Miracle-dz/UniFAR-FTUs huggingface dataset:
MINDSET AS IT RELATES TO IMPLEMENTATION OF MOBILE DEVICES FOR INSTRUCTION

ii Acknowledgment. iii Dedication. iv List of Tables. viii Chapter 1: Introduction . 1 Brief History . 5 Dweck’s Mindset Theory. 9 Statement of the Problem . 10 Purpose of the Study . 12 Research Questions. 13 Theoretical Framework . 14 Significance of the Study . 15 Definition of Terms and Abbreviations. 16 Assumptions. 18 Limitations . 19 Delimitations . 19 Summary . 19 Chapter 2: Literature Review . 21 Search Terms. 21 General History of Educational Technology. 21
Sampled-Data MPC for Leader-Following of Multi-Mobile Robot System

- In this paper, we propose a sampled-data model predictive tracking control deign for leader-following control of multi-mobile robot system. The error dynamics of leader-following robots is modeled as a Linear Parameter Varying (LPV) model. Also, the Lyapunov function is presented to guarantee stability of the networked control system. Based on the stabilization condition using a quadratic Lyapunov function approach, model predictive sampled-data controller is designed. Finally, the leader-following control of multi mobile robots is simulated to show effectiveness of the proposed method
Implementasi SMS Gateway sebagai Media Penyebar Informasi Akade-mik di Kampus UPI Cibiru

Keterlambatan dalam menerima informasi merupakan suatu hal yang dapat menghambat tujuan dari informasi tersebut, oleh karena itu dalam era digital saat ini penyebaran informasi yang cepat merupakan salah satu hal yang dibutuhkan agar informasi dapat segera dimanfaatkan dengan baik sebagaimana mestinya. Salah satu solusi dari permasalahan itu adalah dengan membuat media penyebar informasi secara cepat berbasis SMS Gateway. Dengan menggunakan SMS Gateway suatu sistem dapat menghubungkan satu orang dengan beberapa orang sekaligus tanpa batasan anggota penerima maupun koneksi internet dari semua pihak, berbeda dengan grup Whatsapp Messenger yang hanya bisa menampung maksimal 256 anggota dan harus selalu terkoneksi internet untuk mengaksesnya. Dalam penelitian ini dirancang sebuah aplikasi yang memanfaatkan teknologi berbasis SMS Gateway dengan menggunakan Gammu sebagai aplikasi utama SMS Gateway, framework PHP sebagai tampilan antarmuka, serta MySQL sebagai database penyimpanan. Penelitian telah menghasilkan suatu sistem berbasis SMS Gateway sebagai sarana penyebar informasi akademik di lingkungan Kampus UPI Cibiru yang dapat digunakan untuk mengirim pesan keseluruh civitas akademika secara cepat.
‘Fighting a losing battle’: prisoners’ perspectives of treatment as prevention for hepatitis C with inadequate primary prevention measures

Abstract Hepatitis C virus (HCV) is a global public health concern. Prisoners are particularly affected, with high prevalence and ongoing HCV transmission. The Surveillance and Treatment of Prisoners with hepatitis C (SToP-C) study is implementing the first trial of HCV treatment as prevention (TasP) in the prison setting, i.e., scaling up treatment at sufficient scale to achieve a preventive effect. This qualitative sub-study sought to explore prisoners’ perceptions of feasibility of TasP. Participants were recruited from four correctional centres in New South Wales, Australia, including one women’s prison. Thirty-two prisoners with a history of injecting drug use participated in interviews prior to prison-wide HCV treatment scale-up. All participants had been screened for HCV within the previous 6 months; half (n = 16) had chronic HCV; n = 2 were awaiting test results. Concerns regarding prisoner movements (e.g. transferred to another prison, or incarceration-release-incarceration) and perceived subsequent risks for HCV reinfection were consistently raised as a major challenge for TasP elimination efforts. Suggestions for harm reduction measures to assist TasP effectiveness (and reduce risk of re-infection) included education and prison needle syringe programmes. Prisoners remain concerned about long-term effectiveness of TasP efforts without access to effective prevention measures and subsequent risk of (re-)infection.
How to Translate Self-Management Support Tools Into Clinical Practice: A Report From the INSTTEPP Trial and Meta-LARC Consortium.

Purpose Patient self-management is an inevitable part of the work of being a patient, and self-management support (SMS) has become increasingly important in chronic disease management. However, the majority of SMS resources available in the Agency for Healthcare Research and Quality SMS Resource Library were developed without explicit collaboration between clinicians and patients. Methods Translation of SMS tools derived from the library into primary care practices occurred utilizing boot camp translation in four different practice-based research networks (PBRNs). The typical model of boot camp translation was adapted for the purpose of the Implementing Networks' Self-management Tools Through Engaging Patients and Practices (INSTTEPP) study to develop SMS tools for implementation in the participating practices. Clinicians, clinic staff members, and patients were involved throughout the translation process. Existing resources from the SMS library were reviewed and adapted by each boot camp translation group to create tools unique to the patients in each network. Results There was no preexisting resource within the library that was deemed suitable for implementation without modification. Each network adapted tools from the SMS library to create different products. Common themes emerged from each network's translation process that highlighted the importance of patient engagement in the translation process. Boot camp translation, in conjunction with PBRNs, can be implemented to adapt SMS tools for implementation in member practices. Conclusions Boot camp translation with a combination of practices and patients can be implemented to facilitate a process of local adaptation that improves the local applicability of SMS tools in primary care clinics.
Integrating Resistance Training Into High School Curriculum

Resistance training for youth athletes is becoming increasingly common. Integrating a periodized resistance training program into school curriculum can help develop athleticism for all youth. This article aims to provide an overview of a resistance training program used in a New Zealand secondary school. Provided is an insight into the levels of planning for an effective athletic development program. Properly sequenced training blocks are essential in achieving long-term success. Additionally, coaches must be sufficiently certified and qualified to work with youth, which includes tailoring approaches to varying levels of skill and providing effective feedback.
IoT-ID: A Novel Device-Specific Identifier Based on Unique Hardware Fingerprints

A significant number of IoT devices are being deployed in the wild, mostly in remote locations and in untrusted conditions. This could include monitoring an electronic perimeter fence or a critical infrastructure such as telecom and power grids. Such applications rely on the fidelity of data reported from the IoT devices, and hence it is imperative to identify the trustworthiness of the remote device before taking decisions. Existing approaches use a secret key usually stored in volatile or non-volatile memory for creating an encrypted digital signature. However, these techniques are vulnerable to malicious attacks and have significant computation and energy overhead. This paper presents a novel device-specific identifier, IoT-ID that captures the device characteristics and can be used towards device identification. IoT-ID is based on physically unclonable functions (PUFs), that exploit variations in the manufacturing process to derive a unique fingerprint for integrated circuits. In this work, we design novel PUFs for Commercially Off the Shelf (COTS) components such as clock oscillators and ADC, to derive IoT-ID for a device. Hitherto, system component PUFs are invasive and rely on additional dedicated hardware circuitry to create a unique fingerprint. A highlight of our PUFs is doing away with special hardware. IoT-ID is non-invasive and can be invoked using simple software APIs running on COTS components. IoT-ID has the following key properties viz., constructability, real-time, uniqueness, and reproducibility, making them robust device-specific identifiers. We present detailed experimental results from our live deployment of 50 IoT devices running over a month. Our edge machine learning algorithm has 100% accuracy in uniquely identifying the 50 devices in our deployment and can run locally on the resource-constrained IoT device. We show the scalability of IoT-ID with the help of numerical analysis on 1000s of IoT devices.
Feature-based hybrid inspection planning for complex mechanical parts

Globalization and emerging new powers in the manufacturing world are among many challenges, major manufacturing enterprises are facing. This resulted in increased alternatives to satisfy customers' growing needs regarding products' aesthetic and functional requirements. Complexity of part design and engineering specifications to satisfy such needs often require a better use of advanced and more accurate tools to achieve good quality. Inspection is a crucial manufacturing function that should be further improved to cope with such challenges. Intelligent planning for inspection of parts with complex geometric shapes and free form surfaces using contact or non-contact devices is still a major challenge. Research in segmentation and localization techniques should also enable inspection systems to utilize modern measurement technologies capable of collecting huge number of measured points. Advanced digitization tools can be classified as contact or non-contact sensors. The purpose of this thesis is to develop a hybrid inspection planning system that benefits from the advantages of both techniques. Moreover, the minimization of deviation of measured part from the original CAD model is not the only characteristic that should be considered when implementing the localization process in order to accept or reject the part; geometric tolerances must also be considered. A segmentation technique that deals directly with the individual points is a necessary step in the developed inspection system, where the output is the actual measured points, not a tessellated model as commonly implemented by current segmentation tools. The contribution of this work is three folds. First, a knowledge-based system was developed for selecting the most suitable sensor using an inspection-specific features taxonomy in form of a 3D Matrix where each cell includes the corresponding knowledge rules and generate inspection tasks. A Travel Salesperson Problem (TSP) has been applied for sequencing these hybrid inspection tasks. A novel region-based segmentation algorithm was developed which deals directly with the measured point cloud and generates sub-point clouds, each of which represents a feature to be inspected and iv includes the original measured points. Finally, a new tolerance-based localization algorithm was developed to verify the functional requirements and was applied and tested using form tolerance specifications. This research enhances the existing inspection planning systems for complex mechanical parts with a hybrid inspection planning model. The main benefits of the developed segmentation and tolerance-based localization algorithms are the improvement of inspection decisions in order not to reject good parts that would have otherwise been rejected due to misleading results from currently available localization techniques. The better and more accurate inspection decisions achieved will lead to less scrap, which, in turn, will reduce the product cost and improve the company potential in the market.
COMORBIDITY AND MULTIMORBIDITY AMONG ADULT PATIENTS IN ALBANIA

Background : Our aim was to assess the prevalence and “predictors” of comorbidity and multimorbidity in adult patients in Albania, a former communist country in the Western Balkans. Methods : This was a case-series study conducted during August 2013–June 2014 including 974 patients (46.6% men aged 61.2±13.8 years and 53.4% women aged 61.3±13.1 years) admitted at the Service of Internal Medicine and Hypertension, University Hospital Center “Mother Teresa”, Tirana. Data on socio-demographic factors, lifestyle characteristics and a detailed clinical profile was collected for all study participants. Binary logistic regression was used to assess the association between comorbidity and multimorbidity with socio-demographic characteristics and lifestyle factors. Results : About 54% of the patients were ≥61 years old; about 38% of participants were residing in Tirana; and about 46% of the patients were currently employed. Overall, the prevalence of smoking was 16% (30.4% in men vs. 3.5% in women, P Conclusion : T his study informs about the prevalence and selected determinants of comorbidity and multimorbidity among Albanian hospitalized patients. Our findings indicate that the burden of comorbidity and multimorbidity is high in the Albanian patients, especially among the older people. Future studies should estimate the magnitude and distribution of comorbidity and multimorbidity in the general population of Albania. Keywords: Albania, comorbidity, concomitant disease, internal medicine, multimorbidity.
Hybrid Recommender for Online Petitions with Social Network and Psycholinguistic Features

The online petition has become one of the most important channels of civic participation. Most of the state-of-the-art online platforms, however, tend to use simple indicators (such as popularity) to rank petitions, hence creating a situation where the most popular petitions dominate the rank and attract most people’s attention. For the petitions which focus on specific issues, they are often in a disadvantageous position on the list. For example, a petition for local environment problem may not be seen by many people who are really concerned with it, simply because it takes multiple pages to reach it. Therefore, the simple ranking mechanism adopted by most of the online petition platforms cannot effectively link most petitions with those who are really concerned with them. According to previous studies online, petitions seriousness has been questioned due to the rare chance of succeeding. At most, less than 10% of online petitions get the chance to fulfill their causes. To solve this problem, we present a design of a novel recommender system (PETREC). It leverages social interaction features, psycholinguistic features, and latent topic features to provide a personalized ranking to different users. Hence, it can give users better petition recommendations fitting their unique concerns. We evaluate PETREC against matrix factorization collaborative filtering and content-based filtering with the bag of words (Bow) features as two baseline recommenders for benchmarking. PETREC prediction performance outperformed Matrix factorization collaborative filtering, Bow petition-based content filtering, and Bow user-based content filtering with 4.2%, 1.7%, and 2.8% respectively as improvements in Root Mean Square Error (RMSE). The recommendation system described in this paper has potential to improve the user experience of online petition platforms. Thus, it is possible that it could encourage more public participation. Eventually, it will help the citizens to make a real difference through actively participating in online petitions that are matching their personalized concerns.
A PKC-based security architecture for WSN

It is an important challenge to find out suitable cryptography for WSN due to limitations of energy, computation capability and storage resources. Considering this sensor feature on limitations of resources, a security architecture based-on public key cryptography is proposed. The security architecture is based on identity based cryptosystem, but not requires key handshaking. The analysis shows that the security architecture ensures a good level of security and is very much suitable for the resources constrained trend of wireless sensor network.
Teradata SQL: Unleash the Power

Teradata SQL - Unleash the Power is a data warehouse developers dream guide. It contains 441 pages of SQL dynamite showing both ANSI and Teradata SQL in an easy to understand manner. The book has detailed ANSI and Teradata comparisons, syntax, examples, and tips and tricks learned from the industries top two SQL experts. Let Tera-Tom Coffing and Mike Larkins teach you from their experience at over 125 different Teradata sites worldwide. This book was the number one selling book at the Teradata Partners Conference 2001.
Dependable Wireless Sensor Networks by Dynamic Redundant Deployment

It is essential for Wireless Sensor Networks (WSN) to be deployed in a dependable manner to extend the network life time and to stay functional as long as possible. Redundancy has always been the key ingredient used to provide Dependability. The concepts of k-connectivity have been used in the recent years to quantify this redundancy and fault tolerance and dependability. In this paper we analyze in depth the concept of dependability and its threats in WSN. Furthermore propose deployment algorithm based on redundancy. The redundancy is not uniform but concentrated around areas of the network that are either more vulnerable or whose failure is more consequential.
The role of shikimic acid in regulation of growth, transpiration, pigmentation, photosynthetic activity and productivity of Vigna sinensis plants

The effect of shikimic acid on growth parameters, total leaf conductivity, transpiration, photosynthetic pigments, 1 4 C assimilation and productivity of Vigna sinensis (Fabaceae - Phaseoleae) plants was studied. Shikimicacid application led to an increase in fresh and dry weights of cowpea plants and enhances leaf expansion as well as the root length and plant height. Seed pretreatment with shikimic acid at various doses induces a marked increase in total leaf conductivity and transpiration rate at different stages of growth. Shikimic acid at all concentrations was found to stimulate the production of Chl.a, Chl.b, Carotenoids and 1 4 C fixation during leaf growth and development. Furthermore, shikimic acid at various doses applied improved yield and yield components of cowpea plants by increasing the number of pods/plant, length of pod, number of seeds/pod, seed biomass and 100-seed weight. The protein content of yielded seeds was increased in response to shikimic acid treatments. On the other hand, shikimic acid at all concentrations significantly decreased the polysaccharide content of developed cowpea seeds. In the majority of cases, the absolute values of total soluble sugars and sucrose in cowpea seeds appeared to be non-significantly affected in response to seed priming with shikimic acid.
A Novel Protection of PWS & Sensitivity profile

Personalized web search (PWS) has provided its efficacy in amending the quality of sundry search accommodations on the Internet. Personalized search is a promising way to amend the precision of web search, and has been magnetizing much attention now days. But efficacious, personalized search requires aggregating and amassing utilizer information, which cause privacy infringement for many users; these infringements have become one of the main obstacles to deploying personalized search applications, and great challenge of how to do privacy preserving personalization. We study privacy aegis in PWS applications that model utilizer predilection as hierarchical utilizer profiles. We propose a PWS framework called UPS (Utilizer customizable Privacy-preserving Search) that can adaptively generalize profiles by queries while revering utilizer designated privacy requisites. Our runtime generalization has aims of keeping a balance between two predictive metrics that evaluate the utility of personalization and the privacy risk of exposing the utilizer generalized profile.
Automatic Target Recognition for CT-based Airport Screening System

To construct an automatic target recognition CT-based screening system for airport, this paper introduces a method by combining two hot technology, CT Image Processing and Machine Learning together. With the grey-scale features and the Histogram of Oriented Gradient (HOG) features extracted from the CT images, we can train different classifier (SVM, KNN) to recognize the targets (saline, rubber, clay) we want. By comparing the recall rate and precision rate of each classifier, we may find the best classifier for this project.
The historical evolution of the six-minute walk test as a measure of functional exercise capacity: a narrative review

Chronic disorders are usually associated with impairment of functional capacity (ability to perform activities of daily living), hence, necessitating routine evaluation and monitoring of this impairment at baseline and in response to interventions as part of standard of care. The six-minute walk test (6MWT) is one of the most common modalities for the measurement, monitoring and prognostication of functional capacity. Since its development in the early 1980s, it has witnessed an increasing use as a valid and reliable tool for the objective quantification of the functional capacity of children, adolescents and adults with various chronic cardiopulmonary, haematologic, neuromuscular and metabolic disorders. It has become the most widely used tool for the evaluation of functional capacity by physicians, physical therapists, physiologists, rehabilitation specialists and nurse practitioners involved in the care of adults and children with these disorders. There exists a rich and growing body of literature on the evolution of this test from pre-existing measures of functional capacity, its measurement properties and utility in various adult and paediatric chronic disorders, as well as reference standards derived from healthy paediatric and adult populations. This review chronicles the landmark milestones in the evolution of this test and provides an up-to-date reference of important contributions to the development of the test for clinicians and researchers. Thus, it not only fills a need for the historical background of this test, but also provides a rich reference source of key works on different aspects of the test for the benefit of clinicians and researchers. The documentation of the historical background of clinical tests may also serve as inspiration for practitioners to be curious and innovative as they seek to optimise patients’ care and functioning.
A low-power high-output-efficiency bipolar Colpitts VCO using base inductive feedback and Q-factor enhancement for analog signal acquisition

A low-power Colpitts VCO with high output e ﬃ ciency that uses base inductive feedback and Q-factor enhancement techniques is proposed in this paper. The base inductive feedback technique employs an inductor at the base of the bipolar transistor to generate a feedback enhancement e ﬀ ect and reduce the start-up current. The Q-factor enhancement technique adopts a capacitor voltage divider at the output of the Colpitts VCO to improve the DC-to-RF e ﬃ ciency. The mechanisms are theoretically analyzed, and then a 433MHz Colpitts VCO is designed to verify the scheme. Its DC consumption is as low as 270µW while the operating frequency is 433MHz. Finally, the Colpitts VCO is applied in a wireless neural signal recording system and works well. Thus, the pre-sented VCO is suitable for analog signal acquisition system in the extremely power-constrained wireless scenarios.