bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation Strategies and Ergonomic Factors in Robot-assisted Microsurgery
Authors: Struebing F. , Gazyakan E. , Bigdeli A. K. , Vollbach F. H. , Weigel J. , Kneser U. , Boecker A. 
Published: January 2025

AbstractRobot-assisted surgery represents a significant innovation in reconstructive microsurgery, providing enhanced precision and reduced surgeon fatigue. This study examines the integration of robotic assistance in a series of 85 consecutive robot-assisted microsurgical (RAMS) operations. It aims to evaluate changes in the integration of RAMS during the implementation phase in a single institution. The study utilized a prospective database encompassing all robot-assisted microsurgical cases using the Symani surgical system from February until December 2023. A total of 85 robot-assisted operations were analyzed, showing a broad application across various types of reconstructive needs, predominantly in lower extremity repairs (n = 41). There were 68 free flap reconstructions (80.0%), ten nerve transfers (11.8%), four targeted muscle reinnervations (TMR; 4.7%), two lymphovenous anastomoses (2.4%) and one arterial reconstruction. The adoption of both traditional and digital exoscopic magnification systems was optimized for each surgical context. The operating room setup and infrastructural challenges for the different anatomic regions are presented. The introduction of robot-assisted surgery entailed overcoming challenges such as adapting to the lack of haptic feedback and navigating ergonomic constraints. Despite these hurdles, including higher operational costs and increased surgery durations, the precision and ergonomic benefits offered by robotic systems may be substantial. Potential solutions and tips to improve the operating times include frequent cleaning of the instruments, active surgical assistance, and rigorous presurgical planning of the logistical setup in the operating room. We showed that there is a preference for the utilization of digital exoscopes over conventional microscopes in RAMS, despite requiring more time per stitch when using the exoscope.
Flow-Based Coronary Artery Bypass Graft Patency Metrics: Uncertainty Quantification Simulations to Guide Development
Authors: Drost Sita , Drost Cornelis J. 
Published: January 2025

Abstract
Purpose
Over time, transit time flow measurement (TTFM) has proven itself as a simple and effective tool for intra-operative evaluation of coronary artery bypass grafts (CABGs). However, metrics used to screen for possible technical error show considerable spread, preventing the definition of sharp cut-off values to distinguish between patent, questionable, and failed grafts. The simulation study presented in this paper aims to quantify this uncertainty for commonly used patency metrics, and to identify the most important physiological parameters influencing it.

Methods
Uncertainty quantification was performed on a realistic multiscale numerical model of the coronary circulation, guided by Morris screening sensitivity analysis of a simpler, lumped-parameter model. Simulation results were qualitatively verified against results of a recent clinical study.

Results
Correspondence with clinical study data is reasonable, especially considering that the model was not fitted in any way. Stenosis severity was confirmed to be an influential parameter. However, also cardiac period and graft diameter were observed to be important, particularly for mean flow rate and pulsatility index.

Conclusion
Metrics quantifying the flow waveform’s diastolic dominance show the highest sensitivity to graft stenosis, and seem to be least affected by autoregulation. Among these, the novel diastolic resistance index shows the strongest sensitivity to stenosis severity.

Significance
The approach used in this study is expected to benefit the development of improved patency metrics, by allowing medical engineers to include sensitivity and uncertainty in assessing, in-silico, the potential of novel metrics, thus enabling them to provide better guidance in the design of clinical studies.
High Performance Circularly Polarized Quad-Elements for 5G Wireless Communications
Authors: Nawar Rehab I. , Abdelhady Abdelhady M. , Hassan Ashraf Y. 
Published: January 2025

AbstractThis article presents a broadband circularly polarized four-port multiple-input–multiple-output (MIMO) antenna with high isolation is presented in this article. The proposed MIMO antenna consists of four octal-shaped monopole antennas with common ground is realized and fabricated on FR-4 (εr = 4.3) substrate with a thickness of 1.6 mm and a size of 140 mm × 140 mm. Measurement results of the presented MIMO antenna show features of a wide impedance bandwidth (IBW) of 139.39% (2–11.2 GHz) and a 3-dB axial ratio bandwidth (ARBW) of 91.95% (2.25–6.4 GHz) with simple and economical fabrication. Additionally, the investigated MIMO antenna has high isolation (S21 < -21.8 dB) and a peak gain of 7.88 dBi within the ultra-wideband (UWB) spectrum. It is a promising candidate for UWB MIMO communication systems and 5G wireless communications.
Humanitarianism and the Sendai Framework: A 10-Year Review of Converging and Diverging Paths
Authors: Mena Rodrigo 
Published: January 2025

AbstractHumanitarian action and disaster risk reduction are essential in addressing global vulnerability to disasters and crises. The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR), adopted in 2015, has garnered significant attention for its role in fostering disaster risk reduction. The role the SFDRR plays vis-à-vis humanitarian action represents a crucial space where policies, practices, and priorities (could) converge and diverge. Understanding the dynamics of this SFDRR-humanitarian action relationship is essential for advancing both disaster risk reduction and humanitarian goals. This article comprehensively examines this relationship since the adoption of the SFDRR. Employing a multimethod approach, including a systematic literature review, mapping exercise, and expert interviews, the study identified key themes and challenges in integrating the SFDRR within humanitarian action. Findings indicate that while SFDRR references are prevalent in post-disaster discussions, their full integration into humanitarian strategies remains nascent. Notably, advancements in anticipatory humanitarian action represent primary arenas for SFDRR integration within humanitarianism. The role of the International Disaster Response Law in bridging SFDRR and humanitarianism also emerged as an important finding. The study also underscored blurred distinctions between humanitarianism and disaster-related actions, highlighting the limited systemic integration of the SFDRR by traditional humanitarian actors. Moving forward, the study advocates for improved collaboration between humanitarian and disaster management sectors to strengthen disaster prevention, response, and mitigation. By examining the relationship between SFDRR objectives and modern humanitarian practices, this research aims to enhance disaster preparedness, response, and recovery strategies, alongside other crisis management approaches.
Sex Differences in the Incidence of Sudden Cardiac Arrest/Death in Competitive Athletes: A Systematic Review and Meta-analysis
Authors: Li Lingxia , Le Douairon Lahaye Solène , Ding Shuzhe , Schnell Frédéric 
Published: January 2025

Abstract
Background
Although many studies have demonstrated a lower incidence of sudden cardiac arrest or death (SCA/D) in female athletes than in male, there is limited understanding of the specific underlying causes.

Objective
This systematic review aimed to assess the disparities in SCA/D incidence between male and female competitive athletes and explore the associated etiologies.

Methods
A comprehensive search was conducted for retrospective and prospective studies examining SCA/D incidence in male and female athletes. Incidence and incidence rate ratios (IRRs) according to sex were evaluated.

Results
Among the 16 studies analyzed, 1797 cases of SCA/D were observed; 1578 occurred in males (87.81%). Ages ranged from adolescent to adult. The incidence was 1.42/100,000 athlete-years (AY) in males (95% CI 0.97–2.09), and 0.32/100,000 AY in females (95% CI 0.17–0.59), resulting in an IRR of 5.55. When considering athletes aged ≤ 35 years, the incidence was 1.46/100,000 AY in males (95% CI 0.91–2.34) and 0.30/100,000 AY in females (95% CI 0.14–0.66), with an IRR of 5.47. The IRR was 5.13 (95% CI 3.94–6.67) for the most recent studies with athletes enrolled only after the year 2000, versus 6.02 (95% CI 4.59–7.90) for the remaining studies covering all observed years. Hypertrophic cardiomyopathy (HCM) was the predominant cause among males (45.12%), while congenital coronary anomalies were more prevalent in females (33.04%).

Conclusion
The incidence of SCA/D in females was approximately 6 times lower than in males, with sex differences also in the leading causes of SCA/D. Understanding these discrepancies could lead to targeted strategies for the prevention of SCD in athletes.

Registration number
(PROSPERO 2023 CRD42023432022)/05.07.2023.
Prediction models for sarcopenia risk in dialysis patients: a systematic review and critical appraisal
Authors: Hou Zhuoer , Li Xiaoyan , Yang Lili , Liu Ting , Lv Hangpeng , Sun Qiuhua 
Published: January 2025

Abstract
Background
Many studies have developed or validated predictive models to estimate the risk of sarcopenia in dialysis patients, but the quality of model development and the applicability of the models remain unclear.

Objective
To systematically review and critically evaluate currently available predictive models for sarcopenia in dialysis patients.

Methods
We systematically searched five databases until March 2024. Observational studies that developed or validated predictive models or scoring systems for sarcopenia in dialysis patients were considered eligible. We included studies of adults (≥ 18 years of age) on dialysis and excluded studies that did not validate the predictive model. Data extraction was performed independently by two authors using a standardized data extraction table based on a checklist of key assessments and data extraction for systematic evaluation of predictive modeling research. The quality of the model was assessed using the Predictive Model Risk of Bias Assessment Tool.

Results
Of the 104,454 studies screened, 13 studies described 13 predictive models. The incidence of sarcopenia in dialysis patients ranged from 6.6 to 34.4%. The most commonly used predictors were age and body mass index. In the derivation set, the reported area under the curve or C-statistic is between 0.81 and 0.95. The area under the curve reported by the external validation set is between 0.78 and 0.93. All studies had a high risk of bias, mainly due to poor reporting in the outcome and the analysis domains, and three studies had a high risk of bias in terms of applicability.

Conclusion
Future research should focus on validating and improving existing predictive models or developing new models using rigorous methods.
Intergenerational cooperation and co-creation in public space design assisted by Virtual Reality (VR) environments
Authors: Ng Provides , Zhu Shutong , Li Yuechun , van Ameijde Jeroen 
Published: January 2025

AbstractThe world's ageing population presents both challenges and new opportunities for urban design, particularly in high-density cities like Hong Kong. This study investigates intergenerational cooperation in the co-design of urban public spaces, assisted by Virtual Reality (VR) environments. Through a series of workshops inviting youth, university students, middle-aged adults, and older residents to work in small teams, we documented their interactive behaviours and observed how the involvement of different age groups may influence the cooperative process and design outcomes, especially when VR tools were involved. Our findings shed light on several key aspects. First, how work engagement levels differ based on highly-, moderately-, and non- intergenerational groups. Second, observable patterns of common task-role distribution between age groups within a self-organised collaborative process. Thirdly, the various types of social participation, from cooperative, associative to solitary, emerged as a consequence of such interactions. Finally, from the co-created public space designs, any transformational and transactional values that arise were discussed. The study contributes to ways in facilitating more age-friendly approaches in urban design, especially in face of digital transition, and highlights the importance of intergenerational cooperation in design processes so as to create more inclusive environments.
Optimization of dust suppressant preparation using agricultural and forestry waste straw through response surface methodology
Authors: Zhang Huan , Xu Yong , Chen Lei , He Wenting , Wang Xi , Fan Yujie , Zhao Fuchao , Cheng Yilang , Zhang Yingda 
Published: January 2025

AbstractIn order to control urban dust pollution and to improve the utilization of agricultural and forestry straw solid waste, this paper prepared an environmentally friendly dust suppressant with plant straw using nine different types of waste straw as raw materials with environmentally friendly additives. By the single factor experiment, the composition of each component reagent and the effect of mass concentration on its properties under single factor were determined. Multi-factor interaction tests were designed by response surface method. Three independent variables including wheat straw based superabsorbent polymers (SAP), hydroxyethyl cellulose (HEC10S) and octyl glucopyranoside (APG0810) were selected. Viscosity (Y1), anti-evaporation rate (Y2) and surface tension (Y3) were determined as response values. Meanwhile, the functional relationship between the fitting factors and the response values is established by regression analysis. The results showed that the predicted values are in good agreement with the experimental values. The plant straw-based dust suppressant with 1.93% SAP, 0.10% HEC10S and 0.80% APG0810 exhibited good bonding performance, wettability and anti-evaporation rate.
Advancing workforce development and scientific collaboration: A novel resource for biostatistical education
Authors: Slade Emily , Jurkovitz Claudine T. , Messinger Shari , Oster Robert A. , Pomann Gina-Maria , Taylor Sandra L. , Brearley Ann M. 
Published: January 2025

Abstract
A clinical and translational scientist (CTS) often seeks to increase their knowledge of statistical topics to effectively conduct biomedical research studies. A common method for obtaining this knowledge is through existing online educational materials that are suggested by a biostatistical collaborator or identified by the CTS. However, the volume of available educational materials on diverse statistical topics makes the task of identifying high-quality educational resources at an appropriate level challenging and time consuming for CTSs and collaborative biostatisticians. In response to these challenges, the Biostats4You website was created, where existing online educational materials for a variety of statistical topics are vetted to identify those most appropriate for CTSs. In this manuscript, we describe the resource review process, provide information about statistical topics and resources currently available, and make recommendations for how CTSs and collaborative biostatisticians can utilize the Biostats4You website to improve training, mentoring, and collaborative research practices.
Impact of Hurricanes and Floodings on Mental Health Outcomes Within the United States: A Systematic Review and Meta-Analysis
Authors: Miller Vanessa E. , Fitch Kate Vinita , Swilley-Martinez Monica E. , Agha Erum , Alam Ishrat Z. , Kavee Andrew L. , Cooper Toska , Gaynes Bradley N. , Carey Timothy S. , Goldston David B. , Ranapurwala Shabbar I. , Pence Brian W. 
Published: January 2025

Abstract

Objective
Given the US population concentration near coastal areas and increased flooding due to climate change, public health professionals must recognize the psychological burden resulting from exposure to natural hazards.

Methods
We performed a systematic search of databases to identify articles with a clearly defined comparison group consisting of either pre-exposure measurements in a disaster-exposed population or disaster-unexposed controls, and assessment of mental health, including but not limited to, depression, post-traumatic stress (PTS), and anxiety.

Results
Twenty-five studies, with a combined total of n =616 657 people were included in a systematic review, and 11 studies with a total of 2012 people were included in a meta-analysis of 3 mental health outcomes. Meta-analytic findings included a positive association between disaster exposure and PTS (n = 5, g = 0.44, 95% CI 0.04, 0.85), as well as depression (n = 9, g = 0.28, 95% CI 0.04, 0.53), and no meaningful effect size in studies assessing anxiety (n = 6, g = 0.05 95% CI −0.30, 0.19).

Conclusions
Hurricanes and flooding were consistently associated with increased depression and PTS in studies with comparison groups representing individuals unaffected by hazards.
Spatial analysis of tails of air pollution PDFs in Europe
Authors: He Hankun , Schäfer Benjamin , Beck Christian 
Published: January 2025

Abstract
Outdoor air pollution is estimated to cause a huge number of premature deaths worldwide. It catalyzes many diseases on a variety of time scales, and it has a detrimental effect on the environment. In light of these impacts, it is necessary to obtain a better understanding of the dynamics and statistics of measured air pollution concentrations, including temporal fluctuations of observed concentrations and spatial heterogeneities. Here, we present an extensive analysis for measured data from Europe. The observed probability density functions (PDFs) of air pollution concentrations depend very much on the spatial location and the pollutant substance. We analyze a large number of time series data from 3544 different European monitoring sites and show that the PDFs of nitric oxide (

$ NO $

), nitrogen dioxide (

$ {NO}_2 $

), and particulate matter (

$ {PM}_{10} $

and

$ {PM}_{2.5} $

) concentrations generically exhibit heavy tails. These are asymptotically well approximated by

$ q $

-exponential distributions with a given entropic index

$ q $

and width parameter

$ \lambda $

. We observe that the power-law parameter

$ q $

and the width parameter

$ \lambda $

vary widely for the different spatial locations. We present the results of our data analysis in the form of a map that shows which parameters

$ q $

and

$ \lambda $

are most relevant in a given region. A variety of interesting spatial patterns is observed that correlate to the properties of the geographical region. We also present results on typical time scales associated with the dynamical behavior.
Localization in the random XXZ quantum spin chain
Authors: Elgart Alexander , Klein Abel 
Published: January 2025

Abstract
We study the many-body localization (MBL) properties of the Heisenberg XXZ spin-

$\frac 12$

chain in a random magnetic field. We prove that the system exhibits localization in any given energy interval at the bottom of the spectrum in a nontrivial region of the parameter space. This region, which includes weak interaction and strong disorder regimes, is independent of the size of the system and depends only on the energy interval. Our approach is based on the reformulation of the localization problem as an expression of quasi-locality for functions of the random many-body XXZ Hamiltonian. This allows us to extend the fractional moment method for proving localization, previously derived in a single-particle localization context, to the many-body setting.
Differences in severity of depression symptoms in overweight, obese and normal weight Palestinian children and adolescents
Authors: Agbaria Hadeel , Mahamid Fayez , Bdier Dana 
Published: January 2025

Abstract
Obesity is related to a wide variety of medical and psychological comorbidities which has short- and long-term effects on children’s mental health. One of the most significant ones is depression. Thus, the current study utilized a descriptive methodology to explore the differences in depressive symptoms among overweight, obese, and normal-weight Palestinian children and adolescents. Data was collected from 270 Palestinian children and adolescents, aged (9–16) years: 85 with normal weight, 95 with over-weight and 90 obese. Findings showed that participants who are over-weight or obese exhibited more depressive symptoms than those with a normal weight. These findings showed that Palestinian children and adolescents who are over-weight or obese do experience depression and thus interventions should take this into account. In particular, it seems that over-weight boys or adolescents need more direct help in losing weight while obese children and adolescents who feel more helpless about their weight need serious psychological interventions. it is critical to offer psychological treatment as part of any weight loss intervention program for children and adolescents. Especially as these adolescents’ families might encourage them to avoid seeking professional help and deal with the problem in the family.
No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence
Authors: Kohrt Brandon A. , Wahid Syed Shabab , Ottman Katherine , Burgess Abigail , Viduani Anna , Martini Thais , Benetti Silvia , Momodu Olufisayo , Bohara Jyoti , Neupane Vibha , Gautam Kamal , Adewuya Abiodun , Mondelli Valeria , Kieling Christian , Fisher Helen L. 
Published: January 2025

Abstract
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents’ and other stakeholders’ attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools.