Optimizing germination: comparative assessment of various growth media on dragon fruit germination and early growth.

Dragon fruit (Selenicereus undatus), known for its captivating appearance and remarkable nutritional profile, has garnered considerable attention in recent years. Despite its popularity, there's a dearth of research on optimal conditions for seed germination and early growth stages such as seedling shoot length, which are crucial for optimal crop yield. This study aims to bridge this gap by evaluating various growing media's performance on dragon fruit germination and early growth stages. Dragon fruit seeds were obtained from local markets in Pakistan and evaluated in five different growing media: cocopeat, peat moss, sand, vermiculite, and compost. Germination parameters were observed for 45 days, including seed germination percentage, mean germination time, and mean daily germination percentage, among others while early growth was monitored for 240 days. Statistical analysis was conducted using ANOVA and Tukey's HSD test. Significant differences were found among the growing media regarding germination percentage, mean germination time, and mean daily germination. Vermiculite exhibited the highest germination rate (93.33%), while compost showed the least (70%). Peat moss and sand media facilitated rapid germination, while compost showed slower rates. Stem length was significantly influenced by the growth media, with compost supporting the longest stems. Vermiculite emerged as the most effective medium for dragon fruit seed germination, while compost showed slower but steady growth. These findings provide valuable insights for optimizing dragon fruit cultivation, aiding commercial growers and enthusiasts in achieving higher yields and quality. Further research could explore additional factors influencing dragon fruit growth and development.

Techno-economic and environmental analysis of renewable energy integration in irrigation systems: A comparative study of standalone and grid-connected PV/diesel generator systems in Khyber Pakhtunkhwa.

Water is an essential requirement for agricultural productivity. In the agriculture sector, electricity generated by conventional sources contributes to a substantial amount of carbon footprints for pumping water through tube wells. Over the past few decades, a transitional shift towards renewable resources has increased leading to decarbonizing the environment and is considered as a viable solution for electricity production. To assist and provide a road map for this paradigm shift, the proposed study presents a techno-economic and environmental analysis of irrigation systems by carrying comparative analysis of both standalone and grid-connected systems based on four independent sites in a developing country. PV system integrated with grid enabling both energy purchase and sale (PV + G(P+S)), proved to be the most optimal configuration with cost of energy (COE) of $0.056/kWh, $0.059/kWh, $0.061/kWh, and $0.068/kWh while having net present cost (NPC) of $7,908, $20,186, $25,826, and $34,487 for Peshawar, Khyber Agency, Mardan, and Charsadda respectively, over a useful life span of 25 years. Furthermore, sensitivity analysis has been carried out based on uncertain variables such as Grid power purchase (GPP) and average solar radiation (GHI) to check the optimality behavior of the system. Results from environmental analysis revealed that (PV+ G(P+S)) system has a relatively low carbon impact as compared with conventional sources. This configuration also has the ability to prevent excess water extraction by selling any excessive solar PV energy to the grid. This study provides a policy framework insight for the entities for future optimization.

The effects of COVID-19 on agriculture supply chain, food security, and environment: a review.

COVID-19 has a deep impact on the economic, environmental, and social life of the global population. Particularly, it disturbed the entire agriculture supply chain due to a shortage of labor, travel restrictions, and changes in demand during lockdowns. Consequently, the world population faced food insecurity due to a reduction in food production and booming food prices. Low-income households face food security challenges because of limited income generation during the pandemic. Thus, there is a need to understand comprehensive strategies to meet the complex challenges faced by the food industry and marginalized people in developing countries. This research is intended to review the agricultural supply chain, global food security, and environmental dynamics of COVID-19 by exploring the most significant literature in this domain. Due to lockdowns and reduced industrial production, positive environmental effects are achieved through improved air and water quality and reduced noise pollution globally. However, negative environmental effects emerged due to increasing medical waste, packaging waste, and plastic pollution due to disruptions in recycling operations. There is extensive literature on the effects of COVID-19 on the environment and food security. This study is an effort to review the existing literature to understand the net effects of the pandemic on the environment and food security. The literature suggested adopting innovative policies and strategies to protect the global food supply chain and achieve economic recovery with environmental sustainability. For instance, food productivity should be increased by using modern agriculture technologies to ensure food security. The government should provide food to vulnerable populations during the pandemic. Trade restrictions should be removed for food trade to improve international collaboration for food security. On the environmental side, the government should increase recycling plants during the pandemic to control waste and plastic pollution.

Cost of SARS-CoV-2 self-test distribution programmes by different modalities: a micro-costing study in five countries (Brazil, Georgia, Malaysia, Ethiopia and the Philippines).

OBJECTIVE: Diagnostic testing is an important tool to combat the COVID-19 pandemic, yet access to and uptake of testing vary widely 3 years into the pandemic. The WHO recommends the use of COVID-19 self-testing as an option to help expand testing access. We aimed to calculate the cost of providing COVID-19 self-testing across countries and distribution modalities. DESIGN: We estimated economic costs from the provider perspective to calculate the total cost and the cost per self-test kit distributed for three scenarios that differed by costing period (pilot, annual), the number of tests distributed (actual, planned, scaled assuming an epidemic peak) and self-test kit costs (pilot purchase price, 50% reduction). SETTING: We used data collected between August and December 2022 in Brazil, Georgia, Malaysia, Ethiopia and the Philippines from pilot implementation studies designed to provide COVID-19 self-tests in a variety of settings-namely, workplace and healthcare facilities. RESULTS: Across all five countries, 173 000 kits were distributed during pilot implementation with the cost/test distributed ranging from $2.44 to $12.78. The cost/self-test kit distributed was lowest in the scenario that assumed implementation over a longer period (year), with higher test demand (peak) and a test kit price reduction of 50% ($1.04-3.07). Across all countries and scenarios, test procurement occupied the greatest proportion of costs: 58-87% for countries with off-site self-testing (outside the workplace, for example, home) and 15-50% for countries with on-site self-testing (at the workplace). Staffing was the next key cost driver, particularly for distribution modalities that had on-site self-testing (29-35%) versus off-site self-testing (7-27%). CONCLUSIONS: Our results indicate that it is likely to cost between $2.44 and $12.78 per test to distribute COVID-19 self-tests across common settings in five heterogeneous countries. Cost-effectiveness analyses using these results will allow policymakers to make informed decisions on optimally scaling up COVID-19 self-test distribution programmes across diverse settings and evolving needs.

Assessment of sleep quality in severe COVID-19 hospitalised patients.

Objectives: To evaluate the quality of sleep in patients hospitalised with coronavirus disease-2019, and its impact on hospitalisation duration, need for intensive care unit admission and mortality. METHODS: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from May 2, 2021 to April 30, 2022, and comprised hospitalised coronavirus disease-2019 patients. Data was gathered using the Pittsburgh Sleep Quality Index questionnaire, including demographics, comorbidities, length of hospital stay, need for intensive care unit admission, C-reactive protein and D-dimer values at admission, and the outcome. The patients were divided into group A having good sleep quality score >5 and group B having poor sleep quality score <5. Data was analysed using SPSS 25. RESULTS: Of the 1,250 patients, 559(44.7%) were males and 691(55.3%) were females. There were 560(44.8%) patients in group A with mean age 53.80±14.85 years, and 690(55.2%) patients in group B with mean age 53.71±14.32 years. There were no significant intergroup differences in terms of age and high-resolution computed tomography scan (p>0.05). The difference was significant with respect to gender, comorbid conditions, education status as well C-reactive protein and D-dimer levels (p<0.001). Group B patients had a longer duration of hospitalisation (p<0.001) and a higher need for intensive care unit admission (p<0.001) compared to group A. The outcome was death in 166(13.28%) patients in group B compared to 40(3.2%) in group A (p<0.001). CONCLUSIONS: Poor sleep quality was found to be associated with longer hospital stay, increased need for mechanical ventilation, and higher mortality rate in coronavirus disease-2019 patients.

Concrete incorporating supplementary cementitious materials: Temporal evolution of compressive strength and environmental life cycle assessment.

The use of Supplementary Cementitious Materials (SCMs) or industrial wastes as a partial replacement for cement in the production of concrete is an urgent need in the construction industry due to cement's growing environmental challenges and rising cost. In respect of this, we conducted research work on proportioning binary concrete mixes. Fly ash (FA) replaced 10 %, 20 %, and 30 % of the cement, while silica fume (SF) replaced 5 %, 10 %, and 15 % of the cement. A control concrete mix was also developed with 100 % cement and no SCM. The results showed no increase in compressive strength for FA concrete compared to control at the early age of 3-28 days, but a maximum increase in compressive strength of 4 % was discovered at a later age of 56 days for concrete with 20 % FA. For 5 % SF concrete, a considerable strength increase of 15 % was seen at the early age of 3 days. Like with FA concrete, 2 % improvement in strength was recorded at the later age of 56 days for 10 % SF concrete. This study further focused on the concrete's temporal evolution of compressive strength by developing a strength evolution model (SEM) using nonlinear regression analysis at a 95 % confidence level. Pearson correlation coefficient was used to determine the correlation between the model values and the experimental results. For comparison, the fib Model Code 2010 was applied to the experimental data, and a good agreement was observed among the proposed model, the fib Model values, and the experimental results. The proposed model can be expanded to address further regression-related problems. Finally, environmental life cycle assessment revealed that utilizing 10 %, 20 %, and 30 % of FA lowered Global Warming Potential (GWP) by 9 %, 19 %, and 29 %, respectively. Likewise, using 5 %, 10 %, and 15 % of SF reduced the GWP by 5 %, 9 %, and 14 %.

Investigating socioeconomic disparities of Kangaroo mother care on preterm infant health outcomes.

Several studies have been conducted to examine the complicated relationships between various factors that influence Kangaroo mother care (KMC) for preterm infants. However, the extended socio-economic model has not been seen in any of the previous studies that looked into the factors related to KMC and how it affects the health outcomes of babies born before in our study population. This study examines the various dimensions of KMC implementation and its influence on the health outcomes of premature infants. The current cross-sectional study was carried out in South Punjab, Pakistan, covering both private and public KMC units in obstetrics and gynecology departments. The study included a sample size of 719 patients and was conducted during a period covering 21 September 2022 to 14 October 2023. Multinomial logistic regression analysis is employed to ascertain the factors by using SPSS-26 (SPSS Inc., Chicago, IL). The use of folic acid (OR: 1.44; 95% CI: 0.87-3.11) and factor anemia (OR: 8.82; 95% CI: 1.69-14.59) no significantly correlated with better health outcomes, while environmental toxin exposure had a negative impact (OR: 0.90). The findings underscore the need for comprehensive interventions and policies to bridge socioeconomic gaps, ensuring all preterm infants benefit from KMC.

Inquiring asymmetric effects of oil prices, money supply, and domestic debt on consumer prices: an empirical evidence from Pakistan.

Oil prices (OP) may play a significant role in determining inflation in any oil-importing economy and could have an asymmetrical effect as well. Thus, this paper aims to explore the asymmetric influence of OP, broad money supply (BMS), and domestic debt (DD) on the Consumer Price Index (CPI) in the oil-importing economy of Pakistan using the nonlinear autoregressive distributive lag (NARDL) methodology on an annual sample from 1980 to 2021. The long-run results show that increasing OP and BMS have a positive effect on CPI. Similarly, decreasing OP and BMS have a positive effect on CPI. So, increasing OP and BMS is raising price levels, and decreasing OP and BMS is reducing price levels. OP has a positive and symmetrical effect on CPI. However, the BMS has a positive but asymmetrical effect on CPI. Furthermore, the effect of decreasing BMS is found greater than increasing BMS. Moreover, the effect of DD on CPI is also found asymmetrical. The increasing DD has a positive effect, and decreasing DD has a negative effect on CPI. The most of short-run results follow the long-run results. However, energy usage shows a negative effect on CPI in the short run, which is insignificant in the long-run results. This study recommends controlling the money supply and oil prices to reduce consumer prices.

Assessment of meteorological and air quality drivers of elevated ambient ozone in Beijing via machine learning approach.

Over the past few years, surface ozone (O3) pollution has dominated China's air pollution as particulate matter has decreased. In Beijing, the annual average concentrations of ground-level O3 from 2015 to 2020 regularly increased from 57.32 to 62.72 µg/m3, showing a change of almost 9.4%, with a 1.6% per year increase. The meteorological factors are the primary influencer of elevated O3 levels; however, their importance and heterogeneity of variables remain rarely understood. In this study, we used 13 meteorological factors and 6 air quality (AQ) parameters to estimate their influencing score using the random forest (RF) algorithm to explain and predict ambient O3. Among the meteorological variables and overall, both land surface temperature and temperature at 2 m from the surface emerged as the most influential factors, while NO2 stood out as the highest influencing factor from the AQ parameters. Indeed, it is crucial and imperative to reduce the temperature caused by climate change in order to effectively control ambient O3 levels in Beijing. Overall, meteorological factors alone exhibited a higher coefficient of determination (R2) value of 0.80, compared with AQ variables of 0.58, for the post-lockdown period. In addition, we calculated the number of days O3 concentration levels exceeded the WHO standard and newly proposed peak-season maximum daily 8-h average (MDA8) O3 guideline for Beijing. The exceedance number of days from the WHO standard of MDA8 ambient O3 was observed to be the highest in June, and each studied year crossed peak season guidelines by almost 2 times margin. This study demonstrates the contributions of meteorological variables and AQ parameters in surging ambient O3 and highlights the importance of future research toward devising an optimum strategy to combat growing O3 pollution in urban areas.

Sustainable environment quality: moderating role of renewable energy consumption in service sector for selected HDR listed countries.

Considering environmental deterioration, an emerging global problem, this study is aimed at determining the impact of the service sector economic activity on environmental quality from the environmental Kuznets curve (EKC) perspective and finding ways to reduce the carbon impact of service sector within the EKC relationship. This study proposes that renewable energy intensity in the economy plays an important role in reducing carbon print of service sector. This study is based on secondary data from 1995 to 2021 for different development-wise categorized country groups leading to 115 countries, according to the Human Development Report (HDR) on the Human Development Index (HDI). Estimated results using panel feasible generalized least squares (FGLS) have confirmed inverted U-shaped for very high HDI and medium HDI and U-shaped EKC for low HDI countries. This study is instrumental in confirming the moderating role of renewable energy in the service sector EKC. Policymakers can plan a gradual reduction of carbon footprint in the service sector by transitioning toward renewable energy.

Risk assessment of circular economy practices in construction industry of Pakistan.

The construction industry (CI) is responsible for consuming 3 billion tons of natural raw materials annually. Also, as per the survey by World Resources Institute, the CI accounts for 40 % of the total waste generated globally. The solution to this inefficient resource usage and adverse effects on the ecosystem is implementing Circular Economy (CE) practices in CI. However, the concept of circular construction is in developmental stages. Therefore, it is more prone to damaging risks than traditional construction. The primary aim of this study is to identify and assess the risk related to implementing CE practices in developing country construction sector. To achieve this aim, 25 risks were shortlisted from the literature review and evaluated upon the probability, detection, and severity risk criteria. This study proposed a novel hybrid fuzzy Multi-Criteria Decision Making (MCDM) approach to analyze the shortlisted risks. Fuzzy Step Wise Assessment Ratio Analysis (FSWARA) is employed to gauge the risk criterion weightage. Moreover, Fuzzy VIKOR (FVIKOR) is used to determine the risks' ranking as per the weightage of the risk criterion. The analyses ranked "lack of political support and incentives for circular construction", "difficulty in selection of circular construction experts", "profit uncertainty", and "circular material quality" as the most critical risks. Therefore, it is recommended for legislative authority to devise a framework that promotes and provides support to circular construction. Moreover, this study fills the literature gap by assessing the risks of CE practices in the CI of Pakistan.

Techno-economic analysis of PV systems installed by using innovative strategies for smart sustainable agriculture farms.

Hybrid renewable energy sources are sustainable and eco-friendly and challenge the alternative sources of conventional energy production facilities. Pakistan's present energy dilemma is a serious impediment to its economic progress. This paper proposes a techno-economic analysis of commercial-scale photovoltaic (PV) systems for commercial agricultural farms in Punjab, Pakistan. A survey was conducted to gather the load data of the farms from major cities of north, center, and south Punjab. For the PV system design, the K-means approach was used to cluster data from 93 farmers into nine clusters with similar electrical consumption. A complete technical, economic, and environmental study is undertaken of the PV systems deployed in five selected cities. The most practical locations are Attock and Multan, which have the lowest Levelized Cost of Energy at 5.52 and 5.37 cents/kWh, respectively. PV installations are nevertheless technically, economically, and environmentally feasible for all cities. Throughout its lifespan, the planned PV system has the potential for Faisalabad and Chiniot to minimize 154 metric tons of emissions, resulting in a greener environment.

Energy-growth hypothesis: testing non-linearity by considering production function approach for Spanish economy.

Targeting output growth is among one of the prime concerns of any economy in both the developing and developed world. Energy utilization and exports are important drivers that would help in boosting production activities in any economy. Therefore, beyond labor force and capital formation, exports and energy utilization can be among the important inputs for accelerating economic growth in any economy. This research is conducted to investigate the linear impact of exports and the non-linear effect of energy consumption on economic growth considering the production function approach in the Spanish economy. After considering the bounds test for a period from 1980 to 2019, the study provides evidence of the inverted-U-shaped effect of energy consumption on economic growth. The findings also expose that exports, labor force and capital formation significantly accelerate economic growth in Spain. These findings are consistent with the diagnostics applied in the study. This research proposes that energy consumption should not be increased beyond a certain threshold for reaping the positive fruits of economic growth. Beyond that cutoff, it will become harmful to economic growth. Policy advisors may consider exports to target economic growth in Spain as it helps in expanding production activities in the Spanish economy.

A Quantitative and Qualitative Assessment of Frozen Section Diagnosis Accuracy and Deferral Rate Across Organ Systems.

OBJECTIVES: Monitoring of frozen section diagnostic performance provides an important quality improvement measure. METHODS: Surgical specimens involving a frozen section diagnosis over a 3-year period were retrospectively reviewed. Glass slides were reviewed on cases with discordance. Discordance and deferral rates were calculated. RESULTS: Of 3,675 frozen section diagnoses included, 96 (2.7%) were discordant with the final diagnosis. Additionally, 114 frozen section diagnoses (3.1%) were deferred. The organ-specific discordance rates were lowest in breast and genitourinary specimens and highest for pancreas, lymph node, and gynecologic specimens. Deferral rates were highest in musculoskeletal, breast, and hepatobiliary cases and lowest in thyroid, parathyroid, and neuropathology cases. Discordance was explained by block-sampling error (45%), specimen-sampling error (27%), or interpretation error (27%). Discordant frozen section diagnoses from gynecologic specimens were responsible for 81% of specimen-sampling errors; frozen section diagnoses of lymph nodes, head and neck, and pancreas were responsible for 54% of interpretation errors; 51% of block-sampling errors involved lymph node evaluation for metastatic carcinoma. CONCLUSIONS: Careful gross evaluation and microscopic examination of multiple levels should minimize specimen-sampling error and block-sampling error, respectively. Periodic review of accuracy and deferral rates may help reduce errors and improve the overall performance of this essential procedure.

The impact of electric power consumption on economic growth: a case study of Portugal, France, and Finland.

Energy plays a vital role in promoting sustainable economic development in complex societies. This study has analyzed the impact of electricity consumption on three European Union member countries' economic growth, i.e., Portugal, France, and Finland, caring structural breaks in cointegration analyses. The empirical results indicate a positive impact of electric power consumption on economic growth in the long and short run in Finland and Portugal and in the long run in France. The findings also highlight the positive and significant role of the labor force in boosting economic growth in the long and short run in France and Finland. However, it shrinks economic growth in the long run in Portugal. The study discloses the positive role of capital in the long run in the case of Portugal. Similar results are found in all three countries in the short run. Moreover, the study diagnoses a bidirectional causal relationship between economic growth and electric power consumption in Finland in the long and short run and in France in the long run. A growth-promoting or electricity-led growth hypothesis is found in Portugal. By simulating the mean values of electric power consumption, economic growth follows an increasing trend in all the countries. Hence, electric power consumption has appeared an essential factor in elevating economic growth in all three selected countries. Based on these results, this study suggests that the provision of electricity supply ventures may be expanded in the selected EU member countries in order to enhance economic growth. The study also suggests that emphasis should be shifted from non-renewable energy sources to renewable energy sources to ensure the provision of clean energy to all the public under the umbrella of sustainable development goals of 2030. Hence, the present study contributes to achieving sustainable economic growth in the selected EU member countries.

Barriers to scaling up hepatitis C treatment in Malaysia: a qualitative study with key stakeholders.

BACKGROUND: While the availability of generic direct-acting antivirals (DAAs) opens the door for large-scale treatment, the care for people living with hepatitis C virus (HCV) in Malaysia is shifting toward a tripartite partnership between the public health system, correctional settings and civil society organizations (CSOs). This study aimed to explore the barriers to scaling up HCV treatment in Malaysia from the perspective of key stakeholders. METHODS: Eighteen focus-group discussions (FGDs) were conducted with 180 individuals, who actively engaged in coordinating, executing or supporting the implementation of the national strategic plan for HCV. An analytical framework was adapted to guide the data collection and thematic analysis. It covered four key aspects of HCV treatment: geographical accessibility, availability, affordability and acceptability. RESULTS: Movement restrictions in times of coronavirus disease 2019 (COVID-19) outbreaks and being marginalized translated into barriers to treatment access in people living with HCV. Barriers to treatment initiation in health and correctional settings included limited staffing and capacity; disruption in material supply; silos mentality and unintegrated systems; logistical challenges for laboratory tests; and insufficient knowledge of care providers. Although no-cost health services were in place, concerns over transportation costs and productivity loss also continued to suppress the treatment uptake. Limited disease awareness, along with the disease-related stigma, further lowered the treatment acceptability. CONCLUSIONS: This study disclosed a series of supply- and demand-side barriers to expanding the treatment coverage among people living with HCV in Malaysia. The findings call for strengthening inter-organizational collaborations to overcome the barriers.

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing.

In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV's residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal.

Preclinical assessment of analgesic, anti-inflammatory and antipyretic potential of Fragaria ananassa and Actinidia deliciosa fruit extract.

Fragaria ananassa (garden strawberry) and Actinidia deliciosa (kiwi) fruits are widely consumed due to their taste and nutritive value however several studies also supports their medicinal uses. Current study was designed to assess the In-Vivo analgesic, anti-inflammatory and antipyretic activity of ethanol extract of Fragaria ananassa (EEFA), Actinidia deliciosa (EEDA) and their 1:1 combination. Albino Wistar rats were divided into five groups (n=5) for each study comprising of vehicle control, reference standards *(aspirin and paracetamol 100 mg/kg/day), EEFA (800 mg/kg/day), EEAD (800 mg/kg/day) and 1:1 combination of EEFA and EEAD (400 + 400mg/kg/day). The results revealed significant anti-inflammatory potential of EEAD and their combination with 79.35% and 82.03% inhibition in carrageenan induced paw edema whereas 52.54% inhibition was produced by EEFA against control. However most powerful analgesic effect was produced by EEFA with 52.23% at 60 min followed by EEAD (48.38%) and EEFA+ EEAD combination (44.09%). Similarly, EEFA, EEAD and their combination also lowered the rectal temperature in highly significant manner (p< 0.01) against control. These results suggested the possible role of garden strawberry and kiwi in treating the ailments related to pain, inflammation and fever however further studies are required to elucidate the constituents responsible for it and their exact mechanism.

Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands.

The development of urban accumulations in recent decades has led to the transformation of urban heat islands (UHI) into regional heat islands (RHI). The contributions of the biophysical, climate, and socioeconomic factors to RHI in urban agglomeration remain poorly understood. Here Yangtze River Delta urban agglomeration (YRDUA) in eastern China has been selected as a case area to explore the influences trends, of the influencing factors to RHI by using MODIS data from 2003 to 2017. Results showed that, in summer, the area fraction of daytime RHI in YRDUA has increased from 21.74 to 31.03% in 2003 and 2017, respectively. As compared to 2003, the annual nighttime RHI area in 2017 has increased from 7510 to 20,097 km2. The dominant factors of surface RHI intensity (SRHII) showed seasonal variation. Enhanced vegetation index (EVI) (interpretation of 33.27%) was the dominant factor of daytime SRHII in spring. The most important factor was normalized difference build-up density (NDBI) (37.28% and 26.83%, respectively) in summer and autumn. In winter, precipitation (26.16%) was the most influential. At night, Modified Normalized Difference Water Index (MNDWI) had a dominant effect on SRHII in spring (54.12%), autumn (52.62%), and winter (24.19%). The dominant factor of nighttime SRHII in summer was EVI (42%). Moreover, water bodies harm RHI during the day while having a positive effect at night. These findings can provide a theoretical basis for regional environment improvement and regional sustainable development.

Risk Assessment of Flonicamid Resistance in Musca domestica (Diptera: Muscidae): Resistance Monitoring, Inheritance, and Cross-Resistance Potential.

Flonicamid is a chordotonal modulator and novel systemic insecticide that has been used frequently for controlling a broad range of insect pests. The risk of flonicamid resistance was assessed through laboratory selection and determining inheritance pattern and cross-resistance potential to five insecticides in house fly, Musca domestica L. Very low to high flonicamid resistance in M. domestica populations was found compared with the susceptible strain (SS). A flonicamid-selected (Flonica-RS) M. domestica strain developed 57.73-fold resistance to flonicamid screened for 20 generations compared with the SS. Overlapping 95% fiducial limits of LC50 of the F1 and F1ǂ, and dominance values (0.87 for F1 and 0.92 for F1ǂ) revealed an autosomal and incomplete dominant flonicamid resistance. The monogenic model of resistance inheritance suggested a polygenic flonicamid resistance. The Flonica-RS strain displayed negative cross-resistance between flonicamid and sulfoxaflor (0.10-fold) or clothianidin (0.50-fold), and very low cross-resistance between flonicamid and flubendiamide (4.71-fold), spinetoram (4.68-fold), or thiamethoxam (2.02-fold) in comparison with the field population. The estimated realized heritability (h2) value of flonicamid resistance was 0.02. With selection mortality 40-90%, the generations required for a 10-fold increase in LC50 of flonicamid were 94-258 at h2 (0.02) and slope (3.29). Flonicamid resistance was inherited as autosomal, incomplete dominant, and polygenic in the Flonica-RS. Negative or very low cross-resistance between flonicamid and sulfoxaflor, clothianidin, flubendiamide, spinetoram, and thiamethoxam means that these insecticides can be used as alternatives for controlling M. domestica. These data can be useful in devising the management for M. domestica.