Modern researches of personality-psychological features in patients with somatoform disorders by V. V. Vasilyev, A. I. Mukhametova

“…The review considers the following directions of research in this area: studies of alexithymia, studies of somatosensory amplification, studies of the patients’ character features, studies of cognitive processes in SFD, studies of psychological defenses and coping strategies, studies in the framework of attachment theory, studies of socio-psychological factors of SFD development, integrative concepts of personality predisposition to SFD. …”
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Prevalence and Clinicopathologic Features of HER2 Overexpression in Endocervical Adenocarcinoma by Niusha Momeni, Fatemeh Nili, Fereshteh Ameli, Soheila Sarmadi, Elham Mirzaian, Farnaz Moravej-Salehi, Narges Zamani

“…Fluorescent in situ hybridization (FISH) assay was performed for 2+ stained cases. Invasion growth pattern and clinicopathologic features were investigated. …”
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Deterministic Fabrication of Fluorescent Nanostructures Featuring Distinct Optical Transitions by Marijn Rikers, Ayesheh Bashiri, Ángela Barreda, Michael Steinert, Duk-Yong Choi, Thomas Pertsch, Isabelle Staude

“…While various methods were already developed for creating localized emitters, in this work we present a new method for the deterministic fabrication of fluorescent nanostructures featuring well-defined optical transitions; it works with a minimal amount of steps and is scalable. …”
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Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

“…The main feature of the proposed approach is the use of the difference measure proposed by the authors based on determining the Hamming distance for test patterns consisting of symbols of different alphabets. …”
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“The Biggest Small Town in America”: Cross-generational Patterns of Monophthongization in the Suburban South by Marc-Philippe Brunet

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Prospects of using zein markers in breeding waxy maize lines and varieties by V. V. Sidorova, Yu. A. Kerv, G. V. Matveeva, A. V. Konarev

“…The present research pursued the following aims: to use zein elecrophoretic patterns (protein markers) in screening waxy maize landraces and lines for their identification and fingerprinting; to determine the biotype composition of landraces and their polymorphism and degree of relationship; and to demonstrate the possibility of applying zein markers in the development of new waxy maize inbred lines by backcrossing the wx1 gene into the initial dent maize line.Conclusions. …”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

“…This study aims to model students’ online learning behavior and accordingly predict their course achievement. First, feature vectors are developed using their aggregated action logs during a course. …”
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Composition pattern-aware web service recommendation based on depth factorisation machine by Bing Tang, Mingdong Tang, Yanmin Xia, Meng-Yen Hsieh

“…Web service composition has become a prevalent software development method that enables developing powerful Mashups by effectively combining Web services with different functions. …”
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Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures by Sifeng Li, Zhijin Wang, Chen Zhou

“…Fully developed laminar flow and heat transfer performance of V-pattern folded core sandwich structures subjected to forced convection are numerically investigated. …”
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Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. by Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun

“…By extracting and processing signal features through deep neural networks, and dynamically adjusting communication strategies with near-end optimization, the model effectively addresses the recognition and prediction of signal transmission feature parameters in target communication systems, generates interference signals with the same feature parameters, and achieves effective interference suppression. …”
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Osteoarthritis progression pattern based on patient specific characteristics using machine learning by Seong Yun Park, Myeong Ju Kim, Joon Hee Cho, Hee Seung Nam, Jade Pei Yuik Ho, Yong Seuk Lee

“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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Densenet Model for Binary Glaucoma Classification Performance Assessment with Texture Feature by Wildan Jameel Hadi, Amal Sufiuh Ajrash, Sahar Muneam Salman, Mays jalal jasim, Mina Taha Ibrahim

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Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. by Hidekazu Hishinuma, Hisako Takigawa-Imamura, Takashi Miura

“…We tested the method with Turing patterns and demonstrated its high accuracy and correspondence to analytical features. …”
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The impact of online food delivery applications on dietary pattern disruption in the Arab region by Radwan Qasrawi, Radwan Qasrawi, Suliman Thwib, Ghada Issa, Malak Amro, Razan AbuGhoush, Maha Hoteit, Maha Hoteit, Sahar Khairy, Narmeen Jamal Al-Awwad, Narmeen Jamal Al-Awwad, Khlood Bookari, Sabika Allehdan, Dalal Alkazemi, Haleama Al Sabbah, Salima Al Maamari, Asma H. Malkawi, Reema Tayyem

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A hybrid approach for pattern recognition and interpretation in age-related false memory by Noorbakhsh Amiri Golilarz, Elias Hossain, Shahram Rahimi, Hossein Karimi

“…This knowledge gap is partly due to limitations in current methodologies used to examine age-related cognitive changes and their origins.MethodsIn the present study, a hybrid approach was developed that combines optimized machine learning techniques with large-scale transformer-based language models to identify behavioral patterns distinguishing true from false memories in both younger and older adults. …”
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Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Classification discriminant functions were developed using linear discriminant analysis. Analysis of variance compared the differences in features between various plantar pressure distribution patterns. …”
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The Theoretical Pattern of Hekmat Islamic School from the Viewpoint of the Educational Implications of Intellect by Rahmatollah Marzoughi, Sajjad Rezaeian

“…Therefore, reliance on intellect and emphasizing the development of the intellectual dimension are the most important features of Islamic education and training. …”
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Investigating the Effect of the Physical Patterns of the Establishment Systems on the Comunity Spaces in Hawraman Architecture by Yousef Hamejani, Qader Bayzidi, Jalil Sahabi

“…Social interaction and the observation of diverse people's activities, by creating socializatioشn  help to develop individual and social development. Today, however, because of the arrival of manifestations of modernity to many human settlements and the absence of a pattern for modernization and improvement, we see several effects such as physical changes in open spaces,the destruction of the local tissues and, consequently, the reduction of social interactions. …”
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GENERALIZED ANALYSIS OF THE RESULTS OF GENETICALLY ENGINEERED BIOLOGICAL THERAPY: SEARCHES FOR NEW PATTERNS by Yakov Aleksandrovich Sigidin, G V Lukina

“…The clinical analysis of the results of genetically engineered biological therapy identifies a number of patterns of the mechanism of action of this therapy and the pathogenetic features of rheumatic diseases. …”
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Assessing Greece’s social vulnerability patterns in times of perma-crisis (2008–2022) by Michail Melidis, Stylianos Ioannis Tzagkarakis, Nikos Papadakis

“…IntroductionThe study aims to map and analyse the development of social vulnerability patterns in Greece through a perma-crisis context (economic crisis, austerity, covid-19, energy, and inflation crisis) over the period 2008-2022.MethodsThe paper rests on the construction of a composite index of four key pillars of social vulnerability (employment, living conditions, health, and education) consisting of 15 selected variables obtained from the official Eurostat datasets and using PCA analysis.ResultsOur findings show that social vulnerability patterns in Greece demonstrate a considerable shift during the stated period where certain social groups (i.e., NEETs and precarious workers) seem to suffer the most. …”
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