Exploring the Characteristics of Data Breaches: A Descriptive Analytic Study

Data breaches have massive consequences for companies, affecting them financially and undermining their reputation, which poses significant challenges to online security and the long-term viability of businesses. This study analyzes trends in data breaches in the United States, examining the frequency, causes, and magnitude of breaches across various industries. We document that data breaches are increasing, with hacking emerging as the leading cause. Our descriptive analyses explore factors influencing breaches, including security vulnerabilities, human error, and malicious attacks. The findings provide policymakers and businesses with actionable insights to bolster data security through proactive audits, patching, encryption, and response planning. By better understanding breach patterns and risk factors, organizations can take targeted steps to enhance protections and mitigate the potential damage of future incidents.

A Descriptive Translation Study of Chinese Translation of French Musical Roméo et Juliette

This paper presents a Descriptive Translation Study(DTS)analysis of the Chinese translation of the French musical adaptation of Romeo and Juliet,titled Roméo et Juliette:de la Haineàl’Amour.Romeo and Juliet,a timeless play by Shakespeare,has captivated audiences since its premiere in 1597 and has been adapted into various forms,including stage productions,films,musicals,and operas.The focus of this study is to analyze the Chinese translation of the French musical adaptation from a DTS perspective.DTS is an approach that aims to understand the translation process and its reception in the target culture.By examining language choices,cultural references,and adaptation strategies,this study seeks to shed light on how the Chinese translation of the French musical functions within the target culture and influences the reception and interpretation of the source text.This analysis is expected to gain insights into the challenges and strategies employed in translating a musical adaptation of Romeo and Juliet into Chinese.The findings of this study will contribute to the field of translation studies and provide a deeper understanding of the complexities involved in the translation of musical works.

Improving the Effectiveness of Image Classification Structural Methods by Compressing the Description According to the Information Content Criterion

The research aims to improve the performance of image recognition methods based on a description in the form of a set of keypoint descriptors.The main focus is on increasing the speed of establishing the relevance of object and etalon descriptions while maintaining the required level of classification efficiency.The class to be recognized is represented by an infinite set of images obtained from the etalon by applying arbitrary geometric transformations.It is proposed to reduce the descriptions for the etalon database by selecting the most significant descriptor components according to the information content criterion.The informativeness of an etalon descriptor is estimated by the difference of the closest distances to its own and other descriptions.The developed method determines the relevance of the full description of the recognized object with the reduced description of the etalons.Several practical models of the classifier with different options for establishing the correspondence between object descriptors and etalons are considered.The results of the experimental modeling of the proposed methods for a database including images of museum jewelry are presented.The test sample is formed as a set of images from the etalon database and out of the database with the application of geometric transformations of scale and rotation in the field of view.The practical problems of determining the threshold for the number of votes,based on which a classification decision is made,have been researched.Modeling has revealed the practical possibility of tenfold reducing descriptions with full preservation of classification accuracy.Reducing the descriptions by twenty times in the experiment leads to slightly decreased accuracy.The speed of the analysis increases in proportion to the degree of reduction.The use of reduction by the informativeness criterion confirmed the possibility of obtaining the most significant subset of features for classification,which guarantees a decent level of accuracy.

Method for detector description conversion from DD4hep to Filmbox

DD4hep serves as a generic detector description toolkit recommended for offline software development in next-generation high-energy physics(HEP)experiments.Conversely,Filmbox(FBX)stands out as a widely used 3D modeling file format within the 3D software industry.In this paper,we introduce a novel method that can automatically convert complex HEP detector geometries from DD4hep description into 3D models in the FBX format.The feasibility of this method was dem-onstrated by its application to the DD4hep description of the Compact Linear Collider detector and several sub-detectors of the super Tau-Charm facility and circular electron-positron collider experiments.The automatic DD4hep–FBX detector conversion interface provides convenience for further development of applications,such as detector design,simulation,visualization,data monitoring,and outreach,in HEP experiments.

Enhancing Image Description Generation through Deep Reinforcement Learning:Fusing Multiple Visual Features and Reward Mechanisms

Image description task is the intersection of computer vision and natural language processing,and it has important prospects,including helping computers understand images and obtaining information for the visually impaired.This study presents an innovative approach employing deep reinforcement learning to enhance the accuracy of natural language descriptions of images.Our method focuses on refining the reward function in deep reinforcement learning,facilitating the generation of precise descriptions by aligning visual and textual features more closely.Our approach comprises three key architectures.Firstly,it utilizes Residual Network 101(ResNet-101)and Faster Region-based Convolutional Neural Network(Faster R-CNN)to extract average and local image features,respectively,followed by the implementation of a dual attention mechanism for intricate feature fusion.Secondly,the Transformer model is engaged to derive contextual semantic features from textual data.Finally,the generation of descriptive text is executed through a two-layer long short-term memory network(LSTM),directed by the value and reward functions.Compared with the image description method that relies on deep learning,the score of Bilingual Evaluation Understudy(BLEU-1)is 0.762,which is 1.6%higher,and the score of BLEU-4 is 0.299.Consensus-based Image Description Evaluation(CIDEr)scored 0.998,Recall-Oriented Understudy for Gisting Evaluation(ROUGE)scored 0.552,the latter improved by 0.36%.These results not only attest to the viability of our approach but also highlight its superiority in the realm of image description.Future research can explore the integration of our method with other artificial intelligence(AI)domains,such as emotional AI,to create more nuanced and context-aware systems.

Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model

Hot deformation is a commonly employed processing technique to enhance the ductility and workability of Mg alloy.However,the hot deformation of Mg alloy is highly sensitive to factors such as temperature,strain rate,and strain,leading to complex flow behavior and an exceptionally narrow processing window for Mg alloy.To overcome the shortcomings of the conventional Arrhenius-type(AT)model,this study developed machine learning-based Arrhenius-type(ML-AT)models by combining the genetic algorithm(GA),particle swarm optimization(PSO),and artificial neural network(ANN).Results indicated that when describing the flow behavior of the AQ80 alloy,the PSO-ANN-AT model demonstrates the most prominent prediction accuracy and generalization ability among all ML-AT and AT models.Moreover,an activation energy-processing(AEP)map was established using the reconstructed flow stress and activation energy fields based on the PSO-ANN-AT model.Experimental validations revealed that this AEP map exhibits superior predictive capability for microstructure evolution compared to the one established by the traditional interpolation methods,ultimately contributing to the precise determination of the optimum processing window.These findings provide fresh insights into the accurate constitutive description and workability characterization of Mg alloy during hot deformation.

Enhancing Cross-Lingual Image Description: A Multimodal Approach for Semantic Relevance and Stylistic Alignment

Cross-lingual image description,the task of generating image captions in a target language from images and descriptions in a source language,is addressed in this study through a novel approach that combines neural network models and semantic matching techniques.Experiments conducted on the Flickr8k and AraImg2k benchmark datasets,featuring images and descriptions in English and Arabic,showcase remarkable performance improvements over state-of-the-art methods.Our model,equipped with the Image&Cross-Language Semantic Matching module and the Target Language Domain Evaluation module,significantly enhances the semantic relevance of generated image descriptions.For English-to-Arabic and Arabic-to-English cross-language image descriptions,our approach achieves a CIDEr score for English and Arabic of 87.9%and 81.7%,respectively,emphasizing the substantial contributions of our methodology.Comparative analyses with previous works further affirm the superior performance of our approach,and visual results underscore that our model generates image captions that are both semantically accurate and stylistically consistent with the target language.In summary,this study advances the field of cross-lingual image description,offering an effective solution for generating image captions across languages,with the potential to impact multilingual communication and accessibility.Future research directions include expanding to more languages and incorporating diverse visual and textual data sources.

Unified Description of the Three Stable Particles in Self-Action Allows Determination of Their Relative Masses

The Dirac equation γμ(δμ-eAμ)Ψ=mc2Ψ describes the bound states of the electron under the action of external potentials, Aμ. We assumed that the fundamental form of the Dirac equation γμ(δμ-Sμ)Ψ=0 should describe the stable particles (the electron, the proton and the dark-matter-particle (dmp)) bound to themselves under the action of their own potentials Sμ. The new equation reveals that self energy is consequence of self action, it also reveals that the spin angular momentum is consequence of the dynamic structure of the stable particles. The quantitative results are the determination of their relative masses as well as the determination of the electromagnetic coupling constant.

The Translation Strategies of Chinese Dish Names on Descriptive Translation Studies

It is well-known that Chinese dish names concentrate on the essence of traditional Chinese culture,reflecting the collective wisdom of Chinese nation.In recent years,good and awkward translation of Chinese dish names coexist with each other,which has a negative influence on Chinese image.Nowadays many people have begun to center on and study the English translation of Chinese dishes names.Descriptive translation is a clear answer to it.

Study on the Post-evaluation of Environmental Planning Based on Logical Framework Approach

[Objective] The aim was to conduct post-evaluation on environmental planning by means of logical framework approach. [Method] Taking environmental planning during '11th Five-year Plan' in a certain province for example, by means of logical framework approach (LFA), the post-evaluation on environmental planning was carried out from the aspects of evaluation content, index system, implementation steps, evaluation feedback and input-output analysis of environmental planning. [Result] The post-evaluation on environmental planning by means of LFA achieved expected purpose and various indexes at different stages of environmental planning was assessed, and then corresponding countermeasures were put forward according to the problems which were found by problem tree of environmental planning project. [Conclusion] The study could provide theoretical references for the post-evaluation on environmental planning in future.

English Grammar Comparison:Descriptive Grammar vs.Prescriptive Grammar

English grammar is thought as one of the most important parts in both language learning and teaching. While few people know there is more than one kind of English grammar. This essay provides the features and comparison between two commonly used English grammar, namely descriptive grammar and prescriptive grammar, and assist English teachers to explore further in grammar teaching.

Geometric Computing Based on Computerized Descriptive Geometric

Computer-aided Design （CAD）, video games and other computer graphic related technology evolves substantial processing to geometric elements. A novel geometric computing method is proposed with the integration of descriptive geometry, math and computer algorithm. Firstly, geometric elements in general position are transformed to a special position in new coordinate system. Then a 3D problem is projected to new coordinate planes. Finally, according to 2D/3D correspondence principle in descriptive geometry, the solution is constructed computerized drawing process with ruler and compasses. In order to make this method a regular operation, a two-level pattern is established. Basic Layer is a set algebraic packaged function including about ten Primary Geometric Functions （PGF） and one projection transformation. In Application Layer, a proper coordinate is established and a sequence of PGFs is sought for to get the final results. Examples illustrate the advantages of our method on dimension reduction, regulatory and visual computing and robustness.

The Review of Descriptive Norms in Translation Studies

The studies on descriptive norms in translation studies are of great significance because they spread the domain of norms and begin to consider the impact of the outside community so that they lead the study to a new field.Descriptive norms are discussed and studied systemically mainly by three scholars:Toury,Hermans,and Chesterman.The purpose of this article is to review this concept and try to point out some merits and demerits of their theory.

STATISTICAL TESTS FOR THE COMPARISON OF THE INCIDENCE OR MORTALITY RATES IN CANCER REGISTRY AND DESCRIPTIVE EPIDEMIOLOGY──A MICROCOMPUTER PROGRAM IN BASIC

This paper describes the statistical methods of the comparison of the incidence or mortality rates in cancer registry and descriptive epidemiology, and the features of microcomputer program (CANTEST) which was designed to perform the methods. The program was written in IBM BASIC language. Using the program CANTEST we presented here the user can do several statistical tests or estimations as follow: 1. the comparison of the adjusted rates which were calculated by directly or indirectly standardized methods, 2. the calculation of the slope of regression line for testing the linear trends of the adjusted rates, 3. the estimation of the 95% or 99%conndence intervals of the directly adjusted rates, of the cumulative rates (0-64 and 0-74), and of the cumulative risk. Several examples are presented for testing the performances of the program.

Rapid Descriptive Consumer Analysis Using Simultaneous and Monadic Sample Presentation for Coffee

The objective of this study was to investigate how rapid descriptive consumer analysis using simultaneous presentation of samples compared with monadic presentation of samples, using both affective and descriptive sensory evaluation methods. Simultaneous presentation of coffee samples for sensory acceptance testing, using ranking analysis, was conducted using na?ve assessors. In a separate session, assessors evaluated the same coffee samples, using monadic presentation and employing the same scales. Similarly, descriptive consumer analysis, using simultaneous and monadic sample presentation, was conducted using descriptive attributes chosen by the panel. For RDA (Ranking descriptive analysis), coffee samples were presented simultaneously (randomised) to assessors and subsequently ranked. The process was then repeated using the same assessors;however, samples were presented in monadic and randomised presentation order. Data accumulated from the study were analysed by Analysis of Variance (APLSR-ANOVA Partial Least Squares Regression). Results obtained indicate that simultaneous presentation of samples was more effective than monadic presentation, as a larger amount of attributes with significant (P < 0.05) intensity differences were observed using RDA. Thus, simultaneous presentation of samples also allows ranking in SAT evaluation and proved a useful tool in establishing the hedonic attributes of products. We propose to call this method Ranking Acceptance Analysis (RAA).

Descriptive Epidemiology of Multidrug Resistance Tuberculosis (MDR-TB) in Bangladesh

Background: The number of reported MDR-TB cases has been increasing in recent years. Objectives: To describe the epidemiological profile of MDR-TB cases in Bangladesh. Design: This was a descriptive cross-sectional study. Settings: The study was conducted among the multi drug resistant tuberculosis patient admitted in the National Institute of Diseases of the Chest and Hospital (NIDCH) Dhaka, Bangladesh. Samples: 148 confirmed cases of MDR-TB. Materials and Methods: Hospital admitted MRD-TB cases were randomly chosen from the above mentioned hospital. Semi-structured and pretested questionnaire were introduced by researcher. Clinical and treatment data i.e. duration of TB drug intake, report of sputum, X-ray and blood test etc. were extracted from the hospital record. Results: Study found, majority of the participants (56.1%) were in the age group of 16 - 30 years. 64.2% of the study subjects were married. Majority of the participants education were whether under primary or primary level. 24.3% participant’s family member and 14.5% of neighbor were having TB. Most common comorbidity were diabetes, pulmonary infection, hearing loss, psychiatric symptoms, chest pain, joint pain etc. 63.5% respondent had high degree of AFB for sputum positivity and more than 98% had positive finding in X-ray chest. On an average ESR was low and also few cases of extremely low ESR were found. 71.6% were under twenty four months regimen. Conclusion: We can conclude that, many possible factors for MDR-TB. There is an urgent need for further study to confirm the exact factors in Bangladesh and address those immediately.

A Case Report and a Descriptive Retrospective Study of Cases of Inferior Vena Cava Thrombosis Diagnosed over a 10-Year Period in a Third Level Hospital

Inferior vena cava thrombosis is an under-recognized entity associated with significant morbidity and mortality. This is the reason why, although the diagnosis is challenging, a high index of suspicion is required. Regarding this condition, we present the case of a 63-year-old man who had repeatedly visited the emergency room suffering from abdominal and back pain and painful lower limb edema. After several tests, including magnetic resonance imaging (MRI), he was diagnosed to have agenesis of left renal vein and inferior vena cava thrombosis, from hypercoagulable state secondary to Antiphospholipid Syndrome. He had anticoagulation treatment with low-molecular-weight heparin with good subsequent evolution. This study sets out a descriptive retrospective study of fifty cases of inferior vena cava thrombosis diagnosed in a third-level hospital in the north of Spain over a ten-year period (2010-2018). The aim of this article is to identify the epidemiology, predisposing factors and symptoms that characterize this entity, in order to be able to achieve an early diagnosis that allows us to initiate immediate treatment, minimizing acute and chronic complications of this disease.

Empirical Evidence for a Descriptive Model of Principles of Information Security Course

The purpose of this study is to examine the nature and content of the rapidly evolving undergraduate Principles of Information/Cybersecurity course which has been attracting an ever-growing attention in the computing discipline, for the past decade. More specifically, it is to provide an impetus for the design of standardized principles of Information/Cybersecurity course. To achieve this, a survey of colleges and universities that offer the course was conducted. Several schools of engineering and business, in universities and colleges across several countries were surveyed to generate necessary data. Effort was made to direct the questionnaire only to Computer Information System (CIS), Computer Science (CS), Management Information System (MIS), Information System (IS) and other computer-related departments. The study instrument consisted of two main parts: one part addressed the institutional demographic information, while the other focused on the relevant elements of the course. There are sixty-two (62) questionnaire items covering areas such as demographics, perception of the course, course content and coverage, teaching preferences, method of delivery and course technology deployed, assigned textbooks and associated resources, learner support, course assessments, as well as the licensure-based certifications. Several themes emerged from the data analysis: (a) the principles course is an integral part of most cybersecurity programs;(b) majority of the courses examined, stress both strong technical and hands-on skills;(c) encourage vendor-neutral certifications as a course exit characteristic;and (d) an end-of-course class project, remains a standard requirement for successful course completion. Overall, the study makes it clear that cybersecurity is a multilateral discipline, and refuses to be confined by context and content. It is envisaged that the results of this study would turn out to be instructive for all practical purposes. We expect it to be one of the most definitive descriptive models of such a cardinal course, and help to guide and actually, shape the decisions of universities and academic programs focusing on information/cyber security in the updating and upgrading their curricula, most especially, the foundational principles course in light of new findings that are herein articulated.

A Pseudo Random Number Generator under Windows Using Refined Descriptive Sampling

In this paper, we propose a software component under Windows that generates pseudo random numbers using RDS （Refined Descriptive Sampling） as required by the simulation. RDS is regarded as the best sampling method as shown in the literature. In order to validate the proposed component, its implementation is proposed on approximating integrals. The simulation results from RDS using ＂RDSRnd＂ generator were compared to those obtained using the generator ＂Rnd＂ included in the Pascal programming language under Windows. The best results are given by the proposed software component.

Significance of Traditional Descriptive Geometry in Teaching and Learning Graphic Science

Graphic science is the subject which teaches geometry and graphics, and is taught in early undergraduate curricula at many Japanese universities as a liberal arts subject or as a basic subject for design and drawing. In traditional graphic science courses, de-scriptive geometry based on hand drawings was taught. However, in recent years, there continues to be a rapid spread in the use of 3D-CAD in the field of engineering design and drawing, and there is also increasing use of CG in many fields such as for visualiza-tion of computer simulation results in science, and for image display in the movie and game entertainment fields. So there is a need for graphic presentation education including the competence in the use of 3D-CAD/CG, or ＂graphics literacy （or visual literacy） education＂ for a wide range of students. In order to realize graphics literacy education, from 2007, a new graphic science curriculum has been started at the College of Arts and Sciences of the University of Tokyo. The main part of the curriculum consists of Graphic Science I and Graphic Science II. With Graphic Science I, as before, traditional descriptive geometry is taught with hand drawing as the base. With Graphic Science II, commercial graphic processing software can be experienced. In this course, by introducing geo- metric problems as examples and assignments, it is designed to mutually complement with descriptive geometry education （Graphic Science I）. With the spread of 3D-CAD/CG, some people say that there is no longer any need for descriptive geometry, but for the following reasons, it has been decided to teach descriptive geometry. 1） Traditional descriptive geometry is an excellent method in teaching and learning geometry of projection and of three-dimensional objects, and concepts and/or procedures in descriptive geome-try can be applied in solving geometric design problems by the use of 3D-CAD/CG. 2） Even in this age of 3D-CAD/CG, hand draw-ing is still being used （especially for free-hand sketches）. 3） Hand drawing is an effective method of developing spatial ability of students. However, with the spread of 3D-CAD/CG, the descriptive geometry techniques in analyzing shapes and forms of three-dimensional objects are now loosing their earlier practical importance. So emphasis is not being placed on the education of practical techniques, but is being placed on teaching the theory behind the techniques, i.e., geometry of projection and of three-dimensional objects. This paper reports specific examples of classes in order to describe the importance of descriptive geometry education, and the need to switch from education focused on techniques to education on the theory behind the techniques.