Antigen Delivery Platforms for Next-Generation Coronavirus Vaccines by Aziz A. Chentoufi, Jeffrey B. Ulmer, Lbachir BenMohamed

“…This review will (1) present the current state of antigen delivery platforms involving a multifaceted approach, including bioinformatics, molecular and structural biology, immunology, and advanced computational methods; (2) discuss the challenges facing the development of safe and effective antigen delivery platforms; and (3) highlight the potential of nucleoside-modified mRNA encapsulated in lipid nanoparticles (LNP) as the platform that is well suited to the needs of a next-generation pan-CoV vaccine, such as the ability to induce broad-based immunity and amenable to large-scale manufacturing to safely provide durable protective immunity against current and future Coronavirus threats.…”
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Imagined Movement Recognition in People with Disabilities Using Common Sparse Spatio Spectral Pattern (CSSSP) and Sequential Features Selection (SFS) by Alireza Pirasteh, Manouchehr Shamseini Ghiyasvand, Majid Pouladian

“…The brain interface system intends to prepare direct connectivity between the brain and the computer to be aware of the requests of an individual and use them as a control signal for external devices. …”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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Extraction and Characterization of Natural Coagulant Made from Banana Plant Stems (Musa acuminate) for the Removal of Turbidity from Wastewater by Getachew Semegn Tiruneh, Wondalem Misganaw Golie, Fasil Alemayehu Hailu, Assefa Melaku Endris, Getahun Demeke

“…After extraction, the coagulation efficiency of each produced coagulant was computed in terms of their turbidity removal efficiency (%) from sampled wastewater. …”
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Diagnostic methods employing kidney biomarkers clinching biosensors as promising tools by Neelam Yadav, Jagriti Narang, Anil Kumar Chhillar, Jogender Singh Rana, Mohd Usman Mohd Siddique, El-Refaie Kenawy, Saad Alkahtani, Mohd Neyaz Ahsan, Amit Kumar Nayak, Md Saquib Hasnain

“…Existing diagnostic techniques used for monitoring kidney biomarker concentration include chromatographic assays, spectroscopic assays, immunoassays, magnetic resonance imaging (MRI), computed tomography (CT), etc. They also necessitate equipped laboratory infrastructure, specific instruments, highly trained personnel working on these instruments, and monitoring kidney patients. …”
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Applied Comparison of Meta-analysis Techniques by Li Wang, Colin Lewis-Beck, Elyse Fritschel, Erdem Baser, Onur Baser

“…Proper meta-analysis includes five basic steps: identify relevant studies; extract summary data from each paper; compute study effect sizes, perform statistical analysis; and interpret and report the results. …”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…A novel localization approach for mobile ground robot, which successfully combines conventional computer vision techniques, neural network based image analysis and numerical optimization, is proposed. …”
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FDK-Type Algorithms with No Backprojection Weight for Circular and Helical Scan CT by A. V. Narasimhadhan, Kasi Rajgopal

“…s algorithm in terms of computational complexity.…”
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Colonic Wall Thickening Reported in Abdominal CT: Does It Always Imply Malignancy? by A. Akbas, H. Bakir, M. F. Dasiran, H. Dagmura, E. Daldal, Z. Ozsoy, Z. Ozmen, O. Demir, I. Okan

“…In this study, we aimed to examine the effect of the age, hemoglobin (Hb), albumin, neutrophil lymphocyte ratio (NLR), thrombocyte lymphocyte ratio (PLR), and mean platelet values (MPV) on the separation of benign and malignant diseases in patients with suspected colon wall thickness (CWT) observed in abdominal computed tomography (CT) examination. Method. The study included 116 patients between the ages of 18 and 95 who had CT examination where the colon wall could be evaluated and who also had colonoscopy. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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Seroprevalence and Trends in Human Immunodeficiency Virus Among Voluntary Non-Remunerated Blood Donors in a Teaching Hospital: Nine-year Retrospective Study by Muhamad Aidil Zahidin, Noor Haslina Mohd Noor, Marini Ramli, Mohd Nazri Hassan, Zefarina Zulkafli, Salfarina Iberahim, Rosnah Bahar, Shafini Mohd Yusoff, Wan Suriana Wan Abdul Rahman, Marne Abdullah

“…Data such as age, gender, marital status, frequency of donations, and serological results were obtained from the computer system of the blood bank and analyzed. Results: A total of 98,874 individuals donated blood and were screened for HIV infections. …”
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Cerebral Arterial Stenosis Detection Based on a Retained Two-Stage Detection Algorithm by Hanqing Liu, Xiaojun Li, Jin Wei, Xiaodong Kang

“…Stroke is one of the fatal diseases worldwide, and its primary mechanism is produced by cerebrovascular stenosis, blockages, or embolisms. Computer-aided diagnosis can assist clinical practitioners in identifying cerebrovascular anomalies, elucidating the precise lesions’ location in the patients, and providing guidance for clinical therapy. …”
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Daar is méér. ’n Outobiografiese reisverhaal deur Amper-Stamperland en Metaversum by L. Hoffman

“…; “Klopdisselboom met ’n pedonkiekar in Amper-Stamperland”; “Pikkewouters: Amperkaraktertjies in die Wilde Weste van stamper”; “bewolkte rekenarisering” (“computer clouding”); “blokkettings” (“block chains”). …”
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Considerations for ethics review of big data health research: A scoping review. by Marcello Ienca, Agata Ferretti, Samia Hurst, Milo Puhan, Christian Lovis, Effy Vayena

“…The methodological novelty and computational complexity of big data health research raises novel challenges for ethics review. …”
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Hyperandrogenism, Elevated 17-Hydroxyprogesterone and Its Urinary Metabolites in a Young Woman with Ovarian Steroid Cell Tumor, Not Otherwise Specified: Case Report and Review of t... by Felix C. K. Wong, Angela Z. Chan, W. S. Wong, Angel H. W. Kwan, Tracy S. M. Law, Jacqueline P. W. Chung, Jeffrey S. S. Kwok, Angel O. K. Chan

“…Transvaginal ultrasound and [18F]− fluorodeoxyglucose positron emission tomography–computed tomography (FDG PET–CT) enabled the localization of a right ovarian tumor. …”
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In Silico Study of Coumarins: Wedelolactone as a Potential Inhibitor of the Spike Protein of the SARS-CoV-2 Variants by Saurav Katuwal, Siddha Raj Upadhyaya, Rishab Marahatha, Asmita Shrestha, Bishnu P. Regmi, Karan Khadayat, Saroj Basnet, Ram Chandra Basnyat, Niranjan Parajuli

“…Herein, the inhibition potential of several naturally occurring coumarins was investigated against the spike proteins of SARS-CoV-2 variants using computational approaches. Molecular docking studies revealed 26 coumarins with better binding energies than the reference ligands, molnupiravir and ceftazidime, against the S-RBD of the omicron variant. …”
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Clustering by Hybrid K-Means-Based Rider Sunflower Optimization Algorithm for Medical Data by A. Jaya Mabel Rani, A. Pravin

“…This hybrid algorithm can get the advantages of both K-means and RSFO technique and avoid premature convergence of K-means algorithm and high computation cost of optimization technique. K-Means clustering algorithm is used to cluster the medical data by using an optimum centroid. …”
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Removal of an Aural Foreign Body by Magnetism by Emily Prentice, Emily Bartlett, Jonathan S. Ilgen

“…Case Presentation: A male patient in his thirties with a history of polysubstance use presented to the emergency department (ED) due to an abrasion on his left forehead caused by banging his head against a wall in self-injurious behavior. A non-contrast computed tomography of the head obtained to rule out intracranial injury incidentally demonstrated a radiodense foreign body in the left external ear canal. …”
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Application of Heterogeneous Network Oriented to NoSQL Database in Optimal Postevaluation Indexes of Construction Projects by Airong Yang, Guoxin Yu

“…Heterogeneous networks are composed of third-party computers, network equipment, and systems. Network types are usually used for other protocols to support other functions and applications. …”
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River water quality monitoring using machine learning with multiple possible in-situ scenarios by Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, Chris Aaron Winston, Ali Najah Ahmed, Mohsen Sherif, Amr H. El-Shafie, Ahmed El-Shafie

“…The study looks into the possibility of estimating WQI solely using dissolved oxygen (DO) and pH as predictors because the chemical parameters in the current Malaysian WQI calculation method takes some time to compute. This research provides insight into the accuracy, precision, and general performance of these models in predicting water quality by looking at the residuals of various scenarios and evaluating performance metrics across different machine learning models. …”
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