Miracle-dz/UniFAR-FTUs huggingface dataset:
Protection of Doxorubicin-Induced Biochemical Injury in the Rat Bone Marrow by a Dietary Bioflavonoid Naringin

Doxorubicin is a secondary metabolite isolated, from Streptomyces peucetius and has been used as a standard chemotherapeutic agent alone or in conjunction with other chemotherapeutic drugs to treat different types of malignancies. The use of doxorubicin associated with adverse toxic side effect on bone marrow heart, kidneys and liver in patients receiving its therapy Therefore, any agent that can reduce the toxicity of doxorubicin will be useful in clinical conditions. Naringin a dietary flavonoid synthesized by different citrus fruits has been investigated for its protective effect against the doxorubicin-induced biochemical stress in albino rat bone marrow administered with 2 mg/kg body weight of naringin or 5 mg/kg body weight of doxorubicin either alone or in combination with each other. The bone marrow was aspirated at ½, 1 and 2 h post-doxorubicin treatment and activities of glutathione-s-transferase, catalase and superoxide dismutase, and glutathione concentration and lipid peroxidation were measured. Administration of doxorubicin alone caused a time dependent but significant reduction in the activities of catalase and superoxide dismutase and glutathione concentration followed by increased lipid peroxidation at ½, 1 and 2 h post-doxorubicin treatment. The treatment of rats with naringin before doxorubicin administration significantly raised the activities of catalase and glutathione concentration followed by reduction in the lipid peroxidation in the rat bone marrow. Our study shows that naringin attenuated the doxorubicin-induced biochemical stress and may be a useful agent in reducing the toxicity of doxorubicin in patients.
Determining robot grasping-parameters by estimating "Picking Risk"

The momentum for developing home service robots against the background of a declining birthrate and aging society has been increasing in recent years. As there are various kinds of objects in homes, it is difficult for home service robot to pick target objects because they may be surrounded by other unrelated objects. This is because a robot must grasp target objects safely without hitting or breaking them. These objects are "obstacles" for the robot. This paper proposes a method of determining the optimal grasping parameters for robots in such complicated environments where objects are densely located. All objects in an environment in which a robot operates can generally be divided into three types: a target object, obstacles, and the robot hand itself. Therefore, the "risk" of colliding with an object, called the "picking risk" is computed by estimating the relative collision status of these objects. In addition, the optimal parameters can be determined by minimizing the picking risk. We tested and confirmed that the grasping success rate was 82% in experiments that used 47 depth images of daily objects such as cups or spoons.
Applying expectation-maximization evaluation on approximate optimal control

In this paper we proposed an approach of approximating optimal tracking via expectation-maximization (EM) evaluation. From the discussion of applying reinforcement learning (RL) for a system with unknown internal dynamics, we present the challenge of using a classical frame of Q-learning on a tracking task. Further we explained the idea of redefining the cost function (i.e. criterion) of Q-learning to satisfy the requirement for the system dynamic knowledge for the tracking task. We explained the advantages of dividing the original trajectory tracking task into two machine learning subtasks (i.e. learning the quadratic regulator and learning the baseline command generator) on-line. Details are given on the integration of the Q-learning frame and EM algorithm as well as the convergence to the optimum control via iterative estimation of an optimal regulator and a baseline generator. Initial simulation results of this approach using a second order system showed the ability of the Q-learning frame integrated with the EM algorithm approximates to the optimal tracking task.
Fault Simulation and Test Pattern Generation for Cross-gate Defects in FinFET Circuits

A FAST fault model is proposed for small delay faults induced by cross-gate defects in FinFET. FAST ATPG, fault simulation, and test selection are presented to generate and select test patterns to detect FAST faults. Experiments on large benchmark circuits show that our pattern sets have approximately 29% and 4% better FAST coverage and FAST SDQL respectively than those of commercial tool timing-unaware 1-detect pattern sets.
Correlation Properties of the Kinematic Sunyaev-Zel’dovich Effect and Implications for Dark Energy

In the context of a cosmological study of bulk flows in the universe, we present a detailed study of the statistical properties of the kinematic Sunyaev-Zel'dovich (kSZ) effect. We first compute analytically the correlation function and the power spectrum of the projected peculiar velocities of galaxy clusters. By taking into account the spatial clustering properties of these sources, we perform a line-of-sight computation of the all-sky kSZ power spectrum and find that at large angular scales (l < 10), the local bulk flow should leave a visible signature above the Poisson-like fluctuations dominant at smaller scales, while the coupling of density and velocity fluctuations should give a much smaller contribution. We conduct an analysis of the prospects of future high-resolution CMB experiments (such as ACT and SPT) for detecting the kSZ signal and extracting cosmological information and dark energy constraints from it. We present two complementary methods, one suitable for "deep and narrow" surveys such as ACT and one suitable for "wide and shallow" surveys such as SPT. Both methods can constraint the equation of state of dark energy (w) to about 5%-10% when applied to forthcoming and future surveys and can probe w in complementary redshift ranges, which could shed some light on its time evolution. This is mainly due to the high sensitivity of the peculiar velocity field to the onset of the late acceleration of the universe. We stress that this determination of w does not rely on the knowledge of cluster masses, although it relies on cluster redshifts and makes minimal assumptions about cluster physics.
Programmable photonic signal processor chip for radiofrequency applications

Integrated microwave photonics, an emerging technology combining radio frequency (RF) engineering and integrated photonics, has great potential to be adopted for wideband analog processing applications. However, it has been a challenge to provide photonic integrated circuits with equal levels of function flexibility as compared with their electronic counterparts. Here, we introduce a disruptive approach to tackle this need, which is analogous to an electronic field-programmable gate array. We use a grid of tunable Mach–Zehnder couplers interconnected in a two-dimensional mesh network, each working as a photonic processing unit. Such a device is able to be programmed into many different circuit topologies and thereby provide a diversity of functions. This paper provides, to the best of our knowledge, the first ever demonstration of this concept and shows that a programmable chip with a free spectral range of 14 GHz enables RF filters featuring continuous, over-two-octave frequency coverage, i.e., 1.6–6 GHz, and variable passband shaping ranging from a 55 dB extinction notch filter to a 1.6 GHz bandwidth flat-top filter.
Protective effect of kaempferol, a flavonoid compound, on oxidative mitochondrial damage in streptozotocin-induced diabetic rats

The present study was designed to investigate the effect of kaempferol on oxidative mitochondrial damage in liver of streptozotocin (STZ)-induced diabetic rats. Diabetes was induced into adult male albino rats of the Wistar strain, by intraperitoneal administration of STZ (40 mg/kg body weight (BW)). Kaempferol (100 mg/kg BW) or glibenclamide (600 µg/kg BW) was administered orally once daily for 45 days. Diabetic rats showed a significant elevation of mitochondrial thiobarbituric acid reactive substances (TBARS) levels in liver as compared to control rats. The level of enzymatic (superoxide dismutase (SOD), glutathione peroxidase (GPx)) and non-enzymatic (reduced glutathione (GSH)) antioxidants were decreased significantly in liver mitochondria of STZ-induced diabetic rats as compared to control rats. Administration of kaempferol or glibenclamide resulted in significant decrease in TBARS and significant increase in SOD, GPx and GSH when compared to diabetic control rats. The activities of mitochondrial enzymes such as isocitrate dehydrogenase (ICDH), alpha-ketoglutarate dehydrogenase (α-KGDH), succinate dehydrogenase (SDH), and malate dehydrogenase (MDH) decreased significantly in STZ-induced diabetic rats. In addition, the activities of mitochondrial respiratory chain enzymes such as NADH dehydrogenase and Cytochrome c-oxidase also decreased significantly in STZ-induced diabetic rats as compared to control rats. Administration of kaempferol or glibenclamide resulted in significant reversal of these enzymes’ activities to near normal when compared to diabetic control rats. Thus, obtained results indicate that administration of kaempferol attenuates the mitochondrial damage in STZ-induced diabetic rats.
Development of rating system for Sustainable building in Malaysia

Existing environmental assessment methods attempt to measure improvements in the environmental performance of buildings relative to current typical practice or requirements. The assumption is that by continually improving the environmental performance of individual buildings, the collective reduction in resource use and ecological loadings by the building industry will be sufficient to fully address the environmental agenda. The choice of the term ‘green building assessment’ is seen as a useful term to convey this intent. Several environmental methodologies and methods for evaluating environmental performance of buildings are being currently developed. In a global scale it is worth mentioning SB (Sustainable Building) Tool, formerly known as GB Tool (Green Building Tool) which is an international project coordinated from Canada, LEED (Leadership in Energy and Environmental Design) a method developed in the USA with a world wide application and CASBEE (Comprehensive Assessment System for Building Environmental Efficiency), a method developed in Japan. In Europe, some of the most frequently used include BREEAM (Building Research Establish Environmental Assessment Method) in the UK and also it is worth mentioning the HQE (High Environmental Quality) developed in France during the last decade and the VERDE method developed recently in Spain (Maria Sinou 2006). In this paper several method will be discuss and will become main references for developing Sustainable building Tool for Malaysia. Key-Words: Building Performance, Sustainable, Building Rating, Practice, Assessment
Human Fly Human Target Control Untreated Treated Untreated Treated or Xenogeneic Standard or Internal Standard ChIP-Seq of Target of interest

A key challenge in quantitative ChIP-seq is the normalisation of data in the presence of genome-wide changes in occupancy. Analysis-based normalisation methods were developed for transcriptomic data and these are dependent on the underlying assumption that total transcription does not change between conditions. For genome-wide changes in transcription factor binding, these assumptions do not hold true. Misapplication of these methods to ChIP-seq data results in the suppression of the biological signal or erroneous measurement of differential occupancy. The challenges in normalisation are confounded by experimental variability during sample preparation and processing. Current experimental methodologies do not fully control for variables that influence DNA recovery. We present a novel normalisation strategy utilising an internal standard of unchanged peaks for reference. We compare our approach to normalisation by total read depth and two alternative methods that utilise external controls to study transcription factor binding. We successfully resolve the key challenges in quantitative ChIP-seq analysis and demonstrate its application by monitoring the changes in ∗To whom correspondence should be addressed. Tel: +44 1223 769500; Fax: +44 1223 769510; Email: andrew.holding@cruk.cam. ac.uk Estrogen Receptor-alpha (ER) binding upon fulvestrantmediated degradation of ER, which compromises ER binding genome-wide. Additionally, we developed an adaptable pipeline to normalise and quantify differential transcription factor binding genome-wide and generate metrics for differential binding at individual sites.
Particle Swarm Optimization Supported Artificial Neural Network in Detection of Parkinson ’ s Disease

Recent research works have focused on detection of Parkinson’s disease using several machine learning techniques. Accurate separation of normal persons in the subjects under consideration from the persons being affected by Parkinson’s disease is a challenging job. In the present work Neural Network (NN) has been trained using Particle Swarm Optimization (PSO employed to detect persons being affected with Parkinson’s disease. The initial weight vector to the input layer of the NN has been optimized gradually using the optimization techniques to enhance the performance of NN to a greater extent. The experimental results of the proposed method have been compared with a well-known Multilayer Perceptron Feed-Forward Network (MLP-FFN) and also with the NN. Performance measures like accuracy, precision, recall and F-measure have been used to compare the performances of the algorithms. The experimental results have revealed significant improvement over the existing performances to detect Parkinson’s disease using PSO.
Unisex: A unix‐based symbolic executor for pascal

UNISEX is a UNIX‐based symbolic executor for Pascal. The UNISEX system provides an environment for both testing and formally verifying Pascal programs. The system supports a large subset of Pascal, runs on UNIX and provides the user with a variety of debugging features to help in the difficult task of program validation. This paper contains a brief introduction to symbolic execution, followed by an overview of the features of UNISEX, a discussion of the UNISEX Pascal language, and some of the implementation details for the UNISEX system. Finally, some of the problems encountered when designing and implementing the system are discussed as well as future directions.
Isolation, Identification and Screening of Dye Decolorizing Bacteria

The present study deals with the isolation, identification and screening of bacterial species capable to decolorize variety of dyes. Decolorization of dyes and growth of the bacterial species are investigated. The strain ETL-1942 decolorized all the selected dyes except Remazol Brilliant Blue R, Reactive Blue H5G, Remazol Turquoise Blue G and Fast Green. In our study, we identified three groups of dyes on the basis of the pattern of dye decolorization by strain ETL-1942. The results indicate that decolorization rate is faster for the dyes of the third group than the second group. The strain can grow with all the six dyes tested, but decolorization rates are different for each dye. These results demonstrate that the strain ETL-1942 have ability to decolorize wide range of dyes and therefore further investigation for physico-chemical parameter were carried out.
UTD’s Event Nugget Detection and Coreference System at KBP 2017

We describe UTD’s participating system in the event nugget detection and coreference task at TAC-KBP 2017. We designed and implemented a pipeline system that consists of three components: event nugget identification and subtyping, REALIS value identification, and event coreference resolution. We proposed using an ensemble of 1-nearest-neighbor classifiers for event nugget identification and subtyping, a 1-nearest-neighbor classifier for REALIS value identification, and a learningbased multi-pass sieve approach consisting of 1-nearest-neighbor classifiers for event coreference resolution. Though conceptually simple, our system compares favorably with other participating systems, achieving F1 scores of 50.37, 40.91, and 33.87 on these three tasks respectively on the English dataset, and F1 scores of 46.76, 35.19, and 28.01 on the Chinese dataset. In particular, it ranked first on Chinese event nugget coreference.
Statistical Design And Analysis For A Biological Effects Study

Statistical aspects of 'biological effects' field surveys are discussed, with particular reference to the GEEP Workshop. Recommendations are made on design criteria, for example, selection of sites and samples, and replication strategies (including formulae for sample size determination) The role of transforinations is discussed, both for univariate sub-lethal response data and the mulbvariate data arising from benthic community studies. Statistical analysis is categorised into testing methods, for establishing biological differences between field sites, and descriptive techniques, for representation of those differences. The former includes a non-parametric randomisation test for use with site-species arrays and the latter a survey of various multivariate ordination and clustering methods A final section outlines a procedure for comparison of different pollution indices, combining their power to detect specific contaminant inputs with their associated 'costs'
COMBINATIONAL LOGIC CIRCUITS DESIGN THROUGH ANT COLONY OPTIMIZATION ALGORITHM

With the increasing demand for high quality, more efficient and less area circuits, the problem of circuit design has become a multi-objective optimization problem. Therefore, there should evolve new methodologies for designing logic circuits. The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power.
Conceptualization with Incremental Bron-Kerbosch Algorithm in Big Data Architecture

The paper introduces a novel conceptualization algorithm optimized for a distributed, Big Data environment. The proposed method uses a concept generation module based on clique detection in the context graph. The presented work proposes a novel incremental version of the Bron-Kerbosch maximal clique detection method. The efficiency of the method is evaluated with random context tests. The presented incremental model is even comparable with the usual batch methods. The analysis of the clique detection algorithm in MapReduce architecture provides efficiency comparison for large scale contexts.
Distribution of Siliceous-Walled Algae in Taylor Valley, Antarctica Lakes

The McMurdoDryValleysofAntarcticaare a unique environment characterized by extreme lows in temperature and precipitation, which supports a low diversity microbial and multicellular fauna and flora. Terrestrial biomass is largely limited to soil microbes and mosses, while perennially ice-covered lakes host aerobic and anaerobic microbial communities, algae, and a low diversity eukaryotic fauna. This study provides a scanning electron microscope survey of the distribution of siliceous-walled algae in the water columns and surface sediments of fourTaylorValleylakes. No patterns of distribution of algae, chrysophyte cysts and diatoms, are detected, suggesting that cores taken from perennially ice-covered lakes contain basin-wide records, rather than records specific to the lake depth or other lake-specific criteria. Since Taylor Valley lakes became perennially ice-covered, shifts in diatom assemblages in cores are more likely to record changes to sediment and microfossil transport, e.g. the dominance of eolian vs. stream input, rather than other ecological conditions. Basin-wide records are episodically overprinted by lake-specific events, as demonstrated by a marked increase of the stream diatom genus Hantzschia during a period of increased stream flow into East Lake Bonney.
What's in a Service? Specifying the Business Semantics of Software Services

The success of the service-oriented computing (SOC) paradigm considerably depends on the ability of service consumers to distinguish between published services and choose the ones best suited for a development project. Current SOC standards primarily give information about technical service properties such as the programming interface and the binding information. This enables designers to analyze the technical compatibility of services with the rest of the system. On the basis of such technical information, it is difficult to assess which business semantics a service actually implements and whether it is suited to satisfy functional requirements, however. In this paper, we therefore propose the WS-Functionality language which allows providers to specify the business semantics of software services in business terms. In a design science approach, we firstly describe how conceptual models, which contain business terms and relationships between them, can be used to specify the business semantics of services. Building upon this solution concept, we present the language constructs of WS-Functionality and show a prototypic implementation as proof-of-concept. In a controlled experiment, we were able to support our claim that the information provided with WS-Functionality enhances the ability of service consumers to analyze the business semantics of services and judge whether it satisfies existing functional requirements.
High-speed, area efficient VLSI architecture of wallace-tree multiplier for DSP-applications

Most modern arithmetic processors are built with architectures that have been well-established in the literature, with many of the latest innovations devoted to special logic circuits and the use of advanced technologies. Specifically, the design of multipliers is critical in digital signal processing applications, where a high number of multiplications are required. We have minimized the number of adders by introducing different compressors. Binary counter property has been merged with the compressor property to develop high order compressors such as 5-3 and 7-3 compressors.
Nanotechnolgy a Novel Ocular Drug Delivery : A Review

Ocular drug delivery has remained as one of challenging task for pharmaceutical scientists. The unique structure of the eye restricts the entry of drug molecules at the required site of action [1]. The ancient ophthalmic solutions, suspensions and ointment dosage forms ar e no longer satisfac tory to give the therapeutic action as much as necessary to some current virulent diseases application of drugs to the eye is the well establi shed route of administration for the treatment of various eye dis eases like dryness, conjunctiva, eye f lu etc. The protective mechanisms of the eye such as Blinking, baseline and reflex la chrymation, and drainage decrease the bioavailability of drug a nd lso help to remove rapidly foreign substances like the dust particles bacteria, including drugs, from th eye[3].
Tabletop Interactive Camera Control

Multi-touch surface represents an emerging technology for display and interaction in 3D virtual environment. It can be extended for in- teractively controling a virutal camera inspired with cinematographic primitives. We propose a frame-based interaction metaphor called frame- metaphor which allows to control and compose cinematographic primitives. Through this metaphor user can perform cinematographic operations by interacting with a rectangular frame on multi-touch surface. With reference to the parameters of the frame new camera parameters are computed. This technique allows the user to navigate freely in virtual environment. In this work we design dierent mappings between user inputs and camera parameters and describe how solution techniques for interactive camera control can be build upon through the lens camera techniques [8, 14].