Miracle-dz/UniFAR-FTUs huggingface dataset:
Ptlbmalloc2: Reducing TLB Shootdowns with High Memory Efficiency

The cost of TLB consistency is steadily increasing as we evolve towards ever more parallel and consolidated systems. In many cases the application memory allocator is responsible for much of this cost. Existing allocators to our knowledge universally address this issue by sacrificing memory efficiency. This paper shows that such trade-offs are not necessary by presenting a novel memory allocator that exhibits both excellent memory efficiency and (TLB) scalability: ptlbmalloc2. First, we show that TLB consistency is becoming a major scalability bottleneck on modern systems. Next, we describe why existing memory allocators are unsatisfactory regarding this issue. Finally, we present and evaluate ptlbmalloc2, which has been implemeted as a library on top of glibc. Ptlbmalloc2 outperforms glibc by up to 70% in terms of cycles and execution time with a negligible impact on memory efficiency for real-world workloads. These results provide a strong incentive to rethink memory allocator scalability in the current era of many-core NUMA systems and cloud computing.
A Variational Inequality Approach for One Dimensional Stefan Problem

In this paper, we develop a numerical method to solve a famous free boundary PDE called the one dimensional Stefan problem. First, we rewrite the PDE as a variational inequality problem (VIP). Using the linear finite element method, we discretize the variational inequality and achieve a linear complementarity problem (LCP). We present some existence and uniqueness theorems for solutions of the un-derlying variational inequalities and free boundary problems. Finally we solve the LCP numerically by applying a modification of the active set strategy.
CRITÉRIOS E ESTRATÉGIAS DE QUALIDADE E RIGOR NA PESQUISA QUALITATIVA

The aim of this paper is to discuss strategies to support the operationalization of criteria that ensure quality and rigor in qualitative research. It is a theoretical reflection on the criteria of credibility, transferability, dependability and confirmability proposed as one of the ways to ensure rigor in qualitative research. These criteria were proposed based on an analogy with criteria historically used in qualitative research, considering the specificities of naturalistic research. They must be considered throughout the research process, from its conception to data analysis. However, it is undeniable how challenging it is to consolidate the use of these *Enfermeira. Doutora. Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais. Brasil. ORCID: 0000-0001-5408-0825 Email: isavelloso@ufmg.br Autora correspondente. **Enfermeira. Mestra. Centro Universitário UniBH, Belo Horizonte, Minas Gerais, Brasil. ORCID: 0000-0002-1977-4132 Email: drajst@hotmail.com CIENCIA y ENFERMERIA (2020) 26:28 DOI: 10.29393/CE26-22CEIS20022
An Improved Rotation-Based Privacy Preserving Classification in Web Mining Using Naïve Bayes Classifier

: Recently, the privacy and security of big data has become an important challenge, which requires the privacy preserving data mining techniques to maintain the trade-off between the data utility and privacy. Web mining is the application of data mining techniques for mining the web data. Privacy issues on the web are based on the fact that most users want to maintain a strict anonymity on web applications and activities. Various conventional techniques are used for privacy preservation like condensation, randomization and tree structure etc. The limitations of the existing approaches are maintaining a balance between the data utility and privacy and the scalability problem. The data stream can be secured and classified by privacy preserving techniques such as perturbation, cryptography and machine learning techniques, etc. Here the machine learning technique Naïve Bayes is employed to classify the perturbed data streams and provides an efficient accuracy. In this proposed research work, the UCI web mining datasets are collected, clustering is done with the help of Fuzzy C-Means (FCM), Flip and Rotation Perturbation (FRP) technique is applied to perform data renovation and classification on perturbed data is done using Naïve Bayes classifier. The classifier is improved by using a holdout approach on data separation in training and testing phases. The classification accuracy, computation time, and error rate of the classifier are measured and they are compared with the ones of the existing method. The comparison shows the achieved result of the proposed method. This proposed system is done with the help of MATLAB 2018a.
Carbon Emission Disclosure Ditinjau dari Nilai Perusahaan,Leverage dan Media Exposure

Penelitian ini ditujukan untuk mengetahui faktor perusahaanmelakukan pengungkapan informasi sukarela emisi karbonnyaditinjau dari nilai perusahaan, leverage, dan media exposure.Sampel penelitian datang dari perusahaan sektor non keuanganyang listing sahamnya di Bursa Efek Indonesia selama periode2015-2018.Metodepurposivesamplingdigunakanuntukpemilihan sehingga terkumpul sebanyak 23 perusahaan. Ujihipotesis menggunakan SPSS 25 dan dengan model analisisregresilinearberganda.Penelitianinimenunjukkanbahwanilai perusahaan dan media exposure tidak memiliki pengaruh pada pengungkapan emisi karbonperusahaan.Sedangkan leverage terbukti berpengaruh negatif pada pengungkapan emisi karbon, dimana perusahaan dengan leverage yang tinggi akan lebih cenderung tidak mengungkapkan pengungkapan informasi emisi karbonnya
Effects of drying temperature and relative humidity on spaghetti characteristics

ABSTRACT This study aimed at investigating the effect of drying conditions on spaghetti properties, i.e., its color, surface structure, rupture strength, rehydration characteristics, texture, and sauce retention capacity. The effects of temperature and humidity were independently examined under constant drying conditions, which were compared to those applied industrially, where the temperature and relative humidity are changed stepwise with time. The knowledge obtained in this study is considered useful for reasonably determining the drying conditions for producing spaghetti with desired properties.
Highly proton conducting MoS2/graphene oxide nanocomposite based chemoresistive humidity sensor

This paper reports the development of MoS2/GO nanocomposite based sensing layers for resistive humidity sensors. The MoS2 nanoflakes were synthesized through liquid exfoliation and GO was synthesized using modified Hummers method. The nanocomposite was drop-cast on a Si/SiO2 substrate containing aluminium electrodes to fabricate the sensor device. The best performance was shown by the 1 : 4 (MoS2/GO) composite. Various characterization techniques like Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), X-Ray Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), and Fourier Transform Infrared Spectroscopy (FTIR) were used to verify the composite formation. The sensing response was found to lie between 55 times at 35% RH and 1600 times at 85% RH. Such a high response is believed to be because of proton conductivity in the water layer for both MoS2 and GO. The sensor performance was found to be repeatable even after three months of the first measurement with quick response and recovery. Thus the authors believe that the excellent sensitivity coupled with low cost synthesis and resistive sensing will make their work useful to develop new generation humidity sensors.
Analisis Pengaruh Atribut Influencer Marketing Produk Elektronik pada Platform Youtube terhadap Customer Purchase Intention

The seemingly unlimited world makes competition increasingly fierce in the electronics industry. This phenomena makes the industry always look for ways to maximize the competitive advantage of the company. One of them is in marketing strategy. The use of influencer marketing is on the rise and will be able to increase the potential success of a product and brand on the market. But that does not mean the selection and use of influencer marketing can be done easily. Increasing of alternatives and expensive prices are the main problems during the selection process of influencer marketing that faced by industry. This study tries to find what attributes are the main focus for potential consumers in making product purchase decisions when watching video reviews on the Youtube platform. Data from 172 respondents were collected and analyzed in this research. It was found that the detail of product exposition is the most important attribute in making a purchase decision for a product and if execute well will ultimately increase customer purchase intentions of potential consumers who are using video reviews on the YouTube platform.
Relevance of Two Basic Turbulent Premixed Combustion Models for the Numerical Simulations of V-Shaped Flames

ABSTRACT The present study is devoted to the analysis of basic turbulent premixed combustion closures applied to the numerical simulations of V-shaped flames. It is well known that an important parameter for the numerical simulation of such premixed turbulent flames is the description of the departure from the bimodal limit (thin flame limit), which is associated to the maximum value of the progress variable segregation rate, i.e., S = 1. The evolution of this segregation rate is often deduced from a modeled transport equation written for the progress variable variance. However, the closure of such a transport equation does involve many additional sub-models, which are related to the mean and variance progress variable fluxes and mean scalar dissipation rate of the progress variable variance. In the present work two original closures for the mean chemical rate are considered. Special emphasis is also placed on algebraic closures for S that circumvent the difficulty associated to the modeling of the second moment of the progress variable. In the first step of the analysis these closures are analyzed in the case of the propagation of a one-dimensional turbulent premixed flame brush. They are subsequently applied to the numerical simulation of premixed V-shaped flames that have been studied experimentally by Galizzi (2003) and by Degardin et al. (2006). It is found that these closures provide a satisfactory representation of the turbulent premixed flames.
Early bonding, Parenting Styles and Temperament: Association between three-generational Aspect of Parenting

Background: Parenting styles differ with individuals. Early experiences play an important role to determinethe nature of parenting. However, studies do not highlight dyadic views of partners as a unit in their parentingstyles. Further, the critical age between 3-6 years is found to be vulnerable to environmental influences.Thus, the transactional influence in a three-generational viewpoint needs to be studied. The aim was tounderstand the three-generational aspect of parenting. The primary objective included understanding therelationship of early parental bonding on current parenting styles and its association with the temperamentof pre-school aged children.Method: 15 couples with children in preschool, aged between 3-6 years, of age range 20-40 years using aconvenience sampling were recruited. The participants were assessed by the Parental Bonding Instrument(PBI), Parental Styles and Dimensions Questionnaire (PSDQ) and Child Behaviour Questionnaire- Very ShortForm (CBQ-VSF). The data was further analyzed using descriptive statistics for the socio-demographics andthe association between the variables was assessed using Spearman’s rank correlation.Conclusion: Correlational analysis showed an authoritative parenting style positively correlated witheffortful control and a negative correlation with the surgency dimension of temperament. No significantrelationship between parental bonding and parenting styles was found.
Bipartite containment of descriptor multi‐agent systems via an observer‐based approach

This study considers the bipartite containment problem for a class of descriptor multi-agent systems (MASs) under a structurally balanced graph. A new bipartite containment control protocol acting on each follower is proposed on the basis of designing a singular observer, where relative output information is utilised. By employing the stability theory of descriptor systems and multiple Lyapunov function technique, some sufficient criteria are derived to guarantee observer-based bipartite containment of descriptor MASs. The feasibility of obtained theoretical results is finally verified via performing simulations.
Effect of Dynamic Neuromuscular Exercise Training on Explosive Arm Strength and Agility in Basketball Players

Background: As Basketball requires high level conditioning abilities, it is necessary to have the arm andleg explosive power and agility to be derived at desired level. To achieve this derivation we have postulatedthe Dynamic Neuromuscular exercise training program for Basketball players. This could be useful toenhance their performance by improving their abilities. Aim: To study Effect of Dynamic NeuromuscularExercise Training on Explosive arm strength and agility in Basketball Players. Setting and Design: Ethicalapproval was obtained from Institutional ethical committee. Subjects were selected by convenient samplingmethod. The players were evaluated for Agility and explosive arm stregth. A survey among 68 playerswas done among which 60 patients participated based on inclusion criteria which were divided into twogroups. Methods and Material: Experimental group (Group A, n=30) received Dynamic NeuromuscularExercise Training Programfor 4 days/week for 6 weeks whereas control group (Group B, n=30) received theconventional exercises. Pre and post treatment analysis was recorded using Illinois agility test and Medicineball throw test. Statistical Analysis: Data was subjected to Shapro-Wilk test which showed data does notpass normality test hence parametric pair and un-paired t test were performed to analyse the data within thegroups. Result: Between group comparisons; group A (n=30, mean age= 21.37±2.12) showed extremelysignificant (p<0.0001), improvement in Medicine ball throw test in pre (5.80±0.88) to post intervention(8.15±0.80) than group B(n=25, mean age=22.9±2.41) in pre (5.9±1.01) to post intervention (6.35±0.97). As well the Illinois agility test showed significant improvement (p<0.0001) in group A (pre= 21.9±2.9to post=17.85±1.6) than group B (pre=23.35±2.07to post=22.67±2.10). Conclusion: Study concluded thatthere is significant effect of Dynamic Neuromuscular training on explosive arm strength and agility inbasketball players.
Engineering of Highly Interconnected Inverse Opal Extracellular Matrix Scaffolds for Enhanced Cell Transplantation and Vascularization of Ischemic Tissue

The therapeutic effectiveness of cell transplantation in treatment of diseases and injuries is often limited by low cell retention, survivability, and engraftment. Extracellular matrix (ECM)-derived scaffolds are capable of controlling cell responses, thereby offering potential solutions to current challenges associated with cell therapy. However, it remains a technical challenge to produce ECM scaffolds with highly interconnected porous structure specifically required for cell transplantation. Here, we developed inverse opal porous extracellular matrix (ioECM) scaffolds through subcutaneous implantation of sacrificial templates assembled from polymer microspheres, followed by removal of the microsphere template and cellular content. Such highly interconnected porous ioECM scaffolds supported the anchorage, proliferation, viability, anti-apoptotic and paracrine activities of rat bone marrow mesenchymal stem cells (BMSCs), which further promoted endothelial cell migration, tube formation and proliferation. Upon transplantation into nude mouse critical limb ischemic model, ioECM promoted the engraftment of laden BMSCs, facilitated interconnected vascular network formation with accelerated recovery of blood perfusion and inhibited muscle atrophy and fibrosis. Our study demonstrates a unique strategy to engineer highly porous yet well-interconnected ECM scaffolds specifically for cell transplantation with marked improvement of survivability and vascularization, which offers an essential step toward the success of cell therapy and regenerative medicine.
Evaluating Non-Aromatic Rice Varieties for Growth and Yield under Different Rates of Soil Applied Boron

Balanced boron (B) fertilization has prime importance to obtain maximum paddy yield. The range between B deficiency and toxicity is smaller than most plant nutrients, though B requirement among different crops varies widely. The adequate dose of B for one genotype can either be insufficient or toxic to other. Hence, without knowing the actual requirements of crop varieties, B application can be risky due to the toxicity hazards. A field experiment was undertaken at experimental farm of Nuclear Institute of Agriculture (NIA), Tandojam during 2013, to evaluate the B requirement of two non-aromatic rice varieties. The experiment was arranged in split plot design with three repeats. Two rice varieties Sarshar and Shandar were grown in main plots with four rates of B: 0.5, 1.0, 1.5 and 2.0 kg ha-1 and control (0 kg ha-1) in sub plots. Both the varieties responded differently to B rates. Sarshar produced the highest paddy yield (5691 kg ha-1) at a rate of 1.5 kg B ha-1 and was 18% greater than control, Shandar produced the highest yield (6075 kg ha-1) at a rate of 1.0 kg B ha-1and was 5% greater than control. B accumulation in paddy and straw of both varieties increased with the increasing B rates. Both varieties were also significantly (p<0.05) varied in B accumulations. Comparatively, rice variety Sarshar accumulated 9% and 22% more B in straw and paddy than the Shandar. Thus, the B requirement of Sarshar was relatively higher than the Shandar. Shandar can be grown without the additional B application, whereas, Sarshar requires additional B for its maximum harvest in B deficient soils.
CSAFNet: Channel Similarity Attention Fusion Network for Multispectral Pansharpening

Multispectral (MS) pansharpening involves fusing a low-spatial-resolution MS image and its associated high-spatial-resolution panchromatic image. Recently, convolutional neural network (CNN)-based fusion models have been widely used in pansharpening domain, but most of them treat diversity features equally and also neglect the contribution of multilevel features, thereby impeding the representation ability of CNNs. To deal with these issues, we propose a novel channel similarity attention fusion network (CSAFNet) in this letter, where several channel attention residual dense blocks (CARDBs) are stacked to fully exploit discriminative features, and then the features produced by all CARDBs are combined via a multilevel feature fusion module. Such network enables the network to focus on more informative features and make full use of them. Both visual and quantitative assessments validate the superior performance of the proposed network over the current pansharpening methods with respect to spectral fidelity and spatial enhancement.
Assessment of phytochemical screening by Fourier Transform Infrared spectroscopic analysis of peach (Prunus persica) seed biomass from Uttarakhand region of India

Prunus persica (Peach) has several medicinal and nutritive properties such as antioxidant, antimalarial, anticoagulant, antifungal, ant-allergic, etc. The present study focuses on the exploratory for phytochemicals constituents screening of seed extracts of Prunus persica from Uttarakhand region of India by Fourier Transform Infrared spectroscopy (FTIR) analysis. The extraction of seed was carried out using soxhlet apparatus in different solvents such as petroleum ether, chloroform, ethyl acetate, ethanol, and water. The characteristics of physical parameters of dried seed of P. persica were reported as total ash (14.250±0.126 %), acid insoluble ash (6.800±0.036 %), water-soluble ash (11.714±0.123 %), and sulphated ash value (2.274±0.025 %); whereas, the extractive values were also recorded as alcohol soluble extractive (1.917±0.011 %), and water-soluble extractive (10.580±0.048 %). The highest values of nutritive components (366.778±0.257 %) were followed by, carbohydrate (45.500±0.336 %), crude protein (29.360±0.551 %), available carbohydrate content (28.002±0.439 %), moisture content (12.547±0.022 %), crude fibre (11.602±0.123 %), crude fat (7.482±0.068 %), and total nitrogen (4.695±0.032 %). The maximum extraction yield was recorded in the aqueous extract solution (11.15 %), followed by petroleum ether (2.8 %), ethyl acetate (2.1 %), ethanol (1.6 %), and chloroform (0.4 %). Besides, this the most effective chemical bonding groups of FTIR spectra analyzed in a sample of P. persica seed were N-H, O-H (3600-3400 1/cm), C-H (3000-2800 1/cm), N-H, C-C, C=O (1680-1550 1/cm), C-H (1470-1350 1/cm), CO-OR (1400-1000 1/cm), C-H (850-550 1/cm), and C-I (500-400 1/cm), respectively. Therefore, this study provides useful insights into the beneficial properties of P. persica seed biomass from the Uttarakhand region of India, which may be further used for the production of several pharmaceuticals and nutraceutical products.
Hyperbaric Oxygen Therapy for ‘Happy’ Hypoxia in COVID-19 Patient, Why is it Better?

Background: Lately, there has been many discussions regarding happy / silent hypoxia, whereas the patient does not sense or show symptoms of breathlessness yet the patient has been experiencing hypoxia due to Covid-19 infection. This has caused death to many Covid-19 patients without comorbidities. The most common therapy that is given to COVID-19 patients who experience worsened breathing is to use a mechanical ventilator. However, this therapy has not provided satisfactory result while Hyperbaric Oxygen Therapy (HBOT) has been used to treat various disease that lead to hypoxia, including CO poisoning and chronic anemia. Objective: to explore the possible pathophysiology underlying happy/silent hypoxia in COVID-19 patients, its consequences to oxygen debt and how HBOT is a better treatment compared to mechanical ventilation. Method: This study uses the literature review method using electronic database in the form Pubmed, SCOPUS, Science Direct, Open Access Library (OALIB), Research gate and Google Scholar with restrictions on the keywords of HBOT, Happy hypoxia and COVID-19. Result: Reports from multiple hyperbaric centres in China and the USA showed that patients receiving HBOT treatment as adjuvant therapy can prevent them receiving mechanical ventilation and help overcome the respiratory failure. The proposed mechanism underlying this effect is due to its noninvasive, anti-inflammatory properties and the ability to increase alveolar-arterial oxygen partial pressure (PA-a)O 2. Although this therapy has only been given to a small number of COVID-19 patients, the results obtained are that most of these patients experience rapid and permanent improvement without any serious side effect that can worsen the condition. Conclusion: Reports from various Hyperbaric Centres in China and the USA show promising results in using HBOT to overcome the respiratory failure in COVID-19 due to its various properties and with ongoing RCTs, it is hoped that it will give satisfactory results so that it can help overcome hypoxia in COVID-19 patients.