bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Sustainable Closed-Loop Supply Chain Synergy in Forest Industry Based on High-Quality Development: A Case Study in Northeast China
Authors: Wang Shuya , Tian Xinjia
Published: September 2022

Forestry construction is a fundamental issue related to sustainable economic and social development. However, the traditional development of forestry is currently facing the dilemma of insufficient resource supply, rising labor cost, and a low return on forestry investment, which needs to be transformed into high-quality forestry development. The general view is that synergistic development is an important way to achieve high-quality development. Based on this, the strategic planning and behavioral choices of forestry enterprises under synergistic development are explored. With the objectives of minimizing cost and environmental impacts, and maximizing social benefits, a multi-objective sustainable closed-loop supply chain network planning model is developed to study a real case of a forestry supply chain in northeastern China. A robust optimization approach is used to deal with the relevant uncertain parameters, and a weighted generalized epsilon-constraint approach is applied to solve the multi-objective problem, based on which a GA genetic algorithm is used to solve it. Based on the synergistic development perspective, four different scenario assumptions and sensitivity analyses are made to examine the multi-objective calculation results in this closed-loop supply chain network, and then to analyze the strategic decisions and specific measures for forest industry enterprises to achieve high-quality development. The model results show that realizing supply chain synergy is an effective way to achieve efficient business development in the future. Managers should also establish an acceptable balance between sustainability dimensions while focusing on building a collaborative supply chain development model, where small economic benefits can be appropriately ignored to reduce the harmful effects of the production process on the environment.
HS−SPME/GC−MS Reveals the Season Effects on Volatile Compounds of Green Tea in High−Latitude Region
Authors: Wang Jie , Li Xiaohan , Wu Ying , Qu Fengfeng , Liu Lei , Wang Baoyi , Wang Peiqiang , Zhang Xinfu
Published: September 2022

This study investigates the volatile compounds of green tea produced with different leaves from spring, summer, and autumn in high−latitude region. A total of 95 volatile compounds were identified by gas chromatography–mass spectrometry (GC–MS). Spring, summer and autumn green tea contained 68, 72 and 82 volatile compounds, respectively. Principal component analysis (PCA), partial least squares−discrimination analysis (PLS−DA), and hierarchical cluster analysis (HCA) classified the samples and showed the difference. And 32 key characteristic components were screened out based on variable importance in the projection (VIP) values higher than 1.0. The characteristic volatile compounds of spring green tea including 18 components, such as geranylacetone, phenethyl alcohol, geraniol, β−ionone, jasmone, 1−octen−3−ol and longifolene. 13 components such as 2−methylfuran, indole, 1−octanol, D−limonene and ethanethiol were the key compounds in summer green tea. And 2,4,6−trimethylstyrene was the major differential volatile compounds in autumn green tea. The results increase our knowledge of green tea in different seasons and provide a theoretical basis for production control of green tea.
Heat Treatment, Cultivar and Formulation Modify the Sensory Properties and Consumer Acceptability of Gels Containing Faba Bean (Vicia faba L. minor) Protein Concentrates
Authors: Karolkowski Adeline , Martin Christophe , Bouzidi Emilie , Albouy Jean-François , Levavasseur Loïc , Briand Loïc , Salles Christian
Published: September 2022

Faba bean (Vicia faba L. minor) is an emerging plant-based ingredient due to its environmental, nutritional and functional benefits. However, like other pulses, it exhibits many off-flavours that limit its consumption. Little is known about the flavour of faba beans, and previous studies have focused on volatile compounds and the overall flavour. In the present study, xanthan gum gels were formulated with crude or heated protein concentrates from three faba bean cultivars and with the addition of oil and/or salt. A trained panel analysed the sensory properties of these gels, and a consumer test was carried out to assess their acceptability. The gels formulated with crude protein concentrates exhibited bitterness and green, metallic and rancid notes that decreased consumer appreciation. The heat treatment promoted pleasant notes such as potato, cereal and haricot bean notes and attenuated the most penalising descriptors associated with off-flavours. Cultivar 2 was characterised by fewer off-flavours and should be preferred over the other cultivars for the formulation of faba bean products. This work provides information on the sensory properties of different cultivars of faba bean concentrates and information likely to help improve their acceptability in the context of the formulation of food intended for humans.
An Integrated Study on the Differential Expression of the FOX Gene Family in Cancer and Their Response to Chemotherapy Drugs
Authors: Yin Haimeng , Fan Xing , Zhang Yanqiao , Zhao Nan , Zhao Xiaoyi , Yin Kehan , Zhang Yali
Published: September 2022

The Forkhead-box (FOX) transcription factors, as one of the largest gene families in humans, play key roles in cancer. Although studies have suggested that several FOX transcription factors have a significant impact on cancer, the functions of most of the FOX genes in cancer remain elusive. In the study, the expression of 43 FOX genes in 63 kinds of cancer diseases (including many subtypes of same cancer) and in response to 60 chemical substances was obtained from the Gene Expression Atlas database of the European Bioinformatics Institute. Based on the high degree of overlap in FOXO family members differentially expressed in various cancers and their particular responses to chemotherapeutic drugs, our data disclosed the FOX genes that played an important role in the development and progression of cancer. More importantly, we predicted the role of one or several combinatorial FOX genes in the diagnosis and prognostic assessment of a specific cancer and evaluated the potential of a certain anticancer drug therapy for this type of cancer by integrating patterns of FOX genes expression with anticancer drugs sensitivity.
Buffering Effect of Perseverance and Meditation on Depression among Medical Students Experiencing Negative Family Climate
Authors: Pongpitpitak Nitchamon , Wongpakaran Nahathai , Wongpakaran Tinakon , Nuansri Weerapong
Published: September 2022

Background and objective: Thirty percent of Thai medical students experienced depression. Two of the crucial factors related to depression involved borderline personality disorder symptoms and adverse family experiences, while positive strengths were documented to prevent depression. This study aimed to investigate the role of perseverance and meditation on depression; Methods: Two hundred and forty−three medical student participants completed the following measurements: the core symptom index (CSI−D) to measure depression, the family climate questionnaire to measure family experience, the personality disorder questionnaire to measure borderline personality disorder symptoms, and the inner strength−based inventory to measure perseverance and meditation. In the analysis, depression served as an outcome, adverse family climate as a predictor and borderline personality disorder symptoms as a mediator. In contrast, perseverance and meditation were moderators in the mediation model. Mediation and moderation analysis using PROCESS was applied for testing the direct and indirect effects; Results: Among all, 49.38% were male, and the mean age was 22.76 years. Borderline personality disorder symptoms significantly mediated the relationship between adverse family climate and depression, B = 0.0608 (95%CI, 0.0301 to 0.1052). The variance explained by the mediation model was 43%. Meditation moderated the relationship between adverse family climate and borderline personality symptoms, whereas perseverance and meditation were found to be significant moderators for borderline personality disorder symptoms and depression. With two moderators in the mediation model, the indirect effect index was B = 0.0072 (95%CI, 0.0002 to 0.0160). The 49% of variances of depression were explained by the moderated mediation model; Conclusion: Borderline personality disorder symptoms are a crucial variable involving depression. Meditation practice has been demonstrated to be a buffer between negative family climate to borderline personality disorder symptoms and depressive symptoms, whereas perseverance buffers the effect of borderline personality disorder symptoms of depression. Further research on cultivating meditation and perseverance should be encouraged among those with negative family experiences.
Intelligent Monitoring Model for Fall Risks of Hospitalized Elderly Patients
Authors: Alharbi Amal H. , Hosni Mahmoud Hanan A.
Published: September 2022

Early detection of high fall risk is an important process of fall prevention in hospitalized elderly patients. Hospitalized elderly patients can face several falling risks. Monitoring systems can be utilized to protect health and lives, and monitoring models can be less effective if the alarm is not invoked in real time. Therefore, in this paper we propose a monitoring prediction system that incorporates artificial intelligence. The proposed system utilizes a scalable clustering technique, namely the Catboost method, for binary classification. These techniques are executed on the Snowflake platform to rapidly predict safe and risky incidence for hospitalized elderly patients. A later stage employs a deep learning model (DNN) that is based on a convolutional neural network (CNN). Risky incidences are further classified into various monitoring alert types (falls, falls with broken bones, falls that lead to death). At this phase, the model employs adaptive sampling techniques to elucidate the unbalanced overfitting in the datasets. A performance study utilizes the benchmarks datasets, namely SERV-112 and SV-S2017 of the image sequences for assessing accuracy. The simulation depicts that the system has higher true positive counts in case of all health-related risk incidences. The proposed system depicts real-time classification speed with lower training time. The performance of the proposed multi-risk prediction is high at 87.4% in the SERV-112 dataset and 98.71% in the SV-S2017 dataset.
Gait Characteristics of Dynapenia, Sarcopenia, and Presarcopenia in Community-Dwelling Japanese Older Women: A Cross-Sectional Study
Authors: Mori Kohei , Murata Shin , Goda Akio , Kikuchi Yuki , Shiraiwa Kayoko , Horie Jun , Nakano Hideki
Published: September 2022

Age-related decline in skeletal muscle mass and function are risk factors for reduced walking ability. This study aimed to understand the characteristic gait parameters of presarcopenia (low muscle mass only), dynapenia (low muscle function only), and sarcopenia (low muscle mass and function), which have differing skeletal muscle characteristics. Skeletal muscle mass, grip strength, and gait parameters (walking speed, cadence, step length, step width, gait angle, foot angle, stance time, swing time, and double stance time) were evaluated in 307 older Japanese women. Low muscle function was determined by grip strength and normal walking speed. Participants were assessed and divided into the normal (60.9%, n = 187), presarcopenia (25.7%, n = 79), dynapenia (5.2%, n = 16), and sarcopenia (8.1%, n = 25) groups. When compared to the normal group, the sarcopenia group had significantly slower walking speed and shorter step length (p < 0.05); the dynapenia group had significantly slower walking speed, smaller cadence, shorter step length, wider step width, and longer stance time (p < 0.05); and the presarcopenia group showed no differences. Skeletal muscle function may therefore be more strongly related to reduced walking function in older adults than body composition factors. The decrease in walking function was most pronounced in older women with dynapenia.
Antibiotic-Resistant Bacteria in Drinking Water from the Greater Accra Region, Ghana: A Cross-Sectional Study, December 2021–March 2022
Authors: Ahmed Hawa , Zolfo Maria , Williams Anita , Ashubwe-Jalemba Jacklyne , Tweya Hannock , Adeapena Wisdom , Labi Appiah-Korang , Adomako Lady A. B. , Addico Gloria N. D. , Banu Regina A. , Akrong Mark O. , Quarcoo Gerard , Borbor Selorm , Osei-Atweneboana Mike Y.
Published: September 2022

With safely managed water accessible to only 19% of the population in Ghana, the majority of its residents are at risk of drinking contaminated water. Furthermore, this water could be a potential vehicle for the transmission of antimicrobial-resistant bacteria. This study assessed the presence of bacteria and the antibiotic resistance profile of Escherichia coli and Pseudomonas aeruginosa in drinking-water sources using membrane filtration and Kirby–Bauer disc diffusion methods. A total of 524 water samples were analyzed for total coliforms, total heterotrophic bacteria, E. coli and P. aeruginosa. Samples included sachets, bottled water, tap water, borehole and well water. Most of the sachet and bottled water samples were within the limits of Ghana’s standards for safe drinking water for the parameters tested. Over 50% of tap and borehole water was also free of E. coli and P. aeruginosa. Overall, of 115 E. coli isolates from tap and ground water samples, most were resistant to cefuroxime (88.7%), trimethoprim–sulfamethoxazole (62.6%) and amoxicillin–clavulanate (52.2%). P. aeruginosa isolates were most resistant to aztreonam (48%). Multidrug resistance was predominantly seen among E. coli isolates (58%). Evidence from this study calls for routine antimicrobial resistance surveillance in drinking water across the country and additional treatment of water sources at household levels.
Preliminary Observations from The FILLED Project (FILipino Lived Experiences during COVID-19)
Authors: Sabado-Liwag Melanie D. , Zamora Mayra , Esmundo Shenazar , Sumibcay Jake Ryann , Kwan Patchareeya P.
Published: September 2022

Health outcomes for Asian American subgroups are often aggregated, masking unique experiences and disparities exacerbated by the COVID-19 pandemic, specifically among Filipino Americans (FilAms). The FILLED (Filipino Lived Experiences during COVID-19) Project launched a cross-sectional online survey between April-August 2021 among FilAm adults in Southern California to document community issues and outcomes during the pandemic. Among 223 participants, 47.5% were immigrants, 50.9% identified as essential workers, and 40.6% had a pre-existing health condition before the pandemic. Despite high rates of health insurance (93.3%), 24.4% of the sample did not have a regular health care provider. During the pandemic, 32.7% needed mental health help but did not get it and 44.2% did not know where to get such services. Most respondents felt that the COVID-19 vaccination was a personal responsibility to others (76.9%) and the majority had received at least one dose of a COVID-19 vaccine (82.4%). Regarding COVID-19 impact, participants reported moderate-severe changes in their daily routines (73.5%), access to extended social support (38.9%), housing issues (15.4%), and access to medical care (11.6%). To our knowledge, this study is the first community-driven effort highlighting FilAm community experiences in Southern California, where the highest proportion of FilAms in the United States reside, specifically after the COVID-19 vaccine was made widely available. The observational findings may help community leaders, policy makers, and public health researchers in the design, development, and implementation of post-pandemic intervention strategies used by community-partnered projects that address FilAm and sub-Asian group health disparities at grassroots to societal levels.
Cardiac Structure and Function in Adults with Down Syndrome
Authors: Azar Fadi M. , Beck Victor D. Y. , Matthews Alice M. , Forsha Daniel E. , Hilgenkamp Thessa I. M.
Published: September 2022

Various factors may alter the risk for cardiovascular disease in adults with Down syndrome (Ds), yet few studies have examined differences in cardiac physiology in this population. Previous research suggested lower systolic and diastolic function, but inconsistent methodologies and younger samples warrant research in adults with Ds. Our aim is to compare the cardiac structure and function of adults with Ds to age- and sex-matched adults without Ds. Echocardiography was used to assess systolic function, diastolic function, and cardiac structure in n = 19 adults (Ds n = 9, control n = 10). Regarding cardiac structure, adults with Ds had increased left ventricular posterior wall thickness at end-systole compared to adults without Ds (p = 0.007). Regarding systolic and diastolic function, adults with Ds were found to have lower septal peak systolic annular velocity (S’) (p = 0.026), lower lateral and septal mitral annular early diastolic velocity (E’) (p = 0.007 and p = 0.025, respectively), lower lateral peak mitral annular late diastolic velocity (A’) (p = 0.027), and higher lateral and septal mitral annular early systolic velocity to diastolic velocity ratios (E/e’) (p = 0.001 and p = 0.001, respectively). Differences in both cardiac structure and function were found when comparing adults with Ds to matched adults without Ds. Most of the differences were indicative of worse diastolic function.
Barriers and Facilitators to Participating in an Exercise Referral Scheme among Women Living in a Low Socioeconomic Area in Australia: A Qualitative Investigation Using the COM-B and Theoretical Domains Framework
Authors: McKeon Grace , Mastrogiovanni Chiara , Teychenne Megan , Rosenbaum Simon
Published: September 2022

Introduction: Despite the health benefits of regular physical activity, women experiencing socioeconomic disadvantage are at high risk of inactivity. Reasons are multifactorial but likely include broad structural and contextual factors, e.g., lack of access to physical activity programs, as well as individual and interpersonal factors, e.g., lack of motivation and childcaring responsibilities. Few studies among women of low socioeconomic position (SEP) have explored these factors in-depth, yet an understanding of these factors can help inform the development and improve the uptake of exercise referral schemes. The Theoretical Domains Framework (TDF) and COM-B model (capability, opportunity, motivation and behaviour) were employed to understand behaviours for intervention development. Therefore, using these behaviour change models, this study aimed to explore the barriers and facilitators influencing the use of an exercise referral scheme among women living in a socioeconomically disadvantaged area. Methods: Semi-structured interviews were conducted with women who had registered with a free exercise referral scheme (Live Life Get Active) and living in a low socioeconomic neighbourhood in Sydney, Australia. Reflexive thematic analysis and framework analysis were used to allow naturally identified themes to be determined and then allocated to theoretically driven domains. Results: Nine women were interviewed (aged 30–69 years). Eighteen themes were identified and mapped directly on to the six COM-B constructs. The most reported barriers to using the physical activity referral scheme related to the opportunity construct of the COM-B model, specifically childcare responsibilities, work commitments and environmental barriers. Key facilitators were enjoyment (motivation), no cost (opportunity), instructor led (opportunity) and social support (opportunity). Conclusion: Future exercise referral schemes targeting women living in low-SEP neighbourhoods should ensure programs are designed and delivered to overcome barriers aligned with the constructs of the COM-B model, particularly opportunity-related constructors.
Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information
Authors: Chen Yan , Wang Zhilong
Published: September 2022

With the rapid development of marine trade, marine oil pollution is becoming increasingly severe, which can exert damage to the health of the marine environment. Therefore, detection of marine oil spills is important for effectively starting the oil-spill cleaning process and the protection of the marine environment. The polarimetric synthetic aperture radar (PolSAR) technique has been applied to the detection of marine oil spills in recent years. However, most current studies still focus on using the simple intensity or amplitude information of SAR data and the detection results are not reliable enough. This paper presents a deep-learning-based method to detect oil spills on the marine surface from Sentinel-1 PolSAR satellite images. Specifically, attention gates are added to the U-Net network architecture, which ensures that the model focuses more on feature extraction. In the training process of the model, sufficient Sentinel-1 PolSAR images are selected as sample data. The polarimetric information from the PolSAR dataset and the wind-speed information of the marine surface are both taken into account when training the model and detecting oil spills. The experimental results show that the proposed method achieves better performance than the traditional methods, and taking into account both the polarimetric and wind-speed information, can indeed improve the oil-spill detection results. In addition, the model shows pleasing performance in capturing the fine details of the boundaries of the oil-spill patches.
Temporal Heterogeneity of Short-Term Effects of Particulate Matter on Stroke Outpatients in Seven Major Cities of the Republic of Korea
Authors: Choi Yongsoo , Byun Garam , Lee Jong-Tae
Published: September 2022

Although particulate matter (PM) is a major risk factor for stroke, its effects on hospital outpatients admitted for stroke have not been documented in Korea. In addition, recent studies have reported that the effects of PM10 on circulatory mortality changed over time. We aimed to estimate the effects of PM10 on stroke and their temporal heterogeneity in seven major cities of Korea during the period 2002–2015. The study period was divided into five years of moving time windows, and city-specific PM10 effects on ischemic and hemorrhagic stroke outpatients were calculated. We pooled the estimates using meta-analysis and plotted them into a sequence to identify their temporal trends. A 10 µg/m3 increase of PM10 was significantly associated with increments in hospital outpatients admitted for ischemic stroke (0.24%, 95% CI: 0.04%, 0.44%), but not for hemorrhagic stroke (0.33%, 95% CI: −0.06%, 0.73%). Effect estimates for strokes increased during the period 2003–2013 but decreased after. For the first time, we have estimated the effects of PM10 on hospital outpatients admitted for stroke in Korea. The observed temporal trend in PM10 effects was similar to patterns of circulatory mortality, suggesting that the temporal heterogeneity in PM10 effects might be due to systematic causes rather than random fluctuations.
Association of Workplace Culture of Health and Employee Emotional Wellbeing
Authors: Marenus Michele Wolf , Marzec Mary , Chen Weiyun
Published: September 2022

The study aimed to examine associations between workplace culture of health and employee work engagement, stress, and depression. Employees (n = 6235) across 16 companies voluntarily completed the Workplace Culture of Health (COH) Scale and provided data including stress, depression, and biometrics through health risk assessments and screening. We used linear regression analysis with COH scores as the independent variable to predict work engagement, stress, and depression. We included age, gender, job class, organization, and biometrics as covariates in the models. The models showed that total COH scores were a significant predictor of employee work engagement (b = 0.75, p < 0.001), stress (b = −0.08, p < 0.001), and depression (b = 0.08, p < 0.001). Job class was also a significant predictor of work engagement (b = 2.18, p < 0.001), stress (b = 0.95, p < 0.001), and depression (b = 1.03, p = 0.02). Gender was a predictor of stress (b = −0.32, p < 0.001). Overall, findings indicate a strong workplace culture of health is associated with higher work engagement and lower employee stress and depression independent of individual health status. Measuring cultural wellbeing supportiveness can help inform implementation plans for companies to improve the emotional wellbeing of their employees.
Interactive Compensation Effects of Physical Activity and Sleep on Mental Health: A Longitudinal Panel Study among Chinese College Students during the COVID-19 Pandemic
Authors: Zhang Yao , Liu Jianxiu , Zhang Yi , Ke Limei , Liu Ruidong
Published: September 2022

Physical activity (PA) and sleep are both important to mental health. However, their joint effects on mental distress have not been well explored. The aim of this study was to investigate the joint effects of PA and sleep on mental health, as well as the dose-response relationships between PA and mental health under different sleep health statuses. A longitudinal panel study was adopted to evaluate the relationship between PA, sleep, and mental health among 66 healthy Chinese college students with four online questionnaire surveys. A mixed-effect model with individual-level random effect was used to analyze the interactive regulation effect of PA and sleep on mental health, and a generalized additive model with splines was further fitted to analyze dose-response relationships between variables. When sleep was at a healthy level, no significant difference in mental health was observed between different levels of PA (p > 0.05). However, poor sleepers with moderate and high PA levels indicated significantly fewer negative emotions than those with low PA levels (p = 0.001, p = 0.004). Likewise, poor sleepers who engaged in more moderate intensity PA could significantly reduce negative emotions (β = −0.470, p = 0.011) in a near-linear trend. In summary, both sleep and PA benefit mental health, and they probably regulate mental health through an interactive compensation mode. For good and poor sleepers, PA plays a different role in maintaining and improving mental health. Increasing moderate intensity PA up to moderate-and-high levels is recommended for those who simultaneously suffer from sleep and psychological health problems.
Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use: A Longitudinal Study of Health Disparities
Authors: Tolma Eleni L. , Vesely Sara K. , Boeckman Lindsay , Oman Roy F. , Aspy Cheryl B.
Published: September 2022

This study aimed to assess how the relationship between youth assets and future no-tobacco use among youth might differ according to race/ethnicity, neighborhood factors and socio-economic status. Five waves of annual data were collected from 1111 youth/parent pairs living in Oklahoma, USA who were randomly selected to participate in the Youth Asset Study (YAS). A marginal logistic regression model using all five waves of no-tobacco use, demographics, and their interaction was used to compare the change in tobacco use over time. Among 1111 youth, (Mean age = 14.3; 53% female; 39% White, 28% Hispanic, 24% Black, and 9% other), the percentage of youth tobacco use increased significantly from baseline to wave 5 (4 years after baseline) for all racial/ethnic groups and all parental income groups. Assets were prospectively associated with no tobacco use in the past 30 days for Black, White and Hispanic youth and for youth in all income categories (adjusted odds ratio range = 1.9–2.7). There was one statistically significant association between the neighborhood environment and future no tobacco use. To conclude, the protective effects of youth assets in terms of prevention of tobacco use among youth do not differ by youth race/ethnicity or parental income in the presence of neighborhood environmental factors.
Long-Term Impact of COVID-19 Pandemic in Sleep Quality and Lifestyle in Young Adults
Authors: Barbouzas Argyrios Eleftherios , Malli Foteini , Daniil Zoe , Gourgoulianis Konstantinos
Published: September 2022

Due to the evolution of COVID-19,restrictive measures were implemented. The quarantine resulted in significant changes in the social, economic, and psychological status of the population; however, its long-term effects have not yet been elucidated, especially in young adults. In the present study, people aged 18–25 years were studied, in relation to their sleeping, smoking, eating, and drinking habits and their physical activity before, during, and after the implementation of quarantine. We included 540 respondents (21.2 ± 2.3 years, 62.8% female). During quarantine, from 23 March to 4 May 2020, we observed an increase in sleep hours by 1.17 ± 1.98 h (p < 0.001), time of sleep arrival by 11.90 ± 30.41 min (p < 0.001), and number of daily meals by 0.66 ± 1.4 (p < 0.001). The subjects who consumed alcoholic beverages never or almost never had an upward change of 27.04%, and the time of daily exercise was reduced by 10.16 ± 48.68 min (p < 0.001). After quarantine, cigarettes per day increased by 1.14 ± 3.62 (p < 0.001) and the awakenings during night time increased by 0.37 ± 1.93 (p < 0.001). Our results suggest that the quarantine brought about significant changes in smoking, sleeping habits, physical activity, dietary habits, and the consumption of alcoholic beverages, some of which continue after its termination.
Chronic Kidney Disease as a Cardiovascular Disorder—Tonometry Data Analyses
Authors: Twardawa Mateusz , Formanowicz Piotr , Formanowicz Dorota
Published: September 2022

Tonometry is commonly used to provide efficient and good diagnostics for cardiovascular disease (CVD). There are many advantages of this method, including low cost, non-invasiveness and little time to perform. In this study, the effort was undertaken to check whether tonometry data hides valuable information associated with different stages of chronic kidney disease (CKD) and end-stage renal disease (ESRD) treatment. For this purpose, six groups containing patients at different stages of CKD following different ways of dialysis treatment, as well as patients without CKD but with CVD and healthy volunteers were assessed. It was revealed that each of the studied groups had a unique profile. Only the type of dialysis was indistinguishable a from tonometric perspective (hemodialysis vs. peritoneal dialysis). Several techniques were used to build profiles that independently gave the same outcome: analysis of variance, network correlation structure analysis, multinomial logistic regression, and discrimination analysis. Moreover, to evaluate the classification potential of the discriminatory model, all mentioned techniques were later compared and treated as feature selection methods. Although the results are promising, it could be difficult to express differences as simple mathematical relations. This study shows that artificial intelligence can differentiate between different stages of CKD and patients without CKD. Potential future machine learning models will be able to determine kidney health with high accuracy and thereby classify patients. ClinicalTrials.gov Identifier: NCT05214872.
Nintendo® Wii Therapy Improves Upper Extremity Motor Function in Children with Cerebral Palsy: A Systematic Review with Meta-Analysis
Authors: Montoro-Cárdenas Desirée , Cortés-Pérez Irene , Ibancos-Losada María , Zagalaz-Anula Noelia , Obrero-Gaitán Esteban , Osuna-Pérez María
Published: September 2022

Background: Nintendo® Wii-based therapy (NWT) is a non-immersive virtual reality therapy used to recover upper extremity (UE) motor function in children with cerebral palsy (CP). We aimed primarily to elucidate the effectiveness of NWT in improving UE motor and functional impaired abilities in children with CP, compared to conventional therapy or no intervention. The secondary aim was to assess if NWT is more effective when used alone or combined with conventional therapy. Methods: A systematic review with meta-analysis was conducted from a bibliographic search in PubMed, Scopus, PEDro, Web of Science, and CINHAL, ending in October 2021, in accordance with PRISMA guidelines. We included randomized controlled trials that compared NWT vs. conventional therapy or no intervention in terms of their impact on different UE impaired abilities (grip strength, tip grip strength, UE dissociated movements, functional capacity in daily living activities, gross and fine motor dexterity, and grasping ability) in children with CP. Effect size was calculated with standardized mean difference (SMD) and its 95% confidence interval (95% CI). Results: Nine studies (276 participants) were included. NWT is more effective than conventional therapy at improving grip strength (SMD = 0.5, 95% CI 0.08, 0.91), tip grip strength (SMD = 0.95, 95% CI 0.3, 1.61), and grasping ability (SMD = 0.72, 95%CI 0.14, 1.3). NWT is more effective than conventional therapy at improving functional capacity in daily living activities (SMD = 0.83, 95% CI 0.07, 1.56). For fine manual dexterity, NWT was better than no intervention (SMD = 3.12, 95% CI 1.5, 4.7). Conclusions: Our results indicate that NWT is effective at improving various UE impaired motor skills in children with CP.
A More Intense Examination of the Intensity of Physical Activity in People Living with Chronic Obstructive Pulmonary Disease: Insights from Threshold-Free Markers of Activity Intensity
Authors: Kingsnorth Andrew , Rowlands Alex , Maylor Benjamin , Sherar Lauren , Steiner Michael , Morgan Mike , Singh Sally , Esliger Dale , Orme Mark
Published: September 2022

Physical activity (PA) intensity of people living with chronic obstructive pulmonary disease (COPD) is typically evaluated using intensity thresholds developed in younger, healthier populations with greater exercise capacity and free from respiratory symptoms. This study therefore compared (i) PA differences between COPD and non-COPD controls using both traditional intensity thresholds and threshold-free metrics that represent the volume and intensity of the whole PA profile, and (ii) explored the influence of exercise capacity on observed differences. Moderate-to-vigorous physical activity (MVPA), average acceleration (proxy for volume, mg) and intensity distribution of activity were calculated for 76 individuals with COPD and 154 non-COPD controls from wrist-worn ActiGraph accelerometry. PA profiles representing the minimum intensity (acceleration, mg) during the most active accumulated 5–960 min were plotted. Estimated VO2peak and relative intensity were derived from the incremental shuttle walk test distance. Compared to the non-COPD control group, individuals with COPD recorded fewer MVPA minutes (59 vs. 83 min/day), lower overall waking activity (29.1 vs. 36.4 mg) and a poorer waking intensity distribution (−2.73 vs. −2.57). Individuals with COPD also recorded a lower absolute intensity (acceleration, mg) for their most active 5–960 min, but higher intensity relative to their estimated exercise capacity derived from the ISWT. People with COPD have a lower volume and absolute intensity of PA than controls but perform PA at a higher relative intensity. There is a need to move away from absolute intensity thresholds, and towards personalised or relative-intensity thresholds, to reflect reduced exercise capacity in COPD populations.
Vegetation Dynamics in Response to Climate Change and Human Activities in a Typical Alpine Region in the Tibetan Plateau
Authors: Zhao Guosong , Ren Lijie , Ye Zilong
Published: September 2022

Understanding past and future vegetation dynamics is important for assessing the effectiveness of ecological engineering, designing policies for adaptive ecological management, and improving the ecological environment. Here, inter-annual changes in vegetation dynamics during 2000–2020, contributions of climate change (CC) and human activities (HA) to vegetation dynamics, and sustainability of vegetation dynamics in the future were determined in Gannan Prefecture (a typical alpine region in the Tibetan Plateau), China. MODIS-based normalized difference vegetation index (NDVI), air temperature, precipitation, and land cover data were used, and trend analysis, multiple regression residuals analysis, and Hurst exponent analysis were employed. NDVI increased at a rate of 2.4 × 10−3∙a−1 during the growing season, and vegetation improved in most parts of the study area and some sporadically degraded areas also existed. The increasing rate was the highest in the Grain to Green Project (GTGP) areas. The vegetation in the southern and northern regions was mainly affected by CC and HA, respectively, with CC and HA contributions to vegetation change being 52.32% and 47.68%, respectively. The GTGP area (59.89%) was most evidently affected by HA. Moreover, a Hurst exponent analysis indicated that, in the future, the vegetation in Gannan Prefecture would continuously improve. The study can assist in formulating ecological protection and restoration projects and ensuring sustainable development.
Price and Prejudice? The Value of Chimeric Antigen Receptor (CAR) T-Cell Therapy
Authors: Choi Gyeyoung , Shin Gyeongseon , Bae SeungJin
Published: September 2022

Although chimeric antigen receptor (CAR) T-cell therapy has shown a high response rate in lymphoma patients, its cost-effectiveness is controversial due to the high price and uncertainty of the clinical evidence. In addition to the high acquisition cost of CAR T-cell therapy, procedure and facility cost increase the financial burden considering the frequency of adverse events such as cytokine release syndrome. In clinical research, relatively short follow-up periods were used compared to traditional cancer agents. In addition, head-to-head comparative effectiveness data are unavailable, which is an important factor when evaluating the cost-effectiveness of a new treatment. Additional evidence that will compensate for the uncertainty of existing clinical data is needed for full evaluation of long-term efficacy, safety, and comparative effectiveness.
Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area
Authors: Jánošíková L’udmila , Jankovič Peter , Kvet Marek , Ivanov Gaston , Holod Jakub , Berta Imrich
Published: September 2022

The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, namely mathematical programming, and computer simulation. Using the hierarchical pq-median model, we proposed optimal locations of the stations throughout the country and within large towns. Several solutions have been calculated that differ in the number of stations that are supposed to be relocated to new positions. The locations proposed by the mathematical programming model were evaluated via computer simulation. The approach was demonstrated under the conditions of the Slovak Republic using real historical data on ambulance dispatches. We have concluded that (i) the distribution of the stations proposed by the hierarchical pq-median model overcomes the current distribution; the performance of the system has significantly improved even if only 10% of the stations are relocated to new municipalities; (ii) the variant that relocates 40% of the stations is a reasonable compromise between the benefits and induced costs; (iii) optimizing station locations in big towns can significantly improve the local as well as the nationwide performance indicators; the response times in two regional capitals has reduced by more than 4 min.
Correlates of Changes in Physical Activity and Sedentary Behaviors during the COVID-19 Lockdown in France: The NutriNet-Santé Cohort Study
Authors: Charreire Hélène , Verdot Charlotte , Szabo de Edelenyi Fabien , Deschasaux-Tanguy Mélanie , Srour Bernard , Druesne-Pecollo Nathalie , Esseddik Younes , Allès Benjamin , Baudry Julia , Deschamps Valérie , Salanave Benoit , Galan Pilar , Hercberg Serge , Julia Chantal , Kesse-Guyot Emmanuelle ,   Sapris Study Group, Bellicha Alice , Touvier Mathilde , Oppert Jean-Michel
Published: September 2022

Background: COVID-19 lockdowns represent natural experiments where limitations of movement impact on lifestyle behaviors. The aim of this paper was to assess how lockdowns have influenced physical activity and sedentary behaviors among French adults. Methods: 32,409 adults from the NutriNet-Santé study filled out questionnaires in April 2020 (the first 2 weeks after the start of lockdown) and in May 2020 (2 weeks before the lockdown ended). Participants were asked about changes in physical activity level and sitting time, types of physical activity performed, and main reasons for change. Results: For decreased physical activity, similar rates were found at the beginning and end of the lockdown (58 and 55%–56 and 53%, in women and men, respectively). For increased physical activity, the figures were lower (20 and 14%–23 and 18%, in women and men, respectively). The participants with a decreasing physical activity evolution were older and more likely to be living in urban areas. The main reasons for (i) decreased physical activity were limitations of movement and not liking indoor exercise, (ii) increased physical activity were to stay physically fit and healthy. Physical activity changes were inversely associated with reported depressive symptoms. Conclusions: Changes in physical activity and sedentary behaviors are heterogenous for both genders during the lockdown.
Investigating the Role of Remote Working on Employees’ Performance and Well-Being: An Evidence-Based Systematic Review
Authors: Ferrara Bruna , Pansini Martina , De Vincenzi Clara , Buonomo Ilaria , Benevene Paula
Published: September 2022

Remote working refers to a working model in which employees can pursue work tasks outside the organization due to the use of technology. Several research papers showed that different assumptions are linked to remote work because of the flexibility and autonomy granted to employees when working remotely or from home. This review consistently aims to describe remote work’s role in employees’ well-being and performance. Using the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines, 20 peer-reviewed papers published from 2010 until 2021 were selected for this review. Findings showed various and mixed consequences on employees’ performance and well-being. Specifically, remote working affects employees’ perceptions about themselves and their workplaces and contributes to their physical and mental health, particularly regarding work-life balance. Managerial implications for remote working implementation will be discussed in the paper.
Using Concept Mapping to Define Indigenous Housing First in Hamilton, Ontario
Authors: Firestone Michelle , Zewge-Abubaker Nishan , Salmon Christina , McKnight Constance , Hwang Stephen W.
Published: September 2022

Background: The lasting impact of colonization contributes to the disproportionate rates of homelessness experienced by Indigenous people in Canada. Methods: This study used participatory mixed methods to evaluate an urban, Indigenous-led Housing First program in Ontario to fill knowledge gaps on wise practices addressing the unique dimensions of Indigenous homelessness. Using concept mapping, staff perspectives were engaged to generate 65 unique statements describing program delivery and their interrelationships using a six-cluster map. Results: ‘Team’s Professional Skills’ and ‘Spiritual Practices’ rated high in importance (mean = 4.75 and 4.73, respectively), and feasibility (mean = 4.31 and 4.33, respectively). While fairly important, ‘Partnerships and Agency Supports’ was ranked least feasible (mean = 3.89). On average, clusters rated higher in importance than feasibility. Conclusion: Concept mapping draws from local knowledge, elicits strong engagement, and captured the holistic and client-centred approach of an Indigenous Housing First Model.
Early Detection of SARS-CoV-2 Epidemic Waves: Lessons from the Syndromic Surveillance in Lombardy, Italy
Authors: Bagarella Giorgio , Maistrello Mauro , Minoja Maddalena , Leoni Olivia , Bortolan Francesco , Cereda Danilo , Corrao Giovanni
Published: September 2022

We evaluated the performance of the exponentially weighted moving average (EWMA) model for comparing two families of predictors (i.e., structured and unstructured data from visits to the emergency department (ED)) for the early detection of SARS-CoV-2 epidemic waves. The study included data from 1,282,100 ED visits between 1 January 2011 and 9 December 2021 to a local health unit in Lombardy, Italy. A regression model with an autoregressive integrated moving average (ARIMA) error term was fitted. EWMA residual charts were then plotted to detect outliers in the frequency of the daily ED visits made due to the presence of a respiratory syndrome (based on coded diagnoses) or respiratory symptoms (based on free text data). Alarm signals were compared with the number of confirmed SARS-CoV-2 infections. Overall, 150,300 ED visits were encoded as relating to respiratory syndromes and 87,696 to respiratory symptoms. Four strong alarm signals were detected in March and November 2020 and 2021, coinciding with the onset of the pandemic waves. Alarm signals generated for the respiratory symptoms preceded the occurrence of the first and last pandemic waves. We concluded that the EWMA model is a promising tool for predicting pandemic wave onset.
Association of Personality Traits with Life and Work of Medical Students: An Integrative Review
Authors: Liu Meichen , Cai Jinquan , Chen Hao , Shi Lei
Published: September 2022

Background: Personality traits are the basic components of an individual’s personality. Although there are many published articles about the impact of personality traits on medical students, there is a lack of integrative reviews of existing articles. To close this gap, this review aims to summarize the impact of personality traits on medical students from two perspectives: life and work. Methods: The search was performed using the following databases: PubMed, Web of Science, Google Scholar, and EMBASE. All publications that assessed the impact of personality traits on life and work until February 2022 were selected. Results: Ninety-seven studies were included. The results suggest that personality traits could affect life performance, health outcomes, life satisfaction, the formation of doctor–patient relationships, mastery of knowledge, academic performance, and career planning. Different personality traits can have positive or negative impacts on these aspects. Conclusions: The results of this review suggest that personality traits can affect medical students’ lives and work. Therefore, based on the evaluation of the personality traits of medical students, it is necessary to design targeted courses and training for students to improve their personality traits, to bring about better results in their lives and work.