Miracle-dz/UniFAR-FTUs huggingface dataset:
Organization Behavior On Corporate Venture Capital

Digital related businesses are growing significantly and globally and, increasing 20% on average from 2014 to 2020;it is dominated by new rising startups based in Silicon Valley. The financing model implemented by those startups uses Venture Capital (VC) model. There are a lot of numbers of VC in the world performing a fund rising investing on new startups.Big corporates also participate in investing on those startups using subsidiary company acting as a Corporate Venture Capital (CVC) vehicle that managesthe fund from the parent company. Since 2014, CVC has become the major leading investors in many venture transactions with a big share of venture pie. Venturing is a risky business with a high failure rate and big money involved, but the higher risk at stake will give the higher possibilities of gaining for the company. Big corporates that have strategies on investing by using merger and acquisition models will face difficulties when they invest in this kind of high-risk business. Traditional approaches and thresholds from existing investment models will not match the nature of this business and should be changed by using the venturing scheme. This research explores the change and shift behavior of organization starting from the big corporates to corporate venture capital when they are doing investment using CVC as a venturing vehicle.
Role of Interleukin-17 in defense against pseudomonas aeruginosa infection in lungs.

BACKGROUND Pseudomonas aeruginosa may cause severe or even fatal infection in hosts with immunodeficiency. Interleukin-17 (IL-17) is a newly discovered pro-inflammatory cytokine, which promotes the recruitment and activation of neutrophils in the respiratory tract by inducing release of chemokine C-X-C. OBJECTIVE This study was conducted to explore the role of IL-17 in host defense against acute pseudomonas aeruginosa infection in lungs. METHODS The expression of IL-17 and its downstream effectors (IL-1β, MIP-2 and G-CSF) were detected in mouse lungs with acute pseudomonas aeruginosa infection; 48 h after intratracheal administration of justice plasmid, mice were infected with pseudomonas aeruginosa again, and the bacterial clearance rate and the expression of downstream effectors of IL-17, as well as the mice death rate, were determined 6 h later. RESULTS The expression of IL-17 and its downstream effectors (IL-1β, MIP-2 and G-CSF) significantly increased in mouse lungs with acute pseudomonas aeruginosa infection. After intratracheal administration of justice plasmid expressing IL-17, the expression of IL-17 and its downstream effectors significantly increased, accompanied by increase in neutrophil count. The justice plasmid expressing IL-17 was intratracheally administered before acute pseudomonas aeruginosa lung infection, which significantly increased the expression of IL-17 and its downstream effectors (IL-1β, MIP-2 and G-CSF) in the respiratory tract, leading to increasing clearance rate of bacteria and survival rate. CONCLUSION IL-17 may recruit neutrophil to the infected areas in the early phase of pseudomonas aeruginosa lung infection.
Microstructure Models with Short-Term Inertia and Stochastic Volatility

Partially observed microstructure models, containing stochastic volatility, dynamic trading noise, and short-term inertia, are introduced to address the following questions: (1) Do the observed prices exhibit statistically significant inertia? (2) Is stochastic volatility (SV) still evident in the presence of dynamical trading noise? (3) If stochastic volatility and trading noise are present, which SV model matches the observed price data best? Bayes factor methods are used to answer these questions with real data and this allows us to consider volatility models with very different structures. Nonlinear filtering techniques are utilized to compute the Bayes factor on tick-by-tick data and to estimate the unknown parameters. It is shown that our price data sets all exhibit strong evidence of both inertia and Heston-type stochastic volatility.
Angiogenesis , Metastasis , and the Cellular Microenvironment Anti – IL-20 Monoclonal Antibody Alleviates In fl ammation in Oral Cancer and Suppresses Tumor Growth

Interleukin-20 (IL-20) is a proinflammatory cytokine involved in rheumatoid arthritis, atherosclerosis, and osteoporosis. However, little is known about the role of IL-20 in oral cancer. We explored the function of IL-20 in the tumor progression of oral cancer. IL-20 expression levels in tumorous and nontumorous oral tissue specimens from 40 patients with four different stages oral cancer were analyzed with immunohistochemistry (IHC) staining and quantitative real-time PCR (qRT-PCR). Expression of IL-20 and its receptor subunits was higher in clinical oral tumor tissue than in nontumorous oral tissue. The role of IL-20 was examined in two oral cancer cell lines (OC-3 andOEC-M1). In vitro, IL-20 promotedTNF-a, IL-1b,MCP-1, CCR4, andCXCR4 and increased proliferation, migration, reactive oxygen species (ROS) production, and colony formation of oral cancer cells via activated STAT3 and AKT/JNK/ERK signals. To evaluate the therapeutic potential of anti–IL-20 monoclonal antibody 7E for treating oral cancer, an ex vivo tumor growth model was used. In vivo, 7E reduced tumor growth and inflammation in oral cancer cells. In conclusion, IL-20 promoted oral tumor growth, migration, and tumor-associated inflammation. Therefore, IL-20 may be a novel target for treating oral cancer, and anti–IL-20 monoclonal antibody 7E may be a feasible therapeutic. Mol Cancer Res; 10(11); 1430–9. 2012 AACR.
A quad 3.125 Gbps transceiver cell with all-digital data recovery circuits

This paper describes a quad 3.125 Gbps transceiver focusing on digital data recovery circuits. Effect of each design parameters on jitter tolerance (JTOL) is analyzed and for better JTOL, a new phase-averaging method with internal forward path is proposed. On-chip JTOL measurement circuits are implemented to characterize the transceiver performance, and it shows that the proposed method improves the JTOL about 0.1 UI. Implemented in 0.13 CMOS, the transceiver tolerates up to 0.67 UI of total jitter at 3.125Gbps.
The Incremental Reach and Cost Efficiency of Online Video Ads over TV Ads

As people spend more time online, an increasing number of brand marketers are including video ads in their advertising campaigns. These advertisers would like to know the incremental reach and cost efficiency of their video and display ads compared to their TV ads. In this paper, we measure the incremental reach to a target demographic and estimate the cost per incremental reach point of YouTube (YT) and the Google Display Network (GDN) compared to TV ad campaigns. We consider two media planning scenarios: what it would have cost for the TV ad campaign to have delivered the equivalent of the online incremental reach, and what saving could have been achieved by having spent less on TV ads and complementing them with online ads for a given reach goal.
Methods to Estimate the Optimal Threshold for Normally or Log-Normally Distributed Biological Tests

Putting a screening or a diagnostic test into everyday use requires the determination of its threshold. The authors present methods that yield a point and an interval estimation of the threshold that maximize the population utility whenever the test results are normally or log-normally distributed among healthy and among diseased subjects, with equal variances. These methods were assessed for bias, coverage probability, coverage symmetry, and confidence-interval width using simulation. They proved to be asymptotically nonbiased and to have a satisfactory coverage probability whenever the sample sizes of the healthy and the diseased subjects are equal to or greater than 50. The methods were next applied to determine an optimal threshold for the antibody load used to diagnose congenital toxoplasmosis at birth. The methods are easy to implement and impose few constraints; however, the sample sizes should be carefully determined according to the required accuracy.
Diversity of Thermophilic Anaerobes

Thermophilic anaerobes are Archaea and Bacteria that grow optimally at temperatures of 50°C or higher and do not require the use of O2 as a terminal electron acceptor for growth. The prokaryotes with this type of physiology are studied for a variety of reasons, including (a) to understand how life can thrive under extreme conditions, (b) for their biotechnological potential, and (c) because anaerobic thermophiles are thought to share characteristics with the early evolutionary life forms on Earth. Over 300 species of thermophilic anaerobes have been described; most have been isolated from thermal environments, but some are from mesobiotic environments, and others are from environments with temperatures below 0°C. In this overview, the authors outline the phylogenetic and physiological diversity of thermophilic anaerobes as currently known. The purpose of this overview is to convey the incredible diversity and breadth of metabolism within this subset of anaerobic microorganisms.
A spatial cluster method for prime farmland selection

In China, the protection of prime farmland is a national policy of eminent importance. From an analytical perspective, its central mission, designating qualified cultivated land as prime farmland, is a comprehensive multi-attribute ranking problem. The paper first analyzed the shortcomings of the existent methods, and then proposed a spatial clustering method for prime farmland designation. The main processes were as follows: (1) Building of index system of prime farmland delimiting; (2) Evaluation of index weights according to expert knowledge; (3) Partition of study area on account of the accuracy. Data of elliptical regions that was preprocessed was put into model of spatial clustering. (4) The land parcels in same cluster is combined into larger units, ranking the result units by holistic productivity level, and selecting the super units which meet the requirement of prime farmland, finally modulating the result according to the correlated policy. The final result can be acquired. Take Jiyang County, Shandong, as a study area, the research showed that the model of selecting cultivated land into prime farmland by GA-K means spatial clustering can effectively solve the existing problems. The prime farmlands were obviously more concentrative, the isolated land parcel fragments were removed effectively, and spatial gathering level was enhanced remarkably. All that makes it a scientifically sound and practically feasible tool to protect and manage prime farmland, and monitor the prime farmland, and realize the aim of scientific and scale management.
WASTK: A Weighted Abstract Syntax Tree Kernel Method for Source Code Plagiarism Detection

In this paper, we introduce a source code plagiarism detection method, named WASTK (Weighted Abstract Syntax Tree Kernel), for computer science education. Different from other plagiarism detection methods, WASTK takes some aspects other than the similarity between programs into account. WASTK firstly transfers the source code of a program to an abstract syntax tree and then gets the similarity by calculating the tree kernel of two abstract syntax trees. To avoid misjudgment caused by trivial code snippets or frameworks given by instructors, an idea similar to TF-IDF (Term Frequency-Inverse Document Frequency) in the field of information retrieval is applied. Each node in an abstract syntax tree is assigned a weight by TF-IDF. WASTK is evaluated on different datasets and, as a result, performs much better than other popular methods like Sim and JPlag.
Amplify the Reach of Contents in WeChat Moments: Analysis of Key Factors for Boosting Page View

As private social media such as Snapchat and WhatsApp becomes popular among the world, businesses and individuals are interested in advertising products or publicizing them-selves to customers via private social media. However, it is difficult for a business to know how to attract customers on such platforms because the information of, for example, the number of followers of a user, is not public and does not have much value. Businesses can neither obtain users' dialogues in their chat because social media companies usually do not sell their data to other businesses. This paper analyzes WeChat (the most popular social media in mainland China), and specifically, WeChat web applications (an HTML5 webpage embedded WeChat, frequently used for advertisements or publications). For a promotion to be successful, businesses usually seek to have as many viewers read their applications as possible (defined as page view in this paper). We define several key features of an application, and find what qualities or features of an application boost its page view. Ultimately, we provide suggestions from various perspectives for publishers to maximize the page view for their applications.
Commercially Available Active Device Based Grounded Inductor Simulator and Universal Filter with Improved Low Frequency Performances

In this paper, a new grounded inductor simulator employing two current feedback operational amplifiers (CFOAs), three resistors and one grounded capacitor which is suitable for IC fabrication is proposed. Also, a new voltage-mode (VM) universal filter with three input and single output is given as application example of the grounded inductor simulator. The universal filter with low output impedance can be easily cascaded with other VM circuits. Both of the proposed circuits have the feature of improved low frequency performances, and can be easily constructed by two commercially available active devices such as AD844s. However, both inductor simulator and universal filter need a single passive component matching condition. Simulation and experimental test results are given to demonstrate the performance and workability of the proposed grounded inductor simulator and filter structure.
Examination of Health Messages in Food Advertising: A Case of South Korea

As the public interest in health information has increased globally, the use of health benefits in food advertisements is becoming more essential for food marketing strategy. Consumers view a food product as healthy if it carries a health claim, whereas there has been an ongoing debate about the value of health claims as a strategy to help consumers’ healthier food consumption. The present study attempted to examine the food commercials broadcast on Korean network television in terms of claim types and executional elements. Results indicate that television food advertising has made a wide number of implied “soft” health claims (e.g., “good for health”) without substantial information and call into question whether consumers are misled or deceived by the executional elements used for presenting health messages. The findings of the study raise regulatory concerns about the provision of potentially confusing or misleading health messages in food advertising nationally as well as internationally and suggest further research in this area.
Tenancy support for substance users: A study of the Handel Street Tenancy Support Team

homeless substance users is highly specialised. Often, such service users are regarded as too difficult for most mainstream services. The service users of the Handel Street Tenancy Support team receive specialised support in securing and keeping a tenancy of their own, settling into the local community and managing their substance use. Eight service users and three members of staff were interviewed using a semi-structured schedule. The findings from the service users provided the framework for the staff interview schedule. Some basic demographics were collected about the service users. From the research findings presented here, the Handel Street Tenancy Support team success lies in providing specialised support which enables service users to maintain their tenancies, manage their substance use and address a range of other issues from health and training to family contact. T nancy upport for substance users:
Facial expression recognition using two-tier classification and its application to smart home automation system

With the convergence of smart technologies and advancement in electronic equipment the concept of smart home system swiftly escalates. The idea is to automate the home appliances according to the user requirements without human intervention. After a long tiring day and heavy workloads user will not be in a state of taking out its mobile phone and pressing the buttons for controlling home appliances. Several methods have been proposed in the design of such systems using sensors, biometrics and face detection. This paper proposes a method for detecting human emotions by taking into account the complete facial analysis, suggesting that the emotions can accurately be determined by analyzing eyes, nose and lips separately hence covering a wide range of emotions. The classification is carried out by acquiring the image of user followed by the face detection and segmenting the region of interests (ROI) i.e. eyes, nose and lips for further analysis of emotions. Principle Component Analysis (PCA) along with feature extraction techniques and Support Vector Machines (SVMs) are used for classification of emotion for the said automation system. Policies have been implemented in Java to simulate the home automation environment for testing and validation. At the instant this system has been tested on a single user with 4 basic emotions i.e. sad, anger, happiness and neutral, but this study can be a basis to develop an automated system with variety of emotions for multiple users.
Heterogeneity in managerial strategies and internationalization of firms: the case of Italy

The recent empirical literature on firm performance has highlighted the multidimensional concept of managerial strategies. The paper analyzes the nexus between these strategies and performance based on specific entrepreneurs’ characteristics, corporate strategies, organizational capabilities and firms’ approaches to internationalization. Using a dataset obtained by matching and merging Capitalia, ICE-Reprint and AIDA surveys we investigate the possible non-linear impact of managerial strategies on firm performance in Italy. While the specific entrepreneurs’ characteristics do not seem to have a significant impact on firm performance, the mode of internationalization plays an important role. Important non-linearities arise when we singled out the role of skilled workers and managers in determining a firm’s success in highly competitive markets.
A comparative study of value creation in online brand communities

A COMPARATIVE STUDY OF VALUE CREATION IN ONLINE BRAND COMMUNITIES Guoyu Wang Advisor: University of Guelph, 2014 Professor May Aung This study investigated globalization and localization impacts on value creation in two online forums of high-tech products. Currently, few comparative studies have been conducted to understand the localization impact, especially for globalized high-tech products, such as iPhones. This study applied a Netnography of everythingiCafe and weiphone.com iPhone forums and explored four values, functional, social, entertainment, and cultural, created respectively in both forums. Furthermore, this study investigated similarities, differences as well as some unique elements reflecting the local consumption context of each value. Findings in this thesis are beneficial to the academic community as they take diverse local consumption cultures into account and offer an extended conceptual understanding of online brand communities. This study also offers implications for companies and marketers in creating marketing strategies.
Coupled field and space-vector equations of bearingless synchronous reluctance machine

This paper presents a systematic approach for coupling the space-vector model of a synchronous machine with the static field equations and solve the whole system of equations with the finite element method. The aim of the approach is to reduce the computation time without losing the accuracy. The methodology is validated on a permanent magnet synchronous machine and then applied to a bearingless synchronous reluctance machine. Comparison of the results with the measurements and the time stepping finite element analysis shows that the method has great potential in reducing the computation time and reproducing accurate results.
Using means-end chains and hierarchical value maps in leisure winery tourism values for Taiwanese and Chinese tourists

Perceived values have an effect on a consumer's behaviour. As there is a paucity of literature examining wine tourists' perceived values, this study utilises a means-end chain technique, a qualitative method that has been increasingly adopted by tourism researchers, to delve into winery consumers' reflections on their own personal values through the consequences and attributes they perceive in their winery experience. Forty tourists, including 20 Taiwanese and 20 Chinese, were interviewed one-on-one at five Taiwanese wineries. The results show that six attributes are recognised: opportunities for purchasing local agricultural products, experiencing DIY leisure, being close to nature, beautiful pastoral landscape, pure leisure vacationing, and savouring local cuisine. Moreover, both individual values (better relationships with others, personal enjoyment, and quality of life) and social values (social belonging and fond memories) also emerged. Further analysis revealed a difference between Taiwanese and Chinese tourists' perceived values.
The development of new-onset type 2 diabetes associated with choosing a calcium channel blocker compared to a diuretic or beta-blocker

ABSTRACT Objective: It has been acknowledged that patients who receive a beta-blocker or diuretic based regimen are at increased risk of developing new-onset diabetes. Recently, angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) have been shown to decrease patients’ odds of developing new-onset type 2 diabetes. A number of large placebo-controlled multi-center trials in post-myocardial infarction and heart failure patients have shown the ability of renin-angiotensin-aldosterone system medications to reduce the onset of type 2 diabetes. Pharmacologic data has shown improved insulin sensitivity with ACEIs and ARBs. Controversy persists regarding the influence of calcium channel blockers on the development of new-onset diabetes. Research design and methods: Two reviewers conducted a systematic literature search of Medline, EMBASE, CINAHL, and the Cochrane Library (1966 to December 2006) to extract a consensus of trial data involving calcium channel blockers versus diuretics or beta-blockers with an endpoint of new-onset type 2 diabetes. Studies were included if they were randomized controlled trials versus routine treatment, not observational studies of clinical practice. A random-effects model was utilized. Subgroup and sensitivity analyses were conducted. Results: Out of 1721 trials, six meeting inclusion criteria were identified, including 99 006 patients. Calcium channel blockers were associated with a reduced incidence of new-onset type 2 diabetes (odds ratio 0.81; 95% confidence interval [CI] 0.73–0.90; p = 0.0001) compared with diuretic or beta-blocker therapy. The reduction in new-onset type 2 diabetes was maintained when a calcium channel blocker was compared to only thiazide diuretics (OR 0.86; 95% CI 0.75–0.99; p = 0.0346). The meta-analysis was limited by the varying definition of new-onset type 2 diabetes mellitus, as well as the potential for publication bias, which is a limit of any meta-analysis. Conclusions: Calcium channel blockers may be associated with reduced odds of developing new-onset type 2 diabetes compared to diuretics and beta-blockers.