The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity by Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max Gallant, Ziyao Luo, Matthew McDermott, Patrick Huck, Morten M. Smedskjær, Kristin A. Persson

“…However, data-driven exploration and design of non-crystalline materials is hampered by the absence of a comprehensive database covering a broad chemical space. In this work, we present the largest computed non-crystalline structure database to date, generated from systematic and accurate ab initio molecular dynamics (AIMD) calculations. …”
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Possibilities of Physical Medicine in the Treatment of Median Nerve Paralysis – Case Report by Jarosław Pasek, Grzegorz Cieślar, Tomasz Pasek

“…The therapy applied using spatial magnetic field, created optimum conditions for regeneration and reinnervation of damaged nerves, leading to improved functional condition of treated patients. Conclusions. …”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…At present, the configuration analysis and calculation of energy storage are mostly carried out around a single scene, which cannot give full play to the multiple functions of energy storage. …”
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Mindfulness for Motor and Nonmotor Dysfunctions in Parkinson’s Disease by Nadeeka N. W. Dissanayaka, Farah Idu Jion, Nancy A. Pachana, John D. O’Sullivan, Rodney Marsh, Gerard J. Byrne, Paul Harnett

“…Mindfulness interventions have been a recent focus in PD. The present study explores effectiveness of a manualized group mindfulness intervention tailored for PD in improving both motor and neuropsychiatric deficits in PD. …”
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Multimode Miniature Polarization-Sensitive Metamaterial Absorber with Ultra-Wide Bandwidth in the K Band by Zhonghang Ji, Yida Song, Mandi Gao, Qiong Zhang, Yunqing Liu

“…For specific scenarios requiring single-frequency or multi-frequency absorption, the desired functionality can be realized by varying the incident angle. …”
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An Adaptive Content Caching Model to Improve the NDN-Based IoT Network Performance by Qaizar Javed, Arfan Jaffar, Muhammad Ali Naeem, Izhar Ahmed Khan, Mohammed Alsuhaibani

“…To address these challenges, Named Data Networking (NDN) appears as a promising solution, offering content-centric approaches and proficient in-network caching. This study presents a novel caching technique, named the Efficient Pre-Caching Technique (EPCT), which depends on two mechanisms, such as content selection using similarity functions and content placement. …”
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Exploring the Potential of Extracellular Vesicles from Atlantic Cod (<i>Gadus morhua</i> L.) Serum and Mucus for Wound Healing In Vitro by Stefania D’Alessio, Igor Kraev, Bergljót Magnadóttir, Sigrun Lange

“…The serum EV and mucus EV protein cargoes differed with respect to abundance of protein hits and associated enriched functional GO and KEGG pathways, but both were associated with immune, stress and wound-healing processes. …”
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Giant rectal fecaloma treated with carbonated soft drink and argon plasma coagulation by Philippe Attieh, Karam Karam, Elias Fiani, Ihab I. El Hajj

“…It can be classified as primary, including functional constipation, pelvic floor dysfunction, and slow transit, or secondary, resulting from neurological, endocrine, metabolic disorders, cancer, or medications. …”
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Identifying Hub Genes and miRNAs Associated with Alzheimer’s Disease: A Bioinformatics Pathway to Novel Therapeutic Strategies by Elisa Gascón, Ana Cristina Calvo, Nora Molina, Pilar Zaragoza, Rosario Osta

“…Therefore, in this study, by means of bioinformatics analysis, AD-affected brain tissue was analyzed using the GSE138260 dataset, identifying 612 differentially expressed genes (DEGs). Functional analysis revealed 388 upregulated DEGs associated with sensory perception and 224 downregulated DEGs linked to the regulation and modulation of synaptic processes. …”
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A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems by Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

“…Then, the scheduling problem is developed into a Markov decision process (MDP), in which the state, action, and reward functions of the WSHBCS are designed accordingly. Finally, a multi-policy twin delayed deep deterministic policy gradient (MPTD3) method is put forth to achieve intelligent decisions in continuous action spaces. …”
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Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys by Yan Zhang, Cheng Wen, Pengfei Dang, Xue Jiang, Dezhen Xue, Yanjing Su

“…Testing on six different materials datasets, including ceramics and functional alloys, demonstrated that the obtained numerical descriptions achieved higher prediction precision across various properties, indicating the broad applicability of our strategy.…”
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Lithium-doped calcium silicate cement regulates the immune microenvironment and promotes M2 macrophage polarization for enhancing bone regeneration by Yen-Hong Lin, Cheng-Yu Chen, Kun-Hao Chen, Ting-You Kuo, Tsung-Li Lin, Ming-You Shie

“…Abstract Bone defects present a significant challenge in orthopedics and trauma surgery, necessitating innovative approaches to stimulate effective bone regeneration. …”
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Late Diagnosis of von Willebrand Disease in a Child and His Relatives: Case Study by Olga B. Gordeeva, Albina V. Dobrotok, Elizaveta A. Bolotina, Alexander Yu. Babko, Nadezhda F. Zhdanovskaya

“…Von Willebrand disease is a pathology of hemostatic system characterized by deficiency or functional abnormality of the protein involved in blood clotting process. …”
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Enhancement of Polypropylene Adhesion through Acetylated Kraft Lignin Incorporation by Manuel Patricio da Silva Bisneto, Rogerio Ramos de Sousa Junior, Guilherme Elias Saltarelli Garcia, Demetrio Jackson dos Santos

“…Lignin, one of Earth’s most abundant biopolymers, is rich in phenolic and aliphatic functional groups, offering significant potential for chemical modification. …”
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Boosting Reservoir Prediction Accuracy: A Hybrid Methodology Combining Traditional Reservoir Simulation and Modern Machine Learning Approaches by Mohammed Otmane, Syed Imtiaz, Adel M. Jaluta, Amer Aborig

“…This study presents a comprehensive investigation into the application of reservoir simulation and machine learning techniques to improve the understanding and prediction of reservoir behavior, focusing on the Sarir C-Main field. …”
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Organizational and National Aspects of the Union for the Liberation of Ukraine Activities in the Camps for Captured Ukrainians of the Tsarist Army in Germany between 1914 and 1918 by Ihor Sribnyak, Natalia Yakovenko, Viktor Matviyenko

“…Soon after, the elected representative bodies of Ukrainian prisoners took over not only the functions of educational departments, but also the general leadership of Ukrainian communities. …”
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Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model by Shubham Kanojiya, Gopal Krishna Mehta

“…Geological elements such as thrust zones, folded rock sequences, shear zones, rock cover, in-situ tensions, water ingress, gas ingress, geothermal gradient, and significant seismicity all present difficulties during digging. These difficulties have a substantial influence on the routine functioning of the tunnel as well as traffic safety. …”
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Loss of LAPTM4A inhibits M2 polarization of tumor-associated macrophages in glioblastoma, promoting immune activation and enhancing anti-PD1 therapy by Jin Geng, Bing Liang, Zonghao Zhang, Fengping Shan, Xinxin Zhao, Ye Yuan

“…Abstract Glioma is a highly aggressive central nervous system tumor with limited treatment options, presenting a significant challenge for effective therapy. …”
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Adipose Tissue Macrophages of the Human Fetus by Ádám Radványi, Katalin Gyurina, Emese Rácz, Ilona Kovács, Gábor Méhes, Tamás Röszer

“…Despite being relevant regulators of adipose tissue development and functioning, it is unknown whether ATMs are present in the fetal adipose tissue, therefore it is elusive whether they may affect the prenatal establishment of fat depots. …”
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Personalized 3D-printed retainers as a novel approach to maintain the auricular morphology after corrective surgery for cryptotia: a retrospective study by Jiajun Zhi, Peixu Wang, Lin Lin, Bo Pan, Haiyue Jiang

“…Abstract Cryptotia, a congenital auricular deformity, presents both aesthetic and functional challenges. …”
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