A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO by Shahnaz Fatima, M. P. Subba Raju, R. Anil Kumar, Vatsala Anand, Yarrapragada K. S. S. Rao, D. Kishore, U. S. B. K. Mahalaxmi, K. Kalyani

“…It uses advanced deep-learning models to address challenges like beam selection, power control, and missing data. …”
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Clinical teaching behaviours of preceptors of undergraduate nursing students at a private teaching hospital in Islamabad, Pakistan: a convergent mixed-methods study protocol by Kainat Asmat, Afsar Jan, Shumaila Yasir, Saniya Raheel

“…While global research on CTBs exists, evidence from resource-constrained settings like Pakistan remains scarce, where preceptors face unique challenges. …”
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Integrating genomics & AI for precision crop monitoring and adaptive stress management by Rajesh Polegopu, Satya Sumanth Vanapalli, Sashi Vardhan Vanapalli, Naga Prudvi Diyya, Mounika Vandila, Divya Valluri, Anjali Peddinti, Sowjanya Saladi, Meghana Pyla, Padmini Gelli

“…Integrating genomic analysis, image-based stress detection, and real-time environmental monitoring, this approach assesses plant responses to stress factors such as drought and disease. A BERT-based model processes genomic data, while computer vision identifies visual stress indicators like wilting and discoloration. …”
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Does behaviour matters the most in improving urban immunization coverage: exploring behavioural barriers in northern states of India by Pritu Dhalaria, Ayushi Agrawal, Jaideep Kumar, Ajeet Kumar Singh, Ashish Maurya, Syed Hassan, Bhupendra Tripathi, Arindam Ray, Sanjay Kapur

“…Background: Immunization is a crucial public health achievement, yet achieving equitable coverage remains challenging in countries like India. Despite India's notable progress in its Universal Immunization Program (UIP), urban-rural discrepancies persist, especially in densely populated states like Bihar and Uttar Pradesh, with urban areas experiencing slower improvement in coverage. …”
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Foundation Models in Agriculture: A Comprehensive Review by Shuolei Yin, Yejing Xi, Xun Zhang, Chengnuo Sun, Qirong Mao

“…Furthermore, it discusses the challenges faced by AFMs, including data acquisition, training efficiency, data shift, and practical application challenges. …”
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Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

“…The time series selection of SAR data was determined according to the availability of well depth data. …”
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Tracing Recycled Crustal Materials in the Subcontinental Lithospheric Mantle Using Thallium Isotopes by Qing‐Feng Mei, Xinming Chen, Jin‐Hui Yang, Yu‐Sheng Zhu, Jeremy D. Owens

“…The volcanic rocks from the Liaodong‐Jinan region, whose source was previously proposed to contain recycled low‐temperature altered oceanic crust, also display modern mantle‐like Tl isotope composition, suggesting a significant Tl‐loss in the recycled oceanic crust during the subduction due to the dehydration process. …”
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Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks by Chamaka Karunanayake, Miyuru B. Gunathilake, Upaka Rathnayake

“…However, traditional computational models like hydrologic models need many data about the catchment itself. …”
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Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

“…The high predictive accuracy of the LSSVM model highlights its potential for identifying optimal machining parameters and integrating into intelligent process control systems to enhance surface quality and efficiency in the complex machining of materials like SDSS.…”
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Visible Light Communication System Integrating Road Signs with the Vehicle Network Grid by Sameer Sami Hassan Al-Obaidi Sciences, Wisam Abed Shukur Sciences, Mohammed S. H. Al-Tamimi Sciences, Bogdan Ghita Sciences

“…In addition, all this information collected from different vehicles is processed in the Network Road Data Centre. The result will be a signal of attention and order to the Driver and ECU of the vehicle to reduce the speed and stop the vehicle. …”
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Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy by Yasuhiko Igarashi, Naoka Nagamura, Masahiro Sekine, Hirokazu Fukidome, Hideitsu Hino, Masato Okada

“…Additionally, our sparse coding method learns an optimal dictionary tailored for nanostructure extraction, fine-tuning the SR process to the unique characteristics of the data, even with noise and limited samples. …”
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«New Normal» of Students’ Educational Practices in the Coronavirus Pandemic Reality by E. Yu. Kostina, N. A. Orlova

“…Based on the generalization of qualitative data, the substantial characteristics of the informants’ value judgments are formed, strong and weak sides of the learning process related to introduction of new formats of interaction “university – teacher – student”. …”
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Engaging young carers in public health research through online lyric writing workshops during the COVID-19 pandemic by Foteini Tseliou, Jonathan Gunter, Sofia Vougioukalou, Pauline Ashfield-Watt

“…Observations and interviews collected using bricolage methodology were used to capture professional and participant perspectives. The data were analysed using grounded theory. Our finding revealed that co-production and lyric-writing served as effective tools in communicating epidemiological data. …”
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The role of NETosis in the pathogenesis of immunoinflammatory rheumatic diseases by E. L. Nasonov, A. S. Avdeeva, T. M. Reshetnyak, A. P. Aleksankin, Yu. P. Rubtsov

“…Particular attention has been drawn to the ability of neutrophils to form “network” (web-like) structures, called “neutrophil extracellular traps” NETs. …”
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Contributions of District Health Information Software 2 (DHIS2) to maternal and child health service performance in Ethiopia: an interrupted time series mixed-methods study by Taddese Alemu Zerfu, Moges Asressie, Amare Abera Tareke, Zenebu Begna, Tigist Habtamu, Netsanet Werkneh, Tariku Nigatu, Meskerem Jisso, Addisalem Genta

“…Conclusions The study highlights DHIS2’s significant contribution to improving MCH services in Ethiopia, with increased institutional delivery rates and ANC coverage reflecting enhanced data-driven decision-making. Most facilities relied on DHIS2 for resource allocation and program monitoring, though challenges like offline usage and accessibility persist. …”
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Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution by Ransikarbum Kasin, Aydın Nezir, Janmontree Jettarat, Zadek Hartmut

“…Solar and wind are considered the type of renewable energy source that can power a clean energy revolution especially for the upstream process of the Green Hydrogen Supply Chain (GHSC). …”
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Distribution of natural radionuclides in the soils on the territory of the New Moscow by A. S. Guseva, S. A. Ustinov, V. A. Petrov

“…The paper is devoted to the question of natural radionuclides (40K, 238U, 232Th) distribution in the soils on the territory of New Moscow. Based on the processing of the results of aero-gamma-spectrometry and analysis of extensive cartographic material (geological, soil, neotectonic maps, satellite data SRTM), the distribution of these radionuclides within the area under consideration has been estimated. …”
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Bibliometric analysis of digital library in Indonesia 2014-2024 using Biblioshiny Bibliometrix by Diaz Ilyasa, Yunus Winoto, Evi Nursanti Rukmana

“…This study understands the development of digital libraries in Indonesia in the 2014-2024 period using bibliometrics, along with the rapid internet penetration and the increasing number of digital libraries in Indonesia which have changed the way people access information. Data Collection Methods. This is a quantitative approach with a bibliometric analysis based on the Scopus bibliographic dataset with 162 publications with a keyword filtering process. …”
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PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models by Joao Torres, Catherine Mulligan, Joaquim Jorge, Catarina Moreira

“…PROMPTHEUS automates key SLR stages, including systematic searches, data extraction, and topic modeling using BERTopic and summarization with transformer models. …”
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Do Universities Prepare Student Teachers Adequately for Teaching Practice? by Tabitha Grace Mukeredzi, Cephas Makwara

“…Data from both questionnaires and focus group discussions suggests that student teachers were adequately prepared in content, pedagogical aspects like lesson preparation, questioning techniques, learner assessment and professionalism. …”
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