Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the Joint Effect of Allostatic Load among Lesbian, Gay, and Bisexual Adults with Risk of Cancer Mortality

Sexual minorities (SM) have higher chronic physiologic stress as indicated by allostatic load (AL), which may be explained in part by consistent experiences of discriminatory practices. This is one of the first studies to examine the joint effects of SM status and AL on the association with long-term risk for cancer death. Retrospective analyses were conducted on 12,470 participants using National Health and Nutrition Examination Survey (NHANES) from years 2001 through 2010 linked with the National Death Index through December 31, 2019. Cox proportional hazards models estimated adjusted hazard ratios (aHRs) of cancer deaths between groups of SM (those reporting as gay, lesbian, bisexual, or having same-sex sexual partners) status and AL. SM adults living with high AL (n = 326) had a 2-fold increased risk of cancer death (aHR: 2.55, 95% CI: 1.40–4.65) when compared to straight/heterosexual adults living with low AL (n = 6674). Among those living with high AL, SM (n = 326) had a 2-fold increased risk of cancer death (aHR: 2.26, 95% CI: 1.33–3.84) when compared to straight/heterosexual adults with high AL (n = 4957). SM with high AL have an increased risk of cancer mortality. These findings highlight important implications for promoting a focused agenda on cancer prevention with strategies that reduce chronic stress for SM adults.
The Água Clara Cave System in Northeastern Brazil: The Richest Hotspot of Subterranean Biodiversity in South America

The Água Clara Cave System (ACCS) in Brazil is the richest hotspot of subterranean biodiversity in South America. In this study, we present an updated list of cave-restricted species in the ACCS and compare it with previously published hotspots in Brazil. Our list of cave-obligate fauna comprises 31 species, including 23 troglobionts and 8 stygobionts. The exceptional diversity of the ACCS can be attributed to factors related to the high dispersal potential of cave fauna within the system, high surface productivity, and the large size of the cave system size. Notably, we observed highly troglomorphic species in the ACCS, some of which are the most troglomorphic species in their respective groups in Brazil. The huge volume of galleries, high humidity, and trophic conditions prevailing in the ACCS may have played a role in shaping the strong troglomorphic traits observed in these species. However, all the obligate cave species in the ACCS require conservation attention and are at an elevated risk of extinction due to their limited ranges, few occurrences, and many potential threats. This study sheds light on the biodiversity and conservation status of cave-restricted fauna in the ACCS and highlights the importance of protecting these unique ecosystems.
Microbiological and Physico-Chemical Characteristics of Black Tea Kombucha Fermented with a New Zealand Starter Culture

Kombucha is a popular sparkling sugared tea, fermented by a symbiotic culture of acetic acid bacteria (AAB) and yeast. The demand for kombucha continues to increase worldwide, mainly due to its perceived health benefits and appealing sensory properties. This study isolated and characterised the dominant AAB and yeast from a starter culture and kombucha broth after 0, 1, 3, 5, 7, 9, 11, and 14 days of fermentation at ambient temperature (22 °C). Yeast and AAB were isolated from the Kombucha samples using glucose yeast extract mannitol ethanol acetic acid (GYMEA) and yeast extract glucose chloramphenicol (YGC) media, respectively. The phenotypic and taxonomic identification of AAB and yeast were determined by morphological and biochemical characterisation, followed by a sequence analysis of the ribosomal RNA gene (16S rRNA for AAB and ITS for yeast). The changes in the microbial composition were associated with variations in the physico-chemical characteristics of kombucha tea, such as pH, titratable acidity, and total soluble solids (TSS). During fermentation, the acidity increased and the TSS decreased. The yield, moisture content, and water activity of the cellulosic pellicles which had developed at the end of fermentation were attributed to the presence of AAB. The dominant AAB species in the cellulosic pellicles and kombucha broth were identified as Komagataeibacter rhaeticus. The yeast isolates belonged to Debaryomyces prosopidis and Zygosaccharomyces lentus.
Surface Modifications of Magnesium-Based Materials for Hydrogen Storage and Nickel–Metal Hydride Batteries: A Review

Whether it is fossil energy or renewable energy, the storage, efficient use, and multi-application of energy largely depend on the research and preparation of high-performance materials. The research and development of energy storage materials with a high capacity, long cycle life, high safety, and high cleanability will improve the properties of energy storage systems and promote their wide application. In recent years, Mg-based materials, from a comprehensive consideration of energy storage performance, raw material reserves, and prices, have demonstrated potential industrial applications as large-scale hydrogen storage materials. Nevertheless, Mg-based materials also have obvious disadvantages: as a hydrogen storage material, the hydrogen absorption/desorption rate is insufficient, as well as the high hydrogen absorption/desorption temperatures; as the electrode material of Ni-MH batteries, the reactions of Mg with alkaline electrolyte and corrosion are the main problems for applications. This article reviews different surface treatment methods and mechanisms for surface modifications of Mg-based materials for hydrogen storage and Ni-MH battery applications, as well as the performance of the materials after surface modifications. Multiple experimental studies have shown that the surface layer or state of Mg-based materials has a strong impact on their performance. Surface modification treatment can greatly improve the energy storage performance of magnesium-based materials for hydrogen storage and Ni-MH battery applications. Specifically, Mg-based materials can have a lower hydrogen absorption/desorption temperature and a faster hydrogen absorption/desorption rate when used as hydrogen storage materials and can improve the corrosion resistance, initial discharge capacity, and cycling stability in alkaline solutions when used as negative electrode materials for Ni-MH batteries. By offering an overview of the surface modification methods for Mg-based materials in two energy storage fields, this article can improve researchers’ understanding of the surface modification mechanism of Mg-based materials and contribute to improving material properties in a more targeted manner. While improving the material properties, the material’s preparation and surface modification treatment process are considered comprehensively to promote the development, production, and application of high-performance Mg-based materials.
Sustainable Valorisation of Peach and Apricot Waste Using Green Extraction Technique with Conventional and Deep Eutectic Solvents

Worldwide, fruit processing industries reject high volumes of fruit waste, which represent rich sources of phenolic compounds and can be valorised through extraction, and then be reused for food, nutraceutical or cosmetic applications. In the present work, the optimisation of the recovery of phenolic compounds from apricot kernels and pulp, as well as peach pulp, through the green method of ultrasound and microwave assisted extraction (UMAE) is performed. Prior to extraction, a drying step of the pulps is conducted using freeze, vacuum and hot air drying. Except for the conventional extraction solvents of water and ethanol:water, a deep eutectic solvent (DES) formed by choline chloride/urea, and a natural deep eutectic solvent (NaDES) from choline chloride with lactic acid, are used, something that presentsecological benefits. With the aim of discovering the optimum extraction conditions, different values of the parameters of extraction time, utrasonic power and solvent/dry solid ratio are examined, and a mathematical model is developed to correlate them to the extraction yield (EY). The phenolic compounds and the antioxidant activity are determined through UV-Vis spectroscopy and High-Performance Liquid Chromatography (HPLC). The results of the study demonstrated that the most effective solvent in the extraction of apricot kernels is ethanol: water; DES is more efficient in the extraction of apricot pulp and NaDES in the extraction of peach pulps, reaching EYs of 25.65, 26.83 and 17.13%, respectively. In conclusion, both types of fruit waste are proved to have a significant content of valuable compounds, and the use of DES in fruit by-product extraction is effective and seems to be a promising alternative. Thus, the unexploited amounts of waste can be valorised through simple techniques and innovative solvents.
Convex Relaxations with Second Order Cone Constraints for Nonconvex Quadratically Constrained Quadratic Programming

In this paper, we present new convex relaxations for nonconvex quadratically constrained quadratic programming (QCQP) problems. Since the basic semidefinite programming relaxation is often too loose for general QCQP, recent research has focused on strengthening convex relaxations using valid linear or second order cone (SOC) inequalities. In this paper, we con- struct valid second order cone constraints for nonconvex QCQP and reduce the duality gap using these valid constraints. Specifically, we decompose and relax the nonconvex constraints to two SOC constraints and then linearize the products of the SOC constraints and linear constraints to achieve some new valid constraints. Moreover, we introduce and generalize two recent tech- niques for generating valid inequalities to further enhance our method. We demonstrate the efficiency of our results with numerical experiments.
Inequalities for functions of 2 × 2 block matrices

Let T = (cid:2) T 11 T 12 T 21 T 22 (cid:3) be accretive-dissipative, where T 11 , T 12 , T 21 , and T 22 are n × n complex matrices. Let f be a non-negative function on [0 , ∞ ) such that f (0) = 0, and let α, β ∈ (0 , 1) such that α + β = 1. For every unitarily invariant norm |||·||| , it is shown that
STRUCTURE OF DRIP LINE AND SUPERHEAVY NUCLEI IN EFFECTIVE RELATIVISTIC AND NONRELATIVISTIC INTERACTIONS

The main objective of this proposed work is to probe the structural properties has led to the discovery of several unexpected features that provide new challenges for nuclear theory and our current models. Such features include the structural and decay properties of superheavy nuclei, internal substructure (clustering) of intermediate and light nuclei, nuclear halos, neutron skins, prediction of new magic number beyond Pb, Island of inversion for few selective region of nuclear chart and the evolution of shell structure which leads to the changes in the magic numbers away from the region of stability etc. The discovery of these phenomena has led to the development of the models to describe these crucial and interesting nuclear properties, which may be a substantial progress have been made in the areas of low-energy nuclear theory. The recent and most successful widely used theoretical developments in the field of nuclear many body systems is the selfconsistent mean-field theory (MFT), which provides an elegant and economic framework for calculation of nuclear system for a widely extrapolated region. The present thesis based on the structural study of exotic nuclei including superheavy using MFT and their development. Which will lead to some unique calculations as well as predictions, being as follows: 1. A brief discussion on the development of these formalisms will be included in the present work. Addition to these, a short discussion will be covered about the newly develop microscopic of origin nucleon-nucleon potential from relativistic mean field theory and its application on the study of cluster radioactivity. 2. The well known and quite successful models such as Relativistic Mean Field Theory,
The Kinematics and Dynamics of Aircraft Motion

In this chapter the end point will be the equations of motion of a rigid aircraft moving over the oblate, rotating Earth. The flat-Earth equations, describing motion over a small area of a nonrotating Earth, with constant gravity, will be derived as a special case. To reach this end point we will use the vector analysis of classical mechanics to set up the equations of motion, matrix algebra to describe operations with coordinate systems, and concepts from geodesy, gravitation, and navigation to introduce the effects of the Earth’s shape and mass attraction. The moments and forces acting on the vehicle, other than the mass attraction of the Earth, will be abstract until Chapter 2 is reached. At this stage the equations can be used to describe the motion of any type of aerospace vehicle, including an Earth satellite, provided that suitable force and moment models are available. The term rigid means that structural flexibility is not allowed for, and all points in the vehicle are assumed to maintain the same relative position at all times. This assumption is good enough for flight simulation in most cases, and good enough for flight control system design provided that we are not trying to design a system to control structural modes or to alleviate aerodynamic loads on the aircraft structure. The vector analysis needed for the treatment of the equations of motion often causes difficulties for the student, particularly the concept of the angular velocity vector. Therefore, a review of the relevant topics is provided. In some cases we have gone beyond the traditional approach to flight mechanics. For example, quaternions have been introduced because of their “all-attitude” capability and numerical advantages in simulation and control. They are now widely used in simulation, robotics, guidance and navigation calculations, attitude control, and graphics animation. Topics from
An Overview of Object Detection and Tracking Algorithms

: With the development of information technology, the vision-based detection and tracking of moving objects is gradually penetrating into all aspects of people’s lives, and its importance is becoming more prominent, attracting more and more scientists and research institutions at home and abroad to participate in research in this ﬁeld. With in-depth research into vision-based object detection and tracking, various superior algorithms have appeared in recent years. In this article, we attempt to compare some of the classic algorithms in this area of detection and tracking that have appeared recently. This article examines and summarizes two areas: the detection and the tracking of moving objects. First, we divide object detection into one-stage algorithms and two-stage algorithms depending on whether a region proposal should be generated, and we accordingly outline some commonly used object detection algorithms. Second, we separate object tracking into the KCF and SORT algorithms according to the differences in the underlying algorithms.
An Access Control Method Against Unauthorized and Noncompliant Behaviors of Real-Time Data in Industrial IoT

There is a large amount of real-time data, e.g., measurement data and instructions, among controllers, sensors, and actuators in the Industrial IoT. These data are vulnerable to unauthorized access and tampering. In addition, once the controller is controlled by malicious code, it may send out dangerous instruction that is not compliant with the preset control process, which seriously interferes with the industrial control process. To achieve correct and undisturbed control based on real-time data, we propose an attribute-based access control (ABAC) method for real-time data in the Industrial IoT to mitigate unauthorized access and tampering, and noncompliant operation. First, we analyze the abnormal behaviors of real-time data interaction in the Industrial IoT. Second, we propose the multilevel hash identity authentication method to identify and block unauthorized access and tampering with real-time data. And, then we model the timing relationship and task logic relationship of the control process into the attribute fields of the ABAC method to identify and block noncompliant operations. Further, we design an access control module and display the lightweight deployment under the availability constraints of the control service. Finally, the proposed access control method is analyzed, proved, and experimented with. The results show that the proposed method can prevent unauthorized and noncompliant behaviors to field real-time data, meanwhile, it has a controllable delay and better scalability.
RESULTS AND ANALYSIS OF ACHIEVED JOINT RESEARCH AND ACTIVITIES BETWEEN REZEKNE ACADEMY OF TECHNOLOGY AND VASIL LEVSKI NATIONAL MILITARY UNIVERSITY

In 2018, the first group of teachers and students from Vasil Levski National University conducted experiments on laser marking in Rezekne Academy Of Technology, Latvia. Since then, joint research has been increasing every year and better results have been achieved not only in the field of laser technologies, but also in other areas of joint interest. A pilot study group is even being formed in a master's program in laser technology. As a result, the interest in laser technologies and in Latvia at Vasil Levski National University increased significantly. Research has been done on the impact of the exchange between the two institutions on the learners and their motivation to learn.
Reanalysis of neutron-capture elements in the benchmark r-rich star CS 31082−001

We revisit the abundances of neutron-capture elements in the metal-poor ([Fe/H] = −2.9) r-process-rich halo star CS 31082−001. Partly motivated by the development of the new near-ultraviolet Cassegrain U-band Efficient Spectrograph for the Very Large Telescope, we compiled an expanded line list for heavy elements over the range 3000–4000 Å, including hyperfine structure for several elements. Combining archival near-ultraviolet spectra of CS 31082−001 from the Hubble Space Telescope and the Very Large Telescope, we investigate the abundances and nucleosynthesis of 35 heavy elements (Ge, Sr, Y, Zr, Nb, Mo, Ru, Rh, Pd, Ag, Cd, Sn, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Os, Ir, Pt, Pb, Bi, Th, and U). Our analysis includes the first abundance estimates for tin, holmium, and ytterbium from these data, and the first for lutetium from ground-based data, enabling a more complete view of the abundance pattern of this important reference star. In general, the r-process-dominated elements are as enhanced as those in the Sun, particularly for elements with Z ≥ 56 (Ba and heavier). However, the abundances for the lighter elements in our sample, from Ge to Sn (31 ≤ Z ≤ 50), do not scale with the solar abundance pattern. Moreover, the Ge abundance is deficient relative to solar, indicating that it is dominantly an iron-peak rather than neutron-capture element. Our results (or upper limits) on Sn, Pt, Au, Pb, and Bi all pose further questions, prompting further study on the origin and evolution of the known r-rich and actinide-rich, metal-poor stars.
Density Functional Theory Study of the Effect of Mono-Halogen Substitution on Electronic and Non-Linear Optical Properties of Porphyrin

Porphyrin is an organic macrocycle compound, with a chemical formular (C20H14N4) it act as important components in various technological application like solar cell, due to their flexibility and low production cost. In this work, DFT and TD-DFT were used to investigate the molecular geometry, HOMO-LUMO energy gap, global chemical indices, thermodynamic properties, non-linear optical properties, IR frequencies and IR intensities, open circuit voltage and UV-Vis spectrum of parent and substituted porphyrin molecules were calculated and noted. All the computations were performed by using Gaussian 03 package. Our result for the bond lengths indicates that the strongest bond was found in chloroporphyrin molecule with value of 1.0771(Å) and the highest bond angles was found to be . The calculated value of HOMO-LUMO energy gap shows that porphyrin will be more stable by the substitution of fluoride atom with HOMO-LUMO energy gap of 5.5865eV. The value of energy gap for parent porphyrin molecule (2.8885) eV was found to be very closer to the reported value of (2.920) eV. It was found that the zero point vibrational energy reduces, while the entropy and specific heat capacity of the molecules rises, due to the effect of the substitutions. The non-linear optical properties calculations shows that, the first-order hyperpolarizability values turn out to be ten times than that of the prototype urea ( esu) molecule, which is commonly used for the comparison of NLO properties with other materials. The computed frequencies and intensities result shows that fluoroporphyrin has slightly higher peak values of frequencies with corresponding intensities than the rest of the substituted porphyrin molecules. The open circuit voltage ranges from 2.0206-4.1568eV in the case of high LUMO and 0.9465-3.0828eV in the case of low LUMO, this value can be applied to organic solar cell. The UV-VIS spectrum, shows that due to the solvent effect there was an increase in the excitation energy and then slight increase in oscillator strength. Our finding shows that the hybrid halogenated compound may be utilized as an application in sensor and solar cells.
Light Field Blind Deconvolution

We address for the first time the issue of motion blur in light field images captured from plenoptic cameras (instead of camera arrays), where the spatial sampling in each view is decimated. We propose a solution to the estimation of a sharp light field given a blurry one, when the motion blur point spread function is unknown, i.e., the so-called blind deconvolution problem. Unfortunately, the (decimated) spatial sampling of each light field view does not allow the use of current blind deconvolution approaches for traditional cameras. Also, due to the complexity of the imaging model, we investigate first the case of uniform (shift-invariant) blur of Lambertian objects, i.e., when objects are sufficiently far away from the camera to be approximately invariant to depth changes and their reflectance does not vary with the viewing direction. We introduce a highly parallelizable model for light field motion blur that is computationally and memory efficient. We then adapt a regularized blind deconvolution approach to our model and demonstrate its performance on both synthetic and real light field data.