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Difficulties In Diagnosing Primary Cutaneous Mucormycosis: Excluding Mycobacterium Other Than Tuberculosis, Chinda Liaska Indah, Sri Linuwih Susetyo Wardhani Menaldi, Sondang Pandjaitan Sirait, Sandra Widaty

Journal of General - Procedural Dermatology and Venereology Indonesia

Background: Mucormycosis is a rare fungal infection caused by a group of opportunistic fungi from the class Zygomycetes. Primary cutaneous mucormycosis is the most common type of mucormycosis in immunocompetent patients. This study reported a case of primary cutaneous mucormycosis with nonspecific clinical characteristics and various supporting examinations. The patient was successfully treated with in toto excision and oral ketoconazole.

Case Illustration: A 40-year-old female presented with purplish-red spots and painless lumps on the second finger of her right hand, which had been present for a year. She had a history of frequent fish tank cleaning and gardening but …

Effectiveness And Safety Of Moisturizing Wash And Cream In The Treatment Of Elderly Xerosis Cutis, Lili Legiawati, Shannaz Nadia Yusharyahya, Rinadewi Astriningrum, Fathirah Rahmatiah Puteri, Nabila Chalisya Ilyas

Journal of General - Procedural Dermatology and Venereology Indonesia

Background: The skin undergoes degenerative and metabolic changes with aging, increasing susceptibility to dermatological conditions. Xerosis cutis, characterized by rough, scaly skin on the lower legs, is the most common cause of pruritus in elderly patients, with a prevalence of 38–85%. Treating xerosis cutis is challenging due to its multifactorial causes, especially in the elderly. Moisturizers remain the primary and most effective treatment, providing convenience and efficacy. This study aimed to evaluate the effects of QV Intensive Moisturizing Cleanser™️ and QV Intensive Cream™️ (Ego Pharmaceuticals, Australia), which contain humectants, emollients, and occlusives.

Case Illustration: This observational case series involved six …

Learning Engagement In Primary Education: Development And Validation Of A Contextualized Scale For Indonesian Elementary School Students, Meidias Abror Wicaksono, Edy Purwanto, Tri Joko Raharjo, Diani Akmalia Apsari, Bambang Subali, Nuni Widiarti

Jurnal Kajian Bimbingan dan Konseling

This study aims to develop and examine the validity and reliability of a contextual learning engagement scale for elementary school students. The scale was develop based on the learning motivation and behavior theory by Schunk, Pintrich, and Meece, and interest dimensions from Ainley. A quantitative approach using instrument development design was employed. Data analysis was conducted using confirmatory factor analysis (CFA) to evaluate the construct structure. A total of 330 students from grades 4, 5 and 6 were selected through cluster random sampling. The results revealed that the scale consists of four dimensions: learning enthusiasm, learning persistence, learning autonomy, and …

Relational Knowledge Restructuring: Explored Though Experimental And Bayesian Computational Methods, Ashley Nicole Douglass

Dissertations - ALL

Are people rational Bayesian learners that produce a final posterior belief that is a compromise of their prior and the amount of new data? If they are then can one create a model that can predict their final belief given an estimate of their prior belief and the new data? This study aims to explore this. The participants were presented with two relational structures, the initial and the alternative which contradicted each other to a certain degree. In condition 1 the alternative structure was similar to the initial and in condition 2 the structure had the same number of contradictions …

Adaptive Generation In Evolutionary Robotics: From Adversarial Objects To Guided Optimization, Unknown Akshay

Dissertations - ALL

Evolution-inspired algorithms have proven effective for complex optimization problems butsuffer from computational inefficiency due to their reliance on random variation operators. This is problematic in domains where fitness evaluation depends on expensive procedures such as training a neural network or running a robot, either in simulation or on hardware. This dissertation presents novel approaches for evolutionary robotics that replace stochastic evolutionary operations with learned, adaptive strategies using reinforcement learning (RL), significantly improving search efficiency while maintaining population diversity.The first contribution is a voxel-based evolutionary framework for generating adversarial objects that challenge robotic grasping systems. By evolving objects with controlled similarity …

Cultural Mistrust Framework Of Mental Help-Seeking And Internalized Model Minority Myth, Jin Zhao

Dissertations - ALL

Objective: Cultural mistrust can serve as an intermediary variable indirectly facilitating the association between racial microaggressions and unfavorable mental help-seeking attitudes. This study sought to broaden the cultural mistrust framework’s applicability to Asian and Asian American college students by (1) replicating the framework using a national multi-campus sample and (2) integrating internalized model minority myth (i.e., unrestricted mobility and achievement orientation) via a conditional process approach. Methods: This study used cross-sectional data from a national sample of Asian and Asian American college students (N = 180, Mage = 21.47 [SD=1.84]). Path models estimated indirect and direct associations, as well as …

Computationally Efficient Methods For Calculation Of Light-Matter Interaction In Large Semiconductor Quantum Dots, Chandler Martin

Dissertations - ALL

Quantum dots are a class of materials in the nanometer scale that have unique optical and electronic properties due to the quantum confinement effect. Traditional electronic structure computational techniques used for calculating these properties fall to scalability issues as the size of the quantum dot increases, or introduce significant errors into the final result. This makes using computational methods to predict new materials, or verify properties of existing materials, challenging to use for experimental applications of quantum dots. This gap between experiment and computation is due to large basis sets, expensive integrals, and storage and manipulation of tensors that grow …

‘Pagbangon At Pag-Asa’ (Resurgence And Hope): A Qualitative Study Of The Lived Experiences Of People With Stroke And Household Carers In The Philippines, The Tulay Project Team, Sarah Ann Buckingham, Elda Anota, Maria Mercedes Barba, Vergil Boac, Myrna Estrada, Lorraine Faeldon, Bridie Kent, Fiona Leggat, Roy Francis Navea, Aira Patrice Rueda Ong, Nena Marie Santos, Annah Teves, Paula Melizza Valera, Fiona Jones

School of Nursing and Midwifery

Background: Stroke is a leading cause of disability and mortality in the Philippines, where access to formal rehabilitation services is limited. There is a lack of research on the lived experiences of people with stroke and their household carers across diverse urban and rural settings. Objective: To explore the experiences, challenges and support needs of people with stroke and their household carers throughout the Philippines, and to inform the co-design of a community-based stroke support programme. Methods: A descriptive qualitative design was used. Semi-structured interviews were conducted with 24 people with stroke and 20 household carers across six sites in …

Cd177+ Neutrophils: New Drivers Of Liver Regeneration, Yankai Wen, Cynthia Ju

Faculty, Staff and Student Publications

No abstract provided.

Twas-Ctl: A Robust And Efficient Method For Multi-Tissue Transcriptome-Wide Association Studies Using Cross-Tissue Learners, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang

Michigan Tech Publications

The advent of transcriptome-wide association studies (TWAS) has expanded the classical genome-wide association study (GWAS) framework by integrating gene expression with genetic variation to identify trait-associated variants. While multi-tissue TWAS approaches improve statistical power over single-tissue models, existing methods often lose information during result aggregation and require intensive computation. Here, we present TWAS-CTL (Cross-Tissue Learner), a novel framework that leverages heterogeneous gene expression across tissues by adaptively reweighting and optimizing multiple single-tissue learners. Simulations demonstrate that TWAS-CTL achieves higher statistical power than the leading method, UTMOST, while maintaining proper type I error control and reducing computational time by over half. …

A Comparative Study Of Conceptual Metaphors In Indonesian And Chinese Economic Headlines, Hendy Yuniarto

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

This study examines how economic concepts are metaphorically constructed in Indonesian and Chinese news headlines. Employing the Lakoff and Johnson's framework of Conceptual Metaphor Theory, the study analyzes and compares conceptual metaphors in economic news headlines from CNBC Indonesia and China Business Network published between January and April 2025. Employing a qualitative methodology guided by MIPVU, the study mapped conceptual economic metaphors in a corpus of 500 economic news headlines. The investigation demonstrates a significant overlap in the conceptualization of economic events in both languages: economic actions are physical movements, business is a natural force, economy is a competition, money …

Optimized Beamforming And Network Slicing For Dense Urban 5g Deployments, Kwame S. Ibwe

Tanzania Journal of Science

Optimizing beamforming and network slicing is critical for enhancing spectral efficiency, energy efficiency, and resource distribution fairness in dense urban 5G networks. This paper proposes a hybrid genetic algorithm particle swarm optimization (GA-PSO) method to jointly optimize beamforming weights, bandwidth allocation, and power distribution, balancing computational efficiency with near optimal performance. The hybrid approach uses GA for global exploration and PSO for fast convergence, overcoming the limitations of standalone heuristic and exact optimization methods. Simulation experiments in a dense urban 5G network with massive MIMO base stations show that proposed method achieves up to 15% higher spectral efficiency and 18% …

Implementation Of A Carbon-Neutral Pv+Bess System - A Case Study Of Knauf Gypsum Tanzania, Santos Kihwele

Tanzania Journal of Science

This study presents a decarbonization pathway for Tanzania’s industrial sector by integrating a 2.966 MWp solar photovoltaic (PV) system with a 2 MW/8 MWh battery energy storage system (BESS) at KNAUF Gypsum Tanzania. A comprehensive techno- economic analysis was conducted using PVSyst simulations software. The simulation integrated site-specific meteorological data, component specifications and the factory’s electricity load profile to model annual generation patterns, system losses and battery charging and discharging cycles. The model accounted for system degradation to ensure realistic long-term performance projections. The PV+BESS solution reduces the energy-related carbon footprint to 64% and cuts annual energy costs by 65%, …

Antioxidant And Anti-Inflammatory Effects Of Blighia Unijugata Baker Aril Protein-Rich Extract, Oludele O. Odekanyin, Ifeoluwa M. Adepoju, Tolulope A. Anjorin, Oluwatobi S. Adekoya

Tanzania Journal of Science

The study investigated the in vitro oxidative-stress-mitigating effect and anti- inflammatory potential of the soluble protein of the arils of Blighia unijugata in order to establish possible use in inflammatory therapy. Air-dried Blighia unijugata aril was pulverized into powder, defatted using petroleum ether, and homogenized in Phosphate Buffer Saline. The homogenate was centrifuged, and the supernatant was subjected to ammonium sulphate fractionation. The precipitate was thoroughly dialyzed, dialysate was freeze-dried, and termed partially purified Blighia unijugata aril protein extract (ppBUAPE). The antioxidant potential of the protein-rich extract was investigated using DPPH, H2O2 scavenging activity, and FRAP. The ability of ppBUAPE …

Mathematical Modeling Of Awareness-Driven Interventions For Gender-Based Violence Control In A Closed Population, Furaha M. Chuma, Edward K. Ngailo, Zubeda S. Mussa

Tanzania Journal of Science

Gender-based violence (GBV) remains a critical global health issue with profound social, economic, and psychological implications. Despite concerted efforts to address this challenge, traditional intervention approaches often fall short of effectively mitigating its prevalence. In recent years, there has been growing recognition of the potential impact of awareness-based interventions in addressing various social and health crises. This paper introduces a modeling framework to explore the efficacy of awareness-based interventions in influencing the dynamics of the GBV epidemic within a closed population. A detailed sensitivity analysis, utilizing a normalized sensitivity index method, reveals that the violence transfer rate between perpetrators and …

Modelling The Impact Of Multiple Control Strategies On The Spread Of Phyllody Disease In Sesame, Augustino I. Msigwa, Furaha M. Chuma

Tanzania Journal of Science

Phyllody disease, caused by phytoplasma and transmitted by insect vectors such as leafhoppers, poses a serious threat to the productivity of sesame (Sesamum indicum) as it has caused substantial yield and oil-quality losses worldwide, with documented seed-yield reductions ranging from 38% to as high as 80% in severe outbreaks, particularly in Africa and India. Understanding phyllody dynamics is therefore critical to safeguard yields and trade. While some modeling efforts exist for sesame phyllody (for example, statistical and prediction-focused approaches), mechanistic transmission models (SEIR) assessing its full impact remain scarce. This study therefore develops and analyses impact of multiple control strategies …

Modeling And Forecasting Wholesale Gasoline Prices In Tanzania Using Arima And Neural Network Autoregressive Models, Thadei D. Sagamiko, Edward K. Ngailo

Tanzania Journal of Science

Fluctuations in wholesale gasoline prices significantly impact the economy of import-dependent countries like Tanzania, making accurate forecasting essential for policymakers and market participants. This study forecasts monthly wholesale gasoline prices in Dar es Salaam by comparing the Autoregressive Integrated Moving Average (ARIMA) model with a Neural Network Autoregressive (NNAR) model. Using data from January 2015 to December 2024 from the Energy and Water Utilities Regulatory Authority (EWURA), the models were evaluated. The ARIMA(1,1,1) model was identified as the best-fitting linear model, but the NNAR(11,7) model demonstrated superior accuracy. On the holdout test set, the NNAR model achieved a lower Mean …

Enhancing Topical Delivery Of N-Acetylcysteine And Collagen Via A Novel Electrospun Collagen/Pmma Nanofibrous Mats As Facial Mask Development: Nanofibers Optimization And In Vitro Experiments, Samar A. Salim, Galala University, King Faisal University, Badr University, National Research Centre, City Of Scientific Research And Technological Applications (Srta-City),, Badr University

Nanotechnology Research Centre

This study endeavours to craft a potent topical facial mask using electrospun nanofibers. The nanofibers were carefully fabricated based on loading of N-acetylcysteine (NAC) onto electrospun marine collagen (MC), and poly (methyl methacrylate) (PMMA) nanofibers. Through precise adjustments of electrospinning parameters, a uniform array of nanoscale fibres with a smooth surface was achieved. The morphology and chemical structure configuration of nanofibers (NFs) were examined using SEM, FTIR, and XRD analyses. Furthermore, the cytotoxic impact was assessed on a human normal fibroblast cell line (BJ1), while protein levels were gauged using the Bradford dye-binding assay (Coomassie assay). Also, the antioxidant potential …

Aquifer Distribution In Lukobe Ward, Morogoro Municipality, Tanzania: Mapped Resources For Sustainable Water Access, Kelvin K. Kayuni

Tanzania Journal of Science

In response to the ongoing challenges posed by the scarcity of reliable fresh-water sources in Lukobe Ward, Morogoro Municipality, Tanzania, this study applied an integrated approach that combines geospatial and geophysical datasets to identify previously undocumented aquifers. The datasets utilized include an apparent density map generated from high-resolution GGMPlus satellite gravity data, a geological map (Quarter Degree Sheet 183), a water drainage map, and a slope map created from a digital elevation model (DEM). The analysis successfully identified four unconfined, saprolitic aquifers in the study area, designated as aquifers A, B, C, and D. These aquifers span areas of 12.2 …

Synergistic Use Of Sentinel-1 And Sentinel-2 Data For Mapping Of Degradation In Coastal Forests And Miombo Woodlands Of Tanzania, Daria C. Kimaro

Tanzania Journal of Science

Forest degradation is one of the leading sources of carbon emission globally. In Africa, particularly in Tanzania, forest degradation is driven by selective logging and forest fires. Monitoring degradation over large areas is very challenging due to the lack of accurate and reliable methods. This study assessed degradation in miombo woodlands and coastal forests using a synergy of remotely sensed data acquired from sentinel-1 and sentinel-2 achieved by integrating their complementary strength where sentinel-1 enhanced detection of structural changes and sentinel-2 provided spectral insight into vegetation. The 3I3D, unsupervised algorithm analysing trends for three vegetation indices (3I) in a three-dimensional …

Performance Comparison Of Kriging Models Used For Estimation Of Rainfall Variability In The Northern Coast Of Tanzania, Salma Suleiman, Clement Mromba

Tanzania Journal of Science

Accurate rainfall estimation underpins effective disaster preparedness and sustainable socioeconomic planning. The performance of Ordinary Kriging (OK), Universal Kriging (UK), and Simple Kriging (SK) in estimation of rainfall variability were assessed across eight stations in the northern coast of Tanzania for the period from 1960 to 2020. Using ArcGIS 10.3, each method was evaluated and cross-validated using six performance metrics, namely; Mean Error (ME), Mean Square Error (MSE), Root Mean Square Error (RMSE), Root Mean Standardized Square Error (RMSSE), Average Standardized Error (ASE), and the Coefficient of Determination (R²). Performance comparison results indicate OK to have achieved the lowest bias, …

Simulation Based Model For Canine Distemper Virus In Prey-Predator Dynamics, Mussa A. Stephano

Tanzania Journal of Science

This study investigates the dynamic interactions of a prey-predator ecosystem infected with Canine Distemper Virus (CDV), focusing on predation and disease transmission. A deterministic model, coupled with Monte Carlo simulations (MCS), employed to capture both stochastic variability and environmental fluctuations. The findings indicate that classical prey-predator cycles provide the baseline for population dynamics, but the introduction of CDV and environmental noise fundamentally alters system behavior. Initially, populations exhibit oscillations that gradually stabilize into dynamic equilibria. However, the disease persists within both prey and predator populations, suggesting endemicity rather than extinction. Predation plays a dual role in disease dynamics, while it …

Variations In Physicochemical Properties, Microbiological Profiles, And Nutrient Dynamics In The Temi River, Arusha, Tanzania: Sources And Implications, Aldo J. Kitalika

Tanzania Journal of Science

This study thoroughly investigates the physicochemical properties, microbiological profiles, and nutrient dynamics of the Temi River in Tanzania. The sources and implications of fluctuations in dissolved organic carbon (DOC) and nutrients during the wet and dry seasons are carefully analysed. Water samples were collected from various geographically referenced points along the river, and analyses were performed using the APHA Standard Methods for Water and Wastewater Testing. The results show that most parameters increased downstream in both seasons, with the highest DOC levels reaching 352.11 mg/L in the wet season, followed by a significant decrease to 126.00 mg/L during the dry …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

Synthesis, Spectroscopic Characterization, And Biological Evaluation Of Mixed Ligands Complexes From Schiff Base And 1,10-Phenanthroline With Multivalent Metal Ions, Maryam H. Abboud, Shaymaa R. Baqer

Baghdad Science Journal

The new Schiff base (L) was synthesized from the condensation reaction of 3-amino-4-(1-methoxy-1-oxo-3-phenylpropane-2-ylamino)-4-oxobutanoic acid (aspartame) with 4-chlorobenzaldehyde in 3 drops of glacial acetic acid. This ligand is characterized by techniques: UV-Vis, FT_IR, ¹HNMR, ¹³CNMR, Mass and C.H.N.O. A series of complexes were prepared with 1,10- phenanthroline as mixed ligands complexes. All mixed ligands complexes of chromium, cobalt, nickel, copper, palladium and platin have been characterized by the same ligands techniques. In addition to molar conductivity and magnetic moments, the NMR spectrum and mass spectrum were for ligands only. Results showed through previous techniques that the ligand (L) behaves …

Nano Copper Metal Electrodeposited On Mild Steel From Dissolved Hydrated Copper Chloride In Deep Eutectic Solvent, Eman Turky Shamkhy, Hadi M A Abood, Taghried A. Salman

Baghdad Science Journal

In this study, electrodeposition of copper nanoparticles from its soluble hydrated chloride salt in ammonium Alum: urea deep eutectic solvent (DES) of 1:5 mole ratio was investigated. The electrochemical reduction of the Cu (II)/Cu (0) couple was found to be a quasi-reversible reaction, with a broad reduction peak at –0.2 V as revealed by cyclic voltammetry. The hydrated copper chloride stabilized the electro-reduction process within the DES. Scanning electronic microscope (SEM) showed copper metal was electroplated as nano particles 35 to 49 nm agglomerated as Cauliflower on mild steel. Energy dispersive X-ray spectrometry (EDX) X-ray, analyses (XRD) and visually showed …

Adsorption Of Cu(Ii) Metal Ions Using Matoa (Pometia Pinnata) Shell Immobilized With Silica Gel, Desy Kurniawati, Popi Patricia, Putri Ramadhani, Rahadian Zainul, Budhi Oktavia, Reka Kartika

Baghdad Science Journal

The Industrial Revolution, along with the rapid increase in population, has significantly contributed to the intensification of environmental challenges, mostly the contamination of aquatic ecosystems by heavy metals. One metal that is dangerous for the environment and human health is copper (Cu). The threshold for Cu(II) allowed in water is 0.2 mg L^–1. One method to overcome this metal ion pollution is by biosorption using biological material adsorbents. Matoa shell, utilized as a biosorbent, has demonstrated its ability to effectively bind heavy metal ions through its functional groups, which facilitate the formation of complexes with these ions. Biosorbent …

Studying The Surface Morphology Of The Precipitate Formed Of Cobalt (Ii) Ion And Copper (Ii) Ion By Using Continuous Flow Injection Analysis/ Nag-4sx3-3d Analyzer-Atomic Force Microscopy, Nagham Shakir Turkey, Bakr Sadiq Mohammed, Issam Mohammad Shakir

Baghdad Science Journal

This work aims to use the home-made NAG-4(sources)x3 with three solar cells (NAG-4SX3-3D analyzer), together with AFM and CFIA, in which the morphology of the surface of the Co²⁺ and Cu²⁺ ions precipitates have been determined by determine the roughness parameters and obtain a sufficient amount of weight (Maronite precipitate of Cu(II) ion and bright green precipitate of Co(II) ion) for the AFM sample via the reaction of both ions with Ca₂[Fe(CN)₆] as a precipitating agent. The ability of the suggested method to calculate the quantity of nanoparticles that can fill the vacant surface …

Organic And Inorganic Carbon Drives Zooplankton Composition In Tigris River Within Baghdad, Mohammed Hamdan, Batool Kadhim

Baghdad Science Journal

Increasing availability of organic and inorganic carbon in aquatic ecosystems became a common phenomenon that was influenced by manmade activities and ongoing climate change, which could influence zooplankton communities. Zooplankton composition in Tigris River under the effects of dissolved organic and inorganic carbon inputs (DOC and CO₂) has not been studied yet. Hence, we studied those impacts by taking three locations that were distributed in Tigris River within Baghdad City. Eighty-four taxa of zooplankton have been recognized during the study. These taxa were divided into three main groups that are: Rotifera forms 69.04% and Cladocera forms 16.66%, while …

Mental Health First Aid Certification's Impact On Filipino Nurses' Ability To Increase Personal Help-Seeking Behaviors, Self-Awareness Of Health Changes, And Improved Self-Connection, Maria Elena Holguin, Brenda Marshall, Faith Atte, Katherine J. Roberts

School of Nursing Faculty Scholarship and Creative Works

Background

Post COVID-19, almost 50% of nurses reported severe depression, and over 30% moderate to severe anxiety. Nurses from minority racial and ethnic backgrounds, including Filipino nurses, accounted for more than 54% of COVID-related deaths, despite comprising only 24.1% of the nursing workforce. Filipino nurses, making up only 1% of the U.S. population, comprise 4.5 % of the nursing workforce and face significant barriers to seeking mental health services, including stigma, a sense of shame, and adherence to cultural values that view mental illness as unacceptable.

Aim 

To assess the impact of Mental Health First Aid (MHFA) certification among Filipino …