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Mochamad Nashrullah
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IJHCS
ISSN : 26151898     EISSN : 26158159     DOI : https://doi.org/10.31149/ijhcs.v7i1
The International Journal of Human Computing Studies (IJHCS) publishes original research over the whole spectrum of work relevant to the theory and practice of modern interactive systems of the contemporary world. IJHCS accepts papers in forms of original research articles, review articles, book reviews, case reports, and discussions to answer important and interesting questions of the innovative research points.
Articles 5 Documents
Search results for , issue "Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)" : 5 Documents clear
Application of the Multiplicative Method to Eliminate the Singularity in Integrals Oblokulov S; Pardayev M.
International Journal on Human-Computing Studies Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v5i12.5019

Abstract

In such cases it is necessary to construct exact quadratic formulas, as there are some errors in the approximate calculation of specific or non-specific integrals whose first-order derivatives become infinity in a given interval. In this work, the multiplicative method of loss of specificity under the integral of integral or non-specific integrals in which the first-order derivatives become infinity in a given interval is considered.
Features Changes Hemodinamic Liver Easy Preeclampsia Zaripova D.Ya
International Journal on Human-Computing Studies Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v5i12.5023

Abstract

Examine the systemic circulation of the liver and its role in the predicting of preeclampsia. We studied 100 pregnant women with mild preeclampsia (II group), and 50 pregnant women with physiological pregnancy control group (I group), 50 pregnant women with severe PE (III group). Comprehensive ultrasound and Doppler blood flow study was performed, ultrasound scanner Sono-scape SSI 5000 (China model) equipped with Convex probe (3.5 MHz) provided with a pulsed Doppler unit and wave function of the DRC. Examined blood flow in arteries and veins of the liver (liv A, liv V, Col V). Blood flow in the same hepatic portal vein and a tendency towards a certain decrease in pregnant women with PE. LMS and R & D in the hepatic artery, these values were increased by 13.3 and 26.4, respectively, in severe PE. Study features of hepatic arterial blood flow with the emergence of hypertension in pregnancy can be a predictor of the development of PE and its progress with the transition to severe.
University Students' Perception and Use of ChatGPT: Generative Artificial Intelligence (AI) in Higher Education Obenza, Brandon Nacua; Salvahan, Alexa; Rios, Alexandra Nicole; Solo, Althea; Alburo, Rea Ashlee; Gabila, Rey Jose
International Journal on Human-Computing Studies Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v5i12.5033

Abstract

This quantitative study examined how university students perceive and use generative AI technology, specifically ChatGPT, in higher education. The main objective is to explore and describe university students' perception and use of generative AI, particularly ChatGPT, in the context of higher education. A 5-point Likert scale questionnaire was adopted and used in the study. Five hundred students from various universities in Region XI were surveyed using a stratified random sampling technique. Further, the validity and reliability of the scale used in the study were assessed using Cronbach's Alpha and Factor Analysis and demonstrated acceptable construct validity and reliability indices. The findings revealed that university students demonstrated high levels of understanding, knowledge, perception of the advantages and disadvantages, positive attitude, and strong intention to use generative AI technologies in the context of higher education. Moreover, the respondents showed a moderate level of concern about generative AI.
SwiftTrip: Your Smart Travel Companion for Effortless Planning and Memorable Journeys R. Regin; Rajest , S. Suman
International Journal on Human-Computing Studies Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v6i3.5316

Abstract

This paper presents "SwiftTrip," an innovative tool designed to enhance travel planning by integrating location, activity, weather, and packing considerations. As travel becomes increasingly spontaneous, there is a need for comprehensive solutions that cater to dynamic travel environments. "SwiftTrip" addresses this gap by offering detailed vacation itineraries, weather forecasts, and customized packing lists. The system utilizes climate patterns to suggest optimal travel routes and weather-sensitive recommendations for attractions and activities. Advanced algorithms analyze meteorological data to generate personalized packing lists, ensuring travelers are prepared for varying weather conditions. By providing current and forecasted weather data, including temperature, precipitation, and wind speed, "SwiftTrip" aims to make travel planning more informed and enjoyable, ultimately enhancing the travel experience in a rapidly changing environment.
Innovative Principles for Managing the Use of Mobile Software Tools Ilhom Isxokovich Juraev
International Journal on Human-Computing Studies Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v6i3.5347

Abstract

Mobile software tools (MSTs) are increasingly significant in modern life, influencing various sectors such as education, business, healthcare, and entertainment. Effective management of MSTs is crucial for maximizing their benefits while mitigating potential risks. The insurance industry, in particular, has been transformed by the rapid adoption of digital technologies, allowing companies to deliver services through mobile applications and online platforms. Despite the growing trend of online insurance sales, disparities in accessibility and the efficiency of policy acquisition remain prevalent due to the absence of mobile applications in some cases. This chapter delves into strategies for integrating corporate applications, with a focus on architectural methodologies, integration approaches, and systems available for streamlining insurance policy sales.

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