bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in catalase levels between malaria-infected individuals and uninfected controls: a systematic review and meta-analysis
Authors: Kotepui Manas , Mahittikorn Aongart , Masangkay Frederick Ramirez , Kotepui Kwuntida Uthaisar 
Published: September 2023

AbstractInconsistent catalase (CAT) research necessitates a comprehensive review of CAT levels among patients with malaria to achieve better therapeutic strategies. This study aimed to systematically review and meta-analyze available literature on CAT levels in nonpregnant and pregnant individuals with malaria compared with those in uninfected controls, with the goal of providing a robust evidence base for future research and potential interventions. Following PRISMA guidelines, a systematic literature search across six databases was conducted to examine CAT levels in patients with malaria. Data was extracted independently by two reviewers, and study quality was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklist. The standardized mean difference of CAT levels was calculated with heterogeneity assessment. Subgroup and sensitivity analyses were conducted to explore heterogeneity and assess the robustness of the findings. Publication bias was visually and statistically assessed and corrected, if necessary. Statistical analyses were performed using Stata software, with a significance level set atP < 0.05. Nineteen studies were included in the review. These studies, published from before 2000 to 2023, primarily from Africa and Asia, focused on differentPlasmodiumspecies and age groups. Results of qualitative synthesis among nonpregnant individuals consistently showed lower CAT levels in malaria-infected individuals, although some studies reported higher levels. No significant differences in CAT levels were found between malaria-infected and uninfected individuals, as demonstrated by a meta-analysis overall (P = 0.05, Hedges’ g: − 0.78, 95% confidence interval (CI): (− 1.56)–0.01, I2: 98.47, 15 studies), but subgroup analyses showed significant differences in CAT levels in studies conducted in Africa (P = 0.02, Hedges’ g: − 0.57, 95% CI: − 1.02–(0.11), I2: 91.81, 7 studies), and in studies that specifically focused on children (P = 0.03, Hedges’ g: − 0.57, 95% CI: − 1.07–(− 0.07), I2: 87.52, 4 studies). Pregnant women showed variations in CAT levels across trimesters. This study provides valuable insights into the association between malaria infection and CAT enzyme levels, particularly in nonpregnant individuals. Furthermore, well-designed studies are essential to decoding the intricacies of this relationship, which could have significant implications for understanding disease processes and improving patient care.
Parametric study and process modeling for metronidazole removal by rhombic dodecahedron ZIF-67 crystals
Authors: Mazloomi Sajad , Amarloei Ali , Gholami Faeze , Haghighat Gholam Ali , Badalians Gholikandi Gagik , Nourmoradi Heshmatollah , Mohammadi Ali Akbar , Fattahi Mehdi , Nguyen Le Binh 
Published: September 2023

AbstractMetronidazole (MNZ) is an extensively used antibiotic against bacterial infections for humans and farm animals. Prevention of antibiotics discharge is essential to prevent adverse environmental and health impacts. A member of metal–organic frameworks, zeolite imidazole framework-67 with cobalt sulfate precursor (ZIF-67-SO4) and exceptional physio-chemical properties was prepared via room temperature precipitation to adsorb MNZ. The study framework was designed by Box–Behnken Design to evaluate the effect of pH, ZIF-67-SO4 dose, and contact time on adsorption efficiency. The polynomial model fitted the adsorption system indicated the optimal condition for 97% MNZ removal occurs at pH = 7, adsorbent dosage = 1 g/L, and mixing time = 60 min. The model also revealed that the removal increased with contact time and decreased at strong pH. Equilibrium and kinetic study also indicated the adsorption of MNZ followed the intra-particle diffusion model and the Langmuir isotherm model with a qmax = 63.03 mg/g. The insignificant loss in removal efficacy in use-reuse adsorption cycles reflected the practical viability of ZIF-67-SO4.
Crack propagation analysis and fatigue life assessment of high-strength bolts based on fracture mechanics
Authors: Zhang Ping , Li Jiachun , Zhao Yu , Li Jiaxiao 
Published: September 2023

AbstractTo investigate the effect of initial cracks on the fatigue performance of high-strength bolts for high-speed train brake discs, the fatigue crack propagation behavior of high-strength bolts under the coupling action of preload and dynamic fatigue load was investigated experimentally and numerically based on the theory of linear elastic fracture mechanics. Firstly, fatigue tests of high-strength bolts with initial crack defects were carried out, and then a three-dimensional accurate numerical model with the hexahedral mesh for a bolt-nut was established by MATLAB, and the fatigue crack propagation behaviors were investigated using ABAQUS-FRANC3D interactive technology. In this paper, the effects of the initial crack state, the bolt preload, the axial excitation load, and the friction coefficient of the screw pair on crack propagation life were emphatically studied, and the simulated crack propagation trajectory and crack propagation life agreed well with the experimental results. The findings indicated that 0°-oriented cracks beginning at the maximum principal stress were predicted to have the shortest fatigue life. The crack propagation life was sensitive to the initial crack size, the coefficient of initial crack geometry, and the bolt preload, but not to the friction coefficient of the screw pair. Furthermore, when evaluating the effect of fatigue load on crack propagation, the load ratio, the mean load, and the load range should all be considered.
Enabling simultaneous valorization of tannery effluent and waste plastic via sustainable preparation of Cr-BDC MOFs for water adsorption
Authors: Delhali Achraf , Assen Ayalew H. , Mohammed Aminat , Adil Karim , Belmabkhout Youssef 
Published: September 2023

AbstractAdvanced materials undergo a complex and lengthy process of maturation for scaling up and deployment, mainly due to the high cost of their precursors. Therefore, it is highly desirable to fabricate highly valuable advanced porous solid-state materials, with proven applicability, by sustainably combining organic and inorganic waste materials as precursors. This study successfully demonstrates the preparation of Cr-terephthalate Metal–Organic Frameworks (Cr-BDC MOFs) by combining metal salt and organic linker extracted from tannery effluent and waste plastic bottles. The waste from tanneries was used as the source of Cr(III), while terephthalic acid was obtained from the alkaline hydrolysis of plastic bottles. Appropriate extraction and assembly processes led to the functional Cr-BDC MOFs, MIL-101(Cr) and MIL-53(Cr). The prepared MOFs showed similar properties (surface area, hydrolytic and thermal stability, and water adsorption performance) to similar MOFs synthesized from pure commercial-grade precursors, as confirmed by N2 sorption, XRD, TGA, and water adsorption experiments. The advancements made in this study represent significant progress in overcoming the bottleneck of MOF production cost efficiency via applying sustainability principles and pave the way for easy scaling-up and maturation of MOF-based processes, for air dehumidification and water harvesting as a case study.
Strengthening cold wakes lead to decreasing trend of tropical cyclone rainfall rates relative to background environmental rainfall rates
Authors: Ma Zhanhong , Lin Yanluan , Fei Jianfang , Zheng Yunxia , Chu Wenchao , Ye Hexin 
Published: September 2023

AbstractTropical cyclone (TC) rainfall is an important component of global precipitation. Based on a 22-year satellite-based record of observed precipitation from 1998 to 2019, we find that composite rainfall rates averaged within 500 km of TCs have increased. However, the background precipitation rate in the TC-affected regions has also increased. Therefore we find, by subtracting the background increase in precipitation rate from the TC precipitation composite, that TC precipitation rates--relative to the background--have decreased, and that TC-related extreme precipitation rates near the TC center have also decreased. Besides TC intensity and environmental sea surface temperature, the TC-induced sea surface cooling, typically formed like a cold wake feature, is indicated to be a potentially important contributor to TC rainfall changes. The cold wake diminishes the upward transport of surface enthalpy flux and leads to a decrease of moisture in the boundary layer, being unfavorable for the rainfall. The relative decreasing rainfall trend of TCs to the background is therefore attributed to the strengthening sea surface cooling induced by TCs. The TC-ocean interaction is suggested to be fully resolved in state-of-the-art global and regional climate models in order to improve TC rainfall simulations and projections.
Air quality, health and equity implications of electrifying heavy-duty vehicles
Authors: Camilleri Sara F. , Montgomery Anastasia , Visa Maxime A. , Schnell Jordan L. , Adelman Zachariah E. , Janssen Mark , Grubert Emily A. , Anenberg Susan C. , Horton Daniel E. 
Published: September 2023

AbstractHeavy-duty vehicles (HDVs) disproportionately contribute to the creation of air pollutants and emission of greenhouse gases—with marginalized populations unequally burdened by the impacts of each. Shifting to non-emitting technologies, such as electric HDVs (eHDVs), is underway; however, the associated air quality and health implications have not been resolved at equity-relevant scales. Here we use a neighbourhood-scale (~1 km) air quality model to evaluate air pollution, public health and equity implications of a 30% transition of predominantly diesel HDVs to eHDVs over the region surrounding North America’s largest freight hub, Chicago, IL. We find decreases in nitrogen dioxide (NO2) and fine particulate matter (PM2.5) concentrations but ozone (O3) increases, particularly in urban settings. Over our simulation domain NO2 and PM2.5 reductions translate to ~590 (95% confidence interval (CI) 150–900) and ~70 (95% CI 20–110) avoided premature deaths per year, respectively, while O3 increases add ~50 (95% CI 30–110) deaths per year. The largest pollutant and health benefits simulated are within communities with higher proportions of Black and Hispanic/Latino residents, highlighting the potential for eHDVs to reduce disproportionate and unjust air pollution and associated air-pollution attributable health burdens within historically marginalized populations.
Functional evolutionary convergence of long noncoding RNAs involved in embryonic development
Authors: Olazagoitia-Garmendia Ane , Senovilla-Ganzo Rodrigo , García-Moreno Fernando , Castellanos-Rubio Ainara 
Published: September 2023

AbstractLong noncoding RNAs have been identified in most vertebrates, but the functional characterization of these molecules is challenging, mainly due to the lack of linear sequence homology between species. In this work, we aimed to find functional evolutionary convergent lncRNAs involved in development by screening of k-mer content (nonlinear similarity) and secondary structure-based approaches combining in silico, in vitro and in vivo validation analysis. From the Madagascar gecko genes, we have found a non-orthologous lncRNA with a similar k-mer content and structurally concordant with the human lncRNA EVX1AS. Analysis of function-related characteristics together with locus-specific targeting of human EVX1AS and gecko EVX1AS-like (i.e., CRISPR Display) in human neuroepithelial cells and chicken mesencephalon have confirmed that gecko EVX1AS-like lncRNA mimics human EVX1AS function and induces EVX1 expression independently of the target species. Our data shows functional convergence of non-homologous lncRNAs and presents a useful approach for the definition and manipulation of lncRNA function within different model organisms.
Single-cell transcriptomes reveal a molecular link between diabetic kidney and retinal lesions
Authors: Xu Ying , Xiang Zhidan , E Weigao , Lang Yue , Huang Sijia , Qin Weisong , Yang Jingping , Chen Zhaohong , Liu Zhihong 
Published: September 2023

AbstractThe occurrence of diabetic nephropathy (DN) and diabetic retinopathy (DR) are closely associated in patients with diabetes. However, the cellular and molecular linkage of DN and DR has not been elucidated, and further revelations are needed to improve mutual prognostic decisions and management. Here, we generate and integrate single-cell RNA sequencing profiles of kidney and retina to explore the cellular and molecular association of kidney and retina in both physiological and pathological conditions. We find renal mesangial cells and retinal pericytes share molecular features and undergo similar molecular transitions under diabetes. Furthermore, we uncover that chemokine regulation shared by the two cell types is critical for the co-occurrence of DN and DR, and the chemokine score can be used for the prognosis of DN complicated with DR. These findings shed light on the mechanism of the co-occurrence of DN and DR and could improve the prevention and treatments of diabetic microvascular complications.
Increased contribution of biomass burning to haze events in Shanghai since China’s clean air actions
Authors: Fang Wenzheng , Evangeliou Nikolaos , Eckhardt Sabine , Xing Ju , Zhang Hailong , Xiao Hang , Zhao Meixun , Kim Sang-Woo 
Published: September 2023

AbstractHigh levels of East Asian black carbon (BC) aerosols affect ecological and environmental sustainability and contribute to climate warming. Nevertheless, the BC sources in China, after implementing clean air actions from 2013‒2017, are currently elusive due to a lack of observational constraints. Here we combine dual-isotope-constrained observations and chemical-transport modelling to quantify BC’s sources and geographical origins in Shanghai. Modelled BC concentrations capture the overall source trend from continental China and the outflow to the Pacific. Fossil sources dominate (~70%) BC in relatively clean summer. However, a striking increase in biomass burning (15‒30% higher in a fraction of biomass burning compared to summer and 2013/2014 winter), primarily attributable to residential emissions, largely contributes to wintertime BC (~45%) pollution. It highlights the increasing importance of residential biomass burning in the recent winter haze associated with >65% emissions from China’s central-east corridor. Our results suggest clearing the haze problem in China’s megacities and mitigating climate impact requires substantial reductions in regional residential emissions, besides reducing urban traffic and industry emissions.
Cell-intrinsic effects of clonal hematopoiesis in heart failure
Authors: Abplanalp Wesley T. , Schuhmacher Bianca , Cremer Sebastian , Merten Maximilian , Shumliakivska Mariana , Macinkovic Igor , Zeiher Andreas M. , John David , Dimmeler Stefanie 
Published: September 2023

AbstractClonal hematopoiesis of indeterminate potential (CHIP) is caused by somatic mutations in hematopoietic stem cells and associates with worse prognosis in patients with heart failure. Patients harboring CHIP mutations show enhanced inflammation. However, whether these signatures are derived from the relatively low number of cells harboring mutations or are indicators of systemic pro-inflammatory activation that is associated with CHIP is unclear. Here we assess the cell-intrinsic effects of CHIP mutant cells in patients with heart failure. Using an improved single-cell sequencing pipeline (MutDetect-Seq), we show that DNMT3A mutant monocytes, CD4+ T cells and NK cells exhibit altered gene expression profiles. While monocytes showed increased genes associated with inflammation and phagocytosis, T cells and NK cells present increased activation signatures and effector functions. Increased paracrine signaling pathways are predicted and validated between mutant and wild-type monocytes and T cells, which amplify inflammatory circuits. Altogether, these data provide novel insights into how CHIP might promote a worse prognosis in patients with heart failure.
Identification and quantification of (poly)phenol and methylxanthine metabolites in human cerebrospinal fluid: evidence of their ability to cross the BBB
Authors: Le Sayec Melanie , Carregosa Diogo , Khalifa Khadija , de Lucia Chiara , Aarsland Dag , Santos Cláudia N. , Rodriguez-Mateos Ana 
Published: September 2023

We investigated the presence of (poly)phenol and methylxanthine metabolites in plasma and cerebrospinal fluid from individuals at risk of dementia suing LC-MS and predicted their mechanism of transport across the BBB using in silico modelling.
Interprofessional Practice Between Speech-Language Pathologists and Classroom Teachers: A Mixed-Methods Systematic Review
Authors: Armstrong Rebecca , Schimke Emma , Mathew Akhila , Scarinci Nerina 
Published: September 2023

Purpose:
There is an important need for interprofessional practice (IPP) between speech-language pathologists (SLPs) and classroom teachers (CTs) in mainstream schools to support student outcomes. This mixed methods systematic review aimed to synthesize existing literature to describe the experiences of IPP between SLPs and CTs in mainstream schools.

Method:
A systematic review protocol was utilized to conduct a comprehensive search of six databases (PubMed Central, EMBASE, Cochrane Library, CINAHL EBSCO, ERIC, and ProQuest Dissertations & Theses Global) using key words related to the research question. A total of 1,876 unique studies were retrieved. Of these, 18 studies were identified as relevant to the research question, as they described the experiences of IPP between SLPs and CTs. Thematic analysis was used to analyze the quantitative and qualitative studies.

Results:
Six main themes describing IPP experiences were identified: (1) what are you bringing to the collaboration table? (2) putting the value in collaboration, (3) sharing is collaborating, (4) the nature of collaboration varies, (5) the educational context matters, and (6) influences to collaboration beyond professional control.

Conclusions:
IPP between SLPs and CTs is complex, with various facilitators and barriers to IPP emerging within the education context. Competencies for SLPs and CTs related to having a shared understanding, adequate communication, and building relationships with each other help support IPP in schools. The utilization of a relationship-centered care approach between SLPs and CTs is also important to foster and support student outcomes.

Supplemental Material:

https://doi.org/10.23641/asha.24018732
Subtract Before You Add: Toward the Development of a De-Implementation Approach in School-Based Speech Sound Therapy
Authors: Farquharson Kelly , Cabbage Kathryn L. , Reed Anne C. , Moody Mary Allison 
Published: September 2023

Purpose:
It is often difficult for school-based speech-language pathologists (SLPs) to prioritize implementing new practices for children with speech sound disorders (SSDs), given burgeoning caseloads and the myriad of other workload tasks. We propose that de-implementation science is equally as important as implementation science. De-implementation science is the recognition and identification of areas that are of “low-value and wasteful.” Critically, the idea of de-implementation suggests that we first remove something from a clinician's workload before requesting that they learn and implement something new.

Method:
Situated within the Sustainability in Healthcare by Allocating Resources Effectively (SHARE) framework, we review de-implementation science and current speech sound therapy literature to understand the mechanisms behind continuous use of practices that are no longer supported by science or legislation. We use vignettes to highlight real-life examples that clinicians may be facing in school-based settings and to provide hypothetical solutions, resources, and/or next steps to these common challenges.

Results:
By focusing on Phase 1 of the SHARE framework, we identified four primary practices that can be de-implemented to make space for new evidence-based techniques and approaches. These four practices were determined based on an in-depth review of SLP-based survey research: (a) overreliance on speech sound norms for eligibility determinations, (b) the omission of phonological processing skills within evaluations, (c) homogeneity of service delivery factors, and (d) the use of only one treatment approach for all children with SSDs.

Conclusions:
De-implementation will take work and may lead to some difficult discussions. Implementing a framework, such as SHARE, can guide SLPs toward a reduction in workloads and improved outcomes for children with SSDs.
BlockDetective: A GCN‐based student–teacher framework for blockchain anomaly detection
Authors: Li Jinglin , Zhang Yihang , Yang Chun 
Published: September 2023

AbstractThe anonymous and tamper‐proof nature of the blockchain poses significant challenges in auditing and regulating the behaviour and data on the chain. Criminal activities and anomalies are frequently changing, and fraudsters are devising new ways to evade detection. Moreover, the high volume and complexity of transactions and asymmetric errors make data classification more challenging. Also, class imbalances and high labelling costs are hindering the development of effective algorithms. In response to these issues, the authors present BlockDetective, a novel framework based on GCN that utilizes student–teacher architecture to detect fraudulent cryptocurrency transactions that are related to money laundering. The authors’ method leverages pre‐training and fine‐tuning, allowing the pre‐trained model (teacher) to adapt better to the new data distribution and enhance the prediction performance while teaching a new, light‐weight model (student) that provides abstract and top‐level information. The authors’ experimental results show that BlockDetective outperforms state‐of‐the‐art research methods by achieving top‐notch performance in detecting fraudulent transactions on the blockchain. This framework can assist regulators and auditors in detecting and preventing fraudulent activities on the blockchain, thereby promoting a more secure and transparent financial system.
An on‐chain trading model of real world asset backed digital assets
Authors: Hou Dongsheng , Ma Wenjing , Zhang Wei , Li Yixuan , Du Yu , Hao Yukun 
Published: September 2023

AbstractMetaverse is a digital value interaction network based on blockchain technology, with an important economic system component. While both traditional financial industries and crypto‐native industries have made significant progress by leveraging blockchain, the value stream of each remains limited to separate ecosystems. To bridge this gap between off‐chain and on‐chain economic systems, an on‐chain trading model was proposed using HD key derivation technique for direct uploading onto chains without going through centralized services for IoT data transmission. To improve the current status of NFTs as static assets, a token protocol binding each NFT with a unique account address was proposed. Additionally, oracle technique was leveraged with a decentralized and distributed trust model spanning across on‐chain and off‐chain components which securely pushes data between smart contracts and Web‐APIs. A decentralized trading model was developed based on smart contracts implementing automated market makers according to CFMM algorithm. Parallel transaction computing was executed based on the DAG model to ensure high operational performance and security standards of underlying blockchain. Finally, the on‐chain trading system of real world asset backed digital assets was developed integrating all the above key techniques that correspond to crucial functions of a complete economic system in Metaverse.