GEOGRAPHICAL – HISTORICAL PATTERNS OF ROMANIAN IDENTITY by Dr. Petre Gheorghe BÂRLEA

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On the Philosophic Meaning of the “Conflict Pattern” Term by B. V. Kabylinskii

“…The pattern is understood as a systematic repetition of elements in conflict reality that occurs with ontological necessity, regardless of the variable features of being-in-conflict. …”
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Modeling invasion patterns in the glioblastoma battlefield. by Martina Conte, Sergio Casas-Tintò, Juan Soler

“…In the infiltration front, the key features of tumor dynamics relate to biochemical and biomechanical aspects, which result in the extension of cellular protrusions known as tumor microtubes. …”
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The masked puppet as pattern of semiotics and aesthetics by Alexander V. Markov, Oksana A. Shtayn

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Cardioprotective dietary pattern of Siberian population by Darya P. Tsygankova, Evgeny D. Bazdyrev, Alena S. Agienko, Olga V. Nakhratova, Elena V. Indukaeva, Galina V. Artamonova, Olga L. Barbarash

“…Background — Analysis of eating habits can help identify cardioprotective dietary patterns. It is necessary to qualitatively study the diet of modern inhabitants of Siberia and identify food stereotypes that contribute to effective cardiac prophylaxis. …”
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Identifying etiological pattern for postpartum complications by D. F. Kurbanova, S. G. Sultanova, F. R. Hajiyevа

“…Postpartum complications hold one of the leading places in the pattern of gynecological diseases.Aim: to study the clinical and laboratory features of developing postpartum inflammatory complications.Materials and Methods. …”
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DERMATOSCOPIC FEATURES OF DYSPLASTIC NEVI by Andrii V. Prokhach, Tetiana V. Svyatenko, Vadym A. Hurtovyi

“…We determined 13 dermatoscopic features that accompany DN: structureless areas, irregular globules, atypical pigment network, gray dots, blotches (hyperpigmentation), blue-white veil, negative pigment network, polymorphous vessels, “starburst” pattern, angulated lines, multiple colors, regression structures, pseudopods. …”
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Morphological features of autoimmune gastritis by Ye. A. Losik, L. S. Selivanova, M. Yu. Konkov, T. L. Lapina, A. S. Tertychnyi, V. T. Ivashkin

“…Pseudo-hypertrophy of parietal cells was the unique morphological feature found out in these cases. At all patients involvement of antral region of the stomach was marked. …”
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Individual Identification of Holstein Cows from Top-View RGB and Depth Images Based on Improved PointNet++ and ConvNeXt by Kaixuan Zhao, Jinjin Wang, Yinan Chen, Junrui Sun, Ruihong Zhang

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Features of distribution and efficiency of saury fishery in dependence on oceanographic conditions in the South-Kuril Region on data of satellite observations in August-November of... by Yury V. Novikov, Eugene V. Samko

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Fundamental Understanding of Magnetic Reconnection via Spiral CT Scan. II. Ion-velocity Pattern and Electron-velocity Pattern by H. S. Fu, Z. Wang, J. B. Cao

“…With the help of such an advanced technique, we find two interesting features of ion velocities: (1) in the reconnection plane, ion velocities are diverged to form a “saddle-shape” pattern surrounding the X-point at scale above 0.5 d _i (ion inertial length), but are stochastic near the X-point at scale below 0.5 d _i ; (2) in the out-of-plane direction, ion velocities are large in the magnetosphere, but are small in the magnetosheath. …”
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Dude, everyone wants pattern analysis tools (DEWPAT): Tools for measuring visual pattern complexity from digital images by Jillian A. Sanderson, Tristan Aumentado‐Armstrong, Charles‐Olivier Dufresne‐Camaro, D. Luke Mahler

“…DEWPAT has the potential to quantitatively characterize complex pattern phenotypes in ways that make their features available for biological analysis.…”
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Stator Insulation Partial Discharge Test and Reliability Evaluation of Traction Motor by Yuenan LIU, Min GENG, Junfeng GUI, Ruizhen CUI, Xilian WANG

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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…Abstract Feature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. …”
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Feature-enriched hyperbolic network geometry by Roya Aliakbarisani, M. Ángeles Serrano, Marián Boguñá

“…Through this framework, we can identify correlations between nodes and features in real data and generate synthetic datasets that mimic the topological properties of their connectivity patterns. …”
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Evaluation of the respiratory function in myasthenia gravis: an important tool for clinical feature and diagnosis of the disease Avaliação da função respiratória na miastenia gravi... by Paulo A. P. Saraiva, José Lamartine de Assis, Paulo E. Marchiori

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Spatiotemporal feature learning for actin dynamics. by Siddhartha Saha, Qixin Yang, Wolfgang Losert, Alexandre V Morozov, Anirvan M Sengupta

“…The social amoeba Dictyostelium discoideum is a standard model system for studying cell motility and formation of biological patterns. D. discoideum cells form protrusions and migrate via cytoskeletal reorganization driven by coordinated waves of actin polymerization and depolymerization. …”
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A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain by Parnika Bhat, Kamlesh Dutta

“…These malware detectors classify target applications based on the patterns found in the features present in the Android applications. …”
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Examine the Relationship between Lifestyle and Religious Identity (Case Study: 18-30 Years Young Boukan City and Three Villages (Salamat, Kora Kani and Golulane Sofla)) by seyed ahmad firouzabadi, hossein mirzaei, khaled jazebi

“…Unlike in the past where the alleged identity was based on a series of features, and people get their identity from parents; the feature of new era is that the right to determination and to choose their identity has been transferred to themselve. …”
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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion by Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar

“…Additionally, a Gini-based feature selection method is implemented to prioritize the most discriminative features, and the extracted features from each network are optimally combined using a fusion technique modeled after a linear production function, maximizing each model’s contribution to the final prediction. …”
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