Miracle-dz/UniFAR-FTUs huggingface dataset:
The effectiveness of the acceptance and commitment therapy ( ACT ) approach on quality of life and hemoglobin A 1 c among patients with type 2 diabetes

Background and aim: Diabetes is a chronic disease which is accompanied by high risk of disability and mortality, especially when it does not comply with the individual’s lifestyle. The present study was conducted by the aim of investigating the effectiveness of the acceptance and commitment therapy (ACT) approach on quality of life and hemoglobin A1c among patients with type 2 diabetes. Methods: The current study was conducted by semi-experimental method with pretest-posttest with control group design in which 30 patients referring to specialized diabetes clinic of Dr. Gharazi subspecialty hospital were assigned into two experiment and control groups through random sampling method. First, for examining lack of Axis-I disorders in patients, a structured interview questionnaire (SCID-I), and then the diabetes quality of life questionnaire (DQL) and hemoglobin A1c test were administered for both experiment and control groups. Afterwards, the acceptance and commitment therapy was provided for the experiment group in 10 120-minute sessions. After administering the therapy, both groups completed the diabetes quality of life questionnaire and hemoglobin A1c test again. Results: The mean of the experimental group was higher in the quality of life than the control group and decreased in the hemoglobin A1c. The effect of the interventional factor on quality of life was not statistically significant and the independent variable has not caused differences among the groups (P=0.859). The effect of intervention on Hemoglobin A1C was statistically significant and the independent variable caused differences among the groups (P=.046). Conclusion: The acceptance and commitment therapy, in 10 sessions, can significantly decrease hemoglobin A1c which, eventually, leads to decrease in diabetes complications and patient’s recovery, reduced mortality, reduced direct and indirect expenses for the patient, the patient’s family and the health care system of the country. Key word: acceptance and commitment therapy (ACT), quality of life, hemoglobin A1c, patients with type 2 diabetes.
The first Dutch nearly zero energy schools: their indoor air quality

During the last decade different types of sustainable schools were built. However, there is danger that the focus on energy reduction leads to less attention towards the quality of the indoor environment and the thermal comfort as was found out from earlier research. This paper presents recent results of ongoing research towards IAQ of the first series of 6 nearly Zero Energy schools in the Netherlands. To be able to draw conclusions about the IAQ and thermal comfort in these schools during one week the most important parameters related to Indoor Air Quality and thermal comfort were measured and questionnaires were held. It proved that although in most situations the schools did meet most of the performance levels as defined by the design criteria, the perceived IAQ and thermal comfort was not according to the required quality level. So when applying sustainable design strategies for schools especially the aspects related to IAQ should be given more attention to make sure that there will be a comfortable, healthy and optimal learning environment.
A Transition of Health Habits and Self-rated Health Status of Women Aged in Early Adulthood

Purpose: This study was designed to compare health habit and self-rated health status among early adulthood women in 1995, 2001, and 2007. Also, it was performed to determine correlations between health habits and self-rated health status. Methods: This research was investigated to identify a transition of health habits and self-rated health status. Participants who agreed to participate in the study were 18~25years old college women. Data was collected from 380 college students in 1995, 196 college students 2001, and 411 college students in 2007. Health habit assessment questionnaire was developed by authors. The reliability of the questionnaire were Cronbach =. 87. Cronbach =. 85, Cronbach =. 90. The visual analogue scale which had 100 self-rating scores was used. All statistical analyses were used the Statistical Package for Social Sciences for Windows, Statistical analyses included descriptive statistics, Levene's test, repeated measure ANOVA, Brown-Forsythe test, Turkey test, Games-Howell test, and Pearson correlation coefficient test. Results: Health habit level, and self-rated heath status were significantly increased over time after 1995. Health habits was correlated with self-rated health status. Conclusion: Health habits and self-rated health status were influenced by health environments. Health practitioner can use perceived health status to access health habits.
Minimal Kernel: An Operating System Architecture for TEE to Resist Board Level Physical Attacks

ARM specifications recommend that software residing in TEE’s (Trusted Execution Environment) secure world should be located in the on-chip memory to prevent board level physical attacks. However, the on-chip memory is very limited, placing significant limits on TEE’s functionality. The minimal kernel operating system architecture addresses this problem by building a small kernel which executes the whole TEE system only on the on-chip memory on demand and cryptographically protects all the data/code stored outside of SoC. In the architecture, a small kernel is built inside the TEE OS kernel space and achieves the minimal size by only including the very essential components used to execute and protect the TEE system. The minimal kernel consists of a minimal demand-paging system, which sets the on-chip memory as the only working memory for the TEE system and the off-chip memory as a backing store, and a memory protection component, which provides confidentiality and integrity protection on the backing store. A Merkle tree based memory protection scheme, reducing the requirement for on-chip memory, allows the minimal kernel to protect large trusted applications (TAs). This OS organization makes it possible to achieve the goal of physical security without losing any TEE’s functionality. We have incorporated a prototype of minimal kernel into OPTEE, a popular open source TEE OS. Our implementation only requires a runtime footprint of 100 KB on-chip memory but can protect the entire OP-TEE kernel and TAs, which are dozens of megabytes.
Tip Position Control of Single Flexible Links via Parallel Feedforward Compensation

Developed in this work, is a simple and innovative control method, by which a nonminimum-phase (NMP) process can be easily stabilized in a closed-loop setting. The method is named as the parallel feed-forward compensation with derivative effort (PFCD). Through use of a high order process, the control system designed by the PFCD method is shown to be less influenced by noise, disturbance, and model mismatch, compared to other methods. Moreover, the necessary data required for implementing the PFCD method are discussed. The proposed control method is illustrated on tip position control in a slewing beam as a flexible robot arm, in which the effectiveness of the PFCD method is demonstrated. In addition, the proposed control method is compared with the existing methods in terms of stability and performance. The paper is concluded with notes about the advantages.
Can the Learnability Criterion Ensure Determinacy in New Keynesian Models ? WORKING PAPER 87 / 2014

Forward-looking RE models such as the popular New Keynesian (NK) model do not provide a unique prediction about how the model economy behaves. We need some mechanism that ensures determinacy. McCallum (2012) says it is not needed because models are learnable only with the determinate solution and so the NK model, once learnt in this way, will be determinate. We agree: the only learnable solution that has agents converge on the true NK model is the bubble-free one. But once they have converged they must then understand the model and its full solution therefore including the bubble. Hence the learnability criterion still fails to pick a unique RE solution in NK models.
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Existing enhancement methods are empirically expected to help the high-level end computer vision task: however, that is observed to not always be the case in practice. We focus on object or face detection in poor visibility enhancements caused by bad weathers (haze, rain) and low light conditions. To provide a more thorough examination and fair comparison, we introduce three benchmark sets collected in real-world hazy, rainy, and low-light conditions, respectively, with annotated objects/faces. We launched the UG2+ challenge Track 2 competition in IEEE CVPR 2019, aiming to evoke a comprehensive discussion and exploration about whether and how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios. To our best knowledge, this is the first and currently largest effort of its kind. Baseline results by cascading existing enhancement and detection models are reported, indicating the highly challenging nature of our new data as well as the large room for further technical innovations. Thanks to a large participation from the research community, we are able to analyze representative team solutions, striving to better identify the strengths and limitations of existing mindsets as well as the future directions.
Intelligent Video Surveillance in Crowds

Organizations today face new and more insidious threats than they ever have in the past. To protect personnel and infrastructure alike requires a level of vigilance not previously anticipated. A new technology called Intelligent Video Surveillance employs state of the art computer vision technology to automate the process of watching CCTV video signals – making video a proactive defense sensor. Unfortunately, the state of the art in computer vision is somewhat limited when scenes become very complex – it’s very hard to teach a computer to understand what is going on in a crowded scene. One approach to solving this problem is to detect and recognize the actions of individuals within a crowded scene. This technology is, as yet, in its infancy. Another approach is to use an optical flow technique to track the gross motion of a crowd. From this, many threatening activities may be inferred even if the individual perpetrators are not identified. A specific example of this type of technology is described that can detect counter-flow – that is, someone moving against the flow of a crowd. This functionality has applications in public safety, traffic monitoring, and airport security.
An Efficient P2P IPTV Transmission Scheme under NAT Architecture

An emerging Internet application, IPTV, has the potential to flood Internet access network and backbone ISPs with massive amount of multimedia traffic. Although many architectures are available for IPTV video distribution, several mesh-pull P2P architectures have been successfully deployed on the Internet. Nowadays, IPTV over P2P streaming networks has advanced significantly using two different approaches: tree-push versus mesh-pull. In particular, the mesh-pull streaming approach has achieved a number of successful commercial deployments. Thanks to slow deployment of multicast deployment, IPTV streaming traffic overwhelms the internet. We proposed a novel IPTV and P2P-IPTV transmission scheme that allows server transmit single connection instead of multiple connection, which saves bandwidth and also increase IPTV broadcasting quality.
A Role of information studies for future AI and Robotics era

As the technical evolution of artificial intelligence(AI) and robots, we expect them to play social important roles. In this paper, we discuss what we should know about the characteristics of AI and robots. As a research of information education, we think the following three points are important. (1) Many users will accept the computer’s answer without the accountability because they are giving up to know about the computer systems’ behavior. So information education will play an important role. (2) We must provide opportunities of learning the statistics in nation wide because many people must know that AI may result statical error. (3) Researchers in this field in AI-era must think of professional ethics and information education.
Fall 12-20-2016 Real-time Online Chinese Character Recognition

In this project, I am going to build a web application for handwritten Chinese characters recognition in real time, which means this system will determine a Chinese character while user is drawing/writing. While utilizing different tools to build the app, the techniques I use to build the recognition system including data preparation, preprocessing, features extraction, and classifying. To increase the accuracy, two different types of neural networks will be used in the system: multi-layer neural network and convolutional neural network.
Blow-up for Semidiscretisations of a Semilinear Schrodinger Equation with Dirichlet Condition

Theoretical study of the phenomenon of blow-up solutions for semilinear Schrodinger equations has been the subject of investigations of many authors. It is said that the maximal time interval of existence of the solution blows up in a finite time when this time is finite, and the solution develops a singularity in a finite time. In fact, semilinear Schrhodinger equation models a lot of physical phenomenon such as nonlinear optics, energy transfer in molecular systems, quantum mechanics, seismology, plasma physics. In the past, certain authors have used numerical methods to study the phenomenon of blow-up for semilinear Schrodinger equations. They have considered the same problem and one proves that the energy of the system is conserved, and the method used to show blow-up solutions are based on the energy's method. This paper proposes a method based on a modification of the method of Kaplan using eigenvalues and eigenfunctions to show that the semidiscrete solution blows up in a finite time under some assumptions. The semidiscrete blow-up time is also estimate. Similar results are obtain replacing the reaction term by another form to generalise the result. Finally, this paper propose two schemes for some numerical experiments and a graphics is given to illustrate the analysis.
A grounded theory exploration of staff and patients' experiences of self-harming by ingestion

This thesis addresses the issue of self-harm by ingesting foreign bodies, a form of self-harm which has received little research attention. Part one presents a systematic review of the literature on deliberate ingestion in adults. This aimed to critically assess the literature to ascertain the current theoretical understanding of ingestion and identify gaps in the evidence base. Most of the literature identified was predominantly surgical in orientation, meaning there is to date little understanding of the psychological processes which underpin ingestion. No qualitative research has been undertaken into the experiences of those ingest, or the staff who work with them, which could serve to redress this deficit. Part 2 presents a qualitative study utilising a constructivist Grounded Theory approach which investigated the meanings and functions of ingestion from both a patient and staff perspective. Six patients and six members of staff were recruited from independent sector providers and the NHS. Analysis of the semi-structured interviews revealed a core category of a ‘Journey through Ingestion’ which was characterised by the three stages, ‘Starting Swallowing’ ‘Discovering the Benefits’ and ‘Breaking Free’. The category ‘Struggling with Swallowing’ identified interpersonal and systemic processes within the inpatient environment which were key to understanding ingestion. Part 3 offers a critical reflection on the process of conducting this research. It focuses on four key areas: recruitment, the interview process, transcription and analysis, and the integration of staff and patient perspectives. In light of these discussions it offers recommendations for future researchers and clinical services providing treatment for patients who ingest.
Title : Transparent Grid Computing : a Knowledge-Based Approach

Grid computing provides key infrastructure for distributed problem solving in dynamic virtual organizations. It has been adopted by many scientific projects, and industrial interest is rising rapidly. However, Grids are still the domain of few highly trained programmers with expertise in networking, high-performance computing, and operating systems. This paper describes our initial work in capturing knowledge and heuristics about how to select application components and computing resources, and using that knowledge to generate automatically executable job workflows for the Grid. Our system is implemented and integrated with a Grid environment where it has generated dozens of workflows with hundreds of jobs in real time. The paper also discusses the prospects of using AI to improve current Grid infrastructure. Transparent Grid Computing: a Knowledge-Based Approach Jim Blythe, Ewa Deelman, Yolanda Gil, Carl Kesselman USC Information Sciences Institute 4676 Admiralty Way, Suite 1001 Marina Del Rey, CA 90292 {blythe, deelman, gil, carl}@isi.edu
Implicit and Explicit Gender Stereotypes and Their Relationship to Self-Concept

Traditionally, boys are viewed as better in math and sports than girls. This study examines children's implicit and explicit gender stereotype endorsement and their self-ratings in math and sports. Fifty-seven children participated. The affective misattribution procedure (AMP) was used to measure implicit stereotypes, and children completed a paper and pencil measure of explicit stereotypes and self-concept. No correlations were found between implicit and explicit stereotypes among boys and girls, suggesting implicit and explicit views are not in accordance. Boys and girls differed on both implicit and explicit stereotype measures. A significant threeway interaction on explicit stereotype scores showed that girls viewed girls as equally competent in math and sports, whereas boys viewed girls as better in math than in sports. Both boys and girls viewed boys as better in sports than girls, and as better in sports than in math. Implicit scores indicated that boys were also more likely to associate girls with being better at math than sports. Regarding gender group stereotype endorsement, boys support traditional sports stereotypes, but not traditional math stereotypes. Contrary to expectations, girls' implicit scores showed that both boys and girls were more strongly associated with being good in sports than with being good in math. Boys reported significantly higher self-concept than girls in math and sports. Results indicate that gender stereotypes still exist, but they differ by gender. These differences potentially impact behavior within the classroom environment, as well as career path
Implementation of Open-Source for Outdoor Multirotors Helicopter

This paper presents an Open-Source Project (OSPs) platform for autonomous Unmanned Aerial Vehicle (UAV) that can be implemented in most of the outdoor applications or even in research experimental purposes. The OSP platform is one of the most popular approaches for whose demanding faster and low initial cost platform development in robotics system as well as for aerial vehicles. Besides that, the main reason is their design flexibility in both hardware and software. The explanations in the OSP platform approach and configuration for autonomous flight is presented and applied. This paper also provided several outdoor experiments results in uncontrolled environment that have been executed using our developed test bed to evaluate their performance, such as attitude and altitude stabilization, interference and vibration effect, and 3D trajectory mapping generation. In addition, we has been successfully extended this OSP development approach in preparing six and eight rotors aerial vehicle system. Finally, throughout this project, we have shown and proven that the OPSs platform for outdoor multirotor development promising a flexible solution.
Racial Attitudes Through a Partisan Lens

Abstract The conventional wisdom is that racial attitudes, by forming through early socialization processes, are causally prior to most things political, including whites' party identifications. Yet a broad literature demonstrates that partisanship can shape mass attitudes. The author argues that this influence extends even to presumptively fundamental predispositions like racial attitudes. The study applies cross-lagged models to panel data from the 1990s and 2000s to demonstrate that whites align their racial attitudes with their party loyalties. The results demonstrate that partisanship has a more pronounced influence in the latter time period, which is consistent with a view that changes in the political context can make partisanship a more likely causal force on other attitudes. Racial concerns not only provide a foundation for political conflict: my results reveal that political processes can increase or decrease racial animus.
EFFECT OF HARVEST FREQUENCY AND FERTILIZATION ON YIELDS AND QUALITY OF FORAGE

The effect of fertilization and the harvest frequency on production and floristic characteristics of a meadow stand were assessed in a small plot trial established in 2003 in Vatín, Vysočina Region, the Czech Republic. Four levels of fertilization (none; N0 + P30 + K60 kg∙ha; N90 + P30 + K60 kg∙ha; N180 + P30 + K60 kg∙ha) were combined with four treatments of exploitation intensity (4 cuts per year, first cut on 15th May, every next after 45 days; 3 cuts per year, first cut on 30th May, every next after 60 days; 2 cuts per year, first cut on 15th June, next after 90 days; 2 cuts per year, first cut on 30th June, next after 90 days). Production of dry matter and forage quality was evaluated. Data from 2009–2011 were used in this paper. Yields of the dry matter increased along with increasing amounts of nutrients supplied and ranged from 3.8 t∙ha (non-fertilized) to 9.1 t∙ha (N180PK). With respect to the exploitation intensity, highest yields were attained under two-cut management (6.8 t∙ha in extensive and 6.3 t∙ha in low-intensive variant) compared to threeand four-cut variants (both 6.1 t∙ha). Concerning qualitative parameters of forage, exploitation intensity affected significantly concentration of NEL, crude protein and fibre. The highest concentration of NEL was in 4-cut (5.44 MJ∙kg), crude protein in 4-cut (155.7 g∙kg) and fibre in 2-cut late (269.8 g∙kg). The results showed significant differences among all the levels of fertilization. The highest concentration was observed in N180PK fertilization: crude protein 144.77 g∙kg1 and fibre 258.6 g∙kg.
Chapter 7 Application and Conversion of Soybean Hulls

Soybean is one of the most cultivated crops in the world, with a global production of approximately 240 million tons, generating about 18–20 million tons of hulls, the major by-product of soy industry. The chemical composition of soybean hulls depends on the efficiency of the dehulling process, and so, the soybean hulls may contain variable amounts of cellulose (29–51%), hemicelluloses (10–25%), lignin (1–4%), pectins (4–8%), proteins (11–15%), and minor extractives. This chapter provides a review on the composition and structure of soybean hulls, especially in regard to the application and conversion of the compositions. Current applications of soybean hulls are utilizations to animal feed, treatment of wastewater, dietary fiber, and herbal medicine. The conversion of soybean hulls is concerned with ethanol production, bio-oil, polysaccharides, microfibrils, peroxidase, and oligopeptides. On the basis of the relevant findings, we recommend the use of soybean hulls as important source on environment, energy, animal breeding, materials, chemicals, medicine, and food.