Mobile Robot Path Planning Based on Fused Multi-Strategy White Shark Optimisation Algorithm by Dazhang You, Junjie Yu, Zhiyuan Jia, Yepeng Zhang, Zhiyuan Yang

“…Path length and path smoothness are used as fitness evaluation metrics, and an evaluation function is established in conjunction with a non-complete model that reflects actual motion to assess the effectiveness of path planning. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It was also computationally more efficient, cutting runtime in half compared to other methods. …”
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A reappraisal of cell cycle phase enrichment in synchronized estrogen receptor-positive cell models derived from breast adenocarcinomas by Pelin Toker, Hazal Ayten, Öykü Deniz Demiralay, Büşra Bınarcı, Gizem Turan, Çağla Ece Olgun, Pelin Yaşar, Hesna Begüm Akman, Mesut Muyan

“…Abstract 17β-estradiol (E2), the main circulating estrogen hormone, is a critical signaling factor for the growth, differentiation, and function of breast epithelial cells. The effects of E2 on the breast tissue are primarily mediated by the estrogen receptor α (ERα). …”
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Hepatocyte Rho-associated kinase signaling is required for mice to survive experimental porphyria-associated liver injury by Jessica M. Herrera, Yun Weng, Tyler J. Lieberthal, Marcus Paoletti, Tammy T. Chang

“…Rho-associated kinases 1 and 2 (ROCK1 and ROCK2) regulate critical cell functions, including actomyosin contractility, apoptosis, and proliferation. …”
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Blurring the lines: an empirical examination of the interrelationships among acceptability, appropriateness, and feasibility by Zoe Fehlberg, Zornitza Stark, Marlena Klaic, Stephanie Best

“…Further, in the interest of reducing research waste, more research is needed to determine if the outcomes could serve as proxies for each other.…”
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Novelle approach to simulating spinal cord stimulation during tSCS using CT images and FEM by Árnason Jón Andri, Guðmundsdóttir-Korchai Ragnhildur, Afework Tesfahunegn Yonatan, Helgason Þórður

“…Later versions of FEM models incorporated more organs and had improved on previous mesh generation flaws, but encountered new mesh generation errors which could not be rectified before the conclusion of the master’s project. …”
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A statistical framework for modelling migration corridors by Tristan A. Nuñez, Mark A. Hurley, Tabitha A. Graves, Anna C. Ortega, Hall Sawyer, Julien Fattebert, Jerod A. Merkle, Matthew J. Kauffman

“…We tested the ability of the approach to recover parameters used to generate simulated movements. We then used GPS data from three migrating mule deer Odocoileus hemionus herds in Idaho and Wyoming to model corridors as a function of elevation, slope, aspect, percent shrub, date of peak green‐up, snow‐off date and human footprint. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…As fifth-generation (5G) and next-generation communication systems advance and find widespread application in critical infrastructures, the importance of vulnerability detection becomes increasingly critical. …”
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„Solvumiseks pole põhjust.“ Vaimne õhustik Eesti NSV Heliloojate Liidu töökoosolekutel 1970. aastatel / “No Reason to Be Offended”: The Atmosphere at Working Meetings of the Eston... by Anu Veenre

“…By the 1970s, although the meetings’ ideological function remained in place, changes in the political climate and the rise of a new generation of composers had altered both the meetings’ atmosphere of control and the rhetoric of discussion. …”
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Real-world clinical determinants of alcohol dependence in outpatients with bipolar disorder: a multicenter treatment survey for bipolar disorder in psychiatric outpatient clinics w... by Keita Tokumitsu, Norio Sugawara, Naoto Adachi, Yukihisa Kubota, Yoichiro Watanabe, Kazuhira Miki, Takaharu Azekawa, Koji Edagawa, Eiichi Katsumoto, Seiji Hongo, Eiichiro Goto, Hitoshi Ueda, Masaki Kato, Masaki Kato, Reiji Yoshimura, Reiji Yoshimura, Atsuo Nakagawa, Atsuo Nakagawa, Toshiaki Kikuchi, Toshiaki Kikuchi, Takashi Tsuboi, Takashi Tsuboi, Koichiro Watanabe, Koichiro Watanabe, Norio Yasui-Furukori, Norio Yasui-Furukori

“…Therefore, it was considered necessary to conduct the study on a larger population in order to generate more robust evidence.ConclusionsWe found that outpatients with bipolar disorder, especially men, had higher rates of alcohol dependence overall than the general population in Japan. …”
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Suppression of the T-dependent antibody response following oral exposure to selected polycyclic aromatic compounds in B6C3F1/N mice by Victor J. Johnson, Cynthia V. Rider, Michael I. Luster, Cynthia J. Willson, Shawn Harris, Billie Stiffler, James Blake, Esra Mutlu, Veronica Godfrey, Brian Burback, Reshan Fernando, Suramya Waidyanatha, Gary R. Burleson, Dori R. Germolec

“…Antibody suppression was associated with significant immune cell loss in the spleen; however, it was clear that the suppression of the TDAR was more sensitive than cell loss indicating that cell function impairments were involved. …”
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The Impact of Hotspot-Targeted Interventions on Malaria Transmission in Rachuonyo South District in the Western Kenyan Highlands: A Cluster-Randomized Controlled Trial. by Teun Bousema, Gillian Stresman, Amrish Y Baidjoe, John Bradley, Philip Knight, William Stone, Victor Osoti, Euniah Makori, Chrispin Owaga, Wycliffe Odongo, Pauline China, Shehu Shagari, Ogobara K Doumbo, Robert W Sauerwein, Simon Kariuki, Chris Drakeley, Jennifer Stevenson, Jonathan Cox

“…<h4>Background</h4>Malaria transmission is highly heterogeneous, generating malaria hotspots that can fuel malaria transmission across a wider area. …”
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The inactivation of the Niemann Pick C1 cholesterol transporter restricts SARS-CoV-2 entry into host cells by decreasing ACE2 abundance at the plasma membrane by Piergiorgio La Rosa, Jessica Tiberi, Enrico Palermo, Roberta Stefanelli, Sofia Maria Luigia Tiano, Sonia Canterini, Mirko Cortese, John Hiscott, Maria Teresa Fiorenza

“…A similar effect was observed in CRISP/R-Cas9-edited Caco-2 cells, which were even more resistant to SARS-CoV-2 infection as indicated by a 97% reduction of viral titers. …”
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Spatial Analysis of the Relationship between Ecological Factors and Housing Prices in Tehran by Atefeh Kolyaei, Tahir Prizadi, Habibollah Fasihi

“…Generally, properties with higher exchange values were situated at greater elevations, received more annual rainfall, and had more favorable slope characteristics and a higher number of clean air days per year. …”
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The Use of Autologous Bone Graft vs Allograft Viable Cell Matrix in Forefoot, Midfoot, and Hindfoot Fusion by John O'Keefe MD, Sarah Hall BA, Chase Gauthier MD, Christopher Toussaint MD, Edward Haupt MD, J. Benjamin Jackson MD, MBA, Tyler Gonzalez MD, MBA

“…Allograft may be useful as an alternative to autograft given its high accessibility and lack of harvesting complications. Newer generation allograft mixtures containing osteoconductive, osteoinductive and osteogenic factors which may have similar or even higher rates of success compared to older generations of allograft. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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Construction of vascularized liver microtissues recapitulates angiocrine-mediated hepatocytes maturation and enhances therapeutic efficacy for acute liver failure by Liuyang Zhu, Sen Liu, Zhuangzhuang Yang, Long Yang, Yueyue Yang, Pinsheng Han, Yu Miao, Lei Lin, Lilin Xu, Yan Li, Xinyue Li, Libo Wang, Tianyu Zhao, Weiwei Wang, Zilin Cui, Ze Wang, Deling Kong, Zhongyang Shen, Yamin Zhang

“…However, insufficient vascularization and functional immaturity remain major barriers impeding optimal functional recovery after transplantation. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

“…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. …”
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Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

“…Introduction: AKI is a severe postoperative complication, especially in elderly patients with declining renal function. Current AKI prediction models rely on ML, but their lack of interpretability and generalizability limits clinical use. …”
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