Miracle-dz/UniFAR-FTUs huggingface dataset:
The Quality Imperative Review of school and inst effectiveness resear

generalizable knowledge situation-specific knowledge, learning from cases standardized achievement tests assessment; less circumscribed alternative procedures Bipolar comparisons such as the one in Table 1 run the risk of over simplification and polarization whilst also constructing "straw men". It should be emphasized that less extreme constructivist views can be very well reconciled with more "objectivist" approaches (cf. Merrill, 1991). Also, more eclectic approaches are feasible, as can be seen when more teacher-controlled and learner-controlled instructional situations are used alternately (cf. Boekaerts & Simons, 1993). Creemers (1996) considers the changed perspective on the role of the student as the essential difference between the newer, constructivist views on learning and instruction, and the older models: rather passive in the models originating from the Carroll model and active, picturing a student who conducts knowledge and skills through working with context, in the newer models. Brophy (1996) also points at a way to integrate the established principles of structured classroom management and self-regulated learning strategies. Elements of effective classroom management such as "preparation of the classroom as a physical environment suited to the nature of the planned academic activities, development and implementation of a workable set of housekeeping procedures and conduct rules, maintenance of student attention and participation in group lessons and activities, and monitoring of the quality of the students' engagement in assignments and of the progress they are making toward intended outcomes", are equally relevant when instruction is seen as helping students to become more autonomous and selfregulated learners (ibid, p. 3, 4).
Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

Interval forecast is an efficient method to quantify the uncertainties in renewable energy production. In this paper, the idea of prediction intervals (PIs) is employed to capture the uncertainty of wind power generation in power systems. The recurrent neural network (RNN) model is proposed to construct PIs with the lower upper bound estimation method, which is a powerful nonparametric forecast approach. In addition, a novel comprehensive cost function with a new PI evaluation index is designed with the purpose of enhancing the model training. To tune the parameters of RNN prediction model, the dragonfly algorithm with a linearly random weight update method is introduced as the optimization tool. The performance of the proposed prediction model is validated by a case study using a real world wind power dataset, and the comparative results show the superiority of the model.
An architecture to identify violence in video surveillance system using ViF and LBP

There are different varieties of Surveillance cameras used but it is still a challenge to detect violence. So the aim is to design a violence detection system which detects violence and generates an alert so that help will be available instantly. Researchers are prognosticating that the evolution of video surveillance technology will lead to a great demand for intelligent violence detection system. In coming years also, these technological advancement will continue by improving existing system and leads to generation of new methods and techniques for making better violence detection system. The proposed architecture includes mainly two steps: Object tracking and behavior understanding for detecting violence. By using feature extraction process key features (speed, direction, centroid and dimensions) are identified. These features help to track object in video frame. In our approach, we consider two feature vectors namely Violent Flows (ViF) and Local Binary Pattern (LBP) and then Linear SVM is used to classify video as violent or non-violent.
Generation Adequacy Evaluation Incorporating an Aggregated Probabilistic Model of Active Distribution Network Components and Features

This paper presents a generic methodology for assessing the generation adequacy of power systems incorporating an aggregated probabilistic model representing several active distribution network (ADN) components and features in the form of a virtual power plant (VPP). Randomly varying hourly outputs of individual ADN components like distributed energy resources and loads are combined with information about important distribution network features like topology and constraints to form the aggregated probabilistic model of the VPP using a linearized network flow-based optimization formulation proposed in this paper. The proposed formulation therefore facilitates the VPP’s modeling as a single equivalent ‘unit’ with respect to the transmission grid. This equivalent model is used together with new indices introduced for quantifying different aspects of the VPP’s performance. Impacts of changes in the total installed VPP generation capacity as well as the load forecast uncertainty on the VPP performance indices and the system reliability indices are also investigated. The overall proposed methodology is implemented on the Roy Billinton Test System and the IEEE 69-bus distribution network using Monte Carlo sequential simulation techniques, and results obtained are discussed in detail.
Architecture of the system of 1:10 scale autonomous car — Requirements-based design and implementation

This paper presents the architecture of the system of 1:10 scale autonomous car. It emphasizes how requirements-based approach was followed in project design phase not only to meet formal requirements of Carolo-Cup 2018 competition, but also to maximize vehicle performance. In competition events vehicles are supposed to operate in road-simulating environment, particularly to handle real-time navigation, static and dynamic obstacles avoiding, parking and following right of the road in intersections. In dynamic events quality of behavior and pace of performed actions are graded. Additional factors influencing final assessment are safety engineering, cost efficiency and knowledge management in team.
A mutation affecting polycystin-1 mediated heterotrimeric G-protein signaling causes PKD

Abstract Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the growth of renal cysts that ultimately destroy kidney function. Mutations in the PKD1 and PKD2 genes cause ADPKD. Their protein products, polycystin-1 (PC1) and polycystin-2 (PC2) have been proposed to form a calcium-permeable receptor-channel complex; however the mechanisms by which they function are almost completely unknown. Most mutations in PKD1 are truncating loss-of-function mutations or affect protein biogenesis, trafficking or stability and reveal very little about the intrinsic biochemical properties or cellular functions of PC1. An ADPKD patient mutation (L4132Δ or ΔL), resulting in a single amino acid deletion in a putative G-protein binding region of the PC1 C-terminal cytosolic tail, was found to significantly decrease PC1-stimulated, G-protein-dependent signaling in transient transfection assays. Pkd1ΔL/ΔL mice were embryo-lethal suggesting that ΔL is a functionally null mutation. Kidney-specific Pkd1ΔL/cond mice were born but developed severe, postnatal cystic disease. PC1ΔL protein expression levels and maturation were comparable to those of wild type PC1, and PC1ΔL protein showed cell surface localization. Expression of PC1ΔL and PC2 complexes in transfected CHO cells failed to support PC2 channel activity, suggesting that the role of PC1 is to activate G-protein signaling to regulate the PC1/PC2 calcium channel.
Preceding Research for Estimating the Maximal Fat Oxidation Point through Heart Rate and Heart Rate Variability

Increasing the oxidation of fat through exercise is the recommendable method for weight control. Preceding researches have proposed increase in the usage of fat during exercise in stabilized state and under maximum exertion through aerobic training. However, such researches require additional equipment for gas analysis in order to measure the caloric value or gas exchange of subjects during exercise. Such equipments become highly restrictive for those exercise and cause substantially higher cost. According to this, we have presented the method of estimating the maximal fat oxidation point through changes in LF & HF which reflects changes in heart rate and the autonomic nervous system in order to induce exercise for a less restrictive and efficient fat oxidation than existing methods. We have conducted exercise stress test on subject with similar exercise abilities, and have detected the changes in heart rate and changes in LF & HF by measuring changes in fat oxidation and measuring ECG signals at the same time through a gas analyzer. Changes in heart rate and HRV of the subjects during exercising was detected through only the electrocardiographic signals from exercising and detected the point of maximum fat oxidation that differs from person to person. The experiment was carried out 16 healthy males, and used Modified Bruce Protocol, which is one of the methods of exercise stress test methods that use treadmill. The fat oxidation amount during exercise of all the subjects showed fat oxidation of more than 4Fkcal/min in the exercise intensity from about 5 minutes to 10 minutes. The correlation between the maximal fat oxidation point obtained through gas analysis and the point when 60% starts to be relevant in the range from -0.01 to 0.01 seconds for values of R-R interval from changes in heart rate had correlation coefficients of 0.855 in Kendall’s method and in Spearman’s rho, it showed significant results of it being p<0.01 with 0.950, respectively. Furthermore, in the changes in LF & HF, we have determined the point where the normalized area value starts to become the same as the maximal fat oxidation point, and the correlation here showed 0.620 in Kendall and 0.780 in Spearma of which both showed significant results as p＜0.01.
The Impact of Agile Approach on Software Engineering Teams

Problem statement: This study presents the initial findings on the impact of agile approach amongst Software Engineering (SE) teams in one computer center in Malaysia. This study revealed that agile approach able to receive positive feedbacks and increase positive affectivity amongst team members during software development projects. Approach: This study used action research approach. Data were collected from four Software Engineering (SE) teams who volunteered to participate in this study through a series of interviews, short-term observations and a questionnaire. Positive Affect scale from Positive Affect and Negative Affect Schedule (PANAS) questionnaire was used to measure the developers’ state of positive affect during two intervals. Results: These findings found that not agile-XP practices adopted by the developers. This is due to knowledge barriers and organizational culture. However, agile approach induced level of positive affectivity amongst the members during software development process. In addition, agile approach promotes the members to be more active in coordinating and collaborating amongst teams. Conclusion: The findings in this study give an insight towards applying a flexible agile approach to accommodate and suit organizational culture. Effective methodology and organizational culture are important factors that must be considered to produce innovative teams and quality software.
Ice extraction from wind turbine using flow of hot air through blade

In this paper high the ice accumulated on the wind turbine blade is removed by passing hot air through the blade. The hollow tubes are embedded in the wind turbine blades. The hollow tubes may be circular on cross section or of any suitable shape. The air is heated by an electrical heating or by gas geyser. First the air is compressed with help of a compressor. Then that air is passed through the electric heater or gas heater. The hot air is then passed through the wind turbine blade. When the hot air is passéd through the wind turbine blade, the ice melts and falls down. Hot air is passed through the wind turbine blade after frequent intervals of time when the environmental conditions are favorable for icing. The process of deicing is fast.
Predicting the Ideal Patient for Ambulatory Cleft Lip Repair

Background: The utilization of ambulatory surgical centers (ASCs) for cleft lip repair is increasing to reduce costs. This study better defines the patient population appropriate for ambulatory cleft repair with uplift modeling, a predictive analytics technique. Methods: Pediatric patients who underwent cleft lip repair were identified in the 2007 to 2011 California Healthcare Cost and Utilization Project State Inpatient Database and State Ambulatory Surgery and Services Database. The 2-model uplift approach was utilized using multivariate logistic regressions fit to assess the effect of ASCs, age, comorbidities, and procedure type on mortality or 30-day readmission. Results: Of the pediatric cleft lip repairs in California between 2007 and 2011, 2383 (83%) were conducted in inpatient facilities and 498 (17%) in ASCs. The 30-day readmission rates were 2.01% and 1.93% for ASC repairs and inpatient repairs, respectively (P = .909). Uplift modeling predicts that of the 2881 patients, approximately 40% of patients would have benefit from an ASC repair and an ASC repair would have had no effect on the remaining 60%. Patients likely to benefit from an ASC repair were more likely younger than 1 year old, nonsyndromic, not to have a respiratory or neurologic diagnosis, have less number of procedures, and to have undergone an isolated cleft lip repair. Conclusion: Uplift modeling predicts that approximately 40% of patients would benefit from an ASC cleft lip repair. Targeting patients younger than 1 year old, nonsyndromic, with no respiratory or neurologic diagnosis for ASC cleft lip repair, may be a safe and cost-saving endeavor.
A Superimposed Current Based Unit Protection Scheme for DC Microgrid

With enhanced processing capacity and communication infrastructure available in smart grid platform, unit protection scheme is a promising technique. High resistance fault is a problem with current differential and current direction based unit protection solutions. In this letter, a protection scheme capable of fast fault detection and reliable selectivity for DC microgrid is proposed. The method uses superimposed currents of both ends of a line segment presented on $\Delta i$ -plane during fault to derive protection decision. Using PSCAD/EMTDC simulations, performance of the proposed method is evaluated, compared and found to be accurate.
TAMRA-polypyrrole for A/T sequence visualization on DNA molecules

Abstract Fluorophore-linked, sequence-specific DNA binding reagents can visualize sequence information on a large DNA molecule. In this paper, we synthesized newly designed TAMRA-linked polypyrrole to visualize adenine and thymine base pairs. A fluorescent image of the stained DNA molecule generates an intensity profile based on A/T frequency, revealing a characteristic sequence composition pattern. Computer-aided comparison of this intensity pattern with the genome sequence allowed us to determine the DNA sequence on a visualized DNA molecule from possible intensity profile pattern candidates for a given genome. Moreover, TAMRA-polypyrrole offers robust advantages for single DNA molecule detection: no fluorophore-mediated photocleavage and no structural deformation, since it exhibits a sequence-specific pattern alone without the use of intercalating dyes such as YOYO-1. Accordingly, we were able to identify genomic DNA fragments from Escherichia coli cells by aligning them to the genomic A/T frequency map based on TAMRA-polypyrrole-generated intensity profiles. Furthermore, we showed band and interband patterns of polytene chromosomal DNA stained with TAMRA-polypyrrole because it prefers to bind AT base pairs.
Long-term adjustment among Israeli war veterans: the role of attachment style

This study examines the role of attachment in the long-term adjustment of Israeli veterans. The sample of participants comprised three groups of Israeli veterans who fought in the 1973 Yom Kippur War: 112 combat stress reaction (CSR) casualties, 98 veterans who received medals for bravery, and 189 controls. The CSR casualties reported higher levels of emotional distress than did participants in the two other groups. CSR veterans also showed the lowest levels of secure attachment characteristics. Additionally, the findings revealed different relationships between the avoidant style of attachment and emotional distress measures across the research groups. The implications of these findings are discussed according to two theoretical models of attachment.
AN EXPLORATORY STUDY ON PROBLEMATIC INTERNET USE PREDICTORS : WHICH ROLE FOR ATTACHMENT AND DISSOCIATION ?

Objective: Problematic Internet use (PIU) and its relation to psychopathology is an emergent but disputed issue in literature. In the current study, we explored the relationship between psychiatric symptoms, dissociative processes, adult attachment styles and PIU. Method: A community sample of 261 adults completed self-report questionnaires assessing Internet addiction symptoms (Internet Addiction Test – IAT), psychiatric symptoms (Symptom Checklist-90 Revised, SCL-90-R), dissociation (Dissociative Experiences Scale-II, DES-II), and adult attachment styles (Relationship Questionnaire, RQ). Socio-demographic data were also collected. Linear and logistic regression analyses were performed to explore the role of the hypothesized predictors on PIU. Results: Attachment styles did not predict PIU, which was predicted instead by male gender, dissociative experiences and depressive symptoms. Conclusions: Adult attachment styles may be not sufficent in explaining PIU when psychiatric symptoms and dissociative processes are taken into account. This is in line with previous research suggesting that negative affectivity and dissociation are more strictly related to the development and maintenance of the condition, especially among males.
Time efficient privacy-preserving multi-keyword ranked search over encrypted cloud data

Now days for protecting data privacy, sensitive data have to be encrypted before outsourcing, which helps in data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is very important. Data owners are motivated to outsource their data management systems from local sites to the commercial public cloud for great flexibility and economic savings. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. In this paper, we define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing. Among various multi-keyword semantics, we choose the efficient similarity measure of coordinate matching, i.e., as many matches as possible, to capture the relevance of data documents to the search query. We further use inner product similarity to quantitatively evaluate such similarity measure. We first propose a basic idea for the MRSE based on secure inner product computation to efficiently achieve multi-keyword ranked search and then give two significantly improved MRSE schemes to achieve various privacy requirements.
Design of a stacked microstrip patch antenna for X-band communication

A small size microstrip stacked patch antenna along with a slot in ground plane, fed through microstrip inset feeding for X band applications is being proposed in this paper. Two substrates, FR4 and Rogers RT/duroid 5880 with a dielectric constant of 4.4 and 2.2 respectively with a gap of 1.5mm are introduced. Overall substrate dimension is 35mm × 30mm × 1.6mm. The simulated results show that the bandwidth obtained is 9.42–11.54GHz with a gain of 7.62 dB. Throughout this entire region, the proposed antenna provides S11 < −10 dB. The antenna which is proposed in the paper, is further presented and discussed in detail.
Performance analysis of power differential based transmission line protection

This paper deals with investigation of novel fault detection for the protection of transmission line. Conceptually the difference of the average quantities for phase active power entering and leaving the lines are compared Computation of these quantities is carried out via simulating a tie line connecting two power system networks using MATLAB. The sensitivity of the proposed detector for internal fault and stability for external fault are observed for wide range of fault resistance. The test result shows remarkable stability during external faults and also depicts distinguished performance of the proposed power differential concept in detecting internal faults.
A Novel Class of Cationic and Non-Peptidic Small Molecules as Hits for the Development of Antimicrobial Agents

Cationic and non-peptide small molecules containing a total of six positive charges arranged on one side and a long aliphatic tail on the other have been synthesized and tested against Gram-positive and Gram-negative bacteria. The positive charges have been contributed by two aminophenol residues. These molecules have showed remarkable antimicrobial activity against Gram-positive bacteria including multidrug-resistant strains. Our structure–activity relationship studies demonstrated the importance of the length and flexibility of the hydrophobic tail for the antimicrobial activity. Importantly, these compounds are non-toxic to eukaryotic cells at the concentration affecting growth in bacteria, reflecting an acceptable margin of safety. The small size and easy synthetic accessibility of our molecules can be of interest for the further development of novel antimicrobials against Gram-positive bacterial pathogens, including multidrug-resistant strains.
Vision-based UAV detection and tracking using motion signatures

This paper proposes a method for UAV detection and position extraction in video sequences obtained from a camera facing upwards towards the sky. The goal is for the presented model to act as groundwork for the development of a cooperative UAV autonomous landing system. It seeks to overcome most of the downfalls of pattern-based approaches by instead using the UAV's innate motion behaviours to perform detection. Seeing that the sky is a fairly stagnant environment, objects are detected through a Background Subtraction algorithm. As clouds generally present a slow and progressive movement they are to be considered part of the background and all other objects (e.g planes, birds, UAVs) as foreground. The irregular motion patterns of the UAV, especially of its propellers, are used to create a movement signature that distinguishes the UAV from other objects. The signature is classified as an entropy metric obtained from the resulting optical flow over a number of past frames. To further improve the detection rate, a tracking algorithm based on a Kalman filter was developed. Experimental results obtained from a dataset encompassing 12 diverse videos showed the ability of the computer vision algorithm to perform the tracking of the UAV with an average performance of 93.4%.