Miracle-dz/UniFAR-FTUs huggingface dataset:
Manufacturing of instructional aids for students at low cost by means of 3D printing

ABSTRACT This article focuses on 3D printing of compound elements, fully connected components or elements, which can be used as instructional aids for students. By means of traditional manufacturing technologies such as machining, forming, or molding, the manufacturing cost of such items would be high, and in addition they would be sometimes difficult to feasible. The majority of the low-cost 3D printers are operated on the basis of the fused deposition modeling technology. In addition, students can be involved in making their own teaching aids. The study of machine components and systems often requires the use of 3D gear models, especially planetary gears or centrifugal compressors. In the article, the numerical optimization of preparing and executing of 3D prints of models of the planetary gear and centrifugal compressor is proposed by the use of genetic algorithm.
PHYSICAL ACTIVITY PREVALENCE AND BARRIERS AMONG TYPE 2 DIABETIC PATIENTS, KUDAI AND AL-HIJRA PRIMARY HEALTH CARE CENTER, MAKKAH, SAUDI ARABIA

Physical activity (PA) is an integral part of T2DM management.PA has important benefits to T2DM patients. Not only improving glycemic control and reducing glycosylated hemoglobin (4). But also reducing patientsÂ’ mortality risks (20 to >37 % reduction). provides beneficial cardiovascular outcomes (5) improves insulin secretion and helps patients control their body weight.In our study we assessed the prevalence of physical activities among patients with type 2 diabetes mellitus and to assess the barriers that prevents them from physical activities by using a valid questionnaire called International Physical Activity Questionnaire (IPAQ). result: total of 157 participants included in this study. 51.6% was involved in low level of physical activity while 28.7% in moderate activity and 19.7% in high level of physical activity. Commonest reported barriers of practicing physical activity among type 2 diabetic patients were Laziness, lack of energy (40.8%), health related issues (38.9%), lack of nearby dedicated facilities (30.6%), lack of time (29.9%) and weather conditions (27.4%). Female patients were more likely than males to feel uncomfortable to engage in exercise in public areas (21.9% vs. 6.5%), Conclusion, level of physical activity among type 2 diabetic patients was significantly related to age, educational level, occupation and working hours/day and was generally low in more than half of the patients.
Deep Learning Methods in Short-Term Traffic Prediction: A Survey

Nowadays, traffic congestion has become a serious problem that plagues the development of many cities aroundthe world and the travel and life of urban residents. Compared with the costly and long implementation cyclemeasures such as the promotion of public transportation construction, vehicle restriction, road reconstruction, etc., traffic prediction is the lowest cost and best means to solve traffic congestion. Relevant departmentscan give early warnings on congested road sections based on the results of traffic prediction, rationalize thedistribution of police forces, and solve the traffic congestion problem. At the same time, due to the increasingreal-time requirements of current traffic prediction, short-term traffic prediction has become a subject of widespread concern and research. Currently, the most widely used model for short-term traffic prediction are deeplearning models. This survey studied the relevant literature on the use of deep learning models to solve shortterm traffic prediction problem in the top journals of transportation in recent years, summarized the currentcommonly used traffic datasets, the mainstream deep learning models and their applications in this field. Finally, the challenges and future development trends of deep learning models applied in this field are discussed.
Operator-Centered Task Analysis

The practice of human factors in agriculture presents numerous challenges for the researcher. Difficulties include measuring operator behaviors in the agricultural field as well as identifying individual tasks, order of tasks, length of tasks, and operator motivation for each task. To confidently build a baseline for how operators use and appropriate their resources during the planting agricultural season, a variety of qualitative and quantitative research methods were combined to create OCTA (operator-centered task analysis), a hybrid methodology to observe, document, explain, and potentially predict operator behaviors in the field. The OCTA model draws from four main methodologies: observation, interview, behavioral and interview coding, and task analysis. This work describes the development and implementation of OCTA, and how to replicate its use. While the OCTA methodology was developed in an agricultural context, it can be generalized for use with nearly any observable human-machine interaction system.
Fuzzy C-means Using Manifold Learning and Its Application to Rolling Bearing Performance Degradation Assessment

： Entire life cycle degradation monitoring of rolling bearing is an important part of equipment initiative maintenance technology. Assessing the damage state effectively can realize near-zero downtime for equipment and exert its maximum productivity. In order to depict rolling bearing degradation trends effectively, the fuzzy C-means Algorithm (FCM) based on manifold learning is proposed. First of all, the time domain features, frequency domain features and wavelet packet time-frequency domain characteristics extracted from monitoring signals are used to constitute high-dimensional feature set. After then, the low-dimensional manifold features of the high-dimensional feature set are extracted according to the certain intrinsic dimension. In this sense, the FCM model based on locally linear embedding (LLE) manifold learning is built to evaluate current operating status of the rolling bearing. Finally, entire life cycle experiment of IMS rolling bearing is used to evaluate the efficiency of the proposed method for describing performance degradation stage of the rolling bearing.
The evaluation of pilots performance and mental workload by eye movement

Pilots make important decisions often using ambiguous information, while under stresses and with very little time. During flight operations detecting the warning light of system failure is a task with real-world application relates to measurement of pilot's performance and eye movement. The demand for a pilot's visual and situational awareness in multiple tasks can be detrimental during pilots' mental overload conditions. The purpose of this research is to evaluate the relationship between pilot's mental workload and operational performance by eye tracking. Collecting eye movement data during flight operations in a virtual reality of flight simulator provided useful information to analysis participants' cognitive processes. There were 36 pilots participated in this research, the experience of flight hours between 320 and 2,920, the range of age between 26 and 51 years old. The apparatus included Applied Science Laboratories (ASL) eye tracking, IDF flight simulator and NASA_TLX for data collection. The results show that pilots with high SA detecting hydraulic malfunction have shorter total fixation duration on Air Speed Indicator and longer total fixation duration on Altitude Indicator, Vertical Speed Indicator, Right multi-display and Left multi-display compared with pilots without detecting the signal of hydraulic malfunction. Pilots' total fixation time on Integration Control Panel, Altitude Indicator, Attitude Indicator and Right Multi-display, and pilots' subjective rating on NASA-TLX effort dimension for the mission of close pattern have significant relationship with pilots' performance on the operational time for completing the tactic mission. Experienced pilots operate aircraft familiar with monitoring Airspeed Indicator and kinetic maneuvering result in less fuel consumption. This study could provide guidelines for future training design to reduce pilots mental workload and improve situational awareness for enhancing flight safety.
Effect of Slag Gypsum Binder as a Substitute to Cement on the Stability of Backfill Mining

To effectively apply slag-gypsum binder (SGB) to most modern mines. An experimental study is conducted to investigate the feasibility and reliability of slag-gypsum binder (SGB) to replace cement in the mine backfill to effectively apply SGB in modern mines. The optimum parameters of aggregate and SGB fineness were investigated on a laboratory basis and the effect of concentration on the workability was analyzed. Also, industrial tests were carried out to study the cementitious properties of SGB and compared to cement. Finally, the hydration properties of SGB were analyzed using XRD and SEM. The results indicated that the main hydration products of SGB are C-S-H gel and ettringite, while Ca(OH)2 is consumed during the hydration process. In addition, the structure formed in the later stage of SGB is more compact. SGB is beneficial to the strength of the waste rock mixture. The sample prepared with the waste rock-rod milling sand-river sand mixture has a maximum strength of 7.54 MPa at 28 d. Reducing fineness is beneficial to form early strength. However, a specific surface area exceeding 510 m2/kg will harm the later strength. Surface area is less (400 m2/kg), the sample strength decreases when the dosage increases. Comparing the workability of SGB slurry and cement slurry, it is found that there is no essential difference between them under different mass concentration conditions. SGB slurry shows better fluidity and stability at a mass concentration of 80–82%. Industrial backfill experiments show the 3-, 7-, and 28-d strengths of SGB samples under 80% mass concentration conditions are 0.91 times, 1.43 times, and 1.2 times the cement samples. Therefore, using SGB instead of cement to backfill is a good application prospect.
Ocular Syphilis: A Case Report

Neurosyphilis refers to the involvement of the central nervous system by Treponema pallidum. Ocular syphilis can present with a range of manifestations, uveitis being the most common, and it can occur at any stage of acquired syphilis. There are multiple tests available for the diagnosis of syphilis. Moreover, the treatment of syphilis depends upon the stage of the disease. For years, the management of syphilitic uveitis was controversial among physicians, with several reviews debating whether ocular syphilis is a subtype of neurosyphilis. Recent recommendations state that ocular syphilis should be treated similarly to neurosyphilis, even with a normal liquor examination. Herein, we describe a case of a 57-year-old male patient who was diagnosed with ocular syphilis.
Applying extended bandwidth and binaural broadband technology in paediatric fittings

Advanced technologies such as broadband wireless communication between hearing instruments (HI) and extended bandwidths have shown to impact speech recognition and spatial hearing. The launch of the Safari paediatric hearing instrument line has made these tech­ nologies readily available for use with children. In natural continuation hereof the paediatric product test of Safari 900 explored the benefits associated with these technologies as applied in the paediatric population. The results of these preliminary efforts were promising and consistent with other findings in the literature with children and adults.
EFFECTS OF POWER SYSTEM STABILIZER ON DAMPING OF INTER-AREA OSCILLATION USING REMOTE SIGNAL

The inter-area oscillations in large interconnected power systems often have features of being low-frequency, lightly damped, and affecting relatively more generating units located in multiple areas. They restrict the allowable power flow on tie-lines and may lead to unexpected contingencies if it is not to be in proper observation. The main objective of this paper is to present a small signal stability analysis applied to Vietnam Power System which is a longitudinal network structure with the consideration of Power System Stabilizers (PSS) in operation to enhance the damping of inter-area oscillation by using local as well as remote feedback signals via phasor measurement unit (PMU). Based on the use of the eigenanalysis and PMU, the study results show that by determination installation location of PSSs and selecting the remote control signal properly, power oscillation on the tie-lines was significantly reduced. Both linear analysis and time-domain simulation are used to investigate the performance of the power system. The results have also illustrated the effectiveness of the PMU application in large power systems.
Effects of Urban Expressways on Housing Prices: A Case Study of Qiushi Highway, Hangzhou, China

This paper discusses the effects of the construction of urban expressway on accessibility and further investigates the relationship between changes in accessibility and house prices caused by expressway construction. Taking the Qiushi Highway Phase III project in China as an example, a hedonic price model and difference-in-difference method are used to analyze the impact. The main innovation of the study is how it considers the improvement of the overall traffic conditions brought about by the construction of the expressway. In addition, three distance impedance parameters—namely Euclidean distance, road network distance, and actual transit time—are used to estimate the value of traffic accessibility during the process. The main research conclusions are as follows: (1) The opening of the Qiushi Highway Phase III project can significantly improve the accessibility of the surrounding areas to the city center. Additionally, this improvement can be extended to further sites through the urban expressway network; (2) The results of the difference-in-difference method show that the premium effect of the city expressway on house prices will not be directly generated by the expressway’s geographical proximity to the project. In fact, the expressway will increase accessibility in some related areas and will also have a further positive impact on housing prices; (3) Among the three types of traffic impedance parameters, accessibility calculated on the basis of actual transit time has the strongest connection to house prices.
Adaptive Cuckoo Search Algorithm based Method for Economic Load Dispatch with Multiple Fuel Options and Valve Point Effect

This paper presents an Adaptive Cuckoo Search Algorithm (ACSA) for solving economic load dispatch problem where thermal units with multiple fuel options and valve point loading effect are taken into account. ACSA is first developed by improving the optimal solution search ability of conventional Cuckoo search algorithm. In ACSA, the initial eggs are evaluated and classified into two groups including good group and bad group. The updated step size in ACSA at the first new solution generation via Levy is adaptive at each iteration and therefore the selection of the parameter is not an issue in the paper. The proposed ACSA method is tested on a ten-unit system considering multiple fuel options and valve point loading effect with different load cases. The comparisons of obtained results among the proposed method with others reported in the paper have indicated that ACSA is efficient for applying to the problem.
Hash Functions and GPU Algorithm of Infinite Grid Method for Contact Search

The paper presents the memory-saving GPU algorithm of the infinite grid method with various hash functionsfor contact search in discrete element computations. The implemented hash table of fixed size has the addedbenefit of allowing the grid to be potentially infinite in size, which is particularly suitable for a large numberof discrete particles, moving in large computational domains with empty regions. Research on the applicationof various hash functions and hash table sizes was performed to preserve the computational performance ofthe developed memory-saving GPU algorithm and its OpenCL implementation. The performance of the developed software was evaluated by solving the hopper fill and discharge as well as the artificial avalanche problemson the NVIDIA® Tesla™ P100 GPU. The performance achieved by using the memory-saving implementationof contact search was compared with that attained by using the standard implementation of the uniform gridmethod. The performed analysis revealed that the developed GPU algorithm and its OpenCL implementationreduced the GPU memory consumed by the uniform grid method up to 69.7 times, which resulted in the contactsearch memory equal to 1.86% of the total memory required by DEM computations. Moreover, the applicationof the Morton hash function and the proper hash table size allowed for preserving high computational performance of the infinite grid method and the developed GPU software.
Socio‐hydrology and hydrosocial analysis: toward dialogues across disciplines

In this study, we review the ways in which water has recently been conceptualized by both natural and social scientists as either hydro‐social or socio‐hydrological. We do this in order to discuss whether and how they can be compatible, in order to enable dialogue across disciplines that seek to address the ecological and social challenges related to the complex human/water interactions. Through our review, we document the emergence of these specific terminologies, identify how these terms—and the conceptualizations they represent—relate to each other, and suggest what opportunities there are for building further interdisciplinary approaches to understanding water and society. Specifically, we review the recent rise in socio‐hydrology amongst natural scientists/hydrologists to put this in discussion with a much longer tradition in social sciences of seeing water as both natural and social. We identify what the paradigms are in both conceptualizations in order to assess what their respective focus is, and what they omit. Our purpose is not to judge competing claims. Rather we want to assess the knowledge claims made in both paradigms: what can we learn when we employ these different approaches, what different rationales for action do they suggest, and what scope exists for collaboration. We conclude that there is scope in combining both approaches without a need to antagonistically question their respective fundamental assumptions, and playing to the strengths of each: the rich case study narratives produced by hydrosocial research can be the basis for the conceptual and quantitative modeling of socio‐hydrology. WIREs Water 2017, 4:e1196. doi: 10.1002/wat2.1196
Evaluation of Sleep Quality with Use of Angiotensin Receptor Neprilysin Inhibitor in Patients with Reduced Ejection Fraction Heart Failure

Background and Aim: It is known that chronic heart failure reduces sleep quality by causing sleep problems. In recent years, it has been observed that sacubitril-valsartan, which is an angiotensin receptor neprilysin inhibitor, reduces mortality and hospitalization in patients with heart failure. The aim of our study is to examine whether sacubitril-valsartan affects sleep quality in patients with reduced ejection fraction heart failure apart from these benefits. Material and Method: In our study, 44 patients with a history of heart failure with reduced ejection fraction applied to our cardiology outpatient clinic of Gazi Yaşargil Training and Research Hospital were included. Demographic, clinical, laboratory, electrocardiographic, and echocardiographic parameters of these patients were examined. Sacubitril-valsartan treatment was initiated in all patients. Dose titration was performed in patients who could tolerate the treatment. Pittsburgh sleep quality index questionnaire was performed in all patients before treatment and at the end of the second month. Result: The median age of the study population was 61.5 (47.2 - 70.7, IQR) years and 30 (68.2 %) of them were male. There were 30 (72.7 %) ischemic heart failure patients and 14 (27.3 %) non-ischemic heart failure patients. There was a significant decrease in the number of patients with poor sleep quality after angiotensin receptor neprilysin inhibitor treatment compared to baseline [36 (81.8 %) vs 30 (68.2 %), p= 0.031]. In addition, there was a significant decrease in the total Pittsburgh sleep quality index score of patients compared to the baseline [9.0 (7.0 - 12.0) vs 7.0 (5.0 - 9.0), p < 0.001]. Conclusion: In our study, we observed that sacubitril-valsartan treatment improves sleep quality in patients with reduced ejection fraction heart failure.
Fast fixed-time sliding mode control for synchronization of chaotic systems with unmodeled dynamics and disturbance; applied to memristor-based oscillator

In this paper, fast global fixed-time terminal sliding mode control for the synchronization problem of a generalized class of nonlinear perturbed chaotic systems has been investigated with the application of memristor-based oscillator in the presence of external disturbances and unmodeled dynamics. In the fixed-time control strategy, unlike conventional asymptotic or finite-time approaches, convergence time is not related to the initial conditions. In the designed global fixed-time controller, both the sliding phase and reaching phase have fixed-time convergence characteristics and consequently, via the proposed strategy, precise synchronization of the master-slave systems is accomplished within fixed convergence time. The fast fixed-time synchronization problem of the nonlinear memristor chaotic system (MCS) has been investigated. In the first stage, an in-circuit emulator (ICE) for the considered memristor is utilized in order to apply on the defined MCSs. In the next stage, according to the considered ICE, the dynamical structure of the MCS is formulated along with the fixed-time synchronization problem which is efficiently addressed via the designed controller in the presence of external disturbances and unmodeled dynamics. Finally, the strength and validity of the theoretical outcomes are confirmed through numerical simulations.
Agent-Based Data Extraction in Bioinformatics

Bioinformatics is an active and important research discipline in which molecular data is exponentially growing in complex nature. Because of the substantial research in this field, researchers are faced with critical issues such as bandwidth, storage, and complexity in order to retrieve molecular data. It becomes very difficult to conduct research using low computational devices such as Internet of things and sensors. We are employing migration of the agent technique to decrease network traffic and to mitigate the client’s limited resource problem by utilizing server-side resources to perform large-scale computation. Our proposed solution does not necessitate additional storage or processing power on the client’s side which makes it cost effective. In the proposed solution, (i) an agent visits service provider containing biological data, say sequences requested by the client, (ii) agent fetches the required data, and on the server side it will manipulate the data, and (iii) returns along with the required results to its source platform. Thus, it solves the bandwidth, storage, and computational issues without involving the low resources of the client. For the proof of concept, Java Agent Development (JADE) framework is used as an implementation tool and the results are compared with Java Remote Method Invocation (RMI). It is important to note that our findings reveal that our strategy saves the user up to 16.25% of average time with respect to bandwidth. On the other hand, our approach takes 46.82% less time than the other with respect to data that the agent carries. In addition to the previous contributions, our approach acts as a mashup, to collect data in different format from several service providers, and converts it in any required format. Thus, it solves the problem of complexity hidden in the nature of the data to increase the researchers’ productivity.