Miracle-dz/UniFAR-FTUs huggingface dataset:
PPA_A_325214 2027..2037

1Clinical Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark; 2The National Food Institute, Technical University of Denmark, Søborg, Denmark; 3Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Purpose: Intention and perceptions of healthy eating may affect diet-related behavior. We assessed the intention and perceptions of eating healthily in patients with type 1 (T1D) and type 2 diabetes (T2D) compared with the general population. Secondly, differences in diet quality were assessed in patients with diabetes perceiving their dietary habits as more or less healthy. Materials and Methods: This cross-sectional study included data on socioeconomic status, dietary intake, and questions on healthy eating from adults with T1D (n=426), T2D (n=348) and from the general population (n=2899). Results: Patients with T2D were less likely to perceive their dietary habits as healthy compared with T1D and the general population. Patients with T1D or T2D perceiving their dietary habits as healthy reported higher intake of vegetables, fruit, fish, fibre and protein. In addition, patients with T1D with perceived healthy versus less healthy dietary habits had lower sugar intake and higher alcohol intake. Overall, adherence to dietary guidelines in patients with T1D and T2D was too low both in self-perceived healthy and less healthy eaters. In comparison with T1D patients, patients with T2D were less likely and the general population was more likely to strive to eat a healthy diet. Conclusion: Patients with T2D had poorer self-perception of their dietary healthiness and less intention of eating healthily, compared with patients with T1D and the general population. Actual diet quality was higher amongst patients with T1D and T2D perceiving their dietary habits as healthy than those perceiving their dietary habits as less healthy. But inadequate intakes were found in all groups. Health care providers should address and explore the patient’s intention and perceptions of healthy eating when discussing dietary changes in diabetes to improve nutritional support.
Characterization and Plant Growth Promoting Properties of a Bacillus sp. Isolated from Maize Roots

Aim: To isolate plant growth promoting Bacillus strains from maize roots and to characterize using molecular methods, the strain with greatest potential for plant growth promotion. Place and Duration of Study: Department of Applied Microbiology and Brewing, Nnamdi Azikiwe University, Awka, between February 2019 and March 2020. Methodology: The isolation of plant growth promoting rhizobacteria (PGPR) from maize roots was made using Nitrogen Free Bromothymol Blue (NFB) broth. They were screened for Phosphate solubilizing activities on Pikovskaya (PVK) agar. Quantitative determination and solubilization of different types of Phosphates was carried out using Pikovskaya broth. Optimization of factors affecting phosphate such as NaCl concentration, initial pH of the medium, size of inoculum, was done using pvk broth. Evaluation of other plant growth promoting properties were carried out such as IAA, Ammonia, cellulase and HCN production. Results: Eleven Nitrogen fixing bacteria were isolated using NFB broth based on colour change of the medium from green to blue. Test for phosphate solubilization abilities of the organisms revealed that nine of the isolates solubilized phosphate on PVK agar. Organism coded with IS52 gave the least solubilization index of 1.14 while isolate IS19 gave the highest index of 3.4. Isolate IS19 yielded the highest amount of 73. 5µg/ml P, while isolate IS30 was the weakest solubilizer in PVK broth, yielding 19. 4µg/ml P. The best isolate IS19, produced the plant growth hormone Indole Acetic acid at a concentration of 105. 4μg/ml. The organism also gave a positive result for ammonia and cellulase production but did not produce Hydrogen cyanide. It was identified as Bacillus subtilis using the 16S rRNA gene sequencing. Conclusion: Bacillus subtilis fixed Nitrogen qualitatively and solubilized insoluble phosphates in addition to other plant growth promoting properties, thus Bacillus subtilis has potential for plant growth promotion, making it an efficient strain for biofertilizer production
Gold–Copper Film Electrode for Voltammetry Determination of Mercury in Water

Gold-copper film electrode prepared in situ on carbon paste solid disk substrate (Au–CuF/CPE) was studied as a working electrode. The factors influencing mercury stripping peak currents, such as C Au III (0.20 mg/L), C Cu II (0.05 mg/L), type of acids and their concentration (HClO4, 0.005 M), deposition potential (-800 mV) for Au–CuF/CPE, deposition time (180 s), and interferents, were investigated and optimized. The method has a low limit of detection of 0.13 μg/L and is not affected significantly by the examined ions/substance. It was applied to detect the concentration of Hg in real water samples and is promising for practical usage.
Bioelectrical impedance analysis (BIA) in animal production: Review

Bioelectrical impedance analysis (BIA) is a method based on the different levels of opposition to the flow of an ionic current through the different body tissues. Results are expressed by primary measures of resistance (Rs) and reactance (Xs). From such measures, equations are applied to determine the phase angle (PA) and impedance (Z). Bioimpedance analysis has been indicated as a reliable and precise method to determine the body composition and nutritional status in humans. BIA has recently been adapted to be applied on animal production. Therefore, the aim of this review is to provide an analysis on the potential use of bioelectrical impedance on zootechnical production. Through BIA, correlations among bioelectrical measures and tissue composition of swine, bovine, ovine, bubaline and fish carcasses can be established. In this regard, a growing number of demands were led by more precise and cost-effective methods to evaluate the body composition in the zootechnical sector, in which the analysis of Rev Mex Cienc Pecu 2021;12(2):553-572 554 bioelectrical impedance proved to be a promising and minimally invasive technology to replace traditional methods.
Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment

To clarify whether there is a spatial correlation problem among China’s provincial energy consumption, economic growth, and ecological environment, this paper adopts the panel data of 31 provinces in China from 2008 to 2019 and uses a spatial data analysis method. This work studies economic growth and the spatial distribution pattern of the ecological environment, as well as the spatial effects of its energy consumption and economic growth on the ecological environment. Moreover, the spatial autocorrelation model, spatial-temporal transition method, and generalized moment estimation method are adopted to conduct empirical analysis on the research object. The results show that (1) there are spatial correlations among energy consumption, economic growth, and the ecological environment in China’s provinces, and there are obviously different agglomeration areas in spatial distribution; (2) energy consumption, economic growth, and the ecological environment level show different growth trends, and the differences between different provinces in provincial units are shrinking; and (3) regarding energy consumption, the spatial impact of economic growth on the ecological environment is obvious, and there are obvious “path dependence” characteristics in the spatial distribution and positive correlations. Finally, this paper puts forward research conclusions and relevant suggestions on the basis of empirical analysis.
A Generalized Space Vector Modulation for Cascaded H-Bridge Inverters under Faulty Conditions

In this research, a new space vector modulation control algorithm is proposed to increase the reliability and the accuracy of the cascaded H-bridge multilevel inverters in case of faulty situations where one or several power cells do not function. When one or more switches of a cell are opened or shorted, that cell is considered faulty. By giving a detailed analysis on the impact of the faulty power cells on the voltage space vectors, the inapplicable voltage vectors are removed precisely. Consequently, the optimal redundant switching states are chosen such that the highest possible output voltage can be achieved. In addition, the balance of the three phases line-to-line voltage and current are maintained. The proposed algorithm is also generalized so that it can be applied to any level of H-bridge inverters. The validity of the method is verified by numerical simulations using MATLAB Simulink with an 11-level cascaded H-bridge inverter.
ANTIBACTERIAL, ANTIOXIDANT ACTIVITIES AND ASSOCIATION AMONG PLANT GROWTH RELATED TRAITS OF LEPIDIUM DRABA

The Lepidium draba or white tope also known as hoary cress belongs to family Brassicaceae, has been known as one of the perennial herbs which grow normally from seeds and also produced horizontal long creeping roots. It normally grows as a weed plant in farm fields. The present study was conducted to find out the antibacterial and antioxidant activities along with the plant traits of Lepidium draba. The shoot, root and inflorescence extracts were taken through using ethanol, water and n-hexan as extraction solvents. It was found from our studies that the plant extracts were heaving alkaloids, saponins, flavonoids, coumarins, anthocyans, quinons, steroids, sterols and terpenoids as potential phenolic compounds. The bacterial strains including Escherichia coli, Klebsiella pneumonia and Staphylococcus aureus were cultured to access the antibacterial activities of plant extracts. The higher antibacterial activity was reported from n-hexan extract which indicate that the n-hexan extract may be used for extracting phytochemicals to be used as potential antibacterial biomedicines. The water extract showed higher antioxidant activities as compared with ethanol and n-hexan extracts which indicated that the use of water extract may be as a useful antioxidant under stress conditions, may also have anticancer activities. The lower coefficient of variation was recorded for all of the studied traits which indicated the consistency of results and reliability of selecting plants from various locations. There was significant and positive correlation among plant height with inflorescence weight, leaf area and leaf length, the inflorescence weight showed positive correlation with plant height, lea length and leaf area. There was higher contribution of plant height while leaf area contributed lower and negatively towards fresh plant weight. We have concluded from our study that the Lepidium draba plant extract showed antibacterial and antioxidant activities through using ethanol, water and n-hexan as extraction solvents. The significant correlation and regression associations indicated that the plants can tolerate harsh environmental conditions.
Three-dimensional fluid-thermal-structure multiphysics interaction simulation model of aluminium extrusion process

Three dimensional fluid-thermal-structure multiphysics interaction simulation model of aluminium extrusion process has been simulated and presented in this paper. This multiphysics complex geometrical engineering process is simulated effectively using computational fluid dynamics (CFD) simulation with very high accuracy, where the aluminium material is treated as a fluid that has a very high viscosity which depends on temperature and velocity. When aluminium moving, the inner friction will work as a heat source, therefore the model of the heat transfer is completely coupled together with those governing model of the fluid dynamics. Material properties come into a viscosity function that can be related to the flow stress locally depending on forming velocity and temperature. In addition, the stresses distribution in the die that introduces due to the fluid pressure and the thermal loads has been modelled by fully coupled the simulation model with the structural mechanic's analysis. Fully three-dimensional results during the process of the temperature distribution, velocity profile, von Mises stress distribution, total displacement and deflection distribution, equivalent volumetric strain distribution, and pressure distribution are presented and analysed with a focus on the fundamental understanding. The model is shown to be able to provide a computer-aided design tool for optimize this complex engineering process by improving productivity and reducing scrap.
Fractionation of carbohydrates and proteins and in vitro rumen kinetics of corn silage under various storage durations

The experiment evaluated the effects on the chemical composition (fermentation, kinetic parameters, and protein and carbohydrate fractions) of corn silage after various storage durations (45, 90, 180, and 360 days). Experimental mini silos of the corn plants were made and opened after various storage periods. The experimental design was completely randomized with four treatments and four replications per treatment. Variables such as pH, lactic acid and acetic acid showed a quadratic effect, whereas effluent and gas losses increased linearly with prolonged storage. Proteolysis was observed with an increase in storage, resulting in a rise in ammonia-N, soluble N, and non-protein N concentration and reduction in true protein. The soluble carbohydrate fractions were reduced, and digestible and indigestible fibre were increased. For the kinetic degradation parameters of the silages obtained through in vitro gas methodology, the highest fermentation rate occurred in the first 12 hours of incubation, and the highest volume of gas produced within 96 hours was obtained for silages with shorter storage (45 days). The increase in storage resulted in greater losses and lower ruminal degradability in vitro, causing a decrease in protein quality and nutritional value.
Molecular Generators and Optimizers Failure Modes

In recent years, there has been an uptick in interest in generative models for molecules in drug development. In the field of de novo molecular design, these models are used to make molecules with desired properties from scratch. This is occasionally used instead of virtual screening, which is limited by the size of the libraries that can be searched in practice. Rather than screening existing libraries, generative models can be used to build custom libraries from scratch. Using generative models, which may optimize molecules straight towards the desired profile, this time-consuming approach can be sped up. The purpose of this work is to show how current shortcomings in evaluating generative models for molecules can be avoided. We cover both distribution-learning and goal-directed generation with a focus on the latter. Three well-known targets were downloaded from ChEMBL: Janus kinase 2 (JAK2), epidermal growth factor receptor (EGFR), and dopamine receptor D2 (DRD2) (Bento et al. 2014). We preprocessed the data to get binary classification jobs. Before calculating a scoring function, the data is split into two halves, which we shall refer to as split 1/2. The ratio of active to inactive users. Our goal is to train three bioactivity models with equal prediction performance, one to be used as a scoring function for chemical optimization and the other two to be used as performance evaluation models. Our findings suggest that distribution-learning can attain near-perfect scores on many existing criteria even with the most basic and completely useless models. According to benchmark studies, likelihood-based models account for many of the best technologies, and we propose that test set likelihoods be included in future comparisons.
A System for Enhancing Human-level Performance in COVID-19 Antibody Detection

The world currently suffers from the global COVID-19 pandemic. Billions of people have been impacted, and millions of casualties have already occurred. Therefore, it is of extreme importance to identify individuals contaminated by SARS-CoV-2, allowing governments to plan actions to reduce further impacts. In this context, this work employed machine learning to improve the detection of SARS-CoV-2 antibodies in blood exams. Models have been developed in a real-world scenario with 500 thousand exams and were deployed in a remote laboratory for experiments. Results indicate that the models averaged sensitivity and speciﬁcity of 95%, and thus, they could aid COVID-19 antibody detection and the decision-making process of biomedical specialists.
Natural bee bread positively regulates lipid metabolism in rats

Natural bee bread contains various active ingredients, which can promote human health. However, the functional evaluation of bee bread is seldom reported. We conducted this study to evaluate the effect of natural bee bread on lipid metabolism using rats as model organism. Rats were treated with three doses of bee bread (80 mg/kg, 400 mg/kg and 800 mg/kg). A blank control group and a high fat model control group also were set up. The protein and gene expression of Fatty Acid Synthase (FAS), Acetyl CoA carboxylase (ACC) and lipoprotein lipase (LPL) in the liver tissue of rats were measured by reagent kits and real time quantitative PCR (RT-qPCR), respectively. The results showed that bee bread treatment groups signifi cantly decreased the concentration of FAS and ACC in the liver (P<0.05). LPL was also reduced after bee bread treatment, even though the difference was not statistically signifi cant from the high fat model group. The gene expression levels of FAS and ACC signifi cantly declined (P<0.05) in all treatment groups compared with the high fat model group. It was concluded that the natural bee bread has a positive effect on the regulation of rat lipid metabolism, indicating that it is a promising lipid metabolic regulator candidate to treat hyperlipidemia. Practical applications: Our results show that it is a promising lipid metabolism regulator, and may be used to treat hyperlipidemia. Research Article Natural bee bread positively regulates lipid metabolism in rats Zhen Li1,2, Qiang Huang1,2, Yibo Liu1,2, Chengtao Peng1,2 and Zhijiang Zeng1,2* 1Honeybee Research Institute, Jiangxi Agricultural University, Nanchang, Jiangxi 330045,
Arthroscopic evaluation of failed primary type II SLAP lesion repair in patients with high physical activity over 40 years of age and the outcomes of tenotomy

Objectives In this study, we aimed to examine patients over 40 years of age who underwent failed primary isolated type 2 superior labrum anterior posterior (SLAP) repair arthroscopically and to evaluate the outcomes of tenotomy. Patients and methods Between March 2011 and December 2019, a total of 32 patients (19 males, 13 females; median age: 55.1 years; range, 41 to 59 years) who underwent primary repair for SLAP due to high activity levels and in whom the treatment failed were retrospectively analyzed. Biceps tenotomy was applied to all patients. The Constant-Murley Score (CMS), Visual Analog Scale (VAS) pain scores, and muscle strength before and after re-arthroscopy were compared. Results The median follow-up time was 27 (9-84) months after biceps tenotomy. During arthroscopy, failure was detected in three (9.37%) patients and additional pathologies were detected in five (15.62%) patients. Patients with biceps tenosynovitis were 29 (90.62%). The mean pre- and postoperative CMS scores were 40.5±11.1 and 86.3±8.1, respectively (p<0.001). The mean pre- and postoperative VAS-pain scores were 7.3±1.5 and 2.1±0.8, respectively (p<0.001). Conclusion Although the primary repair technique has been successfully performed in patients with SLAP lesions over 40 years of age and high physical activity, the clinical outcomes are unsatisfactory. Biceps tenotomy improves functional and clinical results in patients with SLAP lesions who do not benefit from primary repair.
Lipophilic Salirasib analogs with enhanced antiproliferative activity against human solid tumor cell lines

Aim: We proposed to determine the antiproliferative activity of a series of synthetic salirasib analogs, presenting or not a 1,2,3-triazole linker, against five different cancer cell lines. Results: Bioassay, cheminformatic, and in silico ADME-Tox allowed the identification of new potent analogs. SAR analysis allowed the identification of structural and physicochemical features that benefit the antiproliferative activity. Conclusion: Isoprenyl R chains with three or more isoprene units, or long aliphatic R chains are the preferred ones within the active compounds. Likewise, we have identified three compounds with better activity profiles than salirasib against all the cell lines tested.
Finite Element Modeling of the Dielectric Response of Metal/Metal Oxide Nanocomposites: Coarse-Graining the Quantum Response

Nanocomposite materials with metallic or ceramic inclusions show great promise as highly-tunable functional materials, particularly for applications where high dielectric permittivities are desirable, such as charge-storage or energy-storage materials. These applications present a challenge for computational approaches, as the field response of the nanoscale inclusion is quantum in nature, yet any representative sample of the material must encompass hundreds if not thousands of atoms. As currently implemented, finite element methods offer some predictive power for macroscale matrix-inclusion composites. However, their applicability cannot necessarily be extended to few-nanometer, molecular scale inclusions, where quantum and interfacial effects gain importance in the overall response to the applied field. Here, we develop an adjustable finite element method approach to calculate the low frequency dielectric constant of composites consisting of a metal-oxide matrix with molecular-scale silver inclusions, by introducing an interfacial layer in the general model. A process for coarse-graining atomistic ab initio results to generate best fit finite element models is also laid out in this work. We show that a continuum model informed by ab initio results can capture many of the relevant polarization effects in a metal/metal oxide nanocomposite, at a fraction of the computational cost.
Gastro-Retentive as Most Promising Drug Delivery System

The aim of any research work is to find the complications associated with the drug or formulation and find the conclusion of what can be the best possible way to solve them. It has been observed that drugs with short half-life, pH-dependent solubility and having absorption window in upper part of GIT forms good drug candidate for gastro retentive system. Since the formulation reside at a particular site and releases the drug in a controlled manner. In this review article, we have focussed on a thorough understanding on the gastric region, which helped in selecting drugs, various types of gastro retentive systems, new outcomes from recent literature, and important evaluation parameters to attain formulation objective and various marketed products available.