Development Process Research Articles

Low-Level Auditory Processing Correlates With Language Abilities: An ERP Study Investigating Sequence Learning and Auditory Processing in School-Aged Children

Abstract Auditory processing and procedural learning deficits have been associated with language learning difficulties. We investigated the relationship of these skills and school-age language abilities in children with and without a history of late talking using auditory event related potentials (ERPs). Late talking (i.e., slow early language development) increases the risk of persistent language difficulties, but its causes remain unknown. Participants in this study were children with varying language abilities (n = 60). Half of the participants (n = 30) had a history of late talking. We measured procedural learning by manipulating the predictability of sine tone stimuli in a passive auditory ERP paradigm. Auditory processing was tested by examining how the presence of noise (increasing perceptual demands) affected the ERPs. Contrary to our hypotheses on auditory processing and language development, the effect of noise on ERPs did not correlate with school-age language abilities in children with or without a history of late talking. Our paradigm failed to reveal interpretable effects of predictability leaving us unable to assess the effects of procedural learning. However, better language abilities were related to weaker responses in a 75–175 ms time window, and stronger responses in a 150–250 ms time window. We suggest that the weak early responses in children with better language ability reflect efficient processing of low-level auditory information, allowing deeper processing of later, high-level auditory information. We assume that these differences reflect variation in brain maturation between individuals with varying language abilities.

NONLINEAR DYNAMICS METHODS APPLICATIONS TO PRODUCT LIFECYCLE MANAGEMENT

The research being carried out is aimed at applying nonlinear dynamics methods in product life cycle management to improve communication between processes and achieve environmental sustainability. The purpose of the article is to create a nonlinear mathematical model for analysing product lifecycle management. Chaotic nonlinear dynamical processes of product lifecycle are deterministic but have the property that even small uncertainties in initial conditions lead to exponentially growing errors in the management that limit long-term forecasts. The emergence of chaotic behaviour in processes of product lifecycle was explored, focusing on fluctuations. The study employed methods such as systems analysis, correlation analysis, nonlinear dynamics, and the Surrogate model of chaotic Lorenz waterwheel. It was identified that sharp technological innovations as the primary drivers of short-term fluctuations impacting fixed efficiency and effectiveness of product life cycle process development. The resulting nonlinear dynamic model allowed for flexible operation, transitioning between equilibrium, periodic, and chaotic states based on coefficient values for asset growth rates and time constants reflecting product life cycle process dynamics. The research results are valuable for companies seeking to reduce their environmental impact and implement circular economy principles.

A New Optimized Hybridization Approach for in silico High Throughput Molecular Docking on FPGA Platform.

The development process of a new drug should be a subject of continuous evolution and rapid improvement as drugs are essential to treat a wide range of diseases of which many are life-threatening. The advances in technology resulted in a novel track in drug discovery and development known as in silico drug design. The molecular docking phase plays a vital role in in silico drug development process. In this phase, thousands of 3D conformations of both the ligand and receptor are generated and the best conformations that create the most stable drug-receptor complex are determined. The speed in finding accurate and high-quality complexes depends on the efficiency of the search function in the molecular docking procedure. The objective of this research is to propose and implement a novel hybrid approach called hABCDE to replace the EMC searching part inside the BUDE docking algorithm. This helps in reaching the best solution in a much accelerated time and higher solution quality compared to using the ABC and DE algorithms separately. In this work, we have employed a new approach of hybridization between the Artificial Bee Colony (ABC) algorithm and the Differential Evolution (DE) algorithm as an alternative searching part of the Bristol University Docking Engine (BUDE) in order to accelerate the search for higher quality solutions. Moreover, the proposed docking approach was implemented on Field Programmable Gate Array (FPGA) parallel platform using Vivado High-Level Synthesis Tool (HLST) in order to optimize and enhance the execution time and overall efficiency. The NDM-1 protein was used as a model receptor in our experiments to demonstrate the efficiency of our approach. The NDM-1 protein was used as a model receptor in our experiments to demonstrate the efficiency of our approach. The results showed that the execution time for the BUDE with the new proposed hybridization approach was improved by 9,236 times. Our novel approach was significantly effective to improve the functionality of docking algorithms (Bristol University Docking Engine (BUDE)).

Mechanochemical and Microwave Multistep Organic Reactions

Abstract: The development of more sustainable chemical reactions and processes has been the focus of recent research activities. Advances in the field of organic synthesis have led to the emergence of new methodologies and techniques involving non-conventional energy sources. These include the applications of mechanical energy (mechanochemistry) and microwave radiation (MW) methods. This article reviews the advances in multistep organic synthesis of biologically relevant organic molecules using mechanochemistry and microwave techniques. Among them, various heterocyclic molecules (with nitrogen, oxygen, and sulphur atoms), amides, and peptides have been synthesized by multistep mechanochemical or MW reactions. Performing multiple synthetic steps using more sustainable methods shows cumulative advantages over multistep processes under conventional conditions in terms of reduced solvent use, shorter reaction times, better turnovers, and reaction yields. Simplification of protocols by carrying out two or more reaction steps in the same reaction vessel is another advantage of multistep syntheses.

Improving access to gene therapy for rare diseases.

Effective gene therapy approaches have been developed for many rare diseases, including inborn errors of immunity and metabolism, haemoglobinopathies and inherited blindness. Despite successful pre-clinical and clinical results, these gene therapies are not widely available, primarily for non-medical reasons. Lack of commercial interest in therapies for ultra-rare diseases, costs of development and complex manufacturing processes required for advanced therapy medicinal products (ATMPs) are some of the main problems that are restricting access. The complexities and costs of navigating the regulatory environments in different jurisdictions for treatments that affect small numbers of patients is a problem unique to ATMPS for rare and ultra-rare diseases. In this Perspective, we outline some of the challenges and potential solutions that, we hope, will improve access to gene therapy for rare diseases.

Development and Challenges of Cyclic Peptides for Immunomodulation.

Cyclic peptides are polypeptide chains formed by cyclic sequences of amide bonds between protein-derived or non-protein-derived amino acids. Compared to linear peptides, cyclic peptides offer several unique advantages, such as increased stability, stronger affinity, improved selectivity, and reduced toxicity. Cyclic peptide has been proved to have a promising application prospect in the medical field. In addition, this paper mainly describes that cyclic peptides play an important role in anti-cancer, anti-inflammatory, anti-virus, treatment of multiple sclerosis and membranous nephropathy through immunomodulation. In order to know more useful information about cyclic peptides in clinical research and drug application, this paper also summarizes cyclic peptides currently in the clinical trial stage and cyclic peptide drugs approved for marketing in the recent five years. Cyclic peptides have many advantages and great potential in treating various diseases, but there are still many challenges to be solved in the development process of cyclic peptides.

A novel framework for analyzing internet of things datasets for machine learning and deep learning-based intrusion detection systems

To generate a machine learning (ML) and deep learning (DL) architecture with good performance, we need a decent dataset for the training and testing phases of the development process. Starting with the knowledge discovery and data mining (KDD) Cup 99 dataset, numerous datasets have been produced since 1998 to be utilized in the ML and DL-based intrusion detection systems (IDS) training and testing process. Because there are so many datasets accessible, it might be challenging for researchers to choose which dataset to employ. Therefore, a framework for evaluating dataset appropriateness with the research to be conducted is becoming increasingly crucial as new datasets are regularly created. Additionally, given the growing popularity of internet of things (IoT) devices and an increasing number of specific datasets for IoT in recent years, it is essential to have a specific framework for IoT datasets. Therefore, this research aims to develop a new framework for evaluating IoT datasets for ML and DL-based IDS. The study's findings include, first, a novel framework for assessing IoT datasets, second, a comparison of this novel framework to other existing frameworks, and third, an analysis of five IoT datasets by using the new framework.

Integrating green computing into rational unified process for sustainable development goals: a comprehensive approach

This research explores the incorporation of green computing variables into the rational unified process (RUP) methodology, specifically focusing on sustainable development goal (SDGs) 12-responsible consumption and production. Supported by three additional papers using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. Our study aims to promote eco-friendly software development practices and tools (artifacts) aligned with green computing principles to support SDGs throughout RUP development phases. We conducted a matrix thorough analysis of existing green computing adaptability within RUP, yielding key findings: a system charter for inception, system requirement specification for elaboration, software development result for construction, and software test report/user acceptance test for transition. As a result, we've compiled comprehensive phase-specific documents, emphasizing the need for educational initiatives to foster green computing adoption among developers. This study advocates for cross-disciplinary collaboration to ensure successful implementation of eco-friendly software development processes.

Theoretical model and parameter sensitivity analysis of the filter cake formation during slurry shield tunnelling

The filter cake formation during slurry shield tunneling in high permeability soil layers is complex and difficult to monitor. There is no reliable method to evaluate the mechanical characteristics during the filter cake formation. A theoretical model is proposed to describe the filter cake formation and development in this study. The finite difference method is used to simulate the whole filter cake formation process. In addition, the influence of the key bentonite slurry parameters and of the deep infiltration on the filter cake formation is investigated based on the proposed model. The results show that the excess pore water pressure within the filter cake is not uniformly distributed. The slurry support effect is manifested by a pressure drop generated on both sides of the filter cake. The development process of the filter cake can be summarized into three stages: prior infiltration filling of the filter cake, accumulation and thickening of the new filter cake, and compression and consolidation of the prior filter cake. The slurry deep infiltration results reflected by the membrane specific resistance have the most significant effect on the filter cake development. Compared with the slurry concentration, the viscosity has a greater influence on the formation and final thickness of the filter cake.

In Silico Pharmacokinetics, Molecular Docking and Molecular Dynamics Simulation Studies of Nucleoside Analogs for Drug Discovery- A Mini Review.

Nucleoside analogs have been widely used as antiviral, antitumor, and antiparasitic agents due to their ability to inhibit nucleic acid synthesis. Adenosine, cytidine, guanosine, thymidine and uridine analogs such as didanosine, vidarabine, remdesivir, gemcitabine, lamivudine, acyclovir, abacavir, zidovusine, stavudine, and idoxuridine showed remarkable anticancer and antiviral activities. In our previously published articles, our main intention was to develop newer generation nucleoside analogs with acylation-induced modification of the hydroxyl group and showcase their biological potencies. In the process of developing nucleoside analogs, in silico studies play an important role and provide a scientific background for biological data. Molecular interactions between drugs and receptors followed by assessment of their stability in physiological environments, help to optimize the drug development process and minimize the burden of unwanted synthesis. Computational approaches, such as DFT, FMO, MEP, ADMET prediction, PASS prediction, POM analysis, molecular docking, and molecular dynamics simulation, are the most popular tools to culminate all preclinical study data and deliver a molecule with maximum bioactivity and minimum toxicity. Although clinical drug trials are crucial for providing dosage recommendations, they can only indirectly provide mechanistic information through researchers for pathological, physiological, and pharmacological determinants. As a result, in silico approaches are increasingly used in drug discovery and development to provide mechanistic information of clinical value. This article portrays the current status of these methods and highlights some remarkable contributions to the development of nucleoside analogs with optimized bioactivity.

Создание нового порта: фактор влияния на развитие транспортной логистики региона

The process of formation, construction and development of a new international port on a section of the river bank received from another country, which has direct access to the sea, is considered. The analysis of the advantageous location and favorable conditions for the creation of the port, including the conditions for entry into the port of sea and river vessels, the availability and accessibility of road, rail and air transport, is carried out. The created structure of the port is illustrated, as well as brief characteristics, capabilities and features of various port terminals for cargo transshipment and passenger transportation are considered. The organizational and technological experience in creating a logistics hub in the region was studied, taking into account the needs of producers, recipients and the characteristics of transport carriers, including the features of asset management. The analysis of indicators of the volume of transshipment of various cargoes was carried out, the main directions of the port's development in the near future were determined. In the process of studying the experience of creating port infrastructure, the created conditions for business development and investment attraction, the peculiarities of the tax and customs regime, as well as the distinctive features of the port's free economic zone from other similar territories are considered. Calculations of the availability of human resources in the port area and their attractiveness for transport companies are given. The process of development of the merchant fleet of the Republic of Moldova is analyzed, and the role of port infrastructure and transport logistics in the development of maritime activities of the state and the region as a whole is shown. A comparative analysis of the development of similar ports in the region was carried out according to the main indicators. Conclusions are drawn about the impact of the intensity of development of ports and transport logistics in the region on strengthening the state’s maritime potential, its infrastructure and trade.

Blood Link

Abstract: In the face of medical emergencies, the rapid and reliable delivery of blood to hospitals can be a matter of life and death. This project presents "BloodLink," a comprehensive solution that leverages modern web technologies and drone delivery systems to streamline the blood supply chain between blood banks and hospitals. The front-end of the system is developed using HTML, CSS, and JavaScript, ensuring a user-friendly interface for hospital staff to post blood group requirements. The backend is powered by the Flask framework of Python, facilitating robust and scalable server-side operations. Utilizing the Google Maps API, our platform dynamically identifies and displays the nearest blood banks in response to hospital requests, ensuring timely and accurate information. For critical situations requiring immediate action, we have integrated an innovative drone delivery system designed to expedite the transportation of blood to the requesting hospitals. The software development phase of the project is complete, and efforts are currently focused on the practical design and implementation of the drone system. This paper details the architecture, development process, and potential impact of "BloodLink" in revolutionizing emergency blood delivery and hospital blood bank coordination.

Child Missing with Surveillance Analysis with Multi Phase Extraction Face Monitoring

Abstract: Visual Surveillance has been placed in everywhere for any incidents identification. With the wide developments missing child identification with the computer vision system is the main focus. The implementation carried out with face based detection with rapid advance digital connectivity. Face recognition plays as a major developmental process where the concern person can be identified with face based identification system. Machine learning with artificial intelligence plays a vital role in facial detection and recognition. The paper proposes Haar Cascade on feature extraction from facial points and Hybrid Recurrent Neural System(HRNN) with Long Short Term Memory(LSTM) algorithm, on multi face recognition over public crowded area. Missing child images will be pre- trained in a database where the face matching templates will be provided. On matching the database labeled points with the feature point an E-mail or SMS based alert system can be generated on notification to the authority with cam points. Thus the development carried will give best accuracy solution on finding out from multiple face regions. Mainly identification of the missing child over the road side areas will be done with computer vision frame targeting system.

Preperation of Sambhar Premix

Abstract: A sambhar premix is a convenient blend of dry spices and lentils essential for preparing the popular South Indian dish, sambhar. Comprising roasted and ground ingredients like lentils (toor dal, masoor dal), spices (coriander, cumin, fenugreek, mustard seeds), dried red chilies, and aromatics (turmeric, asafetida, curry leaves); this premix offers a quick solution to recreate the flavorsome and aromatic sambhar. When stored in an airtight container, this premix maintains its freshness, making it a time-saving and versatile addition to various culinary creations. masala development process would highlight the key steps and considerations in creating this traditional South Indian spice blend. It would cover aspects suchas ingredient selection, proportioning, grinding techniques, and the preservation methods employed. Additionally, the abstract might touch upon the cultural significance of masala and its role in enhancing the flavor profile of the iconic dish. This abstract delves into the historical evolution of masala, exploring its traditional ingredients and tracing the development of a premix. The document outlines the meticulous method of preparation for the premix, emphasizing key steps such as ingredient selection, proportioning, and grinding techniques. Additionally, it includes a comprehensive cost analysis of the production process. Proximate testing is employed to evaluate the nutritional composition of the masala, shedding light on itsdietary implications. This abstract aims to provide a holistic overview of the masala development process, combining historical context, preparation methodology, cost considerations, and nutritional insights. This detailed abstract explores the rich history, intricate ingredients, and methodical preparation of masala powder, with a focus on developing a premix. The historical analysis delves into the origins and evolution of the spice blend, highlighting the regional variations and cultural significance associated with its use in South Indian cuisine. The document provides a comprehensive overview of the ingredients, emphasizing the selection of authentic spices crucial to achieving the distinctive flavor profile. The method of preparation for the premix is detailed, encompassing precise measurements, grinding techniques, and the blending process to ensure consistency and optimal flavor infusion. A meticulous cost analysis is presented, covering raw materials, processing expenses,and packaging costs, offering insights into the economic feasibility of producing masala on a larger scale. Furthermore, proximate testing is employed to assess the nutritional composition, detailingthe macronutrient and micronutrient content, contributing to a comprehensive understanding of the spice blend's dietary implications. This abstract aims to serve as a comprehensive reference, encapsulating the historical, culinary, economic, and nutritional dimensions of masala powder and its premix variant.

Local Talent Meets Business - The Ethical Way (THRIFT)

Abstract: THRIFT is a novel web application designed to address the challenge of accessing affordable and reliable home wizard services in local areas. The platform serves as a bridge between homeowners seeking various home maintenance and repair services and skilled service providers offering their expertise at competitive rates. In this research paper, we present the development process and outcomes of THRIFT, emphasizing its role in improving accessibility and affordability of home wizard services. The project begins with a comprehensive analysis of the existing literature, highlighting the prevalent issues faced by homeowners in finding affordable home services.

Enhancing Smart Contact through Java Spring Boot Integration

Abstract: In the rapidly evolving landscape of digital interaction, effective contact management systems are pivotal for both personal and professional endeavors. This paper explores the integration of Java Spring Boot framework to enhance the efficiency and functionality of smart contact management systems. Leveraging the robust features of Spring Boot, developers can streamline the development process, improve scalability, and ensure seamless deployment. Through a comprehensive analysis, this research elucidates the design, implementation, and benefits of integrating Spring Boot in the development of smart contact management systems, promising a transformative approach to contact organization and accessibility.

Technical-technology aspect and financial analysis of sweet potato (Ipomoea batatas L) flour processing agroindustry in Lampung province

Lampung Province is one of the Sumatra archipelago's fifth sweet potato-producing provinces. To provide added value and encourage the growth of agro-industry in Lampung Province, the development of sweet potato flour processing is needed. This study aims to determine the business feasibility of sweet potato flour in Lampung Province from raw materials, technical technology, and financial aspects. The research involved agencies and related institutions in Lampung Province and Lampung Tengah Regency. The research method used was a survey and interview method. The data obtained were analyzed in stages using the Exponential Comparison Method (ECM) and business feasibility analysis. The finding showed that the SP flour agro-industry is feasible to be established with a capacity of 4 tons of fresh SP as raw material in Way Pengubuan, Lampung Tengah District, Lampung Province. The project needs an initial investment capital of 3.36 billion and an annual operational capital of 14.44 billion. The project is projected to yield an NPV value of IDR. 1,320,768,285 over a 10-year business projection period, with an IRR of 21%, Net B/C of 1.11, and a PBP of 4 years and 17 days.

Enhancing registration systems: Implementing database systems in digital boarding schools

Islamic boarding schools, known as pondok pesantren are specialized schools for Islamic education in Indonesia. With the community's increasing interest in religious education, some pesantren have begun to offer online learning opportunities. Pondok Pesantren Bayt Tamyiz is a Islamic boarding school that has started developing online pesantren education under the name Tamyiz Digittren. This program aims to enhance understanding and translation of the Qur'an using the Tamyiz method. The pondok pesantren requires significant changes in its administrative systems, including the registration process. Information system development is often challenging for the pesantren staffs and software developers. One of the fundamental difficulties lies in the user requirement process. Typically, pesantren need help to provide the information system they need. Such difficulties hinder the development process as developers must conduct numerous experiments. This research aims to design and implement a suitable database for the new student registration system with minimal information and limited time development. The research follows a database development method divided into three stages: Requirement Collection and Analysis, Conceptual Database Design, and Logical Database Design. Database development utilizes MySQL as the Database Management System (DBMS) and PHP as the programming language. This research results in a database design capable of storing and managing student data, payments, and other registration information. We expect the results of this database development to be effective in supporting the registration system and in the future development of information systems at Pondok Pesantren Bayt Tamyiz.

How consistent are the key recommendations, and what is the quality of guidelines and expert consensus regarding paediatric cow's milk protein allergy?

The objective of this study was to assess the quality and consistency of recommendations in clinical practice guidelines (CPGs) and expert consensus on paediatric cow's milk protein allergy (CMPA) to serve as a foundation for future revisions and enhancements of clinical guidelines and consensus documents. We conducted a comprehensive literature search across several databases, including the Chinese Biomedical Literature Database (CBM), PubMed, Embase, Web of Science, UpToDate, ClinicalKey, DynaMed Plus and BMJ Best Practice. We spanned the search period from the inception of each database through October 1, 2023. We integrated subject headings (MeSH/Emtree) and keywords into the search strategy, used the search methodologies of existing literature and developed it in collaboration with a librarian. Two trained researchers independently conducted the literature screening and data extraction. We evaluated methodological quality and recommendations by using the Appraisal of Guidelines for Research & Evaluation II (AGREE II) and AGREE-Recommendations for Excellence (AGREE-REX) tools. Moreover, we compared and summarized key recommendations from high-quality CPGs. Our study included 27 CPGs and expert consensus documents on CMPA. Only four CPGs (14.8%) achieved a high-quality AGREE II rating. The four high-quality CPGs consistently provided recommendations for CMPA. The highest scoring domains for AGREE II were 'scope and purpose' (77 ± 12%) and 'clarity of presentation' (75 ± 22%). The lowest scoring domains were 'stakeholder involvement' (49 ± 21%), 'rigor of development' (34 ± 20%) and 'applicability' (12 ± 20%). Evaluation with AGREE-REX generally demonstrated low scores across its domains. Conclusion: Recommendations within high-quality CPGs for the paediatric CMPA showed fundamental consistency. Nevertheless, the methodology and recommendation content of CPGs and the expert consensus exhibited low quality, thus indicating a substantial scope for enhancement. Guideline developers should rigorously follow the AGREE II and AGREE-REX standards in creating CPGs or expert consensuses to guarantee their clinical efficacy in managing paediatric CMPA. What is Known: • The quality of clinical practice guidelines and expert consensus on paediatric cow's milk protein allergy (CMPA) remains uncertain. • There is a lack of clarity regarding the consistency of crucial recommendations for CMPA management. What is New: • Improving the methodological quality of guidelines and consensus on CMPA requires greater emphasis on stakeholder engagement, rigorous development processes, and practical applicability. • The recommendations from four high-quality guidelines align. However, addressing clinical applicability, integrating values and preferences, and ensuring actionable implementation are critical to improving the quality of all guidelines.

Tensile analysis of loop joints with different overlap lengths

ABSTRACT In order to achieve rapid bridge construction, on-site wet joint joining techniques for prefabricated bridge decks are commonly used. The primary method involves mainly lap welding, but this form poses some drawbacks such as difficult lap jointing of two steel bars and a hefty welding workload. To address these issues, this study conducts model experiments on the unwelded structure of loop joints. We compare and analyze the displacement, crack distribution, crack development process, and strain variability of loop joints across three different overlap lengths, along with one type of straight bar lap-welded wet joints. It is observed that, despite the comparable ultimate tensile capacity of loop joints with the main rib to that of the welded wet joint with the main rib, the failure mode varies, and the crack direction changes with the overlap length. From a structural stress perspective, if the U-bar of the loop joint meets a specific overlap length, the wet joint adequately fulfills stress requirements and can be applied in practical engineering.