SYSTEM OF PSYCHOLOGICAL PREVENTION AND ASSISTANCE TO THE SUBJECTS WITH THE EMOTIONAL BURNOUT SYNDROME by Надежда Ивановна Влах, Игорь Петрович Данилов

“…On the basis of the integration of ideographic and nomothetic approaches, the study used both low formalized and highly formalized (test) methods to reflect the post-nonclassical vector of the development of contemporary psychology. …”
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Inhibition of proliferation by PERK regulates mammary acinar morphogenesis and tumor formation. by Sharon J Sequeira, Aparna C Ranganathan, Alejandro P Adam, Bibiana V Iglesias, Eduardo F Farias, Julio A Aguirre-Ghiso

“…More importantly, the MCF10A cells expressing PERKDeltaC, but not a vector control, were tumorigenic in vivo upon orthotopic implantation in denuded mouse mammary fat pads. …”
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Spatial and temporal detection of 'Candidatus Liberibacter asiaticus' in Diaphorina citri through optimized scouting, sampling, DNA isolation, and qPCR amplification in California... by Nathaniel Ponvert, Frank Byrne, Monique J Rivera, Timo Rohula, Sandra Olkowski, Heshani De Silva Weligodage, Neil McRoberts, Judith K Brown

“…Huanglongbing (citrus greening disease) is caused by the bacterium 'Candidatus Liberibacter asiaticus' (CLas) (Alphaproteobacteria) and is one of the most destructive bacterial-vector diseases affecting the citrus industry. The bacterium is transmitted by the Asian citrus psyllid (ACP; Diaphorina citri). …”
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On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) C... by Gianmarco Baldini

“…Such attacks aim to hamper the ML classification process by poisoning the data set. Mitigation techniques are designed to counter this threat using different approaches. …”
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Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

“…The classifiers employed include Random Forest, Support Vector Machine (SVM), Gradient Boosting, and Logistic Regression, which were further refined using GridSearchCV, RandomizedSearchCV, and Optuna, with 3-fold cross-validation implemented to ensure robust evaluation of model performance. …”
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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

“…As systems and data processing become more diversified, security issues arise. …”
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Pupil Detection Algorithm Based on ViM by Yu Zhang, Changyuan Wang, Pengbo Wang, Pengxiang Xue

“…This algorithm introduces weighted feature fusion, aiming to enable the model to adaptively learn the contribution of different feature patches to the pupil detection results; combines ViM with the MSA (multi-head self-attention) mechanism), aiming to integrate global features and improve the accuracy and robustness of pupil detection; and uses FFT (Fast Fourier Transform) to convert the time-domain vector outer product in MSA into a frequency–domain dot product, in order to reduce the computational complexity of the model and improve the detection efficiency of the model. …”
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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception–ResNet Model by Md. Ahasan Kabir, Ivan Lee, Sang-Heon Lee

“…A feature selection algorithm was employed to enhance processing efficiency and reduce spectral dimensionality while maintaining high classification accuracy. …”
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Utilization of Unmanned Aerial Vehicle (UAV) for Topographic Survey Using Ground Control Points (GCP) from Geodetic GNSS by Nizamuddin Nizamuddin, Freddy Sapta Wirandha, Ardiansyah Ardiansyah

“…Aerial photo processing produces highresolution image data of 5 cm/pixel. …”
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Optimising window size of semantic of classification model for identification of in-text citations based on context and intent. by Arshad Iqbal, Abdul Shahid, Muhammad Roman, Muhammad Tanvir Afzal, Umair Ul Hassan

“…Deep learning-based word embedding techniques have garnered significant attention and found application in various Natural Language Processing (NLP) tasks, including text classification, sentiment analysis, and citation analysis. …”
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Research on the Trajectory and Relative Speed of a Single-Sided Chemical Mechanical Polishing Machine by Guoqing Ye, Zhenqiang Yao

“…Key advancements include (1) the development of closed-form trajectory equations for resolving multibody tribological interactions, (2) vector-based relative velocity quantification with 17 × 17 grid 3D visualization, and (3) first-principle parametric mapping of velocity nonuniformity (NUV = 0–0.42) across 0–80 rpm operational regimes. …”
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Post-release monitoring pathway for the deployment of gene drive-modified mosquitoes for malaria control in Africa by Dorington O. Ogoyi, Julia Njagi, Willy Tonui, Brinda Dass, Hector Quemada, Stephanie James

“…Subject to a rigorous risk assessment process for future GDMMs products, the concerns may then be prioritized for post-release monitoring.…”
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice by Nanthida Phattraprayoon, Teerapat Ungtrakul, Patiparn Kummanee, Sunisa Tavaen, Tanin Pirunnet, Todsaporn Fuangrod

“…The best performing model, Support Vector Machine (SVM), was implemented in a web-based application (AmberSNAP) and tested using blind testing dataset. …”
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The Impact of Cognitive Distortions on Decision Making in Agile Project Management Frameworks: Current Positions and Perspectives in the Academic Community by D. A. Khamitov

“…The author also identifies a possible further vector for the development of research in this direction. …”
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Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs by Seda Arslan Tuncer, Çağla Danacı, Sümeyye Coşgun Baybars

“…In the classification process, deep feature representations or feature maps of the images were created using eight different deep learning models of EfficientNet from B0 to B7. …”
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Electrical impedance-based tissue classification for bladder tumor differentiation by Carina Veil, Franziska Krauß, Bastian Amend, Falko Fend, Oliver Sawodny

“…Based on the distance of the feature vector of a unknown measurement to a healthy reference, a Gaussian process classifier is trained. …”
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Infinite plate loaded with normal force moving along a complex path by A. V. Galaburdin

“…For this purpose, a change in the Umov-Poynting vector is considered.Discussion and Conclusions. The results obtained can be used in calculations for road design. …”
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THE SIGNIFICANCE OF LEGAL REGULATION IN ENSURING CYBER SECURITY IN THE CONDITIONS OF WAR: EXPERIENCE FOR UKRAINE by Vladyslav Horulko

“…Ensuring an adequate level of cyber security is difficult to imagine without clearly planned joint actions and measures developed by responsible entities, which must be synchronized and implemented according to a single strategic plan and development vector of the national cyber security system of a declarative nature. …”
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"Preparation and wave-absorption performance of carbon nanotubes/methyl vinyl silicone rubber composites" by CHEN Zhe, GAO Zhen-liang, DONG Xin-xian, LIU Li, ZHANG Bao-gang

“…Multi-walled carbon nanotubes (MWCNTs)/methyl vinyl silicone rubber (VMQ) composites with electromagnetic shielding properties were prepared with MWCNTs as filler and VMQ as matrix, and the effects of MWCNTs addition amount on curing characteristics, mechanical properties, micromorphology, thermal stability, electrical conductivity and wave-absorption performance of the composites were characterized by rubber processing analyzer, tensile testing machine, scanning electron microscope, thermogravimetric analyzer, broadband dielectric impedance spectrometer and vector network analyzer. …”
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A Pythagorean fuzzy MCDM model for evaluating career happiness in sports by selecting a suitable sport by JiaYan Zhu, Zeng Jiao

“…Abstract This study explores an innovative application of the analytical hierarchy process (AHP) within the multi-criteria decision-making (MCDM) technique. …”
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