TERABIT DATA RATE, OPTICAL SYSTEM DESIGN AND ANALYSIS FOR DIFFERENT COMPENSATION METHODS by Ahmed Abdul Salam ALobaidi, Meena Al Baghdadi, Ali Kareem Najm AL-ASADI, Mustafa Kareem Najm AL-ASADI, Ahmed Hussein Ahmed

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Compatibility in thermoelectric material synthesis and thermal transport by Ariyo Nurachman Satiya Permata, Christian Idogho, Catur Harsito, Ilogho Thomas, Abel Ejila John

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The Effect of Wildlife Conservation to the Surrounding Community in Nyamagabe District: A Case Study of Nyungwe National Park. by Vestine, Batamuliza

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Subcutaneous emphysema and pneumomediastinum after endoscopic transnasal removal of nasopharyngeal angiofibroma by M. S. Kuznetsov, A. V. Voronov, V. V. Dvoryanchikov, D. V. Svistov, A. I. Nikitin

“…Follow-up examinations (computed tomography and magnetic resonance imaging) confirmed that the tumor had been completely removed. …”
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Integrating proximal geophysical sensing and machine learning for digital soil mapping: Spatial prediction and model evaluation using a small dataset by Danilo César de Mello, Gustavo Vieira Veloso, Murilo Ferre de Mello, Marcos Guedes de Lana, Isabelle de Angeli Oliveira, Fellipe Alcantara de Oliveira Mello, Rafael Gomes Siqueira, Lucas Carvalho Gomes, Elpídio Inácio Fernandes-Filho, Carlos Ernesto Gonçalves Reynaud Schaefer, Márcio Rocha Francelino, Emilson Pereira Leite, Tiago Osório Ferreira, José Alexandre Melo Demattê

“…The combination with computational techniques shows the great relevance of geophysical measurements for the estimation of soil properties related to fertility and soil genesis.…”
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CAD-CAM vs. conventional denture bases: a systematic review with network meta-analysis of in vitro studies comparing strength, hardness, toughness, and elastic properties by Rohit Kunnath Menon, Hui Xin Yew, Benjamin Chen Tze Wei, Farah Mohammed Ramadan, Afraa Ibrahim Soliman, Sajesh Veettil

“…BackgroundScientific evidence from in vitro studies comparing the mechanical properties of dentures fabricated with computer-aided design-computer-aided manufacturing (CAD-CAM) and conventional techniques is inconclusive. …”
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Hybrid AI and semiconductor approaches for power quality improvement by Ravikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, Tae Hoon Kim, Sivarama Prasad Tera, Shafiq Ahmad

“…In contrast, traditional ML models like SVM and Random Forest had difficulties with class imbalance, resulting in lower precision and recall. …”
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Prevalence and associated risk factors of soil-transmitted helminth infections among schoolchildren in Mekan Eyesus town, northwestern Ethiopia by Yohannes Andargie, Amir Alelign, Zinaye Tekeste

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A case of asymptomatic gastric plexiform fibromyxoma followed up for 3 years by Naomi Sugimura, Eiji Kubota, Makiko Sasaki, Shigeki Fukusada, Yusuke Mizuno, Hiroyasu Iwasaki, Mamoru Tanaka, Keiji Ozeki, Takaya Shimura, Hiromi Kataoka

“…Before visiting our hospital, the patient had been followed up for 3 years without a definitive diagnosis despite serial examinations, including computed tomography, endoscopy, endoscopic ultrasound, and endoscopic ultrasound‐guided fine‐needle aspiration. …”
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In-silico drug repositioning studies of Candida albicans Nitrogen permease reactivator 1 (Npr1) kinase by Sanjib Das, Arka Bagchi, Analava Bera, Arunima Biswas, Analabha Roy, Rik Ganguly, Amalesh Mondal, Deepanjan Chattopadhyay, Paromita Saha Mondal, Tanushree Mondal, Subhasree Samanta, Achintya Mohan Goswami, Tanima Saha

“…The result secured from these computational approaches and techniques established that the drug has the potential to be developed as an anti-candida lead targeting candidiasis.…”
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Prevalence of Gastrointestinal Nematodes in Silvery Mole-Rats in Morogoro Region, Tanzania by Debora Elias Shija, Jahashi S. Nzalawahe, Mungo Kisinza Ngalameno, Eliakunda M. Mafie

“…A flotation method and lactophenol mounting techniques were employed to process gastrointestinal contents and adult roundworms. …”
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Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing by Muhammad Punhal Sahto, Wang Wei, Muhammad Fawad Jamil, Awais Mehmood, Mariyam Sattar, Asif Raza, Mujib Ur Rahman, Mumtaz A. Qaisrani

“…This study addresses the need for improved measurement methods by employing image processing and computer vision (IPCV) techniques to enhance FD and permeability accuracy. …”
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An in silico and in vitro approach for understanding CDK2 expression pattern and prognostic implications in breast cancer by Fatima Manhas, Shazia Sofi, Asma Jan, Nusrat Jan, Manzoor Ahmad Mir

“…When it does so, it responds in excess, which triggers unchecked cell proliferation, which is what happens in breast cancer Objective: The study's primary objective is to explore CDK2's expression profile, functional role, and prognostic importance in the development of breast cancer Methods: In this study, we evaluated CDK2's expression profile, prognostic implications and interactions with other proteins to better understand how CDK2 influences the etiology of breast cancer. A range of computational techniques, including UALCAN, TIMER2.0, GEPIA, STRING, DISCO, ENRICHR, and Docking, were utilized Results: Breast cancer patients had highly regulated CDK2 levels. …”
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Do We Need to Add the Type of Treatment Planning System, Dose Calculation Grid Size, and CT Density Curve to Predictive Models? by Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

“…<b>Results:</b> Results showed that dose grid size differences had a more significant influence within RayStation than Pinnacle, while CT curve variations introduced potential domain discrepancies. …”
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Machine learning-based classification model to differentiate subtypes of invasive breast cancer using MRI by Nadesalingam Paripooranan, Warnakulasuriya Buddhini Nirasha, H. R. P. Perera, Sahan M. Vijithananda, P. Badra Hewavithana, Lahanda Purage Givanthika Sherminie, Mohan L. Jayatilake

“…Regions of interest were drawn on each slice to compute the morphological features of the contralateral breast using the 3D Slicer application. …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…No previous study determined the prevalence of TF, and it had not been determined for the study area to satisfy adequate geospatial representation/spatial distribution of TF among children 1–9 years old. …”
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Enhancing placental pathology detection with GAMatrix-YOLOv8 model by Weirui Wu, Zhifa Jiang, Jingwen Liu, Jiahui Ji, Xiaoyan Wei, Xiangyun Ye, Zhen Zhang

“…Purpose: Given the advancements in machine vision, deep learning, convolutional neural networks, and other technologies, various artificial intelligence techniques have been used in placental pathology examinations. …”
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Cicatricial Tracheal Stenosis — A Long-Life Journey by A. A. Pechetov, G. A. Vishnevskaya, D. A. Volchanski, A. N. Lednev, I. I. Danilov, N. V. Gulova

“…The most informative instrumental diagnostic techniques for tracheal diseases include laryngotracheoscopy and computed tomography.Conclusion. …”
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Risk Factors and Consequences of Cage Subsidence after Single-level Posterior or Transforaminal Lumbar Interbody Fusion: A Retrospective Multicenter Study by Hoai T.P. Dinh, Hiroki Ushirozako, Tomohiko Hasegawa, Shigeto Ebata, Tetsuro Ohba, Hiroki Oba, Keijiro Mukaiyama, Yu Yamato, Go Yoshida, Tomohiro Banno, Hideyuki Arima, Shin Oe, Koichiro Ide, Tomohiro Yamada, Kenta Kurosu, Toshiyuki Ojima, Jun Takahashi, Hirotaka Haro, Yukihiro Matsuyama

“…CS was defined as >1 mm sinking of the intervertebral cage evaluated via computed tomography. The patients were divided into the CS and nonsubsidence (NS) groups. …”
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Fusing satellite imagery and ground-based observations for PM2.5 air pollution modeling in Iran using a deep learning approach by Zohreh Sohrabi, Jamshid Maleki

“…Sensitivity analysis indicated that among 18 input parameters, population density, AOD, NO2, and rainfall had the most significant impact on PM2.5 concentrations.…”
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