High Levels Of Productivity Research Articles

Design For Development of PAI Curriculum in Madrasah Views from Science and Technology

The aim of this research is to analyze the views of science and technology in curriculum development design. The research method used is the library research method with books and journals as sources of information. The results of this research are: According to a review of the basis of science and technology, the design of PAI curriculum development in madrasah for each component must include science and technology in it, including objectives, materials, methods and evaluation. Then, in including science and technology in the development of the PAI curriculum in madrasah, there are several things that must be taken into account, including: a) must be effectively and dynamically balanced with human resource development, conducting research, and developing science and technology infrastructure; b) aimed at improving the nation’s quality of life and prosperity; c) must be in harmony with religious values, socio-economic conditions and culture at a higher level of productivity and development; and d) must have the ability to solve specific problems.

Agricultural economic complexity and regional inequalities: a new approach using census data from Brazil

ABSTRACT The paper presents an original application of economic complexity to the agricultural sector aiming to determine its suitability to measure and depict regional structural inequalities across Brazilian regions. Using census data, we calculate agricultural complexity indexes for products (PCI-Agro) and regions (ECI-Agro) and the agricultural product space. We show that higher PCI-Agro is associated with higher levels of productivity, education, income and human development. Also, we found that ECI-Agro is associated with higher productivity in agriculture. The econometric evidence points to an inverted ‘U’-shape curve relationship between ECI-Agro and agricultural productivity, which has significant policy implications.

Influence of average daily gain of heifers on the age of first insemination

The purpose of this study is to establish the influence of average daily gain (ADG) of heifers at different periods of their development on the age of 1st insemination (A1ins) at 12, 13, 14, 15, 16, 17, 18 months and older and milk yield of first-calving cows for 305 days of lactation according to a sample (n=1289) formed from the Seleсs database of one of the breeding plants in the Leningrad region for breeding the Ayrshire breed of dairy cattle. On average for the sample, the correlation coefficient of milk yield with A1ins indicates a negative relationship between these two characteristics (-0.218), a positive correlation of milk yield with live weight of 1st insemination LW1ins (+0.101) with a negative connection with ADG (-0.110). It was revealed that in all age groups of heifers there is a decrease in ADG at the age of 2 months, and the intensity of further development of heifers depends on ADG at the age of 3, 4, 5 months, at a level of over 800 g, contributes to the achievement of A1ins from 12 to 14 months. At the same time ADG at the age of 9—12 months should be at least 800 g. However, even with ADG 800—900 g at the age of 3—5 months, but when these indicators decrease at 9—12 months below 800 g, A1ins increases to 15—16 months. Low ADG at the age of 3—5 months and at the level of 600 - 700 g at the age of 9—12 months increases A1ins to 17 months and older. Thus, for an earlier A1ins and a high level of productivity in the 1st lactation, one should pay attention to the development of heifers at the age of 3—5 months, maintaining the ADG at a high level (more than 800 g) and avoid low weight gain at 9—12 months (less than 800 g).

China–US scientific collaboration on sustainable development amidst geopolitical tensions

This study aims to investigate whether growing geopolitical competition has affected international collaboration in sustainable development research, with a particular focus on structural changes in bilateral research collaboration between China and the United States. Three datasets have been created and compared using bibliographic information provided by the Web of Science core collection: before the Trump administration, during the Trump administration, and during the Biden administration. The results indicate that countries worldwide have conducted extensive research in sustainable development, and the United States, China, and the United Kingdom have produced the most publications, demonstrating a high level of scientific research productivity. Concerning the collaborative patterns of sustainable development research, China and the United States are each other’s largest collaborative partners. The intensity of scientific research collaboration between the two countries has not declined due to geopolitical tensions. Conversely, the intensity of scientific research between the two countries is still increasing. The keyword thematic explorations reveal that research on China–US collaboration has focused differently across the three time periods and that despite differences in research bias, efforts to contribute to advancing the achievement of the SDGs have been consistent. It is possible that geopolitical considerations have heightened the urgency of policy research and led to its incorporation into research centers.

The Impact Analysis of the Digital Economy on Green Total Factor Productivity in the Yangtze River Delta Urban Agglomeration

The deep integration of digitalization and greening is a driving force for promoting high-quality economic development. The rapid development of the digital economy empowers green innovation, and the Yangtze River Delta urban agglomeration, as the most developed region in China's economy, carries an important mission for the future economic and social development of China. Clarifying the differences and influencing factors of digital economy and green total factor productivity (GTFP) among different cities within the Yangtze River Delta urban agglomeration is of great significance for formulating regional and national green development policies, achieving regional coordinated development, and environmental sustainability. This paper takes the impact of digital economy development on changes in GTFP as the starting point. Through the analysis of innovation efficiency, a theoretical model is established to reveal the internal mechanism by which digital economy development promotes GTFP. The research results show that digital economy development significantly promotes the improvement of GTFP, with greater impacts on large and medium-sized cities, regions with higher productivity levels, and regions with a more advanced industrial structure. Additionally, the internal mechanism test results indicate that digital economy development enhances GTFP by improving regional innovation efficiency and resource allocation efficiency.

Protected fats in feeding of highly productive cows

Highly productive animals experience energy deficiency at the beginning of lactation up to 30 % of their energy needs, since cows spend more energy on milk production than they intake with feed. Therefore, to maintain a high level of productivity and minimize live weight loss of cows, it is necessary to increase the energy supply of rations. For these purposes, along with the use of high-quality feed and a decrease in the proportion of starchy grain concentrates in the ration structure, various types of fats are used in feeding of cows, since their energy value is more than 2 times higher than proteins and carbohydrates. The purpose of the research was to study the eff ectiveness of using protected vegetable fats in feeding of highly productive lactating cows. Comprehensive studies were carried out to investigate the effectiveness of using new protected vegetable fats: hydrogenated (Ultra Feed F) and fractionated (Extra Feed F) in feeding of highly productive lactating cows and an assessment of the effectiveness of their use was given. It was recommended as a result of the research that in order to ensure milk productivity of cows at a level of more than 7000 kg of milk (7000–9000 kg), livestock farms should ensure the concentration of metabolic energy in the dry matter of the ration of at least 10.7 MJ/kg, with possible compensation for the deficit in the level of metabolic energy up to 11.0 MJ/kg with protected vegetable fats of domestic production (fractionated Extra Feed F and hydrogenated Ultra Feed F) in the amount of 300 g/head/day during the period of 21–120 days of lactation.

Knowledge Management in Local Governments: A Boost or a Brake on Productivity?

This study analyzes the impact of knowledge management on the productivity of a local government, to determine whether it acts as a boost or a brake on institutional performance. Using a quantitative approach, a non-experimental design and an explanatory level, 119 municipal workers were evaluated using validated and reliable instruments. The dimensions of knowledge detection, capture and development were examined, applying Spearman correlation and ordinal regression. The results revealed a positive and significant correlation between knowledge management and productivity (Rho = 0.810, p = 0.000), indicating that effective management is associated with higher levels of productivity. The regression model showed that knowledge management explains 66.2% of the variability in productivity, reflecting an important influence. However, areas for improvement were identified, especially in knowledge detection, where significant levels of inefficiency and regularity were perceived. It was concluded that knowledge management in the local government studied acts both as a boost and a brake on productivity. It is recommended to implement strategies that strengthen detection, capture and knowledge development practices, in order to optimize operational efficiency and offer higher quality services to the population.

Identifying Factors Mediating the Carnivore Richness–Productivity Relationship Across a Precipitation‐Driven Ecotone

ABSTRACTAimPrimary productivity is an important mechanism influencing the species richness of animal taxa such as mammals. However, the factors that mediate the relationship between carnivore species richness, for example, and productivity are not well understood. We examined whether the relationship between carnivore species richness and primary productivity followed a hump‐shaped relationship and explored potential pathways by which productivity influences carnivore communities.LocationWestern Great Basin, USA.MethodsWe deployed a camera‐trap grid across a strong precipitation—and the corresponding productivity—gradient and estimated carnivore species richness using a novel application of a multisession community occupancy model. To quantify the relationship between carnivore species richness and productivity, we included the linear and quadratic effects of average annual precipitation as covariates on carnivore species richness. We fit additional community models linking carnivore species richness to vegetation and land cover variables to identify factors that mediate the relationship between carnivore richness and productivity.ResultsThe linear effect of precipitation on carnivore richness was positive and the quadratic effect was negative, supporting the hump‐shaped relationship where richness declines at the highest levels of productivity. Similarly, carnivore species richness followed a quadratic relationship with vegetation height along the productivity gradient. The relationship between carnivore species richness and proportion tree cover was positive, with limited evidence that open vegetation types in the surrounding landscape increased site‐level richness.Main ConclusionsIn addition to supporting the notion that primary productivity has a strong and nonlinear influence on local‐scale carnivore species richness, our results suggest that vegetation structure may be an important mediator of this relationship. Although future changes in precipitation and productivity due to climate change are uncertain, our results indicate that targeting areas of intermediate productivity and vegetation height, such as woodlands, may be key for conserving species‐rich carnivore communities along productivity gradients.

Development and evaluation of a new winter bread wheat variety Rubin Dona according to the main economically valuable traits

Relevance. The development of new varieties and their rapid introduction into production remains the most effective resource for improving productivity, energy saving, profitability and competitiveness. The purpose of the current study was to develop the winter bread wheat variety Rubin Dona and evaluate its productivity and basic adaptive, technological, and baking properties.Methods. The current study was carried out in the fields of research crop rotation of the department of winter wheat breeding and seed production in 2018–2023. The variety was developed by the method of intravarietal hybridization using the productive and adaptive variety Nakhodka as a maternal form and the high-quality strong wheat variety Donskaya Yubileynaya as a paternal form and a subsequent individual selection.Results. There has been established that the variety Rubin Dona has a high and stable level of productivity. For 6 years of competitive variety testing the mean productivity of the variety sown in green manure fallow was 9.45 t/ha with the minimum of 6.77 t/ha and the maximum of 11.80 t/ha, compared to the standard variety Ermak with 8.80, 6.06 and 11.21 t/ha, respectively. The variety Rubin Dona sown after various forecrops also demonstrates a reliable and stable productivity increase to the standard, 0.67 t/ha after maize for grain, 0.79 t/ha after peas, 0.62 t/ha after sunflower, 0.77 t/ha after winter wheat. There has been revealed that the advantage of the new variety, which provides high and stable yields, is its high environmental resistance to regional soil and climatic conditions such as drought, low temperatures, spring frosts, diseases, and lodging. The variety has lower indicators of the coefficient of variation, factor of stability (FS), yield range (d) with a high level of realization of productivity potential in comparison with both the standard variety Ermak and the highly productive variety Razdolie, which has a contrasting periods of heading and ripening. The technological and baking properties of the new variety are of high quality and meet the requirements of GOST-9353-2016 referring to the first class. Since 2023, by decision of the State Commission of the Russian Federation for testing and protection of breeding achievements, the variety has been included in the State List of the varieties approved for use in the Central Blackearth (5) and Lower Volga (8) regions.

WORKERS JOB SATISFACTION IN TEXTILE FACTORY: BIBLIOMETRIC ANALYSIS

Textile industry represents one of the most competitive industries. Consequently, the management tend to create pressures to their workers to pace with the high productivity level. This constant pressure given to the workers may possibly affect their job satisfaction. Hence, this study focuses on the bibliometric analysis in mapping the trend, conceptual structure, and characteristic of job satisfaction of textile factory workers. The data collection process results in 147 papers out of the total of 241 extracted papers. According to the bibliometric analysis, research in this field is mainly led by the USA and France. The co-occurrence analysis shows Four major theme: Study on job satisfaction, worker’s health assessment, cultural influence on textile factory workers, and review on absenteeism. The results indicate that workers were more concerned about the security of their current position rather than overall employment security, and this factor affected their job satisfaction and well-being.

Synthesis of β-ionone from xylose and lignocellulosic hydrolysate in genetically engineered oleaginous yeast Yarrowia lipolytica.

β-ionone, an apocarotenoid derived from a C40 terpenoid has an intense, woody smell and a low odor threshold that has been widely used in as an ingredient in food and cosmetics. Yarrowia lipolytica is a promising host for β-ionone production because of its oleaginous nature, its ability to produce high levels of acetyl-CoA (an important precursor for terpenoids), and the availability of synthetic biology tools to engineer the organism. In this study, β-carotene-producing Y. lipolytica strain XK17 was employed for β-ionone biosynthesis. First, we explored the effect of different sources of carotenoid cleavage dioxygenase (CCD) genes on β-ionone production. A high-yielding strain rUinO-D14 with 122mg/L of β-ionone was obtained by screening promoters combined with rDNA mediated multi-round iterative transformations to optimize the expression of the CCD gene of Osmanthus fragrans. Second, to further develop a high-level production strain for β-ionone, we optimized key genes in the mevalonate pathway by multi-round iterative transformations mediated by non-homologous end joining, combined with a protein tagging strategy. Finally, the introduction of a heterologous oxidoreductase pathway enabled the engineered Y. lipolytica strain to use xylose as a sole carbon source and produce β-ionone. In addition, the potential for use of lignocellulosic hydrolysate as the carbon source for β-ionone production showed that the NHA-A31 strain had a high β-ionone productivity level. This study demonstrates that engineered Y. lipolytica can be used for the efficient, green and sustainable production of β-ionone.

Agricultural sustainability assessment in Fars province of Iran through the lens of the elimination multi-criteria decision-making method

The main objective of the present research was to assess agricultural sustainability through the lens of the Elimination Method. Iranian wheat farmers in Fars province comprised the population of the study. Smapling table of Krejcie and Morgan was applied to estimate the statistically plausible sample size. A stratified sampling approach was used for selecting sampling randomly. The research instrument included a structured questionnaire. A panel of experts approved the face and content validities. Average Variance Extracted (AVE), Composite Reliability (CR), and items correlations were used to confirm the convergent validity of the constructs. The average shared squared variance (ASV) and the maximum shared squared variance (MSV) criteria were applied to examine the divergent validity of constructs. Employing the Elimination Method to assess agricultural sustainability in four counties of Fars revealed that Marvdasht is the most sustainable area for the development of wheat cultivation. Because it was able to fulfill 16 indicators out of 23 indicators of agricultural sustainability. The high level of productivity and efficiency of the wheat crop in this region is one of the main reasons for the relatively high sustainability of wheat production practices. Furthermore, the results demonstrated that Darab was the second most suitable region for developing wheat production. Based on the Elimination Method, the region was able to fulfill six indicators out of 23 agricultural sustainability assessment indicators. According to the results of ranking alternatives using the Elimination Method, the two counties of Kazeroun and Eghlid could not acceptably fulfill indicators of agricultural sustainability. In other words, it seems that these two regions are not suitable for the development of wheat production in Fars province. In the end, it was recommended that the Elimination Method can be a useful approach for urgent decision-making and agricultural managers and decision-makers in Fars province should focus more intensively on the development of wheat production in Marvdasht.

A cell-free system for functional studies of small membrane proteins

Numerous small proteins have been discovered across all domains of life, among which many are hydrophobic and predicted to localize to the cell membrane. Based on a few that are well-studied, small membrane proteins are regulators involved in various biological processes, such as cell signaling, nutrient transport, drug resistance, and stress response. However, the function of most identified small membrane proteins remains elusive. Their small size and hydrophobicity make protein production challenging, hindering function discovery. Here, we combined a cell-free system with lipid sponge droplets and synthesized small membrane proteins in vitro. Lipid sponge droplets contain a dense network of lipid bilayers, which accommodates and extracts newly synthesized small membrane proteins from the aqueous surroundings. Using small bacterial membrane proteins MgrB, SafA, and AcrZ as proof of principle, we showed that the in vitro produced membrane proteins were functionally active, for example, modulating the activity of their target kinase as expected. The cell-free system produced small membrane proteins, including one from human, up to micromolar concentrations, indicating its high level of versatility and productivity. Furthermore, AcrZ produced in this system was used successfully for in vitro co-immunoprecipitations to identify interaction partners. This work presents a robust alternative approach for producing small membrane proteins, which opens a door to their function discovery in different domains of life.

Производительность труда в российской Арктике: структурная динамика и регионально-отраслевые тенденции

Labor productivity is a key indicator of economic development and public well-being. This study assesses the structural shifts, regional dynamics, and sectoral trends in the domain of labor productivity in the Russian Arctic from 2011 to 2021, identifying aggregated economic sectors. The findings reveal that labor productivity levels in the Russian Arctic exceed the national average, primarily due to the resource-based nature of regional economies. However, a major issue is the persistently high level of interregional differentiation in labor productivity within the Arctic. The study demonstrates that an initially high level of labor productivity does not necessarily ensure long-term growth. An analysis of structural shifts in labor productivity over the past decade indicates a shift towards the market sector of the Arctic economy, evidenced by an increased share in gross regional product (GRP) and a decrease in time worked. Within the market sector, several trends are observed: the leading role of the extractive industry is maintained due to its expanding share in GRP; the role of agriculture is growing, reflected in a decreased share of hours worked; and the importance of other market sector branches, particularly transport, communication, and electric power, is diminishing as their share of total hours worked increases. The observed decline in labor productivity within the non-market sector suggests the potential for negative social consequences for the Arctic population. An analysis of labor productivity growth rates indicates that the leading sectors in terms of growth are mining, finance and business services, construction, and trade. These sectors can be considered sources of economic growth in the Arctic. Interregional differences in labor productivity growth rates within the same sector of the Arctic economy suggest the influence of regional factors, highlighting the potential for discovering unique reserves of productivity growth in each region.

Optimization of human capital in the agrarian sphere: goals, principles and methods

Sufficient provision of agricultural enterprises with labor resources, their territorial and structural balance, rational use, high level of labor productivity are the key directions of effective functioning of agro-industrial complex, growth of production volumes and increase of its efficiency. Purpose - to analyze the criteria of human capital optimization in the agrarian sphere, to identify existing problems and to determine promising directions. Methods - the study used quantitative and qualitative analysis methods, including the collection and processing of statistical data, questionnaire survey of employees of the agrarian sector, as well as interviews with farm managers. Using the correlation and regression method, the influence of the studied factors on the optimization of labor activity was substantiated. Results - the article identifies the main issues of agricultural staffing, which consist in the decline in the professional qualification level of specialists, low staffing levels, outflow of able-bodied population from rural areas, loss of prestige of agricultural professions. Conclusions - this study emphasizes the need for a comprehensive approach to the management of labor potential in agro-industrial production of the republic. The introduction of advanced training programs, improvement of working conditions and social infrastructure is the basis for sustainable development of the industry. It is also recommended to strengthen state support and stimulate the attraction of capital of domestic and foreign private investors and investment funds in rural regions to ensure stable activity of agricultural enterprises. It shows further prospects for increasing human resources to ensure the competitiveness of domestic agricultural producers and as the main driving element in the establishment of innovation economy and the expansion of globalization processes.

Role of document management system for business processes optimization

The automation of work processes and seamless integration with various business services highlight the essential role of digital document management systems (DMS) in enhancing organizational flexibility, productivity, and adaptability. DMS serve as centralized repositories that streamline, automate, and interconnect business processes, thereby facilitating effective document management. The integration of DMS with Enterprise Resource Planning (ERP) systems provides a comprehensive solution for optimizing business workflows, addressing the needs for both operational efficiency and strategic management. The research paper delineates a business model for the life cycle management of electronic documents and records, focusing on the integration of processes such as document creation, management, approval, and secure distribution. This integrated approach enhances organizational structure, optimizes processes, and bolsters security, leading to significant cost reductions and increased work efficiency. The model emphasizes the importance of streamlined and automated document workflows in reducing manual errors and operational bottlenecks. Key features of DMS include advanced mechanisms for digitizing physical documents, ensuring that all data is captured accurately and efficiently. Centralized storage with version control allows for easy retrieval and management of documents, ensuring that the latest versions are always accessible. Additionally, advanced search and accessibility features enable quick and efficient document retrieval, which is crucial for maintaining high productivity levels. The study underscores the pivotal role of DMS in modern enterprises, advocating their implementation as a strategic move to drive operational excellence and competitive advantage. By integrating DMS with ERP systems, businesses can achieve a cohesive and efficient operational environment that supports both day-to-day activities and long-term strategic goals. This comprehensive approach to document management not only optimizes efficiency and reduces errors but also enhances the overall agility and responsiveness of the organization in a rapidly changing economic environment.

The Palaeo-Productivity Signals Chronicled from the Buxa Formation, North-East Lesser Himalaya, India

ABSTRACT The Mesoproterozoic era is known for its relatively stable ecological conditions and limited atmospheric oxygen. Despite this understanding, uncertainties remain about how ocean chemistry evolved during this time and its potential impact on the development of complex eukaryotic life forms. In response to these uncertainties; we have undertaken a study to investigate indicators of ancient productivity within the Buxa Formation of the Lesser Himalaya in Sikkim. By analyzing the isotopic values ( δ13 C and δ 18Ο values) as well as Rare Earth Element (REE) composition, a total n = 151 carbonate samples were investigated across three sections of the Buxa Formation: Jorethang to Mangalbare, Legship to Naya Bazar, and Reshi to Mangalbare, Sikkim. The study’s findings show that there was minimal variation in δ13C values, consistently ranging between –0.5 and +2.5 ‰ VPDB. This pattern suggests a relatively steady and moderately high level of productivity during that time. This productivity might have been influenced by a temporary increase in atmospheric oxygen levels. Additionally, we have also reviewed and examined stromatolites as part of the investigation.

Evaluation of oil transesterification in a packed‐bed reactor containing lipase immobilized in starch–alginate jet cutting beads

AbstractThere has been a growing interest in ecofriendly enzymatic processes. However, enzyme solubility limits the application of many biocatalysts in continuous systems, requiring the development of cost‐effective strategies for enzyme immobilization. Based on this premise, this study investigated the application of lipase immobilized in starch–alginate beads for oil transesterification in a tubular reactor. An economical derivative was produced by immobilizing Eversa Transform 2.0 in 50:50 (w/w) starch–alginate beads using the jet‐cutting technique. The biocatalyst had a particle size of about 500 μm and activity of 138.67 ± 18.53 U g−1. X‐ray photoelectron spectroscopy showed nitrogen content ranging from 6.38% to 7.29%, with uniform distribution of lipase throughout the beads. Nitrogen isotherms were characteristic of mesoporous materials, with an average pore diameter of 48.09 Å and low surface area (0.69 m2 g−1). A face‐centered central composite design was used to study soybean oil transesterification. In the best four runs, the process achieved a mean triglyceride conversion of 45%. High ester productivity levels (2.05 × 10−2% ester g−1 biocatalyst min−1 or 1.5 × 10−4% ester U−1 min−1) were obtained. Biocatalyst reuse led to a twofold increase in ester concentration (14.57% vs 7.7%). These findings confirm the successful development of a low‐cost biocatalyst suitable for use in continuous reactions.

An analysis of Chilean universities based on their research outputs and funded projects (2008-2022)

Objective. We analyzed the research output of Chilean universities with the primary objective of guiding leadership teams in formulating and prioritizing their strategic goals. Design/Methodology/Approach. The research was descriptive and documentary in nature, involving a systematic, comprehensive, transparent, and detailed review of articles published in various indexed scientific journals. Between 2008 and 2022, we searched the Scopus database at each institution to obtain information on its scientific production. Results/Discussion. We have demonstrated the presence of a select group of universities with exceptionally high levels of scientific productivity, as indicated by significant performance metrics. The analysis of university productivity shows that, in absolute terms, the most outstanding institutions are the Universidad de La Frontera, the Universidad de Tarapacá, and the Universidad de Chile. This study highlights the efficiency and performance of these academic institutions in terms of their scientific output. Only 12 institutions manage to exceed the national average in terms of productivity, while 19 universities perform at an alarmingly low level. Conclusion. This research provides valuable insights into institutions that achieve commendable results but remain underrepresented in rankings due to their smaller size. It underscores the importance of valuing outcomes over raw numbers, providing a more nuanced understanding of scientific productivity.

Primary productivity recovery and shallow-water oxygenation during the Sturtian deglaciation in South China

The Cryogenian Period (ca. 720–635 Ma) marks a key node in Earth's history, characterized by two global glaciations when the paleo-tropical regions were covered by glaciers, namely the Sturtian and Marinoan Snowball Earth events. Within the Cryogenian, the evolution of primary producers persisted, evidenced by the worldwide discovery of diverse microfossils and the proliferation of algae in the interglacial oceans. The Cryogenian radiation of algae facilitated the emergence and evolution of early eumetazoan animals. However, the paleoredox reconstruction of the interglacial Cryogenian presents more challenges. The open oceans were predominantly and permanently ferruginous throughout the Cryogenian Period, and persistently euxinic conditions developed in restricted basins, such as the Nanhua Basin. Some of the studies suggested a possible fully‑oxygenated interval in the aftermath of the Sturtian glaciation. Therefore, a knowledge gap lies between the biological prosperity and severe habitability in the interglacial oceans. In order to fill this gap, we report a newly discovered interglacial deposition – the Datangpo Formation – of shallow water depth from the Guitouwan section, Shennongjia area, South China. A combination of iron speciation, total organic matter (TOC), and pyrite sulfur isotopes (δ34Spy) analyses are conducted, along with numerical simulations, for reconstructions of paleoredox conditions and paleoproductivity level. Additionally, we collected Fe chemistry, TOC, and pyrite sulfur data from multiple successions of the Datangpo Formation in South China to reconstruct the paleoredox landscape. The spatial TOC comparison suggests that the interglacial interval is marked by a TOC increase at the base, and the Guitouwan succession represents the early deposition during the wake of Sturtian deglaciation. Fe speciation suggests locally (dys)oxic-ferruginous condition in the Shennongjia area, while the δ34Spy systematics indicate a transition from ferruginous to euxinic condition and a sharp increase in primary productivity during the Sturtian deglaciation. With respect to the high δ34Spy values, the observed discrepancy suggests that the iron proxy might be inapplicable during fast environmental changes, especially during the deglaciation episodes. The comparison of Fe chemistry and pyrite sulfur isotopes between different water-depth settings informs a redox-stratified ocean in the Nanhua Basin. The newly discovered interglacial deposition fills the blank in understanding the shallow-water oxygenation in the Sturtian glacial aftermath, recording the transition from (dys)oxic-ferruginous to ferruginous-euxinic and from low to high productivity levels. These findings shed new light on the interpretation of Fe chemistry and δ34Spy in the geological past, and provide a novel perspective on investigating productivity levels.