Significant Untapped Potential Research Articles

GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Positive Sample Machine Learning Strategies.

The quest for novel therapeutics targeting G protein-coupled receptors (GPCRs), essential in numerous physiological processes, is crucial in drug discovery. Despite the abundance of GPCR-targeting drugs, many receptors lack selective modulators, indicating a significant untapped therapeutic potential. To bridge this gap, we introduce GPCRSPACE, a novel GPCR-focused purchasable real chemical library developed using the G protein-coupled receptors large language models (GPCR LLM) architecture. Different from traditional machine learning models, GPCR LLM uses a positive sample machine learning strategy for training and does not need to construct any negative samples. This not only reduces false negatives but also reduces the time to label negative samples. GPCR LLM accelerates the identification and screening of potential GPCR-interactive compounds by learning the chemical space of GPCR-targeting molecules. GPCRSPACE, built on GPCR LLM, outperforms existing chemical data sets in synthesizability, structural diversity, and GPCR-likeness, making it a valuable tool for GPCR drug discovery.

Material metabolism and associated environmental impacts in Pearl River Delta urban agglomeration

AbstractRapid urbanization has resulted in significant bulk materials use, raising concerns over associated environmental impacts and sustainability challenges. However, a significant gap remains in the city‐level analysis of bulk materials production, use, and associated environmental impacts in China. This study calculated the stocks and flows of 13 bulk materials and their associated greenhouse gas (GHG) emissions across nine cities in the Pearl River Delta urban agglomeration (PRDUA) of China during 2000–2020. Results showed that total and per‐capita material stocks within the PRDUA experienced a continuous increase, with an average annual growth rate of 0.5 Gt/year and 4.4 t/cap/year, respectively. Both material stocks and flows exhibited similar spatial distribution patterns that gradually decreased from the center to the perimeter. As stocks continuously increase, GHG emissions from material production were rising annually, reaching 187.2 Mt CO2e in 2020. While recycling end‐of‐life materials contributes to reducing GHG emissions, the current limited mass of recycling curtails its broader impacts. This situation highlights a significant untapped potential within the city to meet decarbonization goals. To maximize the carbon reduction benefits, it is essential to enhance recycling efforts. Moreover, it is crucial that recycling strategies are specifically tailored to suit the timing, location, and types of materials involved.

How far India has succeeded in harnessing its export potential in rice? Evidence Using Stochastic Frontier Gravity Model

This study employs the stochastic frontier gravity model (SFGM) to objectively assess the determinants of India’s rice exports from 2001 to 2019 across 22 major export destinations, highlighting untapped export potential and providing actionable policy recommendations for enhancing competitiveness in global rice markets. Results show that India's economic growth (GDP) and the GDP of importing nations positively impact rice exports. Conversely, geographical distances (representing transportation costs) and higher import tariffs act as deterrents. The devaluation of the Indian rupee positively influences export revenues. Common language benefits exports, while regional trade agreements show minimal impact. The study estimates significant untapped export potential between India and its partners, emphasizing the need for improved trade facilitation, logistics, and agreements. To maximize India's rice export potential, policymakers should prioritize quality compliance, streamline regulations, and invest in infrastructure and R&D for rice cultivars. Negotiating favorable trade agreements and implementing existing export policies like the New Agricultural Export Policy will aid market access and competitiveness.

A Novel Sustainable and Self-Sufficient Biotechnological Strategy for Directly Transforming Sewage Sludge into High-Value Liquid Biochemicals.

Sewage sludge, as a carbon-rich byproduct of wastewater treatment, holds significant untapped potential as a renewable resource. Upcycling this troublesome waste stream represents great promise in addressing global escalating energy demands through its wide practice of biochemical recovery concurrently. Here, we propose a biotechnological concept to gain value-added liquid bioproducts from sewage sludge in a self-sufficient manner by directly transforming sludge into medium-chain fatty acids (MCFAs). Our findings suggest that yeast, a cheap and readily available commercial powder, would involve ethanol-type fermentation in chain elongation to achieve abundant MCFA production from sewage sludge using electron donors (i.e., ethanol) and acceptors (i.e., short-chain fatty acids) produced in situ. The enhanced abundance and transcriptional activity of genes related to key enzymes, such as butyryl-CoA dehydrogenase and alcohol dehydrogenase, affirm the robust capacity for the self-sustained production of MCFAs. This is indicative of an effective metabolic network established between yeast and anaerobic microorganisms within this innovative sludge fermentation framework. Furthermore, life cycle assessment and techno-economic analysis evidence the sustainability and economic competitiveness of this biotechnological strategy. Overall, this work provides insights into sewage sludge upgrading independent of additional carbon input, which can be applied in existing anaerobic sludge fermentation infrastructure as well as to develop new applications in a diverse range of industries.

Parametric analysis of hybrid elastocaloric – CO2 cooling system

This study examines the potential application of elastocaloric refrigeration (eC) technology for the subcooling of CO2 in transcritical single-stage refrigeration cycles. Elastocaloric refrigeration, a solid-state refrigeration technology, possesses significant untapped potential due to its environmentally friendly characteristics, primarily its lack of harmful operational fluids. However, its direct stand-alone application has been limited due to the relatively small temperature spans produced by current proof-of-concept elastocaloric devices. Efforts of the scientific community have focused on extending the temperature difference that eC systems can provide, while this work offers an alternative to that challenge, offering an application solution for the current state of technology. The study proposes for the first-time a unique integration of eC technology and CO2 cooling systems, aiming to capitalise on the respective weaknesses of these technologies and transform them into strengths. In the proposed solution, an eC device operates as an external agent to subcool CO2, with the objective of enhancing the energy performance of the refrigeration system. This concept is motivated by the recent advancements in CO2 cooling systems and the growing recognition of subcooling as a promising method to boost the performance of such systems. The hybrid system’s performance was evaluated across various ambient temperatures, ranging from 20 °C to 35 °C, and at an evaporating level of −15 °C. It is evaluated by means of a calculation model based on the data obtained experimentally from an elastocaloric regenerator and an experimental CO2 plant. The system‘s energy efficiency was analysed in comparison to a non-subcooled CO2 cycle, and a third cycle comprising both eC subcooling and an expander for energy recovery from the expansion process. The results demonstrated a considerable increase in the coefficient of performance (COP) with the use of eC subcooling: increments of 2.7 % at 20 °C, 4.5 % at 25 °C, 9.6 % at 30 °C and 13.1 % at 35 °C, where more significant increments were observed at higher ambient temperatures. The eC Subcooler with expander reaches increments of 7.5 %, 11.1 %, 18.1 % and 22.2 % respectively. Additionally, the eC subcooler allowed a reduction in the optimum gas-cooler pressure by up to 5 bar at the highest environment temperature. Despite these promising results, the study underscores the necessity for further optimisation and improvement of elastocaloric devices. Additionally, it emphasizes the importance of energy recovery strategies from the expansion process in transcritical CO2 cooling system.

A hybrid wind and raindrop energy harvesting operating on Savonius turbine

In offshore environments, abundant wind and rainfall resources await development, representing significant untapped energy potential for powering Internet of Things (IoT) devices. Triboelectric Nanogenerators (TENGs) are particularly suited for capturing continuous motion in offshore environments, presenting a reliable solution for sustainable energy generation in IoT applications. Herein, we propose a wind-droplet hybrid generator (WDHG) tailored for adaptive environmental energy harvesting, explicitly targeting the demanding conditions prevalent in offshore environments. The WDHG combines the efficiency of a helical Savonius TENG with the versatility of an interdigitated electrode TENG, enabling simultaneous wind and rain energy harvesting. The helical Savonius TENG exhibits superior aerodynamic performance, producing an output power ranging from 0.39 to 2.10 mW with wind speeds increasing from 0.75 to 6.84 m/s. Additionally, the droplet TENG generates a power output of 35.90 mW/m2 under rainfall at 70 mm/min. Optimizations include not only the comparative analysis of helical Savonius turbines and the variation in pole-pair numbers but also adjustments in fluorinated ethylene propylene (FEP) film thickness and electrode gap length for interdigitated electrode, alongside the development of a tailored power management circuit (PMC) featuring dual bridge rectifiers, a buck circuit module, and a smart load switch. The PMC enables continuous operation of a low-powered digital thermohygrometer under conditions of 4.5 m/s wind speed, and drives a 20-second wake BLE server under 7.2 m/s wind speeds. Integration of the WDHG with offshore wind and raindrop extends energy harvesting capabilities, exhibiting a great potential of providing reliable power source for IoT devices.

Artificial Intelligence and the National Violent Death Reporting System: A Rapid Review.

As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths.

Shree Anna: The Nutritional Powerhouse Paving the Path for Health Security in India

Millets often referred to as Shree Anna; represent a group of small-seeded cereal grains renowned for their remarkable health benefits and drought tolerance. These grains have a long history of cultivation and are consumed across diverse regions worldwide, with a pronounced emphasis on Asia and Africa. However, recent years have seen a decline in Shree Anna cultivation and consumption due to a shift towards more profitable and higher-yielding crops. This shift has resulted in reduced food and nutritional security for communities that rely on millets for their livelihoods and sustenance. It is a rich source of protein, fiber, micronutrients, and vitamins, making it a valuable resource in addressing iron, zinc, and protein deficiencies, particularly among women and pre-school children. In India, Shree Anna holds a critical position as a predominant cereal crop, especially among low-income families, owing to its well-known nutritional value. However, despite its nutritional potential, Shree Anna remains underexplored in India, and there is significant untapped potential for its utilization. Unlocking the full potential of Shree Anna could have a profound impact on nutritional security, sustainable agriculture, and the economic well-being of communities.

Solar-hydro cable pooling – Utilizing the untapped potential of existing grid infrastructure

Over the years, the coupling of various variable renewable energy sources has emerged as a convenient way to partially or fully overcome their highly intermittent nature and low-capacity factors. In literature as well as in practical implementations, the coupling of solar and wind power systems is gaining special attention thanks to their advantageous complementarity in time. However, an area of yet not well-documented potential is the coupling of solar PV plants with non-dispatchable run-of-river hydropower plants. In this study, Poland, which still has significant untapped hydropower potential, is used as a case study. The objective of the work is to quantify the coupling potential with special attention paid to the unavoidable curtailment of solar generation due to the limited grid connection capacity. A simulation model was developed that uses input runoff, irradiation, and temperature hourly data covering the period 01.01.2008–31.12.2022 for 236 selected sites in Poland. Hydrological data were obtained from field measurements, while the remaining meteorological parameters were downloaded from the ERA5 reanalysis database. Hydropower generation was simulated assuming a constant head and a Kaplan turbine operating at different efficiencies depending on the flow rate through the turbine. The available flow was calculated considering environmental flow (e-flows) constraints. The design flow was determined based on the average multi-year flow in the considered river. The complementarity in time of these two renewable energy sources in each location was assessed by considering the grid connection capacity and resulting curtailment in case of too high simultaneous generation from both sources. The analysis showed that the average PV curtailment is about 10.7 % (or 13.2 % when it is solar PV capacity weighted) when the ratio of solar to hydro is equal. Still, it can be as high as 19.7 % in individual cases. To ensure that PV curtailment is no more than arbitrarily (in that case) selected threshold of 5 %, the solar-PV capacity should be between 58 % − 120 % of the designed hydropower plant capacity. The curtailment threshold can be further investigated as an expansion of a techno-economic analysis that fell out of the scope of this work. The additional analysis conducted by means of daily flow data showed a significant underestimation of solar curtailment in individual cases (i.e., up to 7 pp.) and, on average, lower by 0.24 pp. could be expected. Due to interannual flow variations, although the expected mean solar curtailment can be no more than 5 %, there are individual years when it is as low as 2 % and as high as 12 % of this year’s solar generation. The lessons learned from this study shed light on the potential maximization of local power generation through coupling with PV systems and the simultaneous reduction of environmental impacts by releasing higher quantities of e-flows offset by the integration of PV systems.

Electricity energy-saving behavior of households in Jordan: a qualitative study

PurposeGiven the rapid increase in energy consumption in the residential sector in Jordan recently, the question of how to promote energy-saving behavior in Jordanian households is an emerging topic that is receiving increasing attention from scholars and academics. Generally, there is an unresolved paradox in the literature concerning electricity-saving behaviors. On one hand, numerous studies highlight energy-saving behaviors. On the other hand, recent research indicates the presence of significant untapped potential in electricity-saving behaviors. Therefore, it is useful to revisit the construct of these behaviors qualitatively to expand understanding. The study aimed to provide a better understanding of electricity energy-saving behaviors in terms of its motivations, barriers and support mechanisms from household heads' or household members' perspectivesDesign/methodology/approachQualitative study in a sample of households in north Jordan was conducted in the Irbid province using grounded theory methodology. The analysis of qualitative data involved coding, followed by the integration of codes into more comprehensive categories and themes and interpreting the findings.FindingsThe results identify the motivations for households to save energy, the main barriers to indulging in electricity energy-saving behaviors, and the main support mechanisms and perceived support of electricity energy-saving behaviorsPractical implicationsThe findings bear significant implications for targeted interventions in the study area, improving motivations and addressing local barriers and can inform future policy issues by tailoring initiatives to the specific context.Originality/valueThis study is distinguished by being the first study that specializes in electricity energy-saving behavior of households in Jordan, using new methodology and techniques (qualitative survey).

Unveiling the potential of red koji polysaccharides: biosynthesis, extraction, and multifaceted biological activities.

Red koji polysaccharides, derived from the fermentation of Monascus, have been recognized for their health-enhancing properties. This article reviews their structural characteristics, biosynthesis pathways, and biological activities. It emphasizes the need for sustainable practices in fermentation and the optimization of extraction methods for scalable production. The significance of exploring the molecular mechanisms involved in their biosynthesis is also highlighted to enhance yield and efficiency. Research indicates that red koji polysaccharides possess diverse biological functions, beneficial for pharmaceutical applications due to their health benefits and minimal toxicity. The review points out the necessity for more detailed studies on key enzymes and genes in biosynthesis to improve production methods. It also identifies the current challenges in production scalability and extraction efficiency. Furthermore, while these polysaccharides show potential in pharmaceuticals, their clinical efficacy and mechanism of action in human subjects require further investigation. The review briefly explores potential structural modifications to improve their biological activities. The review concludes that red koji polysaccharides hold significant untapped potential, particularly in drug formulation. Future research should focus on overcoming current production and application challenges, including conducting clinical trials to validate their efficacy and exploring structural modifications for enhanced therapeutic benefits. This comprehensive understanding of red koji polysaccharides paves the way for their expanded application in the pharmaceutical industry. © 2024 Society of Chemical Industry.

Energy potential assessment and techno–economic analysis of micro hydro–photovoltaic hybrid system in Goda Warke village, Ethiopia

Abstract Rural Ethiopia has significant untapped potential for hydro and solar energy generation systems. However, challenges arise from seasonal variations and unfavourable topographic positions of flowing rivers, hindering the efficient exploitation of these resources. Despite the country’s abundance in hydro and solar energy resources, >75% of the population still lack access to electricity from the national grid. This work deals with energy resource potential assessment and techno–economic analysis of micro hydro–photovoltaic (PV) hybrid systems, considered in the case study of Goda Warke village, located in the Yaya Gulele district. A novel framework is proposed that utilizes the Natural Resource Soil Conservation Service curve number method to assess the energy potential of micro-hydro energy in ungauged basins, specifically at the exit point of the Girar River basin catchment. The average monthly flow rate in the basin is 0.975 m3/s, while the area exhibits a solar radiation potential of 5.39 kWh/m2/day. Energy policy promotes expanding access to modern energy sources and utilization of indigenous energy resources. Simulation results indicate that the hydro/PV/diesel generator (DG)/battery and hydro/PV/battery systems are the most optimal choices based on net present cost, with the inclusion of a DG for economic comparison. Micro-hydro energy covers most of the electric load in the area, achieving a capacity factor of 47.5%. The cost of energy and net present cost were found to be sensitive to variables such as the price of diesel fuel, pipe head loss, and the growth of the village load. The optimized system demonstrated a hydro energy potential of 1405.37 MWh/year and a PV energy output of 274.04 MWh/year, resulting in a levelized cost of energy of 0.0057 and 0.049 $/kWh for the hydro and PV components, respectively.

Transforming waste brake pads from automobiles into Nano-Catalyst: Synergistic Fe-C-Cu triple sites for efficient fenton-like oxidation of organic pollutants

The arbitrary disposal of used brake pads from motor vehicles has resulted in severe heavy metal pollution and resource wastage, highlighting the urgent need to explore the significant untapped potential of these discarded materials. In this study, The in-situ growth of highly dispersed Fe2O3 nanocrystals was achieved by simple oxidation annealing of brake pad debris(BPD). Interestingly, Cu remained unoxidized and acted as a “valence state transformation bridge of Fe2O3” to construct the “triple Fe-C-Cu sites”. The Fenton degradation experiment of pollutants was conducted under constant temperature conditions at 40 °C, a stirring rate of 1300 rpm, a pH value of 3, a catalyst dosage of 0.5 g/L, pollutant dosage ranging from 50 to 400 mg/L, and H2O2 dosage of 0.25 g/L. Experimental results showed that BPD treated at 300 °C for 2 h exhibited optimal Fenton-like oxidation activity, achieving rapid degradation of over 90 % of refractory antibiotics, such as tetracycline and ciprofloxacin, in organic wastewater within 10 min. This remarkable performance was mainly attributed to the synergistic effect of “Fe-C-Cu triple sites”, where the electron-donating role of C in the Fe-C and Cu-C interfaces facilitated the conversion of the Fe(III) to Fe(II) and Cu(II) to Cu(I). In addition, the ability of Cu2+ to accept electrons at the Fe-Cu interface promoted the transition from Fe (II) to Fe (III). This “balance of electron gain and loss” accelerated the interfacial electron transfer and the recycle of dual Fenton sites, Fe(II)/Fe(III) and Cu(I)/Cu(II), to generate more ·OH from H2O2. Therefore, this strategy of functionalizing BPD as Fenton-like catalysts without the addition of external Fe provides intriguing prospects for understanding the construction of Fe-based Fenton catalysts and resource utilization of Fe-containing solid waste materials.

СТРАТЕГИЧЕСКИЕ ОРИЕНТИРЫ РАЗВИТИЯ ПРОМЫШЛЕННЫХ ПРЕДПРИЯТИЙ ДОНБАССА

The work highlights the guidelines for the development of the industrial complex of Donbass, through alternative economic and organizational tools of technological progress, allowing, in the context of the restoration of industrial enterprises of the Donetsk People’s Republic (hereinafter referred to as the DPR), the development of progressive forms of production organization (PFOP) and advanced management methods. An analysis of the existing practice of the considered areas of the organizational, economic and technical level of the industrial potential of Donbass made it possible to outline the concept of a comprehensive solution for the synthesis of production structures at the stages of reconstruction and technical re-equipment of production. The methodological basis is generally accepted in economic science methods of scientific analysis and synthesis, induction and deduction, generalization, comparison. The paper presents the results of analytical studies of an important component of the scientific and technical potential of industrial sectors of Donbass, which have significant untapped internal potential for activating and restoring its economic and technological structure to a higher neo-industrial competitive level. The main strategic guidelines for the development of industrial enterprises in Donbass are outlined, including: a) the creation of the Unified Fund for the Development of Science and Technology (EDFST); b) development of mini-factories on unused production areas of MMK im. CM. Kirov and Azovstal Iron and Steel Works; c) optimization of business processes of iron-containing components for resource recycling; d) development of progressive forms of production organization and innovative technologies.

RPG Imersiva saúde do idoso: uma nova possibilidade de construção de aprendizagem em saúde?

Abstract Objective To assess the applicability and effectiveness of a game incorporating Roleplaying Game (RPG) elements as a pedagogical tool for health education. Method The study population comprised undergraduate and postgraduate students in the health field at the Universidade Federal do Rio Grande do Sul, Brazil. This qualitative research was conducted between April and June 2018 in two stages. Initially, the RPG was implemented with the involved classes, followed by Focus Group interviews conducted a week later to gather information, with volunteers from these classes who willingly participated in the research. Information analysis was grounded in aspects of Grounded Theory (GT). Results The analysis yielded the following categories: 1) Game creation, 2) Impact of the experience on teaching and learning, 3) Reflection on the game. The results demonstrate that the use of RPG-influenced games holds significant untapped potential in the health education process. This innovative method remains underutilized within the health domain, necessitating adherence to specific premises for its potent application. Conclusion In this context, it is understood that the game contributes to health education, enhancing knowledge and skills through a challenging and reality-connected experience.

Cordierite glass-ceramics prepared by multi-wastes

Glass-ceramics is prepared by selecting a suitable temperature system to heat the basic glass and controlling the temperature and time of nucleation and crystallization. Cordierite (2MgO·2Al2O3·5SiO2) belongs to the MgO-Al2O3-SiO2 series of glass-ceramics, which has excellent thermal shock resistance, excellent chemical stability, low thermal expansion, low dielectric constant, low dielectric loss, and low thermal conductivity. Because glass-ceramics have a variety of excellent properties, this technology, which has seen extensive development and application across numerous domains, holds significant untapped potential. Converting industrial slag and metallurgical waste into glass ceramics presents a novel strategy for the comprehensive recycling of solid waste. Among various industrial waste slags, coal gangue is the most prevalent of China’s industrial solid waste. Utilizing inexpensive coal gangue slag as a primary ingredient for producing high value-added glass ceramics can diminish pollution, safeguard the environment, and yield considerable economic and social advantages. This study utilizes coal gangue, high carbon chromium iron slag, and iron tailings as the main components, employing the fundamental attributes of sintering testing equipment to create samples of cordierite glass-ceramics. The impact of the basic glass mass, molding pressure, and duration of pressure application on the crystallinity and grain size of the glass-ceramics were evaluated using X-ray diffraction analysis. Findings indicate the optimal combination to be a basic glass powder mass of 6 grams, a molding pressure of 35 MPa, and a holding time of 10 minutes.

Challenges and Experience in Training Intellectually Disabled Students in the National Floristry Competition: Toward the WorldSkills Competitions

Malaysia is one of the 85 member nations competing in the WorldSkills Competition, which unites two-thirds of the world's population. The WorldSkills mission is to encourage and assist 100 million young people in advancing their skills by 2030. This study investigated how teacher (special education teacher), the community (instructor), and expert, train an intellectually disabled student for the National Floristry Competition. As a precursor for the WorldSkills Competition, this study examined their experiences and difficulties in training intellectually disabled student for this competition. This study uses a purposive sampling method with three participants rather than a random one. Based on a case study research design, it employs ethnographic participant observation and indepth interviews, among other techniques. The study determined that student with special needs should participate in international skill competitions as early as possible. The Malaysian floristry industry has significant untapped potential, and students with intellectual disabilities can access it if they receive ongoing guidance and training. To be successful in the WorldSkills Competition, Malaysia must overcome financial, time, and knowledge limitations. This study illustrates the difficulties and lessons learned in preparing an intellectually disabled student for the national floristry competition. These empirical investigations result in a deeper understanding and are crucial to academicians as the path for future planning and generating future young talents for the WorldSkills Competition.

Tuning data preprocessing techniques for improved wind speed prediction

Accurate wind speed forecasting is crucial for efficiently integrating of wind power into the electrical grid and ensuring a stable power supply. However, wind speed is inherently noisy and unpredictable, making it challenging to forecast accurately. This study investigates the effects of hyperparameters of Discrete Wavelet Transform (DWT) and Singular Spectrum Analysis (SSA) on the accuracy of wind speed forecasting using various prediction models. Our proposed method focuses on the optimisation of hyperparameters within the existing models, suggesting that significant untapped potential remains. Our study examines a wide range of wavelet function orders for DWT and varying trend ratio parameter for SSA, and evaluates their impact on the prediction accuracy using real data from thirteen locations in Jordan. Particularly, our investigation reveals that high-order Daubechies wavelets in DWT outperform low-order wavelets. The study also illustrates that optimal hyperparameters must be modified when changing the prediction model and the combination of DWT and SSA enhances prediction performance when the trend ratio is set to 90%. Our results demonstrate that fine-tuning data preprocessing techniques is essential for accurate wind speed prediction since hyperparameter tuning results in greater improvements in prediction accuracy than sophisticated prediction models alone. Our findings underscore the importance of leveraging data preprocessing techniques and hyperparameter tuning for accurate wind speed forecasting.

Market Risk Analysis in Investment Portfolios in Uganda

Purpose: The aim of the study was to examine the market risk analysis in investment portfolios in Uganda.
 Methodology: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library
 Findings: The study on Market Risk Analysis in Investment Portfolios in Uganda examines factors affecting investors' performance and profitability in the country. It finds significant untapped potential for foreign direct investment (FDI) in Uganda, particularly in the services sector, but also identifies risks like volatile weather, political instability, weak governance, and high inflation. To attract more investors, the study recommends improving regulations, diversifying exports, enhancing regional integration, and promoting tourism. These steps could help Uganda harness its economic potential.
 Unique Contribution to Theory, Practice and Policy: Modern Portfolio Theory (MPT), Capital Asset Pricing Model (CAPM) & Behavioral Finance Theory may be used to anchor future studies on the examining market risk analysis in investment portfolios in Uganda. Encourage investors to diversify their portfolios across various asset classes and geographic regions to mitigate market risk. Collaborate with regulatory authorities to establish and enforce robust risk management and reporting standards for financial institutions and investment firms operating in Uganda.

AKSELERASI GREEN ECONOMY MELALUI DIGITAL SYSTEM ERP DI DESA WISATA KEMIRI KABUPATEN JEMBER

Every region in Indonesia has the potential to generate income from the tourism sector, especially if it is supported by advances in information technology. However, there is a lot of tourism in Indonesia that has not fully implemented digitalization optimally. Like Kemiri Village in Jember Regency which faces challenges in integrating management and effective marketing. This research aims to optimize the tourism sector in the Kemiri Tourism Village through the implementation of the Digital System Enterprise Resource Planning (ERP). This transformation aims to increase visibility, attract more tourists, and facilitate the management of tourist villages. A qualitative and descriptive research approach was used to comprehensively assess the tourism situation in Kemiri Village. Primary data was collected through interviews with selected communities, as well as direct observation in Kemiri Village, and questionnaires via gform. Secondary data came from documentation, journals and literature. The waterfall method and SMART analysis were also used. Research findings reveal significant untapped tourism potential in Kemiri Village, moreover, integration is still limited. This Digital System Enterprise Resource Planning based website overcomes existing problems by increasing integration between tourist destinations. This website also contributes to the green economy by reducing the use of paper (paperless) through digital transformation in tourism operations.