Correction: Voltammetric pH sensor based on electrochemically modified pseudo-graphite.

Correction for 'Voltammetric pH sensor based on electrochemically modified pseudo-graphite' by Haoyu Zhu , , 2020, , 7252-7259, https://doi.org/10.1039/D0AN01405B.

Cheminformatics and systems pharmacology approaches to unveil the potential plant bioactives to combat COVID-19.

COVID-19 was a global pandemic in the year 2020. Several treatment options failed to cure the disease. Thus, plant-based medicines are becoming a trend nowadays due to their less side effects.

Molecular Insights into Abiotic Stresses in Mango.

Mango ( L.) is one of the most economically important fruit crops across the world, mainly in the tropics and subtropics of Asia, Africa, and Central and South America. Abiotic stresses are the prominent hindrance that can adversely affect the growth, development, and significant yield loss of mango trees.

Optimal transfer learning based nutrient deficiency classification model in ridge gourd (Luffa acutangula).

The efficient detection of nutrient deficiency and proper fertilizer for that deficiency becomes the critical challenges various farmers face. The family Cucurbitaceae includes members cultivated globally as a source of indigenous medicines, food, and fiber. Luffa acutangula (L.

Investigation on microfiber release from elastane blended fabrics and its environmental significance.

Elastane blended apparel is one of the most preferred items by consumers with fashion interest due to its enhanced comfort and fit. The environmental impact and microfiber release due to elastane usage is often ignored due to its lower percentage in apparel. To address such a gap, this study aimed to quantify and characterize the microfiber release behavior of cotton/elastane knitted fabric.

Impact of sewing on microfiber release from polyester fabric during laundry.

Microfibers released from textile materials are receiving greater attention due to their severe adverse effects on the environment. Although mitigation strategies have been developed for laundering, researchers uphold that it is crucial to start mitigating at the source. In that aspect, this research aims to analyze the cutting and sewing methods of knitted fabrics and their impact on the microfiber release of garments during laundry.

Differential gene expression analysis combined with molecular dynamics simulation study to elucidate the novel potential biomarker involved in pulmonary TB.

Tuberculosis (TB) is a lethal multisystem disease that attacks the lungs' first line of defense. A substantial threat to public health and a primary cause of death is pulmonary TB. This study aimed to identify and investigate the probable differentially expressed genes (DEGs) primarily involved in Pulmonary TB.

The genomic landscape associated with resistance to aromatase inhibitors in breast cancer.

Aromatase inhibitors (AI) are drugs that are widely used in treating estrogen receptor (ER)-positive breast cancer patients. Drug resistance is a major obstacle to aromatase inhibition therapy. There are diverse reasons behind acquired AI resistance.

A comprehensive review on human disease-causing bacterial proteases and their impeding agents.

Proteases are enzymes that catalyze the amide bond dissociation in polypeptide and protein peptide units. They are categorized into seven families and are responsible for a wide spectrum of human ailments, such as various types of cancers, skin infections, urinary tract infections etc. Specifically, the bacterial proteases cause a huge impact in the disease progression.

A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques.

COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions of people across many countries. To enhance quick and accurate diagnosis of COVID-19, chest X-ray (CXR) imaging methods were commonly utilized. Identifying the infection manually by radio imaging, on the other hand, was considered, extremely difficult due to the time commitment and significant risk of human error.

Ergonomic investigations on novel dynamic postural estimator using blaze pose and transfer learning.

The aim is to develop a computer-based assessment model for novel dynamic postural evaluation using RULA. The present study proposed a camera-based, three-dimensional (3D) dynamic human pose estimation model using 'BlazePose' with a data set of 50,000 action-level-based images. The model was investigated using the Deep Neural Network (DNN) and Transfer Learning (TL) approach.

Characterization of microfibers originated from the textile screen printing industry.

Textile industries are known for their higher levels of environmental impact due to their nature of processes. However, the impact of the textile manufacturing process on emerging microfiber pollution is less explored. This research focuses on analyzing the microfiber release behavior of textile fabrics during the screen printing process.

Recycling of disposable single-use face masks to mitigate microfiber pollution.

The effectiveness of disposable masks in mitigating the transmission of COVID-19 infection increased the consumption of masks. The cheaper cost and easy accessibility resulted in massive consumption and disposal of non-woven masks. The improper disposal of mask emits microfiber into the environment upon weathering.

Investigation of structural, morphological, optical, elemental, and anticancer property of pure ZnO and PbO: ZnO nanocomposites prepared by flame synthesis method.

In this work, Pure ZnO nanoparticles and a nanocomposite of PbO: ZnO were prepared by the flame synthesis method, and was analyzed for structural, morphological, optical, elemental, and biocompatibility studies. The structural analysis revealed a hexagonal structure for ZnO and an Orthorhombic structure for PbO: ZnO nanocomposite. Scanning electron microscopy (SEM) image showed a Nano-Sponge-like surface morphology for PbO: ZnO nanocomposite and energy dispersive spectra (EDS) confirmed the absence of undesired impurities.

Microfiber mitigation from synthetic textiles - impact of combined surface modification and finishing process.

The use of proper mitigation strategies to control the impact of microfiber pollution is need of the hour requirement. Though several laundry aids were developed to reduce the environmental impact caused by synthetic microfiber, due to the lack of awareness among the public, their effectiveness was limited. Hence, the mitigation measures at the production stage of textile materials can be a proactive solution with greater effectiveness in mitigating the issue at different stages rather than focussing only on domestic laundering.

Characterization of microfibers released from chemically modified polyester fabrics - A step towards mitigation.

Synthetic textiles are one of the significant contributors to microfiber pollution, a subclass of microplastics. The impact of microfibers on the environment is irreversible. Several attempts were made to mitigate and control the microfiber release from synthetic textiles by introducing filters and laundry aids in washing machines, whereas some came up with methods to modify the textile materials to release fewer fibers.

A study of the influence of current ramp rate on the performance of polymer electrolyte membrane fuel cell.

Durability and reliability are the key factors that prevent fuel cells from successful implementation in automotive sector. Dynamic load change is a common and frequent condition that the fuel cell has to undergo in automotive applications. Fuel cells are more sensitive to changes in load conditions and degrade based on load variation representing idling, rated power, and high power operating conditions.

Enterococcus faecalis thrives in dual-species biofilm models under iron-rich conditions.

Escherichia coli (E. coli) and Enterococcus faecalis (E. faecalis) are pathogenic strains that often coexist in intestinal flora of humans and are prone to cause biofilm-associated infections, such as gastrointestinal tract and urinary tract infections.

Toward Better Food Security Using Concepts from Industry 5.0.

The rapid growth of the world population has increased the food demand as well as the need for assurance of food quality, safety, and sustainability. However, food security can easily be compromised by not only natural hazards but also changes in food preferences, political conflicts, and food frauds. In order to contribute to building a more sustainable food system-digitally visible and processes measurable-within this review, we summarized currently available evidence for various information and communication technologies (ICTs) that can be utilized to support collaborative actions, prevent fraudulent activities, and remotely perform real-time monitoring, which has become essential, especially during the COVID-19 pandemic.

Investigation of physical properties of paper produced by blending of water hyacinth and dried flowers.

The production of paper is a key component for global civilization. Around 300 million tonnes of paper are produced every day globally, with matured pulpwood being the major contributor. Due to rising demand for paper and the depletion of available wood resources, researchers are now focused on finding alternative non-wood resources that are suitable for pulp and paper production.

Molecular docking study on europium nanoparticles and mussel adhesive protein for effective detection of latent fingerprints.

Reflecting on the difficulty of finding the evidence of latent fingerprints on wet and rough surfaces, scientists need to visualise those fingermarks without any background interference and stable adhesion of visualising material over the fingermark residues. To stabilize the interaction with the fingermarks, the synthesized nanoparticles were conjugated with a highly adhesive biopolymer, Mussel Adhesive Protein (MAP) which can effectively interact with fingerprint deposits. Rare earth metal, europium oxide and nanoparticles were used as a visualisation material to get high contrast and reduced background interference-based fingerprints.

Prevalence of differential microbiome in healthy, diseased and nipped colonies of corals, Porites lutea in the Gulf of Kachchh, north-west coast of India.

Coral reefs are constantly subjected to multiple stresses like diseases and fish predation, which can profoundly influence the coral microbiome. This study investigated the differences in bacterial community structure of healthy, white syndrome affected and blenny nipped coral colonies of Porites lutea, collected from the coral reefs of Gulf of Kachchh, north-west coast of India. Present study observed that the stressed coral colonies harbored more OTUs and contained higher diversity values compared to healthy corals colonies.

Multi-objective optimization and prediction of surface roughness and printing time in FFF printed ABS polymer.

In this study, fused filament fabrication (FFF) printing parameters were optimized to improve the surface quality and reduce the printing time of Acrylonitrile Butadiene Styrene (ABS) polymer using the Analysis of Variance (ANOVA), it is a statistical analysis tool. A multi-objective optimization technique was employed to predict the optimum process parameter values using particle swarm optimization (PSO) and response surface methodology (RSM) techniques. Printing time and surface roughness were analyzed as a function of layer thickness, printing speed and nozzle temperature.