Transplanted Adult Neural Stem Cells Express Sonic Hedgehog In Vivo and Suppress White Matter Neuroinflammation after Experimental Traumatic Brain Injury by Genevieve M. Sullivan, Regina C. Armstrong

“…Neural stem cells (NSCs) delivered intraventricularly may be therapeutic for diffuse white matter pathology after traumatic brain injury (TBI). …”
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Being Normal Weight but Feeling Overweight in Adolescence May Affect Weight Development into Young Adulthood—An 11-Year Followup: The HUNT Study, Norway by Koenraad Cuypers, Kirsti Kvaløy, Grete Bratberg, Kristian Midthjell, Jostein Holmen, Turid Lingaas Holmen

“…To explore if self-perceived overweight in normal weight adolescents influence their weight development into young adulthood and if so, whether physical activity moderates this association. …”
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HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network by Tam V. Nguyen, Vinh Ngoc Tran, Hoang Tran, Doan Van Binh, Toan D. Duong, Thanh Duc Dang, Pia Ebeling

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Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey by Pichsinee Choomung, Yupeng He, Masaaki Matsunaga, Kenji Sakuma, Taro Kishi, Yuanying Li, Shinichi Tanihara, Nakao Iwata, Atsuhiko Ota

“…To address these issues, we previously developed an artificial neural network (ANN)–based schizophrenia classification model (SZ classifier) using data from a large-scale Japanese web-based survey to enhance the comprehensiveness of schizophrenia case identification in the general population. …”
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Impaired hemodynamic forces assessed by routine CMR and its determinants in different duration T2DM patients with normal LV function and myocardial strain by Guozhu Shao, Guozhu Shao, Guozhu Shao, Yukun Cao, Yukun Cao, Yukun Cao, Yue Cui, Yue Cui, Yue Cui, Hongyan Li, Heshui Shi, Heshui Shi, Heshui Shi

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Framework for user behavioural biometric identification using a multimodal scheme with keystroke trajectory feature and recurrent neural network on a mobile platform by Ka‐Wing Tse, Kevin Hung

“…In the user identification phase, a multistream recurrent neural network (RNN) is adopted. The results reveal that the proposed trajectory model performs well, and the multimodal scheme using an RNN with a late fusion method provides accurate identification results. …”
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Comparative Forecasting of Some Key Economic Indicators Using Artificial Neural Networks and Ordinary Differential Equations: A Case Study of the Turkish Economy by Bahatdin Daşbaşı, Murat Taşyürek

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A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features by Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao

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Asymptomatic neck mass and normal variations of the thymus in children: A report of two cases from a tertiary hospital in Riyadh, Saudi Arabia by Maryam Albaqami, Abdulaziz Almonifi, Areej Albelali

“…The pathogenesis of cervical extension of the thymus has been postulated to be incomplete descent of the thymus in the midline of the neck, which is considered normal in children. The thymus normally extends to the neck in approximately two-thirds of children. …”
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Spermatic RXFP2 expression levels and seminal INSL3 concentrations among beef bull ejaculates with different levels of sperm morphological normality by Hewage Dilhan Anuradha WIMALARATHNE, Kenta ARASHI, Fumiyuki IWAKI, Mitsuhiro SAKASE, DURITAHALA, Hiroshi HARAYAMA, Noritoshi KAWATE

“…The objective of this study was to examine the relationship between the insulin-like peptide 3 (INSL3) receptor (RXFP2) expression levels on spermatozoa and INSL3 concentrations in the seminal plasma of fresh semen from beef bulls with different levels of sperm morphological normality. Ejaculates (n = 44) were collected from 21 yearling Japanese Black beef bulls and categorized into three groups based on the levels of sperm morphological normality: High (normal morphology ≥ 80%; n = 23), Mid (< 80% & ≥ 65%; n = 10) and Low (< 65%; n = 11). …”
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Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistance by Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Daisy Salifu, Brian Kanji, Frank T. Ndjomatchoua, Ritter A.Y. Guimapi, Sunday Ekesi, Landmann Tobias

Subjects: “…Combining Self-Organizing Maps (SOM) and Convolutional Neural Network (CNN) for improving model accuracy…”
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Impact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach by Ji Hwan Lee, Kihwan Kim, Kyungjin Rim, Soogine Chong, Hyunbo Cho, Saeroonter Oh

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Association between normal saline infusion volume in the emergency department and acute kidney injury in heat stroke patients: a multicenter retrospective study by Lan Chen, Junlu Zhao, Liyun Lu, Zhumei Gong, Shuying Xu, Xiaoling Yang, Yuping Zhang, Xiuqin Feng

Subjects: “…Normal saline…”
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(m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays by Bing Li, Ting Chen, Yongkun Li

Subjects: “…Clifford-valued high-order fuzzy cellular neural networks…”
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Multivariable Diagnostic Prediction Model to Detect Hormone Secretion Profile From T2W MRI Radiomics with Artificial Neural Networks in Pituitary Adenomas by Begumhan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Muhammet Arif KURSUN

“…Objective: This study aims to develop neural networks to detect hormone secretion profiles in the pituitary adenomas based on T2 weighted magnetic resonance imaging (MRI) radiomics. …”
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Comparison of the Applicability of Two Reanalysis Products in Estimating Tall Tower Wind Based on Multiple Linear Regression and Artificial Neural Network in South China by Xiangxiang Li, Xiaochen Qin, Jun Yang, Weiming Xu

“…For each TTO, linear and nonlinear downscaling techniques, namely, multiple linear regression (MLR) and an artificial neural network (ANN), respectively, were adopted for the downscaling of the scalar wind speed and the corresponding U/V components. …”
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Evaluating the Performance of Aluminum Oxide Nanoparticle-Modified Asphalt Binder and Modelling the Viscoelastic Properties by Using Artificial Neural Networks and Support Vector Machines by Mustafa Alas, Sani Isah Abba, Shaban Ismael Albrka Ali, Abdur Rahim, Nur Izzi Md. Yusoff

“…In addition, heuristic modelling techniques, artificial neural networks (ANN), and support vector machines (SVM) were employed to predict the performance characteristics of AC by using the mechanical testing conditions. …”
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LANDMARC indoor positioning algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network by Jingqiu Ren, Ke Bao, Guanghua Zhang, Li Chu, Weidang Lu

“…The threshold and weight of radial basis function neural network were optimized by genetic algorithm. …”
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A Pilot Study on Structural Responses of Normal Concrete-UHPC Composite Bridge Decks w/wo Rebars through an Experimental-Numerical Approach by Siqi Yuan, Zhao Liu, Teng Tong, Chung C. Fu

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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints by Jun Fukae, Yoshiharu Amasaki, Yuichiro Fujieda, Yuki Sone, Ken Katagishi, Tatsunori Horie, Tamotsu Kamishima, Tatsuya Atsumi

“…Objective To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA). …”
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