Miracle-dz/UniFAR-FTUs huggingface dataset:
A B-Spline Quasi Interpolation Crank–Nicolson Scheme for Solving the Coupled Burgers Equations with the Caputo–Fabrizio Derivative

In this paper, a Crank–Nicolson finite difference scheme based on cubic B-spline quasi-interpolation has been derived for the solution of the coupled Burgers equations with the Caputo–Fabrizio derivative. The first- and second-order spatial derivatives have been approximated by first and second derivatives of the cubic B-spline quasi-interpolation. The discrete scheme obtained in this way constitutes a system of algebraic equations associated with a bi-pentadiagonal matrix. We show that the proposed scheme is unconditionally stable. Numerical examples are provided to verify the efficiency of the method.
Two-Stage Hybrid Network Clustering Using Multi-Agent Reinforcement Learning

In the Internet-of-Things (IoT) environments, the publish (pub)/subscribe (sub)-operated communication is widely employed. The use of pub/sub operation as a lightweight communication protocol facilitates communication among IoTs. The protocol consists of network nodes functioning as publishers, subscribers, and brokers, wherein brokers transfer messages from publishers to subscribers. Thus, the communication capability of the broker is a critical factor in the overall communication performance. In this study, multi-agent reinforcement learning (MARL) is applied to find the best combination of broker nodes. MARL goes through various combinations of broker nodes to find the best combination. However, MARL is inefficient to perform with an excessive number of broker nodes. Delaunay triangulation selects candidate broker nodes among the pool of broker nodes. The selection process operates as a preprocessing of the MARL. The suggested Delaunay triangulation is improved by the custom deletion method. Consequently, the two-stage hybrid approach outperforms any methods employing single-agent reinforcement learning (SARL). The MARL eliminates the performance fluctuation of the SARL caused by the iterative selection of broker nodes. Furthermore, the proposed approach requires a fewer number of candidate broker nodes and converges faster.
A new fuzzy logic based approach for optimal household appliance scheduling based on electricity price and load consumption prediction

ABSTRACT Smart Home Energy Management Systems (HEMS) constitute a vital necessity for optimizing electricity usage and saving energy in smart grids. However, these systems rely on dynamic factors that are stochastic and difficult to predict, such as the load consumption and electricity prices. Therefore, constructing an efficient control system for residential buildings requires an accurate prediction process of the associated parameters. This paper proposes an integrated predictive control system that consists of both predictive model and Demand Response (DR) scheme to predict and control the daily electricity usage in the residential sector. First, a Long Short-Term Memory-based (LSTM) optimized predictive model is implemented for predicting both the hourly load consumption and electricity price for a typical smart home. Then, the predicted data are transmitted to a DR fuzzy logic-based controller that can optimally schedule the home appliances usage. In comparison with the state-of-the-art prediction techniques for the residential load consumption and electricity price, the proposed LSTM predictive model outperforms Linear Regression (LR), Decision Tree (DT), Support Vector Regression (SVR), and Ensembled Boosted Trees (EBT). Moreover, the proposed DR-FIS controller has shown good results in terms of reducing the electricity cost by selecting the optimal time schedule.
Nanoindentation Test Conducted on Single Scan Tracks for the Development of New Multi-Principal Element Alloys

Urgent environmental challenges and emerging additive manufacturing (AM) technologies push research towards more performant and new materials. In the field of metallurgy, high entropy alloys (HEAs) have recently represented a topic of intense research because of their promising properties, such as high temperature strength and stability. Moreover, this class of multi-principal element alloys (MPEAs) have opened up researcher community to unexplored compositional spaces, making prosper literature of high-throughput methodologies and tools for rapidly screening large number of alloys. However, none of the methods has been aimed to design new MPEAs for AM process known as selective laser melting (SLM) so far. Here we conducted nanoindentation testing on single scan tracks of elemental powder blends and pre-alloyed powders after ball milling of AlTiCuNb and AlTiVNb. Results show that nanoindentation can represent an effective technique to gain information about phase evolution during laser scanning, contributing to accelerate the development of new MPEAs.
Addiction to the Smartphone in High School Students: How It’s in Daily Life?

Nowadays, the serious situation that affects the entire world goes beyond the social, cultural, economic problems and other conflicts that occur day by day. These were left aside to move to a global alert; we refer to the pandemic crisis that all the nations of the world are facing. Confinement forced people all over the world to stay at home; therefore, communications through electronic devices became very necessary. This study does not seek to analyze the pandemic crisis; its purpose is to analyze the use that students give to their mobile phone, to determine if this has generated addiction, in addition to identifying if use differs in men and in women. Participants were 184 high school students enrolled in a public sector institution in the Port of Veracruz, Mexico. To obtain the data, the SAS-CV test was used. This contains questions related to the profile of the respondent and 10 items in Likert format. It was distributed via electronic devices for their response. The data were statistically analyzed using polychoric correlation matrices and factor analysis with component extraction. The main findings demonstrate the obtaining of three components: physiological, dependence and distraction, which account for 68% of the total variance, and it was also shown that there are no differences by gender.
Multi-Step Learning-by-Examples Strategy for Real-Time Brain Stroke Microwave Scattering Data Inversion

This work deals with the computationally-efficient inversion of microwave scattering data for brain stroke detection and monitoring. The proposed multi-step approach is based on the Learning-by-Examples (LBE) paradigm and naturally matches the stages and time constraints of an effective clinical diagnosis. Stroke detection, identification, and localization are solved with real-time performance through support vector machines (SVMs) operating both in binary/multi-class classification and in regression modalities. Experimental results dealing with the inversion of laboratory-controlled data are shown to verify the effectiveness of the proposed multi-step LBE methodology and prove its suitability as a viable alternative/support to standard medical diagnostic methods.
The role social diversity plays in enhancing mental health literacy among the elderly

PurposeMental health literacy (MHL) is the ability to understand health information originating from different sources. Little is known about ethnic differences in sources for health information, and the effect these differences has on elderly MHL. In this paper, we focus on the social networks (i.e. social connections) of elderly people from different ethnic groups, and investigate the effect these networks have on MHL. Specifically, we focus on the ethnic diversity of one's peers (ethnic diversity) as a network characteristic that can interplay with his\her MHL.Design/methodology/approachThe data used in this study were gathered using a survey among elderly (over the age of 60) Native Israeli Jews (N = 147) and Immigrant Jews from the Former Soviet Union (FSU, N = 131). The survey was used to assess our participants MHL, online and offline sources of mental health information and mental health service utilization. Interviews were also conducted with each participant. The interview purpose was to map the participants' social network (using a sociogram), while indicating the attributes of the participant's peers (age, gender, ethnicity, etc.) and the nature of the interaction (online vs. offline, strength of the tie, etc.). A set of hierarchal regression analyses were then used to examine which social network attributes are correlated with MHL levels.FindingsOur findings shows that ethnic diversity within the social networks of Immigrants from the FSU contributed to their MHL more so than for native-born Jews. Specifically, face to face maintained connections with individuals from diverse ethnic groups lead to increased knowledge about how to search for mental health information. Online maintained connections with individuals from diverse ethnic groups, lead to increase attitudes that promote recognition of mental health related issues and appropriate help-seeking.Originality/valueUnderstanding the interplay between the ethnic diversity among one's peers and his/her MHL offers an important additional prism of examining MHL; moving beyond the individual's characteristics and examining his/her social connections as well. The relevancy of these findings for reducing MHL inequalities between native-born and elderly migrants, as well as for ethnic minorities is discussed.
Total Antioxidant Capacity, Uric Acid, and Bilirubin in Patients with Heart Failure due to Non-Ischemic Cardiomyopathy

The impairment of cardiac contractility in chronic heart failure might be caused by an increased level of reactive oxygen species (ROS) and/or a decrease in the antioxidant defense. Therefore, we studied total antioxidant capacity (TAC), uric acid, bilirubin, and malondialdehyde (MDA) concentrations in relation to the hemodynamic status in patients with stable heart failure. As many as 216 right heart catheterization procedures were performed in 107 patients with non-ischemic cardiomyopathy. TAC, uric acid, bilirubin, and MDA concentrations were analyzed. A comparison of groups established on the basis of the median of cardiac index (CI of 2.1 l/min/m 2 ) and mixed venous oxygen saturation (SvO 2 of 62%) was done. The results showed that significantly higher uric acid and bilirubin levels were determined in the group with CI < 2.1 l/min/m 2 and in the group with SvO 2 < 62%. TAC was higher in patients with lower CI. MDA concentration was similar in all subgroups. TAC correlated with stroke volume (p < 0.05), and pulmonary and systemic vascular resistance (SVRI) (p < 0.05). Both uric acid and bilirubin correlated significantly and positively with all hemodynamic parameters of pulmonary circulation and SVRI. Additionally, positive correlations between uric acid and TAC (p < 0.001) and bilirubin and uric acid (p < 0.001) were detected. On the other hand, a negative correlation between TAC and MDA (p < 0.01) was observed. In conclusion, this study revealed a novel relationship between redox state and severity of heart failure. An increase of antioxidant parameters in patients with low CI and low SvO 2 may suggest an increased oxidative stress intensity and elevated compensatory mechanism in stable heart failure due to non-ischemic dilated cardiomyopathy.
Prevalence of dry eye status in type ii diabetes mellitus patients

Background: Dry eye is a disorder of precorneal tear film frequently present in patients with diabetes mellitus (DM) either symptomatic or asymptomatic. It can cause mild symptoms to severe corneal complications affecting the visual quality of life. Objective: To assess the dry eye status among type 2 diabetes mellitus in patients attending Ophthalmology OPD in Sree Mookambika institute Of Medical Sciences, kulasekharam. Materials and methods: This was a hospital based cross-sectional study where 87 patients with type 2 diabetes mellitus of age more than 40 years are studied. The dry eye status was evaluated using schirmer's test, Tear Film breakup time (TBUT) measurement. Statistical method of analysis: study parameters entered in Microsoft office Excel 2013.SPSS trail version-20. Result: Among 87 type 2 diabetes mellitus patient above the age of 40 years, 55.3% had significant dry eye, more prevalent in patients aged over 50 years. Conclusion: Dry eye is more prevalent among diabetic patients. Strict glycemic control is important for the prevention of dry eye syndrome and other ocular surface pathology among type 2 diabetes mellitus patients.
Study of Echo Cancellation approach by using Least Mean Square (LMS) Algorithm

Sound is the origin of communication. We are using sound channel for interaction. The acoustic signal introduces echo signal properties which lead the original signal as error signal. In most of applications the adaptive filters implemented in time domain works quite efficiently. However, the complication of the adaptive filter increases as the impulsive reaction becomes quite large hence it cannot be implemented efficiently in time domain. Acoustic echo cancellation is one example where this can happen. In this paper we will explain about to acoustic cancellation and different methods that are adopted to overcome the interference of noise by using various levels of algorithms and apply it to an error signal and makes solution for the problem, verifies the performance, describe the best and suitable technique which gives most effective results.
Optimal Job Scheduling With Resource Packing for Heterogeneous Servers

Jobs in modern computing clusters have highly diverse processing duration and heterogeneous resource requirements. In this paper, we consider the problem of job scheduling for a computing cluster comprised of multiple servers with heterogeneous computation resources, while taking the different resource demands of the jobs into account. Our focus is to achieve a low overall job response time for the system (which is also referred to as the job flowtime) while providing fairness between small and large jobs. Since the job flowtime minimization problem under multiple (even homogeneous) servers are known to be NP-hard, we propose an approximation algorithm to tackle the original online scheduling problem by adopting the recently-proposed notion of fractional job flowtime as a surrogate objective for minimization. For the general online job arrival case with multi-dimensional resource requirements, we apply Online Convex Optimization (OCO) techniques to design the corresponding scheduling algorithm with performance guarantees. In the single-dimensional resource setting, we show that the dynamic fit of the online version of our approximate algorithm grows only sublinearly with respect to time and derive a bound for its dynamic regret when comparing to its offline counterpart. While the baseline version of our proposed scheduling algorithm assumes the possibilities of job preemption and job migration across different servers, we show that the extent of job preemption and migration can be well controlled by augmenting the objective function with the corresponding switching costs.
Effect of Pulsed Electric Field Processing on Flavor and Color of Liquid Foods

This review shows that pulsed electric field (PEF) is a non-thermal preservation method that uses electric pulses to inactivate microorganisms and most especially high-intensity pulsed electric field (HIPEF) treatment involving application of pulses of high voltage (typically 20–80 kV/cm) to foods placed between two electrodes could achieve better flavor preservation and color retention in liquid foods than heat processing. HIPEF processing has been shown to deliver safe and chill-stable fruit juices with fresh-like sensory and nutritional properties. In addition, studies have shown that hurdle application of the different non-thermal treatments offers synergistic advantage over separate application of the individual treatment. PEF treatment in combination with other hurdles (such as microfiltration with large pore ≥1.2 µm, ultraviolet irradiation, high-intensity light pulses, etc.) has the potential to increase the preservation of liquid foods while retaining sensory attributes. Practical Applications Non-thermal technology is one of the food processing and preservation methods that currently have been explored on a global scale. Pulsed electric fields (PEF) is a non-thermal preservation method that uses electric pulses to inactivate microorganisms and causes little or no change in food qualities. It is an efficient process that is employed to inactivate microorganisms and decrease the activity of enzymes without major undesirable effects on the organoleptic qualities of food products. PEF technology has not only proven to be effective in eliminating food microorganisms and inactivate enzymes, it also has a higher flavor and color retention properties than thermally processed foods.
Adopt, adapt or abandon: Health care providers’ beliefs matter. Using the NASSS framework to analyse the implementation of four technology-supported person-centred care initiatives from the perspectives of health care providers

Background: Technology support and patient-centred care are the new mantra for health care programmes in Western societies. While few argue with the overarching philosophy of patient-centred care nor with the potential of information technologies, there is less agreement on how to make them a reality in everyday clinical practice. In this paper, we investigate how individual health care providers at four innovation arenas in Scandinavia experienced the implementation of technology-supported person-centred care for persons with long-term care needs by using the new analytical framework Nonadoption, Abandonment and challenges to the Scale-Up, Spread, and Sustainability of health and care technologies (NASSS). We also discuss the usability and sensitivity of the NASSS framework for those seeking to plan, implement and evaluate technology-supported health care programmes. This study is part of an interdisciplinary research and development project called Patients and Professionals in Partnership (2016 - 2020). It originates at one of nine work packages in this project.Method: The main data consist of ethnographic field observations at the four innovations arenas and 29 interviews with involved health care providers. To ensured continuous updates and status on work at the four innovation arenas, we have also participated in a total of six annual networks meeting arrange by the project. Results: While the NASSS framework is very useful indeed for identifying and communicating challenges with adoption and spread of technology-supported person-centred- care initiatives, we find it less sensitive towards capturing the dedication, enthusiasm and passion for care transformation that we found among the health care providers in our study. When it comes to technology-supported person-centred care, the point of no return has passed for the involved health care providers. To them, it is already a definite part of the future of healthcare services. How to overcome barriers and obstacles is pragmatically approached. Conclusion: Increased knowledge about the health care providers and their visions as potential assets for care transformation might be critical for those seeking to plan, implement and evaluate technology-supported health care programmes.
The Impact of Renewable Energy, Economic and Population Growth on CO2 Emissions in the East African Region: Evidence from Common Correlated Effect Means Group and Asymmetric Analysis

This study aims to examine the asymmetric nexus between CO2 emissions and renewable energy and economic and population growth in seven East African countries (EACs) at the regional level and country levels. Common correlated effect means group (CCEMG), nonlinear autoregressive distributed lagged (NARDL), and causality tests were employed for the panel data from 1980 to 2016. The main findings are as follows: (1) Renewable energy consumption negatively affects CO2 emissions, while economic and population growth positively affect CO2 emissions at the regional level. (2) The findings of asymmetric and symmetric linkages between CO2 emissions and its determinants (economic and population growth and renewable energy) are very volatile across the country levels. (3) The causality hypotheses are different across the country and regional levels. (4) This study shows the renewable energy growth nexus, wherein renewable energy positively affects economic growth at the regional level. Lastly, the study suggests potential policy implications for effectively reducing CO2 emissions as well as growing the economy at the regional level.
The Weibull-exponential {Rayleigh} Distribution: Theory and Applications

This study introduces a new distribution in the family of generalized exponential distributions generated using the transformed-transformer method. Some properties of the distribution are presented. The new distribution has three parameters and they are estimated numerically using the BGFS iterative method implemented in R software. Two real sets of data are adopted to demonstrate the flexibility and potential applications of the new distribution.
New redox spectrophotometric methods for the analysis of certain cephalosporins through formazan formation

Two convenient, rapid and sensitive colorimetric procedures were developed for the analysis of cefaclor monohydrate, cefotaxime sodium, ceftazidime pentahydrate, ceftriaxone sodium, cephalexin monohydrate, and cephradine in pure form as well as in their pharmaceutical formulations. These methods are based on the reaction of the cited drugs with either 2,3,5-triphenyltetrazolium chloride (TTC) or blue tetrazolium [3,3'-(3,3'-dimethoxy-4,4'-biphenylene) bis(2,5-diphenyl-2H-tetrazolium chloride] (BT) at 50°C for 15 and 5 min, respectively. The highly colored formazans produced were measured at 485 and 525 nm, respectively. The reactions were carried out in the presence of 0.1% potassium hydroxide in ethanol using absolute ethanol as a solvent. Different variables and parameters affecting the reactions were studied and optimized. In addition to the considerably high molar absorptions of the chromophores thus formed (7840-31900 l.mol -1 cm -1 ), Beer-Lambert's plots were obeyed in a general concentration range of 2-24 μg/ml with correlation coefficients of not less than 0.9960. The proposed procedures could be applied successfully to the determination of the investigated drugs in vials, capsules, tablets and suspensions with a good percentage recovery ranging from 97.69 (± 1.71)-101.97 (± 1.17) via the TTC method, and 99.23 (± 1.84)-102.49 (± 1.50) with the BT method.
Cutaneous scalp metastases from a left hallux subungual melanoma: An instructive case of scalp nodules

Melanoma is the most aggressive form of skin cancer affecting patients worldwide and has the potential to metastasize to virtually any organ in the body. Early detection is of paramount importance to minimize patient morbidity and mortality. However, there has been increasing evidence highlighting that geographical and ethnic variations in the clinical presentation of melanoma do exist. Unlike the Western population, the major subtype of melanoma affecting the Asian population is in fact, acral lentiginous melanoma (ALM) and not superficial spreading melanoma (SSM). We hereby present a case of left hallux subungual melanoma with scalp metastasis. This case underscores the importance of the examination of acral skin and the nail apparatus for melanoma in Asians.