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This study was carried out to assess feed resources mineral composition and utilization of mineral soil in the Haramaya district of the East Hararghe Zone, Ethiopia. The survey data was collected from four kebeles using a semi-structured questionnaire from 80 respondents (20 from each kebele) selected randomly. Two natural pasture samples across the wet and dry seasons were collected using a quadrant from each season. Two maize and sorghum stover samples were collected for analysis at the end of harvesting seasons. Two mineral soil samples were collected from Lake Adelle and Small Abaya. Table salt (50%), mineral water (30%), and mineral soil (20%) were used as mineral supplements for livestock. Farmers obtain mineral soil from the licking area of the mineral soil and feed animals by hiking them in the licking area and taking the mineral soil into the home. Maize stover was deficient in Ca, P, Na, Zn, and Cu, while sorghum stover was deficient in P, Na, Mg, and Cu. During the wet season, natural pasture consists of higher (p

Abstract GeoCrack is the first large-scale open source annotated dataset of fracture traces from geological outcrops, enabling deep learning-based fracture segmentation, setting a new standard for natural fracture characterization datasets. GeoCrack contains images from photogrammetric surveys of fractured rock exposures across 11 sites in Europe and the Middle East, capturing diverse lithologies and tectonic settings. Each image was cleaned, normalized, and manually segmented, followed by a recursive annotation vetting process to ensure the quality and accuracy of the digitized fracture edges. The processed images and corresponding binary masks were divided into 224 × 224 patches, yielding 12,158 pairs. GeoCrack captures representive real-world challenges in fracture edge annotation, such as contrast variations between fracture traces and the host medium due to geological and geomorphological factors like aperture dilation, host rock composition, outcrop weathering, and groundwater staining. Physical occlusions like shadows and vegetation are also considered to minimize false positives. GeoCrack was validated using a U-Net implementation for fracture segmentation, achieving satisfactory IoU of 85%. GeoCrack holds strong potential to advance deep fracture segmentation in geological applications, effectively tackling the diverse challenges of real-world fracture identification.

This exploratory study was conducted to determine the growth performance of bulls from Harar, Jersey×Horro crossbred, Arsi, and Ogaden cattle breeds fed a corn-silage based finishing diet. A total of 12 bulls, 3 from each breed, were used for the study. A completely randomized design (CRD) was implemented to assign experimental bulls in a breed factor arrangement of treatment. The results of the study revealed that the breed of cattle had a significant (p

Electrocardiogram (ECG) is a non-invasive approach to capture the overall electrical activity produced by the contraction and relaxation of the cardiac muscles. It has been established in the literature that the difference between ECG-derived age and chronological age represents a general measure of cardiovascular health. Elevated ECG-derived age strongly correlates with cardiovascular conditions (e.g., atherosclerotic cardiovascular disease). However, the neural networks for ECG age estimation are yet to be thoroughly evaluated from the perspective of ECG acquisition parameters. Additionally, deep learning systems for ECG analysis encounter challenges in generalizing across diverse ECG morphologies in various ethnic groups and are susceptible to errors with signals that exhibit random or systematic distortions To address these challenges, we perform a comprehensive empirical study to determine the threshold for the sampling rate and duration of ECG signals while considering their impact on the computational cost of the neural networks. To tackle the concern of ECG waveform variability in different populations, we evaluate the feasibility of utilizing pre-trained and fine-tuned networks to estimate ECG age in different ethnic groups. Additionally, we empirically demonstrate that finetuning is an environmentally sustainable way to train neural networks, and it significantly decreases the ECG instances required (by more than 100×) for attaining performance similar to the networks trained from random weight initialization on a complete dataset. Finally, we systematically evaluate augmentation schemes for ECG signals in the context of age estimation and introduce a random cropping scheme that provides best-in-class performance while using shorter-duration ECG signals. The results also show that random cropping enables the networks to perform well with systematic and random ECG signal corruptions.

In our research, we address the problem of coordination and planning in heterogeneous multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this problem has been framed as a task allocation problem that maps tasks to robots. However, all previous work assumes that tasks are atomic procedures. In this work, we relax this assumption and adopt a non-atomic model of tasks that enables robots to accomplish mission tasks incrementally over disjoint periods, precisely to account for the possibility of having a task serviced by numerous individual contributions over time. We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. We also propose a fully distributed variant of CoLoSSI that tackles sparse, communication-restricted scenarios. Computational and simulation results confirm the efficacy of the proposed approaches for generating good-quality mission plans with low computational effort.

This study aimed to identify and examine the prevalence of Aspergillus species in three types of feed collected from specialized dairy farms and local markets in Chiro town, Dire Dawa, and Harar cities in eastern Ethiopia. A total of 180 dairy feed samples were collected and sown, initially on YES agar and then sub-cultured to AFPA to identify Aspergillus species based on colony color, conidia, vesicle, and phialide features. Additionally, the aflatoxigenic potential of the colonies was tested using CAM-based UV fluorescence. The study revealed that the prevalence of Aspergillus species was 80.6% in dairy feeds with a mean count of 3.04 log10cfu/g. Among the identified species, A. flavus was found to be highly prevalent (80%) in the feed with a mean of 2.73 log10cfu/g (7.45 × 103 cfu/g). Meanwhile, A. parasiticus and A. niger were observed in 73.3% (mean 2.43 log10cfu/g) and 58.3% (mean 1.68 log10cfu/g) of feeds, respectively. Furthermore, the prevalence rates of all Aspergillus species in feeds were not significant (p > 0.05) among the study sites and feed sources. However, the mean count of total Aspergillus (3.47 ± 1.34 log10cfu/g), A. flavus (3.20 ± 1.27 log10cfu/g), and A. parasiticus (2.82 ± 1.41 log10cfu/g) was significantly higher in feeds from Dire Dawa city. Additionally, both the prevalence rates and mean counts of total Aspergillus (37.9% and 3.65 ± 1.16 log10cfu/g), A. flavus (38.2% and 3.26 ± 1.12 log10cfu/g), A. parasiticus (38.6% and 2.98 ± 1.34 log10cfu/g), and A. niger (37.1% and 2.11 ± 1.57 log10cfu/g) in total mixed ration were significantly higher (p

In recent times, there has been a surge of interest in the unique characteristics and possible applications of nanoparticles in various fields, including environmental clean-up. The contamination of water sources with pharmaceutical and organic substances has emerged as a significant environmental concern. Semiconductor nanoparticles, particularly Bi2S3 nanoparticles, have garnered considerable attention due to their efficacy and environmentally friendly nature in advanced oxidation processes (AOPs). These nanoparticles have shown remarkable photocatalytic abilities in the destruction of pollutants when exposed to UV–visible light. This study covers the production, characterization, and degradation of Bi2S3 nanoparticles in relation to organic and pharmaceutical contaminants. By utilizing co-precipitate methods, it becomes possible to precisely manipulate the size, shape, and composition of the nanoparticles, which are crucial factors in determining their catalytic effectiveness. The created nanoparticles are then examined using various analytical techniques, such as Powder X-ray Diffraction (P-XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), UV-visible spectroscopy, Photoluminescence study (PL), colour chromaticity coordinates (CIE), and Dynamic light scattering study (DLS). The catalytic capability of the synthesised compounds was compared to the degradation of Picric acid and paracetamol as model pollutants. The observed photocatalytic activity of these nanoparticles indicates their potential in water purification and environmental clean-up. The findings suggest that incorporating these nanoparticles into practical systems for pollutant degradation is feasible and can be applied in diverse scenarios. The results shed light on the efficient utilization of Bi2S3 nanoparticles as photocatalysts for the oxidation of drugs and organic contaminants. By utilizing Bi2S3 nanoparticles, the elimination of pharmaceutical and organic pollutants from water sources becomes achievable, thereby contributing to the preservation and safeguarding of the environment and public health.

Abstract Background Percutaneous thermal ablation has become the preferred therapeutic treatment option for liver cancers that cannot be resected. Since ablative zone tissue changes over time, it becomes challenging to determine therapy effectiveness over an extended period. Thus, an immediate post‐procedural evaluation of the ablation zone is crucial, as it could influence the need for a second‐look treatment or follow‐up plan. Assessing treatment response immediately after ablation is essential to attain favorable outcomes. This study examines the efficacy of image fusion strategies immediately post‐ablation in liver neoplasms to determine therapeutic response. Methodology A comprehensive systematic search using PRISMA methodology was conducted using EMBASE, MEDLINE (via PUBMED), and Cochrane Library Central Registry electronic databases to identify articles that assessed the immediate post‐ablation response in malignant hepatic tumors with fusion imaging (FI) systems. The data were retrieved on relevant clinical characteristics, including population demographics, pre‐intervention clinical history, lesion characteristics, and intervention type. For the outcome metrics, variables such as average fusion time, intervention metrics, technical success rate, ablative safety margin, supplementary ablation rate, technical efficacy rate, LTP rates, and reported complications were extracted. Results Twenty‐two studies were included for review after fulfilling the study eligibility criteria. FI's immediate technical success rate ranged from 81.3% to 100% in 17/22 studies. In 16/22 studies, the ablative safety margin was assessed immediately after ablation. Supplementary ablation was performed in 9 studies following immediate evaluation by FI. In 15/22 studies, the technical effectiveness rates during the first follow‐up varied from 89.3% to 100%. Conclusion Based on the studies included, we found that FI can accurately determine the immediate therapeutic response in liver cancer ablation image fusion and could be a feasible intraprocedural tool for determining short‐term post‐ablation outcomes in unresectable liver neoplasms. There are some technical challenges that limit the widespread adoption of FI techniques. Large‐scale randomized trials are warranted to improve on existing protocols. Future research should emphasize improving FI's technological capabilities and clinical applicability to a broader range of tumor types and ablation procedures.

Aflatoxin constitutes a significant concern for food and feed safety, posing detrimental health risks to both animals and humans. This study aimed to examine the prevalence and concentration of aflatoxins in maize feed, total mixed ration, and wheat bran collected from specialized dairy farms and local markets in three major urban centers in eastern Ethiopia. A total of 180 feed samples were collected from September 2021 to January 2022 in Chiro town, Dire Dawa city, and Harar city. These samples underwent thorough extraction and immunoaffinity clean-up before aflatoxin analysis using HPLC/FLD. The results revealed that AFB1, AFB2, AFG1, AFG2, and TAF contamination was detected in 72.2%, 66.1%, 71.1%, 68.7%, and 82.8% of the feed samples, respectively. The corresponding mean levels of each aflatoxin were 28.15 ± 3.50, 3.3 ± 0.40, 19.87 ± 1.87, 2.7 ± 0.32, and 54.01 ± 4.72 µg/kg, respectively. The occurrence and levels of aflatoxin varied across different study sites and feed types. Notably, feeds from Dire Dawa city exhibited significantly higher mean levels of AFB1 (43.98 ± 5.3 µg/kg), AFB2 (5.69 ± 0.6 µg/kg), AFG1 (32.25 ± 2.7 µg/kg), and AFG2 (5.01 ± 0.5 µg/kg) than feeds from other urban centers did. Additionally, a significantly higher occurrence of AFB1 (29.4%) and AFG1 (28.3%) was detected in feed from Dire Dawa city. Similarly, the total mixed ration (TMR) displayed significantly higher levels of AFB1 (50.67 ± 5.2 µg/kg), AFB2 (4.74 ± 0.6 µg/kg), AFG1 (32.87 ± 2.6 µg/kg), and AFG2 (3.86 ± 0.5 µg/kg) compared to the other feed types. Moreover, a significantly higher occurrence of AFB1 (30.7%) and AFG1 (28.7%) was detected in the TMR. Furthermore, a moderate correlation was observed between the count of aflatoxigenic Aspergillus species and the levels of TAF in the feed samples. Overall, this study underscores the widespread presence of aflatoxin contamination in dairy feeds in eastern Ethiopia, highlighting the urgent need for stringent monitoring and mitigation measures to ensure food and feed safety, as well as public health.

Abstract Background Nigeria’s shortage of psychiatrists is exacerbated due to health worker migration. Aim This study explores migration experiences and tendencies among early-career psychiatrists in Nigeria. Methods We conducted a cross-sectional survey covering Nigeria’s six geopolitical zones, using a 61-item online questionnaire assessing short-term mobility, long-term migration experiences and migration attitudes. Data was analysed using IBM SPSS version 29. Results Of 228 early-career psychiatrists surveyed, 9.7% had short-term mobility and 8.0% had long-term migration experiences. However, 85.8% had ‘ever’ considered migration, 69.2% were planning to leave ‘now’, and 52.9% had taken ‘practical migration steps’. Over half (52.7%) said they would be working abroad in 5 years, with 25.2% indicating they would migrate within a year. The top reasons to leave were financial and academic, while personal and cultural factors were the key reasons to stay. Income dissatisfaction (OR = 2.27, 95%, CI = 1.05–4.88) predicted planning to leave ‘now’, while being in a relationship (OR = 3.46, 95%CI = 1.06–11.30) predicted taking ‘practical migration steps’. Attractive job features were good welfare (85.4%) and high salaries (80.3%). Improvements in finances (90.8%) and work conditions (86.8%) were requested. Conclusions Systemic changes to address psychiatrists’ migration from Nigeria are needed.

Abstract Introduction Nigeria, with an estimated 40 million people living with mental disorders, faces a critical shortage of psychiatrists to address the significant burden. Despite psychotherapy being integral to psychiatric training, it lacks structure, consistency and adequate supervision. This is alarming, particularly given the substantial demand for specialized psychotherapeutic support among those with mental illness. Methodology A cross-sectional study utilised an online survey targeting early career psychiatrists recruited from the Early Career Psychiatrists section of the Association of Psychiatrists in Nigeria. Results The questionnaire was distributed to 252 early career psychiatrists across Nigeria, with a 42.9% response rate, of which 50% were male, with 73.2% trainees and 26.8% early career psychiatrists. While 52.8% had received some psychotherapy training, only 2.8% were qualified psychotherapists. Notably, only 27.6% of those with psychotherapy training had over 100 hours of training. Factors such as receiving psychotherapy training during postgraduate training and having supervised psychotherapy training were found significant for having independent psychotherapy training. Conclusions There is little emphasis on psychotherapy training in the postgraduate training in Nigeria. Those who had full training in psychotherapy were self-sponsored. Structured, supervised and mandatory psychotherapy within psychiatry training curriculum is recommended.

Automatic food recognition systems have been receiving increasing attention in the research community with the advancements in inductive learning (e.g., classification in computer vision) due to their applicability in the healthcare and hospitality industry. However, food recognition is challenging due to its fine-grained nature and its high correlation with culture, geo-location, and language. To make food recognition systems feasible for the Middle Eastern region, we present a large-scale dataset (MEFood) of commonly consumed food items in the Middle East, thereby providing a dataset for current development and establishing a benchmark for future research. We have also thoroughly examined the MEFood dataset highlighting its challenging aspects and its real-world nature. Additionally, we have conducted a thorough experimental study benchmarking the mainstream computer vision and mobile networks on classification, runtime, and resource utilization metrics. Our results highlight that EfficientNet-V2 achieves performance closer to the best-performing individual model on the MEFood dataset while having the least resource utilization and minimal inference times. Finally, we have performed a thorough error analysis study to glean additional insights about the networks and MEFood dataset.

Computational drug repurposing is an efficient method to utilize existing knowledge for understanding and predicting their effect on neurological diseases. The ability of a molecule to cross the blood-brain barrier is a primary criteria for effective therapy. Thus, accurate predictions by employing Machine learning models can effectively identify the drug candidates that could be repurposed for neurological conditions. This study comprehensively analyzes the performance of the well-known machine learning models on two different datasets to overcome dataset-related biases. We found that random forest and extratrees (i.e., tree-based ensembled models) have the highest accuracy with mol2vec fingerprint for BBB permeability prediction, attaining AUC_ROC of 0.9453 and 0.9601 on BBB and B3DB dataset, respectively. Additionally, we have analyzed the impact of the data balancing technique (i.e., SMOTE) to improve the specificity of the models. Finally, we have explored the impact of different fingerprint combinations on accuracy. By employing SMOTE and fingerprint combination, SVC attains the highest AUC_ROC of 0.9511 on BBB dataset. Finally, we used the best-performing models of the B3DB dataset to evaluate the BBB permeability for drugs intended to be used for repurposing. Model validation for repurposing predicted the non-passage for most antihypertensive drugs and passage for CYP17A1 cancer drugs.

Owing to limited drug testing possibilities in pregnant population, the development of computational algorithms is crucial to predict the fate of drugs in the placental barrier; it could serve as an alternative to animal testing. The ability of a molecule to effectively cross the placental barrier and reach the fetus determines the drug’s toxicological effects on the fetus. In this regard, our study aims to predict the permeability of molecules across the placental barrier. Based on publicly available datasets, several machine learning models are comprehensively analysed across different fingerprints and toolkits to find the best suitable models. Several dataset analysis models are utilised to study the data diversity. Further, this study demonstrates the application of neural network-based models to effectively predict the permeability. K-nearest neighbour (KNN), standard vector classifier (SVC) and Multi-layer perceptron (MLP) are found to be the best-performing models with a prediction percentage of 82%, 86.4% and 90.8%, respectively. Different models are compared to predict the chosen set of drugs, drugs like Aliskiren, some insulin secretagogues and glucocorticoids are found to be negative while predicting the permeability.

Background: The coronavirus disease 2019 (COVID-19) pandemic has posed a significant global challenge, necessitating the development and administration of vaccines to halt its spread. Nevertheless, there is limited information on the predictors, patterns, and personality variables influencing COVID-19 vaccine uptake among Nigerian health-care workers (HCWs). Aim: The study set to assess level of factors including personality factors that influence acceptance of the COVID-19 vaccines among.HCWs in Nigeria. Materials and Methods: From August 9 to October 11, 2021, a web-based, cross-sectional survey was conducted on 300 HCWs in Nigeria, aged 19 and above, with social media access and English language proficiency. Descriptive statistics, Chi-square, and binary logistic regression were used to analyse the data on the SPSS version 20. Results: The findings revealed that while 64% of those who participated in the study received the first dosage of the COVID-19 vaccine, only 48.3% returned for the second dose. The impression of heightened susceptibility to contracting COVID-19 was the primary reason for vaccination uptake. Although education level was associated with vaccination uptake, it did not predict it independently. The age distribution, agreeableness, conscientiousness, and high vulnerability as a rationale for receiving a vaccine were all the independent predictors of vaccine uptake. Conclusion: This study reveals that despite their role as vaccination advocates, HCWs can exhibit hesitancy toward novel vaccines. To increase vaccine uptake among HCWs and the general population, it is crucial to recognise the factors that influence vaccine acceptance among them, including individual personality variables, and incorporate this understanding into vaccination promotion programs.

Elastography Ultrasound provides elasticity information of the tissues, which is crucial for understanding the density and texture, allowing for the diagnosis of different medical conditions such as fibrosis and cancer. In the current medical imaging scenario, elastograms for B-mode Ultrasound are restricted to well-equipped hospitals, making the modality unavailable for pocket ultrasound. To highlight the recent progress in elastogram synthesis, this article performs a critical review of generative adversarial network (GAN) methodology for elastogram generation from B-mode Ultrasound images. Along with a brief overview of cutting-edge medical image synthesis, the article highlights the contribution of the GAN framework in light of its impact and thoroughly analyzes the results to validate whether the existing challenges have been effectively addressed. Specifically, This article highlights that GANs can successfully generate accurate elastograms for deep-seated breast tumors (without having artifacts) and improve diagnostic effectiveness for pocket US. Furthermore, the results of the GAN framework are thoroughly analyzed by considering the quantitative metrics, visual evaluations, and cancer diagnostic accuracy. Finally, essential unaddressed challenges that lie at the intersection of elastography and GANs are presented, and a few future directions are shared for the elastogram synthesis research.

Abstract Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) that employs a fixed-width residual UNet backbone and Pyramid Atrous Convolutions, providing a low disk utilization method for precise liver CT segmentation. The proposed network is trained on medical segmentation decathlon dataset using a modified surface loss function. Additionally, we evaluate its quantitative and qualitative performance; the Res16-PAC-UNet achieves a Dice coefficient of 0.950 ± 0.019 with less than half a million parameters. Alternatively, the Res32-PAC-UNet obtains a Dice coefficient of 0.958 ± 0.015 with an acceptable parameter count of approximately 1.2 million.

Abstract Clinical imaging (e.g., magnetic resonance imaging and computed tomography) is a crucial adjunct for clinicians, aiding in the diagnosis of diseases and planning of appropriate interventions. This is especially true in malignant conditions such as hepatocellular carcinoma (HCC), where image segmentation (such as accurate delineation of liver and tumor) is the preliminary step taken by the clinicians to optimize diagnosis, staging, and treatment planning and intervention (e.g., transplantation, surgical resection, radiotherapy, PVE, embolization, etc). Thus, segmentation methods could potentially impact the diagnosis and treatment outcomes. This paper comprehensively reviews the literature (during the year 2012–2021) for relevant segmentation methods and proposes a broad categorization based on their clinical utility (i.e., surgical and radiological interventions) in HCC. The categorization is based on the parameters such as precision, accuracy, and automation.

Background: Adolescence is a transition period of advancement from a state of immature sexual characteristics to sexual and reproductive maturity; an improvement in the mental form progressing to the mental maturity of a grown-up adult; and a period of transition from total socioeconomic dependence to relative independence. An adolescent is defined as a person aged between 10 and 19 years. This study assessed the level and determinant factors of knowledge, attitude, and practice of risky sexual behavior among secondary school adolescents in Harar, Eastern Ethiopia, 2022. Methods: A school-based cross-sectional study design was employed. From the total population of adolescents, 387 respondents were sampled. A simple random sampling method was used to select study participants. The data was collected by using a self-administered questionnaire and analyzed using SPSS version 26. Result: Among the participants, 47.3% had good knowledge of risky sexual behavior. 41.9% had a positive attitude toward risky sexual behavior. 36.1% of students had started sexual activity before they reached 18 years old. Out of 9.3% of respondents who have had sexual intercourse, almost 50% of them had multiple partners. Students who live in urban areas were three times (adjusted odds ratio: 3.3, 95% CI: 1.6, 6.6) more likely to have good knowledge about risky sex than their counterparts in rural settings. Conclusion: There is a significant number of risky sexual behaviors, such as having a different sexual partner and having unprotected sex with a non-regular partner. Being female, in urban residence, not having pocket money, and attending parties have significant associations with having good knowledge about risky sex. Harari Regional Educational and Health Bureau should provide repeated tailored information that can specifically address the attitude of the adolescents toward risky sexual behavior using different media, teachers, and school clubs in respect of sexual and reproductive health. The existing adolescent reproductive health program should be strengthened and evaluated to improve the sexual behavior of adolescents.

Background The novel coronavirus disease has emerged as the most pressing global health issue. In women with COVID-19 disease, pregnancy confers a substantial additional risk of morbidity and mortality. Objective This study aimed to assess WHO-recommended COVID-19 prevention practices and determinant factors among pregnant women attending antenatal care during the third wave of COVID-19 in eastern Ethiopia. Methods An Institutional-based cross-sectional study was conducted among 422 pregnant women attending antenatal care in Harar, from October 10 to November 10, 2021. The sample size was proportionally allocated to all healthcare facilities, then the study participants were selected using systematic random sampling. Descriptive summary statistics were done. Logistic regression analyses were computed to identify associations between dependent and independent variables. Variables with a p-value < 0.05 were declared statistically significant. Result Out of 422 pregnant women, 61.6% of them had good WHO Recommended COVID-19 Prevention Practices. Those with age 25–34 years (AOR: 9.7, 95%CI: 4.8, 19.3), age 35–44 years (AOR:4.8, 95%CI: 2.6, 9.03), monthly income > 10,000 ETB (AOR: 9.4, 95%CI: 2.1, 42.1), being a student (AOR: 10, 95%CI: 2.3, 47.1), having a good level of knowledge (AOR: 2.3, 95%CI:1.4, 3.8), and having ≥10 family members (AOR: 0.24, 95%CI: 0.06, 0.9) were found to have a significant association with WHO recommended prevention practice among pregnant women. Conclusion Overall, the WHO-recommended COVID-19 prevention practice among pregnant women attending antenatal care was good, but it needs improvement. In order to improve prevention practices among pregnant women, Harari Regional Health Bureau and other stakeholders should provide repeated, targeted, and tailored information to pregnant women and the community at large through different media.

The Dai-Kou method Dai and Kou (2013), [12] is efficient for solving unconstrained optimization problems. However, its modified variants are quite rare for constrained nonlinear monotone equations. In an attempt to address this, two adaptive versions of the scheme with new and efficient parameter choices are presented in this paper. The schemes are obtained by analyzing eigenvalues of a modified Dai-Kou iteration matrix and constructing two new directions, which are used in the scheme's algorithms. The new methods are derivative-free, which is an attribute required for handling problems with very large dimensions. Both methods also satisfy the required condition for analyzing global convergence in the literature. By applying mild conditions, it is shown that the schemes are globally convergent and description of their effectiveness is achieved through experiments with four effective schemes for solving constrained nonlinear monotone equations. Furthermore, the methods are applied to recover images that are contaminated by impulse noise in compressed sensing.

Objective: The pandemic of coronavirus disease 2019 (COVID-19) is a major threat to community health, and vaccinations are a safe and effective way to reduce disease loads around the world. This study aimed to assess the age and gender disparity in adverse effects following the first dose of the AstraZeneca COVID-19 vaccine among the vaccinated population in Eastern Ethiopia. Methods: A community-based cross-sectional study design was conducted among 832 randomly selected individuals from December 1st to 20th, 2021, in eastern Ethiopia. Data were collected by face-to-face interviews using a pretested structured questionnaire. Data were analyzed using the SPSS V26. Descriptive summary statistics were done. A chi-square test statistic was computed to assess the difference in adverse effects between age groups and both genders. Result: Out of 832 study participants who had taken the first dose of AstraZeneca vaccine, 96.3% of them felt at least one adverse effect. The magnitude of adverse reactions was higher among male participants. The reported adverse reactions were significantly higher in the age group of 50–60 years with comorbidity than those of 60 years of age. Conclusion: Overall, there is a significant age and gender difference in adverse effects following the first dose of the AstraZeneca COVID-19 vaccine. In addition, adverse reactions were higher among people with comorbidity in the age group of 50–60 years. The Harari Regional Health Bureau should provide training for frontline healthcare workers on early recognition and response to adverse effects of the COVID-19 vaccine. In addition, information and education should be provided to the community as a whole regarding recognition and the appropriate measures to be taken.

In this paper, a new hybrid conjugate gradient method for solving monotone nonlinear equations is introduced. The scheme is a combination of the Fletcher-Reeves (FR) and Polak-Ribiére-Polyak (PRP) conjugate gradient methods with the Solodov and Svaiter projection strategy. Using suitable assumptions, the global convergence of the scheme with monotone line search is provided. Lastly, a numerical experiment was used to enumerate the suitability of the proposed scheme for large-scale problems.

Background Vaccines are an effective and ideal solution that can reduce the burden of disease worldwide. Although vaccines are the most effective way to prevent infectious diseases. Anti-vaccine conspiracy theories impair vaccination acceptance intentions. Several studies were conducted in East Africa. However, these studies had reported inconsistent findings. Therefore, this systematic review aimed to pool the prevalence of COVID-19 vaccine acceptance and identify its determinants. Methods PubMed, Google Scholar, and GLOBAL HEALTH databases were used to retrieve previously published studies. All papers published in the English language up to February 28, 2022 were included. The result was written and reported according to the PRISMA updated guideline. A random-effect model was used to estimate the pooled prevalence and effect sizes. Heterogeneity was assessed using I 2 test statistics. Publication bias was assessed using funnel plot and egger’s test statistics. Statistical tests result at P-value

We propose a new three-term spectral conjugate gradient method via double direction approach by considering the first direction to be the one proposed by Halilu and Waziri (2018) and the other obtained by extending the direction proposed by Birgin and Mertinez (2001) to three-term spectral conjugate gradient (CG) direction. The propose method generates a descent direction via an inexact line search. The global convergence of the propose algorithm was established under appropriate conditions and numerical experiments on some benchmark test problems demonstrate its efficiency over some existing ones.

Objective: Coronavirus disease is a deadly virus that continues to afflict many countries worldwide. Ethiopia has planned to give vaccines to 20% of the population by March 2022. This study aimed to assess determinants of vaccine uptake and barriers to being vaccinated among first-round eligibles for coronavirus disease vaccination in Harar, eastern Ethiopia. Methods: A community-based cross-sectional study design was conducted among 820 randomly selected coronavirus disease first-round eligible groups in Harar from August 20 to September 15, 2021. Descriptive summary statistics were done. Logistic regression analyses were computed to identify associations between dependent and independent variables. Variables with a p value of 60 years. Being female, being a person with no schooling, being a merchant, being a farmer, and having low coronavirus disease prevention practice was found to be significantly associated with coronavirus disease vaccination. We recommend that the Federal Ministry of Health, Harari Regional Health Bureau, and other concerned stakeholders should work more diligently to provide continued campaigning on coronavirus disease vaccination and better vaccine awareness creation, as this is the only way out of this epidemic.

Amir Mohammed Yusuf,1 Neil Abdurashid Ibrahim21Department of Public Health, Harar Health Science College, Harar, Ethiopia; 2Department of Midwifery, College of Medicine and Health Science, Dire Dawa University, Dire Dawa, EthiopiaBackground: The Ethiopian national strategy for the prevention, control and elimination of malaria is one of the Health Development Programs (HDP IV). Dengue fever is one of the vector borne diseases that causes Acute Febrile Illness and death in tropical and sub-tropical countries. Knowledge, attitude and practice of health-care professionals towards dengue fever prevention and associated factors among health professionals is not yet well known across the country and concern is varied in context and place. Therefore, the aim of this research was to assess knowledge, attitude and practice towards dengue fever prevention and associated factors among public health sector health-care professionals in Dire Dawa administrative city, eastern Ethiopia.Materials and methods: An Institution-based cross sectional study was conducted from September 9 to October 13, 2017. The study was conducted among a sample of 348 health-care professionals which were from the randomly selected nine clusters of public health facilities located in urban and rural areas of Dire Dawa. Data were collected by self-administered structured questionnaire. Bivariate and multinomial logistic regression analyses were made to check the associations among predictor variables and to control for confounding factors. A P-value

Considerable efforts have been directed towards development of nano-structured carriers to overcome the limitations of anticancer drug, doxorubicin’s, delivery to various cancer sites. The drug’s severe toxicity to cardio and hepatic systems, low therapeutic outcomes, inappropriate dose–demands, metastatic and general resistance, together with non-selectivity of the drug have led to the development of superparamagnetic iron oxide nanoparticles (SPIONs)-based drug delivery modules. Nano-scale polymeric co-encapsulation of the drug, doxorubicin, with SPIONs, the SPIONs surface end-groups’ cappings with small molecular entities, as well as structural modifications of the SPIONs’ surface-located functional end-groups, to attach the doxorubicin, have been achieved through chemical bonding by conjugation and cross-linking of natural and synthetic polymers, attachments of SPIONs made directly to the non-polymeric entities, and attachments made through mediation of molecular-spacer as well as non-spacer mediated attachments of several types of chemical entities, together with the physico-chemical bondings of the moieties, e.g., peptides, proteins, antibodies, antigens, aptamers, glycoproteins, and enzymes, etc. to the SPIONs which are capable of targeting multiple kinds of cancerous sites, have provided stable and functional SPIONs–based nano-carriers suitable for the systemic, and in vitro deliveries, together with being suitable for other biomedical/biotechnical applications. Together with the SPIONs inherent properties, and ability to respond to magnetic resonance, fluorescence-directed, dual-module, and molecular-level tumor imaging; as well as multi-modular cancer cell targeting; magnetic-field-inducible drug-elution capacity, and the SPIONs’ magnetometry-led feasibility to reach cancer action sites have made sensing, imaging, and drug and other payloads deliveries to cancerous sites for cancer treatment a viable option. Innovations in the preparation of SPIONs-based delivery modules, as biocompatible carriers; development of delivery route modalities; approaches to enhancing their drug delivery-cum-bioavailability have explicitly established the SPIONs’ versatility for oncological theranostics and imaging. The current review outlines the development of various SPIONs-based nano-carriers for targeted doxorubicin delivery to different cancer sites through multiple methods, modalities, and materials, wherein high-potential nano-structured platforms have been conceptualized, developed, and tested for, both, in vivo and in vitro conditions. The current state of the knowledge in this arena have provided definite dose-control, site-specificity, stability, transport feasibility, and effective onsite drug de-loading, however, with certain limitations, and these shortcomings have opened the field for further advancements by identifying the bottlenecks, suggestive and plausible remediation, as well as more clear directions for future development.

Understanding the structure of chromatin in chromosomes during normal and diseased state of cells is still one of the key challenges in structural biology. Using DAPI staining alone together with Fluorescence lifetime imaging (FLIM), the environment of chromatin in chromosomes can be explored. Fluorescence lifetime can be used to probe the environment of a fluorophore such as energy transfer, pH and viscosity. Multicolor FISH (M-FISH) is a technique that allows individual chromosome identification, classification as well as assessment of the entire genome. Here we describe a combined approach using DAPI as a DNA environment sensor together with FLIM and M-FISH to understand the nanometer structure of all 46 chromosomes in the nucleus covering the entire human genome at the single cell level. Upon DAPI binding to DNA minor groove followed by fluorescence lifetime measurement and imaging by multiphoton excitation, structural differences in the chromosomes can be studied and observed. This manuscript provides a blow by blow account of the protocol required to perform M-FISH-FLIM of whole chromosomes.

Objective: The study was carried out to analyze the various phytochemical properties and to determine the in-vitro antimicrobial activity of Parkia biglobosa methanolic leaf extract against Methicillin-Resistant Staphylococcus aureus (MRSA). Materials and methods: The phytochemical screening and Thin Layer Chromatography (TLC) of the methanol extract were conducted using standard methods. The antimicrobial activity of the P. biglobosa methanolic leaf extract on sheep and human MRSA isolates was investigated by disc diffusion method. The extract was tested at different concentrations of 100, 200 and 400 mg/mL and norfloxacin (10 µg) as control. The MIC/MBC were determined by serial dilution method in broth media. Results: the phytochemical analysis showed the presence of alkaloid, saponins, tannins, cardiac glycosides, flavonoids and terpenoids while TLC result revealed 5 spots with retention factor (Rf) values of 0.14, 0.34, 0.42, 0.56 and 0.66 depicting different component using methanol and chloroform at the ratio of 4:1 as solvent system. The diameter of inhibition zone (DIZ) of the extract on MRSA isolates cultured on agar plate revealed a dose dependent response. The extract had the highest DIZ average replicate value of 20.66±1.76 against human MRSA isolates and 20.66±1.20 was recorded as highest DIZ on the sheep MRSA isolates. Norfloxacin had the highest DIZ of 20.33±0.57 on sheep MRSA isolates and 20.33±1.52 DIZ against human isolates. MIC/MBC revealed the highest values of 6.25 mg/mL/12.5 mg/mL for both sheep and human MRSA isolates. Conclusion: The susceptibility test of crude methanol extract of P. biglobosa leaf has revealed activity against MRSA. Thereby, attesting to the folkloric claim of using P. biglobosa for ethno-therapeutic purposes against infectious diseases in Nigeria and other places. [J Adv Vet Anim Res 2018; 5(2.000): 173-181]

OBJECTIVES: The aim of this study was to sonographically measure and compare the pronator quadratus muscle thickness (PQMT) in apparently healthy volunteers between two occupational groups and to assess the influence of hand dominance on the PQMT. METHODS: A total of 180 apparently healthy volunteers were enrolled in the study. The volunteers were grouped into repetitive (90) and nonrepetitive (90) workgroups. They were scanned with a B-mode ultrasound machine and linear transducer. RESULTS: The mean PQMT was significantly higher (P < 0.05) in the repetitive workgroup than in nonrepetitive workgroups. Similarly, a significant difference in mean PQMT was observed between dominant and nondominant hands in the repetitive workgroups (P < 0.05). CONCLUSION: The mean PQMT among repetitive workgroup is significantly higher when compared with nonrepetitive workgroups in the study area.

Objective: This study was designed to investigate the seroprevalence of Chicken Infectious Anemia Virus (CIAV) among selected poultry species in Maiduguri, Nigeria. Materials and method: ELISA kit (X-Ovo FlockscreenTM, Cat. No.V085 5 plates. February, 2014 - Xnew kit format), Chicken serum, enzyme conjugate reagent, adhesive cover, wash buffer, substrate reagent, stop solution. Serum samples from village chickens, broilers, layers, ducks, turkeys and geese in Maiduguri were tested for CIAV antibodies using Enzyme Linked Immunosorbent Assay (ELISA) as per the manufacturers protocols at the Viral Research Laboratory, Faculty of Veterinary Medicine, University of Maiduguri, Nigeria. The results were presented in simple percentages, bar charts and analyzed using SPSS Version 16 software. Results: Out of 944 sera from different species of poultry tested, an overall seroprevalence of 38.5% (n=363/944) was recorded in this study. The species distribution showed village chickens had 41.4% (n=166/944) prevalence, layers with 23.0% (n=12/52), broilers 46.6% (n=146/313), turkeys 23.6% (n=30/127), ducks 13.7% (n=4/29) and geese 22.7% (n=5/22) prevalence for CIAV antibodies. Conclusion: The result of this study shows that CIAV infection is present among different poultry species in the study area and therefore highlight the need for continuous surveillance so as to control further spread of the virus. [J Adv Vet Anim Res 2017; 4(4.000): 385-389]

Biomphalaria glabrata is a fresh water snail that acts as a host for trematode Schistosoma mansoni that causes intestinal infection in human. This work describes the genome and transcriptome analyses from 12 different tissues of B glabrata, and identify genes for snail behavior and evolution.

Background: Sonographic measurement of the median nerve has been proposed as a useful alternative to the electrodiagnostic test in the diagnosis of the carpal tunnel syndrome because of its ability to reveal morphological changes. Objective: The objective of this study was to investigate the influence of occupation, gender, and hand dominance on the median nerve cross-sectional area (MNCSA). Methodology: One hundred and eighty apparently healthy volunteers were recruited for the study. Hand dominance was ascertained in all volunteers. The device used was Voluson P8 ultrasound system with a 12-MHz transducer, using custom preset for musculoskeletal ultrasound. The Anteroposterior (D1) and transverse (D2) diameters of the median nerve were taken bilaterally at the level of the pisiform bone at the anterior surface of the wrist joint. Using these values, the MNCSA was calculated using the ellipse Formula. Results: The volunteers were divided into repetitive and nonrepetitive groups. The MNCSA was significantly higher (P < 0.05) in the repetitive work group than in nonrepetitive work groups. Similarly, a significant difference in mean MNCSA was noted between male and female volunteers in both groups. Again, a significant difference in mean MNCSA was observed in dominant and nondominant hands in the repetitive work group (P < 0.05). However, there was no significant difference in mean MNCSA in the nonrepetitive work groups (P < 0.05). Interpretation and Conclusion: A statistically significant difference in MNCSA was detected between repetitive and nonrepetitive work groups, male and female gender as well as in dominant and nondominant hands. Occupation, hand dominance, and gender, therefore, affect the cross-sectional area of the median nerve.

This paper discusses Islamic financial reporting system as practiced in many Islamic states for economic development. The issue of Islamic accounting among scholars provided evidence of economic benefits among the countries that have Islamic financial institutions (IFIs). The IFIs have been reported to be the fastest-growing sector in the world with a greater contribution of the global total bank assets. Although the Muslim population in Nigeria is large, the contribution or participation of Muslim towards IFIs is low compared to other countries like Bahrain, Saudi Arabia, Pakistan, and Syria. Furthermore, the accounting reporting in Nigeria is based on the International Financial Reporting Standards (IFRS) for all listed firms in Nigeria, which includes IFIs, even though, IFIs apply dual reporting. Therefore, the need for the mandatory adoption of Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) standards is significant in Nigerian for IFIs to function better. Several countries have made it mandatory for IFIs to adopt AAOIFI instead of IFRS. The need for IFIs firms to report on their accounting system as an alternative to the conventional, will not only enhance transparency, improve reporting disclosures, greater Muslim investors, but will also improve Nigerian stock market. Policy makers, governments, and the regulator should make it mandatory for all IFIs to adopt AAOIFI for financial reporting.

The objectives of this paper were to identify and describe husbandry practices, herd structure, owners’ trait preferences, breeding practices, and production constraints of camel in the two major camel rearing pastoral communities, viz. Afar and Somali, to generate baseline information that would help to plan possible breed improvement strategies and options for the different camel populations. The study sites were selected purposively while households from each of the sites randomly. Data were collected using formal questionnaires and focus group discussion. Results showed that average camel population per household was higher in Mille (28.06±2.27), Gode (27.51±2.02), and Moyale (24.07±2.13) districts. Female camel populations with age of >1 year contributes 78-83% of the total camel herd population in all the study districts. Higher number of female animals in the herd in the arid environment means providing continuous supply of milk and allows a rapid recovery of herd numbers after a disease outbreak or drought occurrence. This shows that pastoralists breeding objectives are in relation to the arid environment and female population in the herd. Most of the pastoral communities utilize a single breeding male camel per 40-50 female camels and this will affect productivity and heterogeneity of camel population. With regard to trait preference, all pastoral communities ranked milk yield as the first trait of choice, except Liben district in which adaptation trait was the primary preference. Growth trait ranked second in Mille, Gode, Liben, and Jijiga pastoral communities where as adaptation trait ranked second in Amibara and Shinille pastoral communities. The major camel production constraints were feed, diseases, and lack of water in that order and the major cause of the constraints was the recurrent drought occurred during the past 2-3 decades in the two regions. Therefore, in planning and implementation of the breeding strategies for small holder camel population breeding program, besides improving some of the traditional practices, the indigenous knowledge of the pastoralists and trait of choice should be considered in order to effectively increase the productivity and satisfy the need of the society.

The high-order structure of human chromosomes is an important biological question that is still under investigation. Studies have been done on imaging human mitotic chromosomes using mostly 2-D microscopy methods. To image micron-sized human chromosomes in 3-D, we developed a procedure for preparing samples for serial block-face scanning electron microscopy (SBFSEM). Polyamine chromosomes are first separated using a simple filtration method and then stained with heavy metal. We show that the DNA-specific platinum blue provides higher contrast than osmium tetroxide. A two-step procedure for embedding chromosomes in resin is then used to concentrate the chromosome samples. After stacking the SBFSEM images, a familiar X-shaped chromosome was observed in 3-D.

An inventory of medicinal species diversity in the flora of the Kingdom of Saudi Arabia has been made for 15 angiosperm families, viz., Boraginaceae, Convolvulaceae, Cucurbitaceae, Fabaceae, Molluginaceae, Papavaraceae, Portulacaceae, Ranunculaceae, Rhamnaceae, Rutaceae, Tamaricaceae, Tiliaceae, Urticaceae, Verbenaceae and Vitaceae, and 61 species of medicinal plants are recognized. These families are represented in the flora by a total of 393 species of which 15.52% are medicinal. Among the families, the Fabaceae is found to be represented by 23 medicinal species which is highest and 37.70% of the total species. Of these 61 medicinal species, 72.13% exhibits herbaceous life form while remaining 13.11% and 14.75% exhibit shrubs and trees respectively. An enumeration of these medicinal species is presented, each with current nomenclature, Arabic name, English name, medicinal uses, pharmacological properties and status of occurrence in the flora. The communication is aimed at emphasizing the planning and implementation of national conservation strategies for sustainable management of the medicinal plants of the Kingdom of Saudi Arabia. DOI: http://dx.doi.org/10.3126/ije.v3i3.11091 International Journal of Environment Vol.3(3) 2014: 312-320

Fibroblast cells grown in electrospun polymer scaffolds were stained with platinum blue, a heavy metal stain, and imaged using scanning electron microscopy. Good contrast on the cells was achieved compared with samples that were gold sputter coated. The cell morphology could be clearly observed, and the cells could be distinguished from the scaffold fibers. Here we optimized the required concentration of platinum blue for imaging cells grown in scaffolds and show that a higher concentration causes platinum aggregation. Overall, platinum blue is a useful stain for imaging cells because of its enhanced contrast using scanning electron microscopy (SEM). In the future it would be useful to investigate cell growth and morphology using three-dimensional imaging methods.

Here we present a simple method for cleaning polyamine human mitotic chromosomes in solution. This was achieved by filtering intact (unburst) nuclei along with both large and small cytoplasmic debris through a series of different pore sized filters. Pure human chromosomes were recovered using a simple reverse filtration step. Fluorescence microscopy was used to validate the chromosome suspension after each filtration step. This reverse filtration technique is an improvement in both procedure time and chromosome recovery compared to currently used post-purification methods. Chromosomes purified by our method could be used for many applications, such as structural studies using microfluidics and high resolution imaging or generation of chromosome paints and sequencing after flow cytometry.

The chemical composition of the leaf oils of Murraya koenigii (L.) Spreng and M. paniculata (L.) Jack from Bangladesh was studied by gas chromatography mass spectroscopy (GC-MS). M. koenigii oil contained 39 compounds of which the major is 3-carene (54.2%) followed by caryophyllene (9.5%). Oil of M. paniculata contained 58 compounds of which the major are caryophyllene oxide (16.6%), beta-caryophyllene (11.8%), spathulenol (10.2%), beta-elemene (8.9%), germacrene D (6.9%) and cyclooctene, 4-methylene-6-(1-propenylidene) (6.4%). The composi-tions of both oils varied qualitatively and quantitatively.