bluuebunny/crossref_metadata_2025_split huggingface dataset:
Return to Play and Performance After Anterior Cruciate Ligament Reconstruction in Soccer Players: A Systematic Review of Recent Evidence
Authors: Manojlovic Marko , Ninkovic Srdjan , Matic Radenko , Versic Sime , Modric Toni , Sekulic Damir , Drid Patrik 
Published: May 2024

Abstract
Background
The available literature referring to the return to play (RTP) and performance after anterior cruciate ligament reconstruction (ACLR) has already been comprehensively summarized in team sports such as basketball or American Football. Therefore, in this sense, it is necessary to synthesize evidence relating to the mentioned parameters in soccer players who underwent ACLR.

Objective
The aim of this systematic review was to examine RTP and the performance of soccer players after ACLR.

Methods
Three electronic databases, Web of Science, Scopus, and PubMed, have been comprehensively searched to identify relevant articles. The following inclusion criteria were applied: (1) the sample of respondents consisted of soccer players irrespective of their age, sex, or level of competition; (2) athletes experienced anterior cruciate ligament injury and underwent ACLR; (3) outcomes estimated referred to the RTP, RTP at the preinjury level of competition, RTP time, performance, and career duration of soccer players; (4) studies were written in the English language. The methodological quality of the research was evaluated using the Methodological Index for Non-Randomized Studies (MINORS).

Results
Databases searched yielded a total of 694 studies, of which 17 fulfilled the eligibility criteria and were included in the final analysis. These included 3657 soccer players, 2845 males and 812 females, who underwent ACLR and most commonly competed at the elite, national, amateur, and recreational levels. The results obtained indicated that 72% of soccer players successfully RTP and 53% RTP at the preinjury level of participation after ACLR. In addition, recent evidence provided in this literature review demonstrated that mean RTP time was 264 days or 8.7 months. Moreover, the majority of the studies unambiguously suggested that performance related to statistical aspects noticeably deteriorated compared with both the preinjury period and noninjured athletes. The mean career length of soccer players following ACL surgery was approximately between 4 and 5 years.

Conclusion
Although a high percentage of athletes RTP after a relatively short period of absence from the sports field compared with other sports closely related to soccer, ACLR negatively impacts soccer players’ performance and career duration.
Physical Fitness Surveillance and Monitoring Systems Inventory for Children and Adolescents: A Scoping Review with a Global Perspective
Authors: Brazo-Sayavera Javier , Silva Danilo R. , Lang Justin J. , Tomkinson Grant R. , Agostinis-Sobrinho Cesar , Andersen Lars Bo , García-Hermoso Antonio , Gaya Anelise R. , Jurak Gregor , Lee Eun-Young , Liu Yang , Lubans David R. , Okely Anthony D. , Ortega Francisco B. , Ruiz Jonatan R. , Tremblay Mark S. , Dos Santos Leandro 
Published: May 2024

AbstractSurveillance of health-related physical fitness can improve decision-making and intervention strategies promoting health for children and adolescents. However, no study has comprehensively analyzed surveillance/monitoring systems for physical fitness globally. This review sought to address this gap by identifying: (1) national-level surveillance/monitoring systems for physical fitness among children and adolescents globally, (2) the main barriers and challenges to implementing surveillance/monitoring systems, and (3) governmental actions related to existing surveillance/monitoring systems. We used a scoping review to search, obtain, group, summarize, and analyze available evidence. Our review involved three stages: (1) identification of surveillance systems through a systematic literature review, with complementary search of the grey literature (e.g., reference lists, Google Scholar, webpages, recommendations), (2) systematic consultation with relevant experts using a Delphi method to confirm/add systems and to gather and analyze information on the barriers and challenges to implementing systems, and (3) Web searches for public documents on government sites and surveillance/monitoring system pages, and direct internet searches to identify relevant governmental actions related to surveillance systems. A total of 15 fitness surveillance/monitoring systems met our inclusion criteria. Experts identified a lack of government support and funding, and the low priority of fitness on the public health agenda as the main barriers/challenges to implementation. Several governmental actions related to surveillance systems were identified, including policies, strategies, programs, and guidelines. We propose a Global Observatory of Physical Fitness to help address these issues.
Obesity, body fat distribution and eye diseases
Authors: Bosello Francesca , Vanzo Angiola , Zaffalon Chiara , Polinelli Luca , Saggin Filippo , Bonacci Erika , Pedrotti Emilio , Marchini Giorgio , Bosello Ottavio 
Published: May 2024

Abstract
Background
The prevalence of obesity, a chronic disease, is increasing, and obesity is now considered a global epidemic. Eye diseases are also increasing worldwide and have serious repercussions on quality of life as well as increasingly high costs for the community. The relationships between obesity and ocular pathologies are not yet well clarified and are not pathologically homogeneous: they seem to be somehow linked to excess body fat, especially to the distribution of adipose tissue and its ectopic deposits.

Purpose
Our objective was to examine the associations between obesity and anthropometric indices, including body mass index (BMI), waist circumference (WC), and the waist/hip ratio (WHR), and the risk of most widespread eye diseases, with particular attention given to the most significant metabolic mechanisms.

Methods
This article provides a narrative overview of the effect of obesity and anthropometric measurements of body fat on prevalent eye diseases. We used the MEDLINE/PubMed, CINAHL, EMBASE, and Cochrane Library databases from 1984 to 2024. In addition, we hand-searched references from the retrieved articles and explored a number of related websites. A total of 153 publications were considered.

Results
There is significant evidence that obesity is associated with several eye diseases. Waist circumference (WC) and the waist/hip ratio (WHR) have been observed to have stronger positive associations with eye diseases than BMI.

Conclusions
Obesity must be considered a significant risk factor for eye diseases; hence, a multidisciplinary and multidimensional approach to treating obesity, which also affects ocular health, is important. In the prevention and treatment of eye diseases related to obesity, lifestyle factors, especially diet and physical activity, as well as weight changes, both weight loss and weight gain, should not be overlooked.

Level of evidence
Level V narrative review.
Selection of Words in Ontogeny
Authors: Simon Carsta 
Published: May 2024

Abstract
This article suggests a framework for integrating a conceptual and an empirical approach to understanding human speech. Verbal activities may be understood as a result of conjoint phylogenetic and ontogenetic selection processes. The present article situates an experimental procedure investigating verbal activities as a function of ontogenetic events in the larger context of Darwinian selection. In this experimental procedure, the experimenter uttered “hmm” and “yes” contingently and contiguously on a participant’s mentioning of predefined words. To test if the experimenter’s verbal activity modified the participant’s rate of those words, 63 Norwegian participants reported individually on video recordings. Resembling the results of previous studies, cumulative relative frequency distributions of target word rates showed that three of four target words occurred at a higher rate when the experimenter uttered “hmm” and “yes” during a participant’s report than when she was silent. Methodological challenges of investigating the selection of verbal activities by their contingencies with Phylogenetically Important Events are discussed.
Prediction of the penetration depth of particle-loaded inks in binder jetting
Authors: Lehmann Maja , Kolb Cara G. , Mai Thao Phuong , Zaeh Michael F. 
Published: May 2024

AbstractParticle-loaded inks in binder jetting have proven to increase the packing density of the powder bed, to improve the sintering properties, and to selectively change the material composition in the part. However, particles also change the rheological properties and thus the penetration behavior of the ink in the powder bed. The penetration behavior influences the reliability of the binder jetting process. To ensure adequate accuracy and sufficient strength of the green part, an effective connection between the layers is crucial. Insufficient penetration leads to a weak bonding of the layers, while excessive penetration reduces the geometrical accuracy. The prediction of the penetration behavior can be beneficial to set the process parameters for new material systems and to control the distribution of particles in the green part. This study presents a modeling approach for the determination of the penetration depth of particle-loaded inks in the binder jetting process on the basis of the sessile drop method. An additional process model was established that allowed the integration of the process parameters of the binder jetting procedure. The validation was performed by measuring the penetration depth of three inks with particle loads of 1 m%, 5 m%, and 10 m% into a spherical aluminum oxide powder. The comparison of the experimentally determined with the predicted penetration depths showed a good agreement for low particle loads. With higher particle loads, the deviations from the experimental data increased due to an accumulation of the particles on the top of the particle-loaded layer.
Nur wahrscheinlich oder schon plausibel?
Authors: Viehhauser Gabriel 
Published: May 2024

ZusammenfassungAufgrund der Vagheit und Mehrdeutigkeit von Sprache lassen sich Bedeutungsbildungsprozesse nur schwer formalisieren: Die Zuschreibung von Bedeutung vollzieht sich nicht nur unter Berücksichtigung der Textoberfläche, sondern auch unter der Heranziehung von unterschiedlichsten Ko- und Kontexten, die in ihrer Vielfalt schwer vorhersagbar und zu systematisieren sind. Quantitative Methoden zur Textanalyse eignen sich daher eher zur Exploration als zur Validierung und müssen in den meisten Fällen durch qualitative und interpretative Methoden ergänzt werden. Dennoch bleiben sie nicht bloßes Hilfsmittel, sondern können entscheidend zum hermeneutischen Prozess beitragen und diesen prägen. Anhand eines Beispiels aus der mittelalterlichen deutschen Literatur, der lyrischen Untergattung des Tagelieds, soll gezeigt werden, wie Verfahren der Wahrscheinlichkeitsberechnung und der diagrammatischen Visualisierung, die etwa beim Topic Modelling zum Einsatz gebracht werden können, überraschend gut geeignet sind, beispielsweise Mehrdeutigkeiten in der Gattungszuweisung von Texten sichtbar zu machen und typologische Zugänge zu Gattungsfragen abzubilden. Gerade die explorative Methode liefert damit einen Beitrag zur hermeneutischen Gegenstandskonstitution.
The contradictions of unconventional monetary policy as a post-2008 thwarting mechanism: financial dominance, shadow banking, and inequality
Authors: Schairer Simon 
Published: May 2024

AbstractThe global financial crisis (GFC) of 2008 has triggered profound changes in the macro-financial regulatory architecture. Ever since, the interplay between political, institutional, and macroeconomic developments has received increasing attention in political economy, as in the evolutionary macro-financial approach of institutional super-cycles with its concept of thwarting mechanisms. While these institutional structures aim to stabilise the macro-financial system, they may also contradict each other due to unintended side effects. This paper argues that the understanding of thwarting mechanisms can be enriched by further integrating it with political economy literature on finance within the post-GFC institutional setup. It conceptualises unconventional monetary policy as a novel thwarting mechanism and analyses the contradictory implications for overall macro-financial stability with a particular focus on aggregate demand. It suggests three reasons why this thwarting mechanism failed to restore sustained economic growth in the post-crisis decade: First, sustained large-scale asset purchases perpetuate the structural drivers of financial dominance in political power relations, entrenching the role of the shadow banking system within the macro-financial order and impairing the development of other thwarting mechanisms. Second, unconventional monetary policy maintains the tenets of the inflation targeting regime and thereby sustains neoliberal macroeconomic governance with restrained fiscal policy. Third, it exacerbates preexisting wealth and income inequality by redistributing wealth towards asset owners, undermines consumer demand, and thus contributes to stagnation tendencies. Thus, this paper suggests that the contradictions of this novel post-GFC thwarting mechanism contribute to weaken economic growth and thus fail to restore macro-financial stability.
Impact of senior management’s financial intelligence on the financial performance of banks and insurance companies in the Gaza Strip
Authors: Safi Samir K. , Dorgham Maher M. , Allaloul Sana A. 
Published: May 2024

Abstract
Purpose
This study investigates the impact of senior management’s financial intelligence on the financialperformance of banks and insurance companies operating in the Gaza Strip.

Design
The study followed the descriptive analytical approach to measure financial performance by relying on the financial reports of the sample companies for 2022. Two primary sources were employed: a questionnaire to collect the financial intelligence data, and it was distributed to a sample of individuals representing the management of companies operating in the Gaza Strip. A total of (67) completed questionnaires were obtained. In addition, secondary data from 11 banks and insurance companies operating in the Gaza Strip was collected to compute the financial performance variables such as returns on investment (ROI), assets (ROA), and equity (ROE). The collected data were then analyzed using SPSS software version 28.

Findings
The results indicated that the dimensions of financial intelligence were available. Banks and insurance companies have good financial performance. Furthermore, financial intelligence (understanding beyond the numbers, understanding financial analysis, and grasping the overall financial picture) significantly affected the performance of banks and insurance companies, as measured by ROI and ROA. The dimensions of financial intelligence (mastering financial and monetary skills, understanding financial analysis, and grasping the overall financial picture) also significantly impacted the performance of banks and insurance companies as measured by ROE. Simultaneously, there was no significant effect of financial intelligence (mastering financial and monetary skills) on the performance of banks and insurance companies as measured by ROI and ROA. Furthermore, there was no significant effect of financial intelligence (understanding beyond the numbers) on the performance of banks and insurance companies as measured by ROE.

Originality
To the best of the author’s knowledge, the current study is among the first research efforts in Palestine.

Practical implications
The findings indicate that senior management should pay greater attention to developing financial intelligence skills among employees in supervisory positions, especially those in the administrative, financial, and planning fields, due to their impact on improving companies’ performance.
Image-based machine learning approach for structural damage detection through wavelet transforms
Authors: Song Xi , Li Dan , Cho Chunhee 
Published: May 2024

AbstractStructural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance of vibration-based damage detection has grown substantially in fields such as civil and mechanical engineering. Concurrently, the advancements in computational capacities have facilitated the integration of machine learning into damage detection processes through post-processing algorithms. Nevertheless, these require extensive data from structure-affixed sensors, raising computational requirements. In an effort to address this challenge, we propose a novel approach utilizing a pre-trained convolutional neural network (CNN) based on images to identify and assess structural damage. This method involves employing wavelet transform and scalograms to convert numerical acceleration data into image data, preserving spatial and temporal information more effectively compared to conventional Fourier transform frequency analysis. Six acceleration data channels are collected from carefully chosen nodes on a mini bridge model and a corresponding finite element bridge model, to train the CNN. The efficiency of training is further enhanced by applying transfer machine learning through two pre-trained CNNs, namely Alexnet and Resnet. We evaluate our method using different damage scenarios, and both Alexnet and Resnet show prediction accuracies over 90%.
Unsupervised clustering identifies thermohaline staircases in the Canada Basin of the Arctic Ocean
Authors: Schee Mikhail G. , Rosenblum Erica , Lilly Jonathan M. , Grisouard Nicolas 
Published: May 2024

Abstract
Thermohaline staircases are a widespread stratification feature that impacts the vertical transport of heat and nutrients and are consistently observed throughout the Canada Basin of the Arctic Ocean. Observations of staircases from the same time period and geographic region form clusters in temperature-salinity (T–S) space. Here, for the first time, we use an automated clustering algorithm called the hierarchical density-based spatial clustering of applications with noise to detect and connect individual well-mixed staircase layers across profiles from ice-tethered profilers. Our application only requires an estimate of the typical layer thickness and expected salinity range of staircases. We compare this method to two previous studies that used different approaches to detect layers and reproduce several results, including the mean lateral density ratio

$ {R}_L $

and that the difference in salinity between neighboring layers is a magnitude larger than the salinity variance within a layer. We find that we can accurately and automatically track individual layers in coherent staircases across time and space between different profiles. In evaluating the algorithm’s performance, we find evidence of different physical features, namely splitting or merging layers and remnant intrusions. Further, we find a dependence of

$ {R}_L $

on pressure, whereas previous studies have reported constant

$ {R}_L $

. Our results demonstrate that clustering algorithms are an effective and parsimonious method of identifying staircases in ocean profile data.
Mental health and psychosocial support programmes for displaced populations in low- and middle-income countries (LMICs): A systematic review of process, perspectives and experiences
Authors: Dickson Kelly , Ko Sum Yue (Jessica) , Nguyen Celine , Minchenko Dayana , Bangpan Mukdarut 
Published: May 2024

Abstract
Displacement exerts an ongoing negative impact on people’s mental health. The majority of displaced populations are hosted in the global south, yet there is a paucity of evidence synthesis on the implementation of mental health and psychosocial support (MHPSS) programmes in those contexts. We undertook a systematic review of factors influencing the delivery and receipt of MHPSS programmes for displaced populations in low- and middle-income countries to address this gap. A comprehensive search of 12 bibliographic databases, 25 websites and citation checking were undertaken. Studies published in English from 2013 onwards were included if they contained evidence on the perspectives of adults or children who had engaged in, or programmes providers involved in delivering, MHPSS programmes. Fifteen studies were critically appraised and synthesised. Studies considered programme safety as a proxy for acceptability. Other acceptability themes included stigma, culture and gender. Barriers to the accessibility of MHPSS programmes included language, lack of literacy of programme recipients and location of services. To enhance success, future delivery of MHPSS programmes should address gender and cultural norms to limit mental health stigma. Attention should also be given to designing flexible programmes that take into consideration location and language barriers to ensure they maximise accessibility.
Biodiversity of mosquitoes (Diptera: Culicidae) in phytotelmata from Car Nicobar Island, India
Authors: Sunish I. P. , Prem Kumar Addepalli , Thiruvengadam Kannan , Shriram A. N. 
Published: May 2024

AbstractThe Culicidae mosquito family breeds in various natural and artificial water bodies. Phytotelmata are plant structures that hold water and are used by many mosquito species during their life cycle. Mosquitoes are disease vectors, and phytotelmata play an important role in harbouring them. Investigating these phytotelmata will facilitate to develop appropriate site specific vector control strategy. Approximately 750 phytotelmata in 16 locations on Car Nicobar Island was examined. Mosquito larvae were collected from different habitats such as tree holes, root holes, leaf axils, and bamboo stumps. On average, the number of larvae per 10 ml of water ranged from 0.003 to 3.833. Among the 16 mosquito species identified, there were vectors of malaria (Anopheles sundaicus), dengue (Aedes aegypti and Aedes albopictus) and filariasis (Culex quinquefasciatus), belonging to seven genera. The most common phytotelmata were coconut trees (17.5%) followed by Java apple trees (10.3%) and bamboo stumps (7.1%). The most widespread mosquito species was Aedes edwardsi, followed by Aedes malayensis and Ae. albopictus, and the per cent of phytotelmata that contained these species were 42.6, 22.0, and 16.8% respectively. Anopheles mosquitoes had the highest container index (6.1%) in root holes, while Aedes and Culex mosquitoes were more frequently found in bamboo stumps. The alpha biodiversity indices indicated that the mosquito population in Car Nicobar Island was highly diverse (S = 16; DMg = 36.9). Tree holes showed the highest diversity, as all 16 species were collected from them. Assessment of phytotelmata, there is a significant relationship observed between mosquito genus, village, habitat, and tree families, on the remote island of Car Nicobar. Considering the presence of disease-transmitting mosquito vectors in the phytotelmata, these habitats should be considered when implementing control measures to eliminate mosquito-borne infections.