bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation and properties of biodegradable directional water transport composite fabrics
Authors: Yang Hui , Wang Yuxin , Fan Zihan , Jia Qingxiu , Hu Shui , Pei Guangling 
Published: June 2024

AbstractMoisture (i.e., sweat) management is essential for maintaining human physiological comfort. But conventional fabrics and moisture‐absorbent and quick‐drying fabrics cannot simultaneously possess directional water transport (DWT) functionality and environmental protection characteristics, while also causing a sticky sensation on the skin when worn. Herein, the polylactic acid (PLA) electrospun membranes were deposited on the PLA side of a double‐yarn weft‐knitted fabric (hydrophobic PLA filament and hydrophilic cotton yarn) with asymmetric wettability, and green composite fabrics with papillary structures and unidirectional moisture transport capability were obtained using hot‐press. The properties of these composite fabrics were evaluated by scanning electron microscopy, moisture management testing, dynamic scanning calorimetry, water contact angle (WCA), and water permeability. The results showed that the wettability gradient difference between the two sides of the fabric increased, enhancing the unidirectional moisture transport capability. The optimal performance composite fabric achieved an accumulative one‐way transport capacity of 1285% and an overall moisture management capacity of 0.693. Additionally, the WCA on the hydrophobic side measured 150°, remaining at 146.8° after two washes. Overall, this composite fabric strikes a balance between biodegradability and exceptional DWT performance, rendering it an environmentally friendly and recyclable choice for moisture‐wicking and quick‐drying apparel applications.Highlights
Created PLA/cotton‐knitted fabric with asymmetric wettability.
Hydrophobic PLA membrane deposited on fabric surface using electrospinning.
Green composite fabrics with excellent DWT functionality were made by hot‐press.
Best composite fabric: R‐value 1285.6%, OMMC 0.696, WCA 150°.
Best composite fabric retains WCA of 146.8° after two washes.
Utilization of MOF‐enhanced hydrophilic nanocomposite reverse osmosis membrane for desalination with antifouling capabilities
Authors: Zhang Jiaying , Soliman Aya , El‐marghany Adel , Morsy Ahmed , Mohamed Asmaa , Shehata Nader , Fadl Eman A. , Morsy Ashraf 
Published: June 2024

AbstractCellulose acetate (CA) membranes used in reverse osmosis (RO) desalination techniques often face fouling challenges. In this experimental study, the phase inversion method was employed to investigate the incorporation of graphene oxide nanoparticles (GONP) metal–organic frameworks (MOF), into the casting solution for composite CA‐RO membranes. The effects of varying GONP concentrations on fouling resistance and hydrophilicity were evaluated using scanning electron microscopy (SEM), contact angle measurements, and water content analysis. The results demonstrated that the modified CA membrane with 0.05 wt% GONP exhibited improved water permeability (10.3 L/m2 h) and salt rejection (95.8%) compared with the pristine CA membrane. These improvements stem from increased hydrophilicity and reduced fouling. This study's findings suggest that incorporating GONP into the polymeric doped solution can effectively mitigate fouling issues and enhance the performance of RO membranes in desalination applications.Highlights
GONP enhances hydrophilicity, reducing fouling in desalination.
Effects of varying GONP concentrations were studied.
GONP‐CA membrane shows better permeability and salt rejection than pristine.
Nanocomposite membranes promise in overcoming fouling in RO membranes.
Effectiveness and acceptability of remote consultation to promote positive behaviors in preschoolers
Authors: Kahan Sara , Rahill Stephanie 
Published: June 2024

AbstractOne of the roles of school psychologists is consultation, an indirect service delivery method in which the consultant (i.e., the school psychologist) supports students' academic, behavioral, and social‐emotional functioning through collaborating with teachers and parents. Conjoint Behavioral Consultation (CBC), also known as Teachers and Parents as Partners (TAPP), is unique in that teachers and parents work together during the consultation process to improve elementary, middle, and high school students' functioning. This study evaluted the effects of CBC for children in early childhood when conducted via remote delivery. A nonconcurrent multiple baseline across participants design was used to evaluate the efficacy of CBC at improving outcomes for children in early childhood at home and school. Additionally, teacher and parent acceptability of CBC and CBC provided remotely were assessed. Participants included four parent‐teacher‐student triads. Results found CBC to improve difficulties for preschool children across settings. Additionally, CBC acceptability via remote delivery was high for both parents and teachers.
Can growth mindset always promote students' math achievement? Perspectives from Chinese university students
Authors: He Guohao , Hua Tian , Liang Fang , Su Aoxue 
Published: June 2024

AbstractAlthough the growth mindset is essential to students' math achievement, its mechanism of influence remains uncertain, particularly for college students. Accordingly, this study explored the relationship between college students' growth mindset and their math achievement, as mediated by their self‐efficacy and reasoning ability. The study data were gathered by surveying 576 undergraduates taking various undergraduate programs at a Chinese university. Our results showed that (1) students' growth mindset did not directly predict their math achievement; (2) self‐efficacy mediated the relationship between students' growth mindset and their math achievement; and (3) the growth mindset affected students' math achievement through the chain‐mediation of self‐efficacy and reasoning ability. Overall, the finding that the growth mindset indirectly benefits Chinese college students' math achievement provides invaluable guidance to higher education professionals aiming to develop more effective math programs. Moreover, the mediating effects of self‐efficacy and reasoning ability were also theoretically important to better understand the potential influence mechanism of the growth mindset on college students' math achievement.
Including families in the implementation of school‐wide positive behavioral interventions and support: Dutch administrators and SWPBIS‐leadership team experiences
Authors: Willemse T. Martijn , Nelen Monique J. M. , Blonk Anita 
Published: June 2024

AbstractDespite the fact that research shows that collaboration between families and schools contribute to academic achievement, social‐emotional development and sense of well‐being of students, many schools struggle to establish family‐school partnerships. The current study explores keys to success and challenges in engaging families to the design and implementation of School Wide Positive Behavioral Interventions and Supports (SWPBIS). In a two‐step systematic assessment, consisting of an online survey (n = 27 participants) and five focus group interviews with administrators and members of SWPBIS leadership teams in schools for primary education (n = 15 participants), we found that all 27 participating schools considered partnerships and communication with parents important. However, most participating schools did not have a policy or strategic planning for engaging families, nor did they systematically evaluate their actions. Schools used one‐way approaches of communicating with parents and found it hard to adapt their communication to a diverse population of new parents and parents already familiar with SWPBIS. Schools did not communicate about what was achieved by implementing SWPBIS in their school. Including families in the SWPBIS leadership team was often considered challenging. Input from families on SWPBIS was not collected, nor did schools gather information about family's needs, (cultural) backgrounds to develop strategies for engaging families. Further research on actual school practices in engaging families is recommended.
Psychotomimetic compensation versus sensitization
Authors: Brouwer Ari , Carhart‐Harris Robin L. , Raison Charles L. 
Published: June 2024

AbstractIt is a paradox that psychotomimetic drugs can relieve symptoms that increase risk of and cooccur with psychosis, such as attention and motivational deficits (e.g., amphetamines), pain (e.g., cannabis) and symptoms of depression (e.g., psychedelics, dissociatives). We introduce the ideas of psychotomimetic compensation and psychotomimetic sensitization to explain this paradox. Psychotomimetic compensation refers to a short‐term stressor or drug‐induced compensation against stress that is facilitated by engagement of neurotransmitter/modulator systems (endocannabinoid, serotonergic, glutamatergic and dopaminergic) that mediate the effects of common psychotomimetic drugs. Psychotomimetic sensitization occurs after repeated exposure to stress and/or drugs and is evidenced by the gradual intensification and increase of psychotic‐like experiences over time. Theoretical and practical implications of this model are discussed.
Teaching an old drug new tricks: Regulatory insights for the repurposing of hemin in cardiovascular disease
Authors: Eadie Ashley L. , Simpson Jeremy A. , Brunt Keith R. 
Published: June 2024

AbstractDrug repurposing has gained significant interest in recent years due to the high costs associated with de novo drug development; however, comprehensive pharmacological information is needed for the translation of pre‐existing drugs across clinical applications. In the present study, we explore the current pharmacological understanding of the orphan drug, hemin, and identify remaining knowledge gaps with regard to hemin repurposing for the treatment of cardiovascular disease. Originally approved by the United States Food and Drug Administration in 1983 for the treatment of porphyria, hemin has attracted significant interest for therapeutic repurposing across a variety of pathophysiological conditions. Yet, the clinical translation of hemin remains limited to porphyria. Understanding hemin's pharmacological profile in health and disease strengthens our ability to treat patients effectively, identify therapeutic opportunities or limitations, and predict and prevent adverse side effects. However, requirements for the pre‐clinical and clinical characterization of biologics approved under the U.S. FDA's Orphan Drug Act in 1983 (such as hemin) differed significantly from current standards, presenting fundamental gaps in our collective understanding of hemin pharmacology as well as knowledge barriers to clinical translation for future applications. Using information extracted from the primary and regulatory literature (including documents submitted to Health Canada in support of hemin's approval for the Canadian market in 2018), we present a comprehensive case study of current knowledge related to hemin's biopharmaceutical properties, pre‐clinical/clinical pharmacokinetics, pharmacodynamics, dosing, and safety, focusing specifically on the drug's effects on heme regulation and in the context of acute myocardial infarction.
Enablers and obstacles for designing and implementing intersectoral health policies: Lessons from Mexico
Authors: Martinez‐Valle Adolfo , Figueroa‐Lara Alejandro 
Published: June 2024

AbstractBackgroundThis study analyzes how national intersectoral public policy experiences have been adopted and implemented using a Health in All Policies (HiAP) approach in the past two decades. It seeks to provide evidence on enabling factors that triggered three effective intersectoral public policies to improve population health in Mexico by improving nutritional, educational, and healthcare access conditions, reducing road traffic injuries, and addressing obesogenic feeding practices.MethodsWe followed a qualitative approach to analyze the three intersectoral public policies selected as case studies. First, we designed an analytical framework to assess how intersectoral public policies are adopted, implemented, and sustained. The proposed framework is based on peer‐reviewed articles and gray public policy literature. Second, we used information from eleven semi‐structured interviews with key stakeholders conducted in previous research to identify more specific enablers and barriers of the three intersectoral policies selected according to predefined analytical categories used in the questionnaire.ResultsThe analysis showed three overall key findings. First, sound empirical evidence is essential for adopting a HiAP approach. Second, effective intersectoral mechanisms enhance implementation feasibility. Third, results‐based monitoring and evaluation contribute to the continuity of the analyzed intersectoral public policies. Finally, political support is needed throughout the policy process to maintain governance capacity and deliver results.ConclusionWe drew five global policy lessons that may be applicable in similar public policy settings in other countries. First, both technical and political enablers help set the intersectoral agenda. Second, effective communication is instrumental in convincing all stakeholders to address public health‐related policy issues. Third, political support at the highest level possible and the federal government's capacity are essential to implement sound policies. Fourth, several enablers exist for enhancing collaboration between ministries during implementation. Finally, monitoring and evaluation results are necessary for sustaining intersectoral policies beyond administrations.
Event‐triggered stabilization for systems with an unknown control direction
Authors: Zhu Lijun , Chen Zhiyong 
Published: June 2024

AbstractIn this article, we present an event‐triggered control law for systems with an unknown control direction, where the adaptation dynamics of the Nussbaum gain are sampled. Specifically, we employ the emulation method and introduce a specific set of sampling errors. This approach enables the design of an event‐triggered law without encountering Zeno behavior. Additionally, we introduce a lemma to address the non‐integrability issue of the Nussbaum gain dynamics during the event‐triggered law design. We apply this design philosophy to co‐design both the continuous‐time controller and the event‐triggered law, aiming to achieve the global stabilization of systems with an unknown control direction. Finally, we validate the theoretical results through a numerical example.
Robust multiple fault detection and estimation approaches based on adaptive finite‐time observer for nonlinear systems
Authors: Qiu Bingzhao , Ban Mingfei , Li Xin , Liu Yiqi , Zhu Liangkuan , Song Wenlong 
Published: June 2024

AbstractThis article investigates robust multiple fault detection (FD) and fault estimation (FE) schemes, based on adaptive finite‐time observer (AFTO), applied to nonlinear systems with disturbances, actuator faults, and sensor faults. The AFTO is designed, and a parameter adaptive law is constructed to continuously optimize the residual based performance function to improve the AFTO robustness. The schemes are able to simultaneously detect and estimate unknown states, disturbances, and faults. The AFTO's design, finite‐time convergence and stability conditions are guaranteed in terms of linear matrix inequalities. Finally, simulation results, based on two typical practical systems, are given to illustrate the effectiveness of the proposed approaches. The simulation results also show that the designed AFTO can offer faster convergence speed, higher estimation accuracy, and stronger robustness than conventional observer and sliding mode observer.
Negative Thermal Expansion in ABC(MoO4)3 Compounds
Authors: Zhao Huan , Qiao Yongqiang , Zhao Kaiyue , Wang Qingjie , Zhang Peixian , Guo Juan , Chao Mingju , Liang Erjun , Gao Qilong 
Published: June 2024

AbstractNegative thermal expansion (NTE) compounds provide a solution for the mismatch of coefficients of thermal expansion in highly integrated device design. However, the current NTE compounds are rare, and how to effectively design new NTE compounds is still challenging. Here, a new concept is proposed to design NTE compounds, that is, to increase the flexibility of framework structure by expanding the space in framework structure compounds. Taking the parent compound NaZr2(PO4)3 as a case, a new NTE system AIBIICIII(MoO4)3 (A = Li, Na, K, and Rb; B = Mg and Mn; C = Sc, In, and Lu) is designed. In these compounds, the large volume of MoO4 tetrahedron is used to replace the small volume of PO4 tetrahedron in NaZr2(PO4)3 to enhance structural space and NTE performance. Simultaneously, a joint study of temperature‐dependent X‐ray diffraction, Raman spectroscopy, and the first principles calculation reveals that the NTE in AIBIICIII(MoO4)3 series compounds arise from the coupled oscillation of polyhedral. Large‐radius ions are conducive to enhancing the space and softening the framework structure to achieve the enhancement of NTE. The current strategy for designing NTE compounds is expected to be adopted in other compounds to obtain more NTE compounds.
Transformer Connections: Improving Segmentation in Blurred Near‐Infrared Blood Vessel Image in Different Depth
Authors: Wang Jiazhe , Shimizu Koichi , Yoshie Osamu 
Published: June 2024

AbstractHigh‐fidelity segmentation of blood vessels plays a pivotal role in numerous biomedical applications, such as injection assistance, cancer detection, various surgeries, and vein authentication. Near‐infrared (NIR) transillumination imaging is an effective and safe method to visualize the subcutaneous blood vessel network. However, such images are severely blurred because of the light scattering in body tissues. Inspired by the Vision Transformer model, this paper proposes a novel deep learning network known as transformer connection (TRC)‐Unet to capture global blurred and local clear correlations while using multi‐layer attention. Our method mainly consists of two blocks, thereby aiming to remap skip connection information flow and fuse different domain features. Specifically, the TRC extracts global blurred information from multiple layers and suppresses scattering to increase the clarity of vessel features. Transformer feature fusion eliminates the domain gap between the highly semantic feature maps of the convolutional neural network backbone and the adaptive self‐attention maps of TRCs. Benefiting from the long‐range dependencies of transformers, we achieved competitive results in relation to various competing methods on different data sets, including retinal vessel segmentation, simulated blur image segmentation, and real NIR blood vessel image segmentation. Moreover, our method remarkably improved the segmentation results of simulated blur image data sets and a real NIR vessel image data set. The quantitative results of ablation studies and visualizations are also reported to demonstrate the superiority of the TRC‐Unet design. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
Time to Proficiency in Young English Learners and Factors That Affect Progress
Authors: Zhang Xiaowan , Winke Paula 
Published: June 2024

AbstractWe investigated the time it takes 54,146 English learners (ELs) to attain English proficiency as they progressed from age 5 to 11 on average (Kindergarten through fifth grade in the United States). We also examine to what extent the time‐to‐proficiency estimate is affected by child‐internal and child‐external factors, including primary disability status, primary home language, home English use, instructional programming, and retention status. We used discrete‐time survival analysis to analyze the children's English growth. Survival analysis often concerns time from treatment until death: Here, “survival” is the time from EL‐program entry until “proficiency,” indicated via standardized testing. Half of the students attained proficiency in 5 years. Literacy skills (reading and writing) in general developed at slower rates than oral language skills (speaking and listening), with writing being ELs' biggest barrier to proficiency. While time to proficiency was significantly related to primary disability status, primary home language, and retention status, exposing ELs to their home language at home or at school does not have a substantial effect on their rates of English acquisition. The results are discussed for their research and practical implications.
Sex trafficking in the Caribbean: A comparative analysis of policy responses in the Dominican Republic and Trinidad and Tobago
Authors: Hem‐Lee‐Forsyth Shivaughn , Viechweg N'Diera , Estevez Eden , Walcott‐Pierre Terrisha , Wong Lauren 
Published: June 2024

AbstractHuman trafficking poses a global humanitarian and public health concern, particularly affecting women and migrants in many countries. This article assessed existing policies and laws addressing human trafficking and the sexual exploitation of women in the Caribbean nations of the Dominican Republic and Trinidad and Tobago. It identified the legislative frameworks and procedures for anti‐trafficking efforts in the Dominican Republic and Trinidad and Tobago through a comprehensive review of academic literature and policy documents. The analysis focused on evaluating the successes and challenges in implementing these policies. Findings revealed that while both countries had established anti‐trafficking laws, several structural, economic, social, and political barriers prevented effective interventions catering to the needs of vulnerable populations. Based on the analysis, recommendations were made to mitigate country and regional human trafficking, with a focus on the protection of women. Key recommendations include enhancing economic opportunities, strengthening social protections, and improving the criminal justice system's capacity to combat trafficking. A reduction in trafficking and sexual exploitation in the Dominican Republic and Trinidad and Tobago requires comprehensive policy implementation strategies aimed at protecting and supporting at‐risk native and migrant populations, providing sound economic opportunities and social protection, and strengthening effective legal responses to combat trafficking.
Innovation and AI: An Opportunity for Spanish Tourism in the Post COVID-19 Era
Authors: Torres-Penalva Aimée , Moreno-Izquierdo Luis 
Published: June 2024

AbstractThe value of innovation in economic activity is undeniable, as is the importance of tourism in the Spanish economy. However, tourism has traditionally been considered less innovative than other sectors, which has led to less attention being paid to research in this area. With the arrival of the pandemic and its destructive impact on tourism, interest in new technologies applied to the sector has reached its peak. For this reason, this paper seeks to determine whether the use of these technologies, and specifically AI, represents an opportunity for the Spanish tourism sector in the post-COVID-19 crisis. To this end, a descriptive analysis of several successful cases of the application of this technology in the sector is carried out, as well as a solution to one of the problems arising from this new situation: the use of face masks.