Miracle-dz/UniFAR-FTUs huggingface dataset:
In Silico Identification of Potential Inhibitors of the Main Protease of SERS-CoV-2 Using Combined Ligand-based and Structure-based Drug Design approach

Objectives: The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) remains a serious global threat At the time of writing, there are no specific therapeutic agents or vaccines to combat this disease This study was designed to identify the SARS-CoV-2 main protease inhibitors using drug molecule information retrieved from DrugBank 5 0 (Wishart et al ) Methods: A set of common pharmacophores were generated from a series of 22 known SARS-CoV inhibitors The best pharmacophore used for virtual screening (VS) of DrugBank using the Phase module followed by structure-based virtual screening (VS) using Glide (Release 2020-1;Schrodinger LLC, New York, NY, USA) with SARS-CoV-2 main protease and 50 ns molecular dynamics (MD) simulation studies Results: Six hits were selected based on the fitness score, extra-precision Glide score, and binding affinity with the main protease (Mpro) The predicted inhibitor constant (Ki) values of the 3 best hits, DB03777, DB06834, and DB07456, were 0 8176, 0 2148, and 0 1006 mu M, respectively An MD simulation of DB07456 and DB13592 with the Mpro demonstrated stable protein-ligand complexes Conclusion: The selected inhibitors displayed a similar type of binding interaction with co-ligands and remdesivir, and the predicted Ki values of 2 inhibitors were found to be superior to remdesivir These selected hits may be used for further in vitro and in vivo studies against the SARS- CoV-2 Mpro
Effect of closed versus open kinetic chain exercise to improve knee muscles strength and balance in elderly population: A hypothetical literature review

Background Chronic knee pain is becoming a significant social issue with ageing. The loss in muscle strength and balance with increasing age often lead to physical and quality of life impairments, as well as increased morbidity. Since knee pain and impaired balance are major issues affecting the quality of life of the elderly population, a preventive approach is required to decrease the incidence of muscle weakness and decrease proprioception. Objective to compare the effectiveness of open kinetic-chain (OKC) and closed kinetic-chain (CKC) exercise in improving the elderly population's knee strength and balance. Method A literature review was done where number of previously published articles were searched from various online platforms to find the effectiveness of OKCE versus CKCE in improving knee muscle strength and balance in elderly population. Result Both CKCE and OKCE were found to improve strength in lower leg musculature but OKCE are comparatively more effective strength training program. However, when it comes to improving balance and proprioception, CKCE were found to be more effective. Conclusion OKCE are better strengthening exercise regimes whereas CKCE are better choice of exercise regimes when it comes to improving balance and proprioception.
GROWTH PERFORMANCE, IMMUNE RESPONSE AND DISEASE RESISTANCE OF NILE TILAPIA Oreochromis niloticus FED DIET WITH DIFFERENT LEVELS OF Amaranthus spinosus LEAF MEAL FOLLOWING Aeromonas hydrophila INFECTION

This study evaluated the dietary effect of Amaranthus spinosus Leaf Meal (ASLM) on growth performance, immune response and survival of Nile tilapia Oreochromis niloticus reared for 10 weeks following Aeromonas hydrophila infection. Fish were fed with a diet containing 25, 50, 75% of ASLM and 0% ASLM served as the Control-basal diet (C). Significant effects of treatments on growth, hematological profile, resistance to disease and survival were observed after 10 weeks of rearing and after infection. Wf, WG and SGR of fish fed with 50% ASLM were higher and FCR was lower than that of C. Wf, WG and SGR of ASLM50 were increased by 10%, 15% and 9% as compared to that of C, respectively. Moreover, FCR of ASLM50 was 10% lower than that of C. Hematological profile of Nile tilapia was comparable after 10 weeks of rearing. However, after challenge test, WBC and HGB of ASLM50 and ASLM75 were increased by 9% and 6% as compared to that of C, respectively while RBC, HGB and HCT of ASLM50 increased by 9%, 6% and 21% as compared to that of C, respectively. No significant difference was found on PLT among treatments after A. hydrophila infection. Fish fed with ASLM50 and ASLM75 had the highest percentage survival after challenge with A. hydrophila. Overall, these results indicated that ASLM enhances growth performance and improves resistance of Nile tilapia against A. hydrophila infection. ASLM could be therefore considered as potential alternative growth promoter and as natural immunostimulant for aquaculture.
Full Ground Ultra-Wideband Wearable Textile Antenna for Breast Cancer and Wireless Body Area Network Applications

Wireless body area network (WBAN) applications have broad utility in monitoring patient health and transmitting the data wirelessly. WBAN can greatly benefit from wearable antennas. Wearable antennas provide comfort and continuity of the monitoring of the patient. Therefore, they must be comfortable, flexible, and operate without excessive degradation near the body. Most wearable antennas use a truncated ground, which increases specific absorption rate (SAR) undesirably. A full ground ultra-wideband (UWB) antenna is proposed and utilized here to attain a broad bandwidth while keeping SAR in the acceptable range based on both 1 g and 10 g standards. It is designed on a denim substrate with a dielectric constant of 1.4 and thickness of 0.7 mm alongside the ShieldIt conductive textile. The antenna is fed using a ground coplanar waveguide (GCPW) through a substrate-integrated waveguide (SIW) transition. This transition creates a perfect match while reducing SAR. In addition, the proposed antenna has a bandwidth (BW) of 7–28 GHz, maximum directive gain of 10.5 dBi and maximum radiation efficiency of 96%, with small dimensions of 60 × 50 × 0.7 mm3. The good antenna’s performance while it is placed on the breast shows that it is a good candidate for both breast cancer imaging and WBAN.
Utilization of Isoflavones in Soybeans for Women with Menopausal Syndrome: An Overview

Based on their nutrient composition, soybeans and related foods have been considered to be nutritious and healthy for humans. Particularly, the biological activity and subsequent benefits of soy products may be associated with the presence of isoflavone in soybeans. As an alternative treatment for menopause-related symptoms, isoflavone has gained much popularity for postmenopausal women who have concerns related to undergoing hormone replacement therapy. However, current research has still not reached a consensus on the effects of isoflavone on humans. This overview is a summary of the current literature about the processing of soybeans and isoflavone types (daidzein, genistein, and S-equol) and supplements and their extraction and analysis as well as information about the utilization of isoflavones in soybeans. The processes of preparation (cleaning, drying, crushing and dehulling) and extraction of soybeans are implemented to produce refined soy oil, soy lecithin, free fatty acids, glycerol and soybean meal. The remaining components consist of inorganic constituents (minerals) and the minor components of biologically interesting small molecules. Regarding the preventive effects on diseases or cancers, a higher intake of isoflavones is associated with a moderately lower risk of developing coronary heart disease. It may also reduce the risks of breast and colorectal cancer as well as the incidence of breast cancer recurrence. Consumption of isoflavones or soy foods is associated with reduced risks of endometrial and bladder cancer. Regarding the therapeutic effects on menopausal syndrome or other diseases, isoflavones have been found to alleviate vasomotor syndromes even after considering placebo effects, reduce bone loss in the spine and ameliorate hypertension and in vitro glycemic control. They may also alleviate depressive symptoms during pregnancy. On the other hand, isoflavones have not shown definitive effects regarding improving cognition and urogenital symptoms. Because of lacking standardization in the study designs, such as the ingredients and doses of isoflavones and the durations and outcomes of trials, it currently remains difficult to draw overall conclusions for all aspects of isoflavones. These limitations warrant further investigations of isoflavone use for women’s health.
Effects of Individualized Low-Intensity Exercise and Its Duration on Recovery Ability in Adults

Exercise is recommended to increase physical health and performance. However, it is unclear how low-intensity exercise (LIE) of different durations may affect or improve recovery ability. This study aimed to investigate how LIE-duration with the same volume affects recovery ability in adults. Twenty healthy male adults participated in this study. Participants were randomly assigned to the 30-min (n = 10) or the 1-h LIE group (n = 10). The intervention included sixteen exercise sessions/four weeks with a 30-min LIE group, and eight exercise sessions/four weeks with a 1-h LIE group. Heart rate (HR) corresponding to <2 mmol∙L−1 blood lactate (La−) was controlled for LIE. Pre- and post-testing was conducted before and after 4-week LIE and tests included jogging/running speed (S), HR, and differences (delta; ∆) in HR and S between pre- and post-testing at 1.5, 2.0, and 4.0 mmol∙L−1 La−. Only the HR at 2.0 mmol∙L−1 La− of the 30-min LIE group was decreased in the post-test compared to the pre-test (p = 0.043). The jogging/running speed of the 1-h LIE group was improved in the post-test compared to the pre-test (p < 0.001, p = 0.006, p = 0.002, respectively). ∆HR at 2.0 and ∆S between the 30-min and 1-h LIE group at 1.5, 2.0, and 4.0 mmol∙L−1 La− were significantly different (p = 0.023, p < 0.001, p = 0.002, and p = 0.019, respectively). Furthermore, moderate to high positive correlations between ∆HR and ∆S of all subjects at 1.5 (r = 0.77), 2.0 (r = 0.77), and 4.0 (r = 0.64) mmol∙L−1 La− were observed. The 1-h LIE group showed improved endurance not only in the low-intensity exercise domain, but also in the beginning of the moderate to high-intensity exercise domain while the 30-min LIE group was not affected by the 4-week LIE intervention. Therefore, LIE (<2.0 mmol∙L−1) for at least 1-h, twice a week, for 4 weeks is suggested to improve recovery ability in adults.
Haptic Display Responsive to Touch Driven by Soft Actuator and Soft Sensor

Haptic display transfers the sense of touch by applying forces, vibrations, or motions to the user. This article presents a novel bidirectional haptic display responsive to touch. The device is composed of a flexible tactile sensor and tactile actuator, and the actuator is actuated according to the touch signals from the tactile sensor. The tactile sensor is a thin array of resistive type sensors that covers the top of the soft dielectric elastomer actuator array. The tactile sensor measures the normal forces (0<inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>6 <inline-formula><tex-math notation="LaTeX">$N$</tex-math></inline-formula>) and positions of touches and then sends these signals to control the corresponding tactile actuator cells. The tactile actuator works within the frequency range of 0<inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>300 Hz, provides up to 520 <inline-formula><tex-math notation="LaTeX">$\mu \text{m}$</tex-math></inline-formula> of displacement and, 600 mN of normal force, much greater than the human hand threshold (50 mN). And thus, the device can transfer different feelings to users. In this research, we develop and evaluate a stand-alone bidirectional haptic display. Then, we took the psychophysical test and introduced the master—slave system whereby the master device controls the slave device depending on the master input.
Bioavailability of Hydrophobic Compounds Partitioned into the Micellar Phase of Nonionic Surfactants

The apparent solubility of polycyclic aromatic hydrocarbon compounds such as phenanthrene can be increased in the presence of surfactants above their critical micelle concentration. A fraction of the phenanthrene partitioned into the micellar phase of some nonionic surfactants can be directly bioavailable to phenanthrene-degrading microorganisms. A model describing the biodegradation of the directly bioavailable micellar-phase substrate is presented. The hypothesis on which the model is based considers the following steps: (a) the contaminant is transported by filled micelles from the bulk solution to the proximity of the cells; (b) the exchange of the filled micelle with the hemimicellar layer around the cell delivers the contaminant to the cell; (c) the contaminant diffuses into the cell and is biodegraded. The biodegradation kinetics were explained in terms of a series of mass-transfer processes, which lead to a similar equation as the Monod kinetics. The theoretically derived expression, describing t.
Synthesis and characterization of sodium meta-autunite, Na[UO2PO4]·3H2O

Abstract Long-chain sodium polyphosphate compounds have been recently proposed as a ‘time-released’ source of phosphate for precipitation of uranium-phosphate minerals. Elevated sodium concentrations presented by this technique promote the formation of sodium autunite relative to the more common calcium autunite mineral phase. In order to evaluate sodium autunite minerals as a long-term ‘sink’ for in-situ immobilization of uranium, it is necessary to quantify their longevity under environmentally relevant conditions. This paper describes a direct method for precipitating sodium autunite and provides a comparative analysis of the structural and chemical properties of direct versus indirectly precipitated sodium autunite. Extended X-ray absorption fine structure (EXAFS) spectroscopy, chemical digestion followed by inductively-coupled plasma-optical emission spectroscopy (ICP-OES) and inductively-coupled plasma-mass spectroscopy (ICP-MS) for elemental analyses, X-ray diffraction (XRD), scanning electron microscopy (SEM), multi point Brunauer–Emmett–Teller (BET) analyses and helium pyconometry were used to characterize the precipitate phases. Morphological differences are discussed in the context of conducting subsequent solubility and dissolution investigations. Research presented here is part of a larger effort to quantify the solubility and dissolution properties of uranium-phosphate minerals.
Enhanced Electrochemical Growth and Redox Characteristics of Poly(o-phenylenediamine) on a Carbon Nanotube Modified Glassy Carbon Electrode and Its Application in the Electrocatalytic Reduction of Oxygen

The electrochemical growth current of poly(o-phenylenediamine) as well as its redox current were enhanced several-fold when deposited on a carbon nanotube modified glassy carbon electrode compared to the same at a glassy carbon surface. The current enhancements during the growth of the polymer were not due to any surface area effects but are attributed to a facilitated nucleation involving acidic sites of the carbon nanotube. The poly(o-phenylenediamine)−carbon nanotube composite electrode showed a polymer redox-mediated electrocatalytic effect for oxygen reduction reaction with a 5-fold enhancement in current and a favorable potential shift of 130 mV compared to the values obtained at a poly(o-phenylenediamine) electrode.
Reconstruction Residuals Based Long-term Voltage Stability Assessment Using Autoencoders

—— Real-time voltage stability assessment (VSA) has long been an extensively research topic. In recent years, rapidly mounting deep learning methods have pushed online VSA to a new height that large amounts of learning algorithms are ap‐ plied for VSA from the perspective of measurement data. Deep learning methods generally require a large dataset which con‐ tains measurements in both secure and insecure states, or even unstable state. However, in practice, the data of insecure or un‐ stable state is very rare, as the power system should be guaran‐ teed to operate far away from voltage collapse. Under this cir‐ cumstance, this paper proposes an autoencoder based method which merely needs data of secure state to evaluate voltage sta‐ bility of a power system. The principle of this method is that an autoencoder purely trained by secure data is expected to only create precise reconstruction for secure data, while it fails to re‐ build data of insecure states. Thus, the residual of reconstruc‐ tion is effective in indicating VSA. Besides, to develop a more accurate and robust algorithm, long short-term memory (LSTM) networks combined with fully-connected (FC) layers are used to build the autoencoder, and a moving strategy is in‐ troduced to bias the features of testing data toward the secure feature domain. Numerous experiments and comparison with traditional machine learning algorithms demonstrate the effec‐ tiveness and high accuracy of the proposed method.
Quantitative Analysis of Crude Oils by Fluorescence Lifetime and Steady State Measurements Using 380-nm Excitation

Fluorescence emission and lifetime spectroscopy using 380-nm excitation have been successfully applied to the determination of API gravity and aromatic concentration of crude petroleum oils. Twelve crude oils from the North Sea with American Petroleum Institute (API) gravities of between 20 and 50 were analyzed; emission spectra were obtained with a standard fluorometer and the lifetime data with a pulsed ultraviolet light-emitting diode (UV-LED) coupled to a fluorescence lifetime system assembled in-house. A strong correlation between API gravity and the ratio of the fluorescence intensities recorded at 650 nm and 450 nm yielded a partial least-squares (PLS) regression model with an accurcy of ±4.6 °API; using the fluorescence intensity ratio at 650 nm and 550 nm gave an accuracy of ±5.8 °API. The average fluorescence lifetimes (τ̄) of the oils ranged from 1.9 to 18.6 ns, with τ̄ first increasing and then decreasing as the emission wavelength increased. These effects are due to the interplay between energy transfer and the quenching processes, which are governed by oil composition. A strong linear correlation was found between the ratio of the fluorescence lifetime measured at 650 nm and 550 nm and the aromatic concentration. A PLS regression model using this ratio had an accuracy of ±4% for aromatic concentration. Combining the fluorescence intensity with the lifetime measurements at 550 nm and 650 nm provides a rapid, quantitative, non-contact, nondestructive method of oil characterization.
Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval

In recent years, many attempts have been dedicated to the creation of automated devices that could assist both expert and beginner dermatologists towards fast and early diagnosis of skin lesions. Tasks such as skin lesion classification and segmentation have been extensively addressed with deep learning algorithms, which in some cases reach a diagnostic accuracy comparable to that of expert physicians. However, the general lack of interpretability and reliability severely hinders the ability of those approaches to actually support dermatologists in the diagnosis process. In this paper a novel skin image retrieval system is presented, which exploits features extracted by Convolutional Neural Networks to gather similar images from a publicly available dataset, in order to assist the diagnosis process of both expert and novice practitioners. In the proposed framework, ResNet-50 is initially trained for the classification of dermoscopic images; then, the feature extraction part is isolated, and an embedding network is built on top of it. The embedding learns an alternative representation, which allows to check image similarity by means of a distance measure. Experimental results reveal that the proposed method is able to select meaningful images, which can effectively boost the classification accuracy of human dermatologists.
Strategic thinking as a factor of sustainable development of the organization

The article reveals the methodological foundations of the effective staff training and identifies the influence directions of organizational training on the strategic thinking formation. In the changing world in which crises become a natural phenomenon and the long-term planning is difficult, strategic thinking is actualized. Strategic thinking is based on the ability to interact with future, understand the changes and transform it into concrete strategic actions. Result of overcoming the crisis is determined by the ability of the company’s management to find the right balance between defensive strategies aimed at preserving the results of the past, and offensive strategies focused on using of the opportunities for development. The authors propose an understanding of strategic thinking as an actual activity of the subject of management, motivated by organizational needs and values, aimed at determining the general path of sustainable movement to the long-term goals taking into account the dynamism and uncertainty of the environment, the changing ratio of expected long-term benefits and costs; a system of competence indicators “strategic thinking” has been developed; the possibility of organizational training in the formation of such competence as strategic thinking has been substantiated.
Scope elasticity and economic significance in discrete choice experiments

Sensitivity to scope in nonmarket valuation refers to the property that people are willing to pay more for a higher quality or quantity of a nonmarket public good. Establishing significant scope sensitivity has been an important check of validity and a point of contention for decades in stated preference (SP) research, primarily on contingent valuation. Recently, researchers have begun to differentiate between statistical and economic significance. This paper contributes to this line of research by studying the significance of scope effects in discrete choice experiments (DCE) using the scope elasticity of willingness-to-pay (WTP) concept. We first formalize the scope elasticity concept in a DCE context and relate it to economic significance. Next, we review a selection of DCE studies from different fields and derive their implied scope elasticity estimates. We observe that scope tests as validity checks are uncommon in the DCE literature. Most studies assume unitary elastic scope sensitivities by employing linear functional forms, and when more flexible specifications are employed, the tendency is towards inelastic scope sensitivity. Then, we apply the scope elasticity concept to primary DCE data on people’s preference for expanding the production of renewable energy in Norway. We find that all scope elasticity estimates are statistically significant and vary between 0.18 and 0.46, depending on attribute analyzed, model specification, geographic subsample, and unit of measurement chosen for a key attribute. While there is no strict, universally applicable benchmark for determining the economic significance of scope impacts, we deem these estimates to be of an adequate and plausible order of magnitude. Implications of the results for future DCE research are provided.
Corrosion behavior of Co-Sm based magnetic media

In this article the long term stability of Co–Sm thin films, both with no overcoat and covered with silicon nitride layers of varying thickness, has been investigated by means of accelerated corrosion tests in vacuum, air, and in a humidity chamber. Bare Co–Sm films exhibit an accelerated decrease in magnetization with respect to reference Co–Pt films, dependent in part on the effective surface area of the magnetic film. X-ray photoelectron spectroscopy depth profiling and corrosion tests demonstrate that silicon nitride layers of about 8 nm should provide adequate protection against degradation of the magnetic properties of Co–Sm thin films.