Miracle-dz/UniFAR-FTUs huggingface dataset:
AN ANALYSIS OF DIFFERENCE IN FEMALES AND MALES ATTITUDE TOWARDS ECO-FRIENDLY PRACTICES AT HOME

Background: Eco-friendly behavior, sometimes referred to as green behavior or eco-behavior, is the idea that people, groups, and communities should make decisions and take activities to reduce their environmental effect and advance ecological sustainability. Ecological behavior is essential for maintaining biodiversity, protecting ecosystems, and conserving natural resources. The current study focuses on the environmentally conscious actions that Bhopal city’s men and women take at home. Objective: The objective of the study was to examine the attitude of men and women towards eco friendly habits at home. Methodology: The present research is quantitative, in nature. The study was conducted in the Bhopal city. Convenience sampling was used for the collection of the data. Respondents were asked closed-ended questions on 5-point Likert scale related to their demographic profile and their attitude towards eco friendly practices at home. 270 responses from162 male and 108 were female respondents aged more than 18 years was collected. Descriptive statistics was adopted to get the results of present research. Results: In order of importance male showcased importance for saving water (84%), switch the light off when leaving a room (76.5%), use of energy efficient light bulbs (76.5%) and turn AC off in unoccupied rooms (75.3%) are the top four eco-friendly practices. For female switching the light off when leaving a room (90.7%), saving water (83.3%), turning AC off in unoccupied rooms (81.5%) and turning heat off in unoccupied rooms (79.6%) were the top four eco-friendly practices followed at their homes. Conclusion: Saving water, switching the light off when leaving a room, using of energy efficient light bulbs and turning AC off in unoccupied rooms were the top four eco-friendly practices which are mostly practiced by males at their homes. For female switching the light off when leaving a room, saving water, Turning AC off in unoccupied rooms and Turning heat off in unoccupied rooms were the top four eco-friendly practices.
Factors influencing UV transmittance in chemically-enhanced primary treatment effluents

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Idententify dynamic features of Chinese stock markets by component-GARCH-jump model

This paper adopts a fusion model to investigate whether there are three distinctive dynamic features in Chinese stock market, that is, permanent volatility, transitory volatility and jumps. These three features are captured in the component-GARCH-jump model we proposed in the research. The empirical result shows 90 jumps are indentified by the model between 1999 and 2011. The permanent part of the volatility is a relatively smooth movement except in the early stage of the market. The transitory volatility highly resembles the total volatility. The jumps and volatility do not coincide too much which mean the model divide them efficiently. The analysis also depicts the instability of the market's early stage, the prosperity in 2007 and the following international financial crisis around 2008.
A near-lossless data hiding method with an improved quantizer

This paper proposes a method for near-lossless data hiding (DH). A DH method distorts an image to embed data in the image, and the method extracts the hidden data from the distorted image. The proposed method also recovers an image from the distorted image where a pixel in the recovered image differs from that in the original by not more than a pre-specified value, i.e., near-lossless. First in the proposed method, an image is quantized by an improved nonuniform quantizer to prepare room for DH. Then, the histogram-based lossless DH technique conceals data to the quantized image. The proposed method is superior to the conventional near-lossless DH method in terms of the amount of the hidden message, whereas both methods use the same pre-specified value. Moreover, the proposed method also improves the quality of the recovered image in some conditions.
Um Panorama acerca da Mineração de Dados Educacionais no Brasil

Educational Data Mining (EDM) is an interdisciplinary field that uses data generated by educational environments in search of relevant informations to the education improvement. This work presents a Systematic Mapping Study (SMS) about the brazilian scenario, using the repository from Especial Comission of Informatics in Education, in relation to EDM. One of the mapping result indicates a high level of data exploration from undergraduate and a lack of basic education data exploration. Resumo. A Mineração de Dados Educacionais (MDE) é uma área interdisciplinar que utiliza dados gerados por ambientes educacionais na busca de informações relevantes ao aprimoramento do ensino. Sendo assim, este trabalho apresenta um Mapeamento Sistemático da Literatura (MSL) sobre o cenário brasileiro, utilizando o repositório da Comissão Especial de Informática na Educação, com relação a MDE. Um dos resultados do mapeamento aponta um alto índice de exploração de dados oriundos da graduação em relação a análise dos dados da educação básica. 1. Introdução A educação, a exemplo de outras áreas, sofreu grandes transformações com o advento tecnológico. O ensino tem recebido cada vez mais o suporte de Ambientes Virtuais de Aprendizagem (AVAs) e recursos computacionais para aprimoramento. Além disso, há o crescente uso da modalidade de Ensino a Distância (EaD), que possui forte dependência de sistemas de gestão da aprendizagem (i.e., Moodle1). Todo este uso computacional na educação vem gerando uma grande quantidade de dados que podem servir como matériaprima para pesquisa, visando uma constante melhoria na qualidade do ensino. Uma área que tem como principal objetivo o desenvolvimento de métodos para explorar dados oriundos de ambientes educacionais é conhecida como Mineração de Dados Educacionais (MDE) [Baker et al. 2011]. A MDE explora estatística, aprendizado de máquina e algoritmos de mineração de dados aplicados a diferentes tipos de dados de ensino e permite descobrir novos conhecimentos, de modo a estabelecer bases para um processo
Parallel monotonicity reconstruction

We investigate the problem of monotonicity reconstruction, as defined in [3], in a parallel setting. We have oracle access to a nonnegative real-valued function <i>f</i> defined on domain [<i>n</i>]<sup><i>d</i></sup> = {1,…,<i>n</i>}<sup><i>d</i></sup>. We would like to closely approximate <i>f</i> by a monotone function <i>g. </i> This should be done by a procedure (a <i>filter</i>) that given as input a point x ∈ [<i>n</i>]<sup><i>d</i></sup> outputs the value of <i>g</i>(<i>x</i>), and runs in time that is highly sublinear in <i>n. </i> The procedure can (indeed must) be randomized, but we require that all of the randomness be specified in advance by a single short random seed. We construct such an implementation where the the time and space per query is (log <i>n</i>)<sup><i>O</i>(1)</sup> and the size of the seed is polynomial in log <i>n</i> and <i>d. </i> Furthermore the distance of the approximating function <i>g</i> from <i>f</i> is at most a constant multiple of the minimum distance of any monotone function from <i>f. </i> This implementation allows for parallelization: one can initialize many copies of the filter with the same short random seed, and they can autonomously handle queries, while producing outputs that are consistent with the same approximating function <i>g. </i>
Precocious puberty

Puberty is the process of maturation that occurs during adolescence and includes acquisition of secondary sexual characteristics, rapid bone maturation, and acceleration of growth. Precocious puberty is commonly defined as puberty that starts before age 8 in girls and 9 in boys. Most cases of precocious puberty in girls are idiopathic and the benefits of early identification and treatment are subject to much debate. 3 Precocious puberty in boys is less common, but proportionally much more likely to have a serious cause. This Practice Pointer, aimed at non-specialists such as general practitioners, outlines the epidemiology of precocious puberty and describes features that warrant urgent referral or investigation. The article briefly considers the possible benefits of treatment versus the risks of over-medicalisation of idiopathic precocious puberty in girls, in cases where pathological causes are less likely. How common is precocious puberty?
Full-scale performance assessment of an innovative climate system for a classroom environment.

The indoor environmental quality (IEQ) of buildings affects health, productivity and wellbeing of its occupants. Simultaneously, energy consumption remains an issue of concern. IEQ in school buildings is critical, due to the high occupant density and influence of IEQ on student academic performance. In this research, the performance of an innovative system, combining ventilation and floor cooling/heating, is investigated through full-scale measurements in a mock-up and in a real classroom. Ventilation efficiency is assessed using the step-down tracer gas method. Thermal comfort focuses on local (non-uniform) thermal discomfort as this is most critical in a densely populated classroom. With increasing flow rates, the ventilation efficiency assessment shows a transition from displacement ventilation to mixing ventilation, and therefore reduced efficiency. Additionally, high flow rates can cause draught problems near supply grilles.
Prediction based - High Frequency Trading on Financial Time Series

In this paper we investigate prediction based trading on financial time series assuming general AR(J) models. A suitable nonlinear estimator for predicting the future values will be provided by a properly trained FeedForward Neural Network (FFNN) which can capture the characteristics of the conditional expected value. In this way, one can implement a simple trading strategy based on the predicted future value of the asset price and comparing it to the current value. The method is tested on FOREX data series and achieved a considerable profit on the mid price. In the presence of the bid-ask spread, the gain is smaller but it still ranges in the interval 2-6 percent in 6 months without using any leverage. FFNNs can provide fast prediction which can give rise to high frequency trading on intraday data series.
Pattern Recognition

This paper gives a comprehensive study on gait biometrics via a joint CNN-based method. Gait is a kind of behavioral biometric feature with unique advantages, e.g., long-distance, cross-view and non-cooperative perception and analysis. In this paper, the deﬁnition of gait analysis includes gait recognition and gait-based soft biometrics such as gender and age prediction. We propose to investigate these two problems in a joint CNN-based framework which has been seldom reported in the recent literature. The proposed method is eﬃcient in terms of training time, testing time and storage. We achieve the state-of-the-art performance on several gait recognition and soft biometrics benchmarks. Also, we discuss which part of the human body is important and informative for a speciﬁc task by network visualization.
Brief announcement: full reversal routing as a linear dynamical system

Although substantial analysis has been done on the Full Reversal (FR) routing algorithm since its introduction by Gafni and Bertsekas in 1981, a complete understanding of its functioning---especially its time complexity---has been missing until now. In this paper, we derive the first exact formula for the time complexity of FR: given any (acyclic) graph the formula provides the exact time complexity of any node in terms of some simple properties of the graph. Our major technical insight is to describe executions of FR as a dynamical system, and to observe that this system is linear in the min-plus algebra. As a consequence of the insight provided by the new formula, we are able to prove that FR is time-efficient when executed on tree networks. This result exposes an unstable aspect of the time complexity of FR that has not previously been reported. Finally, our results for FR are instrumental in providing an exact formula for the time complexity of a generalization of FR, as we show in a companion paper that the generalization can be reduced to FR.
Bmc Complementary and Alternative Medicine Ginger Extract Inhibits Lps Induced Macrophage Activation and Function

Background: Macrophages play a dual role in host defence. They act as the first line of defence by mounting an inflammatory response to antigen exposure and also act as antigen presenting cells and initiate the adaptive immune response. They are also the primary infiltrating cells at the site of inflammation. Inhibition of macrophage activation is one of the possible approaches towards modulating inflammation. Both conventional and alternative approaches are being studied in this regard. Ginger, an herbal product with broad anti inflammatory actions, is used as an alternative medicine in a number of inflammatory conditions like rheumatic disorders. In the present study we examined the effect of ginger extract on macrophage activation in the presence of LPS stimulation.
An External Quality Supporting Test- Driven Development of Web Service Choreographies

Recently, software development teams using agile processes have started widely adopting test-driven development. Despite its name, ―test driven‖ or ―test first‖ development isn’t really a testing technique. Also known as test-driven design, TDD works like this: For each small bit of functionality the programmers code, they first write unit tests. Then they write the code that makes those unit tests pass. This forces the programmer to think about many aspects of the feature before coding it. It also provides a safety net of tests that the programmers can run with each update to the code, ensuring that refactored, updated, or new code doesn’t break existing functionality. TDD can also extend beyond the unit or ―developer facing‖ test. Many teams, including my own, use ―customer facing‖ or ―story‖ tests to help drive coding. These tests and examples, written in a form understandable to both business and technical teams, illustrate requirements and business rules. Customer-facing tests might include functional, system, end-to-end, performance, security, and usability tests. Programmers write code to make these tests pass, which shows the product owners and stakeholders that the delivered code meets their expectations. The results indicate that, in general, TDD has a small positive effect on quality but little to no discernible effect on productivity. However, subgroup analysis has found both the quality improvement and the productivity drop to be much larger in industrial studies in comparison with academic studies. A larger drop of productivity was found in studies where the difference in test effort between the TDD and the control group’s process was significant. A larger improvement in quality was also found in the academic studies when the difference in test effort is substantial; however, no conclusion could be derived regarding the industrial studies due to the lack of data. Finally, the influence of developer experience and task size as moderator variables was investigated, and a statistically significant positive correlation was found between task size and the magnitude of the improvement in quality. Choreographies have been proposed as decentralized and scalable solutions for composing web services. Nevertheless, inherent characteristics of SOA such as dynamicity, scale, and governance issues make the automated testing of choreographies difficult. Nevertheless, inherent characteristics of SOA such as dynamicity, scale, and governance issues make the automated testing of choreographies difficult. The goal of our research is to adapt the automated testing techniques used by the Agile Software Development community to the SOA context. To achieve that, we aim to develop software tools and a methodology to enable TestDriven Development (TDD) of web service choreographies.
An experimental study on the short-channel effects in undergated polysilicon thin-film transistors with and without lightly doped drain structures

Short-channel effects are studied for undergated polysilicon thin-film transistors (TFTs). Although a simple lightly doped drain (LDD) structure can minimize the effects, a much longer LDD region is required than in a bulk transistor. In addition to significant effects similar to bulk transistors, the leakage current is more affected by variations of the channel length and drain bias than it is in a bulk transistor due to the granular structures of the polysilicon films and the enhanced junction field in the fully depleted structure. As results, variations of the ON current, OFF current, and their ratio are dramatic without the LDD structure. <<ETX>>
AdS/CFT Approach to Melvin Field Deformed Wilson Loop

We first apply the transformation of mixing azimuthal and internal coordinate to the 11D M-theory with a stack N M2-branes to find the spacetime of a stack of N D2-branes with Melvin one-form in 10D IIA string theory, after the Kaluza-Klein reduction. Next, we apply the Melvin twist to the spacetime and perform the T duality to obtain the background of a stack of N D3-branes. In the near-horizon limit the background becomes the Melvin field deformed $AdS_5 \times S^5$ with NS-NS B field. In the AdS/CFT correspondence it describes a non-commutative gauge theory with non-constant non-commutativity in the Melvin field deformed spacetime. We study the Wilson loop therein by investigating the classical Nambu-Goto action of the corresponding string configuration and find that, contrast to that in the undeformed spacetime, the string could be localized near the boundary. Our result shows that while the geometry could only modify the Coulomb type potential in IR there presents a minimum distance between the quarks. We argue that the mechanism behind producing a minimum distance is coming from geometry of the Melvin field deformed background and is not coming from the space non-commutativity.
Genotypic and Phenotypic Characterization of HIV-1 Isolates Obtained From Patients on Rilpivirine Therapy Experiencing Virologic Failure in the Phase 3 ECHO and THRIVE Studies: 48-Week Analysis

AbstractGenotypic and phenotypic characterization was performed of HIV-1 isolates from treatment-naive HIV-1–infected patients experiencing virologic failure (VF) during treatment with the nonnucleoside reverse transcriptase inhibitor (NNRTIs) rilpivirine or efavirenz in the pooled phase 3 studies ECHO and THRIVE. Among 686 patients receiving rilpivirine, 72 (10%) experienced VF versus 39 of 682 (6%) receiving efavirenz. In patients with low baseline viral load (VL) ⩽100,000 copies per milliliter, the proportions of rilpivirine VFs (19 of 368) and efavirenz VFs (16 of 330) were the same (5%). In patients with high baseline VL >100,000 copies per milliliter, the proportion of VFs was higher with rilpivirine (53 of 318; 17%) than efavirenz (23 of 352; 7%). The rate of rilpivirine VF was comparable between HIV-1 subtype B–infected (11%) and nonsubtype B–infected (8%) patients. The absolute number of VFs with treatment-emergent NNRTI resistance-associated mutations (RAMs) was higher for rilpivirine (most commonly E138K or K101E) than efavirenz (most commonly K103N), but relative proportions were similar [63% (39 of 62) vs. 54% (15 of 28), respectively]. More rilpivirine VFs had treatment-emergent nucleoside/nucleotide reverse transcriptase inhibitor RAMs than efavirenz VFs [68% (42 of 62) versus 32% (9 of 28), respectively], most commonly M184I and M184V. The proportion of rilpivirine VFs with RAMs in patients with low baseline VL was lower than in those with high baseline VL [38% (6 of 16) versus 72% (33 of 46) for NNRTI RAMs and 44% (7 of 16) versus 76% (35 of 46) for nucleoside/nucleotide reverse transcriptase inhibitor RAMs, respectively]. In summary, VF and treatment-emergent reverse transcriptase RAMs were similar at low baseline VL but more frequent at high baseline VL in rilpivirine-treated than in efavirenz-treated patients. The frequent emergence of E138K, especially in combination with M184I, in rilpivirine VFs is a unique finding of these trials.
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security

– The growing number of breaches in data centers underscores an urgent need for more effective security. Traditional perimeter defense measures and static zero-trust approaches are unable to address the unique challenges that arise from the scale, complexity, and evolving nature of today’s data center networks. To tackle these issues, we introduce NetVigil , a robust and cost-efficient anomaly detection system specifically designed for east-west traffic within data center networks. NetVigil adeptly extracts security-focused, graph-based features from network flow logs and employs domain-specific graph neural networks (GNNs) and contrastive learning techniques to strengthen its resilience against normal traffic variations and adversarial evasion strategies. Our evaluation, over various attack scenarios and traces from real-world production clusters, shows that NetVigil delivers significant improvements in accuracy, cost, and detection latency compared to state-of-the-art anomaly detection systems, providing a practical, supplementary security mechanism to protect the east-west traffic within data center networks.