Neuroscience examined by the clinical and the social science by Émilie Bovet, Cynthia Kraus, Francesco Panese, Vincent Pidoux, Nicholas Stücklin

“…The second set deals with attempts to understand the cerebral bases of mental pathology and the instruments, substances and methods aimed at modifying mental states. It also deals with the transformation of the role of experts and clinical research with evidence-based medicine. …”
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Investigation on the physical–mechanical response characteristics and failure mechanisms of shale under the laser thermal field by Yuze Du, Jing Xie, Zheqiang Jia, Li Ren, Zeyu Zhu, Junjun Liu, Lei Yang, Ting Ai, Bengao Yang, Mingzhong Gao

“…The investigation methodically explored how shale responded to thermal fracture at high temperatures when exposed to laser irradiation with different spot diameter. …”
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Rapid cooling process-driven enhancement of an orthorhombic phase in ferroelectric HfZrOx of sub-3 nm ultrathin films by atomic layer deposition by So Yeon Shin, Yeon-Je Yu, Ae Rim Choi, Dohee Kim, Ja-Yong Kim, Seung Wook Ryu, Il-Kwon Oh

“…Together with the post-metallization annealing (PMA) process, the most common method for enhancing and transforming ferroelectric properties, we determined that the cooling process after PMA is also crucial. …”
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Enantioselective construction of silicon-stereogenic vinylsilanes from simple alkenes by Kailin Yin, Jinyu Zhang, Deng Pan, Shu-Han Chen, Song Chen, Yufeng Shi, Genping Huang, Dongbing Zhao

“…The practicality of this method is further exemplified by the diverse downstream transformations of these enantioenriched silicon-stereogenic vinylsilanes leveraging the olefin functionality and the leaving group nature of the aryl substituent on silicon as well as the development of chiral π-conjugated double bond systems.…”
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Developing the System of Digital Management of Organization by V. V. Maslennikov, Yu. V. Lyandau, I. A. Kalinina

“…Digitalization with methods of artificial intellect, computer technologies and digital platforms in Russian business and organization management today is becoming a reality. …”
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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks by Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng

“…However, due to the difficulty in determining the LOF threshold, a method of dynamically calculating the threshold based on the transformer districts and time is proposed. …”
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Exosome isolation and characterization for advanced diagnostic and therapeutic applications by Nobendu Mukerjee, Arghya Bhattacharya, Swastika Maitra, Mandeep Kaur, Subbulakshmi Ganesan, Shivang Mishra, Ayash Ashraf, Muhammad Rizwan, Kavindra Kumar Kesari, Tanveer A. Tabish, Nanasaheb D. Thorat

“…Advancements in exosome isolation technologies are pivotal for transforming personalized medicine and enhancing clinical diagnostics. …”
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Impaired response inhibition to negative emotional stimuli in depressed adolescents with non-suicidal self-injury: a neurophysiological perspective by Lin Zhao, Su Hong, Xinyu Peng, Xiaoqing He, Jinhui Hu, Lingli Ma, Xinyi Liu, Wanqing Tao, Ran Chen, Zhenghao Jiang, Chenyu Zhang, Jing Liao, Jiaojiao Xiang, Qi Zeng, Linqi Dai, Qi Zhang, Wo Wang, Li Kuang

“…The ERP time-domain features related to response inhibition were extracted from the difference waves, converted to the time-frequency features using the short-time Fourier transform (STFT), and the time-frequency values of the region of interest (ROI) were extracted and statistically analyzed.ResultsUnder exposure to negative emotional stimuli, depressed adolescents with NSSI exhibited significantly larger P300 amplitudes compared to both depressed adolescents and healthy controls. …”
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Automated Detection of High Frequency Oscillations in Intracranial EEG Using the Combination of Short-Time Energy and Convolutional Neural Networks by Dakun Lai, Xinyue Zhang, Kefei Ma, Zichu Chen, Wenjing Chen, Heng Zhang, Han Yuan, Lei Ding

“…The proposed methodology presents the following significant advantages: 1) compared with the recently reported HFOs detector based on the CNN using only the 1D temporal EEG signal, the proposed method achieves a higher accuracy using the deep CNN classifier on 2D time–frequency map of HFOs, of which the evaluated sensitivity and false discovery rate (FDR) for identifying ripples are 88.16% and 12.58%, respectively, and the corresponding sensitivity and FDR are 93.37% and 8.1% for detecting fast ripples, respectively; 2) it is capable of automatically extracting the shared features of HFOs events of different patients and would be much robust, unlike other automated methodologies proposed in the literature where the characteristics of HFOs were extracted manually on the basis of researchers’ knowledge, which, probably, is prone to observer bias; and 3) with the proposed STE estimation, all suspicious ripples and fast ripples could be initially found out and transformed into time–frequency map for subsequently CNN-based classification, rather than transforming and classifying the raw data, thus requiring a lower computational resource. …”
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Dispersión sísmica por presencia de capas someras de alta velocidad: modelamiento con diferencias finitas by Céspedes Sandra, Quintana Robinson, Ghisays Alfredo, Pérez Gabriel, Montes Luis

“…Despite conventional methods to eliminate noise mainly based in a mathematical approach, i.e., F-K analysis, Radon transform, we apply a deterministic scheme based on the modeling of wave propagation, generating the unwanted signals (Ernst <em>et al., </em>1998; Blonk <em>et al., </em>1995; Blonk and Hermann, 1994).…”
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Comparative Analysis of Phraseological Units with Somatic Components in the Erzya and Finnish Languages by Natalya M. Mosina, Ekaterina D. Karpunina

“…The method of continuous sampling was employed to extract these units. …”
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Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

“…It addresses the challenges posed by the high dimensionality and noise of microarray data, aiming to integrate the strengths and limitations of various methods while exploring their applicability across different scenarios. …”
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Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation by Alessandra Fusco, Zain Amir Zaman, Souvik Hazra, Lorenzo Servadei, Robert Wille

“…The augmentation techniques employed in this research include time scaling, range and angle transformation, and noise injection, effectively simulating different gesture speeds, orientations, distances, and interference levels. …”
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Deep learning enhanced light sheet fluorescence microscopy for in vivo 4D imaging of zebrafish heart beating by Meng Zhang, Renjian Li, Songnian Fu, Sunil Kumar, James Mcginty, Yuwen Qin, Lingling Chen

“…With the fast generation of appropriate training data via flexible switching between confocal line-scanning LSFM (LS-LSFM) and conventional LSFM, this method achieves a three- to five-fold signal-to-noise ratio (SNR) improvement and ~1.8 times contrast improvement in ex vivo zebrafish heart imaging and long-term in vivo 4D (3D morphology + time) imaging of heartbeat dynamics at different developmental stages with ultra-economical acquisitions in terms of light dosage and acquisition time.…”
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Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

“…The research provides a detailed analysis of energy application types and methods, as well as energy consumption models for each of the aforesaid three types of green spaces.ResultsThe research identifies three core challenges in the application of renewable energy in urban green spaces: 1) How to scientifically select the most appropriate renewable energy types and optimize spatial layouts in accordance with natural resource constraints and the functional requirements of green spaces in order to improve energy efficiency; 2) how to effectively integrate the technical functions of energy facilities with landscape and ecological values, so as to achieve a seamless integration of energy infrastructure with landscape, thereby enhancing both environmental adaptability and public acceptance; and 3) how to develop flexible energy utilization and management strategies tailored to the energy consumption characteristics of different green space types, thus ensuring long-term, stable, and sustainable energy supply. …”
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Morphofunctional state of erythrocytes in benign obstructive jaundice by R. A. Pakhomova, Yu. S. Vinnik, L. V. Kochetova, Yu. S. Nagornov

“…Structural and functional properties of erythrocytes were researched in patients with benign obstructive jaundice of different degree of severity. MATERIAL AND METHODS. …”
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Detection and recognition of unsafe behaviors of underground coal miners based on deep learning by GUO Xiaoyuan, ZHU Meiqiang, TIAN Jun, ZHU Beibei

“…To address challenges such as multi-scale variations in underground targets, occlusion of moving objects, and the excessive similarity between targets and the environment, a deep learning-based method was proposed for detecting and recognizing unsafe behaviours of underground coal miners. …”
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The Reception of Crime and Punishment in the Works of Vladimir Nabokov by Elena V. Zaitseva

“…The novel Invitation to Execution, which is full of references to Dostoevsky, most clearly, according to researchers, illustrates the method of fantastic realism, the origins of which should be found in Dostoevsky, and the theme of crime and punishment in it is, as it were, inverted. …”
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PUBLIC INTEREST OF DA’I AND DA’IYAH VIRALITY IN INDONESIA by Risma Alviyanti, Anshar Akil

“…Digital transformation has reshaped preaching methods in Indonesia. …”
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Assessing aesthetic impressions with pictorial measures: A novel approach in empirical aesthetics by Ivan Z. Stojilović

“…This study introduces pictorial technique (PT) as an innovative method in empirical aesthetics to assess aesthetic impressions of visual artworks. …”
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