Influence of copper nanoparticles on the growth characteristics of tumors in white outbreed rats by P. S. Kachesova, I. A. Goroshinskaya, G. V. Zhukova, E. V. Shalashnaya, I. A. Kaplieva, V. B. Borodulin

“…The effects of nanodispersed copper differed in tumors with different histological structures and growth patterns. …”
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Magnetohydrodynamic control of Falkner–Skan nanofluid transport around a wedge-shaped geometry for advanced thermal solutions: Applications in medical skin patches by Abdul Kareem Abdul Jawwad, Ali B.M. Ali, A. Divya, Narinderjit Singh Sawaran Singh, Muhammad Jawad, Hakim AL Garalleh, Ibrahim Mahariq

“…The outcomes reveal that enhancements in the wedge angle parameter boosts the nanofluid velocity, while opposite behavior is noted in velocity profile for growing value of magnetic parameter. Density of gyrotactic microorganisms is seen to decline with growing value of bioconvective Lewis number. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Abstract Electric Vehicle Charging Station (EVCS) security is a growing concern in today’s connected world due to the growing complexity and frequency of cyber threats. …”
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Seasonality of host-seeking Ixodes ricinus nymph abundance in relation to climate by Hoch, Thierry, Madouasse, Aurélien, Jacquot, Maude, Wongnak, Phrutsamon, Beugnet, Fréderic, Bournez, Laure, Cosson, Jean-François, Huard, Frédéric, Moutailler, Sara, Plantard, Olivier, Poux, Valérie, René-Martellet, Magalie, Vayssier-Taussat, Muriel, Verheyden, Hélène, Vourc’h, Gwenaël, Chalvet-Monfray, Karine, Agoulon, Albert

“…Model parameters were estimated separately for each location. Seasonal patterns appeared different depending on the climate considered. …”
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Comorbidities associated with fetal alcohol spectrum disorders in the United States by Brandon K. Attell, Angela B. Snyder, Claire Coles, Julie Kable

“…Using a case-control study design, the purpose of this study was to better understand the complex comorbidity patterns associated with FASD (N = 3,248) and to examine how they differ with the general patient population (N = 16,240) and a cohort of behavioral health controls (N = 16,240). …”
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Skeleton-Forming Responses of Reef-Building Corals under Ocean Acidification by Yixin Li, Hongwei Zhao, Yunpeng Zhao, Xin Liao, J.-Y. Chen, Yanping Qin, Zuhong Lu, Yuehuan Zhang, Chunpeng He

“…The results suggest that different reef-building corals have diverse growing strategies in lower pH conditions. …”
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Transition to circular economy of urban areas and communities with special attention to lifestyles by Mariann Szabó, Jan Gimkiewicz, Francesca Cappellaro, Carolina Innella, Noémi Csigéné Nagypál

“…In addition, the effects of awareness raising activities and any actions aiming to change the behavioural patterns of consumers can be limited if people cannot find sufficient offers for sustainable consumption. …”
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Gene expression study of durum wheat hybrids under water deficit conditions by Ahmed Mohsen, Khaled Adly Khaled, Ayman Hamdi Mahdi, Aladdin Hamwieh, Sherif El-Areed

“…The SCoT analysis revealed variations in gene expression patterns among the different genotypes in response to water deficit stress. …”
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Belt and Road Initiative and Urban Landscapes: Quantifying Land Use Changes and Development Strategies in Minsk, Vientiane, and Djibouti by Chuan Zhang, Xiang Jing, Zihao Wang, Hongsheng Chen

“…This study examines the China-Belarus Industrial Park in Minsk, the Saysettha Development Zone in Vientiane, and the Djibouti International Free Trade Zone, using remote sensing data and the patch-generating land use simulation (PLUS) model to analyze land use changes and driving forces in these three cities from 2000 to 2020, thereby revealing regional land-use patterns and their developmental differences. The findings indicate that population density, transportation infrastructure, and topographic features are the primary driving forces behind land use changes in the areas surrounding the industrial parks, significantly influencing the expansion of construction land and the utilization patterns of adjacent land types. …”
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A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions by Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi

“…Furthermore, it highlights the growing diversity of approaches, with increasing interest in machine learning algorithms and combined methods. …”
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Using cluster analysis to identify the health literacy strengths and challenges of people living with motor neurone disease in Australia by Arabelle Douglas, Maryanne McPhee, Fiona Fisher, Christina Cheng, Anjali Henders, Laura Ziser, Julie C. Stout, Matthew C. Kiernan, Richard Osborne, Susan Mathers

“…Descriptive statistical analysis and cluster analysis were employed to describe the sample and to identify different health literacy patterns in subgroups of people living with MND and their carers. …”
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Impact of Healthcare Provider Awareness and Guidance on the Medical Cannabis Experience by Thomas A. Clobes, Marshall M. Mee, Jenna M. Jimenez, Jesus Maldonado, Joshua R. Song

“…These responses were analyzed using a variety of statistical tests to search for differences in reported efficacy, specific cannabinoid, and side effects between different levels of medical professional involvement (n = 988). …”
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Agriculture et paysage des espaces périurbains algériens by Hadj Mohammed Maachou

“…One has to imagine through time the disappearance of the actors involved as well as the scenery of the countryside and their replacement by urbanized areas with different uses …under the impacts of periphery urbanization of a growing agglomeration of about one million inhabitants. …”
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Integrated Approach to Marine Engine Maintenance Optimization: Weibull Analysis, Markov Chains, and DEA Model by Damir Budimir, Dario Medić, Vlatka Ružić, Mateja Kulej

“…This study addresses the growing need for predictive maintenance in the maritime industry by proposing an optimized strategy for ship engine maintenance. …”
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Decision-making factors influencing land use transformation and its implication on forest landscape restoration in Ethiopia by Shibire Bekele Eshetu, Stefan Sieber, Marcos Lana, Katharina Löhr

“…Macro-level landscape patterns are often a result of a strong influence on human decisions at the micro level. …”
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Remotely sensed data contribution in predicting the distribution of native Mediterranean species by Ahmed R. Mahmoud, Emad A. Farahat, Loutfy M. Hassan, Marwa Waseem A. Halmy

“…Recently, remote sensing data have been used in a growing number of studies to predict species distribution and improve SDMs performance. …”
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A Decade of Data: E. coli Presence in Europe's Wild Bird Species – an epidemiological study by Daiana Ionela Cocoș, Mihai Folescu, Sergiu Alic - Orășan, Alexandru Octavian Doma, Eugenia Dumitrescu, Caius Stoichescu, Romeo Teodor Cristina

“…Furthermore, the review presents a detailed analysis of E. coli isolates from wild birds, examining the annual distribution of cases and identifying patterns across different European countries. Additionally, the review identifies the top five bird species most frequently studied in relation to E. coli presence, providing insights into the focal points of research efforts. …”
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Machine learning-assisted development of polypyrrole-grafted yarns for e-textiles by Matteo Iannacchero, Joakim Löfgren, Mithila Mohan, Patrick Rinke, Jaana Vapaavuori

“…The optimized yarns are woven into prototype fabrics with different patterns, and we demonstrate their applicability as flexible conductive wearable and heaters.…”
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Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

“…With the rapid development of mobile telecommunication, voice call spam has become a growing problem in China. Many mobile phone users have become the victim of spam calls and suffered heavy financial loss. …”
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Stability Prediction in Sustainable Energy Systems Using Machine Learning Models by Md Sarowar Hossain, Mohammad A. Abido

“…In the twenty-first century, there is a rising necessity to meet growing electricity demands while shifting towards sustainable practices. …”
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