Traditional Production Research Articles

Peran Komunikasi Pemasaran Modern pada Produk Kuliner Tradisional di Teras Jahe Yogyakarta

One business that is still consistently increasing and contributing to the national economy is the growth of the culinary/food and beverage (F&B) business industry, as gastronomic trends continue to be initiated as a new tourism alternative. This research aims to analyze the sales efforts of traditional culinary products carried out by Teras Jahe Yogyakarta using the 10P Marketing Mix theory based on Kotler and Armstrong's perspective. This research uses a qualitative descriptive method through data collection techniques: observation, in-depth interviews, documentation, and literature study. The results of the research show that the management at Teras Jahe Yogyakarta has carried out various promotions in conventional marketing media to digital marketing media, especially those that focus on strengthening the brand image with the tagline "Warming the Archipelago". The application of the 10P indicators in the marketing mix is a fundamental tool that Teras Jahe Yogyakarta must continue to optimize to maintain its business.

Investigating aquaculture farmers' preferences for multiobjective green production schemes: A discrete choice experiment in China

In recent years, the objectives of green agricultural development have increasingly diversified, incorporating food safety, pollution control, and resource conservation. This diversification has further heightened the potential for conflicts between policy objectives and the individual interests of farmers. Understanding farmer trade-offs with respect to multiobjective green production (MOGP) policies is crucial for the comprehensive implementation of agricultural green development policies. The green and healthy aquaculture action (GHAA) encompassing multiple green technology objectives promoted by the Chinese government provides a favorable policy context. On the basis of the policy background of the GHAA, this study utilized the choice experiment method (CEM) to explore the preferences of aquaculture farmers for various green technology objectives and supporting measures. The results indicate that aquaculture farmers are willing to make trade-offs among various green technology objectives with the support of specific measures to transform traditional production methods. Farmers have varying preferences for different green technology objectives. Overall, they tend to prefer implementing compound feed utilization but are averse to implementing aquaculture effluent treatment. In terms of support measures, providing technical guidance is more effective than providing aquaculture insurance in incentivizing farmers to participate in MOGP schemes. Further analysis indicates that there are three latent preference classes, which differ in their preferences for green technology objectives and support measures. Age, gender, aquaculture area, risk preferences, and participation in cooperatives explain the probability of preference class membership.

Financial inclusion effects of engaging with the fintech ecosystem

Using the FinAccess Kenya Household Survey dataset, we construct a metric of individual engagement with the fintech ecosystem and examine its linkage with consumption of traditional financial products. Deploying a battery of econometric procedures, we document a pervasive gap in the usage of traditional financial products, ranging from 5.3% to 17.5%, between individuals who engage with the fintech ecosystem and those who do not. Treatment-effects procedures yield evidence that engaging with the fintech ecosystem improves individuals’ usage of traditional financial products by about 4 percentage points. The positive impact of the fintech ecosystem on the usage of traditional financial products is enabled by fintech mitigating the distance barrier. Interestingly, our findings suggest that the fintech ecosystem does not perform well in addressing financial inclusion inequalities facing young adults, women, the less educated and less wealthy people. We offer policy guides and future research suggestions anchored on these findings.

Development of Indonesian Original Medicines Study of Standardized Herbal Medicine Products "Tolak Angin" as Traditional Medicine

The use of traditional medicine continues to grow rapidly in Indonesia, reflecting the country's abundant natural and cultural wealth. One of the leading herbal medicine products is Tolak Angin, which is produced by PT. Sidomuncul Herbal and Pharmaceutical Industry, Tbk. Tolak Angin is a Standardized Herbal Medicine (OHT) that has been scientifically tested for its safety, quality, and benefits. This article presents an overview of the ingredients, production process, and clinical trials of Tolak Angin, as well as its impact in the context of Indonesian public health. By involving literature studies and secondary data analysis, this article highlights the importance of standardization in the development of effective and safe traditional medicine products. In conclusion, Tolak Angin not only represents local cultural heritage and knowledge, but also plays a vital role in providing affordable and reliable treatment alternatives for the community.

Benefits of Environmentally Friendly Plaster on Mechanical Properties When Combined with Polyester Resin and Hardener Are Examined under Compression and Tension.

Recently, plaster has gained increasing attention as a mechanical and environmentally friendly option and is an effective alternative to traditional cement products. Additionally, polyester has an effective impact on the mechanical properties of materials, in addition to being one of the most environmentally friendly materials. However, studies are still ongoing to reach the best ratios of polyester resin, polyester hardener, and gypsum plaster that can improve mechanical properties. This research aims to investigate the impact of these components at various ratios (30%, 45%, and 60%) of gypsum plaster weight on the mechanical properties of plaster material. This study is carried out by conducting compression and tensile tests for three ratios, which are considered among the most important mechanical tests according to their applications. In addition, the environmental emissions resulting from the three different ratios of plaster are evaluated to determine their environmental impact. This study found that the largest ratio (30%) was the most effective from an economic and mechanical point of view, while achieving lower carbon emissions compared to the other ratios, which enhances the trend towards achieving the environmental goals of the Kingdom of Saudi Arabia's Vision 2030 to reach zero emissions. This study is highly significant both in terms of scientific research and practical application across a range of industries, since it integrates the enhancement of material performance with the achievement of environmental sustainability requirements.

Comprehensive analysis of the effects of cooking conditions on the quality, sensory characteristics, and flavor profile of glutinous rice chicken, a Chinese traditional poultry meat product

This study investigated the effects of cooking conditions on cooking loss, texture, and sensory attributes of glutinous rice chicken (GRC), a popular Chinese poultry dish. We compared the nutritional and sensory profiles of GRC prepared under optimal conditions (GRC-OP) with those of a commercial product (CG). Cooking time, power, and pressure significantly affected the shear force, hardness, and sensory qualities of GRC. The optimal parameters were determined using an orthogonal design: 20 min cooking time, 1000 watts power, and 60 kPa pressure. Gas chromatography/mass spectrometry and E-nose analyses showed that GRC-OP had a volatile profile similar to that of CG but with higher levels of specific compounds, including heptanal, 2-heptenal, octanal, hexanol, octanol, and 1-nonen-4-ol. GRC-OP also exhibited superior umami, salty, and rich tastes, and higher amino acid content, particularly Asp, Glu, Thr, Ser, Ala, Val, Met, and Ile. These findings provide crucial data for optimizing the quality and nutritional value of GRC in the meat industry.

An Ecosystem of Collective Futures: How Journalists and Experts Co-Construct Projections in Hybrid Media Environments

Journalists and experts play a pivotal role in communicating risks and helping the public navigate uncertain futures. This study examines the co-construction of projections by journalists and experts across news and social media during the Covid-19 pandemic. Unlike traditional news production, where journalists exercise agency by transforming expert knowledge into news narratives, hybrid media environments involve multi-platform, multi-directional, and non-linear processes of knowledge production. In light of these characteristics, we introduce and develop the concept of “predictive agency,” referring to an actor’s active participation in predictive knowledge-making and encompassing journalistic, civic, and epistemic forms of agency in shaping and navigating future-oriented knowledge. We analyse the trajectories of 400 projections in Israel and the US, tracing the interactional and informational dynamics between journalists and experts. Through qualitative textual analysis of the various iterations of each projection, four types of co-constructed projection systems emerge: Amplify, Distill, Elaborate, and Contest. We explore the complexities of predictive agency and accountability in these systems, shedding light on how collective futures are contested and co-constructed in hybrid media environments.

Biosynthesis of novel non-proteinogenic amino acids β-hydroxyenduracididine and β-methylphenylalanine in Escherichia coli.

Non-proteinogenic amino acids (npAAs) are valuable building blocks for the development of advanced pharmaceuticals and agrochemicals. The surge in interest in their synthesis is primarily due to the potential to enhance and diversify existing bioactive molecules. This can be achieved by altering these bioactive molecules to improve their effectiveness, reducing resistance compared to their natural counterparts or generating molecules with novel functions. Traditional production of npAAs in native hosts requires specialized conditions and complex cultivation media. Furthermore, these compounds are often found in organisms that challenge genetic manipulation. Thus, the recombinant production of these npAAs in a model organism like Escherichia coli paves the way for groundbreaking advancements in synthetic biology. Two synthetic operons, comprising of five heterologous proteins were genomically integrated into E. coli for the synthesis of npAAs β-methylphenylalanine (BmePhe), β-hydroxyenduracididine (BhEnd), and enduracididine (End). Proteomic and metabolomic analysis confirmed production of these compounds in E. coli for the first time. Interestingly, we discovered that the exogenous addition of pathway precursors to the E. coli system enhanced the yield of BmePhe by 2.5 times, whereas it concurrently attenuated the production of BhEnd and End, signifying a selective precursor-dependent yield enhancement. The synthetic biology landscape is broadened in this study by expanding the repertoire of amino acids beyond the conventional set of 22 standard proteinogenic amino acids. The biosynthesized npAAs, End, BhEnd, and BmePhe hold promise for engineering proteins with modified functions, integrating into novel metabolites and/or enhancing biological stability and activity. Additionally, these amino acids' biological production and subsequent purification present an alternative to traditional chemical synthesis methods, paving a direct pathway for pharmacological evaluation.

Synergistic effects of alkaline and heat treatments on structural and functional properties of mung bean protein isolate: improving physicochemical stability of plant‐based emulsions

SummaryPlant‐based meat alternatives often require fat replacers to mimic the texture of traditional products. This study aimed to develop plant‐based emulsion gels using mung bean protein isolate (MBPI) as a potential fat substitute. However, creating these gels via heat setting requires a high protein concentration, which demands modification of the MBPI structure to enhance emulsifying properties. This study investigated synergistic effects of alkaline treatment (0.3 or 3.5% Na2CO3) and heat treatments (40 or 70 °C) on the functional properties of MBPI at high protein levels, for potential application as a plant‐based emulsion. The combined treatments reduced the zeta potential of protein suspensions from −9 to −19 mV and altered the protein conformation to form smaller particles (from 426 to 166 μm) with increased β‐sheet content. These treatments improved dispersibility of 8% MBPI suspension (58 to 86%), emulsifying activity index (6.34–10.89 m2 g−1), and stability coefficient (43 to 96%). Notably, MBPI samples treated with 0.3% Na2CO3 at 40 and 70 °C exhibited excellent emulsifying properties, forming stable monolayers at the oil–water interface, likely due to the increased surface activity of MBPI. Increasing protein concentration to 11% facilitated heat‐set gel formation; however, addition of 3.5%‐Na2CO3 induced premature gelation, limiting its application in emulsions. At 0.3%‐Na2CO3, increasing the protein content from 8% to 11% and the oil content from 10% to 30% further reduced emulsion droplet size, especially for MBPI treated with 0.3% Na2CO3 at 70 °C (MB‐0.3%‐70 °C) from 5.10 to 2.61 μm, likely due to decreased coalescence. This treatment yielded superior MBPI‐stabilised emulsion gels with enhanced penetration, fluid retention, and stability by possibly reducing protein aggregation. These findings demonstrate the potential of MBPI modified by combined addition of 0.3% Na2CO3 and heat treatment, particularly MB‐0.3%‐70 °C, as a promising ingredient for producing plant‐based emulsions.

Innovations in Engineering and Technology of Worm-Type Gears

Relatively small changes in engineering and technology of traditional established products turn over time into a series of milestones that determine both technical characteristics and production methods, and as a consequence - the competitiveness of the final product. Accordingly, it is relevant to periodically look at the evolution of the accumulated solutions and make some conclusions on it. For this purpose, the paper reviews innovations in design and production of worm-type gears obtained in Izhevsk scientific school in the field of gears for the last two decades: spiroid gears operating at low rotational speeds and transmitting high loads, leading to plastic deformations due to compactness of gears; spiroid gears with small gear ratios (3...8) competing with more expensive in production bevel and hypoid ones; worm gears with steel hardened gearwheels with increased strength and manufacturability; planetary spiroid gears providing extremely high gear ratio, improved methods and techniques of design and preproduction of gear cutting. The paper presents the review of innovations in design of worm-type gears made in Izhevsk scientific school in the field of gears for the last two decades: spiroid gears for cases of low speeds and small gear ratios, worm gears with steel hardened gearwheels, planetary and spiroid gears, improved methods and techniques of design and preparation of gear cutting.

Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators

AbstractWith the advancement of industrial low carbonization and electrification, emerging industrial production technologies have the characteristics of high‐power consumption and significant impact load. In the context of increasing global climate change, frequent extreme weather events have brought serious challenges to the balance of power and electricity in the power system, and have a significant impact on the production scheduling of industrial users, especially industrial users using electrified production technology. First, based on the representative high‐power industrial users of hydrogen reduction steel plants and internet datacentres (IDC), this paper establishes a flexible resource scheduling optimization model for single industrial users, and considers the collaborative relationship between multi‐user flexible resources to establish a collaborative scheduling optimization model for industrial users. Then, considering the charging and discharging characteristics of electric vehicles (EV) in extreme scenarios, the redundant capacity of EVs is aggregated by EV aggregators and sold to industrial users, and a collaborative scheduling optimization model of EV aggregators and industrial users is established. Finally, the effectiveness of the proposed model and algorithm is verified by simulation analysis. Compared with the traditional industrial user production optimization, the proposed model can tap the potential of multi‐agent scheduling operation in extreme scenarios.

Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods

Additive manufacturing has attracted attention as a new generation manufacturing method that has found widespread use in many industries in recent years due to its many advantages over traditional manufacturing methods. The materials used in metal additive manufacturing technology have a wide range. Therefore, making the ideal choice among these preferable materials is very important. Multi-criteria decision making (MCDM) techniques are reliable and effective methods in material selection processes and are effectively used in material selection processes. In this study, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Additive Ratio Assessment (ARAS) methods were applied to the selection process among different criteria and materials for metal additive manufacturing. It was observed that AlSi12Cu2Fe material ranked first in the TOPSIS method, while H13 material ranked first in the ARAS method. The second place was taken by H13 material in the TOPSIS method and AlSi12Cu2Fe material in the ARAS method. A strong relationship exists between TOPSIS and ARAS methods with a Pearson correlation coefficient of 0.977. It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.

Delimitation of Differentiated Management Units (DMUs) based on productivity maps, slope maps and vegetation indices

According to several projections, the planet's demographic density will continue to increase in the coming decades, a fact that makes it necessary to increase food production to meet population demand. However, there are factors that can make it difficult to achieve production goals, such as the high cost of inputs. Therefore, aiming to increase productivity and reduce costs through optimizing the use of resources and the area available for production, it is necessary to implement alternatives to traditional production control methods. In this aspect, precision agriculture stands out. For precision agriculture to be applied to crops, it is first necessary to observe the spatial and temporal variability of the area, through georeferenced data on the attributes that involve the production system. The correlation of these attributes can indicate sub-regions within the production areas that can receive homogeneous treatment; these fractions of the area can also be called Differentiated Management Units (DMUs). Therefore, the objective of this study was to evaluate the viability of DMU delimitations using data on productivity, slope and vegetation indices, referring to the 2020 harvest for corn cultivation. To this end, geoprocessing of the data obtained using the QGIS software was carried out, so that 3 DMUs were generated for the area evaluated in the study. Thus, the DMUs were compared with the 2021 corn harvest. The results show that the DMUs, produced with data from the 2020 corn harvest, delimited regions with different productivity data in the 2021 harvest, indicating that the possibility of obtaining better parameters in production if differentiated management were carried out in the field, and such planning can be carried out based on the assessments that DMUs allow to be carried out.

The analysis of vegetable and fruit export competitiveness of the Republic of Srpska

The aim of this research is an analysis of the Republic of Srpska's export competitiveness in vegetables and fruit on international markets. Two main evaluation indices were used, namely the trade competitiveness (TC) index and the revealed comparative advantage (RCA) index to measure and analyze the international position of vegetables and fruit during 2015 – 2022. Both indicators were calculated based on statistical data on foreign trade in vegetables and fruit between the Republic of Srpska and the world, EU, and CEFTA countries, and analyzed using descriptive statistics. Vegetables and fruit participate with 7.17% and 15.41% in the total export of the Republic of Srpska’s agri–food sector. Analysis of the export structure of this sector showed an average share of vegetables and fruit of 12.04% and 9.43% in the EU market, i.e., 1.63% and 9.65% in the CEFTA market. The results indicate strong export competitiveness of the Republic of Srpska in vegetables concerning the world and EU markets, but weak export competitiveness in relation with the CEFTA countries. The Republic of Srpska recorded strong export competitiveness in fruit on the world and CEFTA market, while poor export competitiveness in the EU market. Within these two product groups on the world market, cucumbers, apples, pears, and plums achieved strong export competitiveness. Cucumbers and plums were two leading products regarding strong export competitiveness On the EU market, while apples and pears were on the CEFTA market. Considering the favourable agroecological conditions for the production of vegetables and fruit, the Republic of Srpska should continue to promote production and foreign trade in these traditional products and improve their competitiveness on international markets.

Plantain flour: production processes, technological characteristics, and its potential use in traditional African dishes - a review.

This review describes some processes for converting plantain pulp into flour and semolina and the influences that operating conditions can have on some of the technological characteristics (functional and pasting) of this flour. Some traditional African dishes that can be prepared with plantain flour are also presented. A literature review was conducted using a list of keywords and expressions on platforms such as Google, Google Scholar, and ResearchGate. The results show that work carried out to date has mainly focused on a few well known traditional bakery products such as bread, cakes, and biscuits. There has been relatively little research on transforming plantain pulp into flour as part of the preparation of traditional African dishes such as foutou or amala. This work has often been carried out in the laboratory, without any link to local artisanal processes or knowledge of consumer preferences. There is a need to standardize local culinary practices for processing plantain into flour or semolina. The data from this review opens the door for applied research into innovative technological procedures for processing plantain to add value to local dishes adapted to new urban lifestyles, to meet local consumer needs, and to reduce post-harvest losses. © 2024 Society of Chemical Industry.

Investigation of the Awareness of Automated News in terms of Public Opinion: Artificial Intelligence Journalism

Developments in information and communication technologies have created change and transformation in news production and reading habits, and the use of artificial intelligence in the journalism sector has become inevitable as the process transforms society. With artificial intelligence journalism, news can be produced and edited quickly. However, this speed and automation can create problems for readers in terms of accuracy and detail in consuming the news. In this context, the roles of journalists are also changing, and they are effective in checking the accuracy of news and developing public awareness. Automated news production has developed with the use of artificial intelligence-based software. In the automated news production process, which has come to the agenda through artificial intelligence, the automated creation of news through a number of algorithms and software and its rapid presentation to consumers has taken its place in the new generation journalism. Therefore, with the use of artificial intelligence in news production, public awareness should also be taken into consideration. This study investigates public awareness in the context of automated news production and news reliability, objectivity, confidentiality, employment problems of journalists and ethical rules. The independent variables of the study are the gender, age, education and occupation of newspaper consumers, while the dependent variables are the public opinion on the characteristics of the news in the face of news produced with artificial intelligence. The population of the study consists of individuals who use social media, read digital newspapers and are over the age of 18, while the sample consists of 400 people who voluntarily responded to the study. In the study, half of the participants are aware of the concept of artificial intelligence and that news is sometimes produced with artificial intelligence. Most of the participants think that weather news is produced by artificial intelligence, as well as economy, earthquake, weather and sports news are all produced automatically. The majority of the participants think that they are concerned about the reliability of the news produced by artificial intelligence, that these news are more qualified and more reliable than the news produced by the traditional news production process. Some of the participants also think that their news needs should be met through news produced by artificial intelligence today. It has been also found that there were significant differences between the gender, age and occupational groups of the participants and their attitudes towards news produced by artificial intelligence.

Manufacturers’ digital transformation under carbon cap-and-trade policy: investment strategy and environmental impact

Digital transformation (DX) has become an important strategy for the sustainable development of traditional manufacturers. However, the impact of DX on the environment is still inconclusive, and whether it is beneficial for manufacturers to reduce total carbon emissions remains to be examined. Therefore, based on the carbon cap-and-trade policy, this paper employs a game-theoretic model to study the DX strategies of duopolistic manufacturers and to explore the influence of low-carbon policy on these strategies. Additionally, we compare the total carbon emissions before and after DX implementation by manufacturers, discussing the environmental implications of DX. And we innovatively segment the market into two scenarios: one with a low digital technology level and the other with a high digital technology level. Our research demonstrates that the appropriate DX strategy can not only boost manufacturers’ profits but also enhance their ability to withstand external shocks. In the scenario with a high level of digital technology, manufacturers can achieve greater profits and are more likely to reduce total carbon emissions, resulting in a win-win situation. Sensitivity analysis reveals that an increase in carbon trading prices encourages manufacturers to ramp up their investments, ultimately driving comprehensive DX. This study not only provides decision-making guidance for the DX of manufacturers, but also provides a direction for the government to promote DX and achieve carbon neutralization.

A study of older women’s lives in India beyond four walls

This paper conducts a comparative and exploratory study on altruistic and pay-to-stay care systems, exploring the intersection of tradition and contemporary society. The research delves into the underlying mechanisms of both care systems, shedding light on the daily lives, challenges, and vulnerabilities of older women residing in care homes. Emphasising the state’s and market’s evolving role in the older care system, the study highlights the relatively recent market invasion. Employing an exploratory and descriptive research design, the sample comprises fifty-six women aged 60 and above in Lucknow city’s (Uttar Pradesh, India) care homes. Given the heterogeneity among women in care homes regarding social and moral values, the study utilises multi-stage random, stratified, and purposive sampling techniques as needed for the analysis. Data had been gathered from two care homes— one not charging residents and another a paid facility catering to lower-middle and middle-income groups. The researcher spent a year and a half working in these homes, conducting interviews with all respondents. The paper uncovers distinctions in care homes based not only on altruism and pay-to-stay but also on caste and class dynamics, contributing to social inequality and limiting social mobility. The stratification of the State and market results in varying quality of life for older women. While the market holds potential for innovation and improved service quality, economically dependent women often defer this choice to their family members. Socioeconomic status significantly influences the decision to lead a dignified life, with some women reluctantly relying on the state for survival after being abandoned by their families, leaving them hapless and hopeless.

Techno‐Economic Analysis of Additively‐Manufactured Wind Turbine Blade Tips That Enable Technology Integration

ABSTRACTThe Additively‐Manufactured, System‐Integrated Tip (AMSIT) project is leveraging the flexibility of 3D printing to integrate several technologies in a wind turbine blade tip, while reducing the levelized cost of electricity (LCOE) produced. The design integration is demonstrated for a 200‐kW–scale turbine with 13‐m blades, with the outer 15% of the blade replaced with a 3D‐printed design. Aerodynamic performance is enhanced without increasing swept area through inclusion of a winglet and surface texturing, both challenging for traditional manufacturing. Longevity and durability are improved through integrated lightning and leading edge erosion protection. Increased power, reduced repair frequency, and ease of repair through blade modularity all contribute to reduced LCOE. The analysis is also extended to modern MW‐scale designs to estimate the impact of the technology at scale, demonstrating the potential to reduce LCOE significantly for modern onshore turbines, with even higher potential savings offshore.

Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods

Sheep breeding is one of the most important economic activities in Ahar City, Iran. However, due to traditional production techniques, livestock farmers face the problem of low productivity. To address this issue, traditional breeds can be replaced with improved and high-yielding ones; in the first stage, this requires the acceptance of these new sheep breeds by the region’s ranchers. This research aimed to evaluate the attitudes of the livestock breeders of Ahar City towards the improved breeds of sheep and the influential factors. We collected data through in-person interviews using a simple random sampling method, surveying 100 sheep breeders in Ahar. The breeders were categorized into three groups based on their attitudes towards improved breeds: negative, indifferent, and positive. Next, we employed data mining-based methods, including multilayer perceptron neural networks, random forest, and random tree algorithms. These helped identify essential variables affecting ranchers’ attitudes. The results showed that several factors contribute to the ranchers’ philosophy, with the number of sheep sold in the past year and the total sheep ownership being the most significant ones. Comparing statistical evaluation criteria, we found that the random tree algorithm outperformed other methods in predicting and classifying livestock farmers, achieving a prediction accuracy rate of 86% for a sample of 100 farmers. Based on our findings, promoting training courses and raising awareness about the benefits of breeding new sheep breeds, along with providing facilities and credits based on economic conditions, can foster a positive attitude among herders. Increasing the number of sheep owned and improving marketing strategies can further enhance this positive outlook.