Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

“…Compared with traditional experimental methods, deep learning methods have higher accuracy in predicting aquatic toxicity, faster data processing speed and better generalization ability. …”
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Disorders of the central nervous system cognitive and mnestic functions in genetic arterial hypertension and with the use of beta-blockers of different generations by A. O. Svitlytskyi, A. A. Yehorov, O. V. Melnikova, T. A. Hrekova

“…The ability of animals to learn and remember an aversive stimulus was assessed through the conditioned passive avoidance reaction. test Statistical data processing was performed by the package of applied and statistical programs Excel 7.0 (Microsoft Corp., USA) and Statistica (license No. …”
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Hubungan Tingkat Pengetahuan Mengenai Asma dengan Tingkat Kontrol Asma by Katerine ., Irvan Medison, Erlina Rustam

“…The statistical analysis used chi square test and SPSS 15 for data processing. The results showed that from 65 subjects, 19 (29,2%) subjects with uncontrolled asthma showed low level of asthma knowledge, 1 (1,5%) subjects with partially controlled asthma showed low level of asthma knowledge, and 1 (1,5%) subjects with controlled asthma showed low level of asthma knowledge. …”
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TEKNIK MENENTUKAN WAKTU HILANGNYA SYAFAQ (CAHAYA MERAH) MENGGUNAKAN SQY QUALITY METER (SQM) DENGAN METODE TITIK POTONG (CUTOFF) by M. Asep Rizkiawan, Rosalina Rosalina, Emilia Roza

“…Measurements were carried out using a portable, lightweight, and relatively inexpensive photometer with a USB connection, namely the Unihedron Sky Quality Meter (SQM). The data processing method uses MATLAB and Microsoft office excel to display graphs and approach polynomial 5 equations. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…The results of the comparison of T(n) values from ELM revealed that the fastest or smallest computational time is used as the algorithm recommendations for multi-sensor data processing in the Internet of Things (IoT) simulators and non-simulators by utilizing Node-RED with additional platforms i.e., flespi and Heroku, as a general solution for the entire types of cases and analysis of their algorithms. …”
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On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

“…While sensor technology and machine learning offer real-time detection for on-demand cueing, existing systems are limited by the usage of smartphones between the sensor(s) and cueing device(s) for data processing. By avoiding this we aim at improving usability, robustness, and detection delay. …”
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Mendelian randomization analysis of plasma proteins reveals potential novel tumor markers for gastric cancer by Wenhai Fan, Zhenjiang Wu, Shenghao Xu, Zhiheng Liu, Yiming Huang, Pan Wang

“…Instrumental variables for plasma proteins were selected based on strongly correlated SNPs identified through data processing and screening of the GWAS data provided by the deCode database. …”
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Rehabilitation using virtual gaming for Hospital and hOMe-Based training for the Upper limb in acute and subacute Stroke (RHOMBUS II): results of a feasibility randomised controlle... by Cherry Kilbride, Tom Butcher, Meriel Norris, Nana Anokye, Alyson Warland, Karen Baker, Dimitrios A Athanasiou, Guillem Singla-Buxarrais, Jennifer Ryan, Francesca Gowing, Elmar Kal, Carole Pound, Victoria Stewart, Basaam Aweid, Arul Samiyappan

“…Impairment, activity and participation outcomes were also collected at baseline and 7 weeks to assess their suitability for use in a definitive trial.Randomisation Computer-generated, allocation sequence concealed by opaque, sealed envelopes.Blinding Participants and assessors were not blinded; statistician blinded for data processing and analysis.Results 192 stroke survivors were screened for eligibility, and 24 were recruited and randomised. …”
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Pengaruh Masase pada Punggung Terhadap Intensitas Nyeri Kala I Fase Laten Persalinan Normal Melalui Peningkatan Kadar Endorfin by Yeni Aryani, Masrul ., Lisma Evareny

“…The subject were choosen randomly block with 52 respondents. Data processing was done based on the Independent t-test and Spearmen Correlation. …”
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The Influence of WOM and Brand Image on Customer Trust and Satisfaction at BANK CENTRAL ASIA (BCA) by Lilik Indrawati, Thyophoida Wanty Suriany Panjaitan

“…Practical implications: Data processing using Structural Equation Modeling (SEM) WarpPLS. …”
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Strategi Penanganan Imbalance Class Pada Model Klasifikasi Penerima Kartu Indonesia Pintar Kuliah Berbasis Neural Network Menggunakan Kombinasi SMOTE dan ENN by Zaqiatud Darojah, Ronny Susetyoko, Nana Ramadijanti

“…Penelitian ini bertujuan untuk membentuk model klasifikasi penerima KIP Kuliah menggunakan Neural Network (NN).  Strategi data processing level digunakan untuk mengatasi ketidakseimbangan data atau imbalance class yang terjadi antara kelas penerima KIP Kuliah sebagai kelas minoritas dan kelas bukan penerima KIP Kuliah sebagai kelas mayoritas. …”
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Pengaruh Perbedaan Kadar Oksitosin Melalui Pemijatan Oksitosin Terhadap Jumlah Perdarahan pada Ibu 2 Jam Postpartum by Desi Sarli, Masrul , Meilinda Agus

“…This research use experimental design<br />that was conducted ± 6 months to 64 people. Data processing was done by computerized. The data presented in the form of a frequency distribution and performed an independen t-test and correlation test and regression to determine the effect ofthe relationship between the two variables. …”
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Geometric Feature Characterization of Apple Trees from 3D LiDAR Point Cloud Data by Md Rejaul Karim, Shahriar Ahmed, Md Nasim Reza, Kyu-Ho Lee, Joonjea Sung, Sun-Ok Chung

“…Commercial software and the python programming language were utilized to process the collected data. The data processing steps involved data conversion, radius outlier removal, voxel grid downsampling, denoising through filtering and erroneous points, segmentation of the region of interest (ROI), clustering using the density-based spatial clustering (DBSCAN) algorithm, data transformation, and the removal of ground points. …”
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Effect of Rifaximin and a Multi-Strain Probiotic on the Intestinal Microbiome and Cardiovascular Risk Indicators in Patients with Coronary Heart Disease by E. A. Kashukh, E. A. Poluektova, A. V. Kudryavtseva, G. S. Krasnov, V. I. Kazey, P. D. Sobolev, P. V. Gremyakova, V. T. Ivashkin

“…The results were analysed using the IBM SPSS 22.0 statistical data processing software.Results. An additional administration of the probiotic (Bifidobacterium bifidum no less than 1x109 CFU; Bifidobacterium longum no less than 1x109 CFU; Bifidobacterium infantis no less than 1x109 CFU; Lactobacillus rhamnosus no less than 1x109 CFU) is found to have no effect on the lipid profile and the platelet aggregation rate. …”
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Road Transport and Urban Mobility Greenhouse Gas Emissions Factor for Air Pollution Modeling in Burkina Faso by Issaka Abdou Razakou Kiribou, Tiga Neya, Bernard Nana, Kehinde Ogunjobi, Tizane Daho, Y․ Woro Gounkaou, Faith Mawia Muema, Dejene W. Sintayehu

“…It assesses greenhouse gases by establishing the specific emission factors using Ouagadougou City as a site of emission data processing. The analysis has included satellite NO2 emission data. …”
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Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) by Coral Sánchez-Martín, Javier Leal-Martín, Timo Rantalainen, Irene Rodríguez-Gómez, Luis M. Alegre, Ignacio Ara

“…Despite the authors describing a specific code for physical activity data processing, its lack of comprehensiveness hinders its implementation by researchers or health professionals with limited programming or software expertise. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…The use of new technologies such as artificial intelligence, especially when faced with a huge amount of data, with high data processing capacity, rapid response speeds, and the potential for personalization and customization, helps organizations in achieving efficiency and effectiveness of processes. …”
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Comparative the efficacy and safety of Gosuranemab, Semorinemab, Tilavonemab, and Zagotenemab in patients with Alzheimer’s disease: a systematic review and network meta-analysis of... by Wenting Cai, Wenting Cai, Hui Zhang, Hui Zhang, Yan Wu, Yan Wu, Yao Yao, Jinping Zhang

“…Statistical analysis was conducted using Stata 14 and RevMan 5.4. The purpose of data processing, including generating network evidence plots, surface under the cumulative ranking curve (SUCRA) ranking, league plots, and funnel plots, is to visually summarize and evaluate the relative effectiveness and safety and potential publication bias of multiple interventions. …”
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Perancangan Software As A Service (SAAS) untuk Sistem Pelayanan Kesehatan Ibu dan Anak (PKIA) pada Puskesmas Se-Kota Mataram Berbasis Cloud Computing by Andy Hidayat Jatmika, Royana Afwani, Nadiyasari Agitha

“…Abstract Currently, patient data processing system of PKIA services in public health centers in Mataram city is still doing conventional way that is not yet utilize information technology. …”
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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

“…Even with a smaller dataset, we demonstrate the practical feasibility of deploying SL internationally with on-site data processing, addressing challenges such as data privacy and annotation variability. …”
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