Anxiety, depression, and their association with unintentional injury risk among older adult populations in Guangxi, China: a cross-sectional study by Li Niu, Jie Zhang, Chun-liu Lu, Yong Zhang, Xin-xin Mo, Rong Xu, Hong-ye Luo

“…This study aims to explore the association between anxiety and depression and UI risk among the older adult in Guangxi, China, using data from the 2023 National Health Service Survey.MethodsA cross-sectional design was employed, analyzing data from 2,894 participants aged 60 and above in Guangxi. …”
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Downregulated mRNA Expression of ZNF385B Is an Independent Predictor of Breast Cancer by Ning Yan, Cong Liu, Fang Tian, Ling Wang, Yimin Wang, Zhaoying Yang, Yan Jiao, Miao He

“…Data from the Gene Expression Omnibus (GEO) database were employed to validate the results of TCGA. Protein expression of ZNF385B in BC patient specimens was detected by immunohistochemistry (IHC) staining. …”
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Association between domain-specific physical activity and triglyceride‑glucose (TyG) index among US adults: Evidence from NHANES 2007–2018 by Kai Yao

“…Furthermore, stratified and mediation analyses were employed to assess the potential effect modifications and mediators on the association. …”
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Experimental study on strength degradation and meso-structural characteristics of saturated sandstone under freeze-thaw cycles by Haotian XIE, Ying XU, Qiangqiang ZHENG, Meilu YU, Shoudong XIE, Chengjie LI

“…Moreover, nuclear magnetic resonance and scanning electron microscopy techniques were employed to examine changes in internal pores and morphologies of the saturated sandstone before and after freeze-thaw, analyze the evolution patterns of porosity, microstructure characteristics, and static compression strength of saturated sandstone under freeze-thaw conditions and establish a predictive model for the strength degradation of saturated sandstone over freeze-thaw cycles. …”
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Newborn morbidities and care procedures at the special newborn care units of Gandaki Province, Nepal: a retrospective study by Khim Bahadur Khadka, Nabina Koirala, Olena Ivanova, Ramchandra Bastola, Dela Singh, Kamala Rana Magar, Bidhya Banstola, Ramesh Prasad Adhikari, Vincentas Giedraitis, Deepak Paudel, Guenter Froeschl

“…A structured questionnaire was employed to collect data on socio-demographic, clinical, and outcome variables in 1,355 newborns admitted to the Special Newborn Care Unit (SNCU) between May 1, 2021, and April 30, 2022, in five hospitals within the Gandaki Province. …”
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Deciphering salt-responsive NB-ARC genes in rice transcriptomic data: A bioinformatics approach with gene expression validation by Saputro Triono Bagus, Wardhani Fila Oxi, Sholihah Nur Fadlilatus, Ermavitalini Dini, Purnama Putut Rakhmad, Nurhidayati Tutik

“…Real-time polymerase chain reaction was employed to determine the gene expression for validation. …”
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A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…MethodsFirst, the first-level detection was completed using the YOLOv8n algorithm, which, combined with the ResNet34 and PP-OCRv4 algorithms via parallel cascade, was then employed to conduct second-level processing. Through the above processing and in combination with the method for classification status discrimination based on tracking frame numbers, the framework of an algorithm for automatically calculating the quantity of coals flushed out was established. …”
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The clinical application and anatomical analysis of proximal peroneal artery perforator in free fibula flap based on CTA by Yitong Zhao, Danwei Xiang, Lina Song, Zhujiajun Cui, Xingwu Zheng, Tianyu Zhang, Huihui Yang, Yongzhen Fu, Qilin Liu

“…However, complications may arise if these distal perforators are either absent or damaged during surgical procedures, highlighting the necessity to employ the proximal peroneal perforators as an alternative. …”
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Impact of measles vaccination strategies on vaccination rates in low-income and middle-income countries: a systematic review and meta-analysis by Andrew Hayen, Kiddus Yitbarek, Mirkuzie Woldie, Firew Tekle Bobo, Jane Frawley, Abela Mahimbo, Meru Sheel

“…A random-effects model was employed for the meta-analysis.Results We identified 44 articles, of which 14 were included in the meta-analysis. …”
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Associations of dietary oxidative balance score with sarcopenia in adults: an NHANES-based cross-sectional study by Qiang Zhou, Shang Zhou, Zuo-xi Chen, Wu-jie Zhou, Jia Su, Yong Wang

“…The participants were selected from geographic locations across all 50 states and the District of Columbia, using a stratified, multistage probability sampling design to collect health and nutritional data representative of the civilian, non-institutionalized U.S. population. We employed the generalized additive model to identify potential non-linear relationships and utilized the two-piecewise linear regression model to investigate the association between DOBS and sarcopenia in American adults. …”
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Impact of acupuncture on mortality in patients with disabilities and newly diagnosed heart failure: a nationwide cohort study by Hyungsun Jun, Dasol Park, Jae-Uk Sul, Moon Joo Cheong, Haerim Kim, Inae Youn, Jungtae Leem, Jungtae Leem, Jungtae Leem

“…Cox proportional hazard models were employed to calculate hazard ratios (HRs) and confidence intervals (CIs). …”
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Photosynthetic Pigments with Potential for a Photosynthetic Antenna: A DFT Analysis by Jesús Francisco Monzón-Bensojo, Manuel A. Flores-Hidalgo, Diana Barraza-Jiménez

“…CRDFT (chemical reactivity density functional theory) and TD-DFT (time-dependent DFT) methods were employed in ground-state and excited-state calculations, respectively. …”
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The Risk of Escalating Cyberattacks and Financial Fraud During Wartime: The Maturity of The County's Judicial System in Combating Cyber and Financial Crimes by Hanna Yarovenko, Iryna Pozovna, Roman Bylbas

“…Using data from the General Prosecutor's Office of Ukraine (2014–2024), the study employs quantitative analyses, including maturity index calculations, trend assessments, and lag analysis through statistical modelling. …”
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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…The proposed AADRR is more suitable for periodic tasks that employ a dynamic scheduling system and adapt time quantum according to the system state and job features. …”
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Impact of pathological complete response on survival in gastric cancer after neoadjuvant chemotherapy: a propensity score matching analysis by Yonghe Chen, Jiasheng He, Jiabo Zheng, Yi Lin, Huashe Wang, Lei Lian, Junsheng Peng

“…Propensity score matching (PSM) was employed to minimize potential biases arising from differences in baseline characteristics and intervention factors between the treatment groups. …”
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Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region by Paritt Wongtrakool, Chanon Puttanawarut, Pimolpun Changkaew, Supakiet Piasanthia, Pareena Earwong, Nauljun Stansook, Suphalak Khachonkham

“…Materials and methods StarGAN and CycleGAN were employed in this study. The dataset comprised 53 cases of pelvic cancer. …”
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An Experience of Jigsaw as a New Educational Method in Dentistry by Atekeh Movaghari pour, Mostafa Sadeghi, Foad Iranmanesh, Fatemeh Sadat Emami, Faezeh Esmaeili Ranjbar

“…Background: Considering that simply relying on conventional education methods no longer suffices, educational systems have attempted to employ novel and active learning methods in their curriculum.  …”
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An Analysis of the Vocational-Educational Problematics for Substantiating Production Specialist Competencies by V. E. Steinberg, L. V. Vakhidova, E. M. Gabitova

“…Today, the system of secondary vocational education (SVE) is faced by a multi-factorial problem: the training of qualified specialists, taking into account approved federal unified standards; the fulfillment of potential employers’ requirements, which often do not coincide with these standards; and the determination of rapid responses to continuous changes in labour market conditions, i. e. the requirement for a qualitative human resources upgrade in regional production clusters and holding companies, as well as numerous small enterprises.The aim of the research was to develop a methodology for analysing vocational-educational problematics. …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…To this end, we develop ECG-Language Model (ECG-LM), the first multi-modal large language model able to process natural language and understand ECG signals. The model employs a specialized ECG encoder that transforms raw ECG signals into a high-dimensional feature space, which is then aligned with the textual feature space derived from the large language model. …”
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Galileo multi-day precise orbit determination using L-band and SLR data by Tianhe Xu, Honglei Yang, Song Li, Zhenlong Fang, Wenfeng Nie, Min Li, Baoguo Yu

“…To explore the rationality and reliability of the L-band and satellite laser ranging (SLR) data processing strategies, we design the Galileo L-band, the SLR-only, and the combined L-band/SLR dynamic precise orbit determination (POD) strategies by using the normal equations (NEQs) stacking, and investigate their continuity and stability by employing the Galileo L-band data and SLR observations for the time span of the whole year of 2023, based on the BeiDou/GNSS analysis center platform of Shandong University by using the modified Bernese GNSS Software Version 5.4. …”
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