National Product Research Articles

TECHNOLOGICAL GAP AMONG THE FARMERS REGARDING RECOMMENDED SORGHUM PRODUCTION TECHNOLOGY

In India and other Asian and African countries, millets commonly include sorghum, pearl millet, and a range of small millets (Vetriventhan et al., 2020). India is the sixth largest producer of sorghum globally (www.smartfood.org). Sorghum is mainly used for food, fodder, alcoholic beverages and production of bio fuels. Sorghum is also known as "Global Grain" due to its multipurpose uses being a 4F (food, feed, fodder and fuel) crop. Despite of its multiple uses, the area under sorghum in India has declined from 18.61 m. ha in 1969-70 to 4.96 m. ha in 2017-18. There is wide gap between national productivity and yield potential of the improved sorghum technologies developed from the research institutes. Productivity of the crop can be enhanced by adopting the improved practices. The extent of technological gap in different production components of the technology contributes differently to the yield gap. Keeping in view the afore mentioned facts, the study on Technological Gap among the farmers regarding recommended sorghum production technology was undertaken the middle of Gujarat. A sample of 300 sorghum growers were selected from all 14 villages of Vadodara district by using proportionate random sampling. Ex-post-facto research design was used. The results of the study show that higher (87.64 per cent) technological gap in use of plant protection measures, 75.30 per cent technological gap in use of seed treatment, 63.18 per cent technological gap in weed management and 61.93 per cent technological gap in use of FYM were found in adoption of recommended sorghum production technology as majority of the sorghum growers faced constraints of high cost of farm inputs ( pesticide, insecticide, FYM), non availability of seed, good quality of FYM & fungicides at proper time, inadequate knowledge about sorghum production technology, non-availability of labor at proper time for weeding & harvesting during adoption of recommended sorghum production technology. Hence, more emphasis should be given to supply inputs in time, sufficient in quantity at affordable price to farmers.

Статистическая оценка влияния антироссийских санкций на динамику развития российской промышленности

The relevance of the study is due to the unprecedented number of economic sanctions imposed on the Russian economy since 2014. In this paper we will assess the impact of economic sanctions on the development of key sectors of the Russian industry: machine-building complex, food industry and extraction of fuel and energy minerals. The dynamics of the development of the analyzed branches of the Russian industry in the 13-year time interval was multidirectional. High utilization of production capacities and support of national production by the weak national currency were counteracted by negative factors associated with the coronavirus pandemic and sectoral sanctions against the Russian economy. The study verifies the hypothesis of the negative impact of economic sanctions on the development of Russian industry using economic and mathematical modeling methods. The results of the study showed the existence of a relationship between the number of anti-Russian sanctions and the dynamics of development of two branches of the Russian industry: food and machine-building. For the mining industry the correlation coefficient was insignificant.

Research Budget Improves National Product Independence: A National Resilience Perspective

The current fundamental problem is the low national research budget, as well as the lack of domestic product innovation so that it will have an impact on the lack of innovation in creating the latest products and defense technology that is still unable to be produced domestically and requires imports of raw materials. This will be potentially bad for a country's national resilience with the country's dependence on foreign products, which will pose a vital risk to the survival and resilience of the nation in the face of crisis. National resilience as the ability of a country to protect its welfare, identity, and political integrity actual and potential threats. There are several elements in the form of ideological, political, social, economic and military. The purpose of this study is to analyze the potential of the research budget in increasing the independence of national products and formulate recommendations in optimizing government policy. This research uses a qualitative descriptive method with a literature study approach, collecting secondary data sourced from official reports, journal articles, and government publications related to the topic of this research. Analysis is conducted on the current condition of imported product dependence and domestic product innovation capacity, when looking at opportunities and challenges in increasing national product independence. The results of this study show the potential of the research budget. If the research budget is increased in order to make the latest innovations and produce domestic strategic products, in order to increase the independence of national products, there is great potential for innovation and encourages the acceleration of the latest strategic innovations in domestic products. So that it can be expected to be a reference for the government in increasing the independence of national products so as to reduce dependence on imported products.

Integrated bioinformatics and multiomics reveal Liupao tea extract alleviating NAFLD via regulating hepatic lipid metabolism and gut microbiota

BackgroundNon-alcoholic fatty liver disease (NAFLD) poses a significant global public health concern. Liupao tea (LPT) is a Chinese national geographical indication product renowned for its lipid-lowering properties. However, the precise mechanisms and active constituents contributing to the efficacy of LPT against NAFLD remain unclear. PurposeThis study aims to comprehensively explore the therapeutic potential of Liupao tea extract (LPTE) in alleviating NAFLD through an integrated strategy. MethodsInitially, network pharmacology analysis was conducted based on LPTE chemical ingredient analysis, identifying core targets and key components. Potential active ingredients were validated through chemical standards based on LC-MS/MS. To confirm the pharmacological efficacy of LPTE in NAFLD, NAFLD mice models were employed. Alterations in hepatic lipid metabolism were comprehensively elucidated through integration of metabolomics, lipidomics, network pharmacology analysis, and real-time PCR analysis. To further explore the binding interactions between key components and core targets, molecular docking and microscale thermophoresis (MST) analysis were employed. Furthermore, to investigate LPTE administration effectiveness on gut microbiota in NAFLD mice, a comprehensive approach was employed. This included Metorigin analysis, 16S rRNA sequencing, molecular docking, and fecal microbiome transplantation (FMT). ResultsStudy identified naringenin, quercetin, luteolin, and kaempferol as the potential active ingredients of LPTE. These compounds exhibited therapeutic potential for NAFLD by targeting key proteins such as PTGS2, CYP3A4, and ACHE, which are involved in the metabolic pathways of hepatic linoleic acid (LA) and glycerophospholipid (GP) metabolism. The therapeutic effectiveness of LPTE was observed to be comparable to that of simvastatin. Furthermore, LPTE exhibited notable efficacy in alleviating NAFLD by influencing alterations in gut microbiota composition (Proteobacteria phylum, Lactobacillus and Dubosiella genus) that perhaps impact LA and GP metabolic pathways. ConclusionLPTE could be effective in preventing high-fat diet (HFD)-induced NAFLD by modulating hepatic lipid metabolism and gut microbiota. This study firstly integrated bioinformatics and multi-omics technologies to identify the potential active components and key microbiota associated with LPTE's effects, while also primally elucidating the action mechanisms of LPTE in alleviating NAFLD. The findings offer a conceptual basis for LPTE's potential transformation into an innovative pharmaceutical agent for NAFLD prevention.

How will manufacturing capacity additions in China and North America affect the carbon footprint of silicon photovoltaics?

Global annual PV installation is expected to increase from 150 GW in 2021 to 820 GW in 2030 to reach net zero emissions by 2050. Electricity production from PV generates almost zero carbon emissions, but the emissions from the manufacturing phase are nonnegligible. While most installed PV modules in the US are imported from China, manufacturers are expanding the manufacturing capacity in North America to reduce reliance on Chinese PV modules. Although it has been commonly perceived that the North American modules would have a lower environmental footprint than Chinese ones, the effect of capacity expansions and regional impact considering where each component is produced has yet to be fully understood. This study aims to compare the carbon footprint and cumulative energy demand of PERC modules manufactured in China and North America based on the expected 2024 manufacturing capacity additions. We develop PV manufacturing scenarios to perform life cycle assessment (LCA) for the first time considering the regional manufacturing capacity, partnerships between suppliers and manufacturers, and regional electricity grids, while previous PV LCA studies evaluated the national average production. The carbon footprint of China's PERC modules for monofacial and bifacial designs, when using the national average grid, is 517 and 412 kg CO2eq/kWp, respectively. In comparison, the GWP of modules produced in North America is 22.0–22.2 % lower than in China, a difference attributed to the lower carbon footprint of electricity grids. When considering where each component is made, the GWP increases by 1.5 % in China compared to the national average. This difference arises because most of China's solar manufacturing facilities are in regions with higher carbon intensity grids than the national average. Solar manufacturers can reduce the carbon footprint of their products by changing manufacturing locations or increasing the share of renewable sources for manufacturing. We find that both China- and North America-made PERC modules meet the Electronic Product Environmental Assessment Tool (EPEAT) low carbon solar criteria (630 kg CO2eq/kWp). However, to meet the ultra-low carbon solar criteria (400 kg CO2eq/kWp), a significant share, approximately 60 % for China and 15 % for North America, of the total electricity supply must be sourced from renewable energy in addition to the existing grid. This study identifies the significant impact of manufacturing locations on the overall carbon footprint of PV modules. It is important to consider production locations by stage and the regional electricity supply when developing the carbon assessment methodology of PV modules. Otherwise, manufacturers may take advantage of assessing carbon footprint using the country's average grid while producing products in dirty grid regions.

Green or grain? Impact of green space expansion on grain production in Chinese cities and its implications for national urban greening schemes

ContextExpansion of urban green space (UGS) enhances greenery and its benefits in cities. However, the impacts of such expansions on regional landscape sustainability and their spatiotemporal traits across the national scale remain unclear.ObjectivesThis study uncovers a trade-off between agricultural ecosystem services and urban human well-being—the loss of grain production due to UGS expansion consuming cropland—in China from 2000 to 2020. It proposes a safety boundary for UGS expansion to minimize the costs of grain production while addressing the escalating demand for UGS exposure.MethodsUGS expansion and cropland loss are quantified using land cover products, with statistical data contributing to the established relationship between grain loss and UGS coverage. UGS expansion scenarios for 2040 are simulated through bottom-up modeling.ResultsQuadrupled UGS area growth contributed approximately one-third to urban expansion during 2000–2020 in China. Despite improvements in per capita UGS area implying enhanced UGS exposure during rapid urbanization, UGS expansion resulted in a national grain production loss of 4.2 ± 1.4 million t from 2000 to 2020, accelerating post-2010. This loss is equivalent to the annual food intake of 9.3 million Chinese people. We propose a 30.87% UGS coverage target in China by 2040 to preserve UGS access while minimizing grain loss under future urbanization.ConclusionsAcknowledging the critical role of UGS expansion in the issue of cropland loss to urbanization is imperative. Our results offer insights into ensuring human well-being and ecosystem services through landscape and urban planning.

Fitting data to a multiple structural measurement errors model

This paper proposes two new estimation methods to fit a multiple structural measurement error model when all variables are subject to errors. The new estimation methods were extensions of the Wald estimation method, one is the weighted grouping method, and the other is the iterative method. A Monte Carlo experiment is performed to investigate the performance of the new estimators compared with the classical estimation methods; the Maximum Likelihood Estimator and Method of Moment, in terms of root mean square error and its bias. The simulation outcomes demonstrated that the suggested estimators are more effective than conventional estimators. In addition, real data analysis is discussed to examine the relationship between the national gross domestic product, unemployment rate, and human development index after applying the two proposed estimation methods.

The Art of Patchwork Kurak

The subject of the research is the study of the traditional art of ‘kurak’ by folk craftsmen and its dissemination among the people and in light industry. The purpose of the study is to study the art of craftswomen who create products using kurak. Creating favorable conditions for the production of traditional products using kurak, thus contributing to the production and dissemination of traditional kurak among the population. Ensuring conditions for the preservation in each epoch and the transfer of the art of kurak to future generation ns by using patchwork in clothing and costumes in accordance with fashion trends. The research was carried out in stages: Information was collected on national traditional patchwork products, clothing and dried apricots from printed and online sources. The following methods of empirical research are applied to the collected information and photographs: observation, experiment, comparison, as well as methods of analysis, systematization, generalization and classification of theoretical scientific research. The main stages of patchwork sewing technology have been identified. Equipment and materials have been selected for the manufacture of dried apricots and products with its use of high quality. The technological process of manufacturing the type of kurak ‘kattama’ has been developed.

A quantitative framework for characterizing the current and obtaining a future sustainable agricultural production mix meeting environmental, nutritional, and economic goals

Transitioning toward sustainable agriculture production is key in achieving sustainable development goals. However, quantifying the sustainability status of current agricultural mix and figuring out a future sustainable crop and livestock production mix that is nutritionally adequate, low in environmental impact and profitable to farmers, is a formidable challenge for any country. Here through a case-study on Indian agriculture, we demonstrate the application of a framework to first characterize the current agricultural mix by comparing 31 sustainability indicators with respective benchmarks across nutrition (social), environment and economic dimensions in each of the 36 Indian states. Next, we demonstrate the application of mathematical optimization algorithms to calculate the sustainable production mix in each state with the objective of maximizing the farmers’ profit under the constraint that the total national agricultural production meets the nutritional requirements of population without exceeding the current environmental footprint levels. Characterization results show that India does not produce enough of certain micronutrients (vitamin-E, and choline) and the carbon, nitrogen and freshwater footprints exceed their planetary boundaries while the farmers’ income remains below national targets. Optimization algorithm generated the sustainable production amounts of 138 crop and livestock items in each state and showed that fruits, vegetables, legumes, and oilseeds production needs to increase by 50%–100% while the cereals production amounts need to reduce to 50% of current levels in India. This will result in an increase in farmer’s income by 25% on average, fulfil the nutritional requirements of population and reduce the environmental footprint by 10%. Our approach can act as a template for other countries in collecting necessary data on sustainability indicators and determining optimum crop and livestock mix.

Peasant Displacement and Food Sustainability: The Colombian Case

Social migration affects the development of rural territories in multiple ways, as it poses a threat to food security and hinders the achievement of sustainable development objectives. The purpose of this research is to represent peasant migration and measure its impact on food security, since it creates conditions that alter people’s access to healthy food. Our research question is: What variables can be used to measure the impact of peasant migration on food security? A three-stage model is implemented, which includes (i) the acquisition of knowledge, (ii) the representation of knowledge, and (iii) decision-making. These stages are the basis of the methodology developed by the ARCOSES research group (Méndez A. System Dynamics and Social Problems. Bogotá: Universidad Distrital Francisco José de Caldas, 2012). The model developed to represent peasant migration and its impact on food security has five components. The model representation was applied in 58 typical rural municipalities, observing a potential loss of 30,580,000 tons of food, which amounts to 5% of the national production. Likewise, it was observed that 70% of migrating farmers are part of the economically active population. Colombian governorships should strive towards a greater and more comprehensive development of rural municipalities in order to avoid massive displacement to urban regions, which affects the availability of rural labor, causes poor agricultural production levels and compromises food sustainability. To ensure peasants’ full access to food and their well-being, an assertive intervention should be carried out by the Colombian State.

EMPOWERING WOMEN THROUGH MILLET ENTREPRENEURSHIP: CULTIVATING SUCCESS AND SUSTAINABILITY

The value addition of millets presents significant opportunities for elevating the economic status and livelihoods of rural women not only for increased income, but also for enhancing national productivity, creating employment, and fostering economic independence, personal growth, and social upliftment. Major millets, minor millets, and little millets constitute distinct types within the millet family. In India, minor and little millets are classified as coarse cereals. Women SHGs in Odisha have been directly involved in the marketing of millets and millet-based products since 2021.This report seeks to investigate the extent to which women active in millet marketing are empowered. The study is for doing a qualitative analysis of the respondents' abilities to promote the product and focus on drawing useful conclusions on how they are being empowered. The sample for the study would involve one woman from each Self Help Group (SHG) and 5 to 6 SHGs would be taken for the collection of data. This study understands the processes involved in marketing of millets and throws light on how women empowerment is possible through it.

Fire4CAST – a new integrative epidemiological forecasting model for the accurate prediction of infection risk and effective control of fire blight in Pyrus orchards

Fire blight disease, caused by Erwinia amylovora is present worldwide and affects over 40 countries in Europe where it is listed as a quarantine or regulated pest often due to ineffective control strategies maladapted to the respective production systems. In Portugal, the disease was confirmed in 2010 and the occurrence of disease outbreaks in new production areas has risen over the years. The disease affects the national production of apple and pear fruits, with greater impact on the national pear variety ‘Rocha’, widely exported to European countries and Brazil. The mild temperatures and high relative humidity promote the progression of the disease during winter, revealing the potential activity of the bacterium in the latency period (LP) of the host. Infection alert risk using the established predictive models Maryblight TM, Cougarblight and BIS98 was put in place in 2013 by Centro Operativo e Tecnológico Hortofrutícola Nacional (COTHN). These attempts to control the spread of this disease, showed low accuracy for the Portuguese epidemiological reality. Within the framework of project Fire4CAST we developed a new epidemiological model to predict fire blight disease using a systems biology approach integrating microbiological, cytological and genomic pathogen data with phenological host development and climatic variables. The presence of E. amylovora was monitored in orchards with fire blight history using standard laboratory tests. Simultaneously, the implementation of immune-flow cytometry (IFCM) highlighted the viability of E. amylovora populations prevailing during winter and early spring, long before bloom risk period. The integration of the whole data set allowed the development of the Fire4CAST predictive model, able to monitor the expected infection date (EID) and to define accurate outbreak alarms. Fire4CAST model enabled the detection of outbreak risk during winter based on rules that consider climatic data variables, which were validated by effective presence of live and active E. amylovora populations and real-time quantitative PCR (qPCR) data, accomplishing a precision rate of 83%. Field application of Fire4CAST can hopefully guide the implementation of successful control strategies, leading to more sustainable pome chain production areas.

Feasibility of Scaling up the Cost-Competitive and Clean Electrolytic Hydrogen Supply in China

Scaling up clean hydrogen supply in the near future is critical to achieving China’s hydrogen development target. This study established an electrolytic hydrogen development mechanism considering the generation mix and operation optimization of power systems with access to hydrogen. Based on the incremental cost principle, we quantified the provincial and national clean hydrogen production cost performance levels in 2030. The results indicated that this mechanism could effectively reduce the production cost of clean hydrogen in most provinces, with a national average value of less than 2 USD·kg−1 at the 40-megaton hydrogen supply scale. Provincial cooperation via power transmission lines could further reduce the production cost to 1.72 USD·kg−1. However, performance is affected by the potential distribution of hydrogen demand. From the supply side, competitiveness of the mechanism is limited to clean hydrogen production, while from the demand side, it could help electrolytic hydrogen fulfil a more significant role. This study could provide a solution for the ambitious development of renewables and the hydrogen economy in China.

English

The district Toba Tek Singh is located in the center of Punjab province. It occupies 2nd important position in national citrus production after Sargodha, with citrus orchard area of 11412 hectares and annual production of 160758 tons. Citrus productivity in Pakistan, in general, and Toba Tek Singh, in particular, is far below its its potential which could be attributed to several factors but poor soil health and inadequate soil fertility may be considered an important reason. A comprehensive nutrient indexing survey of thirty citrus orchards grown in different parts of district Toba Tek Singh was conducted to evaluate the soil characteristics and plant nutrient status. GPS coordinates of selected sites were recorded prior to sampling. Soil samples were collected at 0-20 cm, 21-40 cm and 41-60 cm depth using standard procedure. Five soil samples were collected from each site to get a composite sample for each depth. The leaf samples were collected from the 7-month-old non-fruiting branches of plants around the tree canopy during the month of September, 2022. Five healthy and uniform citrus trees were sampled from each site to get a composite leaf sample. The soil samples were analyzed for pH, electrical conductivity (EC), soil organic matter (SOM) and calcium carbonate (CaCO3). The soil and leaf samples were analyzed for macro and micronutrients. It was found that most of orchard soils of district Toba Tek Singh were moderately alkaline (pH 7.52-8.90), slight to strong calcareous (2-15% CaCO3), non-saline (0.77-3.0 dS m-1 EC) and low in SOM (0.23-1.49%) with low to medium nitrogen (0.01-0.06%) and phosphorus (0.58-10.52 mg kg-1) while medium to high potassium (56.47-315.34 mg kg-1). The sampled soils were low to marginal in boron (0.09-0.72 mg kg-1), copper (0.05-0.59 mg kg-1), iron (0.23-10.75 mg kg-1) and zinc (0.03-1.83 mg kg-1) while adequate in manganese (1.35-26.20 mg kg-1). Leaf analysis revealed that almost 50% orchards were deficient in phosphorus (0.05-0.23%) and potassium (0.40-1.76%), while having low to marginal values of copper (1.96-20.99 mg kg-1), zinc (4.13-31.96 mg kg-1), boron (3.12-95.40 mg kg-1), manganese (42.62-96.46 mg kg-1) but adequate iron (171-552 mg kg-1). The surveyed orchard soils were mostly alkaline calcareous, deficient in organic matter and having low to moderate macro and micronutrients.

Existing Condition Analysis and Business Models Identification of Rice Farmer Corporation in Subang Regency

Abstract The transformation of rice farmers from farmer groups to a corporate business entity necessitates their ability to meet rice productivity targets and implement a sustainable business model. This study aimed to analyze the current conditions of rice farmer corporations, including their rice production performance, added value, and business models. Initially, the performance of these corporations was assessed by comparing it to rice productivity targets. Subsequently, the Hayami method was used to analyze the added value generated by the farmers. Furthermore, the existing business model of the rice farmer corporation was described, and the canvas business model method was employed to identify elements that impact the sustainability of the rice business. The research was conducted in the rice agro-industry center locations in Subang Regency. Rice productivity still lower than target, it is crucial to prioritize post-harvest handling as it plays a vital role in minimizing crop yield losses. The findings of the value-added analysis conducted within the company obtained is good and indicate that both processing procedures have the potential to create additional value. In order for this business activity to function effectively, certain resources are required. To ensure the stability of this business, partnerships are essential, benefiting both the corporation and its partners. Moreover, the development of a business model is expected to enhance the role of rice farmer corporations in promoting the growth of national rice production.

Comparison of Farmer Welfare in Kediri Regency and Probolinggo Regency Based on Farmer Exchange Rates (FER)

Agriculture is an important component of the Indonesian economy and makes a significant contribution to national Gross Domestic Product (GDP). However, the poverty rate among farmers is still high, which shows the need for a more in-depth study of farmer welfare. This study focuses on Kediri Regency and Probolinggo Regency in East Java, areas known for their agricultural contributions. The aim is to assess the welfare of farmers in Kediri Regency and Probolinggo Regency. This research uses a quantitative approach, with data collected through questionnaires and interviews. The analysis used is the Farmer Exchange Rate (FER), which is determined by comparing the Price Index Received by Farmers (It) and the Price Index Paid by Farmers (Ib). The results show significant differences between the two districts, Kediri experienced an increase in FER of 0.48%, while Probolinggo experienced a decrease in FER of 2.87%. This finding is important because it reflects differences in the welfare and economic conditions of farmers in Kediri and Probolinggo. Factors such as government support, adoption of modern technology, and seasonal changes were identified as influencing these outcomes. Strategic recommendations include increasing productivity through technology and starting programs targeting young farmers. This effort aims to improve agricultural effectiveness and the overall welfare of farmers in the region.

E-Farming Portal Using Django

Abstract :- Traditional methods and middlemen’s exploitation throughout the crucial produce-selling period pose problems for India’s agriculture sector. E-farming and agromarketing come to light as revolutionary remedies to this problem. One essential component of agro marketing is e-farming, which uses digital platforms to empower farmers. Farmers are less vulnerable to changes in the market because they can now sell their goods across the country thanks to the removal of geographical restrictions. The goal of the article is to improve agricultural practices in India by implementing an E-farming platform using Django. By facilitating national product sales and lowering farmers’ susceptibility to market swings, e-farming makes use of digital channels to empower farmers. The suggested system combines Python Django with front-end tools (HTML, CSS, and Bootstrap) to provide back-end functionality. E-farming increases the revenue and decision-making capabilities of farmers by using SMS communication and real-time market data. Keywords– – Marketplace, online store, portal, Django, e-commerce, e-farming, farming, food, shopping, and web development.

Sustainable Development

An analysis of the Sustainable Development Goals (SDGs) in South Asian countries, including Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka, highlights the presence of socio-economic and political obstacles. This research examines the challenges that are impeding the accomplishment of Sustainable Development Goals (SDGs), such as poverty (SDG 1), health (SDG 3), education (SDG 4), and economic growth (SDG 8), utilizing data from the World Bank, IMF, WHO, and FAO. The financial facts given highlight the immediate need for significant actions. The report recommends that Developed Countries (DCs) take on a crucial role by allocating at least one per cent of their Gross National Product (GNP) towards development aid. Achieving success in implementing the Sustainable Development Goals (SDGs) requires effective governance and the execution of structural changes. The report advocates for providing development aid from developed countries to underdeveloped countries (UDCs), aiming to foster the exchange of experiences to address common difficulties. The conclusions guide South Asian governments in formulating efficacious economic strategies to achieve the Sustainable Development Goals by 2030. In addition, the study examines 26 papers issued by the Higher Education Commission (HEC) that investigate sustainability in Pakistani Higher Education Institutions. An analysis of this research reveals both advancements and obstacles in pursuing Education for Sustainable Development (ESD). Various stakeholders actively participate in the transformational process, including administrators, leaders, instructors, and students. The examination focuses on governance, communication, coordination, and campus outreach and tackles problems. Aligning with the Sustainable Development Goals (SDGs), prioritizing logistical assistance and excellent education (SDG 4) is crucial. The study is a manual for educators, policymakers, and curriculum creators to promote Sustainable Development, assisting researchers in formulating inquiries for sustainable development objectives.

Further study on the Rulkov neuron: geometric control, circuit realization and chaos-based encryption

Rulkov neuron with various firing modes is exhaustively explored by numerical simulation aiming to disclose its unique properties of evolution. Transient chaos and the coexistence of periodic state and chaos are found. Furthermore, it is found that the chaotic attractors in the neuron can also be arranged flexibly in phase space by a single offset booster, while the amplitude of firings is rescaled by an independent amplitude controller. Circuit implementation based on MCU is carried out demonstrating the predicted dynamics. Confidentiality and security of data play an important role in safeguarding national production and livelihood. In this paper, the chaotic firing is introduced into the Tiny Encryption Algorithm (TEA) for image encryption based on MCU combined with metrics analysis. It is proven that the Chaos-based Tiny Encryption Algorithm (ChaosTEA) exhibits higher efficiency and security compared to the traditional TEA algorithm.

Designing a 10 MW peak solar power plant using a system advisor model (SAM software). Case study: Somalia, Mogadishu Region

Globally, there has been a sharp increase in energy needs due to industrialization and technological advancement. The wisest course of action is to switch from traditional energy sources to renewable energy sources, or ecologically friendly types of energy. Solar energy is one of the most abundant and widely accessible renewable energy sources. Photovoltaic (PV) systems using solar energy to generate electricity are weather-dependent. With the data available in the System Advisory Model (SAM), the Mogadishu region of Somalia can produce about 10 MW peak solar PV system design, which will be helpful to reach the country's target of total installed solar energy capacity by 2025. The SAM was used in this paper to design (system technical design and financial analysis) the small, medium, and large PV systems for the different countries. A 6% annual growth in producing capacity is the ultimate objective of the Somali National Development Plan (NDP). The nation's production capacity increased from 115 MW to 344 MW between June 2021 and June 2015. The target of the NDP is to raise generating capacity to 1043 MW between 2022 and 2027. It is intended to raise the electrification rate to 75% from its present 36% level. 41 MW of solar and 1 MW of wind power are Somalia's total installed capacity for renewable energy (RE). There are 3,000 hours of sunshine each year in the nation, and daily solar radiation levels range from 5 to 7 kWh/m2. Somalia has 41 MW of installed solar capacity and uses it nationwide. A solar photovoltaic system in Somalia attained a performance ratio of 70.8%. By 2030, the UN wants to run all of its operations with 80 percent renewable energy.