Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of trainer kit as a fault-finding based on electricity and electronics learning media

According to the field of expertise, efforts to strengthen the competence of graduates continue to be pursued, especially through optimizing the learning process. Among these efforts is to use learning media that strengthen the competence of the field of study and about thinking skills. This study aims to produce a trainer kit as a medium for learning basic electricity and electronics based on fault-finding in Basic Electrical and Electronics subjects. The method used is the Richey and Klein Design and Development (D&D) method which consists of three stages, including planning (design), production, and evaluation. Experts carried out the assessment of the feasibility of the trainer kit with an instrument in the form of a questionnaire. The results of this study indicate that the trainer kit has a good performance.According to the field of expertise, efforts to strengthen the competence of graduates continue to be pursued, especially through optimizing the learning process. Among these efforts is to use learning media that strengthen the competence of the field of study and about thinking skills. This study aims to produce a trainer kit as a medium for learning basic electricity and electronics based on fault-finding in Basic Electrical and Electronics subjects. The method used is the Richey and Klein Design and Development (D&D) method which consists of three stages, including planning (design), production, and evaluation. Experts carried out the assessment of the feasibility of the trainer kit with an instrument in the form of a questionnaire. The results of this study indicate that the trainer kit has a good performance.
Panel Data Analysis to Identify Covariates of Longevity and Patronage of Community Shuttles in New Jersey

Shuttle services connecting passengers’ origins and destinations to transit stations and terminals can play a crucial role in enhancing system ridership. Partially because of federal funding through the Congestion Mitigation and Air Quality Improvement Program, such services have become popular in parts of the country. However, studies on the success of community shuttles have been rare. Almost all past studies were stated-preference studies, or case studies without statistical analysis of actual performance of shuttle services. To provide researchers and practitioners with crucial information on the factors potentially influencing the success of shuttle services, this study examined the longevity, level of service, and passenger volumes of the shuttle services introduced in New Jersey between 2002 and 2004. By using panel data analysis, the authors examined how local financial condition, station lot parking, parking cost, bus connections, and socioeconomic and land use characteristics of service areas influence the performance of shuttle services. The study used different types of data, including quarterly panel data on 31 shuttle services for a 7-year period, data from stated-preference surveys of six New Jersey Transit commuter rail lines, and municipal finance data. Results indicated that local financial condition was important for the longevity and level of service of shuttles. Evidence was also found that ease of access to station by alternative modes–whether by walking, local buses, or driving–reduced the attractiveness of shuttle services. Results of the study showed that the success of shuttle services may depend on factors far beyond stated preferences of potential users.
Locally synchronized ciliary domains and tissue-scale cilia alignment underlie global metachronal wave patterns

Motile cilia are hair-like cell extensions present in multiple organs of the body. How cilia coordinate their regular beat in multiciliated epithelia to move fluids remains insufficiently understood, particularly due to lack of rigorous quantification. We combine here experiments, novel analysis tools, and theory to address this knowledge gap. We investigate collective dynamics of cilia in the zebrafish nose, due to its conserved properties with other ciliated tissues and its superior accessibility for non-invasive imaging. We revealed that cilia are synchronized only locally and that the size of local synchronization domains increases with the viscosity of the surrounding medium. Despite the fact that synchronization is local only, we observed global patterns of traveling metachronal waves across the multiciliated epithelium. Intriguingly, these global wave direction patterns are conserved across individual fish, but different for left and right nose, unveiling a chiral asymmetry of metachronal coordination. To understand the implications of synchronization for fluid pumping, we used a computational model of a regular array of cilia. We found that local metachronal synchronization prevents steric collisions and improves fluid pumping in dense cilia carpets, but hardly affects the direction of fluid flow. In conclusion, we show that local synchronization together with tissue-scale cilia alignment are sufficient to generate metachronal wave patterns in multiciliated epithelia, which enhance their physiological function of fluid pumping.
Distribution system restoration using the hybrid fuzzy-grey method

This paper proposes an effective and fast approach based on the hybrid fuzzy-grey method to evaluate restoration plans for power distribution systems. The proposed method consists of two stages: the fuzzy multicriteria evaluation and the grey relational analysis. The fuzzy multicriteria were adopted to deal with imprecise linguistic descriptions in the operators' heuristic rules, while the grey relational analysis was used to judge the ranking of preference for each feasible restoration plan. To demonstrate the effectiveness of the proposed method, a typical distribution system of Taiwan Power Company was examined. The test results showed that the proposed method was efficient and expeditious in obtaining a preferable restoration plan by using simple numerical operations.
Model of Personal Attitudes towards Transit Service Quality

This article, from a special issue on the modeling and optimization of transportation systems, presents a multinomial logit model that can be used to measure personal attitudes towards transit service quality. The authors describe their investigation of reasons for using transit by residents of the City of Calgary, Canada and the development of the model from this investigation. Reasons for using transit are expressed as functions of people's perceptions and attitudes towards transit service quality and attributes. The approach models the reasons for choosing transit and tests the significance of two individual specific latent variables: perceptions of ‘reliability and convenience’ and ‘ride comfort’. The authors focus on the behavioral details that have policy implications. Their research found that the people of Calgary value ‘reliability and convenience’ over ‘ride comfort’. The authors conclude that improving the connectivity of train service, reducing multimodal transfers, and increasing dedicated right-of-ways for transit would effectively increase transit ridership in Calgary. In addition, the use of an intelligent transportation system (ITS) including transit signal priority, advance traveler’s information system (ATIS), and real-time information on bus arrival times would increase positive perceptions of the transit reliability and convenience.
Application of the electrostatic Thompson–Lampard theorem to resistivity measurements

A method for measurement of resistivity of flat samples and thin layers complementary to the well-known van der Pauw technique has been proposed. The method is based on the application of the Thompson–Lampard theorem of electrostatics used in metrology for the realization of calculable capacitor, according to which a large variety of electrode systems can be designed. A prototypic electrode arrangement is shown on which the practical performance of the method was tested.
Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehension

Computational Deep Language Models (DLMs) have been shown to be effective in predicting neural responses during natural language processing. This study introduces a novel computational framework, based on the concept of fine-tuning (Hinton, 2007), for modeling differences in interpretation of narratives based on the listeners’ perspective (i.e. their prior knowledge, thoughts, and beliefs). We draw on an fMRI experiment conducted by Yeshurun et al. (2017), in which two groups of listeners were listening to the same narrative but with two different perspectives (cheating versus paranoia). We collected a dedicated dataset of ~3000 stories, and used it to create two modified (fine-tuned) versions of a pre-trained DLM, each representing the perspective of a different group of listeners. Information extracted from each of the two fine-tuned models was better fitted with neural responses of the corresponding group of listeners. Furthermore, we show that the degree of difference between the listeners’ interpretation of the story - as measured both neurally and behaviorally - can be approximated using the distances between the representations of the story extracted from these two fine-tuned models. These models-brain associations were expressed in many language-related brain areas, as well as in several higher-order areas related to the default-mode and the mentalizing networks, therefore implying that computational fine-tuning reliably captures relevant aspects of human language comprehension across different levels of cognitive processing.
Influence of Some Geometric Factors on Contact Resistance Probe Measurements

The effect of variations in the geometry and preparation of gold probe tips for contact resistance measurements has been evaluated. Tips prepared by melting and by machining and possessing shapes ranging from a point to hemispheres with radii from 0.9 mm to 3.2 mm were used. The contact resistance values are nearly independent of probe geometry on gold and on very lightly filmed (<5 to 10 A) copper targets. On more heavily filmed copper and nickel targets, the contact resistance varies as much as 2½ orders of magnitude at a fixed contact force. The only known variable is the apparent contact area of the various tips, determined by examination in a scanning electron microscope (SEM) after use. It appears that contact pressure predicts contact resistance more reliably than does contact force.
Social participation and marital satisfaction in mid to late life marriage

Objectives Research shows that social participation is beneficial for overall health and well-being. Yet, no research to our knowledge has examined whether social participation is associated with greater marital satisfaction in middle-aged and older couples. We hypothesized that middle-aged and older adults would have greater marital satisfaction when their spouse engaged in social groups because there would be greater opportunity for self-expansion and for social support from ties outside the marriage. Methods We used background self-report data from a multi-method study of 98 middle-aged and older adult married couples (N = 196) with chronic conditions. As part of the study, spouses completed questionnaires that measured the frequency and intensity of involvement in social groups (e.g., church, business groups). Marital satisfaction was measured with the Locke Wallace Marital Adjustment Test. Results Contrary to our hypotheses, results from actor–partner interdependence models provided no evidence that one’s own social participation was associated with one’s own marital satisfaction (actor effects). However, in line with our hypotheses regarding partner effects, one spouse’s (a) report of any social participation with church organizations, business groups, or social groups, (b) greater number of affiliations with different organizations, (c) greater frequency of participation, and (d) being an active officer in a social organization were significantly associated with the other spouse’s greater marital satisfaction. Discussion Findings of this study suggest that having a spouse who participates in social groups is good for relationship satisfaction in mid to late life marriage.
Polyimide core 3D rectangular micro coaxial transmission lines

This article introduces a 20‐μm tall, 75‐μm wide rectangular polyimide core micro coaxial transmission line that can be realized using a simplified fabrication procedure. Measurements of a 4‐bend, meandered micro coaxial line demonstrate an 8% increase in the insertion loss and a 2% variation in the phase compared with a straight line of equivalent length. Cross‐coupling below 30 dB up to 65 GHz has been measured between two micro coaxial lines separated by 175 μm. These properties make the structures as useful building blocks for highly miniaturized and integrated microwave circuitry. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1291–1293, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25212
EVALUATION OF THE ANTIMICROBIAL EFFECT AND BIOACTIVE CONTENT OF MONODORA MYRISTICA SEED

For many decades, the area of alternative medicine has attracted considerable attention from researchers worldwide. Interestingly, evidence abounds that affirms the efficacy of alternative medicine in the various healthcare domain. Moreso, the plants properties have been well explored relating to its medicinal compositions. The purpose of the present study was to analyze the antimicrobial and bioactive contents of the M. Myristica seed. The samples were collected and soaked for 24 hrs with different solvents to extract the medicinal component. The qualitative analysis shows the positive result in saponin, glycoside, steroid, and alkaloid, while flavonoid and tannin are negative. The quantitative analysis for M. Myristica seed show 32% to saponins, alkaloid 8.35%, phenol 55.7%, flavonoid 0.0707 mg/ml, and glycoside 5.2% while-tannin is negative. The result shows that M. Myristica can be used to produce vaccines because of saponin, while flavonoids were found to play biological and pharmacological activities, including antioxidants.
Force Measurements on Driven Discs

Abstract Experiments were carried out under controlled conditions in a soil bin containing sandy-loam soil to study the effects of varying the speed ratio (ratio of peripheral disc speed to forward speed), disc angle and tilt angle settings, on the performance of adriven disc. The hydraulically powered disc provided speed ratios from −3 (backward) through approximately 1 (free wheeling) to 6 (forward). Disc angles were varied from 20 to 65°, from the direction of travel, and tilt angles from −15 to 30° with respect to the vertical. It was observed that there was a major reduction in draught force and specific draught resistance in all cases when disc speed increased from freely rotating to forward speed ratios of approximately 3. Driving a disc in the reverse direction reduced penetration resistance at certain angle settings. Backward-driven discs were also found to reduce side forces on the concave side of the disc and increase those on the convex side. Total power consumption and specific total power increased significantly when the disc was driven in either direction. The angle setting also affected the driven-disc performance. The optimum angle setting in terms of minimizing force and power requirements occurred at a disc angle between 35 and 50° with approximately 0° tilt angle. Observations of soil disturbance showed that driving a disc either backward or forward improved soil mixing and pulverization characteristics.
Civil resistance. What everyone needs to know

of Chapter 4. Through an examination of Podemos in Spain and the Movement Toward Socialism (MAS) in Bolivia, della Porta demonstrates how to mistrust of existing center-left parties created an opening for new movement party formations. The prospects for electoral impact, though are dependent upon conducive conditions; in Spain, the ‘institutional closure’ (p. 105) for the 15 May movement led to an acquiescence to electoralism. In Bolivia, the unexpected electoral success of MAS was due to the mobilization of the cocaleros movement and resulted in Bolivia becoming the vanguard of the interventionist Left (p. 130). Despite efforts to maintain close relations with their respective movement bases, in both cases, della Porta explains, the tensions between movement and party factions became increasingly challenging. How Social Movements Can Save Democracy is a model of how to bridge disparate (but adjacent) disciplines. A few questions remain, though, that I wish were explored. First, what is the association between the outcomes discussed in Chapters 2–4? As standalone chapters, these contributions work quite well, but I found myself wondering about some intersecting topics of interest such as the relationship between Podemos and the Catalan independence referendum or constitutional reform of term limits in Bolivia under Morales. Second, della Porta writes about how movements can rejuvenate democracy in times of democratic deficits, but many of the efforts described remain a work in progress – the independence referenda failed to pass, the constitutional revisions in Iceland were stalled in Parliament, and with the recent resignation of founder Pablo Iglesias, the future of Podemos is unclear. Is the title of the book too hopeful? Many of the democratic innovations have been either resisted, or in certain circumstances, like the Brexit referendum, have been employed for regressive ends. As della Porta skillfully demonstrates, social movements are clearly influencing institutional politics, but given that this impact is often conditional, the continued need for movement pressure outside of the system remains even clearer.
A critical evaluation of the effective diffusion length determination in crystalline silicon solar cells from an extended spectral analysis

This note draws attention to possible errors when characterizing silicon solar cells by means of the effective minority carrier diffusion length L/sub b/ as defined in the paper on "Numerical modeling of textured silicon solar cells using PC1D" by Basore (1990). The approximations underlying the analytical expression for L/sub eff/ are critically reviewed. Their impact on the determination of the minority carrier bulk diffusion length L/sub b/ from L/sub eff/ is discussed for a 250-/spl mu/m thick Si solar cell. It is found that considerable errors occur in the case of diffusion lengths larger than the cell thickness even when neglecting any measurement uncertainty.
Effect of Corrosion and Load on Reinforcement Bond Strength

An experimental investigation into the effects of corrosion and load on reinforcement bond strength is reported. The main variables examined are level of corrosion, pre-load, cover depth, bar type (plain and deformed) and age. It was found that pre-loading the specimens during the corrosion process only affected deformed bar specimens with the greatest cover thickness. Corrosion was seen to enhance the bond strength of plain bars unless cracking and loss of confinement was severe. Unlike the plain bars corroded bond strengths of the deformed bar specimens were less than the non-corroded bond strengths at every level of corrosion tested. An impressed electric current was used to accelerate the corrosion process. Variation of current density was found to change the morphology of the corrosion products and, hence, bond behaviour.
A Novel Approach for User Equipment Indoor/Outdoor Classification in Mobile Networks

The ability to locate users and estimate traffic in mobile networks is still one of the major challenges when it comes to planning and optimizing the networks. Since indoor location is not always possible or precise, having the ability to distinguish indoor from outdoor traffic can be a valuable alternative and/or improvement. In this paper, two different machine learning algorithms are presented to classify a user’s environment, whether indoor or outdoor, using only data from a Long Term Evolution (LTE) network. To test both algorithms, two different measurement campaigns were done. Both campaigns used a smartphone to gather data from the user’s side. The first measurement campaign was done across 6 different cities, ranging from small rural areas to large urban environments, while the second was only done on a large urban city. On the second campaign, Network Traces (NT) data was also collected from the network side. The first algorithm consists on a Random Forest (RF) and the second relies on a Long Short Term Memory (LSTM), thus covering both more traditional machine learning and deep learning approaches. The results varied from 0.75 to 0.91 on the F1-Score, depending on the validation strategy, showing promising results.
FORENSIC AUDIT SKILLS ON CONTEMPORARY AUDIT REPORTS AND ORGANIZATIONAL PRODUCTIVITY

This study sought to determine the forensic audit skills on contemporary audit reports and organizational productivity. Two research questions and two null hypotheses were formulated and tested at 0.05 level of significance. The descriptive survey design was adopted and it was carried out in Akwa Ibom State using two organizations namely; Champion Breweries Plc and Akwa Ibom Water Company. The population consists of 2836 staff while the sample size was 351 staff determined statistically using Taro Yamane formula. The purposive sampling technique was used. The instrument used for data collection was Forensic Audit Skills on Contemporary Audit Report and Organizational Productivity Questionnaire (FASCAROPQ). It was validated by three experts from the University of Uyo. The Cronbach Alpha reliability technique was used in which 0.79 index was obtained. The regression analysis was used in answering the research questions as well as testing of null hypotheses at 0.05 level of significance. The findings reveal that data mining skill and computer assisted audit techniques significantly predict organizational productivity to a high level. Based on the findings of the study, it was concluded that forensic audit skills are very paramount to operators of any organization in order to correct the irregularities of contemporary audit report. Therefore, it is recommended among others that owners and managers of organization should ensure that their auditors adhere to data mining skill for effective audit report that would lead to optimal productivity of the organization. Article visualizations:
Neural networks applied to preventive control measures for the dynamic security of isolated power systems with renewables

This paper presents an artificial neural network (ANN) based approach for the definition of preventive control strategies of autonomous power systems with a large renewable power penetration. For a given operating point, a fast dynamic security evaluation for a specified wind perturbation is performed using an ANN. If insecurity is detected, new alternative stable operating points are suggested, using a hybrid ANN-optimization approach that checks several feasible possibilities, resulting from changes in power produced by diesel and wind generators, and other combinations of diesel units in operation. Results obtained from computer simulations of the real power system of Lemnos (Greece) support the validity of the developed approach.