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Modelling The Effects Of Antiretroviral Therapy On Kidney Diseases Among Hiv Infected Individuals In Tanzania, Janeth Pancras Mchwampaka, Eunice Mureithi, Nyimvua Shaban Mbare

Tanzania Journal of Science

This study examined the role of highly active antiretroviral therapy (HAART) in the dynamics of kidney diseases among HIV-infected individuals. A deterministic model was formulated for the dynamics of kidney disease in HIV-infected people with HAART as treatment in the model. Numerical simulations showed that though HAART reduces HIV progression to the AIDS stage, there is an increase in HIV-related kidney diseases. Also, the result obtained in this study showed that reducing the effective contact rate of HIV and improving the effectiveness of HAART by 99% in preventing the progression from HIV without symptoms group to HIV-related kidney diseases can …

Geochemical Characterization Of Hydrocarbon Source Rocks In The Jurassic – Cretaceous Ruvu Sub-Basin- Within The Coastal Basin Of Tanzania; Implications For Petroleum Prospecting., Hadija H Maumba, Charles H Kasanzu

Tanzania Journal of Science

In this study, we characterize hydrocarbon source rocks from the Ruvu sub-basin’s Kiwangwa well-1 using organic matter, total organic carbon (TOC), rock-eval pyrolysis and vitrinite reflectance data. Analytical results indicate fair to excellent TOC contents in the sub-basin, a feature suggesting conditions that favor organic matter production and preservation. Kerogen types II to IV are inferred for the Kiwangwa well-1 sediments. Using TOC vs S2 for the Early Jurassic and Triassic of Kiwangwa well -1 at depth intervals, good to very good source rocks are inferred. This suggests high generative organic matter suitable for hydrocarbon production. None generative organic matter …

Assessment Of Reactive Dyeing Of Cotton Using Seawater, Liberato V Haule

Tanzania Journal of Science

This study investigated the effects of auxiliary chemicals on reactive dyeing of cotton fabric using seawater as an alternative to freshwater. The study involved dyeing of 100% cotton fabric with reactive blue 21 using both fresh and seawater. The effects of Na2SO4, NaCl and Na2CO3 auxiliaries were assessed on dye exhaustion, fixation and colour strength. Reactive dyeing using seawater with a pH 9 which contained Na+ (882.4 mg/L), Cl- (938 mg/L), Ca2+ (1200 mg/L), CO3-2(3000 mg/L), Mg2+(1030 mg/L) and alkalinity (4615 mg/L), resulted in exhaustion rate of 54%, colour strength of 0.098 and fixation rate of 44%. While dyeing using …

Optimizing Co2-Expanded Hexane For Enhanced Yield And Antioxidant Activity Of Essential Oils From Citrus Reticulata, Mathayo Gervas Mathias, Idzumi Okajima

Tanzania Journal of Science

Wide range applications of citrus essential oil (EO) and environmental issues resulting from citrus processing industries render in the evolution of extraction techniques. The efficacy of the CO2-expanded hexane (CXH) extraction technique on mandarin orange EO, D-limonene, and total phenolic compounds (TPC) was evaluated and compared with conventional methods; hexane extraction and hydro-distillation. Moreover, the correlation of EO components with antioxidant activity was studied. It was revealed that CXH had better EO and D-limonene yields than conventional methods. The CXH optimal extraction conditions of 25 °C, 6.5 MPa, and 0.70 CO2 mole fraction offered 0.155 g-EO/g-dry peel and 51% D-limonene …

Metagenomic Analysis Of Bacterial Communities In Waters Of Lake Natron, Arusha, Tanzania, Sadikiel E. Kaale, Robert S. Machang’U, Thomas J. Lyimo

Tanzania Journal of Science

Metagenomics involves genetic material extraction and sequencing directly from environmental samples in order to gain insights and relationships that exist between microbes and their surroundings. Few studies have been done in extreme environments including soda lakes such as Lake Natron which is found in Arusha region, Tanzania. This study recorded high pH and salinity values confirming the lake's extremity. Full-length 16S rRNA reads sequenced through PacBio was used to reveal first metagenomic snapshots of bacterial communities from 10 random points at the lake shoreline waters. The results showed the dominance of Proteobacteria and Firmicutes with relative abundances of 98.46% and …

Behavioral Accounting As A Catalyst In The Organizational Transformation Process Toward Sustainability, Ni Wayan Yellow Prinsis Dayani, I Gusti Ayu Nyoman Budiasih

Jurnal Akuntansi dan Keuangan Indonesia

This research investigates the role of behavioral accounting as a catalyst in the organizational transformation process towards sustainability using phenomenological methods. The study aims to explore how behavioral accounting identifies individual behavioral factors, designs efficient sustainability systems, and enhances organizational commitment to sustainable practices. The research employs observation, secondary data analysis, and semi-structured interviews with organizational internal team, analyzed through Interpretative Phenomenological Analysis (IPA). Findings indicate that behavioral accounting contributes to organizational sustainability by enhancing transparency in accounting information, thereby minimizing the risk of fund misuse and ensuring efficient resource allocation. This research supports behavioral accounting as pivotal in shaping …

Catalyzing Meteorological Insights With A Cost-Effective Weather Monitoring System, Ariful Alam, Sidratula Muntaha, Poonam Munshi, Israt Khan, Rakibul Islam, Jamil Bhuian, Md.Yasir Arafat, Md. Ridwanul Hasan

Journal of Environmental Science and Sustainable Development

Undoubtedly, one of the biggest alarming phenomena of this decade is the tremendous fluctuations in the weather and climate. Therefore, different types of surveys, investigations, and research are required in this regard in every region. A low-cost weather monitoring system can be implemented in every educational and research institute to collect and analyze different types of weather-related data. This study establishes the method of developing such a system and analyzing data in a simplified way which the data gathered during thunderstorms and cyclonic activity in Bangladesh. The system was designed with Proteus 8 professional software and developed by using a …

Assessing Potential Energy Sustainability Of Micro-Hydropower System Through A Sustainable Indicator Approach, Icmi Alif Safitri, Muhammad Sulaiman, Rachmawan Budiarto

Journal of Environmental Science and Sustainable Development

The development of micro-scale renewable energy power generation systems, such as micro-hydropower (MHP), often needs more consideration for sustainability during the planning stages. Many small-scale renewable energy systems have shorter-than-expected lifespans, jeopardizing Indonesia's Net Zero Emission Target for 2060 or earlier. Despite this, only some studies have examined the long-term viability of installed renewable energy generation projects, particularly MHP plants not managed by state-owned companies or PLN (Pembangkit Listrik Negara). The primary objectives of this research are to evaluate the feasibility of retrofitting and assess the potential sustainability of a decommissioned MHP in Banjarnegara, Central Java. A cash flow analysis …

Impact Of Urban Development On Uv Exposure: A Clustering And Machine Learning Assessment, Taufik Roni Sahroni Mr., Verdi Yasin, Lulut Alfaris, Reza Ariefka, Ruben Cornelius Siagian, Mohammad Alfin Karim, Nana Rahdiana, Ade Suhara

Journal of Environmental Science and Sustainable Development

The relocation of Indonesia's capital city is anticipated to promote inclusive economic growth while embracing cultural diversity. However, this transition may affect ultraviolet (UV) radiation exposure patterns. The study investigated variations in UV exposure in the IKN region, focusing on urban development factors such as land use and population density that affect public health, sun protection, and skin cancer prevention. The research hypothesized that UV radiation is significantly correlated with these factors. UV Index data from 2010-2023, a hierarchical clustering method, identifies complex data patterns without determining the number of clusters. XGBoost, a machine learning model, was used for handling …

Road Safety Assessment For Accident And Non-Accident Cases Supporting Sustainable Development Goals 2030, Brian Nararya Nugraha, Sekar Warangi Nurcahyati, Hizkia Adhikaratma, Martha Leni Siregar

Journal of Environmental Science and Sustainable Development

Halving the number of global deaths and injuries from road traffic accidents is one target of the Sustainable Development Goals 2030, which is still a challenging problem in Indonesia. However, the majority of research on this topic uses accident-based methods, which limits the safety analysis. Two road safety assessment methods are used to close the gap, with the addition of non-accident-based methods such as Road Safety Audits (RSA). The Margonda Raya Road, which is categorised as a traffic accident blackspot, was selected for the case study. For this, a field survey of the road segment is carried out. To minimise …

Evaluation Of Microbial Contamination In Tube Well And Filter Water Of Lahore And Treatment With Copper Nanoparticles, Khadeeja Moazzam, Sumaira Mazhar

Journal of Bioresource Management

Water contamination is a global issue and different techniques are being devised to reduce water contamination. Among these techniques, use of nanoparticles for water purification is an efficient and cost-effective method with minimum or no side effect. Metal nanoparticles are known for their antibacterial activity against various pathogens. Synthesis of these nanoparticles using green synthesis methods minimizes the harmful effects while ensuring their antibacterial activity. Therefore, in the present work, it was aimed to evaluate the microbial contamination in water samples collected from different tube wells and filter plants located in different areas of Lahore, Pakistan for the isolation of …

Raw Milk Collection Diversity And Determinants Of Physicochemical And Microbiological Quality In Algerian Small Farms, Nasria Benamara, Houari Yerou, Hamza Belkhodja, Toufik Madani

Journal of Bioresource Management

Milk sector in Algeria presents lasting supply instability and its development policy has not achieved the expected results. The interest in developing local dairy production therefore has been a priority for public authorities. Our work aims to analyze raw milk collection diversity at the GIPLAIT dairy in Tizi (Mascara) and assess their physicochemical and microbiological quality. The typology of raw milk collection was determined from upstream, the farm to the dairy processing factory. The quality of the milk was determined by carrying out both physicochemical analyses (pH, Dornic acidity, butter content, protein content, density and total dry extract) and microbiological …

Green Design Of Plant Based Pharmaceutical Drugs: Example Of A Wound Healing Topical Cream With Plectranthus Bojeri (Benth) Hedge Lamiaceae Extract, Helga Rim Farasoa, Marie Louise Razafindravao, Rojo Fanambinantsoa Andriamiarantsoa, Gerard Cecilien Raboanary, Jean Marie Razafindrakoto, Voahangy Ramanandraibe Vestalys

Journal of Bioresource Management

To ensure the perennity of natural resources, the valorisation process of herbal pharmaceuticals must be assessed for sustainability from the very beginning of its design. No specific tools have been developed for this particular field so far. We demonstrate in this study that existing green design tools can be adapted to evaluate plant-based products manufacturing process. As the example of a topical cream using Plectranthus bojeri (Benth) Hedge LAMIACEAE extract was considered, we first confirmed the traditional use of this plant for wound healing. It acts by accelerating the re-epithelialisation phase. Using the Vermeer Cosmolife version 0.24 software tool the …

Exploring Antibiotic Resistance And Exopolysaccharide Production In Bacillus Paramycoides From Wastewater, Zainab Hassan, Nazia Jamil, Rida Batool

Journal of Bioresource Management

Antibiotics have been found extensively in the environment, particularly in groundwater, sediments, and surface water. The purpose of this study was to isolate and identify antibiotic-resistant bacteria from wastewater collected from sewage (Sher Shah Colony, Raiwind) and an industrial area (Hudiara Drain Gajju Matta) in Lahore. Ten bacterial strains (Z1, Z2, Z3, Z4, Z5, Z6, Z7, Z8, Z9, and Z10) were isolated from the samples. All of these strains were gram-positive. Antibiotic resistance profiling showed that strain Z1 was most resistant to ampicillin (1500 μg/ml) among all of the antibiotics (tetracycline, penicillin, erythromycin, and chloramphenicol) that were tested. A growth …

Economic Analysis And Profitability Of Honey Production And Marketing In Cross River State, Nigeria, Joseph A. Ugbe, Tee T.N., Ancha P.U

Journal of Bioresource Management

The significance of honey in the socio-economic livelihoods of rural and semi-urban populations is paramount, as it tackles issues such as unemployment, income, and ecosystem preservation. The decrease in the timber industry has caused numerous individuals who rely on forests for their income to be without jobs, making it difficult to find other ways to make a living. This study examines the economic analysis and profitability of honey production and marketing in Cross River State, Nigeria, over 5 years (2017-2021) for sustainable forest management. Six hundred and eighty-four (684) respondents were selected from three ecological zones in the state using …

The Nutritional And Biotechnological Potential Of Amaranth: A Versatile Plant For Health And Sustainability, Zeliha Selamoglu, Muhammad Yasir Naeem, Yaira Rakhmetova, Tulkinzhon Gaipov

Journal of Bioresource Management

The amaranth plant, originating from Central and South America, was a staple food for ancient civilizations like the Aztecs and Inca. Today, it is cultivated across tropical and subtropical regions, including Africa, Asia, and North America. Belonging to the Amaranthaceae family and comprising approximately 60 species, amaranth is valued for its adaptability to various soil and climatic conditions. This versatile crop is a nutrient-dense food source with a diverse chemical composition and numerous bioactive compounds, particularly in its seeds. Naturally gluten-free, amaranth is ideal for individuals with celiac disease or gluten sensitivity. It provides a complete profile of essential amino …

A Review On Wolbachia- A Viable Alternative To Control Aedes-Born Arboviral Diseases, Fatima Khizar, Iqra Mushtaq, Hafsa Masud, Muhammad Sajjad Sarwar

Journal of Bioresource Management

The endemic geographic ranges of mosquitoes are expanding due to various anthropogenic activities including rapid international travel and trade, urbanization, deforestation, and global warming. Hence, Aedes-borne arboviral diseases like dengue, chikungunya, yellow fever, or Zika infections would cause severe future outbreaks in non-endemic regions of the world. This threat to global public health highlights an urgent need for the development of efficient and effective mosquito control strategies. To date, a large number of mosquito vector-control strategies have been developed. Each of them has its strengths and weaknesses but the use of intracellular, endosymbiotic reproductive parasitic bacteria named Wolbachia pipientis …

Determination Of Manganese Concentration In Forages, Soil, Sewage Water Of Three Suburban Areas Of Sargodha, Pakistan, Iqra Anwar, Zafar Iqbal Khan, Kafeel Ahmad, Naila Riaz, Faiza Zubair, Asma Ashfaq, Muhammad Fahad Ullah, Farzana Siddique, Ijaz Rasool Noorka, Abid Ejaz, Maloofa Manzoor, Umbreen Bibi, Hafiza Memona Nazir, Saif Ullah

Journal of Bioresource Management

For irrigation of soil utilization of wastewater has risen significantly in the past few years. This wastewater often have large amount of trace elements and heavy metals, many of which are non-essential and harmful to living organisms such as plants, animals, and humans. In Pakistan, particularly around suburban areas, it is common to use this polluted water for growing vegetables. When such water is used for irrigation over an extended period of time, toxic substances can accumulate in the soil, potentially causing toxicity to plants and degrading soil quality. The samples analyzed in the study were prepared using the wet …

Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula

Theses

Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Generative Ai Applied To Aac For Aphasia: A Pilot Study Of Aphasia-Gpt, Dallin J. Bailey, Francesca Herget, Derek Hansen, Forrest Burton, Grant Pitt, Tyson Harmon, David Wingate

Faculty Publications

Background

People with aphasia may be supported by augmentative and alternative communication systems, but further development is necessary to improve the communication support such systems provide. Advances in artificial intelligence methods of natural language processing may provide improved support for people with aphasia, but development and testing involving people with aphasia is critical.

Aims

The purpose of the study is to describe the development and pilot testing of a new AAC system for people with aphasia, a mobile web app named Aphasia-GPT.

Methods & Procedures

Aphasia-GPT is specifically designed to receive spoken input from a user with aphasia; it then …

“Religion’S Firm-Rooted Truths:” Richard Polwhele, Pulpit Oratory And Loyalist Romanticism In The English Province, Dafydd Moore

School of Law, Humanities and Social Sciences

This article explores the rearguard action fought by the clergyman and writer Richard Polwhele against what he saw as the threat of Anglican Evangelicalism and Methodism in Cornwall during the French Revolutionary period, highlighting the connections between religious experience, rhetorical performance and politics. Whether it be through his theorizing of pulpit oratory, his rows with those he considered Enthusiasts or his understanding of ordination oaths, Polwhele maintained that religious belief should be regulated by rhetorical distance. Explaining this stance, the article shows how Polwhele’s theological and ecclesiological opposition to the Enthusiasm he regarded as dangerously inherent in Evangelical Protestantism also …

Artificial Intelligence To Quantify Employee Communication And Personality Dynamics

Defensive Publications Series

Systems and methods for evaluating an employee’s professional personality are provided. The systems and methods may enable the use of artificial intelligence to perform sentiment analysis on one or more employee communications, and quantify one or more personality characteristics based on the one or more employee communications. The systems and methods may compare the quantified personality characteristics to one or more employees, and may generate one or more employee scores for employees for each of the one or more personality characteristics.

Mr. Otis Lofton Sr.

African American Funeral Programs

death notice for Mr. Otis Lofton Sr. at James R. Barnes Mortuary

Democracy, Race, And Nature: The Radicalism Of Anti-Capitalist Politics, Inés Valdez

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Toward A Dialectical Theory Of Politico-Economic Regimes, Artemy Magun

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

A Practical Intrusion Detection Approach For Arp Spoofing And Mitm In Local Area Networks, Hiba Bazzi, Ali Nassar, Mustafa El Bizri, Ali M. Haidar Prof.

BAU Journal - Science and Technology

In modern network environments, the increasing sophistication of cyberattacks poses significant risks, particularly through Address Resolution Protocol (ARP) spoofing and Man-in-the-Middle (MITM) attacks, which exploit vulnerabilities in local area networks. Existing tools often focus on detection or protection at the client side, leaving network-wide detection and response largely unaddressed. This paper presents a novel intrusion detection tool specifically designed to identify ARP spoofing and MITM attacks in real-time within local area networks. The system leverages Python and Scapy for low-level packet analysis and Flask for an intuitive web-based dashboard. Key features include network monitoring, attack detection through ARP table comparisons, …

Online Learning Transition: An Analysis Of Proactive Institutional Assistance In Reducing Difficulties During The Covid-19 Pandemic, Mohammed Yahya Alghamdi

BAU Journal - Science and Technology

The COVID-19 pandemic caused major changes in the education system, with a shift to online learning, and experience has shown that transitioning from face-to-face instruction is difficult. This study involved 80 academic staff members from Al-Baha University in Saudi Arabia to learn about the benefits, limitations, and institutional support of online education in the setting of an epidemic. The study answers two primary questions: The first study question was, What difficulties did instructors face when they switched to online instruction? While the second research question was, How did institutional support influence the transition to online instruction? The study’s research methodology …

Adopting Association Rule Learning For Detecting And Ranking Influential Users On Hashtags, Layal Abu Daher, Islam Elkabani, Rashed Zantout

BAU Journal - Science and Technology

Social Media platforms are networks of relationships in which users are considered as nodes in a graph and relationships between users are considered edges. These graphs symbolize online groups or communities. It has been a challenge for researchers to study the evolution of such communities due to their rapid and dynamic development. The contribution of our work is twofold: (i) studying the effectiveness of a set of Direct and Indirect Influence Measures that identify the factors that urges users to participate in certain communities; (ii) proposing an Association Rule Mining technique to identify influential users on a dataset of a …

Ai-Driven Dynamic Pilot Placement For 5g Mmwave Massive Mimo: A Random Forest Regression Approach, Mohammad R. Abou Yassin, Soubhi Abo Chahine, Hamza Issa

BAU Journal - Science and Technology

Efficient pilot placement in 5G millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems is critical to enhancing performance, achieving high spectral efficiency (SE), low bit error rate (BER), reduced pilot overhead, and minimized latency. However, this requires pilot symbols transmission, which occupies spectral resources and results in reducing spectral efficiency (SE). This paper proposes a novel dynamic pilot placement (DPP) framework, optimized using a Random Forest Regression (RFR) approach, to enhance system performance. Unlike traditional static and semi-static pilot allocation methods, the DPP approach dynamically adjusts pilot positions based on real-time channel state information (CSI) and system requirements, reducing interference and …