bluuebunny/crossref_metadata_2025_split huggingface dataset:
A labour of love: Cross‐cultural research collaboration between Australia and Indonesia
Authors: Warman Russell , Watson Phillipa , (Amy) Lin Chia Chin , Allen Pam , Beazley Harriot , Junaidi Ahmad , Newland Jamee , Harris Rebecca 
Published: January 2024

AbstractNovel combinations of global conditions, issues under investigation and research alliances require constant reassessment of how to conduct cross‐cultural research. Here we recount an exploratory investigation considering cross‐cultural research between Australian and Indonesian researchers. This paper sets out a range of considerations for practitioners of cross‐cultural research between our two countries. This investigation supports intentions to develop trans‐disciplinary climate change adaptation research but is applicable across multiple research topics and disciplines. We engaged a small multi‐disciplinary mix of researchers, from both countries, conducted two initial focus groups, and subsequently involved participants in drafting of this paper as an exploration of how being cross cultural could manifest. We highlight that cross‐cultural collaborations occur in environments of both cultural differences and power differences. Four main strategies emerged for dealing with the challenges (or opportunities): working respectfully, being reflective of cross‐cultural research practice, being flexible, and learning about culture. Overarching these strategies, we found cross‐cultural research requires considerable extra (long term) effort to tackle and that this is sustained by researchers' intrinsic motives to care for people and place, making this type of research a distinctive labour of love. Finally, we found similarities between cross‐cultural research and climate change adaptation research (even when conducted within one country) where both endeavours call for boundaries of places, cultures and disciplines to be crossed in order to effectively engage with complex topics and environments. Negotiating the liminalities here often defies set formulas and requires a willingness to engage with and ‘muddle through’ the messiness. Our findings will be of value to those undertaking cross‐cultural research across a wide range of issues.
Participatory governance in public health emergencies: A case study of Quanzhou from a legal perspective
Authors: Wenxiang Zhang 
Published: January 2024

AbstractDuring public health emergencies, the work of prevention and control must be normalised, and coordination between economic development and epidemic prevention is crucial. However, in China, there is a lack of research on participatory governance in public health emergencies, particularly from a legal perspective. Existing studies are insufficient in terms of using legal texts and exploring legal governance in a normative sense, and there is an inadequate in‐depth exploration of issues such as the legitimacy, path, motivation, and other aspects of participation. This article addresses these gaps by analysing the issues of participatory governance in public health emergencies from a legal perspective, using practical cases as examples. The research has shown that there are significant differences among the three types of organisations regarding their internal motivation, external incentives, and legal basis, and therefore it is necessary to distinguish different participation paths. Finally, we propose several measures to promote the active and sustained participation of organisation in governance, including cultivating the ability of organisations, emphasising organizational demands, seeking consensus, strengthening the guiding role of legislation, and broadening the channels of engagement.
The uterocervical angle‐cervical length ratio: A promising predictor of preterm birth?
Authors: Movahedi Minoo , Goharian Maryam , Rasti Sina , Zarean Elaheh , Tarrahi Mohammad Javad , Shahshahan Zahra 
Published: January 2024

AbstractObjectiveTo predict spontaneous preterm birth (sPTB) (labor before 37 weeks of pregnancy) in low‐risk singleton pregnancies during the second trimester, using ultrasound markers: uterocervical angle (UCA) and cervical length (CL).MethodsIn a prospective observational cohort study, we followed primigravid women with singleton pregnancies without known risk factors for sPTB from 16+0–23+6 weeks of pregnancy until birth. Transvaginal ultrasonography on admission revealed the UCA and CL, and maternal history was obtained from submitted patient profiles. Logistic regression models disclosed significant predictive variables, and receiver operating curves (ROCs) demonstrated optimal cut‐offs and test accuracy indices. Predictive functions of variables were compared using positive and negative likelihood ratios.ResultsIn a sample of 357 participants, 41 (11.5%) experienced sPTB. UCA and CL were significantly associated with sPTB when adjusting for other variables (adjusted odds ratio: UCA 1.05, 95% confidence interval [CI] 1.02–1.07 and CL 0.82, 95% CI 0.75–0.90). Optimal cut‐offs were estimated to be 106° and 33 mm for UCA and CL, respectively. We devised the novel index UCA/CL with an area under the ROC of 0.781 (95% CI 0.734–0.823), cut‐off = 3.09°/mm, and improved likelihood ratios (positive: 3.18, 2.47, and 4.22; negative: 0.63, 0.52, and 0.51 for UCA, CL, and UCA/CL, respectively).ConclusionThe second‐trimester UCA/CL was found to be a promising index to predict sPTB in low‐risk singleton pregnancies. Further multicenter studies may generalize this conclusion to other gestational ages or risk groups and make it more comprehensive by considering other risk factors.
Novel BRAF N581S mutation in mantle cell lymphoma
Authors: Hariharan Nisha , Bedi Davsheen , Choi Michael Y. , Wang Huan‐You , Heyman Benjamin M. 
Published: January 2024

AbstractBRAF mutations are associated with a small number of hematologic malignancies, including hairy cell leukemia and histiocytic disorders. In addition, BRAF mutations have also been detected in low frequency in other B‐cell lymphomas, such as chronic lymphocytic leukemia and diffuse large B‐cell lymphoma, but never in mantle cell lymphoma (MCL). We present a case of a 69‐year‐old female with classic MCL harboring a BRAFN581S mutation. To our knowledge, this is the first reported case of any BRAF mutation in MCL.
Novel pyrazole‐biphenyl‐carboxamides for SARS‐CoV2 entry‐level restriction and microbial infections
Authors: Samy Shanmugha , Dangate Milind Shrinivas , Alagumuthu Manikandan 
Published: January 2024

AbstractMicrobial diseases including viral infection are big issues globally. Effective medicinal discovery for them is the need for the day. In this study, we report pyrazole‐biphenyl‐carboxamides (4a‐l) validated for their SARS‐CoV2 entry‐level restriction effect over studying the protein–protein interaction of SARS‐CoV2 with human ACE protein. Their extended antimicrobial properties were also evaluated. Online and offline software tools predicted MD simulation and ADMET druggability in silico. The antimicrobial efficacy of all compounds was also evaluated against Gram+ve Streptococcus pneumoniae (MTCC 1936), Staphylococcus aureus (MTCC 737) and Gram‐ve Escherichia coli (MTCC 443), Pseudomonas aeruginosa (MTCC 424) (bacteria). In the results, compounds 4g and 4i were evenly active against both bacteria at a low concentration range (MIC: 1.00 to 9.5 μg/mL) and displayed lesser toxicity to tested mammalian cells (EC100 = 75 μg/mL). Furthermore, it was able to kill metabolically inactive bacterial cells and eradicate established biofilms of Methicillin‐resistant Staphylococcus aureus (MRSA). Both the compounds inhibited DNA gyrase well with an IC50 0.25 μM (96% relative activity) and 0.52 μM (97% relative activity) respectively. Compounds (4a‐l) showed restrictive efficiency of SARS‐CoV2 spike protein (SC2SP) and human angiotensin‐converting enzyme 2 (hACE2) entry‐level association in COVID‐19 in silico. To assess this ability, firstly, we identified the crucial amino acid residues involved in the interface of SARS‐CoV‐2 and hACE2 virtually. We recognized the ability of 4a‐l binding to the binding interface to SARS‐CoV2; thus, the interaction of SC2SP‐hACE2 was effectively inhibited.
Expansion of winter ENSO‐associated rainfall affected area in Southeast Asia under warmer climate
Authors: Leong Minqi , Juneng Liew , Tangang Fredolin , Salimun Ester 
Published: January 2024

AbstractThis paper examines the changes of El Niño–Southern Oscillation (ENSO) associated winter rainfall relationship in Southeast Asia (SEA) in the historical period (1981–2010) and future period (2071–2100) based on the Coupled Model Intercomparison Project Phase 6 (CMIP6) models simulations. Twenty general circulation models (GCMs) are chosen from the Scenario Model Intercomparison Project (ScenarioMIP) highest emission scenario—Shared Socioeconomic Pathway (SSP) 5‐8.5. This study focuses only on the GCMs that have been able to replicate the consistent associated patterns observed, referred to as “teleconnection‐consistent models” (TCMs). During historical period, ENSO has significant negative association with SEA winter rainfall, particularly over Indochina mainland, Maritime Continent (MC) and northern Borneo. The significant negative‐associated teleconnection affected area has increased under future climate, particularly over southern part of South China Sea (SCS). The weakening of south westerlies at Western North Pacific (WNP) centred near 20°N reduces the moisture transport from Indochina into south of China, increase the negative correlated affected area in the SEA regions above equator. The northeasterlies/easterlies that prevailed from the WNP anticyclone (AC) brings significant moisture flux into southern Borneo, causing increment of significant positive‐associated moisture flux convergence to that region. The weakening of upward motion in TCM results in less warm and moist air rising over SEA MC, reducing the rainfall availability. The 1° eastward expansion of WC downward branch eastern edge leads to suppression of convective activities, increasing the dry affected area. The results suggest that the ENSO has a larger influence on the negative‐associated SEA rainfall and atmospheric circulation in the December–January–February (DJF) late‐21st century when compared to the 1980–2010.
Synthesis of isobutyl cinnamate based on DESs catalyst: Optimization and kinetics
Authors: Xu Jumei , Zhao Ningrui , Zeng Zuoxiang , Xue Weilan 
Published: January 2024

AbstractIn this work, the optimum process conditions and kinetics of the green synthesis of isobutyl cinnamate using deep eutectic solvents (DESs) as catalysts were investigated. Isobutyl cinnamate is a spice with low toxicity and is widely used in the food industry. However, there is a lack of reports on its green synthesis. Three DESs were prepared by adjusting the mixing ratio of choline chloride (ChCl) and p‐toluenesulfonic acid (PTSA). Response surface methodology with Box‐Behnken design (RSM‐BBD) was used to optimize the process parameters of the esterification of cinnamic acid with isobutanol. The effects of catalyst loading, stirring speed, cinnamic acid/isobutanol molar ratio, and temperature on the conversion of cinnamic acid over time were evaluated. Using ChCl‐PTSA as a catalyst, the kinetics data and chemical equilibrium constants of the esterification were determined at a temperature range of 353.15–383.15 K. The pseudo‐homogeneous (PH) model based on activity was then adopted to describe the kinetics of the reaction, and the relative deviations between the experimental values and the calculated ones by PH model are less than 5.5%. Thermodynamic data (ΔrH0, ΔrS0, ΔrG0) for the esterification reaction was calculated as well. In addition, the results of six consecutive cycles of the catalyst showed that ChCl‐PTSA has good stability and recyclability.
Pulling together: Does supplier digital transformation affect customer risk‐taking capability?
Authors: Liu Qinghan , Ren Zongqiang , Liu Qiuzi 
Published: January 2024

AbstractThis study explores the impact of supplier digital transformation on customer risk‐taking capability and further explores its impact mechanism in China using A‐share listed companies from 2010 to 2020. The empirical results indicate that the supplier digital transformation mechanism test has a significant and positive impact on the risk‐taking capability of customers. They reveal that supplier digital transformation improves the risk‐taking capability of customers by easing customer financing constraints and driving customer product innovation. Additionally, the results of the heterogeneity test indicate that supply chain relationships play a moderating role in the impact of supplier digital transformation on customer risk‐taking.
Three‐fourths‐mode substrate‐integrated waveguide for tri‐band bandpass filter
Authors: Weng Lin‐Yang , Tu Wen‐Hua 
Published: January 2024

AbstractIn this letter, a novel three‐fourths‐mode substrate‐integrated waveguide (TFMSIW) single‐band bandpass filter (BPF), and a TFMSIW tri‐band BPF are proposed for the first time. The resonant modes of a TFMSIW cavity are analyzed first to show their unload quality factors and both electric and magnetic field distributions. Based on the characteristics of the TFMSIW cavities, a single‐band BPF prototype is introduced. Moreover, with multiple coupling windows for respective passbands, a further application to tri‐band BPFs is studied. Consequently, two cases of tri‐band BPF are designed, fabricated, and tested for demonstration.
Machine learning for bending behavior of sandwich beams with 3D‐printed core and natural fiber‐reinforced composite face sheets
Authors: Kamarian Saeed , Teimouri Amir , Alinia Maysam , Saber‐Samandari Saeed , Song Jung‐il 
Published: January 2024

AbstractThe primary objective of this study was to demonstrate the effectiveness of machine learning (ML) in predicting the mechanical behavior of sandwich structures. To achieve this, the study focused on assessing the bending response of environmentally friendly sandwich beams consisting of auxetic cores made from polylactic acid (PLA) and flax/epoxy composite face sheets reinforced with halloysite nanotubes (HNTs). Two ML techniques, specifically shallow neural networks (SNNs) and deep neural networks (DNNs), were employed to predict the specific energy absorption (SEA) and load‐deflection curves of these sandwich beams, respectively. The key design parameters under consideration included the HNT content in the face sheets and three geometric characteristics of the auxetic cells. Subsequently, 16 distinct specimens were meticulously designed for manufacturing, following Taguchi's experimental design principles. The cores of the structures were produced using 3D printing techniques, while the face sheets were meticulously fabricated using a hand layup process. These prepared specimens were then subjected to a three‐point bending test, and the collected data were employed to train the aforementioned neural networks. The outcomes of this study revealed that an SNN with a single hidden layer comprising seven neurons effectively predicted the SEA of the structures across various design parameter values. Additionally, the remarkable performance of a DNN, consisting of five hidden layers with 128, 64, 32, 16, and 8 units, respectively, was demonstrated by comparing its predicted results with the experimental results for a randomly designed sandwich beam.Highlights
ML techniques were used for bending behavior of sandwich beams.
The beams were made of flax/epoxy/HNT face sheets and 3D‐printed auxetic core.
SNN was successfully employed to predict the SEA of the structures.
DNN effectively predicted the load‐deflection curves.
HNT content and auxetic cells significantly impacted the bending properties.
Ballistic and Charpy impact performance of basalt fiber reinforced polymer composites
Authors: Yeter Eyüp , Deniz Muhammet , Doğru Mehmet Hanifi , Göv İbrahim 
Published: January 2024

AbstractIn this study, the behavior of composite material produced using basalt, a natural fabric, under ballistic and Charpy impact loads was investigated. The damage resistance of target plates under ballistic loads is an important design parameter in the structures that will be exposed to these loads. Cross‐ply fiber‐reinforced composite plates were produced with different numbers of layers. The composite specimens are produced using the vacuum infusion method, cross‐ply laminated with 3, 6, 9, and 12 layers ([0/90]3, [0/90]6, [0/90]9, and [0/90]12). Carbon/Epoxy specimens were also produced in identical sequences to be used as comparison material. The study aimed to understand the absorbed energy under ballistic loads and the required energy level under the Charpy impact loads of Basalt/Epoxy composite specimens with different thicknesses. Ballistic loads are applied to the specimens using a test set‐up including the sample holder mechanism and a firing system. Charpy impact tests were conducted using a standard test machine. According to the results, for 12‐layer specimens, the residual velocity difference between Basalt/Epoxy and Carbon/Epoxy is approximately 1.5 times. For the Basalt/Epoxy plate, increasing number of layers from 3 to 12 increases the amount of energy absorbed approximately 13 times. Although this increase is approximately 19 times for the Carbon/epoxy plate, when Basalt/Epoxy and Carbon/Epoxy plates are compared, Basalt/Epoxy absorbs more energy for all layer numbers. For the Charpy impact cases, it has been observed that Basalt/Epoxy absorbs approximately 34% more energy for flat wise impact and approximately 24% more energy for edgewise impact.Highlights
The behavior of composite material produced using basalt, a natural fabric.
Cross‐ply fiber‐reinforced composite plates.
Effect of different number of layers considered.
The damage resistance of target plates under ballistic loads.
Comparison of basalt and carbon‐reinforced composites.
Dynamic mechanical properties of graphene and carbon fabric‐reinforced epoxy nanocomposites
Authors: Shivakumar Hadimani , Gurumurthy G. D. , Yogananda G. S. , Mahesh T. S. , Bommegowda K. B. 
Published: January 2024

AbstractThe present work attempts to estimate the impact of graphene and carbon fabric on the dynamic‐mechanical properties of epoxy nanocomposites with different weight percentages. By applying an oscillatory force to a composite, its response is measured, and by calculating the viscosity and the stiffness in relation to the temperature, time, or frequency, valuable information can be realized. It helps to identify “thermal transitions” occurring in polymers. The complex modulus shows the resistance of the composites to deformation caused by viscous and elastic effects. Though dynamic mechanical analysis (DMA) is used for the depiction of temperature‐dependent viscoelastic properties, in this investigation, the objectives were multi‐fold. It is aimed at understanding the role of carbon fabric and the incorporation of 1 wt% of graphene nanoplatelet (GNP) in the epoxy matrix, and the effect of 0.5 to 5 wt% of GNP. The dynamic mechanical properties, including storage modulus, loss modulus, and damping factor, are examined across a temperature range of 25–250°C. Based on the findings, the storage modulus of the composites exhibits a range between 2000 and 9000 MPa. Notably, the epoxy composite containing 1 wt% GNP filler demonstrates the highest storage modulus. The details of mechanisms involved in DMA measurement are schematically summarized.Highlights
Epoxy‐GNP and Epoxy‐GNP‐carbon fabric composites were fabricated.
Storage modulus of composites does not show much dependence on the GNP.
An increase in storage modulus by 05 times is observed in the ECG1 composite.
The loss modulus of EC and EG1 composite is much higher.
Does science teacher certification matter? A closer look at first‐year science teacher impacts on student outcomes in Texas
Authors: Mansell Kristin E. 
Published: January 2024

AbstractThis study examines the certification pathway of science teachers in Texas, how science teacher certification patterns have changed over time, and the association of certification pathway to student outcomes in science. This quantitative study uses administrative data from the Texas Statewide Longitudinal Data System (UH‐ERC). The UH‐ERC database includes data from the Texas Education Agency (TEA), The Higher Education Coordinating Boards (THECB), and the Texas Workforce Commission (TWC) which can be linked together to provide a cradle‐to‐workforce portrait of Texas residents. Cohorts were created of novice teachers to isolate teacher preparation rather than professional development associated with years of experience. Results indicated that teachers new to the labour market are increasingly being certified through alternative pathways, particularly in districts closer to metropolitan areas. Findings suggest that students who are taught by teachers who were prepared through an alternative pathway have lower test scores on the biology end‐of‐course State of Texas Assessment of Academic Readiness (STAAR) test than students who were taught by teachers prepared through a traditional certification pathway.
GO‐PEG Represses the Progression of Liver Inflammation via Regulating the M1/M2 Polarization of Kupffer Cells
Authors: Ding Xiaomeng , Pang Yanting , Liu Qing , Zhang Haopeng , Wu Jiawei , Lei Jialin , Zhang Ting 
Published: January 2024

AbstractAs a highly promising nanomaterial, exploring the impact of the liver, a vital organ, stands out as a crucial focus in the examination of its biological effects. Kupffer cells (KCs) are one of the first immune cells to contact with exotic‐substances in liver. Therefore, this study investigates the immunomodulatory effects and mechanisms of polyethylene glycol‐modified graphene oxide (GO‐PEG) on KCs. Initial RNA‐seq and KEGG pathway analyses reveal the inhibition of the TOLL‐like receptor, TNF‐α and NOD‐like receptor pathways in continually stimulated KCs exposed to GO‐PEG. Subsequent biological experiments validate that a 48‐hour exposure to GO‐PEG alleviates LPS‐induced KCs immune activation, characterized by a shift in polarization from M1 to M2. The underlying mechanism involves the absorption of double‐stranded RNA/single‐stranded RNA, inhibiting the activation of TLR3 and TLR7 in KCs. Employing a Kupffer/AML12 cell co‐culture model and animal studies, it is observed that GO‐PEG indirectly inhibit oxidative stress, mitochondrial dysfunction, and apoptosis in AML12 cells, partially mitigating systemic inflammation and preserving liver tissue/function. This effect is attributed to the paracrine interaction between KCs and hepatocytes. These findings suggest a meaningful and effective strategy for treating liver inflammation, particularly when combined with anti‐inflammatory drugs.