Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPLORING THE RECYCLING OF MANURE FROM URBAN LIVESTOCK FARMS: A CASE STUDY IN ETHIOPIA

Urban population growth is driving the expansion of urban and peri-urban agriculture (UPA) in developing countries. UPA is providing nutritious food to residents but the manures produced by UPA livestock farms and other wastes are not properly recycled. This paper explores the effects of four scenarios: (1) a reference scenario (business as usual), (2) increased urbanization, (3) UPA intensi ﬁ cation, and (4) improved technology, on food-protein self-suf ﬁ ciency, manure nitrogen (N) recycling and balances for four
Technology deployment in physics lessons: Understanding optics better with Augmented Reality

The following article presents the results of a seminar on “Augmented Reality in Institutional Education”. There, together with STEM trainee teachers, an optics experimentation circle was developed for pupils in the 7th and 8th grade at the Gymnasium for the subject of “Nature & Technology” or “Physics”. This includes (real) experiments (lunar phases / eclipses, refraction, refractive error, color mixing), which were enriched with Augmented Reality technology created by the students. By creating a learning scenario with the help of Augmented Reality at school, the real environment continues to be perceived by the students but is supplemented with visualizations of physical model concepts. For example, the refraction of laser light on a water surface in the real experiment was overlaid with a visualization of the physical ray model of light, so that both information can be perceived simultaneously. This offers the students the opportunity to link physical model concepts statically but also in their spatial or temporal change in conjunction with the real experiment and to actively interact with it at the same time. Even without linking to a real object, augmented reality makes it possible to visualize changing processes or three-dimensional movements of virtual objects and to integrate holograms into the real world. We hope that the experiments presented here can demonstrate the benefits of AR extensions to real experiments, so that more applications will find their way into STEM lessons in the future.
Analysis of BIM application trends in construction industry for waste reduction and sustainable outcomes

The examination has built up a structure for BIM-based authoritative abilities advancement for upgraded appropriation and compelling utilization of Building Data Demonstrating (BIM) inside the Indian engineering associations. In the past examination, a requirement for changing the conventional practices in Indian development area has been more than once communicated. A near concern has moreover been showed up to advocate for the use of lean and sustainable concepts to boost productivity and lead a group of development projects in India; to minimise flaws in the exercises and increase the hold subsidises related to capital, electricity, and cost. As a result, this review aids the plan partnership by recommending the use of BIM as a system that encourages them to consider lean and sustainable changes.BIM was identified as an empowering agent and a cycle for achieving lean and sustainable results on development projects in order to meet the examination objective. Examination was led through a successive blended technique method zeroing in on gathering and breaking down together subjective and quantifiable information. The examination was isolated in quaternion stages: Poll study information assortment and experimental investigation of information including partial Least Square (PLS-SEM) examination to comprehend the ebb and flow status of BIM selection, its drivers, inhibitors and suggestions inside compositional associations in India; Semi- organized meeting and centre gatherings for interpretive examination of local BIM capacities and BIM abilities through Interpretive structural modelling(ISM); broad writing audit to contemplate and recognize the lean and sustainable results; and contextual investigations examination through quantitative comparative analysis (QCA) to approve the proposed structure. The exploration discoveries demonstrate that BIM appropriation venture for designers is in experimentation phase and the contemporary use of BIM which is not investigated to maximum capacity. Structure was created by way of a component of this investigation bequeath empower design associations to effectively accept BIM on tasks headed for acquiring sustainable and lean advantages.
Preparing teachers in grades K-6 to help young pupils learn physics: toward a common research agenda

Standards documents envision that students in grades K-6 engage in developmentally appropriate yet substantive learning in physics and physical science. Students are expected to engage in the practices of the discipline, trying to develop – and experimentally defend – their own explanations of rich everyday phenomena. Teachers need special preparation to meet this challenge. Traditional preparation in lecture-based science university courses or courses that emphasize engaging demonstrations with little intellectual ballast are unlikely to yield the kind of rich experiential and rich discourse-based instructional environment for young pupils to thrive. In this GIREP Symposium, speakers introduced promising models for teacher preparation and enhancement and contribute to a discussion in search of a coherent research-based agenda for like-minded GIREP members.
Cermet materials reinforced with a small addition of spinel nanoparticles for molten salt power systems

This work is devoted to developing of new cermets for molten-salt power systems, promising for use in aviation, rocket and space technology, and power engineering. The production of cermets in the nickel-aluminum alloy system - 35 wt. % aluminum oxide by the method of mechanical activation and spark plasma sintering was carried out. It was found that the addition of 5 wt. % yttrium oxide, as well as small quantities (0.1 wt. %) of aluminum-magnesium spinel nanoparticles, increase the strength of the cermet at elevated temperatures. Cermets have high strength at room and elevated temperatures, which amounted to 480-530 MPa at 20 °C and 430-470 MPa at 750 °C. The micro structure of cermets was characterized by the presence of elliptical regions, the grains in which were significantly smaller than the grains in the surrounding matrix. This structure allows to effectively harden the material because elliptical areas are obstacles to crack propagation. Elliptical zones have length ranged 100 to 200 μm and width 5 to 20 μm. It was found that the material of the NiAl-Al2O3 system at 20 °C and 800 °C contains the phases NiAl, Al2O3, and Ni2Al3. Composite composition NiAl-Al2O3-Y2O3 at 20 °C and 800 °C retains the three-phase composition of NiAl, Al2O3, and Y2O3. Both materials are stable up to 800 °C.
The dynamics of Bell nonlocality for three-qubit system in independent reservoirs

The Bell nonlocality for initially general W states undergoing independent generalized amplitude damping channels are investigated. We examine in detail the effect of adding the number of qubits in the reservoir on delay of the Bell nonlocality dynamics. We show that the Bell nonlocality can be obviously enhanced in suppressing decoherence with the help of auxiliary qubits in the reservoir. In particular, the sudden death of Bell nonlocality can be perfectly bypassed, and corresponding condition has been also demonstrated for initially standard W state. We also provide two ways to produce the interesting quantum beats for the tripartite Bell nonlocality and entanglement. The obtained results may have some potential interests in the quantum decoherence field.
Ways to ensure lightning resistance of aviation carbon fiber polymer composite structures containing adhesive compounds

This work advances solutions to the problem of insufficient electrical conductivity of adhesive material, the adhesive layer, and, ultimately, the entire adhesive connection. Sufficient electrical conductivity is necessary to ensure the survivability of composite structures under lightning strike conditions. Along the way, solutions to the problem of unhindered flow of static electricity charges which can occur when aircraft not in flight and has catastrophic consequences when interaction occurs in the presence of aviation fuel is proffered.
Inverted effective SUSY with combined Z ′ and gravity mediation , and muon anomalous magnetic moment

Effective supersymmetry(SUSY) where stop is the lightest squark may run into a two-loop tachyonic problem in some Z′ mediation models. In addition, a large A term or/and a large stop mass are needed to have ∼ 126 GeV Higgs boson with three families of quarks and leptons. Thus, we suggest an inverted effective SUSY(IeffSUSY) where stop mass is larger compared to those of the first two families. In this case, it is possible to have a significant correction to the anomalous magnetic moment of muon. A three family IeffSUSY in a Z′ mediation scenario is explicitly studied with the Z′ quantum number related to B−L. Here, we adopt both the Z′ mediation and gravity mediation where the Z′ mediation is the dominant one for stop, while the gravity mediation is the dominant one for the muonic leptons and Higgs multiplets. We present a numerical study based on a specific anomaly free model, and show the existence of the parameter region where all the phenomenological conditions are satisfied.
IRS: Intelligent Recommender System as an Academic Advisor for Student Coordination

 Abstract — The enrollment process of students in the colleges of Al-Azhar university (coordination) is mainly based on student final grades in Al Azhar high school Diploma (AHSD). The coordination does not consider the student qualifications and their talent in certain aspects. This paper proposes a system which acts as an academic advisor helping the students to check their qualifications to study commerce studies in general and specially accounting. This system can be adapted to any other fields of study in Al-Azhar university. The proposed model considers the student skills and knowledge and then decides how much the student is suitable for his/her chosen study field. We measure the student skills and knowledge earned during his/her study in the AHSD. The student attitude evaluation in different subjects is based on his/her earned degrees in the final AHSD. The model may take into consideration exams required by the faculty/department, constraints imposed by the faculty/department, the faculty/department capacity, the location of the faculty/department, the location of the student high school, and the student gender. The system works on a data set of the last five years of AHSD and the results of the students already enrolled in the faculty of Commerce/Accountant department. The research firstly apply the logistic regression model to check the suitability of the chosen major for a student then all the students who pass the suitability test are reevaluated to predict their performance in the major.
Mood Analysis using Neural Networks

Identifying mood of a person using the facial expression has been an area of research interest. The research work described in this paper aims to propose a methodology to do the same. In this work, the input from a webcam is fed to the system which is captured frame by frame. The images are preprocessed and a model based on Convolutional Neural Network (CNN) has been used to predict the emotion of a person. The CNN model is trained using the FER2013 dataset to extract features for identification of emotions. The work flow consists of procuring model for training, cleaning the data, building the model and fine-tuning hyperparameters for an optimal level of accuracy. Parallel to this, the functions have been created to take input from webcam and to process the input to feed the model. The final step has been to integrate all the units. The testing of the application has been done for each function separately, then for the entire work as a whole.
Determine the customer satisfaction of Keshavarzi bank based on SERVQUAL model

The goal of this study was to determine the customer satisfaction of Keshavarzi bank divided by services and customer classes, based on SERVQUAL model in four Keshavarzi bank branches in Kish Island. Research Methods and Procedures: In this study, descriptive correlation method is used and statistical society consists of all the customers of four branches of Keshavarzi bank in Kish Island which statistical samples were 384 persons based on Cochran unlimited society. Gathering tools for information analyzing in this work, were SERVQUAL (1988) standard expectation and customer perception Questionnaire with 20 validity and 0.75 reliability and the customer satisfaction questionnaire with 24 validity and 0.72 reliability. The results of this study showed there are a meaningful and significant relation between customer satisfaction with bank services (deposit and electronic) and building trust, reputation, accountability, tangible factors and empathy in all Keshavarzi bank branches in Kish Island. Conclusions: The order of importance effective components on customer satisfaction with electronic and deposit services in this research follows respectively, the organization reputation, building trust, tangible factors, accountability and empathy. Therefore it seems increasing the organizations reputation, building trust, caring to facilities and utilities and staff appearances, accountability and empathy are important variables to satisfy the customers in all branches of Keshavarzi bank in Kish Island. © 2015 Elixir All rights reserved. ARTICLE INF O Artic le history: Received: 20 March 2015; Received in revised form: 30 April 2015; Accepted: 9 May 2015;
Detection of UDP, TCP and ICMP anomalies on real time traffic

Intrusion Detection System (IDS) has been used as a vital instrument in defending the network from this malicious activity. With the ability to analyze network traffic and recognize incoming and on-going network attack, majority of network administrator has turn to IDS to help them in detecting anomalies in network traffic. The gathering of information and analysis on the anomalies activity can be classified into fast and slow attack. Since fast attack activity make a connection in few second and uses a large amount of packet, detecting this early connection provide the administrator one step ahead in deflecting further damages towards the network infrastructure. This paper describes IDS that detects fast attack intrusion using time based detection method. The time based detection method calculates the statistic of the frequency event which occurs between one second time intervals for each connection made to a host thus providing the crucial information in detecting fast attack.
Document Matching for Job Descriptions

We train a document encoder to match online job descriptions to one of many standardized job roles from Singapore’s Skills Framework. The encoder generates semantically meaningful document encodings from textual descriptions of job roles, which are then compared using Cosine Similarity to determine matching. During training, we implement the methodology used by Sentence-BERT, fine tuning pre-trained BERT models using a siamese network architecture on labelled document pairs. Overall, we find that this method achieves better results than using off-the-shelf pre-trained BERT embeddings. Models from this paper will be used to categorize job demand in Singapore’s economy for the purposes of economic surveillance and policy support
Design and performance evaluation of a singulation device for effective positioning of rice kernels in a machine vision-based quality inspection system

The objective of this study was to design a singulation system for proper presentation of rice kernels to be analyzed by vision-based rice inspection systems. In order to achieve this goal, several ideas were examined and the preference of each design over the others was evaluated using the Multi-Criteria-Analysis (MCA) method. The proposed designs included a grooved conveyor belt, dual conveyor singulation device, vibrating tray, circular positioning device, and ejection nozzles. The assessment criteria considered in this research included complexity, fabrication cost, feasibility of implementation, singulation speed, and singulation accuracy. After executing the MCA method, the dual conveyor singulation design was selected as the best design for implementation. A prototype of the selected idea was then constructed and its performance was evaluated practically at different transmission frequencies (TFs) of the conveyor’s variable speed drive and discharge rate (DR) of kernels on the conveyor surface. Results of evaluation showed that in all of the DRs the singulation efficiency increased with transmission frequency. The results also revealed that for all of the evaluated TFs, increasing the discharge rate decreased the singulation efficiency. For all of the evaluated DRs, a somewhat irregular increase was observed in the number of singulated kernels with increasing TF. The highest singulation efficiency was equal to 93.09 % which was obtained at DR of 60 g/min and TF of 60 Hz. The highest number of singulated kernels was equal to 94.75, on the average, which was achieved at DR of 60 g/min and TF of 50
Survey of Data Annotation

: Data annotation is a key part of the effective operation of most artificial intelligence algorithms. The better the annotation accuracy and quantity, the better the performance of the algorithm. The development of the data annotation industry boosts employment in many cities and towns in China, prompting China to gradually become the center of world data annotation. This study summarizes its development, including origin, application scenarios, classifications, and tasks; lists the commonly used annotation data sets, open source data annotation tools and commercial annotation platforms; proposes the data annotation specification including roles, standards, and processes; gives an example of data annotation in a sentiment analysis. Then, this paper describes the models and characteristics of state-of-the-art algorithms for evaluating annotation results, and compares their advantages and disadvantages. Finally, this paper prospects research focuses and development trends of data annotation from four aspects: tasks, tools, annotation quality, and security.
FPGA Implementation of Radix-2 based FFT Architecture for Real-Valued signal processing

This paper investigates the various pipelined FFT architectures based on radix-2, radix-2 2 & radix-2 3 algorithms. The implemented FFTs are designed by employing techniques such as folded transform and register minimization. It maximizes the utilization of hardware resource and reduces the number of adders. It requires less area and achieves high throughput and low latency. For higher values of N, the FFT (Fast Fourier Transform) architecture has many butterfly structures which has been optimized. The FFT outputs are usually obtained in a bit reversed order and a new approach for reordering the bit-reversed orders has been proposed.
Using deep learning to analyze the compositeness of musculoskeletal aging reveals that spine, hip and knee age at different rates, and are associated with different genetic and non-genetic factors

With age, the musculoskeletal system undergoes significant changes, leading to diseases such as arthritis and osteoporosis. Due to the aging of the world population, the prevalence of such diseases is therefore expected to starkly increase in the coming decades. While numerous biological age predictors have been developed to assess musculoskeletal aging, it remains unclear whether these different approaches and data capture a single aging process, or if the diverse joints and bones in the body age at different rates. In the following, we leverage 42,000 full body, spine, hip and knee X-ray images and musculoskeletal biomarkers from the UK Biobank and use artificial intelligence to build the most accurate musculoskeletal aging predictor to date (RMSE=2.65+/-0.01 years; R-Squared=87.6+/-0.1%). Our predictor is composite and can be used to assess spine age, hip age and knee age, in addition to general musculoskeletal aging. We find that accelerated musculoskeletal aging is moderately correlated between these different musculoskeletal dimensions (e.g hip vs. knee: Pearson correlation=.351+/-.004). Musculoskeletal aging is heritable at more than 35%, and the genetic factors are partially shared between joints (e.g hip vs. knee: genetic correlation=.52+/-.04). We identified single nucleotide polymorphisms associated with accelerated musculoskeletal aging in approximately ten genes for each musculoskeletal dimension. General musculoskeletal aging is for example associated with a TBX15 variant linked to Cousin syndrome and acromegaloid facial appearance syndrome. Finally, we identified biomarkers, clinical phenotypes, diseases, environmental and socioeconomic variables associated with accelerated musculoskeletal aging in each dimension. We conclude that, while the aging of the different components of the musculoskeletal system is connected, each bone and joint can age at significantly different rates.
Anti-inflammatory and hepatoprotective activities of Sida rhombifolia Linn

Objectives: To study the effects of different parts of Sida rhombifolia on chemical and drug induced hepatotoxicants and on carrageenan induced paw oedema in rats. Methods: Hepatotoxicity was induced in rats by treatment with carbon tetrachloride, paracetamol and rifampicin and the hepatoprotective activity was measured by determining various enzymes and bilirubin levels in serum. Oedema was induced by carrageenan and the oedema suppressant activity was measured using a plethysmometer. Results: The powdered roots aerial parts and their aqueous extract showed significant hepatoprotective activity. The methanolic extract of the aerial parts showed significant oedema suppressant activity in rats. Conclusion: The hepatoprotective activity of the powdered drug and its extract may be due the stimulatory effects on hepatic regeneration or free radical scavenging effects, etc. The oedema suppressant activity the drug may be due to the inhibitory effects on the release of histamine like substances.