Miracle-dz/UniFAR-FTUs huggingface dataset:
MATHEMATICAL MODELLING OF INDICATIVE PROCESS PARAMETERS OF DUAL-FUEL ENGINES WITH CONVENTIONAL FUEL INJECTION SYSTEM

Modern engine research uses multi-dimensional Mathematical Models (MMs) that are applicable to multi-fuel engines. However, their use involves the availability of detailed technical data on the design and characteristics of the engine, which is not always possible. The use of a one-dimensional MM is more expedient for the prediction of engine parameters, but their application for this purpose has not yet been sufficiently investigated. This publication presents the results of numerical studies evaluating the application of a one-dimensional MM with bi-phase Vibe combustion laws for dual-fuel (DF) Diesel (D) and Natural Gas (NG) engine power parameters. The motor test results of a high-speed 4ČN79. 5/95.5 Diesel Engine (DE) with a conventional fuel injection system were used as adequacy criteria. The engines were operated with D100 and DF D20/NG80, in high(HLM), medium(MLM), and low(LLM) load modes, and the angle of Diesel-fuel Injection Timing (DIT) was changed from −1 to −13 °CA in the Before Top Dead Center (BTDC) range. Modelling of the single-phase Vibe combustion law has limited applicability for efficient use only in HLM (with an error of 7%). In the MLM and LLM regimes, owing to non-compliance with real bi-phasic combustion with a strongly extended NG diffusive second phase, the modelling error is 50%. Individual MM matching in MLM and LLM in a DF D20/ NG80 experiment detected a burn time increase from between 45 and 50 °CA, to 110 and 200 °CA, respectively. Limited use of the one-dimensional MM in the evaluation of DF engine performance has been identified. When comparing a onedimensional MM with experimental data, a bi-phase law of heat release characteristic should be considered for better coincidence. In addition, individual MM matching with an experiment on each engine load mode ensured acceptable accuracy in testing and optimising the parameters of the indicator process, including DIT.
Assessment of Fuzzification Effect of AHP and TOPSIS in Site Selection of Roadside EMS Stations

INTRODUCTION: In order to prevent and reduce the death and disability rates caused by road accidents, it is necessary to optimize the location of the roadside emergency medical service (EMS) stations. Optimal selection of the EMS stations is a multi-criteria decision-making (MCDM) problem and usually involves the analysis of a large number of possible options and evaluation criteria. Nowadays, various MCDM methods are used to solve location problems that may generate different results. The fuzzification of these methods has always been one of the controversial issues with many agreements and disagreements. METHODS: In this study, a review was first performed on the weighting methods including five non-fuzzy weighting methods as row sum, column sum, arithmetic mean, geometric mean, and eigenvalues as well as two fuzzy weighting methods including: “Liu and Chen method” and “Chang Method”. Then, the fuzzy and non-fuzzy MCDM methods [including analytic hierarchy process (AHP), fuzzy analytic hierarchy process (FAHP) Chang, FAHP Liu, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy TOPSIS (FTOPSIS)] were employed to locate the roadside EMS stations. Due to insufficient information and all the required layers in Iran, the information of the Interstate-65 (I-65) Highway between Montgomery and Birmingham, Alabama, USA was used in the present study. Finally, the results of these methods were compared using the mean-score, Borda, and Copeland prioritization strategies. FINDINGS: Given the importance and sensitivity of the issue, a combination of the MCDM methods was utilized to locate the EMS stations and the most appropriate non-fuzzy and fuzzy weighting methods were identified and the methods used were compared in terms of complexity, volume and time of computations, and the level of impact of the expert opinion. CONCLUSION: The AHP, FAHP Liu and Chen, FAHP Chang, and TOPSIS methods yielded more reliable results in locating the roadside EMS stations, in addition, using FTOPSIS fuzzy method was more risky and is not recommended. The non-fuzzy AHP method was identified to be the most reliable method in the present study.
Enabling Corporate Sustainability from a Talent Acquisition Perspective

The first three pillars of sustainability relating to economic, social and, environmental domains are being investigated extensively with regards to corporate sustainability with a focus on reporting methods and corporate responsibilities that contribute to the overall corporate strategy. However, there is a lack of research pertaining to the human domain which is the fourth pillar of sustainability, especially from a talent acquisition perspective in improving human capital. The objective of this paper is related to addressing this paucity in research by adopting an exploratory study on the existing employee selection processes in practice using a mixed-method approach. This paper focuses predominantly on the qualitative data from various key stakeholders and uses thematic analysis to study the interview processes. The objective is to present the findings that could contribute towards shared values related to corporate sustainability through reinforcement of the best practices in talent acquisition as well as the establishment of maximum transparency in the process. The findings from this paper are rooted on the grounds of a social initiative that provides a conceptual decision model called DSRVG approach to enhance transparency and improve structure and consistency during the employee selection interview which in turn can contribute towards enhancing corporate sustainability.
Running head: TEST-RETEST RELIABILITY OF SICF 1 Investigating the Test-Retest Reliability of Motor Cortex Excitability Using Transcranial Magnetic Stimulation

The coordination of movement, from the process of deciding how to move to the accurate execution of that movement, is what allows for successful interaction with the environment. The study of the motor cortex provides insight into what constitutes normal and abnormal patterns of movement. Research using a non-invasive brain stimulation technique called transcranial magnetic stimulation (TMS) has suggested that intracortical facilitation, that is facilitatory neural activity in the primary motor cortex, plays an important role in motor control. One form of facilitation known as short-interval intracortical facilitation (SICF), can be measured using a paired-pulse protocol of TMS. However, the reliability of this protocol has yet to be established. The current study aimed to investigate the test-retest reliability of paired-pulse TMS to measure SICF in healthy younger adults (N = 16). In addition, the current study explored the relationship between SICF and manual dexterity as measured by the Purdue pegboard test. Results indicated excellent test-retest reliability of SICF magnitude. Finally, SICF magnitude was found to be positively associated with right-hand performance in the Purdue pegboard test. Taken together, the findings of the current study suggest that SICF can be reliably measured by TMS across different sessions. The current study contributes to the literature suggesting that SICF is important for motor control. Further, this understanding of the role of SICF in the healthy brain could provide avenues for future research to examine SICF in people with movement or neurological disorders affecting motor control.
ECONOMIC, ENVIRONMENTAL AND PRODUCTIVE PRACTICES INFLUENCE ON THE INDUSTRIAL ENERGETIC EFFICIENCY

The industrial energetic efficiency (EE) is recognized as one of the main factors for the reduction of gas emissions that cause the greenhouse effect and for the improvement of the industrial competiveness. Within this context, many papers of the international literature have proposed different indicators of industrial, economic and environmental behavior, so as to promote the EE inside the industries. However, such proposals do not generally check the result of the joint work for more than one indicator in the organizations, making more global analysis more difficult related to EE. This paper aims to check which environmental, economic and industrial practices indicators influence the EE of the industries. The data have been collected from the framework developed by Trianni et al . (2014), that analysed the main energetic efficiency measures for the technologies: motors, lighting, compressed air and HVAC systems (heating, ventilation and air conditioning). A logistic regression model has been adjusted for understand the relationship the economic, environmental and productive practices behavior on the energetic efficiency. Results suggest that a healthy workplace enables investments in equipment and machinery, allowing the EE inside the industries.
Regulating GLUT4 Sorting into the Insulin-Responsive Compartment in Muscle Cells

Skeletal muscle and adipose tissue serve as the major storage sites for glucose, and insulin is the major signal for glucose uptake into these tissues. Glucose transporter 4 (GLUT4) is responsible for the uptake of glucose into muscle and adipose tissues. This protein constitutively recycles between the plasma membrane and intracellular depots. Under resting conditions, most GLUT4 molecules are maintained in intracellular compartments. Insulin shifts this dynamic equilibrium towards the plasma membrane by recruiting a fraction of GLUT4 to the plasma membrane from insulin responsive vesicles. However, steady-state measurements of GLUT4 localization have failed to reveal the subcellular localization of these vesicles or how GLUT4 is sorted to them. By analyzing the sorting of GLUT4 as it internalizes from the cell surface, advances may be made in revealing how GLUT4 acquires insulin-responsiveness and the intracellular location in which this occurs. In L6 myoblasts stably expressing myc-tagged GLUT4, surface-labelled GLUT4myc that internalizes for 30 min accumulates in a Syntaxin-6 (Stx6)-positive perinuclear compartment and displays insulin-responsive exocytosis. Although Stx6 knockdown does not alter the perinuclear accumulation of internalized GLUT4myc, it does inhibit by ~50% the ability of internalized GLUT4myc to undergo insulin-responsive exocytosis. These results suggest that the Stx6-positive perinuclear compartment consists of at least two sub-compartments – one that serves as a dynamic retention compartment and one that is insulin-responsive. Microtubule
ISOLATION AND IDENTIFICATION OF Enterococcus STRAINS FROM OLD EGYPTIAN HARD CHEESE.

Six bacterial strains were isolated from old Egyptian hard cheese, and identified by rapid ID 32 strep V2.0 as Enterococcus durans with 99.9 % identity. The strains were tested for growth under different stress conditions such as different temperatures (42, 46, 50, 55°C), antibiotic (Erythromycin EM) and different salt concentrations (1, 2, 3, 4, 5 % NaCl). One strain, which appeared to be rather resistant to the different stress conditions, was selected for determination the characteristics of the plasmid harboured by the strain. To study the biological functions of the plasmid, wild type and plasmid-cured derivatives were compared i) for resistance against different antibiotics (ampcillin AMP, chloramphenicol C, cefotaxime CTX, EM, gentamycin CN, kanamycin K, lincomycin MY, methicillin MET, neomycin N, ofloxacin OFX, rifampicin RD, streptomycin S, tetracycline TE, vancomycin VA), ii) resistance against high temperature and iii) for ability to grow at high salt concentrations. Results showed that there was no difference in antibiotics resistance for wild type and cured strain, except for S and VA (cured strain was less sensitive than the wild-type ) . Determination of growth rates of both strains in medium containing EM showed that the cured strain grew better than the wild type at 42°C, however, in the absence of EM the wild type strain grew better than the cured one at 42, 46 and 50°C. No significant differences between both strains were seen when they were grown at different NaCl-concentrations of 1, 2, 3, 4 and 5 %.
BEING EUROPEAN IN A SOCIAL DILEMMA: THE EFFECT OF EUROPEAN IDENTITY ON COOPERATION

One hundred and sixteen students from an Italian university took part in a two-person social dilemma game with a European bogus partner. The main aim of the research was to test the effect that an individual’s level of European social identification has on his/her cooperative behavior with a partner from another European nation. An additional aim was to explore the different effects of the cognitive and affective dimensions of European social identity. Our research also meant to test the role of trust, which for our purposes is defined here as participants’ positive expectation about the cooperative behavior of their European partner. Our results showed that the cognitive dimension of European social identity has a significant direct effect on cooperation, while the affective dimension has an indirect effect mediated by trust. We concluded by discussing the results in relation to different theoretical models, and explored several practical implications.
Incidence of cutaneous and subcutaneous tumors of dogs from Baghdad city: Clinical, cytological and histopathological features

The present study was conducted to estimate the incidence, clinical findings, cytological and histopathological characteristics of spontaneously occurring skin neoplasms in dogs. A total of 40 grossly suspected cases of cutaneous and subcutaneous tumors were gathered during the period from July 2016 to August 2018 from male and female dogs in Baghdad city. Dogs with skin neoplasia revealed various clinical signs, and their ages were older than 5 years to 15 years. German shepherd 30% followed by Terrier dogs 25% were more influenced than other breeds. Concerning tumor features, the majority of neoplasms had solitary lesion 70%, regular shapes 65% with black color 55%. The tumors frequently occurred on fore-limbs and abdomen, and 80% of them lasted for 1-6 months. Cytological examination was valuable for initial evaluation of benign and malignant tumors. Its results were confirmed by the histopathology, in which the majority of neoplasms sized more than 5 cm and grade I. Nine different types of skin neoplasms were recognized, while 65% of them were malignant, the others were benign. Squamous cell carcinoma and adenocarcinomas were the most common comprising 35% and 25%, respectively.
High Order On Surface Radiation Boundary Conditions For Radar Cross-Section Application

Solving problems governed by two and threedimensional wave equations in exterior domains are a complex task. There are techniques to reduce the computational complexities, one such technique is On-Surface Radiation Boundary Conditions (OSRBC). There have been recent interests in revisiting this technique for two and three-dimensional problems [1]. In this paper, we explore the implementation of a new high order OSRBC based on the high order local boundary conditions introduced by [2] for two and three dimensions to solve the wave equation in unbounded domains. In most cases, it is difficult to construct exact solutions. For comparisons of numerical solutions, we use solutions obtained from large domains as approximate exact solutions. The implementation involves a two step novel approach to handle time derivatives. First, the governing equations and boundary conditions are converted to Laplace transform domain. Then, based on bilinear transformation the procedure was converted to z domain which simplified the implementation process. In particular, this process leads to higher accuracy compared to the different types of finite difference schemes used to approximate the first and second order partial derivative in the new high order OSRBC and the auxiliary functions that define the high order boundary conditions. A series of numerical tests demonstrate the accuracy and efficiency of the new high order OSRBC for two and three-dimensional problems. Both the long domain solutions as well as the new OSRBC solutions are compared for accuracies and useful results for radar cross-section calculations are presented. Index Terms – On surface radiation boundary conditions, scattering problems, time-domain analysis, numerical analysis, bilinear transformation, radar-cross section, two and three-dimensional.
IoT Based Intelligent Medication System for Monitoring the Physical Health

:The Internet of Things (IoT) provides an efficient and new life to the healthcare field. It also has a rapid development of many fields. But the more important are real in the field of Medical. One of the better ways the doctors are capable to certainly and quickly right to use the relevant patient information’s and including the patient medical history. Through the Internet of Things, tremendously improves the quality of information and the patient care in the Medical field. Ontology aids computers in additionally understanding the symptoms and medical resources. So, Ontology helps to create a rehabilitation strategy and reconfigure medical resources according to patient’s specific requirements rapidly and repeatedly. Internet of things serves as a catalyst for the healthcare and plays prominent role in wide range of healthcare applications Technology plays the major role in healthcare not only for sensory devices but also in communication, recording and display device. It is very important to monitor various medical parameters and post operational days. Hence the latest trend in Healthcare communication method using IOT is adapted.
End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer

Sequence labeling is a common machine-learning task which not only needs the most likely prediction of label for a local input but also seeks the most suitable annotation for the whole input sequence. So it requires the model that is able to handle both the local spatial features and temporal-dependence features effectively. Furthermore, it is common for the length of the label sequencetobemuchshorterthantheinputsequenceinsometaskssuchasspeechrecognitionandhandwrittentextrecognition. Inthispaper,weproposeakindofnoveldeepneuralnetworkarchitecturewhichcombinesconvolution,poolingandrecurrentin aunifiedframeworktoconstructtheconvolutionalrecurrentneuralnetwork(CRNN)forsequencelabelingtaskswithvariablelengthsofinputandoutput.Specifically,wedesignanovelCRNNtoachievethejointextractionoflocalspatialfeaturesand long-distancetemporal-dependencefeaturesinsequence,introducepoolingalongtimetoachieveatransformoflonginputtoshortoutputwhichwillalsoreducehemodel’scomplexity,andadoptConnectionistTemporalClassiﬁcation(CTC)layerto achieveanend-to-endpatternforsequencelabeling.Experimentsonphonemesequencerecognitionandhandwrittencharacter sequencerecognitionhavebeenconductedandtheresultsshowthatourmethodachievesgreatperformancewhilehavingamoresimplifiedarchitecturewithmoreefficienttrainingandlabelingprocedure. © 2020 The Authors . Published by Atlantis Press SARL. This is
Pollution emission and institutions nexus in Africa

This paper tests the pollution emissions and institutions quality nexus in Africa, through political regime and governance indicators. We apply the system GMM estimator on a dynamic panel of 50 African countries over the period 1990-2014. The key finding suggests that a reinforcement of legislation through the improvement of institutional quality has a negative and significant effect on pollution emissions. Moreover, the findings validate the Environmental Kuznets Curve hypothesis in Africa. The results call for some policy recommendations in environmental regulation for African economies, including strengthening of institutional quality, adoption of specialized investment promotion agencies on the attractiveness of green FDI, implementation of incentive mechanisms in favour of companies that have adopted greening program of their activities
Prospective Association of Dairy Products of Varying Fat Content with Incident Coronary Heart Disease, CVD Mortality, and All-Cause Mortality

of Prospective Association of Dairy Products of Varying Fat Content with Incident Coronary Heart Disease, CVD Mortality, and All-Cause Mortality, by Olivia King, ScM. , Brown University, May 2017: The Women’s Health Initiative Observational Study was used to create a disease-free baseline cohort of 69,185 women aged 50-79. A food frequency questionnaire was administered at baseline and at year 3, and the two time points averaged. Dairy products of varying fat content, primarily milk and cheese but including secondary analyses on yogurt, frozen desserts, and cottage cheese, were examined for prospective association with coronary heart disease events. Secondary outcomes of cardiovascular disease mortality and all-cause mortality were used as validation. After adjusting for age, income, race/ethnicity, cigarette smoking, alcohol use, physical activity, AHEI score (proxy for healthy eating behaviors), and systolic blood pressure, the Cox HR for total dairy intake (milk + cheese) per serving was 0.97 (95% CI: 0.95, 0.99; p-value: 0.005) with consistent results for CVD death and all-cause mortality. High fat dairy intake was found to be non-significant. Low fat dairy intake was similar to total dairy intake results (CHD event HR: 0.97; 95% CI: 0.95, 0.99; p-value: 0.008). Statistically significant inverse associations with CHD events were also found with total milk, semi-skim milk, and total cheese and high fat cheese, with the strongest association found in high fat cheese intake (CHD event HR: 0.66; 95% CI: 0.55, 0.79; p-value: <0.0001). Dairy intake may provide a beneficial effect on coronary heart disease.
FREE TRADE AGREEMENT: IMPACTS ON THE COSTA

According to the Free Trade Agreement with Central America, Dominican Republic and United States signed in 2008, milk import tariff reliefs will stagger down from 59,4% to 0% by 2025. This study determined milk demand and supply curves in the Costa Rican domestic market. Several variables and two different models were conducted to estimate milk demand and supply: Ordinary Least Squares and Two Stages Least Square simultaneous equations. In both cases, demand was estimated by income and milk prices as independent variables; while supply was estimated by input and milk prices. Nonetheless, the best fit was obtained by TSLS model because it accounts for endogeneity among price and quantity. Based on this model, if domestic prices are supposed to decrease due to increasing quantities of imported lower-priced milk, then national demand would increase (9% average) and national production is expected to decrease (26% average). The gap between national milk demand and supply is expected to be filled by milk imported from United States; assuming 0% tariff, no transaction costs and constant share of exports within national production. László Kozár – György Iván Neszmélyi
Advanced Printing for Microelectronic Packaging

Using micro-dispensing with exceptional volume control it is possible to print in 3D space a wide variety of materials and including solders, epoxies, conductive adhesives and ceramic filled polymers. These can be used to build 3D structures and utilizing a 3D Printing approach which is also known as Computer Aided Design and Computer Aided Manufacturing (CAD/CAM). The advanced technology enables 3D printing of electronics but it also enables smaller solder and adhesive dots; 75 microns and less. It is possible to place these on any package in 3D space. Demonstrations for this technology have shown that it is possible to print less than 50 micron wide lines and dots. Additionally a wide range of materials that will be required in future packaging can be dispensed. These smaller features provide sub nanoliter volume. This is possible given the less than 100 picoliter volume control during dispensing and including highly viscous materials. Demonstrations of smaller printed dots and lines for electronic circuits and packaging will be shown. In addition, 3D circuitry that is 3D printed and contains no solder will also be shown, demonstrating the future of printed circuits.