bluuebunny/crossref_metadata_2025_split huggingface dataset:
A never‐ending story of an identity crisis or a creative reformulation of an Alevi‐mindset? What the case of Alevi youth in the German diaspora suggest today?
Authors: Gültekin Ahmet Kerim 
Published: July 2024

AbstractThe Alevi movement, originating more than three decades ago in Turkey and the Western European diaspora, has led to significant social and cultural shifts within Alevi communities. This movement witnessed the emergence of Alevi associations, increased religio‐political activities, and a fervent search for a redefined Alevi identity. The quest for a comprehensive understanding of Alevi identity remains a contested debate, prominently reflected within Alevi youth, who navigate complex socio‐cultural landscapes and encounter challenges in defining their identity amidst competing narratives and associations. This paper examines the identity formation strategies of young Alevis in Berlin, drawing on ethnographic fieldwork conducted between 2021 and 2023. Contrary to mainstream portrayals of Alevi youth experiencing a loss of identity, this study argues for the presence of continuity dynamics, emphasising inherited Alevi mindsets and emotions. Through interviews and analysis of a documentary produced by Berlin Alevi youth, the paper explores new narratives about Alevi history, sociology, and theology constructed by young Alevis, highlighting their role in shaping contemporary Alevism in Germany. This research contributes original data and discussions to the existing literature on Alevi youth, shedding light on their evolving identities and the dynamics of Alevi discourse in diasporic settings.
Injury Prevention Training in Girls' and Women's Elite Football in Denmark: A Survey of Practices and Perceptions
Authors: Bandak Elisabeth , Zebis Mette , Alkjaer Tine , Nielsen Sabrina Mai , Bennike Søren , Thorborg Kristian 
Published: July 2024

ABSTRACTThrough a national cross‐sectional survey, the present study investigated the use and content of injury prevention training (IPT), and associated attitudes and beliefs, involving stakeholders in Danish girls' and women's elite football (U14, U16, U18, and Danish Women's League teams). A total of 168 stakeholders (coaches, physical performance coaches, physiotherapists, medical doctors, and club management) from 18 Danish elite clubs were invited to participate. Of these, 158 were eligible to participate, and 110 participants (69.6% response rate) provided 191 valid survey responses, as some provided more than one response due to multiple affiliations within the same club. The use of IPT ranged from 91.1% to 100% across team levels, with approximately 50% reporting up to 1–2 h/week. Interestingly, only 52.9%–72.7% of the responses indicated use of an evidence‐based IPT program, with lowest adoption at the U14 and Danish Women's League teams. The FIFA 11+ was the most used evidence‐based IPT program. The majority of the participants (>72%) had positive perceptions regarding IPT impact on injury reduction. These findings indicate that, while IPT is broadly used across Danish girls' and women's elite football teams, the implementation of evidence‐based IPT programs varies, with lower adoption of these programs among the youngest and senior elite teams. Hence, there is a need to enhance integration of IPT programs proven effective in girls' and women's elite football. Notably, stakeholders expressed positive perceptions regarding the impact of IPT on injury reduction, which provides valuable support for future efforts to strengthen IPT in football practice.
On regression modeling in varieties research
Authors: Gries Stefan Th. 
Published: July 2024

AbstractOne particularly prominent methodological development in linguistics is what has been termed the “quantitative turn”: Not only are more and more studies using statistical tools to explore data and to test hypotheses, the complexity of the statistical methods employed is growing as well. This development is particularly prominent in all kinds of corpus‐linguistic studies: 20 years ago chi‐squared tests, t‐tests, and Pearson's r reigned supreme, but now more and more corpus studies are using multivariate exploratory tools and, for hypothesis testing, multifactorial predictive modeling techniques, in particular regression models (and, increasingly, tree‐based methods). However welcome this development is, it, and especially its pace as well as the fact that few places offer rigorous training in statistical methods, comes with its own risks, chief among them that analytical methods are misapplied, which can lead imprecise, incomplete, or wrong analyses. In this paper, I will revisit a recent regression‐analytic study in the research area of English varieties (on clause‐final also and only in three Asian Englishes) to:

highlight in particular three fundamental yet frequent mistakes that it exemplifies;
discuss why and how each of these mistakes should be addressed;
reanalyze the data (as far as is possible with what is available) and show briefly how that affects the analysis's results and interpretation.
Setting sail for Paris 2024: Retrospective analysis of world‐class ILCA 7 Olympic sailors’ cardiorespiratory fitness (2015–2020)
Authors: Zubac Damir , Valić Zoran , Ivančev Vladimir 
Published: July 2024

AbstractThe aim of this retrospective analysis was to provide a more comprehensive understanding of the cardiorespiratory profile of world‐class ILCA‐7 sailors (n = 3, all males), through a longitudinal evaluation offering real‐world data on physiological profile and exercise intensity domains. The cardiopulmonary exercise testing (CPET) was performed by the same researchers using the same equipment during the study. Assessments took place twice a year, aligning with major international competition preparations. Participants trained and competed at the same sailing club in Split, Croatia, under consistent supervision from the same team throughout the study, winning a total of 21 medals at major international competitions. The recorded ranged from 51.7 ± 1.6 to 61.9 ± 3.0 mL min−1 kg−1, respectively. Similarly, peak power output varied from 352 ± 10 to 426 ± 34 W. The changes in physiological responses at the ventilatory thresholds were proportional to the changes in peak cardiorespiratory fitness capacity. Interestingly, the oxygen pulse measured in 2015 was 25 ± 1 mL O2 beat−1. Over the subsequent 6 years, the O2 pulse marginally increased and appeared to stabilize at 27 ± 1 mL O2 beat−1 in 2020, when these athletes were 32 ± 3 years old. This work offers a broader understanding of world‐class Olympic sailors’ cardiorespiratory fitness, going beyond the standard assessment of peak to incorporate an analysis of ventilatory thresholds. While a direct link between cardiorespiratory fitness and competitive success remains ambiguous, the importance of a well‐rounded aerobic capacity for excellence in ILCA‐7 sailing class is evident.
Effect of L-arginine on cystic fibrosis
Pseudomonas aeruginosa
biofilms
Authors: Eisha Shafinaz , Morris Amanda J. , Martin Isaac , Yau Yvonne C. W. , Grasemann Hartmut , Waters Valerie 
Published: July 2024

ABSTRACT

Cystic fibrosis (CF) airways are L-arginine deficient which may affect susceptibility to infection with certain pathogens. The potential impact of L-arginine supplementation on
Pseudomonas aeruginosa
, a common CF airway pathogen, is unclear. This study investigated the effects of L-arginine on
P. aeruginosa
biofilm cultures, using the laboratory strain PAO1 and multi-drug resistant CF clinical isolates.
P. aeruginosa
biofilms were grown in a chambered cover-glass slide model for 24 h, then exposed to either L-arginine alone or combined with tobramycin for an additional 24 h. Biofilms were visualized using confocal microscopy, and viable cells were measured via plating for colony-forming units. Increasing concentrations of L-arginine in bacterial culture medium reduced the biovolume of
P. aeruginosa
in a dose-dependent manner. Notably, L-arginine concentrations within the physiological range (50 mM and 100 mM) in combination with tobramycin promoted biofilm growth, while higher concentrations (600 mM and 1200 mM) inhibited growth. These findings demonstrate the potential of L-arginine as an adjuvant therapy to inhaled tobramycin in treating
P. aeruginosa
infections in people with CF.
Trends in long term vaping among adults in England, 2013-23: population based study
Authors: Jackson Sarah E , Tattan-Birch Harry , Shahab Lion , Brown Jamie 
Published: July 2024

Abstract

Objective
To examine trends in long term (>6 months) vaping among adults in England.

Design
Population based study.

Setting
England.

Participants
179 725 adults (≥18 years) surveyed between October 2013 and October 2023.

Main outcome measures
Time trends in prevalence of long term vaping using logistic regression, overall and by vaping frequency (daily or non-daily), and main type of device used (disposable, refillable, or pod).

Results

The proportion of adults reporting long term vaping increased non-linearly, from 1.3% (95% confidence interval 1.1% to 1.5%) in October 2013 to 10.0% (9.2% to 10.9%) in October 2023, with a particularly pronounced rise from 2021. This rise included an increase in long term daily vaping, from 0.6% (0.5% to 0.8%) to 6.7% (6.0% to 7.4%). Absolute increases in long term vaping were larger among people with a history of regular smoking (current smokers: 4.8% (4.0% to 5.8%) to 23.1% (20.4% to 25.9%); recent former smokers: 5.7% (3.4% to 9.2%) to 36.1% (27.6% to 45.4%); long term former smokers: 1.4% (1.0% to 1.9%) to 16.2% (14.2% to 18.4%)), but an increase also occurred among people who had never regularly smoked (0.1% (0.0% to 0.2%) to 3.0% (2.3% to 3.8%)). Growth was also more pronounced in young adults (eg, reaching 22.7% (19.2% to 26.5%) of 18 year olds
v
4.3% (3.6% to 5.2%) of 65 year olds), including among those who had never regularly smoked (reaching 16.1% (11.1% to 22.7%) of 18 year olds
v
0.3% (0.1% to 0.6%) of 65 year olds). Between October 2013 and March 2021, most long term vapers mainly or exclusively used refillable electronic cigarettes (2.5% to 3.3% of adults) and few (0.1% of adults) used disposable devices. However, prevalence of long term vaping using disposable devices subsequently rose rapidly, and by October 2023 similar proportions of adults mainly or exclusively used disposable and refillable devices (4.9% (4.2% to 5.7%) and 4.6% (4.0% to 5.3%), respectively).

Conclusions
The prevalence of long term vaping increased substantially among adults in England during 2013-23. Much of this increase occurred from 2021, coinciding with the rise in popularity of disposable e-cigarettes. Half of long term vapers now mainly or exclusively use disposable devices. The growth was concentrated among people with a history of regular smoking, but an increase also occurred among people who never regularly smoked, especially young adults.
Circumstantial variables preceding firearm suicide among females with and without mobility disability in the USA: comparative analysis using data from the National Violent Death Reporting System
Authors: Takagi-Stewart Julian , Prater Laura C , Marts Erika , Ayachit Pooja , Jesus Tiago S 
Published: July 2024

BackgroundMobility disability impacts approximately 12% of the US population; females are overrepresented among persons with mobility disability. Those with mobility disability are at increased risk of suicide compared with their non-disabled counterparts. Suicide using a firearm has increased among females in the last two decades. This study aims to describe and explore significant circumstantial variables (eg, socio-demographic, health indicators) preceding firearm suicide among females with mobility disability as compared with females without mobility disability.MethodsThis is a secondary comparative, retrospective analysis of the narrative data from the National Violent Death Reporting System Restricted Access Database. Persons with mobility disability were identified through text mining and manual review and subsequently analysed with a summative form of content analysis. Pearson/Fisher’s X2or t-tests were used to assess differences in the circumstantial variables between those with and without mobility disabilities.ResultsAmong female firearm suicide decedents, persons with mobility disability were more commonly older (p<0.001), identified as a homemaker (p<0.001), were perceived to be in a depressed mood before death (p<0.05), had a history of suicidal thoughts (p<0.05) and were perceived to have physical pain (p<0.001); they less commonly had relationship problems (p<0.05).ConclusionsFemales with mobility disability who die by firearm suicide may be differentiated from suicide decedents without mobility disability by age, employment status, depressive mood, relationship problems and physical pain. The significance of these variables as independent risk factors for firearm suicide may be tested with prospective study designs, which in turn may inform the development of targeted or disability-inclusive prevention strategies.
The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine
Authors: Hashimoto Tadayoshi , Nakamura Yoshiaki , Fujisawa Takao , Imai Mitsuho , Shibuki Taro , Iida Naoko , Ozaki Hiroshi , Nonomura Norio , Morizane Chigusa , Iwata Hiroji , Okano Susumu , Yamagami Wataru , Yamazaki Naoya , Kadowaki Shigenori , Taniguchi Hiroya , Ueno Makoto , Boku Shogen , Oki Eiji , Komatsu Yoshito , Yuki Satoshi , Makiyama Akitaka , Otsuka Tomoyuki , Hara Hiroki , Okano Naohiro , Nishina Tomohiro , Sakamoto Yasutoshi , Miki Izumi , Kobayashi Shin , Yuda Junichiro , Kageyama Shun-Ichiro , Nagamine Michiko , Sakashita Shingo , Sakamoto Naoya , Yamashita Riu , Koga Yoshikatsu , Bando Hideaki , Ishii Genichiro , Kuwata Takeshi , Park Woong-Yang , Ohtsu Atsushi , Yoshino Takayuki 
Published: July 2024

Abstract
The SCRUM-Japan MONSTAR-SCREEN consortium is a nationwide molecular profiling project employing artificial intelligence–driven multiomics analyses for patients with advanced malignancies, aiming to develop novel therapeutics and diagnostics and deliver effective drugs to patients. Concurrently, studies assessing molecular residual disease–based precision medicine for resectable solid tumors, including CIRCULATE-Japan, are ongoing. The substantial data generated by these platforms are stored within a state-of-the-art supercomputing infrastructure, VAPOR CONE. Since 2015, our project has registered over 24,000 patients as of December 2023. Among 16,144 patients with advanced solid tumors enrolled in MONSTAR-SCREEN projects, 5.0% have participated in matched clinical trials, demonstrating a 29.2% objective response rate and 14.8-month median survival (95% CI, 13.4–16.3) for patients treated in the matched clinical trials. Notably, patients who received matched therapy demonstrated significantly prolonged overall survival compared with those who did not (hazard ratio 0.77; 95% confidence interval, 0.71–0.83).
Significance: Our nationwide molecular profiling initiative played pivotal roles in facilitating the enrollment of patients with advanced solid tumors into matched clinical trials and highlighted the substantial survival benefits of patients treated with matched therapy. We aim to facilitate an industry–academia data-sharing infrastructure ecosystem, fostering new drug discovery paradigms and precision medicine.
NK Receptor Signaling Lowers TCR Activation Threshold, Enhancing Selective Recognition of Cancer Cells by TAA-Specific CTLs
Authors: Dong Bowen , Obermajer Nataša , Tsuji Takemasa , Matsuzaki Junko , Bonura Cindy M. , Sander Cindy , Withers Henry , Long Mark D. , Chavel Colin , Olejniczak Scott H. , Minderman Hans , Kirkwood John M. , Edwards Robert P. , Storkus Walter J. , Romero Pedro , Kalinski Pawel 
Published: July 2024

Abstract
Cytotoxic CD8+ T lymphocyte (CTL) recognition of non-mutated tumor-associated antigens (TAA), present on cancer cells and also in healthy tissues, is an important element of cancer immunity, but the mechanism of its selectivity for cancer cells and opportunities for its enhancement remain elusive. In this study, we found that CTL expression of the NK receptors (NKR) DNAM1 and NKG2D was associated with the effector status of CD8+ tumor-infiltrating lymphocytes and long-term survival of patients with melanoma. Using MART1 and NY-ESO-1 as model TAAs, we demonstrated that DNAM1 and NKG2D regulate T-cell receptor (TCR) functional avidity and set the threshold for TCR activation of human TAA-specific CTLs. Superior co-stimulatory effects of DNAM1 over CD28 involved enhanced TCR signaling, CTL killer function, and polyfunctionality. Double transduction of human CTLs with TAA-specific TCR and NKRs resulted in strongly enhanced antigen sensitivity, without a reduction in antigen specificity and selectivity of killer function. In addition, the elevation of NKR ligand expression on cancer cells due to chemotherapy also increased CTL recognition of cancer cells expressing low levels of TAAs. Our data help explain the ability of self-antigens to mediate tumor rejection in the absence of autoimmunity and support the development of dual-targeting adoptive T-cell therapies that use NKRs to enhance the potency and selectivity of recognition of TAA-expressing cancer cells.
AI and Knowledge Management Orchestration Implementation in Today’s Business
Authors: Wulansari Retno , Prabandari Sri Palupi 
Published: July 2024

How was the orchestration AI and Knowledge Management Implementation in Today's Business? Objective: Examined the orchestration AI and Knowledge Management in Today's Business. Method: The author used a theory review method that relates to AI and Knowledge Management. Journal review and point of view on how it has been implemented in today's business. Findings: The integration of AI and KM was crucial for optimizing operations and competitiveness in modern businesses It transcends geographical boundaries and reshapes global business practices. Challenges include integration complexities and data privacy concerns, but the benefits include unlocking insights and fostering innovation. Looking ahead, AI-KM synergy promises transformative change and innovation. Conclusion: integration of Artificial Intelligence (AI) and Knowledge Management (KM) emerges as a vital strategy for modern businesses, offering transformative benefits despite challenges. By optimizing operations, fostering innovation, and transcending geographical boundaries, AI-KM synergy reshapes global business practices and drives organizational agility. As emerging trends like augmented intelligence and human-machine collaboration redefine the future of work, strategic orchestration of AI and KM becomes essential for navigating complexity, capitalizing on opportunities, and thriving in the digital era.
Hydnum khanspurense sp. nov. and H. berkeleyanum from Pakistan
Authors: ALI MUHAMMAD , GHAFOOR ANEEQA , GHAFOOR ANNIE , NIAZI ABDUL REHMAN , SWENIE RACHEL A. 
Published: July 2024

During mushroom surveys (2017 to 2022) of moist temperate forests of Pakistan, five different collections of Hydnum were found. Morpho-anatomical and phylogenetic analysis of the internal transcribed spacer (nrITS) of these specimens revealed one species new to science (Hydnum khanspurense sp. nov.) and one new record for Pakistan (Hydnum berkeleyanum). Hydnum khanspurense sp. nov. is characterized by non-decurrent spines, relatively smaller basidiospores and basidia with 1–4 sterigmata, along with ITS region divergence from the closest related species of subgenus Pallida, H. pallidomarginatum and H. flabellatum. Similarly, H. berkeleyanum, a member of subgenus Hydnum, was confirmed for the first time in Pakistan on the basis of micro-morphological and phylogenetic analysis. Detailed phylogenetic analysis confirming their systematic positions and morpho-anatomical studies of these taxa are provided and illustrated.
PEMPS: a phylogenetic software tool to model the evolution of metabolic pathways
Authors: McCloskey Nicholas S. , Mammedova Ayna , Liberles David A. 
Published: July 2024

Abstract
Background
Metabolic pathways support the enzyme flux that converts input chemicals into energy and cellular building blocks. With a constant rate of input, steady-state flux is achieved when metabolite concentrations and reaction rates remain constant over time. Individual genes undergo mutation, while selection acts on higher level functions of the pathway, such as steady-state flux where applicable. Modeling the evolution of metabolic pathways through mechanistic sets of ordinary differential equations is a piece of the genotype–phenotype map model for interpreting genetic variation and inter-specific differences. Such models can generate distinct compensatory changes and adaptive changes from directional selection, indicating single nucleotide polymorphisms and fixed differences that could affect phenotype. If used for inference, this would ultimately enable detection of selection on metabolic pathways as well as inference of ancestral states for metabolic pathway function.

Results
A software tool for simulating the evolution of metabolic pathways based upon underlying biochemistry, phylogenetics, and evolutionary considerations is presented. The Python program, Phylogenetic Evolution of Metabolic Pathway Simulator (PEMPS), implements a mutation-selection framework to simulate the evolution of the pathway over a phylogeny by interfacing with COPASI to calculate the steady-state flux of the metabolic network, introducing mutations as alterations in parameter values according to a model, and calculating a fitness score and corresponding probability of fixation based on the change in steady-state flux value(s). Results from simulations are consistent with a priori expectations of fixation probabilities and systematic change in model parameters.

Conclusions
The PEMPS program simulates the evolution of a metabolic pathway with a mutation-selection modeling framework based on criteria like steady-state flux that is designed to work with SBML-formatted kinetic models, and Newick-formatted phylogenetic trees. The Python software is run on the Linux command line and is available at https://github.com/nmccloskey/PEMPS.