Potential Areas For Development Research Articles

Multimodal sentiment recognition: A comprehensive review of analysis techniques, applications, and challenges

This article offers a comprehensive review of multimodal emotion recognition. Initially, we provide a succinct overview of human emotions by delving into various emotion models. The focus then shifts to the representation of emotions through unimodal data sources, illustrating how these singular channels capture emotional cues. As we progress, the article underscores the advancements in multimodal fusion techniques that amalgamate multiple data sources for more accurate emotion detection. Three predominant architectures for multimodal fusion are then detailed, each showcasing its unique approach and benefits. Despite the leaps and bounds made in this field, several challenges persist. The latter section of this review highlights these lingering issues in multimodal emotion recognition, hinting at potential areas for further research and development. By weaving together the intricacies of emotion models, unimodal representations, fusion techniques, and existing challenges, this paper seeks to provide readers with a holistic understanding of the current landscape of multimodal emotion recognition.

Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review

Pyrolysis, a process for extracting valuable chemicals from waste materials, leverages computational fluid dynamics (CFD) to optimize reactor parameters, thereby enhancing product quality and process efficiency. This review aims to understand the application of CFD in pyrolysis. Initially, the need for pyrolysis and its role in biomass valorization are discussed, and this is followed by an elaboration of the fundamentals of CFD studies in terms of their application to the pyrolysis process. The various CFD simulations and models used to understand product formation are also explained. Pyrolysis is conducted using both conventional and microwave-assisted pyrolysis platforms. Hence, the reaction kinetics, governing model equations, and laws are discussed in the conventional pyrolysis section. In the microwave-assisted pyrolysis section, the importance of wavelength, penetration depth, and microwave conversion efficiencies on the CFD are discussed. This review provides valuable insights to academic researchers on the application of CFD in pyrolysis systems. The modeling of pyrolysis by computational fluid dynamics (CFD) is a complex process due to the implementation of multiple reaction kinetics and physics, high computational cost, and reactor design. These challenges in the modeling of the pyrolysis process are discussed in this paper. Significant solutions that have been used to overcome the challenges are also provided with potential areas of research and development in the future of CFD in pyrolysis.

Nauczyciel jako artysta: perspektywy roli i cech nauczyciela jako artysty w dobie zmian i niestabilności

This article aims to provide new viewpoints on the role of the teacher by combining epistemological and artistic perspectives on education. In the age embossed by change and instability, the teacher must build a role that facilitates the development of resilient and independent pupils. A point of emphasis in the article is to renegotiate the view of knowledge and how knowledge can be attained. The “abyssal thinking” of Western modernity, which is heavily reliant on abstract intellectual thinking, is imbedded in the current educational system, which causes profound challenges in the encounter between individuals and education. These challenges come to expression in increasing mental illness and pedagogical challenges in schools and classrooms, as more pupils cannot cope with current demands and expectations. To address these complex challenges, the teacher needs new conceptual and practical tools to provide an education that can accommodate the entirety of human existence and potential. This is where artistic perspectives and approaches can prove highly potent and beneficial for further development of education. The article utilizes perspectives on education from Pestalozzi, Steiner, Freire, and Biesta. The educational dimensions are discussed in light of epistemological theories from Buber and Heron, which is expanded by the relation between art and freedom as formulated by Arendt, Tolle, Klein and Csikszentmihalyi. The complexity of society is likely to increase even further, and hence pupils will need new and more profound tools. These tools are necessary not only to tackle life, but to become resilient and independent creators of it. The article aims to point out areas of potential development, that can provide pupils with necessary emotional and existential support and means of expression.

Biodiversity study of the deep-sea ecosystems in the northwestern part of the Pacific Ocean

The aim of the work was to study some deep-sea bottom communities of the Far Eastern seas of Russia using a remotely operated underwater vehicle.Materials were the data of underwater video and photo profiling, as well as direct sampling, performed in 2011–2013, 2016, 2018, 2020 and 2021.As results, an extensive array of new data on the composition, structure, and patterns of distribution of deep sea biota has been obtained. A primary description of the benthic communities of the Gamovsky Canyon (Sea of Japan), cold seeps of the Deryugin Basin (Sea of Okhotsk), and Piip underwater volcano (Bering Sea) has been prepared. Some features of the composition and structure of communities are revealed, and vertical zonality is described.Practical value: the results can be used in the development of environmental protection measures and measures of rational nature management in the waters of the Far Eastern seas of Russia and in areas of potential development of deep-sea mineral resources in the ocean.

Enhancing Decision-Making for Sustainable Agriculture and Tourism Development through System Dynamics and GIS Integration: A Study of Jenawi District

As one of the districts that have an important role for Karanganyar Regency in agriculture and tourism, Jenawi District is a producer of 18 out of the 22 agricultural commodities in Karanganyar Regency, Indonesia. In addition, Jenawi District also has various natural tourism objects such as caves, valleys, waterfalls, springs, and other tourism objects. However, the potential of agriculture and tourism has not been able to improve community welfare because there is no policy to encourage the agricultural and tourism sectors in Jenawi District. Therefore, this study aims to formulate alternative policy models in the agriculture and tourism sectors in Jenawi District. This research uses quantitative research methods using primary and secondary data types, where the data collection techniques used are observation, interviews, FGDs, literature reviews, and GIS analysis. GIS analysis enabled spatial data integration and visualization, facilitating the identification of patterns, relationships, and potential areas for agriculture and tourism development. The analysis method used is a dynamic system method that uses the causal loop diagram analysis technique. The analysis results found that the dynamic system model in Jenawi District that has been designed is able to work properly with high accuracy levels. There are differences between with and without policies, especially in the incentives used, which have significant differences. With the implementation of policies in Jenawi District, there is a difference in income results in the agricultural sector reaching 20%-27%, and in the tourism sector reaching 80%.

VERY LOW FREQUENCY ELECTROMAGNETIC (VLF-EM) SURVEY FOR GROUNDWATER DEVELOPMENT IN BICHI/BAGWAI AREA, NORTH WESTERN NIGERIA

Abstarct
 Detailed Very Low Frequency Electromagnetic (VLF-EM) hydrogeophysical survey was undertaken to identify conductive zones and recommend potential areas for possible groundwater development in the Bichi area of Kano state northwestern Nigeria. Geologically, the area is characterized by porphyritic granite, coarse grained granite and medium to fine grained granite. The VLF-Electromagnetic method was adopted as a fast reconnaissance tool to map possible linear fractures. During the survey, measurements were taken at a station interval of 20 m along each profile line ranging from 0 – 420 m, making a total of six VLF-EM traverses which were mapped in the study area. The filtered components for both real and imaginary parts of the VLF-EM data were plotted against distance for each profile using the Karous–Hjelt filter® computer software to interpret and identify the top of linear fractures. The Very Low frequency (VLF) normal and filtered component anomalies identified ten (10) major geological interfaces suspected to be faults/fractured zones (f1 – f10). These suspected zones were marked as targets for future groundwater development in the area since these anomalous zones are areas of high conductivity and this parameter is one of the physical characteristics of water saturated zones. Therefore, this work has proven that VLF method is robust in tying down good locations for groundwater development in rural areas.
 Keywords: Electromagnetic, Hydrogeophysical, Groundwater Development, Conductive Zones, Fault, Fractures.

Kinetics and Timescales in Bio–Nano Interactions

Engineered nanoparticles (NPs) have the potential to revolutionize disease diagnostics and treatment. However, NP interactions with proteins in biological fluids complicate their in vivo control. These interactions often lead to the formation of protein coronas around the NP surface, shaping NP fate and behavior within biological systems. To harness the full potential of NPs in biomedical applications, it is therefore essential to gain a comprehensive understanding of their interactions with proteins. Within this context, it must be recognized that traditional equilibrium-based descriptions of NP–protein interactions, which encompass parameters like equilibrium binding affinity and corona composition, do not provide sufficient detail to predict NP behavior in vivo. This limitation arises because the open in vivo system is a nonequilibrium state characterized by constantly changing concentrations and dynamic regulation of biological processes. In light of these considerations, this review explores the kinetics and timescales of NP–protein interactions, discussing their relevance, fundamental concepts, measurement techniques, typical ranges of association and dissociation rate constants, and dynamics of protein corona formation and dissociation. The review concludes by outlining potential areas for further research and development in this field.

Personal Benefits Impact the Support for Agritourism Development Among the Local Community: The Mediating Role of Community Satisfaction and Quality of Life

Objective: This study aims to demonstrate the influence of personal benefits on the support for the development of agritourism among the local community through the mediating role of community satisfaction and quality of life. Method: To test the research hypotheses, quantitative analysis methods are used, including reliability testing of the scales using Cronbach’s alpha coefficient, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). Data for the study were collected from a survey of 212 individuals residing in potential agritourism development areas in the Mekong Delta region, Vietnam. Results: The study results show that personal benefits have a positive impact on the support for the development of agritourism among the local community. Additionally, the study reveals that personal benefits also positively influence community satisfaction and quality of life. Simultaneously, community satisfaction and quality of life are crucial factors driving the support for the development of agritourism among the local community in the Mekong Delta region, Vietnam. Conclusions: Community support is a crucial factor for the success and development of a tourism destination, similar to the existence of a mutualistic relationship between community support and tourism development. The research findings provide a scientific basis for suggesting key policy implications to promote community support for agritourism development in the Mekong Delta region (Vietnam).

Exploring the Transport Infrastructure Sustainability Performance: An Investigation of the Transportation Projects in Saudi Arabia

In the Saudi Arabian construction projects, the transport infrastructure sustainability assessment has become a priority in recent years. The purpose of this research is to assess the sustainability performance of transport infrastructure projects in Saudi Arabia. It specifically seeks to assess the effects of these initiatives on the environment, society, and economy, while highlighting their advantages and disadvantages as well as potential areas for development. A key objective of this evaluation is to provide thoughtful analysis and suggestions for improving Saudi Arabia’s transportation infrastructure development. The study was conducted using a Likert-scale questionnaire survey among 197 professionals in Saudi Arabia. The Cronbach’s alpha test was conducted to assess the validity of the survey. Moreover, statistical analysis using SPSS software 25 was used along with the Spearman correlation test to evaluate the respondent behavior of the survey. The investigation serves as a foundation for devising strategies and policies to promote sustainable transportation practices in Saudi Arabia. The study’s insights can guide effective planning and regulations that prioritize sustainability, environmental preservation, and public support. By focusing on these outcomes, transportation networks can be improved, environmental impacts reduced, construction methods enhanced, and safety ensured for workers and the public. A durable, effective, and environmentally conscious transportation infrastructure for Saudi Arabia’s present and future generations could be achieved by embracing sustainable transportation infrastructure and giving priority to the determined results.

Variations in Mentorship Across Grade Levels and Career Stages Among Public Management Professionals

Mentoring is important to career development and employee morale of public sector employees, but little is known about how employee mentoring needs change over the course of one’s career or at different job classification levels. An online survey about the mentoring needs of 251 aquatic professionals in the USDA Forest Service was conducted in 2019. Quantitative data were analyzed across three federal employee grade levels and four career stages. This study found that grade levels influenced the type of skills employees seek to develop and the attributes associated with successful mentoring. Employees in lower grade positions believed that mentoring would help them to achieve a faster promotion or prepare them for a new position, but they also had less access to mentors and received the least encouragement from their supervisors to seek mentoring. Employees at all career stages believed that mentoring was valuable to their professional growth, while middle- and late-career employees received less encouragement from their supervisor to seek a mentor. Differences in mentorship needs, access, importance, and structures across career stages and grade levels suggest potential areas of future development or intervention to expand the benefits of mentoring to all employees.

Knowledge Graphs and Their Applications in Drug Discovery.

Knowledge graphs represent information in the form of entities and relationships between those entities. Such a representation has multiple potential applications in drug discovery, including democratizing access to biomedical data, contextualizing or visualizing that data, and generating novel insights through the application of machine learning approaches. Knowledge graphs put data into context and therefore offer the opportunity to generate explainable predictions, which is a key topic in contemporary artificial intelligence. In this chapter, we outline some of the factors that need to be considered when constructing biomedical knowledge graphs, examine recent advances in mining such systems to gain insights for drug discovery, and identify potential future areas for further development.

Robustness and Reliability Provided by Deterministic Packet Networks (TSN and DetNet)

Converged networks require new service protection functionalities to ensure reliable and robust communications. This paper provides insights into the evolution of deterministic communication and the importance of service protection in converged networks. We examine the per-packet-based replication/elimination service protection mechanism, ongoing standardization efforts, and potential areas for further development. We also explore the practical implementation of the service protection technique in real network scenarios, including its impact on operation and maintenance. The main contributions of the paper are: (1) new cloud-specific extensions to the service protection functionality, (2) introduction of redundancy domains to avoid replication/elimination-related failure propagation, (3) new service protection specific extensions to the network operation toolset, and (4) new diagnostic capabilities to monitor the healthiness of the service protection functionalities. Additionally, we evaluate the effectiveness and operation of newly proposed service protection extensions based on experimental results from a real 5G testbed.

ACCESSIBILITY AND CONNECTIVITY ANALYSIS IN THE GROWING RURAL AREA: A CASE STUDY OF REMBAU DISTRICT, NEGERI SEMBILAN

Rural areas are the ideal place to handle urban sprawl, whether for future administrative, college, manufacturing, residential, commercial, or for business growth. In the land development context, the shifting from rural into several areas such as agricultural into houses or subdividing real estate into commercial lots etc. were seen to be worth trying. However, this will succeed with the help of better road connectivity to the demanded area. This research is aimed to explore the road accessibility and connectivity and its function in supporting the growth of land development in Rembau, Negeri Sembilan. The research methodology produces maps of new potential growth development areas using GIS techniques. For data acquisition, there was a two-approach which is using the primary and secondary data. The primary data consist of the observation on the site, interview method with the experts and local people. Meanwhile, the secondary data is using the Landsat data from USGS to produce a land-use map for four consecutive years, base map and route connectivity data for GIS method, and statistical data from related agencies. The result of this research is to produce a new potential development map in Rembau, Negeri Sembilan. Remote sensing (RS) and Geographical Information System (GIS) allows the town planners to identify the potential rural spaces to cater the urban population.

HER2 Oncogene as Molecular Target in Uterine Serous Carcinoma and Uterine Carcinosarcoma.

Uterine serous carcinoma (USC) and uterine carcinosarcoma (UCS) are two rare histologic variants of uterine carcinoma, with distinct molecular profiles and aggressive metastatic potential. As the effectivity of traditional platinum-based chemotherapy for USC and UCS is low, and there are high rates of resistance and recurrence, the development of novel targeted therapeutics is needed. Human epidermal growth factor receptor 2 (HER2) has proven to be an oncogene of increasing interest in these cancers, as HER2 protein overexpression and/or c-ERBB2 gene amplification ranges from ~30 to 35% in USC, and between ~15 and 20% in UCS. This review summarizes the existing clinical and preclinical evidence, as well as ongoing clinical trials of HER2-targeting therapeutics, and identifies potential areas of further development and inquiry.

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subdomains within UAV research, newcomers may find themselves overwhelmed by the numerous options available. It is therefore crucial for those involved in UAV research to recognize its interdisciplinary nature and its connections with other disciplines. This paper presents a comprehensive overview of the UAV field, highlighting recent trends and advancements. Drawing on recent literature reviews and surveys, the review begins by classifying UAVs based on their flight characteristics. It then provides an overview of current research trends in UAVs, utilizing data from the Scopus database to quantify the number of scientific documents associated with each research direction and their interconnections. This paper also explores potential areas for further development in UAVs, including communication, artificial intelligence, remote sensing, miniaturization, swarming and cooperative control, and transformability. Additionally, it discusses the development of aircraft control, commonly used control techniques, and appropriate control algorithms in UAV research. Furthermore, this paper addresses the general hardware and software architecture of UAVs, their applications, and the key issues associated with them. It also provides an overview of current open source software and hardware projects in the UAV field. By presenting a comprehensive view of the UAV field, this paper aims to enhance our understanding of this rapidly evolving and highly interdisciplinary area of research.

The Hydrodynamic Model Application for Future Coastal Zone Development in Remote Area

Indonesia is an archipelago country with a wealth of marine resources. However, local communities have not optimally utilized the use of natural resources, including those in the coastal zone of Central Sulawesi, Indonesia. This research goal is to identify the potential coastal areas for future development in the coastal zones, such as grouper floating net cage (FNC) culture, seaweed cultivation, and tourism areas. Thus, it is intended to develop the methodology of the hydrodynamic models for decision support systems (DSS) within the analysis hierarchy process. There are a total of 25 parameters criteria to calculate the potential future coastal zone development, including physics, water quality, and zoning properties. This DSS can serve as the foundation for instruction, knowledge, and application in developing rural coastal regions. Because of its breadth, this research endeavor is still ongoing. After calibration and verification, the initial study of the potential area of approximately 98,000 ha indicates that the model meets the accuracy requirement within the range of the root mean square error of approximately 0.184. Then, the outcomes of the hydrodynamic model simulation in DSS can be used as essential information for maritime development at this location. The outcomes demonstrate that the best areas for grouper FNC cultivation, seaweed cultivation, along with marine tourism are 6,163 ha, 91,000 ha, and 9,024 ha, respectively. It is expected that this research will contribute to sustainable future coastal zone development in the vicinity of Central Sulawesi, Indonesia. Doi: 10.28991/CEJ-2023-09-08-02 Full Text: PDF

Prediction of Marine Thin Shale Gas Reservoir with Seismic Phase-Controlled Nonlinear Stochastic Inversion

Due to the complicated interference sources and low signal-to-noise ratio of seismic records, conventional seismic inversion methods are difficult to accurately identify shale gas reservoirs with a thickness of less than 10 m. This presents great challenges to shale gas exploration and development in China. Seismic phase-controlled nonlinear stochastic inversion (SPCNSI) is related to the heterogeneity of underground media. With the constraints of the stratigraphic sequence or seismic facies models, the minimum value between the seismic model and seismic record can be solved through iterative processes. Based on the solved acoustic velocity in formation, the constraints for SPCNSI can be formed with the matching relationship between target layers and different sequences in three-dimensional space. The prediction resolution of an unconventional reservoir can be effectively improved by combining logging, geological and seismic information. The method is suitable for predicting thin shale gas reservoirs in complex geological structures. In this study, SPCNSI was developed to predict the thin-layer marine shale gas reservoir in the southeast of Chongqing; the horizontal and vertical distribution characteristics were proven in the Longmaxi Formation and the Wufeng Formation; thin layers with a thickness of less than 7 m were also discovered. According to the results, three sets of potential development areas were determined by the inversion method, and the accuracy and reliability of the method were verified by logging and productivity testing.

Exploration and Characterization of Grain Morphology and Rice (caryopsis) Genotypes of Local Rice in Solok Regency, West Sumatra

South Solok Regency is one of the potential areas for rice development in West Sumatra Province. The local rice in South Solok Regency is a type of rice that can potentially be developed for germplasm conservation. One genetic resource that needs to be developed is abiotic and biotic resistance to conserve germplasm so that the local rice plants in South Solok can be maintained on certain lands. The first step that must be taken in conservation efforts is to find, identify and collect local rice genotypes in South Solok Regency. This study aimed to explore and characterize the morphology of local grain and rice in Solok Selatan Regency. This study used a survey method, and the exploration location was determined by purposive sampling. The survey results found 18 local South Solok rice genotypes from four sub-districts. The results of grain morphological characterization showed differences in quantitative properties (length, width, thickness, and weight of 100 grains of grain and caryopsis and grain tail length) as well as differences in qualitative characteristics (lemma and palea color, rice color (caryopsis) and shape, rice (caryopsis). Dendrogram results from cluster analysis of 18 local rice genotypes of South Solok, the coefficient of similarity was between 0.27 – 0.64 (27 -64%) with the highest similarity coefficient of genotypes G013 (rambuman variety) and G016 (redek sangir variety) with a value of 0.64 (64%).

Highest Educational Institution in the Eyes of Kyrgyzstan Students for Today (Trends, Development, Prospects)

The article explores the current trends, development and prospects of higher education in Kyrgyzstan, based on the opinion of students. In the context of a rapidly changing educational environment, the views and preferences of students are of great importance in understanding the evolution and prospects for the development of higher education. The article is based on a study conducted between 2021 and 2023 among students of various higher educational institutions in Kyrgyzstan. Using survey methods, focus groups and interviews, data were collected on students' opinions about the current state of higher education, its trends and development. The article discusses various aspects of higher education, such as the quality of education, accessibility, the use of modern technologies and methods, international relations, adaptability to the needs of the labor market and prospects for further development. The analysis of students’ opinions and feedback helps to identify current challenges and problems in higher education, as well as to identify potential areas for development and improvement. The article offers recommendations and solutions for educational institutions and government bodies aimed at improving the quality of education, developing innovative approaches and adapting to modern requirements. The analytical overview presented in the article serves as a valuable source of information for decision-making in the field of higher education in Kyrgyzstan and can be used by stakeholders to understand and take into account the views of students when planning future development strategies.

Stereotypical Perception in Management: A Review and Expansion of Role Congruity Theory

Role congruity theory proposes that bias may arise from the perceived incongruity between stereotypes about a social group and expected requirements for success in a social role. Since its introduction, with a focus on gender roles and the development of prejudice against female leaders, management scholars have applied role congruity theory to understand the emergence and consequences of prejudice in a wide range of organizational settings. We provide a review of management research that has incorporated role congruity theory. In this review, we first identify the key constructs and predictions that underlie the theory. Then, we summarize the adoption of the theory in the management literature based on the effects of role incongruity on target evaluation, outcome, and adaptation. Lastly, we suggest potential areas for future development of the theory, including the expansion of the theory to include social roles beyond gender, the examination of multilevel and multidimensional role incongruity effects, and other relevant emerging topics. We hope that this review will promote the accessibility of role congruity theory to management researchers and stimulate the development and application of the theory in the field of management.