Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning by Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung

“…The NN component extracts high-level features, while XGBoost uses gradient-boosted decision trees for accurate predictions, combining the strengths of deep learning and boosting techniques for improved accuracy. …”
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Development of the Composition and Technology of New Neuroprotective Drug Tablets Using Fractional Factorial Design by O. A. Terenteva, E. V. Flisyuk, D. Yu. Ivkin, I. A. Narkevich

“…To develop composition and technology of a new medicine tablets with neuroprotective effect, using fractional factorial design of experiment and the Harrington desirability function.Materials and methods. …”
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Mapping groundwater-dependent ecosystems using a high-resolution global groundwater model by N. G. Otoo, E. H. Sutanudjaja, M. T. H. van Vliet, A. M. Schipper, A. M. Schipper, M. F. P. Bierkens, M. F. P. Bierkens

“…To understand their spatial and temporal dependency on groundwater, we developed a framework for mapping GDEs at a large scale, using results from a high-resolution global groundwater model. …”
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Мodern opportunities of organizing complex obstetric and gynecological care using hospitalreplacing technologies by N. N. Lebedev, A. N. Shikhmetov, A. M. Zadikyan, A. A. Pazychev, E. A. Panova, E N. Kalmakova, E. N. Kalmakova, M. V. Petrova, L. A. Osin, V. A. Nazarov

“…The authors analyzed their 25-year experience in organizing obstetric and gynecological care in outpatient settings of the branch clinical and diagnostic center of PJSC Gazprom using inpatient replacement technologies. Effective use of modern clinical, laboratory and instrumental methods of examination allows at the stage of primary treatment in the shortest possible time to establish a clinical diagnosis and determine the plan of invasive diagnostic and therapeutic measures. …”
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Experience in Using Antiviral Agents for the Treatment of Novel Coronavirus Infection (COVID-19) in Kyrgyzstan by A. A. Zurdinova, A. Z. Kutmanova

“…The data obtained indicate that the use of this drug for COVID-19 treatment is clinically unreasonable and irrational. …”
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Synthesis of Silver Nanoparticles Using Azadirachta indica Leaf Extracts for Heavy Metal Sensing by Abidemi Mercy Babatimehin, Gabriel Olukayode Ajayi, Oyebola Elizabeth Ogunbamowo, Ali El-Rayyes, Lamia A. Albedair, Amnah Mohammed Alsuhaibani, Edwin Andrew Ofudje

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A Case-Study-Based Comparative Analysis of Using Prefabricated Structures in Industrial Buildings by Abdelhadi Salih, Cynthia Changxin Wang, Rui Tian, Mohammad Mojtahedi

“…The prefabrication system has been used for years in industrial construction, resulting in better performance in regard to structure stability, the control of wastage, and the optimisation of construction time and cost. …”
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…The data interpretation stage displays the results to the end user using the data interpretation stage. We experimented and tested our proposed model using real EEG datasets. …”
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Deep learning-based single-shot computational spectrometer using multilayer thin films by David S. Bhatti, Jioh Lee, Cheolsun Kim, Youngin Choi, Hoon Hahn Yoon, Heung-No Lee

“…This study demonstrates a deep learning (DL)-based single-shot computational spectrometer capable of recovering narrow and broad spectra using a multilayer thin-film filter array. Our device can measure spectral intensities of incident light by combining a filter array, fabricated using wafer-level stencil lithography, with a complementary metal-oxide-semiconductor (CMOS) image sensor through a simple attachment. …”
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Inequalities in the Distribution of the Nursing Workforce in Albania: A Regional Analysis Using the Gini Coefficient by Blerina Duka, Alketa Dervishi, Eriola Grosha, Dhurata Ivziku, Gennaro Rocco, Alessandro Stievano, Ippolito Notarnicola

“…The Gini coefficient and the Lorenz curve were used to analyze the distribution of nurses in relation to the population and HDI of the different regions. …”
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Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…This study is highly significant as it implements a deep learning model using the CNN algorithm optimized with the ResNet50 architecture. …”
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An IoT-Enabled Wearable Device for Fetal Movement Detection Using Accelerometer and Gyroscope Sensors by Atcharawan Rattanasak, Talit Jumphoo, Wongsathon Pathonsuwan, Kasidit Kokkhunthod, Khwanjit Orkweha, Khomdet Phapatanaburi, Pattama Tongdee, Porntip Nimkuntod, Monthippa Uthansakul, Peerapong Uthansakul

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Optimization of therapeutic drug monitoring of vancomycin in newborns using “Dried Blood Spot” method by V. I. Petrov, I. S. Anikeev, T. E. Zayachnikova, A. V. Strygin, D. V. Kurkin, Yu. S. Kazmina

“…Therapeutic drug monitoring (TDM) is used to increase the individualization of pharmacotherapy, especially in patient groups with a high interindividual variability in pharmacokinetic (PK) parameters. …”
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Air pollution: a study of citizen's attitudes and behaviors using different information sources by Annalaura Carducci, Gabriele Donzelli, Lorenzo Cioni, Giacomo Palomba, Marco Verani, Giulia Mascagni, Giuseppe Anastasi, Luca Pardini, Elisabetta Ceretti, Tiziana Grassi, Elisabetta Carraro, Silvia Bonetta, Milena Villarini, Umberto Gelatti

“…After some weeks from this alarm, we tried to evaluate the citizen awareness and interest towards air pollution together with their positive behaviors, using different information sources. Methods: From September 2015 to March 2016, in parallel with the number of exceedances of the PM10 in Italy we evaluated the press coverage, the average monthly searches on Google and the interest on Twitter. …”
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Real‐Time and Site‐Specific Perturbation of Dynamic Subcellular Compartments Using Femtosecond Pulses by Seohee Ma, Bin Dong, Matthew G. Clark, R. Michael Everly, Shivam Mahapatra, Chi Zhang

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Predicting the infecting dengue serotype from antibody titre data using machine learning. by Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong, Sopon Iamsirithaworn, Aaron R Farmer, Derek A T Cummings, Kathryn B Anderson, Ilaria Dorigatti

“…The models were validated against the true infecting serotype, identified using RT-PCR. Model performance was calculated using 100 bootstrap samples of the train and out-of-sample test sets. …”
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Correlation of body composition parameters using different methods among Brazilian obese adults by Lívia Santana Neves Máximo, Flávia Franca Melo, Lara Benigno Porto, Izabel Cristina Rodrigues da Silva, Mirley do Prado, Hermelinda Cordeiro Pedrosa

“…The Spearman correlation test was used to assess the correlation of VAT with anthropometric measurements, BIA and other DXA parameters. …”
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Efficient Inter-Prediction Method Using Reference Frame Accumulation for MPEG G-PCC by Xin Li, Eun-Young Chang, Jihun Cha, Euee S. Jang

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Assessing acoustic receiver detection efficiency using autocorrelation adjusted machine learning models by Devon A. Smith, James A. Crossman, Eduardo G. Martins

“…Conclusion Our autocorrelation adjusted machine learning model demonstrated adequate estimates of detection efficiency, explaining an average of 68% of the variability across two distinct rivers. …”
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Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

“…In order to detect affected plants, two support vector machine (SVM) classifiers with radial basis function (RBF) kernels were used separately for NIR and RGB images. Main results: The average accuracy of the SVM classifier models were estimated to be 82.3% for NIR images and 91.4% for RGB images during the test phase. …”
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