Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality, phenolic compound and antioxidant activity of wines from Sangyod rice grain, paddy and husk during fermentation

The objective of this study was to utilize husk, byproduct from milling, and paddy of Sangyod rice that rich in bioactive compound to produce value added product as wine by reducing milling step of paddy. Quality changes, total phenolic content and antioxidant activity of wines from Sangyod rice grain, paddy and husk were monitored throughout the fermentation period. The acceptance of finished products from consumer drinking wine was also investigated. Alcohol content of three types of wine increased as the fermentation time increased. Paddy wine showed the fastest alcohol production following by rice grain and husk wine, respectively (P<0.05). Generally, total soluble solid and pH of wines decreases as the fermentation time increased. Yeast and mold increased throughout the fermentation time. As the fermentation time increased, total phenolic content and antioxidant activity including DPPH radical scavenging activity, ferric reducing antioxidant power (FRAP) and metal chelating activity increased throughout the fermentation period (P<0.05) related to total phenolic content. Total phenolic content in three types of wines increased from 32-53 to 125-178 (mg GAE/ml). Generally, paddy wine possessed the highest total phenolic content and antioxidant activities when compared with rice grain and husk wine (P<0.05). From the sensory evaluation including appearance, odor, taste and overall liking, the scores of rice grain and paddy wines were moderate, while the lowest scores in all attributes was observed in husk wine (P<0.05). Rice grain, paddy and husk wines obtained were amber in color (L*=10.11-16.27, a*=8.07-14.91, b*=10.8-12.18). Thus, the changes of quality, total phenolic contents and antioxidant activity of wine during fermentation were governed by raw material used and fermentation time. Additionally, Sangyod rice grain and paddy could be used as potential raw material for wine production and the wines obtained could be served as potential drinks for health, since containing bioactive compound as antioxidant.
Robust H∞ Control for ICPT Process With Coil Misalignment and Time Delay: A Sojourn-Probability-Based Switching Case

In this paper, the robust <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> control problem is studied for the inductively coupled power transfer (ICPT) process with coil misalignment, energy bounded interference and time-varying delay. The problem of coil misalignment between the primary and secondary coils are considered, and the time varying coupling coefficient are described in a sojourn-probability-based switch model. A set of random variables are utilized to describe the sojourn probabilities of the finite modes of the coil misalignment. It should be pointed out that the sojourn probability of the <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula>th subsystem is obtained by the off-line statistical test instead of prescribed by hand, which is of more closer physical significance due to its engineering practice. Corresponding to the proposed switching systems, a set of controllers with time-varying delays are constructed. By resorting to the Lyapunov stability theory, the matrix analysis, and the stochastic analysis tools, the delay-dependent sufficient criteria with less conservatism are derived to guarantee the mean square stability of the ICPT system and the given interference attenuation level <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>. The feedback gains of the desired controller can be readily obtained by using the control toolbox in Matlab software. Three cases of the illustrative examples without exception verify the effectiveness of the suggested modeling method and control scheme.
Risk-Averse Cooperative Operation of PV and Hydrogen Systems in Active Distribution Networks

Environmental emissions and decreasing costs of renewable energy sources (i.e., photovoltaic (PV), wind, hydrogen (H2), etc.) are prompting a sharp increase in renewable energy penetration into the grid. Among various energy sources, H2 energy with its promising technical, economic, and environmental merits has demonstrated great potential for large deployment in distribution systems. This article proposes a multiobjective network-constrained framework for the day-ahead scheduling of hydrogen systems (HS), including hydrogen production from water electrolysis by electrolyzers, hydrogen storage, stationary fuel cells, and fueling of fuel cell electric vehicles (FCEVs). This framework includes various physical constraints to ensure reliable operation and considers integrated demand response and conservation voltage reduction, and reactive power support from HSs for realistic day-ahead scheduling. It also incorporates the cooperative operation of PV units and HSs to supply power for water electrolysis from stationary HSs equipped with onsite PVs. Moreover, conditional value-at-risk is applied to address the risk of PV output, FCEVs’ H2 demand, loads, and market price. The proposed model is formulated as a mixed-integer linear programming problem and validated by testing on a 33-node distribution test feeder.
Uniformly Dispersed Freestanding Carbon Nanofiber/Graphene Electrodes Made by a Scalable Biological Method for High‐Performance Flexible Supercapacitors

A novel facile and scalable strategy is developed to prepare freestanding carbon nanofiber/graphene nanosheet composites using a scalable membrane–liquid interface culture method followed by carbonization. The carbon nanofibers (CNFs) and graphene nanosheets (GNs) are uniformly dispersed in a three‐dimensional (3D) conductive architecture. Robust mechanical properties are demonstrated with fine flexibility, good structure stability, and high specific surface area. As supercapacitor electrodes, the 3D nanocomposite delivers good electrochemical performance with a high capacitance of 215 F g−1 at 1 A g−1 and extraordinary cycling stability with no capacitance degradation after 5000 cycles, which are among the best carbon electrodes in supercapacitors. The energy density is as high as 20 Wh kg−1 at a power density of 900 W kg−1, superior to other CNF‐based electrode materials. The superb electrochemical performance of the 3D nanocomposite electrode is ascribed to the unique structure: 3D conductive network, uniform dispersion of carbon nanofibers and graphene nanosheets, robust mechanical property, and large specific surface area. The combination of facile fabrication method, good performance, and robust mechanical property makes the 3D nanocomposites very promising as a new type of superior supercapacitor electrodes.
Impact of Soil Aeration on the Environmental Fate of Pre-Emergent Herbicide Metolachlor

The impact of the aeration status of soils on the environmental fate of the soil-applied pre-emergent herbicide metolachlor is of significance to sustainable agriculture practices and has not been investigated thoroughly by existing research works. To address this knowledge gap, we examined the adsorption, desorption, degradation, and mineralization of radioactively labeled [14C] metolachlor in Catlin, Flanagan, and Drummer soils under aerobic and anaerobic conditions. Based on our findings, anaerobic conditions in the soil significantly reduced the adsorption of 14C-metolachlor while also promoting its desorption, thereby potentially releasing a greater amount of herbicide from the soil after a field application. The first-order degradation and mineralization kinetics of 14C-metolachlor were distinctively enhanced by anaerobic conditions in all the soils tested. Furthermore, the degradation and mineralization rates of 14C-metolachlor in non-sterilized versus sterilized soil microcosms clearly indicated microbial activity in the degradation of metolachlor in soil. The results from this study suggest that soil redox conditions could impact the bioavailability and environmental fate of herbicide metolachlor and should be taken into consideration as part of sustainable weed management programs.
Tensions in talent identification: a multi-stakeholder perspective

Abstract Research on how organisations identify talent in practice remains limited. Too often it appears that the most core construct – talent – is taken for granted in terms of how key stakeholders make sense of and give meaning to it in practice. This paper examines the talent definitions held by multiple organisational stakeholders and the criteria used in the practice of identification. Drawing from content analysis of over 200 interviews, our findings demonstrate substantial discrepancies between senior leaders’ and talents’ view on the meaning of talent within organisations. Moreover, there was little awareness of the identification criteria used by decision-makers that gives individuals the talent designation. Given the potential impact of this designation on employee attitudes, behaviours, and performance, the seemingly limited relationship between the meaning ascribed to talent and the identification criteria used in practice is likely to raise concerns about fairness and transparency. The findings indicate the absence of a shared and well-defined talent philosophy which we suggest is needed to guide talent management practices.
An IoT Based Smart Wearable Device for Women Safety

Women are subjected to an increasing amount of harassment these days, which is troubling. The situation is extremely serious in both developing and developing countries. As a result, it poses a serious threat to women's empowerment as well as a country's fiscal development. We are developing IoT software and an Android app to make women's movement safer in this project. By pressing the device's emergency button, women will receive immediate and comprehensive safety assistance. In the event of an incident, this system will monitor the user's location in real time and send it to a local police station and volunteer. This device will also provide the user with the location of the nearest safe zone. Furthermore, this interface can be used both online and offline. If the user does not have access to the internet, the computer can also be used to contact the nearest police station and volunteer assistance. Arduino uno, GPS, GSM, Bluetooth, and other components make up the system. The combination of both of these factors makes this product both inexpensive and simple to use.
Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Random Tree (RT) and Iterative Classifier Optimizer (ICO) based on Alternating Model Tree (AMT) regressor machine learning (ML) algorithms coupled with Bagging (BA) or Additive Regression (AR) hybrid algorithms were applied to forecasting multistep ahead (up to three months) Lake Superior and Lake Michigan water level (WL). Partial autocorrelation (PACF) of each lake’s WL time series estimated the most important lag times — up to five months in both lakes — as potential inputs. The WL time series data was partitioned into training (from 1918 to 1988) and testing (from 1989 to 2018) for model building and evaluation, respectively. Developed algorithms were validated through statistically and visually based metric using testing data. Although both hybrid ensemble algorithms improved individual ML algorithms’ performance, the BA algorithm outperformed the AR algorithm. As a novel model in forecasting problems, the ICO algorithm was shown to have great potential in generating robust multistep lake WL forecasts.
Magnetic Diversity in Heteroisocorroles: Aromatic Pathways in 10-Heteroatom-Substituted Isocorroles

A recent study on magnetically induced currents in 10-isocorrole derivatives indicated that both the free-base and metal-complexed forms of the unsubstituted macrocycle are homoaromatic. Furthermore, depending on the substituents at the 10-position, the aromatic character was found to swing between substantially homoaromatic to substantially antihomoaromatic. Heteroisocorroles, in which the saturated 10-position has been replaced by a heteroatom-containing group X, are predicted to exhibit even more dramatic variations in aromatic character, ranging from strongly aromatic (X = O, NH, PH, and S) to strongly antiaromatic (X = BH and CO). Interestingly, the experimentally studied X = SiMe2 case does not appear to sustain a significant global ring current.
Risk Assessment of Express Delivery Service Failures in China: An Improved Failure Mode and Effects Analysis Approach

With the rapid growth of express delivery industry, service failure has become an increasingly pressing issue. However, there is a lack of research on express service failure risk assessment within the Failure Mode and Effects Analysis (FMEA) framework. To address the research gap, we propose an improved FMEA approach based on integrating the uncertainty reasoning cloud model and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The cloud model describing randomness and fuzziness in uncertainty environment is adopted to achieve the transformation between the qualitative semantic evaluation of occurrence (O), severity (S), and detection (D) risk factors of FMEA and the quantitative instantiation and set up the comprehensive cloud of risk assessment matrix for express delivery service failure (EDSF). The TOPSIS method calculates and ranks the relative closeness coefficients of EDSF mode. Finally, the rationality and applicability of the proposed method are demonstrated by an empirical study for the express delivery service in China. It is found that among 18 express delivery service failure modes, six service failure modes with high risk are mainly located in the processing and delivery stages, while six service failures with the relatively low risk are involved in the picking-up and transportation stages. This study provides insight on how to explore the risk evaluation of express delivery service failure, and it helps express delivery firms to identify the key service failure points, develop the corresponding service remedy measures, reduce the loss from service failures, and improve the service quality.
Modeling the potential of microorganisms on the removal of 2,4-dichlorophenoxyacetic acid from aqueous solutions by adsorption

MODELING THE POTENTIAL OF MICROORGANISMS ON THE REMOVAL OF 2-4-DICHLOROPHENOXYACETIC ACID FROM AQUEOUS SOLUTIONS BY ADSORPTION OVA, Duygu Master Thesis, Chemical Engineering Department Supervisor: Prof. Dr. Bikem ÖVEZ July 2010, 186 pages In this study, experiments were done with two different methods for the removal of 2,4-D in a batch and continuous mode and granular activated carbon was used as the adsorbent. These experiments were performed in the presence of microorganisms, which are aquarium water, Gracilaria verrucosa, Acidovorax Avenae Subsp. Avenae LMG 17238, Chlorella sp. , Spirulina platensis, and without any microorganism in comparison. In the batch experiments, kinetics/time, isotherm/concentration, thermodynamic, and the effect of biological contamination on adsorption were studied. Blank experimental data fit to the pseudo-second order kinetic model with a calculated adsorption capacity of 256.41 mg/g at 25°C where in the case of microorganism, the process turns out to obey the pseudo-first order kinetic model with a calculated adsorption capacity of 164.17 mg/g at 25°C. It is obvious that the presence of microorganisms affect the adsorption capacity of granular activated carbon negatively. The batch studies data were described using the Langmuir, Freundlich, Toth, Redlich-Peterson, Sips and BET model isotherms with the help of MATLAB 7.7. 0 Curve Fitting Tool Box. Regarding the correlation coefficients, the experimental data best fit in the order of Toth, Sips and then Redlich-Peterson for the blank case and in the order of Redlich-Peterson, Toth and then Langmuir for microorganism case.
Migrants’ pathways to aged care: the role of local relationships of care in facilitating access for super-diverse older populations

Abstract The literature on older migrants often focuses on identifying the characteristics of ethnic groups that constitute ‘barriers’ for members of these populations to access care. This paper offers an alternative conceptualisation of access to care, by combining relational approaches to place and the notion of super-diversity. From this perspective, ‘access to care’ is perceived as an outcome of an individual's embeddedness in relationships of care in urban places. The objective of the study is to identify relationships of care that facilitate access to aged care for older first-generation migrants. Thirty-two semi-structured interviews were conducted with older migrants who were residents of Nijmegen or The Hague, The Netherlands. All interviewees had accessed home care, home aid and/or day care. Both relationships with minority-specific services and informal relationships of care, particularly those within local minority communities, were found to facilitate access to aged care. Past experiences with health and social care were also found to influence current relationships with formal care providers. This study, therefore, suggests that policy makers and care organisations should build long-term positive relationships with new and incoming migrant groups. In addition, it argues that policy makers and care providers should identify locally relevant shared migration-related (rather than ethnic) identities around which communities can be mobilised and targeted with appropriate services.
Comparison of Time Usage and Success Rate Between CT Angiography- and CT Perfusion- Based Imaging Assessment Strategy for the Patients with Acute Ischemic Stroke

Background: Our study aimed to compare the time usage and success rate between CTA- and CTP- based assessment strategy, and to clarify the risk factors associated with CTP scan failure. Methods: Clinical and radiological data of 437 consecutive AIS patients who underwent multiphase CTA or CTP for pre-treatment evaluation were retrospectively enrolled (CTA group, n=302; CTP group, n=135). Time usage and success rate of CTA and CTP were compared using Mann-Whitney U test and Chi-Squared Test. Univariate analysis and receiver operating curve analysis were used to clarify the risk factors and their values for predicting CTP scan failure.Results: Time usage of CTP scan and reconstruction was significantly longer than that of CTA [775sec vs 263.5sec, P<0.001]. CTP scan showed significantly higher failure rate than CTA (11% vs 1%, P<0.001). Severe motion was the most common cause of CTP failure (n=12, 80%). Baseline National Institute of Health Stroke Scale (NIHSS) score in CTP failure group was significantly higher than that in CTP success group [17 vs 13, P=0.007]. Baseline NIHSS score of 11 was the optimal threshold to predict CTP failure with an area under the curve of 0.771, sensitivity of 86.7% and specificity of 45.0%. Conclusions: CTP-based strategy showed longer time consumption and higher failure rate than CTA-based strategy. High baseline NIHSS score was significantly associated with CTP scan failure in AIS patients.
Facilitating EMA binding test performance using fluorescent beads combined with next‐generation sequencing

The eosin‐5′‐maleimide (EMA) binding test is widely used as diagnostic test for hereditary spherocytosis (HS), one of the most common haemolytic disorders in Caucasian populations. We recently described the advantages of replacing the use of healthy control blood samples with fluorescent beads in a modified EMA binding assay. In this study we further explore this novel approach. We performed targeted next‐generation sequencing, modified EMA binding test and osmotic gradient ektacytometry on consecutive individuals referred to our laboratory on the suspicion of HS. In total, 33 of 95 carried a (likely) pathogenic variant, and 24 had variants of uncertain significance (VUS). We identified a total 79 different (likely) pathogenic variants and VUS, including 43 novel mutations. Discarding VUS and recessive mutations in STPA1, we used the occurrence of (likely) pathogenic variants to generate a diagnostic threshold for our modified EMA binding test. Twenty‐one of 23 individuals with non‐SPTA1 (likely) pathogenic variants had EMA ≥ 43.6 AU, which was the optimal threshold in receiver operating characteristic (ROC) analysis. Accuracy was excellent at 93.4% and close to that of osmotic gradient ektacytometry (98.7%). In conclusion, we were able to simplify the EMA‐binding test by using rainbow beads as reference and (likely) pathogenic variants to define an accurate cut‐off value.
Plasma-based Endogenous Metabolomics Profiling of High-Risk Human Papillomavirus and Their Emerging Roles in the Progression of Cervical Cancer

Objective: High-risk human papillomavirus (HR-HPV) is the main etiological factor for cervical cancer. Accumulating evidence has suggested that the active role of metabolites in the initiation and progression of cancers. This study was to explore the metabolic profiles of HR-HPV infection and their potential functions in cervical cancer.Methods: Non-targeted metabolomics approach was used to detect metabolic alterations in the plasma obtained from HPV-16 positive (HPV16 (+)), HPV-18 positive (HPV18 (+)) and HPV negative (CTL) individuals, followed by CCK8 experiment to detect the effect of different metabolites on the proliferation of Hela and GH354. A cell migration test then verified significant metabolites on the migration of Hela and GH354. Q RT-qPCR and western blot were used to detect malignant progression related mRNA and protein expression levels of cervical cancer.Results: HR-HPV groups shared 24 dysregulated metabolites (such as amino acids, ceramides, glycerophosphocholines). Further experiments showed ceramide species, including C8 inhibits cervical cancer cells proliferation and migration in vitro. In contrast, C12 significantly enhanced cervical cancer cells proliferation and migration in vitro. Protein and mRNA expressions indicated C8 and C12 were related to the malignant behavior of cervical cancer in vitro. The underlying mechanism demonstrated that C8 intervention inhibited proliferation and migration in cervical cancer cells via the MAPK/JNK signaling pathway, while C12 intervention promoted proliferation and migration in cervical cancer cells via the MAPK/ERK signaling pathway. These findings may contribute to the treatment of HR-HPV-induced cervical cancer by intervening in its initiation and progression.Conclusion: Our study shed some light on how metabolites influenced the relationship between HR-HPV oncogenic capability and metabolic phenotype change and identify species C8 and C12 as critical lipid metabolites that modulate cervical cancer cell’s function.
Modulating Electron Beam–Sample Interactions in Imaging and Diffraction Modes by Dose Fractionation with Low Dose Rates

Abstract Technological opportunities are explored to enhance detection schemes in transmission electron microscopy (TEM) that build on the detection of single-electron scattering events across the typical spectrum of interdisciplinary applications. They range from imaging with high spatiotemporal resolution to diffraction experiments at the window to quantum mechanics, where the wave-particle dualism of single electrons is evident. At the ultimate detection limit, where isolated electrons are delivered to interact with solids, we find that the beam current dominates damage processes instead of the deposited electron charge, which can be exploited to modify electron beam-induced sample alterations. The results are explained by assuming that all electron scattering are inelastic and include phonon excitation that can hardly be distinguished from elastic electron scattering. Consequently, a coherence length and a related coherence time exist that reflect the interaction of the electron with the sample and change linearly with energy loss. Phonon excitations are of small energy (<100 meV), but they occur frequently and scale with beam current in the irradiated area, which is why we can detect their contribution to beam-induced sample alterations and damage.