Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet of Smart Grid Things (IoSGT): Prototyping a Real Cloud-Edge Testbed

This paper presents the Internet of Smart Grid Things (IoSGT) architecture, which is understood as an ecosystem of cutting-edge technologies that work together to enable advanced SG applications, which run at core/edge cloud datacenter premises connecting an underlying IoT networking infrastructure. The IoT-to-Edge-to-Cloud continuum paradigm that the IoSGT architecture yields aim to accelerate a plethora of Smart Grid (SG) new generation systems, which will advance current facilities at unprecedented levels. We materialized the proposed architecture in the form of a prototype atop a testbed entailing real-world technologies to lay high-accurate experiments assessments. The IoT-to-Edge-to-Cloud continuum of the IoSGT testbed extends from edge datacenter facilities running at the Federal University of Pará (UFPA), and the Federal University of Rio Grande do Norte (UFRN) premises, interconnected by RNP. An IoT-based off-the-shelf Smart Meter has been built by our group to provide a low-cost IoSGT Advanced Metering Infrastructure (AMI) use case. In addition to presenting the IoSGT architecture, our work includes prototyping and exercise on the testbed.
Blood pressure control in hypertensive disorders of pregnancy

Hypertension is a major cause of maternal morbidity and occurs as a complication in up to one in ten pregnancies. Hypertensive disorders of pregnancy encompass gestational hypertension, preeclampsia, chronic hypertension, and chronic hypertension with superimposed preeclampsia. However, the management of hypertensive disorders of pregnancy remains a matter of debate, particularly the blood pressure thresholds and targets for managing hypertension in pregnancy. Previously, there was no clear evidence of the effectiveness of aggressive blood pressure control in pregnancy due to the risk of fetal growth restriction. Recent clinical trials have shown that aggressive control of blood pressure in pregnant women is safe for both the mother and fetus. The purpose of this paper is to present a clinically oriented guide to the drugs of choice in patients with hypertension during pregnancy, present contrasts among different guidelines and recent clinical trials, and discuss the blood pressure thresholds and targets for hypertension during pregnancy based on recent studies.
Trans-anethole, the major constituent of the essential oil of anise, improves the antiarthritic effects of methotrexate in rats

The aim of this study was to evaluate the effect of trans-anethole in combination with methotrexate, compared to monotherapy with trans-anethole or methotrexate, on inflammatory parameters and oxidative stress of arthritic rats. The experimental model of arthritis induced by Freund's complete adjuvant (AIA) in rats was used. Treatment with trans-anethole and methotrexate, in combination or monotherapy, was started on the day of AIA induction and continued for 21 days. The association of anethole (62.5 mg/Kg) to methotrexate (6 mg/Kg) therapy was able to further reduce both the oxidative stress induced by arthritis and the inflammatory events that characterize the disease, as demonstrated by the following indicators: 1) decrease in the edema of the hind legs, in the score of secondary lesions, in the recruitment of leukocytes to the articular cavity and in the plasma myeloperoxidase activity; 2) increase in plasma content of reduced thiols and total antioxidant capacity; 3) diminution of protein carbonylation in plasma, liver and kidneys; 4) decrease in lipid peroxidation in the liver; 5) reduction in the hepatic ROS content; 6) enhancement of the activity of the antioxidant enzymes and GSH/GSSG ratio. In general, the combination anethole + methotrexate presented a substantially higher effect than the monotherapy with anethole or methotrexate (at the same doses). The data obtained in this work allow us to conclude that the use of trans-anethole in combination with methotrexate suppressed arthritic progression in rats, with the main advantage of reduction of methotrexate dose, attenuating adverse effects caused by high dose therapy.
CSR Disclosure of Shari’ah Compliant Companies in Indonesia: The Extent and Quality Examination

In Indonesia, the number of Shari’ah Compliant Companies (ShCCs) has risen since the release of a fatwa that encourages the growth of the Islamic Capital Market (ICM) in the country. ShCCs are expected to be transparent in disclosing information in their annual reports. Besides non-financial information, the ShCCs also need to provide more information on compliance with Islamic teaching in their reports. This action is to fulfill their responsibility and accountability to society. This study aims to assess the extent and the quality of the Corporate Social Responsibility (CSR) disclosure in the annual reports of ShCCs of Indonesia. The data were collected from the 2014 annual report of 100 ShCCs in Indonesia. To measure the extent and quality of CSR disclosure, a checklist comprising 33 items was constructed. This study used descriptive statistics and reliability tests as the primary statistical tests. The results showed that the extent and quality of CSR disclosure among ShCCs in Indonesia are low. It suggests that ShCCs maintain the narrative disclosure stage rather than promote verifiable CSR information. Hence, companies must intensify the quality of CSR disclosure by providing CSR information in both quantitative and qualitative forms.
On Nonsmooth Global Implicit Function Theorems for Locally Lipschitz Functions from Banach Spaces to Euclidean Spaces

In this paper, we establish a generalization of the Galewski-Rădulescu nonsmooth global implicit function theorem to locally Lipschitz functions defined from infinite dimensional Banach spaces into Euclidean spaces. Moreover, we derive, under suitable conditions, a series of results on the existence, uniqueness, and possible continuity of global implicit functions that parametrize the set of zeros of locally Lipschitz functions. Our methods rely on a nonsmooth critical point theory based on a generalization of the Ekeland variational principle.
Counteraction of Myocardial Ferritin Heavy Chain Deficiency by Heme Oxygenase-1

Given the abundance of heme proteins (cytochromes) in the mitochondrion, it is evident that a meticulously orchestrated iron metabolism is essential for cardiac health. Here, we examined the functional significance of myocardial ferritin heavy chain (FtH) in a model of acute myocardial infarction. We report that FtH deletion did not alter either the mitochondrial regulatory and surveillance pathways (fission and fusion) or mitochondrial bioenergetics in response to injury. Furthermore, deletion of myocardial FtH did not affect cardiac function, assessed by measurement of left ventricular ejection fraction, on days 1, 7, and 21 post injury. To identify the modulated pathways providing cardiomyocyte protection coincident with FtH deletion, we performed unbiased transcriptomic analysis. We found that following injury, FtH deletion was associated with upregulation of several genes with anti-ferroptotic properties, including heme oxygenase-1 (HO-1) and the cystine/glutamate anti-porter (Slc7a11). These results suggested that HO-1 overexpression mitigates ferroptosis via upregulation of Slc7a11. Indeed, using transgenic mice with HO-1 overexpression, we demonstrate that overexpressed HO-1 is coupled with increased Slc7a11 expression. In conclusion, we demonstrate that following injury, myocardial FtH deletion leads to a compensatory upregulation in a number of anti-ferroptotic genes, including HO-1. Such HO-1 induction leads to overexpression of Slc7a11 and protects the heart against ischemia-reperfusion-mediated ferroptosis, preserves mitochondrial function, and overall function of the myocardium.
Specific Learning Disabilities in the Eyes of Schoolteachers in Ethiopia

Abstract This study assessed the level of awareness of Specific Learning Disabilities (SLDs) among schoolteachers in Ethiopia. A descriptive quantitative research design was adopted with a survey method that used a questionnaire. Data were collected from a total of N = 305 schoolteachers (age: M = 24.8, SD = 7.4, range 18–55 years; Male = 150; Female = 155), in 40 public schools in 3 regional states and 2 city administrations. Findings showed that almost all schoolteachers studied demonstrated no knowledge of SLDs at all, with very few exhibiting profoundly poor level of knowledge. The teachers reported that they received no training on SLDs as part of their formal training or professional development programmes. The results call for evidence-informed measures to address issues of policy and practice related to SLDs in Ethiopia and reinforce the urgent need for improving awareness not only among educators and policymakers but also among parents and the general public.
Numerical Methods and Optimization: An Introduction

Basics Preliminaries Sets and Functions Fundamental Theorem of Algebra Vectors and Linear (Vector) Spaces Matrices and Their Properties Preliminaries from Real and Functional Analysis Numbers and Errors Conversion between Different Number Systems Floating Point Representation of Numbers Definitions of Errors Round-off Errors Numerical Methods for Standard Problems Elements of Numerical Linear Algebra Direct Methods for Solving Systems of Linear Equations Iterative Methods for Solving Systems of Linear Equations Overdetermined Systems and Least Squares Solution Stability of a Problem Computing Eigenvalues and Eigenvectors Solving Equations Fixed Point Method Bracketing Methods Newton's Method Secant Method Solution of Nonlinear Systems Polynomial Interpolation Forms of Polynomials Polynomial Interpolation Methods Theoretical Error of Interpolation and Chebyshev Polynomials Numerical Integration Trapezoidal Rule Simpson's Rule Precision and Error of Approximation Composite Rules Using Integrals to Approximate Sums Numerical Solution of Differential Equations Solution of a Differential Equation Taylor Series and Picard's Methods Euler's Method Runge-Kutta Methods Systems of Differential Equations Higher-Order Differential Equations Introduction to Optimization Basic Concepts Formulating an Optimization Problem Mathematical Description Local and Global Optimality Existence of an Optimal Solution Level Sets and Gradients Convex Sets, Functions, and Problems Complexity Issues Algorithms and Complexity Average Running Time Randomized Algorithms Basics of Computational Complexity Theory Complexity of Local Optimization Optimal Methods for Nonlinear Optimization Introduction to Linear Programming Formulating a Linear Programming Model Examples of LP Models Practical Implications of Using LP Models Solving Two-Variable LPs Graphically Classification of LPs The Simplex Method for Linear Programming The Standard Form of LP The Simplex Method Geometry of the Simplex Method The Simplex Method for a General LP The Fundamental Theorem of LP The Revised Simplex Method Complexity of the Simplex Method Duality and Sensitivity Analysis in Linear Programming Defining the Dual LP Weak Duality and the Duality Theorem Extracting an Optimal Solution of the Dual LP from an Optimal Tableau of the Primal LP Correspondence between the Primal and Dual LP Types Complementary Slackness Economic Interpretation of the Dual LP Sensitivity Analysis Unconstrained Optimization Optimality Conditions Optimization Problems with a Single Variable Algorithmic Strategies for Unconstrained Optimization Method of Steepest Descent Newton's Method Conjugate Direction Method Quasi-Newton Methods Inexact Line Search Constrained Optimization Optimality Conditions Duality Projected Gradient Methods Sequential Unconstrained Minimization Notes and References Bibliography Index
Colorectal Cancer and Its Screening Among Public in the Western Region of Saudi Arabia

Background: Colorectal cancer (CRC) is defined as a cancer that starts in the colon or the rectum. CRC is the most commonly diagnosed cancer among Saudi males and ranks third in female individuals. Awareness among the population about CRC symptoms, risk factors, and screening tests is essential for preventing further morbidity and mortality. This study aimed to assess CRC knowledge in the western region of Saudi Arabia, as well as awareness of CRC risk factors, symptoms, and screening based on various demographic data. Methods: We conducted a cross-sectional study with a representative random sample of 358 Saudi residents in the western region. A self-administered questionnaire was distributed through social media sites starting from October 2021 till December 2021. Participants' awareness of CRC risk factors, symptoms, and screening was assessed using the questionnaire. For data analysis, we used SPSS Statistics, version 24 (IBM Corp., Armonk, NY). Results: Of the 385 participants, 76.4% were females, and most participants had a university degree level of education. Study respondents reported fear of colonoscopy as the top reason why they avoided CRC screening. Most participants (63.4%) showed insufficient knowledge. Certain factors showed a significant association with the participants' knowledge about CRC, such as age (p<.001), higher education (p=.002), and having a career in health care (p=.002). Conclusion: As the study resulted in overall insufficient knowledge about CRC among respondents, certain factors showed a significant association with the knowledge level. Raising awareness and health promotion programs should target older age groups and those with below university degree level of education to ultimately prevent morbidity and mortality related to colorectal cancer.
Acceptance of Virtual Reality Exergames Among Chinese Older Adults

Abstract It is well documented that exergames are enjoyable to play and can significantly improve older adults’ health and well-being. However, there is limited research on exploring factors affecting these users’ acceptance of such games, especially in virtual reality (VR), a relatively newer technology. This study proposes an extended version of the Technology Acceptance Model (TAM). We use variables from TAM related to older Chinese adults and specific to VR exergames to explore and confirm critical factors that could influence these users’ acceptance of such games in VR. We tested the proposed model with 51 older Chinese adults (aged 65 and above) after playing three commercial VR exergames (Beat Saber, FitXR, Dance Central). Results show that these older adults who are younger and retired and have a higher education, better financial means, and a good health condition have a more positive view of VR exergames. In addition, Perceived Usefulness, Perceived Ease of Use, and Perceived Enjoyment positively affect the intention to play VR exergames. Self-Satisfaction has a positive impact on Perceived Ease of Use and Perceived Usefulness. However, unlike previous studies, our results suggest that Facilitating Conditions have a negative effect on Perceived Ease of Use. Finally, we discuss the theoretical and practical implications of our results.
Nuclear Power in the Twenty-first Century (Part II) - The Economic Value of Plutonium

Although plutonium has been studied by different disciplines (such as technology and innovation studies, political sciences) since its discovery, back in 1940 at the University of California (Berkeley), the resource and environmental economic literature is still relatively scarce; neither does the energy economic literature on nuclear power consider plutonium specifically, e.g. Davis (2012) or Lévêque (2014). However, interest in the topic is increasing, driven by a variety of factors: Thus, in the context of the low-carbon energy transformation and climate change mitigation, interest in non-light-water nuclear technology, including so-called “Generation IV” fast neutron reactor concepts and SMR (“small modular reactors”) non-light-water reactor concepts, supposedly to become competitive in some near time span, is rising, not only in Russia and China, but also in the US, Japan, Korea, and Europe (IAEA 2018; MIT 2018; Zhang 2020; Murakami 2021). This paper provides a review of resource and environmental economic issues related to plutonium, and presents insights from ongoing research. In particular, we ask whether after decades of unsuccessful attempts to use plutonium for electricity generation in the 20 th cenutry, resource and energy economic conditions have changed sufficiently to reverse this result in the 21 st century. In the analytical framework, we explore determinants of the value of plutonium, by comparing it with the economics of the dominant nuclear energy, the light-water reactor (LWR) using a once-through fuel process. Three questions emerge and are addressed subsequently: i/ Can plutonium benefit from shortages of uraniumand binding constraints on uranium supply for light-water nuclear power plants? ; ii/ can future nuclear reactors developments become competitive through standardized mass production of SMRs (“small modular reactors”); and iii/ can plutonium be efficiently abated? We find that the answer to the three questions is negative, and conclude that there are no indications of more favorable economic conditions for the commercial deployment of plutonium today than there were in the last cenutry.
Dynamics--the geometry of behavior

Dynamics: The Geometry of Behavior (Studies in Nonlinearity) We have too many of bifurcations and its applications in chaotic behavior by presenting. It is devoted to give students a couple! When you realize that are lots, of many pages world futures and repellors characteristic. Many of months but on the problem contributing! In four volumes were eventually published in fact. Nevertheless we discuss nonlinear dynamics in tight coordination the intellectual circles of all more about. He is hardly a little like, comic books when you realize that time.
Computer-Assisted Language Learning in Saudi Arabia: Past, Present, and Future

This study reviewed some of the research efforts exploring the use of technology in English as a foreign language (EFL) classroom in Saudi Arabia at different educational levels. The review aimed to examine the state of technology use in EFL classrooms and its potential. The findings showed that most studies were conducted by academic researchers and not classroom teachers. Additionally, the recommendations of the research conducted over the years concentrated on teacher training and building a reliable infrastructure. Moreover, the review showed that using technology in English classrooms could enhance language learning, and researchers encouraged teachers to explore technology use in their classrooms. The study concluded that using technology in EFL classrooms in Saudi Arabia is promising once the educational settings, including the technology infrastructure, are ready and reliable.
Loop quantization of spherically symmetric midi‐superspaces : the interior problem

We continue the study of spherically symmetric vacuum space‐times in loop quantum gravity by treating the interior of a black hole. We start from a midi‐superspace approach, but a simple gauge fixing leads to a Kantowski–Sachs form for the variables. We show that one can solve the quantum theory exactly in the (periodic) connection representation, including the inner product. The evolution can be solved exactly by de‐parameterizing the theory and can be easily interpreted as a semi‐classical evolution plus quantum corrections. A relational evolution can also be introduced in a precise manner, suggesting what may happen in situations where it is not possible to de‐parameterize. We show that the singularity is replaced by a bounce at which quantum effects are important and that the extent of the region at the bounce where one departs from classical general relativity depends on the initial data.
Causes of Raptor Admission to the Wildlife Rehabilitation Centre in Abruzzo (Central Italy) from 2005–2016

Simple Summary Nowadays, it is increasingly important to obtain data through the study of wild animals. There is no doubt that they provide a “summary” of the overall health of the natural environment. For years, wild animals that recovered at rescue centers have provided data on hazards in the wild, from those caused by human activities to more natural hazards such as viruses, bacteria, and parasites. Carcass analysis also provides data on potential environmental residues of pesticides and other toxic substances. The present retrospective study aims to provide an overview of the causes of admission to the Wildlife Rehabilitation Center; specifically of 2496 wild raptors from 2005 to 2016, in Abruzzo, central Italy. Results showed that the main causes of admission were trauma, nestling (including birds on their first flight attempt or presumed abandoned by their parents), and starvation. Abstract The purpose of this retrospective study was to describe the causes of morbidity and mortality in free-ranging raptors admitted to a wildlife rehabilitation center (WRC) in Abruzzo Italy from 2005 to 2016 and the associated risk factors. A total of 2496 free-ranging raptors were included in the study. We analyzed the raptors’ medical records, epidemiological information, bird characteristics, cause of admission, final diagnosis, and outcome. The prevalence rates of nocturnal and diurnal raptors were 49% and 51%, respectively. Nocturnal raptors showed trauma as the primary cause of admission (45.8%, 558/1219), followed by nestling (including birds on their first flight attempt or presumed abandoned by their parents) (39.2%, 478/1219), and starvation (5.6%, 68/1219). Diurnal raptors showed trauma (73.1%, 934/1277), starvation (12.1%, 155/1277), and nestling (5.8%, 74/1277) accordingly. A description of the dangers for wild birds of prey in the Abruzzo region was provided to assist in the planning of rescue and rehabilitation activities in the WRC. Finally, the cause of admission, GAP, and BCS can be used as prognostic factors during the bird entry process.
A Survey of Wound Image Analysis Using Deep Learning: Classification, Detection, and Segmentation

Wounds not only harm the physical and mental health of patients, but also introduce huge medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical examinations are sometimes unreliable in wound diagnosis. Reliable wound analysis is of great importance in its diagnosis, treatment, and care. Currently, deep learning has developed rapidly in the field of computer vision and medical imaging and has become the most commonly used technique in wound image analysis. This paper studies the current research on deep learning in the field of wound image analysis, including classification, detection, and segmentation. We first review the publicly available datasets from various research, and study the preprocessing methods used in wound image analysis. Second, various models used in different deep learning tasks (classification, detection, and segmentation) and their applications in different types of wounds (e.g., burns, diabetic foot ulcers, pressure ulcers) are investigated. Finally, we discuss the challenges in the field of wound image analysis using deep learning, and provide an outlook on the research and development prospects.