Miracle-dz/UniFAR-FTUs huggingface dataset:
PHOTOGRAPHIC ENFORCEMENT OF TRAFFIC LAWS

This synthesis will be of interest to state and local highway agency administrative and executive officers, enforcement agency personnel, attorneys, traffic engineers, and others concerned with managing and enforcing traffic laws at all levels of government. It will also be of interest to manufacturers and marketers of automated speed enforcement (ASE) technology. The synthesis describes the requirements, applications, effectiveness, and issues related to the use of ASE technology. This report of the Transportation Research Board describes the various types of ASE technology as applied in several localities, including descriptions of operational requirements and performance characteristics of these technologies. The synthesis also discusses how citations are processed, and examines the legal and acceptability issues related to ASE technology and public views on these actions. The various technologies on the market at the time of preparation of this synthesis are also described. It should be noted that, as with any application of public surveillance technology, officials are well advised to exercise proper cautions when employing such enforcement procedures.
Southern Sweden tennis development environments for 13-16 years old players: Perspectives of players, coaches, and parents

The study was initiated by Swedish Tennis Syd in collaboration with Halmstad University with the intention to examine the existing tennis talent development environments for 13-16 years of age players. The purpose of the study was to (1) examine the retrospective experiences of the talent de- velopment environments among players who already passed the focal age, (2) examine the retro- spective and concurrent experiences of the talent development environments among tennis coaches, and (3) examine the concurrent experience of the talent development environments among parents whose kids were active in tennis in the focal age. The study involved 14 participants whom had connection to tennis clubs within Swedish Tennis Syd’s working region. Data were collected through three focus groups interviews consisting of players, coaches, and parents. Eight major themes emerged from the data analysis: atmosphere in the clubs, organization of the training groups, amount of training, quality of the training, access to expert assistance, amount of competi- tion, combination of school and tennis, and, parental involvement. Each theme was analyzed within the group and across the three groups. The results revealed perceptions of the clubs environments and future recommendation to improve the talent development environments for tennis players of 13-16 years old.
Improving Variability and Precision of Air-Void Analyzer (AVA) TestResults and Developing Rational Specification Limits

Since air-void analyzer (AVA) was introduced in the 1990s, various studies have been conducted in the United States to apply this technology. Many concerns are raised on (a) the variation of the AVA tests, (b) the relationship between AVA and other standard measurements, and (c) AVA specification limits. The application of AVA tests in concrete practice is therefore very challenging. The goals of the present research project are to reduce variability and improve precision of AVA test results and to develop rational specification limits for controlling concrete freezing and thawing (F-T) damage using the AVA test parameters. This project consists of three phases: (1) Phase 1—Literature search and analysis of existing AVA data (June 2007–August 2008), (2) Phase 2—AVA testing procedure and specification modification, (3) Phase 3—Field study of AVA and specification refinement. In the present research report, the major activities and findings of the Phase 1 study are presented, and the major tasks for the Phase 2 study are recommended. The major activities of the Phase 1 study included the following: performing a literature search, collecting and reviewing available AVA data, completing a statistical analysis on collected AVA data, and carrying out some AVA trial tests in lab. The results indicate that AVA is a time- and cost-effective tool for concrete quality control. However, robustness of the AVA equipment, test procedures, and resulting interoperations need further improvement for a proper implementation of the AVA technology in concrete practice.
Introduction to electronic devices

Basics of Quantum Mechanics. Basics of Solid State Physics. Electrons and Holes in Semiconductors. Diodes and Contacts. Bipolar Junction Transistors. MOSFETs. Compound Semiconductor FETs and Thin Film Transistors (TFTs). Photonic Devices. Device Fabrication and Novel Devices. Appendices. Glossary. Index.
C2.1 - Bandwidth Improvement for Vibration Energy Harvesting devices

This contribution provides a technology overview on techniques to enlarge the bandwidth of vibration energy harvesting devices. In general a broadband device is demanded, such a device would be easily applicable on many vibration sources without any adoption. Up to date such a system is not available. However, improving the broadband characteristic has been investigated intensely in the recent years. This paper introduces vibration energy harvesting briefly and provides a detailed classification of the various broadband techniques.
The Significance of mRNA in the Biology of Multiple Myeloma and Its Clinical Implications

Multiple myeloma (MM) is a genetically complex disease that results from a multistep transformation of normal to malignant plasma cells in the bone marrow. However, the molecular mechanisms responsible for the initiation and heterogeneous evolution of MM remain largely unknown. A fundamental step needed to understand the oncogenesis of MM and its response to therapy is the identification of driver mutations. The introduction of gene expression profiling (GEP) in MM is an important step in elucidating the molecular heterogeneity of MM and its clinical relevance. Since some mutations in myeloma occur in non-coding regions, studies based on the analysis of mRNA provide more comprehensive information on the oncogenic pathways and mechanisms relevant to MM biology. In this review, we discuss the role of gene expression profiling in understanding the biology of multiple myeloma together with the clinical manifestation of the disease, as well as its impact on treatment decisions and future directions.
Incidence and Prevalence of Morbidity and Mortality From Sensitive Conditions to Primary Health Care in Adult Men: A Systematic Review and Meta-analysis Protocol

Background: Scientific studies on human health are not remote and show that mortality in this population is increasing. Although male morbidity and mortality rates have a considerable weight in national and international epidemiological profiles, the presence of men in primary health care services is lower than that of women. Many injuries could be avoided if men regularly carried out the first preventive measures. Sensitive Conditions to Primary Care are consolidated as an important marker of access to health services and the resolution capacity of Primary Care. In this systematic review, the objective is to identify what is known about the prevalence and / or incidence of Sensitive Conditions to Primary Care in adult men.Methods: We will identify the studies through systematic research in PUBMED-MEDLINE, SCOPUS, Web of Science, Embase, Cochrane, BDTD and OpenGrey. The quality assessment of retrieved articles will be carried out using the critical assessment tools of the Joanna Briggs Institute (JBI). The quantitative synthesis of the data will be carried out if the studies are homogeneous and provide adequate result data for meta-analysis. Otherwise, the data will be synthesized, using the narrative synthesis approach.Discussion: This review will explore theprevalenceand / orincidenceofSensitiveConditionstoprimarycare (prevalenceofhospitalizations; incidenceofhospitalizationsand deaths from ACSC) in adultmenandwillact as a usefulsource for researchers, policymakersand stakeholders whendevelopingandimplementinginterventions for thatgroup. Systematic review registration: This systematic review protocol was submitted to International Prospective Register of Systematic Reviews (PROSPERO). Submission number: ID 169447. This protocol was prepared using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols checklist (PRISMA-P).
Powered upper limb prostheses : control, implementation and clinical application

The Early History of Myoelectric Control of Prosthetic Limbs (1945-1970). - The Origins and Nature of the Myoelectric Signal. - Signals and Signalling Processing for Myoelectric Control. - Commercial Hardware for the Implementation of Myoelectric Control. - Meeting the Clients - An Overview: Focus on Prevalence, Psychosocial Issues, Outcomes. - Powered Upper Limb Prosthetic Practice in Paediatrics. - Powered Upper Limb Prosthetics in Adults. - Training. - Research and the Future of Myoelectric Prosthetics. - A Bibliography on Myoelectric Control of Upper Limb Prostheses.
Designing a method for assessing the enterprise architecture business value

Enterprise Architecture (EA) has established itself as a discipline to understand, develop and manage complex information technology landscapes. While EA possesses various value propositions, it is still a discipline which is very difficult to assess in terms of business value. This is reflected in a number of academic contributions and in addition a shared denominator among practitioners. Consequently, in the effort to fully understand the EA function in terms of performance and business value, we design a method to address this issue. Employing a design science research approach, we built our artefacts with an industry partner within an organizational context while regarding design choices and principles. This underpins the practical importance of our research and contributes to the question of how can we design and evaluate a method to assess EA business value within an organizational context. This method addresses the construction, operation, and improvement of four information technology artefacts: The EA business value framework provides a holistic approach to EA performance measurement and EA business value communication. It is based upon an EA business value model defining value within the organizational context, employs the EA business value assessment process to gather relevant data for analytics and makes them visible with the EA balanced scorecard.
High Performance Concrete Bridge Decks in Minnesota

This paper describes how bridges in Minnesota experience harsh conditions with wide temperature extremes, fairly long snow and ice seasons, and many applications of deicing chemicals. The standard bridge deck protection system of the Minnesota Department of Transportation (Mn/DOT) includes epoxy-coated reinforcement, a 7-in. (175-mm) thick conventional concrete structural slab, and a 2-in. (50-mm) thick low-slump concrete overlay. This system has worked extremely well since the mid 1970s and is specified on most bridges. High performance concrete (HPC) bridge decks offer potential benefits to the state including decreased construction time, lower permeability, and cost savings of 5 percent or more compared to decks with low-slump overlays.
Tax Planning Trends on Indonesia Stock Exchange Listed Firms

This paper aims to discover the trend of firms practicing tax planning in Indonesia. This descriptive paper aims to understand the trend of Indonesia Stock Exchange listed firms practice of tax planning. The paper uses secondary data from financial statements. The measurement of tax planning uses the formula (25%-ETR (effective tax rate))*PBT (profit before tax). The sample is Indonesia Stock Exchange listed firms from 2011-2016, with tax as 25%. The sample excludes firms in some industries: financial, agriculture, construction, and mining. The total sample used in this paper is 212 firms. The results of this paper generally indicate the decrement of the tax planning rate, which means the existing government policy to decrease tax planning among the firms located in Indonesia.
The association of serum gamma-glutamyltransferase and the incidence of type 2 diabetes mellitus based on propensity score matching: a retrospective observational cohort study

Background: Previous studies reported that gamma-glutamyltransferase (GGT) may play an important role in the development of diabetes. The purpose of this study is to demonstrate that GGT is an independent risk factor for diabetes and to explore whether the association between GGT and the incidence of diabetes is affected by age and gender in the general Japanese population.Methods: This study is a retrospective observational cohort study. The study included 15464 men and women with an average age of 43.71 years from the Japanese health checkup program at Murakami Memorial Hospital from 2004 to 2015. The serum gamma-glutamyltransferase was stratified by quartiles. Patients were stratified by gender and age. Results: After adjusting for potential confounders, each additional standard deviation (SD) of GGT increases the risk of diabetes by 9%. The hazard ratio (HR) is 1.09 and the confidence interval (CI) is (1.01, 1.17). Participants in the fourth quartiles (Q4,≥ 22IU/L) had a higher risk of diabetes than the first to third quartiles (Q1-Q3) of GGT (HR: 1.47, 95 % CI: 1.15-1.87). Compared with males with lower GGT activity, males aged 40 to 50 years with GGT activity in the fourth quantile had a 53% increased risk of diabetes mellitus. Conclusions: GGT was positively correlated with the incidence of diabetes in the Japanese population. Especially in males aged 40-50 y, the higher the GGT, the higher the risk of developing diabetes.
Base Oil Process Modelling Using Machine Learning

The quality of feedstock used in base oil processing depends on the source of the crude oil. Moreover, the refinery is fed with various blends of crude oil to meet the demand of the refining products. These circumstances have caused changes of quality of the feedstock for the base oil production. Often the feedstock properties deviate from the original properties measured during the process design phase. To recalculate and remodel using first principal approaches requires significant costs due to the detailed material characterizations and several pilot-plant runs requirements. To perform all material characterization and pilot plant runs every time the refinery receives a different blend of crude oil will simply multiply the costs. Due to economic reasons, only selected lab characterizations are performed, and the base oil processing plant is operated reactively based on the feedback of the lab analysis of the base oil product. However, this reactive method leads to loss in production for several hours because of the residence time as well as time required to perform the lab analysis. Hence in this paper, an alternative method is studied to minimize the production loss by reacting proactively utilizing machine learning algorithms. Support Vector Regression (SVR), Decision Tree Regression (DTR), Random Forest Regression (RFR) and Extreme Gradient Boosting (XGBoost) models are developed and studied using historical data of the plant to predict the base oil product kinematic viscosity and viscosity index based on the feedstock qualities and the process operating conditions. The XGBoost model shows the most optimal and consistent performance during validation and a 6.5 months plant testing period. Subsequent deployment at our plant facility and product recovery analysis have shown that the prediction model has facilitated in reducing the production recovery period during product transition by 40%.
Mechanically-Induced Transition of Human Induced Pluripotent Stem Cells

Human induced pluripotent stem cells (hiPSCs) grown in multiple culture media were altered after being subjected to a stretching protocol. hiPSC maintenance media and Gray’s media were used during the 6 day stretching protocol of 0.1 Hz with 5% circular elongation. While the final state of their development remains a mystery, qPCR using pluripotent, endoderm, and lung markers confirmed that the cells had transitioned from hiPSCs but had not been differentiated into one of these other cell lines. Further investigation must be performed to determine the cells’ new identity. Variables that could be modified in the future include cultureware coating, media used, and stretching protocols.
Sustainable Agriculture and New Biotechnologies

The Use of Omics Databases for Plants Ayako Suzuki, Keita Suwabe, and Kentaro Yano High-Throughput Approaches for Characterization and Efficient Use of Plant Genetic Resources Jaroslava Ovesna, Anna Janska, Sylva Zelenkova, and Petr Marsik Breeding for Sustainability: Utilizing High-Throughput Genomics to Design Plants for a New Green Revolution Traci Viinanen Transcription Factors, Gene Regulatory Networks, and Agronomic Traits John Gray and Erich Grotewold Contribution of "Omics" Approaches to Sustainable Herbivore Production Jean-Francois Hocquette, Hamid Boudra, Isabelle Cassar-Malek, Christine Leroux, Brigitte Picard, Isabelle Savary-Auzeloux, Laurence Bernard, Agnes Cornu, Denys Durand, Anne Ferlay, Dominique Gruffat, Diego Morgavi, and Claudia Terlouw Mining Omic Technologies and Their Application to Sustainable Agriculture and Food Production Systems Noureddine Benkeblia Identification of Molecular Processes Underlying Abiotic Stress Plants Adaptation Using "Omics" Technologies Urmila Basu Rhizosphere Metabolomics: A Study of Biochemical Processes Kalyan Chakravarthy Mynampati, Sheela Reuben, and Sanjay Swarup Microbial Functionality and Diversity in Agroecosystems: A Soil Quality Perspective Felipe Bastida, Cesar Nicolas, Jose Luis Moreno, Teresa Hernandez, and Carlos Garcia Survey in Plant Root Proteomics: To Know the Unknown Sophie Alvarez and Leslie M. Hicks Applications of Agricultural and Medicinal Biotechnology in Functional Foods Kandan Aravindaram and Ning-Sun Yang Nutritional Genomics and Sustainable Agriculture Maria Luisa Guillen, Mercedes Sotos-Prieto, and Dolores Corella Metabolomics: Current View on Fruit Quality Relation with Human Health Ilian Badjako, Violeta Kondakova, and Atanas Atanassov New Farm Management Strategy to Enhance Sustainable Rice Production in Japan and Indonesia Masakazu Komatsuzaki and Faiz M. Syuaib Advances in Genetics and Genomics for Sustainable Peanut Production Baozhu Guo, Charles Chen, Ye Chu, C. Corley Holbrook, Peggy Ozias-Akins, and H. Thomas Stalker The Relevance of Compositional and Metabolite Variability in Safety Assessments of Novel Crops George G. Harrigan, Angela Hendrickson Culler, William P. Ridley, and Kevin C. Glenn Gene-Expression Analysis of Cell-Cycle Regulation Genes in Virus-Infected Rice Leaves Shoshi Kikuchi and Kouji Satoh Transcriptomics, Proteomics and Metabolomics: Integration of Latest Technologies for Improving Wheat Productivity in Future Michael G. Francki, Allison C. Crawford, and Klaus Oldach Impact of Climatic Changes on Crop Agriculture: OMICS for Sustainability and Next-Generation Crops Sajad Majeed Zargar, Muslima Nazir, Kyoungwon Cho, Dea-Wook Kim, Oliver Andrzej, Hodgson Jones, Abhijit Sarkar, Shashi Bhushan Agrawal, Junko Shibato, Akihiro Kubo, Nam-Soo Jwa, Ganesh Kumar Agrawal, and Randeep Rakwal Designing Oilseeds for Biomaterial Production Thomas A. McKeon Bioenergy from Agricultural Biowaste: Key Technologies and Concepts Suman Khowala and Swagata Pal Index
Networks, Working Groups, and Their Role in Enhancing Collaborative Research in Groundnut

Agricultural research networks are tools for strengthening agricultural research in developing countries by using existing facilities and staff more effectively. This tool avoids duplication of effort and can make available a critical mass of research effort to solve specific problems at a relatively low cost. This paper briefly reviews how networks are organized and operate; how scientists in national programs can strengthen their personal scientific capabilities and upgrade their research; whatpitfalls National Agricultural Research System (NARS) administrators must consider in becoming involved; and the ways in which International Agricultural Research Centers (lARCs) use networks to expand their information bases and share their material and information with NARSs. It then outlines the organization of the Asian Grain Legumes Network (AGLN) and other networks facilitating collaborative research on groundnut (Arachis hypogaea). Finally it examines the concept of Working Groups and how they are being used by the AGLN to focus and strengthen collaborative research on groundnut.
Physical Activity Promotion in a Safety-Net Clinic: Does the Provider Make a Difference? A Pilot Study

ABSTRACT Background Despite the long-term health benefits of physical activity, many Americans across the life span do not meet the recommended levels. However, physical activity discussions in the clinic setting may hold promise. The purpose of this study aimed to understand health care providers’ beliefs and practices about physical activity discussions being a part of patients’ health care treatment. Methods Semistructured, audiotaped interviews were conducted to elicit narratives from 10 health care providers. Interview data were transcribed verbatim, and then coded and analyzed by two qualitative researchers using NVivo12. Results Three major themes emerged were as follows: importance of regular physical activity counseling for vulnerable populations; patients’ lack of regular physical activity, including subthemes of lack of time, current health conditions, and social determinants of health; and health care provider’s reflections about their own physical activity. Conclusions Health care providers have an important role when it comes to promoting good health. Having physical activity discussions with patients at every clinic visit is a great opportunity to encourage patients to engage in healthy lifestyle behaviors such as regular physical activity. From this pilot study, implications for practice may include increased awareness of the health care providers to discuss physical activity at every visit, which may lead to improved provider–patient communications related to the benefits of daily physical activity behaviors. These discussions may even have a secondary gain of encouraging the providers themselves to adopt the healthy behavior and thereby serve as a role model for their patients.
Performance of the Christchurch, New Zealand Cathedral during the M7.1 2010 Canterbury earthquake

The Catholic Cathedral is classified as a category 1 listed heritage building constructed largely of unreinforced stone masonry, and was significantly damaged in the recent Canterbury earthquakes of 2010 and 2011. In the 2010 event the building presented slight to moderta damage, meanwhile in the 2011 one experienced ground shaking in excess of its capacity leading to block failures and partial collapse of parts of the building, which left the building standing but still posing a significant hazard. In this paper we discuss the approach to develop the earthquake analysis of the building by 3D numerical simulations, and the results are compared/calibrated with the observed damage of the 2010 earthquake. Very accurate records were obtained during both earthquakes due to a record station located least than 80 m of distance from the building and used in the simulations. Moreover it is included in the model the soil structure interaction because it was observed that the ground and foundation played an important role on the seismic behavior of the structure. A very good agreement was found between the real observed damage and the nonlinear dynamic simulations described trough inelastic deformation (cracking) and building´s performance.