From threats to solutions: A literature review of climate adaptation in anadromous salmon and trout by Lisa G. Crozier, Jared E. Siegel

“…By capitalizing on new tools for sequencing, genomic analysis, and automated field data collection, we can establish baselines for tracking evolutionary responses to climate change. …”
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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…The proposed method in this article provides doctors with a more intelligent diagnostic solution, and it is not only suitable for optical photographs but also for automated diagnosis of other medical imaging images.…”
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Analytical Performances of Human Immunodeficiency Virus Type 1 RNA-Based Amplix® Real-Time PCR Platform for HIV-1 RNA Quantification by Christian Diamant Mossoro-Kpinde, Ralph-Sydney Mboumba Bouassa, Mohammad-Ali Jenabian, Serge Tonen Wolyec, Leman Robin, Mathieu Matta, Jean de Dieu Longo, Gérard Grésenguet, Laurent Andreoletti, Laurent Bélec

“…We evaluated the performances of Amplix real-time PCR platform developed by Biosynex (Strasbourg, France), combining automated station extraction (Amplix station 16 Dx) and real-time PCR (Amplix NG), for quantifying plasma HIV-1 RNA by lyophilized HIV-1 RNA-based Amplix reagents targeting gag and LTR, using samples from HIV-1-infected adults from Central African Republic. …”
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Association of interictal epileptiform discharges and serum concentration of levetiracetam and lamotrigine by Johannes D. Lang, Alexander Willno, Caroline Reindl, Tamara Welte, Jenny Stritzelberger, Stephanie Gollwitzer, Katrin Walther, Hajo Hamer

“…IED frequency was analyzed using automated and semiautomated methods and serum samples were collected sequentially throughout the stay.ResultsThe cohort consisted of 41 patients (23 female, 18 male), between 19 and 64 years (mean 37.42 years), most of which were diagnosed with focal epilepsy (93%). …”
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Corneal Nerve Parameter Reference Values for Chinese Adults Assessed by Corneal Confocal Microscopy by Juan Cao, Jingru Qu, Bekzod Odilov, Bin Lu, Yuanpin Zhang, Lili Li, Yuan Zhang, Qian Xiong, Yu Hong, Jianqiao Li, Yunfeng Shen, Xinguo Hou

“…Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), and corneal nerve fiber length (CNFL) were measured using fully automated software (ACCMetrics). The correlation between clinical indicators and confocal corneal microscopy measures was determined using partial correlation. …”
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Number plate recognition smart parking management system using IoT by Allah Ditta, Muhammad Maroof Ahmed, Tehseen Mazhar, Tariq Shahzad, Yazan Alahmed, Habib Hamam

“…Integrating these technologies forms a Smart Parking Management System (SPMS) to automate parking processes and enhance the parking experience. …”
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Associations between Macular OCT Angiography and Nonproliferative Diabetic Retinopathy in Young Patients with Type 1 Diabetes Mellitus by Nina C. B. B. Veiby, Aida Simeunovic, Martin Heier, Cathrine Brunborg, Naila Saddique, Morten C. Moe, Knut Dahl-Jørgensen, Hanna D. Margeirsdottir, Goran Petrovski

“…Vessel density (VD) and foveal avascular zone (FAZ) area in the superficial and deep capillary plexus (SCP and DCP), total retinal volume (TRV), and central macular thickness (CMT) were calculated using automated software. Univariate and multivariate ordered logistic regression (OLR) models were used accordingly. …”
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Diagnosis of the mechanisms of different types of discordances between phylogenies inferred from nuclear and mitochondrial markers by A. A. Poroshina, D. Y. Sherbakov, T. E. Peretolchina

“…Simulations show that the criteria allow fast and automated detection of various types of introgression, secondary breaches of reproductive barriers, and incomplete lineage sorting.…”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…The study also seeks to evaluate the accuracy of this approach, specifically in oak-dominated forests, as well as identify the optimal time period within a year for effective habitat identification.Using the specialised software NaturaSat, automated segmentations were performed based on the coordinates of phytosociological relevés and forest strands defined in database. …”
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Supervision and Control as Special Forms of Protecting Labor Rights of Employees who Work for Employers Being Individuals by I. V. Vasylko

“…It has been argued that the implementation of control and supervisory activities in the studied area relies on various public authorities, where their main functions should include the detection of violations of labor rights of employees by employers, development of propositions to prevent violations of labor laws, monitoring the compliance with regulations issued in regard to employer in the result of inspections by the competent authorities, development and approval of the annual plan for scheduled inspections; drawing up minutes on administrative offenses against employers who have violated labor legislation; organization and monitoring of the compliance with labor legislation, including the collection, processing and analysis of information, operation of an automated information system for control and supervision.…”
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Design and Implementation of an Ethical AI-Based Teaching Assistant for IoT Security Education by Matilda Isaacs, Anwar Majeed, Karim Moussa, Dolapo Shodipo

“…As a result, students improved their engagement levels and ability to identify and mitigate IoT security threats, and educators experienced a notable reduction in grading time thanks to the AI's automated assessment capabilities. Additionally, the project increased student satisfaction, greater utilization of learning resources, and the publication of research papers on IoT security. …”
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AxiWorm: a new tool using YOLOv5 to test antiparasitic drugs against Trichinella spiralis by Javier Sánchez-Montejo, Miguel Marín, María Alejandra Villamizar-Monsalve, María del Carmen Vieira, Belén Vicente, Rafael Peláez, Julio López-Abán, Antonio Muro

“…Here we developed a semi-automated system based on YOLOv5 to capture photographs of 96 well microplates and use them for L1 count and morphological damage evaluation after experimental drug treatments. …”
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Prevalence and genomic insights of carbapenem resistant and ESBL producing Multidrug resistant Escherichia coli in urinary tract infections by Vidhyalakshmi Sivarajan, Amirtha Varshini Ganesh, Pavithra Subramani, Priyanka Ganesapandi, R. N. Sivanandan, Sneha Prakash, Nithyasri Manikandan, Arunasalam Dharmarajan, Frank Arfuso, Sudha Warrier, Marquess Raj, Kumar Perumal

“…Antimicrobial susceptibility profiling was performed using the VITEK 2 automated system for 1254 E. coli isolates, revealing that 831(66.2%) isolates were determined as MDR E. coli. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Radiomic techniques automate the precise extraction of imaging features from tumor regions in radiographic scans, which are subjected to machine learning (ML) to predict genomic attributes. …”
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Comparison of Fecal Calprotectin Methods for Predicting Relapse of Pediatric Inflammatory Bowel Disease by Saranya Kittanakom, Md. Sharif Shajib, Kristine Garvie, Joceline Turner, Dan Brooks, Sufian Odeh, Robert Issenman, V. Tony Chetty, Joseph Macri, Waliul I. Khan

“…This study used 40 pediatric IBD and 40 random non-IBD patients’ fecal samples. Two automated ELISAs (Bühlmann and PhiCal® Calprotectin-EIA) and an EliA (Phadia 250 EliA-Calprotectin) were used to evaluate the analytical performance. …”
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Extracting Regular Building Footprints Using Projection Histogram Method from UAV-Based 3D Models by Yaoyao Ren, Xing Li, Fangyuqing Jin, Chunmei Li, Wei Liu, Erzhu Li, Lianpeng Zhang

“…This work represents a significant advancement in automating the extraction of building footprints from complex 3D scenes, with potential applications in urban planning, disaster response, and environmental monitoring.…”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Future work should focus on developing automated segmentation algorithms for M3M and IAC on PRs, to identify relevant anatomical structures, thereby improving clinical usability. …”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…This study proposes a machine learning (ML)-based framework for accurate and automated skin cancer detection, integrating EfficientNetV2L for advanced feature extraction and LightGBM (LGBM) for gradient boosting. …”
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Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease by Ziyi Yuan, Zhaodi Huang, Chaojun Li, Shengrong Li, Qingguo Ren, Xiaona Xia, Qingjun Jiang, Daoqiang Zhang, Qi Zhu, Xiangshui Meng, Xiangshui Meng

“…The accuracy, recall, sensitivity, and F1-score were higher than those of the other methods, as was the diagnostic efficacy (AUC = 0.9149).ConclusionThe multimodal FBN and SBN topological feature fusion technique, which incorporates rs-fMRI, DTI, 3D-T1WI, and demographic characteristics, obtains the most discriminative features of MCI in patients with unilateral MCA steno-occlusive disease and can effectively identify disease-related brain areas and connections. Efficient automated diagnosis facilitates the early and accurate detection of MCI and timely intervention and treatment to delay or prevent disease progression.…”
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Geographical Peer Matching for P2P Energy Sharing by Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Ralf Klasing

“…However, many practical challenges have to be overcome before all players could gain in having efficient and automated local energy communities; such challenges include the inherent complexity of matching together geographically distributed peers and the significant computations required to calculate the local efficient matching options. …”
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