Development Process Research Articles

Diffusion-driven fed-batch fermentation in perforated ring flasks.

Simultaneous membrane-based feeding and monitoring of the oxygen transfer rate shall be introduced to the newly established perforated ring flask, which consists of a cylindrical glass flask with an additional perforated inner glass ring, for rapid bioprocess development. A 3D-printed adapter was constructed to enable monitoring of the oxygen transfer rate in the perforated ring flasks. Escherichia coli experiments in batch were performed to validate the adapter. Fed-batch experiments with different diffusion rates and feed solutions were performed. The adapter and the performed experiments allowed a direct comparison of the perforated ring flasks with Erlenmeyer flasks. In batch cultivations, maximum oxygen transfer capacities of 80mmolL-1h-1 were reached with perforated ring flasks, corresponding to a 3.5 times higher capacity than in Erlenmeyer flasks. Fed-batch experiments with a feed reservoir concentration of 500gglucoseL-1 were successfully conducted. Based on the oxygen transfer rate, an ammonium limitation could be observed. By adding 40gammonium sulfateL-1 to the feed reservoir, the limitation could be prevented. The membrane-based feeding, an online monitoring technique, and the perforated ring flask were successfully combined and offer a new and promising tool for screening and process development in biotechnology.

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

This paper describes the design and methodology for the development and validation of an intelligent model in the healthcare domain. The generated model relies on artificial intelligence techniques, aiming to predict the length of stay and survival rate of patients admitted to a critical care hospitalization unit with better results than predictive systems using scoring. The proposed methodology is based on the following stages: preliminary data analysis, analysis of the architecture and systems integration model, the big data model approach, information structure and process development, and the application of machine learning techniques. This investigation substantiates that automated machine learning models significantly surpass traditional prediction techniques for patient outcomes within critical care settings. Specifically, the machine learning-based model attained an F1 score of 0.351 for mortality forecast and 0.615 for length of stay, in contrast to the traditional scoring model’s F1 scores of 0.112 for mortality and 0.412 for length of stay. These results strongly support the advantages of integrating advanced computational techniques in critical healthcare environments. It is also shown that the use of integration architectures allows for improving the quality of the information by providing a data repository large enough to generate intelligent models. From a clinical point of view, obtaining more accurate results in the estimation of the ICU stay and survival offers the possibility of expanding the uses of the model to the identification and prioritization of patients who are candidates for admission to the ICU, as well as the management of patients with specific conditions.

Comparison of kinematics and pedobarography findings between the unaffected foot of patients with unilateral clubfoot and controls.

Idiopathic clubfoot (ICF) involves structural abnormalities in the lower extremities. Approximately half of patients have unilateral ICF, which could be due to differences in limb formation. The contralateral unaffected foot may have subclinical ICF. The objectives were to compare ankle and foot kinematics and pedobarography findings between the unaffected foot of patients with unilateral ICF and controls. Eleven children with unilateral ICF (11 unaffected feet, 11.7 ± 3.8years) and 15 age-matched controls (30 control feet, 11.1 ± 3.0years) were enroled. Five complete gait trials were performed. Data were collected using ten cameras and a twom long Footscan system and compared between groups using the Wilcoxon rank sum test. All children with ICF underwent the selective soft tissue release procedure. The unaffected feet showed limited ranges in inversion-eversion and dorsiflexion-plantar flexion on kinematic analysis. There was a delay in landing time in all regions of the foot during heel rise and propulsion. The peak time was achieved significantly later in the unaffected feet compared to the controls. Although plantar pressure parameters were comparable, unaffected feet showed a larger contact area in the midfoot region. Gait data on the unaffected foot in unilateral ICF patients do not correspond to those of controls despite an indistinguishable clinical appearance. This could be due to the effect of treatment, the process of foot development, or a combination. The relationship between genetics and gait deviation in patients with unilateral ICF needs further evaluation. The unaffected foot should receive similar attention during follow-up.

MATERNAL BREAST MILK AND ITS COMPOSITION FROM THE PERSPECTIVE OF RATIONAL FEEDING OF THE CHILD

MATERNAL BREAST MILK AND ITS COMPOSITION FROM THE PERSPECTIVE OF RATIONAL FEEDING OF THE CHILD

ІСТОРІЯ ЄВРЕЙСЬКОЇ ГРОМАДИ ТА СИНАГОГ НА ТЕРИТОРІЇ М. ХАРКІВ

The article explores the history of the Jewish community in Kharkiv and the role that synagogues played in its life. Focusing on the significance of synagogues as centers of spiritual and cultural life, the article emphasizes their importance in shaping the city's cultural landscape. Through the analysis of historical sources and documents, the article unfolds the process of the Jewish community's development in Kharkiv and the challenges it faced over the years. In the early stages of Kharkiv's development, the Jewish community was an integral part of urban life. Synagogues became gathering places not only for religious ceremonies but also for the exchange of news, discussions, and important decisions for the community. They played a key role in preserving cultural traditions, education, and the preservation of language and rituals. However, the history of the Jewish community in Kharkiv also reflects challenges and upheavals. Political and social changes, such as revolutions, wars, and periods of repression, significantly influenced its life. Synagogues remained important during these turbulent times, often becoming centers of support and hope for the community. They played a role not only in the religious sphere but also in supporting social and charitable initiatives. Additionally, the article examines the influence of political, social, and cultural factors on the Jewish community and its synagogues. For example, the period of severe restrictions during the communist era affected religious practices and the free expression of cultural identity. In such conditions, synagogues became not only places of prayer but also symbols of resilience and faith in the future. The article provides important insights into how synagogues influenced the development and life of the Jewish community in Kharkiv during different historical periods. It emphasizes not only the religious significance of these buildings but also their importance in shaping the social and cultural identity of the community.

Building a Green Future: The Role of Environmental Accounting in the Public Sector

This article aims to understand the role of environmental accounting in the public sector and how it can contribute to the development of a green and sustainable future. Using a qualitative approach and research instruments such as interviews and document analysis, this study finds that environmental accounting can be an important strategic tool for the public sector. In this context, environmental accounting can assist in (1) Informing decision-making by providing relevant information on the environmental costs and benefits of various actions and policies. (2) Increasing transparency and accountability by reporting on the environmental impacts of public sector activities. (3) Identify opportunities for efficiency and savings by tracking and analyzing resource use. (4) Encourage innovation by highlighting opportunities for the development of new processes or products that are more environmentally friendly. (5) And, support the achievement of sustainable goals by assisting in setting, tracking, and achievement of sustainable goals. This research contributes to our understanding of the strategic role of environmental accounting in promoting sustainability in the public sector, demonstrating that its adoption can help build a green and sustainable future. Keywords: environmental accounting, public sector

Development of Efficient and Scalable Production Process of Analytical Grade Sodium Chloride at Laboratory Scale

Development of Efficient and Scalable Production Process of Analytical Grade Sodium Chloride at Laboratory Scale

Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System

Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges in machine learning to select the appropriate classification algorithms, most especially in the area of classification of extracted features to have low classification time, high sensitivity and accuracy of the classification algorithms, so it is very important to explore the performance of different algorithms in image classification. The three selected supervised learning classification algorithms: Learning Vector Quantization (LVQ), Relevance Vector Machine (RVM), and Support Vector Machine (SVM) performance were evaluated so as to know the most effective out of the selected algorithms for facial images classification. The development of the system has four stages, the first stage is image acquisition and 180 images were taken by digital camera under same illumination and light colour background. The second stage is pre-processing to improve the images data by suppressing unwilling distortion; grayscale and normalization were used for image pre-processing. The third stage is feature extraction; Discrete Cosine Transform (DCT) is adopted for this purpose. While the fourth stage is face recognition classification, Receiver Operating Characteristics (ROC) was used to test the performance of each the three algorithms. However the Learning Vector Quantization algorithm, Relevance Vector Machine and Support Vector Machine performance have not been compared together to the most effective out of the three algorithms in term of False Positive Rate, Sensitivity, Specificity, Precision, Accuracy and Computation Time. Hence, this work evaluated the performance of the Learning Vector Quantization; Relevance Vector Machine and Support Vector Machine classification algorithms in facial recognition system and Support Vector Machine outwit the other two algorithms in facial recognition in term of specificity, recognition time and recognition accuracy at different threshold.

Size and Shape Selective Classification of Nanoparticles

As nanoparticle syntheses on a large scale usually yield products with broad size and shape distributions, the properties of nanoparticle-based products need to be tuned after synthesis by narrowing the size and shape distributions or via the removal of undesired fractions. The development of property-selective classification processes requires a universal framework for the quantitative evaluation of multi-dimensional particle fractionation processes. This framework must be applicable to any property and any particle classification process. We extended the well-known one-dimensional methodology commonly used for describing particle size distributions and fractionation processes to the multi-dimensional case to account for the higher complexity of the property distribution and separation functions. In particular, multi-dimensional lognormal distributions are introduced and applied to diameter and length distributions of gold nanorods. The fractionation of nanorods via centrifugation and by orthogonal centrifugal and electric forces is modeled. Moreover, we demonstrate that analytical ultracentrifugation with a multi-wavelength detector (MWL-AUC) is a fast and very accurate method for the measurement of two-dimensional particle size distributions in suspension. The MWL-AUC method is widely applicable to any class of nanoparticles with size-, shape- or composition-dependent optical properties. In addition, we obtained distributions of the lateral diameter and the number of layers of molybdenum disulfide nanosheets via stepwise centrifugation and spectroscopic evaluation of the size fractions.

The Mode of Being of Popular Literature in the 20th Century

The article is devoted to the functioning of literature (and, more broadly, cultural texts) in popular circulation and the transformation of their role in the 20th century. The starting point for the analysis is the link between commercialisation (as an immanent feature of the ‘lowbrow’ circulation) and the artistic quality of the output that is part of it. The examples of the phenomena under discussion come from different linguistic milieux. This highlights the transnational nature of popular works, which feature invariant solutions to plots. In these two contradictory yet simultaneous tendencies can be observed: schematisation and de-schematisation, which renews conventionalised solutions. The author also emphasises the role of English-language works in the creation of figures of the collective imagination. Their presence in the minds of readers and the transformations they undergo with the development of industrial society and urbanisation processes can be traced from the late 19th century to the 1990s. That is why the 20th century — a period of intense expansion of popular culture — is a cohesive cultural entity with distinguishable individual periods. They are usually associated with socio-political crises, with stories becoming a cultural response to them and, at the same time, their artistic reception in the imaginarium communis. In addition, this is a time of technological progress, significantly affecting the distribution and media-based mediation of cultural texts in popular circulation. Literature has ceased to be a ‘separate phenomenon’ in it, hence the need to look at it as a part of a larger whole, with which it enters into various relationships. The domination of English-language output during the analysed period is associated with the global hegemony of the Anglo-American entertainment model. At the same time — in the works available to Polish-speaking readers — its ‘over-presence’ stems from the appearance after 1989 of a large number of translations, which have significantly influenced domestic pop-culture; moreover, their popularity in the reality of the free market economy has been determined by the read- ers themselves with their purchasing choices. It is hard to speak in this situation of the existence of national models of popular culture, although undeniably there are authors who dominate the local publishing markets. And yet they, too, exist in the context of the global pop culture industry.

Morpho-physiological traces of exogenous biogenic iron oxide nanoparticles in basil seedlings

Chemical fertilizers used in plant development and differentiation have become a global problem affecting the entire ecosystem, especially soil pollution. Food production demand with the increasing population has encouraged scientists to use biogenic nanoparticles in the agricultural field. Evaluation of growth, development, and differentiation processes of sweet basil (Ocimum basilicum L.) seedlings at gradually increasing concentrations of biogenic iron oxide nanoparticles (BIO-NPs) were identified by morphological and physiological parameters in this study. The results showed that growth parameters reached the maximum value at 100 mg/L but were less at other concentrations. At similar concentration, the stomatal density of the leaf was the maximum, while the stomatal area showed the lowest value. The levels of H2O2 and malondialdehyde (MDA) decreased in the treated seedlings. BIO-NPs increased the antioxidant defense and supported its growth by changing the antioxidant enzyme activities, H2O2, and MDA contents. The BIO-NP treatment provided positive improvements in phytochemical content in parallel with the growth and development of sweet basil seedlings. Different growth parameters, physiological results, supporting enzyme activities, and biochemical data revealed the contribution of the BIO-NP treatments to the growth and development of sweet basil seedlings. BIO-NPs improved higher phytochemical production of sweet basil, which may be suitable for its propagation on a commercial scale.

On the Need to Develop a Federal Program to Optimize the Economic Base of Public Control in Russia

Annotation. This article is devoted to the analysis of the prospects for the development and adoption of a federal program aimed at optimizing the economic basis of public control in the Russian Federation. The authors substantiate the position that one of the main problems hindering the development of public control in the country is its weak economic base. Due to the fact that public authorities play an important role in the process of formation and functioning of subjects of public control in Russia, the basis for financing the organization and activities of public control are funds from state and municipal budgets. In this regard, the authors substantiate the need for the development and adoption by the Government of the Russian Federation of a comprehensive federal program dedicated to strengthening organizational, technological, material and property independence and independence of subjects of public control. The work substantiates the need to include in the draft of the above-mentioned federal program sections devoted to: ensuring the material and technical independence of subjects of public control from public authorities; ensuring their financing primarily from protected items of public budgets; development of processes for the use of modern information and communication technologies by these entities; consolidation of a system of criteria for assessing the effectiveness and efficiency of the work of subjects of public control as the main condition for increasing the volume of their funding; consolidating a system of control on the part of public authorities regarding budget financing of the activities of these entities; systems for organizing public-private partnerships in the field of public control. In addition, the work substantiates the system of proposals for participation in the development of the above-mentioned federal program of the country's Public Chamber.

Design of Software Reliability Prediction using Radial Basis Function Networks with Nonlinear Analysis and Topological Considerations

This study presents a thorough methodology for predicting software reliability by employing Radial Basis Function Networks (RBFNs). By using machine learning methodologies such as Radial Basis Function Networks (RBFNs), software development teams are enabled to make well-informed decisions, optimize resource allocation, and proactively mitigate potential dependability concerns. Consequently, this results in improved software quality and heightened customer happiness. This methodology involves multiple stages, starting with data collection and preprocessing. We assemble a comprehensive dataset comprising historical software performance metrics, defect reports, and relevant development process information. After data cleansing and feature engineering, we split the dataset into training, validation, and testing subsets. The core of this approach lies in the construction and training of RBFNs. These neural networks consist of an input layer, a hidden layer with radial basis functions, and an output layer. The architecture parameters, particularly the number of hidden neurons and the spread parameter of the radial basis functions, are optimized through a systematic hyperparameter tuning process using the validation dataset. Upon achieving an optimal model configuration, we rigorously evaluate the RBFN predictive capabilities using the testing dataset.

A Systemic Approach to the Product Life Cycle for the Product Development Process in Agriculture

For a long time, a company’s Product Development Process (PDP) was seen as supporting the operations department, although PDP decisions and mistakes have a considerable impact on market performance. This is critical even in agriculture where bad habits and practices in the PDP can lead rural producers to great losses. Therefore, this research investigates the effect of the PDP on the market performance of rural products (bananas) in the southern region of Brazil, based on two analyses: (i) how sustainability practices support the PDP phases and (ii) how the phases of the Product Life Cycle Assessment (LCA) mediate sustainability practices and PDP phases. This study presents a quantitative analysis using Confirmatory Factor Analysis (CFA) and hierarchical ordinary least squares (OLS) regression of data obtained from a survey of 110 rural producers who directly participate in the banana production and planning process in southern Brazil. Our results show that sustainability practices support the PDP, and we confirm that the product development and post-development phase has an effect on market performance. In addition, we identify that in the pre-development phase of the PDP, dealing with rural products (bananas), the maturity stage of the LCA mediates sustainability. In the PDP development phase, we conclude that rural families who develop economic and environmental practices with their products, which are in the market growth phase may have reduced results. As for the post-development phase of the PDP, we conclude that when companies invest in environmental and social practices, there is a complete mediation of the effect, where these practices lose strength if the product is in the introductory and maturity phases in the market. In an original matter, our study contributes to demonstrating the value of the product life cycle for the Product Development Process in agriculture using sustainability practices through a systemic approach, filling the gap in the literature due to a lack of integrated research on these areas seen.

Sustainable Software Development: A Scrum and Kanban Approach

This The ever-increasing demand for robust software solutions requires continuous improvements in software development techniques. Despite the tremendous positive impact software has on society, it is important not to overlook its negative impact on the environment. With climate change becoming more apparent, it is important to understand and address the environmental impacts of software development.This research seeks to explore ways to integrate sustainable development into existing software development methodologies, with a particular focus on Scrum and Kanban. The research basically consists of two parts: a comprehensive review of existing literature to identify solutions and guidelines for sustainable software development,followed by interviews with developers and managers using Scrum and Kanban methodologies on a regular basis. The goal is to assess the sustainability of their practices and identify opportunities for improvement. Through a literature review, a taxonomy of key characteristics recommended for consideration throughout the software development process was established. Combining these factors with the insights gleaned from the interviews, the study aims to propose the enhancement of software-related planning and development within the framework of Scrum and Kanban, thereby providing factors a sustainability has improved.

Weaving a foundational narrative – place-making and change in an old-industrial town in East Germany

ABSTRACT In light of economic, social and discursive changes, old-industrial towns and regions increasingly apply entrepreneurial strategies to actively shape discourses as part of place-making processes. Foundational narratives play an important role in this regard. They are used by agents to foster cohesion in a local community, to legitimize and anchor their actions and goals and to make sense of complex development processes. Applying the methodology of Critical Narrative Analysis, the present study zooms in such processes of narrative building in Lauchhammer (Germany). Despite having experienced the decline of the most important parts of its industry, local actors still mobilize the industrial past in order to strengthen local identity and attract new businesses and manufacturers. Yet, the paper shows that different agents foreground different aspects of the industrial past and narratives may be contested. At the same time, local, regional and national development strategies are closely interlinked offering ‘opportunity spaces’ for local actors but raising also questions about a potential (de)legitimization of local narratives.

Global research landscape and trends of cancer stem cells from 1997 to 2023: A bibliometric analysis.

Cancer stem cells (CSCs) are a subset of cells with self-renewal ability and tumor generating potential. Accumulated evidence has revealed that CSCs were shown to contribute to tumorigenesis, metastasis, recurrence and resistance to chemoradiotherapy. Therefore, CSCs were regarded as promising therapeutic targets in cancer. This study is the first to reveal the development process, research hotspots, and trends of entire CSCs research field through bibliometric methods. All relevant publications on CSCs with more than 100 citations (notable papers) and the 100 most cited papers (top papers) during 1997 to 2023 were extracted and analyzed. Cancer research published the largest number of papers (184 papers). The USA accounted for the most publications (1326 papers). Rich, JN was the author with the most publications (56 papers) and the highest M-index (3.111). The most contributive institution was the University of Texas System (164 papers). Before 2007, research mainly focused on the definition and recognition of CSCs. Between 2007 and 2016, with the emergence of the terms such as "sonic hedgehog," "metabolism," "oxidative phosphorylation," and "epithelial mesenchymal transition," research began to shift toward exploring the mechanisms of CSCs. In 2016, the focus transitioned to the tumor microenvironment and the ecological niches. The analysis of papers published in major journals since 2021 showed that "transcription," "inhibition," and "chemoresistance" emerged as new focused issues. In general, the research focus has gradually shifted from basic biology to clinical transformation. "Tumor microenvironment" and "chemo-resistance" should be given more attention in the future.

The Evolution Mechanism of Correctness for Cyber-Physical System

Cyber-physical Systems (CPS) are widely used in all areas of life. Ensuring the correctness of CPS remains an enduring challenge during its development and design phases. One approach to ascertain the correctness of CPS is behavior equivalence based on bisimulation. However, whether the implementation development process develops in the right direction has an important impact on obtaining the correct system implementation. Especially, the development process of complex CPS often yields a multitude of implementation versions, the correlation among these versions partly signifies the correctness of the development process. This paper formalizes the relationship between the implementation versions and establishes a formal description of the development process progressing in the correct direction, leveraging the concept of a “limit idea.” Initially, we introduce the concept of “limit bisimulation” for CPS systems to delineate implementations acquired during the CPS development process. Specific limit bisimulations are demonstrated to represent distinct scenarios within the development process. Subsequently, the convergence mechanism of implementations is modeled through bisimulation limits, encapsulating the CPS’s specification as the ultimate goal of obtained implementations during the development process. Finally, the congruence property of the bisimulation limit is proved, which accounts for the relation between specification and implementation versions can be decomposed into a refinement hierarchy. The limit theorem of bisimulation in CPS can help the designer and developer of CPS to comprehend the development course better.

Face Recognition Attendance Monitoring System

The Face Recognition Attendance Management System is a cutting-edge technology solution designed to streamline and enhance the attendance tracking process in various institutions and organizations. This project report provides a concise overview of the system's key features, development process, and its potential impact on attendance management. In a rapidly evolving technological landscape, traditional attendance systems are often inefficient and prone to errors. The Face Recognition Attendance Management System addresses these issues by leveraging state-of-the-art facial recognition technology. This system automates attendance tracking, ensuring accuracy and efficiency while reducing the administrative burden on staff. Key features of the system include facial data capture and storage, real-time face recognition, attendance record generation, and user-friendly interfaces for both administrators and end-users. The project also encompasses the development of a mobile application, enabling users to access their attendance records conveniently. The development process involved the integration of facial recognition algorithms, database management, and user interface design. Additionally, privacy and security considerations were a top priority, with safeguards in place to protect the stored facial data. This report outlines the benefits of the Face Recognition Attendance Management System, such as reduced administrative workload, improved accuracy, and real-time monitoring of attendance. It also discusses potential challenges, including hardware and software requirements, scalability, and user acceptance. In conclusion, the Face Recognition Attendance Management System is a powerful tool for institutions and organizations seeking to modernize their attendance tracking processes. It represents a step forward in leveraging cutting-edge technology to enhance efficiency and accuracy in attendance management

The Disabled Community Empowerment Model with Social Entrepreneurship Approach to Tenoon Business

The idea of community-oriented resource management (local resource management) is a development management figure that tries to answer development challenges like poverty, environmental degradation, and the lack of community participation in the development process that concerns them. This research aims to build an inclusive community empowerment model through a social entrepreneurship approach in the creative economy sector. This study uses a qualitative descriptive method which includes data collection through observation, interviews, and documentation using key and additional information. Data analysis techniques used are data collection, data reduction, data presentation and conclusion.The results of the study show that the model of empowering people with disabilities with a social entrepreneurship approach in tenoon businesses is based on the strengths and capabilities of people with disabilities so that through empowerment with a social entrepreneurship approach in the creative economy sector it can produce self-recognition, self-confidence and self-reliance that can support person, power and profit on strengthening the next empowerment.