Miracle-dz/UniFAR-FTUs huggingface dataset:
Pyroelectrically Generated Very Low Dose Ionizing Radiation Enhances chemopreventive and Chemotherapeutic Effects of Genistein Isoflavone in Human Prostate Cancer Cells

An estimated 233,000 American men will be diagnosed with new cases of prostate cancer with 29,480 men expected to die from the disease in 2014. These statistics will regrettably add to the burden of about 2,617,682 men currently living with the disease in the United States. The development of resistance by cancer cells to radiation and chemotherapy has limited the efficacy of the current therapeutic interventions, thereby informing the need for a novel effective and safer alternative therapeutic regimen. In this study, we exploited the role of low dose Hyperradiosensitivity (LDHRS) in enhancing the chemopreventive and chemotherapeutic effects of Genistein by pretreatment exposure to very low dose ionizing radiation (VLDR, 20mGy/hr) using a Pyroelectrically generated X-ray source (non-radioactive) in two human prostate cancer cell lines in vitro. The presence of HRS was assessed using the MTT assay. Treatment-induced intracellular levels of ROS and SOD were assessed using Nitro blue tetrazolium assay. Adaptive response mediated by VLDR following delayed drug treatments was also investigated and found to be both time-dependent and dose-dependent in LNCaP cell line. LNCaP cells were found to be slightly more radiosensitive compared to PC3 cells after exposure to 20mGy/hr VLDR. Both cell lines were found to induce some form of HRS. VLDR alone or in combination with a low dose of Genistein (10µM) was found to proffer the highest treatment induced chemoprevention by elevating the levels of cellular anti-oxidant enzymes (SOD). High doses of Genistein increased intracellular levels of ROS and growth inhibition, thereby, favoring the chemotherapeutic effects of Genistein. In all treatment groups, apoptosis tends to be the most common mechanism of cell death. These findings indicate that chemo enhancement by VLDR can be associated with modulation of the percentage cell survival rate (CSR), apoptosis, HRS, and SOD or ROS levels in prostate cancer cells.
A Study on Casualty Profile Using Logistics Regression

The environment faced by today’s servicemen is characterized by continual deployments to combat zones, where troops are exposed to the risks of the battlefield. Casualty, whether to combatants or noncombatants, is an unavoidable reality of war. Although the primary goal of combat is to defeat the enemy, keeping casualties down is important as well. Low numbers of injured or killed soldiers not only maintain the ranks of service members, but also have an incredible effect on morale. The purpose of this study is to create a profile of U.S. Army troops killed or injured due to hostile incidents in Afghanistan and Iraq between 2003 and 2011. The analysis of study my help decision makers to see profile that is most vulnerable to casualty. The first part of our study analyzes the descriptive statistical results and the second part contains the results of multivariate analysis of the casualty status of servicemen of the U.S. Army. As a conclusion for our multivariate model, an actual-duty person who is female, married, serving in the reserve forces, serving in a combat troop, between pay grades E1–E3, serving in Iraq, serving the first deployment is the serviceman with most potential to get injured or killed in the U.S. Army.
Tracking Cross-Disciplinary Information Use by Author Affiliation: Demonstration of a Method

In this paper, we report the results of a bibliometric study in which we track cross-disciplinary citation behavior in the sciences. We hypothesize that cross-disciplinary citation in the sciences increased over the time period 1985–2000. Unlike most previous studies in this area, we assign discipline to a paper by its first author’s affiliation, and we hypothesize that assigning papers to disciplines based on first-author affiliation would yield results consistent with previous findings on cross-disciplinary citation rates in the sciences. Using the output of scientists in Biological Sciences, Chemistry, and Physics departments at 12 large research universities in 1985, 1990, 1995, and 2000 as our data set, we measure the cross-disciplinary citation rates of each discipline and compare our results to the findings of previous studies in this area.
How Does Day-to-Day Variability in Psychophysiological Data Affect Classifier Accuracy?

Combined psychophysiological measures have been used to determine mental workload in operators, but the day-to-day reliability of these measures has not been determined. Data were collected four times over a one month period. Two classifiers were trained with these data and their ability to correctly discriminate between two levels of task difficulty with new data was tested. Both classifiers very accurately discriminated between the two levels of task difficulty using data collected on the same day as the training data. However, the accuracy was considerably reduced when tested on data from days different from the training data. The implications for application of these procedures are discussed.
AN EFFICIENT SECURE UNIVERSAL BLOCK SOURCE CODING ALGORITHM FOR INTEGERS

In this paper we present a new universal algorithm to encode the sources totally and without loss, the alphabet of output symbols is supposed the source of integer. This algorithm provides the security of system and performs the affairs of coding without using of sources statistics. Here we show that the average length of the dedicated code words is shorter than when the sequence output numbers are encoded one by one or block by block and also our presented method gives a kind of security to the system because we use some of encoding characteristic as the encryption key.
A survey on the visualization and reconstruction of vasculatures

Visualization and reconstruction of blood vessel from standard medical datasets play an important role in many clinical situations. This paper presents a survey on the visualization and reconstruction of vascular structures. Firstly, the visualization techniques of vasculatures are introduced, which includes volume rendering and surface rendering of vasculatures. Then, we focus on the reconstruction techniques of vascular structures, which can be classified into two categories: explicit reconstruction and implicit reconstruction of vascular structures. With reconstructed vascular geometry, it is quite easy to produce smooth visualization of vessel surfaces. In addition, finding the accurate geometric representation of vascular structures is crucial in developing computer aided vascular surgery systems.
T-Voks: the Singing and Speaking Theremin

T-Voks is an augmented theremin that controls Voks, a per-formative singing synthesizer. Originally developed for control with a graphic tablet interface, Voks allows for real-time pitch and time scaling, vocal effort modification and syllable sequencing for pre-recorded voice utterances. For T-Voks the theremin's frequency antenna modifies the output pitch of the target utterance while the amplitude antenna controls not only volume as usual but also voice quality and vocal effort. Syllabic sequencing is handled by an additional pressure sensor attached to the player's volume-control hand. This paper presents the system architecture of T-Voks, the preparation procedure for a song, playing gestures, and practice techniques, along with musical and poetic examples across four different languages and styles.
Environmental Regulation , Investment Timing , and Technology Choice by Wayne

We test several hypotheses related to technology choice in the paper industry and the investment decision for existing plants, based on conversations with people and visits to paper mills. Our analysis uses technology choice data for 686 paper mills and annual investment data for 116 mills. Technology choice is influenced by environmental regulation. New mills in states with strict environmental regulations tend not to employ more polluting technologies involving pulping. Differences between air and water pollution regulations also emerge, with the dirtiest technology in each medium avoiding states with the strictest regulations. The impacts are sizable: a one standard deviation increase in stringency is associated with several percentage point reductions in the probability of choosing a dirty technology. State regulatory stringency and plant technology have little or no effect on annual investment spending at existing plants. However, pollution abatement investment is significantly related to productive (non-abatement) investment. Plants with high abatement investment spend less on productive capital. The magnitude of the impact corresponds to nearly complete crowding out of productive investment by abatement investment. Examining investment timing, we find that abatement and productive investment occurs in the same years, consistent with the high cost of shutting down a paper mill for renovations. Wayne B. Gray Ronald J. Shadbegian Department of Economics Department of Economics Clark University University of Massachusetts, Dartmouth Worcester, MA 01610 North Dartmouth, MA 02747
Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies

Enterprise Resource Planning (ERP) systems are popular as an IT enabled tool, which integrates different functional areas of business. ERP systems are implemented as a total business solution that supports major functionalities of business. However, many of the implementations are not success stories. Most post implementation problems are due to the inappropriate selection of systems. This paper describes multi-criteria decision model using Analytic Hierarchy Process for the selection of ERP systems for manufacturing companies. First, ERP evaluation criteria are developed by using past literature and through a questionnaire distributed among Sri Lankan manufacturing companies. Seven major criteria are identified and under each criterion several sub-criteria are identified. Selection of the best suited ERP system leads to a multi-criteria decision making problem as ERP systems should be evaluated based upon many criteria. Using the identified main and sub criteria, an Analytic Hierarchy Process (AHP) model is developed for ranking the ERP software. An example of a case is presented to show the actual implementation of AHP model. Expert Choice software is used to solve this AHP model.
Predicting Student Teacher Commitment to the Use of Computers

This study explored the effectiveness of computer attitudes, computer literacy, computer locus of control, and gender in predicting commitment to the use of computers. Three hundred and eighty-three education students, completed a survey about commitment to the use of computers (actual use, interest, and promotion), computer attitudes (affective and cognitive), computer literacy (experience, basic skills, application software, awareness, programming), and locus of control (specific to the use of computers). The results indicated that cognitive attitude, awareness, and application software ability were the best predictors of commitment to the use of computers. Less effective, but significant predictors, included affective attitude, locus of control and gender.
Radar backscatter change from an ash in relation to its hydrological properties

A ground-based X-band radar was directed almost horizontally into the top of a mature ash during 5 months. The aim was to relate radar backscatter to hydrologic properties of leaves. The results show that: (1) Due to the retention of rain on the surface of leaves, the backscatter increased temporarily during and after showers. (2) The backscatter decreased the first days after a shower. This decrease is attributed to depletion of internal water-storage tissues. (3) The backscatter increases towards the end of the season. This trend is related to a decreased transpiration rate and increased water content of leaves.
Time Aware Query Expansion over Text Archives

In this research we consider text documents and address the issue of time aware query expansion. When text documents are archived, the terminology in them could undergo signficant changes over time. Thus, when a user query is expanded, it should be intelligent enough to incorporate this evolving terminology. For example, a query should be able to take into account the fact that the terms Beijing and Peking refer to the same concept at different time periods. Besides places, this logic also applies to other terms such as names that may vary over time, e.g., Mother Teresa whose birth name was Anjeze Gonxhe Bojaxhiu. Our goal is to automatically infer the congruence between such semantically identical concepts in text corpora while responding to user queries. In order to address this, we propose a solution approach that is inspired by classical concepts in association rule mining. We present herewith our problem definition, motivating examples, proposed approach, details of methodology, experimental plan and related work. To the best of our knowleddge, ours is among the first works to conduct research in the area of time aware query expansion to incorporate terminology evolution, and our solution based on association rule mining is rather unique.
Bargained Wages in Decentralized Wage-Setting Regimes – work in progress –

Collective wage agreements still play an important role in the German wage bargaining system. However, there is a critical debate in Germany whether collective agreements allow the firms enough flexibility to adjust to the needs of international competition and technological change. In recent years, the social partners in some industries answered this possible lack of flexibility by introducing so called opening clauses into the collective agreements. These allow the firms to deviate from the agreement under certain circumstances. The aim of this paper is to empirically analyse the prevalence of opening clauses in the German manufacturing sector and their impact on the wage level. To provide a basis for the empirical analyses, we have conducted a survey on the existence and intensity of opening clauses in existing central collective agreements. Thereby, our sectoral data about opening clauses are combined with those from the Salary and Wage Structure Survey 1995 and 2001, a linked-employer-employee-dataset from German official statistics.
Therapeutic Impact of Vitamin C on the Anticancer Activities of Genistein Isoflavone in Radiosensitized Lncap Prostate Cancer Cells

Prostate cancer is the most common non-cutaneous cancer and the second cause of cancer-related deaths in men in United State of America. An estimated 220,800 new cases and 27,540 cancer-related deaths are expected in the year 2015. Significant achievements in cancer treatment have been accomplished due to aggressive pursuit in therapeutic research. However, although the locally confined disease is treatable, the metastasized prostate cancer still poses therapeutic challenges; and consequently prognosis still remains poor. Inevitably, continuous research for efficacious therapy has been the focus of attention in recent times. In this study, the impact of vitamin C supplementation on the anticancer activities of genistein isoflavone in radio-sensitized LNCaP prostate cancer cells was investigated. The cells were first radio-sensitized with very low dose ionizing radiation (VLDR, 20mGy/hr), using a pyroelectrically generated X-ray source (non-radioactive) and analyzed using: i) MTT tetrazolium assay to determine the chemosensitivity of the radiosensitized LNCaP cells to the various treatments;
Advanced ART2 scheme for enhancing metrology-data-quality evaluation

The metrology-data-quality-index (DQIy) algorithm was proposed to perform metrology-data-quality evaluation of the automatic virtual metrology system developed by the authors. The DQIy algorithm is based on the adaptive-resonance-theory 2 (ART2). ART2 divides data into different patterns according to the similarity of process data, and then calculates the corresponding DQIy value and its threshold, DQIyT, for evaluation and judgment. However, in practical applications, the classical ART2 technique still could not cluster process data very precisely. Since some samples with dissimilar process parameters might be sorted into the same cluster, two or more groups could be found in the corresponding metrology-data cluster. This phenomenon may cause invalid DQIy detection. To solve the problem above, the advanced ART2 scheme is proposed in this paper to enhance the accuracy of the DQIy algorithm. A large industrial data-set showing both a shift in metrology measurements without a process shift and a process shift that was not captured by the metrology of the actual photo and color-filter production tools of a TFT-LCD factory were adopted as illustrative examples to verify the practicality of the proposed scheme. Experimental results show that the performance of the advanced ART2 is indeed better than that of the original ART2.
Practical Considerations for MIDI over Bluetooth Low Energy as a Wireless Interface

This paper documents the key issues of performance and compatibility working with Musical Instrument Digital Interface (MIDI) over Bluetooth Low Energy (BLE) as a wireless interface for sensor or controller data and inter-module communication in the context of building interactive digital systems. An overview of BLE MIDI is presented along with a comparison of the protocol from the perspective of theoretical limits and interoperability, showing its widespread compatibility across platforms compared with other alternatives. Then we perform three complementary tests on BLE MIDI and alternative interfaces using prototype and commercial devices, showing that BLE MIDI has comparable performance with the tested WiFi implementations, with end-to-end (sensor input to audio output) latencies of under 10ms under certain conditions. Overall, BLE MIDI is a viable solution for controllers and sensor interfaces that are designed to work on a wide variety of platforms.
Open Access Literature Review 2008-9: A Serials Perspective

Stemming from a previously published serials literature review by Library Resources and Technical Services (LRTS), this paper provides a review of a subset of the serials literature published in 2008 and 2009 focusing on open access (OA). The broader scope of the serials literature sets the stage for a culture of openness receptive to the OA movement. Catalysts to this movement, such as the National Institutes of Health (NIH) mandate, university OA policies, and increased emphasis on self-archiving in institutional repositories (IRs), are of interest to serials and electronic resource professionals who steward academic research collections. This interest is exemplified by the significant number of open-access-related articles intertwined throughout the serials literature of 2008 and 2009. Topics covered in this article include the NIH mandate, universities’ responses to the NIH mandate, overviews of OA, the IR as a model of OA, strategies for supporting IRs, and evaluation of the effects of OA on scholarly communication.
A new segmentation approach using Gaussian color model and temporal information

A new segmentation approach usable for fixed or motion compensated camera is described. Instead of the often used RGB color space we operate with the invariant Gaussian color model proposed by Geusebroek and temporal information which eliminates unsteady regions surrounded by the moving objects. The Gaussian color model has never been used in video segmentation. Comparison with some state of the art methods in which both subjective and objective evaluation are applied proof the good performance of the proposed method.
Cloud Computing Application in Medical Education

With the development of information technology, cloud computing is growing rapidly in many area, including education. The school or the teacher can use the cloud computing provide education, realize the sharing of curriculum resoures.The cloud platform to build personalized information teaching environment, can effectively support the teachers’ teaching and students’ active learning and promote the development of students’ thinking ability and wisdom, improve the quality of education and teaching. This paper discusses the current development of education services, the concept of cloud computing and the use of cloud computing in the education, and puts forward a online education service framework based on cloud computing.Finally,the application of the framework are briefly described.
Design techniques for high-performance, energy-efficient control logic

This paper investigates delay, power and area of critical components in designing energy-efficient control logic. To improve performance and energy efficiency, a split-slave dual-path (SSDP) register is proposed which improves the energy efficiency of the prior art by 30%. For multiplexers (MUX) three MUXes are proposed and compared to existing solutions. The proposed MUXes improve performance by 50% or power by 22%. The impact of scaling supply voltage alone and scaling threshold voltage with supply voltage on delay and power is also examined.
POLARIMETRIC CALIBRATION AND DECOMPOSITON BASED ON PARTICLE SWARM OPTIMIZATOIN PI No 318

The polarimetric calibration method and polarimetric decomposition technique using a particle swarm optimization (PSO) are discussed in this report. Recently the polarimetric data analysis techniques are being developed for terrain classification, forest biomass and soil moisture estimations, etc. Thus, polarimetric calibration becomes an important issue for accurate polarimetric analysis[1]-[3]. I propose new polarimetric calibration method based on a particle swarm optimization. This proposed calibration method can estimate cross-talks, channel imbalances and Faraday rotation angle using one trihedral corner reflector and the measured polarimetric SAR data with non-reflection symmetry property. Next, this report deals with a polarimetric decomposition [5][6] considering azimuth rotation. Polarimetric data in urban and mountain areas are affected by azimuth rotation. Thus, the decomposition results derived by same targets with different azimuth rotation angle are different. Some researchers examined to compensate this rotation by mathematical inverse azimuth rotation. I examine that the differences of covariance matrix before and after the compensation are used to estimate the contributions of three decomposition components. In the following sections, proposed polarimetric calibration and decomposition techniques are explained and some numerical results are discussed.
Shadowed Contours with Computer and Plotter

In an algorithm for the automated drawing of “shadowed contours,” the surface contours used as data are assumed to have been cut into plates from which a three-dimensional step-model of the terrain can be constructed. A computer program named SHADCON assumes an oblique illumination of the step-model and draws the shadows thrown by the vertical walls of each plate on the roof of the next lower plate. The direction of the light and the thickness of the plates can be varied.