Miracle-dz/UniFAR-FTUs huggingface dataset:
Panels for transportation planning : methods and applications

Introduction: Panels for Transportation Planning: Theoretical Issues and Empirical Challenges L. Long. Part I: Panels for Transportation Planning. 1. Why Panels for Transportation Planning? R.E. Paaswell. 2. A Review of Empirical Studies and Applications T. Raimond, D.A. Hensher. Part II: Panels as Evaluation Tools. Introduction M. Lee-Gosselin. 3. Have Panel Surveys Told us Anything New? P.B. Goodwin. 4. A Panel-Based Evaluation of the San Diego I-15 Carpool Lanes Project T.F. Golob, et al. 5. An Employer Panel for Evaluating the Effectiveness of Trip Reduction Incentives G. Giuliano, M. Wachs. Part III: Regional Planning Applications. Introduction T.K. Lawton. 6. The Puget Sound Transportation Panel E. Murakami, C. Ulberg. 7. Planning for Panel Surveys in the San Francisco Bay Area C.L. Purvis. Part IV: Accounting for Response Bias. Introduction J. Horowitz. 8. Attrition and Response Effects in the Dutch National Mobility Panel H. Meurs, G. Ridder. 9. Weighting Methods for Attrition in Choice-Based Panels R.M. Pendyala, R. Kitamura. 10. Multiply-Imputed Sampling Weights for Consistent Inference with Panel Attrition D. Brownstone, Xuehao Chu. Part V: Modeling and Forecasting Issues. Introduction E.J. Miller. 11. A Practical Comparison of Modeling Approaches for Panel Data M. Bradley. 12. The Timing of Change: Discrete and Continuous Time Panels in Transportation D.A. Hensher. 13. A Dynamic Microsimulation Model System for Regional Travel Demand Forecasting K.G. Goulias, R. Kitamura. 14. Panel Data and Activity Duration Models: Econometric Alternatives and Applications Soon-Gwan Kim, F.L. Mannering. Author Index. Subject Index.
PENGARUH KEMAMPUAN PEDAGOGIK GURU DENGAN HASIL BELAJAR IPS

Penelitian bertujuan ini adalah untuk mengetahui hubungan antara persepsi siswa tentang kemampuan pedagogik guru dengan hasil belajar mata pelajaran IPS kelas VIII di SMP Al-Amin Pamijahan Bogor dengan jumlah populasinya 153 siswa di ambil 25 persen yang berjumlah respondenya 60 siswa. Metode yang digunakan dalam penelitian ini adalah metode penelitian kuantitatif dengan menggunakan pendekatan korelasional. Penelitian kuantitatif adalah penelitian dengan memperoleh data kualitatif yang diangkakan. Metode korelasi yaitu penelitian yang melibatkan hubungan satu atau lebih dengan variabel lain. Bentuk hubungan dalam penelitian ini adalah brivaret, yaitu hubungan yang melibatkan satu variabel bebas dengan satu variabel terikat. Pengumpulan data dilakukan dengan menggunakan angket atau kusioner untuk memperoleh data variabel X yaitu persepsi siswa tentang kemampuan pegagogik guru dan metode pengambilan data dari nilai ujian Tengah semester ganjil untuk variabel Y yaitu hasil belajar. Adapun perolehan frekuensi untuk variabel X dengan skor tertinggi 93 dan skor terendah 32 diperoleh rata- rata 66,6, median 67,5 dan modus 68,49, sedangkan untuk variabel Y skor tertinggi 95 dan skor terendah 61 di peroleh rata-rata 80,25,median 89,5dan modus 86,75. Terdapat hubungan antara persepsi siswa tentang kemampuan pedagogik guru dengan hasil belajar mata pelajaran IPS kelas VIII di SMP Al-Amin Pamijahan Bogor. Hal ini dapat dibuktikan dengan derajat kebebasan (dk) = N -2 dan a = 0,025 sebesar 2,000. t hitung (5,38) > t tabel (2,000) maka koefsien korelasi adalah signifikan. Nilai r hitung adalah 0,577 sedangkan r tabel adalah 0,254 dengan batas signifikan 5 persen artinya nilai r hitung lebih besar dari r tabel yakni 0,577> 0,254.
Thermal-hydraulic modelling of Forsmark 1 NPP in TRACE : Validation versus the 25th of July, 2006 plant transient

There is a widespread use of thermal hydraulic codes in nuclear industry. The codesare used to analyse the transient and steady-state behavior of the nuclear powerplants. The US Nuclear Regulatory Commission that has long experience of developing such codes are now incorporating the capabilities of their earlier codes into one modern simulation tool, called TRACE. The code is under development and validation work is required especially in the field of BWR applications. Eventually the code is expected to replace similar codes such as TRAC and Relap5. With this in mind, a TRACE model of Forsmark 1 has been set up to investigate how well it can simulate a plant transient. On the 25th of July, 2006 there was a disturbance at Forsmark 1 that caused the RPV water level and pressure to decrease.In this project, plant data acquired during the event are used to validate the model of Forsmark 1. The validation work is focused on comparing measured and calculated water and pressure levels in the RPC during the transient. The results show qualitatively good agreement with the validation data, however during a period of the simulations there are large discrepancies concerning the pressure and water level in the RPV. In total, 13 simulations are performed, studying the influences of parameters such as simulation time-step size, the feed water flow boundary conditions and the steam line isolation valve characteristics. Based on the results of the simulations, a number of recommendations are made regarding suggestions for further work.
Deep Learning for Cyber Security Applications: A Comprehensive Survey

Deep Learning (DL), a novel form of machine learning (ML) is gaining much research interest due to its successful application in many classical artificial intelligence (AI) tasks as compared to classical ML algorithms (CMLAs). Recently, DL architectures are being innovatively modelled for diverse applications in the area of cyber security. The literature is now growing with DL architectures and their variations for exploring different innovative DL models and prototypes that can be tailored to suit specific cyber security applications. However, there is a gap in literature for a comprehensive survey reporting on such research studies. Many of the survey-based research have a focus on specific DL architectures and certain types of malicious attacks within a limited cyber security problem scenario of the past and lack futuristic review. This paper aims at providing a well-rounded and thorough survey of the past, present, and future DL architectures including next-generation cyber security scenarios related to intelligent automation, Internet of Things (IoT), Big Data (BD), Blockchain, cloud and edge technologies. This paper presents a tutorial-style comprehensive review of the state-of-the-art DL architectures for diverse applications in cyber security by comparing and analysing the contributions and challenges from various recent research papers. Firstly, the uniqueness of the survey is in reporting the use of DL architectures for an extensive set of cybercrime detection approaches such as intrusion detection, malware and botnet detection, spam and phishing detection, network traffic analysis, binary analysis, insider threat detection, CAPTCHA analysis, and steganography. Secondly, the survey covers key DL architectures in cyber security application domains such as cryptography, cloud security, biometric security, IoT and edge computing. Thirdly, the need for DL based research is discussed for the next generation cyber security applications in cyber physical systems (CPS) that leverage on BD analytics, natural language processing (NLP), signal and image processing and blockchain technology for smart cities and Industry 4.0 of the future. Finally, a critical discussion on open challenges and new proposed DL architecture contributes towards future research directions.
Bio-inspired broadband SONAR technology for small UUVs

GORCA Technologies Inc. (GTI), is currently developing innovative broadband SONAR technologies based on biomimetic concepts. This technology is geared towards the development of small size sensors for small size MCM UUVs such as the REMUS, Morpheus or Ocean Explorer UUVs. The core of the technology is inspired by dolphins' biosonar. An embodiment of this advanced broadband SONAR technology is presented in this paper. The system offers both passive and active sensing for surveillance and reconnaissance tasks. It is shown how bio-inspired technologies can be used to augment the capabilities of SONAR systems based on simple COTS hardware architectures compatible with small autonomous platforms. The use of biomimetic concepts makes this sonar technology very robust in shallow and very-shallow water. Bio-inspired principles integrated into the sonar design include: bi-modal broadband waveforms and multiaspect angle view of a target for echo visualization. These bio-inspired concepts, along with some core broadband adaptive sonar signal processing concepts are discussed in this paper. Early demonstrations of the technology during in-pool and in situ tests are also presented.
Fashion-able. Hacktivism and engaged fashion design

This thesis consists of a series of extensive projects which aim to explore a new designer role for fashion. It is a role that experiments with how fashion can be reverse engineered, hacked, tuned and shared among many participants as a form of social activism. This social design practice can be called the hacktivism of fashion. It is an engaged and collective process of enablement, creative resistance and DIY practice, where a community share methods and experiences on how to expand action spaces and develop new forms of craftsmanship. In this practice, the designer engages participants to reform fashion from a phenomenon of dictations and anxiety to a collective experience of empowerment, in other words, to make them become fashion-able. As its point of departure, the research takes the practice of hands-on exploration in the DIY upcycling of clothes through ? open source? fashion ? cookbooks? By means of hands-on processes, the projects endeavour to create a complementary understanding of the modes of production within the field of fashion design. The artistic research projects have ranged from DIY-kits released at an international fashion week, fashion experiments in galleries, collaborative ? hacking? at a shoe factory, engaged design at a rehabilitation centre as well as combined efforts with established fashion brands. Using parallels from hacking, heresy, fan fiction, small change and professional-amateurs, the thesis builds a non-linear framework by which the reader can draw diagonal interpretations through the artistic research projects presented. By means of this alternative reading new understandings may emerge that can expand the action spaces available for fashion design. This approach is not about subverting fashion as much as hacking and tuning it, and making its sub-routines run in new ways, or in other words, bending the current while still keeping the power on.
CONTROL STRATEGIES FOR VARIABLE MESSAGE SIGNS

The primary objective of the European Advanced Transport Telematics (ATT) project QUO VADIS is to establish how Variable Message Signs (VMS) are best managed to give high quality information and guidance to drivers and to improve the capacity of a road network. Three alternative methods (selection from a plan library, automatic control, and expert system) for the real-time VMS control based on detector measurements are outlined along with some practical issues related to their application to two networks in Scotland and Denmark respectively. (A) For the covering abstract see IRRD 868006.
Towards a Healthcare Digital Twin

The main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for personalised healthcare. These will be used by both kind of experts: (i) data analysts, who will design expert recommender systems and extract knowledge (explainable AI); and (ii) professionals in medicine, who will consume that knowledge generated with their research for better diagnosis. Knowledge generation / extraction processes will work in the form of a lifelong learning system by iterative and continuous use. The produced platform would be abstracted so it can be applied like a general purpose service tool in other domains. A rule extraction module would be also made available.
Moderating Effects of Personal Characteristics on Intention to be Involved in KM Process

This study investigates the contributing factors of intention to be involved in KM process as well as the moderating effects of personal characteristics on intention to be involved in KM process. As the scope of the KM is very wide, this study was confined only to the knowledge creation and sharing processes of KM. Data were collected from 313 executives of seven companies in the Sri Lankan Telecommunication Industry using self-administered questionnaires. There were four significant predictors of intention to be involved in KM process; two KM enablers and two individual acceptance factors; namely ‘trust & collaboration’, ‘ICT use and support for search and sharing’, ‘performance expectancy of KM’, and ‘effort expectancy of KM’. Furthermore, the study found that gender moderates the relationship between ‘ICT use and support for search and sharing’, ‘performance expectancy of KM’ and intention to be involved in KM process. The findings suggest that if the policy makers in the industry are planning to implement KM initiatives, they should consider gender differences of the executive and the strategies should be formulated accordingly.
Is Real GDP Stationary In The Advanced Economies? Evidence From An Unbalanced Panel Unit Root Test

This study deals with the unit root hypothesis related to the real GDP (Gross Domestic Product) for 35 advanced economies, for the period of 1960 -2011. As it is known in the literature, when unit root analysis, which plays a significant role in specifying the macroeconomic time series’ resistance to policy alternatives, is made without considering the panel structure (and the findings of the existence of unit root have been achieved in many of such single stationarity studies), available data set diminishes the power and reliability of the test. Therefore it is necessary to search the existence of unit root with the panel-based method. The Im, Pesaran and Shin (1997, 2003 (revised version) panel unit root test, which allows the application of unit root analysis for heterogeneous panel, was implemented upon the advanced countries for the period in question, and the null hypothesis that panel members included unit root could not be refuted.
Soil carbon and nitrogen regulation using organic and inorganic fertilizers for leaf physiological activity, grain yield and nutritional quality improvements in rice

Organic fertilizers are widely used in agriculture production and change the soil carbon (C) and nitrogen (N) contents, thus improving crop production. The increased amount of soil C and N exhibit a greater potential to improve the leaf physiological activity, yields and grain quality of rice by improving soil fertility indices. To understand the relationship between soil C and N contents with leaf physiological activity and grain quality; organic fertilizers (i.e., cattle manure (CM) and poultry manure (PM)) coupled with chemical fertilizer (CF) was applied at the different proportion. The recommended rate of N 150 (kg ha−1) was provided from manure and CF using six treatments, i.e., T1— CF0; T2—100% CF; T3—60% CM + 40% CF; T4—30% CM + 70%CF; T5—60% PM + 40% CF, and T6—30% PM + 70% CF. Results showed that soil organic C (SOC), total N (TN), leaf net photosynthetic rate (Pn), SPAD values, grain yield and grain quality attributes were significantly increased with combined organic and inorganic fertilizer application. Averaged over the years, T6 treatment significantly improved SOC, TN, Pn, starch content (SC), amylose content (AC), and grain yield by 16%, 12%, 9%, 7%, 12%, and 24%, respectively, compared to CF-only. However, no significant differences among T4 and T6 were observed for studied parameters. In addition, the linear regression exhibited that SOC (R2= 0.70** & R2=0.50*) and TN (R2= 0.62* & R2=0.58*) were positively correlated with grain SC and AC, respectively. Likewise, Pn (R2= 0.51* & R2=0.62*) were also positively associated with SC and AC, respectively. The correlation analysis showed that improving SOC and TN played a key role in enhancing leaf physiological activity and grain nutritional quality. Thus, the combination of organic and inorganic fertilizers at a 30:70 ratio is a promising option for the improvement of soil fertility and grain yield of rice as well as grain nutritional traits.
The Evolution of the U.S. Army Infantry Squad; Where do we go From Here? Determining the Optimum Infantry Squad Organization for the Future.

Abstract : An undeniable trend in modern warfare that has influenced how the infantry is organized and how it fights is the increasing dispersion of the battlefield. The primary source of this trend has been the evolution of technology which has resulted in increasingly decentralized operations. This led to the birth of the infantry squad as an independent maneuver element. This study traces the evolution of the infantry squad in the American Army from WW2 until the present. It analyses the lessons from combat as well as numerous studies and tests that influenced how the Army changed the make-up of the squad and explain why the squad has its present organization. The study then turns from the past to examine the nature of future conflict and the role of the infantry in it. It examines the newest technologies and how they will likely be incorporated at the infantry squad level. Finally, the study examines the triangular infantry squad organization proposed by the United States Army Infantry School. The proposal is pan of a plan to restructure the infantry force to take it into the next century. The study reveals that the proposed squad organization is not original but has been used successfully by the U.S. Marines as well as the armies of other nations in the recent past. The elements of combat power are used to compare the proposed organization with the present one. The study determines that the triangular squad is superior in all the criteria and should be tested in the field for validation. (AN)
A COMPLETE REVIEW OF INCIDENT DETECTION ALGORITHMS & THEIR DEPLOYMENT: WHAT WORKS AND WHAT DOESN'T

The purpose of this report is to assess the strengths and limitations of available sensor technologies and their corresponding processing algorithms. The performance of an incident detection system is determined on two levels: data collection technologies and data processing algorithms. Variations in sensor-and-algorithm schemes result in a variety of solutions for incident detection. In this report, three categories (roadway-based, probe-based and driver-based) incident detection technologies and their corresponding algorithms are reviewed and evaluated. The capability, accuracy, reliability and cost of available sensor technologies are emphasized. A variety of algorithms associated with these technologies are also investigated in terms of their performance and ease of implementation. Responses to a nationwide online survey of traffic management centers (TMCs) and traffic operations centers (TOCs) across the U.S., provide first-hand information regarding experiences and problems of implementation. The report includes consideration of incident detection on arterial roads and the use of section-related data in incident detection.
Creating strategic change : designing the flexible, high-performing organization

Change and Flexibility: Creating a High--Performance Organization. The Trajectory of Change: Designing Flexible Organizations. Flexible People: Helping People Take Responsibility for Change. Flexible Technology: Designing the Organization to Take Advantage of New Technology. Flexible Work: Getting Things Done Through Teamwork and Collaboration. Flexible Thinking: Creating a New Type of Organization. Flexible Managers: What Happens to the Leaders? Fractal Organization Design: Replacing the Organization Chart. Getting There: Making Systemic Change Happen. The Human Experience: Managing as if Change Mattered. Footnotes. Index.
What Pelvic Floor Muscle Training Load is Optimal in Minimizing Urine Loss in Women with Stress Urinary Incontinence? A Systematic Review and Meta-Analysis

Pelvic floor muscle training is commonly used for urine loss. However, research studies have not determined which training load is the most effective for women with stress urinary incontinence (SUI). Moreover, none of the previous reviews or studies have described the total effectiveness of pelvic floor muscle training (PFMT) with an objective test such as the pad test. The objectives were to analyze the effectiveness of pelvic floor muscle training in women with SUI and to determine which training load produces the greatest adaptations for decreasing urine loss. The search was conducted in three databases (PubMed, Web of Science and Cochrane), for randomized controlled trials (RCTs) that evaluated the effects of PFMT. Studies were included if they met the following criteria: participants were women; were older than 18; had SUI; were treated with PFMT; and the assessments of the effects were measured with a pad test. Finally, 10 articles (293 women) analyzed the pad test in women with SUI who performed PFMT. The meta-analysis showed that PFMT, independent of the protocol used in the study, resulted in decreased urine loss in women suffering from SUI. However, for large effects, the program should last 6–12 weeks, with >3 sessions/week and a length of session <45 min.
Productive performance, rumen indices and meat quality of concentrate-supplemented goats in Vietnam

Twenty-five Vietnamese Bach Thao bucks were assessed at an average age of 7 months and body weight of 20.3 ± 0.8 kg. Goats were randomly allocated into five treatment groups of varying levels of concentrate supplementation: Control (ad libitum access to elephant grass), 0.6 %C (control plus 0.6% of concentrate), 1.2 %C (control plus 1.2% of concentrate), 1.8 %C (control plus 1.8% of concentrate), and 2.4 %C (control plus 2.4% of concentrate) as a percentage of liveweight on a dry matter basis. It was evident that increased concentrate levels had a positive effect on performance, productivity and meat quality of Vietnamese Bach Thao goats and the best response was reached at supplementation at the 1.8%C level. Specific outcomes included: 1) An increase in the level of dietary concentrate supplementation significantly increased feed intake, average daily gain (ADG), digestibilities of dry matter, organic matter and crude protein, and dressing percentage (DP). The highest ADG of 150 g/d and DP of 56% were observed in treatments 1.8 %C and 2.4 %C. 2) A significant increase in lean meat and a lower proportion of bone in the carcass was observed, but there was no difference in total fat percentage as the level of concentrate supplementation increased. 3) There was no difference in chemical composition or total saturated fatty acid composition of the Longissimus dorsi muscle, but the levels of monounsaturated fatty acids in the concentrate-supplemented groups were all significantly higher than in the control group. In conclusion, the tested hypothesis was accepted, and the key research question of the best concentrate supplementation level in Bach Thao goats was answered where treatment 1.8 %C produced the best growth, dressing percentage and meat quality responses. The study also indicated that Small Ruminant Nutrition System model can predict the DMI, ADG, nutrition digestibility and faecal characteristics of Vietnamese Bach Thao goats with satisfactory results for different ratios of forage and concentrate, when chemical compositions of the feeds are known.