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21 pages, 1246 KiB  
Article
Real Exchange Rate Channel of QE Monetary Transmission Mechanism in Selected EU Members: The Pooled Mean Group Panel Approach
by Stefan Stojkov, Emilija Beker Pucar and Aleksandar Sekulić
J. Risk Financial Manag. 2025, 18(1), 12; https://doi.org/10.3390/jrfm18010012 - 30 Dec 2024
Viewed by 329
Abstract
Since the Great 2008 Recession, central banks around the world have been coping with monetary consequences that highlight structural costs of the economic system and the rise of unconventional monetary measures. This research aims to capture the heterogeneous effects of expansionary balance sheet [...] Read more.
Since the Great 2008 Recession, central banks around the world have been coping with monetary consequences that highlight structural costs of the economic system and the rise of unconventional monetary measures. This research aims to capture the heterogeneous effects of expansionary balance sheet (Quantitative easing) policy on the real effective exchange rate and current account balance under the different exchange rate regimes in crisis circumstances. The sample is structured of two groups of EU countries differentiated by level of monetary autonomy: EZ members (Austria, Belgium, France, Germany, Netherlands, Italy, and Spain) are represented by countries with the highest level of asset purchases by ECB and emerging monetary autonomous EU economies (Czech, Hungary, Poland, and Romania). Empirical findings are based on the framework of cross-sectional dependent, non-stationary, heterogeneous, dynamic panels using the (Pooled) Mean Group estimator during the 2014Q1–2023Q1 time horizon. Results indicate a positive long-run relationship between the central bank balance sheet assets, the real interest rate, and the real effective exchange rate. A negative long-term relationship with the current account balance is confirmed, suggesting a diminishing external position. While error-correction parameters are significant and heterogeneous, research confirms higher real effective exchange rate reaction for the EZ members with higher adjustment toward worsening competitiveness along with external balance. Full article
(This article belongs to the Special Issue Open Economy Macroeconomics)
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<p>APP structure and ECB balance sheet. (<b>a</b>) Largest asset purchases by ECB per country in the period 2014–2023; (<b>b</b>) ECB balance sheet assets. Source: author’s research according to FRED (2024) data.</p>
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<p>Fluctuation of REER and ECB balance sheet dynamics in the EZ member states (Austria, France, Germany, Netherlands, Italy, Spain, and Belgium) in the period 2014Q1–2023Q1. Source: author’s research according to quarterly IMF and FRED (2024) data.</p>
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<p>Fluctuation of REER and ECB balance sheet dynamics in the EZ member states (Austria, France, Germany, Netherlands, Italy, Spain, and Belgium) in the period 2014Q1–2023Q1. Source: author’s research according to quarterly IMF and FRED (2024) data.</p>
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<p>Fluctuation of REER and central bank’s balance sheet dynamics in the monetary autonomous EU countries (Czech, Poland, Hungary, and Romania) in the period 2014Q1–2023Q1. Source: author’s research according to quarterly IMF and FRED (2024) data.</p>
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<p>Average current account position (% of GDP) for EZ members in the period 2014Q1–2023Q1. Source: author’s research according to quarterly OECD data.</p>
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12 pages, 2257 KiB  
Article
Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake
by Robert Schulenburg, Samuel Emil Schmidt, Jan Schröder, Volker Harth and Rüdiger Reer
Healthcare 2024, 12(21), 2162; https://doi.org/10.3390/healthcare12212162 - 30 Oct 2024
Viewed by 846
Abstract
Background: The value of maximal oxygen uptake (VO2MAX) is a key health indicator. Usually, VO2MAX is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is [...] Read more.
Background: The value of maximal oxygen uptake (VO2MAX) is a key health indicator. Usually, VO2MAX is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit®, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO2MAX. Methods: A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit® measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion. Results: The CPET VO2MAX was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit® estimates at 37.5 (8.1) mL/min/kg (p = 0.28) and 37.3 (7.8) mL/min/kg (p = 0.66). Post-exercise Seismofit® was 33.8 (7.1) mL/min/kg (p < 0.001). The correlation between the CPET and the Seismofit® was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit® measurement was 0.993, indicating excellent test-retest reliability. Conclusion: The novel Seismofit® VO2MAX estimate correlates well with CPET VO2MAX, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit® estimates obtained at rest was very high. Full article
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<p>The study protocol. After enrolment two Seismofit<sup>®</sup> recordings were obtained with 5-min intervals before the CPEP test. A third Seismofit<sup>®</sup> recording was obtained 5 min after the CPET test.</p>
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<p><b>Left</b>: The Seismofit<sup>®</sup> mounted at the lower sternum in supine position. <b>Right</b>: Ensemble average SCG’s from three males with different spirometry VO<sub>2MAX</sub> levels.</p>
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<p>Vilon plot of the VO<sub>2MAX</sub> values estimated by Seismofit<sup>®</sup> and CPET. The white circle represents means. Seismofit<sup>®</sup> and Scatter plots of Seismofit<sup>®</sup> and CPET VO<sub>2MAX</sub> from the first and second Seismofit<sup>®</sup> measurements prior to exercise and the third measurement post-exercise.</p>
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<p>Top row: Scatter and Bland Altman plots between Seismofit<sup>®</sup> and CPET VO<sub>2MAX</sub> from the first and second Seismofit<sup>®</sup> measurement prior to exercise and the third measurement post exercise. Bottom row: Bland Altman plots including 95% lines of agreement.</p>
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24 pages, 3015 KiB  
Article
How Does the Exchange Rate and Its Volatility Influence FDI to Canada? A Disaggregated Analysis
by Hooman Lajevardi and Murshed Chowdhury
J. Risk Financial Manag. 2024, 17(2), 88; https://doi.org/10.3390/jrfm17020088 - 18 Feb 2024
Viewed by 5983
Abstract
This study investigates the relationship between the real effective exchange rate (REER) and its volatility with the net inflow of foreign direct investment (FDI) to Canada, placing a novel emphasis on sector-level analysis. The study utilizes time series data from 2007 to 2022 [...] Read more.
This study investigates the relationship between the real effective exchange rate (REER) and its volatility with the net inflow of foreign direct investment (FDI) to Canada, placing a novel emphasis on sector-level analysis. The study utilizes time series data from 2007 to 2022 and employs the autoregressive distributed lag (ARDL) approach to assess short-run and long-run relationships between the said variables. The findings reveal significant impacts of changes in REER, its volatility, and GDP on net FDI in the short run, with lasting effects of REER and its volatility, lagged GDP, and trade openness on FDI in the long run. At the sectoral level, FDI inflows in energy and mining, manufacturing, finance, and insurance exhibit significant sensitivity to changes in REER. Simultaneously, the volatility of REER has a significant impact on FDI inflows in manufacturing industries and the finance and insurance sector in the short run. In the long run, REER exerts a significant influence on the net FDI inflows in energy and mining, as well as manufacturing industries. The asymmetry in findings suggests a need for sector-specific attention to retaining and attracting FDI to Canada. Full article
(This article belongs to the Section Financial Markets)
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<p>Total net FDI inflows to Canada (in million CAD)<a href="#fn001-jrfm-17-00088" class="html-fn">1</a>, Q1 2007–Q4 2022. Data source: (<a href="#B44-jrfm-17-00088" class="html-bibr">Statistics Canada, Table 36-10-0026-01 2023</a>).</p>
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<p>(<b>a</b>–<b>f</b>) FDI in sectors or industries. Data source: (<a href="#B44-jrfm-17-00088" class="html-bibr">Statistics Canada, Table 36-10-0026-01 2023</a>).</p>
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<p>(<b>a</b>–<b>f</b>) FDI in sectors or industries. Data source: (<a href="#B44-jrfm-17-00088" class="html-bibr">Statistics Canada, Table 36-10-0026-01 2023</a>).</p>
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<p>Stability of Total Net FDI Model.</p>
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<p>Stability of Models for FDI in industries.</p>
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<p>Stability of Models for FDI in industries.</p>
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<p>Stability of net FDI in alternative model.</p>
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11 pages, 3062 KiB  
Article
Hot-Carrier Damage in N-Channel EDMOS Used in Single Photon Avalanche Diode Cell through Quasi-Static Modeling
by Alain Bravaix, Hugo Pitard, Xavier Federspiel and Florian Cacho
Micromachines 2024, 15(2), 205; https://doi.org/10.3390/mi15020205 - 30 Jan 2024
Viewed by 1291
Abstract
A single photon avalanche diode (SPAD) cell using N-channel extended-drain metal oxide semiconductor (N-EDMOS) is tested for its hot-carrier damage (HCD) resistance. The stressing gate-voltage (VGS) dependence is compared to hot-hole (HH) injection, positive bias temperature (PBT) instability and off-mode (V [...] Read more.
A single photon avalanche diode (SPAD) cell using N-channel extended-drain metal oxide semiconductor (N-EDMOS) is tested for its hot-carrier damage (HCD) resistance. The stressing gate-voltage (VGS) dependence is compared to hot-hole (HH) injection, positive bias temperature (PBT) instability and off-mode (VGS = 0). The goal was to check an accurate device lifetime extraction using accelerated DC to AC stressing by applying the quasi-static (QS) lifetime technique. N-EDMOS device is devoted to 3D bonding with CMOS imagers obtained by an optimized process with an effective gate-length Leff = 0.25 µm and a SiO2 gate-oxide thickness Tox = 5 nm. The operating frequency is 10 MHz at maximum supply voltage VDDmax = 5.5 V. TCAD simulations are used to determine the real voltage and timing configurations for the device in a mixed structure of the SPAD cell. AC device lifetime is obtained using worst-case DC accelerating degradation, which is transferred by QS technique to the AC waveforms applied to N-EDMOS device. This allows us to accurately obtain the AC device lifetime as a function of the delay and load for a fixed pulse shape. It shows the predominance of the high energy hot-carriers involved in the first substrate current peak during transients. Full article
(This article belongs to the Special Issue Reliability Issues in Advanced Transistor Nodes)
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<p>3D integration of pixel arrays and CMOS image sensors at the top tier H140 (L<sub>nom</sub> = 140 nm) stacked by hybrid bonding with a bottom tier in C40 (L<sub>nom</sub> = 40 nm) for the logic part of the image sensor with back end of the line (BEOL) and front end of the line (FEOL) parts.</p>
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<p>(<b>a</b>) Schematics of the SPAD cell with a N-channel EDMOS transistor inserted into the logic block. (<b>b</b>) Cut of the transistor structure composed of the N-Drift/p-well, N-ISO socket and lateral isolation by STI. (<b>c</b>) Illustration of the distinct resistance of the EDMOS transistor with R<sub>S</sub>, R<sub>D</sub> from the source/drain terminal, the drift resistance R<sub>Drift</sub> related to the overlap and extension length regions. HCD contribution from the gate-drain region leads to an additional resistance increase (ΔR<sub>HC</sub>) induced by interface traps and trapped charges.</p>
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<p>First step of the QS technique in L<sub>eff</sub> = 0.25 µm N-EDMOS (<b>a</b>) Measurement of the I<sub>DS</sub>-V<sub>GS</sub> curves done with a small V<sub>DS</sub> step (V<sub>DS</sub> = 0.5 V to 5.5 V step 0.25 V) in order to cover all the DC bias points submitted to a fresh device under (AC) operation. (<b>b</b>) Measurement of the substrate current I<sub>SUB</sub>—(V<sub>GS</sub>, V<sub>DS</sub>) for the same voltage range that shows the second hump at high V<sub>GS</sub> due to 2nd impact ionization occurrence, that can reach avalanche mode depending on V<sub>GS</sub> (V<sub>DS</sub>) magnitude.</p>
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<p>(<b>a</b>) Saturated drain current reduction at room temperature (RT) plotted as a function of V<sub>GS</sub> stress between On mode at V<sub>DS</sub> = 7.25 V under HH condition, V<sub>GSmax</sub> = V<sub>DS</sub>/2 and Off mode at V<sub>DS</sub> = 8 V and V<sub>GS</sub> = 0. (<b>b</b>) Same criterion used to compare On mode damage at V<sub>GSmax</sub> (V<sub>DS</sub> = 6.25 V) and PBTI for V<sub>GS</sub> = 4.5 V (V<sub>DS</sub> = 0) between room temperature (RT = 25 °C) and 125 °C (DC) stressing.</p>
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<p>Program sequence of the QS lifetime extraction based on (1) V<sub>D</sub>, V<sub>G</sub>, V<sub>S</sub> signal timing as a function of the N-EDMOS waveforms (2) the generation of the experimental curves from the DC I<sub>DS</sub> (V<sub>GS</sub>, V<sub>DS</sub>) I<sub>SUB</sub> (V<sub>GS</sub>, V<sub>DS</sub>) from <a href="#micromachines-15-00205-f003" class="html-fig">Figure 3</a>a,b which are transferred to every voltage condition found at each timing point of the chronogram. (3) Calculation of the QS lifetime with the set of lifetime parameters (m<sub>i</sub>, C<sub>i</sub>) as the sum of each damage mechanism “i”, of duration X<sub>i</sub>. This is moved automatically to the waveforms, i.e., as a function of V<sub>DS</sub> = V<sub>D</sub> − INT and V<sub>GS</sub> = VCAS − INT (<a href="#micromachines-15-00205-f002" class="html-fig">Figure 2</a>a), for Off-mode (0 ≤ V<sub>GS</sub> &lt; V<sub>Th</sub>), HH stress (V<sub>Th</sub> ≤ V<sub>GS</sub> &lt; 0.18 V<sub>DS</sub>), I<sub>SUB</sub> stress (0.2 V<sub>DS</sub> ≤ V<sub>GS</sub> &lt; 0.44 V<sub>DS</sub>) and V<sub>GSmax</sub> stress (corresponding to 0.46 V<sub>DS</sub> ≤ V<sub>GS</sub> &lt; 0.5 V<sub>DS</sub>). This enables in the final step to calculate the QS lifetime considering the duty cycle factor α<sub>duty</sub> and pulse shape α<sub>shape</sub> of the waveforms.</p>
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<p>(<b>a</b>) ELDO potential simulation of timings for V<sub>D</sub>, V<sub>S</sub> (INT) and V<sub>G</sub> (VCAS) in N-EDMOS into the SPAD cell (<b>b</b>) Waveforms obtained from QS extraction as a function of delay = 0 to 5%, taking into account the corresponding V<sub>GS</sub> (t) V<sub>DS</sub> (t) variation allocated to each damage mechanism phase.</p>
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<p>I<sub>SUB</sub> (V<sub>GS</sub>, V<sub>DS</sub>, time) from a fresh N-EDMOS device transferred to the pulse waveforms as a function of the signal period (f<sub>AC</sub> = 100 kHz) corresponding to the biased EDMOS placed into the SPAD cell (<b>a</b>) for no delay (<b>b</b>) for 3% delay and (<b>c</b>) for 5% delay.</p>
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<p>(<b>a</b>) Integrated (I<sub>SUB</sub>/I<sub>DS</sub>) ratio to the power of lifetime parameter (m<sub>i</sub>) with (1)–(2) for each damage region, which are plotted as a function of no delay and 5% delay. (<b>b</b>) Lifetime extraction for the full pulse waveform based on ΔI<sub>DSat</sub> = 10% compared between QS calculation and the measurements in N-EDMOS into the SPAD cell, biased at V<sub>DDnom</sub> and V<sub>DDmax</sub>.</p>
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15 pages, 253 KiB  
Article
Augmented Gravity Model of Trade with Social Network Analysis
by Çağay Coşkuner and Richard Sogah
Sustainability 2023, 15(19), 14085; https://doi.org/10.3390/su151914085 - 22 Sep 2023
Viewed by 2011
Abstract
The 2030 Agenda for Sustainable Development recognizes international trade as an engine for inclusive economic growth and poverty reduction, and an important means to achieve the sustainable development goals (SDGs). Given this role, international trade and global trade networks have received preeminent attention [...] Read more.
The 2030 Agenda for Sustainable Development recognizes international trade as an engine for inclusive economic growth and poverty reduction, and an important means to achieve the sustainable development goals (SDGs). Given this role, international trade and global trade networks have received preeminent attention in recent times due to the sharp growth in trade volumes and their contributions to poverty reduction and sustainable development over the years. Despite the growth in global trade volumes and the associated benefits, there are worrying concerns about the unprecedented changes in international trade patterns and growing imbalances in trade in recent times. Whereas China’s trade volumes have more than tripled over recent decades and have maintained the largest trade surplus spot ahead of Germany, other major trade surplus countries such as Japan, the USA, etc., have become trade deficit countries with their trade volumes increasing at a much slower pace. In view of the growing changes in international trade patterns and the need to understand the dynamics of the widening global trade imbalances among major trading partners, this paper investigates the factors that determine the export performance of countries. More specifically, the purpose of this paper is to highlight the forces that determine the export performance of countries using an augmented gravity model that includes social networks. The paper provides useful insights into the underlying currents responsible for the changes in international trade patterns. Using data from 51 countries for 41 years, our results indicate that the GDP of both the home country and the partner country affects the home country’s exports positively. Similarly, the real effective exchange rate REER, trade openness OPEN, and dummy variables BORDER, ENGLISH, and EU have produced positive and statistically significant coefficient estimates, and these are in line with our theoretical expectations. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
39 pages, 4228 KiB  
Article
Oil and Non-Oil Determinants of Saudi Arabia’s International Competitiveness: Historical Analysis and Policy Simulations
by Fakhri J. Hasanov and Noha Razek
Sustainability 2023, 15(11), 9011; https://doi.org/10.3390/su15119011 - 2 Jun 2023
Cited by 4 | Viewed by 4710
Abstract
To achieve sustainable economic growth, Saudi Vision 2030’s target is to improve Saudi Arabia’s ranking on the Global Competitiveness Index from 25 in 2015–2016 to within the top 10 by 2030. Saudi Arabia also aims to increase the share of non-oil exports in [...] Read more.
To achieve sustainable economic growth, Saudi Vision 2030’s target is to improve Saudi Arabia’s ranking on the Global Competitiveness Index from 25 in 2015–2016 to within the top 10 by 2030. Saudi Arabia also aims to increase the share of non-oil exports in the non-oil GDP from 16% in 2016 to 50% by 2030. For policymakers to make informed decisions to achieve these goals, they need to understand the driving forces of Saudi Arabia’s competitiveness. To this end, we consider the real effective exchange rate (REER) as a measure of external price competitiveness, as it captures domestic and global price changes. We then examine the REER using a two-stage modeling framework. First, we estimate the REER equation, which allows us to assess the impacts of the determinants and evaluate currency misalignments as a competitiveness indicator. Second, we extend the KAPSARC Global Energy Macroeconometric Model (KGEMM) with the estimated equation, which provides a framework for simulating the competitiveness impacts of the theoretically formulated determinants and other variables relevant to policymakers. The framework also allows us to account for feedback loops. We conduct a policy scenario analysis to quantify the competitiveness effects of the Public Investment Fund’s (PIF) new strategy for 2021–2025. We derive the following policy insights. Authorities may wish to implement initiatives boosting future productivity and, thus, competitiveness, such as PIF investments. Policymakers should be regularly informed about currency misalignment. Government consumption and public investment projects should consider substituting imports with locally produced goods and services. Local content development would also help to diversify the Saudi economy. Finally, attracting more foreign investment and other assets from the rest of the world may lead to technological development and improvement in the economic, financial, and social infrastructure and business environment, all enhancing competitiveness. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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<p>Log levels and growth rates of the variables. (<b>A</b>) Log levels; (<b>B</b>) Growth rates. Source: Authors’ construction.</p>
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<p>Log levels and growth rates of the variables. (<b>A</b>) Log levels; (<b>B</b>) Growth rates. Source: Authors’ construction.</p>
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<p>Actual and equilibrium REER series, 1980–2018. Scheme 2021 data, and authors’ estimations.</p>
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<p>REER misalignment, %. Source: Authors’ calculation.</p>
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<p>REER-based competitiveness linkages in KGEMM. Source: Authors’ construction.</p>
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<p>Government investments (in billion SAR, 2010 prices). Source: Authors’ projections.</p>
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<p>Transmission channel from government investments to competitiveness. Note: <span class="html-fig-inline" id="sustainability-15-09011-i001"><img alt="Sustainability 15 09011 i001" src="/sustainability/sustainability-15-09011/article_deploy/html/images/sustainability-15-09011-i001.png"/></span>, <span class="html-fig-inline" id="sustainability-15-09011-i002"><img alt="Sustainability 15 09011 i002" src="/sustainability/sustainability-15-09011/article_deploy/html/images/sustainability-15-09011-i002.png"/></span>, and <span class="html-fig-inline" id="sustainability-15-09011-i003"><img alt="Sustainability 15 09011 i003" src="/sustainability/sustainability-15-09011/article_deploy/html/images/sustainability-15-09011-i003.png"/></span> indicate direction of impact, increase, and decrease, respectively. Source: Authors’ construction.</p>
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<p>Projected paths of non-oil productivity differential and government consumption size. (<b>A</b>) PRODDN, BaU versus S1; (<b>B</b>) GC, BaU versus S1. Source: Authors’ projections.</p>
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<p>Projected paths of competitiveness and misalignments. (<b>A</b>) REERE, BaU versus S1; (<b>B</b>) Misalignments, BaU versus S1. Source: Authors’ projections.</p>
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<p>Difference between the real international interest rate (<span class="html-italic">r)</span> and Saudi real GDP growth rates (<span class="html-italic">g</span>). (As the real international interest rate, we took the world 10-year government bond rate, in percent, from [<a href="#B144-sustainability-15-09011" class="html-bibr">144</a>]’s March database. We then adjusted it with the world GDP deflator for inflation, in percent, from the WDI [<a href="#B65-sustainability-15-09011" class="html-bibr">65</a>]. We used the GDP deflator for inflation because the WDI’s [<a href="#B65-sustainability-15-09011" class="html-bibr">65</a>] CPI inflation data for the world began in 1981, so using the data would eliminate observations for the year 1980. We took Saudi Arabia’s real GDP growth rates from the WDI [<a href="#B65-sustainability-15-09011" class="html-bibr">65</a>].) Source: Authors’ calculation.</p>
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<p>Time profiles of <span class="html-italic">op</span> and <span class="html-italic">tot.</span> Source: Authors’ computations; GaStat.</p>
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<p>Schematic illustration of KGEMM. Source: [<a href="#B23-sustainability-15-09011" class="html-bibr">23</a>].</p>
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48 pages, 6692 KiB  
Article
Testing for Unit Roots in Nonlinear Dynamic Heterogeneous Panels with Logistic Smooth Breaks
by Tolga Omay and Nuri Ucar
Symmetry 2023, 15(3), 747; https://doi.org/10.3390/sym15030747 - 18 Mar 2023
Cited by 1 | Viewed by 2430
Abstract
In this study, we investigate the validity of the purchasing power parity (PPP) proposition for 34 European and selected global countries. For this purpose, we propose a new unit root test for cross-sectionally dependent heterogeneous panels that allows for gradual structural breaks and [...] Read more.
In this study, we investigate the validity of the purchasing power parity (PPP) proposition for 34 European and selected global countries. For this purpose, we propose a new unit root test for cross-sectionally dependent heterogeneous panels that allows for gradual structural breaks and symmetric nonlinear adjustment toward the equilibrium level. The alternative hypothesis stationary is obtained by symmetric adjustment due to exponential smooth transition autoregression (ESTAR) around a nonlinear trend. Moreover, we provide small sample properties extensively for the newly proposed test. Hence, this alternative hypothesis has been proven to characterize real exchange rate data (REER) correctly. Thus, the newly proposed tests provide an essential basis for modeling the REER series correctly. Finally, we also derive the approximate asymptotic distribution of the proposed tests using new techniques. Full article
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<p>The real exchange rates of 34 countries covering the period of 1994:1–2020:3. Source: Federal Reserve Bank of St. Louis FRED.</p>
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<p>Logistic smooth transitions for model C.</p>
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<p>Logistic smooth transitions for model C.</p>
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<p>Logistic smooth transitions for model C.</p>
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<p>ESTAR (1) graphics of the countries after de-trending LSTT model C.</p>
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<p>ESTAR (1) graphics of the countries after de-trending LSTT model C.</p>
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<p>ESTAR (1) graphics of the countries after de-trending LSTT model C.</p>
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<p>ESTAR (1) graphics of the countries after de-trending LSTT model C.</p>
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<p>Convergence of single and double integer/fractional frequency Fourier function to logistic smooth trends.</p>
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<p>Convergence of single and double integer/fractional frequency Fourier function to logistic smooth trends.</p>
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<p>Convergence pattern of single fractional frequency in 0.01 increments.</p>
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<p>Convergence pattern of single fractional frequency in 0.001 increments.</p>
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<p>Convergence pattern for single fractional frequency.</p>
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<p>Convergence pattern of double fractional frequency in 0.1 increments.</p>
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<p>Convergence pattern of double fractional frequency in 0.01 increments.</p>
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<p>Projection of convergence pattern of double fractional frequency in 0.1 increments.</p>
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<p>Projection of convergence pattern of double fractional frequency in 0.01 increments.</p>
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<p>Density Functions of PLSTTESTAR and PDFFESTAR with double and single fractional frequencies.</p>
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<p>Density functions of PLSTTESTAR and PDFFESTAR with double and single fractional frequencies.</p>
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16 pages, 2415 KiB  
Article
Immediate Effects of Myofascial Release Treatment on Lumbar Microcirculation: A Randomized, Placebo-Controlled Trial
by Andreas Brandl, Christoph Egner, Rüdiger Reer, Tobias Schmidt and Robert Schleip
J. Clin. Med. 2023, 12(4), 1248; https://doi.org/10.3390/jcm12041248 - 4 Feb 2023
Cited by 15 | Viewed by 8178
Abstract
(1) Background: Inflammatory processes in the thoracolumbar fascia (TLF) lead to thickening, compaction, and fibrosis and are thought to contribute to the development of nonspecific low back pain (nLBP). The blood flow (BF) of fascial tissue may play a critical role in this [...] Read more.
(1) Background: Inflammatory processes in the thoracolumbar fascia (TLF) lead to thickening, compaction, and fibrosis and are thought to contribute to the development of nonspecific low back pain (nLBP). The blood flow (BF) of fascial tissue may play a critical role in this process, as it may promote hypoxia-induced inflammation. The primary objective of the study was to examine the immediate effects of a set of myofascial release (MFR) techniques on the BF of lumbar myofascial tissue. The secondary objectives were to evaluate the influence of TLF morphology (TLFM), physical activity (PA), and body mass index (BMI) on these parameters and their correlations with each other. (2) Methods: This study was a single-blind, randomized, placebo-controlled trial. Thirty pain-free subjects (40.5 ± 14.1 years) were randomly assigned to two groups treated with MFR or a placebo intervention. Correlations between PA, BMI, and TLFM were calculated at baseline. The effects of MFR and TLFM on BF (measured with white light and laser Doppler spectroscopy) were determined. (3) Results: The MFR group had a significant increase in BF after treatment (31.6%) and at follow-up (48.7%) compared with the placebo group. BF was significantly different between disorganized and organized TLFM (p < 0.0001). There were strong correlations between PA (r = −0.648), PA (d = 0.681), BMI (r = −0.798), and TLFM. (4) Conclusions: Impaired blood flow could lead to hypoxia-induced inflammation, possibly resulting in pain and impaired proprioceptive function, thereby likely contributing to the development of nLBP. Fascial restrictions of blood vessels and free nerve endings, which are likely associated with TLFM, could be positively affected by the intervention in this study. Full article
(This article belongs to the Section Orthopedics)
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<p>Anatomical orientation and delineation of the zones rated. *DER, dermis; *SAT, subcutaneous adipose tissue; *TFL, thoracolumbar fascia; *ES, erector spinae muscle; ROI, region of interest, zones rated.</p>
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<p>Myofascial release and placebo treatment at the TLF. (<b>a</b>) Sustained manual pressure to the lateral. (<b>b</b>) Lateral stretching of the TLF. (<b>c</b>) Longitudinal glide along the lumbar paravertebral muscles. (<b>d</b>) Longitudinal stretch of the TLF. (<b>e</b>) Unilateral longitudinal stretch of the TLF. Blue arrows show the direction of tissue stretching in the myofascial release treatment. In the placebo treatment, the hands were instead left in place with minimal pressure.</p>
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<p>Flow diagram of the study. <span class="html-italic">n</span>, number; MFR, myofascial release; PLC, placebo.</p>
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<p>Relative changes in percent compared to baseline measurement. For better readability, the error bars are only shown on one side and represent the standard deviation. t<sub>0</sub>, baseline measurement; t<sub>1</sub>, measurement after treatment; t<sub>2</sub>, measurement 40 min after treatment; SO<sub>2</sub>, oxygen saturation; rHb, relative hemoglobin. Group differences, significant at the level * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Changes in lumbar microcirculation between the thoracolumbar fascia morphology groups (group 1: very disorganized (<span class="html-italic">n</span> = 5), group 2: somewhat disorganized (<span class="html-italic">n</span> = 7), group 3 somewhat organized (<span class="html-italic">n</span> = 9), group 4: very organized (<span class="html-italic">n</span> = 9)). SO<sub>2</sub>, oxygen saturation; rHb, relative hemoglobin; AU, arbitrary units. Error bars represent the standard deviation. Significant at the level * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Thoracolumbar fascia of a patient with acute lumbar back pain. The red circles show adhesions 24 h after the lumbago, likely causing the posterior layer to take on an undulating shape that was classified as “somewhat disorganized” (<b>a</b>). 10 days after myofascial release treatment, the adhesions disappeared and the pain subsided completely. The fascia was then rated as “very organized” (<b>b</b>). *DER, dermis; *SAT, subcutaneous adipose tissue; *TFL, thoracolumbar fascia; *ES, erector spinae; ROI, region of interest, zones rated.</p>
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12 pages, 1737 KiB  
Article
Immediate Effects of Instrument-Assisted Soft Tissue Mobilization on Hydration Content in Lumbar Myofascial Tissues: A Quasi-Experiment
by Andreas Brandl, Christoph Egner, Monique Schwarze, Rüdiger Reer, Tobias Schmidt and Robert Schleip
J. Clin. Med. 2023, 12(3), 1009; https://doi.org/10.3390/jcm12031009 - 28 Jan 2023
Cited by 7 | Viewed by 2693
Abstract
Background: Instrument-assisted soft tissue mobilization (IASTM) is thought to alter fluid dynamics in human soft tissue. The aim of this study was to investigate the influence of IASTM on the thoracolumbar fascia (TLF) on the water content of the lumbar myofascial tissue. Methods: [...] Read more.
Background: Instrument-assisted soft tissue mobilization (IASTM) is thought to alter fluid dynamics in human soft tissue. The aim of this study was to investigate the influence of IASTM on the thoracolumbar fascia (TLF) on the water content of the lumbar myofascial tissue. Methods: In total, 21 healthy volunteers were treated with IASTM. Before and after the procedure and 5 and 10 min later, lumbar bioimpedance was measured by bioimpedance analysis (BIA) and TLF stiffness was measured by indentometry. Tissue temperature was recorded at the measurement time points using an infrared thermometer. Results: Bioimpedance increased significantly from 58.3 to 60.4 Ω (p < 0.001) at 10-min follow-up after the treatment. Temperature increased significantly from 36.3 to 36.6 °C from 5 to 10 min after treatment (p = 0.029), while lumbar myofascial stiffness did not change significantly (p = 0.84). Conclusions: After the IASTM intervention, there was a significant increase in bioimpedance, which was likely due to a decrease in water content in myofascial lumbar tissue. Further studies in a randomized control trial design are needed to extrapolate the results in healthy subjects to a symptomatic population as well and to confirm the reliability of BIA in myofascial tissue. Full article
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<p>Four electrode method measurement of bioimpedance. E1,2, current electrode; E3,4, voltage electrode; V, voltameter; U, voltage; I<sub>0</sub>, current; Impedance area represents the current-carrying measured range.</p>
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<p>Measuring arrangement. 1, electrode pair 1; 2, electrode pair 2; 3, measurement point MP<sub>1</sub>; BIA, bioimpedance analysis; L1, 1st lumbar vertebra; L4, 4th lumbar vertebra.</p>
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<p>Instrument-assisted soft tissue mobilization tool Fazer 1.</p>
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<p>Flow chart of the study.</p>
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<p>Changes in water content after 15 min of stretching according to Schleip et al. [<a href="#B27-jcm-12-01009" class="html-bibr">27</a>]. The figure shows the mean water content of lumbar fascia samples from porcine (<span class="html-italic">n</span> = 25) after a 15-min stretch of 4%. The error bars show the standard deviation.</p>
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12 pages, 2088 KiB  
Article
Work-Related Musculoskeletal Disorders of Dance Teachers in Germany: A Retrospective Cross-Sectional Study
by Mike Schmidt, Rüdiger Reer, David A. Groneberg, Fabian Holzgreve and Eileen M. Wanke
Appl. Sci. 2023, 13(3), 1454; https://doi.org/10.3390/app13031454 - 22 Jan 2023
Cited by 1 | Viewed by 1405
Abstract
Maintaining the health of the musculoskeletal system in movement-associated professions, such as dance teachers, is of great importance for a long-lasting professional practice. The aim of this study was to record work-related musculoskeletal disorders and the causes of these disorders for dance teachers [...] Read more.
Maintaining the health of the musculoskeletal system in movement-associated professions, such as dance teachers, is of great importance for a long-lasting professional practice. The aim of this study was to record work-related musculoskeletal disorders and the causes of these disorders for dance teachers in Germany. Using a retrospective cross-sectional survey, data on the occurrence of work-related musculoskeletal disorders were collected from n = 229 dance teachers (n = 181 women) aged 22 to 77 years using an online questionnaire. In addition, differences between sexes and among dance styles were also analysed. The 12-month prevalence was 60.7% (95% CI: 54.0–67.1%), and on average, there were 2.58 disorders per dance teacher per year (95% CI: 2.17–2.99). Work-related musculoskeletal disorders affected male and female dance teachers equally (φ = 0.11, p = 0.088 resp. r = 0.080, p = 0.228). Disorders were mainly registered in the lumbar spine (14.9%) and ankle (12.5%). The joint structures (29.9%) and the musculature (20.9%) were most frequently affected. Specific movements (18.7%) as well as fatigue and overload (15.2%) were mentioned as the most frequent causes irrespective of dance style. Dance teachers were not significantly differently affected for musculoskeletal disorders than the general working German population. Future studies should consider a prospective evaluation of such disorders and develop prevention strategies with consideration of sex- and dance style-specific circumstances. Full article
(This article belongs to the Special Issue Sports Medicine and Injury Prevention)
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<p>WMSD localisation by sex. Note: Shown are the relative distributions (number of symptoms in the specific body region in relation to the total number of symptoms) of WMSD (%) for men and women. There were no significant distribution differences.</p>
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<p>WMSD localisation by dance style. Note: Shown are the relative distributions (number of symptoms for the specific body region in relation to the total number of symptoms) of WMSD (%) for the three dance style categories: ballet, contemporary dance, and the combination of ballet and contemporary dance. There were no significant distribution differences.</p>
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<p>Affected tissue by sex. Note: Shown are the relative distribution (number of symptoms for the specific tissue in relation to the total number of symptoms) differences between men and women for the different tissue types. Significant differences are marked with an asterisk.</p>
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<p>Affected tissue by dance style. Note: The relative distributions (number of symptoms for the specific tissue in relation to the total number of symptoms) of WMSD (%) for the different tissue types among the three dance style categories: ballet, contemporary dance, and the combination of ballet and contemporary dance are illustrated. Significant differences are marked with an asterisk.</p>
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<p>Circumstances of WMSDs depending on the sex. Note: Shown are exogenous (on the left side) and endogenous (on the right side) factors as potential causes of WMSDs for men and women. Relative frequencies are based on the number of the specific factors in relation to the total number of all circumstances for the corresponding sex. Significant distribution differences are marked with an asterisk.</p>
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<p>Circumstances of WMSDs depending on the dance style. Note: The relative distributions of exogenous (on the left side) and endogenous (on the right side) factors as potential causes of WMSDs in the three dance style categories: ballet, contemporary dance, and the combination of ballet and contemporary dance are illustrated. Relative frequencies are based on the number of the specific factors in relation to the total number of all circumstances for the corresponding dance style. Significant distribution differences are marked with an asterisk.</p>
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9 pages, 257 KiB  
Article
BMI Alterations and Prevalence of Overweight and Obesity Related to Service Duration at the German Armed Forces
by Lorenz Scheit, Barbara End, Jan Schröder, Manuela Andrea Hoffmann and Rüdiger Reer
Healthcare 2023, 11(2), 225; https://doi.org/10.3390/healthcare11020225 - 11 Jan 2023
Cited by 5 | Viewed by 1365
Abstract
The aim of this study was to assess body mass index (BMI) and the prevalence of overweight and obesity at entry and release of service at the German Armed Forces and related associations to service duration. In a cohort study, 85,076 paired BMI [...] Read more.
The aim of this study was to assess body mass index (BMI) and the prevalence of overweight and obesity at entry and release of service at the German Armed Forces and related associations to service duration. In a cohort study, 85,076 paired BMI data sets (entry and release of service) of German soldiers (5.4% females) between 2010 to 2022 were analyzed retrospectively to assess BMI alterations and the prevalence of overweight (BMI ≥ 25) and obesity (BMI ≥ 30) after service durations of ≤2 years, 2–5 years, or ≥5 years. Between 2010 and 2022, we observed a trend for BMI increases of about 0.5 kg/m2 (X2 = 27.104, p = 0.007). BMI increases differed significantly (X2 = 7622.858, p < 0.001) after ≤2 years (0.0 kg/m2), after 2–5 years (1.1 kg/m2), and after ≥5 years (2.4 kg/m2) and were correlated to service duration (r = 0.34, p < 0.001). The prevalence of overweight increased from 33.0% to 39.5%. Obesity prevalence increased from 3.7% to 6.3%. The switch to obesity was more pronounced for longer service durations. Although secular trends for BMI increases among soldiers were in line with the general population, service duration was related to BMI increases. Especially, the service time depending on pronounced prevalence of obesity should be a matter of debate leading to counteracting measures at the German Armed Forces. Full article
16 pages, 3134 KiB  
Article
Associations between Deformation of the Thoracolumbar Fascia and Activation of the Erector Spinae and Multifidus Muscle in Patients with Acute Low Back Pain and Healthy Controls: A Matched Pair Case-Control Study
by Andreas Brandl, Christoph Egner, Rüdiger Reer, Tobias Schmidt and Robert Schleip
Life 2022, 12(11), 1735; https://doi.org/10.3390/life12111735 - 28 Oct 2022
Cited by 13 | Viewed by 4210
Abstract
Background: The thoracolumbar fascia (TLF) is thought to play a role in the development of LBP, but it is not yet clear which factor of TLF changes is a cause and which is an effect. Therefore, some studies used the cross-correlation function (CCR) [...] Read more.
Background: The thoracolumbar fascia (TLF) is thought to play a role in the development of LBP, but it is not yet clear which factor of TLF changes is a cause and which is an effect. Therefore, some studies used the cross-correlation function (CCR) to reveal time-dependent relationships between biomechanical and neuromotor factors. Methods: Ten patients with acute low back pain (aLBP) were matched to healthy controls. Simultaneous recording of surface electromyography (sEMG) of the erector spinae and multifidus muscle (ESM) and dynamic ultrasound (US) images of TLF deformation were performed during trunk extension. CCR functions and Granger causality (GC) were used to describe the relationship between the two measures. Results: CCR time lags were significant higher in the aLBP group (p = 0.04). GC showed a direct effect of TLF deformation on ESM activation only in the aLBP group (p < 0.03). Conclusions: The results suggest that in aLBP, ESM activity is significantly affected by TLF, whereas this relationship is completely random in healthy subjects studied with CCR and GC comparisons of dynamic US imaging and sEMG data signals. Fascia-related disturbances in neuromotor control, particularly due to altered muscle spindle functions, are suspected as a possible mechanism behind this. Full article
(This article belongs to the Section Medical Research)
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<p>Trunk extension task. First, a 45° flexion position of the trunk is assumed; extension to the neutral position is performed using a computer-generated time announcement (8 s).</p>
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<p>Single image measurement of <span class="html-italic">TLF</span> deformation. LD/TLF, junction, coordinate point <span class="html-italic">X</span>1|<span class="html-italic">Y</span>1 (orange dot) of the junction of LD to TLF; reference, coordinate point <span class="html-italic">X</span>2|<span class="html-italic">Y</span>2 (green dot) at the bottom of the TLF and centred on the US shadow; US, ultrasound; LD, latissimus dorsi muscle; TLF, thoracolumbar fascia.</p>
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<p>Measurement setup. Transducer, US transducer; Ref, artificial reference point; sEMG, surface electromyography. Picture adapted (<a href="https://creativecommons.org/licenses/by-sa/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by-sa/4.0/deed.en</a> (accessed on 23 March 2022)).</p>
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<p>Cross-correlation analysis of the measurement series. Ultrasound TLF, deformation of TLF; ES L1 right, sEMG of right ES at L1 level; cross-correlation EMG / ES L1 right, cross-correlation function of the two time series (shows a significant time lag at 1.9 s in this example, indicating that the sEMG and deformation series are correlated). TLF, thoracolumbar fascia; EMG, electromyography; ES, erector spinae muscle.</p>
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<p>Estimation plot of TLF deformation. TLF, thoracolumbar fascia; LBP, acute low back pain group; Control, control group; significant at level <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Estimation plot of time lags between the TLF deformation and the sEMG activity of the paraspinal muscles. TLF, thoracolumbar fascia; sEMG, surface electromyography; LBP, acute low back pain group; Control, control group; both significant at level <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Estimation plot of the Granger causality: TLF deformation causes sEMG activity. TLF, thoracolumbar fascia; sEMG, surface electromyography; LBP, acute low back pain group; Control, control group; both significant at level <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Differences of associations between patients with low back pain (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) and healthy control subjects (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>). (<b>A</b>) A clear separation of the TLF and the epimysium of the ES by areolar connective tissue is shown (red arrows). (<b>B</b>) No clear separation is detectable (red arrows). In addition, the TLF appears distinctly thickened and disorganized (yellow arrows). (<b>C</b>) The diagram shows a gradual decrease in the deformation of the pre-extended thoracolumbar fascia with trunk extension. Surface EMG (<b>E</b>) shows no significant cross correlations (<b>G</b>), correlation coefficients all below 2/√n. (<b>D</b>) The thoracolumbar fascia behaves completely differently. It does not show a continuous behaviour but changes its deformation several times immediately in the course, causing a significant change in the sEMG activity (<b>F</b>) with a time shift of 1.9 s (<b>H</b>), red time delay. ES, erector spinae muscle; LD, latissimus dorsi muscle; SPI, serratus posterior inferior muscle; TLF, thoracolumbar fascia; sEMG, surface electromyography; orange dot shows the LD/TLF junction.</p>
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<p>Pathological fascial triggered alteration of muscle spindle function.</p>
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24 pages, 1877 KiB  
Systematic Review
The Impact of “Home Office” Work on Physical Activity and Sedentary Behavior during the COVID-19 Pandemic: A Systematic Review
by Patrick Wilms, Jan Schröder, Rüdiger Reer and Lorenz Scheit
Int. J. Environ. Res. Public Health 2022, 19(19), 12344; https://doi.org/10.3390/ijerph191912344 - 28 Sep 2022
Cited by 36 | Viewed by 6628
Abstract
In 2020, as part of the COVID-19 pandemic, governments around the world enacted a wide variety of regulations and laws to contain the incidence of infection. One of these measures was the relocation of work to the home office. The objective of this [...] Read more.
In 2020, as part of the COVID-19 pandemic, governments around the world enacted a wide variety of regulations and laws to contain the incidence of infection. One of these measures was the relocation of work to the home office. The objective of this review was to analyze the influence of the home office in correlation with regulations on sedentary and activity behavior. A search was conducted on various electronic databases from November 2019 to January 2022, using the search terms physical activity (PA), COVID-19, and working from home. The primary outcomes were changes in PA and sedentary behavior (SB). Secondary outcomes included pain, mood, and parenting stress. The risk of bias was assessed using the (NHLBI) Quality Assessment Tool. For the review, 21 articles met the inclusion criteria (total n = 1268). There was a significant increase in SB (+16%) and a decrease in PA (−17%), Light PA (−26%), and moderate to vigorous PA (−20%). There was also an increase in pain and parenting stress and a decrease in well-being. Due to our significant results, programs that promote movement should be created. Future studies should explore how an increase of PA and a reduction of SB in the home office could be achieved. Full article
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<p>PRISMA 2020 flow diagram [<xref ref-type="bibr" rid="B7-ijerph-19-12344">7</xref>].</p>
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<p>Change in PA to stringency level with trend line (red) [<xref ref-type="bibr" rid="B11-ijerph-19-12344">11</xref>,<xref ref-type="bibr" rid="B14-ijerph-19-12344">14</xref>,<xref ref-type="bibr" rid="B21-ijerph-19-12344">21</xref>,<xref ref-type="bibr" rid="B24-ijerph-19-12344">24</xref>,<xref ref-type="bibr" rid="B25-ijerph-19-12344">25</xref>,<xref ref-type="bibr" rid="B27-ijerph-19-12344">27</xref>,<xref ref-type="bibr" rid="B29-ijerph-19-12344">29</xref>].</p>
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<p>Moderate to vigorous PA to stringency level with trend line (red) [<xref ref-type="bibr" rid="B10-ijerph-19-12344">10</xref>,<xref ref-type="bibr" rid="B11-ijerph-19-12344">11</xref>,<xref ref-type="bibr" rid="B16-ijerph-19-12344">16</xref>,<xref ref-type="bibr" rid="B20-ijerph-19-12344">20</xref>,<xref ref-type="bibr" rid="B23-ijerph-19-12344">23</xref>,<xref ref-type="bibr" rid="B24-ijerph-19-12344">24</xref>,<xref ref-type="bibr" rid="B25-ijerph-19-12344">25</xref>,<xref ref-type="bibr" rid="B26-ijerph-19-12344">26</xref>,<xref ref-type="bibr" rid="B28-ijerph-19-12344">28</xref>].</p>
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13 pages, 4231 KiB  
Article
Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women
by Marcelle Schaffarczyk, Bruce Rogers, Rüdiger Reer and Thomas Gronwald
Sensors 2022, 22(17), 6536; https://doi.org/10.3390/s22176536 - 30 Aug 2022
Cited by 91 | Viewed by 13431
Abstract
Heart rate variability (HRV) is frequently applied in sport-specific settings. The rising use of freely accessible applications for its recording requires validation processes to ensure accurate data. It is the aim of this study to compare the HRV data obtained by the Polar [...] Read more.
Heart rate variability (HRV) is frequently applied in sport-specific settings. The rising use of freely accessible applications for its recording requires validation processes to ensure accurate data. It is the aim of this study to compare the HRV data obtained by the Polar H10 sensor chest strap device and an electrocardiogram (ECG) with the focus on RR intervals and short-term scaling exponent alpha 1 of Detrended Fluctuation Analysis (DFA a1) as non-linear metric of HRV analysis. A group of 25 participants performed an exhaustive cycling ramp with measurements of HRV with both recording systems. Average time between heartbeats (RR), heart rate (HR) and DFA a1 were recorded before (PRE), during, and after (POST) the exercise test. High correlations were found for the resting conditions (PRE: r = 0.95, rc = 0.95, ICC3,1 = 0.95, POST: r = 0.86, rc = 0.84, ICC3,1 = 0.85) and for the incremental exercise (r > 0.93, rc > 0.93, ICC3,1 > 0.93). While PRE and POST comparisons revealed no differences, significant bias could be found during the exercise test for all variables (p < 0.001). For RR and HR, bias and limits of agreement (LoA) in the Bland–Altman analysis were minimal (RR: bias of 0.7 to 0.4 ms with LoA of 4.3 to −2.8 ms during low intensity and 1.3 to −0.5 ms during high intensity, HR: bias of −0.1 to −0.2 ms with LoA of 0.3 to −0.5 ms during low intensity and 0.4 to −0.7 ms during high intensity). DFA a1 showed wider bias and LoAs (bias of 0.9 to 8.6% with LoA of 11.6 to −9.9% during low intensity and 58.1 to −40.9% during high intensity). Linear HRV measurements derived from the Polar H10 chest strap device show strong agreement and small bias compared with ECG recordings and can be recommended for practitioners. However, with respect to DFA a1, values in the uncorrelated range and during higher exercise intensities tend to elicit higher bias and wider LoA. Full article
(This article belongs to the Special Issue ECG Signal Processing Techniques and Applications)
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<p>Flow chart of the methodical procedure.</p>
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<p>Placement of 12-channel ECG electrodes and Polar H10 chest strap device. V1 = 4th intercostal space at the right border of the sternum, V2 = 4th intercostal space at the left border of the sternum, V3 = midway between locations V2 and V4, V4 = at the mid-clavicular line in the 5th intercostal space, V5 = at the anterior axillary line in the same horizontal level as V4, V6 = at the mid-axillary line on the same horizontal level as V4 and V5. Limb leads of the right arm (RA) and left arm (LA) outwardly on the shoulders and right leg (RL) and left leg (LL) leads at the lower edge of the ribcage.</p>
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<p>Regression plots for the comparison of the ECG (ECG) and the Polar H10 sensor chest strap device (H10) during PRE and POST the incremental exercise test for RR (<b>A</b>), HR (<b>B</b>) and DFA a1 (<b>C</b>). Slope, coefficient of determination (R<sup>2</sup>), standard error of estimate (SEE), and <span class="html-italic">p</span>-value shown in the bottom right plot.</p>
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<p>Bland–Altman analysis for the comparison of the ECG (ECG) and the Polar H10 sensor chest strap device (H10) during PRE and POST the incremental exercise test for RR (<b>A</b>), HR (<b>B</b>) and DFA a1 (<b>C</b>). Center solid line in each plot represents the mean bias (difference) between each paired value as absolute (RR, HR) or relative values (DFA a1). The top and bottom dashed lines are 1.96 standard deviations from the mean difference.</p>
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<p>Regression Plots for the comparison of the ECG (ECG) and the Polar H10 sensor chest strap device (H10) during the incremental exercise test for RR (<b>A</b>), HR (<b>B</b>) and DFA a1 (<b>C</b>). Slope, coefficient of determination (R<sup>2</sup>), standard error of estimate (SEE), and <span class="html-italic">p</span>-value are shown in the bottom right of each plot.</p>
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<p>Bland–Altman analysis for the comparison of the ECG (ECG) and the Polar H10 sensor chest strap device (H10) during the incremental exercise test for RR (<b>A</b>), HR (<b>B</b>) and DFA a1 (<b>C</b>). Center solid line in each plot represents the mean bias (difference) between each paired value as absolute (RR, HR) or relative values (DFA a1). The top and bottom dashed lines are 1.96 standard deviations from the mean difference.</p>
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<p>(<b>A</b>) Modified Kubios HRV Premium software output of the raw data of the Polar H10 in one female participant during incremental cycling ramp; the measurement window from minute 12 to 14 indicated artifacts over 6%. (<b>B</b>) Evaluation of the lead 2 ECG waveform recordings during the same measurement window, there could be found some runs of atrial premature complexes (APC, red circles) pointing to the artifacts not really being artifacts and the pitfall of a mere RR recording.</p>
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<p>Course of DFA a1 during incremental cycling ramp until voluntary exhaustion, including 3 min of warm-up at 50 W and 5 min cool-down of unloaded pedaling (vertical lines mark the start of the incremental test and voluntary exhaustion) wearing a 12-channel ECG (lead 2 and 3 depicted), a Polar H10 sensor chest strap device, and a Movesense Medical sensor single channel ECG chest strap device. (<b>A</b>) Good agreement between both chest strap devices and ECG lead 3 in a male participant with ECG lead 2 showing up to 50% divergence from the Polar H10 sensor (artifacts 2% during the marked range; black line). (<b>B</b>) Female participant with excellent agreement in all four signal sources. (<b>C</b>) Female participant showing high artifacts (&gt;5%) in the marked range (black line) and deviations between all 4 devices. (<b>D</b>) Obese participant with artifacts &gt;5% in the marked range (black line) for ECG Lead 2 and 3 with a subsequent complete loss of the signals. However, minimal artefacts in Polar H10 and Movesense Medical sensor (&lt;1%).</p>
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<p><b>Figure A1</b>. Representative participant ECG waveforms and background noise during 6 s windows using Kubios HRV software Premium. (<b>A</b>) Pre incremental ramp, HR of 65 bpm. (<b>B</b>) During incremental ramp just prior to exhaustion, HR of 180 bpm. (<b>C</b>) Post incremental ramp, HR of 92 bpm.</p>
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16 pages, 1314 KiB  
Article
Impact of the COVID-19 Pandemic on Export Survival from Latin American Countries
by Luis Felipe Beltrán Morales
Sustainability 2022, 14(14), 8709; https://doi.org/10.3390/su14148709 - 16 Jul 2022
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Abstract
This study analyzes the impact of mobility, as a proxy for social distancing measures, on exports to the United States of America (USA). A mobility index based on Google mobility indicators was constructed using Principal Component Analysis (PCA), and an Accelerated Failure Time [...] Read more.
This study analyzes the impact of mobility, as a proxy for social distancing measures, on exports to the United States of America (USA). A mobility index based on Google mobility indicators was constructed using Principal Component Analysis (PCA), and an Accelerated Failure Time (AFT) model was fitted to the data on export survival from a group of Latin American countries (LATAM). Higher mobility levels are associated with an acceleration of the risk of interruption of exports. On average, LATAM shows higher export survival levels compared to other countries. Higher innovation and market concentration favored export survival, while higher levels of Real Effective Exchange Rate (REER) are associated with a lower probability of survival. Differences in survival were found between export sectors with regard to machinery and transportation equipment. Full article
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Figure 1

Figure 1
<p>Hazard and survival curves.</p>
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<p>Survival curves of LATAM vs. other countries.</p>
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<p>Predictive margins and 95% Confidence Intervals for mobility levels.</p>
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<p>Predictive margins for Maritime connectivity index, Real Effective Exchange Rate, Competitiveness 12th pillar Innovation and Herfindahl-Hirschman Index.</p>
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<p>Source: Own elaboration.</p>
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