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Purpose This paper aims to address stagnation point flow of cross nanofluid in frames of hydromagnetics. Flow analysis subjected to expanding-contracting cylinder is studied. Design/methodology/approach Nonlinear problems are computed by using bvp4c procedure. Findings Radius of curvature and temperature-dependent heat sink-source significantly affects heat-mass transport mechanisms for cylindrical surface. Originality/value No such analysis has yet been reported.

Water Cherenkov detectors are playing a central role in neutrino physics, gamma-ray astronomy, and cosmic-ray research. These detectors usually rely on the use of large area photomultiplier tubes (PMTs) to detect Cherenkov radiation emitted by particles moving faster than the speed of light in water. Recent studies suggest that using multiple small area PMTs in a compact structure enhances the performance of these detectors. Such a solution has been adopted in several experiments. This work focuses on the design and optimization of a hemispherical module with several 3” PMTs, called multiPMT, and related electronics for possible use in the water Cherenkov detectors of the SWGO Experiment. This study shows that such devices have promising features in terms of both cost and performance compared to large-area PMTs. The cost per area of photocathode is similar to large PMTs even including the additional channels of electronics. Dividing the signal into multiple PMTs reduces requirements on the electronics max rate and max dynamic range. The enclosure which keeps the PMT face dry provides convenient housing for the electronics and allows for easy access in case of repair. Finally, the intrinsic directionality may prove useful for shower reconstruction and to the discrimination of gamma initiated showers against the hadron background.

Institutions and energy production sources shape environmental policies and practices. Institutions establish frameworks for renewable energy and enforce environmental protection measures. Conventional energy sources cause pollution and climate change, while green energy sources have lower environmental impacts. In this study we analyzed how quality institutions, along with different types of energy production sources affect the quality of environment in 101 countries that are part of the BRI, a global development project. We used a statistical method called panel quantile regression to analyze data from 2000 to 2020. We found that producing energy from renewable sources, such as wind and solar, reduces CO 2 emissions by 0.003% in BRI countries. However, producing energy from non-renewable sources, such as gas and coal, harms the environment more in high-income and middle-income countries. We also found that having better institutional quality reduces CO 2 emissions by 3.421%, 2.710%, and 0.006% in different groups of BRI countries. This means that having stronger and fairer institutions can help protect the environment by limiting the use of non-renewable energy sources and encouraging the use of renewable ones. Our study suggests that improving institutional quality is a key factor for achieving green energy and environmental sustainability in BRI countries.

This paper examines the long-term and short-run causative relationship among environmental sustainability, energy efficiency, renewable energy and carbon emissions from all over sources (coal, oil and fossil fuels) and sector wise division (heat and power, transportation, residential, manufacturing and other sectors. The empirical evidence presented in this study is derived from a balanced panel dataset spanning the annual periods from 2000 to 2021. The dataset specifically focuses on a selection of BRI Countries. The Kao test demonstrates the presence of cointegration across variables such as carbon dioxide emissions, environmental suitability, energy efficiency and renewable energy. The Panel Pooled Mean Group-Autoregressive Distributed Lag (PMG-ARDL) model indicates a statistically significant positive association between the environmental sustainability and disaggregated CO 2 emissions over a long-term period. The study found a positive relationship between disaggregated CO 2 emissions and environmental sustainability and energy efficiency, with renewable energy sources reducing emissions. It suggests a need for a structural transition from an energy-intensive economy to a decarbonized one, with sectors like heat and power positively impacting sustainability. Implementing measures to reduce emissions is crucial for tackling climate change.

All cereal crops, particularly rice are perpetually affected due to drastic climatic changes which triggers different stressors resulting in food shortage scenarios across the globe. In modern era, application of nanotechnology holds the pledge in combating the climate change mediated environmental stressors through nanomaterials such as pesticides, nano-biosensors, nano-clays and nano-seed priming technologies. Current study is a part of experiment conducted to comprehend the behaviour of rice plants raised from Zinc Oxide nanoparticles (ZnONPs) primed seeds under the water shortage environment. The seed priming treatment concentrations included 0, 5, 10, 15, 25 and 50 ppm. In the experimental results an increase in plant height, total chlorophyll contents, plant fresh and dry weights was obtained by use of seed priming with ZnONPs. The study results proved that seed priming with 25ppm of ZnONPs increased seed and straw yield with value of 85.333 and 123.333, respectively under water deficit environment. The analysis depicted that 25 ppm has been found more suitable for increasing the 1000 paddy weight of rice plants under both well irrigated and water shortage conditions. Seed priming with ZnONPs results in 53% reduction in MDA contents of water stressed rice plants Drought stress leads to reduction in plant height by 31%, plant fresh weight by 22% and plant dry weight by 28%. Seed priming treatments imparted in current study show significance increase in plant biomass. Priming with ZnONPs further enhances the levels of proline amino acid facilitating the plant to combat water shortage stress. A further elevation in activities of SOD, CAT and POD takes place in rice plants raised from ZnONPs primed seeds by 11%, 13% and 38%, respectively. An elevation in activities of antioxidant enzymes was found and the levels of oxidative stress indicators decreased upon seed priming with ZnONPs. Furthermore the yield characteristics such as panicle length, number of tillers, paddy yield and straw yield of the rice plants raised through ZnONPs primed seeds enhanced. The ZnONPs at concentration of 25 ppm proved optimum in alleviating drought induced damages. It can be inferred that seed pre conditioning with ZnONPs is helpful in increasing yield attributes under the water shortage environment.

The COVID-19 pandemic resulted in over 600 million cases worldwide, and significantly impacted both physical and mental health, fostering widespread anxiety and fear. Consequently, the extensive use of online social networks to express emotions made sentiment analysis a crucial tool for understanding public sentiment. Traditionally, sentiment analysis in the Urdu language has focused on sentence-level analysis. However, aspect-level sentiment analysis is increasingly important and remains underexplored due to the challenges of the costly and time-consuming manual dataset annotation process. This study presents an innovative bilingual aspect-based sentiment analysis for Urdu and Roman Urdu using unsupervised methods. For Urdu, a syntactic rule-based approach achieves an accuracy of 83% in extracting aspect terms, marking a 5% improvement in F1-score over existing methods. For Roman Urdu, the study employs collocation patterns and topic modeling to identify and categorize key aspects, resulting in a perplexity score of –7 and a coherence score of 41. The results not only demonstrate the semantic coherence of the identified categories but also represent a significant advancement in aspect-level sentiment analysis by eliminating the need for manual annotation. This study offers new insights into the sentiments expressed during the pandemic, providing valuable feedback for policymakers and health organizations.

Wheat has low levels of the micronutrients iron and zinc in the grain, which contributes to 2 billion people suffering from micronutrient deficiency globally. While wheat flour is commonly fortified during processing, an attractive and more sustainable solution is biofortification, which could improve micronutrient content in the human diet, without the sustainability issues and costs associated with conventional fortification. Although many studies have used quantitative trait loci mapping and genome-wide association to identify genetic loci to improve micronutrient contents, recent developments in genomics offer an opportunity to accelerate marker discovery and use gene-focussed approaches to engineer improved micronutrient content in wheat. The recent publication of a high-quality wheat genome sequence, alongside gene expression atlases, variation datasets and sequenced mutant populations, provides a foundation to identify genetic loci and genes controlling micronutrient content in wheat. We discuss how novel genomic resources can identify candidate genes for biofortification, integrating knowledge from other cereal crops, and how these genes can be tested using gene editing, transgenic and TILLING approaches. Finally, we highlight key challenges remaining to develop wheat cultivars with high levels of iron and zinc.

Global warming has become a big problem around the world, and it is because of what people do. As a possible answer, countries are looking for ways to keep their economies growing and invest in technologies that use clean energy. Therefore, the notion of carbon neutrality has emerged as a crucial policy strategy for nations to attain sustainable development. This study expands the existing discussions on carbon neutrality by investigating the influence of key factors, including green innovation, financial development, natural resources depletion, trade openness, institutional quality, growth, and urbanization on the progress made towards attaining a carbon neutral state in the BRICS nations. This study considers the Method of Moment Quantile-Regression (MM-QR) and Prais–Winsten correlated panel corrected standard errors (PCSEs) estimators to investigate the study objectives over the period of 1990–2021. Under the investigated outcomes, this study validated the significant role of urbanization and growth in carbon neutrality. On the other hand, this study finds the positive role of openness, green innovation, resource depletion, institutional quality, and financial development on environmental deterioration. However, under a systematic analysis, this study utilizes different proxies of the financial sector, for instance, financial complexity, financial efficiency, financial stability, and domestic credit by financial sector, and provides interesting outcomes. Based on these outcomes, this study also provides suggestions to attain desired levels of sustainability.

It has been established in literature that the addition of nanoparticles to lubricants at an optimum concentration results in a lower coefficient of friction compared to lubricants with no nanoparticle additives. This review paper shows a comparison of different lubricants based on the COF (coefficient of friction) with nanoadditives. The effect of the addition of nanoparticles on the friction coefficient was analyzed for both synthetic and biolubricants separately. The limitations associated with the use of nanoparticles are explained. The mechanisms responsible for a reduction in friction when nanoparticles are used as an additive are also discussed. Various nanoparticles that have been most widely used in recent years showed good performance within lubricants, including CuO (copper oxide), MoS2 (molybdenum disulfide), and TiO2 (titanium dioxide). The paper also indicates some research gaps that need to be addressed.

The spread of the COVID-19 virus has become a global health crisis, and finding effective treatments and preventions is a top priority. The field of quantum biology primarily focuses on energy or charge transfer, with a particular emphasis on photosynthesis. However, there is evidence to suggest that cellular receptors such as olfactory or neural receptors may also use vibration-assisted electron tunnelling to enhance their functions. Quantum tunnelling has also been observed in enzyme activity, which is relevant to the invasion of host cells by the SARS-CoV-2 virus. Additionally, COVID-19 appears to disrupt receptors such as olfactory receptors. These findings suggest that quantum effects could provide new insights into the mechanisms of biological systems and disease, including potential treatments for COVID-19. We have applied the open quantum system approach using Quantum State Diffusion to solve the non-linear stochastic Schrödinger equation (SSE) for COVID-19 virus infection. Our model includes the mechanism when the spike protein of the virus binds with an ACE2 receptor is considered as dimer. These two entities form a system and then coupled with the cell membrane, which is modelled as a set of harmonic oscillators (bath). By simulating the SSE, we find that there is vibration-assisted electron tunnelling happening in certain biological parameters and coupling regimes. Furthermore, our model contributes to the ongoing research to understand the fundamental nature of virus dynamics. It proposes that vibration-assisted electron tunneling could be a molecular phenomenon that augments the lock-and-key process for olfaction. This insight may enhance our understanding of the underlying mechanisms governing virus-receptor interactions and could potentially lead to the development of novel therapeutic strategies.