Miracle-dz/UniFAR-FTUs huggingface dataset:
A proposal for design personalization of WEB page

Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle. These phases include data collection and preprocessing, pattern discovery and evaluation, and finally applying the discovered knowledge in real-time to mediate between the user and the Web. So the proposed system specially designed to availability for changing visual setting of sites from user and saving the changes (colors, fonts and positions of some parts of site). This setting different from user to another and the Site is always display automatically all information and links that the user need and likes. This can be done from studding the behavior of user through interval of time (like one week) and the site containing suitable design of database (expandable, can be used from more than one user at the same time and can be connect with it locally or remotely). So the required files are filtered in an efficient manner according to our algorithm, moreover from this algorithm we improve our system’s efficiency, frequency and memory.
Development of an Ensemble Learning-based intelligent model for Stock Market Forecasting

The use of artificial intelligence-based models have shown that the market is predictable despite its uncertainty and unstable nature. The most important challenge of the proposed models in the stock market is the accuracy of the results and increasing the forecasting efficiency. Another challenge, which is a prerequisite for making decision and using the results of the forecast for profitability of transactions, is to forecast the trend of stock price movements in forecasting price. To overcome the mentioned challenges, this paper employs ensemble learning (EL) model using intelligence-based learners and metaheuristic optimization methods to maximize the improvement of forecasting performance. In addition, in order to consider the direction of price change in stock price forecasting, a two-stage structure is used. In the first stage, the next movement of the stock price (increase or decrease) is forecasted and its outcome is then employed to forecast the price in the second stage. In both stages, genetic algorithm (GA) and particle swarm optimization (PSO) technique are used to optimize the aggregation results of the base learners. The evaluation results of stock market dataset show that the proposed model has higher accuracy compared to other models used in the literature.
Scaffolding Technique

Over the past few decades, scaffolding has been a promising technique used in teaching and learning. Indeed, the metaphor of scaffolding has been used as the name of a theoretical construct in the field of education in general and language teaching in particular. However, this metaphor has also been used, more loosely, for any supportive teaching. The term scaffolding is originally a construction-related concept. The scaffolding in the building profession refers to the temporary structures used to help workers construct or renovate buildings. The introduction of the term in the domain of education goes back to the 1970s. Scaffolding is usually associated with the Soviet psychologist Lev Vygotsky, and his work was an impetus for the development of this method. However, the English term was used in Bruner and Sherwood’s (1976) study in which the authors investigated mother–child interaction during the game of peekaboo. They used the term scaffold to describe the interventions of the mother during the game. The second study that is generally credited with having introduced the term scaffolding in education is Wood, Bruner, and Ross (1976). Wood et al. used this word to describe the role of parents during problem-solving tasks carried out with their children. In its original usage, scaffolding referred to a form of just-in-time adult assistance “that enables a child or novice to solve a problem, carry out a task or achieve a goal which would be beyond his unassisted efforts” (Wood et al., 1976, p. 90). Wood et al. also identified several features of scaffolded adult help: recruitment of the child’s interest in the task, reduction in degrees of freedom, maintaining goal orientation, marking critical task features, controlling frustration, and modeling solutions to the task. Since its inception in 1976, either by Bruner and Sherwood or by Wood et al., scaffolding has gained widespread popularity in a variety of education-related fields.
Kirk's Current Veterinary Therapy XIII: Small Animal Practice

Section 1 Special Therapy Section 2 Critical Care Section 3 Toxicologic Disorders Section 4 Infectious Diseases Section 5 Endocrine and Metabolism Disorders Section 6 Hematology, Oncology, and Immunology Section 7 Dermatologic Diseases Section 8 Gastrointestinal Disorders Section 9 Cardiopulmonary Diseases Section 10 Urinary Disorders Section 11 Reproductive Disorders Section 12 Neurologic and Musculoskeletal Disorders Section 13 Ophthalmologic Diseases Section 14 Diseases of Birds and Exotic Pets Appendices
CHALLENGES OF TRANSCENDING BIM INFORMATION FROM DESIGN PHASE TO REAL TIME ON-SITE CONSTRUCTION PHASE

Building Information Modelling (BIM) is a revolutionary paradigm which espouses modernization and innovativeness to the conventional Architecture, Engineering, Construction and Operations (AECO) industry. Successful BIM model is enriched with information which was congregated during design phase and such information should be circulated throughout the project life cycle without disturbing its originality. Nevertheless, when the complete BIM information is transferred to the site office, the on-site personnel are not absorbing the real essence of effective BIM information for on-site construction activities. Improvements in Mobile Computing Technology (MCT) have succeeded in linking this communication gap through forms of electronic pocketbooks, personnel laptops and Personal Digital Assistants (PDA). Even though, there is a greater push from technology, site personnel are not willing to accept it and they still prefer the traditional procedure. This discloses that site personnel are not prepared to practice such technologies due to their nature of Resistance to Change (RTC). Subsequently, the aim of the research is to identify the challenges of transcending BIM information from design phase to real time on-site construction phase. To accomplish the aim, a qualitative research approach was followed, steering semi-structured interviews. The gathered information was analysed rigorously through computer based content analysis. This topical study manifest that, all the recognized resisting factors extensively challenge the transcending of BIM information to the on-site construction phase. Hence, the research has successfully identified the challenges which barricade the transcending of BIM information to real time on-site construction phase.
GENERALIZED M/G/c/c STATE DEPENDENT QUEUEING NETWORK ANALYSIS

We describe a methodology for analysis of state-dependent M/G/c/c queueing networks in which the service rate is subject to congestion, that is, is a function of the number of customers in the system. Important performance measurements are easily computed, such as the blocking probability, the throughput, the expected number of customers in the system (known as work-in-process), and expected waiting time. The methodology forms a basic building block useful in many practical applications and contexts. Preliminary computational results demonstrate that the methodology provides accurate results in many topological configurations. Keywords— Queueing, Finite Capacity, State Dependent.
How to Match Tracks of Visual Features for Automotive Long-Term SLAM

Accurate localization is a vital prerequisite for future assistance or autonomous driving functions in intelligent vehicles. To achieve the required localization accuracy and availability, long-term visual SLAM algorithms like LLama-SLAM are a promising option. In such algorithms visual feature tracks, i. e. landmark observations over several consecutive image frames, have to be matched to feature tracks recorded days, weeks or months earlier. This leads to a more challenging matching problem than in short-term visual localization and known descriptor matching methods cannot be applied directly. In this paper, we devise several approaches to compare and match feature tracks and evaluate their performance on a long-term data set. With the proposed descriptor combination and masking ("CoMa") method the best track matching performance is achieved with minor computational cost. This method creates a single combined descriptor for each feature track and furthermore increases the robustness by capturing the appearance variations of this track in a descriptor mask.
A Computational Model for Estimating the Difficulty of Chess Problems

In educational setting, it is often desirable to anticipate how difficult a given problem will be for a student. Assessing difficulty is also very difficult for human experts. It is an open question how to assess the difficulty automatically. In this paper, we present experiments with a computational approach to estimating the difficulty for humans of combinatorial problems such as chess. The approach is based on heuristic search by a computer to solve a given problem. Importantly, this search mimics human’s problem solving taking into account the human’s domain-specific knowledge. In this paper, we investigate this approach in assessing the difficulty for humans of chess tactical problems. In the experiments, we used chess tactical problems supplemented with statistic-based difficulty ratings obtained from the Chess Tempo website. We assumed these ratings as true difficulties. A “meaningful” search tree was generated by computer game tree search which attempted to emulate human’s problem solving. Automatic detectors of difficulty were then induced with machine learning techniques from properties of meaningful trees. In the experiments, a number of selected chess problems were classified into difficulty classes by human experts and by our automatic detector of difficulty. The accuracy of classifications by computer models compare favorably with the accuracy of human experts.
3D computational architectures and applications

3D offers a new approach to meet the challenges faced by today's integrated circuits (IC) and information technology (IT). A 3D-ROM uses a 3D physical structure to extend the Moore's Law and is now in mass production. As an extension of the 3D-ROM, a 3D computation device (3D-COM) uses a 3D computer architecture to satisfy the critical requirements for high-performance computing (HPC) tasks ranging from artificial intelligence to super-computing.
What is the most effective way to get a product into a tendon

Quality and quantity of evidence Articles were screened based on their abstracts to include those with evidence relating to the delivery of products to tendon lesions and their persistence in the lesion after treatment; evidence evaluating the effects of treatment was discarded. Review articles were included if they evaluated methods of product delivery. Despite the large number of articles initially retrieved only 5 experimental studies were evaluated. All of the studies involved low numbers of animals and variable methodology (method of cell labelling and detection, model of tendinopathy, duration of monitoring) making direct comparison difficult. Becerra et al. (2013) evaluated the distribution of labelled autologous mesenchymal stromal cells (MSC) for 24 h after intravenous injection, intralesional injection and intravenous regional limb perfusion (IVRLP) in 13 horses with naturally occurring tendinopathy/desmopathy in the metacarpal region. Intralesional injection, IVRLP and intra-articular regional limb perfusion (IARLP) was similarly evaluated by Sole et al. (2013) in a surgically induced model of superficial digital flexor tendonitis in 6 horses. Migration and persistence of MSC post intralesional implantation has been studied using labelling with nanoparticles (Carvalho et al. 2014) and fluorescent proteins (Guest et al. 2010) in experimentally induced SDFT lesions. Fluorescent proteins were also used by Lacitignola et al. (2014) to monitor the fate of MSC in a fibrin scaffold after intralesional injection in an ovine model of collagenase induced tendonitis in a blinded controlled trial. Specific recommendations regarding the methodology of intralesional injection are limited to level V or VI evidence (Schnabel et al. 2013). Despite the large amount of evidence evaluating the effects of tendon therapy, studies relating to optimal product delivery and persistence within the lesion are limited. While these have the potential to provide high quality level IV evidence the low numbers and/or study design limit their ability to influence clinical practice.
A Comparison of the In‰uences of Soy- vs. Wheat-based Supplements on Weight Loss in Middle-aged Subjects

1Department of Health and Nutrition, Human and Environmental Studies, Kanto Gakuin University, 1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-8503, Japan yoko@kanto-gakuin.ac. jp 2Graduate School of Comprehensive Human Sciences, Doctoral Program of Sports Medicine, University of Tsukuba, 1-1-1 Tennohdai, Tsukuba-shi, Ibaraki, 305-0006, Japan 3Tsukuba Wellness Research Co., Ltd, D6-8 Kenkyu-gakuen, Tsukuba-shi, Ibaraki, 305-0817, Japan 4Saga Nutraceuticals Research Institute, Otsuka Pharmaceutical Co., Ltd, 5006-5 Ohmagari-Higashiyama, Yoshinogari-cho, Kanzaki-gun, Saga, 842-0195, Japan [Received January 13, 2012; Accepted January 24, 2013; Published online February 13, 2013]
A Novel DC-DC Boost Converter Based on Voltage-Lift Technique

Nowadays, DC-DC converters are widely used. These types of power electronic converters are controlled using pulse width modulation (PWM) and switching frequency. Different topologies of converters are introduced to improve the efficiency. Here a new structure of non-isolated boost DC-DC converters based on voltage-lift (VL) technique is explained. This converter is designed with less number of components. In comparison with conventional non-isolated boost DC-DC converters, the defined converter generates higher voltage gain. The voltage and current waveforms of all elements in continuous conduction mode (CCM) are observed. Then, the critical inductance and stress of switch current are extracted. Switching pulse is generated using PIC16F877A. The validity of all the theories is examined experimentally. The prototype of the hardware is implemented and output voltage of 35V is observed with an input voltage of 5V. Keywords— DC-DC Converter, Continuous Conduction, Critical inductance, Voltage Lift
Explanation Based Why Question Answering System

The research aims to develop an automatic Why Question Answering system on community web-boards for supporting ordinary people in preliminary diagnosis problems such as plant disease problems. The research contains two main problems, how to identify the Why question and how to determine the answer of the Why question where all Why questions of the research are based on explanation. Therefore, the Maximum Entropy classifier was proposed to identify the Why question. The research applies the causality graph for determining the visualized answers based on the information retrieval technique. The experiment shows the Why Question Answering system of the research can achieve answers at Rank 1 with 90% correctness.
An Effective Survivable Routing Strategy for MANET

Mobile Ad Hoc Network (MANET) is a centerless packet radio network without the use of any fixed infrastructure. In recent years, tremendous attentions have been received because of capabilities of self-configuration and self-maintenance especially in public safe and disaster recovery situations. However, attenuation and interference caused by node mobility and wireless channels sharing weaken the stability of communication links, which makes routing protocol design present nontrivial challenges such as broadcast storm, stale route and delay. The negative impact of link-discontinuity on communication is alleviated by an effective survivable routing strategy (SRS) proposed in this paper. SRS is achieved by restricting the route request (RREQ) zone on intermediate forwarding nodes according to the solution of optimal exploring equations. With the purpose of increasing survivability and reducing average end-to-end delay during route maintenance as well as allowing continuous packet forwarding for fault resilience, Network Simulator 2 (NS2) based simulation results show remarkable packets successful delivery rate and the total overhead improvements of this strategy will be obtained.
Factors Affecting Bulblet Growth of Lilium sp. – A Timeline for Bulblet to Bulb Production Via in Vitro vs Conventional Pathway

Lily–belong to the genus Lilium is one of the top cut flowers worldwide. Production and propagation of bulblets in vitro is an important approach for high-volume production, but not proved satisfactory. Hence, the aim of this study was to describe and compare the performances of morphological characteristics of the lily bulb in vivo produced by in vitro and conventional culture method and compare the production timelines in vitro vs conventional culture method. In results, it seems clear that in vitro re-culture of lily bulblet was able to be sustained and maintained its growth and so, ontogenic development after their performance in soil. Our results demonstrate that in the conventional pathway, the course of bulblet growth to bulb and ontogenic development took 3–4 growing seasons to reach the adult flowering phase. On the other hand, along with the re-culture in vitro, the course of bulb growth and ontogenic development took 1–2 growing seasons to reach the adult flowering phase because of the increasing initial bulb size and advancement of ontogenic development. Other than bulblet production through bulb scale explant, this study represents the first report on the method of in vitro bulb production of lily through re-culture by in vitro pathway with a comparison of the timelines and ontogenic development obtained from in vitro versus conventional pathway.
Dose Rate Definition in Brachytherapy

Brachytherapy (BRT) is defined as treatment from a short distance. The word is derived from the word “brachy” that means “short” in Greek. Treatment in BRT is performed by placing the radioactive source in or near the tumor tissue. According to the report 38 of the International Commission on Radiation Units and Measurements (ICRU 38), BRT is divided into three types according to the activity of the radioactive source. Low-dose rate (LDR) implants deliver dose at the rate of 0.4–2 Gy/h, requiring treatment times of 24–144 h. LDR BRT has extensive experience with well-known efficacy and side effects. Medium-dose rate (MDR) BRT, defined as the 2–12 Gy/h range, is rarely used. High-dose rate (HDR) BRT uses dose rates in excess of 0.2 Gy/min (12 Gy/h). Although not defined in ICRU 38, there is also a very-low dose (ultra LDR: ultra-low dose rate (ULDR)) BRT of 0.01–0.3 Gy/h. Pulse dose rate (PDR) BRT is a new BRT concept that is also not defined in ICRU 38. PDR BRT combines physical advantages of HDR BRT technology with the radiobiological advantages of LDR BRT. Each dose rate in the clinic has its advantages and disadvantages. It is difficult to compare the efficacy of dose rates in the clinic because of the lack of prospective randomized studies comparing the defined dose rates with each other. In this review, we aimed to explain the advantages, disadvantages, and common clinical sites of use of different dose rates.
Counting decompositions of additive polynomials via invariant subspaces

The functional (de)composition of polynomials is a topic in pure and computer algebra with many applications. The structure of decompositions of (suitably normalized) polynomials f = g ◦ h in F [x] over a field F is well understood in many cases, but less well when the degree of f is divisible by the characteristic p of F . This work investigates the decomposition of r-additive polynomials, where every exponent and also the field size is a power of r, which itself is a power of p.
A Gender Specific Educational Pilot Program to Improve Women's Awareness About Heart Disease and Their Risk

Cardiovascular disease is the number one killer of women in the U.S. While public health campaigns have made great progress improving women's awareness of heart disease as the leading cause of death, most women do not understand the magnitude of cardiovascular risks. Some women are not aware that heart disease is the greatest threat to their health and to the health of their loved ones (Thanavaro, Moore, Anthony, Narsavage, & Delicath, 2006). Women continue to have longer delays in seeking medical treatment and have a higher mortality/morbidity rate when compared to men. Disparities also continue to persist among racial/ethnic and lower socio-economic groups {Christian, Rosamond, White, & Mosca, 2007). The purpose of this pilot educational program was to increase women's knowledge and awareness about heart disease, its risk factors, and personal risk by empowering them with the knowledge to choose healthier lifestyles for themselves and their family. The program targeted women over the age of eighteen and the accessible population for this health promotion program was the female staff at an ass.isted living community located in Northern Rhode Island and their guest. The program consisted of four educational interventions delivered once a week for four weeks. While attending all sessions was encouraged, it was not mandatory. Although attendance was small, the results from pre and post tests demonstrated that a small, nurse led intervention led to dramatic improvement in knowledge level of all participants. The Advanced Practice Public Health Nurse {APPHN) plays a key role in the fight against CVD. As diabetes, obesity, and life expectancy continue to rise, a competent workforce will be needed to educate and promote the cardiac health of the population. As specialists in community health nursing, APPHN's practice in a variety of settings and are uniquely positioned to have a wide range of influence, making them a key force in meeting this challenge. Table of
A double-iterative learning and cross-coupling control design for high-precision motion control

In multi-axis motion control systems, the tracking errors of single axis load and the contour errors caused by the mismatch of dynamic characteristics between the moving axes will affect the accuracy of the motion control system. To solve this issue, a biaxial motion control strategy based on double-iterative learning and cross-coupling control is proposed. The proposed control method improves the accuracy of the motion control system by improving individual axis tracking performance and contour tracking performance. On this basis, a rapid control prototype (RCP) is designed, and the experiment is verified by the hardware and software platforms, LabVIEW and Compact RIO. The whole design shows enhancement in the precision of the motion control of the multiaxis system. The performance in individual axis tracking and contour tracking is greatly improved.