Non-Diffractive Wavefront-Shaping Intraocular Lens with Extended Depth of Focus: First Implantation Experience by K. B. Pershin, N. F. Pashinova, A. Yu. Tsygankov, E. A. Antonov, I. V. Kosova, E. A. Korneeva

“…Purpose. Analysis of short-term clinical and functional results of implantation of a new non-diffractive IOL with expanded depth of focus.Patients and methods. …”
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SOC: clay ratio: A mechanistically-sound, universal soil health indicator across ecological zones and land use categories? by Walter W. Wenzel, Alireza Golestanifard, Olivier Duboc

“…Moreover, we could not confirm a meaningful functional relation between the SOC: clay ratio and the quality of soil structure derived from visual assessment. …”
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Aplikasi Berbasis Progressive Web App (Mentoree) sebagai Layanan Pendampingan Pembelajaran Pemrograman di Universitas Brawijaya by Muhamad Fauzan Wahyudi, Lutfi Fanani, Adam Hendra Brata

“…These tests showed that the application is ready for use, with valid results in functional testing and positive outcomes in non-functional testing. …”
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Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision me... by Yutong Fang, Rongji Zheng, Yefeng Xiao, Qunchen Zhang, Junpeng Liu, Jundong Wu

“…To explore the potential mechanisms underlying the prognostic differences between high-risk and low-risk patient groups, as well as their drug treatment sensitivities, we conducted functional enrichment analysis, tumor microenvironment analysis, immunotherapy prediction, drug sensitivity analysis, and mutation analysis.ResultsULBP2, CCL5, PRDX1, IL21, NFATC2, CD2, and VAV3 were identified as key NRGs for the construction of ML models. …”
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The novel diagnostic markers for systemic lupus erythematosus and periodontal disease by Xuedi Cheng, Jinfeng Zhang, Jiali Hou, Xiaocui Han, Bin Han, Jun Zhou, Zhongjun Wang, Junzheng Wang

“…Functional enrichment analyses of genes within overlapping modules and their significantly correlated associated modules were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. …”
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The Genoa Vascular Biobank: A Today Resource for Future Perspectives in Vascular Research by Chiara Barisione, Jorge Miguel Mena Vera, Caterina Ivaldo, Silvia Ortona, Pier Francesco Ferrari, Paola Visconti, Michele Paudice, Martina Bastianon, Caterina Melani, Gaddiel Mozzetta, Valerio Vellone, Giovanni Pratesi, Domenico Palombo

“…Background: Biological knowledge and patient care have been significantly improved by the emergence of big data analysis and -omics sciences, requiring high quality standards for biospecimen and data collection. …”
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Fine particulate matter (PM2.5) induces microRNA-192–5p causing glomerular damage by Melina Yarbakht, George Sarau, Yanyi Xu, Xinyi Fang, Zeynab Mirzaei, René Krüger, Yalan Xiao, Arslan Usman, Christoph Daniel, Mario Schiffer, Silke Christiansen, Janina Müller-Deile

“…In this study, we characterized particulate matter (PM2.5) collected on air filters in Shanghai by scanning electron microscopy, energy dispersive X-ray spectroscopy, X-ray fluorescence, microwave plasma atomic emission spectroscopy, nanoparticle tracking analysis, and Raman spectroscopy. Cultured human podocytes, zebrafish, and mice were exposed to PM2.5 to assess possible effects on glomerular function and ultrastructure. …”
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A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost by Jawaria Nasir, Muhammad Aamir, Soofia Iftikhar, A. B. Albidah, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan, Wei Sin Koh

“…The analysis of the onset of deep non-linear modeling as a part of the machine learning process demonstrates how the discussed hybrid model successfully acquires relevant data and adapts a non-stationary function. …”
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Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province by Mehdii Jafari, Gholamreza Zehtabian, Hasan Ahmadi, Tayebeh Mesbahzadeh, Ali Akbar Norouzi

“…Material and methods: For data analysis of dust, data from dust collecting data was collected from the selected station in the study area with a suitable statistical period from the meteorological organization on a daily basis for 8 hours, in the form of special codes for the period of 2010 to 2013, which were processed and analyzed using statistical methods. …”
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Making the connection: social networks and type 2 diabetes among Black/African American Men: mixed-methods study protocol by Tyler Prochnow, Tyler Prochnow, Tyler Prochnow, Matthew Lee Smith, Matthew Lee Smith, Matthew Lee Smith, Megan S. Patterson, Jeong-Hui Park, Ledric D. Sherman, Ledric D. Sherman

“…The study aims to: (1) identify specific aspects of social networks related to T2D self-management adherence, and (2) characterize the formation and evolution of relationships that improve T2D self-management strategies. Quantitative data will be analyzed using multivariate and multilevel regression techniques, while qualitative data will undergo thematic analysis. …”
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NASP implication in the androgen receptor associated with castration resistance in prostate cancer by Yun Feng, Jin Sun, Xuan Kang, Yining Wang, Kai Liu, Wenfei Wang, Chen Wang, Yabin Li, Qian Zhao, Kaile Li, Fang-Lin Sun, Jianfeng Chang

“…In this study, using a pairwise cell model, LNCaP and its castration-resistant derivative C42B, we analyze the function of enhanced NASP protein in castration resistance. …”
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EF yolov8s: A Human–Computer Collaborative Sugarcane Disease Detection Model in Complex Environment by Jihong Sun, Zhaowen Li, Fusheng Li, Yingming Shen, Ye Qian, Tong Li

“…Building upon the YOLOv8 framework, the EMA attention mechanism and Focal loss function were added to optimize the model, addressing the complex backgrounds and imbalanced positive and negative samples present in the sugarcane data set. …”
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Implementing modified constraint-induced movement therapy after stroke in an early-supported discharge rehabilitation service: a process evaluation using RE-AIM QuEST by Ashan Weerakkody, Erin Godecke, Barby Singer

“…Quantitative data were analysed descriptively. Qualitative data were analysed using reflexive thematic analysis and mapped to the Capability, Opportunity, Motivation- Behaviour model for interviews and TDF for focus groups. …”
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POTA: A Pipelined Oblivious Transfer Acceleration Architecture for Secure Multi-Party Computation by Li Xiaolin, Yan Wei, Liu Hongwei, Zhang Yong, Hao Qinfen, Liu Yong, Sun Ninghui

“… With the rapid development and deployment of machine learning (ML) and big data technologies, which rely heavily on sensitive user data for training and inference, ensuring privacy and data security has become a pressing challenge. …”
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Elections as a means of citizens political education: A comparative study between Indonesia and Malaysia by Sunarso Sunarso, Suyato Suyato, Puji Wulandari Kuncorowati, Toba Sastrawan Manik, Ali Masykur Fathurrahman

“…The data were interpreted based on concepts, theories, and critical analysis. …”
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Identifying Molecular Properties of Ataxin-2 Inhibitors for Spinocerebellar Ataxia Type 2 Utilizing High-Throughput Screening and Machine Learning by Smita Sahay, Jingran Wen, Daniel R. Scoles, Anton Simeonov, Thomas S. Dexheimer, Ajit Jadhav, Stephen C. Kales, Hongmao Sun, Stefan M. Pulst, Julio C. Facelli, David E. Jones

“…Overall, these findings demonstrate that the integration of HTS analysis with data mining and machine learning is a promising approach for discovering chemical properties of candidate drugs for SCA2.…”
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From non-human to human primates: a translational approach to enhancing resection, safety, and indications in glioma surgery while preserving sensorimotor abilities by Matteo Gambaretti, Matteo Gambaretti, Luca Viganò, Luca Viganò, Matteo Gallo, Giovanni Pratelli, Tommaso Sciortino, Lorenzo Gay, Marco Conti Nibali, Alberto Luigi Gallotti, Alberto Luigi Gallotti, Leonardo Tariciotti, Luca Mattioli, Lorenzo Bello, Lorenzo Bello, Gabriella Cerri, Gabriella Cerri, Marco Rossi, Marco Rossi, Marco Rossi

“…By using data acquired on non-human primates as a reference, important progress in knowledge of the human brain and its functions has been achieved. …”
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Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction by Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ahmed Ali Ahmed, Junchao Ma, Mustafa A. Al Sibahee, Mohammed Abdulridha Hussain, Zaid Alaa Hussien, Ali Hasan Ali, Abdulla J. Y. Aldarwish, Husam A. Neamah

“…Specifically, our protocol attains a 66.696% reduction in computation costs, and a 70% increment in the supported security functionalities.…”
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Glycosylation of serine/threonine-rich intrinsically disordered regions of membrane-associated proteins in streptococci by Mohammad M. Rahman, Svetlana Zamakhaeva, Jeffrey S. Rush, Catherine T. Chaton, Cameron W. Kenner, Yin Mon Hla, Ho-Ching Tiffany Tsui, Vladimir N. Uversky, Malcolm E. Winkler, Konstantin V. Korotkov, Natalia Korotkova

“…We link this phenotype to the C-terminal IDR of the post-translocation chaperone PrsA. Our data reveal that O-linked glycosylation protects the IDR-containing proteins from proteolytic degradation and is critical for the biological function of PrsA in biofilm formation.…”
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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

“…After that, the linear discriminant analysis (LDA) algorithm is employed to reduce the dimensions, bringing down the total number of dimensions that are present in the input data. …”
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