Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

“…Subsequently, the original AKAZE algorithm is employed to detect feature points and construct binary descriptors. Building upon this, an improved three-stage feature matching strategy is proposed to estimate the geometric transformation between image pairs. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

“…Finally, we assess the number of shots required to estimate the values of binary variables correctly under depolarizing noise and show that the (3, 1)-QRAC Hamiltonian requires less shots to achieve the same accuracy compared with the Ising Hamiltonian.…”
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Effects of once-weekly subcutaneous retatrutide on weight and metabolic markers: A systematic review and meta-analysis of randomized controlled trials by Eric Pasqualotto, Rafael Oliva Morgado Ferreira, Matheus Pedrotti Chavez, Alexandre Hohl, Marcelo Fernando Ronsoni, Tales Pasqualotto, Francisco Cezar Aquino de Moraes, Larissa Hespanhol, Janine Midori Figueiredo Watanabe, Carine Lütkemeyer, Simone van de Sande-Lee

“…Results: A total of three studies were included, comprising 640 patients, of whom 510 were prescribed retatrutide. …”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…The method achieved 100% accuracy in binary classification and 99.3% in multiclass classification using the full feature set. …”
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Wheat Production Simulation Using Sentinel 2 Images and Machine Learning Techniques by H. Ramezani Etedali, M. Ahmadi

“…To explore the simulation of wheat production using vegetation indices, seven methods were defined: methods 1 to 3 examine each index separately; methods 4 to 6 focus on binary combinations of the indices; and method 7 considers the combined effects of all three indices. …”
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Effectiveness of a distance-learning vs standard training in the integrated management of childhood illnesses: a cluster randomized controlled trial by Saidul Abrar, Assad Hafeez, Sana Rahim, Suhail A. R. Doi, Muhammad Naseem Khan

“…Healthcare workers in BHUs (n = 13) randomized to the intervention arm were trained as per the dIMCI protocols while those (n = 13) randomized to the control arm were trained as per the standard protocol. …”
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From rainforests to drylands: a context-specific framework for mapping land use and land cover dynamics in Northeast Brazil (2000–2020) by Khalil Ali Ganem, Yongkang Xue, Andeise Cerqueira Dutra, Frans Germain Corneel Pareyn, Yosio Edemir Shimabukuro

“…Northeast Brazil (NEB), about three times the area of Spain, hosts >90% of Brazil’s drylands along with tropical rain- and dry forests. …”
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Textural characteristics of composite adsorbents analyzed with density functional theory and self-consistent regularization procedure by V. M. Gun'ko

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Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers by Rodolfo Brizola Toscan, Wojciech Lesiński, Piotr Stomma, Balakrishnan Subramanian, Paweł P. Łabaj, Witold R. Rudnicki, Witold R. Rudnicki

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Analysis of the significance and gender differences in the factors influencing antisocial behaviors among adolescents by Wenze Sui, Yan Gao, Liangyu Zhao, Yuke Yang, Lu Chen, Yining Hu, Xiangren Yi, Shuoqin Zhang, Sen Ma

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Estimating Age and Sex from Dental Panoramic Radiographs Using Neural Networks and Vision–Language Models by Salem Shamsul Alam, Nabila Rashid, Tasfia Azrin Faiza, Saif Ahmed, Rifat Ahmed Hassan, James Dudley, Taseef Hasan Farook

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Knowledge, attitudes and practices of healthcare workers towards COVID-19 in three states of Nigeria in 2022 by Alash’le Abimiku, Nifarta Andrew, Elima Jedy-Agba, Rita Okonkwo, Olumide Okunoye, Oyewole Oyedele, Martin Edun, Ugochi Ezenwelu, Asmau Aminu-Alhaji, Aondoakura Kombu, Timothy Attah, Jibreel Jumare, Kenneth Enwerem, Sophia Osawe, Victor Ejeh, Michaela Udioh, Okame Okah-Avae, Elonna Obak, Olusola Anuoluwapo Akanbi, Mary Okoli, Nnaemeka C Iriemenam, McPaul Okoye

“…This study assessed KAP towards COVID-19 among HCWs (laboratorians, doctors, nurses and pharmacists) in Nigeria from August to December 2022.Method A facility-based cross-sectional study was conducted on 1341 HCWs (laboratorians, doctors, nurses and pharmacists) in 7 healthcare facilities across 3 states in Nigeria. HCWs were selected using a stratified random sampling technique. …”
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An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance by Samir K. Safi, Sheema Gul

“…The efficacy of the proposed method is assessed using twenty benchmark problems for binary classification with moderate to extreme class imbalance, comparing it against other well-known methods such as optimal tree ensemble (OTE), SMOTE random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>R</mi><mi>F</mi></mrow><mrow><mi>S</mi><mi>M</mi><mi>O</mi><mi>T</mi><mi>E</mi></mrow></msub></mrow></semantics></math></inline-formula>), oversampling random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">F</mi></mrow><mrow><mi mathvariant="normal">O</mi><mi mathvariant="normal">S</mi></mrow></msub></mrow></semantics></math></inline-formula>), under-sampling random forest (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">F</mi></mrow><mrow><mi mathvariant="normal">U</mi><mi mathvariant="normal">S</mi></mrow></msub></mrow></semantics></math></inline-formula>), k-nearest neighbor (k-NN), support vector machine (SVM), tree, and artificial neural network (ANN). …”
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HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data by Tanya Golubchik, Lucie Abeler-Dörner, Matthew Hall, Chris Wymant, David Bonsall, George Macintyre-Cockett, Laura Thomson, Jared M. Baeten, Connie L. Celum, Ronald M. Galiwango, Barry Kosloff, Mohammed Limbada, Andrew Mujugira, Nelly R. Mugo, Astrid Gall, François Blanquart, Margreet Bakker, Daniela Bezemer, Swee Hoe Ong, Jan Albert, Norbert Bannert, Jacques Fellay, Barbara Gunsenheimer-Bartmeyer, Huldrych F. Günthard, Pia Kivelä, Roger D. Kouyos, Laurence Meyer, Kholoud Porter, Ard van Sighem, Mark van der Valk, Ben Berkhout, Paul Kellam, Marion Cornelissen, Peter Reiss, Helen Ayles, David N. Burns, Sarah Fidler, Mary Kate Grabowski, Richard Hayes, Joshua T. Herbeck, Joseph Kagaayi, Pontiano Kaleebu, Jairam R. Lingappa, Deogratius Ssemwanga, Susan H. Eshleman, Myron S. Cohen, Oliver Ratmann, Oliver Laeyendecker, Christophe Fraser, the HPTN 071 (PopART) Phylogenetics protocol team, the BEEHIVE consortium and the PANGEA consortium

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A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome. by Grace En Hui Lim, Ansel Tang, Yip Han Chin, Jie Ning Yong, Darren Tan, Phoebe Tay, Yu Yi Chan, Denzel Ming Wei Lim, Jun Wei Yeo, Kai En Chan, Kamala Devi, Colin Eng Choon Ong, Roger S Y Foo, Huay-Cheem Tan, Mark Y Chan, Roger Ho, Poay Huan Loh, Nicholas W S Chew

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Drug-Coated Balloons versus Everolimus-Eluting Stents in Patients with In-Stent Restenosis: A Pair-Wise Meta-Analysis of Randomized Trials by Nina Peng, Wei Liu, Zongzhuang Li, Jun Wei, Xuejun Chen, Wei Wang, Hao Lin

“…However, the subgroup meta-analyses showed that DCB was inferior to EES only in DES-ISR patients, with lower minimum lumen diameter (MD=−0.25, 95% CI = −0.37 to −0.14, P<0.001), higher percent diameter stenosis (MD=5.37, 95% CI = 1.33 to 9.42, P=0.009), more binary restenosis (RR=2.07, 95% CI = 1.20 to 3.58, P=0.009), and higher incidence of target vessel revascularization (RR=2.07, 95% CI = 1.22 to 3.50, P=0.007) and target lesion revascularization (RR=2.43, 95% CI = 1.28 to 4.22, P=0.002). …”
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Effect of silver diamine fluoride and nanosilver on salivary bacterial counts in children with early childhood caries: a randomized controlled clinical trial by Nour Ammar, Magda M. El-Tekeya, Dalia M. Talat, Sara Essa, Marwa M. Essawy, Jan Kühnisch, Hams Hamed, Nouran Nabil, Samar El Achy, Maha El Tantawi

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Using PRECIS-2 in Chinese herbal medicine randomized controlled trials for irritable bowel syndrome: A methodological exploration based on literature by Minjing Luo, Yingqiao Wang, Jinghan Huang, Yilin Li, Wenjie Li, He Li, Zhihan Liu, Meijun Liu, Yunci Tao, Jianping Liu, Yutong Fei

“…Background: The pragmatism levels of randomized controlled trials (RCTs) mean how similar the interventions delivered in the trial setting match those in the setting where the results will be applied. …”
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Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system by Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG

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Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

“…Results Regression models demonstrated moderate predictive performance, with random forest delivering the best performance (MAE: 134.0 µm, RMSE: 171.3 µm, Pearson’s correlation coefficient: 0.45). …”
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