Miracle-dz/UniFAR-FTUs huggingface dataset:
Elementary Molecular Mechanisms of the Spontaneous Point Mutations in DNA: A Novel Quantum-Chemical Insight into the Classical Understanding

Ol'ha O. Brovarets‘1,2,3, Iryna M. Kolomiets‘1 and Dmytro M. Hovorun1,2,3 1Department of Molecular and Quantum Biophysics, Institute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kyiv, 2Research and Educational Center “State Key Laboratory of Molecular and Cell Biology“, Kyiv, 3Department of Molecular Biology, Biotechnology and Biophysics, Institute of High Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
An Investigation of Software Requirements Practices Among Software Practitioners : A Study in Jeddah

This paper presents the result of software requirements practices survey among software practitioners, a study in a city of Jeddah, Saudi Arabia. As software requirements are important and they lead to the successful of a software development project, it becomes interesting to investigate the current software requirements practices in the kingdom of Saudi Arabia. As an initial work, a survey was conducted in Jeddah as a study before we conduct it in the Kingdom of Saudi Arabia software industry. The survey is conducted by distributing a set of questionnaire to the software practitioners. There are 17 respondents completed the questionnaire out of 50 distributed questionnaire, which is 34% of response rate. The result of this survey is promising and it has shown that requirements management area should be focused for future improvement. In the future, the survey will focus on software engineering and requirements engineering practices over the entire Kingdom of Saudi Arabia software industry.
CEPIS, Council of European Professional Informatics Societies, is a non-profit organisation seeking to improve and promote high standards among informatics professionals in recognition of the impact that informatics

CEPIS, Council of European Professional Informatics Societies, is a non-profit organisation seeking to improve and promote high standards among informatics professionals in recognition of the impact that informatics has on employment, business and society. CEPIS unites 36 professional informatics societies over 32 European countries, representing more than 200,000 ICT professionals. UP GRADE is also published in Spanish (full issue printed, some articles online) by NOVÁTICA, and in Italian (abstracts and some articles online) by the Italian CEPIS society ALSI The opinions expressed by the authors are their exclusive responsibility. The members of the Editorial Team of UP GRADE describe the aims and scope of the network of journals of CEPIS member societies, whose contents will enrich ours and offer a broader European view of ICT to our readership. The guest editors introduce the monograph, that includes a series of papers that reflect the state of the art of UML (Unified Modeling Language). These papers illustrate different aspects of UML, ranging from use cases to UML formalization, meta-modelling, profile definition, model quality, model engineering and MDA (Model Driven Architecture.) 6 An Introduction to UML Profiles – Lidia Fuentes-Fernández and Antonio Vallecillo-Moreno This paper describes a set of steps to create a profile and argue the importance of profiles in MDA. 14 Aspect-Oriented Design with Theme/UML – Siobhán Clarke The author describes her approach " Theme " to extending the UML in order to support the modularisation of a designer's concerns, including crosscutting ones. This paper, authored by members of the OCL 2.0 team, gives an overview of the new aspects of the second version of this language and also provides a critical discussion of a few selected aspects of it. The problems of creating high-quality critical systems is analysed in this paper, that shows how using UML modelling can help solve them and presents a tool to support the proposed approach. In this paper some issues are addressed that regard the relationships in which use cases and actors may take part, presently defined in UML as associations. This paper offer a vision of the state of the art of metrics for measuring quality of some basic UML diagrams (such as class, state and use case diagrams) and OCL expressions. In their paper the authors use UML-F, a UML designed for describing frameworks, to present two techniques aimed at facilitating framework maintenance and evolution. The paper presents a method for integrating applications …
Geological Characteristics of Von Kármán Crater, Northwestern South Pole‐Aitken Basin: Chang'E‐4 Landing Site Region

Von Kármán crater (diameter = ~186 km), lying in the northwestern South Pole‐Aitken (SPA) basin, was formed in the pre‐Nectarian. The Von Kármán crater floor was subsequently flooded with one or several generations of mare basalts during the Imbrian period. Numerous subsequent impact craters in the surrounding region delivered ejecta to the floor, together forming a rich sample of the SPA basin and farside geologic history. We studied in details the targeted landing region (45.0–46.0°S, 176.4–178.8°E) of the 2018 Chinese lunar mission Chang'E‐4, within the Von Kármán crater. The topography of the landing region is generally flat at a baseline of ~60 m. Secondary craters and ejecta materials have covered most of the mare unit and can be traced back to at least four source craters (Finsen, Von Kármán L, Von Kármán L', and Antoniadi) based on preferential spatial orientations and crosscutting relationships. Extensive sinuous ridges and troughs are identified spatially related to Ba Jie crater (diameter = ~4 km). Reflectance spectral variations due to difference in both composition and physical properties are observed among the ejecta from various‐sized craters on the mare unit. The composition trends were used together with crater scaling relationships and estimates of regolith thickness to reconstruct the subsurface stratigraphy. The results reveal a complex geological history of the landing region and set the framework for the in situ measurements of the CE‐4 mission, which will provide unique insights into the compositions of farside mare basalt, SPA compositional zone including SPA compositional anomaly and Mg‐pyroxene annulus, regolith evolution, and the lunar space environment.
Biolistic Transfection of Organotypic Brain Slices and Dissociated Cells

The introduction of genetic material into cells and tissues of interest remains a rate-limiting step for molecular investigations in many fields, especially neurobiology. Many different methods have been developed to transfect cells—DNA-mediated gene transfer, microinjection, electroporation, lipofection, and viral transfection—and for many cell types, gene transfer using these methods has become a routine tool for studying gene regulation and function. However, many other cell types, particulary postmitotic neurons, have not been easily transfected by these methods.
Expression of Proteins Involved in Epithelial-Mesenchymal Transition as Predictors of Metastasis and Survival in Breast Cancer Patients

Abstract : The purpose of this research is to investigate protein expression and promoter region DNA methylation status of six genes involved in epithelial-mesenchymal transition in relation to breast cancer lymph node metastasis, recurrence, and survival. Breast tumor tissue has been retrospectively identified from the Pathology Resource and immunohistochemical staining for all proteins has been completed. Scoring and analysis of IHC assays is ongoing. FFPE tissue cores for a subset of the IHC-stained tissues have been procured for isolation of DNA and methylation assay.
Generating Informative Responses with Controlled Sentence Function

Sentence function is a significant factor to achieve the purpose of the speaker, which, however, has not been touched in large-scale conversation generation so far. In this paper, we present a model to generate informative responses with controlled sentence function. Our model utilizes a continuous latent variable to capture various word patterns that realize the expected sentence function, and introduces a type controller to deal with the compatibility of controlling sentence function and generating informative content. Conditioned on the latent variable, the type controller determines the type (i.e., function-related, topic, and ordinary word) of a word to be generated at each decoding position. Experiments show that our model outperforms state-of-the-art baselines, and it has the ability to generate responses with both controlled sentence function and informative content.
The Relati onship between Cogniti ve Intelligence, Emoti onal Intelligence, Coping and Stress Symptoms in the context of Type A Personality Patt ern

Results: Our analyses showed that stress symptoms were negatively correlated with effective coping, stress management, and general mood dimensions of the Emotional Intelligence Questionnaire. They were also positively correlated with ineffective coping and Type A behaviors. Being female also significantly predicted stress symptoms. When the participants were grouped according to Type A Personality Scale scores as Type As and Type Bs, the regression analysis showed that the stress symptoms of Type As were significantly predicted by the insufficient use of effective coping styles and deficiencies in the general mood component of emotional intelligence, whereas the stress symptoms of Type Bs were predicted by the insufficient use of effective coping styles, overuse of ineffective coping styles, and increase in the intrapersonal abilities component of emotional intelligence.
Mathematics Teachers' Professional Development Program - Needs and Expectations

This paper presents the major findings and recommendations from a formative evaluation of the first of a 2-year in-service training program. This program was designed for the professional development of math teachers. It was developed following an educational reform, which was meant to enhance the teachers' ability to generate changes in their teaching methods and implement them in class.
Evaluation of Urban Vehicle Routing Algorithms

In this paper, we focus on a typical CPS application, i.e., vehicle route navigation. Two fundamental problems are examined: 1) How different are various vehicle routing algorithms? 2) How valuable is real-time traffic information or historical traffic information in helping vehicle routing? Different from most previous works based on random walk model, we presented performance comparisons of four routing algorithms using real GPS sensory data from 4000 taxis. It shows that real-time traffic information could substantially improve the quality of vehicle path routing. Through our evaluation, we found that the paths selected by taxi drivers are usually not as good as expected. More importantly, utilizing real-time information could improve global transportation efficiency in terms of dispersing/managing traffic, which plays a key role in constructing an effective vehicular CPS.
Effect of compressibility on the small-scale structures in isotropic turbulence

Abstract Using a simulated highly compressible isotropic turbulence field with turbulent Mach number around 1.0, we studied the effects of local compressibility on the statistical properties and structures of velocity gradients in order to assess salient small-scale features pertaining to highly compressible turbulence against existing theories for incompressible turbulence. A variety of statistics and local flow structures conditioned on the local dilatation – a measure of local flow compressibility – are studied. The overall enstrophy production is found to be enhanced by compression motions and suppressed by expansion motions. It is further revealed that most of the enstrophy production is generated along the directions tangential to the local density isosurface in both compression and expansion regions. The dilatational contribution to enstrophy production is isotropic and dominant in highly compressible regions. The emphasis is then directed to the complicated properties of the enstrophy production by the deviatoric strain rate at various dilatation levels. In the overall flow field, the most probable eigenvalue ratio for the strain rate tensor is found to be −3:1:2.5, quantitatively different from the preferred eigenvalue ratio of −4:1:3 reported in incompressible turbulence. Furthermore, the strain rate eigenvalue ratio tends to be −1:0:0 in high compression regions, implying the dominance of sheet-like structures. The joint probability distribution function of the invariants for the deviatoric velocity gradient tensor is used to characterize local flow structures conditioned on the local dilatation as well as the distribution of enstrophy production within these flow structures. We demonstrate that strong local compression motions enhance the enstrophy production by vortex stretching, while strong local expansion motions suppress enstrophy production by vortex stretching. Despite these complications, most statistical properties associated with the solenoidal component of the velocity field are found to be very similar to those in incompressible turbulence, and are insensitive to the change of local dilatation. Therefore, a good understanding of dynamics of the compressive component of the velocity field is key to an overall accurate description of highly compressible turbulence.
High-Dimensional Indexing for Video Retrieval

The video retrieval task raises many fundamental questions in computer vision and information retrieval, such as how to represent video items, what information can be directly extracted from them, and how to explore such information in order to satisfy the user’s information need. Video items are intrinsically complex, and the analysis of their content requires heavy computing processes. Excepting the case of text, multimedia content analysis does not result in the high-level concepts required by the generality of the search tasks. This brings about the so-called “semantic gap”, clearly identified as the main issue in multimedia retrieval Gudivada & Raghavan (1995); Smith (2007). Text communication is based on concepts, expressed in the user’s language and close to the way humans think. Searching text items may require a number of processing techniques like pattern matching, stemming, finding synonyms, translating, natural language analysis. Supposing that the user expresses his information need through words, the set of retrieved documents includes those containing precise or imprecise word matches and can be continuously enlarged to more and more semantically related documents. In the case of a video repository, however, there is not such a clear semantic channel between the object’s content and the user information need. The automatic video analysis may produce many descriptors related to the contents, the so-called low-level descriptors Bober (Jun 2001); Manjunath et al. (2001); Mufit Ferman et al. (2000), but hardly produces accurate descriptions close enough to human concepts Snoek & Smeulders (2010); Tesic & Smith (2006). This is a problem for a wide range of video-based applications, other than search and retrieval, such as human-computer interface, security and surveillance, copyright protection, and personal entertainment.
Development and validation of solution-adaptive, parallel schemes for compressible plasmas

Techniques that have become common in aerodynamics codes have recently begun to be implemented in space-physic codes, which solve the governing equations for a compressible plasma. These techniques include high-resolution upwind schemes, block-based solution-adaptive grids and domain decomposition for parallelization. While some of these techniques carry over relatively straightforwardly from aerodynamics to space physics, space physics simulations pose some new challenges. This paper gives a brief review of the state-of-the-art in modern space-physics codes, including a validation study of several of the techniques in common use. A remaining challenge is that of flows that include regions in which relativistic effects are important; some background and preliminary re* Professor, Aerospace Engineering, AIAA Senior Member ^Visiting Research Scientist II, Atmospheric, Oceanic and Space Sciences •'•Associate Research Scientist, Atmospheric, Oceanic and Space Sciences, AIAA Member § Professor, Aerospace Engineering, AIAA Fellow ^Professor, Atmospheric, Oceanic and Space Sciences, AIAA Fellow "Professor, Electrical Engineering and Computer Science Copyright ©2001 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. suits for these problems are given.
INDUCTION OF CADMIUM STRESS TOLERANCE IN TRITICUM AESTIVUM L . BY ALFALFA LEAF EXTRACT

To assess the effect of foliar applications of alfalfa (Medicago sativa L.) leaf extract on three wheat (Triticum aestivum L.) varieties (Punjab-2011, Millat-2011 and Galaxy-2013) under cadmium (Cd) stress, two-week-old wheat plants were subjected to three levels of Cd (i.e. 0, 0.5 and 1.0 mM) stress and then foliarly applied with alfalfa leaf extract (0 and 2 % w/v). Data for 16-week-old wheat plants were collected for growth and physiochemical parameters, while yield were obtained at maturity. Cadmium stress significantly decreased growth, chlorophyll (chl.) a, flavonoids, total free amino acids, total soluble sugars and relative water contents (RWC %), while increased chl. b, relative membrane permeability (RMP %), malondialdehyde (MDA), total phenolics and free proline contents. Foliar treatment with alfalfa leaf extract (2%) significantly increased growth, yield, leaf ascorbic acid, free proline and total soluble sugars, while decreased RMP (%) (in Punjab-2011 and Galaxy-2013), flavonoids and H2O2 contents in all wheat varieties under cadmium stress. Wheat varieties showed significant difference as var. Punjab-2011 excelled in all measured attributes except RMP (%), MDA and activity of POD, however, negative effect of cadmium stress was more prominent in var. Punjab-2011 than Millat-2011
Chemically Tuning Mechanics of Graphene by BN

With finite bandgaps, g‐BNC, a boron nitride monolayer (g‐BN) phase within a graphene layer, is a promising semiconductor for next generation electronics. We report its mechanics dependence of the g‐BN concentration, including the high order elastic constants and mechanical failure, through a first‐principles study based on density functional theory. The in‐plane stiffness as well as third order elastic constants of graphene can be linearly tuned with g‐BN concentration. The longitudinal mode elastic constants are sensitive to the BN modification, in contrast to the shear mode elastic constants. This study may provide guidance in optimizing the mechanics of graphene‐based nanodevices.
Chronic disorganization, self-efficacy, and coping as predictors of depressive symptoms in women

This study examined the relationships among disorganization, self-efficacy, and coping as predictors of depressive symptoms in women. Chronic disorganization (CD) is a particularly interesting area to examine because of its wide-spread impact on people (which can be seen by the existing number of professional organizers, their even larger number of clients, and mediarelated stories covering this subject). CD is also interesting to study because no one has empirically studied it before. What that means is that no one has previously conducted research on this topic in a way that is valid and reliable. That is, until now.
SAND: Towards High-Performance Serverless Computing

Serverless computing has emerged as a new cloud computing paradigm, where an application consists of individual functions that can be separately managed and executed. However, existing serverless platforms normally isolate and execute functions in separate containers, and do not exploit the interactions among functions for performance. These practices lead to high startup delays for function executions and inefﬁcient resource usage. This paper presents SAND , a new serverless computing system that provides lower latency, better resource efﬁ-ciency and more elasticity than existing serverless platforms. To achieve these properties, SAND introduces two key techniques: 1) application-level sandboxing, and 2) a hierarchical message bus. We have implemented and deployed a complete SAND system. Our results show that SAND outperforms the state-of-the-art serverless platforms signiﬁcantly. For example, in a commonly-used image processing application, SAND achieves a 43% speedup compared to Apache OpenWhisk.
Energy and Memory Efficient Data Loss Prevention in Wireless Sensor Networks

Load balancing, energy efficiency and fault tolerance are among the most important data dissemination issues in Wireless Sensor Networks (WSNs). In order to successfully cope with the mentioned issues, two main approaches (namely, Data-centric Storage and Distributed Data Storage) have been proposed in the literature. Both approaches suffer from data loss due to memory and/or energy depletion in the storage nodes. Even though several techniques have been proposed so far to overcome the mentioned problems, the proposed solutions typically focus on one issue at a time. In this paper, we integrate the Data-centric Storage (DCS) features into Distributed Data Storage (DDS) mechanisms and present a novel approach, denoted as Collaborative Memory and Energy Management (CoMEM), to overcome both problems and bring memory and energy efficiency to the data loss mechanism of WSNs. We also propose analytical and simulation frameworks for performance evaluation. Our results show that the proposed method outperforms existing approaches in various WSN scenarios.
GRADIENT BOOST ENSEMBLE CLASSIFIER FOR UNSTRUCTURED MULTIMEDIA INFORMATION RETRIEVAL

Retrieval of videos from large database using video queries plays a significant role for a lot of applications. Few researches works have been designed for retrieving relevant videos from large database using classification techniques. But, the classification performance of was not effectual for achieving higher precision and recall for video retrieval. In order to solve this limitation, Gradient Boost Ensemble Classification (GBEC) technique is proposed. The GBEC technique at first takes video query as input. Then, GBEC technique used Independent Component Analysis Model in order to extracts the visual features such as shape, color, texture in videos for efficient classification. After visual features extraction, GBEC technique applied Gradient Boost Ensemble Classifier in order to classify the videos in a given dataset as similar or dissimilar based on video query which resulting enhanced classification accuracy. Finally, the classified similar videos’ are retrieved based on video query which in turn helps for increasing precision and recall of video retrieval with minimum time. The performance of GBEC technique is measured in terms of metrics such as classification accuracy, time complexity, Precision and recall with aid of three datasets as compared to state-of-the-art works.