Miracle-dz/UniFAR-FTUs huggingface dataset:
Switching locomotive as a part of smart electrical grid

Abstract Today, the concept of smart electrical grids is well developed and becoming more popular. The main components of every single smart grid are the distributed energy generation and energy storage elements. The energy produced by the alternative energy sources (e.g. wind and solar plants), as well as regenerative elements (e.g. elektrical braking), usually does not follow synchronously the consumption, meaning that energy storage devices are needed to balance the production and consumption. There are several different energy storage solutions available today. This paper presents a possibility how to integrate a diesel-electric switching locomotive with smart electrical grid and how to improve the efficiency of switching locomotive by using the modern energy storage devices.
TQM Best Practices: Experiences of Malaysian SMEs

Abstract The progress of TQM in SMEs, particularly in developing countries, is a significant research issue at present. This paper presents some of the most important findings of three case studies, undertaken at SME companies in Malaysia. The companies comprise medium-scale automotive parts and plastics manufacturers, and a smaller food manufacturing company. Each company case provides insights into the issues facing SMEs, who are trying to develop more advanced quality management approaches. The case studies involved structured interviews with top management at each company, based on the award criteria of the Malaysian Quality Management Excellence Award (QMEA). The case study analysis illustrates that the companies studied have adopted distinct approaches to the implementation of TQM, which could be shared by other SMEs. Some of the key issues that have been addressed by the case study companies can be summarized as: effective top management commitment, an effective steering committee engaged in policy and planning management, real employee involvement, employee rewards and skills development. The issues of benefits perceived, barriers and quality progress of the companies are also presented in the paper.
Humans Rapidly Estimate Expected Gain in Movement

Westudiedhumanmovementplanningintasks in which subjects selected one of two goals that differed in expected gain. Each goal configuration consisted of a target circle and a partially overlapping penalty circle. Rapid hits into the target region led to a monetary bonus; accidental hits into the penalty region incurred a penalty. The outcomes assigned to target and penalty regions and the spatial arrangement of those regions were varied. Subjects preferred configurations with higher expected gainwhetherselectioninvolvedarapidpointingmovement or a choice by key press. Movements executed to select one of two goal configurations exhibited the same movement dynamics as pointing movements directed at a single con- figuration, and were executed with the same high effi- ciency. Our results suggest that humans choose near-
Efficiency of Equilume light mask on the resumption of early estrous cyclicity and ovulation in Thoroughbred mares

Abstract Equilume light masks had no impact on hastening the resumption of estrous cyclicity in mares maintained in outdoor pastures on the mainland of Korea due to the cold weather conditions. Jeju Island is a major horse-breeding site in Korea and is warmer than the mainland during the winter season. Therefore, the primary objective of this study was to explore the efficiency of the Equilume light mask on the resumption of seasonal estrous cycles in Thoroughbred mares on Jeju Island. A total of 20 nonpregnant mares were randomly divided into the Equilume light mask (n = 9) and stable lighting (n =11) groups. The experiment was performed at seven different horse-breeding farms located on Jeju Island from November 15, 2020, to February 15, 2021. The mares were exposed to the respective lights from 16:00 to 23:00. Follicle size and uterine edema were measured by ultrasound scanning. Body condition scores (BCS) were also monitored during the experiment. Statistical analysis was conducted using the SAS and SPSS software, and p-values of < 0.05 were considered statistically significant. Two of the nine (22.2%) mares in the Equilume light mask group and three of the 11 (27.28%) mares in the stable lighting group were still cycling in December and January, which were considered as all-year-round cycling mares. On February 15, there was no difference between groups in the resumption of early seasonal estrus cycle, which was determined by follicles > 25 mm in addition to uterine edema. All mares in the Equilume light mask group and five of the eight mares (62.5%) in the stable lighting group had resumed cycling. Interestingly, six of the seven mares (87.5%) in the Equilume light mask and four of eight mares (50%) in the stable lighting group had already ovulated on February 15 (p > 0.05), as determined by the presence of a recent corpus luteum. No difference was observed in BCS and uterine edema between groups (p > 0.05). In conclusion, the Equilume light mask can be an effective approach to induce early seasonal estrus cycles of mares in Jeju Island, and it also enhances the efficiency of farm management by reducing labor.
A Methodology for Using Assistive Sketch Recognition For Improving a Person’s Ability to Draw

A Methodology Using Assistive Sketch Recognition for Improving a Person’s Ability to Draw. (December 2009) Daniel Meyer Dixon, B.S., Texas A&M University Chair of Advisory Committee: Dr. Tracy Hammond When asked to draw, most people are hesitant because they believe themselves unable to draw well. A human instructor can teach students how to draw by encouraging them to practice established drawing techniques and by providing personal and directed feedback to foster their artistic intuition and perception. This thesis describes the first methodology for a computer application to mimic a human instructor by providing direction and feedback to assist a student in drawing a human face from a photograph. Nine design principles were discovered and developed for providing such instruction, presenting reference media, giving corrective feedback, and receiving actions from the student. Face recognition is used to model the human face in a photograph so that sketch recognition can map a drawing to the model and evaluate it. New sketch recognition techniques and algorithms were created in order to perform sketch understanding on such subjective content. After two iterations of development and user studies for this methodology, the result is a computer application that can guide a person toward producing his/her own sketch of a human model in a reference photograph with step-bystep instruction and computer generated feedback.
Recognizing Effective Factors in Creating Prevalent High-Schools in Tehran

This study investigates the effective factors in creating prevalent high school in Tehran from school manager's point of view. For selecting control groups and to elevate accuracy of study, 400 high school managers, 216 male (54%) and 184 female (46%), used on basis of simple random sampling and sample mass determining formula. Research tools include a 70-question questionnaire designed by the researcher, its validity was approved by Chronbach's alpha and its generalizability by structure generalizability. The most common statistical test, known as factor analysis test was used to approve data description and generalizing research results to the society from which the results were extracted. Total of 9 factors were detected, 50.34% of which cannot determine overall effective factor variance in creating prevalence school. According to the current research, there are 9 factors (F) affecting creation of prevalence schools: Skills of managers (25.265%, factor 1, F1); Ability of teachers (4.548%, F2); Equipping schools with technology and using it (Smart School, 4.427, F3); Objective celebration of religious and national ceremonies (3.359%, F4); Acquiring international standards (2.862%, F5); Success of students in entering higher education institutions (2.750%, F6); Participation of students and their parents in school problems (2.449%, F7); Dominance of human relationships in school (2.293%, F8); Using efficient tools for encouragement and punishment (2.217%, F9), which all can determine total variance.
Pathum Raksa Project: Addressing Disparity in Breast Cancer Care Through National Innovation in Thailand

Purpose Breast cancer is a growing public health challenge in Thailand. Pathum Raksa project was launched in 2015, as a result of higher than expected rate of triple-negative breast cancers in Thai women. The purpose of this project was to identify the cause(s) and address the issue(s), hence improving the quality of breast cancer biomarker testing in Thailand. Materials and Methods Nineteen hospitals across the country, with 902 breast cancer patients were enrolled in this study during 2015–2020. The pre- and post-data from Pathum Raksa initiative was only available for Khon Kaen University (KKU) and Udonthani hospitals in Northeast Thailand. We developed a resource-stratified strategic plan that included designing a unique specimen container, forming multidisciplinary teams from the Surgery and Pathology Departments, and employing locally developed innovative technologies to optimize the entire process of breast cancer diagnostics and biomarker testing. Results The rate of triple-negative breast cancers in KKU and Udonthani decreased 52.8% (p = 0.02) and 28.9% (p = 0.48), respectively. The rate of ER+ breast cancers in both hospitals increased 5% post-Pathum Raksa implementation. The rate of HER2-neu+ (score 3+) also increased in both hospitals (particularly an increased 65% rate in KKU). Luminal A/B cancers were the most common subtype in both KKU and Udonthani hospitals. Conclusion Pathum Raksa project has significantly improved breast cancer biomarker testing in Thailand. As a result of this national innovation, false-negative rates of breast biomarkers have significantly decreased, resulting in improving prognosis, treatment, and survival of breast cancer women in Thailand.
Treatable Traits in Chronic Respiratory Disease: A Comprehensive Review

Chronic respiratory diseases are major contributors to the global burden of disease. While understanding of these diseases has improved, treatment guidelines have continued to rely on severity and exacerbation-based approaches. A new personalised approach, termed the “treatable traits” approach, has been suggested to address the limitations of the existing treatment strategies. We aim to systematically review the current evidence regarding treatable traits in chronic respiratory diseases and to identify gaps in the current literature. We searched the PubMed and Embase databases and included studies on treatable traits and chronic respiratory diseases. We then extracted information on prevalence, prognostic implications, treatment options and benefits from these studies. A total of 58 papers was included for review. The traits identified were grouped into five broad themes: physiological, biochemical, psychosocial, microbiological, and comorbidity traits. Studies have shown advantages of the treatable traits paradigm in the clinical setting. However, few randomised controlled trials have been conducted. Findings from our review suggest that multidisciplinary management with therapies targeted at treatable traits has the potential to be efficacious when added to the best practices currently implemented. This paradigm has the potential to improve the holistic care of chronic respiratory diseases.
Assessment of Risk of Musculoskeletal Disorders among Crane Operators in a Steel Plant: A Data Mining–Based Analysis

Prevalence of musculoskeletal disorders (MSD) among industrial workers is often measured through the Nordic Musculoskeletal Questionnaire (NMQ) survey that captures the MSD complaints across different body parts. The outcomes of such a survey are reported in terms of relative frequency of MSD complaints for the body parts affected and are analyzed through t test, analysis of variance, or logistic regression. The study augments the analysis of NMQ data using relative risk, a statistical measure of prevalence, and classification and regression tree (CART), a data mining–based decision tree. The integrated analysis is done for 76 crane operators of a steel plant in India that considers operators, task, and workplace characteristics as predictors of MSD. The relative risk indices for each of the predictor categories compare the risk of prevalence of MSD. The outcomes of CART‐based analysis are objective importance scores that quantify the contributions of the predictors toward the occurrence and severity of MSD. A risk priority index is computed to prioritize the predictor variables with categories in terms of their contribution. The study shows that the lower back and neck and shoulder are the most affected and account for 78.75% of the MSD complaints. CART shows that crane height contributes the maximum for MSD occurrences of both lower back and neck and shoulder. However, for MSD severity, while crane height contributes the most for neck and shoulder, cabin feature (static or movable) contributes the maximum for the lower back.
Perinatal outcomes of intrahepatic cholestasis of pregnancy from two birth cohorts: A population-based study

Background Intrahepatic cholestasis of pregnancy (ICP) is a complex liver disease with varying incidence worldwide. We compared ICP incidence and pregnancy outcomes with outcomes for normal pregnant controls. Methods We conducted a retrospective data analysis of perinatal registry data for the years 2011 and 2017 to compare the following outcome measures: stillbirths, labour induction, gestational diabetes, pre-eclampsia, antepartum haemorrhage, postpartum haemorrhage, preterm births, low Apgar score, acute neonatal respiratory morbidity, meconium aspiration and in-hospital neonatal death. Results The incidence of ICP was 8 per 1000 births from a total 31,493 singleton births with more cases in 2017 than in 2011. Women with ICP were almost six times more likely to have labour induced including significantly more moderate preterm births (defined as between 32 weeks and 36 weeks and 6 days of gestation)) seen more in 2011 than in 2017. Conclusion Women with ICP showed higher incidence of moderate preterm birth and induced labour but favourable maternal and neonatal outcomes.
Do NPM Strategies Lead to Negative Organizational Behavior? Lessons from the Differential Effects of Contracting Out on Voluntary Turnover

While public sector organizations have increasingly utilized New Public Management (NPM) strategies as a means of increasing the values of the market, a growing body of literature suggests that market-based reforms may generate indirect costs associated with negative organizational behaviors in the public sector. Focusing on probable consequences of government contracting out for the public workforce, this study examines the relationship between contracting out and voluntary turnover relying on a panel data of U.S. federal agencies from 2010 to 2017. The results present that contracting activity is associated with voluntary quits in the opposite direction depending on the level of job satisfaction. This finding disentangles the previous discussion on the relationship between NPM strategies and employee behavior.
Real-Time Onboard Global Nonlinear Aerodynamic Modeling from Flight Data

Flight test and modeling techniques were developed to accurately identify global nonlinear aerodynamic models onboard an aircraft. The techniques were developed and demonstrated during piloted flight testing of an Aermacchi MB-326M Impala jet aircraft. Advanced piloting techniques and nonlinear modeling techniques based on fuzzy logic and multivariate orthogonal function methods were implemented with efficient onboard calculations and flight operations to achieve real-time maneuver monitoring, near-real-time global nonlinear aerodynamic modeling, and prediction validation testing in flight. Results demonstrated that global nonlinear aerodynamic models for a large portion of the flight envelope were identified rapidly and accurately using piloted flight test maneuvers during a single flight, with the final identified and validated models available before the aircraft landed.
A Turn Model Based Router Design for 3D Network on Chip

Network on chip (NoC) is emerging as a new trend for a System on chip (SoC) design. The key advantages of NoC are high performance and scalability. Despite those improvements over the conventional shared-bus based systems, NoC are not shown as the ideal solution for the future SoC. Recently, with the three dimension (3D) technology. The 3D NoC has been designed to overcome the high power consumption, high- cost communication and low throughput. This paper present a 3D router design which can support seven requests simultaneously. The traditional Turn Model technique used in 2D NoC has been extended in the case of 3D NoC in order to avoid deadlock conflicts. Experimental results in terms of area, power and clock frequency, relatively to 2D NoC and others famous 3D routers has been discussed.
The Study and Application of Gaussian Process Surrogate Model Based on Gradient Particle Swarm Optimized Hyper-Parameters

Constructing a high-fidelity surrogate model to optimize production process is often required to meet the requirement of manufacturing process programming ,one of the most popular techniques for the construction of such a surrogate model is that of Gaussian process surrogate model. In this paper, the development of a gradient particle swarm optimization is described, which aims to reduce the cost of this likelihood optimization by drawing on an efficient adjoint of the likelihood, and improve the precision of the model. A multimodal benchmark function was used to test, show that the tuning strategy can provide an accurate Gaussian process surrogate model. Based on LHS ,Gaussian process surrogate model (GP) and gradient particle swarm optimization algorithm (GPSO), a optimization model which is used for improving the quality of Al profile welding is built and utilized to obtain optimal multi-parameters of Al alloy proﬁle extruding processes and moulds. Optimal solution is validated by experiment.
30-year cone production dynamics in Siberian stone pine (Pinus sibirica) in the southern boreal zone: a causal interpretation

Background and aims – Siberian stone pine is a keystone species for Siberia, and numerous studies have analyzed Siberian stone pine seeding dynamics in connection with the dynamics of weather conditions. However, all studies were based on observations before 1990. The aim of the study was to expand our knowledge about the balance of weather and climatic factors in the regulation of cone production to enable conclusions about the current reproductive function in Siberian stone pine.Material and methods – We monitored Siberian stone pine cone production in the southeastern region of the Western Siberian Plain, in association with climatic factors, over a period of 30 years. To analyze the relationship with weather conditions, we used the trait mature cone number per tree and weather data obtained from the weather station in Tomsk.Key results – During this period, cone production decreased by about one-third, mainly caused by the complete absence of high yields. The main factor negatively affecting cone production was late spring frost: severe frost occurring with a large accumulated sum of effective temperatures resulted in full cone loss, and light frost substantially reduced cone number. A less important but significant climatic factor was September temperature: as the temperature increased, the cone number decreased in the following year. Over the last 30 years, the sum of the effective temperatures at which the last spring frost occurs, as well as the average September temperature, increased considerably, resulting in reduced cone production.Conclusion – If the current climatic trend is maintained, and especially if it is strengthened, Siberian stone pine cone production in the southern boreal forest zone on the Western Siberian Plane is unlikely to provide for the effective renewal of the species.
Design, Simulation and Manufacturing of A Rectangular Micro Strip Antenna on The Body

© 2014 AENSI Publisher All rights reserved. To Cite This Article: Pegah Rezapour and Arash Rezapour. , Design, Simulation and Manufacturing of A Rectangular Micro Strip Antenna on The Body. J. Appl. Sci. & Agric. , 9(3): 1161-1168, 2014
INflUeNCe Of mUsCUlaR ImbalaNCes ON pelvIC pOsITION aND lUmbaR lORDOsIs: a TheOReTICal basIs

This body of research originated as the theoretical basis for part of a dissertation. The aim of this literature review was to obtain a clear picture of the relationships between individual systems which contribute to the development of muscle imbalances. In particular the relationships involved in activation of muscles located in the abdominal wall and back, the position of the pelvis and spine, the associated skeletal muscles found in these areas, as well as the behavior of abdominal muscles in relation to breathing. Based on an analysis of the literature, it was possible to make some generalizations that should be taken into account during the planning of scientific experiments, as well as the planning of preventive or therapeutic strengthening exercises: 1) There is a mutual relationship between the position of the pelvis and the shape of the spine, as well as the function of the abdominal and back muscles. 2) The position of the pelvis and the shape of the lumbar spine are subject to influence from other parts of the musculoskeletal system. These influences come from both the lower limbs and the upper regions of the torso. 3) Skeletal muscle structure, pelvic position and the shape of the spine vary with age. There is a relative increase in the number of slow-twitch fibres within the muscles, which leads to changes in postural functionality. The pelvis gradually tilts forward and results in horizontalization of the sacrum and a deepening of lumbar lordosis. 4) Previously noted age-related changes can exacerbate pathological conditions of the lower back. 5) Muscles can generally be divided into two groups: those muscles which are primarily involved in local stabilization and those primarily involved in movement and coordination of multiple sections of the musculoskeletal system.
An Effective Algorithm for Mining Forum Users Association Rules

Traditional algorithm for mining association rules need to scan the database many times when mining association rules, which are inefficient and time-wasting. In the light of the defects of traditional algorithm, this paper introduces the improvement of community partition algorithm into the process of association mining and uses the Internet forum users’ data of a university as the object of the new algorithm for mining association rules. The experiment shows that the new algorithm can help optimize the data association rules mining and reduces the times and time of scanning the database, so the mining efficiency is greatly enhanced.