Miracle-dz/UniFAR-FTUs huggingface dataset:
An insight into the chemical composition of ground ivy (Glechoma hederacea L.) by means of macrocomponent analysis and fractionation of phenolic compounds

Ground ivy (Glechoma hederacea L.) has been used for generations in folk medicine to treat various diseases. Up until today, the information about its chemical and bioactive composition is still rather incomplete. The aim of this study was to evaluate macro- and microcomposition of ground ivy including the polyphenolic profile. In the present study, different phenolic fractions (free soluble, esterified, glycosylated and insoluble-bound phenolic fractions) of ground ivy were prepared and analysed using spectrophotometric methods (total phenolic content and antioxidant capacity) and HPLC-PAD methodology. Regarding the macrocomposition, the results revealed that most of the ground ivy dry matter was composed of insoluble dietary fibre (48.96% dmb) followed by proteins (17.92% dmb). Minerals also markedly contributed to the dry matter (12.74% dmb) with potassium as the main macroelement (48.49 mg/g dmb). Dominant phenolic compounds in ground ivy extract were: rosmarinic (6.64 mg/g dmb) and chlorogenic acid (1.11 mg/g dmb), and flavonol rutin (1.87 mg/g dmb). Fractionation of phenolic compounds from ground ivy confirmed that dominant esters were indeed those of caffeic acid, while glycosides those of quercetin, which corresponded to the majority of identified compounds in the initial extract. Insoluble-bound phenolics were not represented in notable content. This study provided additional reference for macro- and microcomponent and phenolic composition of rather underutilized but valuable medicinal plant – ground ivy, to be used in further research of its health properties.
Ethics of Field Experiments

Political scientists are increasingly conducting field experiments that raise ethical issues that standard review criteria and processes are ill equipped to address. Field experiments can answer important questions, but they can also present various harms to individuals, communities, and political processes; undermine autonomy; introduce partnerships that present complex questions of responsibility; and damage the public's trust in the discipline. This article reviews published empirical and theoretical research, professional guidelines, and media accounts, blog posts, and other sources when appropriate. It characterizes the state of the field regarding the identification of ethical problems, relevant normative guidance, proposed strategies for managing ethical concerns, and issues on the horizon. It concludes that the discipline is making good progress, with robust guidelines and strategies for conducting field experiments ethically. However, there is still much work to be done in refining and expanding current guidance, addressing remaining issues, and promoting norms. This review concludes with some general recommendations for researchers conducting political science field experiments. Expected final online publication date for the Annual Review of Political Science, Volume 24 is May 2021. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Construction for the Smart Old-age Care in an Age of Longevity: A Literature Review

The deepening of the aging population has increased the pressure on social security and public services, affected social vitality, innovation power, and potential economic growth rate. Fortunately, with the development of science, the "Smart City" is also being built, so how to utilize intelligent technology to deal with the aging issue is a worthy orientation. This literature review integrates the aging status quo and countermeasures in typical countries, analyzes the current problems of Smart Old-age Care system in various aspects, and proposes phased recommendations (Smart C&A homes, Smart Home, Smart Community, Smart City) according to different aging degrees, thereby offering new ideas and directions for the Longevity related topics in the future.
English teachers’ intention to use flipped teaching: interrelationships with needs satisfaction, motivation, self-efficacy, belief, and support

Abstract While the role of flipped teaching in students’ language performance is well documented, English teachers’ perspective about flipped teaching remains underexplored. Informed by the self-determination theory and the motivation-opportunity-ability theory, this study examined English teachers’ intention to use flipped teaching and its interrelationships with fulfillment of needs for competence and autonomy, motivation, self-efficacy, belief, and support in a sample of 166 English teachers in the Chinese EFL context. The findings showed that the teachers had a generally favorable intention to use flipped teaching, with individual variations across gender, universities’ prestige, prior experience, and the type of English courses. The results also revealed that needs satisfaction was an antecedent of their use intention for flipped teaching. Identified regulation was related more positively to use intention when the teachers experienced higher self-efficacy and support, whereas external regulation was not associated with use intention when teachers held higher levels of beliefs towards flipped teaching. The findings also showed that introjected regulation was related positively to use intention when the teachers received less supports from their contexts or experienced lower self-efficacy. The findings shed new light on how flipped teaching can be better promoted in language education.
Antioxidant Efficacy of Selected Underutilized Fruit Species Grown in Sri Lanka

The present study was carried out to determine the vitamin C content, total phenolic content (TPC), antioxidant efficacy and total monomeric anthocyanin content (TMAC) of twenty-one underutilized fruit species grown in Sri Lanka. Approximately 5g of fruit homogenates was used to determine the vitamin C content while lyophilized aqueous extracts were used to perform in-vitro antioxidant assays. Folin-Ciocalteu’s colorimetric assay was used to determine TPC. The 2,2-diphenyl-1-pycrylehydrazyl (DPPH) radical scavenging, 2,2’- azinobis- 3- ethylbenzothiazoline-6-sulphonic acid (ABTS) total antioxidant activity and ferric reducing antioxidant power (FRAP) assays were used to determine antioxidant efficacy of fruit extracts, while the pH differential method was used to determine TMAC. The highest TPC (104 mg of gallic acid equivalents/g on dry weight (DW) basis), reducing power (155μmol of ferrous sulphate equivalents/g DW), and the lowest IC50 (0.0004 g of DW/mL) were recorded in Phyllanthus emblica and obtained the first rank in overall antioxidative properties among the tested fruit species. Fruits with the highest total antioxidant activity were Flacourtia indica, Morus alba, Phyllanthus emblica and Syzygium caryophyllatum. The highest TMAC was found in S. caryophyllatum (79 mg of cyanidin-3-glucoside (C3G)/g DW) and the lowest in Elaeocarpus. serratus (0.29 mg C3G/g DW). Results obtained in this study can be used as baseline data to carry out further research and formulation of food compositional tables. The underutilized fruit species tested could be used assources of natural antioxidants in nutraceuticals and in novel food product development.
Exploring Barriers to Early Childhood Teachers’ Implementation of a Supplemental Academic Language Curriculum

ABSTRACT Research Findings: This study used the Theoretical Domains Framework (TDF) to examine barriers to teachersâ€™ implementation of a supplemental academic language curricula. Despite high satisfaction with this scripted curriculum, three past studies indicated heterogeneity in teachersâ€™ fidelity of implementing the curriculum as well as difficulty going off script. Thus, our goal was to identify barriers to fidelity of implementation and map these onto possible behavior change techniques. Participants included 175 teachers from pre-kindergarten and kindergarten classrooms. We used mixed-method approaches that included surveys, focus groups, and interviews with teachers and their coaches. The most salient barriers to fidelitious implementation were: competing priorities for instructional time as well as limited teacher knowledge and skills. For some teachers, other barriers included difficulty changing habits, challenges with memory and attention processes, or lack of fit when the curriculum was used with populations beyond the designed scope. Practice or Policy: To understand why teachers may not consistently implement evidence-based curricula with fidelity, we explain steps other education researchers can use to apply the TDF and insights from the field of implementation sciences. We provide sample TDF survey questions and suggestions to help educators and researchers systematically revise the theory of change for curricular interventions.
Cultural Encounters: A Practice-Driven Institutional Approach to the Study of Organizational Culture

Narrow, managerially centered notions of organizational culture remain hegemonic, marginalizing richer, anthropological approaches as well as efforts to understand how the beliefs and practices of organizations are fundamentally shaped by the wider societal dynamics within which they are embedded. In this paper, the authors draw upon recent efforts to explore the interface of scholarship on practice and the institutional logics perspective to highlight the utility of a practice-driven institutional approach to the study of organizational culture that brings society back in. Empirically, the authors present a longitudinal case study of a Chinese private enterprise, and analyze how the unfolding dynamics of a strong community logic increasingly affected by a rising market logic, shaped the formation of political coalitions internally and externally as organizational members aimed to maintain truces between the push and pull of logics over a period of 22 years. Through an analysis of seven episodes that we conceptualize as “cultural encounters,” the authors find that a combination of compartmentalization and overall integration of logics contributes to provisional truces, and that people in the same cohort who share common geographic socialization are more likely to form allies. Our aim is to encourage future scholars to study how societal beliefs and practices work their way into organizations in a variety of explicit as well as more mundane, hidden ways.
Durkheim in the Neoliberal Organization: Taking Resistance and Solidarity Seriously

Durkheim’s contributions to organization studies have so far been decidedly marginal, and largely concentrated on culture. In this paper, we draw upon his theory of anomie and solidarity to show how a Durkheimian view of contemporary organizations and work has special relevance today for debates about how workers, particularly middle managers, can reshuffle a capacity to resist neoliberal efforts to profoundly disrupt their working conditions, in particular their autonomy to define what is a job well done. We show how Durkheim’s insights can account for the unexpected rekindling of forms of social solidarity in highly competitive and individualistic organizational settings, through dissident efforts that convey a renewal of a certain work ethos severed by neoliberal managerial policies and practices. Recent studies on resistance confirm Durkheim’s view that forms of collective activity, resembling supposedly ‘old’ mechanisms of former days, continue to exist and develop in contemporary societies and organizations, in response to pressure to put people in situations of inter-individual competition that disrupts social relationships.
Intrusion detection system using voting-based neural network

Several security solutions have been proposed to detect network abnormal behavior. However, successful attacks is still a big concern in computer society. Lots of security breaches, like Distributed Denial of Service (DDoS), botnets, spam, phishing, and so on, are reported every day, while the number of attacks are still increasing. In this paper, a novel voting-based deep learning framework, called VNN, is proposed to take the advantage of any kinds of deep learning structures. Considering several models created by different aspects of data and various deep learning structures, VNN provides the ability to aggregate the best models in order to create more accurate and robust results. Therefore, VNN helps the security specialists to detect more complicated attacks. Experimental results over KDDCUP'99 and CTU-13, as two well known and more widely employed datasets in computer network area, revealed the voting procedure was highly effective to increase the system performance, where the false alarms were reduced up to 75% in comparison with the original deep learning models, including Deep Neural Network (DNN), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU).
The language of integrative collective bargaining

Although collective bargaining is essentially a communication process, the role of language (as distinguished from discourse) in bargaining exchanges has received little attention from industrial relations scholars. Building on the work of Karl Popper, this article proposes a decomposition of language into functions and values and analyses their relevance when parties to a collective bargaining encounter engage in an integrative process. The proposed framework provides labour negotiators seeking integrative outcomes with linguistic guidelines and scholars with a tool to analyse bargaining exchanges. JEL Code: J52
Regulation by FLOWERING LOCUS T and TERMINAL FLOWER 1 in Flowering Time and Plant Architecture

The conversion from vegetative to inflorescence shoot apical meristem is one of the key developmental switches in flowering plants. This transition is modulated by various environmental and endogenous stimuli and controlled by sophisticated regulatory networks. Regulation of flowering time and inflorescence architecture has a great impact on plant reproductive success and significantly influences plant biomass and fitness. FLOWERING LOCUS T (FT), a mobile protein identified as a major component of florigen, promotes the transition to flowering, whereas its homologous protein TERMINAL FLOWER 1 (TFL1) functions oppositely. Studies in various species reveal that FT and TFL1 play universal and multifaceted roles in a wide range of developmental processes in plants. Hence, modulations of FT/TFL1 and their regulatory pathways have a considerable impact on plant development and crop domestication. Herein, an overview of the molecular basis underlying the regulation of FT/TFL1 expression and modulation of their protein trafficking and the relevant mechanisms in flowering time control and meristem development is provided. Whenever applicable, their functional conservation and divergence in various plant species are also discussed.
Real-time long-term tracking with reliability assessment and object recovery

In recent years, many visual tracking algorithms based on discriminative correlation ﬁlters have been proposed and proved to be successful in short-term tracking. However, most algorithms do not handle long-term tracking well due to factors such as occlusion and deformation. The aim of this paper is to propose a long-term tracking method with reliability assessment and object recovery. First, the relationship between the overlap rate and the response value is extensively studied, and then from the perspective of the time axis, the tracking process is evaluated by the ﬂuctuation trend of the continuous response value. In the object recovery mechanism, we propose to alternately use local search and global search to improve the efﬁciency of detection. To this end, a sliding window is designed for cyclic shifting in the local region to achieve dense sampling within the region of interest, and EdgeBox is used in the global search to achieve target detection. Further, ﬂexible switch-ing between local search and global search is achieved by the difference in displacement of the object. Extensive experimental results on several benchmark datasets demonstrate that the proposed long-term tracker can achieve state-of-the-art accuracy with real-time speed of about 27 frames per second.
Chinese version of water-wise cities: Sponge City initiative

By the end of 2018, China had 669 cities of which 297 were national or local central cities (prefecture-level and above) of large sizes and population. Altogether, these cities occupy an urban area of 200,897 km, with an average population density of 2546 people/km. According to the National Bureau of Statistics of the People’s Republic of China, the urbanization rate of the permanent population has increased from 10.64% in 1949 to 59.58% in 2018. During this period, China experienced the largest and fastest urbanization process in the history of the world. Along with the rapid urbanization and social economy, the original hydrological and ecological environments in China have been severely damaged, resulting in obvious urban water environmental problems (Cheng & Hu, 2011; Jia et al., 2013). For instance, two-thirds of China’s cities are suffering from water shortage. Poor water quality was identified in 61.3% of the groundwater monitoring sites in 202 cities. According to the China Flood and Drought Disaster Bulletin, 83 cities were flooded in 2018, with a direct economic loss of 16 billion Yuan, equivalent to 0.18% of the GDP that year. With the manifold pressures from population growth, resource constraint, and economic development, novel concepts and principles are needed to guide urban water systems planning towards sustainable development.
FTPG: A Fine-Grained Traffic Prediction Method With Graph Attention Network Using Big Trace Data

Short-term traffic prediction is of great importance to the management of traffic congestion, a pervasive and difficult-to-solve problem in many metropolises all over the world. However, existing studies on traffic prediction contain rough traffic information at the carriageway level that ignore the distinction between different turns in one intersection. With the aim of predicting traffic at road intersections from big trace data on a finer scale, this study proposes a novel method, the fine-grained traffic prediction method (FTPG) with a graph attention network (GAT), which predicts traffic information, including traffic flow speeds, traffic states, and average queue lengths, at the turn level. In the FTPG, a method for estimation of the queue starting point is proposed to improve the accuracy of traffic information detection. Furthermore, the topology is constructed under turn-level conditions, and a GAT-based method, the spatio-temporal residual graph attention network (ST-RGAN), is proposed to improve the prediction accuracy. Experiments are performed using taxi GPS trace data collected in the city of Wuhan and show that the proposed FTPG method can make predictions with fine-grained traffic information for road intersections accurately and robustly.
Study of techniques to improve performance of patch antennas for 5G applications at millimeter wave (mmW) frequencies

Millimeter wave (mmW) frequency signals of 28 GHz and 38 GHz that are being explored for implementing next generation cellular communication network (i.e. 5G) suffer from severe attenuation in the outdoor environment. Therefore, efficient and intelligent antenna design techniques are needed for proper transmission and reception of signals at mmW frequencies. Beamforming, multiple input multiple output (MIMO) and space division multiple access (SDMA) are important requirements of mmW 5G network, and these technologies are heavily dependent upon antenna design and implementation. This paper presents various contemporary techniques for improving performance parameters of patch antennas for 5G implementation at mmW frequencies. These performance parameters include gain, bandwidth, directivity, suppression of surface waves, ease of design, compactness, and mutual coupling between antenna elements for MIMO system. This study also highlights the benefits and drawbacks of each of these techniques discussed in the paper.
Failure Analysis of Intelligent Door Lock Master Control Chip

In recent years, smart door locks having password keyboards, fingerprint recognition and communicating function have seen explosive growth. A large number of enterprises engaged in the manufacture of the intelligent door locks, followed by the associated after-sales problems, and the product without power, no reaction phenomenon caused by the failure of master control chip is relatively common, which greatly affects the user experience. In this paper, a mainstream smart door lock products on the market as the research object, a series of failure analysis and root cause search were executed to find the reasons of failure. The research shows that the main reason for the non-power supply and non-response of the intelligent door lock after sale is the fault of the main control chip. The main control chip fails due to the lack of electrostatic protection, which is directly related to the improper production and assembly process.
Hypoxia in Duces Mitochondrial Swelling and Invasive Potential of Cultured Cells

Cells that are exposed to limiting oxygen environment (hypoxia) acquire resistance to many chemotherapeutic drugs. However the mechanism underlying in this phenomena is not fully understood. In this study we successfully standardized the induction of hypoxic condition in cultured cells like HEK293T and MRC5 cells. Upon CoCl2 treatment we noticed the induction of HIF1α in both the cell lines used in the study. Here we reveal that hypoxia condition induces the mitochondrial swelling without altering its protein levels. Also enhanced mitochondrial swelling increased the invasive potential of MRC5 cells which may result in neoplastic transformation. Together our result demonstrates that conditions to induce hypoxia and also its effect on cultured cells.
Antecedents of Sustainable Performance in Manufacturing Organizations: A Structural Equation Modeling Approach

Sustainability is integral for organizations to manage environmental issues. Environmental awareness among stakeholders builds pressure on manufacturers to adopt green human resource management practices (GHRMPs), environmental management system (EMS), and foster organizational citizenship behavior for the environment (OCBE) to improve sustainable performance (SP). This study investigates the mediating effects of OCBE and EMS on the relationship between GHRMP and SP among ISO14001-certified manufacturing firms and SP. The quantitative design employed, and data of 227 respondents were analyzed via the SEM technique using AMOS 24™. Thus, findings revealed that GHRMP is positively related to SP, while OCBE and EMS partially mediated the relationship between GHRMP and SP among ISO14001-certified Malaysian manufacturing firms. This study makes novel academic and practical contributions to green HRM, organizational behavior, and sustainable performance. However, this study also has some limitations.