Miracle-dz/UniFAR-FTUs huggingface dataset:
Overview of a Function-Based Approach to Behavior Support Within Schools

While the majority of students in schools tend to respond to effective general academic instruction and proactive schoolwide discipline systems, some continue to exhibit intense and chronic problem behaviors, even in the best schools. For these students, schools are highly variable in their ability and capacity to provide accurate and durable specialized academic and behavioral supports. In these schools, frequent requests are made for assistance to address the specialized needs of these students. The intent of this article is twofold: (a) to provide an overview of the features that characterize a function-based approach to student support, and (b) to introduce the main articles within this special issue, which offer a variety of perspectives and practices related to function-based support at the classroom, school, and district level.
Inhibition of p53-mediated transactivation by E6 of type 1, but not type 5, 8, or 47, human papillomavirus of cutaneous origin

Transient transfection experiments indicated (i) that E6 protein of non-cancer-associated cutaneous human papillomavirus type 1 (HPV-1) can inhibit p53-mediated transcriptional transactivation in both p53-deficient human cells (H358) and normal rat cells (3Y1), but those of cancer-associated cutaneous HPV-5, -8, and -47 cannot do so in either H358 or 3Y1 cells, and (ii) that E6 proteins of HPV-16 and -18 can inhibit the p53 function in H358 cells but not in 3Y1 cells.
Security analysis and improvement to digital library RFID protocol

Recently, along with the widespread use of various mobile devices in e-commerce, a variety of RFID systems are integrated in mobile devices. Poorly designed security RFID systems will bring a great security risks. This paper reviews the existing RFID system security mechanism and focuses on the digital library RFID security protocol. Security assumptions are changed in the new application environment, leading to a new attack on the original agreement. A security protocol with the mutual authentication function is designed on the basis of the original protocol. The new protocol is compatible with the original protocol, but against new attacks. Formal analysis shows that the new protocol is in accordance with established safety goals.
Efficient Hamiltonian reconstruction from equilibrium states

We describe a novel algorithm that recovers the Hamiltonian and temperature of a quantum state in thermal equilibrium using a restricted set of measurements. The algorithm works by imposing a semidefinite constraint based on free energy minimization, which we interpret in terms of thermodynamic stability. We benchmark the algorithm on the problem of learning a nearest-neighbour Hamiltonian on a 100-qubit spin chain.
Localization of a phytohormone using immunocytochemistry

The localization of cytokinins in corn root tips was investigated using antibodies or antibody fragments directed against dihydrozeatin riboside and labeled with rhodamine or colloidal gold. Roots were sectioned at -30 degrees to -40 degrees for immunofluorescence or freeze-substituted in ethanol or acetone and embedded in plastic for electron microscopy. Meristematic cells surrounding the quiescent center as well as root cap cells were specifically labeled using direct immunofluorescence techniques, whereas cells of the quiescent center did not bind label. Tissue sections treated with colloidal gold-labeled antibody fragments had gold particles widely distributed in the cytoplasm. The results show that the quiescent center is not the major site of cytokinin localization in root tips.
Venous thrombosis in children

Summary. Venous thromboembolic (VTE) events are being increasingly diagnosed in systemic and cerebral vessels in children. Systemic VTE are increasing in children as a result of therapeutic advances and improved clinical acumen in primary illnesses that previously caused mortality. The epidemiology of systemic VTE has been studied in international registries. In children older than 3 months, teenagers are the largest group developing VTE. The most common etiologic factor is the presence of central venous lines. Clinical studies have determined the most sensitive diagnostic method for diagnosing upper system VTE are ultrasound for jugular venous thrombosis and venography for intrathoracic vessels. However, the most sensitive diagnostic methods for lower system VTE and pulmonary embolism (PE) have not been established. Treatment studies for VTE consist of inadequately powered randomized controlled trials or prospective cohort studies. The long‐term outcome of systemic VTE, post‐thrombotic syndrome, has been reported in children. Cerebral sinovenous thrombosis (CSVT) is becoming increasingly diagnosed in children due to the recognition of the associated subtle clinical symptoms and improved cerebrovascular imaging. The etiology of CSVT includes thrombophilia, head and neck infections, and systemic illness. Estimates of the incidence and outcome of childhood CSVT have recently become available through the Canadian Pediatric Ischaemic Stroke Registry. Clinical studies have not yet been carried out in children to determine the best method of diagnosis or treatment. There have only been case‐series studies carried out in the treatment of CSVT. Properly designed clinical trials are urgently required in children with systemic VTE/PE and CSVT to define the best methods of diagnosis, treatment and long‐term management.
Effects of running, static stretching and practice jumps on explosive force production and jumping performance.

AIM The interaction between running, stretching and practice jumps during warm-up for jumping tests has not been investigated. The purpose of the present study was to compare the effects of running, static stretching of the leg extensors and practice jumps on explosive force production and jumping performance. METHODS Sixteen volunteers (13 male and 3 female) participated in five different warm-ups in a randomised order prior to the performance of two jumping tests. The warm-ups were control, 4 min run, static stretch, run + stretch, and run + stretch + practice jumps. After a 2 min rest, a concentric jump and a drop jump were performed, which yielded 6 variables expressing fast force production and jumping performance of the leg extensor muscles (concentric jump height, peak force, rate of force developed, drop jump height, contact time and height/time). RESULTS Generally the stretching warm-up produced the lowest values and the run or run + stretch + jumps warm-ups produced the highest values of explosive force production. There were no significant differences (p<0.05) between the control and run + stretch warm-ups, whereas the run yielded significantly better scores than the run + stretch warm-up for drop jump height (3.2%), concentric jump height (3.4%) and peak concentric force (2.7%) and rate of force developed (15.4%). CONCLUSION The results indicated that submaximum running and practice jumps had a positive effect whereas static stretching had a negative influence on explosive force and jumping performance. It was suggested that an alternative for static stretching should be considered in warm-ups prior to power activities.
AIR-HLoc: Adaptive Image Retrieval for Efficient Visual Localisation

State-of-the-art (SOTA) hierarchical localisation pipelines (HLoc) rely on image retrieval (IR) techniques to establish 2D-3D correspondences by selecting the $k$ most similar images from a reference image database for a given query image. Although higher values of $k$ enhance localisation robustness, the computational cost for feature matching increases linearly with $k$. In this paper, we observe that queries that are the most similar to images in the database result in a higher proportion of feature matches and, thus, more accurate positioning. Thus, a small number of images is sufficient for queries very similar to images in the reference database. We then propose a novel approach, AIR-HLoc, which divides query images into different localisation difficulty levels based on their similarity to the reference image database. We consider an image with high similarity to the reference image as an easy query and an image with low similarity as a hard query. Easy queries show a limited improvement in accuracy when increasing $k$. Conversely, higher values of $k$ significantly improve accuracy for hard queries. Given the limited improvement in accuracy when increasing $k$ for easy queries and the significant improvement for hard queries, we adapt the value of $k$ to the query's difficulty level. Therefore, AIR-HLoc optimizes processing time by adaptively assigning different values of $k$ based on the similarity between the query and reference images without losing accuracy. Our extensive experiments on the Cambridge Landmarks, 7Scenes, and Aachen Day-Night-v1.1 datasets demonstrate our algorithm's efficacy, reducing 30\%, 26\%, and 11\% in computational overhead while maintaining SOTA accuracy compared to HLoc with fixed image retrieval.
Humanitarian demining: Efficiency by intelligent planning and low- cost robotics

The robot mine clearing, based on cheap and widespread farming contrivances, provides considerably unusual prospects, which aim at enhancing safety, reliability and efficiency, to transform the terrorist anti-personnel mine into almost useless practice. The talk develops along the following lines: • to conceive and implement low-cost robotic equipment, assuring effective, safe and reliable demining: the resources (facilities, functions, fixtures) choice lets devising worthy strategies; • to help out equipment integration, with resort to cheap and widely available (agricultural) fixtures: the on-process adaptive workcycles lead to better tactical concert; • to provide the modelling and simulation background for the on-duty assessment and training assistance: the alarm (warning, emergency) management brings to efficiency and safety; • to make easier the operators groundwork, involved in self-learning and up-grading duties: the mixed-mode automation grants balanced resources use on the strategic, tactical and execution horizons.
Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders

Recent work suggests that some auto-encoder variants do a good job of capturing the local manifold structure of the unknown data generating density. This paper contributes to the mathematical understanding of this phenomenon and helps define better justified sampling algorithms for deep learning based on auto-encoder variants. We consider an MCMC where each step samples from a Gaussian whose mean and covariance matrix depend on the previous state, defines through its asymptotic distribution a target density. First, we show that good choices (in the sense of consistency) for these mean and covariance functions are the local expected value and local covariance under that target density. Then we show that an auto-encoder with a contractive penalty captures estimators of these local moments in its reconstruction function and its Jacobian. A contribution of this work is thus a novel alternative to maximum-likelihood density estimation, which we call local moment matching. It also justifies a recently proposed sampling algorithm for the Contractive Auto-Encoder and extends it to the Denoising Auto-Encoder.
Improving Web search using image snippets

The Web has become the largest information repository in the world; thus, effectively and efficiently searching the Web becomes a key challenge. Interactive Web search divides the search process into several rounds, and for each round the search engine interacts with the user for more knowledge of the user's information requirement. Previous research mainly uses the text information on Web pages, while little attention is paid to other modalities. This article shows that Web search performance can be significantly improved if imagery is considered in interactive Web search. Compared with text, imagery has its own advantage: the time for “reading” an image is as little as that for reading one or two words, while the information brought by an image is as much as that conveyed by a whole passage of text. In order to exploit the advantages of imagery, a novel interactive Web search framework is proposed, where image snippets are first extracted from Web pages and then provided, along with the text snippets, to the user for result presentation and relevance feedback, as well as being presented alone to the user for image suggestion. User studies show that it is more convenient for the user to identify the Web pages he or she expects and to reformulate the initial query. Further experiments demonstrate the promise of introducing multimodal techniques into the proposed interactive Web search framework.
Sustained effects of integrated COPD management on health status and exercise capacity in primary care patients

Background: Chronic obstructive pulmonary disease (COPD) constitutes a growing health care problem worldwide. Integrated disease management (IDM) of mild to moderate COPD patients has been demonstrated to improve exercise capacity and health status after one year, but long-term results are currently lacking in primary care. Methods: Long-term data from the Bocholtz study, a controlled clinical trial comparing the effects of IDM versus usual care on health status in 106 primary care COPD patients during 24 months of follow-up, were analyzed using the Clinical COPD Questionnaire (CCQ). In addition, the Kroonluchter IDM implementation program has treated 216 primary care patients with mild to moderate COPD since 2006. Longitudinal six-minute walking distance (6MWD) results for patients reaching 24 months of follow-up were analyzed using paired-sample t-tests. In prespecified subgroup analyses, the differential effects of baseline CCQ score, Medical Research Council (MRC) dyspnea score, and 6MWD were investigated. Results: In the Bocholtz study, subjects were of mean age 64 years, with an average postbronchodilator forced expiratory volume in one second (FEV1) of 63% predicted and an FEV1/forced vital capacity (FVC) ratio of 0.56. No significant differences existed between groups at baseline. CCQ improved significantly and in a clinically relevant manner by 0.4 points over 24 months; effect sizes were doubled in patients with CCQ > 1 at baseline and tripled in patients with MRC dyspnea score >2. In the Kroonluchter cohort, 56 subjects completed follow-up, were of mean age 69 years, with an FEV1/FVC ratio of 0.59, while their postbronchodilator FEV1 of 65% predicted was somewhat lower than in the total group. 6MWD improved significantly and in a clinically relevant manner up to 93 m at 12 months and was sustained at 83 m over 24 months; this effect occurred faster in patients with MRC dyspnea score >2. In patients with baseline 6MWD < 400 m the improvement remained >100 m at 24 months. Conclusion: In this study, IDM improved and sustained health status and exercise capacity in primary care COPD patients during two years of follow-up. Improvements in health status are consistently higher in patients with CCQ > 1 at baseline, being strongest in patients with baseline MRC dyspnea score >2. Improvements in exercise capacity remain highest in patients with 6MWD < 400 m at baseline and seem to occur earlier in patients with MRC dyspnea score >2.
Two Experiments on Learning Probabilistic Dependency Grammars from Corpora

We present a scheme for learning probabilistic dependency grammars from positive training examples plus constraints on rules. In particular, we present the results of two experiments. The first, in which the constraints were minimal, was unsuccessful. The second, with significant constraints, was successful within the bounds of the task we had set.
Feature extraction for SAR target recognition based on supervised manifold learning

On the basis of manifold learning theory, a new feature extraction method for Synthetic aperture radar (SAR) target recognition is proposed. First, the proposed algorithm estimates the within-class and between-class local neighbourhood surrounding each SAR sample. After computing the local tangent space for each neighbourhood, the proposed algorithm seeks for the optimal projecting matrix by preserving the local within-class property and simultaneously maximizing the local between-class separability. The use of uncorrelated constraint can also enhance the discriminating power of the optimal projecting matrix. Finally, the nearest neighbour classifier is applied to recognize SAR targets in the projected feature subspace. Experimental results on MSTAR datasets demonstrate that the proposed method can provide a higher recognition rate than traditional feature extraction algorithms in SAR target recognition.
The relationship of safe and participatory school environments and supportive attitudes toward violence: Evidence from the Colombian Saber test of Citizenship Competencies

In Colombia, reducing levels of interpersonal and community violence is a key component of the country’s approach to citizenship education. In this study, we use data collected during the 2005 Saber test of Citizenship Competencies to examine the relationship of school environments and individual students’ supportive attitudes toward violence among 97,971 students in 1649 schools. Using multi-level Tobit analysis with school random intercepts and regional fixed effects, we find that children taught in safe and participatory climates endorse attitudes less supportive of violence, with the effect of participatory climates almost double that of safe climates. Constructing a typology of four classroom environments, by crossing the two dimensions of safety and participation, we conclude that school environments that are safe and participatory lead to the least supportive attitudes toward violence, more than 1 standard deviation lower than unsafe and non-participatory school environments. Implications, limitations, and areas for future research are discussed.
An efficient hybrid approach using differential evolution and practical swarm optimization

Evolutionary is a study of immense curiosity to several researchers. Numerous fresh algorithmic rules are being developed on the natural processes in environment. Various form of the ρ resent algorithmic rules are also being evolved and the most advantageous method is being investigated. In this ρaper a concise opening to Practicalswarm Optimization (PSO) and a preface to differential evolution. Further, a explanation on the hybrid algorithm evolved with DE and PSO is e stablished and the consequent outcomes under procedure are also declared.
Making sense of self-reported socially significant data using computational methods

The growing number of people using social media to communicate with their peers and document their personal everyday feelings and views is creating a ‘data on an epic scale’ that provides the opportunity for social scientists to conduct research such as ethnography, discourse and content analysis of social interactions, providing an additional insight into today’s society. However, the tools and methods required to conduct such analysis are often isolated and/or proprietary. The Cardiff Online Social Media Observatory (COSMOS) provides an integrated virtual research environment for supporting the collection, analysis, and visualization of social media data, providing researchers with an innovative facility on which to conduct hypothetical experiments that lead to defensible results. This study presents a methodology for Digital Social Research and explains how the features of COSMOS aim to underpin it.
Between theory and practice: comparative study of early music performances

Examination of the mode of performance of central musical parameters was carried out through comparative analysis of a selection of recorded performances of Baroque compositions, made by prominent 'historically informed' and 'main stream' performers of different periods. Analysis of the manner of execution of pitch, intonation, tempo, rhythmic interpretation and ornamentation was aimed at exploring performance conventions, canonic authorities and the degree of compliance to scholarly findings and directives made in regards to these parameters. Results suggest the existence of ruling conventional practices and fixed prototypes of interpretations. Comparison between the 'historically informed' group of performers and their 'main stream' colleagues has shown clear similarity in many of the analyzed parameters, suggesting the existence of mutual influences and shared canonic authorities. Different degrees of compliance have been additionally found between scholarly directives and performances made in 'real' practice: despite some exceptions traced in various cases, findings have shown inclination towards 'traditional' positions stated by earlier scholars while later, critical attitudes did not find their way to general practice.
pmx: Automated protein structure and topology generation for alchemical perturbations

Computational protein design requires methods to accurately estimate free energy changes in protein stability or binding upon an amino acid mutation. From the different approaches available, molecular dynamics‐based alchemical free energy calculations are unique in their accuracy and solid theoretical basis. The challenge in using these methods lies in the need to generate hybrid structures and topologies representing two physical states of a system. A custom made hybrid topology may prove useful for a particular mutation of interest, however, a high throughput mutation analysis calls for a more general approach. In this work, we present an automated procedure to generate hybrid structures and topologies for the amino acid mutations in all commonly used force fields. The described software is compatible with the Gromacs simulation package. The mutation libraries are readily supported for five force fields, namely Amber99SB, Amber99SB*‐ILDN, OPLS‐AA/L, Charmm22*, and Charmm36. © 2014 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc.
Preference-Based Planning in Stochastic Environments: From Partially-Ordered Temporal Goals to Most Preferred Policies

Human preferences are not always represented via complete linear orders: It is natural to employ partially-ordered preferences for expressing incomparable outcomes. In this work, we consider decision-making and probabilistic planning in stochastic systems modeled as Markov decision processes (MDPs), given a partially ordered preference over a set of temporally extended goals. Specifically, each temporally extended goal is expressed using a formula in Linear Temporal Logic on Finite Traces (LTL$_f$). To plan with the partially ordered preference, we introduce order theory to map a preference over temporal goals to a preference over policies for the MDP. Accordingly, a most preferred policy under a stochastic ordering induces a stochastic nondominated probability distribution over the finite paths in the MDP. To synthesize a most preferred policy, our technical approach includes two key steps. In the first step, we develop a procedure to transform a partially ordered preference over temporal goals into a computational model, called preference automaton, which is a semi-automaton with a partial order over acceptance conditions. In the second step, we prove that finding a most preferred policy is equivalent to computing a Pareto-optimal policy in a multi-objective MDP that is constructed from the original MDP, the preference automaton, and the chosen stochastic ordering relation. Throughout the paper, we employ running examples to illustrate the proposed preference specification and solution approaches. We demonstrate the efficacy of our algorithm using these examples, providing detailed analysis, and then discuss several potential future directions.