Work Of Analysts Research Articles

Facilitating Greater Understanding of Trauma-Informed Care in Applied Behavior Analysis: An Introduction to the Special Issue.

Trauma-informed care (TIC) refers to the guiding principles that inform how organizations or individuals arrange services with respect to acknowledging both the prevalence and impact of trauma. Given the elevated risks of trauma in the populations with which many behavior analysts work, clarifying why, how, and if TIC should be incorporated into behavior analytic work seems prudent. Although the core commitments of TIC are inherently aligned with ethical and effective applied behavior analytic practice, there are few exemplars of how TIC can be intentionally incorporated into behavioral assessment and treatment. This special issue is intended to begin to fill that gap, as well as to promote further discussion of the benefits and limitations of TIC in ABA. In this introduction, we review both the prevalence and potential outcomes of trauma, as well as attempting to dispel misconceptions about TIC that appear common among the behavior analytic community. We highlight how the articles in the special issue are important in developing an evidence base for TIC in ABA, as well as suggesting areas for future research.

유고슬라비아 연방의 해체, 그리고 ‘포스트-유고슬라비아(Post-Yugoslavia)’ 연구를 위한 일례(一例)

The retrospective work of political analysts studying “post-communism” issues has so far been limited to the study of each of the republics that were part of the Yugoslav federation. Now, more than 30 years after 1992, the study of “post-Yugoslavia” must move in the direction of examining the cultures of each of its members, both individually and in combination. Slovenia, Croatia, Serbia, Bosnia-Herzegovina, Montenegro, North Macedonia, and Kosovo, the former members of the Federal Republic of Yugoslavia, shared a common history of “Yugoslavia” and “Communism,” but they have already gone their separate ways for more than 30 years, resulting in different economic and political outcomes. Now that the political and economic consequences have been realized, it is time to look to a different future, not back to the past. “Post-Yugoslavia,” meaning “after the breakup of the Federal Republic of Yugoslavia,” and post-Yugoslav studies, meaning “after the dissolution of the Yugoslav federation,” are not terms limited to politics, economics, language, or literature as they have been. In this paper, I will argue that, more than three decades after the breakup of the former Yugoslavia, ‘Post-Yugoslavia’ studies have been primarily concerned with the political and economic spheres. It is time to shift the focus of scholarly research away from such tendencies and towards the social and cultural spheres, presenting as examples the common culture of the former Yugoslavia and its individual development after independence.

Relational Work and Accounting: What Venture Capital Analysts Do with Accounting and Other Information in Situations of Uncertainty

Analysts in venture capital (VC) organizations are important mediators in the entrepreneurial economy, operating as both ‘scouts’ and ‘coaches’ of early-stage ventures. Research shows that these analysts invest heavily in collecting and scrutinizing accounting and a wide range of other information at all stages of their work. However, we lack an integrative theorization of how, in the presence of fundamental or ‘Knightian’ uncertainty, analysts effectively use this information. We explore this topic through interviews with VC analysts and project makers operating in Denmark in 2009 and 2010. Drawing on and extending the work of Viviana Zelizer, we show, firstly, how the multiple, different uses of accounting and other information function in relation to each other and the communication and transformation of social relations. Each stage of analyst work involves a double movement in which economic media is differentiated and the relationships between analysts and project makers and their ventures are created, negotiated, maintained, and changed. Secondly, we show how this double movement provides an indirect and ‘ontological’ mode of handling situations of uncertainty in which accounting information adds matter and form to the new business venture. We conclude by exploring opportunities for further applications of relational work in accounting research.

Theoretical and methodological aspects of tax analysis for the company

Tax committees routinely scrutinize the accrued tax payments, assessing their dynamics through data extracted from tax registers, financial and tax reports. This analysis unveils various reasons for non-payment of tax liabilities and pinpoints factors influencing the formation of the tax base. Adhering to the provisions of the Tax Code of the Republic of Kazakhstan is crucial for accurately determining the tax base for each type of tax. The analytical process unfolds in stages throughout the reporting year, enabling the tracking of tax liabilities’ dynamics, identification of unpaid amounts, monitoring changes in tax policy, and evaluating the impact of tax changes on the overall tax burden. In addition, it should be noted that all the work of analysts is aimed at preventing tax offences. As sources of analysis we recommend using primary accounting data, tax accounting data in the form of tax registers, financial and tax reporting. A tax analysis is necessary in order to answer the question of how much the company pays taxes to the budget. Based on the tax analysis data, each manager independently determines the optimal tax burden and, depending on this, takes measures for tax planning. Based on the results of the tax analysis, it is possible to determine which taxes are repaid on time, and, if necessary, develop specific measures to reduce the tax burden. Given the evolving landscape of the digital economy in Kazakhstan, the relevance of studying tax analysis becomes imperative. The article comprehensively explores the essence, purpose, and objectives of enterprise tax analysis, delves into the information support necessary for tax analysis, and proposes a systematic approach to indicators for effective tax analysis.

On Monitoring of mining explosions conducted on the territory of the former Semipalatinsk Test Site

Several mineral deposits located on the territory of the former Semipalatinsk Test Site (STS) conduct active blasting activity. The largest number of explosions is carried out at the Karazhyra coal mine. These explosions are recorded by stations of the IGR NNC RK network, three of them are part of the International Monitoring System. These are seismic arrays Borovoye (AS057), Makanchi (PS23), Kurchatov-Cross (AS058). The distances to the mines from these stations are 668 km, 452 km, 68 km, respectively. In total, about 2800 explosions were recorded during 19 years of observations. The analysis of the results of routine processing on operational seismic bulletins of the IGR NNC RK Data Center has shown that the field of received epicenters of explosions exceeds the size of the quarry. A detailed processing of explosions waveforms was carried out to find out the reasons of this scatter. Geotool and DTK – GPMCC software included in the NDC-in-a Box package was used to process and analyze the waveforms. It was found that back azimuth values for different regional phases Pn, Pg, Sn, Lg differ from each other and have different dispersion. There are systematic deviations of back azimuths for some phases from the true one. A clear dependence of the epicenter determination accuracy on the energy (power) of the explosion was noted. Subjective factors in the work of analysts that affect the accuracy of estimates are also found. Processing recommendations to improve accuracy were given for analysts of Kazakhstan National Data Centre (KNDC).

Power Dynamics in Discussions of Contemporary Jungian Theory and Practice.

Groups of Jungian analysts, which included the present authors, met to discuss four key theoretical concepts, each of which was felt to have problematic aspects if used unquestioningly in contemporary practice. The concepts were: The Primitive, Inner and Outer Worlds, Contrasexuality and Participation Mystique. The discussions were informed by clinical material and specific papers chosen for their critical evaluation of the topic. Four recorded transcripts were made, with permission, for further consideration of the relationship between contemporary Jungian theory and practice using the research method of thematic analysis. Three main themes were identified: Work of Analysis, Frames of Reference and Power Dynamics. The authors discuss the themes in relation to the overarching theme of power, understood as operating at conscious and unconscious levels. The artwork "Cold Dark Matter: An Exploded View" by Cornelia Parker is used as a metaphor in discussing the dynamic of challenging foundational concepts. The authors suggest that power dynamics are intrinsic in both the difficulty and the benefits of critically evaluating key concepts, binding together the theoretical (what informs us) with the clinical (what we do in the consulting room) as well as blowing apart pre-conceived notions of what underpins the analyst's work.

Machining technologies to compute the psychological-financial index

Subject. This article deals with the issues of measuring the emotions of financial decision-makers based on machine learning technologies in finance. Objectives. The article aims to develop a methodology for measuring emotions in the financial sector, algorithms and software based on artificial intelligence for its implementation in finance. Methods. For the study, we used the methods for marking up text data, index method, machine learning methods, computer technologies for natural language processing, methods for assessing emotions with their own rating scale, induction and deduction, and statistical methods for processing observation results. Results. The article reveals the content of methods for comprehensive measurement of the emotions of financial decision-makers. Software tools were created to implement machine learning technologies when computing an emotion measurement index. Conclusions and Relevance. A psycho-financial index based on automatic calculation using new machine learning technologies provides fundamental analysts of financial markets with an analytical tool that brings the forecast result closer to real conditions, when the emerging combinations of traditional and psychological indicators in the markets provide a new interpretation of current events. This improves the quality of analytical work and improves its results. The result can be used in the work of a fundamental analyst of financial markets. The use of new indicators complements and expands the classic analytical tools and improves the quality of market forecasts.

The End of the Policy Analyst? Testing the Capability of Artificial Intelligence to Generate Plausible, Persuasive, and Useful Policy Analysis

Policy advising in government centers on the analysis of public problems and the developing of recommendations for dealing with them. In carrying out this work, policy analysts consult a variety of sources and work to synthesize that body of evidence into useful decision support documents commonly called briefing notes. Advances in natural language processing (NLP) have led to the continuing development of tools that can undertake a similar task. Given a brief prompt, a large language model (LLM) can synthesize information in content databases. This article documents the findings from an experiment that tested whether contemporary NLP technology is capable of producing public policy relevant briefing notes that expert evaluators judge to be useful. The research involved two stages. First, briefing notes were created using three models: NLP generated; human generated; and NLP generated/human edited. Next, two panels of retired senior public servants (with only one panel informed of the use of NLP in the experiment) were asked to judge the briefing notes using a heuristic evaluation rubric. The findings indicate that contemporary NLP tools were not able to, on their own, generate useful policy briefings. However, the feedback from the expert evaluators indicates that automatically generated briefing notes might serve as a useful supplement to the work of human policy analysts. And the speed with which the capabilities of NLP tools are developing, supplemented with access to a larger corpus of previously prepared policy briefings and other policy-relevant material, suggests that the quality of automatically generated briefings may improve significantly in the coming years. The article concludes with reflections on what such improvements might mean for the future practice of policy analysis.

Epistemic governance of evaluative practices by organizations: The case of sovereign credit ratings

Financial analysts often work for organizations, such as brokerage houses, banks, and credit rating agencies. We ask whether these organizations condition the work of analysts and, if so, how and why. Through a qualitative study of the sovereign government rating departments of four credit rating agencies, our paper sheds light on the bundle of social practices and material arrangements through which rating agencies shape the evaluation work of financial analysts. Our findings indicate that this bundle is designed to resolve the dilemma that characterizes rating agencies - namely, how to elevate the standing of ratings from subjective opinions to collective knowledge. We label these processes the “epistemic governance” of evaluation practices and comment on their implications for critical management and organization studies.

The use of reflective conversations as a professional development tool – a narrative exploring the experiences of a performance analyst working in semi-elite football

ABSTRACT Previous research into the use of reflective techniques, in applied sports environments, has tended to focus on the experiences of coaches. However, with the increasing professionalization of sports, coaches no longer stand alone as the focus for research into the professional development experiences of individuals. Yet, there is only limited research into the professional development of performance analysts. Consequently, this research sought to understand how a performance analyst could use reflective conversations with coaches, players, and expert analysts as a tool for professional development. The research adopted an autoethnographic approach to investigate the use of reflective conversations as a tool for professional development for a performance analyst. The data collection and analysis process followed three stages for Martin, the performance analyst the heart of the research: living the story, telling the story, and retelling the story. Through this process, two vignettes were written about Martin’s experience engaging in reflective conversations; ‘Delving Deeper’ and ‘A mirror conversation’. These vignettes highlighted the importance of Martin engaging in reflective conversations in order to develop strategies to manage professional issues as well as being beneficial in helping him to understand the opportunities for professional growth available within his role.

The role of sustainability integration into the corporate strategy – A perspective on analysts’ perceptions and buy recommendations

Sustainability is playing an increasingly important role in analysts' assessments of companies. Companies can address this importance through a sustainability strategy by choosing between a sustainability strategy independent from the corporate strategy (standalone sustainability strategy) or integrating sustainability into their corporate strategy (integrated strategy). For this purpose, we investigate the effects of different stages of sustainability integration into the corporate strategy on analysts' perceptions and buy recommendations. Our results show that analysts favour an integrated strategy over a standalone sustainability strategy. This finding is reflected in higher analysts’ perceptions of an integrated strategy. While a standalone sustainability strategy leads to fewer buy recommendations, an integrated strategy does not affect buy recommendations. We discuss our findings in relation to stakeholder theory and voluntary disclosure theory. Our study contributes to understanding how analysts perceive different stages of integrating sustainability into the corporate strategy. This understanding is relevant as analysts work as intermediaries in the capital market between companies and investors.

ORGANIZATION AND AUTOMATION OF INCIDENT INVESTIGATION AND RESPONSE PROCESSES USING SIEM

This article discussed how to organize and automate incident investigation and response processes using SIEM systems. These days, security operations centers (SOCs) face numerous challenges and problems that can negatively impact their ability to detect, investigate, and respond to security incidents. Some of the major challenges include the increasing volume and complexity of security alerts, the shortage of qualified cybersecurity professionals, the use of disparate security tools and systems, and the need to comply with various regulatory frameworks. In this research, the authors developed detection rules that address the needs for accuracy and specificity to avoid false positives that can lead to unnecessary alerts and undermine the effectiveness of automated response systems. The proposed detection rules have been thoroughly tested on real security incidents to ensure their reliability and effectiveness. The authors of this study, in their work, proposed playbook development methods and SIEM correlation rules, and developed detection rules that enable automatic incident response, thereby facilitating the work of SOC analysts.

The importance of appearing trustworthy in the workplace: performance analysts’ perspectives

ABSTRACT The discipline of performance analysis is founded upon the collection and analysis of objective and reliable data to support the coaching process. While research has begun to identify the potential importance of trust in applied sporting environments, there remains a paucity of inquiry that seeks to explicitly investigate trustworthiness in the work of performance analysts. To redress this situation Jisc online survey data was collected from performance analysts (n = 88, age: 37 ± 11 years, experience: 8 ± 6 years) practising across sporting contexts and geographic areas. Findings showed that: (1) appearing trustworthy to a range of working others was an important goal for performance analysts, (2) trustworthiness was considered essential for building positive working relationships, respect and perceptions of role-related competence (3) being perceived as trustworthy can generate desirable as well as help to avoid undesirable working conditions, including career progression and employment security, (4) analysts often seek to influence others perceptions of their trustworthiness by demonstrating important characteristics such as technical and tactical knowledge, being friendly and approachable, being punctual and hardworking, and evidenced-based, (5) an important facet of this was, often in conjunction with the coaching staff, concealing known information, particularly to athletes regarding poor performance to avoid psychological damage or where the data did not fit the coach’s approach, and (6) most performance analysts suggested the professional preparation and development of performance analysts needs to place greater emphasis on facilitating social sensibilities that practitioners can use to enhance perceptions about their workplace trustworthiness. The findings of this study generate new knowledge regarding the social features of performance analysis work, thus contributing to a growing critical social analysis of sport work in performance environments, as well as raising important practical implications for those responsible for educating the performance analysis workforce.

Permethylation as a strategy for high-molecular-weight polysaccharide structure analysis by nuclear magnetic resonance-Case study of Xylella fastidiosa extracellular polysaccharide.

Current practices for structural analysis of extremely large-molecular-weight polysaccharides via solution-state nuclear magnetic resonance (NMR) spectroscopy incorporate partial depolymerization protocols that enable polysaccharide solubilization in suitable solvents. Non-specific depolymerization techniques utilized for glycosidic bond cleavage, such as chemical degradation or ultrasonication, potentially generate structural fragments that can complicate complete and accurate characterization of polysaccharide structures. Utilization of appropriate enzymes for polysaccharide degradation, on the other hand, requires prior structural knowledge and optimal enzyme activity conditions that are not available to an analyst working with novel or unknown compounds. Herein, we describe an application of a permethylation strategy that allows the complete dissolution of intact polysaccharides for NMR structural characterization. This approach is utilized for NMR analysis of Xylella fastidiosa extracellular polysaccharide (EPS), which is essential for the virulence of the plant pathogen that affects multiple commercial crops and is responsible for multibillion dollar losses each year.

Correlation Analysis between Realtime Analyst’s Work, Key Performance Indicator and Service Level

The purpose of this study, which was started in response to the growth of business process outsourcing (BPO) in the Philippines, is to determine how real-time analyst work affects KPIs and service levels. This study utilizes secondary data from the Realtime Analyst's Reports for the period of June 2022 to June 2023. Shrinkage, attrition, and absenteeism data were the top three aggregated Key Performance Indicators that were statistically examined. As a result, it was highlighted that RealTime Analyst's work constitutes a foundation for how aggregated Key Performance Indicators affected Service Level.

Western Estimates of Russian Military Capabilities and the Invasion of Ukraine

ABSTRACT The poor performance of the Russian military during the invasion of Ukraine came as a surprise to many in the West. This prompted a debate about why Russian capabilities had been overestimated. Fingers were pointed at the work of Western military analysts who, in the eyes of some critics, had based their estimates almost entirely on numbers and technology, resulting in mistaken predictions of a quick and decisive Russian victory. It has since been suggested that changes to the practices of Western military analysis are required if similar future failures are to be avoided. This article takes stock of this debate, proposing that the reasons for Western overestimates of Russian military capabilities and the lessons to be learned from this are far more complex than suggested by the critics. Discussing the political nature of military assessments and defense debates, the problems inherent in military analysis, and the difficulties associated with predicting outcomes in war, it concludes that laying blame for overestimates of Russian military power on Western experts is a fallacy. Expectations of achieving accurate future military assessments by refining the analytical base need to be tempered.

A study into the relationship between the type of Japanese candlesticks of a nationally significant exchange-traded asset and investor sentiment in the national financial market

Subject. This article examines the relationship between the type of Japanese candlesticks of a nationally significant exchange-traded asset and investor sentiment in the national financial market. Objectives. The article aims to determine the relationship between the type of Japanese candlesticks for a nationally significant asset traded on the national stock exchange and the sentiments of financial market participants. Methods. For the study, we used the methods of induction and deduction, statistical methods for processing the results of observations, and the method of physiognomy in determining the emotions of persons making investment decisions. Results. The article determines the type of Japanese candlesticks for a nationally significant asset traded on the national stock exchange and the sentiments of financial market participants. Conclusions. When taking into account new indicators, the analyst has the means to bring the forecast result closer to real conditions, when, in addition to traditional indicators, combinations of technical analysis tools and psychological indicators in the markets give a new interpretation of the events taking place there. This improves the quality of analytical work and its results. The results of the research described in the article can be applied in the work of a market analyst. The use of new indicators complements and expands the classic analytical tools, improves the quality of market forecasts.

Fundamental analysis vs technical analysis: Are investors' long and short positions related to their sentiment?

Subject. This article examines the relationship between long and short positions of investors and their sentiment. Objectives. The article aims to determine the relationship between the emotional component and the sector of investment. Methods. For the study, we used the methods of induction and deduction, statistical methods for processing the results of observations, methods of physiognomy in determining the emotions of investment decision makers. Results. The article reveals the content of methods for taking into account the emotions of investors when choosing an investment sector and describes the results of research on practical situations in the field of investment decision-making based on fundamental and technical analyses. Conclusions and Relevance. When taking into account new indicators, the analyst has the means to bring the forecast result closer to real conditions, when in addition to traditional indicators, emerging combinations of traditional and psychological indicators in the markets give a new interpretation of the events taking place there. This improves the quality of analytical work and its results. The use of new indicators complements and expands the classic analytical tools, improves the quality of forecasts in the markets. The results of the research described in the article can be applied in the work of a nowadays market analyst.

Canaries in the Mind: Reflections on Paul Lippmann and the World of Dreams.

Nowhere do we see the beauty of our struggles so clearly as in the world of dreams. This past year saw the passing of one of our most creative and inspiring poets of the world of dreams, Paul Lippmann. In this paper, I speak from and about the world of dreams, recognizing ways in which they call to our attention aspects of experience which, unparsed, leave us caught emotionally. Considered will be the dream itself, its forms and functions, ways in which our emotional tangles within the dream space become visual pictograms. Bion suggested that the purpose of psychoanalysis is to enhance the capacities for feeling, thinking and dreaming. The dreaming process is enhanced by and in the psychoanalytic session. Through the dream work of analyst and analysand, dream elements become more fully elaborated into meaningful symbols that enrich the evolving narratives within the sessions. I will also consider ways in which psychosocial perspectives and psychoanalytic field theory have enhanced our understanding of and ability to make sense of our dreams, providing an enlarged playing field beyond the reconstructive efforts of early psychoanalysis.

Collecting and analyzing news from newspaper posts in facebook using machine learning

Many people use social networks to spend their free time. News, especially at the time of great world changes, began to gain considerable popularity. Washington Post, New York Times, Time, Reuters, Forbes are among the most famous global newspaper publications. An average analyst can spend up to 40 hours a week collecting information about competitors and researching the most popular posts. According to the conducted research, an average of 40 new posts with news per day. The data processing process can be automated using modern information tools to facilitate the routine work of analysts. To analyze the target audience and reach, it is worth considering the text of the message, the number of likes, comments and links. This information was obtained using the Selenium automated web page testing tool using the Java programming language. The time spent on collecting data in the described way from four newspaper editions amounts to approximately 12 hours. The Tensorflow library using the JavaScript programming language is applied to the collected information. Based on information about the number of shares, comments, likes, frequency of news posts, an analysis was carried out using machine learning algorithms. Based on the clustering data, we can observe such a tendency that posts with a large number of likes receive a large number of comments and vice versa. An analysis of the most active hours of users in the network based on news posts is performed. As a result, the highest activity is observed at least three times a day, namely: in the morning hours from 9:00 to 11:00, in the lunch time of the day from 12:00 to 15:00 and in the evening time period from 18:00 to 20:00. This trend is due to the work schedule of most employees during the working week. The resulting statistical information in the work can be used for other content or user behavior in social networks.