Analytical Components Research Articles

FORMING DESIGN THINKING SKILLS DURING THE EDUCATION OF FUTURE SPECIALISTS

The article revealed the meaning of the concepts of «thinking», «design thinking» by theoretically analyzing the scientific works and identifying the psychological and pedagogical features of formation of students' design thinking skills in the educational process. The levels of development of design thinking skills of future specialists, the authors relied on the design thinking criteria, components, and terms cited by scientists in the research. Diagnosing design thinking using a three-level stage, components such as cognitive, analytical, and activity were distinguished by the improvement of the process of forming students' design thinking skills. The experimental part of the research was planned and experimental work was carried out using effective methods. Surveys were conducted to determine design thinking by methods of «critical thinking», J. Barrett's «Critical Analysis» methodology, and Michael Chaifitz's test to assess the ability to find logical errors. The results of the pedagogical experiment showed the low level of design thinking of students. It needs creation and usage for improving the educational process in HEI. A work plan was created, and during its implementation, the solution to the problem of determining the effectiveness of design thinking was demonstrated based on the analysis of the results of each of the conducted methods. Comparing the results, none of the stages of development of design thinking could exclude an insufficient level; showed the highest indicator of students' cognitive stage; the analytical component of design thinking posed the greatest challenge, with only 69% of students indicating they were ready to make logical connections, and 13% saying they had great difficulty making them. It is possible to influence students by encouraging responsibility and independence, realizing awareness, creativity, self-development, learning to monitor, generalize, compare, and increase their attention in order to form design thinking skills, and the formation of design thinking skills is not enough.

THE MECHANISM OF CRIMINOLOGICAL POLICY FORMULATION IN THE FIELD OF COUNTERING TRANSNATIONAL ORGANISED CRIME

The objective of this article is to elucidate the fundamental components of the mechanism for formulating criminological policy in the context of combating transnational organised crime. In addition, it aims to analyse the subjective composition of the counteraction to such criminal offences and to identify the measures that are necessary to neutralise threats and risks to national security. The article presents a scientific discussion of the mechanism of formation and implementation of criminological policy. It is determined that the nationwide system of combating transnational organised crime can counteract the systemic threats reflected in the Strategy for Combating Organised Crime. This necessitates the establishment of a singular entity: a state body endowed with distinctive status, entrusted with the requisite authority over other entities, including competence related to the budget allocation process and control over its implementation in terms of combating such crime. This entity must possess a sufficient information and analytical component, the result of which should be both the assurance of the agency's ongoing activities and the preparation of strategic programme documents on combating transnational organised crime in general and in its individual areas. These documents must then be approved by the President of Ukraine, who serves as the guarantor of national security. Results. The author develops a scientific concept of the criminological policy of combating transnational organised crime based on the system of coordinated measures to ensure criminological security. This concept has been tested by domestic and foreign practice, with the development and implementation of a set of strategic legal, economic and social measures in the activities of entities involved in combating transnational organised crime (decisions, recommendations, and methodologies) at the legislative and governmental levels. These measures are aimed at identifying criminogenic factors and making effective legal and regulatory, organisational and managerial decisions, including departmental (and interdepartmental) decisions, by authorised entities on this basis.

Developing novel wormhole metrics in finsler-randers geometry using the barthel connection and osculating-riemannian method

In this research, we focus on modelling a wormhole using Finsler-Randers geometry. By applying the Barthel connection from the range of Finslerian connections, we have developed a new wormhole metric, termed the osculating Barthel-Finsler-Randers metric, through the osculating-Riemannian method within the Finsler-Randers framework. The fundamental field equations are formulated in terms of the obtained metric tensor characterised by η(r), which plays a pivotal role in characterizing the anisotropy of the model. To explore the application of Finsler geometry in addressing the existence of a wormhole, we adopt an exponential shape function. Further, in order to streamline the computational aspects of our analysis, and to discuss the effect of anisotropy effect of Finsler Rander geometry, we adopt a specific functional form for the anisotropic parameter η(r)=arn, where α is a constant with implications for the anisotropy, among various possibilities for η(r) a non-zero analytical component of vector field in Randers metric. In addition, we consider three distinct values for the exponent n = −1, 0, and 1 and subsequently, we proceed to develop two distinct models for each of these three values of n with constant and non-constant redshift function. We analyse the physical implications of η(r) on the energy conditions. Our results demonstrate the crucial impact of anisotropy on the stability and structure of wormholes, emphasizing the requirement of exotic matter under specific conditions. This research deepens the understanding of wormhole physics within Finsler geometry, shedding light on the theoretical frameworks essential for the existence and stability of these cosmic structures.

Collaborative learning in the digital age: empowering tuberculosis researchers through virtual training.

Integrating whole genome sequencing (WGS) of the Mycobacterium tuberculosis complex into routine care, surveillance, and research in high tuberculosis burden settings remains challenging due to limited resources and skills. While technological platforms for scaling WGS are emerging, scaling wet lab and analytic components often depends on partnerships where such skills have been established. To address this, a virtual training program was developed. Over 12 weeks, 21 trainees from five Southern African institutes engaged in learning from curated theoretical content and interactive virtual meetings with experienced instructors. The training program, developed by a diverse team of experts in molecular biology, biomedical research, microbiology, and tuberculosis research, provided comprehensive coverage aligned with the latest advancements. Teaching strategies included interactive mentor-led sessions and real-time feedback, together with facilitated knowledge exchange and understanding. The virtual training program yielded several successes. Of note, trainees submitted three scientific articles for peer review, based on their acquired knowledge and its application in research. The program also fostered collaborations on Mycobacterium tuberculosis WGS among participants, showcasing the potential for networking and future joint projects. While the virtual training program encountered challenges related to the pandemic, limited resources, trainee engagement, and language barriers, these were creatively mitigated. To improve future training sessions, a platform assessing participant engagement and information retention is recommended. Wider collaborative efforts among experts and institutions in collating resources will lead to more comprehensive training programs. Addressing challenges such as internet connectivity issues and language barriers is crucial for ensuring inclusivity and enhancing the overall learning experience. In conclusion, the virtual training program successfully provided knowledge and skill training in WGS to trainees, leading to scientific article submissions and collaborations. Furthermore, content creators benefited from improved science communication and training opportunities.

Neural Fractional Differential Equations: Optimising the Order of the Fractional Derivative

Neural Fractional Differential Equations (Neural FDEs) represent a neural network architecture specifically designed to fit the solution of a fractional differential equation to given data. This architecture combines an analytical component, represented by a fractional derivative, with a neural network component, forming an initial value problem. During the learning process, both the order of the derivative and the parameters of the neural network must be optimised. In this work, we investigate the non-uniqueness of the optimal order of the derivative and its interaction with the neural network component. Based on our findings, we perform a numerical analysis to examine how different initialisations and values of the order of the derivative (in the optimisation process) impact its final optimal value. Results show that the neural network on the right-hand side of the Neural FDE struggles to adjust its parameters to fit the FDE to the data dynamics for any given order of the fractional derivative. Consequently, Neural FDEs do not require a unique α value; instead, they can use a wide range of α values to fit data. This flexibility is beneficial when fitting to given data is required and the underlying physics is not known.

P228 THE PORTRAIT OF THE HYPERTENSIVE PATIENT: THE REALITY OF A NORTHERN PORTUGUESE SUBPOPULATION IN THE CONTEXT OF PRIMARY CARE

Background and Objectives: Hypertension is a chronic disease, and is one of the main cardiovascular risk factors. Knowing the local reality, regarding the comorbidities of the hypertensive population, profile of pharmacological therapy and level of blood pressure control are fundamental for the design of management and treatment strategies for hypertensive disease. In Portugal, hypertension has a estimated prevalence of 26,78% and the overwhelming majority of patients are assisted in primary care, where the health professionals have software tools such as BI-CSP, which uses Microsoft's Power-BI platform, allowing the retrieval of data about different variables. The aim of this study is to characterize a subpopulation studied at the Fânzeres Primary Care Center regarding demographic data, morbidity, blood pressure control and antihypertensive medication. Methods: This is an observational and cross-sectional descriptive study with an analytic component. The population consists of patients diagnosed with hypertension (N=3474). The retrieval of data was carried out using the MIMUF and BI-CSP. Results: In the population from which the 3474 hypertensive patients were selected, hypertension has a prevalence of 26%. The most common cardiovascular comorbidities were dyslipidemia (50%), Obesity (30%) and Diabetes (33%). 63% of patients had a systolic blood pressure (SBP) of <140mmHg and 28% had a SBP <130mmHg on the last measurement. Regarding the antihypertensives prescribed on a 4 month period, molecules that act on the renin-angiotensin axis are the main class used corresponding to 583K DDD (defined daily dose), followed by thiazides (300K DDD) and calcium channel blockers (250K DDD). Conclusions: There is still suboptimal control of hypertension in the population studied, which implies the adoption of more effective treatment strategies. It is important not only to involve adapting pharmacological treatment to the most recent guidelines, but also promote healthy lifestyles, control comorbidities and improve the follow-up of these patients. A multidisciplinary approach, using face-to-face and remote methods to strengthen contact with the healthcare team, can help to achieve these goals.

Advanced MRI-based evaluation of gray and white matter changes in Parkinson’s disease

BackgroundParkinson’s disease (PD) is the most common movement disorder and the second most common neurodegenerative disease. The aim of our study was to compare gray–white matter changes (GWC) between Parkinson's disease (PD) patients and age-matched healthy control group as well as comparing GWC between different stages of PD (early and complicated). Our study was prospective cross-sectional case–control observational study with analytic component conducted on twenty patients and ten controls without any signs or symptoms of PD or any history of PD in first-degree relatives. All patients and controls were tested for history taking with stress on resting tremors, rigidity, gait abnormalities, postural instability and any symptoms of cognitive impairment, clinical examination including general examination and neurological examination. Also diffusion tensor imaging (DTI) with fiber tracking (tractography) and susceptibility-weighted MR imaging were performed for all cases.ResultsAs regards DTI and evaluation of fractional anisotropy (FA) and mean diffusivity (MD) values between PD cases and healthy controls, the cases group showed significant decrease in FA values at substantia nigra on both sides and left cingulum as well as significant increase in MD values at substantia nigra on both sides and corpus callosum. Also, there are significant decrease in FA values at substantia nigra on both sides and significant increase in MD values at substantia nigra on both sides and right cingulum in late parkinsonism when compared to early parkinsonism. A cutoff FA value of 0.945 at right substantia nigra and cutoff FA value of 0.585 at left substantia nigra showed significant AUC that could differentiate between cases and controls. Also cutoff MD value of 0.791 at right substantia nigra and cutoff MD value of 0.813 at left substantia nigra showed significant AUC that could differentiate between cases and controls.ConclusionsDiffusion tensor imaging showed valuable role in evaluation of gray–white matter changes in Parkinson's disease. Also, it helps to assess degree of gray–white matter changes when comparing late parkinsonism to early parkinsonism through evaluation of FA and MD values at corpus callosum, substania nigra, and cingulum.

Assessment Criteria to Diagnose Malnutrition (Undernutrition and Overnutrition) in Hemodialysis Patients

This study aimed to determine if adapted Global Leadership Initiative on Malnutrition (GLIM) criteria can diagnose overnutrition, in addition to undernutrition, in hemodialysis patients. Additionally, it compared the adapted GLIM criteria with the Subjective Global Assessment (SGA) for diagnosing undernutrition. A cross-sectional, descriptive study design with an analytical component was utilized. An interviewer-administered questionnaire (IAQ) was completed with 116 adult participants from two public renal units in Cape Town. Data collection included demographic, medical, and anthropometric information, incorporating the established SGA tool and the adapted GLIM criteria. Of the participants, 58% were female, with a mean age of 41.04 years (SD 10.6). The primary causes of renal failure were hypertension (38%) and glomerular disease (33%). The median weight was 64.74 kg (IQR 16.4) and the mean BMI was 25.44 kg/m2 (SD 4.66). The prevalence of obesity was 20%, and undernutrition was 4% by BMI. Participants from Groote Schuur Hospital (GSH) had a higher mean BMI (26.40, SD 4.9) than those from Tygerberg Hospital (TBH) (p=0.0033). Abdominal obesity prevalence was 51%, with a mean waist circumference of 87.06 cm (SD 11.37). Using SGA parameters, undernutrition prevalence was 26%, all classified as SGA-B, compared to 22% by adapted GLIM. Adapted GLIM classified 69.83% as malnourished (overnutrition 47%, undernutrition 22%). For undernutrition, the adapted GLIM had a sensitivity of 75% (CI 64.04, 85.96), specificity of 77.78% (CI 67.26, 88.3), positive predictive value of 69.23% (CI 57.55, 80.91), and negative predictive value of 82.35% (CI 72.71, 92.00). Among those diagnosed with overnutrition by adapted GLIM, 89% were classified as well-nourished by SGA. The adapted GLIM criteria effectively assessed overnutrition as well as undernutrition in hemodialysis patients. It identified a significant proportion of patients misclassified as well-nourished by SGA who were actually overnourished. The adapted GLIM showed good sensitivity and specificity for diagnosing undernutrition in this population.

Критерии оценки навыков информационно безопасного поведения подростков

The purpose of the article is to consider the relevance of the formation of skills of information-safe behavior of adolescents as behavior that ensures their safety in organizing the search, collection, processing, analysis and codification, use and storage of information using various information sources that do not harm others. The author solves one of the research tasks related to the description of technology for the formation of skills of information-safe behavior of adolescents in an educational organization, involving the implementation of several stages, each of which is associated with the formation of components of information-safe behavior of a teenager: the stage of actualization and familiarization – with the formation of a value-motivational component in relation to information security; the stage of understanding and transformation – with the formation of the cognitive component; the stage of application and acceptance – with the formation of the activity component; the stage of analysis and synthesis involves the formation of an analytical component; the reflexive stage involves the formation of a creative component. The effectiveness of the implementation of the stages of technology for the formation of information-safe behavior skills of adolescents is presented based on the goals of its implementation, according to knowledge (cognitive), motivational-activity, reflexive criteria.

Can Street-Level Bureaucrats Assist with Material Resources? Naming, Trivializing and Privatizing Economic Abuse in Israel

ABSTRACT Street Level Bureaucrats’ (SLBs) contribution to social inequality was proposed to be best assessed by combining three analytical approaches: Discretion, Positioning, and Reproduction. Such a triple analytical framework may be required for understanding SLBs’ responses to Economic Abuse (EA) in Israel where formal law has not addressed EA while the prevalent welfare orientation denies the material resources required in responding to EA. Applying the triple framework in analyzing fifty-three interviews conducted with Israeli SLBs operating in state welfare organizations reveals the extent to which each analytical component is open for SLBs’ moral entrepreneurship, generating a sense of appropriate professional treatment. It develops a critical discussion of the conditions under which applying the triple framework of discretion, positioning, and reproduction is conducive.

PyMOE: Mask design and modeling for micro optical elements and flat optics

We introduce a new open-source software package written in Python to design and model micro optical elements, such as diffractive lenses, holograms, as well as other components within the broad area of flat optics, and generate their corresponding (production-ready) lithography mask files. To this aim, the package provides functions to design a multitude of kinoform lenses, phase masks and holograms, but is versatile and the user can implement any arbitrary numerical or analytical optical component designs. For validating the designs, this package provides scalar diffraction propagation to simulate optical field propagation in different regimes covering near- and far-field regions (Fresnel, Fraunhofer and Rayleigh-Sommerfeld). Particularly, by implementing Rayleigh-Sommerfeld propagation, we demonstrate accurate field propagation within near- and far-field ranges, providing versatility and accuracy. Importantly, the package allows to directly export production-ready multilevel/binary lithography mask files of the designed optical components. Additionally, metasurface masks can conveniently be generated for any user-defined meta-element library given as input. Finally, the software package capabilities are illustrated with examples of mask design and modeling of diffractive lenses, holograms, and metasurfaces susceptible of being fabricated via lithography techniques. Beyond lithography, the package can also straightforwardly be used in other applications requiring mask generation, such as beam shaping, optical trapping and digital holography.

Climate-driven environmental filtering determines hump-shaped elevational pattern of seed plant beta diversity in the central Himalayas

Understanding how and why assemblage dissimilarity changes along spatial gradient is a great challenge in ecology, because answers to these questions depend on the analytical types, dimensions, and components of beta diversity we concerned. To obtain a comprehensive understanding of assemblage dissimilarity and its implications for biodiversity conservation in the Himalayas, we explored the elevational patterns and determinants of beta diversity and its turnover and nestedness components of pairwise and multiple types and taxonomic and phylogenetic dimensions simultaneously. Patterns of beta diversity and their components of different types and dimensions were calculated based on 96 sampling quadrats along an 1800−5400 m elevational gradient. We examined whether and how these patterns differed from random expectations using null models. Furthermore, we used random forest methods to quantify the role of environmental variables representing climate, topography, and human disturbance in determining these patterns. We found that beta diversity and its turnover component, regardless of its types and dimensions, shown a hump-shaped elevational patterns. Both pairwise and multiple phylogenetic beta diversity were remarkably lower than their taxonomic counterpart. These patterns were significantly less than random expectation and were mostly associated with climate variables. In summary, our results suggested that assemblage dissimilarity of seed plants was mostly originate from the replacement of closely related species determined by climate-driven environmental filtering. Accordingly, conservation efforts should better cover elevations with different climate types to maximalize biodiversity conservation, rather than only focus on elevations with highest species richness. Our study demonstrated that comparisons of beta diversity of different types, dimensions, and components could be conductive to consensus on the origin and mechanism of assemblage dissimilarity.

From Likes to Lifestyle: Predicting the Impact of Following Fitness Influencers on the Adoption of Healthy Habits in Saudi Arabia.

The increasing popularity of fitness influencers on social media has the potential to significantly impact public health by promoting healthy behaviors. Understanding how these influencers affect the adoption of healthy habits among Saudi residents can provide insights into effective public health strategies. This study aims to quantitatively assess the influence of following fitness influencers on social media on adopting healthy behaviors among Saudi residents, focusing on socio-demographic factors, characteristics of influencers, and participants' perceptions. A descriptive, cross-sectional study with an analytical component was carried out from March 25, 2023, to August 15, 2023. The study included Saudi residents aged 18 and older who actively follow fitness influencers. Data was gathered through an online questionnaire and analyzed using descriptive statistics, Pearson's chi-square test, and logistic regression analyses to identify factors associated with positive health outcomes. The study included 561 participants, revealing that marital status and residential region significantly influenced the adoption of healthy habits, with married participants and those from the Southern and Central regions more likely to report positive outcomes. Notably, engagement in physical activity more than three times a week and adherence to a healthy diet were strongly associated with positive health outcomes (p<0.05). Analysis of influencer characteristics showed that following fewer than 10 influencers and being unaware of their follower count were predictors of positive results with p<0.05. Specifically, 76.6% of participants experienced positive results after following health advice from social media, highlighting the impactful yet complex role of influencers in shaping health behaviors. Logistic regression analyses underscored the significance of socio-demographic factors, influencer characteristics, and participant perceptions in predicting the likelihood of experiencing positive health outcomes. Following fitness influencers on social media can positively impact the adoption of healthy habits, moderated by socio-demographic factors and influencer characteristics.

A systematic literature review exploring the nexus between circular economy and communities

Circular Economy (CE) studies often focus primarily on technical and economic aspects of the transition process. Recently, some authors have started to enquire the social processes connected to of the CE, often referring to communities. This article provides a Systematic Literature Review on the nexus between CE and community to investigate its features according to the experiences reported in the collected documents. The retrieved corpus has been analyzed recurring to consolidated frameworks, as the R hierarchy, the societal areas challenges identified by the Strategic Research and Innovation Agenda developed by the EU project CICERONE, and to the spectrum of participation provided by the International Association for Public Participation. The participative dynamics found in the corpus are analyzed also considering the type of communities, tools, methodologies and goals reported in the retrieved documents. Besides descriptive statistics about the mentioned aspects, the article includes a discussion on some CE social aspects, problematizing and questioning the retrieved stakeholders engagement practices, recurring to a qualitatively selected literature. Conclusions address the main findings related to the most commonly found R strategy, community type, societal challenge areas and type of participative dynamics according to the analytical components chosen in the methodology. Research implications are illustrated, suggesting possible directions for future research to widen the analysis on the nexus between CE and communities.

Highlights of ophthalmological manifestations in newly diagnosed acute leukemia: a correlation with hematological parameters

Acute leukemia is a hematological malignancy affecting different organ systems including the eye and orbit through direct infiltration of tissues or secondary to hematological abnormalities. Ophthalmological manifestations in acute leukemia are variable ranging from asymptomatic presentation to serious manifestations that can alter the disease course and treatment. The purpose of this study is to detect the incidence of different ophthalmological manifestations in newly diagnosed acute leukemia patients and to assess the relationship between ocular findings and hematological characteristics and the sequel of these neoplasms. A cross-sectional study with analytical components was conducted on 222 newly diagnosed acute myeloid and acute lymphoblastic leukemia patients who presented at Oncology Center Mansoura University (OCMU) between January 2022 and February 2023. All patients underwent a complete ophthalmic evaluation at Mansoura Ophthalmology Center (MOC). The mean age was 43.45 ± 17.35 years (range, 17–85), and M/F was 137 (61.7%)/85 (38.3%). One-hundred and forty-four (64.9%) had acute myeloid leukemia (AML), and 78 (35.1%) had acute lymphoblastic leukemia (ALL). Ophthalmic manifestations were detected in 96 patients (43.2%). Among them, 4 (1.8%) had poor visual acuity. Retinal hemorrhage (19.8%) and Roth spots (17.1%) were the most common ocular manifestations. Other ophthalmological manifestations observed were orbital involvement (3.2%), ocular motility issues (1.4%), subconjunctival hemorrhage (5.9%), conjunctival chemosis (0.9%),lid swelling (4.1%), lid ecchymosis (3.2%), lagophthalmos (0.5%), lid ptosis (1.8%), retinal venous congestion & tortuosity (4.1%), preretinal hemorrhage (3.2%), vitreous hemorrhage (3.2%), macular affection (2.3%), retinal infiltration (1.8%), exudative retinal detachment (ERD) (1.8%), cotton-wool spots (0.9%), retinal vein occlusion (0.5%), papilledema (2.8%), optic disc infiltration (1.8%), disc pallor (1.8%).AML patients were significantly associated with a higher frequency of ocular affection, retinal hemorrhages, and Roth spots (P 0.028, 0.003, and 0.046, respectively) compared to ALL patients. Retinal hemorrhage was statistically significantly associated with anemia (P 0.021). Ophthalmological manifestations of acute leukemia are heterogeneous; they can be detected at initial presentations or relapse. Some manifestations are asymptomatic, others can affect visual acuity or even alter the disease course. Cooperation between ophthalmologists and haemato-oncologists is crucial for recognizing ocular involvement and disease management.

Knowledge, Practices, and Barriers of Communication Skills among a Group of Primary Health-care Physicians in Baghdad 2023

Abstract Background: Communication skills are essential for health professionals to achieve a positive relationship with patients, improving their health and quality of life. Communication is the foundation for obtaining medical history and conveying a diagnosis and treatment plan. Objectives: To assess the knowledge, practice of communication skills among primary care physicians, to find out any barriers related to the communication skills, and the association between the studied variables with knowledge and practice of communication skills. Methodology: A cross-sectional study with analytic component conducted in 40 Primary Health Care Centers in Baghdad, with data collection during a period of 4 months from March 1, 2023 to June 30, 2023. Data had been collected in a questionnaire by direct interview with the participants done by the researcher and including three parts: (participants’ sociodemographic characteristics, knowledge, practice toward communication skills, and the barriers to successful communication). Results: The total number of the participants was 126. The level of knowledge of the participants about physician-patient communication skills was fair in 74 (58.7%) of them, poor in 35 (27.8%). The highest prevalence of poor level of knowledge was seen in participants with specialties other than family medicine and in those with more than 20 years of experience. Level of practice of the participants toward physician-patient communication skills was good in 63 (50%) of them and 63 (50%) had moderate level of practice. The highest prevalence of moderate level of practice was seen in elderly age participants. The most common barrier as mentioned by the participants was time limitation. Conclusion: The majority of primary health-care physicians in this study have fair levels of knowledge, with moderate to good level of practice about communication skills. Family physicians and those who had experience between 10 and 19 years had better knowledge about communication skills. Time limitations are perceived as the biggest hindrance to communication followed by the presentation with multiple complains.

Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the technology–organization–environment (TOE) framework to categorize findings. Our methodology involved a thorough screening of 234 studies, leading to a final analysis of 45 peer-reviewed articles that met our stringent criteria. These studies collectively underscore a significant gap in organizational capabilities, notably in the business ecosystems surrounding EISs, which hampers the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes. This review identifies critical factors for integrating analytics into Enterprise Information Systems (EISs), emphasizing technological, organizational, and environmental dimensions. It highlights a significant gap in models guiding ERP systems with Business Intelligence (BI) capabilities and underscores the need for robust research to enhance strategic decision-making through analytics.

Carbohydrate Structure Database: current state and recent developments.

Carbohydrate Structure Database (CSDB) is a curated glycan data collection and a glycoinformatic platform. In this report, its database, analytical, and other components that have appeared for the recent years are reviewed. The major improvements were achieving close-to-full coverage on glycans from microorganisms, launching modules for glycosyltransferases and saccharide conformations, online glycan builder and 3D modeler, NMR simulator, NMR-based structure predictor, and other tools.

Science Articles in "The Conversation Indonesia": Identifying Argumentative Patterns and Predicting Their Contribution to Science Journalism in Indonesia

In this paper, the authors investigate argument activities of the journalism of The Conversation Indonesia (TCID). Taking into consideration five elements of argumentation —philosophical component, theoretical component, empirical component, analytical component, and practical component—this study identifying patterns argument that characterize of 41 science articles in 2021 by using qualitative content analysis. To complete the data, we conducted in-depth interviews with the chief of editor/content director of TCID. We also conducted an extensive review of current literature. This paper finds that most of the science articles reported by TCID uses 3 component arguments, namely the philosophical component, the empirical component, and the practical component. This shows that the authors only have a degree of wanting to form knowledge at a moderate level. Other data shows not all writers present predictive arguments in themselves. Only 80% of authors present predictive arguments. We argue that science journalism practiced by TCID is not passionate about building knowledge among its readers. It has not succeeded in promoting Indonesian science journalism as a means of forming readers' knowledge. Therefore, strong efforts are needed to ensure that science journalism can ground research results that shape readers' knowledge.

Risk factors for acute kidney injury in patients hospitalized with COVID-19.

Acute kidney injury (AKI) occurs frequently in COVID-19 patients and is associated with greater morbidity and mortality. Knowing the risks of AKI allows for identification, prevention, and timely treatment. This study aimed to identify the risk factors associated with AKI in hospitalized patients. A descriptive, retrospective, cross-sectional, and analytical component study of adult patients hospitalized with COVID-19 from March 1 to December 31, 2020 was carried out. AKI was defined by the creatinine criteria of the KDIGO-AKI guidelines. Information, regarding risk factors, was obtained from electronic medical records. Out of the 934 patients, 42.93% developed AKI, 60.59% KDIGO-1, and 9.9% required renal replacement therapy. Patients with AKI had longer hospital stay, higher mortality, and required more intensive care unit (ICU) admission, mechanical ventilation, and vasopressor support. Multivariate analysis showed that age (OR 1.03; 95% CI 1.02-1.04), male sex (OR 2.13; 95% CI 1.49-3.04), diabetes mellitus (DM) (OR 1.55; 95% CI 1.04-2.32), chronic kidney disease (CKD) (OR 2.07; 95% CI 1.06-4.04), C-reactive protein (CRP) (OR 1.02; 95% CI 1.00-1.03), ICU admission (OR 1.81; 95% CI 1.04-3.16), and vasopressor support (OR 7.46; 95% CI 3.34-16.64) were risk factors for AKI, and that bicarbonate (OR 0.89; 95% CI 0.84-0.94) and partial pressure arterial oxygen/inspired oxygen fraction index (OR 0.99; 95% CI 0.98-0.99) could be protective factors. A high frequency of AKI was documented in COVID-19 patients, with several predictors: age, male sex, DM, CKD, CRP, ICU admission, and vasopressor support. AKI occurred more frequently in patients with higher disease severity and was associated with higher mortality and worse outcomes.