Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of amaranth and quinoa flour to produce some bakery products to autism children

Children with autism spectrum disorders (ASD) and their caregivers face unique challenges in the children's daily eating routines and food intake patterns. Therefore, this study was carried to evaluate some bakery products as biscuit and crackers made from germinated quinoa, amaranth flour, potato puree and rice mill free gluten and casein to autism children. Chemical compositions and minerals content were determined in raw materials (germinated quinoa, amaranth flour, potato puree and rice mill) and also, physical characteristics and sensory evaluation were determined in different formulae made from raw materials at different levels. The results reported that the germinated quinoa was the highest in protein (15.23%) followed amaranth flour was 13.50%, meanwhile, crude and total dietary fiber were increased in amaranth flour followed by germinated quinoa. Moreover, the germinated quinoa and amaranth flour are a rich source of phytochemicals. Good amounts of essential minerals were determined in germinated quinoa, amaranth flour, potato puree and rice mill like potassium, sodium, calcium phosphorus, cupper, iron and manganese. The physical properties were determined in different formulae of biscuits and crackers and the results observed that the diameter of biscuits different formulae was found significantly lower than that of control biscuit and the thickness of biscuits slightly increased. The changes were reflected in spread ratio and percent spread of biscuit. Whereas, the results from the physical properties of crackers observed that the variation in these results may be caused the different crackers formulae had contained rich in fiber which absorption high amounts of water this could be increased the weight and decreased in the volume. The results from the sensory evaluation of biscuits and crackers were ensuring the resultant from the physical properties. The biscuits and crackers made from with the rice mill, potato puree, amaranth flour and germinated quinoa indicated very good nutritional properties and mineral content and hence can be considered healthy for consumption. Based on the results presented here it can be concluded that the amaranth flour and germinated quinoa are rich source of bioactive compounds and thus offers several opportunities for the development functional foods and nutraceuticals.
Multi-view Image Fusion, Supplementary Material

In this section we provide a brief comparison of our method and HDR+[2] using our Multi-view HDR fusion dataset. For this, we used the publicly available implementation [1] and we fed the algorithm both short and long exposure images. However, HDR+ expects a burst of similarly-exposed images, so we artificially reduced the exposure of the long-exposed image to match the shortexposed one. In Figure 1 we can see an example from our results. While our method is able to align and fuse both images, HDR+ struggles with the large disparity between them and produces alignment artifacts.
Utilization of Energy Storage System for Frequency Regulation in Large-Scale Transmission System

As the penetration rate of renewable enery resources (RES) in the power system increases, uncertainty and variability in system operation increase. The application of energy storage systems (ESS) in the power system has been increased to compensate for the characteristics of renewable energy resources. Since ESS is a controllable and highly responsive power resource, primary frequency response and inertia response are possible in case of system contingency, so it can be utilized for frequency regulation (FR) purposes. In frequency regulation, reduction of the Rate of Change of Frequency (RoCoF) and increase the frequency nadir by improving the response characteristics are important factors to secure frequency stability. Therefore, it is important to control ESS with proper parameters according to changing system situation. In this paper, we propose a method to calculate and apply a frequency droop, which is basically required according to the power system condition based on swing equation and effective inertia assessment. In addition, a method to estimate RoCoF droop according to the correlation with frequency by estimating the systematic inertia in the current situation is proposed. The case study for verification of the proposed method was performed through dynamic simulation using actual Korean power system data. The results show that the proposed method is more effective than the governor-free of the conventional thermal generator and conventional droop control-based FR-ESS.
Demand Conditions According to Porter’s Diamond and Competitive Advantage of Automotive Firms in Pakistan

The purpose of this study was to investigate theoretical and practical implications of Porter’s diamond demand conditions attribute improving the performance of firms in the automotive industry of Pakistan. Empirical based, positivism philosophy governs the study; pilot study was the integral part which entailed finalizing the self-administered questionnaire through which instrument reliability and validity established. Research methodology included various facets of empirical research. Data analysis and findings drawn by applying statistics, both descriptive and inferential. Justified by study findings safe conclusions drawn that Porter’s diamond demand conditions do have the strength to provide positive impact on the performance of firms operating in the auto industry. Through this study industry players arguably gain insight on diamond conditions context and improve the performance of firm. This is the first time such study was conducted in Pakistan. Demand conditions determinant study made contribution to theory and supported that Porter’s diamond demand conditions are viable component to be applied on industry like automotive. Practical implications include improving the performance of firms by effective use of demand conditions determinant by the practicing managers. Government can understand the concept of demand conditions and its positive implication for the industry. The diamond theory demand conditions attribute is tested for the first time in automotive industry of Pakistan. The study results are specific to the auto industry of Pakistan. Generalizability of results in other industries may be tested with further future research.
Research on hybrid SHEPWM based on different switching patterns

This paper presents a hybrid pulse width modulation (HPWM) strategy based on different switching patterns of selective harmonic elimination pulse width modulation (SHEPWM) for the three-level neutral point clamped (3L-NPC) converter. Specific low-order harmonics can be eliminated by SHEPWM at low switching frequency, while the remaining high-order harmonics can be selected to be simply filtered by additional hardware. Large oscillation waveform usually occurs in the transition instant between two diverse modulation situations, therefore switching between distinct switching patterns can be problematic if no effective means is taken, especially when the effect of smooth and fast transition at any time is considerable. A universal and valid control strategy, which maintains the high-quality output voltage and current, is proposed and implemented in this paper to address this issue. Simulation results obtained from MATLAB/SIMULINK are presented to analyze the performance and validate the feasibility and effectiveness of this control scheme.
Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data

As a key parameter that represents the structural characteristics and biophysical changes of crop canopy, the leaf area index (LAI) plays a significant role in monitoring crop growth and mapping yield. A considerable amount of farmland is dispersed with strong spatial heterogeneity. The existing time series satellite LAI products fail to capture spatial distributions and growth changes of crops due to coarse spatial resolutions and spatio-temporal discontinuities. Therefore, it becomes crucial for fine resolution LAI mapping in time series over crop areas. A two-stage data assimilation scheme was developed for dense time series LAI mapping in this study. A LAI dynamic model was first constructed using multi-year MODIS LAI data. This model coupled with the PROSAIL radiative transfer model, and MOD09A1 reflectance data were used to retrieve temporal LAI profiles at the 500 m resolution with the assistance of the very fast simulated annealing (VFSA) algorithm. Then, the LAI dynamics at the 500 m scale were incorporated as prior information into the Landsat 8 OLI reflectance data for time series LAI mapping at the 30 m resolution. Finally, the spatio-temporal continuities and retrieval accuracies of assimilated LAI values were assessed at the 500 m and 30 m resolutions respectively, using the MODIS LAI product, fine resolution LAI reference map and field measurements. The results indicated that the assimilated the LAI estimations at the 500 m scale effectively eliminated the spatio-temporal discontinuities of the MODIS LAI product and displayed reasonable temporal profiles and spatial integrity of LAI. Moreover, the 30 m resolution LAI retrievals showed more abundant spatial details and reasonable temporal profiles than the counterparts at the 500 m scale. The determination coefficient R2 between the estimated and field LAI values was 0.76 with a root mean square error (RMSE) value of 0.71 at the 30 m scale. The developed method not only improves the spatio-temporal continuities of the LAI at the 500 m scale, but also obtains 30 m resolution LAI maps with fine spatial and temporal consistencies, which can be expected to meet the needs of analysis on crop dynamic changes and yield mapping in fragmented and highly heterogeneous areas.
LDH is a prognostic factor in stage IV melanoma patients (pts) but is a predictive factor only for bcl2 antisense treatment efficacy: Re-analysis of GM301 and EORTC18951 randomized trials

8552 Background: Two large studies with identical eligibility criteria and using serum LDH as stratification for randomization were re-analyzed in order to 1) confirm the prognostic importance of LDH in advanced melanoma; 2) to assess whether an interaction between LDH and treatment efficacy exists. Methodology: Oblimersen (OBL) trial GM301 randomized 771 pts between DTIC vs. DTIC+OBL, whereas EORTC trial 18951 randomized 365 pts between biochemotherapy vs biochemotherapy+IL2 (JCO, 2004). LDH was divided into 5 groups: 5 UNL. Cox model was used to asses the prognostic importance of LDH, treatment difference and LDH-treatment interaction regarding the main endpoint, overall survival (OS). Results: In each study LDH appeared to be of strong and incremental prognostic importance (p<0.0001): the higher the LDH the shorter the OS. Median OS in pts with LDH<0.8 UNL was ±1 yr vs. 5 UNL. In both trials, pts with LDH 0.8–1.1 UNL had already a shorter median OS (± 9 months) as compared to the <0.8 group. In each st.
Propose, Analysis and Simulation of an All Optical Full Adder Based on Plasmonic Waves using Metal-Insulator-Metal Waveguide Structure

(Received 10 Jun. 2019; Revised 21 Jul. 2019; Accepted 8 Aug. 2019; Published 15 Sep. 2019) Abstract: This paper proposes a full adder with minimum power consumption and low loss with a central frequency of 1550nm using plasmonic Metal-Insulator-Metal (MIM) waveguide structure and rectangular cavity resonator. This full adder operates based on XOR and AND logic gates. In this full adder, the resonant wave composition of the first and second modes has been used and we have obtained a high transmission coefficient in the states in which the output must be active. This full adder uses the AND and XOR logic gates to be designed with three inputs, which results in the design of a full adder with lower complexity, lower cost and fewer losses than Other full adders in which AND and XOR logic gates are combined to be designed with two inputs. The related simulations were performed by FDTD. The obtained results presented a performance similar to the predicted models, while considering approximations with theoretical relations.
The Impact of Weather Conditions and Availability of Batteries on the Cost Recovery of Gas Turbines as Backup Capacity in a Renewable Dominated System

With an increasing the share of photovoltaic and wind in the generation mix, the power supply reduces its CO2 emission and becomes more weather dependent. Their volatile power output asks for a compensation by backup technologies. Gas turbines and other backup technologies need to handle diverse incidents of scarcity ranging from single peaks of uncovered load to longer scarcity periods. The analysis of two contrary weather years by the agent-based model AMIRIS shows the range of the scarcity incidents and determines the cost recovery of back technologies depending on weather conditions and the availability of batteries. Batteries can mitigate the scarcity only to some extent due to their technical limitations. At the same time, they diminish the investment basis for capital intense backup technologies. The emergence of batteries leads to a four times lower margin of the backup capacity. Mild weather conditions with a high renewables output divide the margin in half compared to extreme weather conditions. Despite the volatile backup energy request and income basis for the different scenarios, a similar level of backup capacity needs to be installed to cover the constantly high maximum scarcity peak. As investments are unlikely considering the lacking cost recovery and volatile revenue streams, additional revenue streams are needed to guarantee a sufficient level of secured capacity for maintaining the security of supply.
Achieving Privacy-Preserving Iris Identification Via El Gamal

: Currently, many biometric systems maintain the user’s biometrics and templates in plaintext format, which brings great privacy risk to uses’ biometric information. Biometrics are unique and almost unchangeable, which means it is a great concern for users on whether their biometric information would be leaked. To address this issue, this paper proposes a confidential comparison algorithm for iris feature vectors with masks, and develops a privacy-preserving iris verification scheme based on the El Gamal encryption scheme. In our scheme, the multiplicative homomorphism of encrypted features is used to compare of iris features and their mask information. Also, this paper improves the Hamming distance of iris features, which makes the similarity matching work better than existing ones. Experimental results confirm the practicality of our proposed schemes in real world applications, that is, for the iris feature vectors and masks of 2048 bits, nearly 12 comparisons can be performed per second.
You’re from where? The influence of distance factors on cross-cultural adjustment

This study empirically tests the influence of various distance factors on expatriate cross-cultural adjustment. Expatriate perceptions of home and host country differences, objective measures of distance and the accuracy of expatriate evaluations of host country distance were compared as predictors of expatriate adjustment difficulty in the host country. The results revealed that perceived distance, objective cultural distance and the expatriate’s perceptual inaccuracy had a significant effect on expatriate adjustment difficulty for one’s first assignment. However, on subsequent assignments all measures of distance were significant. Adjustment became more difficult as perceptual accuracy improved.
Construction duration predictive model based on factorial analysis and fuzzy logic

Setting the building construction duration for vertical residential works is made still in the study phase of economic and financial feasibility of the project and, in most cases, in an empirical way, increasing the uncertainties and the risks to fulfill the set deadline. However, there are computational intelligence tools that can contribute to reduce the degree of uncertainty. This study aimed to investigate the use of a hybrid system to estimate the deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy Systems. To this end, we used information of a database from the SEURB and in some buildings construction companies in Belem, a city located in the State of Para, northern of Brazil. For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential buildings were used for its validation. The results showed a significant level of assertiveness, with 75% accuracy considering a range, whose upper and lower limits were calculated from MAPE and MASE. The model presented a prediction performance superior to other models already consecrated in the literature.
EVALUATION OF SAFETY AND EFFICACY OF HYPONIDD, AN AYURVEDIC COMPOUND: A DOUBLE BLIND, PLACEBO CONTROLLED STUDY IN TYPE 2 DIABETIC PATIENTS WITH SECONDARY FAILURE TO ORAL DRUGS

To determine the efficacy of an Ayurvedic preparation, Hyponidd in type 2 diabetic patients with secondary failure to oral hypoglycemic agents, a randomized double blind, single centre, study of 12 weeks duration was carried out. 40 type 2 diabetic patients who satisfied the inclusion criteria were recruited for the study. Out of 40 patients, 32 completed the trial, 16 in the Hyponidd arm and 16 in the placebo arm. There was a non-significant reduction in the fasting and postprandial plasma glucose levels in the group treated with Hyponidd. A significant reduction in the glycosylated haemoglobin levels was noted in the drug group (p<0.05). No adverse events were noted in patients treated with Hyponidd, except for one patient who had elevated liver enzymes.
The typing of communicating sequential processes

As an imperative concurrent programming language, CSP is considered weakly typed. We equip CSP with a formal second-order type system. The types of processes and prefixed processes are distinguished and they are treated as generic types that can be instantiated by the subtypes of alphabets. The bounded quantifier is introduced to represent bounded generics.
MINDFULNESS MEDIATES SELF-STIGMA AND DISTRESS 1 The Mediating Effect of Mindfulness on the Relationship Between Mental Illness Self-Stigma and General Psychological Distress: A Cross-Sectional Study

Mental illness self-stigma is the devaluation, shame, secrecy, and social withdrawal triggered by applying negative stereotypes about mental illness to oneself. Evidence suggests that this form of self-stigma is associated with increased psychological distress and reduced quality of life. Mindfulness is the process of non-judgmental and accepting attention to experiences in the present moment, which may account for the link between mental illness self-stigma and psychological distress. The proposed cross-sectional survey of a non-clinical college sample aimed to investigate (1) whether mental illness self-stigma is positively associated with psychological distress and (2) whether mindfulness mediates the association between mental illness self-stigma and psychological distress. The results of the study revealed that mental illness self-stigma (and a modified version intended to capture self-stigma for general psychological distress) is positively associated with psychological distress and that mindfulness acts as a partial mediator on this relationship. Mindfulness may partially explain this link by capturing how individuals mentally process the negative associations of mental illness stereotypes. MINDFULNESS MEDIATES SELF-STIGMA AND DISTRESS 3 Table of
An Image Fusion Algorithm Based on Wavelet Transform and Fourier Measurement Matrix

The traditional image fusion algorithms carry out fusion based on the information of all the pixels in the original images. This leads to the problem of high time and space complexity for the fusion algorithms. To solve this problem, this paper proposes an improved image fusion algorithm based on wavelet transform and Fourier random measurement matrix. The proposed fusion algorithm only acts on a small amount of data after the compressive sensing sampling. The image fusion is completed in the compressive sensing domain. The fused image is reconstructed by the orthogonal matching tracking algorithm. The experimental results show that this proposed image fusion algorithm based on wavelet transform and Fourier random measurement matrix has good performance.
Numerical Simulation of the Dynamics of a Droplet in a Low-gravitational Field

The dynamics of a liquid droplet in a low gravitational field is examined using a finite difference/front tracking projection-based numerical technique. The unsteady, incompressible, viscous, immiscible multi-fluid, two-dimensional Navier-Stokes equations for both the liquid and the gas are solved using the single-fluid model. The droplet deformation and the gas wake generation and oscillations phenomena is studied. Copyright © 2016 Penerbit Akademia Baru All rights reserved.
Paracremonium moubasheri, a new species from an alkaline sediment of Lake Hamra in Wadi-El-Natron, Egypt with a key to the accepted species

During surveys of extremophilic fungi in hypersaline, alkaline lakes of Wadi-El-Natron, Egypt, an interesting fungus was recovered from a mud sample collected from Lake Hamra in Wadi-El-Natron, Egypt. Maximum likelihood analysis of Internal Transcribed Spacer (ITS) gene along with morphological comparisons of related taxa revealed a novel taxon, Paracremonium moubasheri which is described and illustrated in the current study. Paracremonium moubasheri can be distinguished from the known species of the genus by its large conidia, in addition to the presence of chlamydospores.
OTT_A_218158 8715..8724

Department of Biochemistry and Molecular Biology, Basic Medical College of Jiujiang University, Jiujiang City, Jiangxi Province 332000, People’s Republic of China Purpose: This study aimed to explore the role of Estrogen Receptor-β (ERβ)-mediated Notch signaling pathway in the regulation of proliferation and apoptosis in liver cancer cells. Methods: HepG2 cells (Pbi-EGFP-ER) were transfected with ERβ that mediated by liposome, and normal HepG2 cells (Blank) and empty plasmid-transfected HepG2 cells (Pbi-EGFP-C) were used as controls. Then, Huh7 cells were transfected with shERβ lentivirus to knock down ERβ expression. The Huh7 cells were divided into three groups including Blank, experimental group (shERβ) and negative group (shLuc). Then, qRT-PCR, Western blot, CCK-8 assay, cell scratch assay, Transwell assay, Annexin V-FITC and PI double staining were performed based on these groups. Finally, a mouse xenograft model was constructed to verify the regulation of ERβ on Notch signaling pathway in liver cancer. Results: In HepG2 cells, the ERβ expression in Pbi-EGFP-E group was higher than that in Blank and Bi-EGFP-C group. Overexpression of ERβ inhibited HepG2 cell proliferation, migration, invasion and Ki67 protein expression, as well as promoted apoptosis, Bcl-2 and Bax expression. Overexpression of ERβ decreased Notch1, Notch2 and Hes1 expression. In Huh7 cells, the effect of low ERβ expression was contrary to that of high ERβ expression. The shERβ + DAPT group reversed the effect of shERβ on the volume and weight of transplanted tumors. Conclusion: ERβ may inhibit the development of liver cancer and promote apoptosis via inhibiting the Notch pathway.