Exposure to urban green spaces and mental health during the COVID-19 pandemic: evidence from two low and lower-middle-income countries.

Introduction: The COVID-19 pandemic has had a significant impact on mental health globally, with limited access to mental health care affecting low- and middle-income countries (LMICs) the most. In response, alternative strategies to support mental health have been necessary, with access to green spaces being a potential solution. While studies have highlighted the role of green spaces in promoting mental health during pandemic lockdowns, few studies have focused on the role of green spaces in mental health recovery after lockdowns. This study investigated changes in green space access and associations with mental health recovery in Bangladesh and Egypt across the pandemic. Methods: An online survey was conducted between January and April 2021 after the first lockdown was lifted in Bangladesh (n = 556) and Egypt (n = 660). We evaluated indoor and outdoor greenery, including the number of household plants, window views, and duration of outdoor visits. The quantity of greenness was estimated using the normalized difference vegetation index (NDVI). This index was estimated using satellite images with a resolution of 10x10m during the survey period (January-April 2021) with Sentinel-2 satellite in the Google Earth Engine platform. We calculated averages within 250m, 300m, 500m and 1000m buffers of the survey check-in locations using ArcGIS 10.3. Multiple linear regression models were used to evaluate relationships between changes in natural exposure and changes in mental health. Results: The results showed that mental health improved in both countries after the lockdown period. People in both countries increased their time spent outdoors in green spaces after the lockdown period, and these increases in time outdoors were associated with improved mental health. Unexpectedly, changes in the number of indoor plants after the lockdown period were associated with contrasting mental health outcomes; more plants translated to increased anxiety and decreased depression. Refocusing lives after the pandemic on areas other than maintaining indoor plants may assist with worrying and feeling panicked. Still, indoor plants may assist with depressive symptoms for people remaining isolated. Conclusion: These findings have important implications for policymakers and urban planners in LMICs, highlighting the need to increase access to natural environments in urban areas to improve mental health and well-being in public health emergencies.

Evaluation of Inbred Maize (Zea mays L.) for Tolerance to Low Phosphorus at the Seedling Stage.

In underdeveloped nations where low-input agriculture is practiced, low phosphorus (LP) in the soil reduces the production of maize. In the present study, a total of 550 inbred maize lines were assessed for seedling traits under LP (2.5 × 10-6 mol L-1 of KH2PO4) and NP (2.5 × 10-4 mol L-1 of KH2PO4) hydroponic conditions. The purpose of this study was to quantify the amount of variation present in the measured traits, estimate the genetic involvement of these characteristics, examine the phenotypic correlation coefficients between traits, and to integrate this information to prepare a multi-trait selection index for LP tolerance in maize. A great deal of variability in the maize genotype panel was confirmed by descriptive statistics and analysis of variance (ANOVA). Estimated broad-sense heritability (h2) ranged from 0.7 to 0.91, indicating intermediate to high heritability values for the measured traits. A substantial connection between MSL and other root traits suggested that the direct selection of MSL (maximum shoot length) could be beneficial for the enhancement of other traits. The principal component analysis (PCA) of the first two main component axes explained approximately 81.27% of the variation between lines for the eight maize seedling variables. TDM (total dry matter), SDW (shoot dry weight), RDW (root dry weight), SFW (shoot fresh weight), RFW (root fresh weight), MRL (maximum root length), and MSL measurements accounted for the majority of the first principal component (59.35%). The multi-trait indices were calculated based on PCA using all the measured traits, and 30 genotypes were selected. These selected lines might be considered as the potential source for the improvement of LP tolerance in maize.

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.).

Lentil yield is a complicated quantitative trait; it is significantly influenced by the environment. It is crucial for improving human health and nutritional security in the country as well as for a sustainable agricultural system. The study was laid out to determine the stable genotype through the collaboration of G × E by AMMI and GGE biplot and to identify the superior genotypes using 33 parametric and non-parametric stability statistics of 10 genotypes across four different conditions. The total G × E effect was divided into two primary components by the AMMI model. For days to flowering, days to maturity, plant height, pods per plant, and hundred seed weight, IPCA1 was significant and accounted for 83%, 75%, 100%, and 62%, respectively. Both IPCA1 and IPCA2 were non-significant for yield per plant and accounted for 62% of the overall G × E interaction. An estimated set of eight stability parameters showed strong positive correlations with mean seed yield, and these measurements can be utilized to choose stable genotypes. The productivity of lentils has varied greatly in the environment, ranging from 786 kg per ha in the MYM environment to 1658 kg per ha in the ISD environment, according to the AMMI biplot. Three genotypes (G8, G7, and G2) were shown to be the most stable based on non-parametric stability scores for grain yield. G8, G7, G2, and G5 were determined as the top lentil genotypes based on grain production using numerical stability metrics such as Francis's coefficient of variation, Shukla stability value (σi2), and Wrick's ecovalence (Wi). Genotypes G7, G10, and G4 were the most stable with the highest yield, according to BLUP-based simultaneous selection stability characteristics. The findings of graphic stability methods such as AMMI and GGE for identifying the high-yielding and stable lentil genotypes were very similar. While the GGE biplot indicated G2, G10, and G7 as the most stable and high-producing genotypes, AMMI analysis identified G2, G9, G10, and G7. These selected genotypes would be used to release a new variety. Considering all the stability models, such as Eberhart and Russell's regression and deviation from regression, additive main effects, multiplicative interactions (AMMI) analysis, and GGE, the genotypes G2, G9, and G7 could be used as well-adapted genotypes with moderate grain yield in all tested environments.

Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes.

A field experiment was carried out with 20 genotypes of Transplant Aman (T. Aman) rice at the Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706, Bangladesh. The study was performed to evaluate the genetic deviation, trait association, and path coefficient (PC) based on grain yield (GY) and different yield-contributing agronomic characters. Variance analysis displayed extensive traits-wise variations across accessions, indicating variability and the opportunity for genetic selection for desirable traits. The high mean, range, and genotypic variances observed for most of the characters indicated a wide range of variation for these traits. All the characters indicated the minimum influence of environment on the expression of the trait and genetic factors had a significant role in the expressivity of these characters. High heritability in broad sense (h2b) and high to moderate genetic advance in percent of the mean (GAPM) were recorded for all the characters except for panicle length (PL). Based on mean, range, and all genetic parameters, the selection of all the traits except for PL would contribute to the development of T. Aman rice genotypes. A correlation study revealed that selection based on plant height (PH), number of effective tillers per hill (NET), PL, number of filled spikelets per panicle (NFS), flag leaf length (FLL), spikelet sterility (SS) percentage, and harvest index (HI) would be effective for increasing the GY of rice. Genotypic correction with grain yield (GCGY), PC and principal component analysis (PCA) revealed that direct selection of NFS, HI, SS%, and FLL would be effective for improving the GY of rice in future breeding programs.

A Study on the Phenotypic Variation of 103 Cucumber (Cucumis sativus L.) Landraces for the Development of Desirable Cultivars Suitable for the Changing Climate.

The cucumber (Cucumis sativus L.) is one of the most important vegetables in Bangladesh as well as across the globe. However, many of the important cucumber landraces have disappeared in Bangladesh due to climate change, particularly erratic rainfall, extreme temperature, salinity, and drought. Therefore, to protect against the extinction of the cucumber landraces, we collected 103 landraces in different geographical regions of Bangladesh, including drought and saline-prone areas, and studied their divergence for the future breeding programme for the development of cultivars suitable for the climate-changing situations. Data on morphological features, yield, and its components, which include 17 qualitative and quantitative traits, were recorded during the observation. Among the cucumber landraces, the Shannon-Weaver diversity index analysis revealed the presence of genetic diversity in these landraces. The biggest diversity appeared in the fruit-related characteristics, i.e., stem end fruit shape, bottom end fruit shape, fruit shape, and fruit skin colour at the table and harvest maturity. The descriptive statistics and analysis of variance expressed a wide range of variability for quantitative traits. A broad phenotypic variation was also observed for traits such as yield plant-1 [CV (%) 31.88, ranges 0.96 to 3.11 kg] and fruits plant-1 (CV (%), 28.71, ranges, 2.58 to 9.75). High heritability (broad sense) coupled with a high genetic gain was observed for yield and yield-contributing characteristics, indicating that these characteristics are controlled by additive gene effects, and they are more reliable for effective selection. The phenotypic correlation studies showed that fruit yield plant-1 exhibited a positive and significant correlation with fruits plant-1, fruit length, fruit weight, fruit width, branches plant-1, and plant height. All landraces were grouped into six clusters, and the maximum number of landraces were accommodated in cluster VI (30), followed by cluster V (22), cluster III (22), cluster IV (14), cluster I (13), and cluster II (2). Comparing cluster means with studied traits revealed that cluster III with landraces AC-14, AC-97, AC-471, AC-451, and RAI-209 were more divergent for improving average fruit weight, fruit length, and fruit width. On the other hand, cluster IV with landraces AC-201, TT-161, RAI- 217, RAI-215, and TRMR-103 were more divergent for improving average vine length, internode length, and the number of primary branches plant-1, the number of fruits plant-1, and yield plant-1. According to the MGIDI index, AC-14 (G1), AC-201 (G7), AC-471 (G24), AC-97 (G30), RAI-215 (G68) and TT-161 (G 94) may be considered to be the best parents based on their qualitative and quantitative characteristics for the future breeding programme. Moreover, crossing between the landraces, which were collected from saline and drought areas, in clusters I, V, and VI with those in other clusters could produce suitable cucumber varieties for the climatic changing situation.

Post-ERCP pancreatitis: Frequency and risk stratification from four tertiary care referral hospitals in South East Asia.

Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is a dreaded complication. But the frequency of this complication varies widely (1%-40%) among the literature and across geographical regions. With uncertainty in the estimation of occurrence and having no accepted, safe, effective method to prevent it, identification of its frequency and predictable risk factors is very crucial in a local or regional setting. The aim of this study was to identify the frequency of PEP and its risk factors from 4 tertiary care referral centers from a country in the South East Asia Region. This cross-sectional study was done on 1042 consecutive ERCP in adult patients (age >18 years) with baseline serum amylase levels less than 3 times the upper level of standard value. On the basis of clinical features and the amylase level at 24 hours (the next morning), the procedure was evaluated to confirm PEP. The frequency of PEP was calculated and procedure, patient, or operator-related independent risk factors for occurring PEP were analyzed using univariate and multivariate analyses. The study found 204 (19.6%) cases of PEP. In multivariate regression analysis, young age, suspected Sphincter of Oddi Dysfunction, recurrent pancreatitis, needle papillotomy, and pancreatic sphincterotomy were significant risk factors. The univariate analysis also found difficult cannulation and pancreatic duct injection with contrast as significant risk factors. Both patient-related and procedure-related risk factors acted independently for the development of PEP, which occurred in 19.6% of cases. This multicenter assessment of the frequency and risk factors for PEP in our patients would be extremely beneficial for future prevention of this complication.

Genetic Analysis in Grain Legumes [Vigna radiata (L.) Wilczek] for Yield Improvement and Identifying Heterotic Hybrids.

Six mungbean parental lines and their fifteen F1s produced from half-diallel mating design were investigated for combining ability and heterosis in terms of a yield and its components. Results showed highly significant variations among the parents and F1s, suggesting a wide genetic variability for the studied characters. Analysis of variance indicated that genotypes mean square values, general combining ability (GCA) and specific combining ability (SCA) were highly significant (p ≤ 0.001) for all measured traits except for days to flowering, days to maturity, and pod length indicating genetic diversity of parents and both additive and non-additive gene effects in the inheritance of the measured traits. A higher effect of SCA than GCA for plant height and seeds per pod suggests the preponderance of non-additive gene effects in the expression of characters. Based on per se performance and GCA, BARI Mung-1, PS-7, and BMXK1-14004 were the best general combiners for yield per plant. In the context of SCA, hybrids BMXK1-14004 × Sonali mung, BMXK1-14004 × PS-7, BMXK1-14004 × BINA Mung-8, Sukumar × PS-7, and BARI Mung-1 × BINA Mung-8 were good specific combiners. BMXK1-14004 × Sonali mung and BMXK1-14004 × PS-7 were the best heterotic hybrids for yield and yield-contributing traits. These parents and crosses could be utilized for further use in breeding programs to improve yields in mungbean crops.

Role of 4-H Serum Lipase Level in Predicting Postendoscopic retrograde Cholangiopancreatography Pancreatitis.

INTRODUCTION: Serum amylase level can rise asymptomatically after endoscopic retrograde cholangiopancreatography (ERCP). Thus, its assay can lead to overprediction of post-ERCP pancreatitis (PEP). Lipase assay is used to diagnose other forms of pancreatitis but usually not for PEP. OBJECTIVES: The aim of this study was to predict whether lipase may be of better use for the early prediction of PEP. METHODS: One hundred and twenty-five consecutive ERCPs performed over a period of 1 year and 9 months were observed. On admission (baseline) and after ERCP at 4 and 24 h, serum amylase and lipase were measured. Based on sensitivity and specificity from the receiver operator characteristic (ROC) curve, optimal cutoff levels for the enzyme, serum lipase, and amylase levels were employed to predict PEP. RESULTS: Out of 125 patients, 26 (20.8%) developed PEP. In multivariate analysis, young age, suspected sphincter of Oddi dysfunction, recurrent pancreatitis, and needle papillotomy were significant risk factors. Considering the optimum cutoff level (single value with the best sensitivity and specificity), both the enzyme amylase and lipase evaluated at 4 h were significant (Chi-square test: P =0.0001 for both the enzymes). However, multivariate regression analysis and levels of enzymes at different cutoff values in the ROC found that 4-h lipase levels were more (about 4 times) increased of the upper limit of normal range than amylase levels (1.19 times). CONCLUSION: The enzyme, serum amylase, and lipase evaluated at 4 h after ERCP were satisfactory predictors for PEP. However, when compared, serum lipase was more reliable than amylase.

Chemiluminescence-imaging detection of DNA on a solid-phase membrane by using a peroxidase-labeled macromolecular probe.

We have developed a novel method for sensitive chemiluminescence (CL)-imaging detection of DNA by using a macromolecular probe synthesized by attaching multiple molecules of horseradish peroxidase (HRP) and biotin in dextran backbone. The probe formed a macromolecular assembly by binding to streptavidin which specifically recognized biotinylated complementary DNA, which was hybridized to a target DNA on a solid-phase membrane. This methodology was applied to CL-imaging detection of a synthetic telomere DNA (TTAGGG)10 and human telomere DNA by using the CL probe comprising of dextranT2000 (MW=ca. 2000kDa) bonded to approximately 42 molecules of HRP and 210 molecules of biotin. The human telomere DNA in a small number of buccal mucous cells (ca. 70 cell numbers) of cheek tissue was quantitatively determined by the proposed CL detection method that afforded approximately 10 times higher sensitivity than that of the conventional CL method using commercially available HRP-avidin probe.

Carbon nanofiber-based luminol-biotin probe for sensitive chemiluminescence detection of protein.

A carbon nanofiber-based luminol-biotin probe was synthesized for the sensitive chemiluminescence (CL) detection of a target protein by grafting luminol and biotin onto an oxidized carbon nanofiber. This carbon nanofiber was prepared by chemical vapor-deposition with methane in the presence of the Ni-Cu-MgO catalyst, which was followed by oxidization with HNO3-H2SO4 to produce a carboxyl group on the surface of the nanofiber. The material was grafted with luminol and biotin by means of a standard carbodiimide activation of COOH groups to produce corresponding amides. The substance was water-soluble and thus could be utilized as a sensitive CL probe for a protein assay. The probe showed highly specific affinity towards the biotin-labeled antibody via a streptavidin-biotin interaction. The detection limit for this model assay was approximately 0.2 pmol of the biotinized IgG spotted on a polyvinylidene fluoride (PVDF) membrane. Nonspecific binding to other proteins was not observed. Therefore, the synthesized carbon nanofiber-based CL probe may be useful for a sensitive and specific analysis of the target protein.

Alkaline phosphatase-labeled macromolecular probe for sensitive chemiluminescence detection of proteins on a solid-phase membrane.

In the present study, we synthesized dextran (MW = ca. 2,000 kDa)-based macromolecular probes containing multiple molecules of alkaline phosphatase (ALP) as a signal-trigger enzyme and of biotin as an assembly mediator. The ALP and biotin molecules were covalently attached into the dextran backbone after the formation of aldehyde groups into the macromolecule by periodate oxidation. The synthesized probes contained 27-31 molecules of ALP in their macromolecules when 50-fold molar ratio of ALP to the dextran was used for the synthesis. These probes provided 14-20 times stronger chemiluminescence (CL) than that of the equimolar free ALP adsorbed on a nylon membrane. The velocity of the CL reaction of ALP-catalyzed adamantlyl-1,2-dioxetane substrate was improved from a slower emission (glow type) of CL to a faster one (flash type). The CL signal integrated for 2 min under strongly alkaline conditions (pH 13.0) was about ten times greater than that obtained by the conventional conditions (pH 9.5). Therefore, the synthesized macromolecular probe could be successfully utilized for the high-throughput CL detection of biotin-conjugated anti-rabbit IgG antibody with a lower detection limit of 880 amol per spot on the nylon membrane. This study provides analytical strategy for the rapid, convenient, and sensitive detection of target proteins in immunoassays.

Alginic acid-based macromolecular chemiluminescent probe for universal protein assay on a solid-phase membrane.

A novel chemiluminescent (CL) technique for the rapid determination of proteins on a membrane is described. The method utilizes an interaction between luminol-labeled alginic acid macromolecule and proteins. The synthesis of the macromolecular probe consists of the oxidation of alginic acid with NaIO(4), the introduction of luminol through imine formation as a CL tag, and the reduction of the conjugate with NaBH(4) to obtain the stable probe. The analytical protocol consists of adsorbing proteins on a poly(vinylidene difluoride) (PVDF) membrane, incubating the membrane for 30 min with the probe solution in the presence of boric acid and a surfactant, two short washing steps in order to remove an excess of the probe, and detection of CL intensity with hemin, tetra-n-propylammonium hydroxide and H(2)O(2). This proposed CL assay for proteins can be finished within 1 h, and indicates the detection limit of 15-250 ng of proteins on the membrane. The CL signals in the calibration curves for some proteins such as albumin show proportional intensities against the amounts of the proteins less than ca. 125 ng, though there is a logarithmic relationship between the CL signals and the protein amounts larger than ca. 125 ng. However, some other proteins indicate the proportional CL intensities against the increasing amounts in wider range up to 500 ng of the proteins. The synthesised alginic acid-based probe indicates specific selectivity towards proteins, and should be used as a CL probe for the universal detection of various proteins on a solid-phase membrane even in the presence of DNA and RNA.

Common transfusion-transmitted infectious agents among thalassaemic children in Bangladesh.

Transfusion-dependent children are more prone to acquiring various transfusion-transmitted infections (TTIs), such as hepatitis B (HBV), hepatitis C (HCV), HIV, and others. Since the magnitude of these infections among thalassaemic children in Bangladesh is not well-known, this study was conducted to assess the prevalence of TTIs among them (who received more than three blood transfusions) compared to their age- and sex-matched controls (non-thalassaemics and those who had never had a transfusion). Seromarkers for HBV, HCV, HDV, Treponema pallidum, and HIV were tested, and the results were analyzed using SPSS/Windows 10.5. Of 259 children studied, 152 (58.69%) were thalassaemic (mean age 6.8 +/- 3.6 years), and 107 were controls (mean age 6.7 +/- 3.53 years). The HBV and HCV-markers were found significantly more often among multi-transfused thalassaemic children than among the controls in terms of HBsAg (13.8% vs 6.5%, p < 0.04), anti-HBc total (39.5% vs 9.4%, p < 0.0001), and anti-HCV (12.5% vs 0.9%, p < 0.0001). HBeAg did not differ (p = 0.82) between the thalassaemics (9.52%) and the controls (14.28%), whereas anti-HBe differed (0% vs 57.14%, p < 0.003). Neither the thalassaemics nor the controls were positive for HDV, HIV, or T. pallidum. Since more thalassaemic children acquired hepatitis B and C infections through multiple blood transfusions, it is recommended that the safe blood-transfusion programme be strengthened and mass vaccination against HBV (even who suffer from HCV) in Bangladesh be undertaken.