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Purpose - A set of guidelines widely agreed by the international humanitarian aid community, such as the Sphere Handbook, is currently lacking for permanent housing reconstruction in developing countries. The paper aims to address this gap by reviewing the field and presenting a set of selected examples that offer lessons for informing, developing and promoting wider good practice.Design methodology approach - An extensive literature review on post-disaster housing reconstruction in developing countries pointed to the significant impacts of disasters on housing in developing countries and the great challenges involved in the reconstruction process; it also allowed identifying efforts at framing good practice guidelines by humanitarian and other agencies.Findings - The paper finds that, while the review largely indicated the major challenges and shortcomings in the field, it also allowed identifying some examples of good practice and the reasons for their effectiveness.Originality value - As argued here, there are a number of independent guidelines for post-disaster reconstruction in developing countries, but hardly any which are widely endorsed and can be followed by humanitarian agencies. The paper therefore draws together the key issues and examples of good practice as a basis for informing the development of guidelines.

The present study was conducted to assess the behavioral preventive measures and the use of medicines and herbal foods/products among the public in response to Covid-19. A cross-sectional survey comprised of 1222 participants was conducted from 27 June to 20 July 2020. Kruskal-Wallis test was used to identify the differences in behavioral preventive practices across different demographic categories. To identify the factors associated with the use of preventive medicines and herbal foods/products, multivariable logistic regression was performed. Most participants adopted the recommended preventive practices such as washing hands more frequently (87.5%), staying home more often (85.5%), avoiding crowds (86%), and wearing masks (91.6%). About half of the smokers reported a decreased rate of smoking during the pandemic. Also, 14.8% took medicines, 57.6% took herbal foods/products, and 11.2% took both medicines and herbal foods/products as preventive measure against Covid-19. Arsenicum album, vitamin supplements, and zinc supplements were the most commonly used preventive medicines. Gender, age, and fear of Covid-19 were significantly associated with the use of both preventive medicines and herbal foods/products. For the management of Covid-19 related symptoms, paracetamol, antihistamines, antibiotics, and mineral (zinc and calcium) supplements were used most often. Most participants sought information from non-medical sources while using medicines and herbal products. Moreover, potentially inappropriate and unnecessary use of certain drugs was identified.

The purpose of this paper was to examine the community consultation practices carried out by implementing agencies when managing post-disaster housing reconstruction (PDHR) projects, identify the obstacles they face, and evaluate the effect these obstacles have on the quality of information obtained in relation to achieving a high level of beneficiary satisfaction. The aim was to develop a framework for community consultation in PDHR, which ensures that the needs of beneficiaries are more accurately reflected in the housing produced. A qualitative research methodology was adopted with data first being obtained through a literature review of relevant publications and implementing agency reports as a means of establishing common themes among community consultation practices and identifying indicators that influence beneficiary satisfaction. This was followed by a case study analysis to further an understanding of how these indicators were affected by the community consultation practices undertaken in a real-world context. The results of the research indicate that community consultation often forms a central role in the planning and delivery of PDHR projects, however, despite the implementing agencies’ best intentions, there are often obstacles that prevent the process from achieving the desired result. The community consultation framework proposed here has been developed to address the identified obstacles with the aim of ensuring that beneficiary requirements are included in housing design as a means of improving the level of beneficiary satisfaction in the housing provided.

MicroRNAs (miRNAs) are non-coding RNAs that play crucial role in post-transcriptional gene regulation, with lengths ranging from 18 to 26 nucleotides (nt). These endogenously expressed molecules exhibit significant evolutionary conservation, a feature vital for identifying new conserved miRNAs across various plant and animal species. Lettuce ( Lactuca sativa Linn.), a member of the Asteraceae family, stands out as a leafy vegetable with exceptional nutritional value. Given its significance, this study aimed to discover and describe new conserved miRNAs in lettuce. The investigation employed computational techniques to explore the lettuce genome leading to the identification of 27 conserved miRNAs from 27 families. Notably, three clusters of precursor miRNAs (pre-miRNAs), including lsa-MIR165, lsa-MIR168, and lsa-MIR3630, were also identified. To validate the computational predictions, seven randomly selected miRNAs were experimentally validated using RT-PCR. Additionally, the study delved into the protein targets of the identified miRNAs, resulting in the identification of 74 protein targets associated with 97 Gene Ontology (GO) terms and significant biological processes. The computational analysis of targets also shed light on their potential roles in post-transcriptional regulation. The presence of three precursor miRNA clusters suggested coordinated regulatory functions. The identification of conserved miRNAs and their associated protein targets opens avenues for understanding the molecular mechanisms underlying regulatory processes in this economically significant leafy vegetable and the knowledge gained from this research lays the groundwork for potential applications in modulating miRNAs to control desired features in lettuce, thereby contributing to the improvement of this essential crop.

For aquaculture systems, pH is the prime quality indicator and is highly related to other water quality indicators like ammonia and ammonium ions. The available pH sensors using chemical references are not suitable for continuous in situ monitoring of aquaculture systems due to their frequent calibration requirement and high cost. This research develops a pH sensor with temperature compensation implementing a machine learning (ML) algorithm. Unlike traditional methods, this sensor utilizes electronic calibration, eliminating the need for chemical calibration and ongoing maintenance efforts. The application of this low-cost sensor is particularly well suited for in situ aquaculture scenarios, where multiple local sensor nodes operate under the control of a master node. The test results of the developed sensor show an improved sensitivity from 0.288 µA/pH to 0.316 µA/pH compared to the available pH sensors. Additionally, the response time has been improved from 1 s to 125 ms, showcasing the suitability of this pH sensor for real-time water quality monitoring of aquaculture applications.

The depletion of soil organic matter (SOM) reserve after deforestation and subsequent management practices are well documented, but the impacts of land-use change on the persistence and vulnerability of storage C and N remain uncertain. We investigated soil organic C (SOC) and N stocks in a landscape of chrono-sequence natural forest, grazing/crop lands and plantation forest in the highlands of North-West Ethiopia. We hypothesized that in addition to depleting total C and N pools, multiple conversions of natural forest significantly change the relative proportion of labile and recalcitrant C and N fractions in soils, and thus affect SOM quality. To examine this hypothesis, we estimated depletion of SOC and N stocks and labile (1 & 2) and recalcitrant (fraction 3) C and N pools in soil organic matter following the acid hydrolysis technique. Our studies showed the highest loss of C stock was in grazing land (58%) followed by cropland (50%) and eucalyptus plantation (47%), while on average ca. 57% N stock was depleted. Eucalyptus plantation exhibited potential for soil C recovery, although not for N, after 30 years. The fractionation of SOM revealed that depletions of labile 1 C stocks were similar in grazing and crop lands (36%), and loss of recalcitrant C was highest in grazing soil (56%). However, increases in relative concentrations of labile fraction 1 in grazing land and recalcitrant C and N in cropland suggest the quality of these pools might be influenced by management activities. Also, the C:N ratio of C fractions and recalcitrant indices (RIC and RIN) clearly demonstrated that land conversion from natural forest to managed systems changes the inherent quality of the fractions, which was obscured in whole soil analysis. These findings underscore the importance of considering the quality of SOM when evaluating disturbance impacts on SOC and N stocks.

Mutations of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) are always going on. The pathogenic characteristics of a virus are influenced by mutations in the viral genome. Therefore, the recently identified Omicron BF.7 subvariant might harm humans. Here we aimed to evaluate the potential risks of this newly detected variant and identify possible mitigation strategies. The frequent mutation associated with SARS‐CoV‐2 makes it more concerning compared to other viruses. The Omicron variant of SARS‐CoV‐2 has unique changes in the structural amino acid. Thus, Omicron subvariants are different from other coronavirus variants in terms of viral spread, disease severity, vaccine neutralization capacity, and immunity evade. Moreover, Omicron subvariant BF.7 is an offspring of BA.4 and BA.5. Similar S glycoprotein sequences are present among BF.7, BA.4, and BA.5. There is a change in the R346T gene in the receptor binding site of Omicron BF.7 than other Omicron subvariants. This BF.7 subvariant has created a limitation in current monoclonal antibody therapy. Omicron has mutated since it emerged, and the subvariants are improving in terms of transmission as well as antibody evasion. Therefore, the healthcare authorities should pay attention to the BF.7 subvariant of Omicron. The recent upsurge may create havoc all of a sudden. Scientists and researchers across the world should monitor the nature and mutations of SARS‐CoV‐2 variants. Also, they should find ways to fight the current circulatory variants and any future mutations.

Fractional flow analysis is an efficient tool to evaluate the gas-trapping performance of foam in porous media. The pore-scale simulation study and the core-scale experimental work have been bridged via the fractional flow analysis to distinguish the characteristics of foam displacement inside the tight porous media with varying absolute permeability, injection rate, and foam quality. In this work, the combined investigation suggests that conventional foam-enhancing strategies, pursuing higher foam quality and stronger foam regime, are inefficient and restricted in tight reservoirs that the critical Sw corresponding to the limiting capillary pressure has increased around 37~43%, which indicates severely weakened gas-trapping capacity as permeability reduces one order of magnitude. The moderate mobility adjustment and corresponding optimized fluid injectivity exerting from the “weak foam” flow presents a staged decline feature of decreasing water fractional flow, which implies the existence of the delayed gas-trapping phenomenon when water saturation reduces to 0.5~0.6. The finding has supported the engineering ideal of promoting low-tension gas (LTG) drive processes as a potential solution to assist field gas injection applications suffering from gas channeling. Also, the validation with core-flooding experimental results has revealed several defects of the current pore network model of foam displacement in tight porous media, including exaggerated gas trapping and overestimated confining water saturation. This study has innovatively demonstrated the feasibility and potential of optimizing the foam performance of gas trapping and mobility control in tight reservoirs, which provides a clue that may eventually boost the efficiency of the gas injection process in enhanced oil recovery or CO2 sequestration projects.

The emergence of antimicrobial resistance is a growing human and animal health concern around the world. When a number of studies have emphasized the Knowledge, Attitude and Practice (KAP) regarding antibiotic use and resistance in humans, little attention has been paid to the veterinary sector. The aim of this study was to understand the KAP towards antibiotic use and resistance among veterinarians in Bangladesh. A cross-sectional online based questionnaire survey was conducted from August to September 2020 among the registered veterinary practitioners. A self-administered Google form questionnaire consisting of 45 questions on knowledge, attitude and practice regarding antibiotic use and resistance was used. For statistical significance test we used Chi-square or Fisher's Exact test and logistic regression for factor analysis. A total of 208 registered veterinarians participated in this study. The study involved a majority of male participants, constituting 85.1%, while 54.8% of the participants held a Masters degree. Around 52% of the veterinarians were poultry practitioners. All respondents were familiar with antimicrobials. The participants (91.4%) knew that antibiotics cannot cure viral infections, while 97.6% believed that frequent antibiotic prescriptions rendered them less effective. Participants claimed that only they were eligible to prescribe drugs for the treatment of animals, and around 80% disagreed with adding antibiotics with feed/water as a growth promoter in livestock. Of the total participants, 87% believed that a local antimicrobial guideline would be more effective than an international one. A multivariable analysis revealed that male veterinarians have 2.37 times higher knowledge regarding antimicrobial use (AMU) and antimicrobial resistance (AMR) (OR = 2.37, CI = 1.01-5.59, p = 0.05). Veterinarians engaged in government services demonstrated a 2.59 times more favorable attitude towards AMU and AMR (OR = 2.59, CI = 0.99-6.73, p = 0.05). Additionally, respondents aged 31-35 were 0.45 times more likely to exhibit good practices (OR = 0.45, CI = 0.2-1.00, p = 0.05). However, gaps in practices were highlighted in our study, suggesting training deficiencies. The present study, for the first time conducted in Bangladesh, dictates that future interventions like academic courses, workshops, and seminars on antibiotic usage and resistance are needed to facilitate the knowledge, behavior and practice of veterinarians with regard to the rational use of antibiotics.