Reviewerly/exHarmony huggingface dataset:
Digitala integritetskränkningar - En straffrättslig frizon? - Om olaga integritetsintrång och förtal i dess tillämpning på spridandet av deepfakes

The protection of personal integrity has faced new challenges since the rise of social media. Particularly in the dissemination of privacy infringement, which is largely facilitated by today’s technology. A new problem has arisen in connection with the development of technology, so-called deepfakes. The online phenomenon of deepfakes is relatively new and implies a still or moving image that has been manipulated with the help of artificial intelligence, for example by changing a person’s face and body. As early as 1992, the Supreme Court pointed out that there is a lack of protection for the personal integrity within Swedish legislation. After a comprehensive investigation, a new criminal provision was implemented in 2018, the regulation on unlawful violation of integrity whose purpose would be to cover all cases of dissemination of images with a sexual nature. This essay aims to examine if the regulation on unlawful violation of integrity and defamation can be applied on dissemination of deepfakes. Furthermore, the purpose of this essay is to examine if the personal integrity as a conception, is constructed in an adequate way, seen in the light of the fact that the dissemination of privacy-infringing data is greatly facilitated by today’s technology.Based on case law, operative regulation and legislative history, this essay focuses on whether the criminal justice protection is sufficiently adjusted to today’s technology and communication platforms. Through an interpretation of case law in the field, it appears that there are acts which are of an infringing nature – but which are not covered by the wording of the criminal regulation in practise. As a solution to the grey area that appears to exist within the field, it is suggested that any requirement that the portrayed person can be identifiable should not reasonably be considered when it comes to criminal regulations that intends to protect the personal integrity. The identification problem should be considered with the question of whether the damage that has occurred is perceived as, depending on how grave it is instead. Even though some of today’s indicative cases from the Supreme Court are over 20 years old, it is not entirely clear how they might be applied to attacks on the personal integrity in this age of modern technology.The principle of legality sets a limit on how widely-conducted the courts can interpret the criminal regulations. Furthermore, the legislator has not chosen to give a generally valid definition of what is covered by the personal integrity. On the grounds that new interests which, due to development in the society, are considered worthy of protection, should be joined to the concept as a result of new regulation. Given that today’s technology enables new attacks on the personal integrity, it would be desirable for a new investigation to highlight the interests that have a particular protective value and should be covered by protection against unjustified interference.
Research on the Reform and Innovation of College English Teaching under the Background of New Media

The 21st century is an era of rapid development of science and technology. As a product of technological development, the Internet has been integrated into every corner of Chinese college life. At the same time, the way Chinese universities obtain information has also undergone great changes. Traditional media has gradually been caught up and surpassed by new media, and people's access to information has gradually evolved toward new media. From the perspective of learning, the learning style of college students has also been affected by the rapid rise of new media. Taking college English teaching as an example, this paper will combine the problems in college English teaching under the new media environment, briefly discuss the causes of the problems and put forward some suggestions on improving the efficiency of English teaching.
HUBUNGAN PENGUASAAN KALIMAT EFEKTIF DAN KECERDASAN INTERPERSONAL DENGAN KETERAMPILAN MENULIS TEKS PERSUASI SISWA KELAS VIII SMPN 26 KOTA TANGERANG

This study aims to determine information whether or not relationship between effective sentence mastery and interpersonal intelligence together with writing skills of persuasive text of VIIIth grade of SMP 26 Kota Tangerang. This research includes the type of quantitative correlation research. The population are 306 students and sample are 60 students. The first requirement test result, the data normality test obtained the level of significance for the variable X1, X2, and Y the data comes from a population of the normal distribution, at a significant level of 0.05. The second prerequisite test is the linearity test (X1) with (Y) of 0.300, (X2) with (Y) is 0.954. From the calculation of multicollinearity test obtained tolerance of variables X1 and X2 that is 0.654 greater than 0.10. Meanwhile, VIF (Variance Inflation Factor) values of variables X1 and X2 are smaller than 10.00. So it can be concluded not to happen multicollinarity. The results of analysis show that (1) there is a significant relation between effective sentence mastery with writing skill of persuasive text of r hitung (0.607) > r table (0.254) at the 0.05 correlation coefficient tested its significance by looking at price t, where t hitung (8.513) > of t table (2.002); (2) there is significant relatio between interpersonal intelligence with writing skill of and persuasive text, of r hitung (0.498) > r table (0.254) at the 0.05 significance level, correlation coefficient is tested its significance by looking price t, where t hitung (4.376) > t tabel (2,002); (3) there is a significant correlation between mastery of effective sentence and interpersonal intelligence together with writing skill of persuasive text (1,2) equal to 0.640, significant correlation coefficient with F-test obtained F hitung = 19.762 at the real level 0.05 with df numerator 2 and df denominator 57 obtained F table at 3.16 then F hitung > F table . The result of the study indicate that effective sentence mastery contributes significantly to the results of writing skills of persuasive is 36.8%, interpersonal intelligence is 24.8%, while effective sentence mastery and interpersonal intelligence together can influence 40.9% changes in writing skills of persuasive (Y) which means better together.
Hydrocarbon anomalies using airborne gamma radiation over the unconventional petroleum system of the South Portuguese Zone, Portugal

The use of airborne gamma radiation in hydrocarbon exploration is widely known to define possible areas of microseepage. At this paper, the radiometric survey was applied to identify hydrocarbon anomalies over the South Portuguese Zone (SPZ) unconventional petroleum system. Spectral gamma-ray data were processed to thorium normalization method. Obtained results show positive anomalies mainly on the southwest sector of the SPZ, corroborating the data obtained through fluid geochemical analysis, revealing other several surface sweet spots for hydrocarbons emanations.
Towards Creating Interoperable Resources for Conceptual Annotation of Multilingual Domain Corpora

In this paper we focus on creation of interoperable annotation resources that make up a significant proportion of an on-going project on the development of conceptually annotated multilingual corpora for the domain of terrorist attacks in three languages (English, French and Russian) that can be used for comparative linguistic research, intelligent content and trend analysis, summarization, machine translation, etc. Conceptual annotation is understood as a type of task-oriented domain-specific semantic annotation. The annotation process in our project relies on ontological analysis. The paper details on the issues of the development of both static and dynamic resources such as a universal conceptual annotation scheme, multilingual domain ontology and multipurpose annotation platform with flexible settings, which can be used for the automation of the conceptual resource acquisition and of the annotation process, as well as for the documentation of the annotated corpora specificities. The resources constructed in the course of the research are also to be used for developing concept disambiguation metrics by means of qualitative and quantitative analysis of the golden portion of the conceptually annotated multilingual corpora and of the annotation platform linguistic knowledge.
Pengukuran dan Analisis Kapasitas Infiltrasi Lahan Pada Berbagai Posisi di Kampus Unima

Ground water has a very close relationship, when in rainwater reaches the surface of the earth, some will enter the ground (infiltration) to be come part of ground water (groundwater) while absorbed by the ground will be come a surface run off (run off). Unima campus area has 270 hectare of land, the exictence of flat to steep topography, various vegetation and land management for campus buildings on unima very much allows different infiltrasions in various locations. This study aims to analyze the infiltration capacity of four fields and compare the infiltration capacity of the four fields using exploratory methods (eksploratory research) this research is also referred to as a very basic eksploratorion study, measurements are carried out using the horton formula and processed in microsoft excel applications. The results showed that the four lands with a lot infiltration capacity of 16,8 cm/hour with medium classifiction. Sloping land less trees infiltration capacity 34,8 cm/hour with a rather fast classification. Flat land many trees infiltration capacity of 14,4 cm/hour the clasification is rather slow. Flat land less trees infiltration capacity is rather slow. Flat land less trees infiltration capacity is 8,4 cm/hour slow classification. Of the four lands can be compared to land that has high infiltration found in sloping locations with less trees and the lowest infiltration on flat land with less trees.
History and the social responsibility of computing professionals

There is nothing unusual or sinister in the fact that each generation rewrites history to suit its own needs, or about disagreements within the profession and among the public at large about how history should best be taught and studied.--- Eric Foner, Who owns history?: rethinking the past in a changing world. 2002. p. xi [2]
Quantum Computers for Next Generation

Computers reduce human effort and also focus on increasing the performance to push the technology forward. Many approaches have been devised to increase the performance of the computers. One such way is to reduce the size of the transistors used in the systems. Another very significant tactic is to use quantum computers. It proved to be very effective when used to factor large numbers. It was found that it could decrypt codes in 20 minutes which took billions of years with classical computers. This was a great motivation for focusing on this topic. A quantum computer allows a `quantum bit' or qubit to have three states - 0, 1, and 0 or 1. The last state is the coherent state. This enables an operation to be performed on two diverse values at the same time. However, this brings out a problem of decoherence. It becomes difficult to perform the computation using quantum computers. A quantum computer is desired to have five capabilities - scalable system, initialized state, long decoherence time, universal set of quantum gates, high efficiency measurements. Architecture of the quantum computer is the new research area. It is affected by quantum arithmetic, error management, and cluster-state computing. Without it, the quantum algorithms would not prove to be as efficient. To fully utilize the power of a quantum computer, the algorithms used should be based on quantum parallelism.
KidzPass: authenticating pre-literate children

Many online services require users to authenticate themselves to prove their identity. Text-based passwords are the most widely-used authentication mechanism. Yet a number of population groups struggle with text-based passwords. One of these groups is made up of children aged 3-5. This is an important sector of society, because many of these children use the Internet at home. This was especially true during the COVID-19 pandemic.Young children can struggle with text-based passwords due to their emerging literacy and immature development. The majority of children do not learn to read fluently until age seven. At age four or five, they generally do not have the required skills to create, retain and manage alphanumeric passwords. This might well leave young children vulnerable when online or impose unrealistic demands on their care givers who support them in authenticating themselves.Here, we report on the development and evaluation of two versions of KidzPass, a graphical authentication mechanism that specifically relies on the abilities 3-5 year old children can be expected to possess. We conclude by reporting on lessons learned about designing authentication for this target user group.
Computational Linguistics: Inverse Problems and Emerging Mathematical Concepts

Computational linguistics is the scientific discipline concerned with understanding written and spoken language from a computational perspective, and building devices that usefully process and produce language in various settings. It is basically a branch of linguistics which deals with applications of techniques of computer science to the analysis and synthesis of language and speech. To have a better understanding of computational linguistics, knowing what linguistics is, is a prerequisite. This chapter presents an introduction to linguistics. The primary concern of computational linguistics is computational modeling of linguistic processes to support the development of software applications that do useful things with language. Cognitive science, philosophy, psychology and mathematics are some of the areas from which insights are taken in computational linguistics. The first project undertaken in computational linguistics was machine translation (MT). With the ever-increasing availability of unstructured data, governments are searching for ways to better process and understand this information and, therefore, are looking for skilled computational linguists to hire.
Statistical and neural language models for the Ukrainian Language

Language Modeling is one of the most important subﬁelds of modern Natural Language Processing (NLP).The objective of language modeling is to learn a probability distribution over sequences of linguistic units pertaining to a language. As it produces a probability of the language unit that will follow, the language model can be viewed as a form of grammar for the language, and it plays a key role in traditional NLP tasks, such as speech recognition, machine translation, sentiment analysis, text summarization, grammatical error correction, natural language generation. Much work has been done for the English language in terms of developing both training and evaluation approaches. However, there has not been as much progress for the Ukrainian language. In this work, we are going to explore, extend, evaluate and compare different language models for the Ukrainian language. The main objective is to provide a balanced evaluation dataset and train a number of baseline models.
ADEQUACY OF TEACHER MOTIVATION FOR PROMOTING TEACHERS’ JOB COMMITMENT IN SECONDARY SCHOOLS IN THE FEDERAL CAPITAL TERRITORY, ABUJA

This study examined adequacy of teacher motivation for promoting teachers’ job commitment in secondary schools in the Federal Capital Territory, Abuja. Three research questions guided the study. A descriptive survey research design was employed as method of investigation in the study. Population of the study consisted of 3,339 teachers in 62 public secondary schools from the 6 Area Councils in the FCT, Abuja. Sample size of the study comprised a total of 1,002 teachers selected from 43 public secondary schools, drawn from the 6 Area Councils in the FCT, Abuja at 30% and 70% using stratified random sampling technique. A 30-item questionnaire titled: “Adequacy of Teacher Motivationfor Promoting Teachers’ Job Commitment Questionnaire (ATMPTJCQ)”, personally developed by the researcher served as the instrument for data collection. Both validity and reliability of the research instrument were established. The mean score statistics benchmarked at 2.50 were analyzed used to analyzed data. The findings of the study revealed that teacher motivation through the provisions of teaching resources, reward system and in-service training were not adequate for promoting teachers’ job commitment in secondary schools in the FCT. From these findings, recommendations were made. It was however recommended among others that the Minister of the Federal Capital Territory, Abuja in collaborations with the FCT secondary education board and private sector should highly encourage and promote teacher job commitment in the secondary schools through adequate financial support and provisions of teaching resources such as the real objects, pictorials and graphic representations, audio, visual, audio-visual and printed resources.
STUDENTS’ PERCEPTION OF TEACHERS’ STRATEGY IN TEACHING ENGLISH

The purpose of this research is to know students' perception of teachers' strategy in teaching English of MTs Nurul Huda Parit 5 Sungai Luar. This research design is descriptive quantitative. The total populations are 195 students that consist of 98 males and 97 females. So, the sampling process was a total sampling because all students were chosen as the samples. To collect the data, the researcher used the questionnaire as the research instruments. From the data analysis, it was known that students’ perception on teachers’ strategy in teaching English at the fifth generation in 2015 of MTs Nurul Huda Parit 5 Sungai Luar in this research is categorized as good where the percentage is 86.42%. This percentage counted as good perception so the researcher can conclude that students' perception of teachers' strategy in teaching English as a good perception.
Low Contrast Color Image Enhancement Using Particle Swarm Optimization

In this paper, we represent a new optimal simplified approach for image enhancement of low contrast color images using adaptive contrast enhancement and particle swarm optimization (PSO). The HSV (hue, saturation and value) color space is used for the enhancement process. In order to preserve the original color of the image, hue component is kept same. The intensity component is enhanced using the unsharp masking technique. A new contrast gain is defined for amplification of the unsharp mask for producing an enhanced image. The saturation component is enhanced using the power-law transformation. A new objective function comprising entropy, image exposure, histogram flatness and histogram spread is introduced and optimized using PSO to learn the parameters used for the enhancement of a given image. The proposed approach is evaluated using different low contrast test images. Different performance measures are used for the quantitative analysis of the proposed approach.
Interact with the Model

We have learned a lot in the previous chapters when it comes to building Microsoft HoloLens 2 applications that can retrieve content from the Office 365 platform via the Microsoft Graph into a 3D model, based on the authenticated and authorized user. But there is not yet any interaction possible with the model. We discussed some different gestures and interactions in Chapter 6, and the ability to move a person from one collection to another. This final chapter shows how you can pick people from the force redirect graph model into one of the collections to form teams, and have menus in place to make this a proper application running on a Microsoft HoloLens 2.
Compressed domain based robust digital video watermarking scheme to protect the copyright

&lt;p&gt;&lt;span&gt;Digital video watermarking is an effective way to protect the ownership of the multimedia contents. A novel compressed domain based digital video watermarking algorithm scheme is proposed by exploiting MPEG-2 structure. Watermark bits are embedded in DC and AC coefficients both of only smooth discrete cosine transform (DCT) blocks from selected I-frames in the original digital video. The algorithms never exploited entire frames but explore only three location from the subset of DCT blocks from the subgroup of I-frames only. This process maintains the perceptibility of the watermarked video. Two parameters, normalized correlation (NC) and bit error rate (BER) are used to evaluate the degree of similarity and dissimilarity respectively to check the robustness against image processing and video specific intentional and non-intentional attacks. The security of embedded watermark is enhanced by applying three cryptographic keys. The experimental results demonstrated that the better robustness and perceptibility achieved by comparing the results with the state of art. &lt;/span&gt;&lt;/p&gt;
LibGuides: Welcome New Students: Academic Support

This page provides you with what you will need to know about using the online library, and other useful information that will aid in your studies here at St. Lawrence College.
Research guides: VPMC01H3 Exploring Community Music: Synchronize your library

A guide aggregating resources you will need to successfully complete your assignments for VPMC01H3
A novel image recognition approach using multiscale saliency model and GoogLeNet

It is very good to apply the saliency model in the visual selective attention mechanism to the preprocessing process of image recognition. However, the mechanism of visual perception is still unclear, so this visual saliency model is not ideal. To this end, this paper proposes a novel image recognition approach using multiscale saliency model and GoogLeNet. First, a multi-scale convolutional neural network was taken advantage of constructing multiscale salient maps, which could be used as filters. Second, an original image was combined with the salient maps to generate the filtered image, which highlighted the salient regions and suppressed the background in the image. Third, the image recognition task was implemented by adopting the classical GoogLeNet model. In this paper, many experiments were completed by comparing four commonly used evaluation indicators on the standard image database MSRA10K. The experimental results show that the recognition results of the test images based on the proposed method are superior to some stateof- the-art image recognition methods, and are also more approximate to the results of human eye observation.
Bradley Tech grad hurt in hit-and-run while helping with flat tire

Police reports say a speeding driver lost control, crashing into the stopped cars -- and Dayce Woodard -- before careening back into traffic, hitting another car.
Дослідження та профілактика емоційного вигорання у студентів університету.

The study, based on an analysis of publications and a survey conducted by the author, summarizes the concept of emotional burnout syndrome, the causes and effects of emotional exhaustion and burnout, especially students, and the impact of various factors on emotional health. Methodologically, the basis of the work are a systematic approach, the principle of scientific objectivity, critical and analytical analysis of the reviewed literature, and method of interviewing students to assess their own state of emotional distress. The most emotionally exhausted category was found among undergraduate students, suggestions for prevention and combating the emotional burnout of higher education students have been developed.