Miracle-dz/UniFAR-FTUs huggingface dataset:
SVIR Epidemic Model with Non Constant Population

In this article, we present an SVIR epidemic model with deadly deseases and non constant population. We only discuss the local stability analysis of the model. Initially the basic formulation of the model is presented. Two equilibrium point exists for the system; disease free and endemic equilibrium point. The local stability of the disease free and endemic equilibrium exists when the basic reproduction number less or greater than unity, respectively. If the value of R0 less than one then the desease free equilibrium point is locally asymptotically stable, and if its exceeds, the endemic equilibrium point is locally asymptotically stable. The numerical results are presented for illustration.
Acidic nanoparticles restore lysosomal acidification and rescue metabolic dysfunction in pancreatic β-cells under lipotoxic condition

Type 2 diabetes (T2D), a prevalent metabolic disorder lacking effective treatments, is associated with lysosomal acidification dysfunction as well as autophagic and mitochondrial impairments. Here, we report a series of biodegradable poly(butylene tetrafluorosuccinate-co-succinate) (PBFSU) polyesters, comprising an 1,4-butanediol linker and varying ratios of tetrafluorosuccinic acid (TFSA) and succinic acid as components, to engineer new lysosome acidifying nanoparticles (NPs). Notably, TFSA NPs, which composed entirely of TFSA, exhibit the strongest degradation capability and superior acidifying property. We further reveal significant downregulation of lysosomal vacuolar (H+)-ATPase (V-ATPase) subunits, which are responsible for maintaining lysosomal acidification, in human T2D pancreatic islets and INS-1 β-cells under lipotoxic condition. Treatment of TFSA NPs counteracts lipotoxicity in INS-1 β-cells by restoring lysosomal acidification, autophagic function, and mitochondrial activity, along with promoting glucose-stimulated insulin secretion. Administration of TFSA NPs to high-fat diet T2D mice improves glucose clearance and reduces insulin resistance. These findings highlight the therapeutic potential of lysosome acidifying TFSA NPs for T2D. Graphical Table of Contents
Predictions and errors are distinctly represented across V1 layers

‘Predictive processing’ frameworks of cortical functioning propose that neural populations in different cortical layers serve distinct roles in representing the world. There are distinct testable theories within this framework that we examined with a 7T fMRI study, where we contrasted responses in primary visual cortex (V1) to expected (75% likely) and unexpected (25%) Gabor orientations. Multivariate decoding analyses revealed an interaction between expectation and layer, such that expected events could be decoded with comparable accuracy across layers, while unexpected events could only be decoded in superficial laminae. These results are in line with predictive processing accounts where expected virtual input is injected into deep layers, while superficial layers process the ‘error’ with respect to expected signals. While this account of cortical processing has been popular for decades, such distinctions have not previously been demonstrated in the human sensory brain. We discuss how both prediction and error processes may operate together to shape our unitary perceptual experiences.
Expedite Flow Completion on High Speed Network Through Protocols

-It has been proved by a lot of researchers that the present operation of TCP which is the main internet control protocol will suffer poor performance in future high speed networks. It has also been established that performance issues are very crucial in computer networks, for example when many computers are interconnected, complex interactions arise with unforeseen consequences. This complexity leads to degradation of performance if the system is not managed properly. Yet research on congestion control focuses almost entirely on maximizing link throughput, utilization and fairness, which matter more to the operator than the user. To arrest the situation, various factors which affect network performance were examined. Characteristics of congestion Control Protocols were described. Congestion Control Protocols like Transmission Control Protocol (TCP) and Explicit Congestion Protocol (XCP)were evaluated. The proposed congestion control protocol, Rate Congestion Protocol (RCP) was also evaluated. Then NS2 simulator was used under different scenarios to evaluate the performance of RCP and the aforementioned protocols to prove that RCP outperforms them in terms of expediting flows.
A regularization algorithm for registration of deformable surfaces

The registration of two surfaces is finding a geometrical transformation of a template surface to a target surface. The transformation combines the positions of the semantically corresponding points. The transformation can be considered as warping the template onto the target. To choose the most suitable transformation from all possible warps, a registration algorithm must satisfies some constraints on the deformation. This is called regularization of the deformation field. Often use regularization based on minimizing the difference between transformations for different vertices of a surface. The variational functional consists of the several terms. One of them is the functional of the ICP (Iterative Closest Point algorithm) variational subproblem for the point-to-point metric for affine transformations. Other elements of the functional are stiffness and landmark terms. In proposed presentation we use variational functional based on the point-toplane metric for affine transformations. In addition, the use of orthogonal transformations is considered. The proposed algorithm is robust relative to bad initialization and incomplete surfaces. For noiseless and complete data, the registration is one-to-one. With the help of computer simulation, the proposed method is compared with known algorithms for the searching of optimal geometrical transformation.
Form, Symmetry and Asymmetry of the Dental Arch: Orthogonal Analysis Revisited

There have been numerous attempts to quantify the shape of the dental arch mathematically, with orthogonal polynomial curves providing a robust and versatile method for quantifying variation in both shape and asymmetry. Lu (1966) first presented the theoretical basis for fitting orthogonal polynomials to arch shape data. Whilst theoretically sound, Lu’s original paper contained several arithmetic errors and a number of incorrect assumptions. In this paper we present corrections for these errors and extrapolate the theory to unequally-spaced arch shape data using a simple recursive procedure first developed by Robson (1959).
Compact Rotman lens-fed slot array antenna with low sidelobes

A slot array in substrate-integrated waveguide (SIW) technology fed by a microstrip Rotman lens is proposed. This compact multibeam antenna is designed in two layers using a novel transition based on double-stepped coupling slots on the broad wall of SIWs. Compared with a rectangular transverse coupling slot, this transition is broadband and its coupling power can be controlled for low-sidelobe applications. The radiating part is a 10 × 10 slot array and the beam-forming network can generate seven beams with good coverage from −30° to 30° in the azimuthal plane. To validate the proposed concept, an antenna prototype is implemented at 10 GHz. The frequency response and measured radiation patterns are in good agreement with simulated results provided by full wave simulation software. Experimental results show that the sidelobe level is lower than −21 dB for the central beam in both H and E planes and better than −18 dB for the edge beams.
Review Nucleolus, Ribosomes, and Cancer

The complex aspects linking the nucleolus and ribosome biogenesis to cancer are reviewed here. The available evidence indicates that the morphological and functional changes in the nucleolus, widely observed in cancer tissues, are a consequence of both the increased demand for ribosome biogenesis, which characterizes proliferating cells, and the changes in the mechanisms controlling cell proliferation. In fact, the loss or functional changes in the two major tumor suppressor proteins pRB and p53 cause an up-regulation of ribosome biogenesis in cancer tissues. In this context, the association in human carcinomas of nucleolar hypertrophy with bad prognoses is worthy of note. Further, an increasing amount of data coming from studies on both hepatitis virus-induced chronic liver diseases and a subset of rare inherited disorders, including X-linked dyskeratosis congenita, suggests an active role of the nucleolus in tumorigenesis. Both an up-regulation of ribosome production and changes in the ribosome structure might causally contribute to neoplastic transformation, by affecting the balance of protein translation, thus altering the synthesis of proteins that play an important role in the genesis of cancer. (Am J Pathol 2008, 173:301–310; DOI: 10.2353/ajpath.2008.070752)
Remixing OSM maps using recurrent neural networks

: Generation of random realistic maps is a highly desirable content creation method for entertainment industry. Neural networks provide powerful computational capabilities proven useful in many fields. This thesis describes an algorithm that adapts real-world data to train Recurrent Neural Networks (RNNs) inspired by the pixel RNNs. An algorithm is constructed to generate a map of altitudes, roads, rivers and buildings. The results are tested and evaluated on multiple selected real-world regions. It shows the ability of RNNs to learn and create random realistic maps. Algorithm generates realistic altitude maps reflecting user input and training dataset. The creation of roads and rivers was met with weaker results. The creation of buildings was met with unsatisfactory results.
Oxidative stability of olive oils with supercritical carbon dioxide extracts of olive leaf

In this study, quality parameters and oxidative stability of olive oils added with olive leaf (OL), an agricultural by-product extracted by the supercritical carbon dioxide (SCD) method, were evaluated. The SCD OL extraction method was applied at 100°C, 100 bar and 80 minutes. Extracts containing phenolic substances obtained from olive leaves were added to refined olive oil (ROO) (E) at concentrations of 350 (A), 200 (B), 150 (C) and 60 mg CAE/kg oil (D). Olive oil samples were stored in clear glass bottles for 12 months under light (L) and dark (D) conditions. Samples were analysed at 0, 3, 6, 9 and 12 months of storage period. The results of the analyses revealed that the amount of free fatty acid values (FFAV), peroxide value (POV), total phenolic content (TPC), chlorophyll (TChl) and carotenoid (TCar) content and oxidative stability index (OSI) increased as the olive leaf extract (OLE) addition ratio increased. When the effect of OLE concentration on the amount of α -tocopherol was examined, it was determined that the amount of α -tocopherol was higher in ROO (E) and this amount decreased with the addition of OLE. In the samples which OLE was added, odours like alcohol, henna and dried herbs were detected as a result of sensory analysis. Principal component analyses (PCA) indicated that olive oils were discriminated clearly based on the concentrations of OLEs. As a result, it was determined that the TPC, TChl and TCar content and OSI values were the highest in the A sample, which was stored in the dark and had the highest OLE content. Sample A, which is rich in antioxidant components, can be said to be the best example enriched with OLE, apart from sensory properties. In terms of the content of AT, which is equivalent to vitamin E, we can say that the E sample stored in the dark has the best properties except for the sensory properties.
EngineeringDepartment of Electromagnetic Field Broadband Extraction of Sample Permittivity from Microwave Planar Passive Devices Measurements

Knowledge of the electromagnetic properties of biomolecules is important for the understanding of the interaction of electric fields with biosystems and for the development of novel biomedical diagnostic and therapeutic methods. However, developments in this field are hampered by the large sample volumes required for permittivity extraction. The aim of this work is to propose a novel method for obtaining a broadband complex permittivity based on a conductor–backed coplanar waveguide. The main advantage of this method is the ability to measure the dielectric properties of extremely small sample volumes (in the order of μL), approximately 20 times smaller than with commercially available methods. The method is then tested in real life on measured S–parameters of an aqueous solution of selected biomolecules (L-alanine and L-cysteine) with different concentrations in the frequency band 1.5 – 50 GHz. The extracted permittivity is then compared with the permittivity values obtained by another independent reference method.
Properties of concrete containing high-calcium fly ash artificial aggregate

The work aims to develop a concrete mixture with cold-bonded fly ash aggregate based on high-calcium fly ash and experimentally study its physical and mechanical properties. The results of experimental studies of concrete with artificial coarse aggregate based on fly ash from Berezovskaya Thermal Power Plant showed compressive strength of 28.92 MPa, flexural strength of 4 MPa, coefficient of linear thermal expansion of 14.5 * 10−6 K−1, modulus of elasticity of 16 *109 Pa, heat of hydration on the 10th day - 340 kJ/kg, shrinkage deformation of −1.8 mm/m. It has been established that heat treatment of fly ash aggregate for 8 hours at a temperature of 80 °C after 7 days of air storage did not positively affect the physical and mechanical properties of concrete. The compressive strength at the age of 28 days and the modulus of elasticity of the specimens with coarse aggregate after heat treatment were lower by 41% than that of the control mixture.
SIT Digital Collections SIT Digital Collections

Bacalhau is a typical Portuguese dish highly consumed by the population. Bacalhau is the Portuguese word for dried and salted cod, and is a key ingredient in so many iconic Portuguese dishes. Despite its elevated status in Portugese food culture, bacalhau is fished in the cold Northern Atlantic waters far from the Portuguese coast. This study explores this tension between reionalities, and assesses the environmental impacts of Portuguese bacalhau importation and production. A life cycle assessment methodology is employed to assess an array of environmental impacts over the product’s lifetime. The results show that the curing stage of production is responsible for the vast majority of environmental impacts, followed by the capturing stage of production. This research recommends improving factory efficiency and adjusting fishing techniques to reduce the ecological impact of bacalhau production and ultimately cement its sustainability as an iconic Portuguese dish.
The Associations Between Circadian Genetic Factors And Cancer Survival

The circadian rhythm controls a range of important biological behaviors with a 24-hour cycle. The mammalian biological clock is a layered network of vibrators with a master clock locating in the neurons of suprachiasmatic nucleus (SCN) in the hypothalamus and a set of core and related circadian genes. Several lines of evidence from previous studies suggested the relationships between tumorigenesis and circadian rhythm disruption. However, the effects of circadian genetic factors in cancer survival remains uncertain. Therefore, it is important to review and explore the circadian genetic factors which might be linked to cancer survival. This paper aimed to evaluate the potential associations between circadian genetic factors and cancer survival by summarizing 30 epidemiological studies and searching 2 databases. The circadian genetic factors identified included both gene expression and SNPs. Our results showed that 16 circadian genes, PER1, PER2, PER3, CRY1, CRY2, BMAL1, CLOCK, NPAS2, NPAS3, TIMELESS, RORA, RORC, NR1D2, CK1ε, DEC1 and TIPIN, were significantly related to cancer survival across several types of cancer. The associations between circadian genes and cancer survival differed among different genes and cancer types.
Season results on the norm and thus in vitro development estimation of Bubalus bubalis

Abstract Recent advances in in vitro maturation, fertilization and culture technology allowed progress in an increasing the number of off springs produced from genetically superior females but this progress still has important factors affect the yielding and quality of the oocytes. It was referred that, there is a distinct similarity in season profile between an in vitro and in vivo reproductive traits. The influence of season on oocyte quality has been largely considered, as a factor of high impact. The purpose of this paper was to study the effects of season on the quality of oocytes and its relationship with cumulus cells expansion, maturation and developmental rates of in vitro maturation of Egyptian buffalo oocytes. The main goal of our investigation was shown to evaluate the role of change in the temperature during the year on the buffalo and consequently affecting the quality of their oocytes. The results showed significant differences between the four seasons. In spring and winter, the percentage of good quality oocytes was (71 and 74.6%), denuded oocytes was (12.8 and 9.1%) and the fair type of oocytes was (16.3 and 16.3%) respectively. Consequently the maturation rate was 85.5 and 92.5% respectively. While in summer and autumn, the percentage of good quality oocytes was (50 and 56.9%) instead of denuded oocytes was (25.5 and 18.5%) and the fair type of oocytes was (24.4 and 21.5%) respectively. Consequently the maturation rate was 59.6 and 74.5% respectively. The results revealed that, when the percentage of good oocytes increased, cumulus expansion and the maturation rate had increased. The higher degeneration of oocytes in the hot period reflects their lower developmental competence of oocytes compared with recovered in the cool environmental conditions.
Exploring the use of optical flow for the study of functional NIRS signals

Near infrared spectroscopy (NIRS) is an optical imaging technique that allows real-time measurements of Oxy and Deoxy-hemoglobin concentrations in human body tissue. In functional NIRS (fNIRS), this technique is used to study cortical activation in response to changes in neural activity. However, analysis of activation regions using NIRS is a challenging task in the field of medical image analysis and despite existing solutions, no homogeneous analysis method has yet been determined. For that reason, the aim of our present study is to report the use of an optical flow method for the analysis of cortical activation using near-infrared spectroscopy signals. We used real fNIRS data recorded from a noxious stimulation experiment as base of our implementation. To compute the optical flow algorithm, we first arrange NIRS signals (Oxy-hemoglobin) following our 24 channels (12 channels per hemisphere) head-probe configuration to create image-like samples. We then used two consecutive fNIRS samples per hemisphere as input frames for the optical flow algorithm, making one computation per hemisphere. The output from these two computations is the velocity field representing cortical activation from each hemisphere. The experimental results showed that the radial structure of flow vectors exhibited the origin of cortical activity, the development of stimulation as expansion or contraction of such flow vectors, and the flow of activation patterns may suggest prediction in cortical activity. The present study demonstrates that optical flow provides a power tool for the analysis of NIRS signals. Finally, we suggested a novel idea to identify pain status in nonverbal patients by using optical flow motion vectors; however, this idea will be study further in our future research.
EVALUATION OF DEPRESSION SCREENING AND INTERVENTION PROGRAMS FOR THE ELDERLY IN QUANG NGAI, VIETNAM

According to a survey published by the National Center for Health Statistics, depression can affect people of any age, but the prevalence of the condition was shown to be second greatest among people aged 65 and older. The most significant repercussion of late-life depressed syndrome is an increase in the overall death rate, which can be attributed to either suicide or other illnesses. The primary objective of this research is to evaluate the im - pacts of depression caused by biological factors, interpersonal variables, and other socially linked factors on Vietnamese senior people. The Geriatric Depression Scale (GDS-15) was used to evaluate and screen the elderly for signs of geriatric depression in the final data set, which included 630 males (40.1% of the total) and 942 females (59.9% of the total). The participants ranged in age from 60 to 80 years and were all older than that. The most important findings revealed that aspects of this study, such as gender and the amount of time spent sleeping each day, had the potential to operate as predictors of elderly depression. ASEAN Journal of Psychiatry, Vol. 24 (5) May, 2023; 1-9 .
Testing the Multivariate Regular Variation Model

Abstract In this article, we propose a test for the multivariate regular variation (MRV) model. The test is based on testing whether the extreme value indices of the radial component conditional on the angular component falling in different subsets are the same. Combining the test on the constancy across extreme value indices in different directions with testing the regular variation of the radial component, we obtain the test for testing MRV. Simulation studies demonstrate the good performance of the proposed tests. We apply this test to examine two datasets used in previous studies that are assumed to follow the MRV model.
Investigating the Prevalence of RNA-Binding Metabolic Enzymes in E. coli

An open research field in cellular regulation is the assumed crosstalk between RNAs, metabolic enzymes, and metabolites, also known as the REM hypothesis. High-throughput assays have produced extensive interactome data with metabolic enzymes frequently found as hits, but only a few examples have been biochemically validated, with deficits especially in prokaryotes. Therefore, we rationally selected nineteen Escherichia coli enzymes from such datasets and examined their ability to bind RNAs using two complementary methods, iCLIP and SELEX. Found interactions were validated by EMSA and other methods. For most of the candidates, we observed no RNA binding (12/19) or a rather unspecific binding (5/19). Two of the candidates, namely glutamate-5-kinase (ProB) and quinone oxidoreductase (QorA), displayed specific and previously unknown binding to distinct RNAs. We concentrated on the interaction of QorA to the mRNA of yffO, a grounded prophage gene, which could be validated by EMSA and MST. Because the physiological function of both partners is not known, the biological relevance of this interaction remains elusive. Furthermore, we found novel RNA targets for the MS2 phage coat protein that served us as control. Our results indicate that RNA binding of metabolic enzymes in procaryotes is less frequent than suggested by the results of high-throughput studies, but does occur.