Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of causes and associated risk factors for lameness in working donkeys in and around Bishoftu

The present study was conducted from November 2014 to April 2015 in and around Bishoftu town to determine causes, associated risk factors and owner's response to causes of lameness for lame donkeys presented to Donkey Health and Welfare Project Clinic. Accordingly, 325 lame donkeys were purposively selected for this study. Questionnaire survey and physical examination were employed as study design. Results of 325 donkey owners interviewed revealed that various causes of lameness. Among these interviewed 222 and 221 respondents has better knowledge about the lameness caused by hyena bites and various wounds respectively, whereas 2, 8 and 41 respondents have information about varies diseases, solar penetration and overloading as a causes of lameness respectively. The current study includes 2 young and 323 adult donkeys. Out of the 325 lame donkeys, 179 were females and the remaining 146 were males. Upon physical examination of all donkeys taken into study, seventeen types of musculoskeletal abnormalities were identified, among these, higher frequency of foreign material in hoof, crackling and hoof overgrowth with 293, 245 and 208 cases respectively. Low frequency of hygroma (3) and bone fracture (8) were also observed. Grade analysis of lame donkeys revealed 3 (0.92%) mild cases, 84 (25.85%) moderate, 234 (72.92%) severe and 1 (0.31%) non-weight bearing cases. Grade three was most frequently observed which appeared in one out of two cases of lameness. The average grade of lameness was 2.72 ± 0.47. There was no statistically significant difference (P>0.05) between the two sexes, body condition scores and age of animals regarding identified abnormalities and grade of lameness. However, the high number of donkeys which had lameness (79.08%) were found with poor body condition scores. Lameness was seen on both front and hind limbs but majority (97.23%) was unilateral type, of which 60% was presented with front limb while 37.5% was with hind limb. Significant difference was observed between front and hind limbs (P<0.05) for occurrence of lameness. Poor husbandry practices and lack of knowledge or information on causes of lameness among owners remain the factor for occurrence and severe grade of lameness.
Influence of Light Intensity on Tobacco Responses to Drought Stress

The influence of high irradiance, drought stress and their cross-talk were explored in tobacco plants (Nicotiana tobaccum) grown under low light (250 μmol m-2 s-1) irradiance (LL) and high (1600 μmol m-2 s-1) irradiance (HL) then exposed to water deficient condition for 7 or 14 days. The detached leaves of HL-treated plants showed less water loss compared to LL plants. The HL-treated and 7 days drought-stressed plants had higher fresh and dry weights, as well as water content than the LL and drought-stressed leaves. The survival rate in 21 days drought-stressed plants after 3 days of re-watering was 50% in HL-grown and 0% in LL-grown plants. A transcriptome profiling analysis of the tobacco responses to light intensity highlights the increased abundance of a large group of drought-related transcripts including DROUGHT-RESPONSIVE ELEMENT BINDING FACTORS (DREBs), C-REPEAT/DROUGHT-RESPONSIVE BINDING FACTOR 1 (CBF1), GLYCINE-RICH RNA BINDING PROTEINS (GRPs), WRKY33 and MYCs transcription factors, as well as zeaxanthin epoxidase, which play as a regulator of plant responses to water deficient condition. These findings identify light-dependent changes in the cell redox state that limit water loss and enhance plant responses to drought stress.
Transformer and inductor design handbook

Fundamentals of Magnetics Magnetic Materials and Their Characteristics Magnetic Cores Window Utilization, Magnet Wire and Insulation Transformer Design Trade-Offs Transformer-Inductor Efficiency, Regulation, and Temperature Rise Power Transformer Design DC Inductor Design, Using Gapped Cores DC Inductor Design, Using Powder Cores AC Inductor Design Constant Voltage Transformer (CVT) Three-Phase Transformer Design Flyback Converters, Transformer Design Forward Converter, Transformer Design, and Output Inductor Design Input Filter Design Current Transformer Design Winding Capacitance and Leakage Inductance Quiet Converter Design Rotary Transformer Design Planar Transformers and Inductors Derivations for the Design Equations Autotransformer Design Common-Mode Inductor Design Series Saturable Reactor Design Self-Saturating, Magnetic Amplifiers Designing Inductors for a Given Resistance
The Wind Engineering Energy and Environment (WindEEE) Dome at Western University, Canada

University of Western Ontario), Canada is a novel three dimensional and time dependent wind testing chamber. It is conceived as a hexagonal chamber of 25 meters in diameter surrounded by a “return circuit” of the same hexagonal shape of 40 meters in diameter, see Figure 1. Its aim is to create a wide variety of wind systems that typical wind tunnels cannot produce (e.g. tornadoes, downburst, all kind of gusts and currents, shear winds and boundary layers, etc.) at large scales and Reynolds numbers.
Comparison of approaches for determining the failure of stiffened cylindrical shells

Abstract : The thesis compares the analytical solution, two marine classification society design rules, and two design guides against experimental results for predicting the failure modes (general instability, axisymmetric buckling, and asymmetric collapse of the shell LOBAR BUCKLING) and failure pressures of ring-stiffened cylinders The analytical solution is first summarized based on several sources. The design rules for the classification societies and the design guidance from two sources are then presented with brief explanations for each one. The design rules used are: American Bureau of Shipping (Rules for Building and Classing Underwater Vehicles, Systems, and Hyperbaric Facilities, 1990) and Germanischer Lloyd (Rules for Underwater Technology, 1988). The design guides used were Society of Naval Architects and Marine Engineers (Submersible Vehicle Systems Design, 1990) and Massachusetts Institute of Technology Course 13A Professional Summer Notes (MIT 13A Submarine Design Trends, 2001). The United States Navy Naval Sea Systems Command, Submarine Structural Integrity Division supplied experimental data for four cylinders that covered the failure modes and allowed comparison between experiment and design rules/guidance. The comparison of experimental to predicted data found that the design codes and design guides performed adequately in predicting axisymmetric yield and asymmetric buckling. The performance of the design codes and guides in predicting failure by general instability was unsatisfactory. For the experimental failures by general instability, the design codes and guides predicted significantly higher failure pressures than those experimentally determined; resulting in the design codes and guides actually predicting failure by axisymmetric yield in stead of general instability. These inconsistencies in the predictions of failure mode and pressures for general instability should be further explored to determine causes and corrections.
Evaluation of the effective mass of the body for helmet impacts

Currently available motorcycle helmet standards employ headforms to assess the impact absorption capability of helmets. The mass and size of the headforms are similar to those of the human head. This fact implies that the standards rely on the assumption that the effect of the rest of the body on the performance of the helmet during impact is negligible. In this study, by using validated finite element (FE) models of a commercially available helmet and of the human body, full-body helmet impacts are simulated. Even within the short duration of the impacts (less than 10 ms), the body interacts with the head, leading to further crushing of the helmet liner. To include this effect in the headform impacts, the mass of the headform is increased. The added mass is determined for various impact configurations. It is found that the added mass is not dependent on the properties of the helmet; thus, it can be adopted by the impact absorption test of standards.
Anaerobic Digestion Models: a Comparative Study

Abstract Based on the adoption of object-oriented modelling and simulation tools, in this paper a comparison between the ADM1 and the AMOCO models is investigated, mainly in order to assess the performance of AMOCO for control design. The ADM1 model has been calibrated with reference to the degradation of waste activated sludge, based on literature data, and assumed as reference model. Then, in order to compare the outputs of the two models, some variables of ADM1 have been lumped to match the relevant aggregated AMOCO variables. Since AMOCO failed in predicting the steady state values relevant to the inorganic carbon species and alkalinity, a new version of it has been developed, accounting for the dynamics of the inorganic nitrogen concentration. Steady-state and dynamic simulations based on this new version showed an improvement with reference to simulations obtained with ADM1.
A Novel Deep Learning Based Intrusion Detection System : Software Defined Network

Over the last few years, Software Defined Networking (SDN) has brought forward a potential software-based networking framework that, with the existing network management system, allows for the network programming to operate alongside the overall network management system. Tracking data to the data centre is more effective with this new method. It prevents security flaws from causing new threats to appear in the network since these vulnerabilities will only reveal themselves at the time of OpenFlow packet transmission via a centralized system and symmetric controller. A study was conducted for a Deep Learning (DL) based approach that is proposed to be implemented on SDN. The Deep Neural Network model is used to monitor network activity for both regular and anomalous data transfer to check for malicious traffic. A dataset of IDS, publicly accessible, KDD-CUP99, NSL-KDD and UNSW-NB15 Dataset are used to determine the possible behaviour of security flaws. The study explores SDN security and IDS about security concerns and also gives a very high and acceptable accuracy rate.
Chronic Kidney Disease Classification Using Machine Learning Classifiers

One of the important health problems is chronic kidney disease (CKD). It is increasing every day as a result of poor eating habits, insufficient water consumption, and lack of health awareness. CKD is a condition in which the kidneys are damaged over time due to a variety of causes, resulting in a progressive and irreversible loss of kidney function. Technological advancements, such as Machine Learning (ML), have a significant influence on the health sector by giving more accurate detection and successful treatment of many chronic diseases. This research paper explores a variety of ML techniques to predict kidney disease. The objective is to identify which ML classifier could be the best classifier for detecting and predicting CKD. In this work, seven ML approaches are used to predict kidney disease, namely, Gaussian Nave Bayes (GNB), Decision Tree (DT), K-Nearest Neighbor (KNN), Random Forest (RF), Logistic Regression (LR), AdaBoost and Gradient Boosting. RF and GNB scored better than the other classifiers, with 100% accuracy.
Design and Simulation of z-folded Stirrer in Reverberation Chambers

The stirrer is the key of the performance of reverberation chambers. The function and working principle of the mechanical stirrer are expounded. In terms of length (of the corresponding modal cell), distance (away from the chamber wall) and angle (between the blades), the paper highlights these experience of the z-folded stirrer. Two z-folded stirrers, related to that of the experience, are designed, and the directions in chamber are vertical and horizontal respectively. In the frequency range of 100 – 500 MHz, electromagnetic simulation software is used to calculate the field uniformity and analyze the influence of the number of z-folded stirrers on the field uniformity in the reverberation chamber, which all implies these experience can be regarded as a guideline for z-folded stirrer.
Wukong+G: Fast and Concurrent RDF Query Processing Using RDMA-assisted GPU Graph Exploration

With the increasing scale of RDF graphs and the concurrency level of SPARQL queries, current RDF systems are confronted with inefficient concurrent query processing on massive data parallelism. The situation becomes more severe in the face of data-intensive queries (aka heavy query), which usually lead to suboptimal response time (latency) as well as throughput collapse. In this article, we present Wukong+G, the first graph-based distributed RDF query processing system that efficiently exploits the hybrid parallelism of CPU and GPU. Wukong+G is made fast and concurrent with four key designs. First, Wukong+G tames massive random memory accesses in graph exploration by efficiently mapping data between CPU and GPU for latency hiding, including a set of techniques like query-aware prefetching, pattern-aware pipelining and fine-grained swapping. Second, Wukong+G scales up by introducing a GPU-friendly RDF store to support RDF graphs exceeding GPU memory size, by using techniques like predicate-based grouping, pairwise caching and look-ahead replacing to narrow the gap between host and device memory scale. Third, Wukong+G scales out through a communication layer that decouples the transferring process for query metadata and intermediate results, and further leverages both native and GPUDirect RDMA to enable efficient communication on a CPU/GPU cluster. Finally, Wukong+G simultaneously runs multiple queries on a single GPU to improve overall throughput and fully exploits hardware heterogeneity (CPU/GPU) by scheduling a single query on CPU and GPU adaptively. We have implemented Wukong+G by extending a state-of-the-art distributed RDF store (i.e., Wukong) with distributed GPU support. Evaluation on a heterogeneous CPU/GPU cluster with RDMA-capable network shows that Wukong+G outperforms Wukong by up to 9.0 (from 2.3) and scales well on 10 GPU cards for heavy queries. Wukong+G can also improve both latency and throughput by more than one order of magnitude when facing hybrid workloads
Complete delay modeling of sub‐threshold CMOS logic gates for low‐power application

In this paper, the propagation delay of a complementary metal‐oxide semiconductor (CMOS) inverter circuit in sub‐threshold regime has been analyzed thoroughly with respect to variable loads, rise and fall time of input, device dimensions and temperature, without neglecting the significant drain induced barrier lowering (DIBL) and body bias effects. In particular, sub‐threshold slope factor and current strength have been modeled with respect to temperature, which would be efficacious for the analysis of sub‐threshold circuit as temperature plays an important role in propagation delay. Transistor stacking has also been modeled considering variation in threshold voltage, sub‐threshold slope factor and DIBL coefficient owing mainly to fluctuation in doping levels. The CMOS inverter delay model together with transistor stacking model has been incorporated in the analysis of propagation delays of NAND and NOR gates. Extensive simulations have been performed under 45 and 22 nm CMOS technology using simulation program with integrated circuit emphasis (SPICE) to ensure the correctness of the analysis. Simulation shows that this model is applicable for the analysis of digital sub‐threshold circuit in sub‐90 nm technology. Copyright © 2015 John Wiley & Sons, Ltd.
User Satisfaction Analysis of Mobile eProperty Management Application Using End-User Computing Satisfaction Method (Case Study : Apartments in Jakarta)

The development of internet-based technology has been utilized in many sectors, including property, especially for apartment management. Apartments have become a residential trend that is increasingly in demand in big cities and megapolitans including Jakarta and the surrounding buffer areas such as Bogor, Tangerang, Depok, and Bekasi. With increasingly high demands from apartment residents, property managers are trying to provide better and more efficient services. One of the services that are currently widely used is the use of ICT, namely the use of e-Property Management applications. E-Property Management is an application designed for mobile-based apartment residents for several functions that previously used a manual approach.This mobile-based e-Property Management application has been implemented in many apartments, especially in middle-class apartments in Jakarta with various product names. This study aims to analyze the user satisfaction of the mobile-based e-Property Management application in Jakarta in apartments based on the End User Computing Satisfaction (EUCS) method. This EUCS method has 5 variables, namely content, accuracy, format, ease of use, and timeliness. This study is an observational study, and the population is all apartment residents who have used a mobile-based e-Property Management application.The results showed that all respondents were satisfied when using the mobile-based e-Property Management application/system, but there were still gaps in the 5 types of variables used in the EUCS method. This is due to the difference between the reality perceived by the user and what is expected. It is necessary to evaluate to increase the satisfaction of users of the e-Property Management mobile application through system strengthening so that respondents' expectations can be achieved. Simplification of usage procedures and socialization to apartment residents needs to continue so that the use of the e-Property Management mobile application can get more users and cover a wider range of other apartments in the Jakarta area.
Time‐Stratified Case Crossover Study of the Association of Outdoor Ambient Air Pollution With the Risk of Acute Myocardial Infarction in the Context of Seasonal Exposure to the Southeast Asian Haze Problem

Background Prior studies have demonstrated the association of air pollution with cardiovascular deaths. Singapore experiences seasonal transboundary haze. We investigated the association between air pollution and acute myocardial infarction (AMI) incidence in Singapore. Methods and Results We performed a time‐stratified case‐crossover study on all AMI cases in the Singapore Myocardial Infarction Registry (2010–2015). Exposure on days where AMI occurred (case days) were compared with the exposure on days where AMI did not occur (control days). Control days were chosen on the same day of the week earlier and later in the same month and year. We fitted conditional Poisson regression models to daily AMI incidence to include confounders such as ambient temperature, rainfall, wind‐speed, and Pollutant Standards Index. We assessed relationships between AMI incidence and Pollutant Standards Index in the entire cohort and subgroups of individual‐level characteristics. There were 53 948 cases. Each 30‐unit increase in Pollutant Standards Index was association with AMI incidence (incidence risk ratio [IRR] 1.04, 95% CI 1.03–1.06). In the subgroup of ST‐segment–elevation myocardial infarction the IRR was 1.00, 95% CI 0.98 to 1.03, while for non–ST‐segment–elevation myocardial infarction, the IRR was 1.08, 95% CI 1.05 to 1.10. Subgroup analyses showed generally significant. Moderate/unhealthy Pollutant Standards Index showed association with AMI occurrence with IRR 1.08, 95% CI 1.05 to 1.11 and IRR 1.09, 95% CI 1.01 to 1.18, respectively. Excess risk remained elevated through the day of exposure and for >2 years after. Conclusions We found an effect of short‐term air pollution on AMI incidence, especially non–ST‐segment–elevation myocardial infarction and inpatient AMI. These findings have public health implications for primary prevention and emergency health services during haze.
PENGARUH VARIASI BENTUK HULL KAPAL CATAMARAN TERHADAP BESAR HAMBATAN TOTAL MENGGUNAKAN CFD

Penelitian ini bertujuan untuk mendapatkan konfigurasi kapal katamaran dengan variasi bentuk dan lebar lambung yang memiliki hambatan paling kecil dengan menggunakan pendekatan Computational Fluid Dynamic (CFD). Dalam melaksanakan penelitian dilakukan perhitungan hambatan total pada beberapa model 3D menggunakan CFD dengan variasi bentuk lambung dengan menggunakan tipe symetri; inner flat; outer flat, dan variasi lebar lambung (B Hull = 2,50m; 3,00m; 3,50m) dengan kecepatan dinas 16, 20, 24 knot. Dari hasil analisa didapatkan nilai hambatan dengan CFD untuk model lambung dengan variasi lebar untuk kecepatan 16knot bervariasi antara 20,401 kN sampai 54,445 kN. Pada kecepatan 20 knot antara 31,829 kN sampai 84,962 kN. Sementara untuk kecepatan 24 knot antara 45,938 kN sampai dengan 122,623 kN.
1-trit Ternary Multiplier and Adder Designs Using Ternary Multiplexers and Unary Operators

This work proposes models for a L-trit TMUL (Ternary Multiplier) and THA (Half-Adder) using TMUXs (Ternary Multiplexers) and unary operators. The target of the proposed designs is to minimize energy consumption in nanoscale embedded circuits to improve their battery usage. To achieve that, different techniques are used: 32-nm CNTFET tranisistor, Multiple-Valued Logic (MVL), two voltage supplies $(V_{dd},\ V_{dd}/2)$ TMUXs, and unary operators to reduce the transistors' number and PDP (Power Delay Product). Extensive simulations using HSPICE for different Process, Voltage, Temperature (PVT), and noise effects are applied. The obtained results show improvements regarding PDP, robustness of process variations, and noise tolerance with respect to recent similar designs.
Diversity of filamentous and yeast fungi in soil of citrus and grapevine plantations in the Assiut region, Egypt.

An extensive survey of soil mycobiota on citrus and grapevine plantations in Sahel-Saleem City, Assiut Governorate, Egypt was carried out using the dilution-plate method and 2 isolation media at 25 °C. Sixty-four genera and 195 species of filamentous fungi and 10 genera and 13 species of yeasts were recovered. A higher diversity (number of genera and species) and gross total counts were recovered from citrus than from grapevine soil. The peak of filamentous fungi recovered from both soils was found to be in February. Aspergillus (45 species) was the most dominant genus; A. ochraceus predominated in citrus plantations, while A. niger and A. aculeatus in grapevine. The Penicillium count came second after Aspergillus in citrus (23 species) and after Aspergillus and Fusarium in grapevine (11 species). Penicillium citrinum, P. ochrochloron and P. olsonii were more common in citrus plantations, but they were replaced by P. oxalicum in grapevine soil. Fusarium (19 species) was represented in 88.9–100% of both soils on both media; F. solani predominated in both soils, while F. incarnatum came next in citrus, and F. babinda and F. oxysporum in grapevine. Humicola (3 species) with the dominant H. fuscoatra was recorded in 61.1–83.3% of soil of both plantations, while Talaromyces (with T. purpureogenus followed by T. pinophilus being the most common) was recorded in 83.3–100% on DRBC and 38.9–50% on DYM from the soil of plantations of both crops. Volutella (5 species) was common in citrus but missing from grapevine soil. The present study reveals that hyaline fungi predominated over dark-coloured ones. Yeasts comprised only minor proportions in both soils (maximum 0.5%). They showed their peak in the soil of citrus plantations in April and in grapevine in February. All species were recovered in one or two samples only. Diutina catenulata, Debaryomyces hansenii, Galactomyces (3 species), Hanseniaspora occidentalis, Kluyveromyces marxianus, Meyerozyma caribbica, and Schwanniomyces pseudopolymorphus were encountered in citrus only, while Cryptococcus laurentii, Pichia kudriavzevii, Meyerozyma guilliermondii and Rhodotorula sp. in grapevine only. Physiological and growth characteristics were obtained for most of the recovered yeasts.