Oxygenation is a fundamental transformation in synthesis. Herein, we describe the selective late‐stage oxygenation of sulfur‐containing complex molecules with ground‐state oxygen under ambient ...conditions. The high oxidation potential of the active uranyl cation (UO22+) enabled the efficient synthesis of sulfones. The ligand‐to‐metal charge transfer process (LMCT) from O 2p to U 5f within the O=U=O group, which generates a UV center and an oxygen radical, is assumed to be affected by the solvent and additives, and can be tuned to promote selective sulfoxidation. This tunable strategy enabled the batch synthesis of 32 pharmaceuticals and analogues by late‐stage oxygenation in an atom‐ and step‐efficient manner.
The late‐stage oxygenation of sulfur‐containing complex molecules was achieved with ground‐state oxygen under ambient conditions. Use of the uranyl cation (UO22+) as the active photocatalyst enabled the synthesis of sulfone and sulfoxide derivatives of 32 pharmaceuticals in an atom‐ and step‐efficient manner.
Current electricity pricing models take into account costs of generation, transmission, emissions and a fixed cost of distribution based on time of day and type of primary source. However, the ...authors postulate that increasing fast charging for EVs will lead to increased overloading and voltage drops observed in networks at the low voltage level. To this end, the authors propose a novel method that encourages reactive power injection to minimize voltage drops and active power injection to minimize cable loading by using a centralized, double-sided optimized algorithm. This model allows for peer-to-peer power delivery, incentivized using pricing factors, encouraging local optimization-based solutions to network overloading as well as increased islanding in the network as a means of improving grid resilience and allowing optimal EV charging and discharging. Incentivized peer-to-peer transactions are then recorded in a centralized blockchain, with instantaneous power serving as the transactional commodity for both fixed consumers and generators (houses) and mobile consumers and generators (EVs). The mathematical model, as well as the impact of such a decentralized network compared to a business-as-usual network shows the potential of decongestion of 5–10% in terms of a reduction in voltage drops and cable loading with even a low EV penetration level (<5% of available transportation) by using existing resources as V2G and voltage stability resources.
•Optimized EV charging and discharging algorithm using P2P power transactions.•Instantaneous power serving as the transactional commodity.•Incorporates fixed and mobile consumers and generators.•Decongestion of 5–10% in terms of a reduction in voltage drops and cable loading.•Novel method of reducing network congestion using DERs (solar, storage and EVs).
A lab-scale parallel photoreactor model has been developed for broad applications in organic chemistry. Position, angle, and distance in the reactor are systematically optimized for achieving high ...reproducibility under the guidance of the Inverse Square Law and Lambert’s Cosine Law, which were first applied in the design of the photoreactor. Improvement of photon efficiency is realized via 3-point irradiation and broad-band light reflector of aluminum. Photon flux is measured with an optical power meter with its display and adjustment suggested being integrated into the photoreactor for the first time.
An efficient lab-scale photoreactor has been developed with enhanced photon efficiency, achieved by the application of optical laws on reactor design, which provides enhanced control, reproducibility and significant improvement in reaction performance. Display omitted
In this paper, separate and combined ratio type estimators have been proposed in presence of non-response for estimating the population mean under stratified random sampling when the non-response ...occurs both on study and the auxiliary variables and the population mean of the auxiliary variable is unknown. The expressions for the biases and mean square errors (MSEs) of the proposed estimators have been derived to the first order of approximation. The proposed estimators have been compared with the other existing estimators using MSE criterion, and the condition under which the proposed estimators perform better than existing estimators have been obtained. In addition to the theoretical research, an empirical study was conducted.
Cereals are staple food for many countries and are grown on millions of hectares of land, but much of the harvest is wasted due to losses by pests. To minimize these losses, many pesticides are used ...which are damaging to the environment and human health. There are debates to get rid of these chemicals but they are still in use at large scale. An alternative control strategy for insect pests in storage houses is the use of botanicals. In this study, four plant essential oils, two plant extracts, two herbicides, and two insecticides were used against Tribolium confusum and the comparison of toxicity was made by calculating LC50 and LT50 values. LC50 values were higher for abamectin (2.09–10.23 mg/L) and cypermethrin (3.41–11.78 mg/L) insecticides followed by neem essential oil (7.39–19.24 mg/L) and citrus extract (10.14–24.50 mg/L). However, LC50 values were maximum in case of jaman plant extract (22.38–176.42 mg/L) followed by two herbicides, Logran (19.66–39.72 mg/L) and Topik (29.09–47.67 mg/L) However, LC50 values were higher for topic herbicide (24.098 ppm) and jaman essential oil (16.383 ppm) after four days of treatment. Abamectin and cypermethrin insecticides, neem essential oil and citrus plant extract also killed adults of T. confusum quicker as compared other essential oils, extracts and herbicides. Results revealed that botanical formulations being environmentally safe could be used instead of highly hazardous pesticides for stored products’ pests. This study also elaborates the non-host toxicity of herbicides commonly applied in our agroecosystem.
This study investigates whether green supply chain management (GSCM) practices help companies to be resilient against the buffer effect in the context of COVID-19. Building on the instrumental ...version of stakeholder theory, companies implementing GSCM practices should build environmental skills and competitive advantage to cope with a crisis caused by supply chain disruptions. Our survival analysis, conducted on 5,696 firms headquartered in 35 countries, shows clear evidence that GSCM companies’ market prices recover quickly from the shock. Considering mounting pressure on environmental issues, this study documents the new benefits of GSCM for companies confronted with a global financial shock. By applying a large sample, the study has originality and implications for stakeholders, including investors, governments, and policymakers, to push firms to become more eco-friendly and resilient.
•The COVID-19 crisis severely affected companies’ share prices.•Environmentally sustainable practices may help firms during supply chain disruption.•Environmental policies could make organizations resilient to the COVID-19 crisis.•Green supply chain management improves a firm’s financial performance.
In the current investigation, we have suggested a Difference Cum-Exponential Type Efficient Estimator of Population variance of the study variable using information on the auxiliary variable. Up to ...the first order of approximation, the proposed estimator's bias and mean square error (MSE) expressions are derived and suggested optimum estimator is also found, with its optimal qualities are investigated. The suggested estimator is proven to be more competent than sample variance, classic ratio estimators based on Isaki , Singh et al. and Kadilar and Cingi estimators in 1-3. Numerical study is also carried out by using real data sets.
In this article, a class of Poisson-regression based estimators has been proposed for estimating the finite population mean in simple random sampling without replacement (SRSWOR). The ...Poisson-regression model is the most common method used to model count responses in many studies. The expression for bias and mean square error (MSE) of proposed class of estimators are obtained up to first order of approximation. The proposed estimators have been compared theoretically with the existing estimators, and the condition under which the proposed class of estimators perform better than existing estimators have been obtained. Two real data sets are considered to assess the performance of the proposed estimators. Numerical findings confirms that the proposed estimators dominate over the existing estimators such as Koc (2021) and Usman et al. (2021) in terms of mean squared error.
PDF
