Miracle-dz/UniFAR-FTUs huggingface dataset:
The relativistic effect of critical temperature reduction in the two dimensional Ising model

We investigated the impact of Kaniadakis statistics on thermodynamic properties for a square magnetic grid. We used the Ising model. We reported numerical results for a two-dimensional magnetic network in a thermal bath. We calculated the probabilities of transition between states using 𝜅 -statistics, the Metropolis dynamics for stochastic processes of the finite-sized magnetic network, considering that the system interacts with a thermal reservoir. We investigated the behavior of various thermodynamic properties. We observed typical measurements of magnetization, energy and specific heat. Increasing the 𝜅 parameter reduces the critical temperature. We observed by the measurements of the fourth order Binder cumulative of magnetization, that for different network sizes and different values of the parameter 𝜅 , the system transition temperature magnetic decreases as κ increases.
Core self-evaluations and sportive practice: Comparisons between practitioners and
 non-practitioners college students

Generally, it is assumed that practicing sports may contribute to developing positive self-perceptions. However, this assumption is still controversial, especially in competitive sports, which is characterized by high amounts of pressure and possible frustrations. Therefore, this study aims to investigate and compare the core self-evaluations (CSE) of three groups of college students: competitive sports practitioners (CSP), recreational sports practitioners (RSP), and non-practitioners (NP). Participants were 703 college students from different regions of Brazil. Covariance analyses showed that CSP had significantly higher CSE means than RSP (p < 0.05) and NP (p < 0.001). The RSP also presented significantly higher means than NP (p < 0.001). Despite the controversies, the results demonstrate that individuals who practice sports, even at a competitive level, may present more positive CSE, which contributes to better adaptation to different life demands and greater personal agency.
Robust Hybrid Linear State Estimator Utilizing SCADA and PMU Measurements

This paper intends to improve the accuracy of power system State Estimation (SE) by introducing a hybrid linear robust state estimator. To this end, automatic bad data rejection is accomplished through an M-estimator, i.e. a Schweppe-type estimator with Huber loss function. The method of Iteratively Reweighted Least Squares (IRLS) is used to maximize the likelihood function in the M-estimator. Leverage measurements are also treated by a simple yet effective formulation. To run the algorithm for real-world large-scale grids, cumbersome construction of the Jacobian matrix at each iteration is avoided. In addition, convergence to the local minima faced in the large-scale Gauss-Newton algorithm is not a concern as the proposed formulation is linear with no approximation. As observability and redundancy considerations mandate SE to take advantage of traditional SCADA measurements along with available PMU measurements, the linearity of the proposed SE formulation is guaranteed regardless of whether PMU-only, SCADA-only or hybrid SCADA/PMU measurements are utilized. In this regard, covariance matrix for measurements weights is derived for both types of measurements. Thanks to the linear formulation and therefore swiftness of the proposed algorithm, SE could be run for different power systems with a few up to thousands of buses.
Enhanced-Hybrid-Age Layered Population Structure (E-Hybrid-ALPS): A Genetic Algorithm with Adaptive Crossover for Molecular Docking Studies of Drug Discovery Process

Objectives: Age Layered Population Structure (ALPS) which introduces time labels into a traditional Genetic Algorithm (GA) is a novel search metaheuristic in overcoming premature convergence There are two models of ALPS namely generational and steady-state with their own merits and demerits Present work has been taken up to devise a search algorithm E-Hybrid-ALPS with the combined concepts and advantages of both the models Methodology: E-Hybrid-ALPS not only combined the concepts and advantages of both the models but also considered weak individual solutions to the mating pool and adaptively applied the crossover operator A search algorithm, a component of the molecular docking tool plays a vital role in the success of molecular docking used in drug discovery Hence, E-Hybrid-ALPS has been implemented as a search algorithm for molecular docking The execution was carried out with two receptor-ligand combinations namely receptor CYP2C8 and ligand Chloroquine, a therapeutic option in the treatment of Corona Virus Disease (COVID-19) and also a drug used in the treatment of Malaria and receptor CYP2B6 and ligand Cyclophosphamide a drug used in the treatment of cancer Results: E-Hybrid-ALPS generates poses of the ligand in the active site of the receptor, calculates the binding energy of each pose and outputs the pose with the lowest binding energy The performance was evaluated by comparing it with the widely used molecular docking tools AutoDock and AutoDockVina which employ Lamarckian GA as a search algorithm Lowest binding energy found by E-Hybrid-ALPS was significantly low as compared to the lowest binding energy found by AutoDock and AutoDockVina Conclusion: E-Hybrid-ALPS which generates a ligand/drug pose with the lowest binding energy can be implemented as a search algorithm for AutoDock molecular docking tool This helps the drug discoverer in designing a drug with a better binding affinity as lower binding energies indicate higher binding affinity © IJCRR
Effects of Harvest Maturity and Storage Time on Storage Quality of Korla Fragrant Pear Based on GRNN and ANFIS Models: Part I Firmness Study

Generalized-regression-neural-network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS) models were utilized to develop mathematical models for assessing the effects of harvest maturity and storage time on the storage quality of Korla fragrant pear. The results showed that fruit firmness had high correlations with harvest maturity and storage time. At different harvest maturities, the firmness of fragrant pear decreased with increasing storage time; while under the same storage time, a lower harvest maturity resulted in a faster decrease in the fruit firmness of fragrant pear. The GRNN and ANFIS models were validated to be reliable in predicting the variation tendency of fruit firmness of fragrant pear. In addition, the ANFIS model with generalized bell (gbellmf) (RMSE = 0.161; R = 0.98) was proved to be the optimum model. The findings of this study can provide reference for the research and practice of the storage of fragrant pear.
Sorption Enhanced Reaction Process for Production of Hydrogen

Hydrogen is one of the most suitable energy sources from both technological and environmental perspectives for the next century, especially in the context of a sustainable global energy economy. The most common industrial process to produce high-purity (99.99+ mol%) hydrogen is to reform natural gas by a catalytic reaction with steam at a high temperature. Conventional steam-methane reforming (SMR) contributed to approximately 2.4 billion standard cubic feet per day (SCFD) of hydrogen production in the US. By 1998, the growth of SMR-produced hydrogen in the US is expected to reach 3.4 billion SCFD, with the increased demand attributed to hydrogen`s use in reformulated gasolines required by the Clean Air Act. The goal of this work is to develop an even more efficient process for reforming steam and methane to hydrogen product than the conventional SMR process. The application of Sorption Enhanced Reaction (SER) technology to SMR has the potential to markedly reduce the cost of hydrogen through lower capital and energy requirements. The development of a more cost-effective route to hydrogen production based on natural gas as the primary energy source will accelerate the transition to a more hydrogen-based economy in the future. The paper describes the process, which includesmore » a sorbent for CO{sub 2} removal, and the various tasks involved in its development. « less
ACE-2-Derived Biomimetic Peptides for the Inhibition of Spike Protein of SARS-CoV-2

SARS-CoV-2, a novel coronavirus causing overwhelming death and infection worldwide, has emerged as a pandemic. Compared to its predecessor SARS-CoV, SARS-CoV-2 is more infective for being highly contagious and exhibiting tighter binding with host angiotensin-converting enzyme 2 (hACE-2). The entry of the virus into host cells is mediated by the interaction of its spike protein with hACE-2. Thus, a peptide that has a resemblance to hACE-2 but can overpower the spike protein–hACE-2 interaction will be a potential therapeutic to contain this virus. The non-interacting residues in the receptor-binding domain of hACE-2 have been mutated to generate a library of 136 new peptides. Out of this library, docking and virtual screening discover seven peptides that can exert a stronger interaction with the spike protein than hACE-2. A peptide derived from simultaneous mutation of all the non-interacting residues of hACE-2 yields almost three-fold stronger interaction than hACE-2 and thus turns out here to be the best peptide inhibitor of the novel coronavirus. The binding of the best peptide inhibitor with the spike protein is explored further by molecular dynamics, free energy, and principal component analysis, which demonstrate its efficacy compared to hACE-2. The delivery of the screened inhibitors with nanocarriers like metal–organic frameworks will be worthy of further consideration to boost their efficacy.
Mycorrhizal Inoculation on the Production of Seedlings of Native Caatinga Species

1 Universidade Federal do Vale do São Francisco (UNIVASF), Petrolina, PE, Brasil 2 Universidade Federal da Paraíba (UFPB), João Pessoa, PB, Brasil Abstract The objective of this study was to assess the efficiency of a mixed arbuscular mycorrhizal fungi (AMF) inoculum versus a single isolate to promote the seedling development of native Caatinga species: baraúna (Schinopsis brasiliensis Engl.) and juazeiro (Zizyphus joazeiro Mart.). The experiment was conducted in a greenhouse, presenting a completely randomized design with four treatments (Control – not inoculated, inoculated with Claroideoglomus etunicatum, Acaulospora longula or a mix of C. etunicatum and A. longula) and seven replicates. The AMF inoculation promoted an increase in all growth variables of the two plant species, with increments above 100% in all inoculation treatments, and a significant reduction in the transplanting time of the seedlings to the field. We concluded that the AMF use under study in the mixed form is as beneficial as in the isolated form for Z. joazeiro and S. brasiliensis seedling production.
High-Intensity Airborne CMUT Transmitter Array With Beam Steering

A <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> high-intensity CMUT transmit array that is capable of two-dimensional beam steering is presented. The device uses an ac drive voltage at half the ultrasound frequency without any dc bias, enabling the usage of the entire gap height. The device is designed using a large signal equivalent model approach. A fabrication method that requires a single lithographic mask has been used. The fabricated devices are operated at 76 kHz to beam steer at various angles. An equivalent element pressure of 144 dB//<inline-formula> <tex-math notation="LaTeX">$20~\mu $ </tex-math></inline-formula>Pa at the transducer surface was measured. The entire half-space can be steered without any sidelobes and the beam obtained from the array is in excellent agreement with the theoretical predictions. [2020-0253]
Synthesis and On-Field Testing of Novel Low-Cost Latent Fingerprint Development Powders

Background: A series of novel and low-cost powders were synthesised for the detection and extraction of the latent fingerprints deposited on various porous and non-porous surfaces. The template materials for these novel products range from silica nanoparticles to iron nanoparticles and activated charcoal. Preliminary lab testing indicated high quality fingerprints that were developed on various porous and non-porous surfaces such as glass slides, polymer plastic bags, aluminium foil, cardboard and paper. Results: The silica based nano-fingerprint powders gave extremely fine visual prints as compared to commercial SIRCHIE® powders, with a white pattern of the ridges. Activated charcoal based and iron nanoparticles based powders on the other hand yielded fine black fingerprint patterns similar to the commercial SIRCHIE® powders. These series of powders were subjected to on-field testing by utilising the state-of-art facility of the General Department of Forensic Science and Criminology, Dubai Police. The samples were tested here under both lab conditions and virtual crime scenes, alongside the SIRCHIE® commercial powders already in standard use by the Dubai Police. The qualities of print developed were assessed based on the AFIS (Automated Fingerprint Identification System) report and visual inspection by the senior fingerprint experts of the Dubai police. Conclusion: The study revealed distinct advantages of the novel synthesised products over the commercial powders. There was higher uniformity of the developed print patterns, higher score of AFIS analysis and advanced recovery of damaged fingerprints using the novel powders, which makes these novel products highly commercially viable.
Differential glycation of arginine and lysine by glucose and inhibition by acesulfame potassium

Glycation is a non-enzymatic process between the reactive carbonyl group of sugars and free amino groups of proteins especially arginine and lysine residues. This process leads to formation of a group of compounds called as Amadori products and advanced glycation products. These products have been implicated in many secondary complications of diabetes. In last few years the intake of sweetener has increased for various health reasons like control of hyperglycaemia and obesity. The present study was designed to evaluate the effect of Acesulfame-K, a well-known and widely used sweetener, on glycation system of arginine-glucose and lysine-glucose. The amount of glycation products generated in the presence and absence of acesulfame potassium was measured by established methods such as browning, Fructosamine assay, and determination of carbonyl content. The effect of acesulfame potassium was also checked on the glycation of DNA by agarose gel electrophoresis method. The results indicate that lysine is more potent in causing glycation as compared to arginine. Acesulfame potassium could significantly decrease the amount of glycation products in the glycation systems, arginine-glucose and lysine-glucose. It can be concluded that Acesulfame-K has anti-glycation potential as it decreased formation of Amadori products and AGEs. This study is significant in understanding the role of artificial sweetener in the process of glycation.
Influence of Dietary Phytase, Lysine and Phosphorus on Nutrient Digestibility, Hydrolysis of Phytic Acid and Coenzyme Q10 Synthesis in Laying Hens

High doses of phytase have been shown to increase phytic acid (Phyt-ac) hydrolysis, nutrient availability and coenzyme Q10 (CoQ10) synthesis in broilers, but no previous reports are available in layers. The present study tested the effects of four doses of phytase (0, 300, 1200 and 4800 FTU/ kg) and three digestible lysine (dLys) levels (0.67, 0.77, and 0.87%) on Phyt-ac hydrolysis, amino acid and mineral digestibility in layers fed diets with 0.12% available P (avP). Additionally, a diet with 0.25% avP and 0.87% dLys, without phytase added, was evaluated as control treatment. CoQ10 content in liver was quantified in the first three doses (0, 300, and 1200 FTU/kg) at the highest and lowest levels of dLys (0.67 and 0.87%). There was an interaction effect (P<0.05) between phytase doses and dLys levels for amino acid digestibility. In 0.67% dLys diets, the response to incremental doses of phytase was linear, while in 0.77% and 0.87% dLys there was a quadratic response (P<0.05). P digestibility was higher with incremental doses of phytase, despite a reduced effect of enzyme in 0.87% dLys diets (P=0.034). No differences (P>0.05) were observed between treatments on availability of Ca, Zn, Cu, Co, Mn and Fe. Phytase inclusion increased Mg, Na, and K digestibility in 0.67 and 0.77% dLys diets, but in 0.87% diets these were reduced (P<0.05). Doses of phytase 1200 and 4800 FTU/kg increased the presence of lower low inositol esters (Ins-P) such as Ins-5P, Ins-3P and inositol (P<0.05). Ins-4P and Ins-2P content was influenced (P<0.05) by phytase addition and dietary dLys. Liver CoQ10 content was similar between phytase doses in 0.67% dLys diets, but in the 0.87% dLys diet, phytase addition reduced coenzyme concentration in liver (P<0.05). In conclusion, phytase dose and dLys level in layer diet affected nutrient digestibility, Phyt-ac hydrolyzes, and CoQ10.
Factors Associated with Quality of Life of Psychiatric Outpatients with Chronic Pain in South Korea

: Chronic pain has a high prevalence rate and is difficult to treat because it is associated with personality, socio-psychological problems as well as physical pain, and thereby degrades one’s quality of life. This study aimed to determine whether psychosocial factors are associated with quality of life among outpatients with chronic pain. The subjects were selected from patients with chronic pain who were receiving outpatient treatment at the mental health department of a university hospital in Seoul, Korea. The participants were 100 patients and the data were collected using structured questionnaires. Patients’ quality of life was significantly positively correlated with pain acceptance and spirituality, and negatively associated with catastrophizing and neuroticism. Multiple regression showed that catastrophizing, spirituality, pain acceptance, neuroticism, and number of pain sites were significant predictors of quality of life. These variables explained 59.0% of quality of life. Therefore, to improve quality of life in patients with chronic pain, it may be necessary to develop their spirituality and pain acceptance, and to reduce their catastrophizing and neuroticism.
VIPEye: Architecture and Prototype Implementation of Autonomous Mobility for Visually Impaired People

Comfortable movement of a visually impaired per-son in an unknown environment is non-trivial task due to com-plete or partial short-sightedness, absence of relevant information and unavailability of assistance from a non-impaired person. To fulfill the visual needs of an impaired person towards autonomous navigation, we utilize the concepts of graph mining and computer vision to produce a viable path guidance solution. We present an architectural perspective and a prototype implementation to determine safe & interesting path (SIP) from an arbitrary source to desired destination with intermediate way points, and guide visually impaired person through voice commands on that path. We also identify and highlight various challenging issues, that came up while developing a prototype solution, i.e. VIPEye -An Eye for Visually Impaired People, to this aforementioned problem, in terms of task’s difficulty and availability of required resources or information. Moreover, this study provides candidate research directions for researchers, developers, and practitioners in the development of autonomous mobility services for visually impaired people.
Estrutura genética do pirarucu (Arapaima gigas) na região de Santarém, PA, Brasil.

O pirarucu (Arapaima gigas) e um peixe encontrado na Bacia Amazonica e Araguaia/Tocantins que possui grande importância economica para populacoes locais. Estudos para avaliacao da estrutura genetica das populacoes naturais de pirarucu sao necessarios a fim de prover informacoes para o manejo da especie em seu habitat natural. Desta forma, este trabalho analisou quatro comunidades proximas a regiao de Santarem-PA (N=99) por meio do sequenciamento de 1059 pb do gene mitocondrial ATPase. Os resultados sugerem que a variabilidade genetica encontrada e similar a encontrada em estudos de maior abrangencia geografica. A rede de haplotipos gerada, mostrou dois haplogrupos dentro dos quais estao distribuidos cinco haplotipos (H) referentes a este estudo distribuidos de forma semelhante a rede haplotipica disponibilizada na literatura.
Effects of period and temperature on quality and shelf-life of cucumber and garden-eggs packaged using cassava starch-zinc nanocomposite film

Nanocomposite film can be used to prolong the shelf-life of fruits and vegetables. This research was undertaken to investigate the effects of packaging period and temperature on the quality and self-lives of cucumber and garden-eggs packaged using cassava starch-zinc nanocomposite film. Hundred grams each of cucumber and garden-eggs were wrapped in a 200× 350 mm size nanocomposite film and low density polyethylene (LDPE) of 2.240± 1.076 × 10-10 gm-1Pa-1s-1 water vapor and 1.568± 0.084× 10-10 gm-1Pa-1s-1 oxygen gas permeability. The products were stored at 10−27oC temperatures and 0−9 day periods, and their quality attributes including β-carotene and ascorbic acid were determined. The results showed a high positive correlation for β-carotene and ascorbic acid contents of the cucumber and the garden eggs packaged in the nanocomposite film and the LDPE (p< 0.05). Also, the percentage increase in shelf-life of the packaged products in the cassava starch-zinc nanocomposite films was higher than those packaged in the LDPE materials. This indicates a small quality loss in the products packaged using the nanocomposite film compared with that packaged using the conventional LDPE. Hence, cassava starch-zinc nanocomposite film can be used to extend the shelf-life of the products.
The complete chloroplast genome of common camellia tree, Camellia japonica L. (Theaceae), adapted to cold environment in Korea

Abstract Camellia japonica L. is an ornamental species due to its beautiful red flowers blooming in winter. Here, we completed the chloroplast genome of C. japonica isolated in Soyeonpyeongdo located at the northernmost in South Korea. Its length is 156,971 bp long and has four subregions: 86,673 bp of a large single copy (LSC) and 18,394 bp of small single copy (SSC) regions are separated by 25,952 bp of inverted repeat (IR) regions including 135 genes (91 protein-coding genes, 8 rRNAs, and 36 tRNAs). The overall GC content of this chloroplast genome is 37.3% and those in the LSC, SSC, and IR regions are 35.3%, 30.5%, and 43.0%, respectively. Twenty-five single nucleotide polymorphisms (SNPs) and two insertions and deletions (INDELs) are identified against Korean C. japonica isolated in Jeju island, while 78 SNPs and 643 INDELs are found against Chinese C. japonica. Phylogenetic trees show that Camellia chekiangoleosa is clustered with Korean C. japonica.
A Novel Hydrogen Sensor Based on a Guided-Mode Resonance Filter

In this study, we demonstrated a hydrogen (H2) sensor based on a guided-mode resonance (GMR) filter coated with a layer of palladium (Pd). The sensor consists of three key layers, namely the substrate (replicated grating structure on an optical adhesive), waveguiding layer of TiO2, and active-sensing layer of Pd. The sensor functions as an optical resonator. On absorption of H2, the change of the refractive index in Pd changes the optical response of the sensor. To monitor the output optical response, a transmission setup was used, and two detection modalities—the change in transmission efficiency at a specific wavelength and the shift in the resonant wavelength—were demonstrated. Upon injection of a mixture of 4% H2 and 96% argon, the resonant wavelength shifted 6.38 nm, and transmission efficiency increased by 45% in 24 s.