Miracle-dz/UniFAR-FTUs huggingface dataset:
Interstrand cross-linking implies contrasting structural consequences for DNA: insights from molecular dynamics

Abstract Oxidatively-generated interstrand cross-links rank among the most deleterious DNA lesions. They originate from abasic sites, whose aldehyde group can form a covalent adduct after condensation with the exocyclic amino group of purines, sometimes with remarkably high yields. We use explicit solvent molecular dynamics simulations to unravel the structures and mechanical properties of two DNA sequences containing an interstrand cross-link. Our simulations palliate the absence of experimental structural and stiffness information for such DNA lesions and provide an unprecedented insight into the DNA embedding of lesions that represent a major challenge for DNA replication, transcription and gene regulation by preventing strand separation. Our results based on quantum chemical calculations also suggest that the embedding of the ICL within the duplex can tune the reaction profile, and hence can be responsible for the high difference in yields of formation.
Optimal PWM strategy for 11-level series connected multilevel converter using Hybrid PV/FC/BESS source

Most of the Multilevel converters are operated under the switching strategy based on fundamental frequency (each switch goes to turn on and off per output cycle, with the equivalent of pulses), with respective switching angles achieves the low value of output THD and it is nothing but optimal THD minimization strategy. Here we preferred H-bridge multilevel converter topology based on a cascaded connection of a high-voltage converter is interfaced for pv/fuel cell based grid connected/standalone AC power system applications. This paper evaluates a new breed of multi carrier modulation scheme is known as wave shift (hybrid) multi carrier modulation, is used to valuation of proposed cascade multilevel converter (CMC). By using the proposed optimal switching scheme provides low amount of total harmonic distortion (THD) in output voltage compared to conventional switching schemes such as phase shift (PSHM) and level shift (LSHM) modulation scheme and simulation circuit of nine and seven levels for proposed multilevel converter is designed. A Simulation study & comparative analysis has been carried out to present high performance of the proposed scheme to approach a very low total harmonic distortion of voltage which leads to the possible elimination of the output filter using Matlab/Simulink Platform.
Using Semantic Role Labeling to Predict Answer Types

Most question answering systems feature a step to predict an expected answer type given a question. Li and Roth \cite{li2002learning} proposed an oft-cited taxonomy to the categorize the answer types as well as an annotated data set. While offering a framework compatible with supervised learning, this method builds on a fixed and rigid model that has to be updated when the question-answering domain changes. More recently, Pinchak and Lin \cite{pinchak2006} designed a dynamic method using a syntactic model of the answers that proved more versatile. They used syntactic dependencies to model the question context and evaluated the performance on an English corpus. However, syntactic properties may vary across languages and techniques applicable to English may fail with other languages. In this paper, we present a method for constructing a probability-based answer type model for each different question. We adapted and reproduced the original experiment of Pinchak and Lin \cite{pinchak2006} on a Chinese corpus and we extended their model to semantic dependencies. Our model evaluates the probability that a candidate answer fits into the semantic context of a given question. We carried out an evaluation on a set of questions either drawn from NTCIR corpus \cite{ntcir2005} or that we created manually.
Using Object-Oriented Big Data Analytics to Reveal Server Performance Dead Zone

So far, big data analytics have proved worth by reaping fruitful achievements in business intelligence, health care and so on, which aims to reveal efficiently hidden and unique information from pre-existing large datasets. Therefore, big data analytics are sprouting in almost all areas, expecting to find new values from musty archives or continuous wave of newly generated data. This paper introduces how we utilize big data technologies to establish an object-oriented analytic architecture for IT operations, which evolves from traditional and coarse statistics into fine-grained and in-depth analysis. Moreover, this paper demonstrates applying the architecture to peek inside practical problem of the server performance dead zone. The peering process consists of applying various analysis models iteratively on large set of server logs. Our work can be considered as an attempt to exploit how object-oriented big data analytic benefits IT system operations and optimization.
An Iterative Approach to Pitch – marking of Speech Signals without Electroglottographic Data

We propose an iterative approach to high–quality pitch– marking of speech recordings without the use of laryngographic data. Our method first identifies islands of pitch marks that can be determined with high confidence. These islands are then extended into neighboring regions. A second round of island identification and extension with lower quality requirements fills the remaining gaps. We evaluate this pitch–marking method against pitch–marks produced with thePraatsound analysis software [1].
Extended programming in the large in a software development environment

This paper deals with the programming in the large part and the integration with related activities (programming in the small, variant control, support of technical documentation, responsibility and access control) of the software development and maintenance process. It is pointed out how these tasks are supported with an integrated and incremental software project support environment (IPSEN). Snapshots of a working session are used to demonstrate the user interface and the functionality of the tools for the above mentioned topics. The main concern of this paper is to show how an incremental and integrated tool set, regarding the consistency of software documents can support software development.
Applying Dependency of Attributes for Business Data Mining in Information Systems: A Theoretical Framework

This paper presents the applications of dependency of attributes in information systems for data mining from business datasets. Firstly, we present the theoretical framework for data clustering on small business dataset. It is based on a construction of a hierarchical rough set approximation in an information system for data splitting. The hierarchy is defined by the notion of a nested sequence of indiscernibility relations that can be defined from the dependency of attributes. Secondly, an application of such hierarchy for mining maximal association from a business transactional data is presented. It is shown that the dependency provides clear and provable theoretical approach for data clustering and maximal association rules mining.
Improving TCP / IP security through randomization without sacrificing interoperability

The topic of TCP initial sequence numbers has been written about many times. The Morris worm made news in 1988, Kevin Mitnick's spoofing attack on Tsutomu Shimomura made news in 1995, “The Problem with Random Increments” appeared in 2001, and Paul Watson's “Slipping in the Window” made the news in 2004. Despite these events, and the publishing of many excellent papers on the topic such as [Zal01] and [Zal02], this is still a topic worth discussing for one main reason: Every operating system still uses a different method of ISN generation!
Radar interferometry for monitoring land subsidence due to underground water extraction

The underground water extraction induced subsidence has the characteristics of slow rate, less predictable location and coverage. Over a long time period, the cumulated subsidence can be up to a few metres. This paper demonstrates the feasibility and capability of using conventional two-pass differential interferometric synthetic aperture radar (DInSAR) for monitoring the underground water extraction induced subsidence. Two case studies are given in this paper. One is at the geothermal fields in New Zealand and another is the urban subsidence due to underground water over exploitation in China. The ERS-2 C-band and JERS-1 L-band SAR data were used respectively. The ERS-2 DInSAR results showed strong temporal and spatial decorrelation. A 70 days DInSAR subsidence map has been validated against the ground surveying data quantitatively. For the urban subsidence example in China, the L-band DInSAR results showed high agreement with the surveying data for a subsidence rate of over 80mm/year. BIOGRAPHY OF PRESENTER Dr Linlin Ge is currently a Senior Lecturer of remote sensing and GPS at the University of New South Wales (UNSW). He received his BEng (1st Hons) in Optical Engineering from the Wuhan Technical University of Surveying and Mapping (1985), MSc in Crustal Deformation from the Institute of Seismology (1988), and PhD in GPS and remote sensing from the UNSW (2001). His current research interests include microwave and optical remote sensing, structural deformation monitoring, kinematic interpretation of CGPS data (the so-called “GPS seismometers”), interpretation of CGPS data by incorporating synthetic aperture radar interferometry (InSAR), mitigation of atmospheric disturbance in InSAR, and analysis of single-frequency GPS observations with the aid of dual-frequency GPS data.
DG placement and size with continuation power flow method

Optimum location and size of distributed generations (DGs) is important to maximize the system's stability. This paper presents a new simple but robust method based on the continuation power flow (CPF) method to determine the optimal location of DG units. The tangent vector in the CPF method provides the ratio of differential change in voltage to differential change in load. Size of DGs at each location is computed through an iteration process until the stable condition of the system is achieved. The proposed CPF method is tested on the IEEE 24-bus Reliability Test System (RTS) the results show the robustness of the method. Further relevant findings are also discussed in this paper.
Industrial revitalization and complex adaptive systems : a framework for exploring the context of collaborative planning + powerpoint

Although planning support systems (PSS) are meant to facilitate the implementation of innovative social or technological urban solutions, usability studies show a bottleneck in the adoption of these IT systems. One explanation is that IT developers are too far removed from the planning environment. Therefore, they lack important contextual knowledge concerning the diverse interests that steer the interactions of growing numbers of stakeholders in their response to economic and environmental uncertainty. Consequently, practitioners perceive PSS designs to be too technical and not sufficiently responsive to their needs for adaptability and process integration. This paper aims to better inform PSS design through a method that explores conditions of high complexity and uncertainty in industrial revitalization projects. By applying the three main principles of complex adaptive systems (CAS) theory – agents, their interactions and the environment within which they interact – we identify the individual contextual variables that create a collective landscape of uncertainty and complexity, and we reveal the need for planning practitioners to respond flexibly to changes in the planning environment. We use these CAS principles to analyze the collaborative planning process of an industrial revitalization project on the Dutch-German border. Outcomes from this exercise suggest that key stakeholders seek to balance power imbalances for the purpose of collaboration; through balanced dialogue, key stakeholders can turn potential threats to collaboration into creative new ideas; identifying stakeholder interests in specific tasks can help to organize effective forums for collaboration and pre-existing physical, social and regulatory structures largely determine early-stage planning objectives. These findings represent key contextual knowledge to inform PSS design in promotion of practitioner adoption.
Approximation Guarantees for Max Sum and Max Min Facility Dispersion with Parameterised Triangle Inequality and Applications in Result Diversification

Facility Dispersion Problem, originally studied in Operations Research, has recently found important new applications in Result Diversification approach in information sciences. This optimisation problem consists of selecting a small set of p items out of a large set of candidates to maximise a given objective function. The function expresses the notion of dispersion of a set of selected items in terms of a pair-wise distance measure between items. In most known formulations the problem is NP-hard, but there exist 2-approximation algorithms for some cases if distance satisfies triangle inequality. We present generalised 2= approximation guarantees for the Facility Dispersion Problem in its two most common variants: Max Sum and Max Min, when the underlying dissimilarity measure satisfies parameterised triangle inequality with parameter . The results apply to both relaxed and strengthen variants of the triangle inequality. We also demonstrate potential applications of our findings in the result diversification problem including web search or entity summarisation in semantic knowledge graphs, as well as in practical computations on finite data sets.
Econometric Estimation of World Salmon Demand

This paper reports the estimation of a singleequation model of the world market price of salmon over the period 1958-1982. The equation estimated explains the equilibrium price in terms of world salmon landings, OECD consumer expenditures, and the price of a substitute. The equation is specir fied dynamically. It implies relatively elastic short-run responses of demand to price and income changes, together with the persistence of habits over a longer period.
Constraints on autonomous use of standard GPU components for asynchronous observations and intrusion detection

The high computational power of graphics processing units (GPU) is used for several purposes nowadays. Factoring integers, computing discrete logarithms, and pattern matching in network intrusion detection systems (IDS) are popular tasks in the field of information security where GPUs are used for acceleration. GPUs are commodity components and are widely available in computer systems which would make them an ideal platform for a wide-spread IDS. We investigate the feasibility to use current GPUs for asynchronous host intrusion detection as proposed in a former work and come to the conclusion that several constraints of GPUs limit the use for concurrent and asynchronous off-CPU processing in host IDSs. GPUs have restrictions in terms of continuity, asynchronism, and unrestricted access to perform this task. We propose an observation mechanism and discuss current constraints on autonomous use of standard GPU components for intrusion detection. Finally, we come to the conclusion that several modifications to graphics cards are necessary to enable our approach.
Content based sports video sequences analysis and synthesis

It is very important to analyze and synthesize sports video sequences efficiently for improving competition. Aiming at some limits existing in literature with complex computation and low efficiency in analysis sport video, a novel method has been developed to analyze and synthesize sport videos by intercepting pictures manually or automatically based on visual content. A group of continuous pictures is intercepted automatically from sports video sequences firstly. Some pictures can be added and removed manually based on visual content secondly. Some concerning pictures containing some important semantic information can be gotten in this way. Each picture can be analyzed by some marks added and can be saved in a container. Each group of pictures can be found in the related folder easily and can be demonstrated continuously. Much time is saved and some important semantic information in the sport video can be obtained efficiently by the proposal.
Development of five digits is controlled by a bipartite long-range cis-regulator

Conservation within intergenic DNA often highlights regulatory elements that control gene expression from a long range. How conservation within a single element relates to regulatory information and how internal composition relates to function is unknown. Here, we examine the structural features of the highly conserved ZRS (also called MFCS1) cis-regulator responsible for the spatiotemporal control of Shh in the limb bud. By systematically dissecting the ZRS, both in transgenic assays and within in the endogenous locus, we show that the ZRS is, in effect, composed of two distinct domains of activity: one domain directs spatiotemporal activity but functions predominantly from a short range, whereas a second domain is required to promote long-range activity. We show further that these two domains encode activities that are highly integrated and that the second domain is crucial in promoting the chromosomal conformational changes correlated with gene activity. During limb bud development, these activities encoded by the ZRS are interpreted differently by the fore limbs and the hind limbs; in the absence of the second domain there is no Shh activity in the fore limb, and in the hind limb low levels of Shh lead to a variant digit pattern ranging from two to four digits. Hence, in the embryo, the second domain stabilises the developmental programme providing a buffer for SHH morphogen activity and this ensures that five digits form in both sets of limbs.
The Design of Interface Circuit Based on S3C2410 Data Acquisition System

This paper introduces the design of hardware circuit of data acquisition system, the designed circuit of LCD (liquid crystal display) and touching screen interface is provided in detail. Through a detailed analysis of the working principle of human-computer interaction, the embedded processor S3C2410 which as the core ARM920T is produced by SAMSUNG company, which for terminal equipment and take a cost-effective, low-power applications. The LCD with low consumption, high brightness and small volume is widely used in data acquisition systems, both and the touch screen that easy to use and operation.
Employment issues and challenges facing older workers in Lethbridge, Alberta

This study assesses the current perceptions of older workers, defined as aged 50 and over, in Lethbridge, Alberta and area. Specifically, the study addresses two research questions. The first seeks to determine the primary challenges facing older workers in their quest to find suitable employment. The second examines the value which older workers place on programs currently in place to assist in their search for employment. The intent of this study is to inform Government and private sector policies and programs as they relate to the provision of services which will alleviate the unemployment difficulties of older workers. A mixed methods approach was employed with the use of structured interviews and survey questionnaires. This results from this study suggested partial support for ageist attitudes and stereotyping as barriers to employment. There was also some support for the improvement of current employment programs targeted at older job seekers.
Suppression of Gelatinase Activity in Human Peripheral Blood Mononuclear Cells by Verapamil

Objective: Gelatinases are a large group of proteolytic enzymes that belong to the matrix metalloproteinases (MMPs). MMPs are a broad family of peptidases, which proteolyse the extracellular matrix and have an important role in inflammation. Verapamil is a calcium channel blocker extensively used in the treatment of numerous cardiovascular diseases such as arrhythmia and hypertension. The anti-tumor and anti-inflammatory effects of verapamil have also been shown. In this study, the effect of verapamil on gelatinase activity in human peripheral blood mononuclear cells (PBMCs) has been assessed in vitro. Materials and Methods: In this experimental study, PBMCs from healthy adult volunteers were isolated by ficoll-hypaque-gradient centrifugation. The cells were then cultured in complete RPMI-1640 medium and after that incubated with different concentrations of verapamil (0–200 μM) in the presence or absence of phytoheamagglutinin (PHA) (10 μg/ml) for 48 hours. The gelatinase A (MMP-2)/gelatinase B (MMP-9) activity in cell-conditioned media was then evaluated by gelatin zymography. Statistical comparisons between groups were made by analysis of variance (ANOVA). Results: Verapamil significantly decreased the MMP-2/MMP-9 activity in human PBMCs after 48 hours incubation time compared with untreated control cells. The association was dose-dependent. Conclusion: In this study verapamil exhibited a dose-dependent inhibitory effect on gelatinase A and gelatinase B activity in human PBMCs. It seems that the anti-inflammatory properties of verapamil may be in part due to its inhibitory effects on gelatinase activity. Regarding the beneficial effects of MMPs- inhibitors in the treatment of some cardiovascular diseases, the positive effect of verapamil on such diseases may be in part due to its anti-MMP activity. Verapamil with its inhibitory effects on gelatinases activity may be a useful MMP-inhibitor. Given the beneficial effect of MMP-inhibitors in some cancerous, inflammatory and autoimmune disorders, it seems likely that verapamil could also be used to treat these diseases.
Finding large average submatrices in high dimensional data

The search for sample-variable associations is an important problem in the exploratory analysis of high dimensional data. Biclustering methods search for sample-variable associations in the form of distinguished submatrices of the data matrix. (The rows and columns of a submatrix need not be contiguous.) In this paper we propose and evaluate a statistically motivated biclustering procedure (LAS) that finds large average submatrices within a given real-valued data matrix. The procedure operates in an iterative-residual fashion, and is driven by a Bonferroni-based significance score that effectively trades off between submatrix size and average value. We examine the performance and potential utility of LAS, and compare it with a number of existing methods, through an extensive three-part validation study using two gene expression datasets. The validation study examines quantitative properties of biclusters, biological and clinical assessments using auxiliary information, and classification of disease subtypes using bicluster membership. In addition, we carry out a simulation study to assess the effectiveness and noise sensitivity of the LAS search procedure. These results suggest that LAS is an effective exploratory tool for the discovery of biologically relevant structures in high dimensional data. Software is available at this https URL