Patterns Of Relationships Research Articles

Network analysis to prioritize issues for intervention to improve the health-related quality of life of people with HIV in Spain.

The objective is to assess the interconnectedness of a network of health-related quality of life (HRQoL) variables among people with HIV (PHIV) to identify key areas for which clinical interventions could improve HRQoL for this population. Between 2021 and 2023, we carried out a cross-sectional study within the Spanish CoRIS cohort. We conducted a weighted and undirected network analysis, which examines complex patterns of relationships and interconnections between variables, to assess a network of eight HRQoL dimensions from the validated Clinic Screening Tool for HIV (CST-HIV): anticipated stigma, psychological distress, sexuality, social support, material deprivation, sleep and fatigue, cognitive problems and physical symptoms. A total of 347 participants, predominantly male (93.1%), currently working (79.0%), self-reported homosexual (72.6%) and college-educated (53.9%), were included in the study. Psychological distress showed the highest centrality in the network, indicating its strong connections with sleep and fatigue, cognitive problems and social support within the HRQoL network. Psychological distress, sleep and fatigue, cognitive issues and social support were identified as key factors in an HRQoL network, indicating that interventions focused on these areas could significantly enhance overall well-being.

How is L2 pair interaction related to fluency and language use? A quantitative approach

Previous research examined L2 interaction by describing salient features exhibited in different patterns of peer interaction. These studies mostly used qualitative methods and focused on the collaborative aspect of such construct (Galaczi, 2008). The present study adopts a quantitative approach to explore and describe L2 interaction, utilizing the data of the Corpus of Collaborative Oral Tasks (CCOT). Specifically, it measures pairs’ interaction by creating a composite score of interactivity to understand the relationship between the dyads' degree of interactivity and their use of lexico-grammatical features as well as their L2 fluency. Pearson's correlation tests showed weak to moderate positive relationships between interactivity and discourse particles, response forms, wh-questions, and second person pronouns. Additionally, the tests revealed weak negative relationships between interactivity and both nominal forms and hesitations. Furthermore, revealing moderate relationships, Pearson's correlation tests showed that interactivity was associated with more fluent L2 speech, where learners of higher interactivity levels tended to produce fewer silent pauses and faster speech rates. The study provides insights for scholars interested in L2 interaction. It suggests that some linguistic features were not only associated with collaborative behaviors (as reported in the literature) but also with interactivity as broad aspect. Furthermore, it provides a description of how the act of turn taking might potentially serve the fluency of higher interactivity students, warranting further investigation of turn frequency among L2 test takers as test raters might potentially be influenced by the test candidates’ fluency. Finally, it reports that L2 interactivity exhibited a relationship pattern with linguistic features that resembles patterns reported in the literature of studies on native speakers of English.

Child temperament and trajectories of student-teacher relationships quality.

This study aimed to examine the associations between child temperament and trajectories of the three dimensions of the student-teacher relationship (Closeness, Conflict, and Dependency) during elementary school. Latent class growth analyses conducted among 744 French-Canadian students recruited between 2008 and 2010 (46.8% girls; Mage = 8.39; 90.9% White; 49.7% with externalizing behavior problems) revealed four Closeness trajectories and three Conflict trajectories, but no significant variability between children in mean levels of change in Dependency. Surgency-Extraversion and Effortful control were associated with specific trajectories of Closeness and Conflict. Effortful control was also associated with cross-sectional assessments of Dependency. These results suggest that temperament is a useful construct in understanding developmental patterns of the student-teacher relationship across the elementary school years.

Testing the religion/spirituality-mental health curvilinear hypothesis using data from many-analysts religion project

ABSTRACT Findings from the recent Many-Analysts Religion Project (MARP) have been characterized as supporting a robust positive relationship between various measures of religion and aspects of well-being. However different conceptualizations of religiosity (e.g. identity, attendance, belief, conviction) can theoretically be expected to display distinct (e.g. non-linear or curvilinear) patterns of relationships with different manifestations of well-being. Additionally extant analyses of MARP data have not addressed how influences such as social support affect the relationship between religion/spirituality (R/S) and well-being. The present analysis restricted to a subset of countries with the predominant religion of Christianity found that net demographic controls, meaning in life, and enjoyment of life was significantly higher among those identifying as religious, attending religious service, and identifying as believing in God. However, when God was modelled quadratically, both meaning in life and enjoyment of life demonstrated a “J-shaped” relationship, although the nuances for their interpretation were distinct. Thus, partial support was found for a quadradic or “J-shaped” relationship between religious belief and mental well-being. Finally, adjusting estimates for social support tended to diminish the importance of R/S variables for predicting well-being, suggesting that increased well-being evinces a complex relationship with religious belief.

A contact-based constitutive model for the numerical analysis of masonry structures using the distinct element method

This study presents a robust contact constitutive model in the distinct element method (DEM) framework for simulating the mechanical behavior of masonry structures. The model is developed within the block-based modeling strategy, where the masonry unit is modeled as deformable blocks with potential crack surfaces in the middle of the bricks, while the mortar joints are defined as zero-thickness interfaces. The modeling strategy implements multi-surface plasticity with damage mechanics, including a tension cut-off, Coulomb failure criterion, and an elliptical compressive cap for the damage in tension, shear, and compression, respectively. Two new features are introduced in this contact model: a piecewise linear softening function for strength degradation in tension and shear and a hardening/softening function to phenomenologically define the compressive damage of masonry composite into the unit-mortar interface. The constitutive model is implemented in commercial DEM software using the small displacement configuration and validated against material and experimental tests on masonry walls subjected to constant pre-compression and monotonically increasing in-plane load. The experimental and numerical results regarding the force-displacement relationship and damage pattern produced by the proposed constitutive model are compared and critically discussed, demonstrating the capability of DEM coupled with the suitable constitutive law in simulating the behavior of masonry structures.

Individual differences in risk attitude among managers: a multilevel approach

Purpose The way in which managers differ when confronted with risky options or when evaluating different alternatives constitutes a fundamental part of organizational risk management. This study aims to investigate how managerial risk-taking attitudes (i.e. ethical and financial risk-taking as a trade-off between benefit and riskiness) change over time and based on gender. Design/methodology/approach The authors conducted a cross-sectional study on a sample of Italian executives and measured their perceptions of risk-taking, risk perception and risk-benefit, all referring to the company they worked for in the ethical and financial domain. The study also collected demographic data to gather information on age and gender. The authors analyzed data collected using multilevel analysis. Findings The results show that perceived benefits are the main drivers of risk-taking attitudes in both domains. Age and gender are not significant direct predictors of risk, but interactions with domains reveal insightful patterns. Originality/value Overall, this study highlights the need to assess the whole pattern of relationships emerging from the range of situational variables characterizing a specific population. Concerning the organizational context, it means addressing the role of organizational variables in influencing risk-taking so as to determine the extent to which organizational policies are indeed effective in fostering efficient organizational risk management.

MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION

Semiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain. The parametric regression component in this study is linear regression, while the nonparametric component utilizes a spline truncated estimator, resulting in a semiparametric spline truncated regression model. The case study focuses on the prevalence of stunting across 34 provinces in Indonesia in 2022, revealing a relatively high prevalence of 21.60%. The research aims to determine the optimal number of knots, the best model, and factors influencing stunting prevalence in Indonesia. The findings indicate that the optimal three-knot model with a GCV of 9.30 yields an RMSE of 1.70 and R2 of 92.71%. Significance tests for simultaneous and partial parameters reveal that all predictor variables significantly influence stunting prevalence.

The Relationship of Parents' Parenting with Crude Motoric Development of Babylonian Children at Aisyiyah Bustanul Athfal I Working Region Puskesmas Pringsewu Rejosari in 2024

Parenting are rules made by parents and applied to their children to form a positive child's character and behavior. The right pattern of care applied to the child can maximize the growth of the child according to his age of development. The aim of the study was to identify the relationship between the pattern of parenting of parents and the development of harsh motorics in young children. The design of this study uses analytical descriptive using cross sectional. The population is a young boy with a sample of 52 people, the sampling technique used purposive samplings. Aisyiyah Bustanul Athfal I Pringsewu area of work puskesmas Rejosari using questionnaire pattern of nursing and development of rough motric and Test analysis using Chi Square. The results of the research there are Relationship Pattern of Parents Against Rare Motoric Development of Babylon Children in Aisyiah Bustanonul Athpal I Prangsewu school with patterns of parents mostly authoritarian as much as 25 (48.1%) and rough motoric development in children mostly normal category 29 (55.8%). Caring patterns are a major factor in the success of growing children and it is expected that the parents, as well as the environment can support the parents of children in providing the right caring pattern to children so that the growth and development of children, especially the development of rough motorics can run optimally. In addition, it is expected that the proper pattern of caring will have a positive impact on the child in terms of motor, sensory and mental abilities, thus becoming a qualified child.

N-SOFT SETS ASSOCIATION RULE AND ITS APPLICATION FOR PROMOTION STRATEGY IN DISTANCE EDUCATION

In everyday life, we always encounter obstacles in seeing the interrelationships between several events to make the right decisions. Universitas Terbuka is a pioneer in distance education that implements digital transformation for new student registration, student services, and alums. The obstacle faced is determining a suitable promotion strategy for new students. As a result, a representative model is needed to handle such cases. As an extension of soft sets, N-soft sets can handle decision-making for binary and non-binary assessments. However, research has yet to be related to N-soft sets decision-making in data mining, especially association rule classification. This article proposes a new combination of N-soft sets with Association Rule (NSSAR). This article also introduces and applies the decision-making procedure using NSSAR to real. The population is new students of Universitas Terbuka Jakarta in the 2023/2024 odd semester. Samples were taken randomly using a questionnaire—primary data obtained by 201 new students. The following results are obtained based on the processed sample data using the NSSAR algorithm: 1) new students from Universitas Terbuka Jakarta are predominantly from Vocational High Schools domiciled in Bekasi, majoring in Bachelor of Management from the Faculty of Economics and Business; 2) The most favorite media information used by new UT Jakarta students is Instagram. Based on the results, the NSSAR algorithm gave relationship patterns between the number of new students based on region, study program, diploma of origin, and information media. Therefore, policymakers should consider the right promotional strategy to increase the number of students.

KOMUNIKASI KO-KREASIONAL PROGRAM SEHAT SEJAHTERA (SESERA) PT PUPUK SRIWIDJAJA DENGAN MASYARAKAT PULAU KEMARO

Abstract. The purpose of this study is to investigate the co-creative communication of the Sehat Sejahtera Program (Sesera) and to construct a collaborative model between corporate and community in the context of implementing ecotourism at the Kemaro Island tourist attraction in Palembang City. This study uses qualitative methodologies and a case study design to handle primary data based on interviews, non-participant observation, and documentation as secondary data. The data analysis employs the Miles and Huberman Interactive Model in three steps, beginning with data reduction and structured in a relationship pattern to facilitate interpretation and drawing or verifying results. Research findings show that co-creational communication referring to Co-Creation Theory is implemented through social responsibility strategies focussing on tourist experiences and interactive relationships with the surrounding community. The collaboration carried out is PT Pupuk Sriwidjaja Palembang's social and environmental responsibility (TJSL) approach to the Kemaro Island tourist destination.

Hemispheric dominance in reading system alters contribution to face processing lateralization across development

Face processing dominates the right hemisphere. This lateralization can be affected by co-lateralization within the same system and influence between different systems, such as neural competition from reading acquisition. Yet, how the relationship pattern changes through development remains unknown. This study examined the lateralization of core face processing and word processing in different age groups. By comparing fMRI data from 36 school-aged children and 40 young adults, we investigated whether there are age and regional effects on lateralization, and how relationships between lateralization within and between systems change across development. Our results showed significant right hemispheric lateralization in the core face system and left hemispheric lateralization in reading-related areas for both age groups when viewing faces and texts passively. While all participants showed stronger lateralization in brain regions of higher functional hierarchy when viewing faces, only adults exhibited this lateralization when viewing texts. In both age cohorts, there was intra-system co-lateralization for face processing, whereas an inter-system relationship was only found in adults. Specifically, functional lateralization of Broca’s area during reading negatively predicted functional asymmetry in the FFA during face perception. This study initially provides neuroimaging evidence for the reading-induced neural competition theory from a maturational perspective in Chinese cohorts.

An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods

Deep learning models provide a more powerful method for accurate and stable prediction of water quality in rivers, which is crucial for the intelligent management and control of the water environment. To increase the accuracy of predicting the water quality parameters and learn more about the impact of complex spatial information based on deep learning models, this study proposes two ensemble models TNX (with temporal attention) and STNX (with spatio-temporal attention) based on seasonal and trend decomposition (STL) method to predict water quality using geo-sensory time series data. Dissolved oxygen, total phosphorus, and ammonia nitrogen were predicted in short-step (1 h, and 2 h) and long-step (12 h, and 24 h) with seven water quality monitoring sites in a river. The ensemble model TNX improved the performance by 2.1%–6.1% and 4.3%–22.0% relative to the best baseline deep learning model for the short-step and long-step water quality prediction, and it can capture the variation pattern of water quality parameters by only predicting the trend component of raw data after STL decomposition. The STNX model, with spatio-temporal attention, obtained 0.5%–2.4% and 2.3%–5.7% higher performance compared to the TNX model for the short-step and long-step water quality prediction, and such improvement was more effective in mitigating the prediction shift patterns of long-step prediction. Moreover, the model interpretation results consistently demonstrated positive relationship patterns across all monitoring sites. However, the significance of seven specific monitoring sites diminished as the distance between the predicted and input monitoring sites increased. This study provides an ensemble modeling approach based on STL decomposition for improving short-step and long-step prediction of river water quality parameter, and understands the impact of complex spatial information on deep learning model.

Estimasi Laju Pertumbuhan Penduduk menggunakan Metode Regresi Linier Berganda di Kabupaten Batang

Population growth in an area is very important for development and as a benchmark for development and progress. One way to estimate/estimate population growth is to use Data Mining techniques. Data mining is able to analyze data into information. This research will discuss the population growth of Batang Regency, Central Java in 2024. The estimation technique that will be used is Multiple Linear Regression. This method was chosen because it can make estimates/predictions by utilizing past data regarding population growth so that it can produce a relationship pattern. This Multiple Linear Regression method aims to produce the best predictions. The research data used is population data in Batang Regency in 2019-2023. Based on research that has been carried out, the results show a population growth of 853,800 people in 2024. This figure shows a population increase of 24,917 people compared to 2023 of 828,883 people with an increase percentage of 3%. The benefits of this research can be conveyed to the Batang Regency Government as material for decision and policy making in the year.

Integration Experiences of International Students: A Case Study of Sub-Saharan Students in a Moroccan School of Design and Engineering

An increasing number of international Students opt for studying at a university in a foreign country. It is believed that this mobility makes these students face academic and social integrating challenges in their new learning environment. In Morocco, thousands of students, who are scholarship-granted by the Moroccan government, coming from different countries, chiefly from Sub-Saharan Africa seek education in different universities of the kingdom. The main aim of this study extends its focus to explore two outcomes. Particularly, it investigates the social and academic integration experiences of a case study of international students undertaking an undergraduate programme at a Moroccan school of design and engineering along with the challenges these students encounter. Moreover, the study situates these experiences within the institutional conscious efforts that are implemented to achieve an integrational goal. Data were collected from a case study in spring 2019 by interviewing 20 Sub-Saharan students studying at the Moroccan Design and Technology engineering school in Meknes (ENSAM: Ecole Nationale Supérieure des Arts et Métiers) and 3 of the school staff members. Using thematic analysis and then interpretative phenomenology as a guiding framework to analyse and present the data, the findings revealed that the study's participants have experienced both their social and academic integrative patterns at the school in the same way. Indeed, three major themes were identified and analysed, namely, Programmes promoted by ENSAM on integration, relationship patterns between Sub-Saharan and Moroccan students and barriers to integration. The study revealed that the various integration efforts carried out by the school do not sufficiently cater for Sub-Saharan students' perspectives on their social and academic integration experiences. Additionally, staff knowledge regarding the integration of these minority groups is not adequately enhanced through pre-service training that covers best practices for successful integration. Language barrier and interaction patterns between Sub-Saharan students with their host ones are also found to influence Sub-Saharan students' social and academic integration. It is suggested that Moroccan Higher education institutions (HEIs) should acknowledge integration as a long and challenging process for Sub-Saharan students, and that an evaluation of integrative practices promoted at the school is needed.

IMPLEMENTASI KEBIJAKAN STANDAR PELAYANAN MINIMAL (SPM) PADA PELAYANAN KESEHATAN DIABETES MELLITUS (DM) DI PUSKESMAS BIROBULI

. This research aims to describe and explain the implementation of the SPM policy in Diabetes Mellitus (DM) health services at the Birobuli Community Health Center. This research method is a qualitative descriptive research method and data collection techniques are by means of observation, interviews and documentation. This research was conducted at the Birobuli Community Health Center using a purposive selection and selection technique for informants as many as 6 (six) people. This research uses aspects used by Donald Van Meter and Carl Van Horn, namely: 1. Policy Standards and Targets 2. Resources 3. Characteristics of Implementing Organizations 4. Communication between Implementing Organizations 5. Attitudes of Implementers 6. Social, Economic and Environmental Environments Political. Based on the results of research and discussion, standard variables and SPM policy targets for DM sufferers at the Bureaubuli Community Health Center still reached 80.13%, this figure has not yet reached the target set in Minister of Health Regulation No. 4 of 2019 because it is still hampered by the stages of data collection activities and early detection of DM sufferers. . Resource variables that do not fully support the implementation of the Diabetes Mellitus Health SPM at the Bureaubuli Community Health Center are also a factor in achieving the Health SPM target that has not reached 100%, such as human, financial and infrastructure resources that are still insufficient. The variable characteristics of implementing agents are related to the bureaucratic structure, norms and relationship patterns that are formed between policy implementers and have run well and in accordance with SOPs. Communication variables between implementers in implementing SPM policies for diabetes mellitus sufferers do not experience obstacles. The communication variable between implementers at the community health center is carried out directly because they are still in the same work area, while communication with implementers in the community is also carried out well and is supported by the use of online communication. The attitude/tendency variable of policy implementers such as the Health Service and the Bureaubuli Community Health Center gave a good response with the existence of a clear policy governing how to implement Diabetes Mellitus services in accordance with SPM Health standards. Economic, social and political environmental variables still have obstacles regarding all funding for SPM which must be accommodated with SPM. This means that in planning the Palu City regional budget, the SPM must be taken into account first in the budget planning. Apart from that, the economic capacity of the people of Palu City is also a supporting factor in the success of the Diabetes Mellitus Health SPM. Apart from that, political support is still lacking in perceived benefits in supporting DM health services that are in accordance with the SPM. The general conclusion is that the implementation of the Minimum Service Standards (SPM) policy in the Diabetes Mellitus (DM) Health Service at the Birobuli Health Center has not gone well.

The importance of neighborhood offending networks for gun violence and firearm availability

Abstract The salience of neighborhoods in shaping crime patterns is one of sociology’s most robust areas of research. One way through which neighborhoods shape outcomes is through the creation and maintenance of social networks, patterns of interactions and relationships among neighborhood residents, organizations, groups, and institutions. This paper explores the relationship between network structures generated through acts of co-offending—when two or more individuals engage in an alleged crime together—and patterns of neighborhood gun violence and gun availability. Using arrest data from New York City, we create co-arrest networks between individuals arrested in the city between 2010 and 2015. We analyze these network patterns to, first, understand the overall structure of co-offending networks and, then, assess how they impact neighborhood levels of gun violence and gun availability. Results show that local and extra-local networks play a central role in predicting neighborhood levels of shootings: neighborhoods with a greater density of local ties have higher shootings rates, and neighborhoods that share social ties have similar rates of violence. In contrast, the network dynamics involved in gun recoveries are almost entirely local: co-offending patterns within neighborhoods are strongly associated with the level of gun recoveries, especially the clustering of co-offending networks indicative of groups. Contrary to previous research, spatial autocorrelation failed to predict either shootings or gun recoveries when demographic features were considered. Social-demographic characteristics seem to explain much of the observed spatial autocorrelation and the precise measurement of network properties might provide better measurements of the neighborhood dynamics involved in urban gun violence.

The tortoise in the urban development network: How social relations affect decision-making speed in a road expansion project in Kristiansand, Norway

ABSTRACT Why do urban development projects take a long time to complete? This question is of paramount importance, both practically and academically. Practically, understanding the reasons for delays in these projects can help improve project efficiency, reduce costs, and enhance stakeholder satisfaction. Academically, the study contributes to the field of urbanization by applying social network analysis (SNA) to explore the interactions and relationships among decision-makers in urban development projects. This study draws upon original data from a road extension project in Kristiansand to illustrate and explain why the implementation of large development projects suffers from convoluted and slow decision-making processes after an overall agreement on project aims and goals has been established. This study draws on a sample of 33 actors who participated in the decisions concerning the project. I collected the data through a combination of interviews and document reviews and subsequently analyzed them using social network structural metrics and visualization techniques. The results show that the actors are connected in less dense, more centralized, and clustered networks with subgroups and low reciprocity which have hampered efficient communication, resulting in delays. The findings imply that the pattern of relationships among decision-making actors can affect the amount of time taken to reach conclusions in urban development initiatives.

Family History of Pathological Gambling, Related Factors Effects, and Suicidality in Rural Greece

ABSTRACT The aim of this study is to understand the family history of people pathologically engaging in gambling in rural Greece along with the factors and effects (suicidal thoughts/attempts) related thereto, according to participants’ perspective. Qualitative in nature, the study was based on 32 semi-structured interviews carried out with adults who attended a Treatment Facility for pathological gambling in Heraklion Crete, in Greece. A past family history of excessive gambling was reported by most of the participants, while in many cases were reported a family history of alcohol misuse. Participants perceived self-characteristics, losses/traumatic experiences, paternal and nuclear family characteristics, work-related problems, peers who also gamble and upbringing practices influenced by culture as principal pathological gambling factors. Participants also reported that pathological gambling has various effects on one’s psychological mood, behavior, and relationship patterns with self and others. Most participants also reported having suicidal thoughts, whereas a few of them mentioned at least one suicide attempt. The study concludes that pathological gambling in the current population is associated with a past family history of excessive gambling or alcohol misuse. Multiple factors also seem to contribute to its manifestation and to such adverse effects, such as suicidal thoughts and attempts.

Laryngeal nerves in the cadaveric neck and its relevance to neck surgery- A descriptive study

Background Because of its close relationship with vessels that supply the thyroid gland, it is necessary to understand and document the course of the laryngeal nerves to prevent accidental damage. Otherwise it can lead to weakness in vocal cord function if ligated along with the arteries during thyroidectomy or other surgical procedures. The aim of our study was to examine and document the origin, relationship, and branching patterns of the laryngeal nerves on the side of the neck. Method The present cross sectional anatomical study was conducted on 64 dissected necks of formalin-fixed cadavers that were utilized for undergraduate teaching purposes. Different parameters were measured in the neck along with the relationship between the laryngeal nerves and their accompanying arteries. Results We observed usual and unusual course of laryngeal nerves along with some variations. Some of the novel findings were an internal laryngeal nerve piercing the thyroid cartilage lamina and an external laryngeal nerve communicating with the superior cervical ganglion. Conclusion The present study observed anatomical variations in the course of the laryngeal nerves, which are relevant for clinical practice. The potential risks of damage to these laryngeal nerves during various surgical procedures make it necessary to review and compile its relationship with the surrounding structures.

Deriving general structure–activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods

Cyclin-dependent kinases (CDKs) play essential roles in regulating the cell cycle and are among the most critical targets for cancer therapy and drug discovery. The primary objective of this research is to derive general structure–activity relationship (SAR) patterns for modeling the selectivity and activity levels of CDK inhibitors using machine learning methods. To accomplish this, 8592 small molecules with different binding affinities to CDK1, CDK2, CDK4, CDK5, and CDK9 were collected from Binding DB, and a diverse set of descriptors was calculated for each molecule. The supervised Kohonen networks (SKN) and counter propagation artificial neural networks (CPANN) models were trained to predict the activity levels and therapeutic targets of the molecules. The validity of models was confirmed through tenfold cross-validation and external test sets. Using selected sets of molecular descriptors (e.g. hydrophilicity and total polar surface area) we derived activity and selectivity maps to elucidate local regions in chemical space for active and selective CDK inhibitors. The SKN models exhibited prediction accuracies ranging from 0.75 to 0.94 for the external test sets. The developed multivariate classifiers were used for ligand-based virtual screening of 2 million random molecules of the PubChem database, yielding areas under the receiver operating characteristic curves ranging from 0.72 to 1.00 for the SKN model. Considering the persistent challenge of achieving CDK selectivity, this research significantly contributes to addressing the issue and underscores the paramount importance of developing drugs with minimized side effects.