Miracle-dz/UniFAR-FTUs huggingface dataset:
A Label Embedding Projective and Incremental Dictionary Learning Regression Method for COD Detection

Spectral analysis technology is widely used in the detection of chemical oxygen demand (COD) and other water quality parameters. The general practice is to use historical spectral data to build a detection model. However, the high dimension of the spectral data may cause important information to be obscured, resulting in the “dimensional curse” and affecting the accuracy of the detection model. At the same time, the variation of the components of the measured water body can cause the mismatch of the detection model and seriously affect the detection accuracy. To address these issues, we propose a label embedding projective and incremental dictionary learning regression method (LEPIDLR) for COD detection. First, using the spectral data of COD target substances to construct a graph model with embedded label information. Projective dimensionality reduction matrix, dictionary and regressor are jointly learned to optimize the feature input space, extract the optimal detection features, and establish a baseline model for COD detection. Second, based on the baseline model, a small amount of actual water sample spectral data is used to solve the model mismatch problem by combining the dictionary structure incoherence constraint and incremental learning to separate detection features and irrelevant interference features. Finally, the experiments demonstrates the effectiveness of the proposed method in improving the accuracy of COD detection.
Globally Convergent Stochastic Optimization for Canonical Correlation Analysis

We study the stochastic optimization of canonical correlation analysis (CCA), whose objective is nonconvex and does not decouple over training samples. Although several stochastic optimization algorithms have been recently proposed to solve this problem, no global convergence guarantee was provided by any of them. Based on the alternating least squares formulation of CCA, we propose a globally convergent stochastic algorithm, which solves the resulting least squares problems approximately to sufficient accuracy with state-of-the-art stochastic gradient methods for convex optimization. We provide the overall time complexity of our algorithm which significantly improves upon that of previous work. Experimental results demonstrate the superior performance of our algorithm.
High temperature electrical transport properties of nanophasic Ba 1-XSbXMnO 3

Nano-phasic Ba1-XSbXMnO3 have been synthesised through sol-gel citrate route. The XRD pattern has been found to be having some brown millerite phase along with pervoskite due to doping induced anti-site effect. The dependence of electrical transport at high temperatures have been studied employing thermal activation model, variable range hopping (VRH) and small polaron hopping model (SPH) to account for the experimental observation due to disorder induced localisation. The VRH parameters To, α throw light on the nature of grain boundary formation to achieve high MR in manganite. Decrease of To, with concentration and temperature is related to disorder in the lattice, which in turn connected to the conduction process across the grain boundaries. Higher activation energy of SPH is linked to increased barrier height for polaron hopping which arises out of mismatch of ionic radii of Ba to Sb is due to doping induced structural disorder ().
Formalizing Psychological Knowledge in Answer Set Programming

In the field of psychology, a considerable amount of knowledge is expressed using only natural language, which complicates accurate studies and comparisons. We believe that Answer Set Programming (ASP) can be used successfully for the formalization of psychological knowledge. To demonstrate the viability of ASP for this task, in this paper we develop an ASP-based formalization of the mechanics of Short-Term Memory, and show how it correctly reproduces the observed behavior of human subjects.
Preparing pre-service teachers for the profession: creating spaces for transformative practice

Within professional learning communities, the processes of shared reflection and critique, or critical transformative dialogues are considered crucial for the maintenance and improvement of professional practice. This paper focuses on the development of the processes of critical transformative dialogues and their application in the professional development of pre-service teachers. Participants reported a growing understanding of the importance of a continuing critical dialogue, and an appreciation of the value that critical feedback has in developing professional skills. The paper argues for the value of providing spaces for early engagement in the processes of critical transformative dialogue as part of professional preparation. A cumulative model of transformative practice for supporting pre-service teachers’ emerging schema for teaching is proposed.
Short‐Term Performance Effects of High Power, High Force, or Combined Weight‐Training Methods

Some controversy exists concerning the “transfer of training effect” from different methods of resistance-training programs to various athletic performance variables. The purpose of this study was to examine the effects of 3 different resistance-training methods on a variety of performance variables representing different portions of the force velocity curve, ranging from high force to high speed movements. Forty-two previously trained men (1 repetition maximum [RM] squat kg per kg body mass ≥ 1.4) served as subjects. After a 4-week high-volume training period and the pretests, the subjects were randomly assigned to 1 of 3 groups. The groups were high force (HF; n = 13), high power (HP; n = 16), and a combination training group (COM; n = 13); each group trained 4 d·wk−1 for 9 weeks. Group HF trained using 80–85% of their 1RM values. Group HP trained at relative intensities approximating 30% of peak isometric force. Group COM used a combination training protocol. Variables measured pre-and posttraining were the 1RM parallel squat, 1RM 1/4 squat, 1RM midthigh pull, vertical jump (VJ), vertical jump power, Margaria-Kalamen power test (MK), 30-m sprint, 10-yd shuttle run (10-yd), and standing long jump (SLJ). Data were analyzed within groups with t-tests, and the between-group analysis used a group χ trials analysis of variance test. The HF group improved significantly in 4 variables (p ≤ 0.05 for squat, 1/4 squat, midthigh pull, MK), the HP group in 5 variables (p ≤ 0.05 for 1/4 squat, midthigh pull, VJ, MK, SLJ), and the COM group in 7 variables (p ≤ 0.05 for squat, 1/4 squat, midthigh pull, VJ, VJP, 10-yd). These results indicate that when considering the improvement of a wide variety of athletic performance variables requiring strength, power, and speed, combination training produces superior results.
Faculty Development for Teacher Educators

Arends, Murphy and Christensen de scribe a long-range staff development project for teacher educators. Spon sored by the Maryland State Depart ment of Education and in cooperation with five higher education institutions, the project aimed at using research to improve teacher education. Over a two- year period, 28 higher education faculty participated in the project that included a series of research dissemination semi nars and two residential staff develop ment workshops. Significant questions pertaining to the staff development of teacher educators are raised in the paper and insights about the nature of teach ing teacher educators are provided.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BELI ULANG PRODUK SERTA DAMPAKNYA TERHADAP LOYALITAS PELANGGAN (STUDI KASUS PADA PRODUK SAKATONIK LIVER DI KOTA SEMARANG)

ABSTRACT The moving of business paradigm which is full of competition, the company is required to be always creative and innovative to get survive. So, in developing products, the company must have a qualified product, price leadership, and placed the position of the product in the market through promotion. The research data is found through questionnaire from 140 respondents. Then the data got is analyzed using Structural Equation Modeling (SEM) analysis technique. To do this analysis technique, there are seven steps that should be done, namely extended model on the basic of theory, extended plot diagram, plot diagram conversion into the equality, the choosing of input matrix and estimation technique, scoring identification of problem, evaluate criteria goodness of fit and interpretation and modification of model. The suitable full model result got using SEM analysis technique are Chi Square = 146.876, probability = 0.122, RMSEA = 0.033, GFI = 0.903, AGFI = 0.870, CMIN/DF = 1.147, TLI = 0.981, CFI = 0.984. And the hypothesis tested is known that the product quality influenced toward repeat buying intention, promotion intensity influenced toward repeat buying intention, perceived price influenced toward repeat buying intention, and repeat buying intention influenced toward customer loyalty. Based on the research result, there are some managerial implications which can be used as a review. To increase the repeat buying intention can be done by doing promotion through arranged frequention, place and show time. Key words : product quality; promotion intensity; perceived price; repeat buying intention.
Content based texture image retrieval based on modified dominant directional local binary pattern

In this paper, a variation in the Local Binary Pattern (LBP) called Modified Dominant Directional LBP (MDDLBP) is proposed. In this method, the direction of the feature with respect to its central pixel in the LBP is preserved by comparing the neighborhood of the pixel in the four dominant directions such as horizontal, vertical, diagonal and anti diagonal. This method captures complete structure information of the texture in the image and also the dimensionality of the feature vector is minimized. The performance of the proposed method is evaluated with two texture datasets namely (i) Brodatz and (ii) VisTex and is compared with state of the art methods using Canberra distance. The proposed method yields better results when compared with other methods.
The antecedents of satisfaction and revisit intentions for full-service restaurants

Purpose – The purpose of this paper is to identify the antecedents of satisfaction and revisit intentions for full-service restaurants. The economic crisis is known to have had a deep impact on consumer behavior with regards to restaurants and this study is primarily focussed on exploring the effects on the traditional antecedents of satisfaction and revisit intentions as full-time restaurants attempt to reposition their offer. Design/methodology/approach – The study involved 218 respondents who were guests of full-service restaurants. In terms of statistical analyses, confirmative factor analysis was used to test the suitability of the proposed model for measuring satisfaction and revisit intentions, while structural equation modeling was employed to analyze the relationship among variables of the conceptualized model. Findings – The results confirmed the significant impact of atmosphere and quality of interaction on guest satisfaction. It was interesting to notice that perceived price has no statistical.
Use of Nurses in Tele-Consultation for Patients in Remote Areas

UNLABELLED There is poor penetration of trauma healthcare delivery in rural areas. On the other hand, mobile penetration in India is now averaging 80% with most families having access to mobile phone. AIMS AND OBJECTIVES The aim of this study was to evaluate the effectiveness of tele-consultation by nurses using an integrated call centre. MATERIALS AND METHODS This was a prospective observational study carried out over a 6-month period at a level I trauma Center in New Delhi, India. Patients called the call centre and the specially trained call centre staff answered the calls who handled their simple queries, if they were unable to respond, the call was directed to the nurse informatics specialist on duty responded to their queries with the help of senior residents who were posted in emergency department. The nurse informatics specialist documents a tele-consult note in CPRS (Computerized Patient Record System). RESULTS Of the total 150 calls, 64 calls were diverted to the nurse informatics specialist (NIS). Of the 64 calls received by the NIS 55 (85%) were rectified by the nurses at their level and 9 calls (14%) were further discussed with the concerned doctors. CONCLUSIONS As shown by our case study, call centers can be used for tele consultation with the help of nurse informatics specialist.
Associations of social phobia and general anxiety with alcohol and drug use in a community sample of adolescents.

AIMS This study explores whether associations between anxiety and alcohol and other substance use are already evident in middle adolescence, and whether general anxiety or symptoms of social phobia affect continuity of frequent alcohol use, frequent drunkenness and cannabis use. METHODS Data from the Adolescent Mental Health Cohort Study, a school-based Finnish survey among adolescents aged 15-16 years at baseline, was utilized to assess prevalence, incidence and continuity of symptoms of social phobia, general anxiety, frequent alcohol use, frequent drunkenness and cannabis use (which in this context was smoked 'hashish' of unknown constituency), and the associations between the substance use variables and the anxiety variables in 2-year follow-up. RESULTS Anxiety preceded substance use while no reciprocal associations were observed. Depression mediated the associations between anxiety and substance use. Symptoms of social phobia did not elevate the incidence of substance use, but general anxiety did. Frequent drunkenness was less significantly associated with anxiety than the other two substance use variables. Co-morbid general anxiety increased the persistence of frequent alcohol use while co-morbid social phobia decreased its persistence. Continuity of frequent drunkenness and cannabis use were unaffected by co-morbid anxiety. CONCLUSIONS General anxiety in middle adolescence places adolescents at risk for concurrent and subsequent substance use. The risk may, however, be associated with co-morbid depression. Social phobia in middle adolescence may protect from substance use. Adolescents with internalizing symptoms may need guidance in coping with the symptoms even if the symptoms do not fulfil the criteria of mood or anxiety disorder.
Compactness in the Euler-Lattice: A Parsimonious Pitch Spelling Model

Compactness and convexity have been shown to represent important principles in music, reflecting a notion of consonance in scales and chords, and have been successfully applied to well-known problems from music research. In this paper, the notion of compactness is applied to the problem of pitch spelling. Pitch spelling addresses the question of how to derive traditional score notation from 12-tone pitch classes or MIDI. This paper proposes a pitch spelling algorithm that is based on only one principle: compactness in the Euler-lattice. Generally, the goodness of a pitch spelling model is measured in terms of its spelling accuracy. In this paper, we concentrate on the parsimony, cognitive plausibility and generalizability of the model as well. The spelling accuracy of the algorithm was evaluated on the first book of Bach's Well-tempered Clavier and had a success rate of 99.21%. A qualitative discussion of the model's cognitive plausibility, its parsimony and its generalizability is given.
Using KL Divergence for Credibility Assessment

In reputation systems, agents collectively estimate the others' behaviours through feedbacks to decide with whom they can interact. To avoid manipulations, most reputation systems weight feedbacks with respect to the agents' reputation. However, these systems are sensitive to some strategic manipulations, like oscillating attacks or whitewashing. In this paper, we propose (1) a credibility measure of feedbacks based on the Kullback-Leibler divergence to detect malicious behaviours and (2) filtering functions to enhance already known reputation functions.
Distinguishing Marked Vs. Unmarked Sounds by Persian Children

The present study aimed at categorizing the two allophones (/v/ and /u/) of morpheme /و/ as marked and unmarked. To do so, thirty- two male students from an elementary school who have just passed the first grade were selected. They were all Persian speakers, learning Farsi as their first language. The elicitation instruments used for data collection was a list of words with /v/ or /u/ sounds with the single written form of /و/ in Persian to which the students have not yet come across (at least in their text books). The participants were required to read aloud the words on the list while their voice was being recorded by the researchers. The data collected were then transcribed based on IPA phonetic features and were analyzed by the descriptive statistics Chi Square to find the frequency with which /v/ or /u/ was pronounced. Results revealed that the difference between the expected and observed frequencies of participants’ pronouncing /و / letter as /v/ or /u/ is quite significant which depicts Persian children’s meaningful tendency towards pronouncing/و/ letter as /u/ rather than /v/. To double check the findings, the data was examined against a number of markedness descriptors. Finally, it was concluded that /u/ and /v/ were distinguished as unmarked and marked respectively.
Rotation-invariant texture retrieval with gaussianized steerable pyramids

This paper presents a novel rotation-invariant image retrieval scheme based on a transformation of the texture information via a steerable pyramid. First, we fit the distribution of the subband coefficients using a joint alpha-stable sub-Gaussian model to capture their non-Gaussian behavior. Then, we apply a normalization process in order to Gaussianize the coefficients. As a result, the feature extraction step consists of estimating the covariances between the normalized pyramid coefficients. The similarity between two distinct texture images is measured by minimizing a rotation-invariant version of the Kullback-Leibler Divergence between their corresponding multivariate Gaussian distributions, where the minimization is performed over a set of rotation angles
Power Quality Challenges in Integrated Distribution Generation and Scope of Intelligent Control Techniques

This paper gives an overview of challenges introduced due to the interconnection of distributed generators into the grid. It also discusses the control technique and scope of AI applications in the mitigation of power quality issues. Exhaustive discussion is carried out on the interconnection of DGs to the grid and power quality issues. It also discusses the different controllers and algorithms that are used to control the parameters of the distributed generation system. A detailed comparison of conventional controllers studied by authors that are used in distribution generation is also discussed. Similarly, the application of artificial intelligence and adaptive algorithm in distribution generation is also presented as per the points, Different connection methods of DG’s to the grid, the effect of distributed generation on power quality, the necessity of local voltage control of distribution generator, control methods and intelligent techniques.
The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant

It is common to summarize statistical comparisons by declarations of statistical significance or nonsignificance. Here we discuss one problem with such declarations, namely that changes in statistical significance are often not themselves statistically significant. By this, we are not merely making the commonplace observation that any particular threshold is arbitrary—for example, only a small change is required to move an estimate from a 5.1% significance level to 4.9%, thus moving it into statistical significance. Rather, we are pointing out that even large changes in significance levels can correspond to small, nonsignificant changes in the underlying quantities. The error we describe is conceptually different from other oft-cited problems—that statistical significance is not the same as practical importance, that dichotomization into significant and nonsignificant results encourages the dismissal of observed differences in favor of the usually less interesting null hypothesis of no difference, and that any particular threshold for declaring significance is arbitrary. We are troubled by all of these concerns and do not intend to minimize their importance. Rather, our goal is to bring attention to this additional error of interpretation. We illustrate with a theoretical example and two applied examples. The ubiquity of this statistical error leads us to suggest that students and practitioners be made more aware that the difference between “significant” and “not significant” is not itself statistically significant.
Exploring Agile Methodologies in Educational Software Development- A Comparative Analysis and Project Management Insights

In the realm of academic research, the task of determining the most suitable Software Development Life Cycle (SDLC) becomes complex, owing to the diverse project requirements, rapidly changing technology, team skills and experience, organizational culture and readiness, flexibility and adaptability needs, and decision-making complexity. It requires a thorough analysis of various factors to make a wise decision that aligns with the project's goals and constraints. A variety of models, including Waterfall, Prototyping, and Spiral, offer distinct sets of advantages and disadvantages. Agile modeling is a flexible and iterative software development strategy that emphasizes collaborative modeling and rapid feedback. The agile philosophy promotes transparency, effective communication, and embracing change to meet evolving project needs efficiently and effectively. An In-Depth Examination of Agile Methodologies versus Conventional Approaches gives a deeper understanding of their respective strengths, weaknesses, and applicability. Also as the educational institutes increasingly recognize the importance of providing industry-relevant skills and preparing students for dynamic work environments, agile methodologies are likely to play a vital role in shaping the future of education and fostering the success of students in their careers. In this paper, we have explored the practical application of well-established Agile methodologies including Scrum, Kanban, Lean, Extreme Programming (XP), Feature Driven Development, and Dynamic Systems Development Method (DSDM) within the context of educational institutions and project management.