3D bioprinted unidirectional neural network and its application for alcoholic neurodegeneration by Mihyeon Bae, Joeng Ju Kim, Jinah Jang, Dong-Woo Cho

“…This study proposes the development of a 3D bioprinted engineered neural network (BENN) model to replicate the physiological features of the brain, suggesting its application as a tool for studying neurodegenerative diseases. …”
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Fatty acid filled polyaniline nanofibres with dual electrical conductivity and thermo-regulatory characteristics: Futuristic material for thermal energy storage by Tanwar Surya, Varshney Gunjan, Kaur Raminder

“…Thermogravimetric analysis revealed a multi-step deterioration pattern, demonstrating the developed nano-encapsulated-phase change material’s (PCMs’) exceptional thermal stability. …”
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Chronostructure and circadian rhythms of the parameters of the coagulation system and neurohumoral regulatory systems determining diurnal profile of blood pressure by A.O. Ostapenko, Yu.O. Klitsunova, A.S. Kulbachuk, L.L. Vorontsova

“…Physiological features of hemostasis chronobiological characteristics in patients with coronary heart disease are present. …”
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Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe by Gibbon I. T. Masukwedza, Victoria L. Boult, Melissa Lazenby, Martin C. Todd

“…Furthermore, LARDS exhibit overarching anticyclonic conditions impeding vertical cloud development with notable changes in the key local large‐scale mean climatic features influencing Southern Africa's weather. …”
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Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

“…Accurate identification of the types of forest trees can lay the foundation for the research and utilization of forest resources. With the development of remote sensing technology, traditional optical remote sensing can only describe the horizontal pattern of ground features, which makes it difficult to identify single tree species. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Conclusion: AI is transforming radiology with diverse applications, but it still needs development to match human expertise.…”
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Laser Guard: Efficiently Detecting Laser-Based Physical Adversarial Attacks in Autonomous Driving by Lijun Chi, Mounira Msahli

“…Such AEs have distinct pattern features, significant occupation, high contrast, and low variance. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…This will result in the development of new machine-learning paradigms and a significant advancement in the field of quantum computation. …”
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Mechanistic computational modeling of sFLT1 secretion dynamics. by Amy Gill, Karina Kinghorn, Victoria L Bautch, Feilim Mac Gabhann

“…In doing so, sFLT1 plays an important role in vascular development and in the patterning of new blood vessels in angiogenesis. …”
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Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning by Alok Dhaundiyal, Laszlo Toth

“…This article aimed to incorporate the coordinated construction of classifiers to develop a model for predicting the pyrolysis of loose biomass. …”
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CLINICAL AND ELECTROENCEPHALOGRAPHIC CHARACTERISTICS OF IDIOPATHIC CHILDHOOD FOCAL EPILEPSY WITH CENTROTEMPORAL SPIKES by K. Yu. Mukhin

“…Sulthiame (ospolot) as monotherapy is used in Germany.Based on their findings and the data available in the literature, the authors consider the etiology, pathogenesis, clinical manifestations of RE and its diagnosis, treatment principles, and prognosis. The specific features of the electroencephalographic pattern in this disease are detailed.…”
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Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study by Zilei Tian, Ziyang Ma, Beihong Dou, Xiaopeng Huang, Guangsen Li, Degui Chang, Tao Yin, Peihai Zhang

“…Furthermore, a classifier was developed based on a support vector classification algorithm and cortical morphological features to explore the feasibility of discriminating between pED patients and HC at an individual level. …”
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Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study by Yan Tong, Zhi Wen, Xin Huang

“…BackgroundThis study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. …”
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The effectiveness of automatic laparoscopic diagnostics of liver pathology using different methods of digital images classification by D. N. Bayazitov, N. V. Kresyun, А. B. Buzinovsky

“…Aim: to evaluate the effectiveness of the CAD systems developed on the basis of two classifiers – HAAR features cascade and AdaBoost for the detection of cirrhotic and metastatic damages of the liver. …”
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Distinct brain atrophy progression subtypes underlie phenoconversion in isolated REM sleep behaviour disorderResearch in context by Stephen Joza, Aline Delva, Christina Tremblay, Andrew Vo, Marie Filiatrault, Max Tweedale, Jean-François Gagnon, Ronald B. Postuma, Alain Dagher, Johannes Klein, Michele Hu, Petr Dusek, Stanislav Marecek, Zsoka Varga, John-Paul Taylor, John T. O'Brien, Michael Firbank, Alan Thomas, Paul C. Donaghy, Stéphane Lehéricy, Marie Vidailhet, Jean-Christophe Corvol, ICEBERG Study Group, Richard Camicioli, Howard Chertkow, Simon Lewis, Elie Matar, Kaylena A. Ehgoetz Martens, Lachlan Churchill, Michael Sommerauer, Sinah Röttgen, Per Borghammer, Karoline Knudsen, Allan K. Hansen, Dario Arnaldi, Beatrice Orso, Pietro Mattioli, Luca Roccatagliata, Oury Monchi, Shady Rahayel, Isabelle Arnulf, Samir Bekadar, Eve Benchetrit, Alexis Brice, Vanessa Brochard, Alizé Chalançon, Benoit Colsch, Florence Cormier-Dequaire, Jean-Christophe Corvol, Virginie Czernecki, Bertrand Degos, Cécile Delorme, Pauline Dodet, Carole Dongmo-Kenfack, Marie-Odile Habert, Farid Ichou, Jonas Ihle, Cécile Galléa, Rahul Gaurav, Marie-Alexandrine Glachant, Manon Gomes, David Grabli, Elodie Hainque, Laetitia Jeancolas, Christelle Laganot, Stéphane Lehéricy, Suzanne Lesage, Smaranda Leu-Semenescu, Richard Levy, Valentine Maheo, Graziella Mangone, Louise Laure Mariani, Aurelie Méneret, Poornima Menon, Fanny Mochel, Vincent Perlbarg, Dijana Petrovska, Fanny Pineau, Nadya Pyatigorskaya, Sophie Rivaud-Pechoux, Emmanuel Roze, Sara Sambin, Julie Socha, Arthur Tenenhaus, Romain Valabregue, Marie Vidailhet, Lydia Yahia-Cherif

“…Interpretation: There are two distinct atrophy progression subtypes in iRBD, with the cortical-first subtype linked to an increased likelihood of developing DLB, while both subtypes were associated with worsening parkinsonian motor features. …”
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The potential of agroforestry to reduce atmospheric greenhouse gases in Canada: Insight from pairwise comparisons with traditional agriculture, data gaps and future research by Mark Baah-Acheamfour, Scott X. Chang, Edward W. Bork, Cameron N. Carlyle

“…However, additional research is required to verify this pattern across geographic regions, determine the regional potential for development of agroforestry systems, and assess the potential atmospheric GHG reduction at regional and national scales.…”
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Hemimegalencephaly and Epileptic Encephalopathy Associated with a Variant of Uncertain Significance of the TRIO Gene by Eugenia ROZA, Ramona ANDREI, Raluca Ioana TELEANU

“…Pathogenic variants in the TRIO gene are associated with autosomal dominant mental retardation type 44 (MRD44), which is characterized by mildly delayed global development resulting in variable intellectual deficits, learning difficulties, and variable dysmorphic features mostly represented by facial asymmetry, microcephaly, abnormalities of the fingers, and dental anomalies. …”
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Long-Term Spatiotemporal Information Extraction of Cultivated Land in the Nomadic Area: A Case Study of the Selenge River Basin by Yifei Sun, Juanle Wang, Kai Li, Sonomdagva Chonokhuu

“…This study integrated remote sensing technology with machine learning methodologies to develop an automated extraction process based on spectral, textural, and topographical features. …”
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Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches by Eszter Csulak, Ágnes Csivincsik, Tamás Sréter, Norbert Solymosi, József Danka, Zsolt Káposztás, Gábor Nagy, Balázs Dezsényi

“…We investigated the spatial pattern and the impact of potential risk factors of HAE by cluster analysis, and local and global regression models. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…An inversion model, developed based on the analysis of phase mutation points and interference extrema, demonstrates remarkable accuracy in locating the spatial coordinates of fracture endpoints. …”
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