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Soil degradation due to global warming, water scarcity and diminishing natural resources negatively impacts food security. Soil fertility deterioration, particularly phosphorus (P) deficiency, remains a challenge in the arid and semi-arid regions. In this study, field experiments were conducted in different geographical locations to investigate the effects of organic amendments coupled with P fertilization and irrigation on soil physical-chemical properties, and the growth, yield and quality of wheat. Application of P fertilizers combined with organic amendments mitigated soil salinity, increased organic matter content, available water, hydraulic conductivity and available macronutrients, but decreased soil bulk density. Application of organic amendments slightly increased total Cd, Ni and Pb in soil, but Cd and Ni concentration was below allowable limits whilst Pb reached a hazardous level. Soil P fractions were significantly increased with the combined application of mineral P and organic amendments irrespective of salinity and irrigation. Crop growth yield and quality of wheat improved significantly in response to the integrated application of mineral P and organic amendments. In conclusion, the combination of mineral P sources with organic amendments could be successfully used as a cost-effective management practice to enhance soil fertility and crop production in the arid and semi-arid regions stressed with water scarcity and natural resource constraints.

Abstract The impacts of climate change and possible adaptations to food security are a global concern and need greater focus in arid and semi-arid regions. It includes scenario of Coupled Model Intercomparison Phase 5 (CMIP-RCP8.5). For this purpose, two DSSAT maize models (CSM-CERES and CSM-IXIM) were calibrated and tested with two different maize cultivars namely Single Cross 10 (SC10) and Three Way Cross 324 (TW24) using a dataset of three growing seasons in Nile Delta. SC10 is a long-growing cultivar that is resistant to abiotic stresses, whereas TW24 is short and sensitive to such harsh conditions. The calibrated models were then employed to predict maize yield in baseline (1981–2010) and under future time slices (2030s, 2050s, and 2080s) using three Global Climate Models (GCMs) under CMIP5-RCP8.5 scenario. In addition, the use of various adaptation options as shifting planting date, increasing sowing density, and genotypes was included in crop models. Simulation analysis showed that, averaged over three GCMs and two crop models, the yield of late maturity cultivar (SC10) decreased by 4.1, 17.2, and 55.9% for the three time slices of 2030s, 2050s, and 2080s, respectively, compared to baseline yield (1981–2010). Such reduction increased with early maturity cultivar (TW24), recording 12.4, 40.6, and 71.3% for near (2030s), mid (2050s), and late century (2080s) respectively relative to baseline yield. The most suitable adaptation options included choosing a stress-resistant genotype, changing the planting date to plus or minus 30 days from baseline planting date, and raising the sowing density to 9 m−2 plants. These insights could minimize the potential reduction of climate change-induced yields by 39% by late century.

Wheat’s nutritional value is critical for human nutrition and food security. However, more attention is needed, particularly regarding the content and concentration of iron (Fe) and zinc (Zn), especially in the context of climate change (CC) impacts. To address this, various controlled field experiments were conducted, involving the cultivation of three wheat cultivars over three growing seasons at multiple locations with different soil and climate conditions under varying Fe and Zn treatments. The yield and yield attributes, including nutritional values such as nitrogen (N), Fe and Zn, from these experiments were integrated with national yield statistics from other locations to train and test different machine learning (ML) algorithms. Automated ML leveraging a large number of models, outperformed traditional ML models, enabling the training and testing of numerous models, and achieving robust predictions of grain yield (GY) ( R 2 > 0.78), N ( R 2 > 0.75), Fe ( R 2 > 0.71) and Zn ( R 2 > 0.71) through a stacked ensemble of all models. The ensemble model predicted GY, N, Fe, and Zn at spatial explicit in the mid-century (2020–2050) using three Global Circulation Models (GCMs): GFDL-ESM4, HadGEM3-GC31-MM, and MRI-ESM2-0 under two shared socioeconomic pathways (SSPs) specifically SSP2-45 and SSP5-85, from the downscaled NEX-GDDP-CMIP6. Averaged across different GCMs and SSPs, CC is projected to increase wheat yield by 4.5%, and protein concentration by 0.8% with high variability. However, it is expected to decrease Fe concentration by 5.5%, and Zn concentration by 4.5% in the mid-century (2020–2050) relative to the historical period (1980–2010). Positive impacts of CC on wheat yield encountered by negative impacts on nutritional concentrations, further exacerbating challenges related to food security and nutrition.

The choice of phosphate fertilizer has a special concern in alkaline soils due to its direct effect on the availability and uptake of phosphorus and micronutrients, as it can affect the rate of ammonia volatilization. This study aims to increase potato productivity in alkaline soils and reducing ammonia emissions by using acid fertilizers and controlling the amount of irrigation water. Two-year field trials were conducted in 2018 and 2019 growing seasons to investigate the influence of irrigation levels and P fertilizers on potato yield and ammonia volatilization from Arenosols. Potato ( Solanum tuberosum , L.) cv Kara Spp. plants were irrigated at 75 or 100% of the evapotranspiration (ET 75 and ET 100 ) and were fertilized with monopotassium phosphate (MPP) or urea phosphate (UP), beside a control treatment without P addition. UP minimized the soil pH to 6.95 and 7.00 in the ET 75 and ET 100 treatments, respectively, compared to 7.80 and 7.85 in the case of MPP. The maximum potato tubers yield was achieved from ET 100 and UP. The cumulative NH 3 volatilization ranged between 33 and 85 N kg ha −1 per season which was accounted for 12 to 27% of the total applied nitrogen. UP and ET 100 minimized the N loss from 27 to 12%. Reducing the levels of added water increased the quality of tubers and efficiency of the added water, but it caused a significant loss in the total and marketable yield and elevated the rate of ammonia emissions from the calcareous sandy soils. The acidic P fertilizers are effective in reducing the ammonia loss and increase the availability of micronutrients.

The SARS-CoV-2 virus's frequent mutations have made disease control with vaccines and antiviral drugs difficult; as a result, there is a need for more effective coronavirus drugs. Therefore, detecting the expression of various diagnostic biomarkers, including ncRNA in SARS-CoV2, implies new therapeutic strategies for the disease. Our study aimed to measure NEAT-1, miR-374b-5p, and IL6 in the serum of COVID-19 patients, demonstrating the correlation between target genes to explore the possible relationship between them. Also, the association between target genes and patients' clinical findings and radiological severity indices will be explored. The current study included 48 COVID-19-infected individuals and 40 controls. Quantitative real-time PCR (qPCR) was performed to detect lncRNA NEAT-1 and miRNA374b-5p fold change (FC) in the participants' sera. Enzyme-Linked Immune Sorbent Assay (ELISA) is used to detect IL6. Our results showed statistical significance with lower levels of (NEAT-1) [ median (range) = 0.08 (0.001-0.602)], and (miR374b-5p) [ median (range) = 0.14 (.01-7.16)] while higher IL-6 levels [ median (range) = 41.3 (7.2-654) pg/ml] when compared to controls with p-value <0.001. Serum level of NEAT-1 correlates negatively with IL-6 level (r = -.317, P = .008). ROC curve analysis revealed that sensitivity and specificity tests for NEAT-1 and IL-6 levels in the diagnosis of cases illustrated a sensitivity of (100% and 97.9%) and a specificity of (85% and 100%) at cut-off values (0.985 and 12.55), respectively. In comparison, miR374b-5p showed sensitivity and specificity of around 85% in distinguishing COVID-19 patients from controls. No significant association was detected between target genes and radiological severity indices. Our study is the first to detect decreased NEAT-1 and miR374b-5p expression in COVID-19 patients' serum. There was also an increase in IL6 levels. There is a negative correlation between NEAT-1 and IL6 in COVID-19 patients.

The existence of aflatoxin M1 (AFM1) in raw milk results in economic losses and public health risks. This research aims to examine the capability of bentonite to adsorb and/or eliminate AFM1 from various raw milk types. In addition, the effects of numerous bentonites (HAFR 1, 2, 3 and 4) on the nutritional characteristics of the milk were studied. Our findings revealed that goat milk had the highest value of AFM1 (490.30 ng/L) in comparison to other milks. AFM1 adsorption was influenced by applying bentonite (0.5 and 1 g) in a concentration-dependent manner for different time intervals (from 0 to 12 h). The percentage of AFM1 reached the maximum adsorption level after 12 h to 100, 98.5 and 98% for bentonites HAFR 3, 1 and 2, respectively. HAFR 3 (1 g bentonite) presented higher adsorption efficiency than other bentonites used in the phosphate buffer saline (PBS) and milk. Residual levels of AFM1 reached their lowest values of 0 and 1.5 ng/L while using HAFR 3 in PBS and milk, respectively. With regard to the influence of bentonite on the nutritional characteristics of milk, there was an increase in fat, protein and solid non-fat ratio while using HAFR 3 and 4, yet decreased lactose in comparison with the control. Scanning Electron Microscopy and Fourier Transform-Infrared Spectroscopy both identified bentonites as superior AFM1 binders. The results demonstrated that bentonite, particularly HAFR 3, was the most effective adsorbent and could thus be a promising candidate for the decontamination of AFM1 in milk.

The main purpose of this study was to optimize the L-citrulline production process using Plackett-Burman and Box-Behnken designs. L-citrulline-producing bacterium BH-01 was isolated from raw buffalo milk. The isolate was tested for probiotic activities such as tolerance to simulated gastric and intestinal juices, antagonistic activity against six antibiotic-resistant bacteria, and temperature tolerance. L-citrulline production and arginine deiminase (ADI) activity were optimized using statistical designs. The bacterial isolate was molecularly identified as Bacillus subtilis strain AUMC B-498 (accession number PP574248.1). The strain exhibited resistance at pH 2.0 and bile salt 0.5% for a two-hour exposure period. It could inhibit the growth of Escherichia coli , Klebsiella pneumonia , Serratia sp., Staphylococcus aureus , methicillin - resistant Staphylococcus aureus (MRSA), and Streptococcus pneumoniae. From the results of statistical optimization, the Plackett-Burman design identified temperature, L-arginine, incubation period, and peptone as the most effective factors among the eight selected variables. Based on these, the Box-Behnken design was used to optimize the factors required to maximize citrulline production. The maximum L-citrulline was 632.5 µg/L, and ADI activity was 1.42 U/mL. Therefore, BH-01 isolated from Buffalo milk might be a promising candidate in food, biotechnological, and pharmaceutical applications due to its dual functionality for citrulline production and probiotic characteristics.

Purpose To evaluate the efficacy and safety of accelerated corneal cross-linking (A-CXL) while preserving the epithelium over the central 3 mm of the cornea compared to epithelium removal CXL in cases of paracentral keratoconus. Methods In this prospective comparative study, 140 eyes of 77 patients were randomized to receive either A-CXL with preservation of the central 3 mm of corneal epithelium or A-CXL with removal of whole corneal epithelium over a central disk area with a diameter of 9 mm. Patients were observed regularly for 1 year after the procedure. The primary outcome measures were to compare early uncorrected distance visual acuity (UDVA) and corrected distance visual acuity (CDVA), corneal haze, pain, and discomfort in the first week between the two groups. The secondary outcome measure was keratoconus progression after 12 months of follow-up, measured by the maximum keratometry (Kmax) value. Results A significant difference was found between the two groups regarding early postoperative CDVA, corneal haze, pain, and discomfort, with more favorable results in the ACXL with preservation of the central 3 mm of corneal epithelium group. At 12 months of follow-up, a significant improvement in UDVA, CDVA, and Kmax was noticed among patients of the same group, with better final vision and a reduction in Kmax as compared to the preoperative values. Conclusions Preserving the epithelium over the central 3 mm of the cornea during A-CXL in cases with paracentral keratoconus can provide the benefits of immediate early postoperative visual rehabilitation, less corneal haze, less pain, good efficacy, and prevention of keratoconus progression. [J Refract Surg. 2025;41(5):e492–e500.]

The need to enhance the performance of building façades and mitigate adverse environmental impacts has promoted the hypothesis of integrating green materials towards sustainable buildings. Façade designers tend to select building materials based on their green characteristics (origin) or green performance; however, this study highlights the importance of integrating both into the decision process. The main objective is to develop a new assessment process for selecting green building façade materials based on green performance and green originality. Furthermore, the evaluation framework considers four green building rating systems as a reference to allocate credits for the relevant criteria. Applying the proposed criteria in this study helps maximize the points for accreditation when incorporating green building materials in building façades. Moreover, the Analytic Hierarchy Process (AHP) is used to assign the proposed criteria’s weighting importance based on the four rating systems’ average points. After that, performing sensitivity analysis to identify each criterion’s influence is conducted. The study concluded that involving minimum levels of adverse impacts is the preferable criteria regarding the green origin concept. As for the green performance, promoting the performance of indoor air quality is the most favorable selection criteria.

Recently, many challenges have emerged in the dyes and textile fields to keep pace with the needs of the modern era while achieving safety and comfort during usage. Where the fluorescent dye caused a major boom in the field of dyes and was used to paint many surfaces for exciting and to attract attention purpose. They were utilized on textiles, particularly those composed of synthetic materials employed in hazardous areas such as traffic roads, where they become more visible upon exposure to light. Therefore, this research aims to investigate the color fastness, physio-mechanical properties, and UV resistance of fabrics produced by knitting techniques from polyester blended with cotton or bamboo and dyed with fluorescence dyes as dispersing yellow and red dyes. The evaluation results of dyed fabrics pointed to the dispersed red dyes improved the physio-mechanical, comfortable and colorfastness properties of polyester/cotton samples compared to polyester/bamboo samples except bursting resistance, while the dispersed yellow dyes considerably enrich the ultraviolet protections of polyester/bamboo samples compared to polyester/cotton.