Miracle-dz/UniFAR-FTUs huggingface dataset:
Concepts in Thermal Physics, 2nd ed., by Stephen J. Blundell and Katherine M. Blundell

Australia in 1956. In this context, I find it rather focused to some research interests of the author and Prof. R.B. Dingle in relation to Bose–Einstein condensation, which certainly is treated with rigour and depth. Accordingly, the book assumes almost from the beginning a high background in quantum physics, paying strong attention to quantum aspects of statistical physics. One of the strengths of the book is that it provides many worked examples of applications at the end of each chapter, though the main emphasis is put on the mathematical and theoretical aspects of the subject. I find the bibliography somehow limited, and it does not refer to many good references that have appeared in the last few years. The book offers a rather rigorous approach, which is good; however, I consider the mathematical level to be above the average for a bachelor degree today. I believe the book would benefit students with a background in physics and mathematics and with a higher degree of maturity. Consequently, I would recommend it for a graduate course where students would have a better background in mathematical methods and physics. I would say that a strong background in quantum physics would be very recommended to follow this course. The book is a useful contribution to the literature and can be used to teach a course on statistical physics, since one can find many interesting examples and exercises, some of them with worked solutions.
Evaluation of the Antibacterial Properties of Polyvinyl Alcohol-Pullulan Scaffolds Loaded with Nepeta racemosa Lam. Essential Oil and Perspectives for Possible Applications

Essential oil of Nepeta racemosa Lam. was extracted and characterized to determine its antimicrobial activity and potential use in applications. The essential oil was loaded on polyvinyl alcohol-pullulan films and gels and characterized by optical microscopy, scanning electron microscopy, and UV-Vis spectroscopy before having its antimicrobial capacities assessed. The essential oil extracted from Nepeta racemosa Lam. was characterized using gas chromatography coupled with mass spectroscopy, which indicated that the most abundant component was nepetalic acid (55.5%), followed by eucalyptol (10.7%) and other compounds with concentrations of about 5% or less. The essential oil, as well as the loaded films and gels, exhibited good antibacterial activity on both gram-positive and gram-negative strains, with growth inhibition zones larger in some cases than for gentamicin, indicating excellent premises for using these essential-oil-loaded materials for applications in the food industry or biomedicine.
Cardiovascular Magnetic Resonance Demonstrates Myocardial Inflammation of Differing Etiologies and Acuities in Patients with Genetic and Inflammatory Myopathies

Introduction. Myopathies are heterogeneous neuromuscular diseases of genetic and/or inflammatory etiology that affect both cardiac and skeletal muscle. We investigated the prevalence of cardiac inflammation in patients with myopathies, cardiovascular symptoms, and normal echocardiography using cardiovascular magnetic resonance (CMR). Methods. We prospectively evaluated 51 patients with various genetic (n = 23) and inflammatory (n = 28) myopathies (median age, IQR: 12 (11–15) years, 22% girls; 61 (55–65) years, 46% women, respectively) and compared their CMR findings to corresponding age- and sex-matched controls (n = 21 and 20, respectively) and to each other. Results. Patients with genetic myopathy had similar biventricular morphology and function to healthy controls but showed higher late gadolinium enhancement (LGE), native T1 mapping, extracellular volume fraction (ECV), and T2 mapping values. Collectively, 22 (95.7%) patients with genetic myopathy had a positive T1-criterion and 3 (13.0%) had a positive T2-criterion according to the updated Lake Louise criteria. Compared with healthy controls, patients with inflammatory myopathy showed preserved left ventricular (LV) function and reduced LV mass, while all CMR-derived tissue characterization indices were significantly higher (p < 0.001 for all). All patients had a positive T1-criterion, and 27 (96.4%) had a positive T2-criterion. A positive T2-criterion or T2-mapping > 50 ms could discriminate between patients with genetic and inflammatory myopathies with a sensitivity of 96.4% and a specificity of 91.3% (AUC = 0.9557). Conclusions. The vast majority of symptomatic patients with inflammatory myopathies and normal echocardiography show evidence of acute myocardial inflammation. In contrast, acute inflammation is rare in patients with genetic myopathies, who show evidence of chronic low-grade inflammation.
Finite element exterior calculus, homological techniques, and applications

Finite element exterior calculus is an approach to the design and understanding of finite element discretizations for a wide variety of systems of partial differential equations. This approach brings to bear tools from differential geometry, algebraic topology, and homological algebra to develop discretizations which are compatible with the geometric, topological, and algebraic structures which underlie well-posedness of the PDE problem being solved. In the finite element exterior calculus, many finite element spaces are revealed as spaces of piecewise polynomial differential forms. These connect to each other in discrete subcomplexes of elliptic differential complexes, and are also related to the continuous elliptic complex through projections which commute with the complex differential. Applications are made to the finite element discretization of a variety of problems, including the Hodge Laplacian, Maxwell’s equations, the equations of elasticity, and elliptic eigenvalue problems, and also to preconditioners.
Symmetric Circuit Layout With Decoupled Modular Switching Cells for Multiparalleled SiC mosfets

Parallel connection of silicon carbide metal-oxide-semiconductor transistors are widely used in large-current-capacity applications or power modules. However, current imbalance caused by the tolerance of device parameters or asymmetric circuit layout is still a challenge for the reliability of the paralleled devices. The asymmetry of power circuit layout is inevitable when more than two devices are paralleled, which will lead to serious dynamic current imbalance. In this article, an equivalently symmetric power circuit layout based on decoupled paralleled modular switching cells (MSCs) is presented. The current sharing mechanisms of typical asymmetric power circuit layouts are first illustrated. The layout with distributed dc decoupling capacitors turns out to have the potential to modify the current paths but requires further optimization. Based on the mechanisms, the construction of the symmetric layout with the concept of MSC is elaborated by mathematical analysis. DC decoupling capacitors are used to decouple the paralleled symmetric MSCs. Thereafter, the key considerations for the decoupling capacitors are discussed. Experiments are finally carried out to validate the analysis. The test results show that the peak current imbalance is reduced to only 4.1% by the equivalently symmetric power circuit layout, which confirms the effect of decoupled MSCs method.
Electron acceleration by parallel and perpendicular electric fields during magnetic reconnection without guide field

Electron acceleration due to the electric field parallel to the background magnetic field during magnetic reconnection with no guide field is investigated by theory and two‐dimensional electromagnetic particle‐in‐cell simulations and compared with acceleration due to the electric field perpendicular to the magnetic field. The magnitude of the parallel electric potential shows dependence on the ratio of the plasma frequency to the electron cyclotron frequency as (ωpe/Ωe)−2 and on the background plasma density as nb−1/2 . In the Earth's magnetotail, the parameter ωpe/Ωe∼9 and the background (lobe) density can be of the order of 0.01 cm−3, and it is expected that the parallel electric potential is not large enough to accelerate electrons up to 100 keV. Therefore, we must consider the effect of the perpendicular electric field to account for electron energization in excess of 100 keV in the Earth's magnetotail. Trajectories for high‐energy electrons are traced in a simulation to demonstrate that acceleration due to the perpendicular electric field in the diffusion region is the dominant acceleration mechanism, rather than acceleration due to the parallel electric fields in the exhaust regions. For energetic electrons accelerated near the X line due to the perpendicular electric field, pitch angle scattering converts the perpendicular momentum to the parallel momentum. On the other hand, for passing electrons that are mainly accelerated by the parallel electric field, pitch angle scattering converting the parallel momentum to the perpendicular momentum occurs. In this way, particle acceleration and pitch angle scattering will generate heated electrons in the exhaust regions.
Study on the Single Sheet Measurement Method for AC Magnetic Measurement on Grain-Oriented Electrical Steel

To quickly and accurately measure the AC magnetic properties of grain-oriented electrical steel by means of the existing measuring system designed for the magnetizing current method (MC), specifically the SST (92) single sheet method, in this work, the H-coil (HC) measuring system, which directly senses the magnetic field strength of the tested sample, was designed to measure the AC magnetic properties of the grain-oriented electrical steel. The assumed effective magnetic path length introduced in the MC method was corrected by comparing the measurement results obtained by means of HC and MC methods. The results found that specific total loss measured by the HC method was significantly lower than that measured by the classical magnetizing current (MC) method. Taking the HC method as the reference, the influencing factors of the effective magnetic path length was studied. It was found that the actual effective magnetic path length depends on the investigated sample characteristics, the measurement conditions, as well as yoke characteristics. The actual effective magnetic path length introduced in the MC method is examined to be more than 450 mm, fluctuating around 468 mm.
Sequences of random matrices modulated by a discrete-time Markov chain

Abstract In this work, we consider a number of matrix-valued random sequences that are modulated by a discrete-time Markov chain having a finite space. Assuming that the state space of the Markov chain is large, our main effort in this paper is devoted to reducing the computation complexity. To achieve this goal, our formulation uses time-scale separation of the Markov chain. The state-space of the Markov chain is split into subspaces. Next, the states of the Markov chain in each subspace are aggregated into a “super” state. Then we normalize the matrix-valued sequences that are modulated by the two-time-scale Markov chain. Under simple conditions, we derive a scaling limit of the centered and scaled sequence by using a martingale averaging approach. The study is carried out through a functional. It is shown that the scaled and interpolated sequence converges weakly to a switching diffusion.
Effects of Cram Schooling on Mathematics Performance: Evidence from Junior High Students in Taiwan

Cram schooling is believed by students and their parents to have positive effects on learning achievement in Taiwan. Using two waves of panel data gathered by the Taiwan Education Panel Study (TEPS) in 2001 and 2003 and the method of propensity score matching (PSM), the present research found that the average treatment effect for participants of mathematics cramming programs is fairly small. Moreover, the PSM analysis revealed that propensity to attend cram school, higher parental education level, and prior mathematics ability are all negatively related to effects of mathematics cramming.
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History

Touch is valued for supporting emotional bonds. How can people access its warmth and nuance remotely, when tech-mediated proxies are so different from direct touch? We assessed the viability of haptic animations as affect-embedded tactile messages, highlighting findings which demonstrate how crucial relationship and shared history is in influencing these expressions in design and interpretation. To investigate haptic messaging, we first identified a set of 10 common emotion-imbued scenarios by surveying 201 people in distance relationships. Then, using a novel prototype of a wearable spatial vibrotactile display, 10 intimate dyads designed 167 haptic encodings matching the provided scenarios plus 17 user-defined “wildcards”. A week later, 21 individuals interpreted sentiment from encodings designed by themselves, a partner or a stranger. We examined design strategies, engagement, and compared human versus machine interpretation accuracy. A striking finding was participants’ facile use of shared context when it was available, building on ”inside stories” to communicate subtle meanings with high effectiveness despite the unfamiliar medium, and doing so with evident fun. We analyze recognition accuracy and share insights on what it might take to make interpersonal haptic messaging work.
Testing the Null of Co‐integration in the Presence of Variance Breaks

Abstract. We show that changes in the innovation covariance matrix of a vector of series can generate spurious rejections of the null hypothesis of co‐integration when applying standard residual‐based co‐integration tests. A bootstrap solution to the inference problem is suggested which is shown to perform well in practice, redressing the size problems associated with the standard test but not losing power relative to the standard test under the alternative.
Efficient Equality Test on Identity-Based Ciphertexts Supporting Flexible Authorization

In the cloud, uploading encrypted data is the most effective way to ensure that the data are not leaked. However, data access control is still an open problem in cloud storage systems. To provide an authorization mechanism to limit the comparison of a user’s ciphertexts with those of another, public key encryption supporting the equality test with four flexible authorizations (PKEET-FA) is presented. Subsequently, more functional identity-based encryption supporting the equality test (IBEET-FA) further combines identity-based encryption with flexible authorization. The bilinear pairing has always been intended to be replaced due to the high computational cost. Hence, in this paper, we use general trapdoor discrete log groups to construct a new and secure IBEET-FA scheme, which is more efficient. The computational cost for the encryption algorithm in our scheme was reduced to 43% of that of the scheme of Li et al. In Type 2 and 3 authorization algorithms, the computational cost of both was reduced to 40% of that of the scheme of Li et al. Furthermore, we give proof that our scheme is secure against one-wayness under the chosen identity and chosen ciphertext attacks (OW-ID-CCA), and indistinguishable against chosen identity and chosen ciphertext attacks (IND-ID-CCA).
A clustering-based energy consumption evaluation method for process industries with multiple energy consumption patterns

ABSTRACT The production systems in process industries are confirmed to be tremendously energy-consuming, and the trust in promoting their energy efficiency has become a concern, with its precondition being to evaluate the real-time energy consumption. A widespread evaluation method is to develop a global model that employs energy audit techniques, whereas they are always carried out with few appreciations of multiple energy consumption patterns, and the utilization of energy consumption auxiliary information. To address the challenge, a two-stage clustering-based-energy consumption evaluation method is proposed for process industries in this study. Specifically, a novel structure of the fuzzy clustering method is designed with a mixture of unsupervised and semi-supervised learning stages that leverages the weighted information to independently address energy consumption patterns. Then energy consumption predictions are estimated for potential energy-optimized control. The key performance indicators of energy consumption are calculated for each pattern, and the final evaluation grade will be achieved through the fuzzy synthetic evaluation method. According to the experiment results, the proposed method delivers better evaluation results against baselines with more accurate clustering; it may provide a new thought for energy consumption evaluation and is confirmed to enable practitioners to acquire the potential benefits in engineering.
Bacterial Community Composition and Isolation of Actinobacteria from the Soil of Flaming Mountain in Xinjiang, China

In this work, bacterial community composition and actinobacteria resources were explored in extremely hot and hyper-arid areas of Flaming Mountain. This was achieved through a combination of PCR amplicon sequencing of bacterial 16S rRNA gene and cultivation-dependent isolation and characterization efforts. According to the high-throughput sequencing results and soil characteristics, 11 kinds of media were firstly designed to isolate actinobacteria, following the screening and identification of related strains. The results showed that a total of 2994 operational taxonomic units (OTUs) were obtained, involving 22 phyla, 77 orders and 121 genera. Among them, actinobacteria with the relative abundance of 8% ranked third, accounting for 33 genera and 47 species. A total of 132 strains distributed by eight families and 11 genera of actinobacteria were isolated from 11 media, of which six strains were potential new species. Furthermore, the functional characteristics of isolated strains were preliminarily evaluated. The results showed that the obtained strains generally had tolerance against heat, salt and alkali. Fifty-two strains had antibacterial activity, 69 strains could produce hydrolases, and 12.4% of the strains had quorum sensing inhibitory activity. The present study has laid a solid foundation for further understanding the bacterial diversity and exploiting actinobacteria resources in the Flaming Mountain area.
A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution

Summary. A useful discrete distribution (the Conway–Maxwell–Poisson distribution) is revived and its statistical and probabilistic properties are introduced and explored. This distribution is a two‐parameter extension of the Poisson distribution that generalizes some well‐known discrete distributions (Poisson, Bernoulli and geometric). It also leads to the generalization of distributions derived from these discrete distributions (i.e. the binomial and negative binomial distributions). We describe three methods for estimating the parameters of the Conway–Maxwell–Poisson distribution. The first is a fast simple weighted least squares method, which leads to estimates that are sufficiently accurate for practical purposes. The second method, using maximum likelihood, can be used to refine the initial estimates. This method requires iterations and is more computationally intensive. The third estimation method is Bayesian. Using the conjugate prior, the posterior density of the parameters of the Conway–Maxwell–Poisson distribution is easily computed. It is a flexible distribution that can account for overdispersion or underdispersion that is commonly encountered in count data. We also explore two sets of real world data demonstrating the flexibility and elegance of the Conway–Maxwell–Poisson distribution in fitting count data which do not seem to follow the Poisson distribution.
Kernel-based density estimation using censored, truncated or grouped data

Censoring, truncation and grouping represent different but related forms of incompleteness. Methods of producing kernel functions on the incomplete observations are proposed. They involve substituting for or averaging over the incomplete observations. Consistency of the procedures in terms of:the criterion of integrated mean squared error is established and optimal choice of smoothing parameter is achieved.
Identification of Yield-Limiting Nutrients for Sorghum (Sorghum bicolor (L.) Moench) Yield, Nutrient Uptake and Use Efficiency on Vertisols of Raya Kobo District, Northeastern Ethiopia

Agricultural productivity was negatively impacted by low soil fertility and uneven fertilizer application during crop cultivation in Ethiopia. Because of this, important crops frequently respond to fertilizer applications significantly below their achievable and potential yields. This study was carried out to determine the most sorghum yield-limiting nutrients in the Raya Kobo area of the Amhara Region in the 2020/21 crop season. Sorghum variety Girana-One was used as the test crop. Control, NPS, PSBZn, NPBZn, NSBZn, NPSB, NPSZn, NPSBZn, recommended NP, and NPSKBZn were treatments. Three replications of the experiment were used in a randomized complete block design. Before treatment application, a composite soil sample was collected at a depth of 0–20 cm to determine the soil’s physicochemical properties. To evaluate N and P uptakes, samples of sorghum stalk and grain were collected. SAS software was used to analyze the data. Results showed that, NPKSZnB produced a considerably greater grain yield (4620 kg·ha−1), whereas the control and N omitted plots produced the lowest grain yields (2759 kg·ha−1) and 2805 kg·ha−1, respectively. Nitrogen fertilizer missing plots showed a statistically significant yield drop compared to the other plots, and there was no statistically significant yield difference between the prescribed NP plots and the potassium, sulfur, boron, or zinc omitted plots. The plots treated with NPKSZnB had the highest agronomic efficiency for N (19.7 kg grain kg−1·N) and P (10.6 kg grain kg−1 P2O5). Therefore, research and development should therefore concentrate on nitrogen to achieve the best sorghum yield for the study location. Phosphorus might also be used to keep the fertility level within the ideal range.
Solving Transportation Problem with the help of Integer Programming Problem

The Transportation Problem is one of the subclass of linear programming problem which the objective is to minimize transportation cost of goods transport to various origins to different destinations. In this paper we are representing the transportation problem for Albert David Company to reduce transportation cost, its working with 3 plants and 14 depots in all over India. In [6][7] we are solve the transportation problem with the help of dual simplex and two phase method. Here we are solving this problem with the help of Branch and Bound Method of Integer programming Problem by using Tora software and we are comparing the obtained optimal solution with Vogel Approximation Method.
Two Frequency spectra of timoshenko beams

The necessity to reassess what is meant by the second spectrum and where and in what context it has to be assigned a separate meaning are considered presenting evidence that its usefulness is mainly to interpret the results obtained from an application of the Timoshenko beam theory to distinguish a set of physically meaningful results from a set that may only be an aberration arising from the structure of this beam theory.13;