TULTECH Journals
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Exploring Phosphate Sorption on Thermally Modified Kaolinite
No full textThe aim of this study is to investigate the capability and mechanism of phosphorus adsorption present in water through thermally treated kaolin. For this purpose, batch experiments are conducted to treat synthetic water samples with phosphate content using kaolin sourced from the northern region of Albania. The kinetics and mechanism of adsorption are examined. Experimental results indicated that a contact time of 3 hours achieves adsorption equilibrium, with the pseudo second-order model providing the best fit. Both Langmuir and Freundlich models describe the adsorption process, suggesting a combination of monolayer and multilayer adsorption. Furthermore, kaolin pre-treatment temperatures up to 500°C have minimal effect on adsorption capacity, apparently attributed to dehydration of bound water and densification of the clay structure
The Influence of Clay Soil Stabilization Using Nickel Slag on Unsoaked CBR Values
No full textThe subgrade soil is the most critical layer in road pavement structures, serving as the foundation supporting traffic loads. The strength of this subgrade also influences the required thickness of the pavement layers. In many road construction projects, the subgrade soil often exhibits a California Bearing Ratio (CBR) of less than 5%, indicating low bearing capacity and high swelling potential, necessitating soil stabilization. Nickel slag, a by-product of ferronickel smelting, contains high levels of silicate and lime, making it a suitable additive for soil stabilization. This study investigates the effect of nickel slag on soil characteristics by utilizing four different variations of slag content: 0%, 15%, 30%, and 45%, based on the dry weight of the soil. The soil samples were cured for 0, 3, and 7 days and subjected to liquid limit, plastic limit, and unsoaked CBR testing. According to the Unified Soil Classification System (USCS), the soil was classified as organic clay with medium to high plasticity (OH). The test results revealed that the unsoaked CBR value of the untreated soil was 2.9%. Upon stabilization, the maximum unsoaked CBR value increased to 22.65% with the addition of 45% nickel slag. Furthermore, the soil\u27s plasticity index decreased from 18.25% to 8.64%, significantly reducing the soil\u27s shrinkage potential. Nickel slag has proven to be an effective additive for enhancing subgrade soil properties, improving its bearing capacity, and reducing plasticity, making it a viable option for road pavement stabilization
Assessing Strategic Agricultural Policies for Sustainable Development in Iran: A Retrospective and Delphi-Based Evaluation on Progress in Economic, Social, and Environmental Dimensions
No full textSustainable development in agriculture requires strategies that align with economic, social, and political priorities while also adhering to global standards such as the Sustainable Development Goals (SDGs). This study employs a retrospective approach and the Delphi method to assess strategic agricultural policies in Iran as a developing country, evaluating past policy effectiveness and proposing future directions. A combination of library surveys and expert opinions reveals that, in the short term, prioritizing cultural programs for food security and comprehensive free-market agriculture hold the highest significance. In the mid-term, initiatives such as knowledge-based agriculture (political), village-based entrepreneurial efforts, and industrial agricultural research (economic) emerge as critical areas of focus. Long-term strategies emphasize justice-oriented progress, effective water resource management, and transformational industries. The study\u27s findings contribute to developing standards and metrics by which agricultural policies can be assessed for sustainable efficiency, performance, and progress
Continuous Deployment in Action: Developing a Cloud-Based Image Matching Game
No full textThis project aims to develop an interactive image-matching card game leveraging HTML, JavaScript, and CSS, with a focus on deploying and hosting the game on a cloud computing platform. The game will be designed to enhance users’ cognitive skills and entertainment experience through challenging memory exercises and engaging visuals. The development process involves creating a user-friendly interface using HTML for the structure, JavaScript for the game logic and interactivity, and CSS for styling and visual enhancements. Furthermore, the project will explore the integration of cloud computing technologies for hosting and deploying the game. This includes utilizing cloud storage solutions for storing game assets and user data, as well as deploying the game application on a cloud server for accessibility and scalability. By leveraging cloud computing infrastructure, the game will benefit from improved reliability, scalability, and accessibility, allowing users to access the game seamlessly from anywhere with an internet connection. Moreover, cloud-based deployment will facilitate easier updates and maintenance of the game, ensuring a smooth and uninterrupted gaming experience for players. Overall, the development of this image-matching card game demonstrates the potential of cloud computing in enhancing the accessibility, scalability, and performance of web-based applications, while also providing an entertaining and educational experience for users
Motivational Electronic Waste Management System in CXI, Technical University of Liberec
No full textThe growing amount of e-waste has become a major problem, especially in industrialized areas like the Czech Republic, where 15.7 kg of e-waste was produced annually per person in 2019. This study responds by offering a motivating e-waste management program targeted at the Technical University of Liberec (TUL), the CXI, and the surrounding area. The program predicts significant economic gains through the use of metal recovery techniques, particularly electrolysis: roughly 165,000 CZK per year at CXI, more than 5 million CZK at TUL, 85 million CZK in Liberec, and up to 8.6 billion CZK nationwide. These figures take into account the profits from metal recovery, and they might be improved even more by include the costs of trash management services. The suggested approach, which offers a range of incentives to employees and community members, has the potential to create a circular economy, increase financial returns, and promote environmental sustainability. In order to increase exposure and awareness, the initiative also involves local schools and integrates public participation. The goal of this community driven strategy is to establish TUL as a leader in environmentally friendly operations
Green Branding of Czech-Poland Merchandise through Hydrogen Energy: A Study for Sustainable Production and Market Differentiation
No full textThrough this research strategies for sustainable production and market differentiation are studied and explored. By tapping into the potential of hydrogen, businesses can minimize environmental impact and carve a distinct identity in the market, cultivating a reputation for sustainability. This research aims to uncover how embracing hydrogen as a clean energy source can benefit businesses and contribute to broader environmental responsibility goals. Exploring successful green branding examples and consumer responses, insights are provided to enable businesses to implement green branding initiatives effectively, driving both ecological and economic sustainability in the CzechPoland region. In the final stage of this research, three mathematical-conceptual models are developed for the implementation of green marketing in hydrogen energy production in both the Czech Republic and Poland regions, covering eco-friendly products and services, environmental responsibility, and corporate social responsibility (CSR)
Modelling Dispersion Coefficient in Meandering Channels by Use of Dimensional Analysis
No full textDispersion is the major means of determining pollutant transport in water bodies. Its effect is usually measured by dispersion coefficient, D, determined through tracer studies- a process that is cumbersome, time consuming and expensive. The parameter, D, is a most basic factor of measurement in hydraulic modeling of pollutants in rivers and its accuracy is important to measure the characteristic behavior of pollutants and preserve surface water quality. To circumvent the challenges of tracer studies, many researchers have used the geometric and hydraulic parameters of the river without considering the effect of meandering which is fundamental in river morphology. The aim of this research is to develop a robust dispersion coefficient model that accounts for the effect of bends in order to improve accuracy of the phenomenon. To do this, two out-door laboratory channels of 2 and 3 meanders respectively were constructed. Channel floor was covered with a layer of river sand and allowed to grow grass to perfectly mimick natural stream conditions. Tracer experiments were conducted on both channels at different velocities to obtain data for measured dispersion coefficient determined by Levenspiel and Smith method. Dimensional analysis was used to relate all the geometric and hydraulic parameters of the channels and MATLAB was used for calibration. Two models that include two new parameters namely, number of meanders (N) and ratio of radius of curvature to hydraulic radius ((R_c⁄R_h ) were developed, one for each of the channels. Predicted results by both models were compared with the measured and with those obtained from some existing models. Statistical measures of accuracy namely, RMSE; MAE; DR and percentage error, showed that the new models performed better. The improvement in the new models is result of inclusion of the two new terms that reflect bend characteristics. The implication is that incorporating parameters of bend geometry in dispersion coefficient models improves their accuracy in determining the phenomenon in meandering channels. In conclusion, it is now known that bend parameters increase accuracy of D. New models to be used in determining dispersion coefficient in meandering channels have been developed, implying that a reliable and more accurate prediction of the dispersive ability of channels with bends is now possible. This will ensure better and reliable designs of treatment plants, better water resources management and pollution control that will improve surface water quality in compliance with United Nations development goals for clean water and sanitation for all, and preserve aquatic communities throughout the river reach
Machine Learning-Based College Admission Predictor: A Telegram Bot for Indian Engineering Colleges
No full textThis study addresses the challenge of accurately predicting college admissions in India, where students often struggle to identify suitable colleges based on their entrance exam scores. The research explores the development of a College Predictor Bot that leverages key factors, specifically JEE and CET scores, to estimate the likelihood of admission to various Indian colleges. The model is trained on historical admissions data from multiple institutions, encompassing a wide range of student profiles and performance levels. Methodologically, the study employs machine learning algorithms, including random forest and decision tree models, to analyze the entrance exam scores and generate predictions. The model’s accuracy is evaluated through rigorous statistical analysis, with significant correlations observed between entrance exam scores and admission outcomes. The findings indicate that the College Predictor Bot can effectively predict admissions, providing students with valuable insights into their college options. The broader implications suggest that this tool could simplify the college selection process, offering a more transparent and informed approach to admissions in the Indian education system
Implications of Integrated Community-Oriented Approaches for Schizophrenia Treatment
No full textSchizophrenia is a neurodegenerative disorder that affects approximately 1 in 300 individuals worldwide. Although its exact cause remains unclear, genetic factors have been identified as a partial contributor. Additionally, many patients with schizophrenia exhibit an imbalance between the neurotransmitter’s dopamine and serotonin. The complex nature of schizophrenia raises critical questions about its causes, symptoms, and treatment options. These uncertainties are compounded by ethical concerns surrounding the capacity for decision-making and voluntary consent among patients. The principles of autonomy, beneficence, and non-maleficence are central to determining appropriate treatment strategies for individuals with schizophrenia. Electroconvulsive therapy (ECT), or "shock therapy," has been considered for patients with severe symptoms, though its potential benefits are often outweighed by risks, including significant memory loss in 40-60% of cases. Antipsychotic medications are more commonly used and can be effective, but questions arise about the ability of patients to consent to these treatments during acute episodes. This paper explores the most effective medical interventions for schizophrenia, with a focus on preserving patient autonomy, enabling informed consent, and supporting community integration
Productivity Analysis in a Garment Company Located in Albania
No full textProductivity is considered as the most important key for a company to have success and remain competitive in the market. It is also one of the most important indicators to find the points where a company should intervene for improvements to reach the final product. This paper presents a concrete analysis of productivity for a garment company in Albania, which produces workwear. The paper includes a 10-day study in the production line of workwear, and it analyses reasons for low productivity. Considering the level of productivity for every day of the study, we have given some recommendations to improve productivit