A Case of Onychomycosis Caused by Rhodotorula glutinis by Hatice Uludag Altun, Tuba Meral, Emel Turk Aribas, Canan Gorpelioglu, Nilgun Karabicak

“…The causative agent was identified as R. glutinis based on the pinkish-orange color; mucoid-appearing yeast colonies on Sabouraud Dextrose Agar at 25°C; morphological evaluation in the Corn Meal-Tween 80 agar; observed oval/round budding yeast at 25°C for 72 hours; no observed pseudohyphae; positive urease activity at 25°C for 4 days; and assimilation features detected by API ID 32C kit and automated Vitek Yeast Biochemical Card 2 system. Antifungal susceptibility test results were as follows: amphotericin B (MIC = 0.5 µg/mL), fluconazole (MIC = 128 µg/mL), itraconazole (MIC = 0.125 µg/mL), voriconazole (MIC = 1 µg/mL), posaconazole (MIC = 0.5 µg/mL), anidulafungin (MIC = 0.5 µg/mL), and caspofungin (MIC = 16 µg/mL). …”
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MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain by Ismael Benito-Altamirano, Sergio Moreno, David M. Vaz-Romero, Anna Puig-Pujol, Gemma Roca-Domènech, Joan Canals, Anna Vilà, Joan Daniel Prades, Ángel Diéguez

“…We demonstrate that this novel microscopy setup is able to measure the same type of samples as an optical microscopy system, but with smaller size equipment and with automated cell count configuration. The technology relies on the top of state-of-the-art computer vision pipelines to post-process the images and count the cells. …”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Abstract In recent years, penetration testing (pen‐testing) has emerged as a crucial process for evaluating the security level of network infrastructures by simulating real‐world cyber‐attacks. Automating pen‐testing through reinforcement learning (RL) facilitates more frequent assessments, minimizes human effort, and enhances scalability. …”
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Beamline and Flight Comparisons of the ARMAS Flight Module With the Tissue Equivalent Proportional Counter for Improving Atmospheric Radiation Monitoring Accuracy by Brad “Buddy” Gersey, W. Kent Tobiska, William Atwell, Dave Bouwer, Leonid Didkovsky, Kevin Judge, Seth Wieman, Richard Wilkins

“…The detectors were a tissue equivalent proportional counter (TEPC) and a Teledyne silicon micro dosimeter chip that was integrated into an Automated Radiation Measurements for Aerospace Safety Flight Module (ARMAS FM). …”
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YOLOv8-CBAM: a study of sheep head identification in Ujumqin sheep by Qing Qin, Qing Qin, Qing Qin, Xingyu Zhou, Xingyu Zhou, Xingyu Zhou, Jiale Gao, Jiale Gao, Jiale Gao, Zhixin Wang, A. Naer, Long Hai, Suhe Alatan, Haijun Zhang, Zhihong Liu, Zhihong Liu, Zhihong Liu

“…Overall, the YOLOv8-CBAM model achieved high accuracy in the head color recognition task, providing reliable technical support for automated sheep management systems.…”
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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Abstract Premise Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. …”
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Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

“…This study proposes an automated system for detecting illegal passenger transport using an improved CLIP-ILP (Illegal Passenger Detection) model. …”
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Preoperative evaluation of red blood cell distribution width as a promising biomarker for discriminating between benign and malignant breast tumors and assessing breast cancer acti... by Ajay Singh Thakur, Chandrashekhar Indoria, Ruby Sahu, Pratima Kujur, Renuka Gahine

“…The RDW values were measured using an automated hematology analyzer. The study’s statistical analysis was conducted using SPSS software at a significance level of 0.05. …”
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BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany by Ling Hu, Volker Hochschild, Harald Neidhardt, Michael Schultz, Pegah Khosravani, Hadi Shokati

“…BIPE integrates model-centric and data-driven strategies, employing automated methods such as 10-fold cross-validation and meta-learning to improve stability and generalization. …”
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Effect of Prior Cyclic Loading on Triaxial Compression Strength of Sliding Zone Soil of the Huangtupo Landslide by Qiong Chen, Deshan Cui, Yu Chen, Xianyu Tao, Wei Xiang

“…Taking into account this characteristic, this paper investigates the effects of prior cyclic loading on the consolidated undrained triaxial compression strength of sliding zone soil with the KTL triaxial automated system. Our experimental results indicate that the prior cyclic loading has a significant effect on the strength behaviour of saturated sliding zone soil. …”
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PI Controller Based Automatic Power Factor Correction (APFC) Using Capacitor Bank by Naqash Muhammad Younis, Rashid Zeeshan

“…Later a power factor corrector named the automated power factor corrector (APFC) was proposed. …”
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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…We developed an AI algorithm designed for the automated interpretation of CrAgSQ LFAs. Concurrently, we explored the relationship between quantified test line intensities and CrAg concentrations. …”
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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…This work brought forward the prospects of developing an automated, accurate, and reliable brain tumor classification system from SWT, ResNet50V2, and LSTM, whereas otherwise, it catered for needs in the enhancement of diagnostic tools in medical imaging. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…This approach harnesses the power of deep convolutional networks to automate the extraction of pertinent information. Initially, a sliding window-based technique is employed to transform the one-dimensional spectral band sequence into a more interpretable two-dimensional matrix. …”
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Enhanced CATBraTS for Brain Tumour Semantic Segmentation by Rim El Badaoui, Ester Bonmati Coll, Alexandra Psarrou, Hykoush A. Asaturyan, Barbara Villarini

“…This paper introduces a novel, fully automated model called Enhanced Channel Attention Transformer (E-CATBraTS) for Brain Tumour Semantic Segmentation; this model builds upon 3D CATBraTS, a vision transformer employed in magnetic resonance imaging (MRI) brain tumour segmentation tasks. …”
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Effect of Radiation, Organic Solvents and Vibration Occupational Exposure on the Thyroid Disease: Results from Project ELEFANT by Bibo Yuan, Citlalli Osorio-Yáñez, Junkai Fang, Lei Zhao, Ander Wilson, Marco Sanchez-Guerra, Hongbin Liu, Peng-Hui Li, Liqiong Guo

“…We reviewed the medical records, including the thyroid disease history, of young adult participants and measured the TSH levels in the females via automated immunometric assay. Logistic models adjusted for confounders revealed significant associations between exposure to radiation (odds ratio [OR]: 1.73; 95% confidence interval [CI]: 1.1–2.7), organic solvents (OR: 2.0; 95% CI: 1.3–2.9) and vibration (OR: 4.4; 95% CI: 2.0–8.75), and an increased risk of thyroid disease. …”
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Personal data privacy protection method based onvertical partitioning by RUAN Huafeng, LI Rui, LUO Kailun

“…Assuming <italic>n</italic> CSP participated in data storage, with no more than <italic>k</italic> of these potentially colluding, this paper defined a (<italic>k</italic>, <italic>n</italic>)-security for vertical partitioning and introduced an automated computation scheme for vertical partitioning based on machine learning—the MLVP scheme. …”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…Abstract Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, current automated diagnostic approaches on Glaucoma diagnosis solely rely on black-box deep learning models, lacking explainability and trustworthiness. …”
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WORKING CAPITAL MANAGEMENT AND MANUFACTURING PERFORMANCE IN NIGERIA by Adedeji Daniel Gbadebo

“…Because this has implication for future performance, the paper offers, amongst others that to enhance the profitability firms in Nigeria, there is the need to adopt more financial technologies can streamline working capital management processes, such as automating inventory and receivables tracking. Also, should be strategic extension of creditor collection periods without compromising supplier relationships to improve cash flow management. …”
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Impact of worklist selection on point-of-care ultrasound workflow – a quality improvement project by Jonathan Rowland, Jessa Baker, Natassia Dunn, Matthew Whited, Soheil Saadat, J. Christian Fox

“…This project was undertaken to improve the functionality of the existing POCUS workflow and move toward an “encounter-based” system by automating worklist generation. It aimed to streamline the POCUS workflow, primarily determine if there was improved clinician satisfaction with the new workflow, and secondarily determine the change in revenue generation from decreased errors in data entry. …”
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