People, ecosystems and resources are three crucial components for understanding resource use conflicts. This study examines resource use conflicts in two coastal villages of south-western Bangladesh, where access to resources are essential to rural livelihoods. Resource utilization conflicts can emerge when interests and needs of different users groups are incompatible or denied by each other. Considering these issues, this study has taken as an effort to explore the issues, reasons, stage, scale and impact of conflicts. Relevant data were collected through questionnaire survey, Focus Group Discussions (FGD) and Key Informant Interview (KII). The study found that rapid encroachment of crop land into shrimp farming, contrasting dynamic occupational practices, human made over use or overstrain of natural resources combined with environmental degradation and climate change, pose serious threat to human security. These rapid, and mostly unexpected changes provoke conflicts among the dominant resource user groups. Moreover, driver of conflicts and typological classification were addressed to make them comparable in the sense which one requires the most attention according to the predicted scale and urgency of impact. Conflict management strategies were discussed by four building blocks which might be a remarkable part of conflict prevention in the study area.
The present study was carried out to characterize leachate from waste dumping site and its impact on surrounding surface water quality at Rajbandh in Khulna. For this purpose, surface water samples (10) and leachate samples (5) were taken from the site during two season the monsoon season and post monsoon respectively. The samples were taken during the daytime from 9 a.m. to 1 p.m because at midday the temperature rises and the physico-chemical parameters of the water are modified. Some physico-chemical parameters such as pH, Electrical conductivity (EC), Total dissolved Solids (TDS), Dissolve Oxygen (DO), Chloride (Cl-), Magnesium (Mg2+), Calcium (Ca2+), Sodium (Na+), Potassium (K+), Biological Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Iron (Fe2+), Phosphate (PO43-), Sulfate (SO42-), Nitrate (NO32-) were analyzed in the laboratory in accordance with standard laboratory procedure. As well as some heavy metals such as Cadmium, Chromium, Lead, Manganese, Iron and Zinc were also analyzed in the laboratory. It is observed that, the physicochemical characteristics of surface water and leachate samples vary among the parameters in two seasons throughout the study period. The concentration of TDS and EC were found to be high in leachate compare to surface water samples that might be caused due to the existence of high-level various anions and soluble salts with other inorganic components. In monsoon the TDS values ranged from 3227 ± 2357 for leachate and 737 ± 498 for surface water samples whereas in post-monsoon the variation followed by 4640 ± 1790 and 803 ± 232 for surface water and leachate respectively. In case of EC for leachate it varied from 3630 ± 1397 and 4900 ± 1734 for monsoon and post-monsoon seasons correspondingly but varied from 1473 ± 498 in monsoon and 1627 ± 473 in post-monsoon for surface water samples. The high concentration of BOD (3.91 ± 1.54 in monsoon and 6.25 ± 3.27 in post- monsoon) and COD (117.80 ± 58.31 in monsoon and 229.39 ± 166.55 in post-monsoon) value were found in surface water samples compared to leachate samples. In case of Cr for leachate it varied from 0.081 ± 0.029 and 0.070 ± 0.026 for monsoon and post-monsoon seasons correspondingly. As well as the concentration of Cd (0.023± 0.006 in monsoon and 0.087±0.068 in post monsoon) and Pb (0.35±0.109 in monsoon and 0.025±0.013 in post monsoon) varied greatly during both season. The concentration of heavy metals such as Pb, Zn, Cr and Mn in surface water samples was also greater than 0.001mg/l. Further for leachate COD was very strongly correlated with TDS and cadmium. Magnesium was significantly correlated with potassium. For surface water sample TDS was significantly correlated with EC and pH. Chloride was significantly correlated with Cd and pb was correlated with calcium. This study recommended that the authority should take proper steps for the management of waste as well as give emphasis on the leachate collection.
To minimize the outspread of COVID-19, the government announced the closure of all educational institutions on March 18, 2020, and it has continued since then. This extended break from educational institutes has affected the lives of students profoundly. Though face-to-face classes have been replaced by online classes, the effectiveness of the online learning system is impeded by poor technological infrastructure and stable internet access. Besides, important exams like board exams, university admission exams, and university semester exams have been suspended during this period resulting in session jam. Numerous students are also going through learning loss. Apart from academic loss, there have been reported augmented cases of child marriage, child labor, child abuse, malnutrition, and online abuse due to the extended shutdown. This protracted closure has also impacted students’ mental health, physical activity, and behavioral changes. Hence, there have been increased incidences of depression, mental disorders, and suicides. Considering all these aspects, now both parents and students intend to recommence the in-person classes supporting the reopening of all institutes. Bioresearch Commu. 7(2): 1038-1041, 2021 (June)
Background A variety of accessible data, including those of single-nucleotide polymorphisms (SNPs) on the human p53 gene, are made widely available on a global scale. Owing to this, our investigation aimed to deal with the detrimental SNPs in the p53 gene by executing various valid computational tools, including—Filter, SIFT, PredictSNP, Fathmm, UTRScan, ConSurf, SWISS-MODEL, Amber 16 package, Tm-Adjust, I-Mutant, Task Seek, GEPIA2 after practical and basic appraisal, dissolvable openness, atomic progression, analyzing the energy minimization and assessing the gene expression pattern. Results Out of the total 581 p53 SNPs, 420 SNPs were found to be missense or non-synonymous, 435 SNPs were in the three prime UTR, and 112 SNPs were in the five prime UTR from which 16 non-synonymous SNPs (nsSNPs) were predicted to be non-tolerable while PredictSNP package predicted 14. Concentrating on six bioinformatics tools of various dimensions, a combined output was generated, where 14 nsSNPs could exert a deleterious effect. We found 5 missense SNPs in the DNA binding domain's three crucial amino acid positions, using diverse SNP analyzing tools. The underlying discoveries were fortified by microsecond molecular dynamics (MD) simulations, TM-align, I-Mutant, and Project HOPE. The ExPASy-PROSITE tools characterized whether the mutations were located in the functional part of the protein or not. This study provides a decisive outcome, concluding the accessible SNPs' information by recognizing the five unfavorable nsSNPs—rs28934573 (S241F), rs11540652 (R248Q), rs121913342 (R248W), rs121913343 (R273C), and rs28934576 (R273H). By utilizing Heatmapper and GEPIA2, several visualization plots, including heat maps, box plots, and survival plots, were produced. Conclusions These plots disclosed differential expression patterns of the p53 gene in humans. The investigation focused on recognizing the detrimental nsSNPs, which augmented the danger posed by various oncogenesis in patients of different populations, including within the genome-wide studies (GWS).
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