MicroRNA-dependent mechanisms of taxane resistance in breast cancer by V. S. Apollonova, E. I. Sidina, E. V. Tkachenko, A. V. Malek

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Role of green infrastructure planning in achieving sustainable development goals through an environmental efficiency lens: An integrated literature review by Zih-Hong Lin, Shawn W. Laffan, Graciela Metternicht

“…However, there is limited research on the environmental efficiency of GI, as well as its specific contributions to SDG targets. …”
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PULMONAR.Y ARTERIAL HYPERTENSION ASSOCIATED WITH A SYSTEMIC SCLEROSIS: REVIEW OF LITERATURE by N. N. Yudkina, A. V. Volkov

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The effect of canine lingual attachments during maxillary arch distalization with clear aligner: a 4D finite element analysis and in vitro simulator study by Bochun Mao, Yajing Tian, Hanzhang Zhou, Yan Gu

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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

“…BackgroundArtificial intelligence is based on algorithms that enable machines to perform tasks and activities that generally require human intelligence, and its use offers innovative solutions in various fields. …”
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SPONTANEOUS RUPTURE OF THE ESOPHAGUS, POSTERIOR PURULENT MEDIASTINITIS, LEFT-SIDED PLEURAL EMPYEMA IN COMBINATION WITH TWO PERFORATED DUODENAL ULCERS, DIFFUSE BILE PERITONITIS, АND... by A. N. Pogodina, K. M. Rabadanov

“…ABSTRACT. According to most researchers, spontaneous rupture of the esophagus (SRE) occurs relatively rarely, ranging from 1.7% to 17.5% of all cases of damage to the esophagus. …”
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Integrating population genetics and species distribution models to predict red seabream distribution under climate change by Binbin Shan, Wenhao Huang, Mengyi Zhang, Liangming Wang, Yan Liu, Changping Yan, Manting Liu, Qijian Xie, Jianwei Zou, Linlin Zhao, Dianrong Sun

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Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Joshue Perez Rastelli, Asier Zubizarreta

“…However, their reliance on sophisticated sensors and complex algorithms poses challenges, especially in scenarios with uncertainties, constraints, or failures. …”
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Inflammation and Cardiovascular Disease: The Future by Natalie Arnold, Katharina Lechner, Christoph Waldeyer, Michael D Shapiro, Wolfgang Koenig

“…This review provides perspectives on future clinical research in atherosclerosis addressing the tight interplay between inflammation, lipid metabolism and thrombosis, and its translation into clinical practice.…”
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Learning new surgical techniques in low and middle income countries, approval processes, and the impact of artificial intelligence by Long Cong Duy Tran, Long Cong Duy Tran, Helal Metwalli, Helal Metwalli, Dat Tien Le, Dat Tien Le, Samuel Amo-Afful, Samuel Amo-Afful, Mario Salib Todry Gerges, Mario Salib Todry Gerges, Hajer Hatim Hassan Ahmed, Hajer Hatim Hassan Ahmed, Dinh Thi Kim Quyen, Dinh Thi Kim Quyen, Abdelrahman Gamil Gad, Abdelrahman Gamil Gad, Phillip Tran, Nguyen Tien Huy, Nguyen Tien Huy, Nguyen Tien Huy

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Developing an Uncrewed Aerial Vehicle (UAV)-Based Prediction Model for the Rice Harvest Index Using Machine Learning by Zhaoyang Pan, Zhanhua Lu, Liting Zhang, Wei Liu, Xiaofei Wang, Shiguang Wang, Hao Chen, Haoxiang Wu, Weicheng Xu, Youqiang Fu, Xiuying He

“…Based on the above characteristics, this study used a variety of machine learning algorithms to construct a harvest index prediction model. …”
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

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Modulation instability control via evolutionarily optimized optical seeding by Sader Lynn, Boussafa Yassin, Hoang Van Thuy, Haldar Raktim, Kues Michael, Wetzel Benjamin

“…The implications of our research extend beyond the sheer process of modulation instability, offering promising applications in advanced optical information processing. …”
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Correction: Sarmadi et al. Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers. <i>Sensors</i> <b>2022</b>, <i>22</i>, 2301 by Hamid Sarmadi, Sławomir Nowaczyk, Rune Prytz, Miguel Simão

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Mixed Reality Human&#x2013;Robot Interface With Adaptive Communications Congestion Control for the Teleoperation of Mobile Redundant Manipulators in Hazardous Environments by Krzysztof Adam Szczurek, Raul Marin Prades, Eloise Matheson, Jose Rodriguez-Nogueira, Mario Di Castro

“…Communication issues can lead to critical consequences, such as imprecise manipulation resulting in collisions, breakdowns and mission failures. The research presented in this paper was driven by the needs of a real robotic intervention scenario in the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN). …”
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Reassortment Dynamics: Phylogeography and Evolution of H4N9 Influenza Viruses by Nataliia A. Bobrova, Ekaterina D. Lisenenkova, Ekaterina S. Avsievich, Olga N. Mityaeva, Pavel Yu Volchkov, Andrey A. Deviatkin

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Optimal Configuration of Distributed Energy Storage in Distribution Networks Based on Moment Difference Analysis by Donglei SUN, Yao WANG, Huiwen ZHANG, Rui LIU, Bingke SHI

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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

“…The use of boosting-based machine learning methods for CFRP-to-steel bonded contacts has received little research attention. The present study examines the bond behavior of CFRP sheets in steel beams using boosting-based ensemble machine learning approaches such as the XGBoost, GBM, CATBoost, LGBM, and ADABoost algorithms. …”
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Validation of Self-reported Medical Condition in the Taiwan Biobank by Chi-Shin Wu, Le-Yin Hsu, Chen-Yang Shen, Wei J. Chen, Shi-Heng Wang

“…These findings underscore the need for further investigation, especially when these variables are crucial to research objectives. Integrating complementary databases, such as clinical diagnoses, prescription records, and medical procedures, can enhance accuracy through customized algorithms based on disease categories and participant characteristics and optimize sensitivity or positive predictive values to align with specific research objectives.…”
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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

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