MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

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Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

“…Ethical concerns, including algorithmic bias, data ownership, and the labor market impact of AI, are addressed to offer a more holistic understanding of resistance behavior. …”
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A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification by Sangeeta Palekar, Sharayu Kalambe, Jayu Kalambe, Madhusudan B. Kulkarni, Manish Bhaiyya

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Modern principles of Crohn's disease diagnosis in children by D. S. Soleiko, O.M. Horbatiuk, N. P. Soleiko, V. V. Soleiko

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Tratamiento farmacológico de la diabetes mellitus tipo 2 by Francisco Javier García Soidán, Javier Riveiro Villanueva

“…Abstract: The treatment of type 2 diabetes is based on four fundamental pillars: diet, exercise, therapeutic education, and pharmacological therapy.There are ten groups of antidiabetic drugs that can be classified according to their mechanism of action, effects on body weight, risk of hypoglycemia, and ability to reduce the development of complications.The choice of medication will be individualized based on the preferences and characteristics of the individual, taking into consideration the presence of cardiovascular disease, heart failure, chronic kidney disease, obesity, or non-alcoholic fatty liver disease.The type 2 diabetes mellitus treatment algorithm from the RedGDPS Foundation is an evidence-based tool that can help us select the most appropriate pharmacological therapy depending on the characteristics of each patient.…”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

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IMSBA: A Novel Integrated Sensing and Communication Beam Allocation Based on Multi-Agent Reinforcement Learning for mmWave Internet of Vehicles by Jinxiang Lai, Deqing Wang, Yifeng Zhao

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Minding the gap. Drug-related problems among breastfeeding women by Karolina Morze, Edyta Szałek, Magdalena Waszyk-Nowaczyk

“…Future research should focus on developing evidence-based guidelines for medication use during lactation and improving healthcare provider education to optimize maternal and infant health.…”
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Breaking Down Walls: A Literature Review on the Power of Artificial Intelligence in Enhancing Universal Language Connection by Sheida Jamalnia, Zahra Karimian

“…However, challenges such as translation inaccuracies, algorithmic biases, and ethical concerns necessitate continuous improvement and human oversight.Conclusion: AI is revolutionizing global communication by overcoming linguistic barriers and fostering inclusive interactions. …”
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Identifying chronic pain subgroups in the UK biobank for persona development: A clustering analysis by Ting-Chen Chloe Hsu, Pauline Whelan, Christopher J Armitage, John McBeth

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Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…The study investigates the algorithm's performance in sub-Saharan Africa as the region of interest in 2019, using biweekly outputs and a spatial resolution of 250 m. …”
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Study of interstage channel of hybrid turbomolecular pump by J. A. Shostak, N. K. Nikulin, P. A. Shostak, G. T. Tsakadze, E. V. Svichkar

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Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma by Bingxin Zhang, Dong Zheng, Shuxia Zhu, Xinyi Zhang, Quanqiang Wang, Zhili Lin, Ziwei Zheng, Shujuan Zhou, Zixing Chen, Sisi Zheng, Enqing Lan, Luning Cui, Hansen Ying, Yu Zhang, Xuanru Lin, Qiang Zhuang, Honglan Qian, Xudong Hu, Yan Zhuang, Qianying Zhang, Zhouxiang Jin, Songfu Jiang, Yongyong Ma, Yongyong Ma, Yongyong Ma

“…Then 27 drugs targeting the high-risk group were predicted. Based on the DRGs and risk genes, we constructed the miRNA and TF regulatory networks. …”
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Pharmacological treatment options for osteoarthritis: focus on symptomatic slow-acting drugs for osteoarthritis (SYSADOA) and individual patient characteristics: Resolution of the... by A. M. Lila, L. I. Alekseeva, A. R. Babaeva, I. Z. Gaydukova, G. Gandolini, E. V. Zonova, R. Capelli, A. E. Karateev, S. S. Kopenkin, N. A. Martusevich, O. B. Nesmeyanova, E. N. Otteva, F. Rannuе, T. A. Raskina, M. L. Sukhareva, E. A. Taskina, N. V. Chichasova, S. P. Yakupova

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Stamping of forgings with side outlets of tee-type in a split tool by V. V. Gryaznov, V. A. Konovalov, D. A. Kormakov, I. V. Markechko, E. N. Merkushev

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Prognostic and immunological implications of cathepsin Z overexpression in prostate cancer by Junyue Tao, Junyue Tao, Junyue Tao, Yiding Chen, Yiding Chen, Yiding Chen, Xiaokang Bian, Xiaokang Bian, Xiaokang Bian, Tingting Cai, Tingting Cai, Tingting Cai, Changhao Song, Changhao Song, Changhao Song, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Jialing Meng, Jialing Meng, Jialing Meng, Qintao Ge, Qintao Ge, Jun Zhou, Jun Zhou, Jun Zhou

“…Survival analyses across multiple cohorts indicate that high CTSZ expression predicts shorter progression-free survival and overall survival. …”
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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

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Forest cover restoration analysis using remote sensing and machine learning in central Malawi by Jabulani Nyengere, Precious Masuku, Sylvester Chikabvumbwa, Weston Mwase, Msaiwale Kathewera, Allena Laura Njala, Wilson Tchongwe, Isaac Tchuwa, Tiwonge I Mzumara, Chikondi Chisenga, Wilfred Kadewa, Emmanuel Chinkaka, Harineck Tholo

“…Our results reveal a significant transformation of the landscape, including a 61.2 % reduction in bare land and a 57.8 % decline in grassland, coupled with a remarkable 305.6 % increase in tree cover. …”
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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…A variable-rate spray control model and algorithm were then constructed to regulate spray flow according to the spatial distribution of leaf area density across the orchard.ResultsField experiments demonstrated that the system achieved a mean relative error of only 5.52% in spray flow rate regulation. …”
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Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob by Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, Paschal Enyinnaya Ohale, Chiamaka Peace Onu, Marcel Ikenna Ejimofor, Suraj Kumar Bhagat, Christian O. Asadu, Christopher C. Obi, Chidiogo Ezekwem

“…This is in addition to the reduction of the huge environmental waste associated with corn cobs. …”
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