Web Tool Research Articles

Moving Toward Online-Based Sexually Transmitted Infection Testing and Treatment Services for Young People: Who Will Use It and What Do They Want?

The market for online sexually transmitted infection (STI) services is rapidly expanding. Online health services often have unequal uptake among different demographics of the population. There is a need to understand how different online delivery options for STI testing may appeal to different groups of young people, particularly young people who have higher rates of STI diagnoses. An online survey of young Australians aged 16 to 29 years was conducted to understand service preferences regarding consultation (telehealth, fully automated questionnaire), testing (electronic pathology form, at-home self-sampling), and treatment (e-prescriptions, mailed oral tablets). Multivariable multinomial logistic regression examined associations between user characteristics and service preferences, and adjusted relative risk ratios (aRRRs) and 95% confidence intervals (CIs) are presented. Among 905 respondents, rural youth were more likely to prefer fully automated questionnaires (aRRR, 1.9; 95% CI, 1.0-3.5) over telehealth consultations, whereas culturally and linguistically diverse (CALD) youth were less likely (aRRR, 0.4; 95% CI, 0.2-0.7). Rural youth preferred at-home self-sampling kits (aRRR, 1.9; 95% CI, 1.3-2.7) over electronic forms for on-site collection at pathology centers, with the opposite for CALD youth (aRRR, 0.7; 95% CI, 0.5-1.0). Receiving oral antibiotics by mail was preferred by rural youth (aRRR, 2.3; 95% CI, 1.1-4.6) over for in-clinic treatment, but not for CALD youth (aRRR, 0.5; 95% CI, 0.4-0.8). Our findings suggest that rural youth tend to prefer self-navigated and automated options, whereas CALD prefer options with greater provider engagement. Online STI service providers should consider how different service options may affect equitable uptake across the population and implications for addressing disparities in testing and treatment.

Modeling tumor growth using fractal calculus: Insights into tumor dynamics

Important concepts like fractal calculus and fractal analysis, the sum of squared residuals, and Aikaike’s information criterion must be thoroughly understood in order to correctly fit cancer-related data using the proposed models. The fractal growth models employed in this work are classified in three main categories: Sigmoidal growth models (Logistic, Gompertz, and Richards models), Power Law growth model, and Exponential growth models (Exponential and Exponential-Lineal models)”. We fitted the data, computed the sum of squared residuals, and determined Aikaike’s information criteria using Matlab and the web tool WebPlotDigitizer. In addition, the research investigates “double-size cancer” in the fractal temporal dimension with respect to various mathematical models.

An Investigation of the Impact of the High School Entrance Exam on the Teaching of English

English education programs are updated to keep up with the new trends and approaches. Curriculum designers introduce the changes into the curriculum. Since the teachers are expected to prepare students for the high-stakes exams, these exams are one of the problems that teachers face during their classes because of the preparation process. This study is therefore set out to determine the effects of high-school entrance exams on the implementation of the English curriculum. The methodological approach taken in this study is a mixed methodology based on the teachers’ views. 201 EFL teachers working at lower secondary schools filled the questionnaire regarding their in-class practices. Among the teachers, 10 teachers are interviewed by taking ample notes. To collect the quantitative data, web tools are utilized due to the vexatious process of Covid-19 days. The results of the study reveal that the high-school entrance test has negative effects regarding the approaches and methods employed in the classes. Furthermore, the classroom practices differ in different grades. The negative washback effects of high-stakes tests outweigh the positive ones in terms of the use of English language in a communicative way.

Synthesis, Characterization, Theoretical Studies and in Vitro Embriyotoxic, Genotoxic and Anticancer Effects of Novel Phenyl(1,4,6-Triphenyl-2-Thioxo-1,2,3,4-Tetrahydropyrimidin-5-yl)Methanone

In this study, phenyl (1,4,6-triphenyl-2-thioxo-1,2,3,4-tetrahydropyrimidin-5-yl)methanone was obtained by using the Biginelli reaction method. The structure of this compound was analyzed using elemental analysis, IR, 1H, and 13C NMR. The quantum chemical calculations (QCC) of this compound were performed density functional theory (DFT) method, 6–31 G (d, p) base set, and B3LYP functions with the Gaussian09W software package. Literature shows that pyrimidine-derived compounds have very active biological properties. For this reason, the biologically active properties of the synthesized compound were also examined. To determine embryotoxic, genotoxic, and cytotoxic effects of compound, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT), lactate dehydrogenase (LDH) release, micronucleus (MN) and 8-OH-dG assays were carried out. On the other hand, pharmacokinetic and toxicity properties (ADMET) were predicted in silico via SwissADME and Protox-II web tools. In silico estimates of this compound used in the study showed that the compound has the covetable physicochemical properties for bioavailability. In conclusion, the obtained results of our study clearly showed that this compound exerted strong toxicity potential.

AN IN SILICO PHARMACOKINETIC INVESTIGATION OF ORGANIC LUMINOGENS: UNDERSTANDING THE NIR AIEGENS AND THEIR INTERACTIONS WITH SERUM ALBUMINS

Objective: Fluorescence imaging (FLI) is accepted as a highly effective method for visualizing bioanalytics directly and gaining insight into complicated biological structures and processes. In this context, newly tailored organic molecules, which have the potential to be used in FLI, especially near-infrared (NIR) regions supported by aggregation-induced emission luminogens (AIEgens), are a rapidly developing area of study. Herein, using ADMET and molecular docking analyses, we examined the pharmacokinetic properties of both model (D2-A2-D2) and newly designed (Dn-An-Dn) organic luminogens to interact with blood proteins, namely bovine serum albumin (BSA) and human serum albumin (HSA), which have emerged as a versatile carrier of several therapeutic agents against preliminary cancer and infectious diseases. Material and Method: The structural properties of the examined luminogens were computed using the Gaussian 09 software package. The DFT/B3LYP/6-31G(d,p) level was then utilized for geometry optimization and accurately determining electronic structures and molecular properties. Lipinski's rule of five was applied to predict the drugability of the compounds using the SwissADME web tool. Molinspiration was used for further validation of these properties and additional bioactivity parameters. Toxicity parameters were evaluated with OSIRIS Property Explorer (v.4.5.1). Molecular docking simulations of the luminogen-albumin complexes were performed using SAMSON 2022 R2 modeling platform and implemented Autodock-vina extension. The X-ray crystal structures of bovine serum albumin (BSA, PDB ID: 4F5S) and human serum albumin (HSA, PDB ID: 4L9Q) were obtained from the Protein Data Bank. Visualization of the docking interactions was conducted using Discovery Studio Visualizer 2021. Result and Discussion: The compounds D1-A1-D1 and D1-A4-D1 stood out concerning molecular weight (MW) and ClogPo/w values, making them promising candidates for drug design. An analysis of lipophilicity revealed that these two compounds displayed high miLogP values, indicating a high degree of lipophilicity, which is generally beneficial for drug delivery. They also exhibited moderate bioactivity based on GPCR ligand and protease inhibitor (PI) parameters. On the other hand, D4-A3-D4 showcased paramount interaction with bovine serum albumin (BSA), while D5-A3-D5 demonstrated the highest binding affinity with human serum albumin (HSA).

Survey of Pulmonary Embolism Risk Stratification Methods in the Emergency Department and Barriers to Electronic Health Record Documentation

Introduction Pulmonary Embolism (PE) is a major cause of morbidity and mortality worldwide. Diagnosis is essential as untreated PE has a 30% mortality rate. Currently, computer tomography pulmonary angiogram (CTPA) is the standard of care to diagnose PE. However, this modality is expensive, exposes patients to radiation and increases risk of contrast induced nephropathy. Furthermore, only 5% of CTPAs performed are positive for PE signifying that many unnecessary tests are being performed. To address this gap, Pre-Test Probability (PTP) tools have been developed to safely exclude patients with low risk of PE and limit iatrogenic harm from over testing. Despite the tools being developed over 20 years ago, they are not widely available in electronic health record (EHR) systems and even when they are built in, uptake remains low. Methods Three large integrated health systems using Epic EHR systems across five states (MA, WI. MN, AZ, FL) built electronic PTP assessments into their EHR systems to safely exclude patients with low risk of PE and limit over testing. Two sites made the PTP optional, and one site made it a forced function (providers were forced to complete PTP prior to ordering CTPA unless a D-dimer result was present in the prior 48 hours). To assess the usability of these EHR tools, the team conducted a survey with ED clinicians across the three test sites. The survey was created to identify which PE risk stratification methods were employed by ED clinicians (EHR embedded PTP tool, apps on their phone, web applications like MDcalc, calculations from memory, or if they relied on clinical gestalt), and to identify barriers to using the EHR embedded PTP. Results Site 1 had 47 respondents, Site 2 had 94 respondents, and Site 3 had 16 respondents. Two key findings emerged from the survey (Figure 1). First, clinicians used a variety of risk stratification approaches and few of them documented their risk assessments in structured fields in the medical record. Second, clinical gestalt was the most used PE risk stratification approach, and this was true across all three test sites. In addition, the health system with a PTP prompt before clinicians could proceed with CTPA orders (Site 3) did not have a higher percentage of clinicians who reported using the EHR embedded tool than sites that did not prompt clinicians to fill in the PTP. Clinicians cited a variety of different barriers to using the EHR embedded PTP tool (Table 1). Conclusion While many clinicians indicated intermittent use of PTP criteria to aid in the diagnosis of PE, risk factors and scores from phone apps, web tools, and calculations from memory are unlikely to be documented in the patient's medical record, which means that they are not accessible to all members of the ED care team and cannot be used for electronic clinical quality measure. The biggest hurdles to increasing the use of structured PTP assessments in the ED setting to safely exclude PE and limit iatrogenic harm from over testing are (1) obtaining buy-in from ED clinicians that the PTP tools provide value over clinical gestalt, at least for a subset of patients who could most benefit, and (2) identifying best practices for incorporating PTP tools into EHR systems that make the tools easier to access and use 3) developing and implementing effective education and awareness programs around the PTP tools. This survey adds to the body of literature on PTP assessments in the ED setting and can help inform further research that is needed to continue to improve the diagnosis of PE. Funding: This project is funded in part by the Gordon and Betty Moore Foundation through Grant GBMF10778 to the American Society of Hematology.

The neurosurgeon workforce: a geographical gender-focused analysis of the trends in representation of neurosurgeons and choices in training over 70 years

OBJECTIVE Neurosurgeons frequently move throughout their careers, with moves driven by personal and professional factors. In this study, the authors analyzed these migration trends through a dynamic migratory map and statistical review, with a particular focus on differences in education and practice patterns between male and female neurosurgeons. METHODS A list containing all board-certified and -affiliated US neurosurgeons practicing in 2019 was obtained from the American Association of Neurological Surgeons. The list was augmented to include demographic and location information for medical school, residency, fellowship(s), and current practice for all neurosurgeons with publicly available data. Migration heatmaps were generated, and migration patterns over 10-year intervals were plotted. A web tool was additionally created to allow for dynamic visualization of this database. RESULTS The database included 5307 neurosurgeons with a mean age of 57.2 ± 11.3 years. The female population made up 8.93% of all neurosurgeons, and were found to be more likely to complete fellowships than their male counterparts, at 54.2% and 39.1%, respectively (p < 0.0001). A total of 39.5% of all neurosurgeons completed at least one fellowship. A large proportion of currently practicing US neurosurgeons completed medical school internationally in the 1990s. Recently, there has been a trend in neurosurgeons choosing to practice in the South, emigrating from the Northeast and the Western US Census regions. By population, the Western US region trained the fewest neurosurgeons at 1 per 115,000 residents, and the Northeastern US region trained the most at 1 per 49,000. The web tool provides a simple interface to visualize the database on a world map. CONCLUSIONS Diversity, equity, and inclusion in neurosurgery have been a strong point of discussion in recent literature, with neurosurgeons comprising one of the most gender-disparate workforces in the US medical system. This study provides additional metrics to assess these disparities to help motivate further action toward a larger, more diverse neurosurgical community.

Automated Crack Detection and a Web Tool Using Image Processing Techniques in Concrete Structures

Automated Crack Detection and a Web Tool Using Image Processing Techniques in Concrete Structures

GSK-3β inhibitörleri için in siliko ilaç yeniden konumlandırma

Tau, a protein associated with microtubules, is widely distributed throughout the central nervous system and promotes the polymerization, assembly, and stability of microtubules. Hyperphosphorylation of tau proteins leads to intracellular neurofibrillary tangles, which are the pathological hallmark of numerous neurodegenerative diseases (e.g., Alzheimer's disease) and are collectively referred to as "tauopathies". The most notable kinase identified in tau phosphorylation is glycogen synthase kinase 3 (GSK3). Among the GSK-3 isoforms, GSK-3β has been linked to the pathophysiology of neurodegenerative diseases. Pharmacological inhibition of GSK-3β has been suggested as a potential therapeutic target for these diseases. In this study, the literature and databases (e.g., HIT 2.0, PubChem, and ChEMBL) were searched for potential inhibitory drugs against GSK-3β and found 58 drugs. The drugs were filtered according to physicochemical-pharmacological properties and toxicity profiles via SwissADME, pkCSM, and ProTox-II, free web tools. After pre-filtration, molecular docking was performed against GSK-3β (PDB ID: 5K5N) with the remaining seven drugs (Nabumeton, Loxoprofen, Ketoprofen, Oxytetracycline, Benzoyl Peroxide, Naproxen, and Epinephrine Hydrochloride). According to the results, nabumetone had the best binding energy (-7.39 kcal/mol) and inhibition ability at the lowest concentration (3.8 µM) against GSK-3β among the seven drugs [compared to PF-04802367 (PDB ID: 6QH), a highly selective brain-penetrant kinase inhibitor]. Nabumetone is an NSAID used to treat some arthritis, postoperative pains, and dysmenorrhea. Our results suggest that nabumetone may be a potential inhibitor of GSK-3β.

Computational design of newly engineered DARPins as HER2 receptor inhibitors for breast cancer treatment.

Human epidermal growth factor receptor 2 (HER2) is overexpressed in approximately 25% of breast cancer patients; therefore, its inhibition is a therapeutic target in cancer treatment. In this study, two new variants of designed ankyrin repeat proteins (DARPins), designated EG3-1 and EG3-2, were designed to increase their affinity for HER2 receptors. To this end, DARPin G3 was selected as a template, and six-point mutations comprising Q26E, I32V, T49A, L53H, K101R, and G124V were created on its structure. Furthermore, the 3D structures were formed through homology modeling and evaluated using molecular dynamic simulation. Then, both structures were docked to the HER2 receptor using the HADDOCK web tool, followed by 100 ns of molecular dynamics simulation for both DARPins / HER2 complexes. The theoretical result confirmed both structures' stability. Molecular dynamics simulations reveal that the applied mutations on DARPin EG3-2 significantly improve the receptor binding affinity of DARPin. The computationally engineered DARPin EG3-2 in this study could provide a hit compound for the design of promising anticancer agents targeting HER2 receptors.

Adolescent Health Education in Don Bosco Frater Junior High School Students Tomohon City

Adolescents frequently encounter several nutrition-related issues, such as anemia, obesity, and chronic energy deficiency, among others. During the developmental phase of adolescence, individuals need guidance as well as encouragement from adult figures. There is a need for guidance in order to enhance individuals' self-awareness and awareness towards regularly arising concerns. Health education is an effective approach for enhancing individuals' understanding and abilities to transform their health-related behaviors through the process of acquiring knowledge. The purpose of this activity is to increase awareness of adolescent health education in Frater Don Bosco Junior High School . The methods this activity conducts interactive seminars and to assess the students' comprehension, the team conducts pre and post-tests utilizing the Web Tool platform to develop interactive quizzes. The result findings this activity can involve participants activaly and indicated a significant increase of 20.64% in participants' knowledge. The suggested recommendation for promoting enhanced understanding of adolescent health among students is to offer training programs to teachers and establish peer groups in schools.

Screening of Phytochemical, Antimicrobial, and Antioxidant Properties of Juncus acutus from Northeastern Morocco.

Juncus acutus, acknowledged through its indigenous nomenclature "samar", is part of the Juncaceae taxonomic lineage, bearing considerable import as a botanical reservoir harboring conceivable therapeutic attributes. Its historical precedence in traditional curative methodologies for the alleviation of infections and inflammatory conditions is notable. In the purview of Eastern traditional medicine, Juncus species seeds find application for their remedial efficacy in addressing diarrhea, while the botanical fruits are subjected to infusion processes targeting the attenuation of symptoms associated with cold manifestations. The primary objective of this study was to unravel the phytochemical composition of distinct constituents within J. acutus, specifically leaves (JALE) and roots (JARE), originating from the indigenous expanse of the Nador region in northeastern Morocco. The extraction of plant constituents was executed utilizing an ethanol-based extraction protocol. The subsequent elucidation of chemical constituents embedded within the extracts was accomplished employing analytical techniques based on high-performance liquid chromatography (HPLC). For the purpose of in vitro antioxidant evaluation, a dual approach was adopted, encompassing the radical scavenging technique employing 2,2-diphenyl-1-picrylhydrazyl (DPPH) and the total antioxidant capacity (TAC) assay. The acquired empirical data showcase substantial radical scavenging efficacy and pronounced relative antioxidant activity. Specifically, the DPPH and TAC methods yielded values of 483.45 ± 4.07 µg/mL and 54.59 ± 2.44 µg of ascorbic acid (AA)/mL, respectively, for the leaf extracts. Correspondingly, the root extracts demonstrated values of 297.03 ± 43.3 µg/mL and 65.615 ± 0.54 µg of AA/mL for the DPPH and TAC methods. In the realm of antimicrobial evaluation, the assessment of effects was undertaken through the agar well diffusion technique. The minimum inhibitory concentration, minimum bactericidal concentration, and minimum fungicidal concentration were determined for each extract. The inhibitory influence of the ethanol extracts was observed across bacterial strains including Staphylococcus aureus, Micrococcus luteus, and Pseudomonas aeruginosa, with the notable exception of Escherichia coli. However, fungal strains such as Candida glabrata and Rhodotorula glutinis exhibited comparatively lower resistance, whereas Aspergillus niger and Penicillium digitatum exhibited heightened resistance, evincing negligible antifungal activity. An anticipatory computational assessment of pharmacokinetic parameters was conducted, complemented by the application of the Pro-tox II web tool to delineate the potential toxicity profile of compounds intrinsic to the studied extracts. The culmination of these endeavors underpins the conceivable prospects of the investigated extracts as promising candidates for oral medicinal applications.

KIF2C promotes clear cell renal cell carcinoma progression via activating JAK2/STAT3 signaling pathway

BackgroundClear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors that can be highly aggressive. Despite advances in the exploration of its underlying molecular biology, the clinical outcome for advanced ccRCC is still unsatisfied. Recently, more attention was paid to the functions of Kinesin family member 2C (KIF2C) in cancer progression, while the specific function of KIF2C in ccRCC has not been sufficiently elucidated. The present study aims to investigate the role of KIF2C in the progression of ccRCC and reveal potential mechanisms. MethodsExpression of KIF2C in ccRCC tissues and adjacent normal tissue was compared and the association of KIF2C expression level with tumor grade, stage, and metastasis were analyzed using online web tool. Kaplan-Meier survival was performed to detect the association of KIF2C expression and patient’ prognosis. Stably cell lines with KIF2C knockdown or overexpression were constructed by lentivirus infection. CCK-8, colony formation, scratch healing, and transwell invasion assays were carried out to explore the effect of KIF2C knockdown or overexpression on the proliferation, migration, and invasion of ccRCC cells. Gene set enrichment analysis (GSEA) was conducted to reveal signaling pathways associated with KIF2C expression. The effect of KIF2C on JAK2/STAT3 signaling pathway were explored by western blot assay. ResultsKIF2C expression was significantly upregulated in ccRCC tissues and was higher with the increase of tumor grade, stage, and metastasis. Higher expression of KIF2C was correlated with worse overall survival and diseases free survival in ccRCC patients. Silence of KIF2C inhibited proliferation, migration, and invasion in ccRCC cells. Conversely, overexpression of KIF2C had the opposite effect. GSEA results showed that JAK/STAT signaling pathway was markedly enriched in KIF2Chigh group. Pearson’ correlation revealed that KIF2C expression was significantly associated with genes in JAK2/STAT3 signaling. Western blot results showed that KIF2C knockdown decreased protein expression of p-JAK2 and p-STAT3, and KIF2C overexpression increased the phosphorylation of JAK2 and STAT3. AG490, a JAK2/STAT3 signaling inhibitor, could partly impair the tumor-promoting effects of KIF2C in ccRCC. ConclusionKIF2C expression was significantly upregulated in ccRCC and correlated with tumor grade, stage, metastasis, and patients’ prognosis. KIF2C promoted ccRCC progression via activating JAK2/STAT3 signaling pathway, and KIF2C might be a novel target in ccRCC therapy.

Synthesis, in silico and in vitro studies of novel quinazolinone derivatives as potential SARS-CoV-2 3CLpro inhibitors

A series of new quinazolinone derivatives (5a-l) were designed as 3CL protease inhibitors for SARS-CoV-2 infection. The designed derivatives were efficiently synthesized by S-alkylation/arylation of an intermediate, 6-fluoro-3-(4-fluorophenyl)-2-mercaptoquinazolin-4(3H)-one and their successful synthesis was established by analytical methods, viz. IR, 1H NMR, &13C NMR spectroscopy. The in silico inhibitory potential against 3CLpro of SARS-CoV-2 were studied by means of docking and dynamics simulations, and compared with the co-crystallized ligand (VR4) of SARS-CoV-2 3CLpro. The compounds interacted strongly within the active catalytic dyad (Cys-His) site, thereby anticipated to obstruct the function of 3CLpro of SARS-CoV-2. Compounds 5b, 5c, 5i, 5j and 5l showed efficient binding with protease 3CLpro with XP Gscore of −7.4, −8.3, −7.8, −7.5 and −8.2 respectively. Furthermore, molecular dynamic simulation study of these compounds (5b, 5c, 5i, 5j and 5 l) showed stable interaction over 50 ns production run. Swiss ADME and pkCSM web tools showed favorable physicochemical and pharmacokinetic properties and fulfilled the criteria for drug-likeness of these selected studied compounds. The toxicity determination of these selected compounds predicted that some compounds were hepatotoxic, but were not AMES toxic. Compounds 5b, 5c, 5i, 5j and 5 l revealed their inhibitory potential against the SARS-CoV-2 3CLpro, and their IC50 values were attained at 1.58, 1.25, 1.97, 0.44 and 2.56 µM, respectively. In addition, these compounds were found to have devoid of any significant cytotoxicity even at a higher concentration of 20 µM against VeroE6 cells. These quinazolinone derivatives showed potent binding and inhibitory potential against SARS-CoV-2 3CLpro and may emerge as compounds that might act as prospective inhibitors.

New Hybrid EC-Promethee Method with Multiple Iterations of Random Weight Ranges: Applied to the Choice of Policing Strategies

The decision-making process is part of everyday life for people and organizations. When modeling the solutions to problems, just as important as the choice of criteria and alternatives is the definition of the weights of the criteria. This study will present a new hybrid method for weighting criteria. The technique combines the ENTROPY and CRITIC methods with the PROMETHE method to create EC-PROMETHEE. The innovation consists of using a weight range per criterion. The construction of a weight range per criterion preserves the characteristics of each technique. Each weight range includes lower and upper limits, which combine to generate random numbers, producing “t” sets of weights per criterion, allowing “t” final rankings to be obtained. The alternatives receive a value corresponding to their position with each ranking generated. At the end of the process, they are ranked in descending order, thus obtaining the final ranking. The method was applied to the decision support problem of choosing policing strategies to reduce crime. The model used a decision matrix with twenty criteria and fourteen alternatives evaluated in seven different scenarios. The results obtained after 10,000 iterations proved consistent, allowing the decision maker to see how each alternative behaved according to the weights used. The practical implication observed concerning traditional models, where a single final ranking is generated for a single set of weights, is the reversal of positions after “t” iterations compared to a single iteration. The method allows managers to make decisions with reduced uncertainty, improving the quality of their decisions. In future research, we propose creating a web tool to make this method easier to use, and propose other tools are produced in Python and R.

Analysis of radar images of the Sentinel-1 satellite using the EO Browser web resource

The article's purpose is to review the capabilities of the EO Browser web resource and tools for remote sensing data analysis and visualization. Examples of satellite images obtained using a synthetic aperture radar are given. The presented results were obtained during the processing of radar images of the Sentinel-1 satellite, which are freely available thanks to the implementation of the Copernicus program concept regarding the public availability of Earth remote sensing data. The results of satellite radar acquisition are used to prevent, preserve, and forecast natural or technogenic threats and risks, considering the high frequency of acquisition and the promptness of obtained data. The effectiveness of using the web resource in solving the environmental monitoring tasks in seawater areas, identifying accident sites, determining the area of oil spills, planning measures to eliminate the consequences and reduce environmental risks, and collecting the evidence base about the event is shown. The mechanism of reflection of the radar signal from various natural surfaces (including oil spills into the sea) and artificial objects (for detecting the position of sea vessels) is considered. A comparison of the effectiveness of using radar images of the Sentinel-1 satellite with optical images taken by the Sentinel-2 satellite for monitoring the condition of forest areas was performed. Satellite radar images are a reliable data source for continuously monitoring unregulated woodland destruction. The results' practical significance lies in using EO Browser to solve a wide range of scientific, practical, and educational problems using radar images. Further research using satellite radar images and the EO Browser platform is related to environmental monitoring in marine water areas. This applies to issues related to the detection of accumulations of garbage and plastic on water surfaces. It is promising to use the potential of the web resource for position designing and rapid determination of the effectiveness of deploying ground corner reflectors during geodynamic monitoring of the earth's surface. Keywords: synthetic aperture radar, remote sensing, environmental monitoring

Student’s perception towards using Quizizz as an online evaluation medium of English learning

Using technology as a medium in the learning process is very beneficial for teachers, lecturers, and students. Quizizz is a web tool that can be used to conduct interactive quizzes for learning. Quizizz, in this study, is used as an online evaluation medium for learning English. However, every learning medium has advantages and disadvantages, including Quizizz. This research aims to determine students' perceptions of Quizizz as an online evaluation medium for English language learning. The mixed method is the method of this study, with the instruments being observation, questionnaires, and interviews. The research subjects were twenty students of economics education. The results obtained from the questionnaire showed that the use of Quizizz in online evaluation received positive responses from students. This response is shown by the ten questionnaire items getting a high percentage for each positive statement. Likewise, from the in-depth interviews, the data obtained also received positive and varied responses. From the results of this research, it was concluded that online evaluation using Quizizz media was very well received by students and could be used in the future by considering input and suggestions from students regarding this medium. In addition, other subjects can use this medium as a learning evaluation medium.

KClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types

Partition-based clustering is widely applied over diverse domains. Researchers and practitioners from various scientific disciplines engage with partition-based algorithms relying on specialized software or programming libraries. Addressing the need to bridge the knowledge gap associated with these tools, this paper introduces kClusterHub, an AutoML-driven web tool that simplifies the execution of partition-based clustering over numerical, categorical and mixed data types, while facilitating the identification of the optimal number of clusters, using the elbow method. Through automatic feature analysis, kClusterHub selects the most appropriate algorithm from the trio of k-means, k-modes, and k-prototypes. By empowering users to seamlessly upload datasets and select features, kClusterHub selects the algorithm, provides the elbow graph, recommends the optimal number of clusters, executes clustering, and presents the cluster assignment, through tabular representations and exploratory plots. Therefore, kClusterHub reduces the need for specialized software and programming skills, making clustering more accessible to non-experts. For further enhancing its utility, kClusterHub integrates a REST API to support the programmatic execution of cluster analysis. The paper concludes with an evaluation of kClusterHub’s usability via the System Usability Scale and CPU performance experiments. The results emerge that kClusterHub is a streamlined, efficient and user-friendly AutoML-inspired tool for cluster analysis.

SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization.

Most steps of drug discovery are now routinely supported and accelerated by computer-aided drug design tools. Among them, structure-based approaches use the three-dimensional structure of the targeted biomacromolecule as a major source of information. When it comes to calculating the interactions of small molecules with proteins using the equations of molecular mechanics, topologies, atom typing, and force field parameters are required. However, generating parameters for small molecules remains challenging due to the large number of existing chemical groups. The SwissParam web tool was first released in 2011 with the aim of generating parameters and topologies for small molecules based on the Merck molecular force field (MMFF) while being compatible with the CHARMM22/27 force field. Here, we present an updated version of SwissParam, providing various new features, including the possibility to setup covalent ligands. Molecules can now be imported from different file formats or via a molecular sketcher. The MMFF-based approach has been updated to provide parameters and topologies compatible with the CHARMM36 force field. An option was added to generate small molecule parametrizations following the CHARMM General Force Field via the multipurpose atom-typer for CHARMM (MATCH) approach. Additionally, SwissParam now generates information on probable alternative tautomers and protonation states of the query molecule so that the user can consider all microspecies relevant to its compound. The new version of SwissParam is freely available at www.swissparam.ch and can also be accessed through a newly implemented command-line interface.

ExplORRNet: An interactive web tool to explore stage-wise miRNA expression profiles and their interactions with mRNA and lncRNA in human breast and gynecological cancers

BackgroundMicroRNAs (miRNAs) are key regulators of gene expression that have been implicated in gynecological and breast cancers. Understanding the cancer stage-wise expression patterns of miRNAs and their interactions with other RNA molecules in cancer is crucial to improve cancer diagnosis and treatment planning. Comprehensive web tools that integrate data on the transcriptome, circulating miRNAs, and their validated targets to derive beneficial conclusions in cancer research are lacking. MethodsUsing the Shiny R package, we developed a web tool called ExplORRNet that integrates transcriptomic profiles from The Cancer Genome Atlas and miRNA expression data derived from various sources, including tissues, cell lines, exosomes, serum, and plasma, available in the Gene Expression Omnibus database. Differential expression analyses between normal and tumor tissue samples as well as different stages of cancer, accompanied by gene enrichment and survival analyses, can be performed using specialized R packages. Additionally, a miRNA-messenger RNA (mRNA)-long non-coding RNA (lncRNA) networks are constructed to identify regulatory modules. ResultsOur tool identifies cancer stage-wise differentially regulated miRNAs, mRNAs, and lncRNAs in gynecological and breast cancers. Survival analysis identifies miRNAs associated with patient survival, and functional enrichment analysis provides insights into dysregulated miRNA-related biological processes and pathways. The miRNA–mRNA–lncRNA networks highlight interconnected regulatory molecular modules driving cancer progression. Case studies demonstrate the utility of the ExplORRNet for studying gynecological and breast cancers. ConclusionExplORRNet is an intuitive and user-friendly web tool that provides a deeper understanding of dysregulated miRNAs and their functional implications in gynecological and breast cancers. We hope our ExplORRNet tool has potential utility among the clinical and basic researchers and will be beneficial to the entire cancer genomics community to encourage and facilitate mining the rapidly growing public databases to progress the field of precision oncology. The ExplORRNet is available at https://mirna.cs.ut.ee.