This research was conducted to produce asbestos free automobile disk brake pads using eco- friendly; Fan palm shells materials. The use of asbestos fiber is being avoided due to its carcinogenic nature that might cause health risks. A new brake pad was produced using agro waste materials ( fan palm shells)with thermoset resin as a binder to replace asbestos. Brake pad composites was produced using fan palm particles by varying the particle sizes from 125μm to 710μm. The morphology, physical, mechanical and wear properties of the brake pads were studied........

Keywords: - Composite, Morphology, Brake pads, Fan palm.

[1]. Adewuyi, A.P. and Adegoke, T. (2009), Exploratory Study of Periwinkle Shells as Coarse Aggregates in Concrete Works. Journal of Applied Science Research; 4(12): 1678-1681, 2008 Insinet publication,
[2]. Amaren S.G, Aku S.Y and Yawas D.S (2013); Effect of Peiwinkle Shell Particle Size on Wear Behaviour of Asbestos Free Brake Pad. Elsevier results in Physics 3 (3013) 109 - 114
[3]. Ahmet K. (2012).investigation of using natural zeolite in brake pad. Scientific Research and Essays Vol. 6(23)
[4]. Anderson.A. E. (2018),Friction and Wear of Automotive Brakes, in ASM Handbook, FrictionLubrication and Wear Technology, Volume 18, ASM International, Materials Park, Ohio, pp. 569-577
[5]. Blau.P.J(2014), Compositions, Functions and Testing of Friction Brake Materials and their Additives.Being a report by Oak Ridge National Laboratory for U.S Dept. of Energy.www. Ornl.gov/-
webworks/cppr/y2001/rpt/112956.pdf

The adoption of Learning Management Systems (LMS) in higher education institutions has become increasingly crucial in the wake of digital transformation and the global shift toward online and blended learning. This case study investigates the factors influencing LMS adoption among students and lecturers at the University of Ibadan Distance Learning Centre (UI DLC) in Nigeria. Through a comprehensive survey and path analytical modelling, this research explores the relationships between key variables and LMS adoption, aiming to contribute to a deeper understanding of technology adoption in higher education in the Nigerian context. The findings reveal several significant factors that influence LMS adoption among students and lecturers in Nigerian universities. For students, policy regulation, teacher training, and access to technology emerged as significant predictors of LMS adoption.........

[1]. Al-Azawei, A., Parslow, P., and Lundqvist, K. (2017) Investigating the effect of learning styles in a blended e-learning system: An extension of the technology acceptance model (TAM) Australasian Journal of Educational Technology, 33(2) Retrieved from https://ajet.org.au/index.php/AJET/article/view/2741
[2]. Al-Harbi, K. M. (2016). Exploring factors affecting the adoption of e-learning systems in Saudi Arabian universities. Computers in Human Behavior, 63, 196-205.
[3]. Al-Qahtani, A. A. (2019). Factors affecting the adoption of learning management systems by faculty members at a Saudi university: A mixed-method study. Education and Information Technologies, 24(6), 3579-3595.
[4]. Alqurashi, E. (2016). Predicting student performance by analyzing e-learning interactions. IEEE Access, 4, 7912-7921.
[5]. Cavanaugh, C. (2005). The effectiveness of interactive distance education technologies in K–12 learning: A meta-analysis. International Journal of Educational Telecommunications, 11(1), 33-48.

The adverse impacts of increased noise can range from hearing loss to loss of concentration and increased blood pressure etc. A study is conducted near Vijayawada in Andhra Pradesh to determine the ambient and traffic noise levels. Sampling is carried out for two days at four different locations identified based on locational significance. The noise levels are within the limits in silent and residential areas but exceeding in commercial and industrial areas. Traffic noise is determined at two busy locations representing Industrial and Commercial zones in Vijayawada for two days. Sampling is done on working and non-working days to assess the variation in the noise levels. Approximately 50% reduction of vehicle flow is noticed on non-working days but only a 2dB reduction is noticed. This shows the extent of traffic noise........

Key words: Noise attenuation, absorbing materials, ambient noise, traffic noise.

[1]. Anurag V. Tiwari, Prashant A. Kadu, and Ashish R.Mishra, (2013). "Study of Noise Pollution Due To Railway and Vehicular Traffic at Level Crossing and Its Remedial Measures" American Journal of Engineering Research, 2 (4), pp-16-19.
[2]. B.K. Swain, and ShreerupGoswami. (2013). "Integration and comparison of assessment and modeling of road traffic noise in Baripada town, India", International Journal of Energy and Environment, 4 (2), pp. 303-310.
[3]. CPCB, 2000. Ambient Air Quality Standards in respect of Noise, https://cpcbenvis.nic.in/noisepollution/noise_rules_2000.pdf, As on 25 Sept 2023.
[4]. Debasish Pal, Debasish Bhattacharya. (2012). "Effect of noise pollution on human work efficiency in government offices, private organizations and commercial business centre in Agartala city using fuzzy expert system (A case study)", Hindwai publishing corporation, 2012 (10.1155/2012/828593), pp 1-9.
[5]. Garg S.K. (2014). Sewage Disposal and Air Pollution Engineering, Khanna Publishers, 29th Edition, New Delhi

Background: In machine manufacturing in general, to shape a series of products with the same shape and size in a short time, it brings high productivity and lower product production costs, so the mold still exists and develops further. at this time and in the future. There is also a lot of research to improve the errors of previous molds so that the most optimal mold cannot deny the tireless research of scientists and technicians. Materials and Methods: Scientific experimentation is an important practical research method in which scientists actively influence the subject and the evolution of the event or phenomenon in which the subject participates, to guide its development.........

Key Word: Plasstic injection mold, Core, Cavity, Design, CAD/CAM, CNC.

[1]. Todd, Robert H.; Allen, Dell K.; Alting, Leo (1994). Manufacturing Processes Reference Guide. Industrial Press, Inc.
[2]. "Application Overview: Injection Molding". Yaskawa America, Inc. Archived from the original on 2006-04-12. Retrieved 2009-02-27.
[3]. Malloy, Robert A. (1994). Plastic Part Design for Injection Molding. Munich Vienna New York: Hanser.
[4]. "Design Guide: Injection Molding" (PDF). Xometry. Archived (PDF) from the original on 2018-01-19.
[5]. "Injection Molding Archived 2016-05-08 at the Wayback Machine", Meridian Products Corporation, Retrieved April 26, 2016.

Background: compared to past generations, modern civilization is much more reliant on electronics. This dependence has benefits and drawbacks. Although there are several advantages, one disadvantage being susceptible to rogue software can quickly overshadow them all. One such spyware is a keylogger. Previously, the main focus was merely on recording a user's keystrokes, but today they are renowned for adding a wide range of functionality. Keyloggers are a type of rootkit malware. These keyloggers are used to steal private information secretly, and because they operate entirely in stealth mode, it is difficult to identify them. Keyloggers are used in everything from Microsoft products to the computers and servers used by your workplace. In rare circumstances, your mate may have installed a keylogger on your laptop or phone to support their accusations of adultery..........

Key Word: Keylogger, stealth, Keystroke, System, E-mail.

[1]. Y. Balakrishnan and R. P N, "An analysis on Keylogger Attack and Detection based on Machine Learning," 2023.
[2]. Dave, "How Keyloggers Work and How to Defeat Them", IEEE Access, 2021. [3] https://www.researchgate.net/publication/267777154_Malware_Analysis.
[3]. Rai, S., Choubey, V., Suryansh, & Garg, P. (2022). A Systematic Review of Encryption and Keylogging for Computer System Security. Proceedings - 2022 5th International Conference on Computational Intelligence and Communication Technologies, CCICT 2022, July, 157–163.
[4]. Disha H. Parekh, Nehal Adhvaryu, Vishal Dahiya (2020). Keystroke Logging: Integrating Natural Language Processing Technique to Analyse Log Data. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue- 3, January 2020.
[5]. Mallikarajunan, KME Narasima, et al. "Detection of spyware in software using virtual environment." 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2019.

Metal matrix composites combine the desirable properties of the constituent materials to enhance physical, thermal and mechanical properties and thus find application in almost all industries. In the current work, an Al – Si alloy was reinforced with 5.0 wt % RHA an agricultural waste derivative and 5.0wt % Al2O3 a ceramic to develop a hybrid composite. RHA was used in attempt to improve mechanical properties, reduce cost and enhance environmental sustainability. Cast composite samples were subjected to T6 heat treatment which involved solution heat treatment at 530OC, quenching in water at room temperature and ageing at 175OC for 5hours. Scanning electron microscopy (SEM), Electron dispersion spectroscopy..........

Key Word: Physical properties, Thermal properties, Mechanical properties, Metal matrix composites, Scanning electron microscopy, Electron dispersion microscopy, X- ray diffraction.

[1]. Aigbodion, V.S. Hassan S.B Dauda .T (2010). The development of mathematical model for the prediction of ageing behavior of Al-Cu-Mg/Bagasse ash particulate composites. Journal of Tribology in Industry. 9(10)). 28 – 33.
[2]. Ahamed, A.A., Ahmed, R., Hossain, M.B & Billah, M (2016): Fabrication and characterization of aluminium – rice husk ash composite prepared by stir casting. Rajshabi university journal of science and engineering. Vol. 44. 9 -18.
[3]. Alaneme. K. K. & Aluko A. O. (2012). Production and age hardening behavior of bora premixed SIC reinforced AIMgSi alloy composite development by double Stir casting technique. West India Journal of Engineering. 34(1-2), 80-85.
[4]. Alaneme, K.K & Sanusi, K.O (2015): Microstructural characteristics, mechanical and wear behaviour of aluminium hybrid composites reinforced with alumina, rice husk ash and graphite. Engineering Science and Technology, an international journal. 18(3). 416 - 422.
[5]. Alaneme, K. K. Akintunde, I. B. Olubambi, P. A. Adewale, T. M. (2013). Fabrication characteristics and mechanical behaviour of rice husk ash-alumina reinforced Al-Mg-Si alloy matrix hybrid composite. Journal of material Research and technology. 2(1), 60-67.

The summary covers inspection, assessment and recommendations of repair and strengthening works for bridge no. 45 on N2 Road, Pristina - Blace section. Load capacity calculations have been carried out based on the results from Study and Detailed Inspection and have shown that the capacity is insufficient. Special load capacity assessment has been carried out considering loads representing the present traffic. Results have shown that no traffic restrictions need to be established. The findings of this detailed inspection are that the condition is not good due to poor execution of works and lack of routine maintenance.

Key Word: Bearing Capacity, Buildings, Structures & Design, Columns.

[1]. Ministry of Infrastructure of the Republic of Kosovo. (2008). Department for Projects
[2]. Ministry of Infrastructure of the Republic of Kosovo. (2008). Department for execution.
[3]. Čolić P, Ristovski A. (2016), Reinforced concrete bridges - page 21 – 25
[4]. Mazić; B. , Lovric I., Roads (2010). Book, page 252 - 256
[5]. Mazić; B. , Lovric I., Roads (2010). Book, page 256 – 260.

In today's competitive job market, 76% percent of hiring managers admit recruiting the right candidates for a particular job role is their greatest challenge thus making it a growing area of study and research. This research conducts a bibliometric analysis spanning 2010 to 2024 through extensive literature analysis to explore trends in student placement recommendation systems. In the process, contribution of countries, keyword distributions, research themes, and relationships between scholarly works are visualized. The analysis reveals significant growth in research output, with keywords such as "education", "students" and "recommender systems" prominently featured.

Key Word: Recommendation Systems, Education, Students, Placements, Jobs, Bibliometric Analysis.

[1]. Smith, J. (2017). Understanding student placement decisions: A critical review of the literature. Journal of Student Placement, 12(2), 87-104.
[2]. Sutton, A., Gellar, E. S., &Sonnenalp, N. (2019). Machine learn- ing algorithms for student placement: A comparative analysis. Journal of Educational Data Mining, 11(2), 45-63.
[3]. García-Martínez, D., González, M. A., & Pérez-Miguel, M. (2021). A survey on educational recommender systems: Charac- teristics, evaluation methodologies, and challenges. Expert Sys- tems with Applications, 165, 113872.
[4]. Hart, J., Bakdash, J. Z., & Barnes, T. (2020). Toward personal- ized learning: A review of recent educational recommender sys- tems research. Journal of Educational Computing Research, 58(4), 1003-1029.
[5]. Huang, Y. H., Huang, T. C., & Huang, Y. M. (2018). Developing a recommendation system for improving learning achievements in web-based learning environments. Computers & Education, 117, 29-42.

This research presents a comprehensive approach to assessing and monitoring students' mental health through the fusion of multimodal educational data. The system integrates diverse data streams, including academic performance metrics, behavioral patterns, and physiological indicators, to create a holistic model for mental health detection. Leveraging machine learning techniques, such as ensemble methods and deep learning architectures, the system analyzes this multimodal dataset to identify patterns indicative of various mental health states, including stress, anxiety, and depression. This research contributes to the advancement of student support systems in educational settings, fostering a holistic approach to mental health that considers academic, behavioral, and physiological dimensions. The proposed system represents a promising step toward creating supportive and conducive learning environments that prioritize the well-being of students.

Key Word: Dataset, Machine Learning, Depression detection, Medical.

[1]. F. Hao, G. Pang, Y. Wu, Z. Pi, L. Xia, and G. Min, "Providing appropriate social support to prevention of depression for highly anxious sufferers," IEEE Trans. Comput. Social Syst., vol. 6, no. 5, pp. 879– 887, Oct. 2019.
[2]. S. Pappa, V. Ntella, T. Giannakas, V. G. Giannakoulis, E. Papoutsi, and P. Katsaounou, "Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta- analysis," Brain, Behav., Immunity, vol. 88, pp. 901–907, Aug. 2020.
[3]. T. Anwar, K. Liao, A. Goyal, T. Sellis, A. S. M. Kayes, and H. Shen, "Inferring location types with geo-social-temporal pattern mining," IEEE Access, vol. 8, pp. 154789–154799, 2020
[4]. G. Shen et al., "Depression detection via harvesting social media: A multimodal dictionary learning solution," in Proc. 27th Int. Joint Conf. Artif. Intell., Aug. 2017, pp. 3838–3844.
[5]. T. Shen et al., "Cross-domain depression detection via har16vesting social media," in Proc. 27th Int. Joint Conf. Artif. Intell., Jul. 2018, pp. 1611–1617.

User experience (UX) is critical in product design due to it helps to strike a fine balance between utility and aesthetics. While traditional design techniques focus functional objectives, including UX, viewpoints may dramatically increase overall user happiness. By actively engaging users throughout the design and development phases, designers can acquire invaluable insights that are instrumental in crafting premium- quality products tailored to user preferences. Finally, success in product design requires a user-centric approach that considers both utility and aesthetics. This paper discusses the importance of user experience in product design, including both aesthetic and practical components. It investigates the basic mechanisms and repeating patterns linked with different forms of emotional experiences............

Key Word: User Experience, UX, Product Design, Aesthetics, functionality of products.

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