Proposing a two-stage screening approach to distinguish between transient and enduring postnatal depressive symptoms: A prospective cohort study by Johanne Smith-Nielsen, Ida Egmose, Stephen Matthey, Maria Stougård, Sophie Reijman, Mette Skovgaard Væver

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Evaluation of a test-and-cull strategy to control bovine paratuberculosis based on the detection of Mycobacterium avium ssp. paratuberculosis DNA using the high-throughput Johne's... by A.A. Garcia, K.M. Plain, J.-A.L.M.L. Toribio, R.J. Whittington

“…Quantitative PCR (qPCR) tests to detect MAP in feces enable rapid and sensitive detection of infectious animals. …”
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Integration of wing pattern morphology and deep learning to support Plusiinae (Lepidoptera: Noctuidae) pest identification by Karina M. Torres, Chenjiao Tan, Kayla A. Mollet, Allan H. Smith-Pardo, Rui Xu, Changying Li, Silvana V. Paula-Moraes

“…Sex pheromone trapping in IPM programs represents a tool to detect initial infestations and promote timely management decisions. …”
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Spatial Archaeology: Remote Sensing for the Study and Preservation of Cultural Heritage through Open Data and FLOSS Tools by Giuseppe Guarino, Alessia Brucato

“…This paper focuses on a preliminary space-based detection protocol to identify proxy indicators useful to assess a specific threat to the archaeological heritage: quarry development. …”
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Artificial intelligence (AI) in restorative dentistry: current trends and future prospects by Mariya Najeeb, Shahid Islam

“…This comprehensive literature review explores AI applications in caries detection, endodontics, dental restorations, tooth surface loss, tooth shade determination, and regenerative dentistry. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…Abstract Bug detection and resolution are pivotal to maintaining the quality, reliability, and performance of software systems. …”
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Naive Bayes Analysis for Nutritional Fulfillment Prediction in Children by Satrio Agung Wicaksono, Satrio Hadi Wijoyo, Fatmawati Fatmawati, Tri Afirianto, Diva Kurnianingtyas, Mochammad Chandra Saputra

“…These results suggest the algorithm's potential for early detection to decrease the number of stunting children. …”
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Integrated Technique of Natural Language Texts and Source Codes Authorship Verification in the Academic Environment by Aleksandr Romanov, Anna Kurtukova, Anastasiia Fedotova, Alexander Shelupanov

“…To evaluate the effectiveness of the technique in relation to programming language texts, a multilingual program dataset was used, consisting of source codes for programs of technical students as well as artificially generated program codes. …”
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Genome-wide identification and characterization of NBS-LRR gene family in tobacco (Nicotiana benthamiana) by Lei Zhu, Changjun Huang, Cheng Yuan, Yong Liu, Haiqin Yu, Yan Long, Jianmin Zeng

“…Further, conserved motifs and domain composition were detected by MEME, showing 10 conserved motifs dispersed throughout the protein sequences in both typical- and irregular- type NBS-LRRs. …”
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Mechanism of immune escape mediated by receptor tyrosine kinase KIT in thyroid cancer by Zhen Luo, Jin Xu, Dayong Xu, Jiaojiao Xu, Rongjun Zhou, Keping Deng, Zheng Chen, Fang Zou, Libo Yao, Yuqin Hu

“…After transfection with oe‐KIT, cells were treated with anisomycin (an activator of the MAPK pathway), and the protein levels of p‐ERK/ERK and programmed death‐ligand 1 (PD‐L1) were detected. Results Differentially expressed genes (N = 2472) were obtained from the GEO database. …”
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Algorithm of the diagnosis and treatment of enteral insufficiency syndrome in peritonitis by E. A. Korymasov, S. A. Ivanov, M. V. Kenarskaya

“…Seredavin in the period of 2019–2020. A computational program was created for quick severity evaluation of enteral insufficiency syndrome and choosing the best treatment strategy.RESULTS. …”
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PROMISE (Program Refinements to Optimize Model Impact and Scalability based on Evidence): a cluster-randomised, stepped-wedge trial assessing effectiveness of the revised versus or... by Katherine Penrose, Denis Nash, Mary K Irvine, Bruce Levin, McKaylee M Robertson, Jennifer Carmona, Graham Harriman, Sarah L Braunstein

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Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. <i>Energies</i> 2021, <i>14</i>, 8029 by Rehan Akram, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh, Sheraz Khan, Muhammad Shiraz, Kashif Rizwan

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SEED (Stoke Disease Early Detection Application) - Rancang Bangun Aplikasi Mobile Berbasis Android untuk Mendiagnosis Gejala Dini Penyakit Stroke Menggunakan K-Nearest Neighbor (K-... by Dedin Anike Putra, Muhammad Dimas Setiawan Sanapiah, Azifatul Istna Hanifah, Tri Afirianto

“…SEED (Stroke Disease Early Detection Application) is an android based application that can measure the risk level of stroke disease. …”
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YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation by Madalena de Oliveira Barbosa, Fernanda Pereira Leite Aguiar, Suely dos Santos Sousa, Luana dos Santos Cordeiro, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

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Triple-mode point-of-care diagnostics for high-risk human papillomavirus in urine by Duc Anh Thai, Jing Liu, Angel Gutierrez Ruiz, Yuqian Zhang, Marina Walther-Antonio, Yuguang Liu

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Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

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Performance Evaluation of Robotic Harvester with Integrated Real-Time Perception and Path Planning for Dwarf Hedge-Planted Apple Orchard by Tantan Jin, Xiongzhe Han, Pingan Wang, Yang Lyu, Eunha Chang, Haetnim Jeong, Lirong Xiang

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Large deflection angle resonant 1D scanning micromirror fabricated with multi jet fusion 3D printed parts by Wookyung Kim, Jeong-Yeon Hwang, Chang-Hyeon Ji

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A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data by Adriano Liso, Cosimo Patruno, Angelo Cardellicchio, Pierfrancesco Ardino, Nicola Gallo, Giuseppe del Prete, Valerio Dentico, Veronica Vespini, Sara Coppola, Pietro Ferraro, Vito Reno

“…Here, we present a deep learning-based method for the non-destructive detection of defects in composite samples based on a laser ultrasonic system (LUT). …”
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