Miracle-dz/UniFAR-FTUs huggingface dataset:
Genomes correction and assembling: present methods and tools

Recent rapid development of next generation sequencing (NGS) technologies provided significant impact into genomics field of study enabling implementation of many de novo sequencing projects of new species which was previously confined by technological costs. Along with advancement of NGS there was need for adjustment in assembly programs. New algorithms must cope with massive amounts of data computation in reasonable time limits and processing power and hardware is also an important factor. In this paper, we address the issue of assembly pipeline for de novo genome assembly provided by programs presently available for scientist both as commercial and as open – source software. The implementation of four different approaches – Greedy, Overlap – Layout – Consensus (OLC), De Bruijn and Integrated resulting in variation of performance is the main focus of our discussion with additional insight into issue of short and long reads correction.
Computational System For TheTextual Processing Of Industrial Patents

This work presents a study related to the application of text mining methods in Brazilian industrial patents (INPI databases) as a tool of competitive profit for companies supplying technology. The main objective is to discover, using patents abstracts analysis, the main developers’ companies in all technological areas, helping in the competitors’ identification. The patent mining is capable of discovering, through the research aiming perception, new industrial trends helping to create strategies that anticipate the demand and to get a competitive profit through technological innovations.
Finding Common Ground: An Analysis of Librarians' Expressed Attitudes Towards Faculty

SUMMARY Information literacy listservs provide opportunities to discuss a range of instruction-related issues. One common theme is librarian-faculty relationships, including positive interactions and complaints. Content analysis is used to investigate librarians' discussions of faculty in BI-L/ILI-L postings from 1995 to 2002. By isolating and anonymizing postings reflecting librarian-faculty relationships and examining these through the authors' experiences as trained librarians and full-time faculty, the paper explores: (1) how librarians frame faculty relationships; and (2) librarians' perceptions of faculty attitudes. The paper concludes with suggestions for transcending unsatisfactory experiences with faculty to forge relationships that benefit those individuals both groups must reach–students.
Bibliometric review of 1992–2022 publications on acupuncture for cognitive impairment

Objective To explore the development context, research hotspots, and frontiers of acupuncture therapy for cognitive impairment (CI) from 1992 to 2022 by visualization analysis. Methods Articles about acupuncture therapy for cognitive impairment were retrieved from the Web of Science Core Collection (WoSCC) until 1 March 2022. Basic information was collected by Excel 2007, and VOSviewer 1.6. 17 was used to analyze the co-occurrence of countries, institutes, and authors. Co-citation maps of authors and references were analyzed by CiteSpace V.5. 8.R3. In addition, CiteSpace was used to analyze keyword clusters and forecast research frontiers. Results A total of 279 articles were retrieved, including articles from 19 countries, 334 research institutes, and 101 academic journals. The most published country and institutes were the People's Republic of China (217) and the Fujian University of Traditional Chinese Medicine (40). Ronald C Petersen owned the highest co-citations (56). Keywords and co-cited references cluster showed the main research directions in this area, including “ischemic stroke,” “cerebral ischemia/reperfusion,” “mild cognitive impairment,” “Alzheimer's disease,” “vascular dementia,” “vascular cognitive impairment with no dementia,” “multi-infarct dementia,” “synaptic injury,” “functional MRI,” “glucose metabolism,” “NMDA,” “nuclear factor-kappa b pathway,” “neurotrophic factor,” “matrix metalloproteinase-2 (MMP-2),” “tumor necrosis factor-alpha,” “Bax,” “Caspase-3,” and “Noxa”. Trending keywords may indicate frontier topics, such as “randomized controlled trial,” “rat model,” and “meta-analysis. ” Conclusion This research provides valuable information for the study of acupuncture. Diseases focus on mild cognitive impairment (MCI), Alzheimer's disease (AD), and vascular dementia (VaD). Tauopathies with hyperphosphorylation of Tau protein as the main lesions also need to be paid attention to. The development of functional magnetic resonance imaging (fMRI) will better explain the therapeutic effect of acupuncture treatment. The effect of acupuncture on a single point is more convincing, and acupuncture on Baihui (GV20) may be needed in the future. Finally, the implementation of high-quality multicenter randomized controlled trials (RCTs) requires increased collaboration among experts from multiple fields and countries.
An analog/digital interface for cellular telephony

This paper describes a mixed-signal ASIC for dual-mode (analog/digital) cellular telephony applications. It consists of two transmit and receive channels for the I and Q channels of a quadrature phase shift keying (QPSK) modulation system. It also includes three 8-bit DAC's for control purposes as well as a bandgap voltage reference and bus interface circuitry. The chip is part of a 4-chip chipset implementation of an IS-54 dual mode telephone. <<ETX>>
Traffic classification and packet detections to facilitate networks security

Traffic classification has a vital role in tasks as wide ranging as trend analyses, adaptive network-based QoS marking of traffic, dynamic access control and lawful interception. The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. An important role of this work is to show the need for thorough comparisons between the plethora of proposed solutions in traffic classification and packet detections. Certainly there are other learning algorithms, other features, other performance measures, different approaches to traffic classification and packet detection, in general more research have been done, and within the same lane, we propose a novel strategy called 'separator'. This paper is an attempt to create discussion and inspire future research in this direction. The method proposed is theoretically proved to have tight error bound and small space usage. We then show that it is useful to differentiate algorithms based on computational performance rather than classification accuracy alone, as although classification accuracy between the algorithms is similar, computational performance can differ significantly. Comprehensive experiments conducted also verify our mechanism accuracy and efficiency.
Logic Programming as a Means of Representing Semantics in Design Languages

Logic programming is discussed as a method for representing aspects of design language: descriptions of designs, domain knowledge, transformation rules (design grammar), and control mechanisms necessary to implement rules. The applicability of logic programming to the representation of semantics in design is also explored. Control at the semantic level provides a means of directing the automated generation of designs. Examples are drawn from a rule-based design system written in the logic programming language PROLOG.
The physics of epistemology

A comprehensive and generalised model of human cognitive processes has been put together by the author based on his research and investigations carried out periodically over an extended period of time. The model is represented by three Venn diagrams. These consist of three fuzzy sets, one representing quantum mechanical processes, one representing pattern recognition processes and one representing digital action processes. These fuzzy sets are variable and overlapping in both horizontal and vertical dimensions depending upon the subject and level of detail being considered at the moment. These overlaps can be considered to be a kind of internal synchronisation of intentions and/or actions for such subjects. Implications from the recent revelations of string theory, which unifies all four of the basic forces of the universe, also imply that the most fundamental processes of the mind, involving emotions, values and beliefs for example, as well as judgement and decision processes could be represented by cons.
Recognize Handwritten Urdu Script Using Kohenen Som Algorithm

In this paper we use the Kohonen neural network based Self Organizing Map (SOM) algorithm for Urdu Character Recognition. Kohenen NN have more efficient in terms of performance as compare to other approaches. Classification is used to recognize hand written Urdu character. The number of possible unknown character is reducing by pre-classification with respect to subset of the total character set. So the proposed algorithm is attempt to group similar character. Members of pre-classified group are further analyzed using a statistical classifier for final recognition. A recognition rate of around 79.9% was achieved for the first choice and more than 98.5% for the top three choices. The result of this paper shows that the proposed Kohonen SOM algorithm yields promising output and feasible with other existing techniques.
14-bit two-step successive approximation ADC with calibration circuit for high-resolution CMOS imagers

A 14-bit two-step successive approximation analogue-to-digital converter (SA ADC) for high-resolution CMOS imagers is proposed. The proposed SA ADC consumes a small area because it uses only a capacitor array for 7-bit resolution to implement 14-bit ADC. To enhance accuracy, it uses digital-to-analogue conversion (DAC) embedded reference buffers to calibrate reference voltages. The average switching energy in the capacitor array is only 5.8 pJ per single conversion step. The HSPICE post-layout simulation results show that SNDR of the proposed ADC is improved from 73.41 to 81.52 dB after calibration.
HEP specific benchmarks of virtual machines on multi-core CPU architectures

Virtualization technologies such as Xen can be used in order to satisfy the disparate and often incompatible system requirements of different user groups in shared-use computing facilities. This capability is particularly important for HEP applications, which often have restrictive requirements. The use of virtualization adds flexibility, however, it is essential that the virtualization technology place little overhead on the HEP application. We present an evaluation of the practicality of running HEP applications in multiple Virtual Machines (VMs) on a single multi-core Linux system. We use the benchmark suite used by the HEPiX CPU Benchmarking Working Group to give a quantitative evaluation relevant to the HEP community. Benchmarks are packaged inside VMs and then the VMs are booted onto a single multi-core system. Benchmarks are then simultaneously executed on each VM to simulate highly loaded VMs running HEP applications. These techniques are applied to a variety of multi-core CPU architectures and VM configurations.
The Middle Mile: The Role of the Public Library in Ensuring Access to Broadband

This paper discusses the role of the public library in ensuring access to the broadband communication that is so critical in today’s knowledge-based society. It examines the culture of information in 2010, and then asks what it means if individuals are online or not. The paper also explores current issues surrounding telecommunications and policy, and finally seeks to understand the role of the library in this highly technological, perpetually connected world.
Chromaticity contrast, luminance contrast, and legibility of text

The purpose of this investigation was to determine if color differences can improve legibility and compensate for insufficient luminance contrast. Several authors previously have answered this question positively on the basis of performance experiments. We argue that a valid answer cannot be given unless subjective data are used. In four experiments, subjective ratings were collected pertaining to multicolor CRT text displays. The displays were systematically varied with respect to both luminance contrast and chromaticity contrast. The results indicate that chromaticity contrast and luminance contrast are additive only under specific conditions. Chromaticity contrast cannot improve legibility if an acceptable level of luminance contrast is present. Generally, chromaticity contrast cannot be substituted for luminance contrast.
Research on Optimization Method of Extreme Learning Machine with Application of Information Technology

Based on the research of extreme learning machine and support vector machine, this paper does the research on the optimization method on extreme learning machine. This paper suggests an optimization model of extreme learning machine based on the improvement of the old model, and this model has obvious improvement on generalization ability and learning parameter ability. This approach can improve the development efficiency in the information technology, the experiment indicate this approach is efficient.
How do people feel while walking in the city? Using walking-triggered e-diaries to investigate the association of social interaction and environmental greenness during everyday life walking

Background Light to moderate physical activity, which includes walking, is associated with positive effects on physical and mental health. However, concerning mental health, social and physical environmental factors are likely to play an important role in this association. This study investigates person-place interactions between environmental characteristics (greenness, social interaction) and momentary affective states during walking episodes. A within-subject design is implemented, in which affective states and environmental characteristics are assessed while participants are walking outside. Methods On smartphones, coupled with a motion sensor (move3), e-diaries were triggered as soon as people walked 100 m outside. E-diaries assessed momentary affective states (valence, calmness, energetic arousal), and social interaction (walking alone; seeing other people while walking; interacting with other people; walking with a known person) between 6 am and 10 pm over nine days. The percentage of greenness was determined afterward from recorded GPS and GIS data. Demographics were collected in advance via an online questionnaire. Multilevel models were calculated with R for 46 individuals (age = 41.2, ± 13.2; 52% female). Results Affective state dimension energetic arousal showed a significant association with social interaction and greenness, i.e., participants rated energetic arousal lower when walking alone, and if there was less greenness vs. when interacting shortly with someone while walking (β = 0.13, p = 0.02), and being in situations with more greenness (β = 0.08, p = 0.02). Furthermore, associations with social interaction and greenness were found for dimension calmness: walking together with someone was associated with higher calmness (β = 0.16, p = 0.02), and the higher the proportion of surrounding greenness during a walk, the higher calmness was rated, i.e., participants were calmer (β = 0.09, p = 0.01). Significant associations with valence were not present. Conclusion The findings indicate that the affective states varied significantly due to different social and physical environmental factors. In the future, the importance of environmental factors should be further investigated, e.g., by assessing environmental factors right in situations contrary to a subsequent imputation. Within-subject designs, and in particular triggered assessments with the addition of GPS, can aid in developing interventions for health-promoting urban environments.
Off-line signature verification using geometric features specific to Chinese handwriting

This paper is concerned with the off-line signature verification scheme. The distinction in our work is that we have taken more consideration with the Chinese signature structure. And we present four main features for the optimization of the verification of the Chinese signatures, viz, the envelop of the signature, cross-count feature, center of gravity of sub-region and distance between vectors made of center of gravity, and area of embedded white space. Experimental results show that the combination of the four-feature based classifiers increases the verification accuracy, particularly for the Chinese signature verification.
Cultural considerations in online instruction and learning

The increase in globalisation of distance education has revealed the existence of cultural discontinuities that affect learning effectiveness. The theoretical basis of such discontinuities is discussed in terms of the models of Vygotsky, Tharp, and Flowerdew and Miller. In addition, findings from the author's research involving West African extension students and print‐based instructional materials is also reported. The implications for instruction and research are discussed and intervention strategies are suggested.
Optimal design of digital audio parametric equalizer

The traditional design method of digital audio parametric equalizer often has spectrum aliasing between two adjacent sub-filters with closed center frequencies. A modified design method for digital parametric equalizer is proposed in this paper. A computer-aided design method is adopted to approach the desired amplitude-frequency responses based on minimum mean square error with the Fletcher-Powell method. The choice strategy of the initial values of the filter coefficients are discussed according to different conditions. Frequency control points is introduced to suppress aliasing due to filter cascade. Experimental results show that the proposed method can eliminate aliasing caused by filter cascade between two adjacent sub-filters.
Model for image sensing and digitization in machine vision

A mathematical model for a typical CCD camera system used in machine vision applications is presented. This model is useful in research and development of machine vision systems and in the computer simulation of camera systems. The model has been developed with the intention of using it to investigate algorithms for recovering depth from image blur. However the model is general and can be used to address other problems in machine vision. The model is based on a precise definition of input to the camera system. This definition decouple3 the photometric properties of a scene from the geometric properties of the scene in the input to the camera system. An ordered sequence of about 20 operations are defined which transform the camera system''s input to its output i. e. digital image data. Each operation in the sequence usually defines the effect of one component of the camera system on the input. This model underscores the complexity of the actual imaging process which is routinely underestimated and oversimplified in machine vision research.
A Method for Detecting Breaches and New Objects in Multiple Outdoor Images

This paper presents a new automated change detection method for detecting breaches in the integrity of and attached objects in front of fence wires in multiple outdoor images of the same scene containing fence wires acquired by a mobile camera from slightly different viewing positions, angles and at different times. To detect significant changes, edges of fence wires firstly have to be extracted from multiple outdoor images using a combination of the Sobel detector and an adaptive thresholding technique. Secondly, morphological operations such as dilation and erosion are applied into binary images produced by the previous process in enhancing the binary images. Next, an area-based algorithm is applied to enhanced binary images in separating small and big objects based on their average areas determined once in the calibration process. Finally, objects that survive are then fed into a fuzzy inference system in calculating their possibility values. Based on these possibility values, the survived objects can be classified as significant or unimportant changes. Experimental results demonstrate that the method has a high success rate (94.12%) in detecting true positives in these kinds of multiple outdoor images.
Mining of Multi-Relational Association Rules

Association rule mining is one of the most important and basic technique in data mining,which has been studied extensively and has a wide range of applications.However,as traditional data mining algorithms usually only focus on analyzing data organized in single table,applying these algorithms in multi-relational data environment will result in many problems.This paper summarizes these problems,proposes a framework for the mining of multi-relational association rule,and gives a definition of the mining task.After classifying the existing work into two categories,it describes the main techniques used in several typical algorithms,and it also makes comparison and analysis among them.Finally,it points out some issues unsolved and some future further research work in this area.
Software-based Solution for Analysis and Decoding of FSK-2 Modulated, Baudot-coded Signals

In the present-day scenario, digital communication has become predominant choice over analog communication worldwide. Digital modulation schemes form the main block of the digital communication. Among these, frequency shift keying (FSK-2) is a widely used technique employed for Baudot-coded english text transmission. A Baudot-coded-FSK-2 modulated signal was simulated corresponding to an english text file. A technique has been developed for its analysis and decoding in the MATLAB environment. This technique does the signal analysis, its parameter extraction, and then digital demodulation, to retrieve its corresponding composite bit-stream. An efficient method for edge detection using the number of zero-crossings has been devised and implemented successfully. From the composite bit-stream, overhead bits were removed and decoding was performed to get back the text output.
The Relationship between the Number of Students per Computer and Educational Outcomes

The purpose of this study was to determine if there is a relationship between the number of students per computer in schools and traditional educational outcomes. The educational outcomes of four comparable groups of school districts with different numbers of students per computer were compared. The analysis found no statistically significant differences among the mean reading/language arts, mathematics, science, and social studies achievement scores among the four groups of schools. Likewise, there were no differences among the mean attendance and high school dropout rates. This implies that the allocation of class time and resources to educational computing is not associated with a loss in traditional outcome measures while the students are accumulating computer experience and skills.