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Shiitake mushrooms are renowned for their popularity and robust nutritional value, are susceptible to spoilage due to their inherent biodegradability. Nevertheless, because of their lack of protection, these mushrooms have a short shelf life. Throughout the post-harvest phase, mushrooms experience a persistent decline in quality. This is evidenced by changes such as discoloration, reduced moisture content, texture changes, an increase in microbial count, and the depletion of nutrients and flavor. Ensuring postharvest quality preservation and prolonging mushroom shelf life necessitates the utilization of post-harvest preservation techniques, including physical, chemical, and thermal processes. This review provides a comprehensive overview of the deterioration processes affecting mushroom quality, covering elements such as moisture loss, discoloration, texture alterations, increased microbial count, and the depletion of nutrients and flavor. It also explores the key factors influencing these processes, such as temperature, relative humidity, water activity, and respiration rate. Furthermore, the review delves into recent progress in preserving mushrooms through techniques such as drying, cooling, packaging, irradiation, washing, and coating.
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BACKGROUND: Child mortality is a major challenge to public health in Pakistan and other developing countries. Reduction of the child mortality rate would improve public health and enhance human well-being and prosperity. This study recognizes the spatial clusters of child mortality across districts of Pakistan and identifies the direct and spatial spillover effects of determinants on the Child Mortality Rate (CMR). METHOD: Data of the multiple indicators cluster survey (MICS) conducted by the United Nations International Children's Emergency Fund (UNICEF) was used to study the CMR. We used spatial univariate autocorrelation to test the spatial dependence between contiguous districts concerning CMR. We also applied the Spatial Durbin Model (SDM) to measure the spatial spillover effects of factors on CMR. RESULTS: The study results showed 31% significant spatial association across the districts and identified a cluster of hot spots characterized by the high-high CMR in the districts of Punjab province. The empirical analysis of the SDM confirmed that the direct and spatial spillover effect of the poorest wealth quintile and MPI vulnerability on CMR is positive whereas access to postnatal care to the newly born child and improved drinking water has negatively (directly and indirectly) determined the CMR in Pakistan. CONCLUSION: The instant results concluded that spatial dependence and significant spatial spillover effects concerning CMR exist across districts. Prioritization of the hot spot districts characterized by higher CMR can significantly reduce the CMR with improvement in financial statuses of households from the poorest quintile and MPI vulnerability as well as improvement in accessibility to postnatal care services and safe drinking water.
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Mortalidad del Niño , Agua Potable , Niño , Embarazo , Femenino , Humanos , Pakistán/epidemiología , Parto , PobrezaRESUMEN
The identification of the target molecule is required for rapid and reliable clinical diagnosis and disease monitoring [...].
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Técnicas Biosensibles , NanoestructurasRESUMEN
A sketch is a black-and-white, 2-D graphical representation of an object and contains fewer visual details as compared to a colored image. Despite fewer details, humans can recognize a sketch and its context very efficiently and consistently across languages, cultures, and age groups, but it is a difficult task for computers to recognize such low-detail sketches and get context out of them. With the tremendous increase in popularity of IoT devices such as smartphones and smart cameras, etc., it has become more critical to recognize free hand-drawn sketches in computer vision and human-computer interaction in order to build a successful artificial intelligence of things (AIoT) system that can first recognize the sketches and then understand the context of multiple drawings. Earlier models which addressed this problem are scale-invariant feature transform (SIFT) and bag-of-words (BoW). Both SIFT and BoW used hand-crafted features and scale-invariant algorithms to address this issue. But these models are complex and time-consuming due to the manual process of features setup. The deep neural networks (DNNs) performed well with object recognition on many large-scale datasets such as ImageNet and CIFAR-10. However, the DDN approach cannot be carried out for hand-drawn sketches problems. The reason is that the data source is images, and all sketches in the images are, for example, 'birds' instead of their specific category (e.g., 'sparrow'). Some deep learning approaches for sketch recognition problems exist in the literature, but the results are not promising because there is still room for improvement. This article proposed a convolutional neural network (CNN) architecture called Sketch-DeepNet for the sketch recognition task. The proposed Sketch-DeepNet architecture used the TU-Berlin dataset for classification. The experimental results show that the proposed method beats the performance of the state-of-the-art sketch classification methods. The proposed model achieved 95.05% accuracy as compared to existing models DeformNet (62.6%), Sketch-DNN (72.2%), Sketch-a-Net (77.95%), SketchNet (80.42%), Thinning-DNN (74.3%), CNN-PCA-SVM (72.5%), Hybrid-CNN (84.42%), and human recognition accuracy of 73% on the TU-Berlin dataset.
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The COVID-19 pandemic forced higher education institutions to alter how they offer classes at an unprecedented pace. Due to ambiguities and lockdown restrictions, the transition phase negatively impacted students' and professors emotions. As a result, lecturers had to cope with unfamiliar online class teaching responsibilities and develop new teaching dynamics. This work aims to analyze one of the most adversely affected procedures of teaching, the written feedback provided to students. This research strives to explore whether the professors' feedback style altered from face-to-face education to online education on digital platforms during the COVID-19 restrictions. This exploratory-design study uses a mixed methodology to explain the subject on hand based on data collected from 117 undergraduate students. Sentiment lexicographers are utilized to address and identify the emotions expressed in the texts. Trust was the most frequent emotion expressed in face-to-face and online courses. It is also observed that the sentiments of joy and sadness changed significantly among online and face-to-face groups based on the professors' feedback style and approach. Finally, the study reveals that the joy words and the sadness words associated with the learning process are the most commonly utilized sentiments. This study suggests that when the courses transitioned from face-to-face to online learning, the professors' feedback changed to a more positive feeling that expressed appreciation for the students' work, encouraging them to strive for their complete academic development, and usher them into a better learning environment.
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The current study was performed under controlled conditions to study the effects of exogenous potassium application on carotenoid contents and drought tolerance in Camelina. Water deficit levels such as 100% FC (control) and 40% FC (drought stress) were imposed after germination of Camelina plants grown to maturity, and different treatments of exogenous K+ were applied at the vegetative stage. We have reported 17 traits of plant growth, physiology, antioxidant enzyme activity, focusing on carotenoids in Camelina to explore their potential yield and yield components. For this purpose, we used multivariate analysis techniques (descriptive statistics, correlation matrix, analysis of variance [ANOVA] and principal components analysis [PCA] to determine the best relation between potassium and studied traits). The results showed a large number of variations in the studied trait under control and water deficit condition. Plant fresh weight (g) was negatively correlated with shoot length and SOD insignificantly correlated with plant fresh weight (g) under water deficit conditions. Potassium loading predicted that foliar application (3 mM K2 SO4 ), foliar application (6 mM KNO3 ), foliar application (12 mM KNO3 ) and foliar application (12 mM K2 SO4 ) are the important doses that contribute the most to enhance the growth, physiological and biochemical activities and carotenoids to improve the Camelina yield under water deficit condition. These doses should be considered in the future to improve the Camelina yield under semi-arid conditions with increased genetic diversity (varietal selection).
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Brassicaceae , Sequías , Potasio , Antioxidantes , Agua , Carotenoides , Superóxido DismutasaRESUMEN
Abstract This study investigates whether trust in government policies has a mediation effect between the students' perception of COVID-19 health risk and their life satisfaction. In order to test the mediation effect, this study utilizes data collected from undergraduate students at Tecnológico de Monterrey in Mexico by means of online survey. The survey yielded 95 usable data out of 97. The valid results were tested via generalized linear model (GLM) Mediation approach for the mediation. Empirical findings of Delta method affirm the mediation (estimate = 0.4445, β = 0.474, z = 3.699, p < .001) role of trust in government as a mediator between students' perception of COVID-19 health risk and their life satisfaction. In other words, Mexican undergraduate students are of the view that trusting government plays a crucial role as a mediator between their perception of coronavirus health risk and life satisfaction. These findings may guide the governments' policy making efforts and motivate them to support their initiatives with trust-building efforts.
Resumo Este estudo investiga se a confiança nas políticas governamentais tem um efeito de mediação na percepção dos estudantes sobre o risco de saúde da COVID-19 e a satisfação de vida. A fim de testar o efeito de mediação, o estudo utiliza dados recolhidos de estudantes universitários do Tecnológico de Monterrey, no México. O inquérito produziu 95 dados utilizáveis de um total de 97. Os resultados válidos foram testados por meio da abordagem de mediação do modelo linear generalizado (GLM). Os resultados empíricos do método Delta afirmam (estimativa = 0,4445, β = 0,474, z = 3,699, p < .001) o papel de confiança no governo como mediador entre a percepção dos estudantes sobre o risco de saúde da COVID-19 e sua satisfação de vida. Em outras palavras, para os estudantes de graduação mexicanos a confiança no governo desempenha papel crucial como mediador entre suas percepções sobre o risco de saúde do coronavírus e a satisfação de vida. As conclusões do estudo podem orientar os esforços dos governos na elaboração de políticas e motivá-los a apoiar iniciativas de criação de confiança.
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Abstract The latest statistics show that COVID-19 is still very active, and cases are on the rise across various countries and regions. On the other hand, statistics from Pakistan show a declining trend, especially during the first wave of the COVID-19 pandemic. To understand this declining trend and answering our established question, "What are the reasons behind the decline of the COVID-19 cases in Pakistan - public healthcare facilities or government smart lockdown policy?" narrative literature-based evidence collected from government official websites, reports and also Google Scholar. Our findings suggest that the government's innovative smart lockdown strategy and its execution at the right time with the consensus of all stakeholders accompanied with the observing of COVID-19 standard operation procedures resulted in controlling the pandemic. Effective smart lockdown policy allows the government to identify shortcomings of and improve the capabilities of healthcare for the continuation of balanced socio-economic activities to avoid future spread-out of the pandemic in the time of crisis under national and World Health Organization guidelines.
Resumo As últimas estatísticas mostram que a COVID-19 ainda está muito ativa, e os casos estão aumentaando em vários países e regiões. Por outro lado, as estatísticas do Paquistão mostram uma tendência decrescente, em especial durante a primeira onda da pandemia de COVID-19. Para compreender esta tendência decrescente e responder à nossa pergunta estabelecida, "Quais são as razões por detrás do declínio do caso COVID-19 no Paquistão - instalações públicas de saúde ou política de encerramento inteligente do governo?" - foi compilada evidências narrativas baseadas em literatura recolhida de websites oficiais do governo, relatórios e também no Google Scholar. As nossas conclusões sugerem que a estratégia inovadora de encerramento inteligente do governo e a sua execução no momento certo, com o consenso de todos os interessados acompanhados pela observação dos procedimentos de operação padrão da COVID-19, resultou no controle da pandemia. Uma política eficaz de encerramento inteligente permite ao governo identificar deficiências e melhorar as capacidades dos cuidados de saúde para a continuidade de atividades socioeconômicas equilibradas, a fim de evitar a propagação futura da pandemia em tempo de crise, sob as diretrizes nacionais e da Organização Mundial de Saúde.
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The latest statistics show that COVID-19 is still very active, and cases are on the rise across various countries and regions. On the other hand, statistics from Pakistan show a declining trend, especially during the first wave of the COVID-19 pandemic. To understand this declining trend and answering our established question, "What are the reasons behind the decline of the COVID-19 cases in Pakistan - public healthcare facilities or government smart lockdown policy?" narrative literature-based evidence collected from government official websites, reports and also Google Scholar. Our findings suggest that the government's innovative smart lockdown strategy and its execution at the right time with the consensus of all stakeholders accompanied with the observing of COVID-19 standard operation procedures resulted in controlling the pandemic. Effective smart lockdown policy allows the government to identify shortcomings of and improve the capabilities of healthcare for the continuation of balanced socio-economic activities to avoid future spread-out of the pandemic in the time of crisis under national and World Health Organization guidelines.
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COVID-19 , COVID-19/epidemiología , COVID-19/prevención & control , Control de Enfermedades Transmisibles , Atención a la Salud , Gobierno , Humanos , Pakistán/epidemiología , Pandemias/prevención & control , Políticas , SARS-CoV-2RESUMEN
This study investigates whether trust in government policies has a mediation effect between the students' perception of COVID-19 health risk and their life satisfaction. In order to test the mediation effect, this study utilizes data collected from undergraduate students at Tecnológico de Monterrey in Mexico by means of online survey. The survey yielded 95 usable data out of 97. The valid results were tested via generalized linear model (GLM) Mediation approach for the mediation. Empirical findings of Delta method affirm the mediation (estimate = 0.4445, ß = 0.474, z = 3.699, p < .001) role of trust in government as a mediator between students' perception of COVID-19 health risk and their life satisfaction. In other words, Mexican undergraduate students are of the view that trusting government plays a crucial role as a mediator between their perception of coronavirus health risk and life satisfaction. These findings may guide the governments' policy making efforts and motivate them to support their initiatives with trust-building efforts.
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COVID-19 , Gobierno , Humanos , Satisfacción Personal , Políticas , Estudiantes , ConfianzaRESUMEN
This study explains the scarce information on the role of harzianopyridone (HZRP) in the alleviation of chromium (Cr) stress alleviation in Vigna radiata (L.). To this end, V. radiata seedlings primed with HZRP at 1 and 2 ppm were exposed to 50 mg kg-1 Cr for 30 days. Cr stress reduced growth, chlorophyll (Chl) content, net photosynthetic rate, gas-exchange attributes along with enhanced oxidative damages, i.e., electrolyte leakage (EL), hydrogen peroxide (H2O2), and malondialdehyde (MDA). Application of HZRP enhanced intercellular carbon dioxide (CO2) concentration, stomatal conductance, and net photosynthetic rate with decreased activity of the chlorophyllase (Chlase) enzyme in V. radiata seedlings exposed to Cr stressed conditions. To maintain Cr-induced oxidative damages, HZRP treatment increased the levels of antioxidant metabolites (phenolic and flavonoids) and the activity of antioxidative enzymes [superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD)] in V. radiata seedlings grown in normal and Cr-polluted potted soil. In addition to this, glycine betaine content was also increased in plants grown in Cr-contaminated soil. It is proposed the potential role of supplementation of HZRP in mitigating Cr stress. Further research should be conducted to evaluate the potential of HZRP in the mitigation of abiotic stresses in plants.
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Membrane fouling is a continued critical challenge for ultrafiltration membranes performance. In this work, polyether sulfone (PES) ultrafiltration (UF) membranes were fabricated via phase-inversion method by incorporating varying concentrations of APTMS modified activated carbon (mAC). The mAC was thoroughly characterized and the fabricated membranes were studied for their surface morphology, functional groups, contact angle, water retention, swelling (%) porosity, and water flux. The hydrophilicity of mAC membranes also resulted in lower contact angle and higher values of porosity, roughness, water retention as well as water flux. Also, the membranes incorporated with mAC exhibited antibacterial performance against model test strains of gram-negative Ecoil and gram-positive S. aureus. The antifouling studies based on bovine serum albumin protein (BSA) solution filtration showed that mAC membranes have better BSA flux. The higher flux and antifouling characteristics of the mAC membranes were attributed to the electrostatic repulsion of the BSA protein from the unique functional properties of AC and network structure of APTMS. The novel mAC ultrafiltration membranes developed and studied in present work can provide higher flux and less BSA rejection thus can find antifouling applications for the isolation and concentration of proteins and macromolecules.
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In agriculture, the search for higher net profit is the main challenge in the economy of the producers and nano biochar attracts increasing interest in recent years due to its unique environmental behavior and increasing the productivity of plants by inducing resistance against phytopathogens. The effect of rice straw biochar and fly ash nanoparticles (RSBNPs and FNPs, respectively) in combination with compost soil on bacterial leaf spot of pepper caused by Xanthomonas campestris pv. vesicatoria was investigated both in vitro and in vivo. The application of nanoparticles as soil amendment significantly improved the chili pepper plant growth. However, RSBNPs were more effective in enhancing the above and belowground plant biomass production. Moreover, both RSBNPs and FNPs, significantly reduced (30.5 and 22.5%, respectively), while RSBNPs had shown in vitro growth inhibition of X. campestris pv. vesicatoria by more than 50%. The X-ray diffractometry of RSBNPs and FNPs highlighted the unique composition of nano forms which possibly contributed in enhancing the plant defence against invading X. campestris pv. vesicatoria. Based on our findings, it is suggested that biochar and fly ash nanoparticles can be used for reclaiming the problem soil and enhance crop productivity depending upon the nature of the soil and the pathosystem under investigation.
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Nanopartículas , Xanthomonas campestris , Carbón Orgánico , Ceniza del Carbón , Suelo , Xanthomonas campestris/fisiología , Xanthomonas vesicatoriaRESUMEN
The potato is one of the most important and valuable crops in terms of consumption worldwide. However, abiotic stressors are the critical delimiters for the growth and productivity of potato. Invertase genes play key roles in carbon metabolism, plant development, and responses to stress stimuli. Therefore, a comprehensive genome-wide identification, characterization and expression analysis of invertase genes was performed in the potato. The current study identified 19 invertase genes, randomly distributed throughout the potato genome. To further elucidate their evolutionary, functional and structural relationship within family and with other plant species, we performed sequence and phylogenetic analysis, which segregated invertase genes into two main groups based on their sequence homology. A total of 11 genes are included in acidic invertases and 8 genes are in neutral or alkaline invertases, elucidating their functional divergence. Tissue specific expression analyses (RNA sequencing and qRT-PCR) of different plant tissues showed differential expression pattern. Invertase genes have higher expression in flower, leaf, root and shoot tissues, while under abiotic stress conditions, the expression of the invertase gene is significantly upregulated. Results of this study revealed that vacuolar and cell wall destined invertases are mainly the functional member genes of the invertase family. This study provides comprehensive data and knowledge about StINV genes in Solanum tuberosum for future genetic and epigenetic studies.
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The aim of this study is to analyze the variations in the plant-available nitrogen (PAN) concentrations in the soil profile. Different fertilizers were applied for Chinese cabbage plantation (CCP) in the experimental fields of the Shunyi region. The treatments used for the comparative analysis are (i) no fertilizer and plantation (NVP), (ii) no fertilizer with CCP (CTP), (iii) fertilization as urea (URP), and (iv) potassium nitrate (KNP) and chicken manure (CMP) with CCP. It was concluded that the yield was significantly high in URP, CMP, and KNP as compared to CTP. In URP, maximum PAN in soil layers 0-60 cm was recorded during crop production and in 60-100 cm after harvesting as compared to other treatments. Significant variations in soil pH and electrical conductivity (EC) for the soil profile (0-100 cm) from the initial values with respect to time and treatments were observed. CMP showed maximum ammonium in the upper layers of 0-60 cm throughout the season, whereas minimum PAN was observed in NVP but increased in lower layers of 60-100 cm. In general, all fertilizers raised the PAN below the soil 60-100 cm which indicates their potential for nitrate leaching (NL).
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Gene editing using clustered regularly interspaced short palindromic repeat/CRISPR-associated proteins (CRISPR/Cas) has revolutionized biotechnology and provides genetic tools for medicine and life sciences. However, the application of this technology to miRNAs, with the function as negative gene regulators, has not been extensively reviewed in plants. Here, we summarize the evolution, biogenesis, and structure of miRNAs, as well as their interactions with mRNAs and computational models for predicting target genes. In addition, we review current advances in CRISPR/Cas for functional analysis and for modulating miRNA genes in plants. Extending our knowledge of miRNAs and their manipulation with CRISPR will provide fundamental understanding of the functions of plant miRNAs and facilitate more sustainable and publicly acceptable genetic engineering of crops.
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Sistemas CRISPR-Cas , MicroARNs , Sistemas CRISPR-Cas/genética , Productos Agrícolas/genética , Evolución Molecular , Edición Génica , MicroARNs/genéticaRESUMEN
MiRNAs modulate target genes expression at post-transcriptional levels, by reducing spatial abundance of mRNAs. MiRNAs regulats plant metabolism, and emerged as regulators of plant stress responses. Which make miRNAs promising candidates for fine tuning to affectively alter crop stress tolerance and other important traits. With recent advancements in the computational biology and biotechnology miRNAs structure and target prediction is possible resulting in pin point editing; miRNA modulation can be done by up or down regulating miRNAs using recently available biotechnological tools (CRISPR Cas9, TALENS and RNAi). In this review we have focused on miRNA biogenesis, miRNA roles in plant development, plant stress responses and roles in signaling pathways. Additionally we have discussed latest computational prediction models for miRNA to target gene interaction and biotechnological systems used recently for miRNA modulation. We have also highlighted setbacks and limitations in the way of miRNA modulation; providing entirely a new direction for improvement in plant genomics primarily focusing miRNAs.