Empirical Study of Differentiated Learning Using The Moodle Platform on Personalized Informatics Subjects in Vocational High Schools by Jajang Kusnendar, Deni Darmawan, Rusman Rusman, Indriyani Rachman

“…The results showed that: 1) differentiated learning patterns were found, where each student had varied learning patterns and preferences on the teaching material provided; 2) process differentiation successfully facilitates diverse student learning abilities to achieve learning completeness; 3) Students respond positively to differentiated learning based on: distinctive learning preferences, material availability, readiness to learn, learning speed, and opportunity to complete learning. …”
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Asexuality vs. sexual interest/arousal disorder: Examining group differences in initial attention to sexual stimuli. by Julia Bradshaw, Natalie Brown, Alan Kingstone, Lori Brotto

“…Prior studies using eye-tracking methodologies have shown differing initial attention patterns to erotic stimuli between men and women, as well as between individuals of different sexual orientations. …”
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Adaptive Toeplitz convolution- enhanced classifier for anomaly detection in ECG big data by Lili Wu, Tao Li, Majid Khan Majahar Ali, Chenmin Ni, Ying Tian, Xiaojie Zhou

“…This approach combines inherent ECG features with the symmetry of Toeplitz matrices, effectively extracting features from ECG signals and reducing dimensionality. …”
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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

“…We find that some of those features are stylistic and have been previously identified in qualitative literature studies. …”
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Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. …”
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Review of Alessandra Seggi’s <i>Youth and Suicide in American Cinema: Context, Causes, and Consequences</i> (Palgrave Macmillan, 2022) by Mike F. Alvarez

“…In the arena of film analysis, two books that immediately come to mind are Steven Stack and Barbara Bowman’s (2011) Suicide Movies: Social Patterns 1900-2009, a magisterial study that plumbs 1,158 feature-length films for causes or motives for suicide and Claire Sisco King’s (2012) Washed in Blood: Male Sacrifice, Trauma and the Cinema, which examines the cultural and ideological work done by films on heroic suicides. …”
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Problems on the conceptualization of the contemporary city by Wiesław Maik

“…The new face of the city is formed by six co-occurring trends: the restructuring of the urban economic base, the formation of a global system of world cities, a radical change in urban spatial patterns, changes in the urban social structure, uncontrolled urban sprawl, and changes in the visual form of urban reality. …”
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Vehicle Motion Sickness Profiling Through Interpretable Gradient Boosting: A Framework for Advanced Driver Assistance Systems by Jon Ander Ruiz Colmenares, Estibaliz Asua

“…CatBoost also demonstrates superior interpretability by providing balanced and meaningful feature importance distributions. The combination of advanced performance and interpretability allowed the model to accurately detect diverse motion sickness-inducing scenarios and uncover critical risk patterns.…”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. For this purpose, a simulation of binocular gaze was developed for a) different calibration patterns and b) different noise characteristics. …”
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Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM by Zhou Xiaolong, Jiang Zhenhai, Ma Fenglei

“…Finally,by using support vector machine to identify the rolling bearing fault pattern and condition. The experiment results show that this method can identify rolling bearing fault patterns effectively and offer a practical method for its fault diagnosis.…”
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Multi-disciplinary team approach in the management of connective tissue disease-interstitial lung disease: The way forward by Ben Rowlands, Puja Mehta, Harsha Gunawardena

“…In some patients, ILD is associated with a clinical spectrum, whereas in some cases it is the presenting or dominant feature. A prompt and correct diagnosis of CTD-ILD is paramount, as early recognition and intervention are essential to deliver an optimal patient pathway and clinical outcomes. …”
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Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform by Mohammed Khedher, Ghayda Al-Talib, Shayma Al mashhadany

“…Manhattan distance measurement has been used to measure the similarity of an input feature vector to a number of numeral pattern classes. …”
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Analysis of software defined security model and architecture by Chunmei GUO, Jun MA, Hao GUO, Xueyao BI, Ruhui ZHANG, Shaomin ZHU, Congyi YANG

“…Currently,most enterprises have deployed information security defense system based on policy access control.With cloud computing environment deployment and network attacking technology development,security has been regarded as one of the greatest problems in the cloud computing environment.The advanced persistent attacks including of bypassing the traditional firewall easily,breaking through the black and white list and feature matching of the security defense mechanism have included to the traditional security system new challenges.The problem in the traditional tightly coupled security defense system of combining the virtual with the true for construction of network environments was described,and a software defined security model and framework was provided.The decoupling scheme of access patterns and deployment position in combining the virtual with the true for construction of network environments was realized,which provided a beneficial exploration in the field of the adaptive active safety for enterprise cloud computing environment.…”
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Graph-text contrastive learning of inorganic crystal structure toward a foundation model of inorganic materials by Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura

“…We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on the CLICS feature space, through experiments of concept prediction from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.…”
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Cognitive motivation in English complex intensifying adjectives by Silvia Cacchiani

“…Working on the assumption of parallel conceptualizations for intensifying phrases and word-formations, the chapter argues for three broad mechanisms of intensification in line with research on patterns of intensification in phrasal constructs: a degree type (all-new), a semantic-feature-copying type (snow-white, freezing cold), and a type where intensification relies on the integration of scales which associate with lexical meanings typically located in different knowledge domains (red hot and roaring drunk).…”
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Improving Machine Learning-Based Robot Self-Collision Checking with Input Positional Encoding by Kulecki Bartłomiej, Belter Dominik

“…The results demonstrate the benefits of incorporating positional encoding, which enhances classification accuracy by enabling the model to better capture high-frequency variations, leading to a more detailed and precise representation of complex collision patterns. The manuscript shows that machine learning-based techniques, such as lightweight multilayer perceptrons (MLPs) operating in a low-dimensional feature space, offer a faster alternative for collision checking than traditional methods that rely on geometric approaches, such as triangle-to-triangle intersection tests and Bounding Volume Hierarchies (BVH) for mesh-based models.…”
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CAD AND CAE METHODS IN COMPUTER ASSISTED DESIGN OF WORM MESHES by Henryk SABINIAK, Robert CICHOWICZ

“…One important feature of worm gear meshes is their complex geometry and now the application of computer aided design allows for mapping their real construction patterns with great affinity. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

“…Inflammatory-related COPD feature genes were selected using Lasso regression and random forest algorithms, and a COPD risk prediction model was constructed. …”
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Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model by Kenneth DeVoe, Gary Takahashi, Ebrahim Tarshizi, Allan Sacker

“…Identifying histological features, such as nuclear pleomorphism, increased mitotic activity, cellular atypia, patterns of architectural disruption, as well as invasion through basement membranes into surrounding stroma and normal structures, including invasion of vascular and lymphatic spaces, help to classify lesions as malignant. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…The model constructs feature vectors for all microbe-drug pairs based on known associations, microbe similarity, and drug similarity. …”
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