ajsts: A Pathfinder

This is a computer-generated pathfinder created against the Distant Reader study called ajsts.

Each Distant Reader study carrel is composed of many individual items. Each item is bibliographically described with author, title, date, summary, and keyword values. Below is a list of the items' most signficant keywords as well as lists of the items themselves. Purpusing the content of this pathfinder provides the student, researcher, or scholar with one way to get their heads around the scope of the carrel. The keywords include:

Learning; Time; Systems; Education; Model; Students; Technology; Technologies; Efficiency; Intelligence; System; Analysis; Soil; Temperature; Algorithm; Cycles; Conductivity; Aliases

Depending on how this pathfinder was created, many of the bibliographic sections will include elaborations on the meaning(s) of the given keywords. These elaborations were generated by feeding the items' summaries to a large langauge model and asking the model to address the question, "What is X?", where "X" is the keyword. The result will be a few sentences of elaboration. Be forewarned. The elaborations are often plausible, but they should not be take as truth. Instead, they should be taken as points for consideration.

• University 4.0: Digital Transformation of Higher Education Evolution and Stakes in Morocco by Tamer, Hind; Knidiri, Zakaria (2023) - Central to this change is the development of digital universities. according to Lapteva, and Efimov, (2016), the trend of university education in Industry 4.0 is moving towards the innovative research-based university. Keywords: development; digital; education; https://journals.e-palli.com/home/index.php/ajsts; learning; new; research; teaching; technologies; technology; transformation; universities; university; world
• Interactive Learning in Afghanistan: Feasibility of Implementing IoT Connected Devices in Classrooms by Hasas, Ansarullah; Sadaat, Sayed Najmuddin; Hakimi, Musawer; Quchi, Mohammad Mustafa (2024) - To Investigate the feasibility of integrating IoT- connected devices in Afghanistan educational institutions, considering infrastructure, technical capabilities, and institutional support. Through structured questionnaires utilizing Likert-scale items, the methodology sought to gauge participants’ perceptions of technological infrastructure, institutional support, and challenges linked to IoT integration. Keywords: afghanistan; challenges; education; integration; internet; iot; learning; participants; research; things
• The Transformative Impact of Cloud Computing on Tertiary Education by Asare, Samuel; Armah, Albert (2024) - What are the main obstacles to, and possibilities presented by integrating cloud computing technology into higher education? This systematic literature review investigates the transformative impact of cloud computing on tertiary education by synthesizing findings from 30 scholarly journals and publications across diverse databases. Keywords: cloud; cloud computing; computing; data; education; institutions; learning; research; security; students
• Freshmen’s Technological Expertise and Distance Learning Readiness: A Convergent Parallel Design by Mallari, Jordan B; Lozarita, Ivy T; Caballo, John Harry S; Regidor, Jobert C (2024) - Jain, Sharma, and Joachims (2015) suggest that student learning preferences are complex and influenced by the context of various objects and human interactions in their environment. This paper aims to help higher education institutions assess student readiness in the online learning environment by considering technological factors. Keywords: computer; distance; distance learning; education; expertise; freshmen; learning; level; online; readiness; skills; students; study; technology
• Computer Self-Efficacy and Effectiveness of Quipper Learning Management System by Alayacyac, Jude Rafael S; Regidor, Jobert C; Caballo, John Harry S; Abellanosa, Jelly E; Monaghan, Giebe Joshua G (2024) - Pa ge 1 Pa ge 17 American Journal of Smart Technology and Solutions (AJSTS) Computer Self-Efficacy and Effectiveness of Quipper Learning Management System Jude Rafael S. Alayacyac1, Jobert C. Regidor1, John Harry S. Caballo1*, Jelly E. Abellanosa1, Giebe Joshua G. Monajan1 Volume 3 Issue 1, Year 2024 ISSN: 2837-0295 (Online) DOI: https://doi.org/10.54536/ajsts.v3i1.2428 https://journals.e-palli.com/home/index.php/ajsts Article Information ABSTRACT Received: January 20, 2024 Accepted: March 04, 2024 Published: March 07, 2024 This quantitative study aimed to determine the relationship between computer self- efficacy and the effectiveness of the Quipper learning management system among senior high school students. University Students’ Perception on the Usefulness of Learning Management System Features Table 3: Significant Relationship between Computer Self-Efficacy and Quipper Learning Management System Variables r – value p-value Computer Self-Efficacy .414 .000 Effectiveness of Quipper Learning Management System CONCLUSION This study found that senior high school students in a non-sectarian private institution have a generally good level of computer self-efficacy. Keywords: computer; effectiveness; efficacy; learning; management; quipper; self; students; system
• Addressing Class Imbalance in IoT: A Comparative Analysis of Resampling Techniques by Qawqzeha, Yousef (2025) - Class imbalance has been a significant challenge in machine learning applications, particularly when working with substantially disparate distributions like those found in Internet of Things datasets. However, class imbalance in the datasets has been one of the main obstacles to fully utilising the potential of IoT data. Keywords: analysis; class; class imbalance; classification; datasets; imbalance; iot; learning; model; performance; resampling; study; techniques
• AI-Powered Cybersecurity: Revolutionizing Business Threat Detection and Response by Khan, Prottoy; Islam, Md Zahirul; Hossain, Sazib (2025) - These advancements make the future of Artificial Intelligence in cybersecurity as a games changer for the modern firms by offering improved solution for security threats, quick response to threats and proactively protecting firms from sophisticated cyber threats. Despite these scores as appearing quite marginal, these findings stand testament that Random Forest remains the best AI model for cybersecurity threat detection due to the flexibility it provides to developers; the enhancement it brings in threat categorization; and the resilience it offers in threat analysis. Keywords: attacks; cybersecurity; data; detection; intelligence; learning; machine; model; network; response; security; solutions; systems; threats; time
• AI-Driven Real-Time Kinematic and Dynamic Analysis of UR5 Robotic Arm for Business Optimization by Dhar, Sudipta Sotra; Dhar, Shovra Sotra; Hossain, Sazib (2025) - However, the real-time analysis of robotic arm like the UR5 has been a somewhat tricky issue in the literature even to date. For the first, it designs real-time AI models of robotic arms and the capability to predict and adjust their next movements based on the received feedback. Keywords: arm; business; joint; kinematic; learning; models; movements; optimization; robot; systems; time
• The Rise of Ai in Academia: Adaptation Strategies for Transforming Higher Education by Khan, Muhammad Ahmed; Jehangir, Muhammad; wang, Xiaohui (2025) - Concerns and Challenges In Adaptation of AI Tools In Higher Education Some of the higher educational institutions and people may have the view that adapting AI tools in education should be resisted (Cukurova et al., 2020). Keywords AI Tools, Artificial Intelligence, Higher Education, Modern Technology 1 College of Computer and Information Engineering, Nanjing Tech University, P. R., China 2 School of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, P. R., China * Corresponding author’s e-mail: Keywords: education; et al; integration; intelligence; learning; students; technologies; tools
• Evaluating Soybean Root Health Using Residual Neural Network (ReNN) Based Image Analysis by Gupta, Vivek; Moolchadani, Jhankar; Chouhan, Harsh Singh (2025) - Methods based on deep learning are very suitable for image segmentation, but image annotation becomes the major limiting factor for applying deep learning in plant phenotyping. 1. Plant images with complex backgrounds require effective segmentation of the foreground and background. Keywords: computer; conference; data; ieee; image; learning; model; networks; plant; recognition; soybean; vision

• Investigation into Optimal Conditions for Enzymatic Hydrolysis of Cassava Starch to Glucose by Amylase from Rice by Olosunde, Adebisi William; Onumadu Kelechi, Selina; Antia, Okon Orua (2023) - The stock solution was then used to prepare glucose concentration of 50 ppm interval up to 300 ppm (Rebecca et al., 2016). These data were used to plot several curves of glucose concentrations produced against reaction times. Keywords: concentration; enzyme; glucose; hydrolysis; reaction; starch; substrate; temperature; time
• Genetic Algorithm of Independent Task Meta-Scheduling Centralized in the Cloud Computing by Fouakeu Tatieze, Stéphane; Kamgang, Jean Claude; Nkenlifack, Marcellin Julius (2023) - Solutions 2(2) 10-20, 2023 length to as a high-priority load parameter, which reflects the average number of processes running in the queue within the specified time interval; Second, select the CPU utilization and memory utilization as a priority load parameters, which reflects the currently running task size of system resources; experimental results demonstrate that the pro- posed algorithm can effectively improve the throughput of cloud computing systems, and can significantly reduce the execution time of task scheduling. Task scheduling plays a key role to improve flexibility and reliability of systems in cloud. Keywords: algorithm; cloud; cloud computing; computing; crossover; execution; machines; resources; scheduling; solution; task scheduling; tasks; time
• Optimising Customer Service Delivery and Response Time through AI-Enhanced Chatbots in Facilities Management-A Mixed-Methods Research by Alhammadi, Mai (2023) - A data-driven design framework for customer service chatbot. The appropriation of conversational AI in the workplace: A taxonomy of AI chatbot users. Keywords: chatbots; customer; customer service; delivery; facilities; facilities management; management; research; response; service; time; use
• AI-Powered Automation in Business Operations for the Future by Islam, Md Zahirul; Khan, Prottoy; Hossain, Sazib (2025) - This paper proves that AI automation helps in enhancing all the time prediction processes and also cooperates with the decision-making process by eradicating operations and decreasing the odds in the course of error. According to Brynjolfsson and McAfee (2014), AI automation transformed the strategies of myriad businesses making it possible for companies to achieve higher efficiency that was earlier unimaginable and opening new opportunities for companies to expand. Keywords: automation; business; data; decision; intelligence; making; model; performance; process; robot; rpa; tasks; time; use
• Optimizing Screen Time Management for Children’s Devices: Leveraging Token Bucket and Time-Based Algorithms in a Famie Parental Control System by Vivares, Pretzil Joy S.; Panilaga, Regine Karla J.; Magallamento, Alic Jhos L.; Paculdo, Abejah S.; Ronquillo, Charisse S. (2025) - Optimizing Screen Time Management for Children’s Devices: Leveraging Token Bucket and Time-Based Algorithms in a Famie Parental Control System Pretzil Technol. Solutions 4(2) 20-31, 2025 Within the System Design phase, the architecture of the Famie Parental Control System is developed to optimize screen time management for children’s devices using token bucket and time-based algorithms. Keywords: bucket; children; control; famie; interface; parents; screen; screen time; system; time
• Adopting Lessons Learned from Global Advanced Manufacturing Practices by Mondi, Yasin (2025) - Manufacturing technology generates complex assemblies that traditional production methods cannot replicate because of their existing manufacturing constraints. The adoption of advanced manufacturing technology receives support from academia-Industry-Government collaborations which enable knowledge transfer and drive innovation for developing appropriate policies to establish a favorable manufacturing environment (Shaheer, 2024). Keywords: additive; adoption; automation; data; et al; implementation; industry; manufacturing; production; research; smart; study; systems; technologies; technology; time
• R-Shiny Web Application Development for Multilayer Perceptron State Switching Model for Predicting Regimes of Time Series Returns by Adejumo, Oluwasegun Agbailu; Asemota, Omorogbe Joseph; Olanrewaju, Samuel Olayemi (2025) - For policymakers in Nigeria and other emerging economies, the ability to identify and forecast financial regimes in exchange rate markets provides a valuable tool for anticipating volatility and implementing timely interventions. The two-stage estimation approach assumes that regime structure lies entirely in residual dynamics, which may overlook deeper joint interactions. Keywords: app; figure; mlpssm; model; regime; returns; series; state; switching; tab; time

• Harmonizing Artificial Intelligence with Islamic Values - A Thoughtful Analysis of Religious, Social, and Economic Impacts of Technological Advancements by Hemmet, Abdullah (2023) - The certification processes, standards and codes of conduct should be ensured by the users and developers of AI systems (Dignum, 2018). The meaningful human control of AI algorithms is important to deal with the ethical, legal, organizational, technical and societal issues to enhance the moral values of AI systems (Santoni de Sio & Mecacci, 2021). Keywords: challenges; data; development; economic; et al; finance; holy; human; intelligence; islamic; participant; potential; principles; qur’an; research; shariah; systems
• Role of Autonomous Systems in Overcoming Maritime Communication Bottlenecks through Quantum Computing and 6G Technologies by Ogundare, Tunde Olamide; Anyebe, Abraham Peter; Alao, Folami Ola-Oluwa; Idoko, Idoko Peter; Odeh, Idoko Innocent (2025) - Given the groundbreaking possibilities of quantum computing, in settings it is essential to address technical obstacles such, as quantum decoherence, infrastructure advancement and security issues in order to seamlessly incorporate quantum communication systems effectively. Table 1 presents a range of technologies and their functions, in communication systems and autonomous operations along with examples. Keywords: challenges; communication; computing; data; generation; maritime; navigation; networks; operations; quantum; quantum computing; security; ships; systems; technologies; technology
• Precision Agriculture through Remote Sensing and GIS: Advancing Sustainable Farming and Climate Resilience by Haque, Shahed Jahidul; Hossain, Sazib; Billah, Muhammad Maruf (2025) - The research findings prove that agricultural systems require immediate adaptation strategies to increase their resistance against climate- related catastrophic events. Application of GIS technologies serves dual purposes for spatial data analysis and mapping which reveal dangerous spots and sustainable farming potential areas. Keywords: agricultural; analysis; bangladesh; climate; data; gis; precision; research; sensing; soil; systems; technology
• Smart Transportation Systems with Artificial Intelligence: Enhancing Efficiency, Safety, and Sustainability by Sheikh, Abdullah; Sheikh, Md. Shakil; Rinvee, Tajbiha Mehonaj (2025) - Analyzing real-time traffic data, AI systems adjust signal timing, redirect vehicles, and predict traffic congestion before it occurs. In the second section, the literature on AI applications in intelligent transport is reviewed, and both progress and current gaps are highlighted. Keywords: efficiency; framework; safety; smart; sustainability; systems; transportation
• New Obstacles to Smart City Cybersecurity by Adullah Alsaeed (2022) - Such attacks may defeat Bad Data Detection (BDD) techniques and modify the state estimate.(Moslemi et al., 2017) presented an example of a decentralized method for discovering smart city attacks based on ML estimates. Cyber- security problems in smart grid cyber attacks detecting methods and modelling attack scenarios on electric power systems. Keywords: assaults; attacks; city; cyber; data; detection; et al; fdi; method; power; smart; systems

• The Nexus between Cognitive Absorption and AI Literacy of College Students as Moderated by Sex by Obenza, Brandon Nacua; Go, Liam E; Francisco, Jofrance Ardrian M; Buit, Evann Ernest T; Mariano, Frande Vier B; Cuizon Jr, Henry L; Cagabhion, Alliah Jane D; Agbulos, Karl Axl James L. (2024) - Pa ge 1 Pa ge 32 American Journal of Smart Technology and Solutions (AJSTS) The Nexus between Cognitive Absorption and AI Literacy of College Students as Moderated by Sex Brandon Nacua Obenza1*, Liam E. Go1, Jofrance Ardrian M. Francisco1, Evann Ernest T. Buit1, Frande Vier B. Mariano1, Henry L. Cuizon Jr1, Alliah Jane D. Cagabhion1, Karl Axl James L. Agbulos1 Volume 3 Issue 1, Year 2024 ISSN: 2837-0295 (Online) DOI: https://doi.org/10.54536/ajsts.v3i1.2603 https://journals.e-palli.com/home/index.php/ajsts Article Information ABSTRACT Received: February 20, 2024 Accepted: March 25, 2024 Published: March 29, 2024 This study examines how Cognitive Absorption and AI Literacy are related among college students, specifically looking at how sex moderates this link. Data was collected through Google Forms utilizing modified questions designed for AI Literacy and cognitive absorption. Keywords: absorption; ai literacy; college; education; literacy; research; sex; students
• The Nexus Between AI Self-Efficacy and Attitude Towards AI of University Students in Davao City as Moderated by Sex by Guipitacio, Jerlan Anthony D.; Aleman, Angelo Vincent B.; Bonsubre, Cleofe Margarette; Galleto, Jessie Mar T.; Tapere, Bruce Nolan B.; Caballo, John Harry; Caangay, Ria Bianca (2025) - TPB implies that if students have AI efficacy and social considerations, they are more likely to use it. The degree of confidence students have in their ability to interact with AI technology is determined by their AI self-efficacy, even though their attitudes toward AI in this context reflect their perceptions generally and their willingness to integrate AI into their learning activities (Chen et al., 2020; Dogan et al., 2023; Gligorea et al., 2023; Zawacki-Richter et al., 2019; Tang et al., 2021; Harry, 2023; Hashim et al., 2022; Keywords: attitudes; education; efficacy; et al; self; students; study

• Determinants of Teff Production in North Showa Zone, Central Highlands of Ethiopia by Zewdu, Tadele Anagaw (2023) - This means producer households had approximately 2 oxen on average and households who did not produce teff were not having ox. Data source and sampling Two-stage probability sampling technique was employed to select the sample of farm households. Keywords: households; level; model; probability; producer; production; teff
• Public Perceptions of Telegram’s Association with Illicit Activities: A Sentiment Analysis Using VADER and Machine Learning by Catayoc, Rabel (2025) - Computational linguists these results emphasize the necessity of building sentiment models sensitive to the nuances of negative expression in public discourse. Consequently, sentiment models should integrate more contextually sophisticated approaches, including neural network-based or transformer models, which are capable of better representing nuanced linguistic features such as irony, sarcasm, implicit negativity, and brevity that characterize authentic digital discourse. Keywords: accuracy; analysis; classification; comments; idf; implications; lexical; metrics; model; performance; platform; precision; public; recall; regression; sentiment; sentiment analysis; telegram; user

• A Comparative Study of On-Campus and Off-Campus Internet Facilities by De La Cruz, Fe Nangcas Jalon; Abillar, Cherlyn Sarguilla (2023) - The inequitable distribution of internet facility connection inside the campus prompted internet cafes to strategically position their sites to cater to students’ research needs (Ani, 2010). Aspects of comparison between the two lenses started with the on-campus followed by the off-campus were presented in terms of; internet connection: dawdling versus fast; Wi-Fi connection: difficult to access versus accessible; network: low versus hassle-free; accessibility: limited versus limitless; adequacy of facility units: discomfort versus comfortable; expert’s and mentor’s guidance: available versus difficult to avail; re- search environment: safe versus unsafe; power supply: sustainable versus susceptible to interruption. Keywords: access; campus; campus internet; connection; facilities; facility; information; internet; library; research; students; study; university; use

• Adoption of E-technology for Agricultural Advancement in Jamalpur, Bangladesh by Ali, Md. Yeakub; Farukh, Murad Ahmed; Islam, Md Azharul; Arafat, Yeasin; Laila, Runa (2025) - Implementing e-technology systems would act as a vital connection for farmers to retrieve extension services together with market information and disaster preparedness resources. This study examines the factors influencing e-technology adoption in Charpara Block, Laxirchar Union, Jamalpur District, through structured interviews with 50 farmers. Keywords: adoption; agriculture; bangladesh; development; digital; farmers; figure; jamalpur; research; rural; services; study; support; technology

• Influence of Information and Communication Technologies (ICT) on the Modernity and Efficiency of Public Services: An Integrative Literature Review by Fagundes, Jorge Martins; Leandro, Ana Cláudia Mendes Coutinho; Lima, Gislene Silva; Nascimento, José Wellgton do; Santos, Lucas Mendonça dos; Moreira, Loide Helena Santos; Ferreira, Noel Leal; Cardoso, Rafael Soares; Lima, Romara Holanda (2025) - While our national data (Souza et al., 2025) confirm this thesis, the international literature (Dečman et al., 2022; Susanti et al., 2023; Verhoef et al., 2021; Akter et al., 2020) offers the theoretical basis to understand that digital transformation only occurs when people, processes, and technology evolve in an integrated way. Neto et al. (2024), when analyzing the payments sector of the Federal University of Amazonas, demonstrate that efficiency gains with automation were only consolidated because there was integration between launch systems and training of servers to operate the new tools. Keywords: data; digital; efficiency; et al; ict; innovation; public; sector; technologies; transformation

• Performance Evaluation of an Engine Operated Weeding Machine by Woyessa, Degefa (2023) - In addition, the labor requirement for weeding depends on the weed flora, weed intensity, weeding time, and soil moisture content at the time of weeding. It was observed that bulk density decreased with an increase in soil moisture content The interactions between these parameters had a direct effect on the performance of weeding efficiency and the power required to operate the machine under field conditions. Keywords: consumption; content; depth; efficiency; field; moisture; moisture content; operation; performance; soil; soil moisture; speed; weeder; weeding
• Parking Occupant Management System Using Qr Code Solutions With Aes Algorithm by Luzuriaga, Albert I.; De Groot , Gawain Destiny A.; Cortez , Jerold E.; Babanto , Nathaniel U.; Ejusa , Meridel C. (2025) - In conclusion, the literature underscores the critical role of QR codes and AES encryption in modernizing parking management systems on university campuses. By leveraging these advanced technologies, the review draws on significant contributions from prior studies to justify their integration into parking systems, highlighting their potential to streamline operations and bolster data security. Keywords: aes; code; data; efficiency; encryption; management; parking; security; smart; solutions; system; user; vehicle
• Impact of Financial Technology (FinTech) on Accounting Efficiency and Supply Chain Performance in Nigeria’s Logistics Sector by Akanbi, Taibat Adenike; Emmanuel, Gbadegesin Adeolu (2025) - The value of electronic financial transactions is used as a proxy of FinTech adoption, financial reporting quality indices as a proxy of accounting efficiency, and composite logistics indicators as a proxy of supply chain performance. Collectively, FinTech and accounting efficiency are key drivers of supply chain performance, indicating responsiveness, cost-effectiveness, and reliability in logistics operations. Keywords: accounting; adoption; chain; efficiency; fintech; logistics; nigeria; performance; run; supply; supply chain

• Artificial Intelligence-Based Cloud Planning and Migration to Cut the Cost of Cloud Sasibhushan Rao Chanthati by Chanthati, Sasibhushan Rao (2024) - Another research done by (Junaid et al., 2021) discovered that AI facilitated systems can reduce cloud migration costs by one-third since it optimizes resource usage and coordinates the movement of data. In this regard, this paper helps to fill the gap that has been demonstrated in the current literature regarding the link between theoretical uses of AI and its application in cloud migration towards enhancing the deployment efficacy and cost-efficiency of cloud services. Keywords: applications; cloud; cloud migration; cloud planning; cost; data; integration; intelligence; migration; objective; planning; process; system; usage

• Alpas: A Solar-Powered Weed Cutter with Obstacle Detection and Bluetooth-Based Smartphone Control for Sustainable Ground Maintenance by Gasoc, Marloun K.; Patunongon, Ronel G.; Gultiano, Helton M.; Davines, Jhul Jhe Necole A.; Bondad, Cristyl Dia B. (2025) - Solar grass cutter using embedded platform experimental validation. Various studies have proven the efficiency of solar cutters, highlighting the advantage of the environment with a very practical means of lowering air and noise pollution, thus enabling users to beautify their grass and conserve their health. Keywords: bluetooth; control; cutter; cutting; energy; grass; journal; research; solar; system; weed

• Load Spectrum Control for Enhanced Fatigue Life of the Transmission Shaft in ZL50 Loaders by Islam, Md. Ariful; Pin, Wanyi (2025) - Transmission shaft loads show significant changes under natural operating conditions since the device confronts different operational conditions. Sensitivity Analysis of Load Magnitudes Experts conducted a parametric examination which evaluated the changes in transmission shaft fatigue life because of different loading parameters. Keywords: analysis; cycles; damage; fatigue; life; load; optimization; research; shaft; spectrum; transmission

• Design and Development of a Tractor-Drawn Cultivator with a Pulverizing Attachment by Wako, Husen Bona; Olaniyan, Adesoji Matthew (2024) - ) DOI: https://doi.org/10.54536/ajsts.v3i2.3337 https://journals.e-palli.com/home/index.php/ajsts Article Information ABSTRACT Received: August 02, 2024 Accepted: August 30, 2024 Published: September 03, 2024 Soil tillage is one of the most critical processes in the agricultural production system, requiring the greatest energy and time of any operation. Soil tillage entails breaking the earth’s compact surface to a particular depth and loosening the soil mass to allow crop roots to penetrate and disseminate into the soil (Zhou et al., 2020). Keywords: cultivator; draft; frame; pulverizing; soil; speed; tillage; tine; tractor; width

• Simulation and Performance Enhancement of Thermal Combustion in a Liquid Fuel Swirl Burner Through Blades Parametric Variation by Akinwonmi, Ademola Samuel; Onadeko, Folajinmi Onikepo (2025) - Technol. Solutions 4(1) 89-97, 2025 Figure 5: Effect of blade angles on output temperature (a) 4 and 6 blades (b) 6 and 8 blades (c) Effect of blade angles (10, 45 and 70 degrees) on output temperature. Technol. Solutions 4(1) 89-97, 2025 Figure 6: Effects of number of blades on temperature performance (a) 4 Blades (b) 6 Blades (c) 8 Blades (d) 10 Blades (e) 12 Blades Figure 7: Effect of blade angle on pressure drop (a) 4 and 6 blades. Keywords: angles; blades; burner; drop; graph; pressure; swirl; temperature

• A Comparative Study of Text-Based Lossless Compression by Maharjan, Shyam; Poudel, Sujan; Tandukar, Dipesh (2024) - On the other hand, lossy data compression permanently removes some data, which is often acceptable for media files like audio, video, and images where minor data loss does not significantly impact the quality. Both of these algorithms are integral to the field of data compression and are known for their efficiency in reducing file sizes without losing any information. Keywords: algorithm; compression; data; huffman; lossless; lzw; ratio

• Research on the Compilation Method of Transmission Shaft Load Spectrum for ZL50 Wheel Loader Used in Mines by Islam, Md. Ariful; Khatun, Mabia; Pin, Wanyi (2025) - A multi-step approach was employed to create synthetic yet representative load profiles, determine load cycles via rainflow analysis, evaluate fatigue damage using Miner’s Rule, and optimize operating load levels to prolong the shaft’s lifespan. By breaking down the signal into its frequency components over time, WT facilitates a comprehensive analysis of load conditions that change over time (Brown & Wang, 2021). Keywords: amplitude; conditions; cycles; damage; data; fatigue; life; load; loader; shaft; spectrum; transmission

• Preparation and Conductivity of Polymer-Modified Graphene Films by Rana, Md Jewel; Hossain, Khan Rajib; Jami, Marzan Mursalin; Shyeed, Md Abu; Hasan, Md Kamrul (2023) - The PEI solution was placed in a three-necked flask, and 100 ml of GO solution (0.5 mg/ml) was added dropwise to the PEI solution via a constant pressure drop funnel while magnetic stirring at 25°C. The Hummers method was used to make graphite oxide, and ultrasonic exfoliation at 25°C and 90°C was used to make graphene oxide (GO). Keywords: conductivity; graphene; oxide; pei; sheet

• Comparative Analysis of Table Aliasing in SQL Queries: Functional and Semantic Implications by Catayoc, Rabel (2025) - DOI: https://doi.org/10.54536/ajsts.v4i1.4332 https://journals.e-palli.com/home/index.php/ajsts Article Information ABSTRACT Received: January 02, 2025 Accepted: February 05, 2025 Published: February 19, 2025 Table aliasing is a widely used technique in SQL queries that enhances readability, scalability, and maintainability, particularly in complex queries involving multiple tables. Table aliases, which serve as shorthand representations for table names within SQL queries, are widely adopted to enhance readability, reduce ambiguity, and simplify query construction, especially when dealing with multiple tables. Keywords: aliases; aliasing; queries; query; sql; table

Epilogue

For more detail, about this study carrel, see the computed home page. For more detail about study carrels in general, see the read me file.

Created: 2025-12-23