Impact Of Changes Research Articles

The Association between Emotional Responses to Climate Change, Antenatal Anxiety and Maternal-Fetal Attachment in Primigravida Women.

To investigate the association between emotional responses to climate change, antenatal anxiety, and maternal-fetal attachment in primigravida women. A multi-site cross-sectional research design study. This study was conducted at four primary health care (PHC) facilities in Damanhur district, El-Behera, from February 2024 to April 2024. Two hundred eighty-five women completed a comprehensive questionnaire that included a Woman's Social and Reproductive Form, The inventory of climate emotions (ICE) scale, The Stirling Antenatal Anxiety Scale (SAAS) and the Maternal-Fetal Attachment Scale (MFAS-HU-20). The study revealed that emotional responses to climate change show strong positive correlations with each other, ranging from 0.689 to 0.840, all significant at p < 0.001 level. Additionally, antenatal anxiety demonstrates substantial positive correlations with emotional responses to climate change, albeit with associations ranging from 0.239 to 0.287, all significant at p < 0.001 level. Moreover, maternal-fetal attachment displays substantial negative correlations with emotional responses to climate change, indicating that as emotional responses to climate change increase, maternal-fetal attachment tends to decrease. The correlations range from -0.263 to -0.426, all significant at p < 0.001. The emotional impact of climate change can adversely affect the bonding process between mother and fetus. Healthcare professionals, including obstetricians, midwives, and mental health counsellors, should integrate climate-related emotional distress into their assessments and interventions. Providing targeted psychological support for expectant mothers. The study's findings highlight the need for nursing to integrate climate-related emotional distress screening into prenatal care and for research to explore long-term effects and intervention effectiveness. In practice, healthcare providers should adopt holistic approaches that combine environmental and psychological support, developing comprehensive guidelines and community-based programs to support pregnant women. The research adhered to that is STROBE. Public contributions by women in community health centers.

Changes in Water Surplus or Deficit and Possible Drivers in the North China Plain During 1961–2022

ABSTRACTIn the North China Plain (NCP), the assessment of water surplus or deficit (WSD), which is calculated as precipitation minus reference evapotranspiration (ET0), holds significant implications for water resource management and agricultural irrigation decision‐making, given the region's long‐standing severe shortage of water resources. However, the magnitude, trend and climatic drivers of WSD remain poorly understood in the NCP. This study analysed the spatial and temporal characteristics of WSD, and quantified the contribution of climatic factors to WSD based on the sensitivity and contribution rate analysis methods with climatic data from 75 meteorological stations. The result showed that: (1) Annual WSD decreased mainly in northeastern NCP and increased significantly in southern NCP during 1961–2022. Annual WSD increased slightly from 1961 to 2022 at a rate of 1.63 mm a−2 mainly due to the more significant decrease (−1.88 mm a−2) in ET0 compared to precipitation (−0.25 mm a−2). (2) In terms of the sensitivity of WSD to climatic factors, relative humidity had the highest sensitivity, followed by net radiation, wind speed, precipitation and average air temperature. (3) Significant declines of wind speed were the most dominant factor affecting WSD variation in most part of NCP during most of a year, and net radiation of four stations in the western high‐elevation regions played the most important role. This study enhances comprehension of the impact of climate change on WSD in the NCP and provides a reference for improving management of agricultural water resources under NCP's evolving climatic conditions.

The Impact of Lifestyle Changes on the Prevalence of Prediabetes and Diabetes in Urban and Rural Indonesia: Results from the 2013 and 2018 Indonesian Basic Health Research (RISKESDAS) Survey

(1) Background: Prediabetes represents reversible glycemic abnormalities between normal glucose regulation and diabetes. Indonesia has a high burden of non-communicable diseases, such as diabetes. This study aims to evaluate the impact of lifestyle changes on prediabetes and diabetes in rural and urban populations. (2) Methods: This is a repeated cross-sectional study, and data were obtained from Basic Health Research (RISKESDAS) in 2013 and 2018. (3) Results: The study found that urban populations who ate &gt;3 days/week of vegetables had a lower proportion of prediabetes and diabetes. Rural populations with 2 days/week of vegetable consumption had a higher risk of prediabetes in 2018. From 2013 to 2018, urban and rural populations consumed excessive amounts of sweet food/drink, salty food, fatty/cholesterol/fried food, and meat/chicken/fish-based food with preservatives. In 2018, urban and rural populations who consumed sweet food/drink more than once daily had a higher risk of prediabetes and diabetes. The prevalence of active physical activity declined in normoglycemic individuals, while it increased in prediabetes and diabetes in urban and rural areas. In 2013, physical activity was a protective factor for prediabetes. (4) Conclusions: Lifestyle changes impacted prediabetes and diabetes prevalence. Further research is needed to promote healthy diets and lifestyle modifications.

Impacts of Land Use and Land Cover Change on Non-Point Source Pollution in the Nyabarongo River Catchment, Rwanda

The Nyabarongo river catchment in Rwanda has experienced significant changes in its land use and land cover (LULC) in recent decades, with profound implications for non-point source pollution. However, there are limited studies on non-point pollution caused by nutrient loss associated with land use and land cover changes in the catchment. This study investigates the spatiotemporal impacts of these changes on water quality considering nitrogen and phosphorus within the catchment from 2000 to 2020 and 2030 as a projection. The SWAT model was used in analysis of hydrological simulations, while the CA–Markov model was used for the future projection of LULC in 2030. The results revealed (1) the important changes in LULC in the study area, where a decrease in forestland was observed with a considerable increase in built-up land, grassland, and cropland; (2) that the R2 and NSE of the TN and TP in the runoff simulation in the catchment were all above 0.70, showing good applicability during calibration and validation periods; (3) that from 2000 to 2020 and looking to the projection in 2030, the simulated monthly average TN and TP levels have progressively increased from 15.36 to 145.71 kg/ha, 2.46 to 15.47 kg/ha, 67.2 to 158.8 kg/ha, and 9.3 to 17.43 kg/ha, respectively; and (4) that the most polluted land use types are agriculture and urban areas, due to increases in human activities as a consequence of population growth in the catchment. Understanding the patterns and drivers of these changes is critical for developing effective policies and practices for sustainable land management and protection of water resources.

Soil microbial biodiversity supports the delivery of multiple ecosystem functions under elevated CO2 and warming

The contribution of the soil microbes to agroecosystem multifunctionality under global change remains poorly understood. Here, based on data from a field experiment involving elevated carbon dioxide (CO2) and warming in a rice-wheat agroecosystem, we found that soil microbes influence the impact of climate change on agroecosystem functions. The stability of food production during the rice season increased under elevated CO2 but decreased under warming, with no significant changes in the wheat season. The interactive influences of elevated CO2 and warming on agroecosystem multifunctionality were found to be minimal. The abundance of soil fungi and nematode was associated with agroecosystem stability during the rice and wheat seasons, respectively. Soil archaeal diversity and bacterial abundance were linked to agroecosystem multifunctionality in the rice and wheat seasons, respectively. Our work proves the positive effects of soil microbes on agroecosystem functions and highlights the implications of maintaining microbial diversity for agroecosystem health under climate change.

Impact of Climate Change on Mental Health Among Vulnerable Groups: A Systematic Literature Review

Objective: This study aims to explore the impact of climate change on mental health among vulnerable groups, including low-income populations, Indigenous communities, children, women, and the elderly, to highlight their unique vulnerabilities and mental health outcomes. This aligns with the United Nations' Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 13 (Climate Action), addressing the need for climate resilience and mental health equity. Theoretical Framework: The research is grounded in social vulnerability theory, emphasizing how structural inequalities exacerbate the impact of climate change on mental health. The framework integrates psychological theories of eco-anxiety and solastalgia, which explain the mental distress caused by environmental changes. Method: A systematic literature review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. This involved a comprehensive search of academic databases, screening studies, and qualitatively synthesizing data from 35 peer-reviewed articles published between 2000 and 2023. Results and Discussion: Findings reveal that climate change exacerbates mental health issues such as anxiety, depression, and PTSD among vulnerable groups due to their limited adaptive capacity and exposure to climate-related hazards. Vulnerable communities, including Indigenous groups and low-income populations, experience heightened psychological impacts such as eco-anxiety and solastalgia. The results underscore the importance of integrating mental health considerations into climate adaptation policies and developing targeted interventions to enhance resilience among these populations. This study also supports global efforts toward achieving SDG 10 (Reduced Inequalities) and SDG 11 (Sustainable Cities and Communities). Research Implication: The study suggests the need for comprehensive and equitable mental health strategies that prioritize vulnerable groups in climate change adaptation planning. Policymakers must consider social equity and community-based approaches to mitigate the mental health impacts of climate change. Originality/Value: This review uniquely addresses the intersection of climate change and mental health within marginalized populations, emphasizing the need for mental health integration in climate adaptation frameworks. The study highlights the underexplored psychological dimensions of climate change, providing valuable insights for developing inclusive and sustainable adaptation strategies. sustainability

Synthesis and self-assembly of perylene-cored poly(amidoamine) dendrimers with poly[2-(dimethylamino)ethyl methacrylate]-modified arms as fluorescent bio-imaging probes and doxorubicin carriers

A poly(amidoamine) (PAMAM) dendrimer is prepared using a divergent method, with perylene-3,4,9,10-tetracarboxylic diimide (PTCDI) as luminescent core. The peripheral amines are modified using α-bromoisobutyryl bromide, allowing the dendrimers to act as macroinitiators for the synthesis of poly[2-(dimethylamino)ethyl methacrylate] (PDMAEMA) through atom transfer radical polymerization (ATRP) with three different degrees of polymerization. The successful synthesis is verified by conducting a range of analyses, including Fourier-transform infrared (FT-IR) spectroscopy, proton nuclear magnetic resonance (1H NMR) spectroscopy, and X-ray diffraction (XRD). Additionally, the impact of changes in solution pH on the self-assembly of dendrimers is explored. Field emission scanning electron microscopy (FE-SEM) and dynamic light scattering (DLS) showed unique morphologies, including spherical micelles and cubic-hexagonal structures, at varying pH levels. The self-assembled dendrimers are utilized to load doxorubicin (DOX) and the drug release kinetics are studied under various conditions. The biocompatibility of the dendrimers is assessed using the MTT assay against SH-SY5Y cells. Additionally, higher dendrimer generations improved the solubility, compatibility, and fluorescent properties of the core. The dendrimers' capacity for cellular uptake and fluorescence imaging is also evaluated using SH-SY5Y cells, demonstrating their effectiveness in live-cell fluorescence imaging.

Impact of land use land cover changes on urban temperature in Jakarta: insights from an urban boundary layer climate model

Urbanization is one of the important drivers of increasing local temperatures. As cities and urban areas evolve, extensive land use and land cover (LULC) changes alter the physical characteristics of surface materials. This modification results in reduced evapotranspiration rates, ultimately contributing to higher surface and air temperatures. This study investigated the impact of urbanization on urban temperature in Jakarta. Urban temperature was simulated for a 20-year time period (1995–2014) by the urban boundary layer climate model UrbClim, using LULC data for both 1995 and 2014. Temperature changes were analysed by assessing the temperature anomaly across different LULC change classes divided into four main classes namely no built-up changes (BB), no green spaces changes (GG), built-up to green spaces (BG), and green spaces to built-up (GB). The study revealed that the conversion of green spaces to built-up areas (GB) had the most significant impact on the increase in air temperature. This was indicated by the mean values of the temperature anomaly of GB of about 0.24°C followed by GG, BB, and BG with the mean values of the temperature anomaly of about 0.20°C, 0.19°C, 0.17°C, respectively. The different temperature anomalies of the LULC change classes indicate that green spaces have an important role in maintaining local climate. Hence, it is important for local government to effectively manage the composition, the quantity, as well as the distribution of green spaces within a city. By looking at temperature anomalies of LULC change classes, the present study provides an alternative approach to many existing methods that provide general information about temperature changes, without specifically analyzing the effects of LULC transformations.

Aging, brain-derived neurotrophic factor, and allergen-induced pulmonary responses in mice.

Asthma in the elderly is being recognized as more severe, resistant to standard therapies, and having greater morbidity. Therefore, it comes important to understand the impact of aging-associated airway structure and function changes towards pathogenesis of asthma in the elderly. Here, airway smooth muscle plays important roles in airway hyperreactivity and structural remodeling. The role of smooth muscle in asthma can be modulated by growth factors (including neurotrophins such as brain-derived neurotrophic factor (BDNF)) and pro-inflammatory senescence factors. In this study, we investigated aging effects on airway hyperreactivity, structural remodeling, inflammation, and senescence in a mouse model of allergic asthma. C57BL/6J wildtype mice or smooth muscle-specific BDNF knockout mice at 4, 18 and 24 months of age were intranasally exposed to mixed allergens (ovalbumin, aspergillus, Alternaria, and house dust mite) over 4 weeks. Assessing lung function by FlexiVent, we found that compared with 4 month old mice, 18 and 24 month old C57BL/6J mice showed decreased airway resistance and increased airway compliance after PBS or MA treatment. Deletion of smooth muscle BDNF blunted airway hyperreactivity in aged mice. Lung histology analysis revealed that aging increased bronchial airway thickness and decreased lung inflammation. Multiplex assays showed that aging largely reduced allergen-induced lung expression of proinflammatory chemokines and cytokines. By immunohistochemistry staining, we found that aging increased bronchial airway expression of senescence markers, including p21, phospho-p53 and phospho-gH2A.X. Our data suggest that aging associated increase of airway senescence in the context of allergen exposure may contribute to asthma pathology in the elderly.

Cross-border supply chain coordination of low-carbon agricultural products under the risk of supply uncertainty.

The purpose of this paper is to discuss how cross-border e-commerce enterprises can promote the sustainable development of the supply chain by optimizing the risk of supply disruption and product quality control mechanism of the cross-border supply chain of low-carbon agricultural products in the face of the problem of uneven quality and inventory shortage that prevails in the supply chain of low-carbon agricultural products under the framework of low-carbon economy. Methods: A two-level supply chain model consisting of a risk-averse cross-border e-commerce enterprise and two risk-neutral overseas suppliers is constructed to compare the optimal strategies and their coordination effects under the centralized and decentralized decision-making modes, and to deeply analyze the supply chain's operation mechanism. Further, the quality cost factor is introduced and an option contract model is designed to quantitatively analyze the impact of different decision-making scenarios and parameter changes on the overall supply chain performance. The results of the study show that under the coordination of option contract, the profit of cross-border e-commerce companies tends to decrease as the risk of supply disruption increases, while the profit of suppliers rises accordingly. Meanwhile, improving the quality of agricultural products can significantly improve the overall profitability of the supply chain. The cost-sharing mechanism is positively related to the profit of cross-border e-commerce companies, but negatively affects the profit of suppliers. In addition, the adjustment of the option price is directly associated with the increase of the specific supplier's profit and the decrease of the cross-border e-commerce enterprise's profit. Conclusion: By constructing and analyzing the option contract model considering the risk of supply disruption, this study effectively reveals the key influencing factors and their interactions in the cross-border supply chain of low-carbon agricultural products, and provides cross-border e-commerce enterprises with specific strategies to achieve coordination of the supply chain contract, improve product quality, and mitigate the risk of supply disruption, and then promote the sustainable development of the supply chain of low-carbon agricultural products.

Multivariate stochastic generation of meteorological data for building simulation through interdependent meteorological processes

In recent years, the uncertainty of weather conditions and the impact of future climate change on building energy assessment has received increasing attention. As an important part of these studies, several types of methods for generating stochastic meteorological data have also been developed. Since solar radiation drops to zero at night, unlike the continuous 24-hour data for elements such as temperature and humidity, this has posed challenges for previous research to fully account for the simultaneity among multiple elements. Therefore, this study proposes a framework for meteorological data generation: First, perform multivariate time series modeling of meteorological data of air temperature, solar radiation and absolute humidity at 12:00 of each day of a typical year based on the S-vine copula method and simulating daily series data at 12:00 for 365 days. Then, based on the probability of change of each element evaluated from the historical meteorological observation data, the daily series data at 12:00 were expanded to 24 h, after which the yearly stochastic weather data were obtained. The analysis of 30 years of stochastic data generated by this method, compared with the original data, reveals that air temperature and solar radiation closely match the original distribution characteristics, except for a minor deviation in the absolute humidity’s kurtosis. Furthermore, the comparison of thermal load distributions for office buildings shows that the original data curve falls within the range of the generated data. This suggests that the generated data includes more information about uncertainty but still keeps the original data’s characteristics.

Harnessing the Link between Climate Change and Traditional Food Preservation Methods: Implications for Global Food Security and Public Health

Climate change is a global issue, which impacts the different geographical zones in different levels. It is also linked to numerous human health issues, which are a concern to human health. The impact of climate change on traditional methods of food preservation in Nigeria and the consequences for food security and health are examined in this research. Information from the Nigerian Meteorological Agency (NIMET) and the National Emergency Management Agency (NEMA) show that average temperatures are increasing and rainfall is decreasing, which are effects of climate change that affect agriculture, water resources, and traditional food preservation methods that are detrimental to public health.Traditional food preservation methods are critical for understanding the link between climate change and food security.This paper uses a case study of Nigeria to examine the effects of climate change on traditional food preservation practices and public health. The research focuses on the shifts in the conventional preservation techniques, the impact of these shifts on nutrition, and policy interventions for enhancing sustainable preservation of food. Climate change indicators such as temperature and rainfall were used as surrogates for climate change, food insecurity such as undernourishment rates were used for food security and nutritional health outcomes such as child stunting and micronutrient malnutrition. The study shows that climate change has a negative effect on food security since it reduces crop yields and enhances post-harvest losses. Sun-drying and smoking are the common preservation techniques that are now less efficient because of high humidity and unpredictable weather. As such, people are experiencing increased incidences of food wastage, nutritional imbalance, and food borne diseases especially with those people in rural regions. Furthermore, the study confirms the relationship between climate change and food insecurity, which has a negative impact on the health of pregnant women and children, especially under five years, and high under-five mortality despite a decrease in child mortality in the last decade.The results provide important regional information relevant to the entire Sub-Saharan Africa and useful to the international community in matters of climate change, food security and health. This study calls for the use of innovation that combines the conventional and contemporary methods of food preservation in order to mitigate the impacts of climate change on food security systems. Furthermore, it underlines the need for the policy interventions that may prevent food borne illness and other diseases. These insights are in line with the United Nations Sustainable Development Goals (UN-SDGs) 2, 3, and 13, namely; Zero Hunger, Good Health and Well-being, and Climate Action, respectively.This research addresses a significant gap in the literature by linking climate change effects with food preservation practices and offering recommendations for improving food system vulnerability to climate change. It provides a clear picture of the prospects and constraints of mitigating climate change impacts on food insecurity and enhancing food security and health in the world.

The spatial correlation of economic institutional change in China and its impact on economic growth: A social network analysis approach.

Economic institutional change is a vital driving force behind the rapid rise of China's economy. However, the incremental approach to economic institutional change has caused unbalanced transformation and economic growth. To this end, we adopted the entropy method to measure the economic institutional change index, and employed social network analysis to reveal its spatial correlation characteristics. We then applied QAP analysis to empirically demonstrate the impact of China's economic institutional change on regional disparities in economic growth. The findings indicated a gradual increase in the level of economic institutions over time and a spatial gradient between the eastern, central, and western regions. Moreover, the spatial correlation network of China's economic institutional change is stable and gradually improving. Nevertheless, the role of provinces in the process of economic institutional change varies: the eastern coastal provinces play a dominant role, the central and western provinces benefit to a lesser extent, and some provinces in northeastern China play a "bridging" and "intermediary" role. Regional differences in China's economic institutional change have widened the regional disparities in China's economic growth, and the impact of each dimension of economic institutions on regional disparities in economic growth is characterized by phases.

A Lane Change Model Considering the Stability of Cooperative Adaptive Cruise Control Platoon Fleet

In this article, lane change models for mixed traffic flow under cooperative adaptive cruise control (CACC) platoon formation are established. The analysis begins by examining the impact of lane changes on traffic flow stability. The influences of various factors such as lane change locations, timing, and the current traffic state on stability are discussed. In this analysis, it is assumed that the lane change location and the entry position in the adjacent lane have already been selected, without considering the specific intention behind the lane change. The speeds of the involved vehicles are adjusted based on an existing lane change model, and various conditions are analyzed for traffic flow disturbances, including duration, shock amplitude, and driving delays. Numerical calculations are provided to illustrate these effects. Additionally, traffic flow stability is factored into the lane change decision-making process. By incorporating disturbances to the fleet into the lane change income model, both a lane change intention model and a lane change execution model are constructed. These models are then compared with a model that does not account for stability, leading to the corresponding conclusions.

Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia

Abstract Due to favorable natural conditions and human impact, the territory of North Macedonia is very susceptible to natural hazards. Steep hillslopes combined with soft rocks (schists on the mountains; sands and sandstones in depressions), erodible soils, semiarid continental climate, and sparse vegetation cover give a high potential for soil erosion and landslides. For this reason, this study presents a multi-hazard approach to geohazard modeling on the national extent in the example of North Macedonia. Utilizing Geographic Information Systems, relevant data about the entire research area were employed to analyze and assess soil erosion and susceptibility to landslides and identify areas prone to both hazards. Using the Gavrilović Erosion Potential Method (EPM), an average value of 0.36 was obtained for the erosion coefficient Z, indicating low to moderate susceptibility to erosion. However, a significant area of the country (9.6%) is susceptible to high and excess erosion rates. For the landslide susceptibility assessment (LSA), the Analytical hierarchy process approach is combined with the statistical method (frequency ratio), showing that 29.3% of the territory belongs to the zone of high and very high landslide susceptibility. Then, the accuracy assessment is performed for both procedures (EPM and LSA), showing acceptable reliability. By overlapping both models, a multi-hazard map is prepared, indicating that 22.3% of North Macedonia territory is highly susceptible to erosion and landslides. The primary objective of multi-hazard modeling is to identify and delineate hazardous areas, thereby aiding in activities to reduce the hazards and mitigate future damage. This becomes particularly significant when considering the impact of climate change, which is associated with increased landslide and erosion susceptibility. The approach based on a national level presented in this work can provide valuable information for regional planning and decision-making processes.

A Global Estimation of Potential Climate Change Effects on Pollinator-Dependent Crops

AbstractClimate change poses a threat to global food security by significantly affecting agricultural products, both directly and indirectly. This study aims to assess the impact of climate change on the climate suitability of 61 pollinator-dependent crops worldwide under different climate change scenarios. Utilizing species distribution models (SDMs), we predicted climate suitability maps for these crops in the present and projected conditions for 2070. Our findings indicate that under the most pessimistic climate change scenario in 2070 (SSP585), 16, 31, 34, 29, 29, and 31 crops in Africa, Asia, Australia, Europe, North America, and South America, respectively, may experience a decrease in their suitable habitats. On average, crops in Africa, Asia, Australia, Europe, North America, and South America are expected to see a decrease of − 14.5%, − 11.2%, − 26.2%, − 4.7%, 5.5%, and − 14.4% in their suitability by 2070. Regional variations in the effects of climate change on crops highlight the vulnerability of certain areas, particularly Australia, where a substantial number of crops face a decline in suitable habitats. Conversely, North America may witness an increase in the distribution of specific products. Urgent action is needed to mitigate and adapt to the impacts of climate change, including the development of more resilient crop varieties and improvements in agricultural practices, especially for highly vulnerable pollinator-dependent crops in Asia and Africa.

An integrated policy approach for sustainable decarbonization pathways of energy system in a city under climate change scenarios

An integrated assessment model has been developed to estimate useful energy demand, followed by an optimization model for planning the energy supply. Four scenarios have been developed. The findings of this study highlight the impact of behavioral, climate change, and socio-economic factors on energy demand and supply. Specifically, these factors can lead to significant variations in demand, such as a more than 3.48-fold difference in cooling demand or a 1.75-fold difference in the transportation demand by cars across various scenarios.The use of a dual-fuel car and electric motorcycle is suggested in all scenarios. Waste processing has been done with a landfill in all scenarios except in the final years of the net-zero emission target scenario, where an incinerator is proposed. The supply model for electricity generation in the early years suggests the combined cycle power plant followed by solar energy at the end. However, in the low-cost electricity scenario, it is always suggested to import electricity. The sensitivity analysis showed that the emission penalty and electricity price are the most important parameters. The results of this study will help policymakers and decision-makers in energy system planning and provide researchers with appropriate information, tools, and methods for future research.

Exploration of the Dissemination and Development of Guzheng Art in the New Era

With the development of the times and social changes, guzheng art, as an excellent traditional music culture in China, is facing new challenges of dissemination and development. The purpose of this paper is to analyse the communication status of guzheng art in the context of the new era, discuss the challenges and opportunities of its development, and propose strategies for innovation and development. Firstly, through the analysis of traditional and modern communication channels, it reveals the problems that exist in the communication process of guzheng art. Secondly, it discusses the impact of social change, cultural diversification and technological development on guzheng art, as well as the challenges and opportunities it faces. Then, the innovation and development strategies of guzheng art in the new era are proposed in terms of education promotion, work innovation, media communication and activity exchange. Then, through case analysis, it summarises the successful experiences of the dissemination and development of guzheng art at home and abroad, and discusses its inspiration for the development of guzheng art in China. Finally, this paper summarises the current situation and challenges of the dissemination and development of guzheng art in the new era, and looks forward to the future development trend of guzheng art.

Impacts of adaptation to climate change on farmers’ food security and level of sesame production in Western Ethiopia

The existence of multiple stresses and poor adaptive capacity make Africa most susceptible to climate change. In Ethiopia the potential adverse effects of climate change on the agricultural sector, the main stay of the country’s economy, are major concerns. To ensure food security, reducing the vulnerability of agricultural systems through different feasible adaptation strategies is one of the policy options in response to climate change impact This study is a first of its kind in examining the relative effectiveness of various adaptation strategies in ensuring farmers’ food security and enhancing level of sesame production in rural area of Western Ethiopia. In addition to data obtained from meteorological stations, cross-sectional data were collected interviewing 400 farm households. Descriptive statistics, two-stage least square (2SLS) and double-hurdle (D-H) models were used to analyze the data. The results of the study indicate that households are adapting using various strategies to the looming climate change in the area. The study also indicated that, though sesame production was negatively impacted by the climate hazards, smallholders have continued its production at minimum level due mainly to its high value crop character. 2SLS estimation results revealed that rainfall and temperature variability have negative impact on household’s food security. Moreover, the result indicates effectiveness of climate adaptation strategies namely agronomic practices, irrigation and soil and water conservation in reducing climatic risks and ensuring household food security. The result also implicitly indicated that farmers continued to adapt sesame production under risk climate and it is contributing to farmers’ food security. Further, the result revealed that climate change adaptation strategies have positively impacted the level of sesame production. Consequently, policy that augments households’ climate awareness and promotes adaptation decision and strategies could help reducing risks pertaining to climate and thereby improves farmers’ food security status and production of high value export potential crop—sesame.

Examining the impact of the COVID-19 pandemic on hospital-associated Clostridioides difficile infection.

To evaluate the impact of changes in the size and characteristics of the hospitalized patient population during the COVID-19 pandemic on the incidence of hospital-associated Clostridioides difficile infection (HA-CDI). Interrupted time-series analysis. A 576-bed academic medical center in Portland, Oregon. We established March 23, 2020 as our pandemic onset and included 24 pre-pandemic and 24 pandemic-era 30-day intervals. We built an autoregressive segmented regression model to evaluate immediate and gradual changes in HA-CDI rate during the pandemic while controlling for changes in known CDI risk factors. We observed 4.5 HA-CDI cases per 10,000 patient-days in the two years prior to the pandemic and 4.7 cases per 10,000 patient-days in the first two years of the pandemic. According to our adjusted segmented regression model, there were neither significant changes in HA-CDI rate at the onset of the pandemic (level-change coefficient = 0.70, P-value = 0.57) nor overtime during the pandemic (slope-change coefficient = 0.003, P-value = 0.97). We observed significant increases in frequency and intensity of antibiotic use, time at risk, comorbidities, and patient age before and after the pandemic onset. Frequency of C. difficile testing did not significantly change during the pandemic (P= 0.72). Despite large increases in several CDI risk factors, we did not observe the expected corresponding changes in HA-CDI rate during the first two years of the COVID-19 pandemic. We hypothesize that infection prevention measures responding to COVID-19 played a role in CDI prevention.