bluuebunny/crossref_metadata_2025_split huggingface dataset:
One‐step preparation and characterization of insensitive HMX@PDA particles with microfluidic technology
Authors: Yu Jin , Jiang Hanyu , Xu Siyu , Yao Ergang , Hao Haixia , Li Heng , Wang Yiping , Li Meng , Pei Qing , Zhang Yang , Zhao Fengqi 
Published: October 2023

AbstractIn order to improve the security of 1,3,5,7‐tetranitro‐1,3,5,7‐tetrazocane (HMX) preparation and application process, microfluidic technology was used to improve the crystal quality and surface coating in one step. Using polydopamine (PDA) as coating material, the insensitive HMX@PDA particles were prepared. The morphology, particle size and crystal form of HMX@PDA are regulated by supersaturation. When the concentration of HMX is 0.15 g ⋅ mL−1, the flow ratio of the two‐phase solution is 1 : 1, and the total flow rate is 10 mL ⋅ min−1, the properties of the samples were optimized to the greatest extent. At this point, the particle size of the sample was about 25 μm, SPAN value is 1.02, which is a stable β‐HMX@PDA at room temperature. Through the test, the friction sensitivity and impact sensitivity of HMX@PDA were 36 % and 56 %, which were 52 % and 28 % lower than that of raw HMX, respectively. Meanwhile, the energy of HMX@PDA was not significantly decreased. Thermal analysis showed that PDA inhibited the β→δ crystallization process of HMX at high temperature but did not affect the thermal decomposition process of HMX. This case of preparing HMX@PDA in one‐step with microfluidic technology provides a new idea for the desensitization of energetic materials in the future.
Which inflammatory marker might be the best indicator for sacroiliitis?
Authors: Kalfaoglu Melike Elif , Cosgun Zeliha 
Published: October 2023

AbstractThis study aimed to investigate the potential of inflammatory markers, including platelet‐to‐lymphocyte ratio (PLR), neutrophil‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), and C‐reactive protein‐to‐lymphocyte ratio (CLR), in identifying sacroiliitis. Present retrospective study was conducted at the Abant Izzet Baysal University Hospital, including patients diagnosed with sacroiliitis between August 2020 and March 2023. Control subjects with normal sacroiliac joints were also included. Sacroiliitis patients were further categorized into active and chronic sacroiliitis groups. Demographic data and laboratory characteristics, such as erythrocyte sedimentation rate (ESR), C‐reactive protein (CRP), and various blood parameters, were recorded. Inflammatory markers were calculated, including PLR, NLR, LMR, and CLR. Statistical analyses were performed to compare the study groups and evaluate the diagnostic performance of these markers. A total of 226 subjects, including 132 sacroiliitis patients and 94 control subjects, were included in the study. Serum CRP levels were significantly higher in sacroiliitis patients compared to the control group. NLR, PLR, and CLR values were elevated in sacroiliitis patients, while LMR was decreased. There were significant correlations between these markers and established inflammatory markers. Receiver operating characteristic (ROC) analysis demonstrated moderate diagnostic performance for NLR, PLR, LMR and CLR in detecting sacroiliitis. Inflammatory markers, specifically NLR, PLR, LMR and CLR, showed significant differences between sacroiliitis patients and the control group. In addition PLR is useful in distinguishing active and chronic sacroiliitis. These markers, in conjunction with established inflammatory markers, may serve as supportive diagnostic tools for sacroiliitis.
Aspergillus oryzae α‐l‐rhamnosidase: Crystal structure and insight into the substrate specificity
Authors: Makabe Koki , Ishida Naoki , Kanezaki Nanako , Shiono Yoshihito , Koseki Takuya 
Published: October 2023

AbstractThe subsequent biochemical and structural investigations of the purified recombinant α‐l‐rhamnosidase from Aspergillus oryzae expressed in Pichia pastoris, designated as rAoRhaA, were performed. The specific activity of the rAoRhaA wild‐type was higher toward hesperidin and narirutin, where the l‐rhamnose residue was α‐1,6‐linked to β‐d‐glucoside, than toward neohesperidin and naringin with an α‐1,2‐linkage to β‐d‐glucoside. However, no activity was detected toward quercitrin, myricitrin, and epimedin C. rAoRhaA kinetic analysis indicated that Km values for neohesperidin, naringin, and rutin were lower compared to those for hesperidin and narirutin. kcat values for hesperidin and narirutin were higher than those for neohesperidin, naringin, and rutin. High catalytic efficiency (kcat/Km) toward hesperidin and narirutin was a result of a considerably high kcat value, while Km values for hesperidin and narirutin were higher than those for naringin, neohesperidin, and rutin. The crystal structure of rAoRhaA revealed that the catalytic domain was represented by an (α/α)6‐barrel with the active site located in a deep cleft and two β‐sheet domains were also present in the N‐ and C‐terminal sites of the catalytic domain. Additionally, five asparagine‐attached N‐acetylglucosamine molecules were observed. The catalytic residues of AoRhaA were suggested to be Asp254 and Glu524, and their catalytic roles were confirmed by mutational studies of D254N and E524Q variants, which lost their activity completely. Notably, three aspartic acids (Asp117, Asp249, and Asp261) located at the catalytic pocket were replaced with asparagine. D117N variant showed reduced activity. D249N and D261N variants activities drastically decreased.
AmulticompartmentpopulationPKmodel to predict tenofovir and emtricitabine mucosal tissue concentrations forHIVprevention
Authors: Leung Erick , Cottrell Mackenzie L. , Sykes Craig , White Nicole , Kashuba Angela D. M. , Dumond Julie B. 
Published: October 2023

AbstractA priori use of mathematical modeling and simulation to predict outcomes from incomplete adherence or reduced frequency dosing strategies may mitigate the risk of clinical trial failure with HIV pre‐exposure prophylaxis regimens. We developed a semi‐physiologic population pharmacokinetic model for two antiretrovirals and their active intracellular metabolites in three mucosal tissues using pharmacokinetic data from a phase I, dose‐ranging study. Healthy female volunteers were given a single oral dose of tenofovir disoproxil fumarate (150, 300, or 600 mg) or emtricitabine (100, 200, or 400 mg). Simultaneous co‐modeling of all data was performed on a Linux cluster. A 16 compartment, bolus input, linear kinetic model best described the data, containing 986 observations in 23 individuals across three matrices and four analytes. Combined with a defined efficacious concentration target in mucosal tissues, this model can be used to optimize the dose and dosing frequency through Monte‐Carlo simulations.
The effect of cinnamon supplementation on glycemic control in patients with type 2 diabetes mellitus: An updated systematic review and dose‐response meta‐analysis of randomized controlled trials
Authors: Moridpour Amir Hossein , Kavyani Zeynab , Khosravi Somaye , Farmani Elahe , Daneshvar Maziar , Musazadeh Vali , Faghfouri Amir Hossein 
Published: October 2023

AbstractAlthough many randomized controlled trials (RCTs) have revealed the benefits of cinnamon on type 2 diabetes mellitus (T2DM), the effects of cinnamon supplementation on glycemic control in patients with T2DM are inconclusive. Therefore, the aim of this meta‐analysis of RCTs was to assess the effects of cinnamon supplementation in managing glycemic control in patients with T2DM. Scientific international databases including Scopus, Web of Sciences, PubMed, Embase, and the Cochrane Library were searched till December 2022. For net changes in glycemic control, standard mean differences (SMDs) were calculated using random‐effects models. Findings from 24 RCTs revealed that cinnamon supplementation had a statistically significant reduction in fasting blood sugar (SMD: −1.32; 95% CI: −1.77, −0.87, p < 0.001), Homeostatic Model Assessment for Insulin Resistance (SMD: ‐1.32; 95% CI: −1.77, −0.87, p < 0.001), and hemoglobin A1C (SMD: −0.67; 95% CI: −1.18, −0.15, p = 0.011) compared with the control group in patients with T2DM. Additionally, cinnamon did not change the serum levels of insulin (SMD: −0.17; 95% CI: −0.34, 0.01, p = 0.058) significantly. Our analysis indicated that glycemic control indicators are significantly decreased by cinnamon supplementation. Together, these findings support the notion that cinnamon supplementation might have clinical potential as an adjunct therapy for managing T2DM.
Event‐triggered distributed H∞$$ {H}_{\infty } $$ secure control for nonholonomic agents with dead‐zone inputs under attacks on sensors and actuators
Authors: Tan Luy Nguyen 
Published: October 2023

SummaryDistributed optimal control has been extensively investigated for nonholonomic mechanical agents (NMA). However, the existing methods have not yet taken into account vulnerabilities caused by malicious attacks on sensors and dead‐zone actuator links. The aim of this paper is therefore to propose a novel control scheme that not only achieves bounded ‐gain consensus performance and rejects dead‐zone disturbance but also mitigates the burden of communication resources and the effects of sensor and actuator attacks. Firstly, to estimate unmeasurable states and the unknown model of the attacks, event‐triggered (ET) observers are designed. Secondly, ET‐augmented control is proposed to transform Euler‐Lagrange dynamics into consensus tracking dynamics, from which the ET‐robust optimal control problem is formulated. Thirdly, the ET‐distributed secure control strategies are approximated synchronously via adaptive dynamic programming (ADP) and multi‐player differential game theory. Finally, a numerical example illustrates, on a networked multi‐robot system, the effectiveness of the proposed method.
Development of a user‐friendly automatic ground‐based imaging platform for precise estimation of plant phenotypes in field crops
Authors: Gatkal Narayan , Dhar Tushar , Prasad Athira , Prajwal Ranganath , Santosh  , Jyoti Bikram , Roul Ajay Kumar , Potdar Rahul , Mahore Aman , Parmar Bhupendra Singh , Vimalsinh Vala 
Published: October 2023

AbstractPlant phenotyping is the science to quantify the quality, photosynthesis, development, growth, and biomass productivity of different crop plants. In the past, plant phenotyping employed methods such as grid count and regression models. However, the grid count method proved to be labor‐intensive and time‐consuming, while the regression model lacked accuracy in calculating leaf area. To address these challenges, a portable automatic platform was developed for precise ground‐based imaging of field plots. This platform consisted of a frame, an RGB camera, a stepper motor, a control board, and a battery. The RGB camera captured images, which were then processed using MATLAB software. Statistical analysis was performed to compare the results obtained from the grid count, regression model, and image processing techniques. The correlation coefficient (r) between the image processing technique and the regression model for sunflower was found to be 0.98 and 0.97, respectively, whereas for kidney bean it was 0.99 and 0.96, respectively. The minimum and maximum values for leaf area density (LAD) of all selected sunflower leaves were determined to be 0.132 and 0.714 m²/m³, respectively. For kidney bean leaves, the minimum and maximum mean LAD values were found to be 0.081 and 0.239 m²/m³, respectively. Ergonomic aspects of the developed automatic system were studied. The developed system had lower physiological parameters, such as working heart rate of 99 beats/min, work pulse of 18 beats/min, oxygen consumption of 786 mL/min, and energy consumption of 11.5 kJ/min compared to the grid count method. Thus, developed automatic ground‐based imaging system would significantly reduce physiological workload and associated hazards. Therefore, the developed method proved satisfactory in comparison to other techniques, offering a quick, efficient, and user‐friendly approach for determining plant phenotypes.
On the process of fine sediment infiltration into static gravel bed: A CFD–DEM modelling perspective
Authors: Jaiswal Atul , Bui Minh Duc , Rutschmann Peter 
Published: October 2023

AbstractThe gravel bed clogging, caused by infiltration and accumulation of fine sediment, degrades the river ecology. A proper understanding of the infiltration process, and underlying mechanism and causes, are necessary to take preventive measures. The process of fine sediment infiltration into static gravel bed is studied by distinguishing between bridging and percolation behaviours, as they affect the river ecology and physical processes occurring in the river system differently. However, several contradicting observations, concerning their occurrences, are reported. We employed the unresolved CFD–DEM method to simulate and investigate the infiltration process. The theoretical size ratios, corresponding to different geometrical configurations for a binary mixture of mono‐disperse spherical particles, representing bridging and percolation processes, are considered and simulated with and without flowing water effects. The effects of several turbulence models on the infiltration process are also studied. We found that fine sediment infiltration in fluvial deposits is mainly gravity‐dominated, supporting Cui's hypothesis that fine sediment infiltration through intra‐gravel flow is similar to fine sediment infiltration driven by gravity. In contrast to consensus in the field, our results demonstrate that the occurrences of different infiltration processes (bridging and percolation) seem to be independent of gravel bed thickness, rather depend only on the relative grain size distribution of fine sediment and gravel. However, a precise definition of a ‘thick enough’ gravel bed is necessary to distinguish between bridging and percolation behaviours. Here, we hypothesize a suitable gravel bed thickness, which might be regarded as a ‘thick enough’ gravel bed.
Recent Progress, Challenges, and Future Prospects in Solar H2 Evolution via Pure/Sea Water Splitting Using Nanocomposites as Photocatalysts under Solar Light
Authors: Jakhar Prakash , Sharma Shaily , Dhadda Surbhi , Sharma Himanshu 
Published: October 2023

AbstractPhotocatalytic pure/sea water splitting driven by solar light, emerges as the most promising strategy to address both the global energy crisis and environmental degradation. Research efforts have mainly resulted in the development of artificial photocatalytic solar hydrogen generation systems applicable to both freshwater and sea water. During long‐term testing, sea water demonstrated enhanced stability compared to pure water, offering experimental advantages in designing novel techniques aimed at reducing hydrogen generation costs, alleviating freshwater scarcity, and optimizing the utilization of natural water resources. Moreover, sea water splitting proves to be more effective in producing solar hydrogen due to the potential sacrificial action of salt ions, which promote hydrogen evolution within the photocatalytic system. This review comprehensively outlines the fundamental principles of photocatalytic H2 production, examines the efficiencies and recent progress in hydrogen generation, explores the challenges faced, and envisions the future prospects of enhancing hydrogen production efficiency and reactivity through photocatalytic pure/sea water splitting.
Simultaneous Quantification of Major Bio‐Active Diterpenoid Lactones and Flavonoids in Andrographis paniculata (Burm. F.) Nees: LC‐ESI‐MS/MS Method Validation and Uncertainty Determination
Authors: Gajbhiye Narendra , Makasana Jayanti , Geetha K. A. , Saha Ajoy , Raju Saravanan 
Published: October 2023

AbstractDiterpenoid lactones and flavonoids are major bio‐active compounds of therapeutically important medicinal herb Andrographis paniculata (Burm.F.) Nees. The lack of a validated protocol for quality assurance of raw herbs is a significant issue for its wider use. A validated LC‐ESI‐MS/MS method developed using MRM mode for simultaneous determination of five diterpenoid lactones (andrographolide, neoandrographolide, andrograpanin, 14‐deoxy‐11,12‐didehydroandrographolide and andrographiside) along with two flavonoids (7‐O‐methylwogonin and apigenin). Chromatographic separation of seven analytes was achieved within 14 minutes in Alltima column (100×4.6 mm, 3 μm) using gradient elution. The developed method was accurate (97.77 to 101.17 %; recovery), precise (intra‐day and inter‐day %RSD of 0.22–2.19 and 1.01–3.68, respectively) and linear (R2 >0.99). To meet the regulatory obligation, uncertainty associated with the measurement was also evaluated by using different validation parameters. Developed method was successfully employed in analysing the analytes quality in different solvent extracts. Total diterpenoid lactones and flavonoids (DTLF) content was recorded highest in methanol extract (45.47 μg g−1) followed by ethanol (39.23 μg g−1) and lowermost content found in petroleum ether extract (0.38 μg g−1) in triplicate samples. Since the method is simple, rapid, sensitive, and accurate, it has potential role for quality evaluation of A. paniculata and its derived formulation.
N‐(4‐Chloromethylbenzyl)‐N, N‐dimethyldodecan‐1‐aminium Chloride: A Quaternary Ammonium Surfactant as Corrosion Inhibitor
Authors: Yaagoob Ibrahim Y. , Goni Lipiar K. M. O. , Verma Chandrabhan , Mazumder Mohammad A. J. , Ali Shaikh A. 
Published: October 2023

AbstractThis study used a quaternary surfactant, N‐(4‐Chloromethylbenzyl)‐N, N‐dimethyldodecan‐1‐aminium chloride (CMBDAC), as an excellent corrosion inhibitor of C1018 carbon steel (C1018 CS) in harsh 15 % HCl acidizing condition. CMBDAC was synthesized with an excellent yield and characterized by NMR, FTIR, and TGA. Gravimetric weight loss (WL), electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization (PDP) studies were employed to measure the efficacy of CMBDAC. At a relatively low concentration of 15 ppm, CMBDAC surpassed 90 % inhibition efficiency, with a maximum inhibition efficiency of 99.25 % being reached just for 50 ppm of CMBDAC. The inhibitor showed an efficacy of 96.16 % even at a temperature of 60 °C via the WL technique, showing potential to be used as a high‐temperature corrosion inhibitor. The adsorption isotherm study revealed that CMBDAC followed Langmuir adsorption isotherm. The Gibbs free energy of adsorption (
was calculated to be −40.43 kJ mol−1, indicating that CMBDAC was adsorbed via chemisorption. A very high value (1.68×105 L mol−1) of equilibrium constant (
) suggested very strong adsorption of the inhibitor. PDP study disclosed that CMBDAC acted as a mixed‐type inhibitor. SEM‐EDX study demonstrated the adsorption of CMBDAC on the C1018 surface. Different DFT‐optimized parameters have been discussed in detail to support the superb inhibitory action indicated by CMBDAC.
The Effect of Different Morphologies of Polyaniline on Its Catalytic Activity for the Thermal Decomposition of Ammonium Perchlorate
Authors: Ebrahimi Sajjad , Hosseini Mohammad Reza Nayeb , Mehrafarin Ali , Norouzi Mahdi 
Published: October 2023

AbstractIn this study, a novel strong green catalyst as a promising replacement for conventional transition metal oxides (TMOs) based burning rate modifiers was introduced. For this aim, the morphology of the nano‐porous polyaniline (NP‐PANi) was manipulated by changing its synthesis method, and the effect of that on the activity of the catalyst on the thermal decomposition of ammonium perchlorate (AP) was investigated. To achieve this goal, NP‐PANi was synthesized by three different methods comprising: chemical, sonochemical, and electrochemical routes. The synthesized polymers were deeply characterized using FTIR, N2 adsorption‐desorption, FESEM, and EDAX analysis. From BET results, electro‐PANi has the highest surface area, highest pore volume, and the smallest pore size among others and, as expected revealed the best catalytic activity. It merged two peaks of AP decomposition into a drastically solo sharp peak revealed at low temperature (approximately 90 °C lower than) and increased the enthalpy of the reaction significantly by about 140 %. The obtained results can open a new window in the world of practical green burning rate modifiers for the energetic material industry.
Adsorptive Recovery of Heavy Metal Ions from Aquatic Systems Using Metal‐Organic Frameworks: A Perspective in the Sustainable Development of Nanomaterials
Authors: Selvam Abhyavartin , Parmar Prathu Raja , Bandyopadhyay Dipankar , Chakrabarti Sandip 
Published: October 2023

AbstractRapid industrialization in the developing countries has facilitated the unwanted mixing of wastes into the already depleting sources of potable, domestic and industrial water. In particular, the mixing of toxic heavy metal wastes into the aquatic resources have not only increased the scarcity of water at the different levels of usage but also hygiene of the ecosystem is further threatened by the presence of abysmal quality of aquatic environment around the living world. Thus, it has become quite imperative to mitigate such problems through the removal of such water contaminants at the sources before supplied for a specific purpose. In this direction, among the other available mass transfer techniques, specific and efficient adsorption of heavy metal species on the nanomaterials such as metal‐organic frameworks (MOFs) are found to be a promising method of heavy metal ions recovery. This reports targets to provide a new perspective into heavy metal ions removal from wastewater as a rationale for sustainable nanomaterial engineering through the recycling of toxic metal species as precious precursors in the synthesis of nanomaterials. Decades of exploring materials sciences led to the generation of groundbreaking materials of nanoscale regime, which has advanced myriad avenues of science and technology, viz. electronic, energy, biomedical, environmental, agriculture applications, and more. In this regard, nanotechnology has had a global impact by several folds, which can be observed in all day‐to‐day facilities. This perspective aims to conceptualize a strategy of wastewater decontamination through the adsorptive retrieval of heavy metal species to be subsequently recycled in the design of smart nanomaterials.
Kinetics of Electrocatalytic Oxidation of Gallic Acid by Activated Glassy Carbon Electrode in Acidic Medium
Authors: Siddika Munira , Ahmed Jahir , Aoki Kentaro , Faisal M. , Algethami Jari S. , Harraz Farid A. , Nagao Yuki , Hasnat Mohammad A. 
Published: October 2023

AbstractAn electrochemically functionalized glassy carbon (GC) electrode was prepared to study Gallic acid (GA) oxidation reaction in an acidic medium. The functionalized GC electrode was found to enhanced GA oxidation reaction in acidic medium by lowering oxidation potential and increasing corresponding current in comparison to a pristine GC. Electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and x‐ray photoelectron spectroscopy (XPS) methods were used to analyze functionalized GC surface. The development of electropositive C=O functional groups were assumed to enhance the catalytic process. The specific capacitance of the electrode was calculated to be 92.91 μF by analysing EIS. Kinetics of GA oxidation over activated GC was calculated from CVs data. By analysing concentration dependent CVs it was found that the electrode process followed mass transfer limited first order kinetics. The GA oxidation mechanism is potential‐dependent. For potentials above 0.42 V, the oxidation reaction involves the transfer of 2e− and 2H+ via a concerted mechanism, while at potentials below 0.42 V, the mechanism is stepwise. The reaction‘s standard rate constant (k°) was evaluated as 2.08×10−4 cm s−1.