Pictures Of Objects Research Articles

Medical Image Processing using Deep Learning Techniques in Big Data Perspective

Artificial intelligence and machine learning will be the driving forces behind the next computing revolution. These technologies rely on the ability to identify trends from historical information and predict future outcomes. One of the best machine learning techniques, deep learning is employed in a variety of applications, including object recognition, picture categorization, image analysis, and clinical archives. Image and video data are necessary for both diagnosing the patient's illness and determining its severity. Convolutional neural networks are efficient gears for digital picture classification and image understanding. The production of medical photographs has ex-ponentially increased as a result of the proliferation of digital devices and the development of camera technology, which creates Bigdata. Massive, difficult-to-manage volumes of structured, unstructured data are referred to as "Big data". The more data processed for analysis, the greater will be the analytical accuracy and also the greater would be the confidence in our decisions based on the analytical findings. In this paper, we proposed a novel method for early detection of pneumonia disease using deep learning techniques along with the big data storage and big data analytics to achieve more better performance. The results show that, the model achieved 91.16% of accuracy and 93.22% of F1-score.

DIAGNOSTICS OF THE FORMATION LEVEL OF FUTURE MANAGERS’ READINESS FOR PROFESSIONAL ACTIVITIES

The content of the concept of “readiness for professional activity” (RPA) is considered, a structural analysis of its components (value-motivational, cognitive-activity, personal, communicative components) is given. A pedagogical experiment to study the readiness of future managers for professional activity has been conducted. The content of diagnostic methods used during experimental work is revealed, their role in the learning process is highlighted. The diagnosis is based on criteria, indicators and their corresponding levels of formation of the RPA, which makes it possible to draw up a more objective picture of the current state of the investigated problem. An analysis of the dynamics of the structural components of the RPA during the experiment has been made, and the pedagogical conditions that help to activate the process of student training has been studied. Diagnosing the structural components of the RPA significantly activates the pedagogical cooperation between teachers and students. This is the process of their socio-psychological interaction, aimed at creating favorable conditions for self-knowledge, self-development and self-improvement of the individual

The geography of public diplomacy of President of Ukraine Volodymyr Zelenskyy during the full-scale Russia-Ukraine war


 
 
 Public diplomacy, as a special form of foreign policy activity aimed at shaping foreign public opinion as a factor in changing the policy of another state, requires the study of the peculiarities of geopolitical and geocultural perceptions of the foreign public. Public diplomacy has become an important channel of international communication between Ukraine and the civilized world since the beginning of the full-scale Russian offensive on its territory. The role of President of Ukraine Volodymyr Zel- enskyy in transforming public diplomacy into an effective technology of international politics is unprecedented. The uniqueness of V. Zelenskyy’s contribution to the development of public diplomacy as an international communication practice lies, first, in the incredible rise in the importance of the head of state as the main actor of such diplomacy, second, in its institutionalization and intensification as a tool for influencing global public opinion, third, in its tangible effectiveness and efficiency, and fourth, in the widespread use of digital online technologies for its implementation. The success of V.Zelenskyy’s public diplomacy is not just due to its geographically relevant content, but also to communication technologies based on geographic determinism. His public diplomacy is based on universal values, but adapted to the geocultural characteristics of the foreign public. The Ukrainian president sought to make the Ukrainian position understandable to geoculturally different audiences through a number of persuasive technologies. First of all, he used the technology of joining by appealing to values common to all geographical regions, such as life, security, freedom, children, and family. In addition, the Ukrainian national leader used the technology of engaged communication, which is empathetic, compassionate in nature and based on respect for the values, symbols, ideals, tragedies and losses that make up the geocultural background of the public’s worldview in each country. In conducting public diplomacy, the Ukrainian president outlined the geography of danger from the potential Russian threat,including the countries that were part of the USSR and the Soviet bloc. The Ukrainian national leader’s use of the technique of linking the geography of the Russian threat to the Soviet past is justified in the light of official and semi-official Russian propaganda. Exposing Russian disinformation has become one of the leading directions of V.Zelenskyy’s public diplomacy and the main information weapon against the aggressor. In proving the falsity of Russian propaganda, the Ukrainian national leader appeals to the facts, to the reasons for the distortion of the objective picture of reality and to the special geocultural experience of the foreign public, which is determined by significant historical events in a particular geographical area of the world.
 
 

MANAJEMEN PERENCANAAN KURIKULUM

The curriculum is a blue print of an educational institution, through the curriculum prospective guardians and prospective students can see what kind of competency picture will be obtained by their children or personal students. So that in planning the curriculum, managers of educational institutions should understand what they must prepare in planning a curriculum. Therefore, through library research or also called this literature study, the author collects library data, reads, records and processes from various sources, the main data sources are from books and journals that discuss the curriculum and are supported by the author's personal experience in the field in developing the curriculum to provide an objective picture of curriculum planning management.

Reduced Implicit but not Explicit Knowledge of Cross-Situational Statistical Learning in Developmental Dyslexia.

Although statistical learning (SL) has been studied extensively in developmental dyslexia (DD), less attention has been paid to other fundamental challenges in language acquisition, such as cross-situational word learning. Such investigation is important for determining whether and how SL processes are affected in DD at the word level. In this study, typically developed (TD) adults and young adults with DD were exposed to a set of trials that contained multiple spoken words and multiple pictures of individual objects, with no information about word-referent correspondences provided within a trial. Nonetheless, cross-trial statistical relations could be exploited to learn word-referent mappings. The degree of within-trial reference uncertainty and the novelty of to-be-learned objects (novel or familiar) were varied under different learning conditions. The results show that across all conditions, young adults with DD were significantly impaired in their ability to exploit cross-trial regularities in co-occurring visual-auditory streams to discover word-referent mappings. Observed impairments were most pronounced when within-trial reference uncertainty was the highest. Subjective measures of knowledge awareness revealed greater development of implicit but not explicit knowledge in the TD group than in the DD group. Together, these findings suggest that the SL deficit in DD affects fundamental language learning challenges at the word level and points to greater reliance on explicit processes due to impaired implicit associative learning among individuals with DD. Such a deficit is likely to influence spoken language acquisition, and in turn affect literacy skills, in people with DD.

Entrepreneurial Interest and Motivation Among Students, Case Study of BEM FIS UNJ Board Members

The research wanted to see the interest and motivation of students, UNJ BEM FIS management in entrepreneurship. Competition in the business world sector is currently getting tighter, however, with the development of information technology providing opportunities that are open to all people to become business actors, advances in the field of digital and information technology have made conventional businesses have to adapt to the digital world, this has created new business opportunities for students, students who are young and generally master the digital world, currently have many roles in business in the digital world. The research method used is descriptive quantitative, the researcher makes an objective picture by using interview data to describe the research findings. Most of the board of BEM FIS UNJ are not aware of the importance of entrepreneurship, even though they have that potential.

Learning-Induced Plasticity Enhances the Capacity of Visual Working Memory

Visual working memory (VWM) is limited in capacity, though memorizing meaningful objects may refine this limitation. However, meaningful and meaningless stimuli typically differ perceptually, and objects’ associations with meaning are usually already established outside the laboratory, potentially confounding experimental findings. Here, in two experiments with young adults (N = 45 and N = 20), we controlled for these influences by having observers actively learn associations of (for them) initially meaningless stimuli: Chinese characters, half of which were consistently paired with pictures of animals or everyday objects in a learning phase. This phase was preceded and followed by a (pre- and postlearning) change-detection task to assess VWM performance. The results revealed that short-term retention was enhanced after learning, particularly for meaning-associated characters, although participants did not quite reach the accuracy level attained by native Chinese observers (young adults, N = 20). These results thus provide direct experimental evidence that participants’ VWM of objects is boosted by them having acquired a long-term-memory association with meaning.

Artificial intelligence in judicial proceedings and court decisions, potential and risks

This article traces the role of artificial intelligence (AI) in the judiciary and its impact on judicial decision- making processes. It explores the potential of AI in the field of justice, and also reveals the potential risks associated with its use.
 The article examines various applications of AI in the judicial system, including automated processing of legal information, analysis of large volumes of data, prediction of court decisions and the use of assistant robots to support judges in decision-making. The use of AI can speed up judicial processes, improve access to justice and reduce the influence of the human factor on judicial decisions.
 However, the article also draws attention to the potential risks of using AI in the judiciary. These risks include the possibility of algorithmic unfairness, lack of transparency of algorithms, breaches of data confidentiality and privacy, and liability issues for errors that may be made by AI. The authors of the article recommend considering these risks when implementing AI in the judiciary and developing ethical standards and legal frameworks for its use.
 The general goal of the article is a balanced coverage of the potential and risks of AI in the judiciary, which helps readers get an objective picture of innovations in the field of the judicial system and their impact on the process of judicial decision-making.
 The article also explores the use of artificial intelligence (AI) in the judiciary and its impact on judicial decisions in global practice. It review current trends, problems and prospects related to the use of AI in the legal system. It also analyzez the legal, ethical and social aspects of the involvement of AI in court procedures. In addition, the article offers conclusions and recommendations for the further development of this technology in legal practice.

DEVELOPMENT OF THE ENTERPRISE MANAGEMENT SYSTEM THROUGH THE IMPLEMENTATION OF INTERNATIONAL FINANCIAL REPORTING STANDARDS

Explain the concept of consolidated financial statements, parent company, subsidiary company according to international and national standards. To study the composition of consolidated reports, the consolidation process, the principles of consolidation. Study the types of controlled entities, taking into account the proportion of voting rights held by the investor and the standards that govern them. Define the concept of control according to international standards and identify the factors that influence the determination of whether the investor controls the investee. The purpose of the paper is to develop methodological and practical recommendations for preparing group management reporting in accordance with international standards. Consolidated reporting should be prepared to identify the results of the analysis of the state and activities of the holding, there is a need to transform consolidated reporting in accordance with IFRS for entering the international market and attracting foreign investment. Methodology. The research is based on the application of general scientific techniques and methods. The methods of detailing, analysis and synthesis, deductive and inductive approach have been used to clarify the concept of "IFRS". The methods of selective observation and historical argumentation of the researched problems are applied – to generalise the unsolved problems of IFRS. Results. Consolidated financial statements undoubtedly contain important information for making financial and management decisions. Intra-group transactions can give an unrealistic picture of the activities of a group of companies, their sales, calculations, stocks and financial results; therefore, consolidated reporting gives a more objective picture of the operations and financial status of a single economic unit and does not replace the individual financial reports of group companies, since transactions between group members are not taken into account during consolidation. Practical implications. The concepts of consolidated financial statements, parent company, subsidiary company according to international and national standards are revealed. The composition of the forms of consolidated reporting, the consolidation procedure, the principles of consolidation are considered. The types of controlled entities, taking into account the investor's share of voting rights, and the standards governing them are presented. The concept of control in accordance with international standards is defined and the factors influencing the determination of whether the investor controls the investee are presented. Value/originality. Methodological and practical recommendations have been developed for the preparation of group management reporting in accordance with international standards.

The Influence Of The Development Of Artificial Intelligence Technology In The Industrial Field

Artificial Intelligence (AI) has become a significant development of information and communication technology in the last ten years. However, its implementation in Indonesia is still relatively low due to constraints on worker skills and insufficient infrastructure investment. Nonetheless, AI has the potential to improve business performance, such as in the use of cloud computing. The application of AI in the industry requires changes and adjustments to technological developments. The use of AI is significantly affecting various sectors and people's lifestyles, and governments have an important role to play in providing technology-based services. The purpose of this study is to examine the influence of AI in the industrial sector, understand its development in Indonesia, and analyze the positive and negative impacts of using AI in the future. This study uses a descriptive method combined with qualitative content analysis techniques and field reviews. The descriptive method is a research method that aims to obtain an objective picture of the situation. Thus, the implementation of AI in Indonesia still needs to be improved by overcoming skills and investment constraints. Governments should play an active role in supporting the development of AI in the industry while considering its positive and negative impacts in the future

Behavioral Welfare Research for the Management of Sanctuary Chimpanzees (Pan troglodytes).

Chimp Haven is a sanctuary for chimpanzees retired from biomedical research, rescued from the pet trade, or re-homed after other organizations could no longer care for them. To provide optimal care for over 300 chimpanzees, Chimp Haven's animal care team includes experts in behavioral science, veterinary treatment, and husbandry practices. To aid these teams in making routine welfare management decisions, a system of behavioral metrics provides objective data to guide decisions and track outcomes. Chimp Haven has built and piloted seven behavioral metric protocols over the past 5 years to provide staff with an objective and comprehensive picture of the chimpanzees' behavioral welfare. The data from behavioral observations, staff surveys, and routine staff documentation are analyzed and processed through Google Forms, ZooMonitor, Microsoft Power Bi, Microsoft Excel, and R. Each metric assists staff in making data-based decisions regarding the management of captive chimpanzees related to abnormal behavior, hair loss, wounding, social relationships, positive reinforcement training and overall wellness. In this article, we explore examples of each metric and how they have been utilized to monitor and make decisions for both social groups of chimpanzees as well as individuals. These metrics can be collected and shared easily in an understandable format, which may provide an important framework for others to follow to enable the tracking of welfare for other sanctuaries, non-human primates, as well as other species.

Analisis Laju Pertumbuhan Dan Kontribusi Penerimaan Pajak Reklame Terhadap Pendapatan Pajak Daerah (Studi Kasus Pada Kantor Badan Pendapatan Daerah Kabupaten Sikka)

The purpose of this study was to determine and analyze the Growth Rate and Contribution of Advertising Tax Revenue to Sikka District Regional Tax Revenue. The type of research used is descriptive-quantitative. Quantitative-descriptive is a method that aims to create an objective picture or description of a situation using numbers starting from data collection, interpretation of the data as well as the appearance and results. The data analysis technique in this study uses the growth rate analysis formula and the contribution formula. The results of this study show that the average growth rate of advertisement tax revenue for 2017-2021 reaches 72% and the growth rate of local tax revenue reaches 49%. The average contribution of advertisement tax revenue to regional taxes in 2017-2021 reached 1.07% with very low criteria. Efforts made by BAPENDA of Sikka Regency to increase advertisement tax revenue through intensification and extensification.

Prerequisites, International Context and Features of NATO’s Proxy War against Russia in Ukraine (2022–2023)

The purpose of the article is to clarify the prerequisites, international context, and features of the armed conflict in Ukraine, which in the conditions of a Special Military Operation (SVO) has acquired the character of a protracted and exhausting proxy war between Russia and NATO countries. By now, Russian social scientists have generally developed an adequate understanding of the causes of the war and the goals of the warring parties. Their methodological position is clear and is mainly determined by political attitudes that have been repeatedly voiced by the President of the Russian Federation, the Head of the Russian Foreign Ministry, other senior officials, and representatives of interested departments. As a rule, this does not raise questions since the official Russian position is not actually imbued with ideology. At the same time, the publications of Western political scientists, experts, and journalists, especially those who adhere to the realistic paradigm, deserve attention. Their assessments and forecasts contribute to the formation of an objective picture of the Ukrainian crisis. During the study, it was found that the intentions of the NATO countries led by the United States, and, therefore, the background of their rivalry with Russia, have not changed during the SVO. They still expect to inflict a strategic defeat on our country and thereby prolong the existence of a unipolar world. Believing in Russia’s weakness, Western elites associate the end of the conflict with the victory of the Kiev regime on the battlefield. Therefore, the United States and its NATO allies continue to saturate Ukraine with more and more modern weapons. The main sponsor and organizer of the ongoing war is the United States, which pays two-thirds of Ukrainian military expenses. At the same time, their behavior is characterized by caution and even a certain responsibility. The United States fears an uncontrolled escalation of the conflict, every time it emphasizes its non-involvement in military actions and seeks to localize them within the borders of Ukraine. Even though the Russian Federation is also wary of striking at the territory of NATO countries, the conflict between them continues to develop in an escalating spiral. The war is gradually moving beyond the mediated relations between Russia and the countries of the North Atlantic Treaty Organization. With the expansion of supplies of increasingly destructive weapons and the direct involvement of NATO members in the confrontation with the Russian military, it acquires a full-fledged character with the prospect of going beyond the borders of Ukraine and using unconventional weapons.

ObScene database: Semantic congruency norms for 898 pairs of object-scene pictures

Research on the interaction between object and scene processing has a long history in the fields of perception and visual memory. Most databases have established norms for pictures where the object is embedded in the scene. In this study, we provide a diverse and controlled stimulus set comprising real-world pictures of 375 objects (e.g., suitcase), 245 scenes (e.g., airport), and 898 object–scene pairs (e.g., suitcase–airport), with object and scene presented separately. Our goal was twofold. First, to create a database of object and scene pictures, normed for the same variables to have comparable measures for both types of pictures. Second, to acquire normative data for the semantic relationships between objects and scenes presented separately, which offers more flexibility in the use of the pictures and allows disentangling the processing of the object and its context (the scene). Along three experiments, participants evaluated each object or scene picture on name agreement, familiarity, and visual complexity, and rated object–scene pairs on semantic congruency. A total of 125 septuplets of one scene and six objects (three congruent, three incongruent), and 120 triplets of one object and two scenes (in congruent and incongruent pairings) were built. In future studies, these objects and scenes can be used separately or combined, while controlling for their key features. Additionally, as object–scene pairs received semantic congruency ratings along the entire scale, researchers may select among a wide range of congruency values. ObScene is a comprehensive and ecologically valid database, useful for psychology and neuroscience studies of visual object and scene processing.

Pengaruh Digital Payment Gateway (OVO) Terhadap Kinerja Keuangan UMKM

The use of OVO digital payments is increasing in Indonesia, especially among people who rely on MSMEs as their source of income. The aim of the research on the Effect of Digital Payment Gateway (OVO) on the Financial Performance of MSMEs is to understand the impact caused by the adoption of the use of digital payment systems such as OVO on the financial performance of MSMEs. The method used is quantitative descriptive, aiming to create an objective picture or description of a situation using numbers, starting from data collection, interpreting the data. Based on the results of the data validity test which includes the validity test and reliability test, it is known that the data validity test for each variable is the digital payment variable (X) and the MSME financial performance variable (Y). has a Sig(2-tailed) value that is smaller than the specified error significance value or error level so that the validity test is fulfilled. Payment gateway provides tools to process payments between costomers, businesses and banks. Payment is the most important part of a transaction between customers, businesses and banking institutions which are both used.

Unravelling and understanding local perceptions of water quality in the Santa basin, Peru

Water quality is an integral part of water security. Measuring the physico-chemical indicators for water quality can provide an objective picture of water health, but it does not provide information on lived experiences related to water quality, expectations of water resources, nor how the quality of water affects its usage. Perceptual information and traditional ecological knowledge on water quality can help to understand interactions between water and people, and thereby support locally appropriate sustainable water resource strategies. Accordingly, our project sought to collect and synthesise insights from local perspectives on water quality in the upper Santa River basin, Peru, a region where water quality directly relates to people’s livelihoods. Perceptual data was collected via the Nuestro Rio mobile app (N = 149) as well as walking interviews (n = 84) (July-August 2021) in two main study areas, Olleros and Catac. We find that water quality perspectives differ within, and between, study areas and communities, however four overarching themes were identified, and are explored here: i) environmental indicators for water quality; ii) water uses; and iii) perceived causes of water quality; iv) water quality perceptions behind emotions. Most rural participants felt the main cause of poor water quality was mineral pollution, likely linked to local geology, however we also found that local perceptions of water quality depend on water usage, directly linked to domestic water use and agricultural livelihoods. Qualitative data highlighted the complex relationships between water quality, perceptions and emotions. More inclusive citizen-based science that considers what people observe, think and feel about the quality of their rivers can help provide a much deeper contextual understanding of dynamic human-water systems, with further benefits for improving water management and policy implementation.

Vocabulary development and biliteracy in Yorùbá and English among young bilinguals

In Nigeria and other countries in West Africa, English, French, and Portuguese languages are acquired or learned and used alongside the indigenous languages for various communication purposes as applicable. Previous studies have noted that Yorùbá language does not have an equal usage as being critical for bilingual mastery attainment as the English language. This study examines literacy development patterns among typically developing Yorùbá-English bilingual children to further our understanding of oral and literacy proficiency. Based on qualitative methods, cross-sectional data were obtained. Oral and literacy data were acquired by interview, specialized wordlist, written texts, and pictorial objects. Children were purposively selected for a stratified assessment as representative of their literacy levels (3 aged 2-3, 4 aged 4-6, and 5 aged 7-10). All participants were ages 2 to 10 years and lived in Ilorin metropolis. Data were subjected to descriptive analysis. Based on experiments, for instance, if the stimulus are words, the results showed that the word frequencies in the two languages do not enjoy the same value outcome, English >> Yorùbá. Significant outcomes showed that literacy in English language is on the positive end of the spectrum while literacy in Yorùbá language is on the opposite end. Most of the children paid more attention to English tasks, hence performed above average. Using the different age groups and educational levels as a continuum, it was generally observed that literacy depends largely on a child’s cognitive alertness. The study concludes by linking the obvious gap in the initial observation to foundation lapses.

Representation of Fisha's Female Image in the Novel Tears of God by Aguk Irawan M.N

This study aims to: to obtain an objective picture of the representation of the female image of Fisha in the Novel Air Mata Allah by Aguk Irwan M.N. The approach used in this study is a qualitative research approach. The qualitative research approach is a research procedure that produces descriptive data in terms of physical images and psychic images. Analysis and discussion of the image of Fisha Agustina in the Novel Tears of God, tells about the journey and struggle of Fisha's character in facing various complex life problems.

Dimensionality reduction technique under picture fuzzy environment and its application in decision making

The notion of soft matrix plays a vital role in many engineering applications and socio-economic and financial problems. A picture fuzzy set has been used to handle uncertainty data in modeling human opinion. In this work, we recall the picture fuzzy soft matrix concept and its different subsequent classes. Also, different kinds of binary operations over the proposed matrices have been provided. The main contribution of this paper is that using the concept of choice matrix and its weighted form and the score matrix, a new algorithm for decision-making has been outlined by considering the picture of fuzzy soft matrices. The current challenge In the decision-making problems is that many qualitative and quantitative criteria are involved. Hence, the dimensionality reduction technique plays an essential role in simplicity and broader applicability in the decision-making processes. We present an algorithm for the reduction process using the proposed definitions of the object and parameter-oriented picture fuzzy soft matrix and the technique to find the threshold value for the provided information. Then, illustrative numerical examples have also been provided for each proposed algorithm. A detailed comparative study of the proposed techniques has also been carried out in contrast with other existing techniques.

Early 1960s Public Library Activity in the Penza Region

In the course of attracting the public to the work of cultural institutions in the context of building a communist society in the Penza Region, libraries were created on a voluntary basis since 1961. Public libraries in the USSR were a form of Public participation in cultural and educational work, the popularization of books, and library management. The study of the formation of a network of libraries on a voluntary basis at the regional level allows you to recreate an objective picture of the daily life of the population within the indicated chronological framework; supplement historical knowledge of the content and forms of activity of the authorities and the public to improve the cultural and educational level of citizens.
 The study of the practice of libraries on a voluntary basis in the early 1960s. in the Penza Region made it possible to identify the main trends and difficulties in the development of such a form of providing books to the Soviet population, to determine the vector of the subsequent study of the scientific problem.