Individual Processes Research Articles

A Dual-Modality Home-Based Cardiac Rehabilitation Program for Adults With Cardiovascular Disease: Single-Arm Remote Clinical Trial.

Cardiac rehabilitation (CR) is a safe, effective intervention for individuals with cardiovascular disease (CVD). However, a majority of eligible patients do not complete CR. Growing evidence suggests that home-based cardiac rehabilitation (HBCR) programs are comparable in effectiveness and safety with traditional center-based programs. More research is needed to explore different ways to deliver HBCR programs to patients with CVD. We aimed to assess the feasibility and impact of a digital HBCR program (RecoveryPlus.Health) that integrates both telehealth and mHealth modalities on functional exercise capacity, resting heart rate, and quality of life among adults with CVD. This 12-week prospective, single-arm remote clinical trial used a within-subject design. We recruited adults with CVD (aged ≥40 years) from the community with a CR-eligible diagnosis (stable angina pectoris, myocardial infarction, and heart failure) between May and August 2023. All enrolled patients referred to the RPH clinic in Roanoke, Texas, were included. The care team provided guideline-concordant CR services to study participants via two modalities: (1) a synchronous telehealth exercise training through videoconferencing; and (2) an asynchronous mobile health (mHealth) coaching app (RPH app). Baseline intake survey, electronic health record, and app log data were used to extract individual characteristics, care processes, and platform engagement data. Feasibility was measured by program completion rate and CR service use. Efficacy was measured by changes in the 6-minute walk test, resting heart rate, and quality of life (12-Item Short-Form Health Survey) before and after the 12-week program. Paired t tests were used to examine pre- and postintervention changes in the outcome variables. In total, 162 met the inclusion criteria and 75 (46.3%) consented and were enrolled (mean age 64, SD 10.30 years; male: n=37, 49%; White: n=46, 61%). Heart failure was the most common diagnosis (37/75, 49%). In total, 62/75 (83%) participants completed the 12-week study and used the telehealth modality with 9.63 (SD 3.33) sessions completed, and 59/75 (79%) used the mHealth modality with 10.97 (SD 11.70) sessions completed. Post intervention, 50/62 (81%) participants' performance in the 6-minute walk test had improved, with an average improvement of 40 (SD 63.39) m (95% CI 25.6-57.1). The average 12-Item Short-Form Health Survey's physical and mental summary scores improved by 2.7 (SD 6.47) points (95% CI 1.1-4.3) and 2.2 (SD 9.09) points (95% CI 0.1-4.5), respectively. There were no changes in resting heart rate and no exercise-related adverse events were reported. The RecoveryPlus.Health digital HBCR program showed feasibility and efficacy in a group of nationally recruited patients with CVD. The findings add to the evidence that a telehealth and mHealth dual-modality HBCR program may be a promising approach to overcome some of the main barriers to improving CR access in the United States. ClinicalTrials.gov NCT05804500; https://clinicaltrials.gov/search?cond=NCT05804500.

Concept Of Educational Social Contact In Family, School and Community

Educational social contact is a form of interaction that supports the learning process and character building of individuals, both in the family, school and community environments. This article aims to explore and elaborate the concept and important role of educative social contact in three main domains, namely family, school and community. Using a qualitative method based on a literature study, this research identifies and analyzes the various forms and impacts of educational interactions that occur in these environments. The results of the analysis show that educative social contacts that occur in families, schools and communities play a very important role in the formation of individuals' character, social skills and moral values. Family interactions, such as modeling, educative communication and character education, form the basis of child development. Schools as social agents develop students' academics and character through formal, non-formal learning and social interactions. Society introduces social norms, diversity, and the importance of cooperation and empathy. Participation in social activities, multicultural interactions and use of public facilities help individuals develop social skills to contribute to community life. These three environments complement each other in shaping individuals who are intelligent, good character and adaptive.

Формализованные схемы механизма управления организационной системой, реализующей циклы производства как совокупность разнородных бизнес-процессов

The article is devoted to the development of a mechanism for the efficient use of available resources of the organiza-tional system (OS) of a manufacturing enterprise with a cascade model of the production life cycle, in the context of the need to promptly increase the volume of manufactured products and reduce the time of delivery of products to the customer. Object of study: mechanism of resource management of the OS. Subject of study: formal aspects of this mechanism that help reduce the risk of making irrational heuristic decisions. Purpose of study: development of a for-mal-ized description of an effective mechanism of resource management of the OS. Methods: resource and process approach to management, project management and analogy method, methods and means of schematic modeling of electronic means. Main results and their significance: for individual business processes and the entire production cycle, based on the introduced components, formalized diagrams of the mechanism of optimal resource management of the OS were constructed, which made it possible, based on their application, to increase the efficiency of using the availa-ble re-sources of the enterprise and increase the output (rate of production) of its final products. Limitations of the de-veloped approach are shown.

Inference and applications of ancestral recombination graphs.

Ancestral recombination graphs (ARGs) summarize the complex genealogical relationships between individuals represented in a sample of DNA sequences. Their use is currently revolutionizing the field of population genetics and is leading to the development of powerful new methods to elucidate individual and population genetic processes, including population size history, migration, admixture, recombination, mutation and selection. In this Review, we introduce the readers to the structure of ARGs and discuss how they relate to processes such as recombination and genetic drift. We explore differences and similarities between methods of estimating ARGs and provide concrete illustrative examples of how ARGs can be used to elucidate population-level processes.

Enhancing Skin Disease Diagnosis with TFFNet: A Two-Stream Feature Fusion Network Integrating CNNs and Self Attention Block

The skin of an individual serves as the primary defense mechanism for safe guarding vital organs in the body. Although this barrier effectively protects internal organs from a variety of threats, it is still prone to damage from viral, fungal, or dust-related illnesses. Even minor skin injuries possess the potential to escalate into more severe and hazardous conditions. A prompt and precise skin disease diagnosis becomes crucial in expediting the healing process for individuals grappling with skin-related issues. The objective of this study is to develop a system based on Convolutional Neural Network (CNN) that can accurately identify various skin diseases. The proposed architecture, known as TFFNet (Two-Stream Feature Fusion Network), integrates two simultaneous modules featuring a Self-Attention (SA) block. We employ Self Attention-Convolutional Neural Networks (SACNNs) and Depthwise Separable Convolution (DWSC) to establish a diagnostic system for skin diseases. In this method, two separate CNN models are joined together, and two parallel modules (M1 and M2) are added. This greatly reduces the total number of trainable parameters. In comparison to other deep learning methods outlined in existing literature, the proposed CNN exhibits a notably lower number of learned parameters, specifically around 7 million for classification purposes. The skin disease classification was carried out on three datasets—ISIC2016, ISIC2017, and HAM10000. The model achieved testing accuracies of 89.70%, 90.52%, and 90.12% on each respective dataset.

Reinforcement Processing as a Predictor of Behavioral Treatment Response in the ADHD Summer Treatment Program

ABSTRACT Background Behavioral interventions for attention-deficit/hyperactivity disorder (ADHD) are well-established interventions, but not all children benefit from these approaches. One factor that may accurately predict treatment outcomes is how individuals process reinforcement. Objective The present study examined the association between reinforcement processing and treatment response to a well-established behavioral intervention for ADHD, the Summer Treatment Program (STP). Methods Participants included two cohorts of patients from a Midwest academic medical center STP (n = 47). Reinforcement processing was assessed via a parent-rated questionnaire and computerized neuropsychological tasks. Behavioral improvement was determined from weekly parent- and counselor-rated measures of children’s behavior over the course of the STP, as well as from STP behavioral data. Repeated measures mixed-linear models were used to determine associations between the reinforcement processing predictors and behavioral ratings. Results Greater parent-rated child impulsive/fun-seeking behavior was significantly associated with both greater counselor- and parent-rated behavioral difficulties. However, greater parent-rated child reward responsiveness was significantly associated with lower counselor-rated behavioral difficulties. Objective, task-based measures did not have any significant associations. Conclusions Impulsive/fun-seeking behaviors appear to be the strongest predictor of behavioral treatment response, with results suggesting that children with high rates of these behaviors might benefit from higher rates or values of positive reinforcement to outweigh the immediate reinforcement gained by negative behavior. Reward responsiveness results suggest that a match between a child’s specific reward preferences and the types of reinforcement provided by a behavioral intervention may also be important to treatment outcomes.

The Adoption of a “Diseased Identity” in Traditional 12-Step Groups: Exploring the Implications of These Processes for Individuals and Practitioners in Health and Social Care Services

Self-help groups are increasingly utilised by communities of interest and shared experience, services, and government departments as platforms for supporting and improving health and social care outcomes for drug and alcohol users. Traditional 12-step self-help groups like Narcotics Anonymous and Alcoholics Anonymous (NA and AA) are worldwide organisations and each have their own programme of change, language, criteria for membership, processes for problem resolution, and self-transformation. Within these types of groups, members are openly encouraged to identify with and adopt an (diseased) identity that is consistently invoked to work on the self. In the self-help recovery literature, it is widely recognised that individuals can benefit by thinking about themselves as “diseased” and then acting and behaving in a manner which is congruent with their reframed “identity”. Less is known about the processes involved in this and social-, psychological-, and health-related implications for individuals in drug- and alcohol-specific self-help groups. A thematic analysis of data from (n-36) in-depth qualitative interviews with long-term (6 months–10 years) self-help users identified four themes associated with the adoption of a diseased identity and self-help group processes: (1) normalising the disease and illness; (2) identifying as diseased; (3) living as a diseased individual; and (4) one addict helping another addict. The results of this research should not be interpretated as a critique of the 12-step approach or groups. Instead, it should be recognised that whilst improvements to individual wellbeing are reported, identifying as diseased can exacerbate negative self-perceptions that individuals hold about themselves, their character, capabilities, and ability. Being diseased, accepting disease, and identifying as diseased also has the potential to inhibit their engagement with wider social networks and professional services outside of their own fellowship or group. We conclude this paper by exploring the implications of a “diseased identity” and self-help processes for individuals who access self-help groups, and health and social care practitioners who support self-help users as they engage with services and self-help groups.

Multitemporal Quantification of the Geomorphodynamics on a Slope within the Cratère Dolomieu at the Piton de la Fournaise (La Réunion, Indian Ocean) Using Terrestrial LiDAR Data, Terrestrial Photographs, and Webcam Data

In this study, the geomorphological evolution of an inner flank of the Cratère Dolomieu at Piton de La Fournaise/La Réunion was investigated with the help of terrestrial laser scanning (TLS) data, terrestrial photogrammetric images, and historical webcam photographs. While TLS data and the terrestrial images were recorded during three field surveys, the study was also able to use historical webcam images that were installed for the monitoring of the volcanic activity inside the crater. Although the webcams were originally intended to be used only for visual monitoring of the area, at certain times they captured image pairs that could be analyzed using structure from motion (SfM) and subsequently processed to create digital terrain models (DTMs). With the help of all the data, the geomorphological evolution of selected areas of the crater was investigated in high temporal and spatial resolution. Surface changes were detected and quantified on scree slopes in the upper area of the crater as well as on scree slopes at the transition from the slope to the crater floor. In addition to their quantification, these changes could be assigned to individual geomorphological processes over time. The webcam photographs were a very important additional source of information here, as they allowed the observation period to be extended further into the past. Besides this, the webcam images made it possible to determine the exact dates at which geomorphological processes were active.

Cefadroxil photodegradation processes sensitized by natural pigments: mechanistic aspects and impact on the antimicrobial function.

Cefadroxil is a widely used antibiotic with a low elimination efficiency in wastewater treatments plants, so it represents a contaminants of emerging concern that should be removed. The photosensitization process that involves natural pigments and visible sunlight can be offered as an environmentally friendly alternative to be considered for Cefadroxil degradation. In this investigation, we carried out a mechanistic and kinetic approach to Cefadroxil photodegradation sensitized by Riboflavin and Humic Acid, in individual and combined processes. Our experiments indicate that Cefadroxil is able to interact with the excited states of Riboflavin as well as with the photogenerated reactive oxygen species, with an important contribution of singlet oxygen. The antibiotic was less sensitive to the photodegradation in the presence of Humic Acids and in the mixture of Riboflavin and Humic Acids. Self-sensitization processes and internal filter effects are proposed as possible explanations for the observed phenomenon. The reaction between Cefadroxil and singlet oxygen showed a dependence with the pH of the medium, the photodegradation kinetic constants are greater at alkaline pH compared to neutral pH. The reaction is favored when the anionic species of the antibiotic is present. Microbiological tests on S. aureus indicated that the antibiotic reduce its antimicrobial activity as a consequence of the photooxidative process mediated by singlet oxygen. We believe that the results are relevant since, the sensitized photodegradation process could lead to the oxidation of Cefadroxil and to the progressive loss of its antimicrobial function, this fact could contribute to the decrease in the generation of bacterial multi-resistance to antibiotics in the environment.

A Sociological Take on Language Generative AI Tools

Language represents the medium in which human experiences are uniquely encoded by how an individual processes and produces language. The development of generative artificial intelligence tools such as ChatGPT created a challenge in the context of education due to how humans, being humans, often employ tools in unconventional ways as hallmarks of our creativity and critical thinking. Efforts to resist the incursion of AI into academic work have evidently failed, as observable from how the Russell Group changed its stance from prior bans on AI to the current acceptance of AI to a large degree (4 July 2023). This acceptance created tremors for the longstanding traditions of knowledge acquisition and production, which many academics are paying increasing attention to. In a bid to better understand the impact of such acceptance, the study was carried out to investigate the impact of AI use for sociological work. Employing a pilot study of a pragmatic approach with 20 graduates, it was found that while there was an even distribution of preference between personal writing and AI writing, academic submission preferences scaled towards AI writing. Preference for AI writing for submission was noted to be twice that of personal writing, despite an even distribution of preference. Findings also noted the qualitative differences between personal writing (268 words with 84 unique words) and AI writing (250 with 10 unique words) in word range and unique words. The analysis notes significant differences in word range between personal writing (± 35.93) and AI writing (± 4.28), reflecting a convergence of writing rhetoric that proves to be largely detrimental to sociological developments. The discussion presents considerations in three dimensions: the challenge on education, the challenge on language education, and the challenge on the sociological lens.

Detecting five-pattern personality traits using eye movement features for observing emotional faces.

The five-pattern personality traits rooted in the theory of traditional Chinese medicine (TCM) have promising prospects for clinical application. However, they are currently assessed using a self-report scale, which may have certain limitations. Eye tracking technology, with its non-intrusive, objective, and culturally neutral characteristics, has become a powerful tool for revealing individual cognitive and emotional processes. Therefore, applying this technology for personality assessment is a promising approach. In this study, participants observed five emotional faces (anger, happy, calm, sad, and fear) selected from the Chinese Facial Affective Picture System. Utilizing artificial intelligence algorithms, we evaluated the feasibility of automatically identifying different traits of the five-pattern personality traits from participants' eye movement patterns. Based on the analysis of five supervised learning algorithms, we draw the following conclusions: The Lasso feature selection method and Logistic Regression achieve the highest prediction accuracy for most of the traits (TYa, SYa, SYi, TYi). This study develops a framework for predicting five-pattern personality traits using eye movement behavior, offering a novel approach for personality assessment in TCM.

Drug therapy safety during pregnancy and breastfeeding

The treatment of dermatological diseases during pregnancy and breastfeeding poses particular challenges for the therapist for medical and legal reasons. Maternal and fetal influencing factors must be taken into account and the special need for protection of the fetus, infant, and mother must be considered in the treatment decision, usually outside of the approval process. Due to the lack of or insufficient evidence for most therapies during pregnancy and breastfeeding, an individual risk-benefit assessment should always be carried out, which also takes into account the risk of nontreatment. In the case of difficult or potentially momentous decisions, information from relevant databases, intercollegiate consultation and, if possible, advice from aclinical ethics committee should be obtained. In any case, the parents, and in particular the mother, should be carefully informed and their consent should be obtained and documented. Recommendations can be made for common chronic inflammatory and infectious dermatoses, but these should be reviewed on acase-by-case basis. For other therapy situations, an individual analysis and decision-making process is necessary. Overall, however, it can be stated that digital data processing and availability, combined with careful analysis, empathetic consideration and information for those affected, enables asuccessful treatment decision to be made in the vast majority of cases.

MultiSC: a deep learning pipeline for analyzing multiomics single-cell data.

Single-cell technologies enable researchers to investigate cell functions at an individual cell level and study cellular processes with higher resolution. Several multi-omics single-cell sequencing techniques have been developed to explore various aspects of cellular behavior. Using NEAT-seq as an example, this method simultaneously obtains three kinds of omics data for each cell: gene expression, chromatin accessibility, and protein expression of transcription factors (TFs). Consequently, NEAT-seq offers a more comprehensive understanding of cellular activities in multiple modalities. However, there is a lack of tools available for effectively integrating the three types of omics data. To address this gap, we propose a novel pipeline called MultiSC for the analysis of MULTIomic Single-Cell data. Our pipeline leverages a multimodal constraint autoencoder (single-cell hierarchical constraint autoencoder) to integrate the multi-omics data during the clustering process and a matrix factorization-based model (scMF) to predict target genes regulated by a TF. Moreover, we utilize multivariate linear regression models to predict gene regulatory networks from the multi-omics data. Additional functionalities, including differential expression, mediation analysis, and causal inference, are also incorporated into the MultiSC pipeline. Extensive experiments were conducted to evaluate the performance of MultiSC. The results demonstrate that our pipeline enables researchers to gain a comprehensive view of cell activities and gene regulatory networks by fully leveraging the potential of multiomics single-cell data. By employing MultiSC, researchers can effectively integrate and analyze diverse omics data types, enhancing their understanding of cellular processes.

‘The Church is against us!’ Feminist collective apostasies and the struggle for gender equality in Argentina and Spain

ABSTRACT Feminist mobilisations risen across the globe in the last few years. This is especially the case in Latin America and Spain, where social movements to claim the legalisation of abortion and to end violence against women have become key political actors. Some of these movements have adopted collective apostasies as a tool within their mobilisation repertoires to denounce the role of the Catholic Church in maintaining the patriarchal system and interfering in the state and politics. By collectively and formally leaving the Church, members of these groups bring together the fights for gender equality and for the separation of church and state. In so doing, they make apostasy a highly politicised action, far from how previous scholarly conceptualisations of institutional disaffiliation considered it an individual process of religious disengagement. Feminist groups identify the Church as an enemy of women’s rights and while they acknowledge the restricted impact apostasies may have, they perceive them as useful tools to open up public debates around the contentious intersection of institutional religion and gender. This contribution draws on interviews, ethnographic observations, and document and visual analysis of feminist collective apostasies in Argentina and Spain to unpack the discourses generated in and around them.

Creative Minds in a Polarized World

ABSTRACTIn today's digital milieu, characterized by pervasive media exposure, the intricate interplay between individual differences and cognitive processes has garnered significant scholarly interest. A notable facet of this interrelation pertains to the nexus between cognitive flexibility and individuals' engagement with online information. Recognized as essential for creative cognition, cognitive flexibility encompasses various facets of human reasoning vital for adapting to new information and challenging entrenched perspectives. This review expands the traditional “out‐of‐the‐box” thinking paradigm beyond creative cognition to encompass a comprehensive reasoning framework that questions entrenched viewpoints and fixed cognitive schemas. By analyzing recent scholarly discussions on fake news and polarization, we underscore the pivotal role of cognitive flexibility in guiding individuals' critical navigation of the digital information landscape, promoting nuanced and less polarized perspectives. Introducing the concept of Socio‐Cognitive Polarization, we elucidate how individuals with differing ideological backgrounds can exhibit escalating cognitive divisions and absolutist tendencies. Leveraging insights from existing literature, we present methodological strategies for combating misinformation and nurturing critical thinking to counteract the detrimental impact of deceptive narratives on societal discourse. This scholarly exposition advances the understanding of the challenges associated with misinformation dissemination and offers empirically grounded approaches for enhancing critical cognition in the digital era.

Enhanced Feedstock Processability for the Indirect Additive Manufacturing of Metals by Material Extrusion through Ethylene-Propylene Copolymer Modification.

Filament-based material extrusion (MEX) represents one of the most commonly used additive manufacturing techniques for polymer materials. In a special variation of this process, highly filled polymer filaments are used to create metal parts via a multi-step process. The challenges associated with creating a dense final part are versatile due to the different and partly contrary requirements of the individual processing steps. Especially for processing in MEX, the compound must show sufficiently low viscosity, which is often achieved by the addition of wax. However, wax addition also leads to a significant reduction in ductility. This can cause filaments to break, which leads to failure of the MEX process. Therefore, the present study investigates the influence of different ethylene-propylene copolymers (EPCs) with varying ethylene contents as a ductility-enhancing component within the feedstock to improve filament processing behavior. The resulting feedstock materials are evaluated regarding their mechanical, thermal and debinding behavior. In addition, the processability in MEX is assessed. This study shows that a rising ethylene content within the EPC leads to a higher ductility and an enhanced filament flexibility while also influencing the crystallization behavior of the feedstock. For the MEX process, an ethylene fraction of 12% within the EPC was found to be the optimum regarding processability for the highly filled filaments in MEX and the additional processing steps to create sintered metal parts.

The Effect of Time Display Format on Cognitive Performance of Integrated Meteorological Radar Information.

A proper time display format is essential for pilots to understand integrated meteorological radar information, thereby making informed flying decisions and steering clear of hazardous weather. Previous studies on time display format supported the advantages of digital format, while some studies found that analog clock format is superior to digital format. This study explored the effect of time display format on the cognitive performance of integrated meteorological radar information through two experiments. Experiment 1 first examined the effects of digital and analog clock displays on the timing of individual processing advance or delay changes in a general scenario. Then, Experiment 2 was conducted in a simulated flight scenario to investigate the advantages and disadvantages of digital and analog clock display in delay time processing with and without time pressure. The results showed the following: (1) Analog clock has more advantages than digital display format in processing the varying time difference. (2) Whether with or without time pressure, analog clock is more conducive to individual cognition of integrated meteorological radar information than digital time display. (3) The length of delay time is an important factor affecting individual time cognition, and it can also affect the cognition of radar information. The longer the delay time, the more difficult it is to identify the time and understand the information. These findings provide a certain reference for the design of the integrated meteorological radar information display interface.

Comparative Analysis: Machine vs Human Translation of Educational Scientific Texts. Challenges and Solutions

Introduction. The purpose of this article is to analyze the features of identity formation and identification processes in postmodern society and in digital society. The article explores various approaches to the concept of «identity» within the framework of socio-humanitarian theories. The interrelation of real and virtual identity, the emergence of new forms and models of identity are considered. Two approaches to the analysis of identity in a digital society are analyzed and compared: digital optimism and digital pessimism.Methodology and sources. The article uses a comparative analysis of various theoretical approaches to identity formation. An interdisciplinary approach is used to understand the features of identity in the era of digitalization. As the main sources for the study of the phenomenon of identity there were used works of classics of sociology and psychology E. Erickson, J.G. Meade, E. Durkheim, as well as studies of representatives of modern philosophical and sociological theories Z. Bauman, A. Giddens, S. Turkle, A.A. Lisenkova, T.G. Leshkevich.Results and discussion. It is shown that in postmodern society, identity is characterized by the processes of individualization, fragmentation and the absence of a single cultural center. In a digital society, along with the processes of individualization, there are processes of standardization and unification of person. It is concluded that in a digital society, identity has positive and negative sides. On the one hand, there is a positive vector for the use of online communications, network interaction of people, which destroys spatial and temporal boundaries, as well as social barriers. On the other hand, new types of virtual identity are being formed, challenging a person's own identity.Conclusion. It is concluded that the digital society changes human identity, identification practices and strategies. The consequence of these processes is the formation of a person fused with digital technologies, which leads to the transformation of the social order, social norms and society as a whole.

Digital Technologies and Society: Identity Transformation

Introduction. The purpose of this article is to analyze the features of identity formation and identification processes in postmodern society and in digital society. The article explores various approaches to the concept of «identity» within the framework of socio-humanitarian theories. The interrelation of real and virtual identity, the emergence of new forms and models of identity are considered. Two approaches to the analysis of identity in a digital society are analyzed and compared: digital optimism and digital pessimism.Methodology and sources. The article uses a comparative analysis of various theoretical approaches to identity formation. An interdisciplinary approach is used to understand the features of identity in the era of digitalization. As the main sources f or the study of the phenomenon of identity there were used works of classics of sociology and psychology E. Erickson, J.G. Meade, E. Durkheim, as well as studies of representatives of modern philosophical and sociological theories Z. Bauman, A. Giddens, S. Turkle, A.A. Lisenkova, T.G. Leshkevich.Results and discussion. It is shown that in postmodern society, identity is characterized by the processes of individualization, fragmentation and the absence of a single cultural center. In a digital society, along with the processes of individualization, there are processes of standardization and unification of person. It is concluded that in a digital society, identity has positive and negative sides. On the one hand, there is a positive vector for the use of online communications, network interaction of people, which destroys spatial and temporal boundaries, as well as social barriers. On the other hand, new types of virtual identity are being formed, challenging a person's own identity.Conclusion. It is concluded that the digital society changes human identity, identification practices and strategies. The consequence of these processes is the formation of a person fused with digital technologies, which leads to the transformation of the social order, social norms and society as a whole.

Catalytic Potential-Guided Design of Multi-Enzymatic System for DHA Production from Glycerol

The growing demand for sustainable chemical production has spurred significant interest in biocatalysis. This study is framed within the biocatalytic production of 1,3-dihydroxyacetone (DHA) from glycerol, a byproduct of biodiesel manufacturing. The main goal of this study is to address the challenge of identifying the optimal operating conditions. To achieve this, catalytic potential, a lumped parameter that considers both the activity and stability of immobilized biocatalysts, was used to guide the design of a multi-enzymatic system. The multi-enzymatic system comprises glycerol dehydrogenase (GlyDH) and NADH oxidase (NOX). The enzymatic oxidation of glycerol to DHA catalyzed by GlyDH requires the cofactor NAD+. The integration of NOX into a one-pot reactor allows for the in situ regeneration of NAD+, enhancing the overall efficiency of the process. Furthermore, immobilization on Ni+2 agarose chelated supports, combined with post-immobilization modifications (glutaraldehyde crosslinking for GlyDH), significantly improved the stability and activity of both enzymes. The catalytic potential enabled the identification of the optimal operating conditions, which were 30 °C and pH 7.5, favoring NOX stability. This work establishes a framework for the rational design and optimization of multi-enzymatic systems. It highlights the crucial interplay between individual enzyme properties and process conditions to achieve efficient and sustainable biocatalytic transformations.