Consequences for Maasai pastoralists of changing water access regimes in the Greater Amboseli ecosystem, Kenya by Arthur Bostvironnois, François Mialhe, Yanni Gunnell, Oldrich Navratil

“…A succession of externally driven rural development, land reform and conservation policies has contributed to the reshaping of patterns and regimes of access to water by modifying land ownership and attracting new activities such as crop irrigation and safari tourism. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…Furthermore, a data fusion technique was applied to integrate multiple pollutant enhancing the richness and reliability of the input features for modeling. The increasing air pollution issue, driven by factors such as population growth, urbanization, and industrial development, is a major environmental concern. …”
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Self-Organization of Senior as a System-Forming Factor of Active Longevity by D. P. Kozachok, M. V. Kornilova, V. N. Kamenskih

“…The novelty of the studied approach to self-organization of the elderly lies in the possibility of its interpretation as a way of constructing a new social reality/activity of older people, where state assistance involves abandoning the dependent scenario (“come and take what you can take”), providing opportunities for individual development patterns (“come and create it yourself as you like"). …”
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Engineered wood products for circular construction: a multi-factor evaluation of lamination methods by Dan Bergsagel, Felix Heisel, Jasper Owen, Maxwell Rodencal

“…These results are considered appropriate for the future development of larger dimension and longer length multi-lamination structural bending elements.…”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…ASOA improves LSTM features by constantly finding and exploiting resources and adopting motivation from seagulls’ collecting and migration behaviours. …”
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Perform-therapy as a method for restoring identity under conditions of postmodernist fragmentation by Anatoliy A. Grebenyuk

“…The proposed concept opens up prospects for the development of new forms of symbolic therapy suited to the post-postmodern era. …”
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Historical landscape studies in Ireland by Anngret Simms

“…Evans (Belfast), whose work focused on the relic features of traditional settlement and field patterns to T. …”
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Genome-wide analysis of transcription factors during somatic embryogenesis in banana (Musa spp.) cv. Grand Naine. by Shivani, Praveen Awasthi, Vikrant Sharma, Navjot Kaur, Navneet Kaur, Pankaj Pandey, Siddharth Tiwari

“…All genes were analyzed for their structural features, subcellular, and chromosomal localization. …”
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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…The study highlights key patterns, such as the prevalent use of prefixes like "نا-" (nā-) and "بد-" (bad-) to form words with negative connotations and the transformation of adjectives and verbs into nouns through suffixes like "-گی " (gī) and "-ی" (ī). …”
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Analysis of the epidemiological situation of true pemphigus in Azerbaijan in the process of long-term dynamics by G. Z. Faradzheva

“…The aim of this study was to study the epidemiological situation, dynamics and patterns of development of true acantholytic pemphigus in Azerbaijan, as well as to identify the features of the clinical course, taking into account new realities. …”
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Canalization of gene expression and domain shifts in the Drosophila blastoderm by dynamical attractors. by Manu, Svetlana Surkova, Alexander V Spirov, Vitaly V Gursky, Hilde Janssens, Ah-Ram Kim, Ovidiu Radulescu, Carlos E Vanario-Alonso, David H Sharp, Maria Samsonova, John Reinitz

“…Our analysis shows that the complex phenomena of canalization and pattern formation in the Drosophila blastoderm can be understood in terms of the qualitative features of the dynamical system. …”
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Meteorological Assessment of Vertical Axis Wind Turbine Energy Microgeneration Potentials Across Two Swiss Cities Located in Complex Terrain by Aldo Brandi, Gabriele Manoli

“…These results highlight the need for research on urban wind energy featuring detailed city‐scale assessments that account for urban heterogeneities and regional circulation patterns, to inform future planning investments and engineering development.…”
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CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

“…The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017, CIC-UNSW-NB15, CSE-CIC-IDS2018, CIC-BoT-IoT, Distrinet-CIC-IDS2017, and NF-UQ-NIDS. …”
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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. The resulting dream-like images contain shapes that reflect elements from the ImageNet dataset on which the above pre-trained models were trained. …”
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Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. …”
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Characterizing a complex buildup in the Pearl River Mouth Basin of the northern South China Sea: an interplay of carbonates and igneous rocks by Beichen Chen, Leyi Xu, Baojun Liu, Lili Zhang, Dong Xiao, Ya Gao, Ya Gao, Feng Wu, Xueqi Yang, Yaming Zou, Yongkun Ma, Yinglin Zhang

“…By analyzing the lithofacies of the carbonates and igneous rocks, the morphological features and spatial distribution patterns corresponding to these sedimentary and volcanic facies were identified. …”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

“…The network’s clustering revealed six relevant communities, which are not correlated with questionnaire results but reflect the patterns of feature associations.ConclusionPreventive and therapeutic osteoporosis education programs are urgently needed in the Romanian population to decrease disability and high mortality risks and thus, to improve the quality of life.…”
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Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats by Cezary BARTMAŃSKI, Alicja BRAMORSKA

“…A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. …”
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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…In addition, we applied k-means clustering to identify hidden patterns and risk profiles within the dataset. A Random Forest classifier was trained to distinguish between high-risk and low-risk individuals using the same feature set. …”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…Sex-stratified analyses suggested differential predictive patterns between gender subgroups. Given CMI’s robust and consistent predictive capability for stroke outcomes, we developed a machine learning-derived nomogram incorporating five key predictors: age, CMI, hypertension status, high-sensitivity C-reactive protein (hsCRP) and renal function (measured as serum creatinine). …”
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