Interlaboratory variability of HER2 fluorescence in situ hybridization testing in breast cancer: results of a multicenter proficiency-testing ring study in China by Rongxue Peng, Kuo Zhang, Guigao Lin, Jinming Li

“…Methods A total of ten samples, each exhibiting distinct HER2 signal patterns and genetic heterogeneity, were distributed to 169 laboratories for HER2 FISH analysis. …”
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The Heights spatial characteristics of buildings in Tanzania and its impact on spatial urban growth. by Paulo Kitosi, Ramadhani Tekka, David Mwipopo

“…Additionally, a detailed examination of Building Statistics from the 2022 National Census was conducted to identify patterns and implications. The data analysis reveals that single-story buildings dominate the urban landscape of major cities, accounting for an average of 91.3% of all buildings. …”
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Predicting future brand value: The role of machine learning monitoring by Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani

“…These findings demonstrate the effectiveness of machine learning in identifying predictive patterns relevant to brand performance and provide a practical framework for leveraging digital tools to enhance brand valuation strategies. …”
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The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

“…These findings may provide new insights into therapeutic monitoring and prognosis evaluation.…”
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Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Key methodologies included differential gene expression analysis, weighted gene co-expression network analysis, functional enrichment studies, immune landscape evaluation, and multi-dimensional risk stratification. …”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

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A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China by Yifei Xu, Chi Li

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Prognostic Impact of Phenotypic and Genetic Features of Pancreatic Malignancies by Mikhail B. Potievskiy, Lidia A. Nekrasova, Ivan V. Korobov, Ekaterina A. Bykova, Ruslan I. Moshurov, Pavel V. Sokolov, Peter A. Shatalov, Natalia A. Falaleeva, Leonid O. Petrov, Vladimir S. Trifanov, Sergey A. Ivanov, Peter V. Shegai, Andrei D. Kaprin

“…The pathomorphological and genetic characteristics of pancreatic cancer, reflected in morphological, immunohistochemical, and serological marker expression, reveal key patterns of tumor genotypic changes during carcinogenesis, aiding in prognostic evaluation and clinical strategy development. …”
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Bridging the Gap: The State of Global Transplant Research Collaboration by Isabella Faria, MD, Stalin Canizares, MD, Adriana Montalvan, MD, MPH, Paulo N. Martins, MD, PhD, Griffin M. Weber, MD, PhD, Marwan Kazimi, MD, Devin E. Eckhoff, MD

“…Through a comprehensive bibliometric and network analysis of 5 high-impact factor transplantation journals from 2012 to 2021, we evaluated scientific production and collaboration patterns in 9 250 articles. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

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Comprehensive Analysis of N6-Methyladenosine (m6A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophagea... by Duanrui Liu, Mingjie Yuan, Zongming Wang, Liping Sun, Yusong Fang, Xiaoli Ma, Lulu Zhang, Yuanxin Xing, Jingyu Zhu, Yunyun Liu, Wenshuai Zhu, Shuqin Bao, Yanfei Jia, Yunshan Wang

“…RNA N6-methyladenosine (m6A) modification plays a non-negligible role in shaping individual tumour microenvironment (TME) characterizations. However, the landscape and relationship of m6A modification patterns and TME cell infiltration features remain unknown in GEA. …”
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Analysis of the evolution and influencing factors of ecological environment quality after the transformation of resource-exhausted cities based on GEE and RSEI: a case study of Xuz... by Kai Jiao, Xinqin Yong, Shenghong Mao, Kaiyi Chen

“…This study analyzed the spatiotemporal features and drivers of ecological environment quality after Xuzhou’s transformation using landscape pattern index, spatial autocorrelation, and geographic detector methods. …”
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Impact of urbanization on hydrological balance in urban lakes: a case study of Dianchi Lake by Chen Chen, Mowen Xie, Yan Du, Beining Jia

“…Abstract Urbanization can significantly transform land-cover patterns and modify lacustrine landscapes within urban lake watersheds over relatively short periods. …”
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Advances in gait research related to Alzheimer’s disease by Shuding Yan, Xiaoping Yun, Qiang Liu, Zhenmei Hong, Yufan Chen, Shuijing Zhang

“…In the future, it is hoped that with the results of clinical manifestations, neuroimaging, and electrophysiology, simple and objective gait analysis results can be used as an alternative biomarker for cognitive decline to diagnose dementia early.Research objectiveThis research offers a comprehensive scoping review of the contemporary landscape of clinical gait evaluation. It delineates the pertinent concepts of gait analysis and machine learning in AD and elucidates the intricate interplay between gait patterns and cognitive status.MethodsA comprehensive literature search was conducted within PubMed for all articles published until march 18, 2024, using a set of keywords, including “machine learning and gait “and “gait and Alzheimer.” original articles that met the selection criteria were included.Results and significanceA strong correlation exists between autonomous gait and cognitive attributes, necessitating further investigation into the selective interplay between gait and mental factors. …”
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Navigating child and adolescent mental health in the digital age by Giorgia Di Iorio, Dario Esposito, Sara Romano, Fabiola Panvino, Benedetta Altomonte, Giulia Conte, Maria Pia Casini, Arianna Terrinoni, Dario Calderoni, Romana Andò, Walter Quattrociocchi, Benedetto Vitiello

“…This article examines the importance of systematically assessing SM use as part of a comprehensive psychiatric evaluation for young individuals. Key factors to consider include the type, content, and purpose of SM use, as well as daily usage patterns and overall screen time. …”
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On the move: Influence of animal movements on count error during drone surveys by Emma A. Schultz, Natasha Ellison‐Neary, Melanie R. Boudreau, Garrett M. Street, Landon R. Jones, Kristine O. Evans, Raymond B. Iglay

“…A  awnmower pattern with 0% overlap produced the most accurate count of a solitary, moving animal on a landscape (average count of 1.1 ± 0.6) regardless of the animal's movement pattern and speed. …”
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Harnessing digital dividends: A systematic review of ICT initiatives for transformation in Tanzanian agriculture by Victor George

“…Overall, coordinated multi-stakeholder action is needed to strengthen Tanzania's agricultural ICT landscape, fostering inclusive and sustainable transformation.…”
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On the Road to Safety: Examining Children’s Cycling Skills and Physical Activity Levels by Juliane Stark, Michael Meschik

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Reformulation of ultra-processed products in Colombia after the introduction of public health regulations by Elisa M. Cadena, Irieleth Gallo, Victoria Eugenia Soto

“…Additionally, the team evaluated the use of FOPL based on established thresholds. …”
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Microenvironments’ Fine-Scale Influence on Amphibian Communities in Chengdu Plain by Xiaoqin Shi, Zhiyu Dong, Xiaoke Liu, Ziyan Liao, Yongbin Wu, Youhua Chen

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