Miracle-dz/UniFAR-FTUs huggingface dataset:
THE USE OF ENDOSCOPIC ULTRASONOGRAPHY IN THE DIAGNOSIS OF THE CAUSE OF COMMON BILE DUCT DILATION

Background. Ultrasonography (US) does not come up to the expectations in the diagnosis of the causes of com− mon bile duct (CBD) dilation. Objectives. An assessment of the usefulness of endoscopic ultrasonography (EUS) in the diagnosis of the causes of CBD dilation. Material and Methods. The authors examined 30 persons (16 females and 14 males) with CBD dilated > 7 mm in US. In these patients the authors performed EUS with the usage of Pentax FG−38UX echoendoscope of 5–10 MHz frequency connected with EUB 6000 Hitachi ultrasonograph looking for the cause of CBD dilation. Findings gathered were verified with the usage of endoscopic retrograde cholangiopancreatography (ERCP) or magnetic res− onance cholangiopancreatography (MRCP). Results. In 16 patients the authors found stones in CBD. In ERCP or MRCP the frequency of CBD stones was a bit higher. In these examinations CBD stones were found in 18 patients. The authors found out that pancreatic head carcinoma was the cause of CBD dilation in 8 patients; in 2 patients the authors diagnosed ampullary carcinoma and in 1 patient – carcinoma of distal part of CBD. In 1 patient the authors pointed out a benign stricture of CBD with dilation above the stricture. Conclusions. EUS is a useful diagnosing method of the causes of CBD dilation (Adv Clin Exp Med 2006, 15, 2, 293–295).
Zinc oxide integrated area efficient high output low power wavy channel thin film transistor

We report an atomic layer deposition based zinc oxide channel material integrated thin film transistor using wavy channel architecture allowing expansion of the transistor width in the vertical direction using the fin type features. The experimental devices show area efficiency, higher normalized output current, and relatively lower power consumption compared to the planar architecture. This performance gain is attributed to the increased device width and an enhanced applied electric field due to the architecture when compared to a back gated planar device with the same process conditions.
MODELLING AND SIMULATION OF HYBRID RENEWABLE ENERGY SOURCES CONNECTED TO UTILITY GRID

The proposed system presents power-control strategies of a grid-connected hybrid generation system with versatile power transfer. This hybrid energy system allows maximum utilization of freely available renewable energy sources like wind and photovoltaic energies. For this, an adaptive MPPT algorithm will be used for the system. Also, this configuration allows the two sources to supply the load separately or simultaneously depending on the availability of the energy sources. The turbine rotor speed is the main determinant of mechanical output from wind energy and Solar cell operating voltage in the case of output power from solar energy. Permanent Magnet Synchronous Generator is coupled with wind turbine for attaining wind energy conversion system. The inverter converts the DC output from non-conventional energy into useful AC power for the connected load. This hybrid energy system operates under normal conditions which include normal room temperature in the case of solar energy and normal wind speed at plain area in the case of wind energy. The simulation results are presented to illustrate the operating principle, feasibility and reliability of this proposed system.
Elucidating Transposable Elements Survival Mechanisms: Invasion and Evasion by Tc1/mariner Superfamily DNA Transposons

Transposable elements are mobile DNA elements residing in almost all sequenced genomes. However, the kingdom Plantae has not previously been reported to harbor Tc1-like elements (TLEs). This study reports the characterization of several plant TLEs. It was proposed that the wide distribution of transposons may be partly due to horizontal transmissions, and some cases of highly similar TLEs from distantly related species were found in this study. Once a transposon invades a new genome, it may freely amplify. Being mutagenic in nature, they are under constant scrutiny of host inhibitory mechanisms that often keep transposition activity at a basal level. A potential evasive mechanism by a rice Mariner-like element is described here to auto-regulate activity via a subterminal transposase binding motif.
Video Forensic Framework for VideoForgeries

With rapidly growing technology, Video became most important weapon in the fight to against people who break the law by capturing them red handed. Evidence captured on video is considered to be more reliable, more accurate and more convincing than eyewitness testimony alone. But due to growth in multimedia editing software Digital Photographs and videos can be no longer considered ? proof of evidence? Evidence can be easily tempered using software. So we propose a new forensic framework, Forensic framework for Video Forgeries capable of video Steganalysis and detection of tampering in digital video without any specialized hardware. Framework can be used for the forensic of videos using enhanced forensic techniques and also used to detect any hidden data in the video. The objective of the framework is to provide the easy and handy Video Forensic Framework to forensic community for validation of evidence before presenting it to court for law enforcement
Eloa Beside Vampire Attacks In Wireless Sensor Networks

: Wireless Sensor Networks in today’s world are the basic means of communication. An ad hoc network is a group of wireless nodes, in which each node can communicate over multihop paths to any other node without the help of any preexisting infrastructure such as base station or access points. Owing to these feature ad hoc low power wireless networks are capable of sensory and pervasive computing which forms the wireless ad hoc sensor network. The limitations of system are resources like battery power, communication range and processing capabilities. One of the major challenges in Wireless Sensor Networks is the security concerns. The attacks affecting these systems are increasing as they progress. One of the resource depletion attacks called vampire attacks are the major concern. They not only affect a single node but they bring down the entire system draining the power i.e. Battery power. In this paper, the system proposed overcomes this challenge by using the Energy load observing Algorithm (ELOA) and the energy consumption is reduced to a great-extend.
Experimentally validated numerical model of coupled flow, thermal and electromagnetic problem in small power electric motor

This paper describes results of the mathematical modelling of the steady-state thermal phenomena taking place in a Fracmo 240 W DC electric motor. The model of the motor was defined in the ANSYS Fluent software to predict flow and temperature fields inside the machine. The thermal model was coupled with an electromagnetic solver to determine power losses occurring in different parts of the unit. In order to validate the proposed numerical model, a test rig was set up to measure temperatures at points located inside the motor housing and on its external wall. Additionally, the temperature field was captured by an infrared camera. The results obtained from the coupled analysis are comparable with the measurement data.
VALIDATION OF POINT CLOUDS SEGMENTATION ALGORITHMS THROUGH THEIR APPLICATION TO SEVERAL CASE STUDIES FOR INDOOR BUILDING MODELLING

Abstract. Laser scanners are widely used for the modelling of existing buildings and particularly in the creation process of as-built BIM (Building Information Modelling). However, the generation of as-built BIM from point clouds involves mainly manual steps and it is consequently time consuming and error-prone. Along the path to automation, a three steps segmentation approach has been developed. This approach is composed of two phases: a segmentation into sub-spaces namely floors and rooms and a plane segmentation combined with the identification of building elements. In order to assess and validate the developed approach, different case studies are considered. Indeed, it is essential to apply algorithms to several datasets and not to develop algorithms with a unique dataset which could influence the development with its particularities. Indoor point clouds of different types of buildings will be used as input for the developed algorithms, going from an individual house of almost one hundred square meters to larger buildings of several thousand square meters. Datasets provide various space configurations and present numerous different occluding objects as for example desks, computer equipments, home furnishings and even wine barrels. For each dataset, the results will be illustrated. The analysis of the results will provide an insight into the transferability of the developed approach for the indoor modelling of several types of buildings.
A Study on Process Description Method for DFM Using Ontology

A method to describe process and knowledge based on RDF which is an ontology description language and IDEF0 which is a formal process description format is proposed. Once knowledge of experienced engineers is embedded into the system the knowledge will be lost in the future. A production process is described in a proposed format similar to BOM and the process can be retrieved as a flow diagram to make the engineers to understand the product and process. Proposed method is applied to a simple production process of common sub-assembly of ships for evaluation.
Thermodynamic Volume in AdS/CFT

In this note, we study on extended thermodynamics of AdS black holes by varying cosmological constant. We found and discussed pressure and volume of both bulk and boundary physics through AdS/CFT correspondence. In particular, we derive the relation between thermodynamic volume and a chemical potential for M2 brane dual to four dimensional AdS space. In addition, we show that thermodynamic volume of hyperbolic black hole is related to ‘entanglement pressure’ coming from a generalized first law of entanglement entropy.
Monte Carlo Modeling of Electron Transport and Capture Processes in AlGaAs/GaAs Multiple Quantum Well Infrared Photodetectors

The results of an ensemble Monte Carlo (MC) particle modeling of vertical electron transport and capture processes in AlGaAs/GaAs multiple quantum well infrared photodetectors (QWIPs) are presented. The MC model employed takes into account features of the conduction band structure, the electron scattering parameters, and the interaction (reflection, transmission and capture) of free electrons with the QWs. It is shown that the heating of free electrons and their redistribution over the conduction band valleys under the influence of electric field play an essential role in both the transport processes and the capture into bound states in the QWs. The electron drift velocity and macroscopic capture parameter are calculated as functions of the structural parameters and applied electric field. The capture parameter exhibits a pronounced drop with increasing electric field due to a significant decrease of the fraction of electrons with energies less than the optical phonon energy.
Real Estate Portfolio Construction and Estimation Risk A Paper presented at the 7 th European Real Estate Society Conference , Bordeaux , France , 14-17 June 2000

The use of MPT in the construction real estate portfolios has two serious limitations when used in an ex-ante framework: (1) the intertemporal instability of the portfolio weights and (2) the sharp deterioration in performance of the optimal portfolios outside the sample period used to estimate asset mean returns. Both problems can be traced to wide fluctuations in sample means Jorion (1985). Thus the use of a procedure that ignores the estimation risk due to the uncertain in mean returns is likely to produce sub-optimal results in subsequent periods. This suggests that the consideration of the issue of estimation risk is crucial in the use of MPT in developing a successful real estate portfolio strategy. Therefore, following Eun & Resnick (1988), this study extends previous ex-ante based studies by evaluating optimal portfolio allocations in subsequent test periods by using methods that have been proposed to reduce the effect of measurement error on optimal portfolio allocations. † Department of Land Management and Development, Faculty of Urban and Regional Studies, The University of Reading, Reading RG6 6AW, England. Phone: +44 118 931 6338, Fax: +44 118 931 8172, E-mail: S.L. Lee@reading.ac. uk ‡ Department of Banking & Finance, Graduate School of Business, University College Dublin, Blackrock, Co Dublin, Ireland. Phone: +353 1 706 8825, Fax: +353 1 283 5482, E-mail: simon.stevenson@ucd.ie
A study on organizational climate among employees in Neycr India limited, Vadalore

The study found that there is no significant difference towards organizational climate with respect to demographic variables. The study also found that employees perceived moderate level of organizational climate in Neycr India limited. The study highlighted that there is influence of organizational climate on organizational performance. It is recommended that the special attention to be given to improve dyadic and group relation which can be obtained through joint goal setting, selfappraisal, team building exercises, incentives etc., by the in Neycr India limited. It is concluded that Neycr India limited needs to focus on HRD system and improve the climate in order to obtain effective efficient people for sustenance and growth in the competitive era.
On the Dimers Stability of Allicin and Its Derivatives Interacting with AT, GC, and DNA Bridge: DFT Study

Allicin and its derivatives are physiologically active molecules with many potential health benefits. It is not clear if they have a direct effect on DNA or protein. In order to elucidate the allicin and its derivatives’ effect on DNA base pairs, we investigated various complexes of base pair and its bridge with an allicin and its derivatives. The investigated allicin derivatives were (E)-Ajoene, (Z)-Ajoene, Amz121, and Bmz73 radicals. The DFT calculation results revealed that the investigated molecules would favor binding to bridge of the base pairs instead of directly affecting the base pairs. The Bmz73 radical could break DNA by change bonding in it because the Bmz73 radical significantly affected the P-O bond of the bridge of base pair.
Phytochemical composition, antioxidant capacity and ACE-inhibitory activity of China-grown radish seeds

The seeds of nine China-grown radish cultivars were analyzed for their phytochemical composition, antioxidant properties and ACE-inhibitory activity. Radish seeds contained 36.87–43.06% (w/w) oils, whereas 64.55–69.26% of the fatty acids were monounsaturated and 20.33–25.11% were polyunsaturated. The levels of δ- tocopherol (552.24–670.31 μg/g seed oils) and lutein (4.82–8.95 μg/g seed oils) differed in cultivars. The nine cultivars were varied in total phenolics, flavonoids, and free phenolic acids, but not in proanthocyanidins. Seed extracts of Hybrid #63, Tou Xin Hong, and Hybrid #72 showed stronger DPPH radical scavenging capacity, ORAC, and FRAP than others (p<0.05). The Yanzhi #2 extracts exhibited a strong ACE-inhibitory activity, which was positively correlated with vanillic acid contents (r = 0.890, p = 0.001). It provides evidence on developing value-added utilization of radish seeds or seed fractions such as oil and flour as nutraceuticals or functional food ingredients.
Tree crown structure in a mixed coniferous forest in México

1. Abstract Characterization of tree crown structure provides critical information to assess a variety of ecological conditions for multiple purposes and applications. Approaches to measuring tree crown structure and variability within multiple diameter distributions are particularly important in uneven-aged, multi-species natural stands. Results of using the "Weibull bimodal probability distribution function" to model diameter distributions of stands and crown index measurements to describe tree crown attributes and properties are presented and discussed. Specific patterns of values of these indices were found which suggest they have potential for use as indicators of crown structure complexity and variability across a wide spectrum of forest conditions and types. This research presents the results of indicators for tree crown structure in a mixed forest in Sierra Madre Oriental, Mexico. Diameter, height, basal area and crown parameters of 504 trees were measured. Several crown indexes (crown width index, crown thickness index, crown spread ratio, crown projection area and crown surface area) were used. The variation of these indices is surprisingly high even within the same tree species. Conclusion of this research is that mixed forests present a specific structure, in accordance with its stem parameters, diameter distribution, and crown indices. 2. Background
Nonprofi t America: A Force for Democracy?

Copyright © 2008, Lester M. Salamon Advocacy and civic engagement have long been considered central functions of America’s nonprofi t organizations. Unfortunately, there is limited current data on how recent challenges are affecting nonprofi t engagement in policy advocacy, and how this varies by fi eld, size of agency, or other factors. Moreover, we know very little about what factors affect the willingness of nonprofi t organizations to engage in lobbying and advocacy, or what forms their involvement takes.
REVIEW OF THE VARIABLES THAT PREDICT ACADEMIC PROCRASTINATION OF UNIVERSITY STUDENTS

In this study, variables that predict university student’s academic procrastination were examined. Data were collected via Self-regulation learning skills (SLSS) developed by Turan (2009). Academic self-efficacy scale was developed by Jerusalem and Schwarzer (1981) and was translated into Turkish by Yilmaz, Gurciray and Ekici (2007). Academic procrastination scale was developed by Cakici (2003). Demographic data were collected by personal information form prepared by the researcher. Independent samples t-test, one way ANOVA test, and the hierarchical regression analysis were applied for the purpose of data analysis. The results obtained shows that there are no significant differences between student’s gender type and their academic procrastination, self-regulation, and their academic self-efficacy levels. No significant difference was found in student’s academic procrastination according to their departments. Significant difference was found between Art and Science departments in self-regulation levels according to or in favor of the art department. However, significant difference was found in students’ academic selfefficacy levels between art and music departments in favor of the art department. According to the result of the hierarchical regression analysis strategy used, the assessment sub-scale of self-regulation and academic selfefficacy were found to be the best predictors of academic procrastination.
A Multivariate Time Series Modeling of Major Economic Indicators in Nigeria

One of the key objectives of every good economy, whether or not developing or developed is to achieve a high and sustainable economic growth rate coupled with the economic indicators. The research on the Multivariate Time Series Modeling of Major Economic Indicators in Nigeria, aims at providing quantitative analysis of the dynamics on currency in circulation, exchange rate, external reserve, gross domestic product, money supply and price deflator. This study utilizes secondary data obtained from the Central Bank of Nigeria, Statistical Bulletin (vol. 21: 2010), of all variables investigated in the model. The sample covers quarterly data from 1981 to 2010. The study employed the newly developed multivariate time series estimation technique via Vector Autoregressive modeling to model the economic indicators in Nigeria. The empirical result yields a stable and sustainable economic model for the six economic variables in the study. The Granger causality analysis indicates that there exists unidirectional and bidirectional causality between the economic variables. Gross domestic product and external reserve was seen as a good predictor to other economic indicators. The relationship between these economic indicators is however significantly determined which is positive in either direction. The empirical model provides forecast value for the next two years.
New car owners’ repurchase behaviors on physical damage coverage insurance policies in Taiwan

This paper elucidates the new car owners’ repurchase behaviors on physical damage coverage (PDC)—high-premium non-compulsory auto insurance policies (AIPs) in Taiwan. A Multinomial logit (ML) and two nested logit (NL) modeling structures are attempted. The models are estimated with a five-year dataset of 7,172 insured records extracted from the data bank of a non-life insurance company in Taiwan. The ML estimation results indicate that car owner’s age, vehicle brand and engine capacity are significant factors affecting the new car owners’ repurchase behaviors on PDC policies in the subsequent years. Of the two NL structures, the NL(I) model statistically outperforms the NL(II) model and also statistically rejects the ML model, suggesting that the NL(I) model can best elucidate the car owners’ repurchase behaviors on PDC policies for the subsequent years. The empirical results provide useful implications to the insurance companies and car dealers in developing various strategies for different targeting groups to promote the written volumes of PDC insurance policies. © 2011 APBITM Society.All rights reserved.
Pareto Front for Chemotherapy Schedules

In this paper we consider a multi-objective approach to chemotherapy optimization. We assume that the dynamics of the tumor are modeling for the stochastic Gompertz growth model with a linear cell-loss effect . We consider fuzzy constraints for the problem. The primary objective is to eradicate the tumor (curative treatment) , the second objective of cancer chemotherapy is to prolong the patient survival . time maintaining a reasonable quality of life during the palliation period. Numerical results are presented for a particular case (bladder cancer).
FROM IMAGE CONTOURS TO PIXELS

This paper relates to the reconstruction of digital images using their contour representations. The process involves determining the pixel intensity value which would exist at the intersections of a regular grid using the nodes of randomly spaced contour locations. The reconstruction of digital images from their contour maps may also be used as a tool for image compression. This reconstruction process may provide for more accurate results and improved visual details than existing compressed versions of the same image, while requiring similar memory space for storage and speed of transmission over digital links. For the class of images investigated in this work, the contour approach to image reconstruction and compression requires contour data to be filtered and eliminated from the reconstruction process. Statistical tests which validate the proposed process conclude this paper.