Reviewerly/exHarmony huggingface dataset:
OBJECT STATUS IN MODERN ONTOLOGIES

The philosophical discourse of the XX–ХХI, in the face of the latest ontologies, is characterized by a change in the way of speaking about things (objects), the restoration of their philosophical rights, almost completely, excluding one of the central ontological roles of a person in access to the surrounding reality. The purpose of this study was to identify the features of ideas about the ontological status of an object in modern philosophical and ontological theories. Achievement of the stated goal of the research was ensured by complex application, based on the comparative approach, dialectical and hermeneutic methods, as well as the method of ontological differentiation. In the course of the study, the features of the vision of an object, characteristic of postclassical ontologies of the 20th century, were considered. In the course of the research, the features of the object vision characteristic of post-classical ontologies of the XX century (actor-network theory, flat ontologies) were considered. Based on the ideas of plurality, heterogeneity, anti-essentialism and relationalism in the philosophical discourse of our time, the author presents a modern interpretation of the ontological statuses of objects. By analyzing the relationship of postclassical ontologies to the category of truth, the epistemological and methodological nature of the above ontological theories has been revealed. A critical analysis of the features of the status that is attributed to the object within their framework is carried out. The author substantiates the idea that the ontological status of an object in modern ontologies is reduced exclusively to its communicative and intermediary nature. The article ends with a brief presentation of the author’s views that the ontological status of an object is a fundamental issue of the connection between the idea of essence and the idea of subjectivity, which is inherent in intentionality as the ability to cognize an object. At the same time, it is pointed out that the researcher must concentrate exclusively on «cognition» and not on the «construction» of the object. The author notes that modern specialists, operating with traditional ontological terms (being, existence) in the sphere of the considered ontologies, and trying to create a new «ontology of the social», miss their original intention. In this connection, the idea turns into a new epistemology and, as a consequence, the construction of a completely different methodological framework for the cognitive process, but not an integral ontological concept.
Object Detection Techniques in Videos

Object detection in videos has increased its popularity because of its wider applications. It has gained more research attention now days as it is applicable in real time situations like pedestrian detection, anomaly detection, Self moving cars, sports, counting of people etc. This paper begins with the introduction of object detection and briefs the basic steps in the process. It also provides a review of various techniques and approaches used for object detection in videos. Discussion of every approach and limitations will provide several promising directions and guidelines for future work.
Interculture language learning: Literacy level determines the development of tourist numbers in Indonesia?

This study aims to investigate correlation knowledge competencies about Indonesia and the number of Indonesian tourist attractions visited. This research used the correlation method by linking knowledge competencies about Indonesia and the number of Indonesian tourist attractions visited. The data was also supported by interviewing to find several factors that made them compelled to come to Indonesia. The participants is a student from an Indonesian language learner for foreign speaker class or called BIPA. The participants take from BIPA learners academic years 2018–2020 at one of the private Indonesian language courses in Indonesia. The results show that all of tourists from various countries who have a high level of literacy about Indonesia visit more tourist attractions than BIPA students who lack knowledge about tourist attractions in Indonesia. Knowledge about tourist attractions is obtained from BIPA learning and other media. The higher literacy about Indonesia makes their curiosity higher. This implies that language and culture learning for foreigners plays an important role in developing business in the tourism sector.
V.V. Rozanov’s Archive in Rumyantsev Museum

The article presents a general overview of the letters to V.V. Rozanov that he sent to . Rumyantsev Museum. The chronology of the receipt of materials from the epistolary archive to the Department of manuscripts of the Museum is traced. The author refers to the names of the persons who directly handed the materials to the archive, and who accepted and processed them. The bibliophilic priorities of the museum curator . G.P. Georgievsky and V.V. Rozanov became the basis for supplementing the epistolary collection “From the Archive of V.V. Rozanov”. The author mentions the error in dating the letter of V.V. Rozanov to G.P. Georgievsky., written to accompany the last part of the epistolary passed to the Museum inter vivos. The text of the letter is published for the first time. The importance of V.V. Rozanov’s review of the book in the “Novoye Vremya” journal at the beginning of the twentieth century is emphasized. The author’s approach to the systematization of the correspondents’ letters for their subsequent passing over to Rumyantsev Museum is shown. The author provides concise information on the contents of certain collections of letters from Rozanov’s correspondents. The main themes of V.V. Rozanov’s epistolary communication with the authors of the letters are outlined. The author takes note of Rozanov’s special attitude to the selection of letters from the archive of correspondence for further publication. in the “Literary Exiles” series.. In the forefront there are letters from Church leaders and the thinker’s allies in the field of legislation on family relations. The article highlights the problem of correctness of specifying archive code numbers of the Russian State library’s manuscript department from the museum part of the archive, which have undergone changes during their stay in the General complex of V.V. Rozanov’s manuscript archive.
Data Feudalism: How Platforms Shape Cross-border Investigative Networks

Data feudalism: How platforms shape cross-border investigative journalism and pave the way for its colonization.
Ore-forming fluids of the gold-bearing interval of the Kola Superdeep Borehole

This paper reports on the physical-chemical parameters and vertical distribution of different types of fluid inclusions in quartz from the Au-bearing interval of the Kola Superdeep Borehole. We assume that gold ore mineralization was formed when a deep flux of CO2 interacted with brines at depths of 10 205-9269 m due to tectonic factors. In this paper, we discussed the role of these processes in the formation of the orogenic gold deposits including the gold mineralization of the Southern Pechenga structural zone.
Nerve Sensors in Inclusive Musical Performance

We present the methods and findings of a multi-day performance research lab that evaluated the efficacy of a novel nerve sensor in the context of a physically inclusive performance practice. Nerve sensors are a variant of surface electromyography that are optimized to detect signals from nerve firings rather than skeletal muscle movement, allowing performers with altered muscle physiology or control to use the sensors more effectively. Through iterative co-design and musical performance evaluation, we compared the performative affordances and limitations of the nerve sensor to other contemporary sensor-based gestural instruments. The nerve sensor afforded the communication of gestural effort in a manner that other gestural instruments did not, while offering a smaller palette of reliably classifiable gestures.
Unnamed Functions

One problem with calling algorithms is that sometimes the predicate or transformation function must be declared far from the place where it is called. With a properly descriptive name, this problem can be reduced, but often the function is trivial, and your program would be much easier to read if you could put its functionality directly in the call to the standard algorithm. A feature introduced in C++ 11 and expanded in subsequent standards permits exactly that.
Supplementary material to &amp;quot;Early winter barium excess in the Southern Indian Ocean as an annual remineralisation proxy (GEOTRACES GIPr07 cruise)&amp;quot;

Table S1: Winter 30°E transect station information; zones -north of the Polar Front (NPF), south of the Polar Front (SPF) and the subtropical
Petrogenesis of Neogene Polymagmatic Suites at a Monogenetic Low-Volume Volcanic Province, Bahariya Depression, Western Desert, Egypt

Monogenetic volcanoes can yield eruptive suites displaying substantial complexity in compositional characteristics.The Bahariya monogenetic volcanoes (BMV) in the Western Desert, Egypt are good example.The architecture of the BMV is the product of two alkali magma batches: pyroclastics and lava flows forming explosive scoria cone (batch 1) and
Integrated Project Delivery and Blockchain

Blockchain and other distributed ledger technologies represent a new form of economic coordination. Beyond just cryptocurrency transactions, blockchain has inherent affordances that can also be useful to design a new project delivery system. This presentation describes the traditional project delivery system and the integrated project delivery model as past forms of project governance.
A CLOUD BASED SECURITY FOR ADVANCED MINIMIZING ENERGY BASED DATA SHARING IN MULTI-CLOUDS

Protect Cloud is better than protecting your account calculate with internal consumption characteristics assets. In terms of cloud computing, it provides cloud services give an endless storage and file information and creates an abstracts information uploading the data of various clients. It can help customers reduce economic costs of document management by moving with the district administration utility and policies to use on cloud servers. Offer safe statistics The security key can be confiscated Distribute and share information for dynamic groups. Within this task, the existing scheme is able to help Dynamic organizations work effectively when there are new users in case of joining the organization or termination of the user from the organization, the private keys of the opposite party customers do not need to be reimbursed now and do not need to do so date. In addition, the scheme can achieve comfort customer cancellation cannot be a blocked client data files can be retrieved for the first time although they conspired with unbelievers of clouds. To avoid these threats, conspiracies against information are a how to remove a copy of a statistical copy, the cloud has been widely used in garages to reduce storage space, throughput and deployment in cloudy weather information is saved. Recommended compiler The encryption model has been widely followed Convenient anti-conspiracy, correct and reliable control a variety of compiler keys.
Identification of Sex from Facial Index in Western Maharashtra Population

Background: Facial Index anthropometry has well known, implications in health-related fields, identification of person in Forensic Medicine, Plastic Surgery, Orthodontics, Archaeology, hair style design and examination of differences between races and ethnicities.Method:120 (60 Male and 60 female) adults aged between 25 to 45 were studied.Facial height is divided by Breadth of Zygomatic arch and multiplied by 100.The Measurement were taken from Nasion to Gnathion and distance between two zygoma by asking the volunteers to sit in upright position, spreading calliper used for measurement of two zygoma and sliding calliper for Nasion to Gnathion. Results:The man value of Male Facial Index was 92.1 (SD±0.40)female was 89.2 (SD±0.19),ttest value was 1.97 and p value was highly significant (P<0.01) and anthropologically obtained values belong to Leptoproscopic Index. Conclusion:The present study of western Maharashtra will be useful for medico legal expert, anthropologist to differentiate from other parts of country and abroad as well.Moreover, it would be useful to orthodontics plastic surgeons for reconstruction of face.
Analysis of the impact of public investments on agricultural growth in the West African Economic and Monetary Union

This article aims to analyse the determinants of agricultural growth in the West African Economic and Monetary Union (WAEMU). Fixed effect panel models have been estimated. The sample used to assess these determinants covers eight African countries over the period 1961 to 2017. The estimation results indicate that agricultural public investments have a positive and significant impact on agricultural growth and this impact depends on the combination with other factors of agricultural growth. In addition, the findings shows that other factors such as producer cotton prices, rainfall, number of tractors and farm labour force also drive good agricultural growth. On the other hand, the quantities of urea, the production and cotton land use do not have a significant incidence on the agricultural growth of the zone. For an effective agricultural growth in this area, the adoption of chemical, mechanical and consequential agricultural investments is becoming imperative and a necessary and sufficient condition to boost a true green revolution. Moreover, our results suggest that the main channel for sustainable agricultural growth in the union is the combination of all factors of production.
Exact Learning

By exact learning we mean the expressibility of a network to reproduce exactly the desired target function. For an exact learning the network weights do not need tuning; their values can be found exactly. Even if this is unlikely to occur in general, there are a few particular cases when this happens. These cases will be discussed in this chapter.
Beat Machine: Embracing the creative limitations and opportunities of low-cost computers

The Beat Machine is a hand-held music synthesizer and sequencer. We discuss the development of the Beat Machine and how creative constraints and opportunities were introduced by the particularities of low-cost microprocessors and associated electronics. The discussion is framed as an exemplar of Kåre Poulsgaard's concept of enactive individuation, a framework for relating material engagement to digital design and fabrication. In reflecting on the design and making of the Beat Machine we connect this framework with more established notions of creative interaction and the affordances of digital media.
Fuzzy Face Recognition Based On Skin Texture Fusion Model

Facerecognition is a research are in computer vision and pattern recognition because of its importance in real applications like human machine interaction, video surveillance, and security systems. Here we have proposed a fuzzy model for robust facerecognition using gradient and texture information. Initially, the local binary pattern (LBP) and histogram of oriented gradients (HOG) feature of face skin from the original images are extracted. These two features are used for the development of our fuzzy model. For the analysis of faces, a content-based similarity measure is developed and used for data analysis of trained face model and test face model. The proposed algorithm is experimented on LFW, AR, and ORL face databases. The proposed fuzzy face fusion model approach shows that our proposed method is having good recognition rate compared to facerecognition methods developed recently.
Women and Children Empowerment through Learning English: Collaborating with Jage Kestare Foundation

English as a lingua Franca has special attention for people or children to learn the skill including for children and young people in Ungga village. It is because the language is one of the tools to communicate with other people such as for education, business, tourism, politics, and other sectors. Ungga has a good potency to be developed in promoting the village to be one of the tourism places in central Lombok because it is near to the Mandalika spots. Consequently, human resources are needed to be prepared related to the knowledge and the skills. One of the ways to achieve the goals is providing English training either for young people or for children. Teaching English has numerous challenges. However, designing collaborative learning with some games would encourage them in learning. Children enjoy playing games both online or offline with peers or friends so that collaborative learning by designing a fun concept is one of the effective ways to teach and learn English. Several games were provided such as guess voices, mix, and match, and Find Friends. Besides, partnership among universities, village officers, and communities is crucial to maintaining sustainability so that the university collaborated with one of the communities in the village “Jage Kestare Foundation” to conduct the activity. Teaching English learning goal is not only for learning English but also incorporating gender equality values in the teaching and learning process through materials and activities. The results of the community service activity are that the learners become more active in learning English and more aware of gender equality values. It is expected that by empowering the women and children in the village through learning English by incorporating gender values, it will be able to empower the communities particularly for women and children, and to gain revenue-generating.
UI Design Using Layouts

A layout is a container for controls, images, text, and other layouts. Central to the creation of the mobile UIs, layouts help us to design our pages by using the placement of views and nested layouts (for more views). If you’ve worked with HTML <div>, <table>, or <form> elements, then layouts should feel familiar to you. The purpose of a layout is to indicate the location and size of each of its child elements. This is typically done in three ways: relative to the individual controls in the layout, relative to the origin of the layout, or using an overlaid structure such as a grid. Each layout type has a mechanism for placing child views within it, specifying the size and location of each view, and creating space between and around the views.
Big Data Techniques for Clinical Image Analysis

The process of extracting clinical images, for instance, heart images from cameras is full of noises and complexities. As such, the general expenditure for processing these images like resources and time is significantly high, mostly for complex and large amounts of data. In that case, this research contribution utilizes the machine vision-centred method to effectively address these issues. The method significantly incorporates four essential stages with various forms of algorithms to handle the clinical heart images. In the first stage, the smoothing algorithm is utilized to minimize some form of noise. In the second stage, the filtering algorithms are applied for the analysis of images to effectively identify the targeted region. In the third stage, more developed algorithm is utilized to evaluate the image characteristics in the targeted region, identifying the basic image outline. Lastly, the reduction algorithm is meant to transform the original image into significantly precise and smooth pictures. The experimental findings indicate that the machine vision-centred clinical image analysis algorithm might significantly extract fundamental data and attain the most reliable results, contrasting with the most ancient image analysis techniques.
Our Hand–Eye CoordinationFollows Laws

This chapter describes Fitts’ law and the steering law, which govern human pointing behavior for all known types of pointing devices, including fingers on touch screens. It also discusses the implications of these two laws for user-interface design.
Activity recognition from Smartphone data using WSVM-HMM classification

A lot of real-life mobile sensing applications are becoming available nowadays. The traditional approach for activity recognition employs machine learning algorithms to learn from collected data from smartphpne and induce a model. The model generation is usually performed offline on a server system and later deployed to the phone for activity recognition. In this paper, we propose a new hybrid classification model to perform automatic recognition of activities using built-in embedded sensors present in smartphones. The proposed method uses a trick to classify the ongoing activity by combining Weighted Support Vector Machines (WSVM) model and Hidden Markov Model (HMM) model. The sensory inputs to the classifier are reduced with the Linear Discriminant Analysis (LDA). We demonstrate how to train the hybrid approach in this setting, introduce an adaptive regularization parameter for WSVM approach, and illustrate how our proposed method outperforms the state-of-the-art on a large benchmark dataset.
Distributed Frequent Itemset Mining Using Size Based Assignment Technique

Distributed data mining is attracting researchers due to the globalisation and increase in the distributed databases.Very little work has been done in this area.Algorithms which are available, mostly first partition the database, distribute them amongst different sites for parallel processing.In the real life scenario data generated at different sites are not under control of centralised database and the numbers of transactions at each site are highly varied.Due to this some sites are heavily loaded and some sites are comparatively free.A novel approach, size based assignment, is proposed in this paper which takes care of the database size available at each site while distributing the load for finding the global frequent itemsets.It also reduces the communication load by pruning and no-broadcasting techniques.The algorithm is compared with similar algorithms on execution time.Results show that the new technique performed best amongst them in time execution.
Design of Framework to Quantitatively Measure the ubiquity of an IT Solution

Ubiquitous computing is one of the most disruptive and emerging technology of present times with applications in many areas like manufacturing, healthcare, real estate etc. Design of standards and framework for these applications is an ongoing research area. To aid a better design, it is worthwhile to have a framework that can be used to quantitatively measure various features of IT solutions and products like ubiquity, security etc. The primary aim of having this framework is to assist in development of a solution or product that is properly engineered. This paper provides a novel framework which includes various metrics that measures various features of an IT application or product. The application of the framework is demonstrated by measuring the various features of two different versions of a smart home application developed by a company for luxury real estate project. Initially, the first version of the application is evaluated using the proposed framework which then helped in identifying the improvement areas which were enhanced in subsequent version of the solution. These results are presented to validate the proposed concepts and model.