Production Goals Research Articles

북한이탈주민 조기 정착을 위한 제도 개선 방안

North Korea under the socialist system has a structure in which the type and site of work are determined according to the central policy rather than employment other than individual ability in choosing jobs for its residents. Since it is important for North Korea, which is pursuing a planned economy, to achieve production goals set in accordance with each economic sector's plan, groups take precedence over individual abilities at the work site, and there are few changes in the working environment, such as turnover or relocation of work, so efforts or activities to equip individuals with competitiveness in their activities are of little significance. Most of the North Korean defectors who entered South Korea were subordinated in such a working environment at the time of their repatriation. South Korea is making great efforts to increase the competitiveness of individuals seeking employment because economic activities are determined according to the principle of marketism. North Korean defectors who were accustomed to the socialist planned economy system had jobs, but it is difficult to settle smoothly in that employment for adaptation to South Korean society is mainly achieved through competition with the general public. With 34,000 North Korean defectors now, their successful settlement in South Korean society as a priming water for the unification of the Korean Peninsula is drawing attention as a very important issue. This is because economic independence and income are achieved through employment, and the settlement of economic stability leads to stable participation in South Korean society. The economic activities of North Korean defectors will reduce the loss of social costs for them in South Korean society as a whole, which will further benefit the South Korean economy, and serve as a cornerstone for future unification of the two Koreas. Therefore, this study aims to suggest the possibility of obtaining compulsory employment-type qualifications in consideration of educational background and career in North Korea as an institutional improvement plan for early settlement based on economic stability in South Korea.

Enhanced biotechnological process for antivenom production using Quality by Design methodology

Snakebites envenoming are a global public health problem that largely affects economically vulnerable populations. The primary recognized treatment involves hyperimmune serum, consisting of sterile and heterologous immunoglobulin solutions targeting specific antigens. One established production method in Vital Brazil Institute involves antibody digestion by pepsin, fractionation with ammonium sulfate salt, and thermocoagulation, yielding 30-40% and requiring a 5-day duration. This study aims to assess a novel production method centered on recovering the (Fab’)2 fraction using caprylic acid, intending to implement a more efficient technological process. A new methodology was developed, defining digestion conditions (37 °C, pH 3.2; 2.5 g L-1 of pepsin over 120 minutes at 150 rpm) and fractionation parameters (37 °C, pH 5.8; 2% caprylic acid over 60 minutes at 250 rpm). These conditions were established through the application of Quality by Design, supported by a critical risk analysis. This method reduced the usage of raw materials, process time, and labor cost per hour while maintaining yield with greater purity. These modifications were promising, resulting in higher purity and lower manufacturing costs, thereby expanding the prospect of achieving a more robust production process with a safer, optimized product. This allows meeting production goals and exploring new opportunities in foreign markets.

Public Procurement Policies to Foster Innovation Development

Government and public sector demand from the perspective of demand-push policies as a tool of technology and innovation policy have been discussed in detail in the literature. Policymakers have always considered advantages such as promoting local production goals, reducing imports and dependence upon foreign countries, and meeting domestic needs with technology development and innovation. In Iran such policies have been designed and implemented and can be classified into two categories: horizontal and vertical policies. Horizontal policies refer to policy programs that regulate the general government market and the public sector. In vertical policies, however, government demand in a particular product area is regulated. In order to analyze the different types of application of these policies in Iran, several cases of horizontal and vertical policies have been studied and compared in this article. From the horizontal policies, the law of maximum use of domestic power and Foreign Finance Credit have been selected. Among the vertical policies, the policy of 10 basic oil products and the experience of the Iran-Lab-Expo have been examined. Attempts have been made to analyze and compare the above policies based on the general pattern of government programs to stimulate government demand for technology and innovation. Finally, the lessons learned from Iran’s policy experiences in the field of public sector demand orientation as a tool of technology and innovation policy are described.

Regional suitability assessment for different tillage practices in Northeast China: A machine learning aided meta-analysis

Northeast China is known as the “Corn Belt” of China. Long-term conventional tillage has led to severe soil degradation, threatening the food production and China’s food security. Regenerative farming practices such as no-tillage and deep ploughing have proven effective in protecting soil and promoting sustainable agriculture. However, the effects of no-tillage and deep ploughing on corn yield are hotly debated, and their regional suitability in Northeast China remains unclear. As a solution, a regional machine learning aided meta-analysis was performed to assess the effects of field management practices, climate conditions, and soil properties on crop productivity of no-tillage and deep ploughing versus conventional tillage, and to evaluate the probability of yield increase under no-tillage and deep ploughing across Northeast China. The results showed that the overall effect of no-tillage and deep ploughing significantly increased corn yield by 5.1% and 6.4%, respectively, compared to conventional tillage. Climate conditions had the greatest importance on crop yield under no-tillage, while management practices were the most explainable variable under deep ploughing. Data driven models reveled that the probabilities of yield increase under no-tillage and deep ploughing had large geographical differences. No-tillage performed better in warm arid regions with alkaline soil and low initial soil organic matter. In cold and humid areas with neutral soil and high soil organic matter content, deep ploughing had the greatest possibility of increasing yield. Our study revealed the effects and importance of factors affecting crop productivity of no-tillage and deep ploughing, which helps to optimize these practices. Furthermore, our results provide a reference for agricultural managers to select appropriate tillage practices that simultaneously contribute to food production and sustainable agricultural goals in specific regions of Northeast China.

The Use of Immobilised Enzymes for Lipid and Dairy Processing and Their Waste Products: A Review of Current Progress

The use of edible oils and fats in dairy products is becoming increasingly important in the food industry because of their complementary functional properties. Most of these products are produced using food-grade enzymes as processing aids because processes involving enzymes are considered mild and environmentally friendly for regulatory purposes. The poor stability and recovery of enzymes in their native state limit their performance, and to enhance their activity, stability, and reusability, enzymes are often immobilised—a process that involves attaching them to a solid support. Additionally, immobilisation enables enzymes to selectively target specific substrates or products, making them highly efficient. These features have led to the increased use of immobilised enzymes in dairy and lipid processing and enzymes have been used to produce a broad range of products such as whey protein concentrates and isolates, peptide–lipid conjugates, lipid concentrates, structured lipids, and human milk fat substitutes. Therefore, this article reviews the current progress on different enzyme preparations and their use in lipid and dairy processing. It also summarises opportunities in enzyme-catalysed valorisation of dairy and lipid waste streams with the ultimate goals of sustainable food production and reductions in waste.

Yield gap analysis and the relative importance of factors explaining yield variability in paddy fields

Closing the yield gap of strategic crops can facilitate achieving sustainable solutions to alleviate hunger, ensure food security, and enhance nutrition. This study aimed to quantify factors affecting rice yield gap in northern Iran using experimental and survey data on yields and management practices. The CERES-Rice model, calibrated with data (2011, 2016, 2019) from two regions, was used to estimate potential yield (Yp) of different rice cultivars. Yield gaps were calculated as the difference between economic yield potential and the average yield attained by farmers. The calibration process showed that cultivar coefficients varied across rice varieties. The simulated yields (2012–2021) showed that the mean potential yields were 13362 kg ha−1 and 8818 kg ha−1 for the late and early-maturing cultivars, respectively. High temperature was the most important yield defining factor across the rice growing areas. The yield gap was 3751 kg ha−1 and 2830 kg ha−1 in the late- and early-maturing cultivars, respectively. Nitrogen fertilizer rate, number of fertilizer applications, phosphorus fertilizer rate, transplanting date, potassium fertilizer rate, and seedling age were the top factors influencing the yield gap. Among the management factors, rice fertilizer management explained about 65% of the yield variability. Together, transplanting date and seedling age explained 15.3% of the variability in rice production, while pest, disease, and weed damage accounted for 9.6%. Breaking down the yield gap into affecting factors allows growers to improve the production system by providing the best crop management according to their facilities and capabilities. This approach is essential for optimizing agricultural productivity and achieving sustainable food production goals.

Responding to misrepresentation: sample pack creation, branding and distribution

ABSTRACT This article documents the creation and distribution of a new sample pack, Instruments INDIA, as an intervention against systemic orientalist practices observable within the marketing, branding and production of non-Western instrument sample packs. This intervention draws upon Edward Said’s model of Orientalism and Stuart Hall’s theories of representation, fortifying an interrogation of practices that misrepresent diverse sonic content, musicians and cultures in negative ways. The research brings into focus the influence digital samplers and early sample library CDs had in determining technical configurations and misrepresentation tendencies found within paratextual elements of contemporary sample packs. The article joins forces with a leading sample pack distributor, Loopmasters, to cultivate change via new policy documents and good practice principles. Attending to problematic representation issues at the start of the music production chain offers a strategy to scaffold and promote positive change throughout the production process and into other connected music industry areas, where influential language and imagery align sample content with music production goals and aspirations. The article offers a first-hand account of sample pack development in collaboration with musicians of Indian musical instruments, which provide a case study to better understand and inform more ethical commercial practices in the future.

Student Live Behaviour Monitoring in Online Classes Using Artificial Intelligence

The investigators have made many attempts to grab the interest of college students in their studies. The majority of these approximations are based mostly on qualitative review and lack quantitative examination. Thus, the goal of this artistic production is to bridge the gap between quantitative and subjective techniques in order to foster understudy dedication. Therefore, this study regularly uses machine learning techniques (K-manner and SVM) to classify college students into attentive and inattentive RGB-D sensor statistics. The National Academy of Engineering has conducted extensive research on this subject, and the study's conclusions can be utilized to enhance and improve instructional strategies for educators at all levels. One of the main objectives of instructors' job is the capacity to apply tailored learning approaches. This perspective makes use of contraption learning computations for instructive reasons. Keywords: Student Level, Behaviour, Monitoring, Online Class, Artificial Intelligence

From 3D Point Cloud to an Intelligent Model Set for Cultural Heritage Conservation

Cultural heritage conservation demands interdisciplinary and complex documentation and analysis while facing increasing pressure to adopt sustainable and productive practices. This paper bridges these gaps by proposing a methodology and a set of requirements for Building Information Modeling (BIM) models aligned with European directives for sustainability and productivity in the Architecture, Engineering, and Construction (AEC) sector. Leveraging 3D scanning and intelligent models, we establish information needs specific to conservation, encompassing material properties, historical data, and decay analysis. Interoperability, compatibility with advanced analytical tools, and open-source formats are emphasized for seamless data integration and accessibility. We further introduce two use cases for BIM-enabled heritage conservation, illustrating the application of our proposed methodology in real-world scenarios. These cases exemplify how BIM models cater to the specific needs of cultural heritage sites, from their initial condition assessment to ongoing preservation efforts. Through these examples, we demonstrate the adaptability of BIM technology in capturing and managing the complex information associated with heritage conservation, including structural details, material characteristics, and historical significance. Our work highlights the potential of BIM to revolutionize heritage conservation practices, offering a digital backbone for documentation, analysis, and management that aligns with sustainability and productivity goals.

Impact of drying technique on umbu‐cajá pulp with the addition of probiotic culture: Optimization, cell viability, physicochemical, and functional properties

AbstractThis study aimed to assess the effects of spouted bed (SB) drying and freeze‐drying (FD) on the properties of probiotic umbu‐cajá pulp. The strain Bifidobacterium animalis ssp. lactis was employed to obtain this pulp. Initially, the study was conducted with two separate experimental designs, one for SB and another for FD, encompassing variables such as inlet temperature and concentrations of drying adjuvants (maltodextrin and inulin). This approach aimed to identify the most favorable conditions in terms of yield and cell viability. Both drying methods proved effective in preserving probiotic cells, with comparable viable cell counts (12 Log CFU g−1) and process yield of up to 30.68%. Additionally, FD exhibited advantages in preserving and increasing levels of bioactive compounds, including phenolics and carotenoids, in the final product. In contrast, SB drying stood out for retaining carotenoids and exhibiting lower degradation of ascorbic acid. In summary, this study demonstrated that both SB drying and FD are promising approaches in producing powders from probiotic umbu‐cajá pulp. However, the selection between the methods should be guided by specific production goals, considering the desired characteristics of the final product.

Beneficial endophytic fungi improve the yield and quality of Salvia miltiorrhiza by performing different ecological functions.

Endophytic fungi can enhance the growth and synthesis of secondary metabolites in medicinal plants. Salvia miltiorrhiza Bunge is frequently employed for treating cardiovascular and cerebrovascular ailments, with the primary bioactive components being salvianolic acid and tanshinone. However, their levels in cultivated S. miltiorrhiza are inferior to that of the wild herbs, so the production of high-quality medicinal herbs is sharply declining. Consequently, the utilization of beneficial endophytic fungi to improve the yield and quality of S. miltiorrhiza holds great significance for the cultivation of medicinal plants. In this study, nine non-pathogenic, endophytic fungal strains were introduced into sterile S. miltiorrhiza seedlings and cultivated both in vitro and in situ (the greenhouse). The effects of these strains on the growth indices, C and N metabolism, antioxidant activity, photosynthesis, and content of bioactive ingredients in S. miltiorrhiza were then evaluated. The results showed that the different genera, species, or strains of endophytic fungi regulated the growth and metabolism of S. miltiorrhiza in unique ways. These endophytic fungi primarily exerted their growth-promoting effects by increasing the net photosynthetic rate, intercellular CO2 concentration, and the activities of sucrose synthase, sucrose phosphate synthase, nitrate reductase, and glutamine synthetase. They also enhanced the adaptability and resistance to environmental stresses by improving the synthesis of osmoregulatory compounds and the activity of antioxidant enzymes. However, their regulatory effects on the growth and development of S. miltiorrhiza were affected by environmental changes. Moreover, the strains that significantly promoted the synthesis and accumulation of phenolic acids inhibited the accumulation of tanshinones components, and vice versa. The endophytic fungal strains Penicillium meloforme DS8, Berkeleyomyces basicola DS10, and Acremonium sclerotigenum DS12 enhanced the bioaccumulation of tanshinones. Fusarium solani DS16 elevated the rosmarinic acid content and yields in S. miltiorrhiza. The strain Penicillium javanicum DS5 improved the contents of dihydrotanshinone, salvianolic acid B, and rosmarinic acid. The strains P. meloforme DS8 and B. basicola DS10 improved resistance. Various endophytic fungi affected the quality and yield of S. miltiorrhiza by regulating different physiological and metabolic pathways. This study also provides a novel and effective method to maximize the effects of beneficial endophytic fungi by selecting specific strains to design microbial communities based on the different ecological functions of endophytic fungi under varying environments and for specific production goals.

A qualitative inquiry into sustainable transitions and business models in Icelandic energy-related companies

In the face of escalating environmental and social crises, the potential for a sustainable transition within the current sociotechnical system has emerged through innovation and alternative technologies. Despite offering diverse perspectives, sustainable transitions remain uncertain in terms of their nature and pathways. The research aims to bridge theory and reality through a case study to investigate the potential for sector-specific businesses to contribute to a sustainable transition within the current sociotechnical system. This study focuses on five Icelandic energy-related companies and two governing bodies within the energy value chain, and examines the sustainability of companies' business models and their contributions to different futures, and contextualizes the results within economic theory. The study identified two alternative economic paradigms, Green Growth (GG) and Post Growth (PG), as potential frameworks for achieving sustainable futures. The findings suggest Icelandic energy-related companies align with GG and predominantly prioritize energy efficiency, transparency enhancement, and environmental impact reduction, reflecting contributions to medium-term tactical level changes within the sociotechnical system. Challenges arise in fully implementing PG principles due to the complexities of reconciling energy production, consumption, and growth goals. The findings underscore the pivotal role of energy-related companies in sustainable transitions but emphasize the need for policy interventions to guide macroeconomic activities towards environmental and social wellbeing. The theoretical contribution of this study is the identification of alternative economic paradigms and construction of a sustainable business model for energy related companies. The practical contribution of this study is the framework used in evaluating the business model of companies in the energy sector which can provide practical understandings of the implementation of sustainable business models and a company's sustainability performance.

Go Green in Neuroradiology: towards reducing the environmental impact of its practice.

Raising public awareness about the relevance of supporting sustainable practices is required owing to the phenomena of global warming caused by the rising production of greenhouse gases. The healthcare sector generates a relevant proportion of the total carbon emissions in developed countries, and radiology is estimated to be a major contributor to this carbon footprint. Neuroradiology markedly contributes to this negative environmental effect, as this radiological subspecialty generates a high proportion of diagnostic and interventional imaging procedures, the majority of them requiring high energy-intensive equipment. Therefore, neuroradiologists and neuroradiological departments are especially responsible for implementing decisions and initiatives able to reduce the unfavourable environmental effects of their activities, by focusing on four strategic pillars-reducing energy, water, and helium use; properly recycling and/or disposing of waste and residues (including contrast media); encouraging environmentally friendly behaviour; and reducing the effects of ionizing radiation on the environment. The purpose of this article is to alert neuroradiologists about their environmental responsibilities and to analyse the most productive strategic axes, goals, and lines of action that contribute to reducing the environmental impact associated with their professional activities.

Enhancing Sustainable Crop Production through Innovations in Precision Agriculture Technologies

Precision agriculture technologies provide innovative tools to optimize crop production while minimizing environmental impacts. This review examines recent advances in precision ag systems to enhance sustainable agriculture. Key innovations include: remote and proximal crop sensing techniques leveraging hyperspectral imaging, thermal imaging, and Lidar to assess crop health and stress status; variable rate technologies like targeted sprayers and precision planters to reduce input waste; data analytics and decision support systems that integrate multi-source data streams to guide site-specific intervention; robotics and automation for precision field operations; and advanced breeding techniques and genomic tools enabling development of stress resilient, high yielding varieties. Adoption barriers, future technology trajectories, and priority research needs are discussed to further advance precision solutions that support productivity, efficiency, and sustainability goals.

Archimedes, Leverage, and Modern Healthcare

Healthcare faces simultaneous declining reimbursements and rising overhead costs. As a result, physicians’ incomes are losing ground. The challenge becomes figuring out how to be both more efficient and smarter at achieving productivity goals. Multiple ways are available to add leverage in your practice to improve the throughput of providing care to our patients. This article discusses the philosophical and financial concept of leverage and recommends eight examples of how small actions can lead to profound improvements in your practice.

Design of Data Monitoring System for Intelligent Production Line System Based on Digital Twin

<p>This article establishes a digital twin model for automated production lines. By establishing a more complete digital model, it achieves comprehensive reproduction of the production line, and then extracts and maps data from various production modules in the digital twin to ensure real-time data. In the software development phase, data analysis is conducted on the production and processing process to achieve prediction and management of production. Finally, based on the established digital twin, online simulation virtual debugging can be achieved when flexibly changing production goals, thereby saving production cycles and costs. Therefore, the digital twin platform established in this article has practical significance.</p> <p> </p>

Model Praktik Baik Kepala Sekolah dalam Pengembangan Kemampuan Dasar Guru pada Satuan Pendidikan Sekolah Dasar

<p align="center"><em> </em></p><p><em>In carrying out their main duties and functions, school principals still receive critical issues from various circles in the educational ecosystem because they have yet to fully contribute optimally to increasing teacher professionalism. The literature review research aims to identify and analyze several models of good practice implemented by school principals in developing the basic abilities of teachers in elementary school education units. The research findings state that the school principal's good practice model consists of two activities/actions: the Principal as a learning leader and the Principal acting as the creator of the learning environment. The key role of the Principal as a learning leader consists of a servant, role model, expert and instructional leader. Meanwhile, the Principal as the creator of the learning environment is related to his role as a communicator, supporter and manager. These good practices can create a professional, vital teacher profile and construction consisting of passion, vigour, facility, and satisfaction to achieve more productive and competitive learning goals in the educational unit.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: good practice; </em><em>principal’s</em><em>; basic teacher abilities</em></p>

Technical-Economic Diagnosis and Development Prospects of Quail Farming in Burkina Faso

Poultry farming is a livestock sector that encompasses various bird species, with the most well-known in Burkina Faso being chickens and guinea fowl. These two species receive support from development programs as they significantly contribute to the livelihoods of poor populations. Quails have been recently introduced, presenting technical and economic advantages that could contribute to the development of livestock farming. The study aimed to characterize the profile of stakeholders, conduct a techno-economic diagnosis, and suggest development prospects. Thirty-three farming units were surveyed in the cities of Bobo Dioulasso, Ouagadougou, and Orodara. The socio-demographic aspects of quail farmers, zootechnical aspects of quails, and challenges faced were analyzed.On the socio-economic level, the activity is predominantly practiced by young, educated men, exclusively with secondary and higher education. Zootechnically, the animal productions consist of eggs and meat. Quail production goals prioritize egg production, quail chicks (97%), fattening (76%), and breeder farming (48%).The feeding practices are inadequate, as all farmers (100%) were providing quails with feed intended for laying hens or broilers. Breeding quails reach sexual maturity at 6 weeks, with an average of 250 eggs laid per female and a high hatching rate. Quails also exhibit a high level of hardiness, easily adapting to their environment, and a high level of adaptation to climatic factors (85% of farmers).Quail housing exclusively consists of battery cages. Economically, live quail prices range from 1,500 to 3,000 Fcfa for breeders and consumption quails, and from 2,500 to 4,000 Fcfa for a tray of thirty eggs. Income levels varied from 184,470 to 28,642,945 Fcfa from quail sales. The revealed constraints primarily involve marketing, followed by the issue of inadequate feeding.

Determination of Important Agricultural Traits of Some Soybean (Glycine max (L.) Merr.) Genotypes and Adaptation in the Eastern Mediterranean Transition Zone

This research was carried out to determine the yield and agronomic characteristics of some soybean genotypes under main crop conditions in the Eastern Mediterranean Transition Zone in the years 2021-2022. In the research, 13 varieties (Adel, AP-3773, Arısoy, Asya, Atakişi, Atlas-3616, J-112, Lider, Planet, Racer, Sonya, Winchester, Yemsoy) 1 genotype (Yeniköy-9) were used. The experiment was conducted in a randomized block design with three replications. It was determined that the average plant height varied between 64.05 cm (J-112) and 114.25 cm (Winchester). The lowest average first pods height (1.74 cm) was obtained from J-112 variety while the highest value (13.69 cm) was obtained from Yemsoy variety. The lowest number of branches per plant values i.e. 1.83 no. plant-1 and 2.13 no. plant-1 were recorded from J-112 and Planet variety respectively. In the experiment, the number of pods per plant varied between 72.20 pods plant-1 (Arısoy) to 105.61 pods plant-1 (AP-3773). However, the average weight of 100 seeds varied between 15.07 g (Asya) to 22.10 g (Lider). The lowest average protein content (33.58%) was obtained from Yemsoy variety while the highest value (41.50%) was obtained from J-112 variety. It was determined that the average seed yield varied between 379.74 kg da-1 (Arısoy) and 580.73 kg da-1 (Lider). According to the data obtained as a result of the experiment, Lider variety was come front with the highest seed yield (580.73 kg da-1) and, J-112 variety had the high protein content with 41.50%, Planet (21.96 g) and Yeniköy-9 (20.87 g) varieties had the highest 100 seed weight. According to production goals, one of this superior varieties may be prefer to grow in the Eastern Mediterranean Transition Zone.

Unveiling the role of artificial intelligence in influencing enterprise environmental performance: Evidence from China

Motivated by the emerging prospects regarding the integration of artificial intelligence (AI) and cleaner production, we specifically examine the role of AI in affecting enterprises’ environmental performance. Based on a theoretical model and firm-level empirical evidence from China, we reveal that: (1) AI significantly reduces pollution emission intensity and enhances the environmental performance of Chinese enterprises; (2) The key mechanisms driving the effects are the improvement of total factor productivity, the increase in fixed investments dedicated to pollution reduction, and the optimization of factor input structure; (3) These effects are more pronounced in enterprises with stronger environmental restriction, higher factor intensity, and lower financing constraints. As enterprises strive to adopt more sustainable practices, our findings not only showcase how AI becomes a linchpin for achieving cleaner production goals while also serving as a foundation for informed policymaking in the pursuit of environmental responsibility.