Exploring parameter dependence of atomic minima with implicit differentiation by Ivan Maliyov, Petr Grigorev, Thomas D. Swinburne

“…The implicit expansion accurately predicts lattice distortion and defect formation energies and volumes with classical and machine-learning potentials, enabling high-dimensional uncertainty propagation without prohibitive overhead. …”
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Changing States of Multistage Process Chains by Thorsten Wuest, Christopher Irgens, Klaus-Dieter Thoben

“…A supervised machine learning based feature ranking method is used to identify and rank relevant state characteristics and thereby the processes’ inter- and intrarelationships. …”
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Challenges in teaching students to plot equations: Another impact of graphing procedures by Ulumul Umah, Ana Rahmawati

“…This research implies that teachers must consider the students' difficulties and mistakes to avoid becoming didactic learning obstacles. In studying plotting point procedures, students' knowledge must include understanding concepts related to graphs, such as the meaning of points and graph concavity, graph shifts, and the relationship between the discriminant of a quadratic equation and its graph.…”
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Understanding Fetal Alcohol Spectrum Disorders (FASDs): Toward Identification of a Behavioral Phenotype by Kelly Nash, Erin Sheard, Joanne Rovet, Gideon Koren

“…Researchers investigating the profiles of children with FASDs have found impairments in learning and memory, executive functioning, and language, as well as hyperactivity, impulsivity, poor communication skills, difficulties with social and moral reasoning, and psychopathology. …”
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Realization of Students’ Academic Rights: Russia in the Bologna Process by G. M. Romanova, V. P. Erdakova, M. A. Maznichenko

“…The article considers the existing practice of realizing students’ academic rights in Russia in comparison with foreign countries (USA, European Union) and in the context of the key principles of the Bologna process (quality assurance, use of the credit system (ECTS), increased mobility, lifelong learning, student-centeredness, social dimension and social accessibility). …”
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Distrust Spillover in Sharing Accommodation: Evidence From Airbnb in Beijing by Xin Jin, Bo Wang, Ning Ma

“…Beijing Airbnb listings data were collected and analyzed using sentiment analysis, machine learning, and econometric statistics in English and Chinese languages. …”
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CONSTRUCTION OF THE FUTURE: THE EXPERIENCE OF PHASED IMPROVEMENT OF ENGINEERING EDUCATION by G. E. VESELOV, N. A. LYZ’, A. E. LYZ’

“…The article describes the most effective measures of the first stage of improving engineering education: the creation of university education-al standards, the use of project-based learning, the contest of lecturers, the independent assessment of educational outcomes, the interaction with employers, the elaboration of a system of activities with schoolchildren and etc.…”
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RoboTable: An Infrastructure for Intuitive Interaction with Mobile Robots in a Mixed-Reality Environment by Haipeng Mi, Aleksander Krzywinski, Tomoki Fujita, Masanori Sugimoto

“…Using this platform, prototype applications are developed for two different application domains: RoboPong investigates the efficiency of the RoboTable system in game applications, and ExploreRobot explores the possibility of using robots and intuitive interaction to enhance learning.…”
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Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach by Noah Oghenefego Ogwara, Krassie Petrova, Mee Loong Yang

“…The selected features used to train the ML (machine learning) model of the intrusion detection component comprised a binary detection engine for the identification of malicious/attack packets and a multiclassification detection engine for the identification of the type of attack. …”
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Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models by Nhat-Duc Hoang

“…The new model is an integration of image processing techniques and machine learning approaches. The Gabor filter supported by principal component analysis and k-means clustering is used for identifying the region of interest within an image sample. …”
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Gaussian Pyramid for Nonlinear Support Vector Machine by Rawan Abo Zidan, George Karraz

“…Support vector machine (SVM) is one of the most efficient machine learning tools, and it is fast, simple to use, reliable, and provides accurate classification results. …”
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COMPUTER LITERACY AMONG IAIN LHOKSEUMAWE STUDENTS by Wahidah

“…They should have skill and positive attitudes toward computer to achieve effective teaching and learning process. This study aimedto measure the computing skills, knowledge of IAIN Malikussaleh students about computers, also their attitude toward computers. …”
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Integrative Teaching Strategy for Developing Writing Skills in Non-Linguistics Master Students by E. A. Komochkina, L. V. Yarotskaya

“…The paper also focuses on some ways of implementing the strategy relative to the integration of traditional and online teaching of master students through their investigating specialist discourse elements, identifying formulaic expressions and grammar patterns with a view to using them in their profession-related discourse, learning to rely on those findings in producing a coherent text, and thus, developing their capacity to write clearly and effectively.…”
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Rusçuk Çiftlikleri ve Çiftlik Piyasasında Eski Aktörler, Yeni Figürler by Ahmet İlker BAŞ

“…Data extracted from sale contracts in the kadı records enable researchers to track changes in the profiles of çiftlik sellers and buyers in a period of commercialization of agriculture. Learning what kind of socio-economic and political capital owners are more interested in çiftliks ownership through honorific titles and elkâbs helps to comprehend at least one dimension of transformation of Ottoman provinces in 17th and 18th centuries. …”
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Multivariate Image Analysis Applied to Cross-Laminated Timber: Combined Hyperspectral Near-Infrared and X-ray Computed Tomography by Dietrich Buck, Olle Hagman

“…In exploring ways of improving efficiency, this study explores multivariate image analysis (MIA) via partial least squares discriminant analysis (PLS-DA) machine learning as a means to classify CLT material features. …”
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Feasibility Analysis of Illustrated Concept Map-Based Handouts on Plant and Animal Organ System Material by Erna Diana, Mulyadi

“…Teaching materials at MAS Al-Manar are limited to printed books, which hinders students' access to a variety of learning sources, particularly in abstract Biology topics. …”
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The Experience of Using «Virtual Petrolab» – Virtual Petrophysical laboratory for Mobile Devices in the Educational Process by E. V. Shelyago, N. D. Shelyago

“…Using of mobile devices as a main platform for a virtual laboratory allowed the maximum involvement of the student audience in the educational process, improved the learning quality during workshops, received positive feedback from the students. …”
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The Regulation Impact of Foreign Ownership on the Cooperation Projects Air Transportation by I Dewa Gede Palguna, Anak Agung Gede Duwira Hadi Santosa, Made Cinthya Puspita Shara, Alia Yofira Karunian

“…Second, based on the Indonesian Constitution, ownership of air transportation should be under the state's authority, learning from China, which excessively applies foreign investors in the air transportation sector, causing consumer welfare to be affected by very high airplane ticket prices.…”
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From threat to response: Cybersecurity evolution in Albania by Klorenta PASHAJ, Vilma TOMÇO, Eralda GJIKA

“…One key recommendation is the forecasting of cyber-attacks, which could benefit from the application of time-series and machine learning techniques to enhance predictive capabilities. …”
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‘Soltanto le montagne non si incontrano’. Buone pratiche per il recupero di colture/culture locali fra tradizione e innovazione by Laura Bonato

“…This example will be useful to show that the reintroduction of local and historically documented crops, if it revitalises the regional economy and at the same time protects the environment, will allow us to emphasise that investigating the Alpine space through the implementation of models of cultural and economic sustainability, emphasising the relational network and strengthening integration and behaviour through knowledge-learning-remembering, involves local communities in a more active role in society.…”
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