Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Knowledge Sharing, Absorptive Capacity, and Innovation Capability: Empirical studies in minimarkets

The retail business in minimarket format, in 2020, is facing a tough test because of the Covid19 pandemic. The decline in growth is the consequence (Aria, 2020; Judith, 2021; Pryanka, 2019; Kuncoro, 2020). Pandemics cause social, economic, political, and technological conditions to change dramatically. It can be a perfect example of the VUCA landscape. An environmental condition characterized by volatile, uncertain, complex, and ambiguous (Nangia & Mohsin, 2020). Unfavorable environmental conditions for business (Bennis & Nanus, 1985). When the business environment is VUCA in nature, it becomes increasingly difficult for organizations to keep up with the rhythm of change. The solution, knowledge needs to be empowered to gain competitive advantage (Cohen & Levinthal, 1990; Žemaitis, 2014; Rafique et al., 2018; Grant, 1996; Jasimuddin & Naqshbandi, 2019). Knowledge is the most essential component of innovation (Tsai, 2001; Liao et al., 2007; Intan-Soraya & Chew, 2013; Jasimuddin & Naqshbandi, 2019). The effectiveness of knowledge utilization depends on the organization's ability to manage intellectual capital (Chen & Huang, 2009). The ability to mobilize and disseminate knowledge possessed by employees and combine knowledge to learn something that leads to the creation of new products/services/processes is often labeled as innovation capabilities (Kogut & Zander, 1992; Oanh, 2019). Therefore, for minimarkets to get the optimal benefit from the knowledge, effective knowledge management is needed. The key to effective knowledge management is knowledge sharing management (Hendriks, 1999; Bock & Kim, 2002; Liao et al., 2007; Velmurugan et al., 2010). However, in a VUCA environment, business opportunities that arise continuously and competition are increasingly fierce, causing the knowledge held by the organization to be insufficient (Rafique et al. 2018). Minimarkets need to upgrade the knowledge base by bringing in knowledge from outside the organization (Cohen & Levinthal, 1990; Grant, 1996; Rafique et al., 2018). Minimarkets need the ability to acquire, assimilate, transform, and apply critical external knowledge to improve and reconfigure existing capabilities and knowledge to produce innovation (Camison et al., 2009; Rafique et al., 2018; Jasimuddin & Naqshbandi, 2019). This capability is known as the concept of absorptive capacity (Cohen & Levinthal, 1990; Zahra & George, 2002; Zou et al., 2018; Jasimuddin & Naqshbandi, 2019). There is a relationship between knowledge sharing, absorptive capacity, and innovation capability (Cepeda-Carrion et al., 2012; Jasimuddin & Naqshbandi, 2019). Unfortunately, to the best of researchers' knowledge, the relation between these three variables has not been implemented in minimarkets. Previous research has occurred in state-owned high-tech enterprises (Li, 2011), in knowledge-intensive industries (Liao et al., 2007), in SME (Wuryaningrat, 2013), in textile, metal, ARTICLE INFO
Mining quality determinants of product-service systems from user-generated contents

Abstract The concurrent availability of an ever-increasing volume of User-Generated Content (UGC) and text mining techniques has enabled methods to conduct both qualitative and quantitative research that was unimaginable a few years ago. These investigations have proved to generate interesting insights with potential implications in manufacturing and engineering design. This paper introduces a novel practical methodology to address the following research issue: how to infer the quality determinants of a Product-Service System (PSS) from UGCs? Analyzing a sample of UGCs by means of a topic modeling method, the idea of this study is to produce and examine the set of determinants relevant to the perception of the quality of a specific PSS. The application of the proposed approach is exemplified on a specific use-oriented PSS: car-sharing.
Optimizations of discrete garbage collections in computer reliability systems

In computer science community, garbage collection is a dynamic storage management technology to ensure the reliability of computer systems. In this paper, we consider two discrete garbage collection policies to meet the goal of time consumption for a generational garbage collector. That is, garbage collections occur at a nonhomogeneous Poisson process, (a) tenuring collection is triggered at the Nth minor collection preventively or at a threshold amount δ of surviving objects correctively, whichever takes place first, and (b), tenuring collection is triggered at the first collection when the amount of surviving objects has exceeded a threshold level δ and major collection is triggered at discrete times kT for a given T. Using the damage process and renewal theory, the expected cost rates are obtained, and their optimal policies for tenuring and major collections are discussed analytically and computed numerically.
Adaptive Cruise Control for Cut-In Scenarios Based on Model Predictive Control Algorithm

In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the cut-in vehicle and respond to it in advance. This paper proposes an adaptive cruise control (ACC) strategy based on the MPC algorithm for cut-in scenarios. A finite state machine (FSM) is designed to manage vehicle control in different cut-in scenarios. For a cut-in scenario, a method to identify and quantify the possibility of cut-in of a vehicle is proposed. At the same time, a safety distance model of the cut-in vehicle is established as the basis for the state transition of the finite state machine. Taking the quantified cut-in possibility of a vehicle as a reference, the model predictive control (MPC) algorithm, which considers the constraints of driving safety and comfort, is used to realize coordinated control of the host vehicle and the cut-in vehicle. Simulink–Carsim simulation studies show that the ACC strategy for a cut-in scenario can effectively identify a cut-in vehicle and quantify the possibility of cut-in of the vehicle. Faced with a cut-in vehicle, the host vehicle using the ACC strategy can brake several seconds early and switch the following target to the cut-in vehicle. Meanwhile, the acceleration and jerk of the host vehicle changes within a reasonable range, which ensures driving safety and comfort.
Seed Longevity and Its Association with Agronomic Traits in Soybean [Glycine max (L.) Merrill]

Background: Soybean is an important oilseed crop but it has poor seed longevity. Studies on seed longevity are very complex and hence, an indirect selection criterion should be identified. In this study, seed longevity and its association with agronomic traits of seven soybean varieties was evaluated in the year 2019-2020.Methods: Seed were kept for storage under ambient conditions for a period of 16 months (January 2019 to May 2020). Their germination was recorded at bimonthly intervals and seed longevity was inferred as the time period in months up to which the seed maintains its germination percentage above IMSCS.Result: Accordingly, Palam Early Soya 1 and Him Palam Hara Soya were classified as having short seed longevity (12 months). Hara Soya, Shivalik, Him Soya and Palam Soya were classified as having medium seed longevity (14 months). Whereas, PS 1556 was classified as having long seed longevity ( greater than 16 months). Further, it was found that seed longevity was positively associated with number of pods per plant and seed yield, and negatively associated with number of branches per plant and 100-seed weight. This study presents an indirect selection criterion based on some easily accessible parameters which have strong association with seed longevity.
The Research on Service Innovation of Theme Hotel

The innovation of hotel products is based on the product design and development of customers' perceived value. In recent years, the e-sports industry has grown rapidly in China. The differentiation and individualization of hotel’s innovative services have been provided enjoy a diverse accommodation experience for hotel customers. This research mainly focuses on "service innovation", "service quality" and "customer satisfaction" to make in-depth analysis and discussion, and provide a set of innovative standards and customer satisfaction basis for the theme hotel of e-sports services. Using SPSS narrative statistics, factor analysis, reliability and validity analysis, Pearson Productmoment Correlation Analysis, etc. Empirical research results: (1) The closer the “service innovation” is launched, the more it has a positive impact on “customer satisfaction”; (2) the stability and quality of “service quality” has a positive impact on “customer satisfaction”. Moreover, the research makes suggestions for the future development of the e-sports hotel as a reference.
Case Report: Managing Pregnancy With Type 1 Diabetes Using a Do-It-Yourself Artificial Pancreas System

The stakes are high when pregnancies are complicated by type 1 diabetes. In addition to the maternal risks, there are numerous fetal complications that can result from diabetes, including spontaneous abortion, fetal anomalies, neonatal birth trauma, macrosomia, neonatal hypoglycemia, hyperbilirubinemia, and fetal demise (1). Consequently, the American Diabetes Association (ADA) recommends stringent glycemic targets in pregnant women with type 1 diabetes to prevent adverse maternal and fetal outcomes.
Widespread Hydration of the Back Arc and the Link to Variable Hydration of the Incoming Plate in the Lesser Antilles From Rayleigh Wave Imaging

Subduction zone dynamics are important for a better understanding of natural hazards, plate tectonics, and the evolution of the planet. Despite this, the factors dictating the location and style of volcanism are not well‐known. Here we present Rayleigh Wave imaging of the Lesser Antilles subduction zone using the ocean bottom and land seismic data collected as a part of the VoiLA experiment. This region is an important global endmember that represents a slow (<19 mm/yr) convergence rate of old (80–120 Ma), Atlantic lithosphere formed at a slow spreading ridge. We image the fast slab, the fast‐overriding plate and the slow mantle wedge across the entire arc. We find slow velocity anomalies (∼4.1 km/s) in the mantle wedge directly beneath the arc with local minima beneath Dominica/Martinique, Montserrat and the Grenadines. We observe that slow velocities in the wedge extend 200 km into the back arc west of Martinique. The slowest mantle wedge velocity anomaly is more muted than several global wedges, likely reflecting the lower temperatures and less partial melt predicted for the Antilles. Subducted fracture zones and plate boundaries are a potential source of hydration, since they are located near the anomalies, although not directly beneath them. To match our observations, geodynamic models with a broadly hydrated mantle wedge are required, which can be achieved via deep hydration of the slab, and fluid release further into the back arc. In addition, 3‐D flow and melt migration or ponding are required to explain the shape and location of our anomalies.
Population movements based on mobile phone location data: the Czech Republic

ABSTRACT The paper presents new approaches to the visualisation of origin–destination flows, in which all three basic parameters of flows between pairs of geographic objects are cartographically expressed simply and clearly: the length of flows, their intensity, and the proportional distribution of both directions between pairs of objects (polarisation of flows). The data on population movements based on mobile phone location are used as the input information, which were collected from the whole territory of the Czech Republic. Apart from the visualisation of origin–destination flows, the paper addresses the issue of the transformation of these data through the application of two different interaction measures. The transformed flows are also cartographically visualised and the functional regions based on the respective interaction measures are used as base maps.
Debt financing, corporate investment and the productivity of capital invested: Evidence from biggest manufacturing countries

Abstract This study examines the impact of debt financing on the productivity of capital invested and the mediating role of corporate investment using data from manufacturing firms in China, Japan and the United States. We find that firms that use more debt capital are less likely to make overinvestment. It is found that overinvestment is more likely in firms that have high cash flow but low level of financial leverage. Our study also shows that companies with high debt and low cash flow have more probability of underinvestment. This is consistent with the view that financially constrained firms are more exposed to underinvestment problem. Furthermore, we documented that the use of debt financing has a positive impact on the productivity of the capital invested and that this effect is partly mediated by the investment of the manufacturing firms. This paper shades light into the present understanding of how companies use debt financing decisions to boost their investment efficiencies. The study has important management implications for corporate financial decisions as it identifies the links among corporate debt financing, investment and capital productivity.
Political Micro-Targeting in Kenya: An Analysis of the Legality of Data-Driven Campaign Strategies under the Data Protection Act

The 2013 general election marked the entry of data-driven campaigning into Kenyan politics as political parties begun collecting and storing voter data. More sophisticated techniques were deployed in 2017 as politicians retained the services of data analytics firms such as Cambridge Analytica, accused of digital colonialism and undermining democracies. It is alleged that political parties engaged in regular targeting and more intrusive micro-targeting, facilitated by the absence of a data protection legal
Modelling the Activation Pathways in Full-Length Src Kinase

Src kinases play fundamental roles in several crucial cell processes. Their activity is tightly regulated by conformational transitions between the active and the inactive forms, which are carried out by complex protein structural rearrangements. Here, we present an in-depth study of such structural transitions coupling extensive all-atoms molecular dynamic simulations coupled to an algorithm able to drive the system between defined conformational states. Our results, in line with the available experimental data, confirm the complexity of such a process indicating the main molecular determinants involved. Moreover, the role of an Src inhibitor—able to bind to the protein inactive state—is discussed and compared with available experimental data.
Xenobiotic-metabolizing cytochrome P450 enzymes in human lung

The cytochrome P450 (CYP) enzyme system in human lung is an essential component in the pulmonary carcinogenicity of several inhaled xenobiotic compounds. The aim of this study was to elucidate the expression and regulation of xenobiotic-metabolizing CYP enzymes in human lung. To evaluate which of the two is a better surrogate cell model for lung tissue, the expression patterns of CYP enzymes in alveolar macrophages and peripheral blood lymphocytes were clarified by reverse transcriptase-polymerase chain reaction (RT-PCR) and compared to the expression in lung tissue. The pattern of CYP expression in alveolar macrophages was found to closely resemble the expression pattern in human lung tissue, while the pattern in lymphocytes was markedly different. The expression of CYP2B6, CYP2C, CYP3A5, and CYP4B1 mRNAs in alveolar macrophages was demonstrated for the first time. To facilitate mechanistic studies on human pulmonary CYP induction, the A549 lung adenocarcinoma cell line was characterized by RT-PCR, and the CYP expression pattern was found to compare reasonably well to human lung epithelial cells. The induction of CYP1A1 by 2,3,7,8tetrachlorodibenzo-p-dioxin (TCDD) behaved as predicted, and CYP1B1 and CYP3A5 were also inducible by TCDD and dexamethasone, respectively. TCDD elevated the level of CYP1A1 mRNA (56-fold), while the induction of CYP1B1 mRNA was more modest (2.5-fold). The tyrosine kinase inhibitor genistein and the protein kinase C inhibitor staurosporine blocked CYP1A1 induction by TCDD, but did not affect CYP1B1 induction. The serine/threonine protein phosphatase inhibitor calyculin A and okadaic acid enhanced CYP1B1 induction slightly, but did not alter CYP1A1 induc-
An Effective Combination of Textures and Wavelet Features for Facial Expression Recognition

In order to explore the accompanying examination goals for facial expression recognition, a proper combination of classification and adequate feature extraction is necessary. If inadequate features are used, even the best classifier could fail to achieve accurate recognition. In this paper, a new fusion technique for human facial expression recognition is used to accurately recognize human facial expressions. A combination of Discrete Wavelet Features (DWT), Local Binary Pattern (LBP), and Histogram of Gradients (HoG) feature extraction techniques was used to investigate six human emotions. K-Nearest Neighbors (KNN), Decision Tree (DT), Multi-Layer Perceptron (MLP), and Random Forest (RF) were chosen for classification. These algorithms were implemented and tested on the Static Facial Expression in Wild (SWEW) dataset which consists of facial expressions of high accuracy. The proposed algorithm exhibited 87% accuracy which is higher than the accuracy of the individual algorithms. Keywords-ANN; FER; DWT; LBP; HOG; K-Nearest Neighbors
Medical Therapy of Burn Scar Before Any Plastic Surgery by Using Topical Corticosteroid Combined with Oral Zinc Sulfate

Background: Burn scar is one of the commonest medical problems that need intervention as initially treat burn infection, then preventing the scar, followed by treatment of scar.Plastic surgery interference should be considered as a last resort. Materials and Methods: This is case series descriptive and therapeutic interventional study where a total of 170 patients with burn scar were managed and evaluated. Their ages ranged from 1-40 years with a mean 25 year, 120 (70.58%) males and 50 (29.41%) females. All had history of burn and the age of scar was ranged from 0.5-3 years. All cases were treated with topical diluted clobetasol ointment combined with oral zinc sulfate with duration of 2-4 months. Scoring system of reduction of burn scar was introduced and applied and three parameters of response were considered: scar size reduction, improvement of itching and pigmentation whether hyper or hypopigmentation. The reduction in scoring was estimated as mild, moderate and marked reduction. Results: The results of this study showed 50% reduction rate while scoring system demonstrated statistically significant reduction with p value ≤0.001 at two months of therapy. While at four months, there was 75% reduction rate and with highly statistically significant reduction of scoring system p value ≤0.0001. The reduction of scar scoring was mild in 20% of cases and moderate in 30% while marked in 50% of patients at the end of four months of therapy. Conclusion: Medical therapeutic intervention should be started as early as possible to minimize scar formation, to reduce the scar size and treat pigmentary problems. This therapeutic trial will minimize plastic surgery need. Also newly invented scoring system was introduced to evaluate the response to treatment.
Improving reasoning with contrastive visual information for visual question answering

Visual Question Answering (VQA) aims to output a correct answer based on cross-modality inputs including question and visual content. In general pipeline, information reasoning plays the key role for a reasonable answer. However, visual information is commonly not fully employed in many popular models nowadays. Facing this challenge, a new strategy is proposed in this work to make the best of visual information during reasoning. In detail, visual information is divided into two subsets: (1) question-relevant visual set, and (2) question-irrelevant visual set. Then, both of these two sets are employed by reasoning to generate reasonable outputs. Experiments are conducted on the benchmark VQAv2 dataset, which demonstrate the effectiveness of the proposed strategy. The project page can be found in https: //mic.tongji. edu.cn/e6/8d/c9778a190093/page.htm.
Inherent Sex Differences in the Expression of the Endocannabinoid System within V1M Cortex and PAG of Sprague Dawley Rats

Background: Several chronic pain disorders, such as migraine and fibromyalgia, have an increased prevalence in the female population. The underlying mechanisms of this sex-biased prevalence have yet to be thoroughly documented but could be related to endogenous differences in neuromodulators in pain networks, including the endocannabinoid system. The cellular endocannabinoid system is comprised of the endogenous lipid signals 2-AG (2-arachidonoylglycerol) and AEA (anandamide); the enzymes that synthesize and degrade them; and the cannabinoid receptors. The relative prevalence of different components of the endocannabinoid system in specific brain regions may alter responses to endogenous and exogenous ligands. Methods: Brain tissue from naïve male and female Sprague Dawley rats was harvested from V1M cortex, periaqueductal gray, trigeminal nerve, and trigeminal nucleus caudalis. Tissue was analyzed for relative levels of endocannabinoid enzymes, ligands, and receptors via mass spectrometry, unbiased proteomic analysis, and immunohistochemistry. Results: Mass spectrometry revealed cortical AEA levels were significantly higher in males compared to females (p<0.001), whereas 2-AG levels in periaqueductal grey were significantly higher in females compared to males (p<0.0001). Immunohistochemistry followed by unbiased proteomics confirmed the prevalence of 2-AG-endocannabinoid system enzymes in the female PAG.Conclusions: Our results suggest that sex differences exist in the endocannabinoid system in two CNS regions relevant to cortical spreading depression (V1M cortex) and descending modulatory networks in pain/anxiety (PAG). These basal differences in endogenous endocannabinoid mechanisms may facilitate the development of chronic pain conditions and may also underlie sex differences in response to therapeutic intervention.
Gastric Cancer screening – does it exist or not? - literature review

INTRODUCTION AND PURPOSE: Gastric cancer (GC) is one of the biggest healthcare problem in the world. Despite the fact that the incidence of this cancer has decreased recently, GC is on the fifth place of causes of morbidity and on the second place of causes of mortality. Therefore, some countries such as Japan and South Korea have decided to establish and develop screening methods to detect GC as early as it is possible and to begin early treatment. DESCRIPTION OT THE STAGE OF KNOWLEDGE: There are many types of screening methods such as: markers of atrophy- serum-pepsinogen test and low serum gastrin-17 concentration, barium photofluorography of mucosa or endoscopy. Upper gastrointestinal endoscopy has the highest detection rate in high-incidence areas, compared to other screening methods, because upper endoscopy makes it possible to highlight changes such as flat and non-ulcerative lesions, which are usually invisible in barium examination. An alternative to screening is the massive eradication of Helicobacter pylori. Occasionally some countries recommend genetic testing and prophylactic gastrectomy. CONCLUSIONS: Despite the high incidence of GC in Asian countries, there is still a lack of data on the cost-effectiveness of mass screening for GC. The main factor influencing the profitability of screening tests for GC is the cost of upper gastrointestinal endoscopy. Moreover, the value and usefulness of the GC screening program remains controversial in many countries.