Mapping the Genetic Landscape of Neurofibromatosis: Insights from a Multi-Generational Family Study by Praveen Kumar Neela, BV Rajeshwari, Anulekha Avinash, Avinash Tejasvi, Vasavi Mohan, Shahistha Parveen

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Assessing Short-term Flood Impact on Land Use Dynamics in Iran’s Central Zagros: A Case Study of Sefid Kuh Protected Area by Soheyl Moradi, Hossein Moradi, Jafar Dolatshah, Azita Rezvani

“…In this study, we aimed to assess the effects of floods on land cover changes and transitions in the Sefid Kuh Protected Area, Lorestan Province in Iran, using temporal satellite imagery from Landsat 8, land-use/land-cover change detection and fragmentation analysis, and landscape pattern indices. We also conducted fieldwork and interviews to evaluate the impact of floods on land cover from the ground and from the local people’s perspectives. …”
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Unpacking food environment policy landscapes for healthier diets in “emerging” countries: the case of Viet Nam by Brice Even, Trang Thi Thu Truong, Hang Thi Minh Thai, Hang Thi Minh Thai, Huong Thi Mai Pham, Duong Thu Nguyen, Anh Thi Viet Bui, Christophe Béné, Christophe Béné

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Analyzing Vegetation Heterogeneity Trends in an Urban-Agricultural Landscape in Iran Using Continuous Metrics and NDVI by Ehsan Rahimi, Chuleui Jung

“…Understanding vegetation heterogeneity dynamics is crucial for assessing ecosystem resilience, biodiversity patterns, and the impacts of environmental changes on landscape functions. …”
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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

“…Unlike previous approaches that focus on local algorithm optimisation or SAR feature selection, this work integrates two scales: (1) landscape patterns derived from annual distributions of time series metrics (TSMs) and (2) field-level phenology, both linked to growing degree days (GDD). …”
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Examining the landscape of proctoring in upholding academic integrity: a bibliometric review of online examination practices by Manit Malhotra, Indu Chhabra, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

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Contemporary epidemiological landscape of pediatric non-Hodgkin lymphoma: a global burden of disease analysis by Xiaobo Luo, Pin Xie, Min Zhou, Yi Xia, Yu Gao, Hui Li

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Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management by F. Caldareri, N. Parrino, L. Balsamo, G. Dardanelli, S. Todaro, A. Sulli, A. Maltese

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Decoding the prognostic landscape of LUAD: the interplay between N6-methyladenosine modification and immune microenvironment by Quan Chen, Quan Chen, Weijun Wan, Qing Zhao, Juan Li, Juan Li, Yanli Xiong, Yanli Xiong, Yuchuan Yuan, Lu Tang, Xiaofeng Wu, Wei Xing, Wei Guo, Di Lu, Luoquan Ao, Xiang Xu, Xiang Xu, Xiang Xu, Xiang Ao, Xiang Ao, Xiang Ao

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Planting Design and Wayfinding for University Campus: Space Syntax as a Landscape Design Assessment Tool by Masoomeh Charousaei, Mohsen Faizi, Mehdi Khakzand

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Effects of landscape‐scale forest change on the range contraction of ruffed grouse in New York State, USA by William F. Porter, Marta A. Jarzyna

“…We hypothesized that range contraction of grouse in New York State was associated with broad‐scale spatial patterns relating to forest maturation and that these patterns would be evident at the landscape scale. …”
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Supporting the spatial allocation of management practices to improve ecosystem services – An opportunity map approach for agricultural landscapes by Irina Heiß, Friederike Stegmann, Matteo Wolf, Martin Volk, Andrea Kaim

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Succinylation-related molecular activities in cancer: metabolic adaptations, immune landscape, and prognostic significance in colorectal cancer by Zhihang Jiang, Zhihang Jiang, Xiaoqing Li, Xiaoqing Li, Long Hu, Zheng Jiang

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Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

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Understanding the trade-off and synergy effects of landscape multifunctional and its driving mechanism in rapidly urbanizing areas by Hang Zhang, Shaohua Wu, Sha Chen, Chong Wu, Fei Xu

“…Taking the Zhejiang Greater Bay Area as an example, this paper quantitatively evaluates residents’ carrying function (RC), food production function (FP), habitat maintenance function (HM), water conservation function (WC) and landscape aesthetic function (LA) in 2022. …”
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Gene Flow and Abundance of a Tropical Fruit Fly in a Horticultural Landscape Mosaic in Eastern Australia Is Limited by Cleared Grazing Land and Area‐Wide Management by James L. Ryan, Anthony R. Clarke, Alexander M. Piper, Susan Fuller, Peter J. Prentis

“…Few empirical studies, however, have simultaneously tested how landscape characteristics influence spatial patterns of gene flow and abundance of pest insects in heterogeneous environments. …”
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Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research by Maria Osipenko

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XL888 and pembrolizumab modulate the immune landscape of colorectal tumors in a phase Ib/II clinical trial by Maggie J. Phillips, Olatunji B. Alese, Natalie K. Horvat, Emily Greene, Olumide B. Gbolahan, Kathleen Coleman, Deon B. Doxie, Vaunita Parihar, Zaid K. Mahdi, Ashley McCook-Veal, Jeffrey M. Switchenko, Maria Diab, Cameron J. Herting, Chrystal M. Paulos, Bassel F. El-Rayes, Gregory B. Lesinski

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Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis by Chun-Wang Su, Chun-Wang Su, Yurui Tang, Nai-Long Tang, Nai-Long Tang, Nian Liu, Nian Liu, Jing-Wen Li, Shun Qi, Hua-Ning Wang, Zi-Gang Huang, Zi-Gang Huang

“…The effects of rTMS intervention on these networks were also evaluated.ResultsOur findings revealed notable dynamical alterations in the pDMN, the vDMN, and the aSN, suggesting their potential as diagnostic and therapeutic markers. …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The formation mechanism, spatio-temporal heterogeneous driving effect and scale response law of LER in highly urbanized areas still need to be systematically explored.MethodsUtilizing multi-source data spanning the period from 1995 to 2020, including Landsat TM/ETM imagery, digital elevation model (DEM) and NASA datasets, this research focuses on exploring the characteristics of spatio-temporal variability of LER and corresponding drivers in Suzhou at the optimal scale, utilizing the LER evaluation model and the geographically and temporally weighted regression (GTWR) framework.Results1) The landscape pattern of Suzhou City is scale-dependent, with significant variations in the landscape pattern index for each land type at the optimal scale. …”
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