Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Typhoon Track Prediction Based on Complex Features and Multitask Learning

Typhoons are common natural phenomena that often have disastrous aftermaths, particularly in coastal areas. Consequently, typhoon track prediction has always been an important research topic. It chiefly involves predicting the movement of a typhoon according to its history. However, the formation and movement of typhoons is a complex process, which in turn makes accurate prediction more complicated; the potential location of typhoons is related to both historical and future factors. Existing works do not fully consider these factors; thus, there is significant room for improving the accuracy of predictions. To this end, we presented a novel typhoon track prediction framework comprising complex historical features—climatic, geographical, and physical features—as well as a deep-learning network based on multitask learning. We implemented the framework in a distributed system, thereby improving the training efficiency of the network. We verified the efficiency of the proposed framework on real datasets.
Microbiological quality and presence of enteropathogenic bacteria in orange juice sold in popular markets

Abstract Worldwide, there are a large number of retailers in popular markets offering fresh orange juice, which is preferred for its nutritional and health value. Incorrect management during the preparation, the presence of pests, and inadequate environmental conditions can affect the microbiological quality of the juices sold in popular markets and can even make them a reservoir for enteropathogenic bacteria. The aim of this study was to evaluate the microbiological quality and presence of enteropathogenic bacteria in freshly prepared orange juice sold in popular markets, by quantifying the fungi, yeasts, aerobic mesophilic bacteria, and total and fecal coliforms. The fecal colonies were subjected to tests to confirm the presence of enteropathogenic bacteria. The results showed that none of the juice sold at popular markets had fungi, while all of them had yeasts, mesophilic bacteria, and total coliforms, and only 14% did not present fecal coliforms. The identification of the fecal bacteria was positive for E. coli and Salmonella. The microbiological quality of the orange juices sold in popular markets needs to be improved, since the high microbial load makes them a health risk.
Reed Solomon Codes Against Adversarial Insertions and Deletions

In this work, we study the performance of Reed-Solomon codes against adversarial insertion-deletion (insdel) errors.We prove that over fields of size nO(k) there are [n, k] Reed-Solomon codes that can decode from n – 2k + 1 insdel errors and hence attain the half-Singleton bound. We also give a deterministic construction of such codes over much larger fields (of size ${n^{{k^{O(k)}}}}$). Nevertheless, for k = O(log n/ log log n) our construction runs in polynomial time. For the special case k = 2, which received a lot of attention in the literature, we construct an [n, 2] Reed-Solomon code over a field of size O(n4) that can decode from n – 3 insdel errors. Earlier constructions required an exponential field size. Lastly, we prove that any such construction requires a field of size Ω(n3).
Effect of straight dough X pre-fermented dough method on composite wheat breads characteristics

In order to reduce the period of bread production straight dough method has been the most simple and used breadmaking method (Delcour & Hoseney, 2010). In this method all formula ingredients are mixed together, in order to develop the dough, and then rested, divided, fermented and finally baked. Most of bread researches papers used straight dough method (Alcântara et al., 2020b; Bárcenas et al., 2004; Bredariol et al., 2019; Carr et al., 2006; Datta et al., 2007; Purlis, 2010; Ureta et al., 2018; Wagner et al., 2008).
The degree of asymmetry of sequences

We explore the notion of degree of asymmetry for integer sequences and related combinatorial objects. The degree of asymmetry is a new combinatorial statistic that measures how far an object is from being symmetric. We define this notion for compositions, words, matchings, binary trees, and permutations, we find generating functions enumerating these objects with respect to their degree of asymmetry, and we describe the limiting distribution of this statistic in each case.
Transfer Learning Using VGG Based on Deep Convolutional Neural Network For Finger-Knuckle-Print Recognition

Transfer learning is an example of Convolutional Neural Network (CNN) method. It based to reusing a pre-trained model knowledge for another task. which used for image classification, feature extraction, and clustering problems. In this paper, we used two types of the pre-trained models VGG–16 and VGG-19 with deep convolutional neural network to extract the features of Finger-Knuckle-Print FKP images in order to develop an efficient multimodal identification system. The results obtained in this work show an excellent performance for unimodal and multimodal identification systems.
The nearly singular behavior of the 3D Navier-Stokes equations

Whether the 3D incompressible Navier–Stokes equations can develop a finite time singularity from smooth initial data is one of the most challenging problems in nonlinear PDEs. In this paper, we present some new numerical evidence that the 3D incompressible axisymmetric Navier–Stokes equations with smooth initial data of finite energy develop nearly singular solutions at the origin. This nearly singular behavior is induced by a potential finite time singularity of the 3D Euler equations that we reported in [20]. One important feature of the potential Euler singularity is that the solution develops nearly self-similar scaling properties that are compatible with those of the 3D Navier–Stokes equations. We will present numerical evidence that the 3D Navier–Stokes equations develop nearly singular scaling properties with maximum vorticity increased by a factor of 107. Moreover, the nearly self-similar profiles seem to be very stable to the small perturbation of the initial data. However, the 3D Navier–Stokes equations with our initial data do not develop a finite time singularity due to the development of a mild two-scale structure in the late stage, which eventually leads to viscous dominance over vortex stretching. To maintain the balance between the vortex stretching term and the diffusion term, we solve the 3D Navier–Stokes equations with a time-dependent viscosity roughly of order O( | log(T − t) |−3) in the late stage. We present strong numerical evidence that the 3D Navier–Stokes equations with such time-dependent viscosity develop a finite time singularity.
STRUCTURAL CHARACTERISTICS OF DEHYDRATED PHASE OF HARDENED CEMENT PASTE AND ITS REHYDRATING ABILITY

Hardened cement paste was calcined at different low temperatures, and various dehydrated phases were acquired. Ther-mogravimetric–differential scanning calorimeter (TG–DSC), X-ray diffraction, infrared and 29Si nuclear magnetic resonance were used to investigate the structural characteristics, rehydration ability and rehydrating products structure of dehydrated phases prepared at 400, 650 ℃ and 900 ℃. The results show that, at 400 ℃, amorphous phase was generated in the dehydrating process of calcium silicate hydrate (C–S–H) gel. At 650 ℃, incompletely crystallized β-dicalcium silicate (C2S) was produced, and at 900 ℃, well-crystallized β-C2S was acquired. In the rehydration process, the dehydrated phases prepared at 400 ℃ and 650 ℃ reacted with water and produced C–S–H gel; the hydration activity of the latter, and the polymerization level of its hydration product were higher. However, the dehydrated phase prepared at 900 ℃ showes little rehydration ability; there is almost no change in the structural charac-teristic before and after the hydration process.
Validity and Accuracy of Resonance Shift Prediction Formulas for Microcantilevers: A Review and Comparative Study

ABSTRACT This article provides a review of methods of predicting mass-induced resonance shifts in microcantilevers. It combines a review of factors that influence resonance frequency shifts, such as material properties, size effects, and support compliance with a comparative study of accuracy of predicting resonance shifts due to mass adsorption. The applicability and accuracy of widely used formulas to correlate mass addition with resonance shift are assessed through comprehensive comparison with experimental measurements and numerical methods. The methods include both distributed parameter and lumped parameter formulations. The applications include distributed added masses, tip masses, and added mass at arbitrary locations along a cantilever span.
JSTP-06-2020-0118_proof 366..395

Purpose – The purpose of this study is to identify the practices used by service providers to manage the customer service experience (CSE) across multiple phases of the customer journey in a business-to-business (B2B) setting. Design/methodology/approach –This study comprises an ethnography that investigates in real time, from a dyadic perspective, and the CSE management practices at two service providers operating in knowledgeintensive service industries over a period of eight months. Analytically, the study concentrates on critical events that occurred in phases of the customer journey that in someway alter CSE, thusmaking it necessary for service providers to act to keep their customers satisfied. Findings – The study uncovers four types of service provider practices that vary based on the mode of organization (ad hoc or regular) and the mode of engagement (reactive or proactive) and based on whether they restore or bolster CSE, including the recurrence of these practices in the customer journey. These practices are conveniently presented in a circumplex typology of CSEmanagement across five phases in the customer journey. Research limitations/implications – This paper advances the research in CSE management throughout the customer journey in the B2B context by showing that CSE management is dynamic, recurrent and multifaceted in the sense that it requires different modes of organization and engagement, notably during interaction with customers, in different phases of the customer journey. Practical implications – The circumplex typology acts as a tool for service providers, helping them to redesign their CSE management practices in ongoing service and dialogical processes to keep their customers more engaged and satisfied. Originality/value – This paper is the first to infuse a dyadic stance into the ongoing discussion of CSE management practices in B2B, in which studies to date have deployed only provider or customer perspectives. In proposing a microlevel view, the study identifies service providers’ CSE management practices in multiple customer journey phases, especially when the situation becomes critical.
Efficacy and Biomarker Analysis of Adavosertib in Differentiated Thyroid Cancer

Simple Summary Adavosertib is a first-in-class Wee1 inhibitor that has demonstrated activity against certain cancers. We evaluated the effects of adavosertib in treating differentiated thyroid cancer (DTC) using four DTC cell lines (BHP7-13, K1, FTC-133, FTC-238). Adavosertib accumulated cells in the G2/M phase and induced apoptosis in four DTC cell lines. Baseline Wee1 levels correlated with adavosertib sensitivity. Single-agent adavosertib therapy was sufficient to inhibit the growth of K1 and FTC-133 tumor models. Adavosertib potentiated the anti-tumor effect of dabrafenib and trametinib in K1 xenografts harboring the BRAFV600E mutation, with promising safety profiles. Adavosertib also improved the anti-tumor efficacy of lenvatinib in FTC-133 xenografts. Our results suggest the clinical efficacy of adavosertib for DTC patient therapy. Abstract Differentiated thyroid cancer (DTC) patients are usually known for their excellent prognoses. However, some patients with DTC develop refractory disease and require novel therapies with different therapeutic mechanisms. Targeting Wee1 with adavosertib has emerged as a novel strategy for cancer therapy. We determined the effects of adavosertib in four DTC cell lines. Adavosertib induces cell growth inhibition in a dose-dependent fashion. Cell cycle analyses revealed that cells were accumulated in the G2/M phase and apoptosis was induced by adavosertib in the four DTC tumor cell lines. The sensitivity of adavosertib correlated with baseline Wee1 expression. In vivo studies showed that adavosertib significantly inhibited the xenograft growth of papillary and follicular thyroid cancer tumor models. Adavosertib therapy, combined with dabrafenib and trametinib, had strong synergism in vitro, and revealed robust tumor growth suppression in vivo in a xenograft model of papillary thyroid cancer harboring mutant BRAFV600E, without appreciable toxicity. Furthermore, combination of adavosertib with lenvatinib was more effective than either agent alone in a xenograft model of follicular thyroid cancer. These results show that adavosertib has the potential in treating DTC.
THE EVALUATION OF CORROSION BEHAVIOUR OF Al/Y2O3 NANO COMPOSITES BY POWDER METALLURGY AT ROOM AND ELEVATED TEMPERATURE

In this study, Al / Y2O3 metal matrix nanocomposites (2 and 4 wt. %) were fabricated by powder metallurgy route. The microstructure and density of the fabricated samples were investigated. Microstructure characterization shows that the homogenous distribution of particulates was achieved. Furthermore, the corrosion behaviour of the samples was systematically investigated in 1 M HCl solution by potentiodynamic and immersion tests for temperature of 20°C and 50 °C. In order to understand the corrosion mechanisms, SEM study was performed. The potentiodynamic corrosion test results show that Al / 4Y2O3 composite has the best corrosion performance at room temperature. After the immersion tests, the weight loss of the composites has higher than that of pure Al at elevated temperature (50 oC). Pitting and grain boundary corrosion were observed. The wear tests were performed for the samples under dry sliding conditions. The addition of Y2O3 particles give rise to significant increase in wear performance.
The Be Phenomenon

An overview of the Be phenomenon is given with particular emphasis on the problem of the mass loss mechanism. We assume that the principal mechanism of mass loss in these stars is magneto-centrifugal acceleration (MCA). Within this framework, we discuss how particular features of Be stars which distinguish them from normal B stars can be understood. The frequency distribution of Be stars relative to normal B stars in the Galaxy and Magellanic Clouds is discussed. The distri bution of equatorial velocities, activity in the visual and X-ray regions and photospheric activity all point towards a magnetic model and seem to be qualitatively consistent with the MCA hypothesis. Periodic varia tions in light and line profiles offer particularly important clues. In this respect, the recent discovery of co-rotating photospheric clouds in several Be stars strongly suggests gas trapped in closed field lines. We investigate the dynamics of an outburst and suggest that the localized nature of these events imply magnetic flaring and acceleration of mass due to connection and disconnection of field lines. Finally, suggestions for further progress are presented.
The Mechanistic Action of Biosynthesised Silver Nanoparticles and Its Application in Aquaculture and Livestock Industries

Simple Summary Silver nanoparticles (AgNPs) have been employed in various fields of studies due to their impeccable ability as an antibacterial, antifungal and antiviral agent. AgNPs are generally synthesised via three methods, which are the chemical, physical and biological methods, with the biological method being the preferred method recently due to the capability of synthesizing nanoparticles of various shapes and sizes to enhance antimicrobial activity and reduced environmental effects. In recent years, AgNPs have been employed in the aquaculture, livestock and poultry industries to combat pathogens. This review is centred on the cytotoxic mechanistic action of AgNPs, which contributes to its application against pathogens in the aquaculture, livestock and poultry industries. Abstract Nanotechnology is a rapidly developing field due to the emergence of various resistant pathogens and the failure of commercial methods of treatment. AgNPs have emerged as one of the best nanotechnology metal nanoparticles due to their large surface-to-volume ratio and success and efficiency in combating various pathogens over the years, with the biological method of synthesis being the most effective and environmentally friendly method. The primary mode of action of AgNPs against pathogens are via their cytotoxicity, which is influenced by the size and shape of the nanoparticles. The cytotoxicity of the AgNPs gives rise to various theorized mechanisms of action of AgNPs against pathogens such as activation of reactive oxygen species, attachment to cellular membranes, intracellular damage and inducing the viable but non-culturable state (VBNC) of pathogens. This review will be centred on the various theorized mechanisms of actions and its application in the aquaculture, livestock and poultry industries. The application of AgNPs in aquaculture is focused around water treatment, disease control and aquatic nutrition, and in the livestock application it is focused on livestock and poultry.
Alzheimer Disease and Music-Therapy: An Interesting Therapeutic Challenge and Proposal

Aim: The aim of this study is to highlight the effectiveness of music therapy in Alzheimer’s Disease (AD) and their caregivers. Methods: The biennial 2019 to 2020, 32 patients, with AD (ICD-10), were examined, by a research group composed by a Neurologist, a GP and a Music-psychotherapist. All patients were under pharmaceutical care. The patients’ medical record and musical profile was assessed. The answers were provided by the patients themselves or by their tutors. Then, personal or family sessions were organized with the participation of musical instruments. The patients staging and evaluation were made through MMSE. The test was repeated every six months under the Neurologist’s supervision. Finally, 31 totally patients succeeded to complete our intervention and to be estimated. Results: The duration of follow-up of the patients was 30 months. At the beginning and end of the sessions we obtained the following data: In a total of 32 patients with AD, initially 3 patients (9.37%) had Mild AD, 19 patients (59.37%) had Moderate AD, 10 patients (31.25%) severe AD, based on the MMSE evaluation. After 30 months, 11 patients had Mild AD (35.48%), number resulting from the music benefit of cognitive function in patients with moderate AD. 15 patients with Moderate AD (48.38%) were observed, out of the initial 19 (59.37%) patients with Moderate AD, a number attributed to the sum of patients who improved from severe AD and those who were transferred, benefiting from treatment, from Moderate AD disease to Mild AD. Finally 5 patients with severe AD disease were evaluated (16.12%), while before the treatment we had 10 patients (31.25%) with severe AD. Conclusions: Music therapy is a tool to increase the life quality of the participants. The results expected in the treatment of AD are obtained by means of good collaboration among the research team.
Fish diversity monitoring in Maninjau Lake, West Sumatra using the eDNA with the next generation sequencing (NGS) technique

Various phenomena in nature and human activities have resulted in the loss of biodiversity, such as freshwater fish in Maninjau lake, West Sumatra, which has declined from year to year. A new method to monitor biodiversity quickly and efficiently is the NGS technique on environment DNA (eDNA). The study aimed to know the NGS technique’s ability and effectiveness to detect multiple species at one time from the water samples of Maninjau Lake. Water was taken from the surface as much as one L with two replications. The sequencing was used to identify species as shotgun metagenomic with universal primers. The results showed that 92 individuals were identified with 56 species from 24 genera, 16 families, and 12 orders. As much as 25% of fishes still cannot be grouped into the valid taxa (unclassified), which is allegedly related to the lack of available information database (NCBI) compared to the sequences obtained. NGS on the eDNA method detected two families (Cyprinidae and Cichlidae), three genera (Oreochromis, Cyprinus, and Xiphophorus), and two species of fish (Oreochromis niloticus and Cyprinus carpio) in Maninjau Lake, which were also previously reported using the conventional method. The native species were not detected in Maninjau lake by the eDNA method allegedly due to not being captured DNA from the collected water samples or the low DNA concentration, which cannot be continued to the PCR process. Thus, several efforts are needed to reduce the limitations in monitoring using the eDNA method to obtain the maximal results. The eDNA method can be a useful tool for monitoring biodiversity. The result can determine the conservation strategies, especially for the fishes in Maninjau Lake, West Sumatra.
The attributes of the Spin-Charge-Family theory giving hope that the theory offers the next step beyond the Standard Model

The assumptions of the standard model are still waiting for an explanation. The spin-charge-family theory is promising in offering not only the explanation for the standard model postulates for quarks and leptons and vector and scalar gauge fields, but also for the cosmological observations, like there are the appearance of the dark matter, the matter-antimatter asymmetry, making several predictions. This theory assumes that the internal space of fermions (spins, handedness and all the charges) are described by the Clifford algebra in d > (13 + 1)-dimensional space, representing in d = (3 + 1) all by the standard model required properties of quarks and leptons and antiquarks and antileptons, with families included. Fermions interact with gravity only (the vielbeins and the two kinds of the spin connection fields), manifesting in d = (3 + 1) as all the vector gauge fields and the scalar gauge fields (higgs scalars and Yukawa couplings). In this talk I overview shortly the achievements of the spin-charge-family theory so far, explaining in particular the new way of the second quantization of fermions, offered by the description of the internal space of fermions with the anticommuting Clifford algebra objects of the odd character.