Detailed Time-resolved Spectral and Temporal Investigations of SGR J1550–5418 Bursts Detected with Fermi Gamma-Ray Burst Monitor by Mustafa Demirer, Ersin Göğüş, Yuki Kaneko, Özge Keskin, Sinem Şaşmaz, Shotaro Yamasaki

“…Our analysis utilizes a two-step methodology for temporal segmentation of the data. …”
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A pilot randomized trial comparing face-to-face and internet-based unified transdiagnostic treatment for adolescents with anxiety and depressive disorders in Iran by Nasim Mousavi, Fereshteh Momeni, Abbas Pourshahbaz, Hamid Poursharifi, Zahra Daneshian, Gerhard Andersson, Gerhard Andersson

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Fibroblast growth factor receptor risk signature predicts patient prognosis and immunotherapy resistance in colorectal cancer by Xiaofang Li, Zhiling Pan, Zhiling Pan, Tiankuo Luan, Qian Xiao, Liuying Li, Qianxue Wu, Guoqing Yao, Xiang Zhang, Daqiang Song

“…BackgroundFibroblast Growth Factor Receptor (FGFR) signaling is linked with tumor progression and tumor immunoevasion, yet the potential effect of FGFR signature on the prognosis of patient with colorectal cancer (CRC) and response to immune therapy remains elusive.MethodsThe fibroblast growth factor receptor risk signature (FRS) was identified through single-cell RNA sequencing, bulk RNA sequencing, and machine learning techniques. Signaling enrichment analyses were conducted using Gene Set Enrichment Analysis (GSEA) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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The role of operating room educational climate in the moral distress of operating room technology students: A cross-sectional study by Nasrin Kamali, Zakiyeh Amini, Farkhonde Asadi, Sara Mohammad, Kasra Khatib, Sepideh Gholami

“…To collect information, we used three questionnaires: one for demographic information, one for IMOTEC, and one for moral distress. We analyzed the data using independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient, as well as multiple linear regression analysis at a 95% confidence level using SPSS 26 software. …”
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Refreshing medical students’ intravenous-cannulation skills: a blinded observer three-arm randomised comparison of mental imagery, part-task trainer simulation and written instruct... by Robert Greif, Joana Berger-Estilita, Rafael Blülle, Daniel Stricker, Mathias Balmer, Christoph Berendonk

“…We performed a descriptive analysis of the data and a one-way analysis of variance. …”
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From Policy to Prices: How Carbon Markets Transmit Shocks Across Energy and Labor Systems by Cristiana Tudor, Aura Girlovan, Robert Sova, Javier Sierra, Georgiana Roxana Stancu

“…This paper examines the changing role of emissions trading systems (ETSs) within the macro-financial framework of energy markets, emphasizing price dynamics and systemic spillovers. Utilizing monthly data from seven ETS jurisdictions spanning January 2021 to December 2024 (N = 287 observations after log transformation and first differencing), which includes four auction-based markets (United States, Canada, United Kingdom, South Korea), two secondary markets (China, New Zealand), and a government-set fixed-price scheme (Germany), this research estimates a panel vector autoregression (PVAR) employing a Common Correlated Effects (CCE) model and augments it with machine learning analysis utilizing XGBoost and explainable AI methodologies. …”
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Transforming narratives of physician identity formation and healing: a longitudinal qualitative study of physicians’ stories about spirituality and medicine, from residency to prac... by Gowri Anandarajah, Georgia Sleeth, Meera Mennillo, Achutha Srinivasan

“…Analysis: 4 researchers analyzed 204 stories from 66 interviews with 34 physicians, using grounded theory. …”
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Insights and interventions for improving cultural humility towards Asian American, Native Hawaiian and Pacific Islander populations in medical curricula: a qualitative case study by Sandra Kong, Nathan Irvin, Connie Cai, Carolyn Im, Ethan Mondell, Thomas K Le, Shari M Lawson

“…The authors then conducted virtual semistructured interviews with eight medical educators one-on-one to explore the feasibility of the proposed interventions. Data were analysed using qualitative thematic analysis, and analysis was performed with ATLAS.ti.Setting Medical students and medical educators based at medical institutions in the USA.Participants 15 medical students and eight medical educators participated in the study.Results All medical students (n=15) and educators (n=8) noted that there is limited engagement of AANHPI communities in current medical curricula and limited curricular components that address the diversity within the AANHPI umbrella. …”
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The Impact of Rural Digital Economy Development on Agricultural Carbon Emission Efficiency: A Study of the N-Shaped Relationship by Yong Feng, Shuokai Wang, Fangping Cao

“…Based on provincial-level panel data from China spanning 2011 to 2022, this study examines the relationship between the rural digital economy and agricultural carbon emission efficiency, along with its underlying mechanisms, using bidirectional fixed effects models, mediation effect analysis, and Spatial Durbin Models. …”
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Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study by Siyu Wang, Jingyan Liu, Linlin Song, Haina Zhao, Xue Wan, Yulan Peng

“…Tumors were segmented using a U-Net-based deep learning model with radiologist adjustment, and radiomic features were extracted via PyRadiomics. …”
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Adaptive governance in the water-energy-food-ecosystem nexus for sustainable community sanitation by Evi Siti Sofiyah, Imelda Masni Juniaty Sianipar, Ari Rahman, Naila Putri Caesarina, Sapta Suhardono, I Wayan Koko Suryawan, Chun-Hung Lee

“…The study conducts an in-depth analysis of adaptive capacities by identifying critical components such as assets, flexibility, organization, learning, and agency as fundamental elements of adaptive governance in sanitation practices. …”
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Vegetation Baseline and Urbanization Development Level: Key Determinants of Long-Term Vegetation Greening in China’s Rapidly Urbanizing Region by Ke Zeng, Mengyao Ci, Shuyi Zhang, Ziwen Jin, Hanxin Tang, Hongkai Zhu, Rui Zhang, Yue Wang, Yiwen Zhang, Min Liu

“…We combined Mann-Kendall trend analysis with machine—learning based attribution analysis to look into vegetation changes across different city types and urban—rural gradients. …”
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Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

“…Objective The aim of this study is to develop, implement the precise reservation path (PRP) and investigate its prediction function for scheduling shunting patients for specialist appointment registration in Shanghai, China.Design The PRP system was built on the hospital’s existing information system, integrated with WeChat (WeCom) for user convenience. The outcome analysis employed a mixed-methods approach, integrating quantitative analysis with statistical and machine learning techniques, including multivariate logistic regression, random forest (RF) and artificial neural network (ANN) analysis.Setting This study was conducted at Renji Hospital, a premier general tertiary care institution in Shanghai, China, where the innovative PRP system was implemented. …”
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EDITORIAL by Ivan Čuk

“…We were entered into the ProQuest data base, we are still testing SchoolarOne Manuscript Software, and we have a new editorial board member – Koichi Endo from Japan. …”
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Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

“…Utilizing multisource data and three machine learning models, we estimated soil organic carbon (SOC) content in southwest China. …”
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Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens by Insuck Baek, Jishnu Bhatt, Jae Hee Jang, Seunghyun Lim, Amelia Lovelace, Minhyeok Cha, Dilip Lakshman, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

“…Multivariate statistics and machine learning were employed to analyze interaction dynamics and predict outcomes. …”
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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and I... by Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim, Hyun Joo Shin, Jeong-Ho Kim, Ji-Hoon Na, Chae Jung Park, Beomseok Sohn

“…Recently, radiomics has emerged as a revolutionary technique that uses mathematical algorithms to extract various features for the quantitative analysis of medical images. ObjectiveThis study aimed to develop a machine learning–based model using sella MRI–based radiomics and clinical parameters to diagnose GHD and ISS. …”
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A novel outreach approach for identification of familial hypercholesterolemia: Interview-based formative evaluation to improve healthcare access and quality by Rachel C. Forcino, Terry Sturke, Mary P. McGowan, Amanda N. Perry, Shoshana H. Bardach, Vikrant S. Vaze, Kerrilynn C. Hennessey

“…Innovation: This study provides key insights into the acceptable design and use of machine learning and electronic health record data for direct-to-patient outreach. …”
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Dairy intake and cognitive function in older adults in three cohorts: a mendelian randomization study by Natalia Ortega, Nick J. Mueller, Abbas Dehghan, Tosca O. E. de Crom, Armin von Gunten, Martin Preisig, Pedro Marques-Vidal, Marco Vinceti, Trudy Voortman, Nicolas Rodondi, Patricia O. Chocano-Bedoya

“…Similarly, lactase persistent participants in CLSA had higher verbal fluency, verbal learning and executive function, but no differences were found in the other cohorts. …”
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Enhancing fibroblast–epithelial cell communications: Serpine2 as a key molecule in Fusobacterium nucleatum–promoted colon cancer by Xueke Li, Xueke Li, Simin Luo, Yifang Jiang, Qiong Ma, Fengming You, Fengming You, Qixuan Kuang, Xi Fu, Chuan Zheng

“…Differentially expressed genes of cells with different proportions were extracted and intersected with those identified in the bulk RNA-seq analysis. Three machine learning algorithms were employed to identify characteristic genes. …”
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