bluuebunny/crossref_metadata_2025 huggingface dataset:
Normobaric Hypoxia Exposure During Treadmill Aerobic Exercise After Stroke: A Safety and Feasibility Study
Authors: Kelly Liam P. , Basset Fabien Andre , McCarthy Jason , Ploughman Michelle
Published: August 2021

Objective

To evaluate the safety and feasibility of performing treadmill aerobic exercise in moderate normobaric hypoxia among chronic hemiparetic stroke survivors.

Design

Observational study using convenience sampling.

Setting

Research laboratory in a tertiary rehabilitation hospital.

Participants

Chronic hemiparetic stroke survivors who could walk at least 10-m with or without assistance and had no absolute contraindications to exercise testing.

Intervention

Participants (three male and four female) were asked to complete three normobaric hypoxia exposure protocols within a single session. First, they were passively exposed to normobaric hypoxia through gradual reductions in the fraction of inspired oxygen (FIO2 = 20.9, 17.0, and 15.0%) while seated (5-min at each level of FIO2). Participants were then exposed to the same reductions in FIO2 during constant-load exercise performed on a treadmill at 40% of heart rate reserve. Finally, participants completed 20-min of exercise while intermittently exposed to moderate normobaric hypoxia (5 × 2-min at FIO2 = 15.0%) interspaced with 2-min normoxia intervals (FIO2 = 20.9%).

Outcome Measures

The primary outcome was occurrence of adverse events, which included standardized criteria for terminating exercise testing, blood oxygen saturation (SpO2) <80%, or acute mountain sickness score >2. The increased cardiovascular strain imposed by normobaric hypoxia exposure at rest and during exercise was evaluated by changes in SpO2, heart rate (HR), blood pressure, and rating of perceived exertion (RPE).

Results

One participant reported mild symptoms of nausea during exercise in normobaric hypoxia and discontinued participation. No other adverse events were recorded. Intermittent normobaric hypoxia exposure was associated with reduced SpO2 (MD = −7.4%, CI: −9.8 to −5.0) and increased HR (MD = 8.2, CI: 4.6 to 11.7) compared to intervals while breathing typical room air throughout the 20-min constant-load exercise period. The increase in HR was associated with a 10% increase in relative effort. However, reducing FIO2 had little effect on blood pressure and RPE measurements.

Conclusion

Moderate normobaric hypoxia appeared to be a safe and feasible method to increase the cardiovascular strain of submaximal exercise in chronic hemiparetic stroke survivors. Future studies evaluating the effects of pairing normobaric hypoxia exposure with existing therapies on secondary prevention and functional recovery are warranted.
Toward the Role of EFL/ESL Students’ Silence as a Facilitative Element in Their Success
Authors: Hu Jing
Published: August 2021

Following the recent evolution of research perspectives toward student silence, an increasing number of studies have sought to empirically probe into the beneficial role of this variable in students’ success. Yet, a limited number of review studies have been carried out to illustrate the complex nature of student silence and its positive consequences (e.g., success, increased learning outcomes, etc.). Hence, this study aims to review different definitions of “student silence” to elucidate its facilitative function in EFL/ESL students’ success. Providing empirical evidence, the role of student silence as a facilitative element in English language learning was proved. Finally, some pedagogical implications for EFL/ESL teachers and teacher trainers are also discussed.
Expanding the Curriculum in a School of Public Health
Authors: Jordan Evan J. , Young Sarah J. , Menachemi Nir
Published: August 2021

Public health education has long been concentrated in a core set of public health disciplines such as epidemiology, biostatistics, and environmental health. Despite leaps forward in our understanding of the myriad influences on public health, little has changed in the organization of our educational systems. One issue brought to the forefront of public consciousness by the COVID-19 pandemic is the importance of leisure experiences, such as nature walks, to mental and physical well-being. In this descriptive best practice article, we discuss our approach to expanding the notion of a school of public health and provide examples of how disciplines and subjects outside of the “norms” of public health education, including leisure studies, can help better prepare students for their future in the field. Leisure studies is just one of many subject areas that can add value to public health pedagogy, and we envision many other subject areas and departments integrating into schools of public health in the future.
Under-Consumption Penalties in the Low Carbon Market: Reflections From a Spanish Social Housing Provider
Authors: Antepara Iñigo
Published: August 2021

This proposal focuses on the analysis of three case studies of a Spanish social landlord—Basque Alokabide, submitted to the Carbon Fund for a Sustainable Economy. The calculation of CO2 emissions follows the methodology recommended by the Spanish government. The economic viability of the cases analyzed is calculated, first without taking into account the money obtained from the carbon market, and then taking advantage of the sale of the emissions. The interest value of this work is the examination of how low incomes tend to be overrepresented in social housing, resulting in lower energy consumption and colder dwellings. Since low income tenants under-consume energy, before renovation CO2 emissions are lower, and therefore Alokabide is taking less advantage of the carbon market. Additionally, photovoltaic systems, while easier to implement even at district level, are not eligible in the Spanish program, and this is also disadvantageous. In the policy recommendations, the ex-ante accounting of emissions should be justified on the basis of theoretical energy consumption with average consumers, rather than verifying ex-post actual emissions by low income household that under consume: energy efficiency measures lead to improved thermal comfort, and this added benefit should be taken into account in the economic viability. Toward the goal of reducing emissions after retrofitting, decarbonization is more feasible than the reduction of the energy consumption through the substitution of fossil fuels by renewables to satisfy primary energy needs.
Increase of Adverse Events After Intravenous Injection of Gentamicin in Horses Between 2015 and 2017—From Marketing Authorization Holder's Point of View
Authors: Stammwitz Viola , Honnens Änne , Hochhuth Dieter , Schuberth Hans-Joachim
Published: August 2021

Between 2015 and 2017, a marked increase of anaphylactic-like reactions after intravenous administration of gentamicin was observed first in horses and, later, also in humans. This worldwide issue led to safety measures including product recalls and safety warnings. Here, a German Marketing Authorization Holder (MAH) of an early and intensely affected veterinary product containing gentamicin describes the clinical approach of the company to analyze the root cause and identify the causative agent in the active pharmaceutical ingredient (API). The pharmacovigilance data of the MAH are presented, along with pharmacovigilance phenomena observed during the affected period. An overview is given on further investigations of the API manufacturer and measures taken by all parties involved, including competent authorities to reestablish a safe use of gentamicin products. The histamine contamination of gentamicin was an exceptional incident of global extent, affecting not only veterinary but also human drug safety. The reactions in horses transpired to also be an indicator of a human health threat, which ultimately contributed to an improvement in the safety of human and veterinary medicinal products containing fermentative APIs. The extreme dimensions of this issue emphasise the important role that veterinary clinicians and practitioners play in spontaneous reporting based pharmacovigilance systems and, by this, in drug safety.
Association of DGAT1 With Cattle, Buffalo, Goat, and Sheep Milk and Meat Production Traits
Authors: Khan Muhammad Zahoor , Ma Yulin , Ma Jiaying , Xiao Jianxin , Liu Yue , Liu Shuai , Khan Adnan , Khan Ibrar Muhammad , Cao Zhijun
Published: August 2021

Milk fatty acids are essential for many dairy product productions, while intramuscular fat (IMF) is associated with the quality of meat. The triacylglycerols (TAGs) are the major components of IMF and milk fat. Therefore, understanding the polymorphisms and genes linked to fat synthesis is important for animal production. Identifying quantitative trait loci (QTLs) and genes associated with milk and meat production traits has been the objective of various mapping studies in the last decade. Consistently, the QTLs on chromosomes 14, 15, and 9 have been found to be associated with milk and meat production traits in cattle, goat, and buffalo and sheep, respectively. Diacylglycerol O-acyltransferase 1 (DGAT1) gene has been reported on chromosomes 14, 15, and 9 in cattle, goat, and buffalo and sheep, respectively. Being a key role in fat metabolism and TAG synthesis, the DGAT1 has obtained considerable attention especially in animal milk production. In addition to milk production, DGAT1 has also been a subject of interest in animal meat production. Several polymorphisms have been documented in DGAT1 in various animal species including cattle, buffalo, goat, and sheep for their association with milk production traits. In addition, the DGAT1 has also been studied for their role in meat production traits in cattle, sheep, and goat. However, very limited studies have been conducted in cattle for association of DGAT1 with meat production traits in cattle. Moreover, not a single study reported the association of DGAT1 with meat production traits in buffalo; thus, further studies are warranted to fulfill this huge gap. Keeping in view the important role of DGAT1 in animal production, the current review article was designed to highlight the major development and new insights on DGAT1 effect on milk and meat production traits in cattle, buffalo, sheep, and goat. Moreover, we have also highlighted the possible future contributions of DGAT1 for the studied species.
Effects of Dietary Monoglyceride and Diglyceride Supplementation on the Performance, Milk Composition, and Immune Status of Sows During Late Gestation and Lactation
Authors: Song Hanqing , Chai Wei , Yang Fei , Ren Man , Chen Fang , Guan Wutai , Zhang Shihai
Published: August 2021

Monoglyceride and diglyceride (MGDG) have antiviral and antibacterial properties and act as emulsifiers to increase dietary lipid digestibility. The primary aim of this trial was to investigate the effects of dietary MGDG supplementation on the reproductive performance and health status of sows during late gestation and lactation. One hundred sows (Landrace × Large White, mean parity of 4.59) were randomly allocated to groups receiving two different diets with 4% soybean lipids or 4% MGDG from day 85 of gestation to day 21 of lactation. Milk samples were collected on the day of farrowing (colostrum) and on day 14 of lactation, and blood samples were collected from the sows on days 0, 14, and 21 of lactation. Compared with control sows, sows fed MGDG showed no significant differences in reproductive performance (P > 0.05), but sow back fat thickness loss decreased during lactation (P < 0.05). There was a significant decrease in TNF-α concentrations in colostrum in the MGDG-supplemented sows compared with that in the soybean lipid-supplemented sows (P < 0.05). Dietary MGDG supplementation decreased sow plasma IL-8 concentrations on day 0 of lactation and IL-18 concentrations on days 14 and 21 of lactation (P < 0.05). Administration of MGDG increased the glucose and total cholesterol concentrations in sow plasma on day 14 and day 21, respectively (P < 0.05). The findings in this study suggest that MGDG supplementation could be effective in reducing back fat loss, decreasing inflammatory factor levels, and controlling total cholesterol (TCHO) concentrations during lactation.
A Novel Framework for Testing High-Speed Serial Interfaces in Multiprocessor Based Real-Time Embedded System
Authors: Masood Sabeen , Khan Shoab Ahmed , Hassan Ali , Fatima Urooj
Published: August 2021

Recent years has seen a tremendous increase in processing requirements of present-day embedded system applications. Embedded systems consist of multiple processing elements (PEs) connected to each other using different types of interfaces. Many complicated tasks are accomplished by embedded systems in varied settings, which may introduce errors during inter-processor communication. Testing such systems is tremendously difficult and challenging from testing non-real time systems. A major part of testing real time embedded systems involves ensuring accuracy and timing in synchronous inter-process communication More specifically, the synchronization and inter-processor communication of real-time applications makes testing a challenging task and due to the demand for higher data rate increases, day-by-day, making testing of such systems even more complex. This paper presents a novel frame work that uses multiple instances of simulators with physical high-speed serial interfaces to emulate any real time embedded system communication. The framework presents a testing technique that detects all faults related to synchronization of high-speed synchronous serial interfaces in a systematic manner. The novelty of our approach is to simulate communication across multiple processors in a simulation environment for detecting and localizing bugs. We verify this framework using a case study consisting of an embedded software defined radio (SDR) system. The test results show the applicability of our approach in fixing bugs that relates to synchronization issues that otherwise are very hard to find and fix in very complicated systems, such as SDR.
Study on Preparation of Superhydrophobic Surface by Selective Laser Melting and Corrosion Resistance
Authors: Xing Lei , Yu Jingui , Ji Zhiyong , Huang Xingjiu , Dai Chaoyuan , Zhang Qiaoxin
Published: August 2021

Superhydrophobic surfaces are used in aerospace, medical equipment, transportation, household appliances and other fields due to their special interface characteristics. In this paper, a superhydrophobic surface is prepared by Selective Laser Melting (SLM) 3D-printed technology, comparing the effects of different post-treatment methods and time on corrosion resistance, and revealing the root cause of the transition from hydrophilic to superhydrophobic. The test results show that for samples not treated with fluoro-silane, the microstructure adsorbs the organic matter in the air and reduces the surface energy, which is the root cause of the sample surface changing from hydrophilic to superhydrophobic. In addition, the corrosion resistance of 3D-printed, polished, 3D-printed + modified, and 3D-printed + corroded samples are analyzed. Among them, 3D-printed + modified samples have a longer resistance to corrosion, and after placing in outdoor natural conditions for 60 days, the contact angle of water droplets on the surface is 150.8°, which still has superhydrophobic properties and excellent natural durability.
Real-World Treatment Patterns, Clinical Outcomes, and Health Care Resource Utilization in Extensive-Stage Small Cell Lung Cancer in Canada
Authors: O’Sullivan Dylan E. , Cheung Winson Y. , Syed Iqra A. , Moldaver Daniel , Shanahan Mary Kate , Bebb D. Gwyn , Sit Christina , Brenner Darren R. , Boyne Devon J.
Published: August 2021

The prognosis for extensive-stage small cell lung cancer (ES-SCLC) is poor. Real-world evidence can highlight the unmet clinical need within this population. We conducted a population-based cohort study of ES-SCLC patients diagnosed in a large Canadian province (2010–2018) using electronic medical records and administrative claims data. In all, 1941 ES-SCLC patients were included, of which 476 (25%) were recurrent cases. Median age at diagnosis was 70 years (range: 39–94) and 50.2% were men. Of the 1941 ES-SCLC patients, 29.5% received chemotherapy and radiotherapy, 17.0% chemotherapy alone, 8.7% radiotherapy alone, and 44.8% received best supportive care. Chemotherapy was initiated by 46.5%, 8.5%, and 1.4% of first-, second-, and third-line patients, with lower uptake for recurrent cases. Median survival from first-, second-, and third-line chemotherapy was 7.82 months (95% CI: 7.50–8.22), 5.72 months (95% CI: 4.90–6.87), and 3.83 months (95% CI: 2.99–4.60). Among patients who received first-line therapy, the 2-year and 5-year survival was 7.3% (95% CI: 5.7–9.2) and 2.9% (95% CI: 1.8–4.5). In conclusion, initiation of first-line treatment in ES-SCLC was low with significant attrition in subsequent lines. These results underscore the need for effective front-line treatments and highlight the potential for novel therapies to improve patient outcomes.
On the Dynamics of International Real-Estate-Investment Trust-Propagation Mechanisms: Evidence from Time-Varying Return and Volatility Connectedness Measures
Authors: Lesame Keagile , Bouri Elie , Gabauer David , Gupta Rangan
Published: August 2021

In this paper, we investigate the time-varying interconnectedness of international Real Estate Investment Trusts (REITs) markets using daily REIT prices in twelve major REIT countries since the Global Financial Crisis. We construct dynamic total, net total and net pairwise return and volatility connectedness measures to better understand systemic risk and the transmission of shocks across REIT markets. Our findings show that that REIT market interdependence is dynamic and increases significantly during times of heightened uncertainty, including the COVID-19 pandemic. We also find that the US REIT market along with major European REITs are generally sources of shocks to Asian-Pacific REIT markets. Furthermore, US REITs appear to dominate European REITs. These findings highlight that portfolio diversification opportunities decline during times of market uncertainty.
Using the Semantic Information G Measure to Explain and Extend Rate-Distortion Functions and Maximum Entropy Distributions
Authors: Lu Chenguang
Published: August 2021

In the rate-distortion function and the Maximum Entropy (ME) method, Minimum Mutual Information (MMI) distributions and ME distributions are expressed by Bayes-like formulas, including Negative Exponential Functions (NEFs) and partition functions. Why do these non-probability functions exist in Bayes-like formulas? On the other hand, the rate-distortion function has three disadvantages: (1) the distortion function is subjectively defined; (2) the definition of the distortion function between instances and labels is often difficult; (3) it cannot be used for data compression according to the labels’ semantic meanings. The author has proposed using the semantic information G measure with both statistical probability and logical probability before. We can now explain NEFs as truth functions, partition functions as logical probabilities, Bayes-like formulas as semantic Bayes’ formulas, MMI as Semantic Mutual Information (SMI), and ME as extreme ME minus SMI. In overcoming the above disadvantages, this paper sets up the relationship between truth functions and distortion functions, obtains truth functions from samples by machine learning, and constructs constraint conditions with truth functions to extend rate-distortion functions. Two examples are used to help readers understand the MMI iteration and to support the theoretical results. Using truth functions and the semantic information G measure, we can combine machine learning and data compression, including semantic compression. We need further studies to explore general data compression and recovery, according to the semantic meaning.
A Sensitivity Study of Critical Flow Modeling with MELCOR 2.2 Code Based on the Marviken CFT-21 Experiment
Authors: Włostowski Mateusz , Domitr Paweł , Darnowski Piotr
Published: August 2021

The paper presents a study of the critical flow phenomena modeling with MELCOR 2.2.15254 severe accident computer code. The Marviken Critical Flow Test number 21 (CFT-21) experiment was selected as a representative critical flow-focused Separate Effect Test (SET). Various modeling aspects were investigated, including the nodalization, model setup, parameters, and sensitivity coefficients. A local-type sensitivity study was performed to analytically identify the significant parameters and assess their impact on the modeling. A dedicated regression-based approach, using standard deviation, was developed to find the best-fit MELCOR modeling parameters. The primary purpose of this work was to determine the appropriate approach to model critical flow with MELCOR 2.2, investigate the model performance, assess the influence of nodalization choices, identify significant sensitivity parameters, and prepare recommendations with an emphasis on best-estimate modeling. An additional outcome was the benchmark of the recent code version with the Marviken test.
Optimal Decision Making in Electrical Systems Using an Asset Risk Management Framework
Authors: Alvarez David L. , Rodriguez Diego F. , Cardenas Alben , da Silva F. Faria , Leth Bak Claus , García Rodolfo , Rivera Sergio
Published: August 2021

In this paper, a methodology for optimal decision making for electrical systems is addressed. This methodology seeks to identify and to prioritize the replacement and maintenance of a power asset fleet optimizing the return of investment. It fulfills this objective by considering the risk index, the replacement and maintenance costs, and the company revenue. The risk index is estimated and predicted for each asset using both its condition records and by evaluating the consequence of its failure. The condition is quantified as the probability of failure of the asset, and the consequence is determined by the impact of the asset failure on the whole system. Failure probability is estimated using the health index as scoring of asset condition. The consequence is evaluated considering a failure impact on the objectives of reliability (energy not supplied -ENS), environment, legality, and finance using Monte Carlo simulations for an assumed period of planning. Finally, the methodology was implemented in an open-source library called PywerAPM for assessing optimal decisions, where the proposed mathematical optimization problem is solved. As a benchmark, the power transformer fleet of the New England IEEE 39 Bus System was used. Condition records were provided by a local utility to compute the health index of each transformer. Subsequently, a Monte Carlo contingency simulation was performed to estimate the energy not supplied for a period of analysis of 10 years. As a result, the fleet is ranked according to risk index, and the optimal replacement and maintenance are estimated for the entire fleet.
Structure Optimization of a High-Temperature Oxygen-Membrane Module Using Finite Element Analysis
Authors: Lee Dong Gyu , Nam Ji Woo , Kim Soo-Hyun , Cho Seong Wook
Published: August 2021

The oxygen transport membrane (OTM) is a high-density ion-conducting ceramic membrane that selectively transfers oxygen ions and electrons through the pressure differential across its layers. It can operate at more than 800 °C and serves as an economical method for gas separation. However, it is difficult to predict the material properties of the OTM through experiments or analyses because its structure contains pores and depends on the characteristics of the ceramic composite. In addition, the transmittance of porous ceramic materials fluctuates strongly owing to their irregular structure and arbitrary shape, making it difficult to design such materials using conventional methods. This study analyzes the structural weakness of an OTM using CAE software (ANSYS Inc., Pittsburgh, PA, USA). To enhance the structural strength, a structurally optimized design of the OTM was proposed by identifying the relevant geometric parameters.
Real-Time Dynamic Behavior Evaluation of Active Distribution Networks Leveraging Low-Cost PMUs
Authors: Zheng Xuejun , Wang Shaorong , Su Xin , Xiao Mengmeng , Ullah Zia , Hu Xin , Ye Chang
Published: August 2021

The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.
A State of Health Estimation Method for Lithium-Ion Batteries Based on Improved Particle Filter Considering Capacity Regeneration
Authors: Pan Haipeng , Chen Chengte , Gu Minming
Published: August 2021

Accurately estimating the state of health (SOH) of a lithium-ion battery is significant for electronic devices. To solve the nonlinear degradation problem of lithium-ion batteries (LIB) caused by capacity regeneration, this paper proposes a new LIB degradation model and improved particle filter algorithm for LIB SOH estimation. Firstly, the degradation process of LIB is divided into the normal degradation stage and the capacity regeneration stage. A multi-stage prediction model (MPM) based on the calendar time of the LIB is proposed. Furthermore, the genetic algorithm is embedded into the standard particle filter to increase the diversity of particles and improve prediction accuracy. Finally, the method is verified with the LIB dataset provided by the NASA Ames Prognostics Center of Excellence. The experimental results show that the method proposed in this paper can effectively improve the accuracy of capacity prediction.
Optimal Control of Hydrostatic Drive Wind Turbines for Improved Power Output in Low Wind-Speed Regions
Authors: Ali Ammar , Deldar Majid , Anwar Sohel
Published: August 2021

World wind energy output is steadily increasing in both production scale and capacity of harvesting wind. Hydrostatic transmission systems (HTSs) have been used mostly in offshore wind turbine applications. However, their potential has not been fully utilized in onshore wind turbines, partially due to concerns related to hydraulic losses. In our prior work, it was shown that the annual energy production from a hydrostatic wind turbine can match or exceed that of a mechanical drive wind turbine with appropriate optimal control techniques. In this paper, we present an optimal control technique that can further improve energy production of a hydrostatic wind turbine, particularly in low speed regions. Here, the overall loss equation of the HTS is developed and used as a cost function to be minimized with respect to system model dynamics. The overall loss function includes the losses due to both the aerodynamic efficiencies and the hydrostatic efficiencies of the motor and pump. A nonlinear model of HST is considered for the drive train. Optimal control law was derived by minimizing the overall loss. Both unconstrained and constrained optimization using Pontryagin’s minimum principle were utilized to derive two distinct control laws for the motor displacement. Simulation results showed that both the controllers were able to increase power output with the unconstrained optimization offering better results for the HTS wind turbine in the low speed regions (3–8 m/s).
Feasibility Study of Low Mass and Low Energy Consumption Drilling Devices for Future Space (Mining Surveying) Missions
Authors: Zwierzyński Adam Jan , Teper Wojciech , Wiśniowski Rafał , Gonet Andrzej , Buratowski Tomasz , Uhl Tadeusz , Seweryn Karol
Published: August 2021

The global climate crisis forces the search for new ecological sources of energy and mining methods. Space mining can solve those problems, but, first, wide geological surveying space missions using drilling methods are necessary. Additionally, drilling methods will be important in geological, life searching, geoengineering, and many other studies of extraterrestrial objects. Space is becoming a new area of possible drilling applications. Designing future space drilling missions requires adapting drilling technologies, not only to the conditions of the space environment, but also to the economic and technological realities of the space industry. The possibility of constructing low mass coring devices with energy consumption below 100 W was investigated in this paper. Minimization of energy consumption and mass of a coring is essential for the device to be used in space missions, when lander instruments supplied by low power electric battery are expected to work reliably and the launch cost (depending of mass) at an economically acceptable level. Some similar devices investigated for the future space missions are known from papers listed in the references. To answer whether or not it is possible to build such devices, the authors performed initial drillability tests. The obtained results are presented in this paper.
Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior
Authors: Tanveer Arifa , Zeng Shihong , Irfan Muhammad , Peng Rui
Published: August 2021

Solar PV (photovoltaic) technology has gained considerable attention worldwide, as it can help reduce the adverse effects of CO2 emissions. Though the government of Pakistan is adopting solar PV technology due to its environmental friendliness nature, studies focusing on consumer’s acceptance of solar PV are limited in the country. This research aims to close this knowledge gap by looking into the various considerations that may influence consumers’ willingness to adopt (WTA) solar PV for household purposes. The study further contributes by expanding the conceptual framework of the theory of planned behavior by including three novel factors (perceived risk, perception of self-efficacy, and openness to technology). The analysis is based on questionnaire data collected from 683 households in Pakistan’s provincial capitals, including Lahore, Peshawar, Quetta, Gilgit, and Karachi. The proposed hypotheses are investigated using the state-of-the-art structural equation modeling approach. The empirical results reveal that social norms, perception of self-efficacy, and belief about solar PV benefits positively influence consumers’ WTA solar PV. On the contrary, the perceived risk and solar PV cost have negative effects. Notably, the openness to technology has an insignificant effect. This study can help government officials and policymakers explore cost-effective, risk-free technologies to lessen the environmental burden and make the country more sustainable. Based on research results, study limitations, as well as prospective research directions, are also addressed.
Assessment of Dietary Habits and Physical Activity Changes during the Full COVID-19 Curfew Period and Its Effect on Weight among Adults in Jeddah, Saudi Arabia
Authors: Abdulsalam Nisreen M. , Khateeb Najla A. , Aljerbi Sarah S. , Alqumayzi Waad M. , Balubaid Shaima S. , Almarghlani Atheer A. , Ayad Amira A. , Williams Leonard L.
Published: August 2021

The World Health Organization declared coronavirus disease 2019 (COVID-19) a pandemic in March 2020. Global efforts have been made to prevent the disease from spreading through political decisions and personal behaviors, all of which rely on public awareness. The aim of our study was to examine the effect of dietary habits on weight and physical activity (PA) during the COVID-19 stay-at-home order in Jeddah, Saudi Arabia. An online questionnaire was distributed using social media (Facebook, Twitter, Instagram, and WhatsApp) and email communication. A total of 472 adults (age range, 18–59 years), over half of the study population (68.0%) being females, 55.5% being between 19 and 29 years old, 15.0%—between 30 and 39 years old, and 11.2%—older than 50 years old, participated in the study. Our results indicated that the overall body weight was slightly increased among the 50+ age group (47.2%, p > 0.05), but it highly increased among the 30–39-years-old age group (32.4%, p > 0.05) as compared to before the pandemic lockdown period. Therefore, our results show that a significant difference (p < 0.05) was found for all the assessments: weight status, physical activity patterns, hours spent on screen time, homemade meals, and changes in dietary habits before and during the full COVID-19 curfew period. This study demonstrated that changes in eating habits were commonly reported among the participants who represented the full COVID-19 curfew period and that changes in eating habits and decreased physical activity led to weight gain.
The Persian Version of the Quick Mild Cognitive Impairment Screen (Qmci-Pr): Psychometric Properties among Middle-Aged and Older Iranian Adults
Authors: Rezaei Mohammad , Shariati Behnam , Molloy David William , O’Caoimh Rónán , Rashedi Vahid
Published: August 2021

Brief cognitive screening instruments are used to identify patients presenting with cognitive symptoms that warrant further assessment. This study aimed to evaluate the reliability and validity of the Persian version of the Quick Mild Cognitive Impairment (Qmci-Pr) among middle-aged and older Iranian adults. Consecutive patients aged ≥55 years and caregivers attending with them as normal controls (NCs) were recruited from geriatric outpatient clinics and a hospital in Tehran, Iran. All patients completed the Qmci-Pr before completing an independent detailed neuropsychological assessment and staging using the Clinical Dementia Rating (CDR) Scale. NCs underwent the same assessment. In all, 92 participants with a median age of 70 years (±13) were available. Of these, 20 participants were NCs, 24 had subjective memory complaints (SMC), 24 had mild cognitive impairment (MCI), and 24 had Alzheimer’s disease (AD). The Qmci-Pr had good accuracy in differentiating SMC and NC from MCI (area under the curve (AUC): 0.80 (0.69–0.91)) and in identifying cognitive impairment (MCI and mild AD) (AUC: 0.87 (0.80–0.95)) with a sensitivity of 88% and specificity of 80%, at an optimal cut-off of <53/100. The Qmci-Pr is an accurate short cognitive screening impairment for separating NC and patients with SMC from MCI and identifying cognitive impairment. Further research with larger samples and comparison with other widely used instruments such as the Montreal Cognitive Assessment is needed. Given its established brevity, the Qmci-Pr is a useful screen for Iranian adults across the spectrum of cognitive decline.
Subpopulations of Addictive Behaviors in Different Sample Types and Their Relationships with Gender, Personality, and Well-Being: Latent Profile vs. Latent Class Analysis
Authors: Atroszko Paweł A. , Atroszko Bartosz , Charzyńska Edyta
Published: August 2021

Background: Relatively strong theoretical assumptions and previous studies concerning co-occurring addictive behaviors suggest a subpopulation representing general proclivity to behavioral addictions (BAs), and there are gender-specific subpopulations. This study aimed to compare latent profile analysis (LPA) and latent class analysis (LCA) as the methods of investigating different clusters of BAs in the general student population and among students positively screened for at least one BA. Participants and procedure: Analyses of six BAs (study, shopping, gaming, Facebook, pornography, and food) and their potential antecedents (personality) and consequences (well-being) were conducted on a full sample of Polish undergraduate students (N = 1182) and a subsample (n = 327) of students including individuals fulfilling cutoff for at least one BA. Results: LPA on the subsample mostly replicated the previous four profiles found in the full sample. However, LCA on a full sample did not replicate previous findings using LPA and showed only two classes: those with relatively high probabilities on all BAs and low probabilities. LCA on the subsample conflated profiles identified with LPA and classes found with LCA in the full sample. Conclusions: LCA on dichotomized scores (screened positively vs. negatively) were less effective in identifying clear patterns of interrelationships between BAs based on relatively strong theoretical assumptions and found in previous research. BAs can be investigated on the whole spectrum of behavior, and person-centered analyses might be more useful when they are based on continuous scores. This paper provides more detailed analyses of the four basic clusters of BAs, prevalence, and co-occurrence of particular BAs within and between them, their gender and personality risk factors, relationships to well-being, and their interrelationships as emerging from the results of this and previous studies.
Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective
Authors: He Jiahuan , Luo Xinggang , Zhang Zhongliang , Yu Yang
Published: August 2021

Population aging poses challenges to the immature elderly care service system in many countries. The strategic behaviors of different participants in the provision of elderly care services in a long-term and dynamic situation have not been well studied. In this paper, an evolutionary game model is developed to analyze the strategic behaviors of two types of participants—the government sectors and the private sectors in provision of elderly care services. Firstly, eight scenarios are analyzed, and the evolutionary process and stable strategies are identified. Then, the behavioral strategies of the two types of participants under demand disturbance and dynamic subsidy strategy are analyzed. Simulation experiments are conducted to explore the influence of different initial conditions and parameter changes on the evolutionary process and results. The obtained observations are not only conducive to a systematic understanding of the long-term dynamic provision of elderly care services but also to the policymaking of the government.
Exposure to Self-Directed Violence: Understanding Intention to Help and Helping Behaviors among Adolescents and Emerging Adults
Authors: Banyard Victoria , Mitchell Kimberly J. , Ybarra Michele L.
Published: August 2021

Exposure to self-directed violence (SDV) is a public health issue. Prevention trains third parties to identify SDV risk and provide help. However, we know little about the range of help provided to those who engage in SDV. The current study used a cross-sectional online survey of 1031 adolescents and emerging adults to learn about their SDV exposure, intent and attempts to help, and barriers to helping. Most participants reported SDV exposure, commonly by a peer, and provided help. Regression analyses showed that intent to help was predicted by social norms and having knowledge of resources, and such knowledge (but not social norms) was also related to actual helping behaviors. Qualitative analysis of short open-ended questions on the survey documented a range of barriers to helping. Findings support but also encourage revision of theoretical models of helping upon which prevention programs are based.
Identifying Risk and Resilience Factors Impacting Mental Health among Black and Latinx Adults following Nocturnal Tornadoes in the U.S. Southeast
Authors: First Jennifer M. , Ellis Kelsey , Held Mary Lehman , Glass Florence
Published: August 2021

Prior research has found that Black and Latinx communities in the U.S. face significant disparities that impact both preparedness for severe weather events and the support received after a disaster has occurred. In the current study, we examined key risk and protective factors that impacted mental health among 221 Black and Latinx adult respondents exposed to the 2–3 March 2020 nocturnal tornado outbreak in the U.S. state of Tennessee. Key factors that adversely affected mental health among participants were encountering barriers for receiving tornado warning alerts and tornado-related exposure. Key factors that served a protective mechanism against adverse mental health included having access to physical resources, supportive relationships, and adaptive coping skills. These findings may assist National Weather Service (NWS) personnel, emergency managers, and mental health providers with the development of policies and practices to address barriers and promote protective strategies for future nocturnal tornado events.
Comparison of Emotional Behaviour of Spanish, Chilean and England Adolescents, and Their Relationship with Effective Personality
Authors: Martin-Palacio María Eugenia , Avilés-Dávila Andrés Fernando , Di-Giusto Cristina , Bueno-Álvarez José-Antonio , García-Rodríguez Marta Soledad , Cedeira-Costales Jesus Manuel
Published: August 2021

Analysing the emotional behaviour of adolescents is fundamental because of its relationship with maladaptive behaviour and even possible psychological maladjustments. For this reason, this study had two objectives: to analyse the existence of significant differences in socio-emotional behaviour in English, Spanish, and Chilean adolescents, taking gender into account, and to analyse the relationship between emotional behaviour and the effective personality model in the Spanish and Chilean samples. A total of 2534 adolescents participated (609 English, 1677 Spanish, and 248 Chilean). The Abbreviated Scale of Emotional Behaviour (ECEA_R: aggressive tendency, social reactivity, and social support) and the Effective Personality Questionnaire—Adolescents (CPE-A: academic self-realisation, socio-affective self-realisation, and resolute efficacy) were applied. A MANOVA was carried out to study the differences in adolescents’ socio-emotional behaviour, taking gender and nationality into account, and a correlational analysis was undertaken to explore the relationship between the variables of emotional behaviour (aggressive tendency, social reactivity, and social support) and effective personality (academic self-realisation, socio-affective self-realisation, and resolute efficacy). Regarding the first objective, for aggressive tendency, English male adolescents stood out, followed by Spanish and Chilean male adolescents and females of all nationalities. In terms of social reactivity, female adolescents stood out over male adolescents and, with regard to social support, Spanish adolescents (male and female) stood out over other nationalities, followed by Chilean and English adolescents (males and females). The results of the second objective indicated a negative relationship between aggressive tendency and academic self-realisation, but a positive relationship for social reactivity and social support (only in the Spanish sample) with most of the effective personality factors. The results are relevant for the application of prevention and intervention programs that improve or implement social and affective competencies in adolescents who develop the effective personality construct.
A Longitudinal Assessment of Risk Factors and Chronic Diseases among Immigrant and Non-Immigrant Adults in Australia
Authors: Nisar Mehwish , Kolbe-Alexander Tracy L. , Burton Nicola W. , Khan Asaduzzaman
Published: August 2021

This study aimed to investigate the prevalence and trajectories of chronic diseases and risk behaviors in immigrants from high-income countries (HIC), low–middle-income countries (LMIC), to Australian-born people. Data were used from five waves of the HABITAT (2007–2016) study—11,035 adults living in Brisbane, Australia. Chronic diseases included cancer, diabetes mellitus, coronary heart disease, and chronic obstructive pulmonary disease (COPD). Risk factors assessed were body mass index (BMI), insufficient physical activity, and cigarette smoking. Diabetes mellitus increased in all groups, with the highest increase of 33% in LMIC immigrants. The prevalence of cancers increased 19.6% in the Australian-born, 16.6% in HIC immigrants, and 5.1% in LMIC immigrants. The prevalence of asthma increased in HIC immigrants while decreased in the other two groups. Poisson regression showed that LMIC immigrants had 1.12 times higher rates of insufficient physical activity, 0.75 times lower rates of smoking, and 0.77 times lower rates of being overweight than the Australian-born population. HIC immigrants had 0.96 times lower rates of insufficient physical activity and 0.93 times lower rates of overweight than Australian-born. The findings of this study can inform better strategies to reduce health disparities by targeting high-risk cohorts.
Health and Well-Being Consequences for Gender Violence Survivors from Isolating Gender Violence
Authors: Aubert Adriana , Flecha Ramon
Published: August 2021

Recent scientific literature has published about the Isolating Gender Violence (IGV), the violence exerted by harassers against those who support their victims. IGV provokes suffering to advocates with health and well-being consequences that have been analyzed by more recent research; but IGV provokes also suffering on the victims of gender violence when they see the suffering of those who have supported them and also for their isolation. Thus, the aim of the present study is to explore the health and well-being consequences of IGV on gender violence survivors. The methodology includes three narratives of gender violence survivors whose advocates supporting them were victimized by IGV. The results show, on the one hand, an increase of the health and well-being effects of gender violence already analyzed by scientific literature; on the other hand, new health and well-being effects appear. All survivors interviewed say that, besides those new consequences for their health, the support of those advocates has decreased the global health effects of the total gender violence they suffered.