Efficiently Supporting Online Privacy-Preserving Data Publishing in a Distributed Computing Environment

There has recently been an increasing need for the collection and sharing of microdata containing information regarding an individual entity. Because microdata typically contain sensitive information on an individual, releasing it directly for public use may violate existing privacy requirements. Thus, extensive studies have been conducted on privacy-preserving data publishing (PPDP), which ensures that any microdata released satisfy the privacy policy requirements. Most existing privacy-preserving data publishing algorithms consider a scenario in which a data publisher, receiving a request for the release of data containing personal information, anonymizes the data prior to publishing—a process that is usually conducted offline. However, with the increasing demand for the sharing of data among various parties, it is more desirable to integrate the data anonymization functionality into existing systems that are capable of supporting online query processing. Thus, we developed a novel scheme that is able to efficiently anonymize the query results on the fly, and thus support efficient online privacy-preserving data publishing. In particular, given a user’s query, the proposed approach effectively estimates the generalization level of each quasi-identifier attribute, thereby achieving the k-anonymity property in the query result datasets based on the statistical information without applying k-anonymity on all actual datasets, which is a costly procedure. The experiment results show that, through the proposed method, significant gains in processing time can be achieved.

The Soul Structure Coding, Dna, Rna & The Brain

Before embodiment, each individual entity has intrinsic knowledge of their Soul Structure Coding. The Soul Structure Code is a complex system that is composed of seven components, each part having seven sub-components to program in preparation for life on Earth. Your choice is yours alone, but with the help of your Master Teacher/Spirit Guides who no longer come into embodiment, you first discuss this coding with them in preparation for another life to be lived in our future. In The Oneness there is only a state of Omnipresence in the mirror image of the form we call God.

Presenting a Seminar: Factors Influencing Student's Performance in Higher Education Institutes

Modern day Universities/ Degree Colleges/ Higher Education Institutes have made SC as mandatory curriculum for those pursuing UG/ PG degrees. SCR necessitates presentation for course credit. Seminar is evaluated by jury of experts. Clinical formulations of CDC Zoology (PG) students were studied in context with factors influencing student's performance in SCR presentation. Parameters like behavior, presentation, communication skills and viva-voce were monitored. Clinical psychology of 193 CDC students were studied over a period of 10 years in batches. The excellent performance in presentation of 50% students of 2014 batch was due to guide's involvement. SCR of 2 students of 2018 is referred as benchmark documents in CDC. Overall 44% shew good communication skills and 25% students shew excellent communication skills during seminar presentation. Study found semi forward correlation between poor performance in presentation and viva-voce. Overall 19 students gave poor presentation and 11 students performed poorly in question-answer session. Guides were suggested to arrange mock SCR presentation to counter EP disorder. Test period witnessed 8 students suffering from exams phobic disorder. Few students complained about forgetfulness after the presentation. Performance of all the students of 2020 batch who presented online webinar was VG on Fruition scale. Demography analysis was not done due to insignificant strength of male students. Male to Female ratio of CDC in Zoology (PG) is below 1:10. Present study found that performance of HEI student in presentation of SCR is directly proportional to guidance, presentation, communication skill, viva-voce, hard work and confidence, interest and grasping, and time management. Whereas the same has inversely proportional functional relationship with EP, forgetfulness, temporary hearing, attention loss disorders and family woes. A new concept of HEI - Community Engagement is introduced with an objective to make the research understandable to the remotest individual entity of community. Instead of focusing on complex available techniques of analyzing students performance in presentation of seminar, a simplified basic clinical formulation for CDC students involving psychological factors is studied without the help of statistical tools

Ipilimumab and Pembrolizumab Mixed Response in a 41-Year-Old Patient with SMARCA4-Deficient Thoracic Sarcoma: An Interdisciplinary Case Study

SMARCA4-deficient thoracic sarcoma is a newly described entity of thoracic sarcomas with a poor prognosis, defined by poorly differentiated epithelioid to rhabdoid histomorphology and SMARCA4 gene inactivation. We present a case of a SMARCA4-deficient thoracic sarcoma in a 41-year-old male with a smoking history who presented with an upper anterior mediastinal mass, after seeking medical evaluation for increasing thoracic pain, odynophagia, and dizziness. The biopsy confirmed a large cell tumor with an epithelioid to rhabdoid histomorphology, positive for EMA, CD99, vimentin, TLE1, INI1, PAS-positive cytoplasmic granules, and PD-L1 (100% of tumor cells). High TMB and HRD scores were displayed in the tumor. The histology and immunophenotype of the mass were in line with the diagnosis of SMARCA4-deficient thoracic sarcoma. In the course of his treatment, the patient showcased a partial response to pembrolizumab and the combination of pembrolizumab and ipilimumab. This case report highlights the importance of recognizing SMARCA4-deficient thoracic sarcoma as an individual entity and supports the importance of checkpoint inhibition therapy for SMARCA4-deficient thoracic sarcomas, particularly in cases with a high TMB and PD-L1 expression.

Forms of a Posthuman Fantastic in Mia Gallagher’s Shift

In posthuman philosophy the human subject is not regarded as an entity but a relational process. Yet the historical construct of “the individual” remains the (unconscious) reference point in human perception, feeding ego- and anthropocentrism. This article will argue that in their call to revise the static ideal of the individual entity posthuman philosophers find “allies” in fiction. More specifically, the fantastic is a genre which offers great possibilities to drastically reshuffle basic tenets of perception. Mia Gallagher’s Shift offers a spectrum of fantastic stories in which protagonists relate to human and nonhuman agents such as animals, minerals, air and water. But, in this posthuman theory and fiction, not only human beings are deconstructed into relational nodes; the categories that constitute them are no independent concepts either, but mere interactional factors. This article’s analysis of Gallagher’s short stories focuses on the ways in which self and other, nature and culture, life and death, feminine and masculine, interior and exterior worlds interact.

Investigating Differences in People’s Concept Representations

Semantic memory tasks can focus on intensions (features and properties) or extensions (reference and categorization). The two aspects, intension and extension, should in principle be closely related. It is in virtue of possessing the intensional properties of a concept that an individual entity will be included in the extension of that concept. For example, any feathered creature that hatches from eggs and has two legs and a beak will be a bird, and any creature lacking any of these features will be something else. There is evidence for stable individual differences in each of these tasks, but these differences do not correspond across tasks. Two further studies show that, under certain conditions, the correspondence can be demonstrated. This chapter discusses reasons for the lack of connection in terms of different systems for conceptual understanding involving similarity versus theory-based conceptualization.

Challenges and threats to the economic security of the Russian Far East regions

Subject. This article deals with the issues related to the economic security of the Russian Far East and the impact of the shadow economy on it. Objectives. The article aims to justify the need to develop a regional mechanism for managing the challenges and threats to the economic security of each particular area in order to ensure the economic security of the entire Russian Federation. Methods. For the study, I used economics and statistics, and comparative analyses. Results. The article reveals the main challenges and threats to the economic security of the regions of Russia's Far East. Conclusions. Inter-regional differentiation and the high shadow economy level have a significant impact on the economic security of the Russian Far East. The development of a mechanism for managing challenges and threats at the level of each individual entity contributes to improving the economic security of both the macro-region and the country as a whole.

Cultural Spectrum in Arvind Adiga’s Selection Days

Cultural Studies have played a pivotal role in understanding and evaluating the power dynamics of the social, political, economic and ethical world order by empirically engaging and focusing on the present-day culture, tracing its historical roots and explicating its attributes with reference to a particular literary text and its reception in a society. Arvind Adiga, the Man-Booker Prize winning Indo-Australian author, in Selection Day, has adroitly detailed how cricket as an individual entity impacts the cultural phenomena of a society by confronting its inherent myriad issues. The narrative delves deep into the lives of two siblings – Radha and Manju, witnesses the dramatic turnaround of events and tries to capture the themes of unfulfilled desires and preordained destinies. The novel also explores how the sport holds different meanings and significance for different characters, each of whom view the game in the light of their own ideology. The author foresees and sensitizes the theme of homosexuality, which is still a taboo and been unheard of, within the sports fraternity. Adiga’s critique of the parental felony, embodied in Mohan Kumar, and its repercussions is the most compelling theme at the heart of this work of fiction. Selection Day powerfully binds together the societal phenomena of class construction, unquenchable thirst for money, sexual orientations and ideologies with a single thread and studies how culture, in itself, is an ever-evolving phenomenon.

Active Effects Selection which Considers Heredity Principle in Multi-Factor Experiment Data Analysis

The sparsity principle suggests that the number of effects that contribute significantly to the response variable of an experiment is small. It means that the researchers need an efficient selection procedure to identify those active effects. Most common procedures can be found in literature work by considering an effect as an individual entity so that selection process works on individual effect. Another principle we should consider in experimental data analysis is the heredity principle. This principle allows an interaction effect is included in the model only if the correspondence main effects are there in. This paper addresses the selection problem that takes into account the heredity principle as Yuan et al. (2007) did using least angle regression (LARS). Instead of selecting the effects individually, the proposed approach perform the selection process in groups. The advantage our proposed approach, using genetic algorithm, is on the opportunity to determine the number of desired effect, which the LARS approach cannot.

Link Prediction between Group Entities in Knowledge Graphs (Student Abstract)

Link prediction in knowledge graphs (KGs) aims at predicting potential links between entities in KGs. Existing knowledge graph embedding (KGE) based methods represent individual entities and links in KGs as vectors in low-dimension space. However, these methods focus mainly on the link prediction of individual entities, yet neglect that between group entities, which exist widely in real-world KGs. In this paper, we propose a KGE based method, called GTransA, for link prediction between group entities in a heterogeneous network by integrating individual entity links into group entity links during prediction. Experiments show that GTransA decreases mean rank by 5.4%, compared to TransA.