Development Process Research Articles

The Main Trends in the Study of the History of Development Social Communication Processes in Argentina.

The author chose to clarify the main directions in the study of the history of the development of social communication processes in Argentina as the purpose of the research. The research methodology involved identifying key problems in the history of the development of social communication processes in Argentina, after which a search was made on the Internet for three or four scientific papers that presented the results of research on the above-mentioned problems described by other authors. Next, the author identified the key problems of the history of the development of social communications according to the features described by the authors of previous studies. Based on the results of such identification, the author named the identified problems with terms that function in the scientific field of "Social Communications". The degree of closeness between the terms used by researchers and those operating in the scientific field was determined by the author based on the indicators of the closeness of the semantics of the names of theoretical methods of studying the history of social communications to the stimulus term "history of social communications". The author called this degree of closeness "social communications" in the working order, formulated conclusions and identified the main directions of studying the history of the development of social communication processes in Argentina. In the conclusions, the author ascertained the degree of achievement of the set goal and claimed that four main directions were established in the study of the history of the development of social communications processes in Argentina: the presence of eight scientific ways of studying the problem of the history of social communications by researchers; all the scientific paths listed above involve analysis from the key positions of diachrony and synchrony. The author found that the history of social communication in Argentina is closely related to social actions, social interactions and social relations along various horizontal and vertical parameters of social mobility. Keywords: trends, research problems, history of social communications, Argentina.

DTI-LM: Language Model Powered Drug-Target Interaction Prediction.

The identification and understanding of drug-target interactions (DTIs) play a pivotal role in the drug discovery and development process. Sequence representations of drugs and proteins in computational model offer advantages such as their widespread availability, easier input quality control, and reduced computational resource requirements. These make them an efficient and accessible tools for various computational biology and drug discovery applications. Many sequence-based DTI prediction methods have been developed over the years. Despite the advancement in methodology, cold start DTI prediction involving unknown drug or protein remains a challenging task, particularly for sequence-based models. Introducing DTI-LM, a novel framework leveraging advanced pretrained language models, we harness their exceptional context-capturing abilities along with neighborhood information to predict DTIs. DTI-LM is specifically designed to rely solely on sequence representations for drugs and proteins, aiming to bridge the gap between warm start and cold start predictions. Large-scale experiments on four datasets show that DTI-LM can achieve state-of-the-art performance on DTI predictions. Notably, it excels in overcoming the common challenges faced by sequence-based models in cold start predictions for proteins, yielding impressive results. The incorporation of neighborhood information through a graph attention network further enhances prediction accuracy. Nevertheless, a disparity persists between cold start predictions for proteins and drugs. A detailed examination of DTI-LM reveals that language models exhibit contrasting capabilities in capturing similarities between drugs and proteins. Source code is available at: https://github.com/compbiolabucf/DTI-LM. Supplementary data are available at Bioinformatics online.

How do food safety technical working groups within a One Health framework work? Experiences from Vietnam and Ethiopia.

Persistent challenges offragmented, food safety management in low- and middle-income countries underscore the need for more robustly coordinated mechanisms. National food safety technical working groups, operating under a One Health framework, offer potential in streamlining coordination efforts to effectively address these challenges. However, more clarity regarding their formation and functioning is important for understanding how to best establish and support such groups. The aim of this study is to systematically document the development process of established groups in Vietnam and Ethiopia. We assess the process used to establish and support the technical working groups against six critical success factors for multisectoral collaboration: drive change, define, design, realise, relate, and capture success. To do so, we review meeting minutes, Terms of Reference, and other related publications. The analysis underscores the importance of financial and technical support by development partners in initiating working groups while also highlighting the challenge posed by the absence of legal frameworks to secure government commitment. Embedding the technical working groups within existing government structures - such as One Health platforms - from the outset could help to ensure the active participation and sustainability of such groups. Both Vietnam and Ethiopia have established operational and institutionalized technical working groups to bolster national food safety efforts under a One Health framework. The approaches employed in these countries could serve as valuable models for others seeking to establish comparable multisectoral collaborative mechanisms to address emerging health risks.

Повышение эффективности производственно-хозяйственной деятельности как базовое условие обеспечения международной конкурентоспособности отечественного производства

The importance of production and economic activity increasing efficiency is basic condition for achieving the country technological sovereignty and the international competitiveness of domestic production. Therefore, the conditions of tightening market competition in the post-industrial economy determine the relevance of the presented research. Moreover, the collective West makes serious efforts to restrain the intensity of research and development processes in the Russian Federation. They introduce antiRussian sanctions, including those aimed at limiting the access of domestic enterprises to the latest world scientific developments and technologies and, accordingly, at restricting the sales market for domestic products. Subsequently, the increasing the intensity, effectiveness, and efficiency of domestic enterprises development by enhancement their production and economic activities. The purpose of the research is to identify the issues of improving domestic enterprises operating efficiency as a component of the economic security and country international competitiveness in terms of their effective solutions. Identifying a set of problems allows ones to improve the efficiency of production and economic activity of domestic enterprises. Therefore, the most realistic way to improve their competitiveness, based on increasing labour productivity using the principles of scientific organization of labour, is to increase the profits by reducing the duration of the production and sales cycles. The practical significance of the obtained results concerns with their using by federal and regional authorities for development as so as implement their mechanisms for improving the efficiency of production and economic activity as a basic condition for ensuring international competitiveness of domestic production.

Development of robotic arm control using Arduino controller

The advance of Arduino-based technology has spurred innovation in the realm of robotic arm control, offering a cost-effective and accessible platform for enthusiasts and professionals alike. This paper presents the development of robot arm control using an Arduino controller. The work involves the integration of Arduino microcontrollers and sensors to enable precise and dynamic control of a robotic arm. The proposed robot is controlled by 4 servo motors, the motors rotate left, right, front, and back. The paper discusses the challenges encountered during the development process and proposes solutions, paving the way for further advancements in this burgeoning field. With Arduino's widespread availability and affordability, the presented robotic arm control system holds promise for expanding the accessibility of robotics education and fostering innovation in automation technologies. This paper provides a glimpse into the promising synergy between Arduino and robotic arm control, highlighting the contributions and implications of this technology in shaping the future of automation.

Pengembangan Media Smart Flashcard pada Muatan Pembelajaran IPAS untuk Meningkatkan Hasil Belajar Peserta Didik Kelas V SDN Bandar 03 Batang

This study carried out has the aim of developing and testing Smart Flashcard learning media in the context of the Science and Social Studies (IPAS) curriculum for fifth-grade students at SDN Bandar 03 Batang. The background of this research is based on the need for a innovative approach in teaching to enhance students' learning outcomes more effectively. Things to home of this research is to evaluate the effectiveness of the Smart Flashcard media in improving students' understanding of complex natural resource materials. The research method involves collaboration with subject matter experts and media specialists in the development process, as well as testing this media with small and large groups of students to obtain valid and reliable data. The findings of this study indicate a rapid improvement in students' learning outcomes, particularly in understanding previously challenging natural resource materials. This research concludes that is the applicatioan of the Smart Flashcard learning media is effective in enhancing students' learning outcomes in the IPAS curriculum. These findings provide a strong foundation for the development of innovative interactive learning media in the future to create a more engaging, interactive, and effective learning environment for students in the learning process.

Exploring the development of narrative identities in emerging adults who have been in foster care

Foster care involvement is often marked by being in a frequent state of disruption, resilience, disempowerment, and self-protection (e.g., Mitchell, 2016). Although over 400,000 children are in foster care at any given time in the U.S. (Children’s Bureau, 2021), foster youth are a relatively understudied population, especially regarding their own meaning-making and the development of their sense of self. The purpose of the present study was to understand the psychological experiences that shape the construction of self-narratives in young adults who have been in foster care. The sample included nine young adults (18–24 years old) who had been in foster care at some point in their childhood; all participants identified as women. The sample was diverse in terms of racial and ethnic identities. Participants completed brief surveys and an interview regarding their background, foster care experiences, and hopes for the future. Data were analyzed using reflexive thematic analysis. Study findings highlighted how foster youth navigated uncertainty, instability, and isolation in their interpersonal relationships, as well as ambiguity in understanding their past, present, and future. Findings further highlighted the process of managing dialectics throughout development, especially regarding adverse experiences, and how youth are shaped by their past to create their future. While these themes were not exhaustive of the complete process of self-narrative development, they did provide a starting point for understanding and empowering foster youth to own their stories. The primary implication of this study is that the unique developmental context of foster care shapes the self-narrative processes and meaning-making experiences of youth.

An Overview of Pharmaceutical Applications and In vitro Micropropagation Techniques for Rare and Endangered Plant Species

Many rare and endangered plant species possess valuable secondary metabolites with pharmacological applications. These bioactive compounds are often integral to traditional medicine systems, highlighting the cultural significance of these plants. The health benefits of many medicinal species are not fully validated by contemporary scientific research, and some may be facing extinction due to habitat loss, overharvesting or climate change. This situation highlights the urgent need for effective conservation strategies of the species and sustainable cultivation methods. Micropropagation is a valuable technique for producing large numbers of plants from a single explant, significantly aiding in the conservation and commercial cultivation of rare species. Among the various types of explants, shoot tips and nodal segments have been identified as the most effective explants for micropropagation. These explants can be induced to generate multiple shoots in Murashige and Skoog (MS) medium containing Benzyl aminopurine (BAP). Thidiazuron (TDZ), Kinetin (KIN), or 2,4-Dichlorophenoxyacetic acid (2,4-D) are commonly used in MS medium to promote shoot and root development in both direct and indirect organogenesis processes. Rooting of the plantlets was typically achieved using MS medium either supplemented with Indole-3-butyric acid (IBA) or devoid of auxins, depending on the species and the specific requirements for rooting.

Performance Comparison of AI Platforms in Solving Computer Science Problems

In the rapidly evolving landscape of artificial intelligence (AI), its significance and accelerated development are undeniable. AI has emerged as a cornerstone technology with profound implications across various domains, driving innovation and reshaping the way we approach complex problems. Particularly, the utilization of AI in coding tasks has garnered substantial attention, given its potential to streamline development processes and enhance the efficiency of software engineering practices. Against this backdrop, this paper presents a detailed comparative analysis of four different AI platforms, namely ChatGPT, Gemini, Blackbox, and Microsoft Copilot, in addressing key challenges within the realm of computer science, spanning natural language processing, image processing, and cybersecurity. The study focuses on leveraging the C++ programming language to develop solutions for these multifaceted problems across the aforementioned platforms. Each platform's outputs are meticulously evaluated on various parameters including accuracy, execution time, code size, and time complexity to provide a comprehensive understanding of their performance. Furthermore, an iterative optimization methodology is employed, entailing three rounds of refinement for the code produced by each platform, with the resultant outputs subjected to comparative analysis in each iteration. Through this rigorous approach, the paper not only elucidates the efficacy of different AI platforms in addressing diverse computational challenges but also underscores the iterative enhancement process on AI platforms for refining code quality and performance across multiple domains within computer science.

The work behind an interdisciplinary team: Creating a postpartum hemorrhage virtual reality training platform

BackgroundThis article examines an interdisciplinary team's collaboration experience in the development of a virtual reality (VR) training platform for postpartum hemorrhage management. The project started during the COVID-19 pandemic to support remote training in nursing. Methods & ProcessesComprised of multidisciplinary specialists, the team collaborated through virtual meetings and digital tools such as an online whiteboard. The project went through three processes: (a) initial process, in which the team established the mutual goal, determined the targeted training, understood the subject matter, and created the framework; (b) VR development process, in which members contributed their expertise to map the task flow, create 3D objects, and develop the VR prototype; and (c) evaluation process, in which tests were performed among team members, subject matter experts, and undergraduate nursing students, to gain insights and fix problems. ConclusionLessons learned from this interdisciplinary collaboration include the accommodation of different objectives, workload expectations and distribution, changes of team members, and evaluation implementation.

Expanding the boundaries of leadership development: Propositions for leadership educators.

This article delves into the intricacies of leadership development through the lens of the leadership learning framework (LLF); challenging conventional notions by emphasizing self-awareness, relational dynamics, and values as key elements of the leadership development process. We first explore how the LLF reshapes traditional paradigms, redirecting focus from skills acquisition to personal growth rooted in self-awareness, relational dynamics, and values acquisition. Through recommendations and examples, the discussion seeks to clarify the implications of this perspective for leadership educators, advocating for programs that foster not only task proficiency but also critical reflection and a deep sense of interdependency in relationships with others in the leadership process. Ultimately, it underscores the importance of integrating self-reflection, social awareness, and value-centered approaches into leadership development programming to cultivate leaders capable of navigating the complexities of modern society.

Hybrid modeling of T-shaped partial least squares regression and transfer learning for formulation and manufacturing process development of new drug products

T-shaped partial least squares regression (T-PLSR) is a valuable machine learning technique for the formulation and manufacturing process development of new drug products. An accurate T-PLSR model requires experimental data with multiple formulations and process conditions. However, it is usually challenging to collect comprehensive experimental data using large-scale manufacturing equipment because of the cost, time, and large consumption of raw materials. This study proposes a hybrid modeling of T-PLSR and transfer learning (TL) to enhance the prediction performance of a T-PLSR model for large-scale manufacturing data by exploiting a large amount of small-scale manufacturing data for model building. The proposed method of T-PLSR+TL was applied to a practical case study focusing on scaling up the tableting process from an experienced compaction simulator to a less-experienced rotary tablet press. The T-PLSR+TL models achieved significantly better prediction performance for tablet quality attributes of new drug products than T-PLSR models without using large-scale manufacturing data with new drug products. The results demonstrated that T-PLSR+TL is more capable of addressing new drug products than T-PLSR by using small-scale manufacturing data to cover a scarcity of large-scale manufacturing data. Furthermore, T-PLSR+TL holds the potential to streamline formulation and manufacturing process development activities for new drug products using an extensive database.

Identification of the sweet orange (Citrus sinensis) bHLH gene family and the role of CsbHLH55 and CsbHLH87 in regulating salt stress.

Salt stress is one of the primary environmental stresses limiting plant growth and production and adversely affecting the growth, development, yield, and fruit quality of Citrus sinensis. bHLH (basic helix-loop-helix) genes are involved in many bioregulatory processes in plants, including growth and development, phytohormone signaling, defense responses, and biosynthesis of specific metabolites. In this study, by bioinformatics methods, 120 CsbHLHgenes were identified, and phylogenetic analysis classified them into 18 subfamilies that were unevenly distributed on nine chromosomes. The cis-acting elements of the CsbHLH genes were mainly hormone-related cis-acting elements. Seventeen CsbHLH genes exhibited significant differences in expression under salt stress. Six CsbHLH genes with significant differences in expression were randomly selected for quantitative real-time polymerase chain reaction (qRT-PCR) validation. The qRT-PCR results showed a strong correlation with the transcriptome data. Phytohormones such as jasmonic acid (JA) are essential for biotic and abiotic stress responses in plants, and CsbHLH55 and CsbHLH87 are considered candidate target genes for sweet orange MYC2 transcription factors involved in the JA signaling pathway. These genes are the main downstream effectors in the JA signaling pathway and can be activated to participate in the JA signaling pathway. Activation of the JA signaling pathway inhibits the production of reactive oxygen species and improves the salt tolerance of sweet orange plants. The CsbHLH55 and CsbHLH87 genes could be candidate genes for breeding new transgenic salt-resistant varieties of sweet orange.

Toward Healthcare 4.0: Industry 4.0 Innovating Hospital Management

Healthcare 4.0 (H4.0) is revolutionizing the way hospitals are managed, bringing innovations to the health service. Therefore, this work proposes the use of drivers aimed at hospital management improvement through H4.0 grounded in a Content Analysis. It resulted in 36 booster elements for hospital management grouped into five drivers: Process management, Data management, Resource management, Patient management, and Assistance and Development of Healthcare Professionals. These drivers contribute to strengthen the link between the main needs of hospital settings and technologies capable of meeting them in an applied manner. The most significant scientific contribution of this work lies in deepening and extending the recent block of knowledge on integrating hospital management with H4.0 technologies. Future studies should investigate the application of H4.0 technologies to assist in managing environmental, social and economic sustainability aspects of hospital settings.

Comparative analysis of phosphorylated proteomes between plerocercoid and adult Spirometra mansoni reveals phosphoproteomic profiles of the medical tapeworm.

Plerocercoid larvae of the tapeworm Spirometra mansoni can infect both humans and animals, leading to severe parasitic zoonosis worldwide. Despite ongoing research efforts, our understanding of the developmental process of S. mansoni remains inadequate. To better characterize posttranslational regulation associated with parasite growth, development, and reproduction, a comparative phosphoproteomic study was conducted on the plerocercoid and adult stages of S. mansoni. In this study, site-specific phosphoproteomic analysis was conducted via 4D label-free quantitative analysis technology to obtain primary information about the overall phosphorylation status of plerocercoids and adults. A total of 778 differentially abundant proteins (DAPs) were detected between adults and plerocercoids, of which 704 DAPs were upregulated and only 74 were downregulated. DAPs involved in metabolic activity were upregulated in plerocercoid larvae compared with adults, whereas DAPs associated with binding were upregulated in adults. Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) analyses indicated that most DAPs involved in signal transduction and environmental information processing pathways were highly active in adults. DAPs upregulated in the plerocercoid group were enriched mainly in metabolic activities. The kinases PKACA, GSK3B, and smMLCK closely interact, suggesting potential active roles in the growth and development of S. mansoni. The dataset presented in this study offers a valuable resource for forthcoming research on signaling pathways as well as new insights into functional studies on the molecular mechanisms of S. mansoni.

Unlocking the potential: Responsibly embracing artificial intelligence to advance the use of health data and analytics at the Canadian Institute for Health Information.

Canadian Institute for Health Information (CIHI) is looking to modernize and adopt new ways of working. This incudes the use of new technology, including the application of Artificial Intelligence (AI). To begin in a purposeful manner, the organization developed an AI strategy which was informed through feedback from key stakeholders and partners, from its staff and from a review of international research. The research informed several ways AI could add value to CIHI's internal operations and to the external role CIHI could play in advancing responsible AI adoption in health systems across Canada. This article describes the strategy development process and the areas of focus within the strategy.

A Case Study for Using AI Tools to Develop Training Materials for High Consequence Industries

There is a growing interest in leveraging AI technologies to enhance training development in high-consequence industries. This study investigated the integration of emerging artificial intelligence (AI) tools, such as ChatGPT, into the training development process. Previous research has demonstrated the potential of AI through content generation and support tools to improve training design practices. Building upon this foundation, we analyzed the use of generative AI tools via workshops with task and domain experts. By observing task expert interactions, we identified potential benefits, challenges, and limitations associated with the use of generative AI in training development. A domain expert evaluation provided valuable feedback on the quality of training materials developed with generative AI. Findings from this study contribute to a deeper understanding of how AI can augment training development in high-consequence industries, offering valuable guidance for training practitioners seeking to enhance training efficiency and effectiveness.

Parental Grief After the Unexpected Death of a Child: A Scoping Review About the Impact on Parent's Social Networks and the Function of Self-Help Groups.

The unexpected death of a child, whether due to accident, sudden death syndrome, suicide, or homicide, causes profound parental grief that endures for years. Often, this grief is not fully understood by the social environment, leading parents to feel increasingly misunderstood and isolated. While initial support may be provided, it can become insufficient over time. Therefore, many parents turn to support groups, finding multiple benefits such as validation of their feelings, a safe space to discuss their children and express emotions, strengthening of their social identity, and a platform for reconstructing meaning in their lives. A scoping review was carried on to review the state of knowledge regarding the role that self-help groups can play in case of bereavement due to the unexpected death of a child and regarding the impact on social relationships referred to in these contexts. The search was conducted on 11 databases and grey literature and provided 22 final results. Reviewed studies confirm the impact of this loss, particularly on mothers, and suggest that self-help groups contribute to a more favorable development of the grieving process. Despite the scarcity of research, future studies could leverage newer theoretical models and measurement tools to confirm protective, predictive, and risk factors.

Modularity and new product performance: the role of new product development speed and task uncertainty

Similar to the advantages of product modularity to a firm’s overall performance, new product modularity could provide advantages to the new product development process and result in its success in the marketplace. Accordingly, this study investigates the effect of new product modularity on its financial and market-related performance (new product performance). To identify processes underlying this effect, NPD speed and task uncertainty have been considered as its mediator and moderator, respectively. In this vein, survey data from 190 Iranian manufacturing firms have been gathered and research hypotheses have been examined using structural equation modelling and bootstrapping approach. The results of this study reveal that new product modularity improves NPD speed and new product performance. Additionally, NPD speed is found to have a partial mediating role between new product modularity and performance. Finally, this study empirically shows that the positive effect of new product modularity on new product performance amplifies in tasks marked by heightened uncertainty. The findings of the current study highlight the determinant role of modular strategy and NPD speed in developing successful new products.

Insights into Early Interactions on Innovative Developments with European Regulators.

The European Medicines Agency Innovation Task Force (ITF) acts as early point of contact for medicine and technology developers to enable innovation during early drug development stages through ITF briefing meetings. To reflect on the current pace of innovation and to assess the potential of ITF stakeholder interactions, a comprehensive analysis of the ITF briefing meetings held between 2021 and 2022 was conducted with a focus on individual questions raised by the developers and the related feedback provided by the European regulators. Questions raised during ITF briefing meetings were extracted and categorised into main and sub-categories, revealing different themes across the whole medicine development process such as manufacturing technologies, pre-clinical developments, and clinically relevant questions. There was positive feedback from regulators who gave initial guidance in 85% of the answers, provided concrete examples in 20% of the answers and recommended to continue discussions through additional regulatory procedures in 22% of the answers. This analysis frames the content and the type of topics discussed during ITF briefing meetings. Moreover, it describes the type of regulatory feedback provided to medicine developers and identified potential for improvement of these early interactions. Therefore, this analysis emphasises the role of ITF briefing meetings in fostering innovation in medicine.