Evaluation of a PCR-based lateral flow device for detecting Aspergillus and Candida species from clinical specimens by Ariff Khalid, Jacinta Santhanam, Mohd Nizam Tzar, Ang-Lim Chua, Sharifah Fadilah Abdul Wahid, Wan Rahiza Wan Mat, Raha Abd Rahman, Petrick Periyasamy

“…Methods: Three separate multiplexed PCR reactions were designed together with a testing algorithm, using biotin, digoxigenin and Tamra fluorophore-labelled fungal internal transcribed spacer universal fungal primers, fungal genera-specific primers, and species-specific primers to produce labelled PCR products that were detected on the LFA dipstick. …”
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Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach by Dongmei Pei, Chengpu Zhang, Yu Quan, Qiyong Guo

“…With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. …”
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Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs by Anargyros Skoulakis, Anargyros Skoulakis, Giorgos Skoufos, Giorgos Skoufos, Armen Ovsepian, Armen Ovsepian, Artemis G. Hatzigeorgiou, Artemis G. Hatzigeorgiou

“…Unaligned sequencing reads with the human genome were processed using AGAMEMNON, an algorithm for metagenomic microbial quantification, with a reference database comprising bacterial, archaeal, and viral genomes, alongside fungal transcriptomes. …”
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Identification of CD8+ T Cell-Related Genes: Correlations with Immune Phenotypes and Outcomes of Liver Cancer by Qi Pan, Ying Cheng, Donghua Cheng

“…The “estimate” package and the CIBERSORT algorithm were used to evaluate tumor purity and the proportion of CD8+ T lymphocytes in the liver cancer cohort. …”
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Retrieval of Land Surface Temperature From Passive Microwave Observations Using CatBoost-Based Adaptive Feature Selection by Yang Dai, Yingbao Yang, Xin Pan, Penghua Hu, Xiangjin Meng, Fanggang Li, Zhenwei Wang

“…Finally, the optimized feature sets were used in the CatBoost algorithm to construct the PMW-LST retrieval model. …”
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Pengembangan Sistem Pemantauan Sentimen Berita Berbahasa Indonesia Berdasarkan Konten dengan Long-Short-Term Memory by Dewi Yanti Liliana, Nadia Nurul Hikmah, Maykada Harjono

“…The data is then processed using the Long Short Term Memory (LSTM) algorithm. LSTM is commonly used to handle classification in various fields especially in a sequential input. …”
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Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model by Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe

“…This research makes four key contributions: (1) the development of a robust experimental testbed for real-time burst error analysis in NB-PLC systems, (2) the creation of a comprehensive dataset that characterizes noise-induced disruptions in real-world indoor scenarios, (3) a theoretical exploration and practical application of SHMMs for modeling error sequences in NB-PLC channels, and (4) the validation of SHMMs and a modified Baum-Welch algorithm (BWA) for efficient modeling and parameter estimation of burst error processes. …”
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Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency by Arvind R. Singh, Bishwajit Dey, Mohit Bajaj, Sahil Kadiwala, Rangu Seshu Kumar, Soham Dutta, Ievgen Zaitsev

“…Furthermore, limiting the grid’s upstream power capacity to 30 kW resulted in a 7% increase in generation cost across all cases, confirming the importance of grid participation in reducing operational costs. The GRSO algorithm outperformed traditional metaheuristics in terms of both execution time and convergence, making it a viable solution for real-time microgrid optimization. …”
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Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment by Mimouna Abdullah Alkhonaini, Manal Abdullah Alohali, Mohammed Aljebreen, Majdy M. Eltahir, Meshari H. Alanazi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

“…The beetle search optimizer algorithm (BSOA) method is used for the hyperparameter tuning procedure to increase the recognition outcomes of the CNN-SAE technique. …”
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

“…We first present an exploratory, quantitative study that assesses the effects when including or excluding each of the unique categorical data features of the PAD-UFES 20 dataset for training a transformer-based model using a data fusion algorithm. We then pair our quantitative analysis with a qualitative examination of the data categories based on interviews with the dataset authors. …”
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A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

“…The proposed method applied, for the first time, a template-matching algorithm based on dynamic time warping to running analysis and compared it to existing methods. …”
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Communal-based domestic rainwater harvesting system: A novel approach to alternative solutions for increasing water supply and recharging groundwater in Jagakarsa urban area, South... by Suprapti Suprapti, Muhammad Syahril Badri Kusuma, Hadi Kardhana, Muhammad Cahyono, Imroatul Chalimah Juliana

“…The model simulation uses daily water balance analysis and yield before spillage algorithm. The simulation scenario uses variations in roof area, number of house occupants, storage tank volume, and rainfall categories: 20 years, wet year, normal year, and dry year. …”
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Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study by Marek Kwiatkowski, Rodolfo Rossi, Torsten Schmitz, Fenella Beynon, Capucine Musard, Marco Landi, Daniel Ishaya, Jeremiah Zira, Muazu Muazu, Camille Renner, Edwin Emmanuel, Solomon Gideon Bulus

“…Objectives To evaluate the impact of ALgorithm for the MANAgement of CHildhood illness (‘ALMANACH’), a digital clinical decision support system (CDSS) based on the Integrated Management of Childhood Illness, on health and quality of care outcomes for sick children attending primary healthcare (PHC) facilities.Design Observational study, comparing outcomes of children attending facilities implementing ALMANACH with control facilities not yet implementing ALMANACH.Setting PHC facilities in Adamawa State, North-Eastern Nigeria.Participants Children 2–59 months presenting with an acute illness. …”
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Cathepsin G promotes arteriovenous fistula maturation by positively regulating the MMP2/MMP9 pathway by Lemei Hu, Changqing Zheng, Ying Kong, Zhiqing Luo, Fengzhang Huang, Zhigang Zhu, Quhuan Li, Ming Liang

“…Next, we integrated the results obtained from the degree algorithm provided by the Cytohubba plug-in, Molecular complex detection (MCODE) plug-in, weighted gene correlation network analysis (WGCNA), and Least absolute shrinkage and selection operator (LASSO) logistic regression. …”
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Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations by Osamah Thamer Hassan Alzubaidi, Mhd Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Faizan Qamar, Atef Abdrabou

“…To tackle this problem, a meta-heuristic algorithm based on the modified gray wolf optimization (MGWO) and an alternation max/min technique based on the developed Block Coordinate Descent (DBCD) are proposed. …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…This study aims to compare the predictive accuracy of the SRC with a novel artificial neural network (ANN) algorithm for 30-day readmission after primary TKA, using the same set of clinical variables from a large national database. …”
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Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases by Longyu Zhu, Miaomiao Liu, Yuguang Shang, Jingge Cheng, Hongye Zhao, Jun Zhang, Dongxing Shen

“…The malignant epithelial cells were characterized by InferCNV algorithm. The cell-cell communication was analyzed using CellChat package. …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…SSPR models were created for each protein using the MultiPASS software based on the Bayesian algorithm and different levels of MNA (Multilevel Neighborhoods of Atoms) descriptors for the representation of structural formulas of protein fragments including AAS.ResultsThe accuracy of prediction was assessed through a 5-fold cross-validation and compared to other bioinformatics tools, such as SIFT4G, Polyphen2 HDIV, FATHMM, MetaSVM, PROVEAN, ClinPred, and Alpha Missense. …”
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TLR7: A Key Prognostic Biomarker and Immunotherapeutic Target in Lung Adenocarcinoma by Feiming Hu, Chenchen Hu, Yuanli He, Yuanjie Sun, Chenying Han, Xiyang Zhang, Lingying Yu, Daimei Shi, Yubo Sun, Junqi Zhang, Dongbo Jiang, Shuya Yang, Kun Yang

“…<b>Methods:</b> We utilized the ESTIMATE algorithm to evaluate the immune and stromal components of the LUAD TME from the TCGA database. …”
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Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization by Pradeep Kumar Singh, Ali Basem, Rebwar Nasir Dara, Mohamed Shaban, Sarminah Samad, Raymond Ghandour, Ahmad Almadhor, Samah G. Babiker, Iskandar Shernazarov, Ibrahim A. Alsayer

“…To optimize the system's performance, an artificial neural network is integrated with a multi-objective particle swarm optimization algorithm to reduce computational time from approximately 16 h to 4 min. …”
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