Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate Governance: An Overview

gives an support for the development of the Beijing-Tianjin-Hebei Region, Guangdong-Hong Kong-Macao Greater Bay Area, and other key and closely coordinates with the strategy for the rise of central China and for promoting the development along the Yangtze River Economic Belt. Emphasis is placed on strengthening the alignment of the industrial gradient transfer and upgrading project between the east and the west, to promote the large-scale development of China's western region. protect the legitimate rights and interests of financial consumers, and advance the high-quality development of the banking business. supplier in downtown Qingdao. The funds are used for the construction of the expansion project of Qingdao BCTA Desalination Plant. It is planned to build this project into largest desalination plants in China, supply water to industrial enterprises in the an to municipal water supply. industrial policy orientation, to the standards and policy framework requirements of green bond projects, IB evaluated the risks and environmental and social benefits, solved multiple difficulties in project standard certification, and successfully issued the bond, thereby expanding low-cost financing channels for enterprises. theory. As a result, China saw fundamental changes in its ecological environment and economic and social development patterns. The Bank took the lead in exploring green finance business in China the same year when the theory was put forward, and for more than a decade thereafter, it had been making sustained effort in tree planting and promoting ecological conservation in China. In 2020, IB carried out vivid green finance practices based on the “Invaluable Assets” theory to promote the resumption of work and production, support green poverty alleviation, and serve green development. In the availability of credit, the Bank strengthened its support for rural areas, enhanced the capacity for making innovation in products and services, intensified the credit support for agriculture and its sidelines as well as local characteristic industries, and put effort in the construction of key infrastructure projects in transport, electricity and water conservancy. Meanwhile, the Bank scaled up financial support for appropriate extensive operation of family farms and their cooperative operation. IB introduced loan models like unsecured of “two and rights for households with good social credibility and a large cash flow and entities like family farm. mortgage loans ownership strengthened the public-private linkage in procedures. provided financing service for retail customers in forestry, animal husbandry fishing provided support for all kinds of people returning or coming to rural areas to make innovation or start their own business; and scaled up the financial support for rural tourism, farming and breeding, and processing agricultural products and byproducts. of the comprehensive projects in redevelopment of low efficient industrial land, urban renewal and city-industry integration.
Trust Evaluation on Social Media based on Different Similarity Metrics

With advancement in internet era, the importance of social media is increasing day by day. It enables users to share their profile data, ideas, videos and any content they have with them. With benefits, it also has several issues related to it. One of the issue is “how to protect users from after effect of friendship over social media? ”. This paper proposes a trust model to overcome it. The proposed model calculates trust to assist end users to take decision about accepting friend-request on social media. Trust evaluation is based upon profile similarity analysis. Trust computation uses preferred attribute among profile attributes to evaluate trust of users. The paper analyzes different trust evaluation methods based on the proposed model.
Elderly women have blunted response to resistance training despite reduced antagonist coactivation.

PURPOSE To test the ability of a combination high-velocity/high-resistance training program to enhance knee extensor muscle strength, power, nervous activation of muscle, and muscle activation time in inactive women and compare the response to training between young and old women. METHODS The study involved 49 inactive women, with young (18-33 yr, n = 25) and old (65-84 yr, n = 24) distributed to training and control groups using blocked randomization. Electrically evoked muscle twitches were measured for the knee extensors; then maximal, voluntary, isometric knee extensions were performed in a visually cued reaction time (RT) task, followed by 8 wk of explosive resistance training. RESULTS Training increased peak torque (+12%, P = 0.03) and reduced antagonist coactivation (-13%, P = 0.02) similarly for both age groups. Young training group increased the rate of torque development by 34% compared to young controls (-7%), old training (+9%), and old controls (+8%) (P = 0.002). Young training group increased impulse by 53%, which was greater than young controls (-11%), old training (+12%), and old controls (+9%) (P = 0.001). Resistance training did not change electrically evoked twitch, RT (premotor time, motor time, or reaction time), or nervous activation measures (onset EMG amplitude or rate of EMG rise). CONCLUSIONS Explosive force training was ineffective at enhancing muscle twitch characteristics, neural drive, or RT in young or old women. It did enhance peak muscle force in both young and old, modulated through a reduction in antagonist coactivation. Older participants showed less of an improvement in the rate of torque development and contractile impulse than young, indicating either that this sample of older women had a reduced capacity to develop muscle power or that the 8-wk isokinetic resistance training program used in this study was not a sufficient stimulus for adaptation.
The trade competitiveness of furniture products

The production of wood-based furniture is the final stage in the wood processing chain. Foreign trade in furniture indicates the suc cess of the sector and its competitiveness on international markets. The aim of t his paper is to evaluate the trade competitiveness, and its trend, in the furnit re manufacturing industry in both the Czech Republic and the Slovak Republic for a period of ten years, through the implementation of indicators based on ind ustry foreign trade data and using mathematical and statistical methods. A system of indicators was set up and the hypothesis: “In the furniture industry the compe titive potential is used insufficiently” was proposed. The results achieved confirmed the hypothesis, however, despite the furniture industry showing an active foreign trade balance, it contributed little to the country’s trade balance s urplus and low values of the indicators of Revealed Comparative Advantage (RCA) w ere achieved. Therefore, the industry gradually loses its competitive ability .
The Ionized Warped Disk and Disk Wind of the Massive Protostar Monoceros R2-IRS2 Seen with ALMA

Theories of massive star formation predict that massive protostars accrete gas through circumstellar disks. Although several cases have been found already thanks to high angular-resolution interferometry, the internal physical structure of these disks remains unknown, in particular whether they present warps or internal holes, as observed in low-mass protoplanetary disks. Here, we report very high angular-resolution observations of the H21α radio recombination line carried out in Band 9 with the Atacama Large Millimeter/submillimeter Array (beam of 80 mas × 60 mas, or 70 au × 50 au) toward the IRS2 massive young stellar object in the Monoceros R2 star-forming cluster. The H21α line shows maser amplification, which allows us to study the kinematics and physical structure of the ionized gas around the massive protostar down to spatial scales of ∼1–2 au. Our ALMA images and 3D radiative transfer modeling reveal that the ionized gas around IRS2 is distributed in a Keplerian circumstellar disk and an expanding wind. The H21α emission centroids at velocities between −10 and 20 km s−1 deviate from the disk plane, suggesting a warping for the disk. This could be explained by the presence of a secondary object (a stellar companion or a massive planet) within the system. The ionized wind seems to be launched from the disk surface at distances ∼11 au from the central star, consistent with magnetically-regulated disk wind models. This suggests a similar wind-launching mechanism to that recently found for evolved massive stars such as MWC349A and MWC922.
Interpretable Factorization for Neural Network ECG Models

The ability of deep learning (DL) to improve the practice of medicine and its clinical outcomes faces a looming obstacle: model interpretation. Without description of how outputs are generated, a collaborating physician can neither resolve when the model's conclusions are in conflict with his or her own, nor learn to anticipate model behavior. Current research aims to interpret networks that diagnose ECG recordings, which has great potential impact as recordings become more personalized and widely deployed. A generalizable impact beyond ECGs lies in the ability to provide a rich test-bed for the development of interpretive techniques in medicine. Interpretive techniques for Deep Neural Networks (DNNs), however, tend to be heuristic and observational in nature, lacking the mathematical rigor one might expect in the analysis of math equations. The motivation of this paper is to offer a third option, a scientific approach. We treat the model output itself as a phenomenon to be explained through component parts and equations governing their behavior. We argue that these component parts should also be "black boxes" --additional targets to interpret heuristically with clear functional connection to the original. We show how to rigorously factor a DNN into a hierarchical equation consisting of black box variables. This is not a subdivision into physical parts, like an organism into its cells; it is but one choice of an equation into a collection of abstract functions. Yet, for DNNs trained to identify normal ECG waveforms on PhysioNet 2017 Challenge data, we demonstrate this choice yields interpretable component models identified with visual composite sketches of ECG samples in corresponding input regions. Moreover, the recursion distills this interpretation: additional factorization of component black boxes corresponds to ECG partitions that are more morphologically pure.
Association Rule Mining to Extract Knowledge from Online Store Transactions of a Turkish Retail Company: A Case Study

Data mining techniques have been implemented in many fields namely, marketing, insurance, finance, medicine, computer science and many more. In marketing it is used as a tool to cluster and classify customers so that their buying patterns, demographical information, market basket can be analyzed to help the CRM representative and decision makers (1). In this study online store transactions of multi-branch Turkish Retail Company have been analyzed and many associations rules have been discovered. The analyzed volume of transactions of completed sales exceeds 14000 for a single season. At first data is cleaned from unrelated fields then presented to R studio to implement the Apriori algorithm(2) in order to extract knowledge and obtain association rules between goods. Results are proven be worthy over the conventional methodologies. The extracted data are tested successfully with a sample group of customers to validate the association rules which give unique insights about customer behaviors.
Identification of Anaplasma marginale Proteins Specifically Upregulated during Colonization of the Tick Vector

ABSTRACT The transition between infection of the mammalian host and colonization of an arthropod vector is required for the ongoing transmission of a broad array of pathogens, from viruses to protozoa. Understanding how this transition is mediated provides opportunities to disrupt transmission through either chemotherapy or immunization. We used an unbiased proteomic screen to identify Anaplasma marginale proteins specifically upregulated in the tick compared to the mammalian host. Comparative mass spectrometric analysis of proteins separated by two-dimensional gel electrophoresis of uninfected and infected ISE6 cells and infected mammalian cells identified 15 proteins exclusively expressed or upregulated in tick cells. All 15 had originally been annotated as hypothetical proteins. We confirmed quantitative upregulation and expression in situ within the midgut epithelial and salivary gland acinar cells of vector ticks during successful transmission. The results support the hypothesis that A. marginale gene expression is regulated by the specific host environment and, in a broader context, that the core genome evolved in the arthropod vector with differential regulation, allowing adaptation to mammalian hosts. Furthermore, the confirmation of the in situ expression of candidates identified in ISE6 cell lines indicates that this approach may be widely applicable to bacteria in the genera Anaplasma and Ehrlichia, removing a major technical impediment to the identification of new targets for vaccine and chemotherapeutic blocking of transmission.
The Blurry Boundary between Stereotyping and Evaluation in Implicit Cognition

Introduction Does the distinction between cognition and affect apply to implicit mental states? In the literature on intergroup relations, cognition and affect correspond to stereotypes— beliefs about social groups, or, more concretely, representations of traits associated with social groups (Stangor, 2009)—and prejudice—negative affective or evaluative responses toward others on the basis of social group members (McConahay & Hough, 1976; Dixon et al., 2012). While the distinction between explicit stereotypes and explicit prejudices is widely supported (Fiske & Linville, 1980; Martin & Halverson, 1981; Wol, 1982; Augoustinos & Innes, 1990; Duckitt, 1992; Dovidio et al., 1996; Fiske, 1998; Mackie & Smith, 1998; Fiske et al., 2002), its applicability to implicit mental states is controversial. Understanding the relationship between stereotypes and prejudice is important as it can help illuminate the nature of the mental representations underlying implicit mental states. While some theories propose that stereotyping and prejudice are functionally integrated (Greenwald et al., 2002; Gawronski & Bodenhausen, 2006, 2011), others propose that the cognitive and affective components of implicit states represent separate constructs—namely implicit stereotypes (IS) and implicit evaluations (IE)—which reflect different mental processes and neural systems (Amodio & Devine, 2006, 2009; Amodio & Ratner, 2011). That stereotyping and prejudice are at least conceptually distinct in implicit cognition has been clear ever since Anthony Greenwald and Mahzarin Banaji (1995) coined these terms. But the question of their functional integration or independence leads to a number of significant conclusions. Most centrally, functional integration supports a “onetype” model of implicit states, according to which the core construct of the field is implicit attitudes as such (Fazio, 1990; Strack & Deutsche, 2004; Gawronski & Bodenhausen, 2006, 2011; Petty, 2006). Functional independence, on the other hand, supports a “two-type” model, according to which there are two fundamental kinds of implicit mental states: ISs and IEs (Amodio & Devine, 2006, 2009; Forbes & Schmader, 2010; Amodio & Ratner, 2011). Considering the evidence for a one-type vs. two-type model bears upon a number of other important questions. First, understanding the relationship between stereotyping and prejudice in implicit mental states may help to improve the predictive validity of indirect measures of attitudes. The predictive validity of the most widely used indirect measure—the Implicit Association Test (IAT; Greenwald et al., 1998)—has been questioned, and one potential limitation of the standard race-evaluation IAT is that it does not distinguish the relative contributions to test performance of liking/disliking social groups from beliefs about social groups. Second, given the centrality of the
Building Relationships with Portal Users

ABSTRACT Motivation for Web portal use is an important factor in the continued growth of e-commerce. Particularly for Web portals, motivation may be intertwined with various dimensions of a relationship that is cultivated between the portal and users. Specifically, the four motivation factors (feature, personalization, familiarity, and searching) are highly correlated to trust and satisfaction. Greater loyalty was found for AOL than for other portals, with no significant differences in relationship with Web users among the free Web portals such as Yahoo. Heavy web users and early adopters were more likely to use personalized Web portals and enjoy communicating with others through the Internet. Because a long relationship with Web portals is one motivation to use them, the highly correlated motivation factors found in this study are important to building strong relationships with Web users. These findings have implications for marketers and public relations practitioners.
The Impact of Mobile Technology on Micro and Small Enterprises in Zimbabwe in the Post-Hyperinflation Economic Era

This paper investigates the impact of mobile technology on Micro and Small Enterprises (MSEs) in the developing world in the post-hyperinflation era. Data was collected from a multi-staged sample of 114 MSE owners within the capital province of Zimbabwe, Harare. The data was collected and analyzed using descriptive quantitative survey methods, which comprised of hard-copy questionnaires, structured interviews and online questionnaires. The findings suggest that mobile technology has incremental, transformational and production influence on MSEs in Zimbabwe. The findings show that mobile technology amplifies communication and relations with customers, MSE’s productivity and MSE’s revenues. Mobile technology is also spurring new and innovative offerings such as mobile money, mobile banking and mobile advertising for the MSEs. This paper also provides the evidence that mobile technology is contributing to the creation of jobs in the indirect mobile industry sector, such as mobile money service and mobile application development. The paper generates insights that inform and compel creation of policies that enable and support the creation and growth of business in the mobile money, mobile retail services and mobile application development sectors.
“Escherichia coli‐milk” biofilm removal from stainless steel surfaces: Synergism between ultrasonic waves and enzymes

Three different methods to standardize biofilm removal for in situ sanitary control of closed surfaces in the food industry have been developed and compared, i.e. sonication, enzymatic treatment and a combined treatment which involved the application of ultrasound to enzyme preparations. The biofilm studied was an Escherichia coli model biofilm, made with milk on stainless steel sheets. Plate counting and epifluorescence microscopy were used to assess the efficiency of each treatment. The results are expressed in percentages, 100% denoting total removal, obtained with a flat ultrasonic transducer (T1) developed and presented in a previous study. The application of ultrasound by a patented curved transducer, T2 (10 s, 40 kHz), specifically devised for closed surfaces, was not sufficient to completely remove the biofilm (30 ± 7%). This biofilm was dislodged by two proteolytic enzyme preparations tested by immersion, viz. a 15‐min application of protease (84±1%) and a 30‐min trypsin application (95±8%). Using a combined treatment, the results showed a synergism between ultrasonic waves and proteolytic or glycolytic enzyme preparations, with removal of a significant amount of biofilm, i.e. 61–96% depending on the conditions tested, i.e. two to three times greater compared to sonication alone (30%). This application was in agreement with an industrial control, i.e. a good reproducible recovery of the biofilm in 10 s compared with 30 or 15 min with the enzyme alone.
The Impact of Service Offshoring on Agriculture and Food Sector Productivity Using the World Input-Output Table

The revolution of information and communication technologies has made service offshoring possible and economically feasible. Only a few studies are available on the impact of service offshoring on productivity in the agri-food sector even if service offshoring in agri-food industries has been increasing rapidly in recent years. This paper uses the world input-output data and the Arellano and Bond (1991) GMM estimator to analyze the impact of service offshoring on the productivity of agri-food industries. The results show service offshoring has had a positive impact on the food industry’s productivity due to the characteristics of food industry.
Identification of cytokine-regulated genes in human leukocytes in vivo.

BACKGROUND Human polymorphic nuclear granulocytes (PMNs) such as neutrophils and eosinophils play a critical role in mediating inflammatory responses to microbial and parasitic infections. Exposure of these leukocytes to cytokines leads to an amplification of granulocyte effector functions by a mechanism termed "priming. " Although many studies have investigated the effects of granulocyte priming, little is known concerning the molecular mechanisms that lead to this phenomenon. OBJECTIVE The purpose of this study was to identify potential markers for granulocyte priming and thus also to gain further insight into the pathogenesis of inflammatory responses. METHODS We used a modified differential display technique, random arbitrary primed-PCR to identify genes regulated during the priming of human polymorphic nuclear granulocytes by GM-CSF in vitro. Genes identified were validated by Northern blot analysis of in vitro and in vivo primed leukocytes. RESULTS Several genes were identified and their expression characterized in vitro. One of these genes, 5-lipoxygenase-activating protein, was also found to be up-regulated in leukocytes isolated after allergen challenge of allergic asthmatic patients. CONCLUSION The use of differential display technology is a rapid and effective means of identifying genes whose expression is regulated by priming in vitro and in vivo. Further analysis will lead to a better understanding of the priming phenotype and may provide further insight into the pathologic mechanisms of inflammatory processes.