bluuebunny/crossref_metadata_2025_split huggingface dataset:
National integration of mental health screening and treatment into specialized care for cystic fibrosis: What predicts success?
Authors: Quittner Alexandra L. , Barker David , Graziano Sonia , Georgiopoulos Anna M. , Muther Emily , Verkleij Marieke , Schechter Michael S. , Tillman Laura , Mueller Amy , Lomas Paula , Hempstead Sarah , Smith Beth A. 
Published: April 2023

AbstractObjectivesThe CF Foundation sponsored competitive awards for Mental Health Coordinators (MHCs) from 2016 to 2018 to implement the international guidelines for mental health screening and treatment in US CF centers. Longitudinal surveys evaluated success in implementing these guidelines using the Consolidated Framework for Implementation Research (CFIR).MethodsMHCs completed annual surveys assessing implementation from preparation/basic implementation (e.g., using recommended screeners) to full implementation/sustainability (e.g., providing evidence‐based treatments). Points were assigned to questions through consensus, with higher scores assigned to more complex tasks. Linear regression and mixed effects models were used to: (1) examine differences in centers and MHC characteristics, (2) identify predictors of success, (3) model the longitudinal trajectory of implementation scores.ResultsA total of 122 MHCs (88.4% responded): Cohort 1,N = 80; Cohort 2,N = 30; and Cohort 3,N = 12. No differences in center characteristics were found. Significant improvements in implementation were observed across centers over time. Years of experience on a CF team was the only significant predictor of success; those with 1–5 years or longer reported the highest implementation scores. Change over time was predicted by >5 years of experience.ConclusionsImplementation of the mental health guidelines was highly successful over time. Funding for MHCs with dedicated time was critical. Longitudinal modeling indicated that CF centers with diverse characteristics could implement them, supported by evidence from the CF Patient Registry showing nearly universal uptake of mental health screening in the United States. Years of experience predicted better implementation, suggesting that education and training of MHCs and retention of experienced providers are critical to success.
Machine learning models to predict and benchmark PICU length of stay with application to children with critical bronchiolitis
Authors: Rogerson Colin M. , Heneghan Julia A. , Kohne Joseph G. , Goodman Denise M. , Slain Katherine N. , Cecil Cara A. , Kane Jason M. , Hall Matt 
Published: April 2023

AbstractObjectiveTo create models for prediction and benchmarking of pediatric intensive care unit (PICU) length of stay (LOS) for patients with critical bronchiolitis.HypothesisWe hypothesize that machine learning models applied to an administrative database will be able to accurately predict and benchmark the PICU LOS for critical bronchiolitis.DesignRetrospective cohort study.PatientsAll patients less than 24‐month‐old admitted to the PICU with a diagnosis of bronchiolitis in the Pediatric Health Information Systems (PHIS) Database from 2016 to 2019.MethodologyTwo random forest models were developed to predict the PICU LOS. Model 1 was developed for benchmarking using all data available in the PHIS database for the hospitalization. Model 2 was developed for prediction using only data available on hospital admission. Models were evaluated using R2 values, mean standard error (MSE), and the observed to expected ratio (O/E), which is the total observed LOS divided by the total predicted LOS from the model.ResultsThe models were trained on 13,838 patients admitted from 2016 to 2018 and validated on 5254 patients admitted in 2019. While Model 1 had superior R2 (0.51 vs. 0.10) and (MSE) (0.21 vs. 0.37) values compared to Model 2, the O/E ratios were similar (1.18 vs. 1.20). Institutional median O/E (LOS) ratio was 1.01 (IQR 0.90–1.09) with wide variability present between institutions.ConclusionsMachine learning models developed using an administrative database were able to predict and benchmark the length of PICU stay for patients with critical bronchiolitis.
Niche shifts and range expansions after invasions of two major pests: the Asian longhorned beetle and the citrus longhorned beetle
Authors: Zhou Yuting , Tao Jing , Yang Jinglin , Zong Shixiang , Ge Xuezhen 
Published: April 2023

AbstractBackgroundIn recent years, the quarantine forestry pests the Asian longhorned beetle (ALB) Anoplophora glabripennis and the citrus longhorned beetle (CLB) Anoplophora chinensis have spread across the Northern Hemisphere, triggering concern about their potential distribution. However, little is known about the niche shifts of the pests during the invasion, making it difficult to assess their potential ranges. We thus employed two distinct approaches (i.e., ordination‐based and reciprocal model‐based) to compare the native and invaded niches of ALB and CLB after their spread to new continents based on global occurrence records. We further constructed models with pooled occurrences from both the native and invaded ranges to analyze the effects of occurrence partitioning on predicted ranges.ResultsWe detected expansions in the invaded niches of both pests, indicating that the niches shifted to varying extents after the invasion. Large shares of the native niches of ALB and CLB remained unfilled, revealing the potential for further invasion in new regions. The models calibrated with pooled occurrences clearly underestimated the potential ranges in invaded regions compared with the projections based on partitioned models considering native and invaded areas separately.ConclusionsThese results emphasize the importance of elucidating the niche dynamics of invasive species for obtaining accurately predicted ranges, which may help identify risk areas masked by the assumption of niche conservatism. Furthermore, prevention and quarantine measures for ALB and CLB are clearly needed to avoid future serious damage to forest ecosystems. © 2023 Society of Chemical Industry.
Thirty‐minute test to detect insecticide resistance under field conditions: the case of the Asian citrus psyllid
Authors: Pardo‐Melgarejo Saúl , Rodríguez‐Maciel J. Concepción , Pineda Samuel , Lagunes‐Tejeda Ángel , Guzmán‐Franco Ariel W. , Silva‐Aguayo Gonzalo , Ramírez‐Sánchez Ana Karen 
Published: April 2023

AbstractBackgroundDiaphorina citri Kuwayama is one of the most destructive citrus pests worldwide. It is controlled mainly through applications of conventional insecticides. Methodologies used to estimate resistance to insecticides do not correlate with field efficacy, and do not provide timely and reliable information to make decisions at a site where spraying is needed. The use of diagnostic doses with 30‐min exposure is proposed for estimating the resistance of D. citri to imidacloprid, spinosad, malathion and chlorpyrifos at the orchard level.ResultsUnder laboratory conditions, we estimated the lowest doses that caused 100% mortality within 30 min of exposure (diagnostic dose) in a susceptible D. citri colony. The diagnostic doses for imidacloprid, spinosad, malathion and chlorpyrifos were 7.4, 4.2, 1.0 and 5.5 mg a.i. L−1, respectively. Under field conditions, we applied the diagnostic doses to D. citri feeding on Citrus aurantifolia Swingle at five localities in Michoacan state, Mexico (Nueva Italia, Santo Domingo, El Varal, Gambara and El Ceñidor). Additionally, the field efficacy of these insecticides against these populations was evaluated. A significant correlation between field efficacy and mortality was observed with the diagnostic doses for imidacloprid, malathion and chlorpyrifos (R2 ≥ 0.93). The correlation for spinosad could not be estimated because the mortality caused by the diagnostic dose and its field efficacy at all study sites was consistently >98%.ConclusionsField efficacy and resistance were estimated based on the field diagnostic doses with 30‐min exposure for all tested insecticides. Consequently, growers and pest management technicians can estimate the performance of the evaluated insecticides at the orchard level and before insecticide application. © 2023 Society of Chemical Industry.
A general supramolecular adjuvant for pesticides based on host–guest recognition
Authors: Ma Rong , Zheng Yue‐Dan , Tian Han‐Wen , Chen Meng‐Meng , Yue Yu‐Xin , Bian Qiang , Li Hua‐Bin , Guo Dong‐Sheng 
Published: April 2023

AbstractBACKGROUNDPesticides are indispensable in agriculture and can effectively improve the yields and quality of crops. Due to their weak water solubility, most pesticides need to be dissolved by adding solubilizing adjuvants. In this work, based on molecular recognition of the macrocyclic host, we developed a novel supramolecular adjuvant, called sulfonated azocalix[4]arene (SAC4A), which significantly improves the water solubility of pesticides.RESULTSSAC4A presents multiple advantages, including high water solubility, strong binding affinity, universality, and simple preparation. SAC4A showed an average binding constant value of 1.66 × 105 M−1 for 25 pesticides. Phase solubility results indicated that SAC4A increased the water solubility of pesticides by 80–1310 times. The herbicidal, fungicidal, and insecticidal activities of supramolecular formulations were found to be superior to those of technical pesticides, and the herbicidal effects were even better than those of commercial formulations.CONCLUSIONOverall results revealed the potential of SAC4A to improve the solubility and effectiveness of pesticides, providing a new development idea for the application of adjuvants in agriculture. © 2023 Society of Chemical Industry.
Molecular mechanisms of neuroprotective offerings by rosmarinic acid against neurodegenerative and other CNS pathologies
Authors: Ravaria Pooja , Saxena Priyanka , Laksmi BS Shruti , Ranjan Vikas , Abidi Syed Wasfi Fatma , Saha Priyanka , Ramamoorthy Siva , Ahmad Faraz , Rana Sandeep Singh 
Published: April 2023

AbstractRosmarinic acid (RA) is a natural phenolic compound present in culinary herbs of the Boraginaceae, Lamiaceae/Labiatae, and Nepetoideae families. While the medicinal applications of these plants have been known for ages, RA has only been relatively recently established as an effective ameliorative agent against various disorders including cardiac diseases, cancer, and neuropathologies. In particular, several studies have confirmed the neuroprotective potential of RA in multiple cellular and animal models, as well as in clinical studies. The neuroprotective effects mediated by RA stem from its multimodal actions on a plethora of cellular and molecular pathways; including oxidative, bioenergetic, neuroinflammatory, and synaptic signaling. In recent years, RA has garnered tremendous interest as an ideal therapeutic candidate for treating neurodegenerative diseases. This review first briefly discusses the pharmacokinetics of RA and then proceeds to detail the neuroprotective mechanisms of RA at the molecular levels. Finally, the authors focus on the ameliorative potential of RA against several central nervous system (CNS) disorders, ranging from neuropsychological stress and epilepsy to neurodegenerative diseases such as Alzheimer's disease, Huntington's disease, Parkinson's disease, Lewy body dementia, and amyotrophic lateral sclerosis.
Robust sampled‐data PID controller design for regulation control of nonlinear systems with output delay
Authors: Li Yaopo , Ma Dan 
Published: April 2023

AbstractIn this article, the robust sampled‐data PID controller design for regulation control of second‐order nonlinear systems with output delay is studied. With the finite difference method, the sampled‐data PID controller is designed utilizing the sampled delay output. A sufficient condition is proposed to guarantee the exponentially regulating of the nonlinear system output to a set‐point. Then the corresponding robust sampled‐data PID controller is designed by solving a linear matrix inequality feasible problem. Furthermore, the robust design of sampled‐data PID control for regulation control of second‐order nonlinear systems against output delay is also given. The control performance comparison and the Monte Carlo simulation are given in numerical examples to illustrate the efficiency of the main results.
UsingEye‐TrackingMeasures to Predict Reading Comprehension
Authors: Mézière Diane C. , Yu Lili , Reichle Erik D. , von der Malsburg Titus , McArthur Genevieve 
Published: April 2023

ABSTRACTThis study examined the potential of eye‐tracking as a tool for assessing reading comprehension. We administered three widely used reading comprehension tests with varying task demands to 79 typical adult readers while monitoring their eye movements. In theYork Assessment of Reading for Comprehension(YARC), participants were given passages of text to read silently, followed by comprehension questions. In theGray Oral Reading Test(GORT‐5), participants were given passages of text to read aloud, followed by comprehension questions. In the sentence comprehension subtest of theWide Range Achievement Test(WRAT‐4), participants were asked to provide a missing word in sentences that they read silently (i.e., a cloze task). Linear models predicting comprehension scores from eye‐tracking measures yielded different results for the three tests. Eye‐tracking measures explained significantly more variance than reading‐speed data for the YARC (four times better), GORT (three times better), and the WRAT (1.3 time better). Importantly, there was no common strong predictor for all three tests. These results support growing recognition that reading comprehension tests do not measure the same cognitive processes, and that participants adapt their reading strategies to the tests' varying task demands. This study also suggests that eye‐tracking may provide a useful alternative for measuring reading comprehension.
Visible‐Light‐Driven LaFeO3/CdS Heterojunction Photocatalysts for Photo‐Fenton Degradation of Levofloxacin
Authors: Qi Huixiu , Wu Min , Wang Jun , Zhang Bingjie , Dai Chaohua , Teng Fukang , Zhao Min , He Lin 
Published: April 2023

AbstractA series of composite photocatalysts LaFeO3/CdS‐x (LFO/CS‐x, x=10–50 wt%) were prepared by a simple sol‐gel and solvothermal two‐step method for photo‐Fenton degradation of levofloxacin (LVF). The removal rate of LVF by LFO/CS‐40 reached 97.3 % within 100 min, showing excellent photocatalytic activity compared with LaFeO3 and CdS. The prepared composites were characterized and analyzed by XRD, FT‐IR, DRS, SEM, HRTEM, XPS, photoelectrochemical analysis and other techniques. Mechanistic investigations show that the heterojunction structure, can promote the separation and migration of photogenerated electron‐hole pairs, and the photogenerated charges can induce the generation of various active species under the synergistic effect of H2O2, and then efficiently degrade pollutants. Additionally, the effects of different parameters on the photo‐Fenton degradation were explored, and the good stability of composites is proved by cycling tests. The LFO/CS‐40 composite photocatalyst designed in this work has potential application prospects in the green and efficient treatment of antibiotic wastewater.
Eco‐Friendly Synthesis of Iron Nanoparticles Using Green Tea Extract: Characterization and Evaluation of Their Catalytic, Anti‐oxidant and Anti‐bacterial Potentials
Authors: Gupta Komal , Saini Kirti , Mathur Jaya 
Published: April 2023

AbstractThe green route for the synthesis of metal nanoparticles has emerged as a promising pathway due to its simple, non‐toxic, low‐cost, and environment‐friendly nature. In this study, eco‐friendly iron nanoparticles were successfully synthesized from the extract of green tea leaves. The synthesized nanoparticles were characterized by UV‐Visible, FT‐IR, SEM, EDX, TEM, and XRD techniques. The morphological analysis of the nanoparticles by SEM and TEM studies revealed that they were spherical in shape with particle size in the 30–70 nm range. The XRD investigation established the amorphous nature of the nanoparticles. The role of the phytochemicals of the tea extract as the reducing and stabilizing agents for the nanoparticles was confirmed by the FT‐IR analysis. The iron nanoparticles exhibited significant catalytic potential in the degradation of organic dyes‐ malachite green and methylene blue. The reactions followed pseudo‐first‐order kinetics and the percent degradation of 85.20 % for malachite green and 89.42 % for methylene blue was achieved in 20 min. and 10 min. respectively. The nano‐catalyst was reusable for three consecutive cycles of degradation reaction without any significant loss in its activity. The anti‐oxidant activity of the nanoparticles was studied by the DPPH assay wherein the nanoparticles exhibited a promising free radical scavenging ability of about 77 % with the IC50 value of 589.70 μg/mL. The anti‐bacterial activity of the nanoparticles was analyzed by the agar well diffusion method against four bacterial strains: gram‐positive Staphylococcus aureus, Bacillus subtilis, and gram‐negative Escherichia coli, Pseudomonas aeruginosa. The zones of inhibition and the Minimum Inhibitory Concentration (MIC) values of the nanoparticles were determined. The nanoparticles showed moderate toxicity against all the tested bacterial strains. The synthesis of the iron nanoparticles was rapid and simple and the results of the investigated applications were significant and promising.
Synthesis, Electrochemical and Antioxidant Properties of New Thiazolylazo‐based Mixed Ligand Metal Complexes
Authors: Özdemir Neşet , Yıldırım Baştemur Gizem , Akpınar Reyhan , Perçin Özkorucuklu Sabriye , Erdem Tunçmen Mukadder , Karipcin Fatma 
Published: April 2023

AbstractThe complexes of 4‐(2‐thiazolylazo)resorcinol (TAR) and 2,2′‐bipyridine (bpy), [M(bpy)(TAR)(H2O)]AcO [(M=CoII, CuII, ZnII] and [Mn(bpy)(TAR)AcO] were synthesized and their structure was determined by elemental analysis, thermal analysis (DTA/TGA), IR spectroscopy, molar conductivity, and magnetic measurements. The ligand 4‐(2‐thiazolylazo)resorcinol coordinated to metalII ions via azo and thiazolyl group nitrogens and one oxygen atom of resorcinol, while 2,2′‐bipyridine also contributed two coordination bonds via its nitrogen atoms. The electrochemical profile of the compounds was investigated by cyclic voltammetry (CV) which confirmed their electrochemical activity. The results obtained by CV method pointed out that the electrode reactions were diffusion controlled. The total antioxidant capacities of the ligands and complexes were evaluated by using cupric reducing antioxidant capacity (CUPRAC) method. The complexes displayed more antioxidant activity than their ligands. The Trolox equivalent antioxidant activity (TEAC) values of all complexes exhibited more higher and approximate values to Trolox but bpy ligand did not show any activity.
Photocatalytic Degradation of Tetracycline Hydrochloride by Zinc oxide/Polypyrrole/Carbon nanotubes
Authors: Lv Yuguang , Gong Zhao , Ren Zhixin , Guan Yuchen , Wu Jiang , Lv Kuilin 
Published: April 2023

AbstractIn this study, the intermediates of the photocatalytic degradation of tetracycline hydrochloride (TC‐HCl) were analyzed by high performance liquid chromatography‐mass spectrometry. The doping of polypyrrole (PPy) and carbon nanotubes (CNTs) increased the reaction rate of TC‐HCl degradation by ZnO. The prepared ZnO has a large specific surface area, which can improve the adsorption performance. The introduction of PPy and CNTs can promote electron transfer and reduce the recombination of photogenerated electron hole pairs in the composite material ZnO/PPy/CNTs(ZPC), and the photocatalytic performance of the composite sample is improved. In addition, the new visible light catalyst has strong degradation effect on TC‐HCl. Using tetracycline hydrochloride as a pollutant, the photocatalytic degradation performance of each sample was analyzed. After 240 min of photoreaction, the Degradation rate of TC‐HCl (DTC‐HCl) by ZnO was 24.1 %, while that by ZPC was 91.5 %. Meanwhile, the intermediates of photocatalytic degradation of TC‐HCl were analyzed by high performance liquid chromatography‐mass spectrometry. The peak intensity of TC‐HCl from adsorption equilibrium to the end of the photocatalytic reaction occurred at a retention time of about 10.05 min and decreased with the increase of the reaction time. This indicates that TC‐HCl is broken down into small molecules during the reaction. Through the analysis of intermediates and active species, the degradation pathway of tetracycline hydrochloride was deduced.
Title: Cr(III) Incorporated Melamine‐Terephthalaldehyde Porous Organic Framework Nanosheet Catalyst for Carbon Dioxide Fixation Reaction
Authors: Deori Naranarayan , Borah Rakhimoni , Lahkar Surabhi , Brahma Sanfaori 
Published: April 2023

AbstractCr(III) centers have been incorporated into melamine‐terephthalaldehyde porous organic framework (MT‐POF) through N‐donor site coordination. Morphological studies by SEM give evidence of the transformation of spherulitic texture of non‐metalated MT‐POF to aggregated platelike structure in chromium metalated POF, MT‐Cr(III) POF (bulk). The flattening in the surface morphology of bulk MT‐Cr(III) POF might be a consequence of conformational change in POF caused by the template effect of the Cr(III) coordination. On sonication, bulk MT‐Cr(III) POF transformed into a distinguishable stacked nanosheet structure in MT‐Cr(III) POFN as revealed by FE‐SEM and TEM images. MT‐Cr(III) POFN could catalyse the carbon dioxide cycloaddition reaction to epoxides to yield cyclic carbonates in presence of tetrabutylammonium bromide (TBAB) co‐catalyst. It was found that bulkier epoxide substrates showed lesser conversions to their corresponding cyclic carbonates (styrene oxide, 41 %; allyl glycidyl ether, 70 %; butyl glycidyl ether, 63 % conv.), whereas smaller substrates showed much higher conversions (epichlorohydrin, 96 %; epibromohydrin, 95 % conv.) under the reaction conditions [MT‐Cr(III) POFN, 10 mg; TBAB, 2 mol%; 5 bar CO2; 60 °C] giving a clear evidence of the substrate discrimination. The reason for the lesser conversions of the bigger substrates can be attributed to the steric clash rendered by the POF network.
Pt nanoparticles anchored on Ti3C2 MXene‐derived TiO2 nanosheets for enhanced hydrogen evolution reaction
Authors: Zhang Qi , Liu Tengfei , Jiang Yingnan , Sun Wenxuan , Sun Meiling , Yin Guangchao , Lu Qing 
Published: April 2023

AbstractPlatinum (Pt)‐based electrocatalysts are the most excellent catalysts for hydrogen evolution reaction (HER). But Pt is limited and expensive on earth, adding the proper matrix to disperse and anchor Pt is a viable way to reduce Pt consumption. Based on the excellent structure and electrochemical properties of two‐dimensional (2D) MXene, the Ti3C2 MXene‐derived TiO2 supported Pt nanoparticles (NPs) catalysts should have good catalytic performance in theoretically, but it has not been studied in experimentally. In this study, Pt NPs were anchored on the multilayer Ti3C2 MXene‐derived TiO2 nanosheets (NSs) to obtain super catalyst. The as‐prepared Pt/TiO2/Ti3C2 catalyst exhibited excellent HER performance under acidic conditions, with an overpotential of 147 mV and a small Tafel slope (54 mv dec−1) at 10 mA cm−2. Meanwhile, it has good stability under acidic conditions, and the activity has no obvious attenuation after 1000 CV cycles. In addition, the results show that anchoring Pt NPs on Ti3C2 MXene‐derived TiO2 NSs can help to reduce the binding energy and hybridization strength between H atoms and the support, thereby promoting the fast hydrogen adsorption‐desorption kinetics and enhancing the activity of HER. This work provides a new avenue for rational construction of high‐performance Ti3C2‐based catalysts.