bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of information presentation on self-other risk decision-making
Authors: Zhou Ai-Bao , Li Ze-Kai , Xie Pei , Lei Yun-Fei , Cui Bai-Xia , Yao Le , Huang Chao-Zheng
Published: May 2024

To explore the impact of social distance and information presentation types on self-other risk preferences in monetary tasks. Risk preferences were examined in decision-making tasks and experiential information tasks within different frameworks when participants made decisions for themselves and others. Experiment 1 employed experiential decision tasks and revealed individual differences in decision-making for oneself and others. In gain situations, participants exhibited more risk aversion when deciding for others compared to themselves. Experiment 2 presented both types of information simultaneously to investigate whether risk decisions for oneself and others are influenced by information types. Results indicated that experiential information led participants to make more conservative choices for others, while descriptive information eliminated this effect. This study discovered the influence of social distance on self-other risk decisions and the role of information presentation types in self and other risk decision-making. Future research could further explore self-other decision-making from the perspectives of decision-makers’ traits and culture.
Randomized controlled trial of an Acceptance and Commitment Therapy and compassion-based group intervention for persons with inflammatory bowel disease: the LIFEwithIBD intervention
Authors: Ferreira Cláudia , Pereira Joana , Skvarc David , Oliveira Sara , Galhardo Ana , Ferreira Nuno B. , Lucena-Santos Paola , Carvalho Sérgio A. , Matos-Pina Inês , Rocha Bárbara S. , Portela Francisco , Trindade Inês A.
Published: May 2024

Objectives

This study tested the acceptability and efficacy of an Acceptance and Commitment Therapy and compassion-based intervention (LIFEwithIBD) in people with IBD through a two-arm RCT.

Methods

Participants were recruited at the Gastroenterology Department of the Coimbra University Hospital between June and September 2019. Of the 355 patients screened, those who accepted to participate were randomly assigned to one of two conditions: experimental group (LIFEwithIBD; n = 25) or control group (waitlist; n = 29). Participants completed self-report measures at baseline (T0), post-intervention (T1), and 3-month (T2) and 12-month (T3) follow-ups. Intervention acceptability was assessed. Efficacy was examined using intent-to-treat ANCOVA at post-intervention after adjusting for baseline values of depressive, anxiety, and stress symptoms (primary outcomes). Linear mixed models for all longitudinal outcomes were also analysed. Inflammatory and disease biomarkers were determined at T0 and T3.

Results

Acceptability results revealed a high level of satisfaction and perceived usefulness regarding the intervention. Both groups experienced a significant decrease in stress symptoms and IBD symptom perception at T1. No significant differences were observed at follow-up for the primary outcomes. The experimental group reported significantly lower Crohn’s disease Symptom severity at T2 than the control group. Post-hoc analyses designed to mitigate floor effects revealed substantial treatment effects for the experimental group regarding anxiety symptoms. No significant differences were observed in clinical biomarkers from T0 to T3.

Conclusion

The LIFEwithIBD intervention shows promising, although preliminary, benefits for managing disease activity and reducing anxiety symptoms in IBD patients with high severity of psychological distress.

Clinical trial registration: https://www.clinicaltrials.gov/ct2/show/NCT03840707, identifier NCT03840707.
Post-traumatic stress disorder in the Ethiopian population dwelling in war-affected communities: a systematic review and meta-analysis
Authors: Tinsae Techilo , Shumet Shegaye , Tadesse Gebresilassie , Takelle Girmaw Medfu , Rtbey Gidey , Melkam Mamaru , Andualem Fantahun , Nakie Girum , Segon Tesfaye , Koye Selam , Fentahun Setegn , Alemu Wondale Getinet
Published: May 2024

Background

Post-traumatic stress disorder (PTSD) is a significant mental health concern globally, particularly prevalent in populations exposed to war and conflict. This systematic review and meta-analysis aim to examine the prevalence and factors associated with PTSD among the Ethiopian population residing in war-affected communities.

Methods

The review was reported according to the PRISMA guidelines. Related eligible published articles were searched in electronic online databases such as PubMed, Scopus, Web of Science, MEDLINE/PubMed, Scopus, Embase, Science Direct, Web of Science, Google Scholar, and Google, which reported the prevalence and risk factors of PTSD among people dwelling in the war-affected area until January 2024. The relevant data was extracted using a Microsoft Excel spreadsheet. The meta-analysis was conducted using STATA version 11. The estimated pooled prevalence and risk factors were estimated using a random effect model. The potential risk of publication bias was checked using a funnel plot and Egger’s statistical test.

Results

A total of nine published studies with 6107 participants were analyzed in this meta-analysis. The estimated pooled prevalence of PTSD among people living in war-affected areas was 48.4%, with a 95% CI (37.1, 59.8). This study found a higher prevalence of PTSD among women than men. Being female (OR= 2.2, 95% CI: 1.2, 4.3), witnessing a murder of a loved one (OR= 3.0, 95% CI: 1.2, 7.5), depression symptoms (OR= 2.8, 95% CI: 1.4, 5.6), and anxiety symptoms (OR= 3.4, 95% CI: 1.4, 8.0), a close family member killed or seriously injured (OR= 3.1, 95% CI: 1.2, 7.7), a moderate and high perceived threat to life (OR= 3.4, 95% CI: 1.3, 9.1), and poor social support (OR= 4.4, 95% CI: 1.1, 18.7) were associated with post-traumatic stress disorder.

Conclusion

The result of this study shows the high prevalence rate of PTSD in people living in war-affected areas. disparities in PTSD prevalence, with women being at higher risk, and identified risk factors were witnessing the murder of a loved one, experiencing depression and anxiety, and perceived threat to life. Addressing PTSD in war-affected communities requires comprehensive interventions that consider both individual and contextual factors.

Systematic review registration

www.crd.york.ac.uk/PROSPERO/, identifier CRD42024501384.
The relationship between social support and erectile dysfunction in middle-aged and older males
Authors: Hu Danqing , Zhang Yan , Zhang Yue , Liu Yu , Han Jing
Published: May 2024

Background

Erectile dysfunction (ED) is a prevalent condition that affects middle-aged and older men, impacting their sexual health and overall wellbeing. We aimed to investigate the relationship between social support and ED among this specific population.

Methods

Data were collected from the National Health and Nutrition Examination Survey. Social support was assessed through various dimensions, including emotional support, material support, and network support. Multivariate logistic regression was performed to examine the association between social support and ED, and a propensity-score-matched (PSM) analysis was further conducted.

Results

Among 1938 middle-aged and older males in the United States, 49.9% had a history of ED. ED was more prevalent in older individuals and those with comorbidities such as hypertension, prostate disease, higher serum creatinine level, and mental problems. Males with lower social support scores had a higher weighted rate of ED (P < 0.001). After adjusting for multiple variables in logistic regression analysis, a higher social support score was associated with a 19% lower likelihood of ED (weighted odds ratio [OR] 0.81, 95% confidence interval [CI] 0.66–0.98, P = 0.032). The association remained consistent after propensity score matching (OR 0.80, 95% CI 0.66–0.98, P = 0.028).

Conclusion

Social support appears to be associated with a reduced risk of ED in middle-aged and older men. Further research is needed to better understand this relationship and explore interventions that enhance social support, potentially leading to improved sexual health outcomes.
Tobacco consumption and quality of life among teachers: a bidirectional problem
Authors: Lizana Pablo A. , Vilches-Gómez Valentina , Barra Lisseth , Lera Lydia
Published: May 2024

Objective

This study aimed to assess a bidirectional relationship between tobacco consumption and quality of life among Chilean teachers.

Participants and methods

A total sample of 647 Chilean teachers was included in a cross-sectional study (71.8% female). Teachers completed a socio-demographic questionnaire, tobacco consumption habits, and the SF-36 questionnaire to assess quality of life. Logistic regression models were employed for statistical analysis of quality of life (physical component summary; mental component summary), and tobacco consumption habits, adjusted for socio-demographic characteristics.

Results

A total of 34.2% of teachers were smokers, with the majority (68.7%) being under 45 years old. Smoking teachers demonstrated lower quality of life scores, particularly mental health and emotional problems dimensions, and mental component summary (p < 0.05) versus nonsmoking teachers. Teachers with tobacco consumption had a higher risk of low mental component summary (OR: 1.74; p < 0.001), and those with low mental component summary were more likely to be smokers (OR: 1.77; p < 0.002).

Conclusion

These findings indicate that tobacco consumption adversely affects the quality of life of Chilean teachers, especially their mental health. Psychological support should be provided to help teachers cope with work stress and tobacco consumption.
Exploring biorepository donation patterns, experiences, and recommendations: a mixed-methods study among Appalachian adults enrolled in a sugary drink reduction program
Authors: Brock Donna-Jean P. , Markwalter Theresa , Li Li , Venkatesh Samyukta , Helms Cheyanne , Reid Annie , Zoellner Jamie M.
Published: May 2024

Background

Under-represented subgroups in biomarker research linked to behavioral health trials may impact the promise of precision health. This mixed methods study examines biorepository donations across an Appalachian sample enrolled in a sugary drink reduction intervention trial.

Methods

Participants enrolled in the behavioral trial were asked to join an optional biomarker study and were tracked for enrollment and biospecimen returns (stool and/or buccal sample). At 6 months, participants completed a summative interview on decision-making process, experiences collecting samples, and recommendations to encourage biospecimen donation. Return rates were analyzed across demographics (i.e., age, gender, race, education, income, health literacy status, and rurality status) using chi-squares. Qualitative data were content coded with differences compared by biomarker study enrollment and donation choices.

Results

Of the 249 invited participants, 171 (61%) enrolled, and 63% (n = 157) returned buccal samples and 49% (n = 122) returned stool samples. Metro residing participants were significantly more likely (56%) to return stool samples compared to non-metro (39%) counterparts [x2(1) = 6.61; p = 0.01]. Buccal sample return had a similar trend, 67 and 57%, respectively for metro vs. non-metro [x2(1) = 2.84; p = 0.09]. An additional trend indicated that older (≥40 years) participants were more likely (55%) to donate stool samples than younger (43%) participants [x2(1) = 3.39; p = 0.07]. No other demographics were significantly associated with biospecimen return. Qualitative data indicated that societal (66–81%) and personal (41–51%) benefits were the most reported reasons for deciding to donate one or both samples, whereas mistrust (3–11%) and negative perceptions of the collection process (44–71%) were cited the most by those who declined one or both samples. Clear instructions (60%) and simple collection kits (73%) were donation facilitators while challenges included difficult stool collection kits (16%) and inconveniently located FedEx centers (16%). Recommendations to encourage future biorepository donation were to clarify benefits to science and others (58%), provide commensurate incentives (25%), explain purpose (19%) and privacy protections (20%), and assure ease in sample collection (19%).

Conclusion

Study findings suggest the need for biomarker research awareness campaigns. Researchers planning for future biomarker studies in medically underserved regions, like Appalachia, may be able to apply findings to optimize enrollment.
A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures
Authors: Zhu Guiming , Wen Yanchao , Cao Kexin , He Simin , Wang Tong
Published: May 2024

Traditional environmental epidemiology has consistently focused on studying the impact of single exposures on specific health outcomes, considering concurrent exposures as variables to be controlled. However, with the continuous changes in environment, humans are increasingly facing more complex exposures to multi-pollutant mixtures. In this context, accurately assessing the impact of multi-pollutant mixtures on health has become a central concern in current environmental research. Simultaneously, the continuous development and optimization of statistical methods offer robust support for handling large datasets, strengthening the capability to conduct in-depth research on the effects of multiple exposures on health. In order to examine complicated exposure mixtures, we introduce commonly used statistical methods and their developments, such as weighted quantile sum, bayesian kernel machine regression, toxic equivalency analysis, and others. Delineating their applications, advantages, weaknesses, and interpretability of results. It also provides guidance for researchers involved in studying multi-pollutant mixtures, aiding them in selecting appropriate statistical methods and utilizing R software for more accurate and comprehensive assessments of the impact of multi-pollutant mixtures on human health.
SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers
Authors: Quintas Sebastião , Vaysse Robin , Balaguer Mathieu , Roger Vincent , Mauclair Julie , Farinas Jérôme , Woisard Virginie , Pinquier Julien
Published: May 2024

Perceptual measures, such as intelligibility and speech disorder severity, are widely used in the clinical assessment of speech disorders in patients treated for oral or oropharyngeal cancer. Despite their widespread usage, these measures are known to be subjective and hard to reproduce. Therefore, an M-Health assessment based on an automatic prediction has been seen as a more robust and reliable alternative. Despite recent progress, these automatic approaches still remain somewhat theoretical, and a need to implement them in real clinical practice rises. Hence, in the present work we introduce SAMI, a clinical mobile application used to predict speech intelligibility and disorder severity as well as to monitor patient progress on these measures over time. The first part of this work illustrates the design and development of the systems supported by SAMI. Here, we show how deep neural speaker embeddings are used to automatically regress speech disorder measurements (intelligibility and severity), as well as the training and validation of the system on a French corpus of head and neck cancer. Furthermore, we also test our model on a secondary corpus recorded in real clinical conditions. The second part details the results obtained from the deployment of our system in a real clinical environment, over the course of several weeks. In this section, the results obtained with SAMI are compared to an a posteriori perceptual evaluation, conducted by a set of experts on the new recorded data. The comparison suggests a high correlation and a low error between the perceptual and automatic evaluations, validating the clinical usage of the proposed application.
Propensity to spend and borrow at a time of high pressure: the role of the meaning of Christmas and other psychological factors
Authors: McNair Simon , Nyhus Ellen K. , Ranyard Rob
Published: May 2024

In countries where Christmas is celebrated, people are under pressure in the pre-Christmas period to spend on gift giving and socializing. In two surveys we investigated the role of the meaning of Christmas and other psychological factors in predicting propensity to spend and to borrow at Christmas (UK, N = 190; Norway, N = 234). Factor analysis identified three components of the meaning of Christmas: financial concerns, indulgence, and social aspects. In both surveys: (1) experienced financial hardship predicted lower propensity to spend and greater propensity to borrow; (2) more proactive money management practices predicted lower propensity to borrow; (3) material values predicted both propensity to spend and propensity to borrow; and (4) seeing Christmas as a time for indulgence, experiencing more negative affect, or less positive affect, predicted greater propensity to spend. Additionally: (1) in the UK survey, participants who said that lately they had been feeling more negative (more angry, sad etc.) had a greater propensity to borrow; and (2) in the Norway survey, an obligation gift motivation predicted propensity to spend. The findings show that in addition to experienced financial hardship and proactive money management practices, the psychological factors of material values, affect, and gift motivation play significant roles in propensity to spend and/or borrow at this time of high pressure. We discuss implications for theory and financial interventions.
Development of the Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN) course
Authors: Ripat Jacquie , Giesbrecht Ed , Borisoff Jaimie , Morales Ernesto , Harrison Kara-Lyn
Published: May 2024

Introduction

Manual wheelchairs (MWC) users have limited mobility during winter months as they encounter many environmental barriers that restrict their community participation. This paper outlines the creation and standardization of an outdoor environment designed to simulate the real-life conditions and obstacles experienced by MWC users in winter.

Methods and results

This study consisted of four phases. In Phase 1, researchers used a qualitative ethnographic approach to document the specific challenges and adaptive strategies used by MWC users in winter conditions. In Phase 2, key informants with expertise in MWC winter mobility were invited to co-design the Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN) course. Participants reviewed draft design solutions and offered their input and suggestions to expand upon the initial design. A second co-design workshop included additional key informants, including service providers, policymakers, and professionals with expertise in landscape architecture and engineering, to validate the design solution. The workshops resulted in a detailed illustration of the SNOWMAN course, including five sections: platforms with side slopes, a miniature ice rink, curbs and curb cuts, a path with uneven winter surfaces, and modular ramps at various slopes. Phases 3 and 4 marked the conclusion of the study and involved fabrication of the SNOWMAN course and establishment of a standardized protocol for course setup and maintenance.

Discussion

The project aimed to offer several additional potential benefits, supported by the various stakeholders across the study phases, that extend beyond creation of a controlled and safe environment for wheelchair users to develop their winter mobility skills. Practicing wheelchair skills in this area may assist wheelchair users in gaining confidence which may ultimately translate to increased participation in the community.
A comparison of visual and auditory EEG interfaces for robot multi-stage task control
Authors: Arulkumaran Kai , Di Vincenzo Marina , Dossa Rousslan Fernand Julien , Akiyama Shogo , Ogawa Lillrank Dan , Sato Motoshige , Tomeoka Kenichi , Sasai Shuntaro
Published: May 2024

Shared autonomy holds promise for assistive robotics, whereby physically-impaired people can direct robots to perform various tasks for them. However, a robot that is capable of many tasks also introduces many choices for the user, such as which object or location should be the target of interaction. In the context of non-invasive brain-computer interfaces for shared autonomy—most commonly electroencephalography-based—the two most common choices are to provide either auditory or visual stimuli to the user—each with their respective pros and cons. Using the oddball paradigm, we designed comparable auditory and visual interfaces to speak/display the choices to the user, and had users complete a multi-stage robotic manipulation task involving location and object selection. Users displayed differing competencies—and preferences—for the different interfaces, highlighting the importance of considering modalities outside of vision when constructing human-robot interfaces.
Luteinizing hormone supplementation in controlled ovarian stimulation: the Iran Delphi consensus
Authors: Salehpour Saghar , Aleyasin Ashraf , Moini Ashraf , Mousavifar Nezhat , Mohammadhossein Nasresfahani , Abdollahi Fard Sedighe , Marzie Sanuiefarimani , Mohammadzadeh Mahboubeh , Fischer Robert
Published: May 2024

Introduction

Numerous consensus documents worldwide address luteinizing hormone (LH) supplementation in controlled ovarian stimulation, yet to the best of our knowledge, only one consensus paper has been published in the Arab region. This study presents a Delphi consensus by seven Iranian infertility experts, offering real-world clinical perspectives. The aim was to develop evidence-based opinions on LH's role alongside FSH in various aspects of assisted reproductive technology (ART), including LH levels, monitoring, r-hLH use, and suggested activity.

Methods

Employing the Delphi consensus approach, the Iran consensus unfolded in three steps. In Step 1, eight out of 10 statements gained approval, while two unclear statements were removed. In Step 2, the 20-member extended panel voted on the remaining eight statements.

Results

Only one (statement 3) lacked consensus (55% agreement), prompting a modification. The revised statement (noted as statement 3′) obtained an 83% agreement.

Discussion

The clinical perspectives included in this consensus complement clinical guidelines and policies that help further improve treatment outcomes, especially for patients with FSH and LH deficiencies.
The socio-ecological impacts of tourism development in the Western Ghats: the case of Wayanad, India
Authors: Varghese Philip , Natori Yoji
Published: May 2024

Globally, tourism is advocated as a development tool with the potential to uplift socioeconomic conditions for marginalized populations and contribute to biodiversity conservation. The expectation is that the tourism model of development can bring about positive social changes in diverse communities by broadening livelihood opportunities and concurrently preserving crucial ecosystems, which are regarded as valuable assets in the tourism sector. We investigated Wayanad in the Western Ghats of India, challenging the notion of “tourism for development.” We examined the socio-ecological features of the region, the evolution of tourism and sustainable tourism, and the implications across various sectors. The research employed an empirical approach grounded in the critical examination of socio-ecological systems for tourism governance and sustainability. The data were obtained through in-depth interviews conducted in Wayanad and a review of the relevant literature. The results reveal that despite the prevalent and persuasive arguments favoring tourism, there are extensive multi-sectoral implications in tourism development that negatively affect both the environment and people at large. These impacts include the erosion of agrobiodiversity-linked traditional Adivasi lifestyles, the displacement of local communities, the encroachment of tourism projects into forests and increased human–animal conflicts, the absence of social security measures for marginalized communities, a decline in traditional livelihood options, and an overreliance on the tourism industry and the private sector. These discernible impacts have pushed the fragile region further into a socio-ecological imbalance. Tourism development in ecologically delicate areas should take into account socio-ecological impacts because a region's culture and nature are key components of its attractiveness as a tourist destination. Large-scale landscape planning should involve the perspectives of various stakeholders, including both direct and indirect participants who could be influenced by tourism. The marginalization of Adivasi communities that maintain the region's ecological integrity is unproductive for both the economic and regional development interests of tourism.
Modeling the dispersion measure—redshift relation for fast radio bursts
Authors: Piratova-Moreno Eduard Fernando , García Luz Ángela
Published: May 2024

This theoretical work investigates different models to predict the redshift of fast radio bursts (FRBs) from their observed dispersion measure (DM) and other reported properties. We performed an extended revision of the FRBs with confirmed galaxy hosts in the literature and built the most updated catalog to date. With this sample of FRBs, we propose four models that relate the DM and z: a linear trend (inspired by the Macquart relation), a log-parabolic function, a power law, and an interpolation for DM that includes z and the position of the host galaxy of the transient. The latter model has the highest success rate according to the metrics implemented: likelihood, median of the z difference, and the Akaike and Bayesian information criteria. Although the performance of model D is closely followed by the power law and linear models, the former has the advantage of accounting for anisotropies in the dispersion measure due to the angular coordinates. Conversely, the log-parabolic formula performs poorly in this task but provides a good prediction for FRBs with low DM at a low redshift. Additionally, we use the reported galaxy properties of the hosts to establish a connection between the observed DM with the star formation rate (SFR) and stellar mass (Ms) of the galaxies where the FRBs reside. In both cases, we find a weak correlation. Although the studied correlations are well-motivated, the sample of FRBs is not statistically significant enough to draw solid conclusions in this second part of our work. With the advent of new facilities devoted to studying the localization and nature of these transients, we will get access to new data that will enrich the proposed models and give us hints on the astrophysical origin and evolution of FRBs.
Evaluation of physical activity before and after respiratory rehabilitation in normal weight individuals with asthma: a feasibility study
Authors: Oliva Federico Mattia , Tarasconi Matteo , Malovini Alberto , Zappa Martina , Visca Dina , Zampogna Elisabetta
Published: May 2024

Background

Individuals with asthma spend less time engaging in physical activity compared to the general population. Increasing physical activity has become a patient-centered goal for the treatment of treatable traits of individuals with asthma. There are data showing the possible effects of a pulmonary rehabilitation program on physical activity in obese individuals with asthma but not in normal-weight asthmatics. The objective of this feasibility study is to estimate the number of daily steps and time spent on activity in normal-weight individuals with asthma, measured before and after a pulmonary rehabilitation program.

Methods

Normal-weight individuals with moderate to severe asthma were evaluated. The individuals measured their daily steps with an accelerometer for 5 days before and after a pulmonary rehabilitation program. The study was registered on ClinicalTrials.gov: NCT05486689.

Results

In total, 17 participants were enrolled; one dropout and data on the time in activity of two individuals are missing due to a software error during the download. Data from 16 patients were analyzed. The median number of steps/day at baseline was 5,578 (25th, 75th percentiles = 4,874, 9,685) while the median activity time was 214 min (25th, 75th percentiles = 165, 239). After the rehabilitation program, the number of daily steps increased by a median value of 472 (p-value = 0.561) and the time in activity reduced by 17 min (p-value = 0.357). We also found a significant difference in quality of life, muscle strength, and exercise capacity.

Conclusions

The results of this study make it possible to calculate the sample size of future studies whose main outcome is daily steps in normal-weight individuals with asthma. The difficulties encountered in downloading time in activity data do not allow the same for this outcome.

Clinical Trial Registration

ClinicalTrials.gov, identifier NCT05486689.
Vertical jump neuromuscular performance of professional female handball players—starters vs. non-starters comparison
Authors: Radovic Katarina , Cabarkapa Dimitrije , Aleksic Jelena , Cabarkapa Damjana V. , Mirkov Dragan M. , Knezevic Olivera M. , Fry Andrew C.
Published: May 2024

Given the complex nature of the handball as a game, players are required to possess a distinct set of physical and physiological attributes to attain peak performance. With the countermovement vertical jump (CVJ) being widely implemented as a non-invasive and time-efficient testing modality in sports settings, the purpose of the present study was twofold: (a) to establish a CVJ profile of professional female handball players and (b) to examine differences in force-time metrics between starters and non-starters. Forty-two professional female handball players (e.g., SuperLeague) volunteered to participate in this study. Each athlete performed three maximum-effort CVJs with no arm swing while standing on a uni-axial force plate system sampling at 1,000 Hz. Independentt-tests were used to examine differences in each variable between starters and non-starters. The results revealed that starters attained superior performance within the eccentric phase of the CVJ when compared to non-starters, particularly in terms of eccentric peak velocity (−0.957 ± 0.242 vs. −0.794 ± 0.177 m·s−1), eccentric mean power (320.0 ± 77.7 vs. 267.1 ± 75.2 W), and eccentric peak power (929.0 ± 388.1 vs. 684.4 ± 214.2 W). While not reaching the level of statistical significance, moderate-to-large effect sizes were observed for concentric impulse, peak velocity, and mean and peak force and power, all in favor of players included in the starting lineup (g = 0.439–0.655). Overall, these findings suggest that at the top-tier level of handball competition, the ability to secure a spot in a starting lineup may be possibly influenced by the athlete's eccentric performance capabilities. Thus, the development of lower-body eccentric strength and power may positively impact on-court athlete performance and ultimately help the team secure the desired game outcome.
Serum lipopolysaccharide associated with new-onset atrial fibrillation in patients with non-small-cell lung cancer a retrospective observational study
Authors: Xu Haifeng , Zhou Jie , Ye Fei , Gao Yongzhuang
Published: May 2024

Lipopolysaccharide (LPS) is related to atrial fibrillation (AF). But so far, the relationship between LPS and new-onset AF (NOAF) in patients with lung cancer is unrevealed. This study was to investigate the association between LPS and NOAF in patients after lung cancer surgery. This was a single-center retrospective clinical observational study. Patients diagnosed with non-small-cell lung cancer (NSCLC) were enrolled. All patients receiving lung cancer surgery and at least 24 h electrocardiogram (ECG) examination was recorded during the hospitalization. The incidence of NOAF in this study was 34/406 (8.4%). The univariate analysis showed that NOAF was associated with age, intraoperative blood transfusion (IBT), chronic obstructive pulmonary disorder (COPD), and LPS. After adjusting risk factors, it was found that age, IBT and LPS (OR, 1.031; 95% CI: 1.001–1.042; P = 0.002) were still risk factors for NOAF. The area under curve (AUC) value was 0.709 for the LPS. When the LPS was added to the conventional model, the Net reclassification index (NRI) and integrated discrimination index (IDI) were improved significantly. Elevated LPS is associated with an increased risk of NOAF in patients after lung cancer surgery. LPS contributed to the discrimination of the NOAF risk model and improved it markedly.
Fast Aerodynamic Prediction of Airfoil with Trailing Edge Flap Based on Multi-Task Deep Learning
Authors: Zhang Chi , Hu Zhiyuan , Shi Yongjie , Xu Guohua
Published: May 2024

Conventional methods for solving Navier–Stokes (NS) equations to analyze flow fields and aerodynamic forces of airfoils with trailing edge flaps (TEFs) are known for their significant time cost. This study presents a Multi-Task Swin Transformer (MT-Swin-T) deep learning framework tailored for swift prediction of velocity fields and aerodynamic coefficients of TEF-equipped airfoils. The proposed model combines a Swin Transformer (Swin-T) for flow field prediction with a multi-layer perceptron (MLP) dedicated to lift coefficient prediction. Both networks undergo gradient updates through the shared encoder component of the Swin Transformer. Such a trained network model for computational fluid dynamics simulations is both effective and robust, significantly improving the efficiency of complex aerodynamic shape design optimization and flow control. The study further investigates the impact of integrating multi-task learning loss functions, skip connections, and the network’s structural design on prediction accuracy. Additionally, the effectiveness of deep learning in improving the aerodynamic simulation efficiency of airfoils with TEF is examined. Results demonstrate that the multi-task deep learning approach provides accurate predictions for TEF airfoil flow fields and lift coefficients. The strategic combination of these tasks during network training, along with the optimal selection of loss functions, significantly enhances prediction accuracy compared with the single-task network. In a specific case study, the MT-Swin-T model demonstrated a prediction time that was 1/7214 of the time necessitated by CFD simulation.
A Study on Disrupted Flight Recovery Based on Logic-Based Benders Decomposition Method
Authors: Peng Yunfang , Hu Xuechun , Xia Beixin
Published: May 2024

Aiming at the disrupted flight recovery problem, this paper established a mixed-integer programming model based on the resource assignment model to minimize the recovery cost. To deal with the large-scale examples, the Logic-Based Benders decomposition algorithm is designed to divide the problem into a master problem and sub-problems. The algorithm uses MIP in the master problem to determine flight cancellations and aircraft replacements. In the sub-problems, MIP or CP is used to determine the departure time of delayed flights. Later, incorporating sectional constraints into the main problem and iterating until an optimal solution is obtained. Furthermore, the added cutting plane constraint in the iterations of the Benders decomposition algorithm are strengthened to eliminate more inferior solutions. By comparing the results of CPLEX, the Logic-Based Benders decomposition algorithm, and the enhanced Benders decomposition algorithm, it is verified that the improved Benders decomposition algorithm can solve large-scale examples more efficiently with a faster time and fewer iterations.
Preliminary Performance Analysis of Medium-Range Liquid Hydrogen-Powered Box-Wing Aircraft
Authors: Palaia Giuseppe , Abu Salem Karim , Carrera Erasmo
Published: May 2024

This paper proposes a performance analysis of a medium-range airliner powered by liquid hydrogen (LH2) propulsion. The focus is on operating performance in terms of achievable payload and range. A non-conventional box-wing architecture was selected to maximize operating performance. An optimization-based multidisciplinary design framework was developed to retrofit a baseline medium-range box-wing aircraft by designing and integrating the fuel tanks needed to store the LH2; several solutions were investigated for tank arrangement and layout by means of sensitivity analyses. As a main outcome, a performance analysis of the proposed LH2-powered box-wing aircraft is provided, highlighting the impact of the introduction of this energy carrier (and the integration of the related tank systems) on aircraft operating performance; a comparative study with respect to a competitor LH2-retrofitted tube-and-wing aircraft is also provided, to highlight the main possible operating differences between the two architectures. The findings reveal that the retrofitted box-wing can achieve long-range flights at the cost of a substantially reduced payload, mainly due to the volume limitations imposed by the installation of LH2 tanks, or it can preserve payload capacity at the expense of a significant reduction in range, as the trade-off implies a reduction in on-board LH2 mass. Specifically, the studied box-wing configuration can achieve a range of 7100 km transporting 150 passengers, or shorter ranges of 2300 km transporting 230 passengers. The competitor LH2-retrofitted tube-and-wing aircraft, operating in the same category and compatible with the same airport apron constraints, could achieve a distance of 1500 km transporting 110 passengers.
Wdr17 Regulates Cell Proliferation, Cell Cycle Progression and Apoptosis in Mouse Spermatocyte Cell Line
Authors: Zhao Xin , Jin Taili , Ji Xi , Zhang Qiuyan , Zhang Xianyu , Wu Zhenfang , Li Zicong , Yang Huaqiang
Published: May 2024

We identified Wdr17 as a highly expressed gene in pachytene spermatocytes by transcriptomic analysis of mouse testis. Germ cell-deficient infertile mouse models had significantly reduced Wdr17 expression. We performed gene interference and overexpression in the mouse spermatocyte cell line GC-2spd(ts) and investigated how Wdr17 affects spermatocyte growth and development. Our results showed that Wdr17 suppression significantly decreased cell growth rate and increased cell apoptosis in GC-2spd(ts) cells. Wdr17 suppression also arrested the cell cycle at the G1 phase. On the contrary, Wdr17 overexpression significantly promoted cell proliferation and inhibited cell apoptosis in GC-2spd(ts) cells. More cells were enriched at the S stage with a concomitant reduction of cells at the G1 stage. Wdr17 promotes mouse spermatocyte proliferation by advancing cell cycle progression and inhibiting cell apoptosis, indicating its potential role in regulating spermatogenesis in the mouse.
Enhancing Bioactive Compound Classification through the Synergy of Fourier-Transform Infrared Spectroscopy and Advanced Machine Learning Methods
Authors: Sampaio Pedro N. , Calado Cecília C. R.
Published: May 2024

Bacterial infections and resistance to antibiotic drugs represent the highest challenges to public health. The search for new and promising compounds with anti-bacterial activity is a very urgent matter. To promote the development of platforms enabling the discovery of compounds with anti-bacterial activity, Fourier-Transform Mid-Infrared (FT-MIR) spectroscopy coupled with machine learning algorithms was used to predict the impact of compounds extracted from Cynara cardunculus against Escherichia coli. According to the plant tissues (seeds, dry and fresh leaves, and flowers) and the solvents used (ethanol, methanol, acetone, ethyl acetate, and water), compounds with different compositions concerning the phenol content and antioxidant and antimicrobial activities were obtained. A principal component analysis of the spectra allowed us to discriminate compounds that inhibited E. coli growth according to the conventional assay. The supervised classification models enabled the prediction of the compounds’ impact on E. coli growth, showing the following values for accuracy: 94% for partial least squares-discriminant analysis; 89% for support vector machine; 72% for k-nearest neighbors; and 100% for a backpropagation network. According to the results, the integration of FT-MIR spectroscopy with machine learning presents a high potential to promote the discovery of new compounds with antibacterial activity, thereby streamlining the drug exploratory process.
MMG-Based Knee Dynamic Extension Force Estimation Using Cross-Talk and IGWO-LSTM
Authors: Li Zebin , Gao Lifu , Zhang Gang , Lu Wei , Wang Daqing , Zhang Jinzhong , Cao Huibin
Published: May 2024

Mechanomyography (MMG) is an important muscle physiological activity signal that can reflect the amount of motor units recruited as well as the contraction frequency. As a result, MMG can be utilized to estimate the force produced by skeletal muscle. However, cross-talk and time-series correlation severely affect MMG signal recognition in the real world. These restrict the accuracy of dynamic muscle force estimation and their interaction ability in wearable devices. To address these issues, a hypothesis that the accuracy of knee dynamic extension force estimation can be improved by using MMG signals from a single muscle with less cross-talk is first proposed. The hypothesis is then confirmed using the estimation results from different muscle signal feature combinations. Finally, a novel model (improved grey wolf optimizer optimized long short-term memory networks, i.e., IGWO-LSTM) is proposed for further improving the performance of knee dynamic extension force estimation. The experimental results demonstrate that MMG signals from a single muscle with less cross-talk have a superior ability to estimate dynamic knee extension force. In addition, the proposed IGWO-LSTM provides the best performance metrics in comparison to other state-of-the-art models. Our research is expected to not only improve the understanding of the mechanisms of quadriceps contraction but also enhance the flexibility and interaction capabilities of future rehabilitation and assistive devices.
First Report of the Prevalence at Baseline and after 1-Year Follow-Up of Treatable Traits in Interstitial Lung Diseases
Authors: Amati Francesco , Stainer Anna , Maruca Giacomo , De Santis Maria , Mangiameli Giuseppe , Torrisi Chiara , Bossi Paola , Polelli Veronica , Blasi Francesco , Selmi Carlo , Marulli Giuseppe , Balzarini Luca , Terracciano Luigi Maria , Gatti Roberto , Aliberti Stefano
Published: May 2024

Different factors, not limited to the lung, influence the progression of ILDs. A “treatable trait” strategy was recently proposed for ILD patients as a precision model of care to improve outcomes. However, no data have been published so far on the prevalence of TTs in ILD. A prospective, observational, cohort study was conducted within the ILD Program at the IRCCS Humanitas Research Hospital (Milan, Italy) between November 2021 and November 2023. TTs were selected according to recent literature and assigned during multidisciplinary discussion (MDD) to one of the following categories: pulmonary, etiological, comorbidities, and lifestyle. Patients were further divided into four groups according to their post-MDD diagnosis: idiopathic ILD, sarcoidosis, connective tissue disease–ILD, and other ILD. The primary study outcome was the prevalence of each TT in the study population. A total of 116 patients with ILD [63.9% male; median (IQR) age: 69 (54–78) years] were included in the study. All the TTs identified in the literature were found in our cohort, except for intractable chronic cough. We also recognized differences in TTs across the ILD groups, with less TTs in patients with sarcoidosis. This analysis provides the first ancillary characterization of TTs in ILD patients in a real setting to date.
Machine Learning Model for Mild Cognitive Impairment Stage Based on Gait and MRI Images
Authors: Park Ingyu , Lee Sang-Kyu , Choi Hui-Chul , Ahn Moo-Eob , Ryu Ohk-Hyun , Jang Daehun , Lee Unjoo , Kim Yeo Jin
Published: May 2024

In patients with mild cognitive impairment (MCI), a lower level of cognitive function is associated with a higher likelihood of progression to dementia. In addition, gait disturbances and structural changes on brain MRI scans reflect cognitive levels. Therefore, we aimed to classify MCI based on cognitive level using gait parameters and brain MRI data. Eighty patients diagnosed with MCI from three dementia centres in Gangwon-do, Korea, were recruited for this study. We defined MCI as a Clinical Dementia Rating global score of ≥0.5, with a memory domain score of ≥0.5. Patients were classified as early-stage or late-stage MCI based on their mini-mental status examination (MMSE) z-scores. We trained a machine learning model using gait and MRI data parameters. The convolutional neural network (CNN) resulted in the best classifier performance in separating late-stage MCI from early-stage MCI; its performance was maximised when feature patterns that included multimodal features (GAIT + white matter dataset) were used. The single support time was the strongest predictor. Machine learning that incorporated gait and white matter parameters achieved the highest accuracy in distinguishing between late-stage MCI and early-stage MCI.
Schlafens: Emerging Therapeutic Targets
Authors: Perez Ricardo E. , Eckerdt Frank , Platanias Leonidas C.
Published: May 2024

The interferon (IFN) family of immunomodulatory cytokines has been a focus of cancer research for over 50 years with direct and indirect implications in cancer therapy due to their properties to inhibit malignant cell proliferation and modulate immune responses. Among the transcriptional targets of the IFNs is a family of genes referred to as Schlafens. The products of these genes, Schlafen proteins, exert important roles in modulating cellular proliferation, differentiation, immune responses, viral replication, and chemosensitivity of malignant cells. Studies have demonstrated that abnormal expression of various Schlafens contributes to the pathophysiology of various cancers. Schlafens are now emerging as promising biomarkers and potentially attractive targets for drug development in cancer research. Here, we highlight research suggesting the use of Schlafens as cancer biomarkers and the rationale for the development of specific drugs targeting Schlafen proteins.