bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reported quality indicators and implementation outcomes of community partnership in autism intervention research: A systematic review
Authors: Tschida Jessica E. , Lee James D. , Pomales‐Ramos Anamiguel , Koo Vivien 
Published: February 2024

AbstractThere is minimal research on the quality of community partnerships in studies of interventions for autistic children. However, building high quality community engagement in autism intervention research may improve implementation outcomes. This systematic review examined studies that report community partnership in autism intervention research. A total of 135 articles were identified and 11 of these articles were included in the final review. Community partnership data were extracted using indicators from the conceptual framework for assessing research‐practice partnerships (RPP; Henrick et al., Henrick et al., Assessing research‐practice partnerships: Five dimensions of effectiveness, William T. Grant Foundation, 2017) and implementation outcomes data were extracted using the taxonomy of distinct implementation outcomes (Proctor et al., Administration and Policy in Mental Health and Mental Health Services Research, 38:65–76, 2011). Quality of studies were appraised using JBIs critical appraisal tools (Munn et al., JBI Evidence Synthesis, 18:2127–2133, 2020). RPP indicators and implementation outcomes were variably reported across studies. RPP indicators and implementation outcomes more likely to be reported were related to building trust, cultivating partnership relationships, conducting rigorous research to inform action, acceptability, and feasibility. RPP indicators and implementation outcomes less likely to be reported were related to building capacity to engage in partnership work, sustainability, cost, and penetration. Together, these results may suggest the need for increased sustainability and capacity building efforts in partnerships and increased guidelines for reporting outcomes.
Floodproofing at New Braunfels Utilities
Authors: Stehouwer Anna , Willard Adam 
Published: February 2024

Key TakeawaysA Texas utility planning to double its surface water treatment plant (SWTP) capacity weighed the most cost‐effective path to achieving flood resilience for its critical assets.Adopting an asset‐by‐asset approach, the utility applied wet and dry floodproofing techniques to the proposed assets depending on resilience needs and priorities.Highlights of the SWTP project's success included bringing a flood‐resilience mindset to the proceedings, centering safety goals, and discussing permitting from the outset.
Effect of polymethyl methacrylate on in situ patterning of perovskite quantum dots by inkjet printing
Authors: Zheng Yaqian , Duan Yanyu , Ye Yun , Zheng Xingke , Du Aochen , Chen Enguo , Xu Sheng , Guo Tailiang 
Published: February 2024

AbstractThe preparation of perovskite quantum dots (PQDs) using an in situ inkjet printing method is beneficial for improving the problems of aggregation and photoluminescence (PL) quenching during long‐term storage. However, the stability of PQDs prepared using this method is still not ideal, and the morphology of in situ‐printed patterns needs to be optimized. To address these problems, this study introduced polymethyl methacrylate (PMMA) into the process of in situ inkjet printing of PQDs and explored the effect of PMMA on the in situ patterning effect of PQDs. The results showed that using a mixed precursor solution containing a small amount of PMMA as the printing ink can slow down the shrinkage process of ink droplets and improve the uniformity of film formation. As the printing substrate, PMMA provided a suitable high‐viscosity environment for the in situ growth of PQDs. This could effectively suppress the coffee ring effect. In addition, the interaction between the C=O=C group in PMMA and metal ion Pb2+ in the CsPbBr3 precursor molecules was favourable to enhancing the density of PQDs. The prepared PMMA‐coated CsPbBr3 quantum dots (QDs) pattern had high stability and could maintain at 90.08% PL intensity after 1 week of exposure to air.
Solution Combustion Synthesis of Ce‐based Composite Oxygen Carriers for Chemical Looping Reforming of Methane
Authors: Wang Jiarui , Liu Dawei , Zhang Weixiang , Hou Biao , Deng Yao , Ma Xiaoxun , Xu Long 
Published: February 2024

AbstractEfficient activation and the conversion of methane to value‐added products have long attracted interest. Chemical looping reforming has become a competitive technology to transform methane into syngas that can act as raw material for various chemicals. In this paper, the methane chemical looping reforming reactivity of the Ce−Co composite oxygen carriers fabricated with different preparation methods, including solution combustion, ball‐milling, hydrothermal, and co‐precipitation method, are investigated on a fixed‐bed. Various bulk/surface characterizations (TEM, XRD, BET, XPS, Raman, etc.) were applied to reveal the effect of preparation methods on the properties of these oxygen carriers. The results indicate that the oxygen carrier prepared by the solution combustion method exhibits excellent methane conversion, high syngas yield, and desirable H2/CO ratio, as well as stable regenerability because of its relatively small crystal size, large specific surface area, high oxygen vacancy concentration and Ce3+/Ce4+ ratio. This work may be helpful in the preparation of highly active and stable oxygen carriers for chemical looping reforming reaction of methane.
Highly Active MoS2‐MXenes Hybrid Electrocatalysts Towards the Oxygen Reduction Reaction
Authors: Remedios‐Díaz Yapci , Delgado Stefan , Calderón Juan Carlos , Calvillo Laura , del Carmen Arévalo María , Pastor Elena 
Published: February 2024

AbstractIn this work, catalytic performance of MoS2 supported on Mo2TiC2 and Ti3C2 MXenes towards the oxygen reduction reaction (ORR) was studied. These materials were synthesised through an etching route of MAX phases as precursors of MXenes, followed by a hydrothermal treatment to coat them with MoS2. This procedure generated MoS2 nanospheres covering the MXenes, which were verified by SEM‐EDX mapping, Raman spectroscopy and XPS. Activity of these materials towards ORR was studied by RRDE, comparing its performance with that of individual MoS2 and MXenes. As main features, it was demonstrated that production of HOO− occurring on the composites decreases in comparison with individual materials. Long‐term stability tests performed in O2‐saturated electrolyte showed a drop in the activity of the materials due to the increase in the production of HOO−, although no morphological or compositional changes were observed. Despite this result, the improvement of the catalytic properties of the individual materials means that these composites can be considered as candidates to be used as supports of active non‐noble metal nanoparticles in the cathodes of anion exchange membrane fuel cells (AEMFCs).
Metal–N4 model single‐atom catalyst with electroneutral quadri‐pyridine macrocyclic ligand for CO2 electroreduction
Authors: Peng Jian‐Zhao , Li Yin‐Long , Cheng Yao‐Ti , Li Fu‐Zhi , Cao Bo , Wang Qing , Yue Xian , Lai Guo‐Tao , Wang Yang‐Gang , Gu Jun 
Published: February 2024

AbstractMetal–N–C single‐atom catalysts, mostly prepared from pyrolysis of metal‐organic precursors, are widely used in heterogeneous electrocatalysis. Since metal sites with diverse local structures coexist in this type of material and it is challenging to characterize the local structure, a reliable structure–property relationship is difficult to establish. Conjugated macrocyclic complexes adsorbed on carbon support are well‐defined models to mimic the single‐atom catalysts. Metal–N4 site with four electroneutral pyridine‐type ligands embedded in a graphene layer is the most commonly proposed structure of the active site of single‐atom catalysts, but its molecular counterpart has not been reported. In this work, we synthesized the conjugated macrocyclic complexes with a metal center (Co, Fe, or Ni) coordinated with four electroneutral pyridinic ligands as model catalysts for CO2 electroreduction. For comparison, the complexes with anionic quadri‐pyridine macrocyclic ligand were also prepared. The Co complex with the electroneutral ligand expressed a turnover frequency of CO formation more than an order of magnitude higher than that of the Co complex with the anionic ligand. Constrained ab initio molecular dynamics simulations based on the well‐defined structures of the model catalysts indicate that the Co complex with the electroneutral ligand possesses a stronger ability to mediate electron transfer from carbon to CO2.
Bi(III) Binding Stoichiometry and Domain‐Specificity Differences Between Apo and Zn(II)‐bound Human Metallothionein 1a
Authors: Korkola Natalie C. , Ostertag Anne‐Lena , Toswell Emily , Stillman Martin J. 
Published: February 2024

AbstractBismuth is a xenobiotic metal with a high affinity to sulfur that is used in a variety of therapeutic applications. Bi(III) induces the cysteine‐rich metallothionein (MT), a protein known to form two‐domain cluster structures with certain metals such as Zn(II), Cd(II), or Cu(I). The binding of Bi(III) to MTs has been previously studied, but there are conflicting reports on the stoichiometry and binding pathway, which appear to be highly dependent on pH and initial metal‐loading status of the MT. Additionally, domain specificity has not been thoroughly investigated. In this paper, ESI‐MS was used to determine the binding constants of [Bi(EDTA)]− binding to apo‐MT1a and its individual αMT fragment. The results were compared to previous experiments using βMT1a and βαMT3. Domain specificity was investigated using proteolysis methods and the initial cooperatively formed Bi2MT was found to bind to cysteines that spanned across the traditional metal binding domain regions. Titrations of [Bi(EDTA)]− into Zn7MT were performed and were found to result in a maximum stoichiometry of Bi7MT, contrasting the Bi6MT formed when [Bi(EDTA)]− was added to apo‐MT. These results show that the initial structure of the apo‐MT determines the stoichiometry of new incoming metals and explains the previously observed differences in stoichiometry.
Area averaging of packed bed in continua conservation equations in axial flow
Authors: Otarod Masood 
Published: February 2024

AbstractA novel averaging of the conservation equations for axial flow in packed beds is presented to express the momentum, continuity, and energy equations in terms of the cross‐sectional averages of concentration, temperature, and superficial velocity. The model integrates the radial fluctuations of the intrinsic variables into the partial differential equations of the model and presents a method for the design and analysis of catalytic reactors at a broad range of Reynolds numbers without the necessity of adjusting the operating conditions to minimize the impact of the radial profiles of velocity, concentration, and temperature. Since the control of the industrial reactors is dependent on the average values of the concentration and temperature, the model can be directly employed for design, optimization, and control processes with the added advantage of time and cost savings for both the numerical resolution and laboratory testing expenses. The model is limited to reaction systems with Péclet numbers of less than 700 with an average void fraction of for which the ratio of the bed length‐to‐particle diameter to particle Péclet number exceeds . The model was applied to the simulation of steam methane reforming (SMR). The results indicate that the average equations predict the responses of the SMR properly and thus the model could be reliably utilized for process design, operation, and control.
Tailored Tetrasubstituted Imidazole Carrying the Benzenesulfonamide Fragments as Selective Human Carbonic Anhydrase IX/XII Inhibitors
Authors: Taher Ehab S. , Marzouk Adel A. , Abd‐Allah Walaa Hamada , Giovannuzzi Simone , Ibrahim Tarek S. , Supuran Claudiu T. , El Hamd Mohamed A. , El‐Behairy Mohammed Farrag 
Published: February 2024

AbstractA new series of tetrasubstituted imidazole carrying sulfonamide as zinc‐anchoring group has been designed. The structures of the synthesized derivatives 5 a–l have been confirmed by spectroscopic analysis. These compounds incorporate an ethylenic spacer between the benzenesulfonamide and the rest of the trisubstituted imidazole moiety and were tested as inhibitors of carbonic anhydrases and for in‐vitro cytotoxicity. Most of them act as effective inhibitors of the tumor‐linked CA isoforms IX and XII, in nanomolar range. Also, different compounds have shown selectivity in comparable with the standard acetazolamide. Our IBS 5 d, 5 g, and 5 l (with Ki: 10.1, 19.4, 19.8 nM against hCA IX and 47, 45, 20 nM against hCA IX) showed the best inhibitory profile. In‐vitro screening of all derivatives against a full sixty‐cell‐lined from NCI at a single dose of 10 μM offered growth inhibition of up to 45 %. Compound 5 b has been identified with the most potent cytotoxic activity and broad spectrum. Docking studies have also been implemented and were also in accordance with the biological outcomes. Our SAR analysis has interestingly proposed efficient tumor‐related hCAs IX/XII suppression.
Discovery of a proliferation essential gene signature and actin‐like 6A as potential biomarkers for predicting prognosis and neoadjuvant chemotherapy response in triple‐positive breast cancer
Authors: Li Xiaofen , Luo Shiping , Fu Wenfen , Huang Mingyao , Huang Xiewei , Kang Shaohong , Zhang Jie , Wang Qingshui , Song Chuangui 
Published: February 2024

AbstractBackgroundPatients with triple‐positive breast cancer (TPBC) have a higher risk of recurrence and lower survival rates than patients with other luminal breast cancers. However, there are few studies on the predictive biomarkers of prognosis and treatment responses in TPBC.MethodsProliferation essential genes (PEGs) were acquired from clustered regularly interspaced short palindromic repeats‐associated protein 9 (CRISPR‐Cas9) technology, and cohorts of patients with TPBC were obtained from public databases and our cohort. To develop a TPBC‐PEG signature, Cox regression and least absolute shrinkage and selection operator regression analyses were applied. Functional analyses were performed with gene set enrichment analysis. The relationship between candidate genes and neoadjuvant chemotherapy (NACT) sensitivity was explored via real‐time quantitative polymerase chain reaction (RT‐qPCR) and immunohistochemistry (IHC) on the basis of clinical samples.ResultsAmong 900 TPBC‐PEGs, 437 showed significant differential expression between TPBC and normal tissues. Three prognostic PEGs (actin‐like 6A [ACTL6A], chaperonin containing TCP1 subunit 2 [CCT2], and threonyl‐TRNA synthetase [TARS]) were identified and used to construct the PEG signature. Patients with high PEG signature scores exhibited a worse overall survival and lower sensitivity to NACT than patients with low PEG signature scores. RT‐qPCR results indicated that ACTL6A and CCT2 expression were significantly upregulated in patients who lacked sensitivity to NACT. IHC results showed that the ACTL6A protein was highly expressed in patients with NACT resistance and nonpathological complete responses.ConclusionsThis efficient PEG signature prognostic model can predict the outcomes of TPBC. Furthermore, ACTL6A expression level was associated with the response to NACT, and could serve as an important factor in predicting prognosis and drug sensitivity of patients with TPBC.
Unveiling the Reaction Mechanisms of the Synthesis and the Excited State Intramolecular Proton Transfer of 2‐(2′‐hydroxyphenyl)imidazo[1,2‐a]pyridine
Authors: Monreal‐Corona Roger , Stasyuk Anton J. , Solà Miquel , Pla‐Quintana Anna , Poater Albert 
Published: February 2024

AbstractGiven its wide variety of applications in the pharmaceutical industry, the synthesis of imidazo[1,2‐a]pyridines has been extensively studied since the beginning of the last century. Here, we disclose the mechanism for the synthesis of imidazo[1,2‐a]pyridines by means of the Ortoleva‐King reaction. We also reveal the reaction pathway leading to the formation of a iodinated byproduct, demonstrating the challenge of preventing the formation of such a byproduct because of the low energy barrier to access it. Moreover, quantum chemistry tools were employed to investigate the mechanism of intramolecular proton transfer in the excited state, and connections with aromaticity were explored.
Employing the Microemulsion Synthesis Technique to Investigate the Structural and Magnetic Properties of Multicomponent Ferrite Nanoparticles
Authors: Kumar Sanjeev , Singhal Shivangi , Chanana Avaani 
Published: February 2024

AbstractCoFe2O4, ZnFe2O4, NiFe2O4, Co0.5Ni0.5Fe2O4, Ni0.5Zn0.5Fe2O4, and Co0.5Zn0.5Fe2O4 are among the multicomponent ferrite nanoparticles that are created using the reverse microemulsion technique and a mixed surfactant. These nanoparticles are thoroughly characterized using techniques such as vibrating sample magnetometer (VSM), energy dispersive X‐ray spectroscopy (EDS), Fourier transform infrared spectroscopy (FT‐IR), and X‐ray diffraction (XRD). All the nanoparticles display a cubic spinel crystal structure, according to the X‐ray investigation. As the concentration of zinc increases, there is a noticeable rise in the lattice constant because the size of Zn+2 is more than Co+2. This study also investigates the relationship between the magnetic characteristics of nanocrystals and their matching size, composition, and features.
Understanding seasonal influence on sorghum productivity traits
Authors: Aruna Chandrasekhar Reddy , Madhusudhana R. , Deepika Cheruku 
Published: February 2024

AbstractChanging climate and the need for continuous supply of grain to establish sorghum [Sorghum bicolor (L.) Moench] as an industrial crop encourage for developing season neutral high‐yielding genotypes for wider cultivation. This study was aimed to understand the effect of varied growing seasons on productivity and morphological traits. Thirty‐two sorghum genotypes, including rainy season hybrids, parental lines, and rainy and post‐rainy varieties, were evaluated over five seasons for six traits. Seasons significantly affected days to physiological maturity, grain filling period (GFP), plant height (PH), and 100‐grain weight. The PH was reduced during summer by 35.4% over rainy and 16.5% over post‐rainy values, while reduction in GFP was 10% over rainy and 17.8% over post‐rainy values. Though variation for grain yield (GY) was found to be non‐significant across seasons, group analysis indicated that GY of rainy hybrids was high across all seasons (57–71 g per plant), while GY of post‐rainy varieties was reduced by 70% in rainy season and by 42% in summer compared to their performance during post‐rainy season. Rainy hybrids were more stable and adaptable to all seasons, while post‐rainy varieties had season specific adaptability. Additive main‐effects and multiplicative interactions, genotype + genotype × environment, and multi‐trait stability index analyses suggested that the rainy hybrids, namely, CSH 13, CSH 16, and CSH 25, were the best based on performance and stability over seasons. Exploiting rainy season genetic material may be fruitful in developing high‐yielding season neutral sorghum genotypes for cultivation across seasons, so that the future demand of sorghum as an industrial crop can be addressed effectively.
Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes
Authors: Yahdou Adil , Djilali Abdelkadir Belhadj , Bounadja Elhadj , Benbouhenni Habib 
Published: February 2024

SummaryAccording to recent research work, increasing electric power generation is one of the significant advantages of the dual‐rotor wind turbine (DRWT) compared to the other types for the same wind speed. In this research work, a modified super‐twisting sliding mode control (STSMC) based on the neural network (NN) is suggested to regulate the stator powers of a DRWT‐based doubly‐fed induction generator (DFIG) in normal and unbalanced grid fault modes. The design of this strategy involves replacing the gains of conventional STSMC with the NN algorithm to enhance robustness, mitigate the impact of unbalanced grid voltage, and consequently improve the quality of the generated power of DRWT‐based DFIG. This forms the primary contribution of this work. The suggested strategy is compared with vector control (VC) and conventional STSMC in terms of reference tracking, power ripples, response dynamics, harmonic distortion of stator current, and the effect of an unbalanced grid fault. Finally, the utility and effectiveness of the designed controller are confirmed through computer simulations. Furthermore, when the grid is subjected to a 20% voltage drop, the results demonstrate that the suggested strategy reduced the total harmonic distortion (THD) value of the stator current by 12.92% compared to VC and by 9.29% compared to conventional STSMC.
Analysis and assessment of electrical and thermal performance of five‐phase voltage source inverter under different modulation strategies: Comparative study under balanced and unbalanced load
Authors: Sabri Sekhri , Benachour Ali , Guessar Houssam Eddine , Badaoui Mohamed Lamine , Berkouk El Madjid , Mahmoudi Mohand Oulhadj , Kermadi Mostefa , Mekhilef Saad 
Published: February 2024

SummaryThis paper compares four modulation strategies applied to five‐phase voltage source inverters (5PH‐VSI). The modulation strategies under investigation are sine wave pulse width modulation (S‐PWM), fifth‐harmonic injection PWM (FH‐PWM), space vector‐PWM using two large vectors (2V‐SVPWM), and space vector‐PWM using two medium and two large vectors (4V‐SVPWM). The study utilizes simulations to analyze the results based on four performance criteria: low‐order harmonics (LOH), maximum modulation index (MMI), common mode voltage (CMV), and total harmonic distortion (THD) under balanced and unbalanced load. To validate the simulation results for these criteria, an experimental test‐bench is employed, which includes a 5PH‐VSI feeding an R‐L load, and controlled by a low‐cost STM32F4‐DISCOVERY microcontroller board. Additionally, a mathematical approach is used to calculate the total thermal losses (TTL) then simulations are performed using Piecewise Linear Electrical Circuit Simulation (PLECS) software to assess the modulation schemes based on additional thermal performance criteria: conduction losses (CL), switching losses (SL), TTL, the efficiency, and the maximum permissible heat sink thermal resistance (MPHTR) at the steady‐state regime. The results indicate that the 4V‐SVPWM method demonstrates superior efficiency in terms of THD. Furthermore, it showcases the lowest TTL at high switching frequencies, allowing for the best efficiency and minimizing MPHRT, therefore providing the largest margin for the heat sink thermal resistance design. On the other hand, the 2V‐SVPWM offers the highest MMI, but this comes at the cost of high TTL and some LOHs appearing. In addition, it exhibits the highest CMV for unbalanced load. S‐PWM and FH‐PWM offer the advantage of simpler implementation.