Miracle-dz/UniFAR-FTUs huggingface dataset:
The Power System and Microgrid Protection—A Review

In recent years, power grid infrastructures have been changing from a centralized power generation model to a paradigm where the generation capability is spread over an increasing number of small power stations relying on renewable energy sources. A microgrid is a local network including renewable and non-renewable energy sources as well as distributed loads. Microgrids can be operated in both grid-connected and islanded modes to fill the gap between the significant increase in demand and storage of electricity and transmission issues. Power electronics play an important role in microgrids due to the penetration of renewable energy sources. While microgrids have many benefits for power systems, they cause many challenges, especially in protection systems. This paper presents a comprehensive review of protection systems with the penetration of microgrids in the distribution network. The expansion of a microgrid affects the coordination and protection by a change in the current direction in the distribution network. Various solutions have been suggested in the literature to resolve the microgrid protection issues. The conventional coordination of the protection system is based on the time delays between relays as the primary and backup protection. The system protection scheme has to be changed in the presence of a microgrid, so several protection schemes have been proposed to improve the protection system. Microgrids are classified into different types based on the DC/AC system, communication infrastructure, rotating synchronous machine or inverter-based distributed generation (DG), etc. Finally, we discuss the trend of future protection schemes and compare the conventional power systems.
Improving therapeutic potential of non-viral minimized DNA vectors

The tragic deaths of three patients in a recent AAV-based X-linked myotubular myopathy clinical trial highlight once again the pressing need for safe and reliable gene delivery vectors. Non-viral minimized DNA vectors offer one possible way to meet this need. Recent pre-clinical results with minimized DNA vectors have yielded promising outcomes in cancer therapy, stem cell therapy, stem cell reprograming, and other uses. Broad clinical use of these vectors, however, remains to be realized. Further advances in vector design and production are ongoing. An intriguing and promising potential development results from manipulation of the specific shape of non-viral minimized DNA vectors. By improving cellular uptake and biodistribution specificity, this approach could impact gene therapy, DNA nanotechnology, and personalized medicine.
Bioassay Essential Oils on Tribolium castaneum and Tribolium confusum (Coleoptera: Tenebrionidae)

Background: Tribolium confusum and Tribolium castaneum are pests spread inside the stores and homes. These pests infest stored grains and many others seeds in the stores and bakery. These controlled by insecticides. The essential have a promising research results in controlling these pests and decreasing the insect infestations. The natural essential oils have a low effect on the human, non-target insects, and do not pollute the environments. This research is an alternative approach to natural control these two stored product pests. Methods: Four essential oils namely, Lantana camara, Acorus calamus, caraway oil and Ammi majus were estimated on two stored product insects T. confusum and T. castaneum. Encapsulation method by the technology of polymerization was followed. The nano oils at 0.5% were estimated on the 3 larval instars. Percentages of accumulative mortality were calculated after seven days of the experiments. The effect of nano-oils on oviposition experiments made by spraying two grams of foams of the tested oils and their nano formulations mixed with 100 gram of wheat. Results data obtained detected that, the Percentage of larval mortality increase by increasing the concetrations for both insects T. confusum and T. castaneum. T. confusum tested larvae were more susceptible to the treatments than T. castaneum larvae. Nano A. majus oil showed a stronger effecte than that L. camara or A. calamus oil. Adult emergence percent and fecundity showed a highly decreasing after treatments with nanooil L. camara, A. calamus, A. majus oils under storage conditions, compared to those of the controls or non-nano-oils. The results suggested that nano A. majus can be used as a valuable tool in pest management programs of T. confusum and T. castaneum Conclusion: The results of this work indicate that some essential oils might be helpful management of pests in the stores because of their fumigant and odor action. Essential oils of plant origin contain active ingredients which are effective against many insects. Nano formulations of essential oils, through controlled release, prevent speed violate and decay and, also increase the stability of the oils. Treated foam, using L. camara, A. majus, caraway, and A. calamus oils gave protectthe wheat seeds from two pests infestations.
Detecting Falsified Financial Statements Using a Hybrid SM-UTADIS Approach : Empirical Analysis of Listed Traditional Chinese Medicine Companies in China

By combining the similarity matching (SM) method with the utilities additives discriminates (UTADIS) method, we propose a hybrid SM-UTADIS approach to detect falsified financial statements (FFS) of listed companies. To evaluate the performance of this hybrid approach, we conduct experiments using the annual financial ratios of listed traditional Chinese medicine (TCM) companies in China. There are three stages in the detection procedure. First, we use the cosine similarity matching method to select matched companies for each considered company, derive the deviation data of each considered company as a sample dataset to capture the intrinsic law of the financial data, and further divide these into training and testing datasets for the next two stages. Second, we put the training dataset into the UTADIS to train the SM-UTADIS model. Finally, we use the trained SM-UTADIS model to classify the testing dataset and evaluate the performance of the proposed method. Furthermore, we use other approaches, such as single UTADIS and logistic and SM-logistic regression models, to detect FFS. By comparing these results to those of the hybrid SM-UTADIS approach, we find that the proposed hybrid approach greatly improves the accuracy of FFS detection.
Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning

The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. The proposed framework enables learning the reward function, which is represented by a fully connected neural network, from driving data, including the speed of the driver’s vehicle, the distance to the leading vehicle, and the relative speed. Data from two field tests with 42 drivers are used. After clustering the participants into aggressive and conservative groups, the car-following data were used to train the proposed model, a fully connected neural network model, and a recurrent neural network model. Adopting the fivefold cross-validation method, the proposed model was proved to have the lowest root mean squared percentage error and modified Hausdorff distance among the different models, exhibiting superior ability for reproducing drivers’ car-following behaviors. Moreover, the proposed model captured the characteristics of different driving styles during car-following scenarios. The learned rewards and strategies were consistent with the demonstrations of the two groups. Inverse reinforcement learning can serve as a new tool to explain and model driving behavior, providing references for the development of human-like autonomous driving models.
The Nexus of Resident’s Participation and Localization of Sustainable Development Goals (SDGs) in Malaysia

The Local Agenda 21 (LA21), Millennium Development Goals (MDGs), and Sustainable Development Goals (SDGs) have been the focus of Malaysia’s sustainable development initiatives. Its success, particularly in the case of local government as the third level of governance, depended on the active and meaningful participation of its wide range of stakeholders. With the abundance of planning and programs underway, the Ministry of Housing and Local Government (MHLG) has called for the localization of SDGs in the country. It requires political and non-political commitments with its nexus on community participation, especially from the residents at the local level. By referring to the United Nations’ (UN) official reports on SDGs progress and Voluntary National Review (VNR), this paper aimed to identify the Malaysian government strategies and efforts towards localization of SDGs and its current progress. Additionally, through qualitative findings, this paper also attempts to discover the residents’ participation in supporting the LA21 and SDGs related program implementation at three local governments in Malaysia. The findings showed that the Malaysian government is on the right path in intensifying the SDGs localization, and there are SDGs related programs implemented at the local level. However, further studies need to be conducted to explore its current progress and underlying challenges that hampered an active SDGs localization.
Neoproterozoic hybrid forearc – MOR ophiolite belts in the northern Arabian-Nubian Shield: no evidence for back-arc tectonic setting

ABSTRACT The Neoproterozoic Arabian-Nubian Shield (ANS) post-dates the Boring Billion (1.85−0.85 Ga), a transition dominated by extensive arc-magmatism, terrane accretion along active subduction zones. Understanding the nature of the oceanic crust fragments preserved in the ophiolite belts is essential in extrapolating the predominant style of plate tectonics during the Neoproterozoic Era. There are two ophiolite belts with controversial genetic models in the Central Eastern Desert (CED) of Egypt, namely Wadi Semna–Fawakhir–Um Gheig belt to the north, and Ghadir–Mubarak–Barramiya belt to the south. Geochemical database and magnetic data are herein integrated to envisage the tectonic setting of the dispersed ophiolite blocks within these two belts. The northern belt is dominated by NW obduction-related thrust faults and is intensely deformed by structures attributed to the Najd fault system (NFS). The southern belt is less affected by the Najd fault with NE obduction-related thrust faults. Based on various discrimination diagrams and REEs pattern, oceanic mafic-ultramafic rocks in these belts can be classified into three types, MOR, forearc and volcanic arc basalt, where the latter is MORB overprinted by arc affinity. Our proposed evolutionary model includes N-dipping subduction zones parallel to the ~ E-W Allaqi-Heiani suture with hybrid forearc-MOR affinities. The data synthesis presented here weighs with advancing accretionary orogeny along the intraoceanic subduction zones as the dominant tectonic style during the Neoproterozoic evolution of the CED rather than the retreating style of the modern western Pacific region.
The Impact of Village Fund Program on Improving Well-being

Laws no. 6 of 2014 concerning villages has placed villages at the forefront of development and improvement of community welfare. Villages have been given adequate authority and availability of Village Funds, so that it can manage the village’s potential, solve problems, economic growth, and improve welfare in the village. Researchers will measure changes in expenditu re per capita of the population before and after the implementation of the Village Fund program by conducting statistical analysis on secondary data from 432 districts as a research sample. From the results of analysis using regression panel data, it shows that the intervention of the Village Fund has a positive influence on the increase in expenditure per capita of the rural population. In addition, this study also found that the magnitude of the influence of the Village Fund intervention on per capita expenditure varies by region type. First, an increase in per capita expenditure was found to be grater with better village infrastructure conditions compared to areas with poor village infrastructure. Second, same pattern was also found in regions with low poverty rates compared to regions with high poverty rates. Expenditures per capita rates found higher in regions with low poverty rates compared to regions with high poverty rates.
The Effect of Inflammation and Insulin Resistance on Lipid and Lipoprotein Responsiveness to Dietary Intervention

ABSTRACT Lipids and lipoproteins are major targets for cardiovascular disease (CVD) prevention. Findings from a limited number of clinical trials suggest diet-induced atherogenic lipoprotein lowering can be altered in the presence of chronic low-grade inflammation or insulin resistance. This review summarizes results from randomized controlled trials that have examined diet-induced changes in lipids/lipoproteins by inflammatory or insulin sensitivity status. In addition, mechanisms to explain these clinical observations are explored. Post hoc analyses of data from a limited number of randomized controlled trials suggest attenuation of diet-induced lipid/lipoprotein lowering in individuals with inflammation and/or insulin resistance. These findings are supported by experimental studies showing that inflammatory stimuli and hyperinsulinemia alter genes involved in endogenous cholesterol synthesis and cholesterol uptake, reduce cholesterol efflux, and increase fatty acid biosynthesis. Further a priori defined research is required to better characterize how chronic low-grade inflammation and insulin resistance modulate lipid and lipoprotein responsiveness to guide CVD risk reduction in individuals presenting with these phenotypes.
Structure-Activity Relationship of Supramolecular Compounds in Drug Delivery

Supramolecular compounds are capable of undergoing various non-covalent interactions with other molecules like host-guest chemistry, controlled encapsulation, hydrophobic interactions, variety of delivering strategies, electron af-finity induced interactions, etc. These properties of supramolecular compounds make them attractive to be effective drug carriers. This review will detail about the recent interesting reports on the structure-activity relationship of supramolecular compounds in drug delivery. The supramolecular compounds considered are cyclodextrins, cucurbiturils, avidin, biotin, ro-taxanes, viologens, and dendrimers. Studying the opportunities given by these supramolecular compounds in drug delivery will open a way for the novel efficient drug delivery systems for the future.
The differential role of practical and emotional support in infant feeding experience in the UK

Social support is a known determinant of breastfeeding behaviour and is generally considered beneficial. However, social support encompasses a myriad of different supportive acts, providing scope for diverse infant feeding outcomes. Given the vulnerability of postpartum mental health, this paper aims to explore both how support prolongs breastfeeding and which forms of support promote the positive experience of all infant feeding. Using survey data collected online from 515 UK mothers with infants aged 0–108 weeks, Cox regression models assessed the relationship between receiving different types of support, support need and breastfeeding duration. Quasi-binomial logistic regression models assessed the relationship between receiving support, infant feeding mode and maternal experience of infant feeding. Rates of negative infant feeding experience indicate the widespread need for support: e.g. 38% of currently, 47% of no longer and 31% of never breastfeeding women found infant feeding stressful. Overall, practical support via infant feeding broadly predicted shorter breastfeeding durations and poorer feeding experience; results in relation to other forms of support were more complex. Our findings indicate different forms of support have different associations with infant feeding experience. They also highlight the wide range of individuals beyond the nuclear family on which postpartum mothers in the UK rely. This article is part of the theme issue ‘Multidisciplinary perspectives on social support and maternal–child health’.
Self-Esteem in 12-Step Recovery; Theoretical History, Evidence, and Implications for Future Research

ABSTRACT Recovery from substance use disorder is a complex process whereby an interplay of personal strengths, interpersonal relationships, and contextual factors come together to make recovery possible. New and emerging theories and definitions of recovery are prompting recovery-informed research that places a premium on operationalizing known features of the recovery process into new instruments and methods. We hypothesize that self-esteem plays a central role in the recovery process such that it may one day serve as a benchmark of recovery growth and progress. In this article, we use a secondary analysis of an existing dataset to examine self-esteem as a central intrapersonal variable in a sample of people in recovery from substance use disorder (N = 113) and identify correlates with psychological and personality factors associated with recovery. Our findings provide additional evidence that self-esteem, and correlates of self-esteem, may represent a bundle of intrapersonal psychosocial variables that should be considered as essential constructs within recovery-related research, therapeutic technique, and treatment outcome expectancies.
A NOVEL GREEDY GENETIC ALGORITHM TO SOLVE COMBINATORIAL OPTIMIZATION PROBLEM

Abstract. In this paper, a modified genetic algorithm based on greedy sequential algorithm is presented to solve combinatorial optimization problem. The algorithm proposed here is a hybrid of heuristic and computational intelligence algorithm where greedy sequential algorithm is used as operator inside genetic algorithm like crossover and mutation. The greedy sequential function is used to correct non realizable solution after crossover and mutation which contribute to increase the rate of convergence and upgrade the population by improving the quality of chromosomes toward the chromatic number. Experiments on a set of 6 well-known DIMACS benchmark instances of graph coloring problem to test this approach show that the proposed algorithm achieves competitive results in comparison with three states of art algorithms in terms of either success rate and solution quality.
Simulation of FBG temperature sensor array for oil identification via Random Forest Classification

Water–oil separation is important in the oil industry, as the incorrect classification of oil can lead to losses in the production and have an environmental impact. This paper proposes the use of fiber Bragg grating (FBG) temperature sensor array to identify the oil in water–emulsion–oil systems, using only the temperature responses for oil classification results in operational and economic benefits. To demonstrate the possibility of using the FBG temperature sensor to classify oil level, the temperature distribution of an oil storage tank, with 2 m height and 0.8 m in diameter, is simulated using thermal distribution models. Then, the temperature effect in a 2 m long FBG array with a different number and distribution of FBGs is simulated using the transfer matrix method. In each case, we extract the wavelength shift (Δλ), total width at half the maximum (FWHM) and the location of the FBG in the fiber. For the oil classification, we dichotomized the fluids into oil and non-oil (water and emulsion). Due to the low separability of the classes, the random forest algorithm was chosen for classification, starting with 200 FBG equidistant sensors and decreasing to 6, with different distributions along the fiber. As expected, the highest accuracy occurs with the 200 FBGs array (96%). However, it was possible to classify the oil with an accuracy of 94.89% with only 8 FBGs, using tests for two proportions (with a significance of 5%); the accuracy of 8 FBGs is the same as of 50 FBGs.
Progress towards a holistic land and marine surface meteorological database and a call for additional contributions

This paper outlines progress of the Copernicus Climate Change Service's (C3S) Global Land and Marine Observations Database service in securing data sources and introduces the data upload component. We present details of land and marine data holdings inventoried, highlighting priority needs in terms of periods, regions and Essential Climate Variables (ECVs) where additional data could bring most benefit. These holdings are being iteratively merged and integrated to best meet user needs and are served to the user via the Copernicus Climate Data Store (CDS). The secure Data Upload Server enables any data provider to share additional data and metadata with the service. We outline the process for registering as a data provider and how data sets are prioritized for integration. We encourage all data owners to share their data with the C3S service via our Data Upload Server. All unique and relevant data acquired or submitted will be also archived at the NOAA National Centers for Environmental Information World Data Center for Meteorology, Asheville, North Carolina, USA and used in their database curation efforts which are being jointly developed.
Comparison of Composites, Dichotomous, and Latent Factor Measurement Operationalizations in Hospitality Research on Moderating Effects

Moderation testing through latent factor models is relatively underutilized in hospitality and tourism research. The purpose of this research is to highlight the differences in the treatment of measurements of reflective constructs as composite indices versus latent factors in moderating effect tests in hospitality research. For this research, we build our primer on the investigation of the differences in customer satisfaction with the perceived entertainment experience at a hospitality/tourism attraction, contingent on customers’ personality trait extraversion, borrowed from the Big-Five mini marker inventory. Our findings illustrate the consequences of the measurement conceptualization and the representation of constructs in statistical models with interaction effects. While using composites simplifies the estimation of the regression paths and provides a reasonable sense of the direction of the effect and its statistical significance, it is not always aligned with the theoretical and conceptual underpinning of the employed constructs. A statistical model with composites may underestimate an interaction effect, whereas a model with a dichotomized moderator may overestimate the interaction effect. The findings of this research draw the attention of the hospitality and tourism research community on different representations of reflective constructs in their measurement and statistical models.
The Twilight of Print Media in the New Media Era (The Strategy of Kedaulatan Rakyat in Maintaining its Reader's Loyalty)

This research aims at analyzing the strategy of Kedaulatan Rakyat newspaper in maintaining its existence amid the growing of new media. This research employs a qualitative approach. The informant of the research is the editor in chief of the Kedaulatan Rakyat newspaper. Data analysis was carried out utilizing the Miles & Huberman model. The results of this research indicate that Kedaulatan Rakyat keeps its reader's loyalty by taking some efforts. First, Kedaulatan Rakyat stands independently and hold the principle of voicing conscience based on the Pancasila press firmly. Second, Kedaulatan Rakyat adapts to regional traditions, by prioritizing local news. Beside publishing local news, a typically local (Javanese) rubric is promoted, namely Mbah Kalam. Mbah Kalam rubric presents the dating calculation system in the Javanese calendar. This typical strength enhances Kedaulatan Rakyat in sustaining the loyalty of its readers (consumers).