Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Breast cancer has the highest mortality rate. Therefore, histologic imaging evaluations must detect breast cancer early. …”
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Long - Term Assessment of the Spatial Temporal Trends in selected Cloud Radiative Properties over the Three Distinct sites in Kenya by Sostine N. Makokha, John W. Makokha, JWM, Festus B. Kelonye

“…Given this, the present study examined the spatial temporal radiative properties of clouds over Nairobi, Malindi and Mbita by paying a special consideration on cloud parameters such as; Cloud Effective Radius (CER), Cloud Optical Thickness (COT), Water Vapor (WV), Precipitation Rate (PR) and Cloud Albedo (CA). These cloud parameters were retrieved from  MODerate resolution Imaging Spectroradiometer (MODIS) sensor, the Modern Era Retrospective analysis for Research and Applications, version2 (MERRA-2) model and Tropical Rainfall Measurement Mission (TRMM) between January 2005 and December 2020. …”
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Prevalence and antimicrobial susceptibility profile of Salmonella spp. isolated from vegetables in farms and markets within Zaria metropolis, Kaduna state, Nigeria by Caleb Victoria Oluwaseyi, Esonu Daniel Obinna, Ahmad Anas Isa

“…Leafy vegetables had the highest contamination rate (23.1 %), compared to root (12.2 %) and fruit vegetables (5.3 %). …”
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Similarities between Salmonella Enteritidis isolated from humans and captive wild animals in South Africa by Anthony Marius Smith, Husna Ismail, Maryke M Henton, Karen H Keddy, GERMS-SA Surveillance Network

“…Human isolates showed a 12% prevalence rate for nalidixic acid resistance. Animal isolates from 5 different sources were investigated. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…With the SGCC dataset, the method achieved an AUC (area under the curve) of 96.7%, a mAP@100 (mean average precision at 100) of 95.7%, and an FPR (false positive rate) of 8.1%. With the CER dataset, the method achieved an AUC of 96.7%, a mAP@100 of 97.3%, and an FPR of 5.2%. …”
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The Impact of Prompt Engineering and a Generative AI-Driven Tool on Autonomous Learning: A Case Study by Kovan Mzwri, Márta Turcsányi-Szabo

“…The high final success rate demonstrated that proper course design (taking into consideration Panadero’s four dimensions of self-regulated learning) can facilitate successful autonomous learning. …”
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Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China by Shichao Sun, Dongyuan Yang

“…The classifier was trained and tested by survey data obtained from 532 valid questionnaires. The accuracy rate for identification of public transit commuters was 92% in the test instances. …”
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AlexNet Convolutional Neural Network Architecture with Cosine and Hamming Similarity/Distance Measures for Fingerprint Biometric Matching by Ahmed Sabah Ahmed AL-Jumaili, Huda Kadhim Tayyeh, Abeer Alsadoon

“…Using the FVC2002 database, the proposed method showed a False Acceptance Rate (FAR) of 2.09% and a False Rejection Rate (FRR) of 2.81%. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

“…Additionally, oocyte diameter and the critical flow rate (Q)—defined as the minimum flow rate necessary for an oocyte to pass through the channel—were included as predictive variables. …”
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Impact of Sodium Ion Stress on the Mechanism of Lead Ion Migration in Electrochemical Treatment of Lead-Contaminated Soil by Yinyin Zhang, Jiangtao Han, Libin Zang

“…This study specifically validates the migration patterns of lead ions under sodium ion stress in soil and concludes that a high concentration of sodium ions, when coexisting with lead ions, diminishes the migration rate of lead ions, consequently reducing the removal efficiency of lead ions. 1. …”
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Combining Autoregressive Models and Phonological Knowledge Bases for Improved Accuracy in Korean Grapheme-to-Phoneme Conversion by Sung-Ki Choi, Hyuk-Chul Kwon, Minho Kim

“…Experimental results show that a BiLSTM-LSTM AR model based on ELECTRA embeddings achieves a phoneme error rate (PER) of 0.2%, word error rate (WER) of 0.68%, and a sentence accuracy of 95.16%, outperforming both a traditional rule-based approach (24.51% sentence accuracy) and non-autoregressive variants implemented on the same dataset (achieving 81.32%–85.72% sentence accuracy). …”
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¹³C metabolic flux analysis identifies an unusual route for pyruvate dissimilation in mycobacteria which requires isocitrate lyase and carbon dioxide fixation. by Dany J V Beste, Bhushan Bonde, Nathaniel Hawkins, Jane L Ward, Michael H Beale, Stephan Noack, Katharina Nöh, Nicholas J Kruger, R George Ratcliffe, Johnjoe McFadden

“…Here we show that deletion of one of the two icl genes impairs the replication of Mycobacterium bovis BCG at slow growth rate in a carbon limited chemostat. In order to further understand the role of isocitrate lyase in the central metabolism of mycobacteria the effect of growth rate on the in vivo fluxes was studied for the first time using ¹³C-metabolic flux analysis (MFA). …”
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Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones by Ngong'ho Bujiku Sende, Snehanshu Saha, Leon Fidele Ruganzu Uwimbabazi

“…More than 50% of the population lives in multidimensional poverty, with urban poverty stagnating while rural poverty, though higher, is declining at a slower rate. The challenge of higher multidimensional poverty, with a slow pace of reduction, entails ongoing empirical testing in order to inform strategies for achieving SDG 1 in 2030. …”
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A Statistical Analysis of Excess Mortality Mean at Covid-19 in 2020-2021 by Md Nurul Raihen, Sultana Akter, Fariha Tabassum, Farjana Jahan, Shakera Begum

“…Excess mortality occurs when actual deaths exceed previous data or recognized patterns. It could demonstrate how a pandemic affected mortality rate. …”
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Growth-mortality relationships in piñon pine (Pinus edulis) during severe droughts of the past century: shifting processes in space and time. by Alison K Macalady, Harald Bugmann

“…The best predictors in growth-mortality models included long-term (15-30 year) average growth rate combined with a metric of growth variability and the number of abrupt growth increases over 15 and 10 years, respectively. …”
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Identification and Validation of the lncRNA BACE1-AS as Immune-Related Influencing Factor in Tumorigenesis following Pan-Carcinoma Analysis by Mengmeng Wang, Di Chen, Yushuang Xu, Mengjun Qiu, Xin Jiang, Zhifan Xiong

“…Overall, our results suggest that BACE1-AS is associated with the expression, prognosis, and rate of immune cell infiltration of most tumors. …”
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Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy by Yan Ma, Yan Ma, Qiuyue Peng, Qiuyue Peng, Bowen Long, Bowen Long

“…In addition, the study also explored how disciplinary differences affect the strength of spatial proximity effects and corresponding brain activation patterns.ResultsThe findings revealed that activation levels in the middle temporal gyrus, frontal pole, and dorsolateral prefrontal cortex were significantly higher in the spatial proximity condition compared to the spatial separation condition, accompanied by an improved rate of correct answers. …”
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Modeling Seasonal Variations of Sediment Transport and Morphological Changes in Delta Ecosystem: A Case Study of the Wulan Delta, Indonesia by Lintang Nur Fadlillah, Margaretha Widyastuti, Dong Hyeon Kim, Muh Aris Marfai

“…The estimated sediment deposition rate is approximately 1.2 t·yr⁻¹, with a deposition rate of 2.74 t·m⁻²·yr⁻¹ at both river mouths. …”
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The 'Antiretrovirals, Sexual Transmission Risk and Attitudes' (ASTRA) study. Design, methods and participant characteristics. by Andrew Speakman, Alison Rodger, Andrew N Phillips, Richard Gilson, Margaret Johnson, Martin Fisher, Ed Wilkins, Jane Anderson, Rebecca O'Connell, Monica Lascar, Kazeem Aderogba, Simon Edwards, Jeffrey McDonnell, Nicky Perry, Lorraine Sherr, Simon Collins, Graham Hart, Anne M Johnson, Alec Miners, Jonathan Elford, Anna-Maria Geretti, William J Burman, Fiona C Lampe

“…In this paper we describe the study rationale, design, methods, response rate and the demographic characteristics of the participants. …”
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Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

“…The estimation combines simulated movement patterns of residents with real-world data from app usage in Japan, utilizing both simulation and numerical modeling, with missing data supplemented through sensitivity analysis.The sensitivity of BLE-based DCT is severely limited by the application’s usage rate, with an estimated baseline of just 10.9%, and even under highly optimistic assumptions, it only reaches 27.0%. …”
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