Development Of Strategies Research Articles

Public participation in rural areas supported by regional governments in the context of sustainable rural development: The case of Poland

Abstract The processes involved in the sustainable development goals (SDGs) localization, sustainable rural development (SRD), and the use of public participation to support the achievement of the SDGs have gained importance in recent years. The aim of this article is to analyze the solution created by regional governments in Poland to combine these issues. This paper utilizes a qualitative case study-based approach. Firstly, the analysis of the development strategies of 11 Polish regions was carried out. Further, the analyses of the grant process allowed one to determine the SDG targets, which are associated with individual thematic areas of financing and with specific tasks proposed for implementation by the residents. It may be concluded that the analyzed program targets largely corresponded to the selected SDG targets. Such programs may be used as a tool for supporting the bottom-up diagnosis procedure, in the scope of desired activities supporting the achievement of the SDGs.

The research on high efficiency water injection development of carbonate rock reservoir in the middle east

More and more attention has been paid to the waterflood development of carbonate reservoir in the Middle East with continuous expansion of the scale of carbonate reservoir development. Strong non-homogeneity of carbonate reservoirs results in serious conflicts between injection and production, causing low degree of water-driven control in the well network, and low degree of vertical mobilization. This article takes the main reservoir of an oil field in the Middle East region as an example, combining geological evaluation, dynamic analysis, and reservoir development strategies to study the effectiveness of water injection development in carbonate reservoirs. It shows that there is a correlation between pore type, oil-water relative permeability, and development method in the development of carbonate reservoirs. For reservoirs with matrix pores and micropores, water injection should be strengthened in the later stage of development; for reservoirs with dissolved pores and coarse pores, the iso-permeability point is relatively high, and the later development should focus on balanced water injection. Three different waterflooding models for formation development are designed to verify the feasibility of fine waterflooding schemes. The main differences are that one set of well patterns is combined injection and production, and three sets of well patterns are layered system waterflooding. The results show that the development effect in layered system waterflooding is the best. The daily production can be increased by about 16%, the cumulative oil production can be increased by about 8%, and the recovery factor can be increased by about 3%. Eventually, the stable oil and water control of carbonate reservoir can be realized.

Impact of Management Development Strategy on Excellence Competition Using Performance as an Intervening Variable of the Private University under the LLDIKTI IX Area

This study aims to examine management development strategies for the excellence of private higher education in LLDIKTI IX. The sample in this study was 389 out of 17,589 lecturers working in 328 private universities in the LLDIKTI IX area. The statistical tools used for partial least square analysis with the Structural Equation Method and descriptive statistics. It was found that Development Academic, Curriculum Development, Support Career, and Development Education Have a significant impact on the Performance of Lecturers while Expansion of Education and Developing Competence have no significant impact. Development of Academics, Support Career, and Development of Education Have a significant impact and the Performance of Lecturers' Excellence Competition, while Expansion of Education, Curriculum Development, and Developing Competence have no significant impact on the Excellence competition in private universities in the LLDIKTI IX area.

The DPSIR Model-Based Sustainability Assessment of Urban Water Resources: A Comparative Study of Zhuhai and Macao

Based on the driving force-pressure-state-impact-response (DPSIR) model, 19 indicators were selected to construct a comparison between Zhuhai and Macao, two adjacent cities at the estuary of the Pearl River in China, which have different development models and water resource sustainable development strategies. Factors that may affect the sustainability of water resources were screened and placed according to the relationships of the five subsystems in the DPSIR model, establishing a sustainable evaluation model for water resources in the two cities. The results analyzed by Principal Component Analysis and Entropy methods showed that (1) Zhuhai City was greatly affected by the driving force, while Macao was greatly affected by the state system from 2012 to 2021. (2) From the trend changes, it can be seen that, in recent years, the water resources of the two cities have been moving towards sustainable development, and the management and protection of water resources have achieved remarkable results. From the evaluation results, it can be seen that implementing urban water-saving activities, strengthening the proportion of environmental water conservancy, public measures in public investment, upgrading sewage treatment machinery to improve sewage treatment rates, and other measures can effectively improve the current situation of water resources in both regions. In the future, the Zhuhai and Macao cities may continue to face a series of water resource pressures brought on by socio-economic developments. Therefore, an active adjustment of the development of the measurement of controlling wastewater discharge and saving water resources was proposed, adhering to the direction of sustainable development, and ensuring the benign development of socio-economic conditions and the ecological environment. This study can provide data to support regional water resource security and policy formulation with different political systems.

Optimizing Spatial Layout of Campsites for Self-Driving Tours in Xinjiang: A Study Based on Online Travel Blog Data

Within the economic and cultural context of Xinjiang, the tourism industry has rapidly developed as a strategic pillar of the national economy, with the self-driving tour market emerging prominently. However, the uneven spatial layout and insufficient service facilities of self-driving camps limit their development potential. This study aims to enhance the attractiveness of tourism in Xinjiang and improve the visitor service experience by constructing an evaluation system for the layout of self-driving camps based on online travel blog data, utilizing methods such as literature review, surveys, ArcGIS spatial analysis, and web text analysis. The Delphi method and entropy weight method were applied to determine the weights of the influencing factors. The findings reveal spatial imbalances in the layout of Xinjiang’s self-driving camps and propose eight preferred scenic areas for camp location. This study also suggests sustainable development strategies. These insights and recommendations aim to optimize the layout of self-driving camps, enhance the tourism experience, and promote the sustainable development of Xinjiang’s tourism industry.

Analysis of medical impoverishment and its influencing factors among China's rural near-poor, 2016–2020

ObjectiveThis study investigates the determinants of medical impoverishment among China's rural near-poor, aiming to enhance public health services and establish preventative and monitoring systems.MethodsUsing China Family Panel Studies and World Bank methods, we categorized rural populations and calculated their 2020 Poverty Incidence (PI) and Poverty Gap (PG), with impoverishing health expenditures (IHE) as the primary indicator. We analyzed the data from 2016 to 2020 using a conditional fixed-effects multinomial logit model and 2020 logistic regression to identify factors influencing medical impoverishment risk.Results(1) In 2020, the near-poor in China faced a PI of 16.65% post-health expenditures, 8.63 times greater than the non-poor's PI of 1.93%. The near-poor's Average Poverty Gap (APG) was CNY 1,920.67, notably surpassing the non-poor's figure of CNY 485.58. Health expenses disproportionately affected low-income groups, with the near-poor more prone to medical impoverishment. (2) Disparities in medical impoverishment between different economic household statuses were significant (P < 0.001), with the near-poor being particularly vulnerable. (3) For rural near-poor households in China, those with over six members faced a lower risk of medical impoverishment compared to those with three or fewer. Unmarried individuals had a 7.1% reduced risk of medical impoverishment relative to married/cohabiting counterparts. Unemployment was associated with a 9% increased risk. A better self-rated health status was linked to a lower probability of IHE, with the “very healthy” reporting a 25.8% lower risk than those “unhealthy.” Chronic disease sufferers in the near-poor and non-poor categories were at an increased risk of 12 and 1.4%, respectively. Other surveyed factors, including migrant status, age, insurance type, gender, educational level, and recent smoking or drinking, were not statistically significant (P > 0.05).ConclusionRural near-poor in China are much more susceptible to medical impoverishment, influenced by specific socio-economic factors. The findings advocate for policy enhancements and health system reforms to mitigate health poverty. Further research should extend to urban areas for comprehensive health poverty strategy development.

Regional development through industrial tourism: a literature review

This article contributes to a conceptual clarification and an understanding of how industrial tourism research has evolved. It is based on a literature review of scientific research produced over the past 25 years, focusing on its relation to regional development. The analysis was based on 51 scientific articles retrieved from the Scopus database. The growing interest in this theme, which is transversal to several research areas, is evident, adopting, in most cases, a qualitative methodology of case studies. As a promoter of regional development, industrial tourism has positive aspects, such as economic, social, and ecological benefits, among others, but also some constraints, such as excessive commercialization and loss of authenticity of the places. Thus, this work also contributes to identifying this product's impacts and development strategies in the territories.

The promotion of Shanghai’s position and function in the global container shipping network

ABSTRACT Shanghai’s container throughput has ranked first worldwide for 13 consecutive years beginning in 2010, indicating that Shanghai has built an international shipping centre capable of allocating resources for global shipping factors. This study considers global container shipping and shipping service networks as research objects to examine the node status and connection directions of Shanghai in these two networks. It also identifies the comparative advantages and weaknesses of Shanghai and proposes countermeasures and suggestions. The results show that Shanghai ranks high in the global container shipping network and is a sub-centre of the Busan system. Shanghai performs well in the mid-to-low-end shipping service industry in the shipping service network; however, a clear gap exists in the high-end service industry between Shanghai and European port cities. Thus, Shanghai should vigorously implement an international development strategy, actively promote a coordinated development strategy between ports, and integrate the construction of the shipping centre with that of financial and technological innovation centres.

Pelatihan Manajemen Usaha Mikro melalui Strategi SWOT pada Koperasi Simpan Pinjam dan Pembiayaan Syariah di Kota Padang

This community service aims to enhance the capacity of KSPPS BMT Batuang Taba Nan XX in optimizing capital and micro-business management through the Strengths, Weaknesses, Opportunities, and Threats (SWOT) strategy. The implementation method of this community service utilized training and mentoring for 13 partners, culminating in assisting partners in formulating and selecting strategies using SWOT analysis techniques. The results of this community service showed that (1) there had been an improvement in partners' understanding of the urgency of strategic development for cooperatives in the future. (2) successfully increased partners' knowledge and competence in the fundamentals of cooperatives. (3) an increase in partners' abilities and competencies in formulating cooperative development strategies, including successfully formulating a development strategy focused on KSPPS BMT Batuang Taba Nan XX.

Eminent Antimicrobial Peptide Resistance in Zymomonas mobilis: A Novel Advantage of Intrinsically Uncoupled Energetics

Relative to several model bacteria, the ethanologenic bacterium Zymomonas mobilis is shown here to have elevated resistance to exogenous antimicrobial peptides (AMPs)—with regard to both peptide bulk concentration in the medium and the numbers of peptide molecules per cell. By monitoring the integration of AMPs in the bacterial cell membrane and observing the resulting effect on membrane energy coupling, it is concluded that the membranotropic effects of the tested AMPs in Z. mobilis and in Escherichia coli are comparable. The advantage of Z. mobilis over E. coli apparently results from its uncoupled mode of energy metabolism that, in contrast to E. coli, does not rely on oxidative phosphorylation, and hence, is less vulnerable to the disruption of its energy-coupling membrane by AMPs. It is concluded that the high resistance to antimicrobial peptides (AMPs) observed in Z. mobilis not only proves crucial for its survival in its natural environment but also offers a promising platform for AMP production and sheds light on potential strategies for novel resistance development in clinical settings.

Assessment of the Dynamics of Structural Changes in the Socio-Economic Environment and Their Typology in the Context of a Statistical Approach

The purpose of the study is to substantiate the documentation for assessing the dynamics of structural changes in the socio-economic environment and their typology. The relevance of the study is related to the problems of reflecting the socio-economic environment, which affect the efficiency of economic activity. To address these issues, many regions of the country have adopted regional development strategies for the period up to 2030, which correspond to the national development goals of the Russian Federation. Various approaches of scientists to determining the essence and significance of the socio-economic environment, which is defined as a set of conditions and factors that influence all sectors of the economy, are studied.Methods: structural, index, comparative estimates and methodology of the system of national accounts.Results: the article uses a digital meter as a reproduction of the population and gross regional product (GRP), which objectively reflect the structural changes and typologies of the regions. GRP is calculated by types of economic activity, at the stages of: production, income generation and final consumption of households 2012-2021. Typologies of the Ural regions have been developed according to the following criteria: specialization of the economy, the position of the region in production, by types of primary income and final consumption of households per capita.Conclusion: the advantage of the statistical approach of studying the assessment of the dynamics of structural changes in the socio-economic environment and their typology allows us to get a more objective idea of the prevailing trends and the state of the regional economy. The results obtained made it possible to formulate a methodological basis for future scientific research in the field of structural changes in the meso-environment and socio-economic behavior of the population. They can also be used as a methodological basis for the development of public policy measures and strategies for sustainable development of territories in the future.

Integrating Omics Approaches for Climate-Resilient Crops: A Comprehensive Review

Climate change is a looming threat to global agriculture, impacting temperature, rainfall patterns, pest dynamics, and soil quality. These challenges transcend numerous crops vital for global food security. Drought, soil acidity, and nutrient fluctuations induced by climate change impede crop productivity, necessitating the development of breeding strategies to produce climate-resilient varieties. This review delves into the integration of omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, to bolster breeding programs across diverse crops. By harnessing high-throughput technologies, researchers gain insights into the genetic and molecular mechanisms underlying traits such as stress resistance, yield, and disease tolerance. The cultivation of elite cultivars with enhanced stress tolerance is paramount for sustainable agriculture in the face of climate change. Various breeding approaches, encompassing functional genomics and mutagenomics, are explored alongside the application of genome editing tools like CRISPR/Cas9 and TALEN for targeted trait enhancement. Through the integration of multi-omics data, novel genetic targets are unearthed, facilitating the development of crop varieties resilient to climate-induced stressors beyond maize. This review underscores the significance of multi-omics in crop breeding and highlights strides made toward climate-resilient crop production. Understanding crop responses to abiotic stresses induced by climate change is imperative for the development of resilient varieties. The integration of modern genetics into classical breeding methods aims to cultivate stress-resistant cultivars, mitigating food security risks. Multi-omics approaches play pivotal roles in unraveling crop performance and stress tolerance mechanisms under diverse environmental conditions. Moving forward, the integration of multi-omics approaches will pinpoint candidate genes and pathways, enabling precision breeding to enhance crop performance amidst changing climates. These endeavors will propel the advancement of climate-resilient crops, safeguarding global food security in the face of climate change's challenges.

HPV16-miRNAs exert oncogenic effects through enhancers in human cervical cancer

BackgroundCervical cancer is a human papillomavirus (HPV)-related disease. HPV type 16 (HPV16), which is the predominant cause of cervical cancer, can encode miRNAs (HPV16-miRNAs). However, the role of HPV16-miRNAs in the pathogenesis of cervical cancer remains unclear.MethodsHuman cervical cancer cell lines SiHa (HPV16-positive) and C33A (HPV-negative), and cervical cancer tissues were collected to investigate the expression levels of two HPV16-miRNAs (HPV16-miR-H1 and HPV16-miR-H6). The overexpression and knockdown of HPV16-miR-H1 and HPV16-miR-H6 were performed using the lentiviral vector system and miRNA inhibitors, respectively. RNA-sequencing (RNA-seq) analysis and H3K27ac chromatin immunoprecipitation and sequencing (CHIP-seq) experiments were utilized to explore the roles of HPV16-miR-H1 and HPV16-miR-H6 facilitated by enhancers. CCK8, EdU, transwell, and wound healing assays were performed to verify the effects of HPV16-miR-H1 and HPV16-miR-H6 on cell proliferation and migration.ResultsHPV16-miR-H1 and HPV16-miR-H6 were highly expressed in both SiHa cells and tissue samples from HPV16-positive cervical cancer patients. RNA-seq analysis showed that HPV16-miR-H1 and HPV16-miR-H6 induced the upregulation of numerous tumor progression-associated genes. H3K27ac CHIP-seq experiments further revealed that HPV16-miR-H1 and HPV16-miR-H6 modulated the expression of critical genes by regulating their enhancer activity. The functional study demonstrated that HPV16-miR-H1 and HPV16-miR-H6 increased the migratory capacity of SiHa cells.ConclusionsOur data shed light on the role of HPV16-encoded miRNAs in cervical cancer, particularly emphasizing their involvement in the miRNA-enhancer-target gene system. This novel regulatory mechanism of HPV16-miRNAs provides new insights and approaches for the development of therapeutic strategies by targeting HPV16-positive cervical cancer.

Tuning Structure and Properties of a Ferromagnetic Organic Semiconductor via a Magnetic Field-Modified Reduction Process

The development of novel synthesis and assembly strategies is critical to achieving a ferromagnetic organic semiconductor with high Curie temperature. In this study, we report a high magnetic field (HMF)-modified solvothermal approach for the reduction in neutral perylene diimide (PDI) into the dianion species to prepare the PDI magnets comprising radical anions after subsequent oxidation processes. The PDI materials, assembled from the dianion solution by an HMF-modified reduction, exhibit a smaller crystallite size and an enlarged distance of the π-π stacking in the PDI aggregates. Furthermore, the PDI magnets obtained from the process under a 9T field reveal weakened ferromagnetism and the rapid degradation of electrical conductivity compared to those prepared without a magnetic field. Based on spectral and structural characterizations, such performance deterioration originates from the enhanced instability of the radical anions exposed to air, as well as the decreased crystallinity for the radical PDIs synthesized from the HMF-modified reduction process. This work demonstrates that magnetic fields offer an effective way in the material synthesis process to manipulate the structure and magnetic properties of the radical-based organic magnets.

Combinatorial Metabolic Engineering for Improving Betulinic Acid Biosynthesis in Saccharomyces cerevisiae.

Betulinic acid (BA) is a lupane-type triterpenoid with potent anticancer and anti-HIV activities. Its great potential in clinical applications necessitates the development of an efficient strategy for BA synthesis. This study attempted to achieve efficient BA biosynthesis in Saccharomyces cerevisiae using systematic metabolic engineering strategies. First, a de novo BA biosynthesis pathway in S. cerevisiae was constructed, which yielded a titer of 14.01 ± 0.21 mg/L. Then, by enhancing the BA synthesis pathway and dynamic inhibition of the competitive pathway, a greater proportion of the metabolic flow was directed toward BA synthesis, achieving a titer of 88.07 ± 5.83 mg/L. Next, acetyl-CoA and NADPH supply was enhanced, which increased the BA titer to 166.43 ± 1.83 mg/L. Finally, another BA synthesis pathway in the peroxisome was constructed. Dual regulation of the peroxisome and cytoplasmic metabolism increased the BA titer to 210.88 ± 4.76 mg/L. Following fed-batch fermentation process modification, the BA titer reached 682.29 ± 8.16 mg/L. Overall, this work offers a guide for building microbial cell factories that are capable of producing terpenoids with efficiency.

Tumour necrosis factor α regulates the miR-27a-3p-Sfrp1 axis in a mouse model of osteoporosis.

Osteoporosis is a metabolic bone disease that involves gradual loss of bone density and mass, thus resulting in increased fragility and risk of fracture. Inflammatory cytokines, such as tumour necrosis factor α (TNF-α), inhibit osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs), and several microRNAs are implicated in osteoporosis development. This study aimed to explore the correlation between TNF-α treatment and miR-27a-3p expression in BMSC osteogenesis and further understand their roles in osteoporosis. An osteoporosis animal model was established using ovariectomized (OVX) mice. Compared with Sham mice, the OVX mice had a significantly elevated level of serum TNF-α and decreased level of bone miR-27a-3p, and in vitro TNF-α treatment inhibited miR-27a-3p expression in BMSCs. In addition, miR-27a-3p promoted osteogenic differentiation of mouse BMSCs in vitro, as evidenced by alkaline phosphatase staining and Alizarin Red-S staining, as well as enhanced expression of the osteogenic markers Runx2 and Osterix. Subsequent bioinformatics analysis combined with experimental validation identified secreted frizzled-related protein 1 (Sfrp1) as a downstream target of miR-27a-3p. Sfrp1 overexpression significantly inhibited the osteogenic differentiation of BMSCs in vitro and additional TNF-α treatment augmented this inhibition. Moreover, Sfrp1 overexpression abrogated the promotive effect of miR-27a-3p on the osteogenic differentiation of BMSCs. Furthermore, the miR-27a-3p-Sfrp1 axis was found to exert its regulatory function in BMSC osteogenic differentiation via regulating Wnt3a-β-catenin signalling. In summary, this study revealed that TNF-α regulated a novel miR-27a-3p-Sfrp1 axis in osteogenic differentiation of BMSCs. The data provide new insights into the development of novel therapeutic strategies for osteoporosis.

Formation of a Digital Economy Model in the Kyrgyz Republic

The article discusses the issues of the digital economy model of the Kyrgyz Republic, based on the economic and legal framework of information relations aimed at the development of digital processes. National legislation must have legal mechanisms capable of regulating information relations in the field of digital transformation of the economy. The construction of a modern digital infrastructure should contribute to the development of the country’s digital economy and provide communication with global information data, which will contribute to digital transformation at the level of modern developed infrastructure. The experience of creating and directing the digital transformation of the economy of the Kyrgyz Republic was studied, based on the development and adoption of national programs and strategies that should be aimed at developing an index for measuring the digital economy, including displaying indicators and tools for assessing the digital development of the Kyrgyz Republic. It has been determined that the digital economy should be built on a developed information infrastructure with a mandatory process of modernization of all sectors of the economy. Proposals were made to further improve the direction of development of the digital economy in the near future.

The mirror effect in online survey data: Evidence and implications for marketing theory and strategy

AbstractThis research reveals the presence, in online survey data, of a key pattern documented in psychology lab research: the Mirror Effect. The Mirror Effect occurs when unfamiliar stimuli are unexpectedly recognized as accurately as familiar stimuli, or more accurately. Using a set of familiar and unfamiliar words (as determined by lexical frequency), we first report that we can robustly replicate psychology lab research in an online survey, detecting the Mirror Effect. We then apply the same analytical approach to surveying consumer recognition of everyday brands (supermarkets, banks and car brands). We find that unfamiliar brands can be recognized with the same level of accuracy as familiar brands, and this effect is stronger than age and gender memory biases present in the data. However, we detect a boundary condition for branded apps, which are extremely unfamiliar brands competing in highly fragmented marketplaces, so very few get downloaded or used. For these digital brands, we find a Concordant Effect, as most respondents find it difficult to recognize highly unfamiliar branded apps (i.e., those with fewer than 5000 downloads). The Mirror Effect re‐emerges for highly experienced app users. These results demonstrate the implications of a generalizable empirical pattern from cognitive psychology for branding and advertising theory. The outcomes of this research also translate into practical guidelines for brand performance measurement via online surveys, mitigating recognition memory bias for the development of marketing strategies based on more accurate interpretation of empirical evidence.

Readsynth: short-read simulation for consideration of composition-biases in reduced metagenome sequencing approaches

BackgroundThe application of reduced metagenomic sequencing approaches holds promise as a middle ground between targeted amplicon sequencing and whole metagenome sequencing approaches but has not been widely adopted as a technique. A major barrier to adoption is the lack of read simulation software built to handle characteristic features of these novel approaches. Reduced metagenomic sequencing (RMS) produces unique patterns of fragmentation per genome that are sensitive to restriction enzyme choice, and the non-uniform size selection of these fragments may introduce novel challenges to taxonomic assignment as well as relative abundance estimates.ResultsThrough the development and application of simulation software, readsynth, we compare simulated metagenomic sequencing libraries with existing RMS data to assess the influence of multiple library preparation and sequencing steps on downstream analytical results. Based on read depth per position, readsynth achieved 0.79 Pearson’s correlation and 0.94 Spearman’s correlation to these benchmarks. Application of a novel estimation approach, fixed length taxonomic ratios, improved quantification accuracy of simulated human gut microbial communities when compared to estimates of mean or median coverage.ConclusionsWe investigate the possible strengths and weaknesses of applying the RMS technique to profiling microbial communities via simulations with readsynth. The choice of restriction enzymes and size selection steps in library prep are non-trivial decisions that bias downstream profiling and quantification. The simulations investigated in this study illustrate the possible limits of preparing metagenomic libraries with a reduced representation sequencing approach, but also allow for the development of strategies for producing and handling the sequence data produced by this promising application.

The impact of ICT on social workers' well-being: a mixed methods research

PurposeThis study aims to investigate the impact of Information and Communication Technology (ICT) on the well-being of Tunisian social workers.Design/methodology/approachResources (JD-R) theory. A questionnaire was administered to 162 Tunisian social workers, and statistical analysis and hypothesis testing were conducted using SPSS and SmartPLS software.FindingsThe study found that ICT has a substantial positive influence on social workers' well-being. Specifically, ICT was found to increase social workers' job resources, which in turn led to decreased job demands, increased burnout and increased work engagement.Originality/valueThis study addresses prior research gaps by exploring ICT's interplay with well-being within the Tunisian context. Its outcomes offer valuable insights for policymakers, guiding the development of strategies to address challenges and harness ICT's potential in social work.