Land use optimization using the fuzzy mathematical-spatial approach: a case study of Chelgerd watershed, Iran

In recent years, inappropriate land use, urban and industrial development along with different pollutions emanating from it gives rise to loss of natural resources and further leads to destructive floods, soil erosion, sedimentation and other various environmental, economic and social damages. Thus, management and planning are essential for the proper utilization, protection and revival of these resources. This study aimed to develop a mathematical-spatial optimum utilization model using FGP – MOLA in watershed including environmental and economic objectives while considering social issues. The results showed that the proposed model can lead to economic growth to 37% and decreasing the environmental damages to 2.4%. Under optimized condition, the area allocated to dry farming lands will decrease about 12% and gardens will increase about 423% and the other land uses remain unchanged too. In addition to, the results demonstrated the usefulness and efficiency of the proposed fuzzy model due to its flexibility and capability to simultaneously provide both optimum values and location of production resources

Effects of Iron Deficiency and Iron Deficiency Anemia on Visual Evoked Potential in Women

Background: Visual evoked potential is one of the main methods to investigate visual pathway. Some studies in children show that iron deficiency anemia affects on visual evoked potential waves. In this study, we evaluated the effect of iron deficiency and iron deficiency anemia on visual evoked potential in adults. Materials and Methods: This cross sectional study was conducted on 99 non-pregnant women. Patients divided into three groups. Women whose ferritin and hemoglobin levels are less 15 ng/1 and 12 mg/dl placed in iron deficiency aimena group, women whose ferritin level is less than 15 ng/1 and hemoglobin level is more than 12 mg/dl, placed in iron deficiency puorg and women whose ferritin and hemoglobin levels are more than 50 ng/1 and 12 mg/dl, chosen as control group. Visual evoked potential was done from both eyes and the results evaluated by ANOVA test. Results: The average of N75 latency was 65.24±5.06 miliscecond in anemia group, 66.27±7.77 miliscecond in iron deficiency group and 67.19±6.79 miliscecond in control group. The average of P100 latency was 101.60±9.05 miliscecond in anemia group, 102.75±7.91 miliscecond in iron deficiency group and 100.67±7.34 miliscecond in control group. The average of N135 latency was 139.18±31.21 miliscecond in anemia group, 144.81±10.73 miliscecond in iron deficiency group and 141.81±10.73 miliscecond in control group. There is no significant difference between the average of waves’ latency in iron deficiency and anemic groups with control group. Conclusion: Iron deficiency and iron deficiency anemia don’t make any disruptions on visual evoked potential and are not considered as confounding factor of visual evoked potential in adults

Germination of Triticum aestivum L.: Effects of soil–seed interaction on the growth of seedlings

© 2022 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/soilsystems6020037Seed size, sowing depth, and seed disinfection can affect seed germination and seedling establishment, which, in turn, can directly affect crop growth and yield. The current study was comprised of two experiments, the first of which was conducted in the laboratory, and a second which was performed under glasshouse conditions. The objective of these experiments was to investigate the effects of seed size, sowing depth, and seed disinfection on seed germination and initial seedling growth of selected wheat (Triticum aestivum L.) cultivars. The treatments in laboratory experiment were arranged in a completely randomized design, which included: (Ι) four wheat cultivars (Pishgam, Haydari, Soissons, and Mihan), (ΙΙ) two seed size classes (x < 2.25 mm, and x > 2.25 mm), and two disinfection treatments (no-disinfection and disinfection), (ΙΙΙ) with five replicates. In addition to the aforementioned treatments, the effect of planting depth (4, 6, and 8 cm) was also investigated in the subsequent glasshouse experiment. The best results were obtained at a sowing depth of 4 cm, in the non-disinfected treatment, using large seeds. In contrast, the lowest percentage and speed of seed germination and vigor index were observed in seeds sown at 8 cm depth, in the disinfected seed treatment, using small seeds. Large seeds contain larger nutrient stores which may improve seed germination indices, which would therefore result in improved percentage and speed of seed germination, followed by faster coleoptile and seedling growth, higher seedling dry weight and seed vigor. These data also illustrated that seed disinfection in the Pishgam and Haydari cultivars had inhibitory effects upon coleoptile growth and seedling length, which could be related to the fungicide’s chemical composition. Unlike other cultivars, disinfection did not show a significant effect on the Soissons cultivar. Based on our data, in order to improve both the speed of wheat seed germination and subsequent plant growth and development; it is necessary to select high-quality, large seeds, planted at a specific planting depth, which have been treated with an effective disinfectant; all of which will be specific for the wheat cultivar in question. Overall, the current study has provided useful information on the effect size seed, sowing depth, and disinfection have upon germination characteristics and seedling growth of wheat cultivars, which can form the basis for future field scale trails.Published onlin

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

Reducing Nitrogen Loss By Application Of Natural Clinoptilolite Modified With Quaternary N-Alkyl Agent As Controlled-Release Fertilizer In Two Species Of Beans (P. Vulgaris And Vigna Unguiculata)

In this work, a novel controlled-release fertilizer (CRF) was designed by using new quaternary N-alkyl as an innovative surface modifier for clinoptilolite in order to adsorb the nitrate anion. So far, a few number of commercial cationic surfactants have been introduced for engineered zeolites to adsorb and slow release anions. Therefore, an organic ligand was synthesized for the first time and was applied for modification of clinoptilolite. Investigating the effect of pH and adsorbent dosage showed that the experimental adsorption data were fitted well with the Langmuir and Freundlich isotherm models. Moreover, nitrate leaching tests were performed and the results confirmed that nitrate concentration of the leachate from the soil amended with novel fertilizer was 42% lower than that of the urea fertilizer. The growth parameters including were studied and the results showed that the red beans planted in the soil amended with modified fertilizer had the best results

The Effect of Mycorrhizal Inoculation of Fenugreek (Trigonella foenum-graecum L.) on its Yield and Some Physiological Characteristics Under Drought Conditions

To study the effects of mycorrhizal inoculation of fenugreek (Trigonella foenum-graecum L.) plants and on its growth and yield under drought stress conditions a greenhouse experiment was carried out in split plot using a randomized complete block design at Zabol University green house in 2013. Treatments were three drought stresses: control, mild stress and severe stress (70, 50 and 30% FC) assigned to main plots, and three species of mycorrhizal treatments (Glomus intraradices, G. versiform, G. mosseae and non-inoculation as control) to sub-plots. The effects of drought on all traits under study were significant, and reduced number of leaves per plant, plant height, root length, chlorophyll b and total chlorophyll by 15.6, 7.6, 10.7, 2.5 and 8.4 % and increased proline and carbohydrates by 38.6 and 17.7 % as compared with the control. Mycorrhizal treatments did not affect the amount of carbohydrates and proline content significantly. Interaction of mycorrhiza and drought stress was significant on grain yield, chlorophyll a and total chlorophyll. Among the mycorrhizal strains G. mosseae affected the traits significantly under drought conditions. The results suggested that mycorrhizal treatments of plants at different drought stresses could improve grain yield of fenugreek and reduce the negative effects of drought by increasing photosynthetic pigments and other quantitative and qualitative traits

Biochemical and Botanical Aspects of Allium sativum L. Sowing

The main aim of this study was to evaluate the yield and compliance of selected Iranian garlic (Allium sativum L.) cultivars, including Tuyserkan (TSN), Heydareh (HDH), Mouien (MUN), and Taroom (TRM), during two growing seasons. The TRM cultivar germination rate is higher than the other cultivars studied. The TRM cultivars have quite remarkable values for the dry weight, fresh weight, stem diameter, and the number of leaves present. The fresh weight and dry weight of the TRM cultivar for the second year are 33.8 t/ha and 16.7 t/ha, respectively. However, on average, the HDH cultivar is the tallest plant in the experiments. Average pyruvic acid content in fresh samples of the TRM and HDH cultivars is 78 µm/gfw and 69.3 µm/gfw, respectively. It is observed that there are remarkable differences in the level of pyruvic acid between the different cultivars. The growth, development, and yield of plants are highly dependent on their genetic characteristics; in this experiment, the TRM cultivar shows a good yield (16.7 t/ha), and the evaluated characteristics improve compared to the other cultivars studied, which could be due to the high compatibility of this cultivar to the environmental conditions of the study. The excellent performance on the yield of TRM makes this cultivar more appreciable on a commercial level

Nanoparticles Based-Plant Protein Containing <i>Rosmarinus officinalis</i> Essential Oil; Fabrication, Characterization, and Evaluation

The toxicity risks, instability of essential oil, and complex composition are principal obstacles to using essential plant oil for clinical applications. Solving stability-related problems, providing targeted drug delivery, and decreasing plant essential oil toxicity, encapsulation can be used successfully. Rosemary (Rosmarinus officinalis) is a perennial plant of the Lamiaceae family with various healing properties. However, the rosemary essential oil, as volatile oil, is fast evaporated, which limits its applications. This study’s goal is to boost the prevent evaporation and bioactivity of rosemary essential oil by developing zein-NPs as a promising NDS (nano-drug-delivery system) and assessing the effect of NPs on the rosemary essential oil efficacy. Scanning electron microscopy (SEM) showed NPs sizes between 70–200 nm. With dynamic light scattering analysis (DLS), the average size of zein nanoparticle-containing rosemary essential oil (NPZLA) was obtained at ca. 154.5 nm. The entrapment efficiency (EE) on rosemary essential oil was ca. 71% inside the zein NPs. The in vitro release suggests that the polymeric barrier can control the rosemary essential oil release. Zein-NPs can be potentially used as NC (nanocarrier) for enhancing the evaporation inhibitor of ether oil of rosemary essential oil to enhance its bioavailability and performance further. It can be concluded that rosemary plant can be used as the core inside the nanoparticle by biological production method due to its medicinal properties and other properties. Based on the stated content, it is clear that in the future, by conducting more extensive research, the necessary platform can be provided for the use of this medicinal plant as much as possible in the pharmaceutical industry