‘Do they care?’: a qualitative examination of patient perspectives on primary care clinician communication related to opioids in the USA by Leif I Solberg, Katrina M Romagnoli, Anthony W Olson, Andrei Bucaloiu, Clayton I Allen, Lorraine D Tusing, Hillary A Henzler-Buckingham, Christina M Gregor, Laura A Freitag, Stephanie A Hooker, Rebecca C Rossom, Eric A Wright, Irina V Haller

“…Objectives This substudy’s objectives were to (1) examine the transferability of a four archetype framework (simplified pattern of prototypical features) for patients at high risk for opioid use disorder (OUD) developed from a previous study with a similar population; (2) explore how patient preferences for terminology can inform clinician communication strategies for patients with OUD across archetypes and (3) explore how patient perceptions of opioid risks can inform clinician communication strategies across patient archetypes.Design This qualitative study collected data via semistructured phone interviews with patients about views on opioid-related discussions with primary care clinicians. …”
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Toward precision oncology in LUAD: a prognostic model using single-cell sequencing and WGCNA based on a disulfidptosis relative gene signature by Panpan Li, Han Zhang, Limin Sun, Xiaojuan Wu

“…Immune response characteristics and functional enrichment patterns were further evaluated in these cohorts.ResultsOur study delved into disulfidptosis in LUAD through a series of analyses: scRNA-seq data processing, WGCNA analysis, construction of a prognostic model, evaluation of clinical features and risk, enrichment analysis, mutation landscape assessment, and examination of the tumor microenvironment. …”
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Immune intrinsic escape signature stratifies prognosis, characterizes the tumor immune microenvironment, and identifies tumorigenic PPP1R8 in glioblastoma multiforme patients by Ran Du, Lijun Jing, Denggang Fu

“…Immune cell infiltration analysis revealed distinct patterns in high- and low-risk groups, with the high-risk group showing a more aggressive and immunosuppressive tumor microenvironment. …”
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Data Dashboard Acceptability, Use, and Perceived Effectiveness in Disseminating Local Overdose Data and Resources in a Rural New York State County: A Cross-Sectional Study by Zhongxuan He, Monika Salvage, Corinna A Noel

“…The 10-minute survey assessed usage patterns and motivations to access the dashboard as well as the dashboard’s ease of use, most valued design features, and overall perceived effectiveness in communicating information on overdoses and local resources. …”
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Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…Multimodal clustering suggested three distinct subgroups, which transcended diagnostic boundaries, showing separate cortical patterns but similar clinical and cognitive profiles. …”
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Slowness and sparseness lead to place, head-direction, and spatial-view cells. by Mathias Franzius, Henning Sprekeler, Laurenz Wiskott

“…The type of cells that develops depends solely on the relevant input statistics, i.e., the movement pattern of the simulated animal. …”
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Successful local treatment for repeated hepatic recurrences of cholangiolocellular carcinoma: a report on a long-term survivor by Kentaro Shinohara, Tomoki Ebata, Yukihiro Yokoyama, Tsuyoshi Igami, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Yoshie Shimoyama, Shuichiro Shiina, Ryosuke Tateishi, Toru Arano, Masato Nagino

“…The tumor was composed of small gland-forming cells proliferating in an anastomosing pattern; the cell membrane was strongly immunoreactive for epithelial membrane antigen. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Deformation serves as a direct indicator of slope stability, making the analysis of deformation patterns and trends essential for assessing stability. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

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Characterization and prognostic of CD8 + TIM3 + CD101 + T cells in glioblastoma multiforme by Hong-Liang Wang, Sai Li, Chun-Chun Ma, Xiang-Hu Zheng, Hao-Yuan Wu, Chen-Xi Chang, Zhi-Hao Yang, Jia-Wei Wang, Fa-Ming Pan, Bing Zhao

“…Pseudotime analysis indicated CD8 + TIM3 + CD101-T cells as precursors to CCT cells, unveiling unique gene expression patterns during this transition. The prognostic model, incorporating 22 gene features via LASSO regression, demonstrated strong predictive ability through Receiver Operating Characteristic (ROC) curves. …”
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Ecological portraits: Mapping functional spectra and space characteristics of birds in China by Fei Duan, Ming Gao, Shuyi Zhu, Xiaoli Shen, Sheng Li

“…The results showed that birds in China exhibited a clustered distribution pattern within the functional spectra and spaces. …”
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Marketing research of the attractiveness of universities by A. Sukha, J. Kripka, A. Bezmenko, N. Chupryna, V. Sazonova, O. Chernysheva

“…In this article we examined the patterns and features of choosing a university by applicants. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…Future enhancements may include integration with artificial intelligence technologies such as machine learning and deep learning to predict health conditions from data patterns, further improving the system's capabilities and effectiveness in elderly care.…”
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Spatial transcriptomic analysis across histological subtypes reveals molecular heterogeneity and prognostic markers in early‐stage lung adenocarcinoma by Hua Geng, Wenhao Zhou, Haitao Luo, Jiaqian Wang, Shixiong Li, Congcong Song, Yujie Zhao, Meilin Xu

“…ABSTRACT Background The progression and prognosis of early‐stage lung adenocarcinoma are closely associated with histologic subtypes, yet the presence of mixed histologic patterns often complicates prognostic assessment. Currently, the correlation between molecular and histologic features remains poorly understood. …”
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Remote sensing techniques to assess badlands dynamics: insights from a systematic review by Rosa Colacicco, Marco La Salandra, Isabella Lapietra, Alberto Refice, Domenico Capolongo

“…Badlands are typical landforms that develop on unconsolidated sediments or poorly consolidated bedrock, with bare or sparse vegetation, generally characterized by high rates of erosion. …”
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A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer by Chenxi Lv, Tianwei Chen, Jiangtao Li, Yuqiang Shan, Hong Zhou

“…Methods Consensus clustering was utilized to classify GC patients into distinct immune states, followed by an in-depth analysis of differences in mutation profiles, copy number variations, and DNA methylation patterns. Weighted gene co-expression network analysis (WGCNA) and correlation analysis were applied to identify gene modules underlying the classification of immune “hot” and “cold” tumors. …”
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Investigation of bivariate particle size-density classification and quality differentiation of coal gasification fine slag by Xu SHI, Lili LIU, Mo CHU, Suqian GU, Jianfei DONG, Yanyu LIU

“…This study investigates the particle size-density classification characteristic of typical GSP entrained-flow coal gasification fine slag. The distribution patterns of residual carbon, macroscopic morphology of ash samples, micro-morphology of particles, and pore structure characteristics are systematically investigated by loss on ignition analysis, XRD mineral analysis, SEM morphology analysis, and N2 gas adsorption. …”
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The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…The management strategies are developed based on EBM-DPSER model and trade-off analysis of wetland ecosystem services.The most important management strategies include the following: - Preparation of the wetland land use map and zoning of the wetland to appropriate and allowed areas for human activities; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Establishing a legal mechanism for allocating the right of water wetland from the upstream rivers and restoring the wetland share of the agricultural, industrial and energy sectors; - Identifying the main sources of dust and developing biomechanical and bioengineering plans using the existing capacities in the province, especially attracting local people's participation. 4-Conclusion The proposed framework has gone beyond the traditional approaches to assessing and managing wetlands, which have not yet been effective and are not based on the understanding of the structure and functions of wetlands. …”
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Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

“…A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…Potassium (K), a critical macronutrient for the growth and development of Korla fragrant pear (Pyrus sinkiangensis Yu), plays a pivotal regulatory role in sugar-acid metabolism. …”
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