A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images by Chaoyue Chen, Yanjie Zhao, Linrui Cai, Haoze Jiang, Yuen Teng, Yang Zhang, Shuangyi Zhang, Junkai Zheng, Fumin Zhao, Zhouyang Huang, Xiaolong Xu, Xin Zan, Jianfeng Xu, Lei Zhang, Jianguo Xu

“…Abstract This study developed and validated a deep learning network using baseline magnetic resonance imaging (MRI) to predict Ki-67 status in meningioma patients. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

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Deep Venous Reflux Associated with a Dilated Popliteal Fossa Vein Reversed with Endovenous Laser Ablation and Sclerotherapy by Daniel P. Link, Jennifer Feneis, John Carson

“…To report an incidence of reflux in the deep venous system reversed by ablation of a popliteal fossa vein (PFV). …”
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Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Penggunaan sensor visual memiliki performa yang lebih baik ketika menggunakan metode deep learning. Salah satu metode untuk meningkatkan performa metode deep learning adalah dengan menggunakan data sintesis hasil model generatif sebagai tambahan data. …”
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Spirituality-Based Intervention in Hypertension: EFfects on Blood PrEssure and EndotheliaL Function—FEEL Trial Results by Maria Emília Figueiredo Teixeira, Weimar Kunz Sebba Barroso, Andréa Araújo Brandão, Ana Luiza Lima Sousa, Roberto Esporcatte, Mário Henrique Elesbão de Borba, Ana Clara Neri Ávila Baleeiro, Beatriz Caldas Gonçalves, Enzo Inumaru, Enzo Mata de Sousa, Giovana Barros Leal, Henrique Soares de Araújo Pereira Farias, Juliana Alves de Souza, Lure Emilly Barreto da Silva, Matheus Canguçu de Paiva Queiroz, Frederico Rafael Moreira, Priscila Valverde de Oliveira Vitorino, John Eikelboom, Álvaro Avezum

“…Objectives: To evaluate whether a spirituality-based intervention, compared to a control group, can reduce blood pressure (BP) and improve endothelial function after 12 weeks in patients with mild or moderate hypertension (HTN). …”
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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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Retracted: A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods by Applied Bionics and Biomechanics

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Gut microbiota-derived short-chain fatty acids and depression: deep insight into biological mechanisms and potential applications by Yan Zhang, Jin Liu, Junzhe Cheng, Hongkun Hu, Yumeng Ju, Mi Wang, Bangshan Liu

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Differential Effects of Alcoholic and Non-Alcoholic Beer Intake on Renin–Angiotensin System Modulation in Spontaneous Hypertensive Rats by María Dolores Mayas, Cristina Cueto-Ureña, María Jesús Ramírez-Expósito, José Manuel Martínez-Martos

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Study on the Deformation Mechanism of the Bottom Plate along the Empty Lane of Deep Mining and the Control Technology of the Bottom Drum by Dongdong Pang, Xingang Niu, Kai He, Chuanming Li, Dawei Pang, Tao Hu, Zhongqi Chen, Xiaolong Luo

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When plastisphere and drilosphere meet: Earthworms facilitate microbiome and nutrient turnover to accelerate biodegradation of agricultural plastic films by Caide Huang, Liuwei Wang, Wei-Min Wu, Yvan Capowiez, Yuhui Qiao, Deyi Hou

“…Agricultural plastic mulching films have been an environmental concern for decades. The effects of the interactions between the anthropogenic plastisphere and other soil biospheres, particularly that of earthworms, on the fate of plastics remain poorly understood. …”
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The transnational earth: Evolution meets the World Heritage in model development scenarios for a globally inclusive knowledge economy by Hana Ayala

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Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm by Dorota Mozyrska, Ewa Pawluszewicz

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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

“…Remaining useful life (RUL) prediction is a cornerstone of Prognostic and Health Management (PHM) for power machinery, playing a crucial role in ensuring the reliability and safety of these critical systems. In recent years, deep learning techniques have shown great promise in RUL prediction, providing more reliable and accurate outcomes. …”
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Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation by Jamal Hassan Ougahi, John S Rowan

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And they just keep coming: four new genera of dark sac spiders from southern Africa (Araneae, Trachelidae) by Charles R. Haddad

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Randomised control trial to compare the efficacy of traditional Thai massage and ultrasound therapy for treating plantar heel pain by Supamas Somphai, Wiraphong Sucharit, Punnee Peungsuwan, Neil Roberts, Uraiwan Chatchawan

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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

Subjects: “…animal feed formulation…”
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Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

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Study on the multidrug resistance and transmission factors of Staphylococcus aureus at the ‘animal–environment–human’ interface in the broiler feeding cycle by Fangyuan Hu, Fangyuan Hu, Yaopeng Liu, Yaopeng Liu, Lin Wang, Juan Wang, Na Liu, Yan Li, Xiaoxiao Duan, Junwei Wang, Mingzhe Lu, Junhui Liu, Zhina Qu, Keguang Han

“…Based on the concept of “One Health,” this study analyzed the multidrug resistance and transmission factors of S. aureus isolated from the “animal–environment–human” interface during one feeding cycle of commercial broilers in China by using antimicrobial susceptibility testing and whole genome sequencing (WGS) technologies. …”
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