bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insecticide resistance management of Bemisia tabaci (Hemiptera: Aleyrodidae) in Australian cotton – pyriproxyfen, spirotetramat and buprofezin
Authors: Hopkinson Jamie , Balzer Jacob , Fang Cao , Walsh Tom 
Published: January 2023

AbstractBACKGROUNDBemisia tabaci is a globally significant agricultural pest including in Australia, where it exhibits resistance to numerous insecticides. With a recent label change, buprofezin (group 16), is now used for whitefly management in Australia. This study investigated resistance to pyriproxyfen (group 7C), spirotetramat (group 23) and buprofezin using bioassays and available molecular markers.RESULTSBioassay and selection testing of B. tabaci populations detected resistance to pyriproxyfen with resistance ratios ranging from 4.1 to 56. Resistance to spirotetramat was detected using bioassay, selection testing and sequencing techniques. In populations collected from cotton, the A2083V mutation was detected in three populations of 85 tested, at frequencies ≤4.1%, whereas in limited surveillance of populations from an intensive horticultural region the frequency was ≥75.8%. The baseline susceptibility of B. tabaci to buprofezin was determined from populations tested from 2019 to 2020, in which LC50 values ranged from 0.61 to 10.75 mg L−1. From the bioassay data, a discriminating dose of 200 mg L−1 was developed. Recent surveillance of 16 populations detected no evidence of resistance with 100% mortality recorded at doses ≤32 mg L−1. A cross‐resistance study found no conclusive evidence of resistance to buprofezin in populations with high resistance to pyriproxyfen or spirotetramat.CONCLUSIONSIn Australian cotton, B. tabaci pest management is challenged by ongoing resistance to pyriproxyfen, while resistance to spirotetramat is an emerging issue. The addition of buprofezin provides a new mode‐of‐action for whitefly pest management, which will strengthen the existing insecticide resistance management strategy. © 2023 Commonwealth of Australia. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Residue behavior of cyantraniliprole and its ecological effects on Procambarus clarkii associated with the rice–crayfish integrated system
Authors: Liao Min , Liang Zihao , Wu Ruifeng , Xiao Jinjing , Gao Qun , Cao Haiqun 
Published: January 2023

AbstractBACKGROUNDCyantraniliprole, a second‐generation diamide insecticide, was recently introduced in China, where the rice–crayfish integrated system (RCIS) is practiced to control rice pest infestations. The aim of this study was to investigate the residue behavior of cyantraniliprole in RCIS and its potential ecological effects on nontarget Procambarus clarkii in order to recommend safe pesticide application strategies.RESULTSCyantraniliprole dissipated in rice plants according to first‐order kinetics, with an average half‐life of 5.25 days and a dissipation rate of >95% over 28 days. The terminal cyantraniliprole residue levels in rice straw, paddy hull and brown rice were all within 0.2 mg kg−1, which is the China‐recommended maximum residue limit. The tissues of P. clarkii accumulated and distributed cyantraniliprole in the descending order gill > hepatopancreas > intestine > muscles. Procambarus clarkii exposed to cyantraniliprole exhibited a moderate decrease in weight gain, specific growth rate and condition factor compared to the control group. Exposure of P. clarkii to cyantraniliprole caused histopathological alterations to the hepatopancreas, but the alterations were not statistically significant in the 60 g ai ha−1 cyantraniliprole group when compared with the control group.CONCLUSIONWe suggest that 10% cyantraniliprole oil dispersion be sprayed twice at an interval of 14 days and dosage of 60 g ai ha−1 during the growth stage of rice in RCIS. © 2023 Society of Chemical Industry.
Synthesis, insecticidal activity, and ensembled docking of nitroguanidines bearing S‐ and R‐proline
Authors: Rodríguez‐Hernández Alfredo , Bonilla‐Landa Israel , Vidal‐Limon Abraham , Ibarra‐Juárez Arturo , Barrera‐Méndez Felipe , Medrano Francisco Javier Enríquez , Díaz de León Ramón E. , Olivares‐Romero José Luis 
Published: January 2023

AbstractBACKGROUNDThe amino acids R‐ and S‐proline were used to synthesize novel neonicotinoid derivatives that, after being characterized by 1H, DEPTQ 135, and HRMS–QTOF, were evaluated for use as insecticides against Galleria mellonella (caterpillar), Sitophilus zeamais, Xylosandrus morigerus, Xyleborus affinis, and Xyleborus ferrugineus.RESULTSComparisons of biological activity and absolute configuration showed that the R enantiomer had excellent and outstanding insecticidal activity against the insects tested, with up to 100% mortality after 12 h compared with dinotefuran at the same concentration.CONCLUSIONSThe results suggest that compound R6 is an excellent lead enantiopure insecticide for future development in the field of crop protection. Furthermore, intermolecular interactions between nicotinic acetylcholine receptors and the R enantiomer displays a lower score which mean a higher affinity to the nAChR receptor and the π–π interactions are more stable than the S derivative. © 2023 Society of Chemical Industry.
A biographical approach to understanding irregular Chinese migration to the United Kingdom
Authors: Luo Siyu 
Published: January 2023

AbstractThis article explores why Chinese nationals move to the United Kingdom and continue to stay there illegally, even in recent years, when China has witnessed significant economic growth and the United Kingdom has been increasingly hostile towards irregular migrants. Using a biographical approach to study irregular migration, this article elicits migrants' life histories and considers their migration as part of their biographies and as related to other key life events. By reconstructing the biographies of three irregular Chinese migrants in the United Kingdom, this article argues that their migration is a way to escape from personal sufferings (negative childhood experiences and intimate relationship dissolutions) and a means of orienting themselves in a mobile social world. This article provides new insights into the field of irregular migration that remains dominated by economic rationalist perspectives, and it also helps to undermine the artificial dichotomy between voluntary and forced migration.
Fault tree analysis improvements: A bibliometric analysis and literature review
Authors: Yazdi Mohammad , Mohammadpour Javad , Li He , Huang Hong‐Zhong , Zarei Esmaeil , Pirbalouti Reza Ghasemi , Adumene Sidum 
Published: January 2023

AbstractFault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal the potential pathways leading to systems or components failure. It has been widely employed in numerous sectors to understand how a system fails and is improved. However, the conventional FTA has been criticized due to a series of inherent shortcomings in the FTA state of the arts. Accordingly, scholars, engineers, and practitioners made their attempts to improve the FTA by dealing with its critical deficiencies over the last decade. However, a few works have been performed to review and synthesize the relevant studies on FTA improvement topics. Thus, the present study is aimed to carry out a systematic literature review of the state‐of‐the‐art theoretical and empirical findings concerning FTA improvement from 2011 to 2021 using the Scopus database collection. In this sense, an in‐depth investigation is conducted using statistical metadata analysis. This subject discusses frontier directions and development trends to reveal the research status. In addition, a bibliometric study is undertaken to ascertain the most productive and influential researchers, research centers, and hotspot fields. It also sheds light on the FTA shortcomings in the existing literature, the evolution in FTA improvement topics, and research opportunities. The outcomes of the present work highlighted that the annual publications on FTA improvement topics are significantly growing, especially after 2019. Besides, Jianxiu Wang, Yan‐Feng Li, and Yihuan Wang are the most productive, prolific, and highly cited authors worldwide; and Asia, particularly China, is the leading contributor in the FTA area. According to Bradford's law, one‐third of all publications (7995) in the field of FTA improvement have been published by 40 sources. Finally, “Decision‐making,” “Risk analysis,” “Uncertainty Analysis,” and “Bayesian Networks” are the four major hot topics integrated into improving the conventional FTA.
Microbial bioremediation of Azo dyes: An environmentally sustainable technology
Authors: Panwar Priti , Mahajan Pooja , Kaushal Jyotsna 
Published: January 2023

AbstractAzo dyes, which are the most commonly used dyes in the textile industry, are aromatic compounds with N═N– groups. The treatment of these pollutants has been receiving considerable attention due to their persistence and release of dyes into the environment. The existing treatment approaches are not only expensive but also result in the production of concentrated sludge, which creates a secondary disposal issue. Under particular ecological conditions, a variety of microbes, including bacteria, fungi, algae, and yeasts, can not only decolorize numerous dyes but can also degrade them. In this respect, microbial degradation is a successful, cost‐effective, biologically friendly, and ecologically sustainable treatment strategy. This review paper discusses research articles identified in the ScienceDirect bibliographic database for the last 10 years (from January 1, 2010 to June 29, 2022). Only the most appropriate research articles were included in the review process which was identified by searches with keyword phrases Azo‐dye degradation with bacteria, fungi, algae, yeast, and microbial consortia. The review paper also emphasizes the constraints that persist and the future scope for the degradation of dyes via genetic engineering.
Distributed time‐varying optimization control for multirobot systems with collision avoidance by hierarchical approach
Authors: Wu Bofan , Peng Zhaoxia , Wen Guoguang , Huang Tingwen , Rahmani Ahmed 
Published: January 2023

AbstractIn this article, a distributed time‐varying optimization problem for multirobot systems with collision avoidance is studied. A hierarchical control framework is employed to simplify the complex problem into two subproblems in two layers. One is the network layer where a novel distributed time‐varying finite‐time optimal control protocol as a signal generator is proposed for each robot. The signal generator ignores the model constraint and uncertainty. The other is the real‐time layer, which mainly contains a sampling module and a robust nonlinear model predictive control (NMPC) module. The former samples the optimal signal from the signal generator as a series of sampling tracking points with proper distance to improve tracking performance, and the latter searches for the optimal control protocol for the robot system to track these sampling tracking points in sequence with the model constraint and uncertainty. Furthermore, considering the collision between each robot, a give‐way strategy is designed that the robot with a low priority has to stop to wait for the other with a high priority to move first. And a primary‐secondary judgment technology determines the priorities of robots adaptively according to the current state of the robots. If the way forward of the moving robot is blocked by the stopping one, an auxiliary point is introduced as a temporary transfer station to avoid collision further. Finally, the effectiveness of the proposed methods is verified by a simulation example.
Chlorotrimethylsilane and Sodium Iodide: An Expedient Combination for the Chemo/Regioselective Dehalogenation of Benzothiazole and Thiazole Derivatives
Authors: Vetrichelvan Muthalagu , Sankar Ulaganathan , Bokkala Vijayabhaskar , Akunuri Arun , Ramesh Natesan , Pitchai Manivel , Mathur Arvind , Gupta Anuradha 
Published: January 2023

AbstractThe combination of chlorotrimethylsilane and NaI is disclosed as a reducing system for protodehalogenation of benzothiazole and thiazole derivatives; surprisingly, the alkoxy groups present in the system are unaffected. The optimized reaction conditions tolerate various functional groups and display good efficiency in the regioselective protodehalogenation of a variety of benzothiazole and thiazole derivatives. In addition, the potential application of the protocol was examined by comparing it with previously developed methods; in most of the cases, the present strategy resulted in better yields under milder condition. The mechanistic studies suggest that the reaction probably proceeds through a radical pathway.
Preservation of Dopamine Levels in a Mouse Model of Parkinson's Disease by Carboxymethylated Silica and Starch Nanoparticles Coupled to Silybin
Authors: García Esperanza , Arturo García‐De‐La‐Rosa Luis , Fernanda Veloz‐Castillo María , Ángel Méndez‐Rojas Miguel , Chavarría Anahí 
Published: January 2023

AbstractSilybin has a neuroprotective effect in different models of neurodegenerative diseases as the MPTP‐induced parkinsonian model. However, silybin has poor water solubility, decreasing its efficacy when administered orally. Therefore, the search for possible vehicles or transport systems is relevant. Among the options are the drug delivery systems (DDS). In this work, we evaluated if the use of specific solvents (water or oil) or DDS [carboxymethylated silica nanoparticles (SiO2_SIL) or starch (CMS‐SIL)] would preserve the neuroprotective effect of silybin when administered orally in a Parkinson's model induced with 1‐methyl‐4‐phenyl‐1,2,3,6‐tetrahydropyridine (MPTP). C57BL/6J male mice were exposed to MPTP (30 mg/kg i.p) and, 30 minutes after, were treated with 100 mg/kg of silybin in oil or water as solvents or coupled to silica nanoparticles or carboxymethyl starch for five consecutive days. After the last administration of MPTP and silybin, striatal dopamine levels were determined on day seven. Our results showed that silybin in water as the non‐vehicle control had no protective effect in the MPTP model. Silybin in oil preserved 57 % dopamine levels in contrast to 72 % with SiO2_SIL and 50.7 % with CSM‐SIL. In conclusion, we demonstrated that silybin was effectively coupled to carboxymethylated silica nanoparticles and carboxymethylated starch‐based DDS without losing its neuroprotective effects.
Synthesis and Biological Evaluation of a Series of Quinoline‐Based Quinazolinones and Carbamic Anhydride Derivatives
Authors: Reddy Manne Madhava , Panicker Rakesh R , Ramakrishnan Kumar , Hareendran Hima M. K. , Kumar Pal Sudhir , Kumar Sanjit , Pallepogu Raghavaiah , Desikan Rajagopal , Sivaramakrishna Akella 
Published: January 2023

AbstractQuinoline‐based compounds are one of the most important classes of N‐heterocyclics exhibiting a wide spectrum of biological activities. There is a constant demand for the synthesis of new quinoline‐based molecules suitable for therapeutic applications. Here a new strategy is developed to synthesize different quinoline‐based quinazolinones catalytically using InCl3 through a cyclocondensation reaction of isatoic anhydride and aniline with 2‐substituted‐quinoline‐3‐carbaldehyde to produce 2‐(2‐phenoxyquinolin‐3‐yl)‐3‐phenyl‐2,3‐ dihydroquinazolin‐4(1H)‐one derivatives (>90 % yields). In contrast, the reduced electrophilicity at the metal center allows the hydrazide ligand to bind In(III) and serendipitously forms benzoic(2‐phenoxyquinoline‐3‐carbonyl) carbamic anhydride (∼70 % yields). The mechanistic aspects of these reactions were rationally explained. The structure and purity of all the isolated derivatives were assessed by spectroscopic and analytical data. In view of a strong correlation existing between inflammation and cancer progression, the ex‐vivo anti‐inflammatory effect of the ligands was established. The anti‐cancer property of the proposed ligand was delineated with a specific SIRT protein family. Further, the computational docking studies on the binding abilities of 22 synthesized compounds with the Sirt1 protein were discussed in detail.
Bio‐Inspired Soft‐Rigid Hybrid Smart Artificial Muscle Based on Liquid Crystal Elastomer and Helical Metal Wire
Authors: Zhao Limeng , Tian Hongmiao , Liu Haoran , Zhang Weitian , Zhao Fabo , Song Xiaowen , Shao Jinyou 
Published: January 2023

AbstractArtificial muscles are of significant value in robotic applications. Rigid artificial muscles possess a strong load‐bearing capacity, while their deformation is small; soft artificial muscles can be shifted to a large degree; however, their load‐bearing capacity is weak. Furthermore, artificial muscles are generally controlled in an open loop due to a lack of deformation‐related feedback. Human arms include muscles, bones, and nerves, which ingeniously coordinate the actuation, load‐bearing, and sensory systems. Inspired by this, a soft‐rigid hybrid smart artificial muscle (SRH‐SAM) based on liquid crystal elastomer (LCE) and helical metal wire is proposed. The thermotropic responsiveness of the LCE is adopted for large reversible deformation, and the helical metal wire is used to fulfill high bearing capacity and electric heating function requirements. During actuation, the helical metal wire's resistance changes with the LCE's electrothermal deformation, thereby achieving deformation‐sensing characteristics. Based on the proposed SRH‐SAM, a reconfigurable blazed grating plane and the effective switch between attachment and detachment in bionic dry adhesion are accomplished. The SRH‐SAM opens a new avenue for designing smart artificial muscles and can promote the development of artificial muscle‐based devices.
Controllable Synthesis of Carbon Yolk‐Shell Microsphere and Application of Metal Compound–Carbon Yolk‐Shell as Effective Anode Material for Alkali‐Ion Batteries
Authors: Kim Yeong Beom , Seo Hyo Yeong , Kim Sang‐Hyun , Kim Tae Ha , Choi Jae Hyeon , Cho Jung Sang , Kang Yun Chan , Park Gi Dae 
Published: January 2023

AbstractRecently, nanostructured carbon materials, such as hollow‐, yolk‐, and core‐shell‐configuration, have attracted attention in various fields owing to their unique physical and chemical properties. Among them, yolk‐shell structured carbon is considered as a noteworthy material for energy storage due to its fast electron transfer, structural robustness, and plentiful active reaction sites. However, the difficulty of the synthesis for controllable carbon yolk‐shell has been raised as a limitation. In this study, novel synthesis strategy of nanostructured carbon yolk‐shell microspheres that enable to control morphology and size of the yolk part is proposed for the first time. To apply in the appropriate field, cobalt compounds‐carbon yolk‐shell composites are applied as the anode of alkali‐ion batteries and exhibit superior electrochemical performances to those of core‐shell structures owing to their unique structural merits. Co3O4‐C hollow yolk‐shell as a lithium‐ion battery anode exhibits a long cycling lifetime (619 mA h g−1 for 400 cycles at 2 A g−1) and excellent rate capability (286 mA h g−1 at 10 A g−1). The discharge capacities of CoSe2‐C hollow yolk‐shell as sodium‐ and potassium‐ion battery anodes at the 200th cycle are 311 mA h g−1 at 0.5 A g−1 and 268 mA h g−1 at 0.2 A g−1, respectively.
Entropy optimization of Marangoni flow of hybrid nanofluid under the influence of viscous dissipation and activation energy: With melting phenomenon
Authors: Manzoor Umair , Waqas Hassan , Farooq Umar , Muhammad Taseer , Imran Muhammad 
Published: January 2023

AbstractAs nanotechnology and optimization develop, the demand for more effective and robust heat transfer fluids with much greater thermal conductivities than ordinary ones grows. Marangoni convection is often employed in coloring on the ground, for example, in fine art mechanisms. Melting and welding operations are the most prominent manufacturing uses of the Marangoni convection principle. This article aims to reveal the characteristics of hybrid nanofluid () and nanofluid () under the influence of Margorani convection and Entropy generation in a porous Darcy‐Forchheimer medium under melting circumstances. Viscous dispersion and activation energy's effects are also taken into account. The suggested fluid flow problem is mathematically modeled. A built‐in shooting technique algorithm tackles the dimensionless flow model. After applying suitable transformations, the governing nonlinear PDEs are reduced to highly nonlinear ODEs. The numerical outcomes of obtained ODEs are attained through the bvp4c technique built‐in MATLAB. The effects of various classes of significant parameters on the rate of heat generation and Bejan number profiles are investigated. The physical impact of the flow‐regulating constraint factors is visualized via graphical representations. The results are summarized based on numerical data compared to important engineering formulas such as surface drag force, Sherwood numbers, Nusselt, and density. In terms of final remarks, the main findings are successfully described. This article delves further into the uses of hybrid nanofluids in the primary study regions of medicine, space, ships, and defense. Some of these research areas include the automotive industry, heat exchangers coolant in machining, heat pipes, and manufacturing, electronic cooling, refrigeration, solar energy as well as applications for ventilation, heating, and air conditioning, nuclear system cooling, generator cooling, transformer cooling, and electronic cooling.
Estimates for the Heat Flow in Optimal Spaces of Unbounded Initial Data in $$\mathbb {R}^{{d}}$$ and Applications to the Ornstein–Uhlenbeck Semigroup
Authors: Robinson James C. , Rodríguez-Bernal Anibal 
Published: January 2023

AbstractIn this paper, we improve some estimates from [7] for solutions of the heat equation with initial conditions that are large ‘at infinity’ and employ them to obtain suitable estimates on the solutions of the Ornstein–Uhlenbeck semigroup [solutions of $$u_t-\Delta u=\alpha x \cdot \nabla u$$

u
t

-
Δ
u
=
α
x
·
∇
u

] for the same class of unbounded data.