bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural products from Xenorhabdus and Photorhabdus show promise as biolarvicides against Aedes albopictus
Authors: Touray Mustapha , Ulug Derya , Gulsen Sebnem Hazal , Cimen Harun , Hazir Canan , Bode Helge B. , Hazir Selcuk 
Published: April 2024

AbstractBACKGROUNDIn the perpetual struggle to manage mosquito populations, there has been increasing demand for the development of biopesticides to supplant/complement current products. The insecticidal potential of Xenorhabdus and Photorhabdus has long been recognized and is of interest for the control of important mosquitoes like Aedes albopictus which vectors over 20 different arboviruses of global public health concern.RESULTSThe larvicidal effects of cell‐free supernatants, cell growth cultures and cell mass of an extensive list of Xenorhabdus and Photorhabdus spp. was investigated. They were quite effective against Ae. albopictus causing larval mortality ranging between 52–100%. Three Photorhabdus spp. and 13 Xenorhabdus spp. release larvicidal compounds in cell‐free supernatants. Cell growth culture of all tested species exhibited larvicidal activity, except for Xenorhabdus sp. TS4. Twenty‐one Xenorhabdus and Photorhabdus bacterial cells (pellet) exhibited oral toxicity (59–91%) against exposed larvae. The effect of bacterial supernatants on the mosquito eggs were also assessed. Bacterial supernatants inhibited the hatching of mosquito eggs; when unhatched eggs were transferred to clean water, they all hatched. Using the easyPACId approach, the larvicidal compounds in bacterial supernatant were identified as fabclavine from X. szentirmaii and xencoumacin from X. nematophila (causing 98 and 70% mortality, respectively, after 48 h). Xenorhabdus cabanillasii and X. hominickii fabclavines were as effective as commercial Bacillus thuringiensis subsp. israelensis and spinosad products within 5 days post‐application (dpa).CONCLUSIONFabclavine and xenocoumacin can be developed into novel biolarvicides, can be used as a model to synthesize other compounds or/and can be combined with other commercial biolarvicides. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Current insights and future perspectives of flavonoids: A promising antihypertensive approach
Authors: Harahap Urip , Syahputra Rony Abdi , Ahmed Amer , Nasution Azhari , Wisely Wenny , Sirait Maureen Lazurit , Dalimunthe Aminah , Zainalabidin Satirah , Taslim Nurpudji Astuti , Nurkolis Fahrul , Kim Bonglee 
Published: April 2024

AbstractHypertension, or high blood pressure (BP), is a complex disease influenced by various risk factors. It is characterized by persistent elevation of BP levels, typically exceeding 140/90 mmHg. Endothelial dysfunction and reduced nitric oxide (NO) bioavailability play crucial roles in hypertension development. L‐NG‐nitro arginine methyl ester (L‐NAME), an analog of L‐arginine, inhibits endothelial NO synthase (eNOS) enzymes, leading to decreased NO production and increased BP. Animal models exposed to L‐NAME manifest hypertension, making it a useful design for studying the hypertension condition. Natural products have gained interest as alternative approaches for managing hypertension. Flavonoids, abundant in fruits, vegetables, and other plant sources, have potential cardiovascular benefits, including antihypertensive effects. Flavonoids have been extensively studied in cell cultures, animal models, and, to lesser extent, in human trials to evaluate their effectiveness against L‐NAME‐induced hypertension. This comprehensive review summarizes the antihypertensive activity of specific flavonoids, including quercetin, luteolin, rutin, troxerutin, apigenin, and chrysin, in L‐NAME‐induced hypertension models. Flavonoids possess antioxidant properties that mitigate oxidative stress, a major contributor to endothelial dysfunction and hypertension. They enhance endothelial function by promoting NO bioavailability, vasodilation, and the preservation of vascular homeostasis. Flavonoids also modulate vasoactive factors involved in BP regulation, such as angiotensin‐converting enzyme (ACE) and endothelin‐1. Moreover, they exhibit anti‐inflammatory effects, attenuating inflammation‐mediated hypertension. This review provides compelling evidence for the antihypertensive potential of flavonoids against L‐NAME‐induced hypertension. Their multifaceted mechanisms of action suggest their ability to target multiple pathways involved in hypertension development. Nonetheless, the reviewed studies contribute to the evidence supporting the useful of flavonoids for hypertension prevention and treatment. In conclusion, flavonoids represent a promising class of natural compounds for combating hypertension. This comprehensive review serves as a valuable resource summarizing the current knowledge on the antihypertensive effects of specific flavonoids, facilitating further investigation and guiding the development of novel therapeutic strategies for hypertension management.
Statistical Complexity of Quantum Learning
Authors: Banchi Leonardo , Pereira Jason Luke , Jose Sharu Theresa , Simeone Osvaldo 
Published: April 2024

AbstractLearning problems involve settings in which an algorithm has to make decisions based on data, and possibly side information such as expert knowledge. This study has two main goals. First, it reviews and generalizes different results on the data and model complexity of quantum learning, where the data and/or the algorithm can be quantum, focusing on information‐theoretic techniques. Second, it introduces the notion of copy complexity, which quantifies the number of copies of a quantum state required to achieve a target accuracy level. Copy complexity arises from the destructive nature of quantum measurements, which irreversibly alter the state to be processed, limiting the information that can be extracted about quantum data. As a result, empirical risk minimization is generally inapplicable. The paper presents novel results on the copy complexity for both training and testing. To make the paper self‐contained and approachable by different research communities, an extensive background material is provided on classical results from statistical learning theory, as well as on the distinguishability of quantum states. Throughout, the differences between quantum and classical learning are highlighted by addressing both supervised and unsupervised learning, and extensive pointers are provided to the literature.
H∞ attenuation of disturbance switching over multiple frequency ranges
Authors: Cai Chenxiao , Song Xiaoqi , Liu Jason J. R. , Cheng Peng , Lam James 
Published: April 2024

SummaryThis paper addresses the problem of switching control for systems subject to external disturbances that vary over multiple frequency ranges. Specifically, two different scenarios of disturbance injection are considered; namely, the disturbance may switch between different prescribed frequency ranges, subject to an average dwell time setting, or the disturbance may reside within one of the frequency ranges. To address these scenarios, a disturbance‐triggered control scheme is developed that divides the entire frequency range into low‐, mid‐, and high‐frequency ranges. This scheme ensures closed‐loop stability under average dwell time frequency‐range switching and achieves performance when operated under individual frequency ranges. Synthesis conditions in matrix inequalities are derived to characterize the switching control, and an iterative algorithm is proposed for finding a desired set of controller gains. Finally, two examples are presented to illustrate the effectiveness of the proposed control method.
Distributed finite‐time backstepping adaptive containment control for multiple unmanned aerial vehicles with input saturation
Authors: Liu Bojian , Li Aijun , Guo Yong , Wang Changqing 
Published: April 2024

AbstractThis paper investigates a distributed adaptive finite‐time containment control scheme for multiple unmanned aerial vehicles subject to external disturbances and input saturation. Combined with a novel indicator of the saturation degree designed by the hyperbolic tangent function, an adaptive method is proposed to deal with the input saturation issue, which considers both symmetry and asymmetry saturation. Moreover, to address the problem of the “explosion of terms” inherent in the traditional backstepping controller design, a fixed‐time sliding mode differentiator is utilized to approximate the derivative of the virtual signal in the command‐filtered backstepping method. Finally, the convergence of the errors and the practicability of the control law are verified by Lyapunov stability analysis and numerical simulations.
LTA‐OM: Long‐term association LiDAR–IMU odometry and mapping
Authors: Zou Zuhao , Yuan Chongjian , Xu Wei , Li Haotian , Zhou Shunbo , Xue Kaiwen , Zhang Fu 
Published: April 2024

AbstractThis paper focuses on the Light Detection and Ranging (LiDAR)–Inertial Measurement Unit (IMU) simultaneous localization and mapping (SLAM) problem: How to fuse the sensor measurement from the LiDAR and IMU to online estimate robot's poses and build a consistent map of the environment. This paper presents LTA‐OM: an efficient, robust, and accurate LiDAR SLAM system. Employing fast direct LiDAR‐inertial odometry (FAST‐LIO2) and Stable Triangle Descriptor as LiDAR–IMU odometry and the loop detection method, respectively, LTA‐OM is implemented to be functionally complete, including loop detection and correction, false‐positive loop closure rejection, long‐term association (LTA) mapping, and multisession localization and mapping. One novelty of this paper is the real‐time LTA mapping, which exploits the direct scan‐to‐map registration of FAST‐LIO2 and employs the corrected history map to provide direct global constraints to the LIO mapping process. LTA mapping also has the notable advantage of achieving drift‐free odometry at revisit places. Besides, a multisession mode is designed to allow the user to store the current session's results, including the corrected map points, optimized odometry, and descriptor database for future sessions. The benefits of this mode are additional accuracy improvement and consistent map stitching, which is helpful for life‐long mapping. Furthermore, LTA‐OM has valuable features for robot control and path planning, including high‐frequency and real‐time odometry, driftless odometry at revisit places, and fast loop closing convergence. LTA‐OM is versatile as it is applicable to both multiline spinning and solid‐state LiDARs, mobile robots and handheld platforms. In experiments, we exhaustively benchmark LTA‐OM and other state‐of‐the‐art LiDAR systems with 18 data sequences. The results show that LTA‐OM steadily outperforms other systems regarding trajectory accuracy, map consistency, and time consumption. The robustness of LTA‐OM is validated in a challenging scene—a multilevel building having similar structures at different levels. To demonstrate our system, we created a video which can be found on https://youtu.be/DVwppEKlKps.
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization
Authors: Yu‐Zhu Tian , Chun‐Ho Wu , Ling‐Nan Tai , Zhi‐Bao Mian , Mao‐Zai Tian 
Published: April 2024

AbstractOrdinal data frequently occur in various fields such as knowledge level assessment, credit rating, clinical disease diagnosis, and psychological evaluation. The classic models including cumulative logistic regression or probit regression are often used to model such ordinal data. But these modeling approaches conditionally depict the mean characteristic of response variable on a cluster of predictive variables, which often results in non‐robust estimation results. As a considerable alternative, composite quantile regression (CQR) approach is usually employed to gain more robust and relatively efficient results. In this paper, we propose a Bayesian CQR modeling approach for ordinal latent regression model. In order to overcome the recognizability problem of the considered model and obtain more robust estimation results, we advocate to using the Bayesian relative CQR approach to estimate regression parameters. Additionally, in regression modeling, it is a highly desirable task to obtain a parsimonious model that retains only important covariates. We incorporate the Bayesian penalty into the ordinal latent CQR regression model to simultaneously conduct parameter estimation and variable selection. Finally, the proposed Bayesian relative CQR approach is illustrated by Monte Carlo simulations and a real data application. Simulation results and real data examples show that the suggested Bayesian relative CQR approach has good performance for the ordinal regression models.
Enhancing Corrosion Resistance of Mild Steel in 1M HCl: Investigation of New Benzoxazepine Derivatives Through Synthesis, Electrochemical Analysis, Surface Analysis, XPS, DFT, and Molecular Dynamics Simulation
Authors: Kharbouch O. , Dahmani K. , Errahmany N. , Belkheiri A. , Galai M. , El Hajri F. , Alobaid A. A. , Warad I. , Boukhris S. , Ebn Touhami M. , Nassali H. 
Published: April 2024

AbstractThis research delineates the corrosion inhibitory efficiency of two newly synthesized benzoxazepine derivatives – [3,3‐dimethyl‐11‐phenyl‐3,4,5,11‐tetrahydrodibenzo[b,e] [1,4]oxazepine‐1(2 H)‐one (S1)] and [11‐(4‐chlorophenyl)‐3,3‐dimethyl‐3,4,5,11‐tetrahydrodibenzo[b,e][1,4]oxazepine‐1(2 H)‐one (S2)] – on mild steel in 1M HCl milieu. These derivatives were characterized by proton (1H NMR) and carbon (13C NMR) nuclear magnetic resonance spectroscopy. The experimental approach encompassed potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) techniques. The corrosion inhibition efficacy of S1 and S2 was concentration‐dependent, with their efficiencies peaking at 92.0 % and 92.1 %, respectively, at a 10−3 M concentration. Surface characterization, conducted using scanning electron microscopy (SEM), energy‐dispersive X‐ray analysis (EDS), X‐ray diffraction (XRD), contact angle measurements, and X‐ray photoelectron spectroscopy (XPS), corroborated the formation of a protective barrier layer on the mild steel surface. Additionally, using an inductive approach, UV‐visible spectrometry was employed to elucidate the adsorption behaviors of these inhibitors on the steel surface. Density functional theory (DFT) and molecular dynamics (MD) simulations were utilized to decipher the interaction mechanisms and adsorption modalities, unveiling critical insights into the interactions of S1 and S2 with the mild steel surface. This comprehensive analysis highlights the robust corrosion inhibition potential of the newly synthesized benzoxazepine derivatives and illuminates their prospective utility as effective inhibitors for mild steel in corrosive environments.
Robust Synthesis of Hydrophobic Biosorbent for Effective Oil/Organic Solvent Cleanup
Authors: Bondarde Mahesh P. , Dhumal Pratik S. , Lokhande Kshama D. , Bhakare Madhuri A. , Some Surajit 
Published: April 2024

AbstractDifferent carbon‐based sorbents are widely used for the refinement of industrial as well as domestic effluent because of their availability, low cost, and excellent hydrophobicity. In this article, the activated biosorbent (ABs) material was prepared and applied to develop a membrane (ABs@Membrane) and sponge (ABs@Sponge) for effective oil and organic solvent cleanup from water mixtures. The one‐pot process was adopted to prepare ABs material by the simple carbonization of naturally available cotton and biowaste chitosan with sulphuric acid. The fabricated ABs@Membrane and ABs@Sponge showed excellent hydrophobicity with excellent water contact angle, i. e., 138.06° and 135.58°, respectively. Moreover, the synthesized ABs@Sponge showed excellent oil/organic solvent absorption capacity in the presence of water, i. e., 40 gm of machine oil and 62 gm of chloroform. Whereas the synthesized ABs@Membrane material showed excellent oil‐water separation efficiency (>90 %) and water flux (219.29 Lm−2 h−1) with a good oil rejection ratio (>91 %). The synthesized ABs@Membrane and ABs@Sponge material showed excellent recyclability performance up to 5th no of consecutive cycles. The straightforward synthesis and fabrication of ABs@Membrane and ABs@Sponge materials with excellent oil rejection ratio and oil/organic solvent separation performance open a new window in the effluent water treatment application.
Synthesis of Polycyclic Pyrrolopyridine Derivatives via Multicomponent Synthesis of 1,5‐Diketones
Authors: Chaurasia Ujjain , Parvin Tasneem 
Published: April 2024

AbstractA simple, two‐step process was developed for the easy access of polycyclic pyrrolopyridine derivatives. The first step involves a multicomponent reaction of aryl glyoxal, cyclohexane‐1,3‐dione derivatives and 2‐amino‐1,4‐napthoquinone in AcOH: H2O (1 : 1 v/v) under reflux conditions which led to the formation of 1,5‐diketones in 15 min of reaction time. In the second step, the reaction of ammonium acetate with 1,5‐diketones in AcOH under reflux conditions resulted the formation of polycyclic pyrrolopyridine derivatives. All the products were characterized by FTIR, 1H NMR, 13C NMR and HRMS. The single crystal XRD of one compound was recorded to further confirm the structure of the product. The presence of several bioactive moieties in our product, simple reaction process, metal‐free reaction conditions, easy purification method, and good yields of the products are the notable features of this methodology.
Greener Synthesis, Molecular Docking and Anticancer Studies of A New Series of 6‐Hydroxy‐5‐(3‐(3‐hydroxy‐1,4‐dioxo‐1,4‐dihydronaphthalen‐2‐yl)‐2‐oxoindolin‐3‐yl) pyrimidine‐2,4(1H,3H)‐diones
Authors: Tamilselvi Velmurugan , Subramani Maheswari Cinnathambi , Kavishree Venkatesan , Peroli Udhayakumar , Lalitha Appaswami 
Published: April 2024

AbstractGreener solvent mediated simple and efficient synthesis of 6‐hydroxy‐5‐(3‐(3‐hydroxy‐1,4‐dioxo‐1,4‐dihydronaphthalen‐2‐yl)‐2‐oxoindolin‐3‐yl)pyrimidine‐2,4(1H,3H)‐diones has been achieved through the one‐pot multicomponent condensation reaction between 2‐hydroxy‐1,4‐naphthoquinone, substituted isatin and barbituric acid/thiobarbituric acid/1,3‐dimethylbarbituric acid using ethanol‐water as a solvent without any catalyst at room temperature has been described. Molecular docking studies have been performed with Akt kinase enzyme protein which helped to rationalize the binding energy of all the synthesized compounds. The docking of compound 4d, with human Akt kinase enzyme showed a good binding interaction with lowest binding energy. Based on the results from the molecular docking studies, the compound 4d was further studied for its in‐vitro anticancer activity against human breast cancer cells (MCF‐7) and human normal breast cells (HBL 100) by MTT assay which also proved the potential anticancer activity of 4d.
Synthesis, Crystal Structure, Computational Investigation of Vanillin Azine Derivative as Potent Blocker of the N‐Terminal Ras‐Binding Domain (RBD) in Human a‐Raf Kinase
Authors: Mohamed Shaaban K. , Karthikeyan Subramani , Ahsin Atazaz , Omran Omran A. , Mague Joel T. , Al‐Salahi Rashad , Bakri Youness El 
Published: April 2024

AbstractVanillin is the main component of natural vanilla extract and is responsible for its flavoring properties. Besides its well‐known applications as an additive in food and cosmetics. In this, we have synthesized a new vanillin derivative. Its structure was characterized by IR, MS, NMR and confirmed by single‐crystal X‐ray analysis. The asymmetric unit of the title molecule consists of two independent half molecules, each having crystallographically imposed centrosymmetry. Reticular layers approximately parallel to the bc plane are generated from one molecule through O−H⋅⋅⋅N hydrogen bonds. The layers are linked by the second molecule through O−H⋅⋅⋅O hydrogen bonds to form a 3‐D network structure. We carried out density functional investigations to understand the compound‘s molecular reactivity and chemical stability. Frontier molecular orbital (FMO) analysis, global reactivity, and Fukui parameters were calculated at the B3LYP/6‐31+G(d,p) method. In 20 % to 30 % of human malignancies, RAS genes are activated ontogenetically by point mutations. New strategies to block this oncogenic protein are needed since it has proven difficult to create efficient RAS inhibitors. The above‐titled compound shows better structural activity relationship studies against Ras‐binding domine, based on this molecular docking simulation as well as the drug‐likeness analysis carried out for our newly synthesized compound.
Structure, Thermal Properties and Photoluminescence of Terbium and Dysprosium Mixed‐Ligand Complexes with Dimethyl‐N‐Trichloroacetylamidophosphate and 2,2’‐Bipyridine
Authors: Struhatska Mariia B. , Kariaka Nataliia S. , Dyakonenko Viktoriya V. , Shishkina Svitlana V. , Smola Sergii S. , Rusakova Nataliia V. , Trush Viktor O. , Amirkhanov Volodymyr M. 
Published: April 2024

AbstractConsidering the growing interest in lanthanide‐based multifunctional materials two mixed‐ligand complexes [Ln(L)3bipy] (Ln=TbIII, DyIII) with carbacylamidophosphate (CAPh) type ligand – dimethyl‐N‐trichloroacetylamidophosphate (HL) and additional bidentate ligand 2,2’‐bipyridine (bipy) were obtained and studied by X‐ray diffraction study, thermal gravimetric analysis, and luminescence spectroscopy. The obtained complexes are monomeric and isostructural with earlier reported europium analog and crystallizes in the monoclinic system (space group C2/c). They are stable during long‐term storage for at least a couple of years as well as thermally stable up to nearly 200 °C. Both complexes exhibit f–f luminescence upon excitation into the 2,2’‐bipyridine absorption band, being emitters of green (TbIII) and yellow (DyIII) light. The luminescence intensity of the obtained complexes decreases constant exposure to UV radiation for several hours and then stays constant for at least till 32 h.
A Cellulose‐Based Adsorbent using Box‐Behnken Design for the Adsorption of Reactive Blue 19 Dye from Simulated Wastewater
Authors: Yadav Ankita A. , Rajput Swapnil , Yadav Anandkumar , Patwardhan Anand V. , Adivarekar Ravindra V. 
Published: April 2024

AbstractThis study attempts a successful synthesis of a cellulose‐based adsorbent using orthophosphoric acid as a chemical activating agent followed by pyrolysis. A detailed characterization of synthesized adsorbent in terms of its morphology, material crystallinity, and surface area was studied. Batch studies were performed to remove reactive blue 19 dye from its simulated wastewater. The impact of various adsorption parameters such as adsorbent dosage (A: 0.1 to 0.5 g), initial dye concentration (B: 100 to 500 mg/L), contact time (C: 10 to 180 min), pH (D: 2 to 10), temperature (E: 35 to 60 °C) were examined and optimized using on Box‐Behnken method with Response Surface Methodology. The experimentally obtained adsorption data were fitted to different isotherms and kinetic models. The findings prove that more than 96 % of 400 mg/L of RB19 dye removal is possible with 4 g/L dosage in 18.5 min at 50 °C with its original pH of 6.8. Also, three cycles of regenerability and reusability of CBA gives 51.88 % of RB19 dye removal. Moreover, the possibility of using spent adsorbent in the boiler as a fuel was explored. Consequently, this research will contribute to SDG6 by maintaining circularity and sustainability in the entire process.