Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting first year academic success of the student-athlete population at the University of Missouri

This study compares the predictive validity of the Office of University Admission’s model to predict first year grade point average for student athletes at the University of Missouri. In a majority of the cases, it was found that student athletes had higher first year grade point averages than the campus prediction. Based on these findings, the researcher used a stepwise multiple regression to identify variables that account for a significant portion of the variance in first year grade point average for student athletes. The research was able to identify a significant model including three variables that explained 50% of the total variance in first year GPA. High school GPA (42%), ACT composite (5%), and aid status (2.5%) were significant predictors of first year academic performance for student athletes at the University of Missouri.
Army-NASA aircrew/aircraft integration program: Phase 4 A(3)I Man-Machine Integration Design and Analysis System (MIDAS) software detailed design document

The Man-Machine Integration Design and Analysis System (MIDAS) is an integrated suite of software components that constitutes a prototype workstation to aid designers in applying human factors principles to the design of complex human-machine systems. MIDAS is intended to be used at the very early stages of conceptual design to provide an environment wherein designers can use computational representations of the crew station and operator, instead of hardware simulators and man-in-the-loop studies, to discover problems and ask 'what if' questions regarding the projected mission, equipment, and environment. This document is the Software Product Specification for MIDAS. Introductory descriptions of the processing requirements, hardware/software environment, structure, I/O, and control are given in the main body of the document for the overall MIDAS system, with detailed discussion of the individual modules included in Annexes A-J.
Exploring Key Decisive Factors in Manufacturing Strategies in the Adoption of Industry 4.0 by Using the Fuzzy DEMATEL Method

Globalization has created a highly competitive and diverse market, an uncertain and risky business environment, and changing customer expectations. An effective manufacturing strategy reduces complexity and provides organizations with a well-organized manufacturing structure. However, existing research on manufacturing strategies appears scattered, lacking systematic understanding and finding no causal relationship between manufacturing strategies’ outputs (MSOs) and their importance. Therefore, this study is a pioneer in identifying the influential factors of MSOs in the adoption of Industry 4.0 (I4.0) technologies utilizing the decision-making trial and evaluation laboratory (DEMATEL) approach. This method is considered an effective method for identifying the cause-effect relationship of complex problems. It evaluates interdependent relationships among MSO factors from the perspective of academic and industry experts. Identifying cause and effect factors leads to increasing the market’s competitiveness and prioritizing them. To deal with the vagueness of human beings’ perceptions, this study utilizes fuzzy set theory and the DEMATEL method to form a structural model. Results show that customer satisfaction, cost per unit produced, and the number of advanced features are the main factors influencing MSOs.
Fault Current Bypass-Based DC SSCB Using TIM-Pack Switch

This letter proposes a new bypass-based solid-state circuit breaker (SSCB) using a thyristor–insulated-gate bipolar transistor (IGBT)–metal oxide varistor (MOV) switch, named TIM-Pack, for dc applications. The presented SSCB features three key advantages. First, the stored inductive energy of dc systems is prevented from flowing through faulty sections, and the reaction speed is within microseconds, which enhances safety. Second, MOVs are disconnected from the power line during the off state, which improves reliability. Third, the proposed topology takes full use of the benefits of high-power rating thyristors in a TIM-pack. To validate the proposed SSCB, experiments on a 600-V/145-A scale-down prototype are conducted. Results show that the fault current reduces to zero in 6 μs, and the peak voltage on the main and auxiliary thyristors reaches 826 and 600 V, respectively, whereas the overshoot voltage on the main and auxiliary IGBTs reaches 185 and 245 V, respectively.
Effect evaluation of the construction of water-saving society in Shanghai

The effect evaluation of the construction of water-saving society has great significance for the experience summary of the evaluation region,and also provides references for the whole society to promote water-saving construction.Based on the statistical data of the construction of water-saving society in Shanghai,the matter element analysis method was used to develop an evaluation index system and the weight of each index was calculated using the factor contribution rates.Year 2002 was considered as the base year,and the evaluation index system was used to evaluate the effects of the construction of water-saving society in Shanghai from 2008 to 2012.The results showed that the effects of the construction of water-saving society in Shanghai are about average from 2008 to 2009,but above average from 2010 to 2012and improve every year.Compared with year 2002,the level of water-saving construction develops rapidly,even though there is lack of industrial water-saving.The evaluation results are consistent with the actual situations of water-saving construction in Shanghai,which indicates that the matter element analysis model is adaptable to the evaluation of regional water-saving construction and therefore it has good application value and promotion prospect.
Innovative Budgeting in a Competitive University Environment: Theoretical Concept and Design Considerations for an Information System

The ongoing trend of declining public finances forces state-owned German universities to adapt to increasingly competitive environments and to achieve a high profile not only on the university level, but also on the level of single schools, in order to survive the change process. In order to improve and to control the schools' performance output effectively and to be able to provide incentives, it is inevitable to develop new means of resource distribution on the school level to stimulate goal-oriented efforts of all the members of the school. In this paper, we present a new approach to a goal-oriented budgeting system on school level, which can help to ensure the achievement of the strategic goals of the school. The second part of this paper is dedicated to the creation of an object-oriented analysis and design model of the proposed budgeting approach's problem domain as a starting point for the implementation of a software information system that can assist with planning and allocating budgets for the school's departments.
Analysis of valve gear dynamics with a digital computer

In this investigation, a pushrod operated valve train is simulated by mathematical models of two, three, four, ten, and fifteen degress of freedom. A number of important features are included in the simulation, such as tappet clearance, linkage separation, valve bounce, and valve spring surge. Solutions of the response to cam lift function under specified running conditions, are obtained by numerical means with a digital computer. These are compared with experimental records of pushrod load and valve displacement on a running engine. The use of similar programs to predict valve gear performance is justified by the excellent agreement obtained.
An Investigation on Enlightening Performance in an Overburdened Highway System by Integrating Roadside Technologies

Highway travel is the lifeblood of modern industrial nations. The larger roads are sorely over burdened: around the major cities, heavy usage slows most peak-hour travel on freeways to less than 60 kilometers per hour. In all excessive traffic causes more than five billion hours delay every year; it wastes countless gallons of fuel and needless multiplies exhaust emission. The main goal of this paper is to make the experience of driving less burdensome and accident less, especially on long trips. This can be achieved by making the highway itself part of the driving experience and integrating roadside technologies that would allow the overburdened highway system to be used more efficiently. The automobile will have automatic throttle, braking and steering control. Here is a system to host these cars consist of roadside sensors that obtain information about current traffic condition and rely them to receives in the automobile on the road. The automobile can be grouped together at highway speeds, 65-70MPH, no more than a few feet apart, which make better use of the available roadways. In this manner, the traffic system and the automobiles work together to bring passengers safely and quickly to their destination. Keywords— Integrating roadside technologies, overburdened highway system, automatic throttle, braking control, steering control.
Comparative Analysis of Volatile Constituents in Root Tuber and Rhizome of Curcuma longa L. Using Fingerprints and Chemometrics Approaches on Gas Chromatography–Mass Spectrometry

The root tuber and rhizome of Curcuma longa L. , abbreviated, respectively, as RCL and RHCL, are used as different medicines in China. In this work, volatile oils were extracted from RCL and RHCL. Then, gas chromatography–mass spectrometry (GC–MS) was used for RCL and RHCL volatile oils analysis, and 45 compounds were identified. The dominant constituents both in volatile oils of RCL and RHCL were turmerone, (−)-zingiberene, and β-turmerone, which covered more than 60% of the total area. The chromatographic fingerprint similarities between RCL and RHCL were not less than 0.943, indicating that their main chemical compositions were similar. However, there were also some compounds that were varied in RCL and RHCL. Based on the peak area ratio of 45 compounds, the RCL and RHCL samples were separated into principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Then, 20 compounds with a variable importance for the projection (VIP) value of more than 1 were the high potential contributors for RCL and RHCL differences. Furthermore, ferric ion-reducing antioxidant power (FRAP) assay results demonstrated that the volatile oils of RCL and RHCL had antioxidant activities. This study provided the material basis for the research of volatile components in RCL and RHCL and contributed to their further pharmacological research and quality control.
Hybrid Missing Value Imputation Algorithm- KLR

The data mining process mainly deals with the estimation, prediction, pattern extraction, and classification in big databases. The presence of missing values in the dataset decreases the accuracy of data mining classifiers. Therefore it is necessary to deal with missing values in the dataset to achieve accurate results. To improve the quality of data and prediction accuracy in the classification process, the authors have proposed a new hybrid missing value prediction algorithm, KLR, by combining the KNN and linear regression approach. The proposed KLR algorithm has been used for class validation and missing values imputation. Wisconsin Breast Cancer Diagnostic Dataset of 569 instances with 32 attributes from the machine learning repository of UCI, Irvinewasused to conduct the study. The Pearson Coefficient Correlation method is used for feature selection.Data normalization is performed using Min-max scaling technique. The Scikit-learn library for machine learning in python is used to complete all the experiments as the experimental framework. The mean square error method is used to evaluate the performance of the model. The proposed KLR algorithm with 450 nearest neighbors out of 569 gives the lowest MSE ie 0.00188 and more accurately predicts the missing values as compared to the classic models.
Quantifying the Trends and Variations in the Frost-Free Period and the Number of Frost Days across China under Climate Change Using ERA5-Land Reanalysis Dataset

Understanding the spatio-temporal variations in the frost-free period (FFP) and the number of frost days (FD) is beneficial to reduce the harmful effects of climate change on agricultural production and enhancing agricultural adaptation. However, the spatio-temporal variations in FFP and FD and their response to climate change remain unclear across China. To investigate the impact of climate change on FFP and FD, the trends and variations in FFP and FD across China from 1950 to 2020 were quantified using ERA5-Land, a reanalysis dataset with high spatial and temporal resolution. The results showed that ERA5-Land has good applicability in quantifying the trends and variations in FFP and FD across China under climate change. The spatial distribution of multi-year average FFP and FD across China showed significant latitudinal zonality and altitude dependence, i.e., FFP decreased with increasing latitude and altitude, while FD increased with increasing latitude and altitude. As a result of climate warming across China, the FFP showed an increasing trend with an increase rate of 1.25 d/10a and the maximum increasing rate of FFP in the individual region was 6.2 d/10a, while the FD showed a decreasing trend with a decrease rate of 1.41 d/10a and the maximum decreasing rate of FD in the individual region was −6.7 d/10a. Among the five major climate zones in China, the subtropical monsoon climate zone (SUMZ) with the greatest increasing rate of 1.73 d/10a in FFP, while the temperate monsoon climate zone (TEMZ) with the greatest decreasing rate of −1.72 d/10a in FD. In addition, the coefficient of variation (Cv) of FFP showed greater variability at higher altitudes, while the Cv of FD showed greater variability at lower latitudes in southern China. Without considering the adaptation to temperature of crops, a general increase in FFP and a general decrease in FD were both beneficial to agricultural production in terms of FFP and FD promoting a longer growing period and reducing frost damage on crops. This study provides a comprehensive understanding of the trends and variations in FFP and FD under climate change, which is of great scientific significance for the adjustment of the agricultural production layout to adapt to climate change in China.
Trametes robiniophila Murr Sensitizes Gastric Cancer Cells to 5-Fluorouracil by Modulating Tumor Microenvironment

Trametes robiniophila Murr (TRM) is a traditional Chinese medicine which has been used in clinics for enhancing immunity and improving the efficacy of chemotherapy. However, the mechanisms of action of TRM are unknown. In the previous study, we found that the Trametes robiniophila Murr n-butanol extract (TRMBE) comprises the major bioactive components of TRM. In the present study, we aimed to assess the combinational effects of TRMBE and 5-fluorouracil (5-FU) on the treatment of gastric cancer (GC) and explore its mechanism of action. It was found that TRMBE significantly potentiated the anticancer activity of 5-FU and prolonged the survival time of mice bearing Mouse Forestomach Carcinoma (MFC) xenograft tumors. We observed that the combination of TRMBE and 5-FU decreased the risk of liver metastasis in vivo. Furthermore, the combination of TRMBE and 5-FU reduced the levels of immune cytokines IL-6, IL-10, and TGF-β and increased the level of IFN-γ in peripheral blood. This combination therapy also significantly decreased the levels of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) and PD-1-positive CD8+ T cells and increased the levels of NK cells in tumor microenvironment (TME). However, TRMBE treatment was unable to enhance the chemosensitivity of GC to 5-FU in vivo after the depletion of CD8+ T and NK cells. Taken together, our results demonstrate that TRMBE can reshape the TME of GC by regulating PMN-MDSCs, CD8+ T cells, and NK cells, therefore improving the therapeutic effects of 5-FU. This study suggests that the combination of TRMBE and 5-FU could enhance immunity and could be a promising approach for GC treatment.
Prediction of mutations in H5N1 hemagglutinin from influenza A virus with and without ending codon

The successful prediction of mutations and recombination is perhaps the most important step for the preparedness against any emerging diseases. Our group had developed a model for the prediction of possible mutations in H5N1 hemagglutinin from influenza A virus. However, much more effort is needed to enhance the predictability. In this study, we include the RNA STOP codon from hemagglutinin for prediction because influenza A virus is a RNA virus and mutations occurred in RNA STOP codon. A total of 429 H5N1 hemagglutinins of influenza A viruses are used in a logistic regression model because it can include the interaction of two independent variables for comparison between the predictions including RNA STOP codons and the predictions without RNA STOP codons. The results demonstrated that the predictions with RNA STOP codons are better than the predictions without RNA STOP codons. Thus, the inclusion of RNA STOP codons does enhance the predictability.
Research on the Extraction of Hazard Sources along High-Speed Railways from High-Resolution Remote Sensing Images Based on TE-ResUNet

There are many potential hazard sources along high-speed railways that threaten the safety of railway operation. Traditional ground search methods are failing to meet the needs of safe and efficient investigation. In order to accurately and efficiently locate hazard sources along the high-speed railway, this paper proposes a texture-enhanced ResUNet (TE-ResUNet) model for railway hazard sources extraction from high-resolution remote sensing images. According to the characteristics of hazard sources in remote sensing images, TE-ResUNet adopts texture enhancement modules to enhance the texture details of low-level features, and thus improve the extraction accuracy of boundaries and small targets. In addition, a multi-scale Lovász loss function is proposed to deal with the class imbalance problem and force the texture enhancement modules to learn better parameters. The proposed method is compared with the existing methods, namely, FCN8s, PSPNet, DeepLabv3, and AEUNet. The experimental results on the GF-2 railway hazard source dataset show that the TE-ResUNet is superior in terms of overall accuracy, F1-score, and recall. This indicates that the proposed TE-ResUNet can achieve accurate and effective hazard sources extraction, while ensuring high recall for small-area targets.
A Continues 360° CMOS phase shifter for 60GHz phased array applications

The overall designing of one 90nm CMOS reflective-type phase shifter for the first three channels in 60 GHz band is described. The performance investigation is based on full wave electromagnetic analysis and optimization. The simulation predicts a phase tuning range of 360° as a function of control voltage with an average insertion loss of 5.5 dB over all phase states. The linearity of the phase shifter makes it suitable for the phased array transmitter because it is the out
Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis

Understanding the lifetime behavior of their products is crucial to the success of any company in the manufacturing and engineering industries. Statistical methods for lifetime data are a key component to achieving this level of understanding. Sometimes a statistical procedure must be updated to be adequate for modeling specific data as is discussed in Chapter 2. However, there are cases in which the methods used in industrial standards are themselves inadequate. This is distressing as more appropriate statistical methods are available but remain unused. The research in Chapter 4 deals with such a situation. The research in Chapter 3 serves as a combination of both scenarios and represents how both statisticians and engineers from the industry can join together to yield beautiful results. After introducing basic concepts and notation in Chapter 1, Chapter 2 focuses on lifetime prediction for a product consisting of multiple components. During the production period, some components may be upgraded or replaced, resulting in a new “generation” of component. Incorporating this information into a competing risks model can greatly improve the accuracy of lifetime prediction. A generalized competing risks model is proposed and simulation is used to assess its performance. In Chapter 3, optimal and compromise test plans are proposed for constant amplitude fatigue testing. These test plans are based on a nonlinear physical model from the fatigue literature that is able to better capture the nonlinear behavior of fatigue life and account for effects from the testing environment. Sensitivity to the design parameters and modeling assumptions are investigated and suggestions for planning strategies are proposed. Chapter 4 considers the analysis of ADDT data for the purposes of estimating a thermal index. The current industry standards use a two-step procedure involving least squares regression in each step. The methodology preferred in the statistical literature is the maximum likelihood procedure. A comparison of the procedures is performed and two published datasets are used as motivating examples. The maximum likelihood procedure is presented as a more viable alternative to the two-step procedure due to its ability to quantify uncertainty in data inference and modeling flexibility.
Patients with a Higher Number of Periodic Limb Movements Have Higher Nocturnal Blood Pressure

There is growing evidence that periodic limb movements in sleep (PLMS) may lead to increased blood pressure (BP) values during the night. The aim of this study was to assess if patients with disordered sleep and an increased number of PLMS have higher BP values at night. We analyzed 100 polysomnographic (PSG) recordings of patients with disordered sleep, with the exclusion of sleep-related breathing disorders. Patients also registered beat-to-beat blood pressure during PSG. We compared the BP of patients with an increased number of PLMS (more than 5 PLMS per hour of sleep) during the night (examined group, n = 50) to the BP of patients with a PLMS number within the normal range (up to 5 PLMS per hour of sleep) (control group, n = 50). Patients from the examined group had significantly higher values of systolic BP during the night (119.7 mmHg vs. 113.3 mmHg, p = 0.04), sleep (119.0 mmHg vs. 113.3 mmHg, p = 0.04), and wake (122.5 mmHg vs. 117.2 mmHg, p = 0.04) periods and of diastolic BP during the night (75.5 mmHg vs. 70.6 mmHg, p = 0.04) and wake (77.6 mmHg vs. 71.5 mmHg, p = 0.01) periods. Our results suggest a relationship between the number of PLMS during the night and the values of nocturnal blood pressure. It is possible that their treatment could lower nocturnal BP in patients with sleep disorders, therefore improving their vascular risk profile.