The Impact of Governance Mechanism on Performance and Survival of Entrepreneurial Firms

The dissertation consists of two essays. The first essay studies governance structures and their effectiveness for start-up companies and their survival. We utilize data from the Kauffman Survey, which tracks a sample of firms from their inceptions through their first eight years of existence. We hypothesize and find evidence that a startup\u27s governance system affects its survivability as well as its performance. We show that controlling for the firm size and the industry, cross-sectional variations in the performance of the start-up firms can be explained by governance variables; the presence of one or more independent board member on the board, the separation between the person holding the CEO position and the chair of the board. From the startup survival perspective, we show that the presence of one or more independent board member(s), the separation between CEO and board chair, and external funding are effective factors that promote a start-up\u27s longevity. The second essay studies the direct and indirect relations between Governance and firm survival and performance through Entrepreneurial Orientation. Entrepreneurial orientation (EO) is defined as the attributes, including innovativeness, autonomy, risk-taking attitude, proactiveness, and competitive aggressiveness, that a business organization displays at the time of entry. Several researchers have studied the linkage between EO and organizational performance as well as the survival rate of new firms and find conflicting results. Reasons for the contradictory results might very well be the way the researchers have defined the EO attributes and the data source they use which is based on subjective responses. In the hopes of reducing inconsistent results, we propose that it is the governance factors that influence the performance and survival of these firm via mediating role of entrepreneurial orientation. Governance factors remove the definition as well as data measurement problems. By using the 8-year longitudinal data of 4928 startups, we show that governance system significantly impacts a start-up’s performance and survival via entrepreneurial orientation

The Impact of Governance Mechanism on Performance and Survival of Entrepreneurial Firms

The dissertation consists of two essays. The first essay studies governance structures and their effectiveness for start-up companies and their survival. We utilize data from the Kauffman Survey, which tracks a sample of firms from their inceptions through their first eight years of existence. We hypothesize and find evidence that a startup\u27s governance system affects its survivability as well as its performance. We show that controlling for the firm size and the industry, cross-sectional variations in the performance of the start-up firms can be explained by governance variables; the presence of one or more independent board member on the board, the separation between the person holding the CEO position and the chair of the board. From the startup survival perspective, we show that the presence of one or more independent board member(s), the separation between CEO and board chair, and external funding are effective factors that promote a start-up\u27s longevity. The second essay studies the direct and indirect relations between Governance and firm survival and performance through Entrepreneurial Orientation. Entrepreneurial orientation (EO) is defined as the attributes, including innovativeness, autonomy, risk-taking attitude, proactiveness, and competitive aggressiveness, that a business organization displays at the time of entry. Several researchers have studied the linkage between EO and organizational performance as well as the survival rate of new firms and find conflicting results. Reasons for the contradictory results might very well be the way the researchers have defined the EO attributes and the data source they use which is based on subjective responses. In the hopes of reducing inconsistent results, we propose that it is the governance factors that influence the performance and survival of these firm via mediating role of entrepreneurial orientation. Governance factors remove the definition as well as data measurement problems. By using the 8-year longitudinal data of 4928 startups, we show that governance system significantly impacts a start-up’s performance and survival via entrepreneurial orientation

Authentication Solutions in Industrial Internet of Things: A Survey

With the rapid growth of industry 4.0, the Industrial Internet of Things (IIoT) is considered to be a promising solution for converting normal operations to ‘smart’ operations in industrial sectors and systems. The well-known characteristics of IIoT has greatly improved the productivity and quality of many industrial sectors. IIoT allows the connectivity of many industrial smart devices such as, sensors, actuators and gateways. The connectivity feature makes this critical environment vulnerable to various cybersecurity attacks. Subsequently, maintaining the security of IIoT sys-tems remains a challenge to ensure their success. In particular, authenticating the connected IIoT devices is a must to ensure that they can be trusted and prevent any malicious attempts. Hence, the objective of this survey is to overview, discuss and analyze the different solutions related to de-vice authentication in the domain of IIoT. Also, we analyze the IIoT environment in terms of characteristics, architecture and security requirements. Similarly, we highlight the role of (machine-to-machine) M2M communication in IIoT. We further contribute to this survey by outlining several open issues that must be considered when designing authentication schemes for IIoT. Fi-nally, we highlight a number of research directions and open challenges

The Effects of TeleWound Management on Use of Service and Financial Outcomes

This study investigated the effects of a TeleWound program on the use of service and financial outcomes among homebound patients with chronic wounds. The TeleWound program consisted of a Web-based transmission of digital photographs together with a clinical protocol. It enabled homebound patients with chronic pressure ulcers to be monitored remotely by a plastic surgeon. Chronic wounds are highly prevalent among chronically ill patients in the United States (U.S.). About 5 million chronically ill patients in the U.S. have chronic wounds, and the aggregate cost of their care exceeds $20 billion annually. Although 25% of home care referrals in the U.S. are for wounds, less than 0.2% of the registered nurses in the U.S. are wound care certified. This implies that the majority of patients with chronic wounds may not be receiving optimal care in their home environments. We hypothesized that TeleWound management would reduce visits to the emergency department (ED), hospitalization, length of stay, and visit acuity. Hence, it would improve financial performance for the hospital. A quasi-experimental design was used. A sample of 19 patients receiving this intervention was observed prospectively for 2 years. This was matched to a historical control group of an additional 19 patients from hospital records. Findings from the study revealed that TeleWound patients had fewer ED visits, fewer hospitalizations, and shorter length of stay, as compared to the control group. Overall, they encumbered lower cost. The results of this clinical study are striking and provide strong encouragement that a single provider can affect positive clinical and financial outcomes using a telemedicine wound care program. TeleWound was found to be a credible modality to manage pressure ulcers at lower cost and possibly better health outcomes. The next step in this process is to integrate the model into daily practice at bellwether medical centers to determine programmatic effectiveness in larger clinical arenas.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63389/1/tmj.2007.9971.pd

Convolutional neural network in the classification of COVID-19

Covid-19 spread out rapidly around the world, forcing many countries to full shutdown, and economical and social consequences. Resulting in rapid need for new and effective methods to deal with this crisis and control it. X-ray lung images is considered one of the most effective and safe method for diagnosing Covid-19, since it could provide solid proof of the existing of the disease, and it has limited effect on the health of the human comparing with other radiography methods. In this proposed work, CNN model is designed and trained to classify Covid-19 X-ray images, by using the COVID-19 Radiography Database, which is published and available online. This database is collected by researchers and experts from various universities around the world. The database contains total of 15153 lung x-ray images, divided into three classes. The classification classes are: Normal, Covid-19, and Viral Pneumonia. The model is trained and tested on publicly available dataset. The dataset is divided into three parts: training, validation, and testing datasets. The model is evaluated based on the three of these datasets. Totally, the evaluation metrics include Accuracy, F1-score, Area Under Curve (AUC), Precision, and Recall, with values of greater than 98% for all of the evaluation metrics. Comparing the results with state of arts publications, which used the same dataset, the proposed method outperformed the state of arts publications depending on the evaluation metrics. The number of the trainable parameters in the proposed CNN model is about 25.4 millions

Contemporary Concepts of Neutrosophic Fuzzy Soft BCK-submodules

In this paper, we introduce the concept of neutrosophic fuzzy soft translations and neutrosophic fuzzy soft extensions of neutrosophic fuzzy soft BCK-submodules and discusse the relation between them. Also, we dene the notion of neutrosophic fuzzy soft multiplications of neutrosophic fuzzy soft BCK-submodules. Finally, we investigate some resultes

Cerebrospinal fluid changes in the renin-angiotensin system in Alzheimer's disease

Observations in autopsied brain tissue indicate that overactivation of the classical renin-angiotensin system (cRAS) and underactivity within regulatory RAS pathways (rRAS) are associated with pathology in Alzheimer’s disease (AD). The primary aim of this study was to investigate whether cerebrospinal fluid (CSF) markers of RAS are altered in AD in relation to established CSF markers of disease pathology (lower Aβ42 and elevated tau) and CSF markers of capillary dysfunction. We studied 40 controls and 40 AD cases grouped according to a biomarker profile (i.e., AD cases t-tau>400 pg/mL, pTau >60 pg/mL, and Aβ42 <550 pg/mL). Angiotensin-II converting enyme-1 (ACE1) and ACE2 enzyme activity was measured using fluorogenic peptide substrates; sPDGFRβ and albumin level by sandwich ELISA; and angiotensin-I (Ang-I), Ang-II, and Ang-(1-7) by direct ELISA. CSF Aβ42, total, and phosphorylated tau levels were previously measured by INNOTEST sandwich ELISA. CSF ACE1 activity was significantly elevated in AD (p = 0.008) and positively correlated with ACE2 in AD (r = 0.420, p = 0.007). CSF ACE1 weakly correlated with t-tau (r = 0.294, p = 0.066) and p-tau (r = 0.329, p = 0.038) but not with Aβ42 in the controls but not in AD. ACE1 correlated positively with sPDGFRβ (r = 0.426, p = 0.007), a marker of pericyte injury, and ACE2 correlated positively with albumin (r = 0.422, p = 0.008), a marker of blood-brain barrier integrity. CSF Ang-I, Ang-II, and Ang-(1-7) levels were unchanged in AD. This cross-sectional CSF study indicates RAS dysfunction in relation to capillary damage in

Biological Activities and Volatile Constituents of Aegle marmelos (L.) Corrêa from Nepal

Aegle marmelos, a deciduous fruit tree that grows in Nepal, has numerous uses in traditional medicine, being used as an anti-inflammatory, antidiarrheal, heart disease treatment, and in birth control. In this study, leaves were collected to obtain, analyze, and examine the bioactivity of the essential oil of A. marmelos, which is often referred to as bael tree in Nepal. The essential oil from leaves was obtained by hydrodistillation. The chemical composition, determined by GC-MS, revealed 82 compounds, with 81 components being identified. The major component was limonene (64.1%), with the other two abundant components being (E)-β-ocimene (9.7%) and germacrene B (4.7%). Bioassay screening of the essential oil indicated marginal toxicity against MCF-7 human breast adenocarcinoma cells (LC50 = 98.2 µg mL-1), but good larvicidal activity against mosquitoes (Culex pipiens) (LC50 = 2.15 µg mL-1), nematocidal activity against Caenorhabditis elegans, (LC50 = 113 µg mL-) and insecticidal activity against termites (Reticulitermes virginicus), fruit flies (Drosophila melanogaster), and fire ants (Solenopsis invica × richteri). The essential oil of A. marmelos showed remarkable brine shrimp lethality. Antimicrobial and antifungal activity of the leaf oil was negligible. Most of the observed biological activity was apparently due to the relatively high level of limonene (64.1%) in the essential of the leaf essential oil from A. marmelos