Accuracy and Precision Evaluation of Image-Based Computer Assisted Surgical System for Total Ankle Arthroplasty by Matthew C. Rueff MSc, Zach Tupper, Matthew Hamilton PhD, Prudhvi Chinimilli, Scott Gulbransen, Laureline Prouvost, Edward T. Haupt MD, Laurent Angibaud, Dipl Ing.

“…Therefore, a TAA application for CAS system was developed using CT-based alignment alongside required fluoroscopy with the intent of facilitating the procedure and improving accuracy of bone resections. …”
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Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

“…Also, direct germline testing for LS for every diagnosed solid cancer patient is a challenge in resource limited settings. We developed a unique machine learning scoring model to ascertain likely-LS cases from a cohort of colorectal cancer (CRC) patients. …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP. …”
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Bioinformatics Analysis Identifies Lipid Droplet‐Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer by Vijayalakshmi N. Ayyagari, Miao Li, Paula Diaz‐Sylvester, Kathleen Groesch, Teresa Wilson, Ejaz M. Shah, Laurent Brard

“…A four‐gene prognostic model was developed through LASSO‐based feature selection followed by multivariate Cox regression and validated using Kaplan–Meier survival and time‐dependent receiver operating characteristic (ROC) analyses. …”
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Deep learning based bio-metric authentication system using a high temporal/frequency resolution transform by Sajjad Maleki Lonbar, Akram Beigi, Nasour Bagheri, Nasour Bagheri, Pedro Peris-Lopez, Carmen Camara

“…As the need for robust automatic authentication systems increases, various methodologies—software, hardware, and biometric—have been developed. Among these, biometric modalities have gained significant attention due to their high accuracy and resistance to falsification. …”
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SEMANTIC ESSENCE OF QUALITY PREDICATES IN THE STRUCTURE OF A COMPOUND SENTENCE by Valentyna A. Tymkova

“…On the basis of this generalized classification of predicates I.R. Vykhovanets has developed a more specific, six-component classification, in which the predicates of quality are allocated to a separate semantic class by their essential characteristics, which distinguish them from other types of predicates. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Three machine learning algorithms—logistic regression, random forest, and support vector machine—along with recursive feature elimination, were used to rank these PCSAs. …”
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An extracellular vesicle based hypothesis for the genesis of the polycystic kidney diseases by Marie C. Hogan, Christopher J. Ward

“…Defects in the primary cilium or PKD-ELV assembly lead to cystogenesis, the major feature of ADPKD. The other important role for the PCC dependent PKD-ELV is the detection, packaging and extrusion of defective mitochondria. …”
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Analisis Penerimaan Teknologi Sistem Informasi Manajemen Tugas Menggunakan Model Task Technology Fit (TTF) by Ferdhy Ihza Armanda, Fajar Pradana, Widhy Hayuhardhika Nugraha Putra

“…To overcome these problems, a task management information system was developed to replace manual processes with more efficient automated functions. …”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

“…Subsequently, a Boruta-based feature selection algorithm was employed to identify those indices that exhibited significant correlations with the three target water parameters (FMC, FMCc,and r-FMCc). …”
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Abstract 185: Visual Recovery after Pituitary Apoplexy: Role of Intervention Timing and Treatment Modality by Nolan Brown

“…For the cohort of patients featured in the studies describing intervention timing, there was a total of 322 patients, of which 269 (83.6%) identified as male. …”
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Inter-protomer opening cooperativity of envelope trimers positively correlates with HIV-1 entry stoichiometry by Revansiddha H. Katte, Wang Xu, Yang Han, Xinyu Hong, Maolin Lu

“…These insights enhance our understanding of HIV-1 infection mechanisms and could inform strategies for developing effective inhibitors or neutralizing agents.…”
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Mass media representation of suicide in a high suicide state in India: an epidemiological comparison with suicide deaths in the population by Thomas Niederkrotenthaler, Lakshmi Vijayakumar, Gregory Armstrong, Jane Pirkis, Mala Jayaseelan, Anish Cherian, Jane Brandt Soerensen, Vikas Arya

“…Reports of suicides are a routine feature in major newspapers in India, and reporters may selectively present ‘newsworthy’ suicide stories. …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…The data are cleaned, standardized, and feature-engineered to meet the input requirements of neural network models. …”
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Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer by Jing Sun, Pu-Yeh Wu, Fangmin Shen, Xingfa Chen, Jieqiong She, Mingcong Luo, Feifei Feng, Dechun Zheng

“…Clinical factors, including sex, primary tumor site, CEA level, and CA199 level were assessed. A clinical feature (CF) model was first developed by multivariate logistic regression, then two residual network DL models were constructed based on multiparametric MRI of primary cancer with or without CF incorporation. …”
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Ammonia‐free natural rubber latex photo‐resin for sustainable 3D printing of highly stretchable and tough elastomers by Oliyad Dibisa, Allen Jonathan Román, Hannah Cabush, Grace O'Brien, Xiao Kuang, Tim A. Osswald

“…They often rely on short‐chain oligomers that form brittle, dense polymer networks, limiting their performance in high‐demand applications, especially for elastomeric materials. In this study, we developed an ammonia‐free natural rubber latex‐based photo‐resin featuring an ultra‐high molecular weight polymer with low viscosity (<10 Pa·s) and rapid curing speed (~11 s, corresponding to gelling point), making it highly suitable for VPP. …”
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Unveiling Hidden Aspects of Intermediary Organizations in Innovation: A Systematic Review through the Lens of Industry Taxonomy by Mostafa Mohseni kiasari, ‌Javad Soltanzadeh, Amirhossein Azizi Hasanabadi, Hamed Talebi

“…These criteria included: (1) studies pertaining to mediating and innovative institutions (organizations), (2) articles published exclusively in English, (3) articles featuring at least one of the selected keywords in the title, abstract, or keywords, and (4) articles published in esteemed journals indexed as Q1 and Q2.   …”
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Composition of Flavorings for Home-Made Alcoholic Beverages by Andrey V. Oberenko, Sergei V. Kachin, Sergei A. Sagalakov, Artem D. Yakovlev, Natalia A. Kozel

“…The research featured flavorings of different brands that imitate flavor profiles of cognac, chacha, tequila, brandy, gin, and liqueur. …”
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Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review by Liu Haixian, Liu Haixian, Pang Shu, Pang Shu, Li Zhao, Li Zhao, Lu Chunfeng, Lu Chunfeng, Li Lun

“…End-to-end deep-learning models simultaneously perform feature extraction and classification, capturing not only traditional radiomic signatures such as tumour density and texture but also peri-tumoural micro-environmental cues, thereby offering a higher theoretical performance ceiling than hand-crafted radiomics coupled with classical machine learning. …”
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Autobiographical memory in Alzheimer’s disease: a systematic review by Chiara Stramba-Badiale, Fabio Frisone, Fabio Frisone, Fabio Frisone, Fabio Frisone, Diana Biondi, Giuseppe Riva, Giuseppe Riva

“…IntroductionAutobiographical memory impairment is a significant feature of Alzheimer’s disease (AD), affecting patients’ ability to recall personal life events and maintain their sense of self. …”
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