Miracle-dz/UniFAR-FTUs huggingface dataset:
CDOT Strategic Plan for Data Collection and Evaluation of Grade 50 H-Piles into Bedrock

This report presents Phase I of CDOT’s effort to address the issues associated with Colorado-specific resistance factors for driven pile designs. As proven during the process of this research, resistance factors vary with geomaterial types and geological locations. Procedures for the driven piles performance data collection for the evaluation of resistance factors for Grade 50 Steel H-piles penetrating into bedrocks are recommended. The data collection of driven pile performance is planned to continue in Phase II and the benefits of Grade 50 steel piles beyond those of Grade 36 steel piles will be investigated. The research will be expanded to investigate the benefit of using steel driven H-piles with sizes larger than the sizes currently adopted by CDOT, including 18-inch and 24-inch steel H-piles. The benefits in terms of capacity enhancement, pile number reduction in pile group for bridge support, and the associated time and cost savings will be assessed. Different methods for nominal capacity assessment will be used to evaluate the nominal capacities of 18-inch and 24-inch piles. Pile performances will be monitored using pile driving analyzer (PDA), and, if budget permits, load tests will be performed to check the pile capacity calculation. Successful implementation of geotechnical load and resistance factor design (LRFD) procedures in bridge foundation designs requires Colorado-specific resistance factors. When completed at the end of Phase II, this research is expected to provide Colorado-specific geotechnical resistance factors for steel driven pile designs.
Advanced Packaging Materials and Techniques for High Power TR Module: Standard Flight vs. Advanced Packaging

James Patrick Hoffman, Linda Del Castillo, Jennifer Miller, Masud Jenabi and Gajanana Birur Jet Propulsion Laboratory, California Institute of Technology 4800 Oak Grove Drive Pasadena, CA 91109 James.p.hoffman@jpl.nasa. gov Abstract—The higher output power densities required of modern radar architectures, such as the proposed DESDynI [Deformation, Ecosystem Structure, and Dynamics of Ice] SAR [Synthetic Aperture Radar] Instrument (or DSI) require increasingly dense high power electronics. To enable these higher power densities, while maintaining or even improving hardware reliability, requires advances in integrating advanced thermal packaging technologies into radar transmit/receive (TR) modules. New materials and techniques have been studied and compared to standard technologies.
Mindful Heresy as Conscious Social Praxis: Modeling Change Through Violations of Cultural Orthodoxy

This essay positions and explains the inspiration for and development of the concept of Mindful Heresy as an enacted embodiment of expression in conscious violation of hegemonic cultural orthodoxy. This embodied social praxis functions as lived modeling of possibilities for cultural expression, rather than simple expressed opposition to cultural patterns influenced by colonial hegemony and habituated norms. Culture evolves historically to favor conformity. To accomplish social change, a praxis that violates conformity is vital and necessary. Mindful heresy is the choice to do so consciously and intentionally.
An Optimization Method Combining RSSI and PDR Data to Estimate Distance Between Smart Devices

Distance estimation methods arise in many applications, such as indoor positioning and Covid-19 contact tracing. The received signal strength indicator (RSSI) is favored in distance estimation. However, the accuracy is not satisfactory due to the signal fluctuation. Besides, the RSSI-only method has a large ranging error because it uses fixed parameters of the path loss model. Here, we propose an optimization method combining RSSI and pedestrian dead reckoning (PDR) data to estimate the distance between smart devices. The PDR may provide the high accuracy of walking distance and direction, which is used to compensate for the effects of interference on the RSSI. Moreover, the parameters of the path loss model are optimized to dynamically fit to the complex electromagnetic environment. The proposed method is evaluated in outdoor and indoor environments and is also compared with the RSSI-only method. The results show that the mean absolute error is reduced up to 0.51 m and 1.02 m, with the improvement of 10.60% and 64.55% for outdoor and indoor environments, respectively, in comparison with the RSSI-only method. Consequently, the proposed optimization method has better accuracy of distance estimation than the RSSI-only method, and its feasibility is demonstrated through real-world evaluations.
Sex Differences in High-Level Managerial Jobs: Evidence From Professional Basketball

We examine sex differences in a market for high-level managers with simple and clear objectives, head coaches in the Women’s National Basketball Association (WNBA). We find equal proportions of males and females as first-time coaches, and limited evidence that males inherit slightly worse teams. Also, when hired, males are older and have more experience. Males have slightly higher winning percentages for the first few seasons of coaches’ tenures. Furthermore, we find no difference in survival; it is independent of sex and largely determined by performance. Thus, we find female coaches are not held to higher promotion or retention standards in the WNBA.
Minority Resampling Based Ensemble Framework Using Enhanced Early Drift Detection Method For Imbalanced Data Streams

As the data mining applications are increasing popularly, large volumes of data streams are generated over the period of time. The main problem in data streams is that it exhibits a high degree of class imbalance and distribution of data changes over time. In this paper, Timely Drift Detection and Minority Resampling Technique (TDDMRT) based on K-nearest neighbor and Jaccard similarity is proposed to handle the class imbalance by finding the current ratio of class labels. The Enhanced Early Drift Detection Method (EEDDM) is proposed for detecting the concept drift and the Minority Resampling Method (KNN-JS) determines whether the current data stream should be regarded as imbalance and it resamples the minority instances in the drifting data stream. The K-Nearest Neighbors technique is used to resample the minority classes and the Jaccard similarity measure is established over the resampled data to generate the synthetic data similar to the original data and it is handled by ensemble classifiers. The proposed ensemble based classification model outperforms the existing over sampling and under sampling techniques with accuracy of 98.52%.
Analysis of UK/EU Law on Data Mining in Higher Education Institutions

Data or text mining (hereafter called “content mining”) is a process that uses software that looks for interesting or important patterns in data that might otherwise not be observed. An example might be combining a database of journal articles about ground water pollution with one of hospital admissions to detect a pollution-related pattern of disease breakout.It is also a useful tool in commerce. A credit card company might detect a correlation between purchases of tickets from particular airline with purchases of certain types of automobiles and develop a marketing program uniting appropriate vendors. One McKinsey report states that the utilization of ‘big data’ in the sphere of public data alone could create €250 billion annual value to Europe’s economy.Content mining is increasingly accomplished by machine. Databases, particularly those produced by scientific research, are far too large to be scanned by human eyeball. However, the right to mine data is not assured by the law in most jurisdictions and even where it is, the terms of access to the majority of research publication databases deny permission to do so. One recent study indicated that obtaining permission to mine the thousands of articles appearing on a single subject from the myriad of different publishers would require 62% of a researcher’s time. Many content owners, including research institutions, have yet to develop any policy on content mining.This report will identify the main legal barriers to data mining and data reuse and make policy suggestions to guide governments, funding agencies, and research institutions. As the title suggests, the emphasis of the study is about legal issues that are specific to higher education institutions (HEIs). The first challenge for this report is to attempt to delimit the subject matter, as various types of content that are subject to automated analysis. HEIs can hold and share content of various formats, here are just a few examples:Text: published articles, book chapters, preparatory notes, working papers, reports, teaching materials, conference papers, presentations, theses.Datasets: statistical data, geolocation data, survey results, maps, figures, time series, genetic information, health records, computer logs.Multimedia: pictures, sound recordings, interviews, presentations, video.Each of the above may have separate legal regimes applying to them. In the interest of convenience and simplicity, whenever the report talks about database contents, there will be no distinction as to whether we are dealing with text, data or multimedia, unless clearly specified in the text.
I am not an environmental wacko! Getting from early plug-in vehicle owners to potential later buyers

Several conceptual frameworks regarding the spread of new ideas and products rely on movement of information from early to potential later actors. In the case of plug-in electric vehicles (PEVs), achieving social benefits requires that many more households become PEV owners than have so far. Poor information flow beyond existing PEV owners has previously been noted in discussions with them; missing are reports from both sides of such conversations. Workshops were convened with PEV owners and owners of internal combustion engine vehicles (ICEVs) in three regions throughout California. Workshops allowed participants to create an agenda in which ICEV owners asked questions about PEVs, PEV owners responded to those questions and added more they wanted to talk about. ICEV owners were almost universally surprised to hear PEVs are for sale—thus their questions are basic and they had little to contribute to discussions of future developments. PEV owners construct “accounts”—both in the sense of (generally informal) accounting for the costs of buying a PEV (including private benefits conferred by public policy) and in the sense of giving an account, i.e., telling a story, of life with a PEV. Despite the universality (across the three study regions) of many incentives, PEV owners’ accounts show substantial regional variation. The effect on ICEV owners of hearing these accounts was routinely, if not uniformly, to promote a more positive interest in PEVs.
An automated dual horn-reflector microwave absorber measurement system, volume 1

Abstract : In recent years, extreme interest has been shown in materials which absorb electromagnetic energy in the microwave and millimeter frequency bands. One of the primary methods of evaluating Radar Absorbing Materials (RAM) is to obtain the electrical and magnetic constants of permittivity (epsilon) and permeability (mu) of the material from which the RAM is constructed. Usually, the (mu, epsilon) of a typical microwave absorber varies strongly as a function of frequency. Hence, in order to evaluate the performance of a wide band microwave absorber, it would de desirable to design and build a system which measures (mu, espilon) across a wide frequency band. The Dual Horn-Reflector Microwave Absorber Measurement System discussed herein obtains the (mu, epsilon) of a homogeneous rectangular sample of material from 12.6 - 18.0 Gigahertz by measuring the scattering parameters S11(omega) and S21(omega) from the sample directly in the Frequency Domain. The overall accuracy of this measurement system is five to ten percent.
Development Effectiveness: Strategies for IS Organizational Transition

From the Publisher: In an intensely competitive global economy marked by the rapid emergence of new players, products, and services, there's more pressure than ever on information services organizations to provide low-cost, rapidly developed systems to meet the complex, changing needs of their companies. These greater expectations come at a time when the usefulness of current information systems has been severely questioned and the ability of IS organizations to respond more effectively has been hampered by sharp reductions in money and manpower. This latest volume in the groundbreaking Ernst & Young Information Management Series demonstrates how IS managers and other key personnel can create a more productive IS environment by applying the principles of "development effectiveness" to information technology strategies. Development Effectiveness shows how this new cost-effective approach ultimately wins the support of even the most resistant IS personnel. It allows for a successful transition from the current problematic state of most IS organizations to a desired future state in which IS becomes a full partner in helping users meet today's business challenges. Development Effectiveness first details the problems common to IS environments and it also highlights the leading practices of those organizations that are setting new standards for information systems development performance. Development Effectiveness helps lay the foundation for making IS organizations more productive. The book shows how TQM and business process reengineering can be applied within IS and how TQM and organizational change management principles support an appropriate planning framework. It also discusses the process of designing a high-performance IS development organization that gets essential work done while providing enough flexibility to meet changing work needs. The book tackles two of the thorniest obstacles to an effective transition - the strong resistance to change within the organization and the ha
SOME ASPECTS OF THE SAFETY FACTOR IN SOIL MECHANICS, CONSIDERED AS A PROBLEM OF PROBABILITY

APPLICATION OF THE THEORY OF PROBABILITY PERMITS A RATIONAL APPROACH TO THE PROBLEM OF THE SAFETY FACTOR IN SOIL MECHANICS. TWO ASPECTS ARE CONSIDERED IN SOME DETAIL: (1) THE RELATION BETWEEN THE EXTENT OF THE SOIL INVESTIGATIONS AND THE PROBABILITY OF FAILURE OF THE STRUCTURE, AND (2) THE USE OF THE STATISTICAL ECONOMIC DECISION THEORY IN DETERMINING THE ACCEPTABLE PROBABILITY OF FAILURE. /LCPC/RRL/A/
Change Without Pain: How Managers Can Overcome Initiative Overload, Organizational Chaos, and Employee Burnout

The author provides a refreshingly non-revolutionary approach to change based on ten years of research that shows how transitions can be effective, cost-efficient, and painless. In this powerful and refreshing book, he outlines a positive new approach to change called "creative recombination. " Rather than obliterating and then reinventing anew - the change approach advocated by most gurus and "experts" over the last twenty years - creative recombination seeks sustainable, repeatable transformation by using the firm's existing resources more wisely. Abrahamson identifies five key elements that every company has - people, structures, culture, processes, and networks - and offers a broad toolkit of techniques for recombining, reusing, and redeploying these resources to achieve smoother, more cost-efficient, less painful organizational change.
Message from the SoEA4EE 2019 Workshop Chairs

Since its foundation in 2009, the SoEA4EE workshop complements well-established topics of the EDOC conferences such as service-oriented architectures and enterprise service architectures by addressing the coupling of business processes and services and the alignment of business and IT. The SoEA4EE workshop also includes topics such as Business Process Management, Enterprise Service Architectures, Analytics, Big Data, Networked Enterprise Solutions, and their connections.
The pro football encyclopedia : the complete and definitive record of professional football

For nearly thirty years, Macmillan's Baseball Encyclopedia "RM" has set the standard as the most authoritative source for baseball statistics. Now, with the publication of The Pro Football Encyclopedia, gridiron fans have their own comprehensive record book. In addition to breaking new ground in presenting football records, The Pro Football Encyclopedia will incorporate many of the features that have made Macmillan's landmark baseball encyclopedia the recognized source for accurate and reliable statistics: -- A register of every man who ever played in the NFL (over 16,000 to date) -- A complete register of coaches -- Dates, scores, and sites of every NFL game from 1920 through the 1996 season -- Yearly playoff and Super Bowl linescores and statistics -- All-time leaders in major statistical categories -- Listing of award winners and top draft picks -- A section of defunct pro football leagues such as the AAFC, AFL, WFL, and USFL Everything you could possibly want to know about pro football history, its players, coaches, and teams is contained in The Pro Football Encyclopedia, the first-round draft choice for fans of this great sport.
Visual and Verbal Processes in Right-Left Confusion: Psychometric and Experimental Approaches

Errors in discriminating right from left, termed right-left confusion, reflect a failure in translating visuospatial perceptions into verbal representation of right or left (i.e., visuo-verbal process). There may also be verbo-visual process, where verbal cues are translated into visual representations of space. To quantify these two processes underlying right-left confusion, Study 1 investigated the factor structure of the Right-Left Confusability Scale, which assesses daily experiences of right-left confusion. Exploratory factor analysis suggested that these two processes and another factor reflecting mental rotation underlie right-left confusion. Study 2 examined correlations between the (sub)scale scores and performance on orientation judgment tasks reflecting visuo-verbal and verbo-visual processes. Overall, self-reported measures were not associated with the behavioral performances presumably reflecting the two processes. These results suggest that the cognitive mechanisms underlying right-left confusion can be classified into visuo-verbal and verbo-visual processes and mental rotation, although their psychometric and behavioral indices might be distinct. Further studies may develop better assessments of right-left confusion reflecting these processes.
Repurposing Nonnucleoside Antivirals Against SARS-CoV2 NSP12 (RNA Dependent RNA Polymerase) and Identification of Domain Specific Interactions

The pandemic of SARS-CoV-2 has necessitated expedited research efforts towards finding potential antiviral targets and drug development measures. While new drug discovery is time consuming, drug repurposing has been a promising area for elaborate virtual screening and identification of existing FDA approved drugs that could possibly be used for targeting against functions of various proteins of SARS-CoV-2 virus. RNA dependent RNA polymerase (RdRp) is an important enzyme for the virus that mediates replication of the viral RNA. Inhibition of RdRp could inhibit viral RNA replication and thus new virus particle production. Here, we screened non-nucleoside antivirals and found three out of them to be strongest in binding to RdRp. We propose these three drugs as potential RdRp inhibitors based on the site of binding.
Fuzzy multiobjective models for optimal operation of a hydropower system

Optimal operation models for a hydropower system using new fuzzy multiobjective mathematical programming models are developed and evaluated in this study. The models use (i) mixed integer nonlinear programming (MINLP) with binary variables and (ii) integrate a new turbine unit commitment formulation along with water quality constraints used for evaluation of reservoir downstream impairment. Reardon method used in solution of genetic algorithm optimization problems forms the basis for development of a new fuzzy multiobjective hydropower system optimization model with creation of Reardon type fuzzy membership functions. The models are applied to a real‐life hydropower reservoir system in Brazil. Genetic Algorithms (GAs) are used to (i) solve the optimization formulations to avoid computational intractability and combinatorial problems associated with binary variables in unit commitment, (ii) efficiently address Reardon method formulations, and (iii) deal with local optimal solutions obtained from the use of traditional gradient‐based solvers. Decision maker's preferences are incorporated within fuzzy mathematical programming formulations to obtain compromise operating rules for a multiobjective reservoir operation problem dominated by conflicting goals of energy production, water quality and conservation releases. Results provide insight into compromise operation rules obtained using the new Reardon fuzzy multiobjective optimization framework and confirm its applicability to a variety of multiobjective water resources problems.
Efficacy and safety of low-dose everolimus combined with endocrine drugs for patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative metastatic breast cancer

Background To analyze the efficacy and safety of everolimus 5 mg/day in combination with endocrine drugs in the treatment of hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer using real-world clinical data. Methods Clinical data of hormone receptor (HR)-positive and HER2-negative patients with advanced breast cancer treated with everolimus combined with endocrine drugs in our center between August 2012 and May 2017 were retrospectively analyzed. Curative effect and adverse reactions were evaluated. Results A total of 110 patients were enrolled in this study, and 87.3% received salvage chemotherapy. The median number of salvage treatment lines was 5 (range: 1–19). The median follow-up duration was 12 months (range: 1–56.3 months), the overall response rate (ORR) was 6.4%, the clinical benefit rate (CBR) was 31.8%, the median progression-free survival (mPFS) was 4.0 months (95% CI: 2.9–5.1 months), and the median overall survival (OS) was 17 months (95% CI: 12.1–21.9 months). The mPFS for patients who received ≤2 treatment line was 11.8 months (95% CI: 4.3–19.3 months). Univariate and multivariate analyses suggested that absence of liver metastases, secondary endocrine resistance, and number of metastasis sites <3 were the main factors influencing the benefit of everolimus combined with endocrine therapy. The most common adverse events of grade 3 were: stomatitis (5.5%), non-infectious pneumonia (1.8%), and erythra (1.8%). No grade 4 adverse reactions were observed. Conclusions Our results showed that everolimus (5 mg/day) combined with endocrine therapy was effective and relatively safe for patients with hormone receptor-positive, HER2-negative metastatic breast cancer.