Seasonal Factors Research Articles

Study on the purification of aquaculture tailwater under Sulfamethoxazole stress using algae-bacteria biofilms: Nutrient removal efficiency, microbial community, and ARGs

This study explored the dynamic processes of algae-bacteria biofilms in the remediation of aquaculture pond effluents as a novel treatment strategy. The purification capacity of the biofilms, changes in community composition, and their impact on the dissemination of antibiotic resistance genes (ARGs) were investigated under the application of sulfamethoxazole (SMX) at concentrations ranging from 100 to 1000 μg/L. The study also considered the factors influencing the abundance and diversity of ARGs and mobile genetic elements (MGEs) across different seasons, including the roles of environmental parameters and microbial community structure.The results showed that, although exposure to SMX reduced nutrient removal efficiency, photosynthetic activity, and increased oxidative stress levels, the biofilms maintained relatively high purification efficiency (with nutrient removal rates ranging from 67.62 % to 93.23 % and SMX removal rate reaching 50.13 % ± 12.34 %), demonstrating adaptability to SMX stress. Network analysis identified key microbial carriers responsible for ARG dissemination, highlighting the complex interactions between environmental factors, microbial communities, and resistance gene propagation. These findings enhance our understanding of biofilm-based water treatment systems and the seasonal factors affecting the dynamics of ARGs and MGEs.

Factors Affecting The Number Of Domestic Flights In Indonesia During Covid-19 Pandemic Using SARIMAX Method

Indonesia, which consists of thousands of large and small islands, relies heavily on-air transportation to support mobility between regions. As many as 80% of Indonesia's total air transportation passengers are domestic flight passengers. This shows how vital domestic flights are in Indonesia's air transportation system. However, in 2020, the COVID-19 pandemic had an impact that resulted in a decrease in the number of domestic flights in Indonesia. Therefore, an analysis is needed to determine the factors that affect the number of domestic flights in Indonesia. This study uses the SARIMAX method, a time series regression with the addition of seasonal factors and other variables or exogenous factors that significantly affect the model to improve the model's accuracy. Several exogenous variables are considered, including the number of operating civil aviation airports, positive daily cases of COVID-19, calendar effects during Eid al-Fitr and New Year's Day, and social restriction policies. The results showed that the number of operating airports one week before Eid al-Fitr, one week during Eid al-Fitr, one week before New Year, and Emergency PPKM significantly influenced the number of domestic flights. These variables offer pivotal insights into the influence of external factors on domestic flight patterns, exerting significant impacts on passenger travel behavior and subsequently influencing domestic flight volume. The integration of these variables in the SARIMAX model allows for a comprehensive analysis of the complex dynamics influencing domestic air travel in Indonesia. The best SARIMAX model obtained is SARIMAX (1,1,1)(4,1,1)7 with a MAPE value of 5.35% and a coefficient of determination is 97%.

PSI-8 Inflammatory cytokine concentrations and gene expression in mature and aging sedentary horses

Abstract Chronic inflammation associated with aging, termed “inflamm-aging” may negatively impact overall animal health. However, the mechanisms of inflamm-aging and, therefore, effective interventions, remain unknown. Nuclear factor erythroid 2-related factor 2 (Nrf2; NFE2L2) is a transcription factor that controls antioxidant gene expression and could be a target for promoting anti-inflammatory pathways. To test the hypothesis that supplementation of nonenzymatic derived antioxidants (Protandim Nrf2 Synergizer, LifeVantage Corporation) would activate Nrf2 and mitigate inflammation, 40 mature, sedentary horses [32 mares, 8 geldings; 15.7 ± 4.9 yr of age, body weight (BW) = 519 ± 46 kg] were stratified by age, sex, and BW and randomly assigned to one of four dietary treatment groups for 56 d: 1) 0 mg (CON); 2) 675 mg (Pro1); 3) 2,025 mg (Pro3); or 4) 4,050 mg (Pro6) Protandim Nrf2 Synergizer per day (n = 10 per group). Blood samples were collected at d 0 (September, 27°C, 61.6% humidity), d 28 (October, 21.6°C, 55.8% humidity), and d 56 (November, 15.1°C, 73.8% humidity) of supplementation prior to the morning feeding. Plasma cytokine concentrations of tumor necrosis factor (TNF)-α, interleukin (IL)-4, IL-6, IL-8, and IL-10 were quantified using custom Meso Scale Discovery U-Plex kits and whole blood gene expression of IL-1β, NFE2L2, and heme oxygenase 1 (HMOX1) were determined using qRT-PCR. Data were analyzed using PROC MIXED in SAS v9.4 with sex, time, treatment, age (under or over 15 yr), and time × treatment as fixed effects and time as a repeated effect with horse(treatment) as the subject. Day 0 was included as a covariate when treatment groups differed at d 0. Relationships between age and cytokine concentrations or mRNA expression were determined using PROC CORR. Plasma IL-4 (r = 0.4054) concentrations as well as whole blood HMOX1 (r = 0.3437) and NFE2L2 (r = 0.3382) expression on d 0 were positively correlated with age (P ≤ 0.04). Regardless of treatment or age, IL-1β and NFE2L2 expression and IL-4 and IL-8 concentrations decreased from d 0 to 28 (P ≤ 0.03) and remained depressed at d 56 (P ≤ 0.02) while IL-10 was not different from d 0 to 28 but decreased from d 0 to 56 (P = 0.02). TNFα concentrations were not different between treatments or over time. These data corroborate increased inflammatory markers with age and suggest a change in inflammatory status over time potentially due to seasonal environmental factors.

Distribution of oil mist particles and air quality improvement in the working area of the cutting workshop

The oil mist particles cyclically emitted during the cutting process are a serious health hazard for workers in machine plants. Affected by emission parameters and seasonal factors, the dynamic distribution of oil mist particles in the workers' breathing zone is not yet clear, and suitable ventilation optimization is yet to be proposed. This paper investigates the dynamic distribution of oil mist particles in the workers' breathing zone and ventilation optimization by numerical simulation. It was found that the accumulated value, peak value, and duration of peak of the oil mist particle concentration in the breathing zone are 1.5 ∼ 5 x, 3 ∼ 7 x, and 2 ∼ 3 x higher than other conditions, respectively, influenced by the emission parameters of the cutting process. Due to the interference of air conditioning airflow, the concentration is high in winter with obvious periodic fluctuations (7 x), while it is relatively low and stable (2 x) in summer. Parallel flow air curtains can decrease the concentration of oil mist particles in the breathing zone by 42.1 % ∼ 67.9 %, with a 13 % ∼ 50 % increase in energy consumption. This paper provides guidance for clarifying the dynamic distribution of pollutants at workers' post in industrial buildings, as well as the protection of workers' breathing environment.

Energy, exergy, economic and environmental studies on a nonflammable eco-friendly mixture for efficient heating in cold regions

As a compelling alternative to fossil fuel combustion, air-source heat pumps face challenges in inefficiency, flammability, and pollution when operated at low ambient temperatures. To address the demand for safe, eco-friendly and efficient heating during wintertime, this work is devoted to exploring a novel refrigerant for air-source heat pumps. The zeotropic mixture has the potential to meet all the above demands at appropriate operating parameters, although specific feasible mixtures are still under investigation. In this work, a novel mixture of carbon dioxide and trans-1,1,1,4,4,4-hexafluoro-2-butene is proposed, with the heating performance being parametrically optimized based on a genetic algorithm. Energy analysis indicates a coefficient of performance improvement of up to 15.7 %, and thus an improvement in heating seasonal performance factor of more than 13.5 % for different cities, compared with traditional configurations. Exergy analysis shows that the low irreversibility of throttling is the main contributing factor to the improvement in energy efficiency. Meanwhile, economic and environmental analyses reveal a payback period of less than 7.5 years and an annual cost reduction of up to 14.5 %, as well as a carbon dioxide emission reduction of over 15.7 %. The sensitivity of operating parameters is analyzed, and other advantages of this concept are discussed as well. The results indicate a safe, efficient, environmentally friendly, and cost-effective air-source heat pump. This study contributes to: 1) providing an energy-efficient and environmentally friendly alternative refrigerant for heat pumps; and 2) promoting the sustainable development of low-carbon energy transformation technology.

Wireless Wave Attenuation in Forests: An Overview of Models

In recent years, the need for reliable signal transmission in forested areas has increasingly grown, and the past few decades have witnessed significant developments in related research. With the emergence of smart forestry and precision forestry, understanding the science behind enhancing signal reliability in forests—specifically, studying the patterns and models of radio wave attenuation in these environments—has become crucial. To this end, we conducted a comprehensive review based on bibliometrics to summarize and construct the existing academic literature, revealing current research trends and hotspots. Utilizing bibliometric techniques, we analyzed the literature on radio wave attenuation in forests to summarize and evaluate previous studies. Our analysis indicates that empirical models (67%), hybrid models (21%), and equivalent models (12%) are the three main research clusters in this field. We observed that studies on radio attenuation are more prevalent in urban and artificial forests, while there is a scarcity of research in complex conditions like tropical rainforests and extreme weather; studies are more focused on UHF, VHF, and SHF frequency bands, with lesser attention given to other bands. Previous research has not adequately considered the impact of seasonal factors on signal attenuation patterns nor the influence of forest working environments.

Analysis of Water Quality of Le'an River in Poyang Lake Basin Based on CCME-WQI Method

As the largest freshwater lake in China, Poyang Lake plays a key role in supporting the balance of aquatic ecosystems, and the water quality of its inlet rivers affects the lake's water quality. Le'an River, a typical inlet river of Poyang Lake, was selected as the research object. Based on the water quality data of six monitoring points in the upper, middle, and lower reaches of the mainstream of Le'an River from 2012 to 2020, the CCME-WQI method was used to evaluate the water quality of the river after systematically analyzing the spatiotemporal variation of the concentration of pollutants in the mainstream of the river. Finally, the main influencing factors of the water quality of the river were extracted and analyzed according to the PCA method. The results showed that： ① The water volume upstream and downstream of the river was more seriously polluted in the pre-study time period, which was due to the presence of Dexing Copper Mine in the upstream and small and medium-sized mines and farmland downstream. ② Before 2017, the water volume downstream of Le'an River had the worst water quality, with TP and NH4+-N exceeding the standard rate of 43.3% and 85.0%, respectively, and the lowest WQI mean value of 86.2. After 2017, due to the effective management of pollutant discharges in the watershed, the water volume downstream of the river improved significantly and continued to be in an excellent state, and the mean value of the WQI reached 100.0. ③ The factors influencing the water quality of the mainstem of the Le'an River could be divided into four categories： human activities, seasonal factors, atmospheric deposition of pollutants, and the physical and chemical properties of the water volume itself, with human activities being the dominant factor for water quality changes at Dawuhekou and Shizhenjie, whereas the seasonal factors had the greatest influence at the remaining locations. ④ Organic matter pollution was obvious in the upper and lower Le'an River water volume, and the water volume at Dawuhekou was mainly affected by nearby mining activities, whereas the water volume at Shizhenjie was mainly affected by agriculture. Le'an River had serious organic matter pollution downstream before 2017, and mining and agricultural activities in the watershed had a high degree of impact on water quality. The treatment of mineral processing wastewater should be upgraded, and the discharge of pollutants from agriculture in the downstream of the watershed should be regulated.

Study on Downscaling Correction of Near-Surface Wind Speed Grid Forecasts in Complex Terrain

Accurate forecasting of wind speeds is a crucial aspect of providing fine-scale professional meteorological services (such as wind energy generation and transportation operations etc.). This article utilizes CMA-MESO model forecast data and CARAS-SUR_1 km ground truth grid data from January, April, July, and October 2022, employing the random forest algorithm to establish and evaluate a downscaling correction model for near-surface 1 km resolution wind-speed grid forecast in the complex terrain area of northwestern Hebei Province. The results indicate that after downscaling correction, the spatial distribution of grid forecast wind speeds in the entire complex terrain study area becomes more refined, with spatial resolution improving from 3 km to 1 km, reflecting fine-scale terrain effects. The accuracy of the corrected wind speed forecast significantly improves compared to the original model, with forecast errors showing stability in both time and space. The mean bias decreases from 2.25 m/s to 0.02 m/s, and the root mean square error (RMSE) decreases from 3.26 m/s to 0.52 m/s. Forecast errors caused by complex terrain, forecast lead time, and seasonal factors are significantly reduced. In terms of wind speed categories, the correction significantly improves forecasts for wind speeds below 8 m/s, with RMSE decreasing from 2.02 m/s to 0.59 m/s. For wind speeds above 8 m/s, there is also a good correction effect, with RMSE decreasing from 2.20 m/s to 1.65 m/s. Selecting the analysis of the Zhangjiakou strong wind process on 26 April 2022, it was found that the downscaled corrected forecast wind speed is very close to the observed wind speed at the station and the ground truth grid points. The correction effect is particularly significant in areas affected by strong winds, such as the Bashang Plateau and valleys, which has significant reference value.

A fractional derivative model of the dynamic of dengue transmission based on seasonal factors in Thailand

Climate variability affects the changes in controlling diseases transferred by insects. An increase in the population, the growth of communities, and a lack of public health infrastructure bring about the return of diseases of which insects are carriers, one of the illness issues. Therefore, the disease control is significant to help reduce the burden on the government and strengthen the country's public health structure. This research proposes a novel approach to modeling dengue fever dynamics, we employ a fractional derivative model with the Atangana–Baleanu–Caputo derivative, which offers a more accurate representation of real-world disease dynamics compared to traditional integer-order models. Basic qualifications are proposed. Equilibrium points and basic reproduction numbers are analyzed. The next-generation matrix method is used to identify the transmission. Besides, parameter sensitivity analysis is performed to learn about factors affecting input parameter values' effects on the basic reproduction number. It was found that the most common parameter affecting the transmission was the biting rate of mosquitoes was 1. In addition, the existence and uniqueness of the solution are examined using the Banach fixed point theorem. The Toufik–Atangana method is used for the numerical examination of a fractional version of the proposed model. We compared different values of fractional-order α=0.965, 0.975, 0.985, 0.995 and 1 it was found that when the order of derivatives decreases, the transmission shall decrease accordingly. This research provides valuable insights for developing effective control strategies to reduce the burden of dengue fever and strengthen public health systems.

Performance simulation and energy efficiency analysis of multi-energy complementary HVAC system based on TRNSYS

The failure rate and operating cost of the C-B (chiller-gas boiler) system, which has been in use for a long time, are increasing year by year, but there is a lack of reasonable programs and effective measures on how to retrofit the C-B system. In order to explore the prospect of ground-source heat pumps applied to the retrofit of C-B systems in HSCW (hot summer and cold winter) zone, this study designed a G-C-B (GSHP-Chiller-Boiler) system in a partial retrofit context and constructed a TRNSYS numerical simulation model of the retrofit system. Secondly, the performance and energy efficiency of the system is analyzed as well as different control strategies for the ground source heat pump cooling tower are discussed. Finally, the energy conversion efficiency of the chiller is compared based on the energy flow of the system. Studies have shown that the G-C-B system can achieve a seasonal performance factor of 5.3 during the cooling season and 4.1 during the heating season. Compared to the existing C-B system, year-round electricity consumption was reduced by 21 %, gas consumption by 92 %, and combined energy demand by 49.6 %. With the addition of GSHP, the energy conversion efficiency of the chiller has also increased by 21 %. The soil temperature of the G-C-B system increased by less than 0.5 °C after ten years of continuous operation. This paper can provide a valuable theoretical basis for the energy form modification of the C-B system in the HSCW zone.

Seasonal biogenic volatile organic compound emission factors in temperate tree species: Implications for emission estimation and ozone formation

Variability in biogenic volatile organic compound (BVOC) emissions across species and seasons poses challenges for accurate regional emission estimates and effective ozone (O3) control policies. To address this issue, we conducted in-situ measurements of emission factors for six dominant tree species in Beijing across four seasons. Subsequently, we developed monthly dynamic standard emission factors (SER-MDs) to model monthly BVOC emissions and their impacts on O3 formation at citywide and district levels. Our observations revealed pronounced seasonal differences in the BVOC composition and emission rates, as well as their responsiveness to monthly average temperature. By introducing the SER-MDs, we estimated BVOC emissions from the dominant tree species in Beijing to be 38.2 Gg yr−1, with monoterpenes and isoprene contributing 49% and 11%, respectively. This calculation reduced the overestimation associated with constant standard emission factors by 31%–38% at district level. The estimates also revealed regional differences in plant compositions rather than simple feedback from regional temperature and photosynthetically active radiation periods. Under these conditions, the maximum monthly BVOC-induced O3 concentration occurred in August and ranged from 4 to 17 μg m−3 across districts, with isoprene being the dominant contributor. Quercus mongolica and Populus tomentosa played significant roles in the formation of BVOC-induced O3 due to their strong isoprene emitting potential in July–August. These results indicate the necessity of introducing species-specific rhythms of BVOC emissions from dominant species in the development of urban BVOC emission inventories. This approach could inform the development of air pollution management policies that are consistent with the local vegetation composition and O3 pollution characteristics. For Beijing and other similar northern cities, reducing the use of tree species emitting substantial amounts of isoprene during periods of regional peak ambient O3 concentrations could constitute an effective nature-based solution for improving urban air quality in the future.

Effects of storage period and season on the microecological characteristics of Jiangxiangxing high-temperature Daqu

Metagenomics, non-targeted metabolomics, and metaproteomics were employed to analyze the microecological succession of high-temperature Daqu during storage, elucidate the adaptation mechanism of the microbial community of Daqu to storage environments, and clarify the microecological characteristics of Daqu during different seasons. During storage, the relative abundances of Bacillus, Oceanobacillus, Staphylococcus, and Aspergillus in Daqu had significantly increased, while those of Kroppenstedtia, Saccharopolyspora, Thermoascus, and Thermomyces had significantly decreased. During the first 3 months of storage, compound metabolism of Daqu was primarily dominated by generation of small molecular substances and then shifted to metabolism of amino sugars. During the storage process, homogeneous selection (15.57 %) and homogeneous diffusion (14.86 %) of the microbial communities of Daqu were much larger than during the fermentation process, while the variable selection assembly (29.43 %) was smaller than during the fermentation process. Among the 2509 proteins identified in the four-season Daqu, bacterial protein expression was 1.46-fold greater than that of fungi. Seasonal factors influenced the function of Daqu by alterations to Bacillus subtilis, Oceanobacillus iheyensis, and Aspergillus nidulans and other microbial functions. Carbon and benzoic acid metabolism of Daqu was relatively increased during the spring, while metabolism of alkaloids and tyrosine was upregulated during the summer, amino acid synthesis and starch metabolism were enriched during the autumn, and peptidoglycan synthesis was relatively greater during the winter. Adjusting the moisture content of Daqu during the storage period was shown to reduce microecological differentiation caused by seasonal temperature variations.

Delay propagation patterns in Japan’s domestic air transport network

We experience air traffic delays every day, but are there any recurrent patterns in these delays? In this study, we investigate the recurrence of delay propagation patterns in Japan’s domestic air transport network in 2019 by integrating delay causality networks and temporal network analysis. Additionally, we examine characteristics unique to delay propagation by comparing delay causality networks with corresponding randomized networks generated by a directed configuration model. As a result, we found that the structure of the delay propagation patterns can be classified into several groups. The identified groups exhibit statistically significant differences in total delay time and average out-degree, with different airports playing central roles in spreading delays. The results also suggest that some delay propagation patterns are particularly prominent during specific times of the year, which could be influenced by Japan’s seasonal and geographical factors. Moreover, we discovered that specific network motifs appear significantly more (or less) frequently in delay causality networks than their corresponding randomized counterparts. This characteristic is particularly pronounced in groups with more significant delays. These results suggest that delays propagate following specific directional patterns, which could significantly contribute to predicting air traffic delays. We expect the present study to trigger further research on recurrent and non-recurrent natures of air traffic delay propagation.

RELATIONSHIP OF MANAGEMENT AND ECONOMIC INDICATORS IN THE HOSPITALITY SECTOR: THE SEARCH FOR OPTIMAL STRATEGIES

Optimal strategies are a key lever for business success in the current difficult conditions, and the hospitality sector is no exception. The aim of the study was to determine how management practices affect economic indicators in the hospitality sector.The research employed methods of regression and correlation analysis, and descriptive statistics analysis. Cost management was found to have a positive effect on the Return on Assets (ROA) (0.088) and the Occupancy Rate (0.191).The analysis showed that the factor of staff training investment has a positive but weak effect on the return on assets (0.068) and the utilization rate (0.005). It was identified that the seasonality factor also has a positive effect on the utilization rate (0.510). The market competition factor was found to have a slight negative effect on the profitability of assets (-0.018) and the utilization rate (-0.009). Key financial management tools such as the development of a detailed budget and regular updating of business financial forecasts are identified. Emphasis is placed on the importance of managing cash flows to ensure the necessary liquidity and planning short-term financial needs. Optimization of the tax burden through the use of tax benefits as an element of financial management in difficult business conditions is proposed. Further research will focus on the impact of digitalization on optimal business strategies and their impact on the main economic indicators in the hospitality sector in view of increased uncertainty in the business environment.

An innovative approach to municipal solid waste characterization for waste-to-energy processes in Egypt

This study enhances municipal solid waste (MSW) characterization methodologies by introducing an innovative sampling approach that prioritizes organic content over traditional components like paper and cartons, particularly suited to developing countries like Egypt. This innovative method adapts the ASTM D5231 − 92 standard to capture the actual MSW profile in the Giza governorate, where this research was carried out. Focusing on organic waste, this approach ensures more relevant and accurate data for waste-to-energy (WtE) conversion processes. This research documents significant seasonal variability in waste composition, with organic content averaging 66 % in winter compared to 59 % in fall. The energy-rich fraction shows similar variability, with winter having an average of 28 % compared to fall's 30 %. Moreover, the calorific value is notably higher in winter at 10.3 MJ/kg, compared to 8.4 MJ/kg in fall. These variations are critical for optimizing energy recovery processes in WtE projects. The results from this case study contribute to the limited but growing body of knowledge on waste management in Egypt, demonstrating the feasibility and benefits of adapting standard characterization methods to local conditions. The insights gained from this research fill a notable gap in the regional waste management literature and enhance the scientific understanding of how seasonal factors affect MSW properties, providing a robust framework for improving waste management practices in similar settings globally.

Distribution of Bovine Mastitis Pathogens in Quarter Milk Samples from Bavaria, Southern Germany, between 2014 and 2023-A Retrospective Study.

The objective of this study was to investigate the distribution of mastitis pathogens in quarter milk samples (QMSs) submitted to the laboratory of the Bavarian Animal Health Service (TGD) between 2014 and 2023 in general, in relation to the clinical status of the quarters, and to analyze seasonal differences in the detection risk. Each QMS sent to the TGD during this period was analyzed and tested using the California Mastitis Test (CMT). Depending on the result, QMSs were classified as CMT-negative, subclinical, or clinical if the milk character showed abnormalities. Mastitis pathogens were detected in 19% of the QMSs. Non-aureus staphylococci (NAS) were the most common species isolated from the culture positive samples (30%), followed by Staphylococcus (S.) aureus (19%), Streptococcus (Sc.) uberis (19%), and Sc. dysgalactiae (9%). In culture-positive QMSs from CMT-negative and subclinically affected quarters, the most frequently isolated pathogens were NAS (44% and 27%, respectively), followed by S. aureus (25% and 17%, respectively) and Sc. uberis (8% and 22%, respectively). In QMSs from clinically affected quarters, the most frequently isolated pathogens were Sc. uberis (32%), S. aureus (13%), Sc. dysgalactiae (11%), and Escherichia (E.) coli (11%). The distribution of NAS and Sc. uberis increased throughout the study period, while that of S. aureus decreased. From June to October, QMSs from subclinically affected quarters increased and environmental pathogens, such as Sc. uberis, were detected more frequently. In conclusion, this study highlights the dynamic nature of the distribution of mastitis pathogens, influenced by mastitis status and seasonal factors. Environmental pathogens still play an important role, especially in clinical mastitis and seasonal dependency, with the number of positive samples continuing to increase. It is therefore essential to continue mastitis control measures and to regularly monitor the spread of mastitis pathogens in order to track trends and adapt targeted prevention measures.

Clinical burden of Plasmodium infection and associated risk factors among the local population of Chakwal, Punjab, Pakistan (2019–2023)

BackgroundThis study aimed to determine the clinical burden, spatial dynamics, and associated risk factors of Plasmodium infection among the natives of Chakwal, Punjab Pakistan from 2019 to 2023 to guide targeted screening and treatment interventions.MethodA community-based cross-sectional study was conducted using primary and secondary data sources. Participants were recruited using a multi-stage cluster sampling by taking informed consent for the primary data sources. Whereas a secondary dataset of Plasmodium infection was obtained from the database of surveyed hospitals after ethical consideration. All the participants living in the study area for at least 3 months were included, while patients with chronic illness were excluded. Sociodemographic and environmental data were collected using a structured questionnaire. Plasmodium infection was diagnosed using microscopy, rapid diagnostic tests (RDTs), and nested polymerase chain reaction (PCR) as the reference standard. A Zero-inflated negative binomial logistic regression model and interpolation of malaria distribution to environmental variables were employed to determine the association and spatiotemporal patterns of malaria in Chakwal.ResultsAmong the 2457 participants, the prevalence of Plasmodium vivax infection (99%) was significantly higher than P. falciparum (0.8%) and mixed infection (0.2%). Females had a higher infection rate than males and the infection rate was higher in adults (21–40 years) and children (0–20 years). Age category (61–100), P. vivax species, temperature, rainfall, monsoon season, and mixed infection factors were significantly associated (p < 0.05) with increased Plasmodium infection risk. Geospatial mapping indicated potential malaria hotspots in Sarkal Kasar, Chak Baili, Mulkwal, Chohan, and other close areas of the Potohar region.ConclusionThe clinical burden of P. vivax was the highest during monsoon season in Chakwal. Age, gender, climatic factors, and mixed infection were significant risk factors for malaria transmission in this region. Targeted screening and treatment strategies should prioritize identified hotspots and high-risk groups to effectively control malaria in Potohar region of Pakistan.

Biogeography of Planktonic and Benthic Bacterial Communities of Lake Khubsugul (Mongolia)

The bacterioplankton of Lake Khubsugl (Hövsgöl) has significant differences from that of large ancient and oligotrophic water bodies. The greatest similarity was noted, however, between the microbiomes of Lake Khubsugul and Lake Baikal, the lakes located in the same rift zone and connected by the river system, which emphasizes the similarity of microbiomes at the regional level. In the global aspect, geographical zonation had the greatest reliable significance in the microbial community biogeography, while depth had the lowest. Trophic status of the lakes, as well as their ancient origin, did not affect the clustering of microbiomes, with the seasonal factor playing the major part at the local and regional levels.

Reducing nitrogen fertilizer applications mitigates N2O emissions and maintains sugarcane yields in South China

Fertilizer N application combined with crop residue retention and a warm and humid climate increases nitrous oxide (N2O) emissions from sugarcane systems. However, the effects of high fertilizer N application rates on N2O emissions from sugarcane fields in China and the N2O reduction potential are still unclear. This study measured N2O emissions, the δ15N values for N2O and soil mineral N (NH4+ and NO3–), and yields during three continuous growing seasons in a sugarcane field in subtropical South China when four fertilizer N application rates: 0 (N0), 300 (N300), 400 (N400), and the local conventional rate of 500 kg N ha–1 (N500), were applied. The results showed that N2O emissions peaked in the first 4 weeks after fertilizer N application and the peak amplitude was highest after applying the N500 rate. The greatest soil N2O fluxes occurred when soil NH4+ and NO3– contents were high, the soil pore spaces contained large amounts of water (around 60 %), and there was a high soil surface temperature (around 35°C). The cumulative N2O emissions over the whole season (1.3–64.8 kg N ha–1) and emission factor values (2.6–11.1 %) both strongly increased with fertilizer N rate. The δ15N values for N2O and soil NH4+ and NO3– indicated that N2O production after N fertilization was dominated by denitrification and the microbial types varied with time and N fertilization rate. The principal component analysis showed that the factors associated with denitrification and nitrification explained 53.53 % and 30.53 % of the variation in N2O fluxes, respectively. Sugarcane yields, N uptake, and sugar contents were not affected by the reduced fertilizer N rates (N400 and N300) compared to that of N500. A reasonable N fertilizer rate of around 340 kg N ha–1 could reduce N2O emissions by more than 65 % compared to the conventional N500 rates while maintaining sugarcane yields. This study quantified the N2O emissions induced by different fertilizer N rates in a sugarcane system in China and highlighted the considerable potential for reducing N2O emissions through optimization of the fertilizer N application rate.

Performance simulation and analysis of a solar-assisted multifunctional heat pump system for residential buildings

ABSTRACT As building electrification is recognised as an important opportunity to reduce greenhouse gas emissions, the integration of solar energy and heat pump represents a promising solution towards net-zero carbon buildings. This paper presents a hybrid multifunctional solar-assisted heat pump (SAHP) system that can provide space heating, space cooling, domestic hot water, and onsite electricity generation. Photovoltaic-thermal collectors are used for electricity generation, heat collection, and radiative cooling. The system design and controls support fourteen operational modes involving different components. TRNSYS software is used to model and simulate the multifunctional SAHP system. With a 2-m3 storage tank and 30-m2 PVT collectors, the multifunctional SAHP system has a seasonal performance factor of 2.7 in Baltimore and 3.7 in Las Vegas. The onsite electricity generation can cover 53% of the building’s electricity needs in Baltimore and 83% in Las Vegas.