Transdisciplinary Approach in Palliative Care MDT Meetings – A Way Forward by Annum Ishtiaq

“…These meetings yield evidence-based care plans developed by a diverse group of specialists, minimizing variations in practice patterns, and efficiently utilizing healthcare resources. …”
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Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

“…These metrics collectively demonstrate CP-PaCMAP’s superior ability to retain meaningful biological patterns compared to other state-of-the-art dimensionality reduction techniques, making it an invaluable tool for advancing single-cell transcriptomic analysis.…”
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Complex Variation in Afrotropical Mammal Communities With Human Impact by Deogratias Tuyisingize, Lars Kulik, Delagnon Assou, Diorne Zausa, Solange Kamga, Onella Mundi, Stefanie Heinicke, Inza Kone, Samedi Jean Pierre Mucyo, Tenekwetche Sop, Christophe Boesch, Colleen Stephens, Anthony Agbor, Samuel Angedakin, Emma Bailey, Mattia Bessone, Charlotte Coupland, Josephine Head, Tobias Deschner, Paula Dieguez, Villard Ebot Egbe, Anne‐Céline Granjon, Thurston Cleveland Hicks, Sorrel Jones, Ammie K. Kalan, Kevin E. Langergraber, Juan Lapuente, Kevin C. Lee, Laura K. Lynn, Nuria Maldonado, Maureen S. McCarthy, Amelia Meier, Lucy Jayne Ormsby, Alex K. Piel, Lilah Sciaky, Volker Sommer, Fiona A. Stewart, Erin G. Wessling, Jane Widness, Roman M. Wittig, Pauline Strohbach, Mimi Arandjelovic, Yntze van derHoek, Hjalmar S. Kühl

“…We observed a common pattern for large carnivores, whose probability of occurrence declined significantly with increasing human impact, independent of site protection status. …”
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Spatio-temporal Coupling of Ecological Service Value and Human Activity Intensity in the Central Urban Area of Lhasa City by Jiarui ZHANG, Wangdwei MIGMAR, Li CHENG, Liyuan QIAN

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Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network by Fatema A. Albalooshi

“…The MSCNN is designed to integrate multi-scale feature extraction and attention mechanisms, enabling the model to capture both fine and coarse vegetation patterns effectively. Moreover, the MSCNN architecture integrates multiple convolutional layers with varying kernel sizes (3 × 3, 5 × 5, and 7 × 7), enabling the model to extract features at different scales, which is vital for identifying diverse vegetation patterns across various landscapes. …”
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Multivariate geostatistical methods for analysing the contribution of urban lakes and neighbouring greenery to mitigating PM2.5 under stressor indicators by Han Liu, Wenyu An, Arkadiusz Przybysz, Dingyi Hao, Yimei Sun, Junze Song, Jiayi Sui, Jiahan Sun, Chunyang Zhu

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Restoring South African subtropical succulent thicket using Portulacaria afra: rooting variation across three soil types by Alastair J. Potts, Duncan Liddell, Catherine E. Clarke, Nicholas C. Galuszynski

“…However, in degraded ecosystems, these vegetation patterns may not be apparent due to the homogenization of local plant communities. …”
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Trade-off/Synergy Networks and Threshold Effects in Different Ecosystem Service Bundles of the Pearl River Delta Region by Li Ting, Li Zhiwen, Chen Dengshuai, Li Huixia, Xu Haofan

“…The results showed that: (1) In the Pearl River Delta, five different types of ecosystem service bundles are distributed in a circular pattern in space from the central to the surrounding areas: the urban-ecological, ecological-scarcity, agricultural-ecological, ecological-cooling, and ecological-conservation types. …”
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A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank by Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai Ytsma, Chris Tomlinson, Natalie K. Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco-Zanini, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan, Claudia Langenberg, Georgios Lyratzopoulos, R. Thomas Lumbers, Maik Pietzner, Anoop D. Shah, Johan H. Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm, Spiros Denaxas

“…Phenotypes underwent multi-layered validation, assessing data source concordance, age-sex incidence and prevalence patterns, external comparison to a representative UK EHR dataset, modifiable risk factor associations, and genetic correlations with external genome-wide association studies (GWAS). …”
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Revolutionizing pig farming: Japan's technological innovations and environmental strategies for sustainability by Md Kamrul Hasan, Hong-Seok Mun, Eddiemar B. Lagua, Hae-Rang Park, Young-Hwa Kim, Md Sharifuzzaman, Jin-Gu Kang, Chul-Ju Yang

“…The review encompassed studies on Japan's pig farming, addressing prospects, production metrics, challenges, consumption patterns, market trends, precision technologies, and insights from peer-reviewed journals, credible websites, government reports, and conference proceedings. …”
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Genetic diversity and expanded epidemic area of novel tick-borne pathogen wetland virus in ticks, wild and domestic animals, and patient in China by Hong-Xia Yuan, Xiao-Long Lv, Mei-Qi Zhang, Guang-Qian Si, Zhi-Jun Zhao, Xiao-Hu Han, Zhi-Jun Hou, Ning Cui, Lei Zhang, Yi-Dan Ma, Si-Qian Wu, Xin Yang, Han-Zheng Mu, Cong Peng, Ming Chen, Peng-Tao Bao, Hao Li, Shu-Zhen Han, Xiao-Ai Zhang, Wei Liu

“…To elucidate its ecological drivers and transmission patterns, we conducted multi-host surveillance in seven eco-climate regions across China through an integrated approach combining molecular and serological profiling. …”
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Protected areas do not outperform urban wastelands in supporting insect pollinators and pollination in central Germany by Panagiotis Theodorou, Wilhelm H.A. Osterman, Janna H. Mrozek, Bilyana S. Wild, Michael Beckmann, Julia Osterman, Robert J. Paxton

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Un broche de cinturón tardoantiguo de la cueva de Lazaldai (Zuia, Álava/Araba) by José Ángel Hierro Gárate, Enrique Gutiérrez Cuenca, Leticia Tobalina Pulido, Diego Garate Maidagan, Iñaki Intxaurbe Alberdi, Antonio Torres Riesgo, Sergio Salazar Cañarte

“…Its surface is densely decorated with incised motifs, including a large central interlace pattern similar to a “Solomon’s knot” and bordered by a triple-line “wolf tooth” design. …”
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Spatio-temporal dynamics of speleothem growth and glaciation in the British Isles by S. Panitz, S. Panitz, M. Rogerson, J. Longman, N. Scroxton, T. J. Lawson, T. C. Atkinson, V. Ersek, J. Baldini, L. Baldini, S. Umbo, M. A. Lone, G. M. Henderson, S. F. M. Breitenbach

“…A pronounced decline in speleothem growth coincides with the Last Glacial Maximum before broad reactivation during deglaciation and into the Holocene. Spatio-temporal patterns in speleothem growth between 31 and 15 ka agree well with the surface-deposit-based reconstruction of the last BIIS. …”
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Exploring Scientific Outputs about Globalization: A Conceptual Framework Study by Saleh Rahimi, Faramarz Soheili

“…It serves as a vital tool for mapping the landscape of contemporary research across various academic fields. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

“…Abstract Background Clear cell renal cell carcinoma (ccRCC) is a prevalent urogenital malignancy characterized by heterogeneous patterns. Stemness is a pivotal factor in tumor progression, recurrence, and metastasis. …”
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PPIH Expression Correlates with Tumor Aggressiveness and Immune Dysregulation in Hepatocellular Carcinoma by Bei J, Sun Z, Fu R, Huang X, Huang J, Luo Y, Li Y, Chen Y, Wei Z

“…Immune infiltration was analyzed via CIBERSORT and ssGSEA, while DNA methylation and somatic mutation analyses were performed using MExpress and “maftools”, respectively, alongside in vitro and in vivo experiments to assess PPIH’s functional roles.Results: Our findings indicated that PPIH is significantly upregulated in various cancer types, correlating with poor patient prognosis, increased somatic mutations, and altered gene methylation patterns. High PPIH levels were linked to enhanced T regulatory (Treg) cell infiltration and a decline in Th17 cell populations, impacting vital pathways related to DNA damage repair and tumor proliferation. …”
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Spatio-temporal variation of dung beetle (Coleoptera: Scarabaeidae) assemblages in a community ecological reserve of southeastern Mexico by Diana A. Ahuatzin, Wesley Dáttilo, Fernando Escobar-Hernández, Albina Demeza, Lucrecia Arellano

“…The temporal dynamics did not present a relationship with the richness and diversity of species; therefore, spatial dynamics were more important for explaining the diversity of beetles from all environments. When evaluating the spatial turnover, we found that the most important component of β diversity was β2 (between environments), which suggests that the environmental variation provided by the great spatial heterogeneity of the environments modulates the diversity patterns of beetles in this reserve. …”
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Multilayer analysis of ethnically diverse blood and urine biomarkers for breast cancer risk and prognosis by Jia Feng, Xing Qi, Chen Chen, Baolin Li, Min Wang, Xuelong Xie, Kailan Yang, Xuan Liu, Rui min Chen, Tongtong Guo, Jinbo Liu

“…By enhancing the diagnostic power of a tailored biomarker panel through machine learning, this study contributes to the advancement of precision medicine in BC, offering strategies tailored to the unique genetic profiles and biomarker patterns across diverse populations.…”
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Assessment of Machine Learning Models for Predicting Aboveground Biomass in the Indian Subcontinent by S. Mamgain, B. Ghale, H. C. Karnatak, A. Roy

“…Understanding the distribution of aboveground biomass (AGB) is vital for evaluating carbon stocks & ecosystem dynamics, especially in regions with diverse landscapes like Indian subcontinent. …”
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