Systematic Data Analysis Research Articles

MARKETING IN THE STUDY OF REGIONAL TOURIST MARKETS

The article examines the concept of the market as a specific factor for the development of the country's economy, deepens the understanding of the concept of marketing research, reveals its essence and role, characterizes the most common types of research on regional tourism markets. The current state of the global and regional tourism markets has been analyzed, and the main trends in their development have been determined.. It was established that marketing market research can be defined as the systematic collection, accounting and analysis of data on marketing and marketing problems in order to improve the quality of decision-making and control procedures in the marketing environment. It has been proven that currently marketing research of regional tourism markets is a necessary condition for successful activity and decision-making.

ART in Latin America: the Latin American Registry, 2020.

What was the utilization, effectiveness and safety of assisted reproductive technology (ART) in Latin America during 2020? Retrospective collection of multinational data on ART performed by 188 institutions in 16 countries. Overall, 87,732 initiated cycles resulted in 12,778 deliveries and 14,582 births. The major contributors were Brazil (46.0%), Mexico (17.0%) and Argentina (16.8%). However, the highest utilization (cycles/million inhabitants) was Uruguay with 558, followed by Argentina with 490 and Panama with 425 cycles/million. Globally, women aged ≥40 years increased to 34% while women ≤34 dropped to 24.7%. After removing freeze-all cycles, the delivery rate per oocyte retrieval was 14.8% for intracytoplasmic sperm injection and 15.6% for IVF. Single-embryo transfer (SET) represented 38.3% of all fresh transfers, with delivery rate per transfer of 20.0%; this increased to 32.4% for elective SET (eSET) and 34.2% for blastocyst eSET, compared with blastocyst elective double embryo transfer (eDET) of 37.9%. However, multiple births increased from 1% in eSET to 30.5% in eDET. Perinatal mortality increased from 7.7‰ in singletons to 24.4‰ in twins and 64.0‰ in triplets. Frozen embryo transfer (FET) represented 66.6% of all transfers, with a delivery rate/transfer of 29.0%, significantly higher than 23.9% after fresh transfers at all ages (p<0.0001). Preimplantation genetic testing, reported in 8920 cycles, significantly improved delivery rate and decreased miscarriage rates at all ages (p≤0.041), including oocyte donation (p=0.002). Endometriosis was diagnosed in 28.3% of cases. The delivery rate in 5779 women after removal of peritoneal endometriosis was significantly better than tubal and endocrine factors in women aged 35-39 (p=0.0004) and women aged ≥40 (p=0.0353). Systematic collection and analysis of big data in a south-south cooperation model allow regional growth by implementing evidence-based reproductive decisions.

How Mass Public Shooters Use Social Media: Exploring Themes and Future Directions

This mixed-methods study examines social media use among public mass shooters in the United States as an extension of a comprehensive database of 170 mass shooters from 1966 to 2021. Here, we report findings from a systematic content analysis of public data and detailed timelines that were constructed for 44 mass shooters’ social media habits and changes to those habits during the period of time leading up to their shooting. The paper also presents as a case study, a sentiment analysis, and term-linkage network for one perpetrator’s total 3,000 tweets. Several themes were found in the data—there were shooters who changed their posting habits and in some cases, stopped using social media entirely in the lead up to their crime; shooters who used hate speech and were “radicalized” to violence online; shooters with a demonstrable interest in violence, who referenced past mass shooters in their own communications; shooters who exhibited signs of mental illness and suicidality; shooters who were already known to authorities; and shooters who like those described above, actively posted while shooting, presumably to boost their own celebrity status. The findings from this study provide insight into commonalities among mass shooters in terms of their social media usage, which could lead to new pathways for prevention and intervention.

ОЦЕНКА РЕЗУЛЬТАТИВНОСТИ УПРАВЛЕНИЯ КОММЕРЧЕСКОЙ МЕДИЦИНСКОЙ ОРГАНИЗАЦИЕЙ В РОССИИ

Let’s consider an important tool for determining the effectiveness of the activities of medical institutions providing paid medical services. This assessment allows you to identify the strengths and weaknesses of management, identify problematic points and develop plans for their improvement. The purpose of this study is to assess the effectiveness of the management of commercial medicine. The study will examine several aspects, including the quality of medical care, patient satisfaction, financial performance and treatment outcomes. In this paper, an analysis of financial indicators, competitiveness in the market and customer satisfaction was carried out. The following methods are used in the work: Analysis of financial indicators: assessment of revenue, profit, expenses and other financial indicators. Assessment of the quality of medical services provided: conducting an audit of medical activities to assess compliance with quality and safety standards, as well as to identify possible shortcomings and problematic issues. Surveys and interviews of employees and patients: collecting opinions and feedback from employees and patients will allow you to assess their satisfaction with the work and services of the organization. Data monitoring and analysis: Systematic collection, analysis and interpretation of data on the organization’s activities will help identify trends, problems and opportunities for improvement. Conducting a SWOT analysis: identifying strengths and weaknesses, opportunities and threats will help identify potentials for development and more effective management. The results showed that many CMOS face management problems, such as low profitability and inefficient use of resources. However, successful management models have also been identified that can be used in other CMOS to improve results. In general, the data obtained allow us to draw conclusions about the state of success of the management of commercial medical organizations in Russia, take measures for management and offer recommendations for their improvement.

Process qualification of laser powder bed fusion based on processing-defect structure-fatigue properties in Ti-6Al-4V

The aim of this manuscript is to give a compact overview of the results that illustrate the applicability of processing-structure-property relationships in the increasingly important context of 3D printing of metals. A process qualification approach based on the physics-based understanding of defect formation in laser powder bed fusion (L-PBF) additive manufacturing (AM) is investigated for an aerospace-grade titanium alloy (Ti-6Al-4V). A physically interpretable qualification approach is critical for enabling L-PBF part certification for structure-critical applications. This approach relies on systematic experimentation, characterization, testing, and data analysis tasks including design of experiments varying power and velocity to generate varying defect populations, process window development based on defect structure, high throughput fatigue testing, and fractography, 2D porosity characterization, and use of extreme value statistics to develop a porosity metric that, in turn, could have predictive power for the variation in fatigue performance. Results from four-point bend fatigue tests demonstrate that a process window can be defined based on this key mechanical property. This relatively high throughput approach can, in turn, support a reduced set of round bar fatigue tests typically used for qualification. Overall, the proposed ecosystem for process qualification of L-PBF AM shows promise and is expected to apply to other materials and powder bed fusion AM technologies. • A delineated process window for L-PBF printing with Ti-6Al-4V was identified for both porosity and fatigue in power and velocity space with all other variables fixed, which is in good agreement with previous work. • There is a distinct increase in porosity as one moves into the keyhole range (low speed, high power) or towards lack-of-fusion (high speed, low power). • Extreme value analysis (EVA) is found to be beneficial in quantifying pore sizes and frequencies. • The fatigue life measured in 4-point bend fatigue mirrors the variations in porosity, i.e., the fatigue life decreases as porosity increases and is maximal within the process window. • 4-point bend fatigue is found to be practical for screening printed material quality.

LANGUAGE EDUCATION POLICY AND FOREIGN LANGUAGE TEACHING IN THE REPUBLIC OF SRPSKA

This paper analyses foreign language teaching in the education system of the Republic of Srpska relative to the percent distribution of frequency of individual languages. With primary education being the first and obligatory level of education at which foreign languages are taught, the paper examines the connection between language education policy at the primary education level, social processes and the international position of foreign languages studied in the Republic of Srpska. Available data are compared with the rankings of world languages in terms of their global influence. Similarities and differences between learning outcomes for individual foreign languages after completing primary education are also analysed. The paper points to the basic problems of the language education policy in the Republic of Srpska in relation to foreign language teaching, and recommends systematic collection and analysis of relevant data as the first step in dealing with the issues discussed.

Universality of charge doping driven metal-insulator transition in Sr2RhO4 and role of spin-orbit coupling

We performed angle-resolved photoemission spectroscopy (ARPES) experiments on an electron-doped ${\mathrm{Sr}}_{2}{\mathrm{RhO}}_{4}$ system ${\mathrm{Sr}}_{2\ensuremath{-}x}{\mathrm{Ce}}_{x}{\mathrm{RhO}}_{4}$ in order to investigate the electron doping-induced metal-insulator transition (MIT). We establish the universality of MIT in electron-doped ${\mathrm{Sr}}_{2}{\mathrm{RhO}}_{4}$ by comparing results from ${\mathrm{Sr}}_{2\ensuremath{-}x}{\mathrm{La}}_{x}{\mathrm{RhO}}_{4}$ and ${\mathrm{Sr}}_{2\ensuremath{-}x}{\mathrm{Ce}}_{x}{\mathrm{RhO}}_{4}$. Via a systematic analysis of doping-dependent transport and ARPES data, we show that the correlation driven MIT with a noninteger electron number in electron-doped ${\mathrm{Sr}}_{2}{\mathrm{RhO}}_{4}$ is universal and thus independent of the dopant. Within the universality, the ARPES analysis shows that the band topology determined by the spin-orbit coupling (SOC) is likely a control parameter of the insulating gap size and critical electron number of the MIT. We present a phase diagram of the insulating phase as a function of the effective SOC and electron number.

Longitudinal study of teacher acceptance of mobile virtual labs.

Synthesizing the advancements in technology with classroom practices depends considerably on teachers acceptance of such internet and communication technology (ICT) tools. Adequate teacher training and upgrading of their IT skills are not prioritized in developing economies leading to poor adoption of emerging technology assisted pedagogic interventions. This paper investigated the underlying characteristics of teachers acceptance of mobile friendly virtual laboratories (M-VLs) as part of a longitudinal study conducted over 5 years covering both pre-pandemic and pandemic periods. Systematic analysis of quantitative data from 650 chemistry teachers was carried out. Viewing through the theoretical lens of Unified Theory of Acceptance and Use of Technology (UTAUT2) theory, the effects of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HA) on the behavioral intention (BI) and use behavior (UB) were scrutinized. Structural Equation Modeling (SEM) analysis revealed that PE, SI, and HA are the considerable predictors of the BI to use M-VLs and HA is the predictor of UB. The present study found HM influencing teacher's BI and UB before COVID-19. However during COVID-19 the FC influenced usage. Moreover, we found that the technology training focused on enhancing knowledge, skill and, access leads to teachers' are critical to empowering teachers and causing wider adoption.

Hypercorroles Formed via the Tail that Wagged the Dog: Charge Transfer Interactions from Innocent Corroles to Meso-Nitrophenyl Substituents.

A series of cobalt nitrophenylcorroles were spectrally characterized in CH2Cl2, and under certain solution conditions, several compounds were shown to exhibit hypercorrole spectra resulting from charge transfer interactions from the corrole π-system to the redox-active meso-NO2Ph substituents. The resulting spectral pattern has not previously been reported for metallocorroles and in the case of the cobalt derivatives was shown to depend upon the number and position of the meso-nitrophenyl groups on the macrocycle, the position of the NO2 substituent on the meso-phenyl ring(s) (para or meta), and the electronic structure of the corrole, which can exist in its innocent or noninnocent form depending in large part upon the type and number of axial ligands. Cobalt corroles bearing p-nitrophenyl groups at the 5,15- or 5,10,15-positions of the macrocycle exhibited the most marked hypercorrole spectra under solution conditions where the complex was innocent (i.e., Cor3-CoIII), and a systematic analysis of the spectral data suggests the root of this perturbation to be a corrole-to-aryl interaction (i.e., ligand-to-ligand charge transfer or LLCT). The largest interaction between the π-system and the NO2Ph substituents was seen upon coordination of anionic cyanide (CN-) axial ligands to the Co(III) center of the bis-(CN-)-5,15-dinitrophenyl derivative, resulting in a cobalt hypercorrole spectrum where the broad Q-band was red-shifted even further into the NIR region and located at 795 nm in CH2Cl2 and 827 nm in pyridine. Cyclic voltammetry of the bis-CN- adducts showed that the first electrons are added to the LUMOs of the p-NO2Ph substituents rather than the corrole, while the same orbitals for the mono-CN- adducts are nearly degenerate. This redox behavior contrasts with what is seen for the noninnocent nitrophenyl corroles having "normal" unperturbed UV-vis spectra where the first reduction involves the π-system of the macrocycle, followed by reduction of the p-NO2Ph groups at more negative potentials.

The Use of Telemedicine in Older Patients with Gastrointestinal Diseases.

The COVID-19 pandemic helped us understand that telemedicine provides an alternative way to manage patients remotely, with an added benefit of saving time and travel costs. However, barriers may exist in an older population of patients such as inadequate technology availability and knowledge, and lack of internet connectivity. This systematic review and analysis of data at an academic medical center examines the current literature and investigates the efficacy of telemedicine for older adults requiring gastrointestinal care. In the systematic review, we included 22 manuscripts from an initial 120 that were identified based on inclusion and exclusion criteria. In this existing literature, telemedicine visits were equivalent or better than in-person visits based on many metrics, including patient satisfaction, time and money saved, and standard patient outcomes. At a rural academic medical center, there was a steady decrease in the failure rate of telemedicine visits from April 2020 to May 2022 in all age groups, including the 65 + age group, from 17% in April 2020 to 3% in May 2022. Telemedicine offers a comparable alternative to in-person visits that is convenient, low-cost, and does not compromise quality of care for older patients obtaining GI care. The COVID-19 pandemic has accelerated progress and uptake of telemedicine, and the successful use by all ages including older patients opens the broader conversation about the continued use of telemedicine for care in various areas of medicine.

Potential of Biomass from Felled Trees in the Oil Palm Replanting Program as a Raw Material for Ready-to-Eat Cattle Feed

This study aims to estimate the potential and develop strategies for using the biomass of old oil palm tree cuttings in the oil palm replanting program in smallholders as a source of feed raw materials for producing ready-to-eat animal feed. This observation research was carried out for three months in the people's oil palm plantation center in the Purnama Kempas area of Jambi Province, Indonesia. Selection of five samples of old oil palm trees that have entered the replanting period using a systematic sampling technique and data analysis of field measurements using a simple mathematical approach carried out in stages. The estimation results show that the potential for fresh biomass of animal feed ingredients for each hectare of old oil palm plantations in the replanting program reaches 56.76 tons of biomass consisting of 41.52 tons of fresh pith (73.15%) and 15.24 tons of green palm fronds (28,85%). The potential of this biomass is more than 4.23 times compared to the ability of a hectare for one year of productive oil palm plantations to provide fresh forage between plants, namely, 13.37 tons/ha, which means that tree biomass because of the replanting program can substitute for the availability of forage between coconut trees, producing palm oil for more than four years. However, because of the simultaneous harvesting process, it must be done under collectively planned management, such as in the form of a village corporation.

Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization

An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. Nevertheless, the GOA is unsuitable for addressing multimodal, hybrid functions, and data mining problems. Therefore, the current paper proposes the orthogonal learning (OL) method with Rosenbrock’s direct rotation strategy to improve the GOA and sustain the solution variety (IGOA). We performed comprehensive experiments based on various functions, including 23 classical and IEEE CEC2017 problems. Moreover, eight data clustering problems taken from the UCI repository were tested to verify the proposed method’s performance further. The IGOA was compared with several other proposed meta-heuristic algorithms. Moreover, the Wilcoxon signed-rank test further assessed the experimental results to conduct more systematic data analyses. The IGOA surpassed other comparative optimizers in terms of convergence speed and precision. The empirical results show that the proposed IGOA achieved better outcomes than the basic GOA and other state-of-the-art methods and performed better in terms of solution quality.

Happy Schools and Communities: Supporting Adolescents’ Wellbeing in the United Arab Emirates

Initiatives to assess and promote adolescents’ wellbeing are proliferating worldwide. The United Arab Emirates (UAE) has been implementing pioneering wellbeing agendas at the national and emirate levels for some years. However, these have barely been driven by local evidence, which remains almost nonexistent in the area of adolescent wellbeing. In the absence of local evidence, schools and other decision-makers are forced to rely on evidence from studies conducted in altogether different sociocultural contexts. Yet, the unique characteristics of the nation demand evidence-based policymaking approaches that are sensitive to local issues and the diverse socio-demographic profile of its population. The following policy paper supports this endeavor by analyzing data from the Programme for International Student Assessment (PISA) 2018 to provide the first detailed overview of levels and drivers of adolescents’ wellbeing in the UAE. This baseline assessment provides valuable insights that schools, education authorities, and other stakeholders can use to inform decisions on how to support adolescents’ wellbeing. This policy paper makes specific recommendations and calls for a change in the nation’s wellbeing policy approach to facilitate systematic data collection and analysis at the national, emirate, and school levels and ensure that the emerging evidence is used to drive positive change.

Public Service in Times of Politicized Crisis: How Combatting COVID-19 Reveals Threats to Merit Principles

Throughout the COVID-19 pandemic, politicization of public health policy has loomed over the governmental response in the United States. The scope of politicization is underscored by instances of political pressures faced by public employees across state and local government. Observation of such instances prompts questions regarding the implications of highly politicized crisis on public personnel systems. Using systematic qualitative content analysis of data from syndicated news articles, this study identifies publicized instances of adverse personnel actions experienced by public employees during the first six months of the COVID-19 pandemic. Following the identification of publicized instances, this study also explores legislative trends focusing on public personnel systems during highly politicized emergency conditions. Results outline the positional roles subject to adverse actions, along with traits of legislative activity changing public personnel systems in the states identified. Implications of the study and considerations for future research are then discussed.

A Key Comprehensive System for Biobehavioral Surveillance of Populations Disproportionately Affected by HIV (National HIV Behavioral Surveillance): Cross-sectional Survey Study.

The National HIV Behavioral Surveillance (NHBS) is a comprehensive system for biobehavioral surveillance conducted since 2003 in 3 populations disproportionately affected by HIV: gay, bisexual, and other men who have sex with men (MSM); people who inject drugs; and heterosexually active persons at increased risk for HIV infection (HET). This ongoing and systematic collection and analysis of data is needed to identify baseline prevalence of behavioral risk factors and prevention service use, as well as to measure progress toward meeting HIV prevention goals among key populations disproportionately affected by HIV. This manuscript provides an overview of NHBS from 2003 to 2019. NHBS is conducted in rotating, annual cycles; these 3 annual cycles are considered a round. Venue-based, time-space sampling is used for the MSM population. Respondent-driven sampling is used for people who inject drugs and HET populations. A standardized, anonymous questionnaire collects information on HIV-related behavioral risk factors, HIV testing, and use of prevention services. In each cycle, approximately 500 eligible persons from each participating area are interviewed and offered anonymous HIV testing. From 2003 to 2019, 168,600 persons were interviewed and 143,570 agreed to HIV testing across 17 to 25 cities in the United States. In the fifth round (2017 to 2019), over 10,000 (10,760-12,284) persons were interviewed each of the 3 population cycles in 23 cities. Of those, most (92%-99%) agreed to HIV testing. Several cities also conducted sexually transmitted infection or hepatitis C testing. NHBS is critical for monitoring the impact of the Ending the HIV Epidemic in the United States initiative. Data collected from NHBS are key to describe trends in key populations and tailor new prevention activities to ensure high prevention impact. NHBS data provide valuable information for monitoring and evaluating national HIV prevention goals and guiding national and local HIV prevention efforts. Furthermore, NHBS data can be used by public health officials and researchers to identify HIV prevention needs, allocate prevention resources, and develop and improve prevention programs directed to the populations of interest and their communities.

Toilet Sanitation Management in Supporting the Implementation of Public Services

Good toilet sanitation management will not only provide added value in service satisfaction but is also a reflection of personal and environmental hygiene. However, toilet sanitation is one of the problems that people often complain about when they are in government offices. The availability of good toilet sanitation facilities has not been a concern of the government until now. This research was conducted using a qualitative design, collecting data directly or using google form and making direct observations of the condition of the toilet and its management. Data collection was also carried out using researchgate, google scholars and google scholars. By using systematic literature review technique data analysis and the use of primary data, it was found that the management of toilet sanitation in government offices was not good as seen from the quality of cleanliness and availability of facilities. There is no work unit available and responsible for toilet sanitation hygiene. The government can fix this by collaborating with third parties with a cleaning service workforce outsourcing system.

Building an Augmented Reality Experience on Top of a Smart Pavement Management System

Pavement Management Systems (PMS) offers a systematic collection, storage, analysis, and modeling of road condition data to optimize resources across a road network. Adding artificial intelligence (AI) and augmented reality (AR) to PMS could improve their technical or visual aspects. This paper tries to identify a method to improve the understanding of the consequences of the city council’s decisions in the urban pavement management system field. This paper establishes the potential of AR. It provides future maintenance and rehabilitation (M&amp;R) actions needed based on the recommendation of the future distress in the study area. The road cracks are discovered through technical analysis, and a CityEngine model is established based on the PMS results. Additionally, in terms of visualization, this paper’s unique feature delivers the result as an AR experience. Applying the Unity game engine and importing the built CityEngine model and the embedded textures as input empowered us to provide a dynamic product in terms of data and analysis and a real-time Decision Support System (DSS) for the final users. This paper concludes that researchers need many different modules to design and implement an efficient PMS to move toward a smart PMS. The smart city concept is meaningless without a tight collaboration between all distinctive parts of each urban infrastructure management system. Additionally, this paper attempts to provide answers for researchers and an outlook for future research, the development of the proposed method, and its application in other fields

Somatic XIST activation and features of X chromosome inactivation in male human cancers.

Expression of the non-coding RNA XIST is essential for initiating X chromosome inactivation (XCI) during early development in female mammals. As the main function of XCI is to enable dosage compensation of chromosome X genes between the sexes, XCI and XIST expression are generally absent in male normal tissues, except in germ cells and in individuals with supernumerary X chromosomes. Via a systematic analysis of public sequencing data of both cancerous and normal tissues, we report that XIST is somatically activated in a subset of male human cancers across diverse lineages. Some of these cancers display hallmarks of XCI, including silencing of gene expression, reduced chromatin accessibility, and increased DNA methylation across chromosome X, suggesting that the developmentally restricted, female-specific program of XCI can be somatically accessed in male cancers.

Connotation, characteristics and framework of coal mine safety big data

With the continuous development of automation and information technology, large amounts of safety data are produced in the processes of coal production. Most enterprises simply focus on statistics and do not conduct systematic big data analyses. Therefore, it is necessary to study the theory of coal mine safety while using big data systematically. This paper expounds on the changes in coal mine safety that have been driven by big data from three aspects: the connotation, characteristics and research framework. First, the connotation of coal mine safety big data (CMSBD) is redefined by changing the safety entities and methods. Second, the advantages and disadvantages of the big data model are compared from the perspective of feature analysis. Finally, the research paradigm and technical framework of CMSBD are designed. The results show that the management connotation of CMSBD focuses on the role of big data in coal mine safety. Compared with coal mine safety small data (CMSSD), CMSBD has both advantages and disadvantages. Therefore, CMSBD must be combined with a small data method. The research paradigm emphasizes the intersection of the research, the relevance of safety thinking, the importance of safety data analysis, and the fusion of big data with traditional small data models.

Nivolumab monotherapy in metastatic colorectal cancer: current approaches to response evaluation

Aim of the study: a systematic analysis of the modern literature data on the nivolumab monotherapy efficacy in patients with metastatic colorectal cancer (mCRC). Material and methods. The review summarizes the results of clinical studies of the nivolumab efficacy in patients with mCRC between 2012 and 2022. The current approaches to assessing the tumor response in patients treated with immune checkpoint inhibitors are considered, including response patterns and criteria. Results. Data analysis showed that the use of nivolumab in mCRC patients had significant clinical benefits. Nivolumab monotherapy was shown to improve survival in patients with high microsatellite instability (MSI) or deficiencies in mismatch repair (dMMR) that progressed during standard chemotherapy. Numerous clinical studies indicate the atypical response to nivolumab. Traditional response criteria, such as RECIST do not always adequately assess the therapeutic efficacy of nivolumab in patients with mCRC. Conclusion. To improve the efficacy of mCRC treatment, standardized approaches based on the proposed specific criteria for response to immunotherapy, including immune related RECIST, immune RECIST, and immune-modified RECIST must be developed.