Miracle-dz/UniFAR-FTUs huggingface dataset:
What Are The Determinants of Governance Private Equity Firms?

Attesting of their attraction to entrepreneurship, we studied how private equity firms are governed? Thus, we noted during our literature review, that the organization of the private equity industry was based on the Anglo-Saxon model of Limited Partnerships and that governance determinants can rely on the characteristics of the investment funds as well as the profile of the General Partner. Therefore, we have been able to justify that the determinants of governance are essentially based on factors relating to the VC / Buy Out typology, the size and the affiliation degree of the investment fund and those relating to the GP's participation in the capital that align the interests of the Limited Partners with those of the General Partner. Key Word: Governance, Private Equity Firms, General Partner, Limited Partners. ------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 26-12-2019 Date of Acceptance: 11-01-2020 -------------------------------------------------------------------------------------------------------------------------------------
Indexing Images Using AMR for Efficient Storing And Retrieval

: In-memory memory mechanisms become the new trend for multiple high-performance systems such as Database and Real-time processing systems. With the proliferation of social networks and mobile multimedia applications, Approximate Nearest Neighbor (ANN) search has become even more demanding as it needs to maintain high search accuracy over a massive amount of multimedia content. To achieve a high search accuracy, ANN search framework focus on two main process: i) the efficient index/storage ii) the similarity search. An approximate media storm indexing mechanism was introduced to handle fast incoming images. This mechanism indexes the new descriptor vectors however it does not provide parallelization while indexing new descriptors. Also this mechanism provides high latency and high CPU issue while performing ANN search since multiple duplicate images will be indexed. Hence in the proposed method, the approximate media storm indexing mechanism utilizes the Map Reduce paradigm to parallelize the sequential indexing mechanism by indexing the images in a non-complex data structure and eliminate the duplicate indexing in the database. The query image is processed and retrieved with existing images using Euclidean and Manhattan distance method thus reducing the I/O latency while performing image search and retrieval.
1-D Assessment of Formation Pressure from Transit Time and Shale Diagenesis of an Onshore Field in Niger Delta

Modeling formation pressures as an input by the engineers into drilling programs come in different styles and reliability. Kicks, loss of circulation, blowouts and even loss of lives are some of the major tragedies associated with poor modeling. The use of 1D has proved to be a sufficient tool; however, it has fallen short of modeling inflation in formation pressure alongside other pressures. The integration of 1D and clay diagenesis to infer formation pressure is robust. Gamma ray logs were loaded into the log panel for correlation, normal compaction was generated from sonic log while overburden stress (OBS) was estimated from density log. Transit time from sonic was used in obtaining Vertical Effective Stress (VES) by applying an exponent and deducting VES from the OBS to obtain formation pressure (FP). Percentage of Illite/Smectite + Illite (ILLISM) transformation and Kaolinite +Dickite + Halloysite transformation to illite were obtained from clay minerals analysed by XRay Diffraction (XRD). These percentages were then tied to formation pressures from the 1D assessment. In Well A, peak geopressures of 5549.12psi and 7873.07psi at8306.50ft and 11405ft respectively dropped to 6831.92psi at 11566ft. 29% weight of ILLSMrecorded at 8090ft,slightly deeper than 8027ft yielded 4407.85psi; 32% ILLISM was present at 8330ft close in depth to 8306ft of 5549.12psi. Depth of 11405ft with formation pressure 873.07psi was 250ft above 11630ft which recorded 25% ILLISM. Well E yielded high overpressures with 6077.89psi and 8085.33psi at the depths of8259.87ft and 10867.63ft respectively. Mild high formation pressure of 5853.26psi rose steadily at 8819.42ft. Depths of high illite/smectite mix in Well A tied well with its mildly high formation pressure depths. Well E is of high formation pressure.
Fault Tolerant Congestion Based Algorithms in OBS Network

In Optical Burst Switched networks, each light path carry huge amount of traffic, path failures may damage the user application. Hence fault-tolerance becomes an important issue on these networks. Blocking probability is a key index of quality of service in Optical Burst Switched (OBS) network. The Erlang formula has been used extensively in the traffic engineering of optical communication to calculate the blocking probability. The paper revisits burst contention resolution problems in OBS networks. When the network is overloaded, no contention resolution scheme would effectively avoid the collision and cause blocking. It is important to first decide, a good routing algorithm and then to choose a wavelength assignment scheme. In this paper we have developed two algorithms, Fault Tolerant Optimized Blocking Algorithm (FTOBA) and Fault Tolerant Least Congestion Algorithm (FTLCA) and then compare the performance of these algorithms on the basis of blocking probability. These algorithms are based upon the congestion on path in OBS network and based on the simulation results, we shows that the reliable and fault tolerant routing algorithms reduces the blocking probability.
Systemic Model of Neighborhood Crime

The systemic model posits that informal control reduces crime and that social networks reduce crime indirectly by stimulating informal control. The systemic literature consistently supports the informal control-crime relationship but reveals wider variation in the measurement and effects of network dimensions. Recognizing this pattern, some scholars advocate an explicit distinction between networks and informal control. We formally address that issue with analysis of the measurement structure of multiple network and informal control indicators using data collected in 300 Seattle neighborhoods. Results reveal several distinct network dimensions that are themselves distinct from informal control. Regression analysis supports the systemic model: informal control reduces crime victimization, and 1 Department of Sociology, The Ohio State University, Columbus, OH, USA Corresponding Author: Paul E. Bellair, The Ohio State University, Department of Sociology, 124 Townshend Hall, 1885 Neil Avenue Mall, Columbus, OH 43210 Email: bellair.1@osu.edu Journal of Research in Crime and Delinquency 47(4) 496-521 a The Author(s) 2010 Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/0022427810375578 http://jrcd.sagepub.com
THE CLINICAL SIGNIFICANCE OF EXTRAORDINARY POSITIVE EXPRESSION OF LIVIN IAP IN NSCLC

[Objective]To research the expression of Livin IAP in non-small cell lung cancer(NSCLC)and normal lung tissue,discuss the relevance between the level of expression and clinical pathological factors and provide the reference for the clinical diagnosis and treatment of lung cancer. [Methods]The immunohistochemistry method was applied to determine the expression of Livin IAP in NSCLC,46 cases of NSCLC tissues and 10 cases of benign lesion lung tissues treated by surgery in our hospital.Data were analysed by statistical methods,such as χ2 test and paired-sample T test. [Results]The positive rates of Livin IAP in NSCLC,para-NSCLC and benign lesion lung tissues were 67.4%,19.6% and 0.0% correspondingly and had a significant difference(P﹤0.05). The expressions of Livin IAP had no significant difference in lung cancer tissues with different pathological types and grades of differentiation(P﹥0.05). The significant difference was found in lung cancer tissues with metastatic lymph node and different stages(P﹤0.05). [Conclusion]Extraordinary positive expression of Livin IAP in NSCLC tissues may be a new marker and a new target point in clinical diagnosis and treatment of NSCLC.
Integrated Optical Wireless Network For Next Generation Wireless Systems

The demand of bandwidth in mobile communication is growing exponentially day-by-day, as the numbers of users have been increased drastically over the span of last five years. The next generation wireless communication systems therefore need to be of higher standards, so as to support various Broadband wireless servicessuch as, Video conferencing, mobile videophones, high-speed Internet access etc. The existing wireless systems can hardly provide transmission capacity of the order of few Mbps. However, millimeter (mm) waves and optical fiber technology has the potential of providing data capacity of the order of Mbps and Tbps respectively. Therefore the requirements of broadband wireless system can be met through the integration of optical fiber and millimeter wave wireless systems. In this paper we suggest a modified millimeter wave wireless system using orthogonal frequency division multiplexing (OFDM) technique, integrated with optical fiber as a feeder network. Here we have investigated how well OFDM performs when transmitted over the wireless channel and multi mode optical fiber (MMOF) channel for various S/N values & fiber length respectively. Simulated performance shows that as the SNR is increased the signal gets less affected by noise; hence there will be fewer errors in decoding. For SNR greater than 12 dB, there is no significant difference observed in the received constellation. Therefore, it is not recommended to increase the SNR above 12 dB, as it results in unnecessary enhancement of the system complexity. When simulated results of Fiber are compared with AWGN channel, it is observed that the performance of MMOF link even for distance of 100 KM is better than that of the AWGN channel with SNR of 50 dB & above, due to the better transmission capabilities of Optical fiber.
Forgery and Packet Drop Recognition Using Bloomfilter Mechanism in Wireless Sensor Network

In several application domains, giant scale device networks area unit being deployed to gather device knowledge that may be utilized in deciding for important infrastructures. A malicious opponent might introduce a malicious node into the network or might compromise the prevailing legitimate node inside the network. Hence, making certain trustiness of knowledge is critical for effective deciding. Knowledge root could be a key think about evaluating trustiness of knowledge in device network. But, root management in device network faces many challenges like low energy, storage and information measure consumption, restricted resources, and opponent attack throughout transmission. During this paper, a completely unique light-weight theme is projected to firmly transmit root knowledge in wireless device network In this paper technique uses in packet bloom filter to encrypt birthplace knowledge. We tend to introduce economical mechanism for birthplace verification and reconstruction of birthplace at base station. Additionally the theme is extended with further practicality to sight packet drop attacks staged by consecutive malicious nodes, forwarding the info. We tend to judge the paper technique is each analytically and through empirical observation, and also the results obtained exploitation this paper theme proves to be effective in police investigation forgery and packet loss in multiple consecutive malicious device nodes.
Power Draining Vampires in Wireless Ad hoc networks: Detection and Prevention

Ad-hoc low-power wireless networks are the most promising research direction in sensing and pervasive computing. Prior security work in this area has focused primarily on denial of service at the routing or medium access control levels. Earlier, the resource depletion attacks are considered only as a routing problem, very recently these are classified in to a new group called vampire attacks. This thesis work explores the identification of resource depletion attacks at the routing protocol layer and in the application layer, which permanently disable networks by quickly draining nodes’ battery power. These Vampire attacks are not specific to a particular protocol, but rather rely on the properties of many popular classes of routing protocols. It is clear that all examined protocols are susceptible to Vampire attacks, which are devastating, difficult to detect, and are easy to carry out using as few as one malicious insider sending only protocol compliant messages. In the worst case, a single Vampire can increase network-wide energy usage by a factor of O(N), where N in the number of network nodes. In this work a detection and control strategy is proposed for these vampire attacks, along with a secure packet forwarding mechanism, which will save Ad-hoc wireless nodes from power drainage due to vampire packets.
APPLICATION OF BACILLUS SPECIES CULTURED ON DIFFERENT LOW COST ORGANIC SUBSTRATES FOR THE CONTROL OF ROOT-KNOT NEMATODE INFECTION ON OKRA (ABELMOSCHUS ESCULENTUS MOENCH)

Low cost organic substrates such as rice grain, chickpea, wheat grains, rice husk, chickpea husk and wheat bran were used to culture Bacillus subtilis and B. firmus. Vegetative cell counts of both bacterial species generally increased on majority of substrates in initial 5 days and declined in subsequent incubation. Spore counts also increased with time but declined at 10 day. Bacterial species cultured on various substrates were inoculated in soil before sowing of okra in a pot culture experiment. The growth of okra plants was significantly increased in all substrates except chickpea husk, as compared to control. Root-knot nematode infection severity was measured in term of galls/ root system and egg masses/ root system. Both bacterial species showed varying effectiveness when grown on different organic substrates, but they controlled root-knot nematodes infection in okra in comparison to the control.
Remote sensing of water-column primary production

Satellite observations of ocean colour at selected wavelengths have made it possible to map near-surface distribution of phytoplankton pigments at the global scale. While the advantage of remote sensing in providing synoptic coverage of large-scale surface features is incontestable, the estimation of primary production from these data requires additional information inaccessible to present-day satellite remote sensing, such as the parameters for conversion of biomass to growth rates, and the parameters describing the vertical structure of biomass. The value of remote sensing would therefore be enhanced considerably if the satellite data could be combined with in situ data to provide the missing information. Since satellite and in situ data are collected at very different time and space scales, conceptual schemes are necessary to render the two data sets compatible. The idea of bio-geochemical provinces has proved to be very useful in this context. Both empirical and analytic approaches have been used to address the problem of estimating primary production from satellite-derived biomass estimates. The various analytic models that have been proposed can be classified according to their level of complexity. In any application, a suitable model has to be selected, based on: (1) validity of the model assumptions in the particular context, (2) computational requirements, (3) availability of auxiliary data, and (4) acceptable levels of error.
Effects of diet substitution with defatted kernels of mango (Mangifera indica) and wild mango varieties (Irvingia gabonensis and Irvingia wombolu) on weight and plasma lipid profile of Wistar rats

Effects of defatted mango (Mangifera indica) and wild mango (Irvingia gabonensis, Irvingia wombolu) kernels in substituted diets of commercial feed, on weight and plasma lipid profile were analysed using Wistar rats after 21-day feeding. Lipid profiling was conducted using enzymatic/colorimetric techniques. The substitution with each kernel type in the commercial feed was 0, 25, 50, 75 and 100%. Diet substitution of up to 75% inversely correlated with weight gained (P<0.05). Up to 50% diet substitution was over 93% acceptable for consumption by the animals. Lipid profile analysis indicated that total cholesterol (TC) and low density lipoprotein (LDL) decreased with increasing diet substitution. The reverse was observed with HDL. TG increased up to 50% defatted M. indica kernel (DMIK) substitution and 25% defatted I. gabonensis kernel (DIGK)/defatted I. wombolu kernel (DIWK) but decreased thereafter. LDL/Cholesterol degradation could have increased TG level and possibly inhibited at higher diet substitutions due to increased residual polyphenolic substances present in the kernel samples. These variables also significantly improved the lipid profile status of the experimental animals (P<0.05). Key words: Lipid profile, Mangifera indica, Irvingia gabonensis, Irvingia wombolu, cholesterol.
WE (MIGHT) WANT YOU: EXPECTATIONS OF VETERANS’ GENERAL COMPETENCE AND LEADERSHIP

This experimental study tested competency expectations and perceptions of leadership ability for United States military veterans compared to non-veterans. Military veterans in the United States are recruited into MBA and leadership programs but may face additional challenges seeking employment. Individuals may not expect veterans to perform better in work situations than others but may view their military service as linked to leadership ability. Surprisingly, results show significantly lower influence over participants for veterans on a cognitive ability task. As predicted, veterans’ influence increased significantly when instructions tied performance to leadership ability.
Behavior Based Anomaly Detection Technique to Mitigate the Routing Misbehavior in MANET

Mobile ad hoc network does not have traffic concentration points such as gateway or access points which perform behavior monitoring of individual nodes. Therefore, maintaining the network function for normal nodes when other nodes do not route and forward correctly is a big challenge. This paper, address the behavior based anomaly detection technique inspired by the biological immune system to enhance the performance of MANET to operate despite the presence of misbehaving nodes. Due to its reliance on overhearing, the existing watchdog technique may fail to detect misbehavior or raise false alarms in the presence of ambiguous collisions, receiver collisions, and limited transmission power. Our proposed scheme uses intelligent machine learning techniques that learns and detects each node by false alarm and negative selection approach. We consider DSR, AODV and DSDV [1] as underlying routing protocol which are highly vulnerable to routing misbehavior. Analytical and simulation results are presented to evaluate the performance of the proposed scheme.
An Impurity in Tenofovir Disoproxil Fumarate Exhibits Organic Anion Transporter 1 Dependent Cytotoxicity

a The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People’s Republic of China; b Zhejiang Institute for Food and Drug Control, Hangzhou, 310004, People’s Republic of China; c Laboratory of Pharmaceutical Analysis and Drug Metabolism, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, People’s Republic of China
FDI, Structural Change and Productivity Growth: Global Supply Chains at Work in Central and Eastern European Countries

This paper empirically accounts for the importance of the 'global supply chains' concept for export restructuring and productivity growth in Central and Eastern European Countries (CEECs) in the period 1995-2007. Using industry-level data and accounting for technology intensity, we show that FDI has significantly contributed to export restructuring in the CEECs. The effects of FDI are, however, heterogenous across countries. While more advanced core CEECs succeeded in boosting exports in higher-end technology industries, non-core CEECs stuck with export specialization in lower-end technology industries. This suggests that where FDI flows have been directed is of key importance. Our results show that export restructuring and economic specialization brought about by FDI during the last two decades in the CEECs might matter a lot for their potential for long-run productivity growth. Industries of higher-end technology intensity have experienced substantially higher productivity growth and so have countries more successful in attracting FDI to these industries.
Teacher Performance in the Perspective of Teacher Leadership and Competence

This study aims to analyze the influence of teacher leadership and competence on teacher performance. The population in this study was 62 teachers at PENABUR Harapan Indah Christian High School. The sampling method uses a saturated sample that is using the entire teacher population of 62 people. Data collection methods using survey methods, the research instrument is a questionnaire. In this research independent (X1) is Leadership and (X2) is Teacher Competence, the dependent variable (Y) is Teacher Performance. Research results obtained after testing the Hypothesis Test Model show that leadership has a positive and not significant effect on teacher performance. Whereas teacher competence has a positive and significant effect on teacher performance at PENABUR Harapan Indah Christian Senior High School.
Establishing the diagnostic accuracy of radiographer chest x-ray reports and their influence on clinicians’ clinical reasoning: A comparison with consultant radiologists

Review of literature and identification of current knowledge gaps Government targets, person-centred care, developing technology and an aging population have resulted in an unprecedented rise in imaging workload (1-4). In response to these increasing demands trained radiographers now undertake image interpretation (5,6). There is limited high quality research underpinning the benefit of many radiological investigations despite the considerable cost burden that many of these procedures bear (7). It is also not clear whether a CR or RR-derived report influences clinical decisions.
International Entrepreneurship in Small Economies : Analysis of Internationalization Dynamics

In recent years the literature on international business has started to use frameworks and concepts from the entrepreneurship literature to have a better understanding of how businesses conduct their internationalization process. However, most literature has focused its efforts in research on multinational firms in more developed. This has generated significant gaps about emerging economies such as Latin-America where SMEs play a key role on the emerging markets economic growth. This study is focused on the initial stage of the internationalization process of a sample of small South American countries SMEs. The aim is to understand how location affects the different dimensions of internationalization process. A growing body of empirical evidence has illustrated that industry and institution-level factors have significant effects on internationalization. However, we still know very little of the effect of SMEs’ country location for their internationalization process in the emerging markets context. Results supported our hypotheses about the influence of location on the dimension of scope, an under-research area of the international entrepreneurship literature. We invite scholars to further research about industry and institution-level effects in the internationalization process in Latin-America.