Miracle-dz/UniFAR-FTUs huggingface dataset:
The Implementation and Challenges of BPR in Ethiopia, in Case of Bahir Dar Revenue and Custom Authority

This study was conducted in Bahir Dar City Administration Revenue Office with the objective of examine the rationale behind the introduction of Business Process Re engineering (BPR) and examine challenges in implementing BPR and service delivery of Revenue and of Custom Authority of Bahir Dar. To accomplish its objective, the study employed both quantitative and qualitative approaches. Then 200 customers were selected by using accidental and convenient sampling techniques.22 employees of Revenue Office were included in the study. In addition the manager of the revenue office was also selected in the study for interviewing by using purposive sampling technique. Questionnaire was the main instrument of data collection. Interview, document analysis and observation were also utilized to validate the data gained through the questionnaire. Descriptive statistics (frequency and percentage) were, utilized to analyze the quantitative data. The qualitative data on the other hand was analyzed by using narration. The results of the study revealed that the after BPR implementation there is improvement in the service delivery butlack of awareness among employees, lack of adequate infrastructure and poor communication of top managers are the major challenges that lead BPR fail in the office. Therefore, it is recommended that Thus, Bahir Dar City Administration and Revenue Office should assess its capacity and increase the numbers of skillful employees’. Before implementing new management tools the organization should create awareness to its employees as long as they are major success factors and develop IT infrastructure development.
Food process ontology requirements

People often value the sensual, celebratory, and health aspects of food, but behind this experience exists many other value-laden agricultural production, distribution, manufacturing, and physiological processes that support or undermine a healthy population and a sustainable future. The complexity of such processes is evident in both every-day food preparation of recipes and in industrial food manufacturing, packaging and storage, each of which depends critically on human or machine agents, chemical or organismal ingredient references, and the explicit instructions and implicit procedures held in formulations or recipes. An integrated ontology landscape does not yet exist to cover all the entities at work in this farm to fork journey. It seems necessary to construct such a vision by reusing expert-curated fit-to-purpose ontology subdomains and their relationship, material, and more abstract organization and role entities. The challenge is to make this merger be, by analogy, one language, rather than nouns and verbs from a dozen or more dialects which cannot be used directly in statements about some aspect of the farm to fork journey without expensive translation or substantial dialect education in order to understand a particular text or domain of knowledge. This work focuses on the ontology components – object and data properties and annotations – needed to model food processes or more general process modelling within the context of the Open Biological and Biomedical Ontology Foundry and congruent ontologies. Ideally these components can be brought together in a general process ontology that can be specialized not only for the food domain but for carrying out other protocols as well. Many operations involved in food identification, preparation, transportation and storage – shaking, boiling, mixing, freezing, labeling, shipping – are actually common to activities from manufacturing and laboratory work to local or home food preparation.
Virtual Reality Technology as an Educational and Intervention Tool for Children with Autism Spectrum Disorder: Current Perspectives and Future Directions

The worldwide rising trend of autism spectrum disorder (ASD) calls for innovative and efficacious techniques for assessment and treatment. Virtual reality (VR) technology gains theoretical support from rehabilitation and pedagogical theories and offers a variety of capabilities in educational and interventional contexts with affordable products. VR is attracting increasing attention in the medical and healthcare industry, as it provides fully interactive three-dimensional simulations of real-world settings and social situations, which are particularly suitable for cognitive and performance training, including social and interaction skills. This review article offers a summary of current perspectives and evidence-based VR applications for children with ASD, with a primary focus on social communication, including social functioning, emotion recognition, and speech and language. Technology- and design-related limitations, as well as disputes over the application of VR to autism research and therapy, are discussed, and future directions of this emerging field are highlighted with regards to application expansion and improvement, technology enhancement, linguistic diversity, and the development of theoretical models and brain-based research.
Towards Explainable Relational Boosting via Propositionalization

Many problems can be modeled by using relational structures, such as graphs or relational databases. Propositionalization refers to the process of transforming a relational database into a propositional (tabular) representation, suitable for a wide repertoire of machine learning algorithms, including contemporary black-box classiﬁers such as deep neural networks or ensemble-based classiﬁers such as Gradient boosted tree ensembles. Even though such black-box classiﬁers often outperform symbolic learners, their results are hard to interpret by humans. This paper explores the means to improve black-box classiﬁer interpretability in a relational setting. To this end, we conducted a series of experiments to evaluate how relational features, constructed using Aleph, RSD and Tertius propositionalization algorithms, impact the interpretability and performance of black-box classiﬁers such as Gradient boosted tree ensembles. We show how improved interpretability can be achieved by combining XGBoost with SHAP, an algorithm that leverages the ideas from coalitional game theory to assign importance scores to the obtained relational features, oﬀering both the state-of-the-art performance as well as insights into the feature impacting individual predictions.
Correlation of Salivary Troponin I among High Risk Patients of Myocardial Infraction

Cardiovascular disease is the major complication of systemic illness like diabetes mellitus, hypertension, hypercholesterolemia and leading cause of death globally. According to Framingham study, silent myocardial infraction is higher in diabetic patients than others. Salivaomics has emerged as a new branch of diagnostics paving way for early detection of diseases. The aim of the study is to quantify and compare the Salivary Troponin I among normal, high risk patients of myocardial infractions and post myocardial infract patients. Materials and Methods-The study included 30 individuals divided into three groups. Group I consisted of 10 normal participants, Group II consisted of 15 patients of chronic systemic illness like type 2 diabetes mellitus (T2DM) and hypertension and Group III consisted of 15 post myocardial infract patients (both T2DM and hypertension) who were under anticoagulant therapy at Mahatma Gandhi post graduate institute of dental science, Puducherry. Un stimulated saliva was collected and subjected to estimation of salivary troponin I using ELISA. Result: The mean salivary troponin I levels in group I, II and III were 0.08pg/ml, 0.85pg/ml and 0.22pg/ml respectively. Correlation of salivary cardiac troponin I levels and random blood sugar was highly significant with a ‘p’ value of 0.001 in group II and 0.003 in group III . Conclusion: The salivary cardiac troponin I was increased in patients who are at high risk of developing cardiac events in the future (group II) when compared to the other groups. Serial salivary cardiac troponin I testing can reduce the morbidity and mortality in patients with chronic systemic illness.
Detecting and Resolving PFC Deadlocks with ITSY Entirely in the Data Plane

The Priority-based Flow Control (PFC) protocol is adopted to guarantee zero packet loss in many high-performance data centers. PFC, however, can induce deadlocks and in severe cases cause the entire network to be blocked. Existing solutions have focused on deadlock avoidance; unfortunately, they are not foolproof. Therefore, deadlock detection is a necessity. We propose ITSY, a novel system that correctly detects and resolves deadlocks entirely in the data plane. It works with any network topologies and routing algorithms. Unique to ITSY is the use of deadlock initial triggers, which contributes to efficient deadlock detection, mitigation, and recurrence prevention. ITSY provides three deadlock resolution mechanisms with different trade-off options. We implement ITSY for programmable switches in the P4 language. Experiments show that ITSY detects and resolves deadlocks rapidly with minimal overheads.
Phytoremediation of Municipal Solid Waste Landfill Site: A Review

Phytoremediation, collectively referring to all spe cies-based technologies using green plants to remediate and re habilitate municipal solid waste landfill sites, has emerged a s a potential candidate. Phytoextraction using hyper accumulating plants is seen as a promising technique; a lack of understand ing of the basic physiological, biochemical, and molecular mechanisms involved in the removal of heavy metal from environment. The discovery of hyper accumulator plants, which contain high levels of heavy metals that would be highly toxic to other plants, prompted the idea of using certain plant species to extract meta ls from the soil and, in the process, clean up soil for other less t olerant plants. Among the techniques used to cleanup affected sites , Phytoremediation has recently emerged as a new, cost-effective, environment-friendly alternative. After a short int roduction to the types of plant-based cleanup techniques, this revie w focuses on metal hyperaccumulator plants and their potential u se in phytoextraction technology. Research and development activities relating to different aspects of phytoremediation a re keeping the interest of scientists and engineers alive and enri ching the literature. Being a subject of multi-disciplinary i nterest, findings of phytoremediation research has resulted in genera tion of enormous data. Collating data from such diverse sou rces would help understand the dynamics and dimensions of dumpsite
CACIÓN DE TAREAS Y UN LUGAR PARA EL DESARROLLO DE LA PERSONA- LIDAD DEL ESTUDIANTE SPECIFICATION OF TASKS AND A PLACE FOR THE DEVELOPMENT OF THE STUDENT’S PERSONALITY GUIDELINES FOR LESSON PLANNING,

The education has been a topic of special interest for scientists during centuries, and this is not accidental, because learning is one of the activities that characterize human beings. Educators, psychologists and other professionals have investigated during centuries to develop, organize and optimize the methods, tools and teaching procedures, but as any other system this should be seen holistically. By means of a bibliographical research and observation it was found that until present many professors present difficulties for the precise delimitation of the learning objectives, being this a factor that hinders the learning process of students. For this reason, the objective of this article is to offer some recommendations to facilitate the work of the educators aiming at ultimately to improve the educational process.
A criticism on the suitability of using the value chain model for the motion-picture industry: a UK low-budget independent film perspective

Despite its long-established use in business assessment, the ‘value chain model’ has only recently been applied to the motion-picture industry. Although this research has proved useful in opening the ‘film value’ discourse, the timing of its arrival and the nature in which it has been used highlight inherent framework-design limitations when attempting pure ‘Porteresque’ analysis on certain areas of the feature-film industry. These limitations relate to using the model in industry-wide analysis, measuring customer value and the non-monetary priorities of particular filmmakers. Bearing in mind that the original purpose and design of the value chain model is to facilitate corporate strategy selection through the identification of competitive advantages, these limitations suggest that certain film industry sectors might be better served through the use of other process-assessment models, such as a ‘supply chain’ framework. Therefore, this study weighs up the suitability of the value chain model in film industry analysis by first contextualising the contributing factors that have led to its recent use, how it is designed, what is its purpose and previous film value chain research. The limitations of value chain are then described through a comparison of the United Kingdom’s lowbudget film sector with other US-studio financed and independent film sectors. The study ends with a number of conclusions and suggestions for further media-business academic research.
Cellular decompositions and Chebyshev interpolants for real algebraic curves

A cellular decomposition of a real algebraic curve consists of a collection of vertices and edges which have a smooth interior. A numerical cellular decomposition represents an edge via one interior point and a homotopy that permits tracking along the edge. This homotopy yields a parameterization of the edge that can be used for performing various operations such as membership testing, computing winding numbers at each boundary vertex, and generating sample points. By combining numerical cellular decomposition with Chebyshev interpolants along each edge, we develop an approach that can efficiently perform computations such as optimizing an analytic or nonanalytic function over real algebraic curves. Examples utilizing Bertini real to compute a numerical cellular decomposition and Chebfun to compute Chebyshev interpolants are provided.
A Study of Hematological Parameters along with CD 4, CD 8, CD 19 and CD16+CD 56 Lymphocyte Counts in COVID-19 Positive Patients

Coronavirus disease (COVID-19) is a novel disease with world wide spread and varied clinical presentation. Studies are required to understand the pathogenesis of the virus and diagnostic parameters useful in diagnosing and predicting the prognosis of the disease. Aims & Objectives: Our Aim was to evaluate various hematological parameters in patients with mild and moderate/severe disease. Materials & Methods: COVID-19 positive patients are grouped into mild and moderate/severe categories based on the symptoms. Their blood samples were analysed for TWBC, ANC, ALC, RNC, RLC, PLT, CD4, CD 8, CD19 and CD56 cell counts and statistically analysed for P value. Results: A total of 100 patients, 50 mild and 50 with severe symptoms were included in the study. Severe cases had lymphocytopenia with reduced CD4 and CD56 counts. TWBC, ANC, ALC, RNC, RLC, CD4, and CD16+CD56counts showed significant P value. whereas PLT,CD8 and CD19 were not significant. Conclusion: COVID-19 impairs immune system by reducing the lymphocyte counts. This effect is more in severe cases causing tissue damage. Diagnosing the disease at an early stage would help in early intervention and better recovery of the patients. Hence the above hematological parameters can be prognostic indicators of COVID-19 positive patients.
Solving Capacitated Vehicle Routing Problem by an Improved Genetic Algorithm with Fuzzy C-Means Clustering

Aiming at solving the vehicle routing problem, an improved genetic algorithm based on fuzzy C-means clustering (FCM) is proposed to solve the vehicle routing problem with capacity constraints. On the basis of genetic algorithm, the FCM algorithm is used to decompose the large-scale vehicle routing optimization problem into small-scale subproblems, which can effectively improve the efficiency of the algorithm. At the same time, a generation method of the initial solution to CVRP problem is designed. The improved algorithm has good robustness and can also reduce the possibility of falling into local optimization in the search process. Finally, a simulation example is provided to verify the efficiency and superiority of the proposed algorithm.
Lifelong Learning with Branching Experts (Appendix)

Recall that based on the ε-cover assumption, for any expert i, his true loss `τ,i at step τ differs from the surrogate loss ̄̀τ,i = `τ,πτ+1(i) by at most ε. As our algorithm computes the probability of playing expert i at a later step t based on such a loss ̄̀τ,i instead of `τ,i, it is simpler to use ̄̀τ,i as a surrogate loss for expert i at step τ and bound a surrogate regret in terms of such surrogate losses, which we will do in the following. It is straightforward to see that the true regret is only larger by at most 2εT . Let us divide the T time steps into M consecutive intervals I1, I2, . , IM , such that the set of experts grows at the start but remains the same within each interval. For an interval Im, let Im = [am, bm], so that a1 = 1, bM = T , and am+1 = bm + 1 for 1 ≤ m ≤M − 1. Note that the regret in each interval Im can be bounded using standard approaches for the nonbranching case. Here, we follow that in Section 2.5 of (Bubeck, 2011) for Hedge algorithm with time-varying learning rates. Consider any interval Im. For any t ∈ Im, let
The Effect of Sterilization on Vitamin D Levels in Male and Female Rats

Sterilization is an operation that can prevent reproduction and is useful as a treatment. Sterilization is done by removing the reproductive organs, in males it is called orchiectomy and in females it is called ovariohysterectomy which causes a decrease in the production of reproductive hormones. Previous studies have proven a physiologic relationship between reproductive hormones and vitamin D activation, but there is no information on the effect of sterilization on vitamin D levels. This study aimed to determine the effect of sterilization on vitamin D levels. This study was experimental with a PosttestOnly Control Group design. design. A total of 24 wistar rats consisting of 12 male rats and 12 female rats and each were divided into two groups, 6 female rats sterilized (ovariohysterectomy), 6 female rats non-sterilized, 6 male rats sterilized (orchiectomy) and 6 male rats non-sterilized. -sterilization. Wistar rats that were 10 weeks old were transferred to their respective cages and given regular feed to all groups of rats for 7 days as an adaptation process, after which sterilization was carried out in the sterilization group. After 6 weeks post-treatment, the rats were 17 weeks old and then blood was taken for examination of Vitamin D levels using the elisa method which was carried out at Hum-Rc Hasanuddin University Hospital. The results showed that the mean value of vitamin D levels in the ovariohysterectomy group was lower than in the non-sterilized group and was significant (MannWithney, p<0.05). The orchiectomy group was also lower than in the non-sterlized group and not significant (Independent T test, p> 0.05). It can be concluded that sterilization can reduce vitamin D levels in pets.
The XXL Survey

Context. We present an estimation of cosmological parameters with clusters of galaxies. Aims. We constrain the Ωm, σ8, and w parameters from a stand-alone sample of X-ray clusters detected in the 50 deg2 XMM-XXL survey with a well-defined selection function. Methods. We analyse the redshift distribution of a sample comprising 178 high signal-to-noise ratio clusters out to a redshift of unity. The cluster sample scaling relations are determined in a self-consistent manner. Results. In a lambda cold dark matter (ΛCDM) model, the cosmology favoured by the XXL clusters compares well with results derived from the Planck Sunyaev-Zel’dovich clusters for a totally different sample (mass/redshift range, selection biases, and scaling relations). However, with this preliminary sample and current mass calibration uncertainty, we find no inconsistency with the Planck CMB cosmology. If we relax the w parameter, the Planck CMB uncertainties increase by a factor of ~10 and become comparable with those from XXL clusters. Combining the two probes allows us to put constraints on Ωm = 0.316 ± 0.060, σ8 = 0.814 ± 0.054, and w = −1.02 ± 0.20. Conclusions. This first self-consistent cosmological analysis of a sample of serendipitous XMM clusters already provides interesting insights into the constraining power of the XXL survey. Subsequent analysis will use a larger sample extending to lower confidence detections and include additional observable information, potentially improving posterior uncertainties by roughly a factor of 3.
SUERF Policy Brief No 257 , January 2022 Why do households save ?

This paper examines whether the determinants of household saving have changed over time and whether they are the same across countries. Using a cross-country data for 34 OECD countries for the 1970-2019, we find that old saving rate specifications still perform strikingly well and can explain the recent changes in household saving rates. As for the cross-country differences in equilibrium saving rates, we have less success even though the basic estimating equations fit reasonably well to individual country samples. We found that household saving is still very sensitive to changes in real income growth and inflation. Thus, decline in the household saving rates after the 1980s can mainly be attributed to these variables. Obviously, a decline of real interest rate has also pushed down the saving rate. Moreover, households seem to have reacted to changes in public sector as well as corporate sector saving. SUERF Policy Brief No 257, January 2022
Displacement Control of Prestressed Cable Structures

The method of displacement control of prestressed cable structures is proposed in this paper on the basis of the fundamental theorem of the member system by optimal algorithm.By altering the length of some structural members while keeping the prestress level above a given lower bound without relaxation,the nodal displacements of prestressed cable structure are controlled. This method can be applied to the shape control of precision structures.
Effect of N2 carbonization temperature on porous activated carbon derived from jicama (Pachyrhizus erosus L.) peel as electrode material for supercapacitor

This study presents the different effects of nitrogen carbonization temperature of porous carbon as electrode material based for supercapacitor applications. The precursor origin material as a carbon source is focused on the bio-waste of jicama peel. The precursor is directly chemically activated ZnCl2 followed by high-temperature pyrolysis. This work has been performed with three different carbonization temperatures of 550 °C, 600 °C, and 650 °C. Experimental results show that carbonization at different temperatures causes the formation of different material properties to support the performance of the supercapacitor. The dimensions of the carbon coins display different density values with data trends being degraded after the high-temperature pyrolysis process. In addition, microcrystalline properties were also evaluated by means of the X-ray diffraction technique. The supercapacitor cells were evaluated in two-electrode configurations with an organic membrane as a separator. Electrochemical properties such as specific capacitance, energy density, and power density were thoroughly evaluated through cyclic voltammetry and galvanostatic charge-discharge techniques. The highest specific capacitance was confirmed at 179 F g−1 in a constant current density of 1.0 A g−1. Furthermore, the maximum energy density was found as high as 12.60 Wh kg−1 at the optimum power density of 105.86 Wh kg−1. These results confirm that the carbonization temperature needs to be considered to obtain high-porous activated carbon derived from bio-waste jicama peel for supercapacitor electrode materials.