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Purpose of the study: to consider and implement in practice a system for displaying content on screens of different resolutions and orientations in relation to an educational institution, using both a pure Smart TV (built-in browser of modern TV) and a player connected to Digital Signage screens. In system engineering, the main emphasis (and, as a result, the key task) is on the absence of duplication of content for different types of output screens (including interactive touchscreen kiosks), which is especially important because the implemented system will be built on free, open-source technologies and integrated into the current university website, which no other proprietary Digital Signage software system can offer.Materials and methods: the study uses different methods of transformation and output of content, but adaptation methods based on cascading style sheets (CSS) are mainly used. The experience of foreign programmers working with adaptive layouts for the web and operating their own blogs was studied (in the “Reference” section). Compromise methods for displaying graphic images and video materials are considered and proposed based on the experience gained during testing of the prototype system.Results: development of a system for displaying content on multi-format screens, requiring minimal subsequent support and intervention from the administrator responsible for filling it with content. An analysis of some potential solutions and their compatibility was carried out, taking into account browser support for CSS3 and HTML5 standards, and working solutions were selected that can be used in the design of individual templates for displaying content in hypertext format and CSS designs (rules) that work for the purpose of the study. The article compares approaches to designing adaptive templates for displaying web content in HTML (hypertext) format. The basic principles are considered under which content intended primarily for a university website can, without a third-party administrator (and also, in some cases, with minimal intervention) be displayed on corporate TV and touchscreen kiosks of universities thanks to the use of cascading style sheets (CSS) and relative units of measurement (vh, vw, vmin, vmax) and tags introduced in HTML5. The article also discusses how to level out the nuances associated with different resolutions of graphic images and screen orientation.Conclusion: the final paragraphs of the article conclude on the nuances of the functioning of the developed system, the effectiveness of which directly depends on methods of implementation and technologies used, chosen and discussed in the article. The implementation of the system will increase the awareness of students of an educational institution about events (announced or conducted), and will allow the system administrator to increase work efficiency by publishing and administering content only in “one window” (for example, on the university website), and the developed output template and/or CSS rules will display it on the internal screens, maintaining readability and perception of information. The developed and tested methods can be used by programmers, working in educational institutions.

Nowadays, web applications play central roles in information systems using the Internet. Then, client-side web programming using HTML, CSS, and JavaScript should be mastered first by novice students. Previously, we have presented the element fill-in-blank problem (EFP) for its self-study. An EFP instance requests to fill in the blank elements in the given source code by referring to the screenshots of the corresponding web page. The correctness of any answer is marked through string matching. However, these blanks were manually selected by considering the importance of elements and the uniqueness of their correct answers. In this paper, we propose a blank element selection algorithm to automatically generate a new EFP instance from a given source code for client-side web programming. We define the seven rules on blank element selections from the code, and implement the procedure in Python using the open source BeautifulSoup and regular expressions' ' For evaluations, we applied the algorithm to the 47 source codes used for manual generations and obtained the better EFP instances with more blanks. Besides, we verified the effectiveness by generating 10 new instances with the algorithm and assigning them to 40 students. In addition, we extended its application to three source codes for games and verified the effectiveness by assigning them to 20 students, to further validate the applicability of the algorithm in EFP instance generations. We also evaluated the relationships between the number of blanks, the number of lines in source codes, the submission times and answer rates of students to further assess the adaptability of the algorithm. These results allow us to measure the algorithm's versatility in generating a wide range of EFP instances and contributes to comprehensive understanding of instance difficulties and learning outcomes. [ABSTRACT FROM AUTHOR]

The complexity of patient care, the rapid expansion of medical knowledge, and the requirement for more precise decision-making has made the demand for creative solutions inevitable, a Medical Intelligent Process Model (MIPM) utilizing an ontology-based appears as a promising way to overcome this obstacle and unleash the full potential of healthcare systems. The development of MIPM is motivated by lack of quick access to relevant medical information, advanced tools for treatment planning and clinical decision-making. This work is aimed at developing a structured and knowledge-driven framework that leverages ontology, a formal representation of domain knowledge, to enhance various aspects of healthcare. Object-Oriented Analysis and Design Methodology (OOADM) was adopted in the design of the system as we desired to build a usable and evolvable application. For effective implementation of this work, medical dataset from Kaggle was utilized; ontology-based technique was used with confusion matrix to test the system. MySQL database engine was used to model the data used, with Laravel-migration to integrate Ontology in the database. Python, Hypertext Markup Language (HTML), Hypertext Preprocessor (PHP), Cascaded Style Sheet (CSS) and Java Script were used in the actual development of the system. A medical intelligent process using ontology-based technique was developed. [ABSTRACT FROM AUTHOR]

Introduction: Several clinical prediction rules (CPRs) have been published, but few are easily accessible or convenient for clinicians to use in practice. We aimed to develop, implement, and describe the process of building a web-based CPR for predicting independent walking 1-year after a traumatic spinal cord injury (TSCI). Methods: Using the published and validated CPR, a front-end web application called "Ambulation" was built using HyperText Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript. A survey was created using QualtricsXM Software to gather insights on the application's usability and user experience. Website activity was monitored using Google Analytics. Ambulation was developed with a core team of seven clinicians and researchers. To refine the app's content, website design, and utility, 20 professionals from different disciplines, including persons with lived experience, were consulted. Results: After 11 revisions, Ambulation was uploaded onto a unique web domain and launched (www.ambulation.ca) as a pilot with 30 clinicians (surgeons, physiatrists, and physiotherapists). The website consists of five web pages: Home, Calculation, Team, Contact, and Privacy Policy. Responses from the user survey (n = 6) were positive and provided insight into the usability of the tool and its clinical utility (e.g., helpful in discharge planning and rehabilitation), and the overall face validity of the CPR. Since its public release on February 7, 2022, to February 28, 2023, Ambulation had 594 total users, 565 (95.1%) new users, 26 (4.4%) returning users, 363 (61.1%) engaged sessions (i.e., the number of sessions that lasted 10 seconds/longer, had one/more conversion events e.g., performing the calculation, or two/more page or screen views), and the majority of the users originating from the United States (39.9%) and Canada (38.2%). Discussion: Ambulation is a CPR for predicting independent walking 1-year after TSCI and it can assist frontline clinicians with clinical decision-making (e.g., time to surgery or rehabilitation plan), patient education and goal setting soon after injury. This tool is an example of adapting a validated CPR for independent walking into an easily accessible and usable web-based tool for use in clinical practice. This study may help inform how other CPRs can be adopted into clinical practice. [ABSTRACT FROM AUTHOR]

Scientific studies concentrated in Antarctica hold great value and importance for humanity. Research projects are conducted in various disciplines on the continent, where nearly 100 research stations from 30 countries are established. Despite the challenges posed by Antarctica's natural structure, unique environment, difficult working conditions, and limited logistics opportunities, scientific research conducted there is indispensable due to the valuable information it offers. In pursuit of accessing this information, Turkish Antarctic expeditions have been organized since 2017. In this study, a polar data center was established through a web-based geographic information system (WebGIS), a significant infrastructure for the continuity of scientific studies. The implemented projects and raw/processed data from previous expeditions in diverse subjects and disciplines, including geology, geophysics, geography, hydrology, meteorology, oceanography, glaciology, atmospheric physics, chemistry, microbiology, and remote sensing, were incorporated into this information system. Studies in Antarctica have primarily focused on observing the effects of global warming, necessitating the monitoring of past and current data related to sea ice, sea level, and coastal changes. The data also encompasses seismic, volcanic, tectonic, and Global Navigation Satellite System (GNSS) monitoring. As suggested by the Antarctic Treaty, a user-friendly website was designed and made accessible for research projects, data, and publications. An entity relationship diagram was created for the fields to be included in the database. These fields were structured as tables using structured query language (SQL) queries in PgAdmin. A workspace and storage area were created in GeoServer, and a connection was established with PostGIS. Layers of spatial and nonspatial data from the PgAdmin application were added to the GeoServer workspace. The data transferred to GeoServer were presented in an OpenLayers web map with Web Map Service (WMS) and Web Feature Service (WFS) according to Open Geospatial Consortium (OGC) standards. Additionally, a mini web map was designed using the desktop Quantum GIS (QGIS) application and GIS Cloud collaboration, displaying GNSS and meteorological (weather) observation stations on the continent. A dynamic web project was employed for coding in Eclipse software, where backend coding was done with JavaScript. SQL was used as a part of the backend to integrate data from the database per request. Frontend coding for the website's visual side was completed with HTML, CSS, and JavaScript. As a result, a WebGIS platform was developed where researchers can register, add projects, and publications, and view data on a map. Users can download, analyze, and utilize the available data. The data center's existence underscores the importance of polar science and serves as an incentive for further research. [ABSTRACT FROM AUTHOR]

Nowadays, people like to travel to alleviate the stress and depression they experience in their busy lives, and if they can do so at a low cost, it will be even more beneficial to them. A traveler can choose to book a travel ticket themselves or to contact a travel agency, who will book a ticket for them. A lack of vehicle management can cause travel agencies to lose profit. In this article, we have provided proficient solutions for vehicle optimization to minimize travel costs. Additionally, however, arranging an appropriate tour guide is sometimes expensive for travelers. Moreover, travelers often do not know about suitable travel packages and occasionally do not know where they may want to visit. In this paper, we have discussed how we used effective methods to reduce vehicle costs for tour purposes. Furthermore, an optimal bus seat occupancy solution has been developed, incorporating the package system and including a tour guide. Our system offers a remedy by providing access to cost-effective packages. We have also added a blog portal to our web-based software for an overview all tourist places and their information. As a result, we have found optimized routes and provide low-cost, high-value tours. We have also reduced carbon footprint emissions. Our proposed optimal vehicle usage system has been developed using Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), the Tailwind Framework, React, and Node.js. [ABSTRACT FROM AUTHOR]

The article provides an overview of the synchrotron radiation calculation code SPECTRA, which is used to evaluate the characteristics of synchrotron radiation. It discusses the history of the code's development, including challenges and limitations of earlier versions, and highlights new functions and improvements in the current version. The article also mentions special features of SPECTRA for beamline design. Additionally, the text discusses computational methods used to evaluate synchrotron radiation in a third-generation facility and introduces a simplified method for performing the coherent mode decomposition. The article concludes by mentioning that the SPECTRA code is available for use on the official website. [Extracted from the article]

Copyright of Journal of Computer Science & Technology (JOCSTEC) is the property of PT. Padang Tekno Corp and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain–computer (BCI) interface and internet-of-things (IoT) applications. Approach: The EEG-based BCI headset was designed from commercial off-the-shelf (COTS) components using a multi-pronged approach that balanced interoperability, cost, portability, usability, form factor, reliability, and closed-loop operation. Main Results: The adjustable headset was designed to accommodate 90% of the population. A patent-pending self-positioning dry electrode bracket allowed for vertical self-positioning while parting the user's hair to ensure contact of the electrode with the scalp. In the current prototype, five EEG electrodes were incorporated in the electrode bracket spanning the sensorimotor cortices bilaterally, and three skin sensors were included to measure eye movement and blinks. An inertial measurement unit (IMU) provides monitoring of head movements. The EEG amplifier operates with 24-bit resolution up to 500 Hz sampling frequency and can communicate with other devices using 802.11 b/g/n WiFi. It has high signal–to–noise ratio (SNR) and common–mode rejection ratio (CMRR) (121 dB and 110 dB, respectively) and low input noise. In closed-loop BCI mode, the system can operate at 40 Hz, including real-time adaptive noise cancellation and 512 MB of processor memory. It supports LabVIEW as a backend coding language and JavaScript (JS), Cascading Style Sheets (CSS), and HyperText Markup Language (HTML) as front-end coding languages and includes training and optimization of support vector machine (SVM) neural classifiers. Extensive bench testing supports the technical specifications and human-subject pilot testing of a closed-loop BCI application to support upper-limb rehabilitation and provides proof-of-concept validation for the device's use at both the clinic and at home. Significance: The usability, interoperability, portability, reliability, and programmability of the proposed wireless closed-loop BCI system provides a low-cost solution for BCI and neurorehabilitation research and IoT applications. [ABSTRACT FROM AUTHOR]

This paper delves into the concept of virtual electrical laboratories, offering a comprehensive exploration of their design and functionality. A user-centered perspective is employed to analyze existing limitations and underscore the critical need for improved usability in virtual lab design. The study proposes practical applications aimed at swiftly enhancing the efficacy of these virtual environments, focusing on experiments involving R-L-C, R-L, and R-C circuits for both steadystate and transient responses. Using JavaScript, Hypertext Markup Language (HTML), and Cascading Style Sheets (CSS), the paper introduces a validated methodology through real-time experiments conducted in the laboratory and on the proposed virtual lab platform. The versatility of this approach positions it as a viable solution for implementation in various domains, including electric machines, power systems, and circuit theory labs. In alignment with the growing trend of long-distance education, where students seek engagement in diverse experiments from their homes, this paper contributes to the evolution of virtual electrical laboratories. [ABSTRACT FROM AUTHOR]

Since the initial release of the World Wide Web, the capabilities of web browsers have grown from presenting formatted documents to running complex programs, such as 3D game engines. The medical imaging community started to adopt technologies that came with the fifth major version of the HyperText Markup Language (HTML5). It led to the creation of various web-based radiological applications such as cornerstone.js or BrainBrowser. BrainBrowser supports both 3D and 2D rendering of neuroimaging data. However, it cannot run important image processing algorithms, such as brain extraction and linear registration, which are essential in most neuroimaging workflows. The most commonly used library that supports these algorithms is the FMRIB Software Library (FSL). We aim to build a web-based cross-platform neuroimaging platform that combines data visualization with image processing. We built our system as an extension of BrainBrowser. We developed WebMRI in JavaScript and designed the user interface using HTML, CSS, and Bootstrap. We used Emscripten to port the brain extraction and linear registration tools of FSL to the web. We built WebMRI, a fully web-based extensible neuroimaging platform that combines the visualization capabilities of BrainBrowser with the brain extraction and linear registration tools of FSL by porting them from C++ to WebAssembly. We extended BrainBrowser with a plugin system that makes it easy to bring other processing algorithms into the platform. We released the WebMRI source code on Github: https://github.com/wpmed92/WebMRI. We developed and released WebMRI, a web-based cross-platform open-source neuroimaging platform. [ABSTRACT FROM AUTHOR]

The use of podcast and Web radio episodes as a medium for delivery of course materials in educational institutions has attracted tremendous attention following the Covid-19 pandemic. In this paper, a Web application is written to facilitate the generation, editing, downloading and sharing of prerecorded lecture materials as a part of blended teaching and learning delivery in educational institutions. The podcast and Internet radio application receive live audio from an audio streaming server and play it out to the receiver or audience over the Web instead of over the air. The software automatically updates online multimedia content at set intervals as new and additional podcasts arrive from the originating source, and produce bespoke broadcasts, talks, discussions, messages, live music, news and entertainment activities throughout the day. The methodology adopted for the research is Component-Based Engineering (CBSE) model. The programming languages, components and tools used include HTML, Cascading Style Sheets (CSS) and JavaScript for front-end; MongoDb for database; Nodejs for Server side; Adobe audition and Aimp for recording input; streaming encoder; and a server side host. With this delivery medium, registered students, parents, families and community can download podcast episodes on-demand, and listen to scheduled radio broadcasts on their mobile devices, digital music players or computers at a time of their choice, thus improving instruction and learning. [ABSTRACT FROM AUTHOR]

Web applications created using web languages such as HTML, CSS, and JavaScript are widely used regardless of execution environments, owing to their portability and popularity. Since JavaScript language is conventionally used for complex computations in large‐scale web apps, many optimization techniques have been proposed to accelerate the JavaScript performance. However, most of these optimizations speed up JavaScript engines at the expense of consuming more memory. Hence, memory consumption becomes an additional concern in the JavaScript field. Based on the research on memory status, we unearthed that a substantial portion of the heap memory is allocated for JavaScript source code, particularly in lightweight JavaScript engines, which may range from 13.2% to a maximal 52.5% of the entire heap. To resolve this memory issue, this article suggests a new memory optimization method, called dynamic code compression that dynamically compresses the source code and keeps its compressed form instead of the source string. A novel heuristic is proposed to timely compress the source code. We also re‐design the internal structure of the JavaScript engine to efficiently compress the source code without incurring any conflict. Using our code compression method, we could reduce the entire heap memory by up to 43.3% and consistently downsize the overall heap size. From an evaluation of standard benchmarks, our approach showed just 2.7% degradation in performance with negligible compression overhead, proving the feasibility of the code compression technique. [ABSTRACT FROM AUTHOR]

The safety of workers is significant when talking about large risky workplaces such as construction job sites. Therefore, we proposed a UHF-RFID tag antenna that can be used to identify various Job site equipments and also construction workers by tagging their wearable helmets. Here, the compact, low profile, and simple structured platform-tolerant RFID tag antenna is proposed and optimized for metal sheet and ABS-based safety helmets. Furthermore, WTMiddleware (Worker Tracking Middleware) using Javascript, CSS, and HTML has been implemented to demonstrate a real-time secured web-based remote access of workers to provide their actual on-site monitoring and tracking of construction equipment carried/operated by the workers for tracking solutions. First, the fabricated tag's performance was tested successfully in an outdoor scenario on various mountable materials such as wood, glass, plastic, and metal. The tag yielded a reasonable read range of 5.9 m on metallic sheet and 7.1 m on plastic with the highest read distance of 9.3 m on a glass sheet. Also, the measurement setup along with developed WTMiddleware was deployed in an actual workplace to demonstrate practical utility of the designed tag affixed on workers' safety helmets. It was observed that all the workers wearing tagged helmets were successfully identified, tracked, and monitored. Also, their real-time on-site details, working zone, and complete personal details were accessed through a developed web page application via WTMiddleware. [ABSTRACT FROM AUTHOR]

Copyright of Uporabna Informatika is the property of Slovensko Drustvo Informatika and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cascading Style Sheets (CSS) express the visual design of a website through code and remain an understudied area of web history. Although CSS was proposed as a method of adding a design layer to HTML documents early on in the development of the web, they only crossed from a marginal position to mainstream usage after a long period of proselytising by web designers working towards "web standards". The CSS Zen Garden grassroots initiative aimed at negotiating, mainstreaming and archiving possible methods of CSS web design, while dealing with varying levels of browser support for the technology. Using the source code of the CSS Zen Garden and the accompanying book, this paper demonstrates that while the visual designs were complex and sophisticated, the CSS lived within an ecosystem of related platforms, i.e., web browsers, screen sizes and design software, which constrained its use and required enormous sensitivity to the possibilities browser ecosystems could reliably provide. As the CSS Zen Garden was maintained for over ten years, it also acts as a unique site to trace the continuing development of web design, and the imaginaries expressed in the Zen Garden can also be related to ethical dimensions that influence the process of web design. Compared to Flash-based web design, work implemented using CSS required a greater willingness to negotiate source code configurations between browser platforms. Following the history of the individuals responsible for creating and contributing to the CSS Zen Garden shows the continuing influence of layer-based metaphors of design separated from content within web source code. [ABSTRACT FROM AUTHOR]

The rapid growth of biological databases has resulted in the vast development of many state-of-the-art molecular analysis tools for accurate disease diagnosis and drug discovery. Protein Data Bank (PDB) is a leading molecular database consisting of three-dimensional (3D) experimental structures of macromolecules and small molecules. The most significant role of PDB in Bioinformatics includes molecular modelling and computer-aided drug design (CADD). PDBms is a web tool for splitting PDB file and interactive visualization of molecules. It parses coordinate section records in the PDB file and categorizes them into a group of molecules. Moreover, it supports 3D graphic visualization in the various model for polymers and target-ligand interactions of complex structures. The web interface of PDBms is designed using NGL Viewer/WebGL JavaScript package and programming languages such as PHP, HTML, CSS, JavaScript, AJAX, and jQuery. PDBms is freely accessible at https://www.biogem.org/tool/pdbms/. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive step-by-step process for customizing the Koha Online Public Access Catalogue (OPAC) at GITAM Institute of Medical Sciences and Research, GITAM University, Visakhapatnam. The primary objective is to demonstrate the customization stages of the Koha OPAC, offering library professionals an opportunity to leverage its full potential. The key highlights include implementing "Koha New Arrivals 3D Cover flow Display on OPAC without Carousel Plug-in (without a server using)" and integrating Library Statistics within the OPAC. Methodology: An experimental research approach was adopted to personalize the OPAC. The customization involved the utilization of HTML, CSS, and Java code to modify OPAC's front end, ensuring a tailored experience for users. Findings: The Koha OPAC comprises six distinct sections: Header, Left (Upper & Bottom) Navigation, Main User Block (located at the centre of the OPAC for displaying content), Right Navigation, and Footer. The technology employed in the customization process is highly interactive, thereby allowing library professionals to customize the OPAC according to their needs, with the potential to explore advanced programming concepts. Originality: This study's original contribution lies in empowering library professionals with the knowledge of new features and functionalities offered by Koha through the customization process. Furthermore, the customized OPAC provides users with a centralized platform to access open-access e-resources and subscribed databases, streamlining their research process and eliminating the need to remember specific URLs for various resources. Users can quickly search and access relevant resources with a single click, saving valuable time and effort. [ABSTRACT FROM AUTHOR]

The Chinhoyi University of Technology (CUT) is an institution of higher learning that creates records on a daily basis that eventually need to be archived. After investigating the process from the creation of records to their destruction, a gap in the process became evident. Due to that gap, this research investigates the lack of integration between the administration systems and the manual archiving system that causes large amounts of paperwork and records loss. Some systems were investigated show of how advanced records management systems are currently and how they handle the archiving of records. In order to create an electronic record system that ensures communication between the related records within the institution, increase security of the records and improve response time between the transfers of records, this paper utilizes design science methodology for investigation, and Django, SQLite, HTML and CSS for the software solution. The results enjoy the benefit of a functional automated system but suffers the limitation of scalability as it is a prototype with future upgrades yet to be implemented. The limitation is outweighed by the demonstration of integration between the different record keeping departments increasing efficiency in record keeping and archiving. The system design of the proposed integrated system is illustrated in this paper showing data flow diagrams, architectural diagrams and flow charts. [ABSTRACT FROM AUTHOR]

Cloud storage services have grown extensively in recent years. For security and privacy purposes, sensitive data need to be outsourced to clouds in encrypted form. Searchable public key encryption (SPKE) enables data ciphertexts to be retrieved by keyword(s) without decryption. Unfortunately, most of the existing SPKE schemes cannot withstand the keyword guessing attack. To combat such attack, public key authenticated encryption with keyword search (PAEKS) was presented. However, the existing PAEKS schemes were proven secure under a designated-targets security model, in which an adversary only can attack a sender and a recipient designated by the challenger. Our cryptanalysis indicates that such a scheme may be insecure against the practical attacks where the adversaries choose their targets by themselves. To fight against adaptively-chosen-targets adversaries, we refine the adversary model for PAEKS by permitting the adversaries to choose their targets adaptively, and then formalize the security definitions under the improved security model. After that, we devise a lightweight PAEKS scheme that avoids the time-consuming bilinear pairing operations and give the security proofs. The comparisons show that it outperforms the existing bilinear pairing-based PAEKS schemes in both the computation and communication performance, and therefore is more suitable for the resource-constrained mobile devices. [ABSTRACT FROM AUTHOR]

In this paper, we propose and study an energy-efficient trajectory optimization scheme for unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks, a single UAV is powered by both solar energy and charging stations (CSs), resulting in sustainable communication services, while avoiding energy outage. In particular, we optimize the trajectory design of UAV by jointly considering the average data rate, the total energy consumption, and the fairness of coverage for the IoT terminals. A dynamic spatial-temporal configuration scheme is operated for terminals working in the discontinuous reception (DRX) mode. The module-free, action-confined on-policy and off-policy reinforcement learning (RL) approaches are proposed and jointly applied to solve the formulated optimization problem in this paper. We evaluate the effectiveness of the proposed strategy by comparing it with other dynamic benchmark algorithms. The extensive simulation results provided in this paper reveal that the proposed scheme outperforms the benchmarks in terms of data transmission, energy efficiency and adaptivity of avoiding battery depletion. By deploying the proposed trajectory scheme, the UAV is able to adapt itself according to the temporal and dynamic conditions of communication networks. [ABSTRACT FROM AUTHOR]

The rapid dissemination of antimicrobial resistance (AMR) has emerged as a serious health problem on an unprecedented global scale. AMR is predicted to kill more than 10 million people annually by 2050 leading to huge economic losses worldwide. Therefore, urgent action is required at the national as well as international levels to avert this looming crisis. Effective surveillance can play an important role in the containment of AMR spread by providing data to help determine AMR hotspots, predict an outbreak, maintain proper stewardship and propose immediate and future plans of action in this respect. Although many existing databases provide genetic and molecular information on AMR in microorganisms, there is no dedicated database of AMR from non-clinical samples. The FEAMR database is a one-of-its-kind database to provide manually collated and curated information on the prevalence of AMR in food and the environment. For designing the FEAMR webpage, Microsoft Visual Studio with HTML, CSS, ASP.NET, Bootstrap for the front-end and C# for the back-end were used. The FEAMR database is a free access resource (https://feamrudbt-amrlab.mu.ac.in/), accepting verified food- and environment-related AMR submissions from across the globe. To the best of our knowledge, it is probably the first database providing AMR-related surveillance data from non-clinical samples. It is designed from the 'One Health Approach' perspective to help in the containment of global AMR spread. Flowsheet of steps for making FEAMR database 1. Research articles relating to Antimicrobial Resistance (AMR) were searched on the internet. 2. Data relating to AMR were retrieved from these articles and stored in an MS-Excel sheet. 3. The web pages of the FEAMR database (DB) were created using Microsoft Visual Studio (MVS) and its various tools. HTML, CSS, ASP.NET and Bootstrap were used for the front end and C# used for the back-end of the website. 4. The DB of FEAMR was created using MS SQL Server which was controlled by SQL Server Management Studio (SSMS). 5. The data from the MS-Excel sheet in step 2 was stored in the SQL server and displayed on the web page using GridView tool of MVS and C#. The database created was then uploaded on the University of Mumbai (UoM) website, where it can be accessed by all users having the link to the DB (https://feamrudbt-amrlab.mu.ac.in/). [ABSTRACT FROM AUTHOR]

Communication between deaf and non-deaf individuals is affected by a language barrier, as the hearing-impaired rely on sign language to communicate. This two-way process requires fluency in language to be effective. In Pakistan, there are approximately 10 million hearing-impaired citizens at present, and a lack of assistive technology hinders this process. This led us to the objective of our study: to develop a web application that allows real-time recognition of Pakistani Sign Language (PSL) letters. The application backend was developed using Python, and the frontend was developed with Cascading Style Sheets (CSS) and Bootstrap libraries. The dataset consisted of static and dynamic gestures of PSL and the study employed deep learning techniques using the Mediapipe library to model two recognition systems. The offline testing accuracy was 2% and 4% higher than previous significant works on static and dynamic PSL recognition respectively. Real-time testing of both models achieved accurate prediction of all 39 letters. • A web-based application for the real-time recognition of Pakistani Sign Language. • Classification is achieved through a deep learning approach. • 99.8% accuracy achieved for static gestures recognition. • 100% accuracy achieved for dynamic gestures recognition. • The usage of the MediaPipe library greatly increases real-time accuracy. [ABSTRACT FROM AUTHOR]