Miracle-dz/UniFAR-FTUs huggingface dataset:
Becoming FEW Conscious: A Conceptual Typology of Household Behavior Change Interventions Targeting the Food-Energy-Water (FEW) Nexus

The food-energy-water (FEW) nexus presents an opportunity to rethink predominant approaches to household behavior change science. We linked emerging FEW nexus research with existing literature examining household consumption and pro-environmental behaviors. While a large body of work examines the environmental impacts of household life and explores pathways to behavior change for sustainability, the literature lacks studies that test interventions in multiple FEW resource categories, leaving researchers unable to identify tensions and tradeoffs in the household system. To guide this developing field and accumulate findings on household behavior across disciplines, we proposed a conceptual typology that synthesizes interdisciplinary analytic traditions to classify behavioral interventions targeting the household FEW nexus. The typology synthesizes behavioral interventions as active, passive, or structural, and household-specific or non-specific, illustrating six distinct categories: information, tailored information, action, gamification, policy/price change, and material/technology provision. A review of 40 studies that guided the typology identifies four significant lessons for future intervention research: household non-specific information and tailored information work better together, feedback is more effective when it is persistent, price-based interventions (information or incentives) are often ineffective, and material/technology provision is very effective but utilized in few household studies. To push forward household resource consumption science, we advocated for a holistic nexus focus that is rooted in interdisciplinarity, coalition building with stakeholders, and data reporting that facilitates knowledge accumulation.
Evaluation of Credibility for Reviewers and Review Scores Based on Link Analysis

In recent years, there are widely used online stores on the Internet which have customer review facilities. Although these reviews help users decide their actions, there are incredible, fake or irresponsible reviews in general. It is difficult for site users and site managers to evaluate the credibility of reviews and reviewers. In this paper, we show the method to quantify the credibility of review scores and to find out credible reviewers and credible review scores based on a bipartite relation between reviewers and sale items. We also show the experimental results on the travel website. Through our experiments, we discuss these indexes for reviewers and sale items are also effective for the future prediction of review scores.
Trade Uncertainties and the Hedging Abilities of Bitcoin

In this paper, we use daily data from October 2011 to May 2019 to estimate the monthly realized correlation between stock returns of the United States (US) and Bitcoin returns. Then, we relate the realized correlation with a news-based measure of the growth of trade uncertainty for the US. Our results show that the realized correlation is negatively impacted by increases in trade uncertainty, suggesting that Bitcoin can act as a hedge relative to the US stock market in the wake of heightened trade policy-related uncertainties, and can provide diversification benefits for investors.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BIDANG STUDI KOMPUTER MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Guru merupakan salah satu komponen paling penting dimiliki oleh sekolah dalam memperlangsungkan hidup, yang menjadi tantangan tersendiri bagi pihak pengelola lembaga pendidikan untuk dapat memberikan suatu keputusan yang tepat, efektif dan efisien dalam pengelolaan data dalam persaingan didunia bisnis yang makin kompetitif memacu sekolah untuk berupaya lebih keras dalam meningkatkan kualitas sekolahnya. Sistem Pendukung Keputusan atau SPK penentuan pemilihan guru dengan metode (SAW) menghasilkan suatu sistem yang dapat menentukan suatu pilihan yang dapat membantu kajur dalam membuat keputusan. Metode simple additive weight (SAW) yang menerapkan rata–rata terbobot untuk menghitung jumlah produksi sebagai hasil akhirnya.
Solutions Journalism: The Effects of Including Solution Information in News Stories About Social Problems*

As news professionals, you are aware that much of the public complains that the news media is too negative and full of conflict. You are equally aware that negative news stories are inevitable, even imperative, and that if journalists only reported positive stories, they wouldn’t be doing their jobs. After all, one of journalism’s most treasured news functions is to keep government in check. This “watchdog” role involves reporting on corruption and other controversial issues, and that explains why some news inherently involves conflict. Additionally, it’s a journalist’s job to alert the public of potential threats (Lasswell 1948), and it doesn’t help that humans are biologically built to look for them (Shoemaker 1996). This “hard-wired” predisposition might also help explain studies showing that journalists gravitate toward drama (Niven 2005), deviance (Shoemaker, Danielian, and Brendlinger 1991), and scandal (Patterson 2000). In fact, news organizations normalize conflict; they see it as routine, expected, and perhaps essential to social life (Bantz 1997). Although we can justify why it’s necessary to have news stories high in conflict and negativity, researchers have found that conflict-based news stories can have negative consequences. One consequence is that news audiences are declining (Network News Fact Sheet 2018; Patterson 2000; Potter 2000; Schudson 2011), and people say they’re tuning out in-part because the news is too negative. Patterson (2000) found that 84 percent of Americans in a national survey said the news is depressing, and Potter and Gantz (2000) found that individuals who cut back on their viewing of broadcast news did so because the stories were too negative, too often about crime, and seldom presented positive information. A second consequence is that the negative, conflict-driven journalism that so often occurs in traditional media fails to adequately address whether policies are working, which is another key function of news (Schudson 2011). A third consequence of the current media environment is that it has caused compassion fatigue, or a public “weary of unrelenting media coverage of human tragedy” (Kinnick, Krugman, and Cameron 1996, 687). Kinnick, Krugman, and Cameron (1996) identified key factors that explain how the media contribute to compassion fatigue, one of which is providing a lack of solutions to social problems.
Improving The Mathematical Problem Solving Ability And Mathematical Disposition Using a Problem Posing Approach

This research is a quasi experimental research, which aims to examine theachievement and improvement of problem solving skills and mathematicaldisposition of MA students by using Problem Posing approach. The populationin this study is the students of class XI in one MA in Tasikmalaya City. Withthe sample subject is class XI IIS 1 as the control class and XI IIS 3 as theexperimental class which totals the total of 62 students. Data obtained fromresearch instruments in the form of tests (pretest and postes problem solvingability) and nontes (scale of mathematical disposition). After the observation,the data is reviewed and analyzed. Based on the results of research and dataprocessing, obtained: (a) Improvement and achievement of mathematicalproblem solving ability of MA students whose learning using Problem Posingapproach is better than the learning using ordinary learning, and (b)Mathematical disposition of MA students whose learning using ProblemPosing approach better than learning using ordinary learning.
Traffic pattern–based load‐balancing algorithm in software‐defined network using distributed controllers

Programmability and decoupling of the data plane and control plane in software‐defined networking (SDN) make the enterprise's network to focus on this new paradigm and to deploy their applications on it. Furthermore, supporting of distributed controllers in SDN opens the opportunities to address the limitations of centralized controller's architecture, which in turn improves the overall performance of the network. This study proposes a new load‐balancing algorithm to handle the load based on the traffic pattern specifically transmission control protocol (TCP) and user datagram protocol (UDP) traffic. Additionally, this study uses a distributed SDN controller's architecture to host the load balancer application. This study also employs a failover mechanism on the distributed architecture to achieve high‐availability environment and to ensure the redundancy and reliability of the network. The obtained results prove the effectiveness of the proposed algorithm in terms of availability, which is increased by 11%, response time is reduced by 98%, transaction rate is also increased by 258%, throughput is increased by 206%, concurrency is reduced by 63%, and packet loss is reduced by 86% while comparing with random, round‐robin, and weighted round‐robin algorithms in addition to ease the integration and deployment in distributed controllers.
IN SEARCH OF A MEASURE OF EFFECTIVENESS FOR INTERNAL AUDIT FUNCTIONS: AN INSTITUTIONAL PERSPECTIVE

ABSTRACT Internal auditing (IA) effectiveness is still viewed, to large extent, as a “black box” in academic research. In this article, relevant empirical studies based on self-assessments of internal auditors and on other stakeholders’ perspectives are reviewed through an “effectiveness lens. ” Major patterns are identified in the existing literature. This article reviews the empirical literature on IA effectiveness that has been published since the latest revision of the IA definition in 1999, using the perspectives of new institutional theory and institutional entrepreneurship as a framework, thereby recognizing the tension between institutional forces and the role of agency. In cases where isomorphic forces are in conflict with other organizational demands, chief auditing executives’ (CAE) agency can be a solution that enables local adaptation (institutional entrepreneurship). The ability to exploit fully the potential of agency is an opportunity for the CAE to tailor and advance the role of IA in its specific organizational context.
Place of orthopedic surgery in gout.

OBJECTIVE To evaluate the indications, surgical results, and complications related to tophaceous gout surgery in the orthopedics and traumatology clinic of our hospital. METHODS A retrospective analysis of all patients who underwent surgery for topical gout in our orthopedics and traumatology clinic between January 2008 and December 2017 was carried out. Their history, physical examination, and radiological and laboratory tests were examined. Surgical indications, surgical results, and complications were analyzed. RESULTS Total 18 lesions in 15 patients with gout tophi were operated (60% males). The most common lesion was in the elbow (6; 33%). All patients underwent total excision, and the mean mass size was 4.0 cm. Only one patient had a delayed wound healing. All other patients had no complications. CONCLUSION The results of surgical procedures which were performed to confirm the diagnosis, to reduce mechanical problems due to tophaceous and to alleviate pain were excellent, and complication risk was acceptable. Comorbidities and sepsis were the predictors of surgical complications.
Secondary flow impact on velocity and thermal fields of a structured turbulent channel flow

Surface structuring in form of streamwise elongated triangular ridges is investigated in a framework of a fully developed turbulent channel flow at Reb = 18000. The ridges generate a strong large-scale secondary motion and hence alter momentum and heat transfer in the channel. A comparison of the obtained skin friction and heat transfer coefficients reveals a 30% enhancement for both quantities relatively to the smooth channel. Tripe decomposition analysis of the total stress and heat flux results in an observation of different mechanisms behind this enhancements: while the skin friction coefficient is mainly increased by the secondary-motion-related contribution, the heat flux is similarly enhanced by the secondary motion and modification of turbulent properties of the flow.
A blurry low-light image enhancement and deblurring fusion algorithm

Due to the vagueness of mobile video shooting at night, the blurry low-light images obtained from it hindered humans from acquiring visual information and computer vision algorithms. In this paper, to lower color and lightness distortion when increasing visibility, a novel brightness mapping function based on the camera mapping model was proposed by using the chi-squared distribution. Then, the well-exposed images were obtained by using the brightness evaluation technique and the brightness mapping function. Finally, an existing image deblurring algorithm based on convolution and dark channel was employed to help deblur well-exposed images. Experiments showed that our method could achieve accurate contrast and lightness enhancement than several state-of-the-art methods and obtain decent sharp well-exposed images.
Schools' Mission Statements, Local Education Agencies' Strategic Plans, and School Accountability

ii Dedication . iii Acknowledgements . iv List of Tables . ix Chapter 1: Introduction . 10 Background, Context, History, and Conceptual Framework for the Problem . 13 Statement of the Problem . 17 Purpose of Study . 18 Research Questions . 20 Rationale, Relevance, and Significance of the Study . 20 Definition of Terms . 21 Assumptions, Limitations, and Delimitations . 23 Summary . 24 Chapter 2: Literature Review . 26 Introduction . 26 Conceptual Framework . 26 Tyler’s model . 27 Critical incident technique . 29 Review of the Research Literature and Methodological Literature . 29 Types of Accountability in Education . 29 Purpose of Mission Statements in Education . 30 School Mission Statements and School Effectiveness . 37
Modeling and control of an active knee orthosis using a computational model of the musculoskeletal system

One-third of the stroke survivors remain with some disability, needing assistance to perform the activities of daily life and therapy to recover the lost functions. The robotic rehabilitation is a promissed field in this context improving the effectiveness of the treatment. Many researches have focused on developing human-robot interaction control to ensure user safety and therapy efficiency, but the validation of these controllers often requires contact between humans and robots, which involves cost, time and risk of accidents. This work aims to present a computational model of an ideal active orthosis used to assist the knee movement as a tool for test and validate human-robot interaction controls. Three controllers were applied to make the orthosis move the knee tracking the desired trajectory: a PID controller, an Inverse Dynamics-Based controller, and a Feedback-Feedforward Controller. The model proved to be useful and the controller with the best performance was the Feedback-Feedforward one.
Complications of Sight Threatening Diabetic Retinopathy: A Review

A disease mainly known as diabetes is causing several side effects on the human body. The most affected part of the human body is the human eye retina. This disease of the retina that can result in loss of vision. This phenomenon is known as Diabetic Retinopathy (DR.)Basically Daibetis reduces the capability of the human body to store and regulate the blood sugar , as a result of this, the retina of human eye gets effected. In the early stages DR is showing the typical result of damaging the human eye retina and further it leads to the Sight-threatening diabetic retinopathy (SDTR) i.e. complete loss of vision.Computer assisted diagnosis is one of the tool which helps to diagnose the diabetic patient by using the results of medical investigations. i.e assisting images, reports, etc. for initializing the treatment. In the screening of diabetes sight–threatening DR plays a vital role. These are some major techniques available till date for machine-driven analysis of STDR, to detect hemorrhages and microaneurysms. With limitations for analysis of STDR, the survey mainly focuses on both the qualitative as well as a quantitative comparison of the existing study.While considering the future work , it is a try to encapsulate the convenient algorithms for easy understanding and informative to the experimenters working in this field so that to understand the previous algorithms in a better way and try to develop the most effective one .
No One Fits in a Box: Preservice Teachers’ Evolving Perceptions of Self and Others

This article describes lessons learned from an applied literacy course in which preservice teachers partnered with a local middle school to teach literacy actively through podcast and digital graphic novel creation. Future teachers need equityfocused, production-centered, interest-driven connected learning (Ito et al., 2013) and connected teaching opportunities (Mirra, 2017) that provide deliberate, scaffolded social support as they continually shape or reshape perceptions of self and other.
Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

In this article, the authors propose a new approach to automate the analysis of the political discourse of the citizens and public servants, to allow public administrations to better react to their needs and claims. The tool presented in this article can be applied to the analysis of the underlying political themes in any type of text, in order to better understand the reasons behind it. To do so, the authors have built a discourse classifier using multi-scale convolutional neural networks in seven different languages: Spanish, Finnish, Danish, English, German, French, and Italian. Each of the language-specific discourse classifiers has been trained with sentences extracted from annotated parties’ election manifestos. The analysis proves that enhancing the multi-scale convolutional neural networks with context data improves the political analysis results.
Equity Market Timing Approach in IPO and Rights Issue of Companies in Indonesia

The aim of this study is to analyse the effect of equity market timing on the issuance of new shares and capital structures in companies, excluding those in the financial sector, that conducted Initial Public Offerings (IPOs) and rights issues (RIs) in Indonesia from 1990 to 2014. The study took a sample of companies with less than 100% leverage that had experienced delisting and relisting. The results were obtained at the time of an IPO (i.e. the time of a new shares issuance through go public), RI (the time of a new shares issuance as a rights issue), and RI+1 (one year after the rights issue) and capital structure. There was an effect of equity market timing on the issuance of new shares at IPO+1 (1 year after the IPO), IPO+2, RI+2, RI+3 and RI+4, but the companies issued a small number of new shares and raised the funds they lacked by issuing new debt to obtain an optimal capital structure. These results add to the findings that the market timing theory and trade-off theory are not mutually exclusive.
Effectiveness of problem-based learning for technical teacher training in woodwork at a Malawi college

This paper reports on a study that investigated the effectiveness of the use of problem-based learning (PBL) on students’ performance in Woodwork at a Malawian college. PBL models are constructivist in nature, hence they promote cognitive development and active learning which in turn enhances performance. Therefore, the study compared the performance of students’ learning of woodwork through PBL and those learning through the traditional methods. A pre-test – post-test control group experimental design was adopted and involved an intervention, the PBL approach, implemented on the experimental group whilst the control group learnt through the traditional approach. A class of 62 students participated in the study. The class was divided into two groups, with each group comprising 31 students to form the experimental and control group. Data for the study was collected using achievement tests and questionnaires. An independent samples t-test showed that there was no significant difference in the pre-test mean scores between the experimental group (problem-based approach) and the control group (traditional approach), before an intervention was implemented. The post-test results revealed a significant difference in the performance of the students from the two groups. The study found PBL to be an effective approach, and it is recommended for the teaching of woodwork and other technology courses. Key words: Problem-based learning, traditional approach, woodwork, technology studies, constructivism, technical teacher training.
Solving Train Maintenance Scheduling Problem with Neural Networks and Tree Search

The Train Maintenance Scheduling Problem (TMSP) is a real-world problem that aims at complete maintenance tasks of trains by scheduling their activities on a service site. Common methods of constructing optimal solutions to this problem are difficult as the problem consists of several highly-related sub-problems. Currently, NS is using a lo- cal search algorithm to provide solutions for the problem. However, it has several deficiencies such as solution randomness and lacking flexibility for rescheduling. In this research, we investigated the applicability of sequential decision making and supervised learning for solving TMSP. First, we formulate the TMSP problem with a reactive sequential mechanism and define the state and action space. Next, we design a feature representation for states and come up with the best kind of neural network structure through comparisons. Then, we conduct experiments to compare several search strategies with the trained network as the heuristic and find the best one. Fi- nally, we evaluate the solvability of our system and conclude that our approach has a certain capability for solving small-scale problems.