Miracle-dz/UniFAR-FTUs huggingface dataset:
Antioxidant Activity on Pigments of Bacterial Symbionts of Soft Coral From Jepara Sea

Article History: Received 17 July 2020, Revised 28 August 2020, Accepted 28 August 2020, Available Online 31 August 2020 Abstract Soft corals have been known to produce secondary metabolites, some of them may have anticancer, antifouling, antibacterial and antioxidants activities. Symbiont bacteria on the soft coral can produce bioactive compounds that play an important role in chemical ecology as well as a marine natural product. Marine bacteria associated with soft coral collected from Jepara were successfully isolated on medium ZoBell 2216E and screened to synthesize the pigment. This approach has allowed the use of this organism as an environmentally friendly alternative source of natural pigment. This study found 25 bacteria have been isolated from 6 types of soft coral. Out of 25 bacterial isolates, only 3 bacteria (PCl 1, PS2 1, and PSa 2) positively contains pigments. Pigments analysis with UVVis spectrophotometric method showed the wavelength of pigments were in the range 300-600 nm. Moleculer identification was carried out by PCR using 16S rDNA while the preliminary antioxidant activity was tested with the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method. From the results of molecular identification by 16S rDNA method, it was shown that bacterium PCl 1, PS2 1, and PSa 2 was closely related to Pseudomonas stutzeri, Ponticoccus gilvus, Bacillus marisflavi with 99%, 99%, and 98% homology value. The antioxidant activity is as follows: PCl 1>PS2 1>PSA 2.
The Mediating Role of Coping Strategies in the Relationship of Difficulties in Emotion Regulation With Internet Addiction Among College Students

Aims: This study aims to assess the mediating role of coping strategies in the relationship between Difficulties in Emotion Regulation (DER) and Internet Addiction (IA) among college students. Methods & Materials: This is a descriptive-correlational study. Participants were 375 students of Islamic Azad University of Karaj Branch in 2018 who were selected using a convenience sampling method. Data were collected via self-report using the Difficulties in Emotion Regulation Scale, Coping Responses Inventory, and Internet Addiction Questionnaire. Collected data were analyzed in SPSS v. 25 using descriptive statistics, Pearson correlation coefficient, and concurrent hierarchical linear regression analysis (using Baron & Kenny approach). Findings: A significant relationship was observed between DER and maladaptive coping strategy (P<0.05, r=0.527), between IA and maladaptive coping strategy (P<0.05, r=0.386), and between DER and IA (P<0.05, r=0.548). Hierarchical regression analysis results showed that maladaptive coping strategy was the mediator of the relationship between DER and IA. Conclusion: DER is associated with IA and has a positive impact on maladaptive coping strategy of students, which can increase their IA.
Assessment of PhtD C-Terminal Immunogenicity by Opsonophagocytosis Assay (OPA) with OMVs as Adjuvants

Introduction: Streptococcus pneumoniae causes invasive and non-invasive diseases in children and adults. Currently, there are two types of pneumococcal vaccines: 23-valent pneumococcal polysaccharide vaccine and 13-valent pneumococcal conjugate vaccine which have caused many failures. Therefore, a new generation of pneumococcal vaccines is being pursued. Methods: An improved version of our previous study was performed using recombinant C-terminal of pneumococcal polyhistidine triad protein D (PhtD-C) as a vaccine antigen. The antigen was combined with meningococcal outer membrane vesicle (OMV) and alum as adjuvants to immunize BALB/c mice intraperitoneally. The generated total IgG, specific IgG, IgG1 and IgG2a antibodies and the killing ability of pneumococci by an opsonophagocytosis assay were then assayed. Results: Immunization by 30 μg PhtD-C and 50 μg OMV as an adjuvant, induced higher amounts of functional antibodies compared to our previous study while killing 50-55% of pneumococci cells. Conclusion: At optimized concentrations, PhtD-C and meningococcal OMV could be considered as a potent immunogens and the induced specific IgGs were effective and functional for killing
Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well Construction

A framework for combining physics-based and data-driven models to improve well construction is presented in this study. Additionally, the proposed approach provides a more robust and accurate model that mitigates the disadvantages of using purely physics-based or data-driven models. This approach can provide improved model-based control of drilling rig actuators (assocated with mud pumps, pipe handling systems, etc.). Traditionally, models based on physics including Hagen-Poiseuille flow, Hooke’s law, etc. are used during well construction. Physics-based models facilitate the design of the drilling plan and are vital to safely and successfully drilling wellbores. There are two major shortcomings, however, to using purely physicsbased models. First, the models can be inaccurate if the physical dynamics are not fully accounted for. Accurately capturing data to describe these processes can be involved, complex or prohibitively expensive. Second, these models must be maintained and calibrated during drilling, which requires a large amount of operator input and is liable to human error. On the other hand, pure datadriven approaches are unable to represent underlying mechanism dynamics and often struggle to properly capture causal relationships. It is shown in this work combining physics and data-driven modeling provides a more robust framework for well planning and execution. Machine learning techniques are combined with physics-based models via a rule-based stochastic hidden Markov model, using the modeling of frictional pressure losses during fluid circulation in the well as an example. Gaussian processes, neural networks and a deep learning model are trained and executed together with a physics model that is directly derived using first principles. The results show that combination modeling can accurately predict the pressure losses even outperforming the physics-based and purely data-driven modeling. The proposed approach has a good potential to allow safer, optimized well construction operations.
Fortification of Fibre in Yogurt using High Fibre Banana Stem and Jack Fruit Powder

Objectives: The present work is focused on the sensory quality of yogurt produced with high fibre powder. Methods: Response surface methodology (RSM) was used to optimize the ingredients like: Milk (1000 ml), sugar (100 g), Jack fruit powder (20g) and Banana Stem Powder (25g). Results: The results showed that the model fit was significant (p < 0.05) and there was satisfactory correlation between actual and fitted values. The statistical model was used to optimise the factors level for highest acceptability, to produce yogurt with high fibre. Data obtained from RSM on yogurt produced with high fibre banana stem powder and Jack fruit powder were subjected to the analysis of variance (ANOVA) and analyzed using a second order polynomial equation. Sensory analysis for colour and taste in the yogurt produced with banana stem powder and Jack fruit powder at the optimized ingredients composition were performed. Conclusion: The optimum condition for the best sensory score is Milk- 826ml, Sugar- 99.8g, Jack fruit powder 20.3g and Banana Stem Powder-22.5g. Yogurt produced with high fibre powder under the optimum conditions for sensory score was again subjected to evaluation of sensory values and the results were compared with the RSM predictions.
Molecular docking interaction between superoxide dismutase (receptor) and phytochemicals (ligand) from Heliotropium indicum Linn for detection of potential phytoconstituents: New drug design for releasing oxidative stress condition/inflammation of osteoarthritis patients

Antioxidant properties of medicinal plants play a very important role in different inflammatory, pain and oxidative stress related diseases. Osteoarthritis is most common musculoskeletal joint disease among middle aged and older people. The present study was attempted to detect potential Phyto-constituents in Heliotropium indicum against inflammation and pain. Superoxide dismutase (SOD) is an anti-oxidative enzyme and it was increased due to free radical generation or oxidative stress condition. This present study was focused at assessing the target level analysis of antioxidant activity of these (Lupeol and β amyrin) Phyto-constituents through molecular docking studies. The interaction between SOD and phytochemicals from H. indicum was carried out by using PyRx software to compare energy value and binding site of phytochemicals in reference to established synthetic non-steroidal anti-inflammatory drugs (NSAIDs). This result show that both phytoconstituents (lupeol and β amyrin) possessed potent capacity and is capable of activating SOD and showed better affinity towards SOD. Based on molecular docking we found few phytochemicals of H. indicum that can be used as lead compounds in future drug development as anti-inflammatory agent at low cost. It is also suggested to carry out functional assay of predicted compounds to validate suitability of this lead.
Exploring rural palliative care patients’ experiences of accessing psychosocial support through telehealth: A longitudinal approach

In this research, we explore the experiences of rural palliative care patients receiving psychosocial support through telehealth. A longitudinal approach considered how experiences vary over time. Three patients with a terminal cancer diagnosis were given a laptop to access psychosocial support via telehealth over three months. Semi-structured interviews were conducted at monthly intervals. Interpretative phenomenological analysis identified four themes: Deepening understanding through unburdened and continuous connections; the ever-present paradox of visible and invisible telehealth; insight into the holistic self: from barrier to facilitator; and, the immediate change from unnecessary distraction to mindful engagement. Findings challenge previous conclusions regarding the inability of telehealth to support meaningful relationships, and instead provide novel insights to explain why enabling rural palliative care patients to access support from home is supportive for their wellbeing and the quality of healthcare relationships. Our conclusions question whether the indirect benefits of telehealth could also offer a valuable way of accessing health services beyond a palliative care setting.
The effect of national culture on corporate policies: evidence from the U.S. corporations.

In this paper, we use data from the U.S. multinational corporations to test the relationship between national culture and corporate policies. We find that measures of national culture-such as power distance, individualism, masculinity, uncertainty avoidance, long-term orientation, and indulgence have a significant decision-making impact on corporate policies such as the level of cash holding, leverage, and dividend payout ratio. Our results indicate that cultural differences matter and offer a fresh social perspective in explaining variations in major corporate policies.
MULTIPLE REFERENCE FRAMES STATE SPACE MODELS OF BRUSHLESS DC MOTOR FOR FEEDBACK LINEARIZATION

Multiple reference frames orientated state space nonlinear mathematical models for brushless DC motors are derived in the paper using the power invariant dqo transformation in rotating and stationary form. The nonlinear state space models obtained are strictly orientated, decoupled, and linear with respect to the model parameters. This allows convenient application of advanced control theory differential geometric design approaches including multi-input multi-output feedback linearization and nonlinear adaptive systems design. Moreover the decoupling of the currents permits closed-loop nonlinear systems synthesis accomplishing simultaneous elimination of the torque pulsations and copper losses minimization. The nonlinear state space models derived are simulated to investigate their properties.
Asymmetric hybrid multilevel inverter with reduced harmonic using hybrid modulation technique

This paper studies the Asymmetric cascaded three phase multilevel inverter developed with hybrid modulation technique applied for an industrial application. The aim of this paper to reduce the Total harmonics distortion in the cascaded multi level inverter by introducing the new concept to develop the three phase CMLI. This inverter has two segments, one segment has H-bridge inverter and another segment has sequential arrangement of power semi conductor switches with asymmetrical voltage source in the ratio of 1:2. Similarly develop the segments for other phases. This new topology is called as Hybrid MLI. This hybrid MLI is used to reduce the no of semiconductor device requirement and the Total harmonics distortion. The inverter is controlled by Phase disposition (PD) and alternative phase opposition disposition PWM technique (APOD). This control technique is used to minimize the current harmonic and increase the system performance. The circuit is simulated using Matlab circuit and its performance is compared using PD and APOD PWM techniques and verified with simulation results.
Evaluation of Serum Chemerin and Lipid accumulation product as Predictors of Non-Alcoholic Fatty Liver Disease in Simple Obese Egyptian Children

Background The increase in the prevalence of obesity worldwide has led to non-alcoholic fatty liver disease (NAFLD) becoming one of the most common causes of chronic liver disease. Chemerin is a novel adipokine which regulates adipogenesis which is also a marker of systemic and vascular inflammation. Lipid accumulation product (LAP) is associated with the presence and severity of nonalcoholic fatty liver disease (NAFLD) in adults. We aimed to evaluate the clinical usefulness of both serum chemerin and LAP as predictors of NAFLD in children with simple obesity. Materials and Methods: This was a prospective cross-sectional study including 65 obese children with age range of 6–18 years old from pediatric obesity and endocrine outpatient clinic, Children’s University Hospital, Minia University, Egypt, in addition to 30 healthy children, age and sex matched as control group. The included children were subjected to careful history taking, thorough clinical examination and laboratory investigations including liver enzymes, fasting blood glucose (FBG), fasting serum insulin, lipid profile and serum chemerin. Then LAP was calculated using waist circumference and serum triglyceride. Results: Serum chemerin and LAP were significantly higher in obese children (p- 41; while serum chemerin at a cut-off point of > 271.7 ng/dl showed an 85.4% sensitivity and 51.4%% specificity for prediction of liver steatosis in our obese participants. Conclusion Based on the results, serum chemerin may be considered as an acceptable indicator of NAFLD in obese children but LAP is a more available, easy and inexpensive tool to predict NAFLD in those children.
Robust Control and Fuzzy Logic Guidance for an Unmanned Surface Vehicle

This work deals with guidance and control of an unmanned surface vehicle which has the mission to monitor au-tonomously the water quality condition in Peruvian sea onshore. The vehicle is a catamaran class with two slender bodies propelled by two electric thrusts in differential and common modes in order to maneuver in surge and in yaw directions. A multivariable control approach is proposed in order to control these two variables and a fuzzy logic-based guidance tracks predefined trajectories at the sea surface. The conjunction between robust control and guidance algorithms is validated numerically and the results show good stability and performance despite the presence of disturbance, noise sensors and model uncertainties.
Impact of the quality of hydrological forecasts on the managementand revenue of hydroelectric reservoirs – a conceptual approach

The improvement of a forecasting system and the continuous evaluation of its quality are recurrent steps in operational practice. However, the systematic evaluation of forecast value or usefulness for better decision-making is less frequent, even if it is also essential to guide strategic planning and investments. In the hydropower sector, several operational systems use medium-range hydrometeorological forecasts (up to 7–10 d ahead) and energy price predictions as input to models that optimize hydropower production. The operation of hydropower systems, including the management of water stored in reservoirs, is thus partially impacted by weather and hydrological conditions. Forecast value can be quantified by the economic gains obtained with the optimization of operations informed by the forecasts. In order to assess how much improving the quality of hydrometeorological forecasts will improve their economic value, it is essential to understand how the system and its optimization model are sensitive to sequences of input forecasts of different quality. This paper investigates the impact of 7 d streamflow forecasts of different quality on the management of hydroelectric reservoirs and the economic gains generated from a linear programming optimization model. The study is based on a conceptual approach. Flows from 10 catchments in France are synthetically generated over a 4-year period to obtain forecasts of different quality in terms of accuracy and reliability. These forecasts define the inflows to 10 hydroelectric reservoirs, which are conceptually parameterized. Relationships between forecast quality and economic value (hydropower revenue) show that forecasts with a recurrent positive bias (overestimation) and low accuracy generate the highest economic losses when compared to the reference management system where forecasts are equal to observed inflows. The smallest losses are observed for forecast systems with underdispersion reliability bias, while forecast systems with negative bias (underestimation) show intermediate losses. Overall, the losses (which amount to millions of Euros) represent approximately 1 % to 3 % of the revenue over the study period. Besides revenue, the quality of the forecasts also impacts spillage, stock evolution, production hours and production rates, with systematic overand underestimations being able to generate some extreme reservoir management situations.
Effects of spermine and putrescine polyamines on capsaicin accumulation in Capsicum annuum L. cell suspension cultures

This study examined the effects of different concentrations of spermine (Spm) and putrescine (Put) elicitors on capsaicin production at different times in cell suspension culture of peper (Capsicum annuum L‘Kahramanmaraş Hat-187’.), raised from pepper seeds. Callus was obtained from hypocotyl explants of pepper seedlings germinated in vitro conditions, and cell suspensions were prepared from calluses. Spm (0.1, 0.2 and 0.4 mg l-1) and Put (0.1, 0.2 and 0.4 mg l-1) elicitors were applied on cell suspensions, and control groups free from elicitor treatment were created. The amount of capsaicin in cells was found to be higher in the control groups and samples treated with Spm elicitors when compared to filtrates. The highest increase in the capsaicin amount in cells was determined on day 12 of elicitation with 0.2 mg l-1 Spm application. The highest capsaicin amount passing into the filtrate was determined as 0.1 mg l-1 Spm on day 8. The most effective Put concentration and time on capsaicin amount were found as 0.2 mg l-1 Put on day 12 in both cells and filtrates. The highest total capsaicin was also determined in the 0.2 mg l-1 Spm application on day 12with 312.747 ± 8.70 µg g-1 of culture. Exogenous treatment of Spm and Put elicitors affected capsaicin accumulation.
Coupling threshold theory and satellite image derived channel width to estimate the formative discharge of Himalayan Foreland rivers

We propose an innovative methodology to estimate the formative discharge of alluvial rivers from remote sensing images. This procedure involves automatic extraction of the width of a channel from Landsat Thematic Mapper, Landsat 8, and Sentinel-1 satellite images. We translate the channel width extracted from satellite images to discharge using a width–discharge regime curve established previously by us for the Himalayan rivers. This regime curve is based on the threshold theory, a simple physical force balance that explains the first-order geometry of alluvial channels. Using this procedure, we estimate the formative discharge of six major rivers of the Himalayan foreland: the Brahmaputra, Chenab, Ganga, Indus, Kosi, and Teesta rivers. Except highly regulated rivers (Indus and Chenab), our estimates of the discharge from satellite images can be compared with the mean annual discharge obtained from historical records of gauging stations. We have shown that this procedure applies both to braided and single-thread rivers over a large territory. Furthermore, our methodology to estimate discharge from remote sensing images does not rely on continuous ground calibration.
Overexpression of a moso bamboo (Phyllostachys edulis) transcription factor gene PheWRKY1 enhances disease resistance in transgenic Arabidopsis thaliana

Members of plant WRKY transcription factor families are implicated in defense responses and various other physiological processes. To study the function of WRKY transcription factors in moso bamboo (Phyllostachys edulis (Carriere) J. Houz. ), a PheWRKY1 gene (GenBank accession number: GU944762) was cloned by reverse transcription polymerase chain reaction. An overexpression vector for this gene was constructed and transformed into Arabidopsis thaliana (L.) Heynh. by an agrobacterium-mediated method. To determine the effect of PheWRKY1 gene overexpression on disease resistance in A. thaliana, the photosynthetic parameters and the expression of pathogenesis-related (PR) genes were examined after Pseudomonas syringae PV Tomato DC3000 (Pst DC3000) infection. Compared to wild-type plants, most PheWRKY1-overexpressing plants did not exhibit spreading maceration to systemic leaves and had a better photosynthetic capacity after Pst DC3000 infection. Furthermore, PheWRKY1-overexpressing plants accumulated significa.
A Novella Framework for Secure Data Aggregation in Wireless Sensor Networks using Symmetric Homomorphic Encryption Scheme (SHES)

: Wireless Sensor Networks becoming emerging Technology which consist of a variety of sensor nodes that monitor and record conditions at diverse locations. Wireless Networks are restricted with energy constraint. Data Aggregation is a method of efficient delivery of summarized results by ensuring privacy& Security. With Data Aggregation we can eliminate redundant data transmission there by reducing energy consumption & performance of the wireless sensor networks is increased. The aim of secure data Aggregation is to achieve two critical objectives namely Security & Aggregation. Here we proposed an End to End Privacy and Aggregation using Symmetric homomorphic encryption. Homomorphic Encryption is a form of encryption that allows computations to be carried out on the cipher text, thus generating an encrypted result which when decrypted matches result of operation performed on plain text. This symmetric key based homomorphic encryption significantly reduces energy consumption there by increases life time of sensor nodes.