bluuebunny/crossref_metadata_2025_split huggingface dataset:
Co-creating holistic injury prevention training for youth handball: Development of an intervention targeting end-users at the individual, team, and organizational levels
Authors: Ageberg Eva , Bunke Sofia , Linnéll Jennie , Moesch Karin 
Published: January 2024

Abstract
Background
Interventions that are co-created with end-users, and that are informed by behavior change or implementation theories, support implementation in real world settings. However, injury prevention programs for youth athletes have typically been developed by experts with no, or insufficiently described, end-user involvement and without guidance by theories. The aim of the current study was to describe the development of a holistic injury prevention intervention for youth handball targeting end-users at different levels, through using knowledge from end-users and researchers/experts and applying relevant behavior change and implementation theories.

Methods
Knowledge from researchers/experts (sports medicine, sport psychology, handball, physical therapy, strength and conditioning (n = 14)) and end-users (coaches, players, club administrators, n = 16), and applying relevant implementation (Consolidated Framework for Implementation Research, CFIR), behavior change (Health Action Process Approach, HAPA) and motivational (Self-Determination Theory, SDT) theories, were used to co-design the intervention. Early end-users (coaches (n = 6), players (n = 3) and a club administrator (n = 1)) were interviewed for initial feedback.

Results
The intervention consisted of end-user-targeted information and training that was made available in a specifically developed interactive mobile application with modules for players, coaches, club administrators, and caregivers. Information for all end-users included benefits and principles of physical and psychological injury prevention training, load-management, motivation, and communication. Information about implementation was developed for club administrators specifically. For coaches, training to do with their teams included handball-specific injury prevention exercises (legs, shoulders, core) combined with psychological aspects (motivation, task focus, body awareness) to integrate within warm-up and handball skills training. Training for players included handball-specific multi-joint strength, power, and explosive exercises (legs, shoulders, core) and sport psychology exercises (self-awareness, relaxation, being in the present moment, prevent and handle stress). To support self-management, adoption, and motivation, programs were provided, and players and coaches could change, add, progress the difficulty of exercises, and build their own programs. Initial feedback from early end-users was generally positive.

Conclusions
Utilizing an approach where researchers/experts and end-users co-created injury prevention training specifically for youth handball, an intervention was generated that included information and holistic training targeting end-users at the individual (players, caregivers), team (coaches), and organizational (club administrators) levels.
Ultrasound shear wave speeds reduced following hamstring strain injury but not after returning to sport
Authors: Crawford Scott K. , Wille Christa M. , Joachim Mikel R. , Lee Kenneth S. , Heiderscheit Bryan C. 
Published: January 2024

Abstract
Objectives
The purpose of the study was to investigate differences in ultrasound shear wave speed (SWS) between uninjured and injured limbs following hamstring strain injury (HSI) at time of injury (TOI), return to sport (RTS), and 12 weeks after RTS (12wks).

Methods
This observational, prospective, cross-sectional design included male and female collegiate athletes who sustained an HSI. SWS imaging was performed at TOI, RTS, and 12wks with magnetic resonance imaging. SWS maps were acquired by a musculoskeletal-trained sonographer at the injury location of the injured limb and location-matched on the contralateral limb. The average SWS from three 5 mm diameter Q-boxes on each limb were used for analysis. A linear mixed effects model was performed to determine differences in SWS between limbs across the study time points.

Results
SWS was lower in the injured limb compared to the contralateral limb at TOI (uninjured – injured limb difference: 0.23 [0.05, 0.41] m/s, p = 0.006). No between-limb differences in SWS were observed at RTS (0.15 [-0.05, 0.36] m/s, p = 0.23) or 12wks (-0.11 [-0.41, 0.18] m/s, p = 0.84).

Conclusions
The SWS in the injured limb of collegiate athletes after HSI was lower compared to the uninjured limb at TOI but not at RTS or 12 weeks after RTS.

Critical relevance statement
Hamstring strain injury with structural disruption can be detected by lower injured limb shear wave speed compared to the uninjured limb. Lack of between-limb differences at return to sport may demonstrate changes consistent with healing. Shear wave speed may complement traditional ultrasound or MRI for monitoring muscle injury.

Key points
• Ultrasound shear wave speed can non-invasively measure tissue elasticity in muscle injury locations.
• Injured limb time of injury shear wave speeds were lower versus uninjured limb but not thereafter.
• Null return to sport shear wave speed differences may correspond to structural changes associated with healing.
• Shear wave speed may provide quantitative measures for monitoring muscle elasticity during recovery.

Graphical Abstract
Imaging phenotyping using 18F-FDG PET/CT radiomics to predict micropapillary and solid pattern in lung adenocarcinoma
Authors: Zhou Linyi , Sun Jinju , Long He , Zhou Weicheng , Xia Renxiang , Luo Yi , Fang Jingqin , Wang Yi , Chen Xiao 
Published: January 2024

Abstract
Objectives
To develop and validate a machine learning model using 18F-FDG PET/CT radiomics signature and clinical features to predict the presence of micropapillary and solid (MP/S) components in lung adenocarcinoma.

Methods
Eight hundred and forty-six patients who underwent preoperative PET/CT with pathologically confirmed adenocarcinoma were enrolled. After segmentation, 1688 radiomics features were extracted from PET/CT and selected to construct predictive models. Then, we developed a nomogram based on PET/CT radiomics integrated with clinical features. Receiver operating curves, calibration curves, and decision curve analysis (DCA) were performed for diagnostics assessment and test of the developed models for distinguishing patients with MP/S components from the patients without.

Results
PET/CT radiomics-clinical combined model could well distinguish patients with MP/S components from those without MP/S components (AUC = 0.87), which performed better than PET (AUC = 0.829, p < 0.05) or CT (AUC = 0.827, p < 0.05) radiomics models in the training cohort. In test cohorts, radiomics-clinical combined model outperformed the PET radiomics model in test cohort 1 (AUC = 0.859 vs 0.799, p < 0.05) and the CT radiomics model in test cohort 2 (AUC = 0.880 vs 0.829, p < 0.05). Calibration curve indicated good coherence between all model prediction and the actual observation in training and test cohorts. DCA revealed PET/CT radiomics-clinical model exerted the highest clinical benefit.

Conclusion
18F-FDG PET/CT radiomics signatures could achieve promising prediction efficiency to identify the presence of MP/S components in adenocarcinoma patients to help the clinician decide on personalized treatment and surveillance strategies. The PET/CT radiomics-clinical combined model performed best.

Critical relevance statement
18F-FDG PET/CT radiomics signatures could achieve promising prediction efficiency to identify the presence of micropapillary and solid components in adenocarcinoma patients to help the clinician decide on personalized treatment and surveillance strategies.

Graphical Abstract
The effect of feature normalization methods in radiomics
Authors: Demircioğlu Aydin 
Published: January 2024

AbstractObjectivesIn radiomics, different feature normalization methods, such as z-Score or Min–Max, are currently utilized, but their specific impact on the model is unclear. We aimed to measure their effect on the predictive performance and the feature selection.MethodsWe employed fifteen publicly available radiomics datasets to compare seven normalization methods. Using four feature selection and classifier methods, we used cross-validation to measure the area under the curve (AUC) of the resulting models, the agreement of selected features, and the model calibration. In addition, we assessed whether normalization before cross-validation introduces bias.ResultsOn average, the difference between the normalization methods was relatively small, with a gain of at most + 0.012 in AUC when comparing the z-Score (mean AUC: 0.707 ± 0.102) to no normalization (mean AUC: 0.719 ± 0.107). However, on some datasets, the difference reached + 0.051. The z-Score performed best, while the tanh transformation showed the worst performance and even decreased the overall predictive performance. While quantile transformation performed, on average, slightly worse than the z-Score, it outperformed all other methods on one out of three datasets. The agreement between the features selected by different normalization methods was only mild, reaching at most 62%. Applying the normalization before cross-validation did not introduce significant bias.ConclusionThe choice of the feature normalization method influenced the predictive performance but depended strongly on the dataset. It strongly impacted the set of selected features.Critical relevance statementFeature normalization plays a crucial role in the preprocessing and influences the predictive performance and the selected features, complicating feature interpretation.Key points• The impact of feature normalization methods on radiomic models was measured.• Normalization methods performed similarly on average, but differed more strongly on some datasets.• Different methods led to different sets of selected features, impeding feature interpretation.• Model calibration was not largely affected by the normalization method.Graphical Abstract
Cellular and molecular mechanisms of highly active mesenchymal stem cells in the treatment of senescence of rhesus monkey ovary
Authors: Wang Kai , Yao Xiang , Lin Shu-qian , Zhu Xiang-qing , Pan Xing-hua , Ruan Guang-ping 
Published: January 2024

Abstract
Background
Recent studies have shown that umbilical cord mesenchymal stem cells have an anti-aging effect in ovaries, but the cellular and molecular mechanisms of HA-MSC ovarian anti-aging remain to be studied. Therefore, we conducted a 10X Genomics single-nucleus transcriptome sequencing experiment on the ovaries of macaque monkeys after HA-MSC treatment.

Methods
The results of cell subgroup classification were visualized by 10X Genomics single nuclear transcriptome sequencing. The aging model of hGCs was established, and the migration ability of the cells was determined after coculture of HA-MSCs and aging hGCs. The genes screened by single nuclear transcriptional sequencing were verified in vitro by qPCR.

Results
Compared with the aging model group, the number of cell receptor pairs in each subgroup of the HA-MSC-treated group increased overall. Treatment with 200 μmol/L H2O2 for 48 h was used as the optimum condition for the induction of hGC senescence. After coculture of noncontact HA-MSCs with senescent hGCs, it was found that HA-MSCs can reverse the cell structure, proliferation ability, senescence condition, expression level of senescence-related genes, and expression level of key genes regulating the senescence pathway in normal hGCs.

Conclusions
HA-MSC therapy can improve the tissue structure and secretion function of the ovary through multiple cellular and molecular mechanisms to resist ovarian aging. In vitro validation experiments further supported the results of single-cell sequencing, which provides evidence supporting a new option for stem cell treatment of ovarian senescence.
Effects of fertilization on radial growth of Pinus pinea explored hourly using dendrometers
Authors: Loewe-Muñoz Verónica , del Río Millar Rodrigo , Delard Rodriguez Claudia , Balzarini Mónica 
Published: January 2024

Abstract
Background
Stone pine (Pinus pinea), a drought-resistant species, has significant socio-economic benefits and increasing interest for the establishment of productive plantations in several countries, especially in a climate change context. Monitoring hourly stem diameter variations contributes to the understanding of the tree-growth response to changes in environmental conditions and management. By monitoring the diameter expansion of tree stems, high-resolution band dendrometers were used to study the development of adult trees growing in a semi-arid coastal environment of central Chile under fertilized and non-fertilized soil conditions through the span of a year.

Results
Short cycles (< 21 h) were few in fertilized and non-fertilized trees (6 and 4, respectively), whereas long cycles (> 28 h) occurred at a higher frequency in fertilized trees (16 vs 6). Most of the circadian cycles were regular (24 ± 3 h). The longest cycle duration (59 h) was observed in fertilized trees during spring. In all seasons, each phase of the circadian cycle, especially during the stem diameter increment phase (P3, irreversible growth), started earlier in fertilized than in control trees. P3 duration was significantly longer in fertilized than in control trees in springtime. The maximum shrinkage (P1) was observed in summer for both treatments. Stem diameter increased faster in fertilized than in control trees throughout the year, with the highest accumulation occurring in spring and the lowest in autumn. The daily variability pattern showed lower growth under high temperature across seasons.

Conclusions
This study highlights the importance of fertilization in enhancing stone pine diameter growth. This cultural practice should be further explored to contribute to the mitigation of climate change effects in semi-arid environments.
On-site evaluation as external quality assessment of microbiology laboratories involved in sentinel laboratory-based antimicrobial resistance surveillance network in Burkina Faso
Authors: Zongo Emmanuel , Dama Emilie , Yenyetou Dame , Muhigwa Merci , Nikiema Abdoulaye , Dahourou Georges Anicet , Ouedraogo Abdoul-Salam 
Published: January 2024

Abstract
Background
The laboratory-based surveillance of antimicrobial resistance (AMR) is a priority component of the multisectoral national action plan to combat AMR in Burkina Faso. This study aimed to assess the QMS of microbiology laboratories involved in the Sentinel laboratory-based antimicrobial resistance surveillance network in Burkina Faso.

Methods
A cross-sectional study was conducted from September 1st to November 30th, 2022. The external quality assessment (EQA) method used was on-site evaluation using a checklist that was developed and validated by a technical committee of experts. Teams of two, including an antimicrobial susceptibility test (AST) specialist and a QMS specialist, were trained on this checklist to conduct the assessment. Satisfactory performance was defined as any on-site evaluation score 80% and above with the aim of developing action plans to address gaps.

Results
All 18 laboratories were evaluated. The overall average performance score of the participating laboratories was 40%. The highest overall performance score was 58%, and the lowest overall performance score was 26%. The average overall scores were not significantly different between private and public laboratories (p value = 0.78). The only section of the checklist with the satisfactory performance concerned the “Analytical step of AST”, with 76.5% (13/17) of the sentinel laboratories having a score ≥ 80%.

Conclusion
The performance of the QMS of the sentinel laboratories in Burkina Faso for AMR surveillance was unsatisfactory, and a corrective action plan was proposed to support these laboratories in improving their QMS over the next 3 years.
Clinical outcomes of myocardial infarction with non-obstructive coronary arteries presenting with diabetic ketoacidosis: a propensity score-matched analysis
Authors: Ullah Asif , Khan Umar , Asif Shumaila , Shafique Hafiz Muhammad , Sajid Talha , Kumar Jateesh , Akhtar Waheed , Zaidi Syed Muhammad Jawad , Malik Jahanzeb , Mehmoodi Amin 
Published: January 2024

Abstract
Introduction and Objective
There is a paucity of data on patients with myocardial infarction with nonobstructive coronary arteries (MINOCA) and a decompensated diabetic state, diabetic ketoacidosis (DKA). Therefore, we aimed to investigate the outcomes of patients with MINOCA presenting with or without DKA.

Methods
We conducted this retrospective propensity score-matched analysis from January 1, 2015, to December 4, 2022. The patients with a principal admission diagnosis of ST-Elevation MI (STEMI) and discharge labeled as MINOCA (ICD-10-CM code 121.9) with DKA were analyzed. We performed a comparative analysis for MINOCA with and without DKA before and after propensity score matching for primary and secondary endpoints.

Results
Three thousand five hundred sixty-three patients were analyzed, and 1150 (32.27%) presented with DKA, while 2413 (67.72%) presented as non-DKA. The DKA cohort had over two-fold mortality (5.56% vs. 1.19%; p = 0.024), reinfarction (5.82% vs. 1.45%; p = 0.021), stroke (4.43% vs. 1.36%; p = 0.035), heart failure (6.89% vs. 2.11%; p = 0.033), and cardiogenic shock (6.43% vs. 1.78%; p = 0.025) in a propensity score-matched analysis. There was an increased graded risk of MINOCA with DM (RR (95% CI): 0.50 (0.36–0.86; p = 0.023), DKA (RR (95% CI): 0.46 (0.24–0.67; p = 0.001), and other cardiovascular (CV) risk factors.

Conclusion
DKA complicates a portion of MINOCA and is associated with increased mortality and major adverse cardiovascular events (MACE).
Determination of antibiotic resistance patterns and genotypes of Escherichia coli isolated from wild birds
Authors: Ahmed Nejash A. , Gulhan Timur 
Published: January 2024

Abstract
Background
Curbing the potential negative impact of antibiotic resistance, one of our era's growing global public health crises, requires regular monitoring of the resistance situations, including the reservoir of resistance genes. Wild birds, a possible bioindicator of antibiotic resistance, have been suggested to play a role in the dissemination of antibiotic-resistant bacteria. Therefore, this study was conducted with the objective of determining the phenotypic and genotypic antibiotic resistance profiles of 100 Escherichia coli isolates of gull and pigeon origin by using the Kirby-Bauer disk diffusion method and PCR. Furthermore, the genetic relationships of the isolates were determined by RAPD-PCR.

Results
Phenotypic antibiotic susceptibility testing revealed that 63% (63/100) and 29% (29/100) of E. coli isolates were resistant to at least one antibiotic and multidrug-resistant (MDR), respectively. With the exception of cephalothin, to which the E. coli isolates were 100% susceptible, tetracycline (52%), kanamycin (38%), streptomycin (37%), ampicillin (28%), chloramphenicol (21%), trimethoprim/sulfamethoxazole (19%), gentamicin (13%), enrofloxacin (12%) and ciprofloxacin (12%) resistances were detected at varying degrees. Among the investigated resistance genes, tet(B) (66%), tet(A) (63%), aphA1 (48%), sul3 (34%), sul2 (26%), strA/strB (24%) and sul1 (16%) were detected. Regarding the genetic diversity of the isolates, the RAPD-PCR-based dendrograms divided both pigeon and gull isolates into five different clusters based on a 70% similarity threshold. Dendrogram analysis revealed 47–100% similarities among pigeon-origin strains and 40–100% similarities among gull-origin E.coli strains.

Conclusions
This study revealed that gulls and pigeons carry MDR E. coli isolates, which may pose a risk to animal and human health by contaminating the environment with their feces. However, a large-scale epidemiological study investigating the genetic relationship of the strains from a "one health" point of view is warranted to determine the possible transmission patterns of antibiotic-resistant bacteria between wild birds, the environment, humans, and other hosts.
Metabolic regulation of tumor-associated macrophage heterogeneity: insights into the tumor microenvironment and immunotherapeutic opportunities
Authors: Qian Yujing , Yin Yujia , Zheng Xiaocui , Liu Zhaoyuan , Wang Xipeng 
Published: January 2024

AbstractTumor-associated macrophages (TAMs) are a heterogeneous population that play diverse functions in tumors. Their identity is determined not only by intrinsic factors, such as origins and transcription factors, but also by external signals from the tumor microenvironment (TME), such as inflammatory signals and metabolic reprogramming. Metabolic reprogramming has rendered TAM to exhibit a spectrum of activities ranging from pro-tumorigenic to anti-tumorigenic, closely associated with tumor progression and clinical prognosis. This review implicates the diversity of TAM phenotypes and functions, how this heterogeneity has been re-evaluated with the advent of single-cell technologies, and the impact of TME metabolic reprogramming on TAMs. We also review current therapies targeting TAM metabolism and offer new insights for TAM-dependent anti-tumor immunotherapy by focusing on the critical role of different metabolic programs in TAMs.
Cerebrospinal fluid shotgun proteomics identifies distinct proteomic patterns in cerebral amyloid angiopathy rodent models and human patients
Authors: Vervuurt Marc , Schrader Joseph M. , de Kort Anna M. , Kersten Iris , Wessels Hans J. C. T. , Klijn Catharina J. M. , Schreuder Floris H. B. M. , Kuiperij H. Bea , Gloerich Jolein , Van Nostrand William E. , Verbeek Marcel M. 
Published: January 2024

AbstractCerebral amyloid angiopathy (CAA) is a form of small vessel disease characterised by the progressive deposition of amyloid β protein in the cerebral vasculature, inducing symptoms including cognitive impairment and cerebral haemorrhages. Due to their accessibility and homogeneous disease phenotypes, animal models are advantageous platforms to study diseases like CAA. Untargeted proteomics studies of CAA rat models (e.g. rTg-DI) and CAA patients provide opportunities for the identification of novel biomarkers of CAA. We performed untargeted, data-independent acquisition proteomic shotgun analyses on the cerebrospinal fluid of rTg-DI rats and wild-type (WT) littermates. Rodents were analysed at 3 months (n = 6/10), 6 months (n = 8/8), and 12 months (n = 10/10) for rTg-DI and WT respectively. For humans, proteomic analyses were performed on CSF of sporadic CAA patients (sCAA) and control participants (n = 39/28). We show recurring patterns of differentially expressed (mostly increased) proteins in the rTg-DI rats compared to wild type rats, especially of proteases of the cathepsin protein family (CTSB, CTSD, CTSS), and their main inhibitor (CST3). In sCAA patients, decreased levels of synaptic proteins (e.g. including VGF, NPTX1, NRXN2) and several members of the granin family (SCG1, SCG2, SCG3, SCG5) compared to controls were discovered. Additionally, several serine protease inhibitors of the SERPIN protein family (including SERPINA3, SERPINC1 and SERPING1) were differentially expressed compared to controls. Fifteen proteins were significantly altered in both rTg-DI rats and sCAA patients, including (amongst others) SCG5 and SERPING1. These results identify specific groups of proteins likely involved in, or affected by, pathophysiological processes involved in CAA pathology such as protease and synapse function of rTg-DI rat models and sCAA patients, and may serve as candidate biomarkers for sCAA.