bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal changes in lung function in very prematurely born young people receiving high‐frequency oscillation or conventional ventilation from birth
Authors: Bisquera Alessandra , Harris Christopher , Lunt Alan , Zivanovic Sanja , Marlow Neil , Calvert Sandy , Greenough Anne , Peacock Janet L. 
Published: April 2022

AbstractObjectiveTo examine changes in lung function over time in extremely prematurely born adolescents.Working HypothesisChanges in lung function during adolescence would vary by ventilation mode immediately after birth.Study DesignLongitudinal follow‐up study.Patient Subject SelectionParticipants from the United Kingdom Oscillation Study who were randomized at birth to high‐frequency oscillation (HFO) or conventional ventilation (CV) were assessed at 11–14 years (n = 319) and at 16–19 years (n = 159).MethodologyForced expiratory flow (FEF), forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and lung volumes including functional residual capacity (FRC) were reported as z‐scores. The diffusion capacity of the lungs for carbon monoxide (DLCO) was measured. Lung function trajectories were compared by mode of ventilation using mixed models. Changes in z‐scores were scaled to 5‐year average follow‐up.ResultsThere were significant changes in the mean FEF75, FEF50, FEF25, FEV1, FVC, and DLCO z‐scores within the CV and HFO cohorts, but no significant differences in the changes between the two groups. The mean FRC z‐score increased in both groups, with an average change of greater than one z‐score. The mean FEV1/FVC z‐score increased significantly in the CV group, but not in the HFO group (difference in slopes: p = 0.02). Across the population, deterioration in lung function was associated with male sex, white ethnicity, lower gestational age at birth, postnatal corticosteroids, oxygen dependency at 36 weeks postmenstrual age, and lower birth weight, but not ventilation mode.ConclusionsThere was little evidence that the mode of ventilation affected changes in lung function over time.
Behavioural regulator and molecular reception of a double‐edge‐sword hunter beetle
Authors: Chen Zeng‐Liang , Huang Cong , Li Xi‐Sheng , Li Guo‐Cheng , Yu Ting‐Hong , Fu Guan‐Jun , Zhang Xue , Song Ce , Bai Peng‐Hua , Cao Li , Qian Wan‐Qiang , Wan Fang‐Hao , Han Ri‐Chou , Tang Rui 
Published: April 2022

AbstractBACKGROUNDThe black carabid beetle Calosoma maximoviczi is a successful predator that serves as both a beneficial insect and a severe threat to economic herbivores. Its hunting technique relies heavily on olfaction, but the underlying mechanism has not been studied. Here, we report the electrophysiological, ecological and molecular traits of bioactive components identified from a comprehensive panel of natural odorants in the beetle–prey–plant system. The aim of this work was to investigate olfactory perceptions and their influence on the behaviours of C. maximoviczi.RESULTSAmong the 200 identified volatiles, 18 were concentrated in beetle and prey samples, and 14 were concentrated in plants. Insect feeding damage to plants led to a shift in the emission fingerprint. Twelve volatiles were selected using successive electrophysiological tests. Field trials showed that significant sex differences existed when trapping with a single chemical or chemical mixture. Expression profiles indicated that sex‐biased catches were related to the expression of 15 annotated CmaxOBPs and 40 CmaxORs across 12 chemosensory organs. In silico evaluations were conducted with 16 CmaxORs using modelling and docking. Better recognition was predicted for the pairs CmaxOR5–(Z)‐3‐hexenyl acetate, CmaxOR6–β‐caryophyllene, CmaxOR18–(E)‐β‐ocimene and CmaxOR18–tetradecane, with higher binding affinity and a suitable binding pocket. Lastly, 168Y in CmaxOR6 and 142Y in CmaxOR18 were predicted as key amino acid residues for binding β‐caryophyllene and tetradecane, respectively.CONCLUSIONThis work provides an example pipeline for de novo investigation in C. maximoviczi baits and the underlying olfactory perceptions. The results will benefit the future development of trapping‐based integrated pest management strategies and the deorphanization of odorant receptors in ground beetles. © 2022 Society of Chemical Industry.
Risk analysis of construction accidents with a weighted network model considering accident level
Authors: Chen Fangyu , Lei Siyao , Wei Yongchang 
Published: April 2022

AbstractConstruction is considered to be one of the most dangerous industries due to its wide variety of accidents and high risk. Although people have been using various means to improve safety levels, the frequent occurrence of accidents still plagues the development of this industry. Accurately grasping the characteristics and analyzing the complex relationships between the risks of different accident types are the keys to a comprehensive understanding and promotion of construction safety. Simultaneously, we need to note that the level and frequency of accidents affects the risk characteristics, but previous studies have not paid sufficient attention to these features. Using complex network theory, based on the risk factors and risk triggering relationship extracted from construction accidents and considering the accident level and the frequency of occurrences as their weights, several weighted risk networks are generated according to different accident types. Then, several network analysis metrics are introduced to reveal the characteristics of the risk network and identify the key risk factors. The analytical framework helps to pose targeted suggestions to reduce the occurrence of frequent major accidents.
Double difference method with zero and short base length carrier phase measurements for Navigation with Indian Constellation satellites L5 (1176.45 MHz) signal quality analysis
Authors: KCT Swamy , Devanaboyina Venkata Ratnam , Shaik Towseef Ahmed 
Published: April 2022

SummaryThe carrier phase (CP) measurements should be unambiguous to achieve the enhanced accuracy of Global Navigation Satellite System (GNSS) services. However, all the real‐time CP measurements are manipulated by different errors, namely, satellite and receiver clock error, ionosphere delay, troposphere delay, integer ambiguity, etc. Even after removing or minimizing all these errors, the CP measurements are influenced by multipath error and receiver hardware residual or bias. In this research article, a double difference (DD) method is proposed to estimate residual or bias in CP observations of Navigation with Indian Constellation (NavIC). The proposed method abolishes all the common errors and provides bias. However, the CP measurement with a bit of bias value can be considered a high‐quality signal. Here, we investigate the quality of NavIC satellites L5 (1176.45 MHz) signal with real‐time measurements obtained through zero base length (ZBL) and short base length (SBL) experiments conducted at Kurnool (15.79°N, 78.07°E), India. The results show that the CP measurement bias of the L5 signal is within the range ±0.338 and ±1.688 m, respectively, for stationary and moving receivers. The bias was enhanced to 3.71 m for the SBL measurements. The results also demonstrate that the bias is low when carrier to noise (C/No) is high, and its range is nearly the same for all the days. This research would be helpful to estimate the bias that improves accuracy of precise point positioning (PPP) applications.
Discovery of Multi‐Targets Neuraminidase Inhibitor Lead Compound Against Influenza H1N1 Virus A/WSN/33 Based on QSAR, Docking, Dynamics Simulation and Network Pharmacology
Authors: Sun Jiaying , Liu Yaru , Yi Bingxiang , Shu Mao , Zhang Zhiping , Lin Zhihua 
Published: April 2022

AbstractIn this paper, three compounds are discovered as lead compounds of multi‐targets neuraminidase inhibitor drugs against influenza H1N1 virus A/WSN/33 using QSAR, molecular docking, dynamics simulation and network pharmacology. Moreover, NEU1, PLA2G1B and STAT1 are especially related to therapeutic targets of influenza virus. Therefore, the present study can be helpful in the process of the rational drug design of anti‐influenza virus drugs and improve reliability of findings novel multi‐target drugs which may avoid drug‐resistance.
Evaluation of the Adsorptive Potential of Zeolite Volcanic Tuff in Single and Binary Aqueous Solutions of the Basic Blue 41 Cationic Dye
Authors: Ignat Maurusa‐Elena , Dulman Viorica , Ignat Leonard , Ignat Maria , Humelnicu Ionel 
Published: April 2022

AbstractA volcanic tuff of clinoptilolite type has been assessed in regards to its efficiency on Basic Blue 41 (BB‐41) cationic dye removal from aqueous solutions. Optimal working conditions were established by considering influences of the particle sizes, initial pH, dye concentration, contact time, and temperature. Tuff samples have been characterized by using SEM/EDX, FT‐IR, and N2gas adsorption‐desorption techniques. Experimental data at equilibrium showed a better fitting of adsorption kinetics on pseudo‐second‐order and Langmuir models, whereas the thermodynamic parameters indicate an endothermic spontaneous process. Tuff particles of 47 μm medium sizes, which own the highest zeolite content, were found to be the most suitable for practical use as adsorbents, attaining a maximum adsorptive capacity of 123.5 mg g−1pure dye at 323 K, equivalent to 303 mg g−1commercial product containing 40 % dye. A potential interference involving the retention pattern was furthermore evaluated within binary systems with other two cationic dyes, Rhodamine B (RhB) and Methylene Blue (MB). The adsorbent shows a relevant selectivity towards BB‐41, influenced by commercial dye additives, structural configuration, molecular size, and contact time, with the 99.7 % dye removal efficiency at 24 hours only slightly depressed in binary systems with RhB ‐ 97.4 %, respective MB ‐ 90.2 %. This study confirmed the tuff particles as efficient adsorbents for the treatment of textile wastewater effluents.
Development of an Electrodeposited Graphene Quantum Dot Electrode for the Electrochemical Detection of C‐Reactive Protein (CRP) Biomarker
Authors: Lakshmanakumar Muthaiyan , Nesakumar Noel , Sethuraman Swaminathan , Rajan K. S. , Krishnan Uma Maheswari , Rayappan John Bosco Balaguru 
Published: April 2022

AbstractC‐reactive protein (CRP) is a potential cardiac biomarker whose levels fluctuate in response to cardiac diseases. In particular, the severity of cardiovascular disease can be associated with the level of CRP, emphasizing the necessity for a highly sensitive biosensor capable of detecting CRP at ultralow levels in a short period of time. In this study, we used a facile pyrolysis method to synthesize graphene quantum dots (GQDs) with a diameter of 2.2 nm. Then, to fabricate the Au/GQDs/anti‐CRP electrode, GQDs were electrodeposited successfully on the surface of the bare Au electrode to provide a nano‐interfaced matrix platform for effective anti‐CRP immobilization. Cyclic voltammetry was used to investigate the contact between anti‐CRP and CRP in the Fe(CN)63−/4− as a mediator. The recorded current signal from differential pulse voltammetry measurements shows that the associative interaction between the anti‐CRP and CRP is efficiently induced. Furthermore, the Figureure of merits of the developed sensor, including the sensory response of <50 s with a high sensitivity of 58 μA ng−1 mL−1 cm−2 and a low detection capability of 0.104 ng mL−1 (n=3), suggests that it is a potential candidate for point‐of‐care testing. And the fabricated Au/GQDs/anti‐CRP biosensor were used to sense CRP in an artificial serum (ringer lactate) solution.
A Review on the Conversion of Synthetic Gas to LPG over Hybrid Nanostructure Zeolites Catalysts
Authors: Al‐Qadri Ali. A. , Nasser Galal A. , Galadima Ahmad , Muraza Oki 
Published: April 2022

AbstractRecently, Liquified petroleum gas (LPG) attracts wide applications due to its high heating value and clean combustibility. An innovative approach to synthesis of LPG from syngas was established based on Fisher‐Tropsch (F‐T) technology. However, the conversion and selectivity are generally low with the classical catalysts. The hybrid system of methanol and zeolite‐based catalyst was established as a potential approach to promote such a process. To strongly overcome the large demand of LPG and grasp the research work in this subject, a comprehensive review became necessary. LPG is basically produced from syngas through the direct method, where most recent studies lay on, and the indirect or semi direct approach. There were several factors affecting the process performance, which mainly are the reaction temperature, reaction pressure, type of the hybrid catalyst, carbon monoxide to hydrogen ratio, mixture flow rate, and time‐on‐stream of the reaction. The most common reaction conditions reported in the literature are 260–400 °C, 10–50 bars and H2 to CO ratio of 2. However, the most important parameter considered was the catalyst, which is a key factor of interest. The two main issues controlling the catalyst performance were the synergetic effect between the two hybridized catalysts and the used type of zeolite. It was perceived that the higher the zeolite membered rings the better the LPG selectivity (i. e., BEA, and USY provided the higher LPG production rate).
Chitosan‐ZnO: An Efficient and Recyclable Polymer Incorporated Hybrid Nanocatalyst to Synthesize Tetrahydrobenzo[b]pyrans and Pyrano[2,3‐d]pyrimidinones under Microwave Expedition
Authors: Nesaragi Aravind R. , Gasti Tilak , Metre Tukaram V. , Anand Ashish , Kamble Ravindra R. , Chougale Ravindra B. , Keri Rangappa S. 
Published: April 2022

AbstractThe innovation of facile, efficient and mild procedures utilizing contemptible, conveniently separable and reusablesolid catalysts that overcome obstacles are invariably in demand. Hence, a straightforward one‐pot multicomponent reaction (MCR) and an expedient procedure for the synthesis of pyran annulated heterocycles 5 a–k and 6 l–v is developed using Chitosan‐Zinc oxide (CS‐ZnO) hybrid nanocatalyst. Use of aqueous medium is one of the major highlight of the present protocol. This protocol renders ease of operation, facile work up and magnified yields (90–95 %) as well as explores the use of modified polymeric substrates in the organic synthesis.
Atomic Engineering Catalyzed Redox Kinetics of NixCo1‐x(OH)2 on Nanoporous Phosphide Electrode for Efficient Ni‐Zn Batteries
Authors: Tian Jiaxin , Peng Ming , Luo Min , Lan Jiao , Zhang Yanlong , Tan Yongwen 
Published: April 2022

AbstractAqueous nickel‐zinc (Ni–Zn) batteries with excellent safety and environmental benignity are promising candidates for sustainable energy storage. However, the inferior conductivity and inevitable phase transition of trditional Ni‐based cathodes limit the redox kinetics and lead to restricted electrode specific capacity and device energy density. Here, a NixCo1‐x(OH)2 electrode doped with Pd, Ag, and Au atoms is constructed for catalyzing the redox kinetics on the conductive nanoporous phosphide. Density functional theory calculations and experimental results reveal that the introduction of the Ag atomic dopants can effectively modulate the electron structure and optimize the OH− adsorption energy, thereby accelerating the catalyzed redox kinetics of NixCo1‐x(OH)2 by the facilitated charge transfer at the active sites around metal dopants. Consequently, the assembled Ni–Zn battery delivers an ultrahigh power density of 7.85 W cm−3 and energy density of 49.53 mW h cm−3, with a long‐term cycling stability. The cooperation of atomic catalysis and redox kinetics will inspire more exploration of efficient energy materials and devices.
Mechanisms of Interface Cleaning in Heterostructures Made from Polymer‐Contaminated Graphene
Authors: Huang Zhujun , Cuniberto Edoardo , Park Suji , Kisslinger Kim , Wu Qin , Taniguchi Takashi , Watanabe Kenji , Yager Kevin G. , Shahrjerdi Davood 
Published: April 2022

AbstractHeterostructures obtained from layered assembly of 2D materials such as graphene and hexagonal boron nitride have potential in the development of new electronic devices. Whereas various materials techniques can now produce macroscopic scale graphene, the construction of similar size heterostructures with atomically clean interfaces is still unrealized. A primary barrier has been the inability to remove polymeric residues from the interfaces that arise between layers when fabricating heterostructures. Here, the interface cleaning problem of polymer‐contaminated heterostructures is experimentally studied from an energy viewpoint. With this approach, it is established that the interface cleaning mechanism involves a combination of thermally activated polymer residue mobilization and their mechanical actuation. This framework allows a systematic approach for fabricating record large‐area clean heterostructures from polymer‐contaminated graphene. These heterostructures provide state‐of‐the‐art electronic performance. This study opens new strategies for the scalable production of layered materials heterostructures.
Smart MOF‐on‐MOF Hydrogel as a Simple Rod‐shaped Core for Visual Detection and Effective Removal of Pesticides
Authors: Jia Wenwen , Fan Ruiqing , Zhang Jian , Zhu Ke , Gai Shuang , Yin Yuanyuan , Yang Yulin 
Published: April 2022

AbstractThe immoderate use of pesticides in the modern agricultural industry has led to the pollution of water resources and ultimately threatens the human body. Herein, two metal–organic frameworks (MOFs), namely {[Zn(tpt)2·2H2O]}n (Zn1) and {[Zn2(tpt)2(bdc)]}n (Zn2), (Htpt = 5‐[4(1H‐1,2,4‐triazol‐1‐yl)]phenyl‐2H‐tetrazole), respectively, are constructed as smart materials for visual and on‐site detection of pesticides and their removal from water. The exposed nitrogen‐rich sites and high chemical stability make Zn2 a self‐assembly core to further fabricate MOF‐on‐MOF‐sodium alginate (ZIF‐8‐on‐Zn2@SA) composite by wrapping ZIF‐8 on the outside surface. Inheriting the excellent fluorescent emission of Zn2, the rod‐like ZIF‐8‐on‐Zn2@SA module exhibits naked‐eye detection of thiophanate‐methyl (TM) in real fruits and vegetables with a broad linear range (10–100 × 10−6 m), a low limit of detection (LOD = 0.14 × 10−6 m), and satisfactory recoveries (98.30–102.70%). In addition, carbendazim (CBZ), the metabolite of TM after usage in crops, can be efficiently removed from water by the ZIF‐8‐on‐Zn2@SA (qmax = 161.8 mg g−1) with a high correlation coefficient (R2 > 0.99). Therefore, the portable ZIF‐8‐on‐Zn2@SA sensing platform presents a promising candidate for monitoring and removal of pesticides, especially suitable for regions with serious pesticide environmental pollution.
Glaucoma Characterization by Machine Learning of Tear Metabolic Fingerprinting
Authors: Wu Jiao , Xu Mengqiao , Liu Wanshan , Huang Yida , Wang Ruimin , Chen Wei , Feng Lei , Liu Ning , Sun Xiaodong , Zhou Minwen , Qian Kun 
Published: April 2022

AbstractGlaucoma is a common optic neuropathy disease affecting over 76 million people. Both timely diagnosis and progression monitoring are critical but challenging. Conventional characterization of glaucoma needs a combination of methods, calling for tedious procedures and experienced doctors. Herein, a platform through machine learning of tear metabolic fingerprinting (TMF) using nanoparticle enhanced laser desorption–ionization mass spectrometry is built. Direct TMF is obtained noninvasively, with fast speed and high reproducibility, using trace tear samples (down to 10 nL). Consequently, glaucoma patients are screened against healthy controls with the area under the curve (AUC) of 0.866, through machine learning of TMF. Further, primary open‐angle glaucoma (POAG) is differentiated from primary angle‐closure glaucoma (PACG) and an early‐stage POAG is identified. Finally, a biomarker panel of six metabolites for glaucoma characterization (including screening, subtyping, and early diagnosis) with AUC of 0.827–0.891 is constructed, showing related metabolic pathways. The work will provide insights into eye diseases not limited to glaucoma.
On‐line reduction of insulin disulfide bonds with photoinduced radical reactions, upstream to nano liquid chromatography‐mass spectrometry
Authors: Olsen Christine , Wiborg Elisa , Lundanes Elsa , Abadpour Shadab , Scholz Hanne , Wilson Steven Ray 
Published: April 2022

AbstractA current focus of our research is dedicated to investigating tools that can be used to couple pancreas‐on‐a‐chip systems on‐line with mass spectrometry. To enable on‐line‐cleavage of insulin´s disulfide bonds, we coupled an inter‐chain cleavage reactor with a nano liquid chromatography‐mass spectrometry system. The reactor featured a high intensity 254 nm photochemical mercury quartz lamp radiating upon an ultraviolet transparent tubing where acetone and isopropanol form hydroxyalkyl radicals which cleave insulin disulfide bridges. The cleavage allowed for robust fragmentation mass spectra of insulin using nanospray/Q‐Exactive mass spectrometry. A nano liquid chromatography separation column was placed downstream to the reactor. We found that for the nano liquid chromatography format, a silica monolith provided substantially less carry‐over and improved chromatographic performance to the investigated particle‐packed columns. The photochemical reactor/silica monolithic nano liquid chromatography/nanospray/Q‐Exactive mass spectrometry was compatible with cell culture medium, and will be further investigated for on‐line coupling with pancreas‐on‐a‐chip systems.
Gender differences in high school students' STEM career expectations: An analysis based on multi‐group structural equation model
Authors: Lv Beibei , Wang Jingying , Zheng Yonghe , Peng Xinhe , Ping Xiaomei 
Published: April 2022

AbstractGender gaps in STEM fields have been studied for a long time, and the primary focus has been on the relationship among social support (parents and teachers), STEM beliefs (STEM interest belief, self‐efficacy belief, and value belief), and STEM career expectations. Framed in Expectancy‐Value Models, this article aimed to explore how social support affects students' STEM career expectations directly and indirectly through STEM beliefs. Further, a gender study was conducted to examine the differences in structural relations between male and female student groups using multiple‐group structural equation modeling. A total of 798 10th grade students were surveyed in mainland China. The results showed that (1) male students performed better than female students in STEM career expectations, STEM value beliefs, STEM self‐efficacy beliefs, as well as parents' and teachers' support; (2) female students' STEM career expectations could be predicted by parental support, STEM value beliefs, and STEM interest beliefs, while male students' STEM career expectations were positively influenced by parental support, STEM self‐efficacy, and STEM interest beliefs. Hence, there were apparent gender differences regarding STEM interest beliefs, STEM self‐efficacy and their relationship toward future career expectations. Specifically, STEM interest beliefs were positively correlated with STEM career expectations of female students, whereas STEM self‐efficacy could only significantly influence male students' STEM career expectations.