bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Training Model to Improve Diagnostic Accuracy of Cervical Fine‐Needle Aspiration
Authors: Anschuetz Lukas , Tschopp Samuel , Trippel Mafalda , Huwendiek Sören , Trepp Roman , Caversaccio Marco , von Werdt Moritz , Borner Urs 
Published: December 2024

ABSTRACTIntroductionThis study aims to improve the diagnostic yield of cervical fine‐needle aspiration (FNA) through training on a novel liver model. Ultrasonography‐guided fine‐needle aspiration (US‐FNA) is crucial for diagnosing head and neck lumps but requires meticulous execution. Limited resources often hinder systematic teaching, making practical models essential for training.MethodsFifteen otorhinolaryngology residents trained using a liver model with inserted Sensorium spheres to simulate cervical masses. The training involved viewing an instructional video, performing US‐FNA on the model, and completing pre‐ and posttraining self‐assessments. Performance was evaluated using visual analog scales (VAS), an adapted version of objective structured assessment of ultrasound skills (adapted OSAUS), and timing of procedures. Clinical impact was assessed by comparing diagnostic rates of US‐FNA before and after training.ResultsParticipants reported increased comfort and proficiency in US‐FNA techniques posttraining. Adapted OSAUS scores improved significantly for image recognition and both in‐plane and out‐of‐plane techniques. The diagnostic yield of US‐FNA in clinical practice increased from 71% to 85%. No significant influence of gender, preferred ultrasound orientation, age, or experience on the learning curve was found. However, male participants showed a more substantial benefit from the training.ConclusionThe liver model effectively enhances US‐FNA skills, reflected in improved clinical diagnostic rates. Training on such models should be incorporated into medical education to reduce inconclusive punctures and enhance patient satisfaction. This study demonstrates the feasibility and effectiveness of a cost‐efficient, reproducible model for US‐FNA training, emphasizing the importance of practical training in medical education.
Commitment and Quiet Quitting: A Qualitative Longitudinal Study
Authors: Harris Lloyd C. 
Published: December 2024

ABSTRACTRecently scholars across a range of fields have noted the importance of the issue of quiet quitting in term of both pervasiveness and profundity of impact. Our study views quiet quitting as employees intentionally opting actively to manage their work/working lives to adhere to contracted duties/hours while avoiding voluntarily taking on additional responsibilities, tasks, or roles. To date, almost universally, existing studies assume that quiet quitting is a single, monolithic, homogenous phenomenon which relentlessly generates ‘bad’ outcomes for firms and ‘good’ outcomes for perpetrators. This current study addresses these important assumptions with a key aim of our research is to supply grounded evidence of the nature of quiet quitting and to examine the outcomes of such actions for perpetrators' longitudinally. To facilitate this, we adopt the concept of commitment as our conceptual lens for explicating how employees' quiet quitting is manifested and utilize a longitudinal, qualitative research design to gauge outcomes. After outlining existing research in the area, we detail our research design and methodology, before presenting the insights gained during data collection and analysis. Our paper concludes with a discussion of a series of contributions to both theory and practice.
In Silico and In Vitro Verification of the Effects of Chemotherapeutic Doxorubicin and 5‐Fluorouracil in Combination With Curcumin and Vitamin C on MCF‐7 Cells
Authors: Akyüz Aslı , Şirin Duygu YAŞAR 
Published: December 2024

ABSTRACTBreast cancer ranks among the most prevalent cancers. Enhancing the effectiveness of chemotherapy and patient survival is the objective of many studies. In the literature, no study has investigated the combined effect of vitamin c and curcumin with chemotherapy drugs on cell viability in the MCF‐7 cell line, nor the mechanism of inflammation induced by cancer drugs, both in vitro and in silico. Thus, the purpose of this study was to assess the synergistic effect of curcumin and vitamin c in combination with the chemotherapy drugs 5‐fluorouracil and doxorubicin. The cytokine hub genes of the Toll‐like receptor pathway for the administered drugs were identified using the Cytoscape program, and docking studies were conducted via the Cb Dock2 website. In silico analyses indicated that doxorubicin and curcumin displayed comparable characteristics, achieving the highest interaction scores (‐10) with marker proteins, whereas 5‐fluorouracil and vitamin c showed lower interaction scores. Cell viability was evaluated through MTT analysis and AO/PI staining, while the expression of inflammation‐related markers IL‐6, IL‐10, and TNF‐α proteins determined using the ELISA method. After 24 h, the cell viability of the chemotherapeutic drugs administered in combination with curcumin decreased by up to 28%. Subsequently, applications at 48 and 72 h were performed. These results indicate that the effect of curcumin on cell viability is significant when combined with chemotherapy drugs. In the ELISA test, a 52% expression of IL‐6 was noted in MCF‐7 cells treated with curcumin, whereas the IL‐6 level decreased to 15% in the other experimental groups. An increase was observed in the TNF‐α expression with 5‐fluorouracil and doxorubicin compared to the control, while a notable decrease was recorded in the applications with vitamin c and curcumin (p < 0.05). This study demonstrates that vitamin c and curcumin exhibit a synergistic effect with chemotherapeutic agents in the inflammatory system.
Systematic video analysis of shoulder dislocations in professional male football (soccer): Injury mechanisms, situational and kinematic patterns
Authors: Schneider Kristian Nikolaus , Schachtrup Tim , Gosheger Georg , Hiort Mirkka Lynn , Degener Blanca Julie , Zafeiris Theodoros , Theil Christoph 
Published: December 2024

AbstractPurposeShoulder dislocations in professional football are severe injuries with an increasing incidence and considerable layoff times. Unlike other football injuries, the mechanisms leading to shoulder dislocations are not well understood, which limits the development of targeted preventive measures. Thus, the aims of this study were: (1) to analyse injury mechanisms of shoulder dislocations in professional football, (2) to evaluate situational and (3) to assess kinematic patterns by performing a systematic video analysis.MethodsThe study included all shoulder dislocations occurring in official matches within Germany's top two professional male football (soccer) leagues (1. and 2. Bundesliga) from the 2012/2013 to the 2022/2023 seasons. A systematic video analysis was performed using the official Bundesliga video database. Two independent reviewers assessed injury‐related, situational and kinematic parameters.ResultsA total of 37 shoulder dislocations in 36 players (mean age 25 years) were analysed. Two primary injury mechanisms were identified: Type 1 mechanisms, caused by direct contact to the upper extremity (n = 14), and Type 2 mechanisms, caused by catching a fall (n = 22). Only one case did not fit these categories. Median layoff times were 94 days for Type 1 and 56 days for Type 2, but this difference was not statistically significant. Statistically significant differences between the two types were found in player action (p < 0.001) and type of contact (p = 0.005), while factors like player's speed, movement direction, football‐specific actions, ball possession and pitch location showed no statistically significant differences. On‐field treatment methods varied, but there were no statistically significant differences in repositioning attempts or reduction techniques (n.s.). Trunk position, shoulder joint version, shoulder elevation, and rotation, as well as elbow and wrist joint positions at the moment of dislocation, were similar between the two types (n.s.).ConclusionShoulder dislocations in professional football typically occur through direct contact or catching a fall, indicating a potential role for specific preventive measures.Level of EvidenceLevel III.
Temporal Trends of Dry Spells in Indian Meteorological Subdivisions During Southwest Monsoon 1951–2023
Authors: Soni Anil Kumar , Tripathi Jayant Nath 
Published: December 2024

ABSTRACTAmidst the backdrop of climate change, the monsoon rainfall pattern is experiencing alterations over time. A precise evaluation of monsoon rainfall distribution throughout the season is crucial for effective water management in agriculture, conducting drought assessments, and evaluating associated risks. Our study focused on analysing dry and wet spells within the Indian meteorological subdivisions over the past 73 years (1951–2023). It examines the spatial distribution of southwest monsoon rainfall and dry days, revealing a correlation between limited rainfall and extended dry periods, especially noticeable in regions like Western Rajasthan and Jammu & Kashmir. Vulnerability to drought is evident in regions with moderate monsoon rainfall and a high frequency of dry days. The study reveals that 65% of meteorological subdivisions experience over 60 dry days during the monsoon season, underscoring the need for a detailed analysis of dry day patterns. July and August are vital for Indian agriculture, as crop growth relies on consistent monsoonal rainfall; extended dry spells during this period cause moisture stress, affecting key stages like flowering and grain filling. The study reveals an alarming trend, with 44% of meteorological subdivisions showing an increase in dry days during August, and 29% exhibiting a similar trend for the overall monsoon season. The study also investigated the relationship between dry days and ENSO events, finding that Central and Northwest India are predominantly affected by moderate to strong events, resulting in a high probability of increased dry days. This increase in dry spells, driven by shifts in monsoon variability and intensity, reduces water availability during the growing season and raises the risk of crop failure. These findings emphasise the importance of implementing effective mitigation strategies to address the challenges posed by prolonged dry spells and their detrimental impact on crop yields.
Personalized deep learning auto‐segmentation models for adaptive fractionated magnetic resonance‐guided radiation therapy of the abdomen
Authors: Kawula Maria , Marschner Sebastian , Wei Chengtao , Ribeiro Marvin F. , Corradini Stefanie , Belka Claus , Landry Guillaume , Kurz Christopher 
Published: December 2024

AbstractBackgroundManual contour corrections during fractionated magnetic resonance (MR)‐guided radiotherapy (MRgRT) are time‐consuming. Conventional population models for deep learning auto‐segmentation might be suboptimal for MRgRT at MR‐Linacs since they do not incorporate manual segmentation from treatment planning and previous fractions.PurposeIn this work, we investigate patient‐specific (PS) auto‐segmentation methods leveraging expert‐segmented planning and prior fraction MR images (MRIs) to improve auto‐segmentation on consecutive treatment days.Materials and MethodsData from 151 abdominal cancer patients treated at a 0.35 T MR‐Linac (151 planning and 215 fraction MRIs) were included. Population baseline models (BMs) were trained on 107 planning MRIs for one‐class segmentation of the aorta, bowel, duodenum, kidneys, liver, spinal canal, and stomach. PS models were obtained by fine‐tuning the BMs using the planning MRI (). Maximal improvement by continuously updating the PS models was investigated by adding the first four out of five fraction MRIs (). Similarly, PS models without BM were trained ( and ). All hyperparameters were optimized using 23 patients, and the methods were tested on the remaining 21 patients. Evaluation involved Dice similarity coefficient (DSC), average () and the 95th percentile (HD95) Hausdorff distance. A qualitative contour assessment by a radiation oncologist was performed for BM, , and .Results and networks had the best geometric performance. and BMs showed similar DSC and HDs values, however models outperformed BMs. predictions scored the best in the qualitative evaluation, followed by the BMs and models.ConclusionPersonalized auto‐segmentation models outperformed the population BMs. In most cases, delineations were judged to be directly usable for treatment adaptation without further corrections, suggesting a potential time saving during fractionated treatment.
Synergies of polypyrrole and carbon nanotube on carbon fiber fabrics for improving electrochemical and mechanical properties of structural supercapacitor electrodes
Authors: Zeng Siheng , Wang Xin , Wu Zhishen , Hua Luqing 
Published: December 2024

AbstractStructural supercapacitors (SSCs) are a promising solution for reducing the weight of structures. In order to improve the electrochemical performance of carbon fiber (CF) electrodes, a new technique for carbon fiber electrodes modified with polypyrrole (PPy) and carbon nanotubes (CNTs) with friendly preparation methods was developed. The mixture of PPy and CNT produced a significant synergistic effect in increasing the capacitance of the electrode. PPy/CF electrode was optimized by adjusting parameters. The areal capacitance of the CNT‐PPy/CF electrode achieves 1789.84 mF/cm2 at a scanning speed of 10 mV/s, which is 159 times higher compared with the CF electrode. Furthermore, the CNT‐PPy/CF electrode exhibits good electrical conductivity, mechanical flexibility, and cycle stability. In terms of mechanical properties, the monofilament tensile strength of CNT‐PPy/CF is improved by 9.5% compared to CF after treatment at 550°C. In addition, the SSC was fabricated using two pieces of electrodes, the PEGDGE/EMIMTFSI/LiTFSI as the electrolyte and a piece of basalt fiber fabric as the separator. The capacitance of SSC with CNT‐PPy/CF as electrodes is 38 times higher than that with CF as electrodes, and the power density is 1.23 mW/cm−3 at the energy density of 18.36 μWh/cm−3. The results demonstrate the CNT‐PPy/CF electrode provides an excellent electrode for the high‐performance SSC.Highlights
A novel modification method for CF electrodes was developed using CNTs and PPy.
The synergistic effect of PPy and CNT is exhibited.
CNT‐PPy/CF provides excellent electrodes for the high‐performance SSC.
PPy synthesized with dopant NaSSA exhibits excellent electrochemical performance.
CNT‐PPy/CF exhibits excellent electrochemical and mechanical performance.
Prediction of Lung Adenocarcinoma Driver Genes Through Protein–Protein Interaction Networks Utilizing GenePlexus
Authors: Yuan Fei , Zhang Yu‐Hang , Huang FeiMing , Cao Xiaoyu , Chen Lei , Li JiaBo , Shen WenFeng , Feng KaiYan , Bao YuSheng , Huang Tao , Cai Yu‐Dong 
Published: December 2024

ABSTRACTLung adenocarcinoma, a subtype of lung cancer, is produced by uncontrolled proliferation of somatic cells affected by some tumorigenic factors. The origin of this disease can be attributed to the concept of “cancer driver,” which links the occurrence of tumor with specific changes in some key genes. These key genes can be identified at various molecular levels. Our innovative method uses a groundbreaking computing technology called GenePlexus to mine new genes related to lung adenocarcinoma. Initially, a vast network was synthesized from protein‐protein interactions. Utilizing GenePlexus, we traversed paths interlinking aberrant genes across different layers and pinpointed emerging candidate genes situated on these trajectories. Finally, the candidate genes that were obtained underwent a series of filtering processes, including a permutation test, interaction test, and enrichment test. Compared with the shortest path method, GenePlexus has identified previously neglected genes involved in lung adenocarcinoma. For example, genes such as EGR2, EPHA3, FGFR4, HOXB1, and HEY1 play key roles at multiple molecular levels, including methylation, microRNA, mRNA and mutation, which affect tumorigenesis and lung cancer progression. These genes regulate various processes, from gene expression and cell proliferation to drug resistance to therapeutic drugs and the progress of lung adenocarcinoma.
Optimized GRU‐Based Voltage Fault Prediction Method for Lithium‐Ion Battery Packs in Real‐Life
Authors: Shen Hongyu , Liu Yuefeng , Zhao Qiyan , Xue Guoyue , Zhang Tiange 
Published: December 2024

ABSTRACTVarious failures of lithium‐ion batteries threaten the safety and performance of the battery system. Due to the insignificant anomalies and the nonlinear time‐varying properties of the cell, current methods for identifying the diverse faults in battery packs suffer from low accuracy and an inability to precisely determine the type of fault, a method has been proposed that utilizes the Random Forest algorithm (RF) to select key factors influencing voltage, optimizes model parameters through an Improved Dung Beetle Optimization algorithm (IDBO), employs a Gated Recurrent Unit (GRU) integrated with a channel and time attention mechanism (CTAM) for voltage fault prediction, and the consistency of the voltage is measured by quantifying the predicted voltage curve based on the curve Manhattan distance, a hybrid model for predicting voltage faults in lithium‐ion battery packs has been constructed, ultimately identifying faults such as overvoltage, undervoltage, and inconsistency of the battery pack. The experimental results show that the hybrid model proposed in this study outperforms the state‐of‐the‐art techniques such as informer and transformer in voltage fault prediction by achieving MAE, MSE, and MAPE metrics of 0.009272%, 0.000222%, and 0.246%, respectively, and maintains high efficiency in terms of the number of parameters and runtime.
Enhanced Conductivity in Conjugated Microporous Polymers via Integrating of Carbon Nanotubes for Ultrasensitive NO2 Chemiresistive Sensor
Authors: He Weisi , Li Qian‐Wen , Chen Sijie , Liu He , Cheng Zhonghua , Li Shuang , Lyu Wei , Xu Gang , Chen Yong‐Jun , Liao Yaozu 
Published: December 2024

AbstractConjugated microporous polymers (CMPs) present high promise for chemiresistive gas sensing owing to their inherent porosities, high surface areas, and tunable semiconducting properties. However, the poor conductivity hinders their widespread application in chemiresistive sensing. In this work, three typical CMPs (PSATA, PSATB, and PSATT) are synthesized and their chemiresistive gas sensing performance is investigated for the first time. To further improve performance, PSATT are modified on the surface of amino‐functionalized multi‐walled carbon nanotubes (NH2‐MWCNTs) to improve the conductivity. As a result, the obtained material, PSATT‐7NC exhibited a high sensitivity of 9766% toward 4 ppm NO2, which is 2.5 times higher than that of pristine PSATT. It also demonstrated remarkable selectivity and excellent long‐term stability. Furthermore, the lowest limit of detection (0.79 ppb) among all polymers‐based sensors is achieved at a low operating temperature of 100 °C. This work provides a valuable strategy into the development of a new material platform for advancing high‐performance gas sensing applications.
Toward Automated DNA Nanoprinting: Advancing the Synthesis of Covalently Branched DNA
Authors: Zhao Fangzhou , Saliba Daniel , Asohan Jathavan , Sleiman Hanadi F. 
Published: December 2024

AbstractCovalently branched DNA molecules are hybrid structures where a small molecule core is covalently linked to different DNA strands. They merge the programmability of DNA nanotechnology with synthetic molecules’ functionality, offering enhanced stability over their non‐covalent counterparts like double‐crossover tiles. They enable the efficient assembly of stable DNA nanostructures with new geometries and functionalities. These motifs can be prepared through “DNA printing”, which uses a DNA nanostructure as a temporary template to covalently transfer specific DNA strands to a small molecule core. Here, the “printing” process is streamlined with DNA‐immobilized polystyrene microspheres, laying the foundation for future automated DNA printing devices. First, the DNA template hybridizes with reactive complementary strands, which are then crosslinked using a small molecule. Second, beads with fully complementary molecules capture the “daughter” products by strand displacement. This ensures high product yields and high recovery of the “mother” template for reuse. This method allows the precise transfer of different DNA strands onto various small molecules, including aromatics and functional porphyrins. Notably, these branching motifs exhibit remarkable stability toward nucleases without any specialized modifications. Moreover, they can serve as robust building blocks for precise assembly of 3D structures, such as an addressable tetrahedron from only two components.
Preparation Optimization by Response Surface and Performance Characterization of a New Starch‐Based Adhesive
Authors: Chen Guang , Zhao Wenguang , Deng Songling , Liu Zhimin , Chen Qi‐jie 
Published: December 2024

ABSTRACTIn this study, a new kind of green, pollution‐free, and renewable starch‐based adhesive (CP‐dialdehyde starch [DSt]) was prepared by using corn starch as raw material, which was oxidized into DSt by sodium periodate, grafted with chitosan, and cross‐linked with polyethylene glycol 200 (PEG‐200). The preparation parameters of CP‐DSt adhesive were optimized by response surface methodology, and it was characterized by Fourier transform infrared spectroscopy (FTIR), x‐ray diffraction (XRD), scanning electron microscope (SEM), and x‐ray spectroscopy (EDAX). The results showed that when the PEG‐200 dosage was 53% (w/w, dry starch basis), the dosage of chitosan was 15.2% (w/w, dry starch basis), the reaction time was 2.4 h, and the reaction temperature was 41°C, the comprehensive properties of the adhesive were better. The dry shear strength of the CP‐DSt adhesive can reach 3.04 MPa. When the adhesive was used to bond paper‐based materials, the tensile index increased from 21.21 to 24.65 N m/g, an increase of 16.22%; the tear resistance index increased from 1.75 to 2.03 kPa m2/g, an increase of 16.0%; the ring pressure index increased most significantly, increasing by 30.28%. The SEM analysis showed that the bonding strength of CP‐DSt adhesive was greater than the internal bonding strength of the boxboard, and the water contact angle was 45.9°, indicating that CP‐DSt adhesive also had a certain hydrophobicity. This paper provided a new idea for the preparation of the high‐quality starch‐based adhesive, which had a wide application prospect in paper adhesive.
The Mediating Role of HRM Outcomes in the Relationship Between Managerial Staff Development and Company Performance Results: A Contextual Study of MNCs in Central Europe
Authors: Stor Marzena 
Published: December 2024

ABSTRACTThe main goal of the article is to determine the mediating role of human resources management (HRM) outcomes in the relationships between managerial staff development (MSD) and company performance results in multinational companies (MNCs) and to establish whether there are any identifiable regularities in this scope in four types of contexts, that is, the pre‐pandemic and pandemic period in the headquarters (HQs) and foreign subsidiaries of MNCs. This article presents an innovative approach to analyzing the relationship between these variables. To capture the actual relationships, the efficiency index was introduced which makes a novelty in the studies on management of MNCs. Additionally, the empirical research was conducted in MNCs established in Central Europe, which is not a frequent subject of research. The research findings show that in the foreign subsidiaries of MNCs, during a pandemic, the results in HRM mediate the relationships between MSD and company's performance results in finance, innovativeness, and quality stronger than in the pre‐pandemic time. As for the HQs during the pandemic, this mediation effect was stronger when innovativeness was considered, stayed the same for quality, and decreased for finance.