bluuebunny/crossref_metadata_2025_split huggingface dataset:
How disciplinary detail obscures the metacognitive potential of curriculums
Authors: Termaat Annie 
Published: July 2024

AbstractThis paper analyses five junior secondary curriculums for their emphases on metacognition. Metacognition is an emergent skill that prepares students for their inscrutable futures, where they will need to apply their knowledge strategically to complex contexts, guided by self-knowledge. Its development requires experiential pedagogies that introduce problematic knowledge, and it is difficult to measure. English, humanities, mathematics and science curriculums for students aged between 11–16 years were coded using a qualitative, deductive approach. Semantic information was ascribed to three epistemic and seven cognitive or metacognitive themes, and code totals compared for their relative emphases. All five curriculums provided pathways that could support metacognitive development, but only two, the International Baccalaureate Middle Years Programme (MYP) and the New Zealand Curriculum (NZC), explicitly recommended strategies likely to provoke the dispositions of teachers towards engaging students in complex, problematic tasks. Code totals revealed curriculum tightness. Cambridge Assessment International Education (CAIE) courses provided the greatest number of codes, but the Common Core State Standards (CC) and the Australian Curriculum (version 9) (ACv9), were similarly detailed, with up to three times as many cognitive and metacognitive references as the NZC and MYP. Although all the curriculums claimed to develop thinking skills, the three that used mandatory external assessment or benchmarking tests (CAIE, ACv9 and CC) did not offer mechanisms likely to build teacher capacity to engage their students in tasks that had intrinsic educational benefit.
Magnetic levitation-based miniaturized technologies for advanced diagnostics
Authors: Karakuzu Betul , Anil İnevi Muge , Tarim E. Alperay , Sarigil Oyku , Guzelgulgen Meltem , Kecili Seren , Cesmeli Selin , Koc Sadik , Baslar M. Semih , Oksel Karakus Ceyda , Ozcivici Engin , Tekin H. Cumhur 
Published: July 2024

AbstractTaking advantage of the magnetic gradients created using magnetic attraction and repulsion in miniaturized systems, magnetic levitation (MagLev) technology offers a unique capability to levitate, orient and spatially manipulate objects, including biological samples. MagLev systems that depend on the inherent diamagnetic properties of biological samples provide a rapid and label-free operation that can levitate objects based on their density. Density-based cellular and protein analysis based on levitation profiles holds important potential for medical diagnostics, as growing evidence categorizes density as an important variable to distinguish between healthy and disease states. The parallel processing capabilities of MagLev-based diagnostic systems and their integration with automated tools accelerates the collection of biological data. They also offer notable advantages over current diagnostic techniques that require costly and labor-intensive protocols, which may not be accessible in a low-resource setting. MagLev-based diagnostic systems are user-friendly, portable, and affordable, making remote and label-free applications possible. This review describes the recent progress in the application of MagLev principles to existing problems in the field of diagnostics and how they help discover the molecular- and cellular-level changes that accompany the disease or condition of interest. The critical parameters associated with MagLev-based diagnostic systems such as magnetic medium, magnets, sample holders, and imaging systems are discussed. The challenges and barriers that currently limit the clinical implications of MagLev-based diagnostic systems are outlined together with the potential solutions and future directions including the development of compact microfluidic systems and hybrid systems by leveraging the power of deep learning and artificial intelligence.
Neural Networks and the Nonlinear Feynman–Kac Theorem Applied to Financial Options Pricing
Authors: Moreno T. John F. , Zapata Carlos , Aragon Daniel 
Published: July 2024

AbstractThe classic financial market model proposed by Black and Scholes allows solving, under a series of simplifying assumptions, the problem of valuing financial derivatives. However, these assumptions deviate from the reality of global markets, particularly assuming perfect liquidity. In this work, a financial market model is proposed in which the illiquidity of the risky asset is stochastic, described by a mean-reversion process. The dynamics of the asset price in this context are established alongside the valuation PDE for derivatives. Additionally, as an approximation method to the solution of this PDE, the implementation of the extension of the Feynman–Kac representation theorem to the nonlinear case using deep neural networks is proposed.
A Game-Based Cognitive Intervention for Young Learners with Reading Difficulties
Authors: Yeratziotis Alexandros , Fotiadis Thomas , Achilleos Achilleas , Savvides Savvas , Mettouris Christos , Christoforou Christoforos , Arailoudi Anna , Mytides Andriana , Papadopoulos George A. , Papadopoulos Timothy C. 
Published: July 2024

AbstractThe study’s primary contribution is a game-based cognitive intervention tool for young learners with reading difficulties. The second contribution is the game designer's guide tool, which provides a set of recommended design guidelines for designers, developers and researchers that create games for children. The tools were designed and developed in the ReaDi-STANCE project and are accessible on the project’s platform (ReaDi-STANCE platform home page: https://www.cs.ucy.ac.cy/projects/readistance/). The platform has the following main modules integrated: a management support module, an algorithm module to rotate in a predefined order the games the child end-user plays, a prompting stages module to support the child end-user during gameplay, and a data analytics module that researchers can use. Two different groups of experts conducted two evaluations to evaluate: (1) a corpus of game design themes and guidelines for children, extracted from the respective literature, to develop the game designer's guide tool and (2) the extent of application of the design above guidelines in the game-based cognitive intervention tool. We present the intervention impact results and discuss their effect on improving reading skills in poor readers.
Genome-wide analysis of the family 10 plant pathogenesis-related proteins in Pyrus bretschneideri and functional analysis of PbrMLP for Colletotrichum fructicola resistance
Authors: Su Zhiyuan , Han Chenyang , Qiao Qinghai , Li Chaohui , Dong Huizhen , Wang Xin , Qi Kaijie , Xie Zhihua , Huang Xiaosan , Zhang Shaoling 
Published: June 2024

AbstractPathogenesis-related (PR) genes are key regulators of plant adaptation responses to biotic and abiotic stresses. Family 10 PRs (PR10s, also known as major latex proteins) are usually induced by pathogens and environmental stresses. However, the evolutionary trajectory and functional divergence of the PR10 gene family in Chinese white pear (Pyrus bretschneideri ‘Dangshan Suli’) remain uncharacterized. The presence of 61 PR10s was detected across six Rosaceae species. The PR10 gene family was classified into two distinct groups by employing phylogenetic analysis and the taxonomic criteria of model plants. Interspecies synchrony revealed an ancient origin of the PR10 family in the six Rosaceae species, with 18 synchronic gene pairs. The expansion and evolution of the PR10 family were driven by various types of gene duplication events, with whole-genome duplication (WGD) being the primary mechanism. A candidate Colletotrichum fructicola (C. fructicola) resistance gene Pyrusbretschneiderimajor latex-like proteins (PbrMLP) belonging to the PR10 family was screened through transcriptomics and qRT-PCR. In addition, PbrMLP-silenced pear seedlings were more sensitive to C. fructicola than the controls. These results showed that PbrMLP is a candidate gene vital for anthracnose resistance in pears. These findings offer novel insights into the molecular mechanisms underlying the resistance to pear anthracnose infection in Rosaceae species and identify potential target genes for developing disease-resistant cultivars through genetic engineering.
Venetoclax resistance in acute lymphoblastic leukemia is characterized by increased mitochondrial activity and can be overcome by co-targeting oxidative phosphorylation
Authors: Enzenmüller Stefanie , Niedermayer Alexandra , Seyfried Felix , Muench Vera , Tews Daniel , Rupp Ulrich , Tausch Eugen , Groß Alexander , Fischer-Posovszky Pamela , Walther Paul , Stilgenbauer Stephan , Kestler Hans A. , Debatin Klaus-Michael , Meyer Lüder Hinrich 
Published: July 2024

AbstractDeregulated apoptosis signaling is characteristic for many cancers and contributes to leukemogenesis and treatment failure in B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Apoptosis is controlled by different pro- and anti-apoptotic molecules. Inhibition of anti-apoptotic molecules like B-cell lymphoma 2 (BCL-2) has been developed as therapeutic strategy. Venetoclax (VEN), a selective BCL-2 inhibitor has shown clinical activity in different lymphoid malignancies and is currently evaluated in first clinical trials in BCP-ALL. However, insensitivity to VEN has been described constituting a major clinical concern. Here, we addressed and modeled VEN-resistance in BCP-ALL, investigated the underlying mechanisms in cell lines and patient-derived xenograft (PDX) samples and identified potential strategies to overcome VEN-insensitivity. Leukemia lines with VEN-specific resistance were generated in vitro and further characterized using RNA-seq analysis. Interestingly, gene sets annotated to the citric/tricarboxylic acid cycle and the respiratory electron transport chain were significantly enriched and upregulated, indicating increased mitochondrial metabolism in VEN-resistant ALL. Metabolic profiling showed sustained high mitochondrial metabolism in VEN-resistant lines as compared to control lines. Accordingly, primary PDX-ALL samples with intrinsic VEN-insensitivity showed higher oxygen consumption and ATP production rates, further highlighting that increased mitochondrial activity is a characteristic feature of VEN-resistant ALL. VEN-resistant PDX-ALL showed significant higher mitochondrial DNA content and differed in mitochondria morphology with significantly larger and elongated structures, further corroborating our finding of augmented mitochondrial metabolism upon VEN-resistance. Using Oligomycin, an inhibitor of the complex V/ATPase subunit, we found synergistic activity and apoptosis induction in VEN-resistant BCP-ALL cell lines and PDX samples, demonstrating that acquired and intrinsic VEN-insensitivity can be overcome by co-targeting BCL-2 and the OxPhos pathway. These findings of reprogrammed, high mitochondrial metabolism in VEN-resistance and synergistic activity upon co-targeting BCL-2 and oxidative phosphorylation strongly suggest further preclinical and potential clinical evaluation in VEN-resistant BCP-ALL.
The emerging role of nuclear receptor coactivator 4 in health and disease: a novel bridge between iron metabolism and immunity
Authors: Le Yue , Liu Qinjie , Yang Yi , Wu Jie 
Published: July 2024

AbstractNuclear receptor coactivator 4 (NCOA4) has recently been recognized as a selective cargo receptor of ferritinophagy participating in ferroptosis. However, NCOA4 is also a coactivator that modulates the transcriptional activity of many vital nuclear receptors. Recent novel studies have documented the role of NCOA4 in healthy and pathogenic conditions via its modulation of iron- and non-iron-dependent metabolic pathways. NCOA4 exhibits non-ferritinophagic and iron-independent features such as promoting tumorigenesis and erythropoiesis, immunomodulation, regulating autophagy, and participating in DNA replication and mitosis. Full-length human-NCOA4 is composed of 614 amino acids, of which the N-terminal (1–237) contains nuclear-receptor-binding domains, while the C-terminal (238–614) principally contains a ferritin-binding domain. The exploration of the protein structure of NCOA4 suggests that NCOA4 possesses additional significant and complex functions based on its structural domains. Intriguingly, another three isoforms of NCOA4 that are produced by alternative splicing have been identified, which may also display disparate activities in physiological and pathological processes. Thus, NCOA4 has become an important bridge that encompasses interactions between immunity and metabolism. In this review, we outline the latest advances in the important regulating mechanisms underlying NCOA4 actions in health and disease conditions, providing insights into potential therapeutic interventions.
Acceleration-induced spectral beats in strongly driven harmonic oscillators
Authors: Kuznetsov A. S. , Biermann K. , Santos P. V. 
Published: July 2024

AbstractThe harmonic modulation of coherent systems gives rise to a wealth of physical phenomena, e.g., the AC-Stark effect and Mollow triplets, with important implications for coherent control and frequency conversion. Here, we demonstrate a novel regime of temporal coherence in oscillators harmonically driven at extreme energy modulation amplitudes relative to the modulation quantum. The studies were carried out by modulating a confined exciton-polariton Bose-Einstein condensate (BEC) by an acoustic wave. Features of the new regime are the appearance, in the spectral domain, of a comb of resonances termed acceleration beats with energy spacing tunable by the modulation amplitude and, in the time domain, of temporal correlations at time scales much shorter than the acoustic period, which also depend on the modulation amplitude. These features are quantitatively accounted for by a theoretical framework, which associates the beats with accelerated energy-change rates during the harmonic cycle. These observations are underpinned by the high sensitivity of the BEC energy to the acoustic driving, which simultaneously preserves the BEC’s temporal coherence. The acceleration beats are a general feature associated with accelerated energy changes: analogous features are thus also expected to appear under highly accelerated motion e.g., in connection with Cherenkov and Hawking radiation.
Molecular insights into Sertoli cell function: how do metabolic disorders in childhood and adolescence affect spermatogonial fate?
Authors: Cannarella Rossella , Curto Roberto , Condorelli Rosita A. , Lundy Scott D. , La Vignera Sandro , Calogero Aldo E. 
Published: July 2024

AbstractMale infertility is a major public health concern globally with unknown etiology in approximately half of cases. The decline in total sperm count over the past four decades and the parallel increase in childhood obesity may suggest an association between these two conditions. Here, we review the molecular mechanisms through which obesity during childhood and adolescence may impair future testicular function. Several mechanisms occurring in obesity can interfere with the delicate metabolic processes taking place at the testicular level during childhood and adolescence, providing the molecular substrate to hypothesize a causal relationship between childhood obesity and the risk of low sperm counts in adulthood.
Multi-omic characterization of allele-specific regulatory variation in hybrid pigs
Authors: Quan Jianping , Yang Ming , Wang Xingwang , Cai Gengyuan , Ding Rongrong , Zhuang Zhanwei , Zhou Shenping , Tan Suxu , Ruan Donglin , Wu Jiajin , Zheng Enqin , Zhang Zebin , Liu Langqing , Meng Fanming , Wu Jie , Xu Cineng , Qiu Yibin , Wang Shiyuan , Lin Meng , Li Shaoyun , Ye Yong , Zhou Fuchen , Lin Danyang , Li Xuehua , Deng Shaoxiong , Zhang Yuling , Yao Zekai , Gao Xin , Yang Yingshan , Liu Yiyi , Zhan Yuexin , Liu Zhihong , Zhang Jiaming , Ma Fucai , Yang Jifei , Chen Qiaoer , Yang Jisheng , Ye Jian , Dong Linsong , Gu Ting , Huang Sixiu , Xu Zheng , Li Zicong , Yang Jie , Huang Wen , Wu Zhenfang 
Published: July 2024

AbstractHybrid mapping is a powerful approach to efficiently identify and characterize genes regulated through mechanisms in cis. In this study, using reciprocal crosses of the phenotypically divergent Duroc and Lulai pig breeds, we perform a comprehensive multi-omic characterization of regulatory variation across the brain, liver, muscle, and placenta through four developmental stages. We produce one of the largest multi-omic datasets in pigs to date, including 16 whole genome sequenced individuals, as well as 48 whole genome bisulfite sequencing, 168 ATAC-Seq and 168 RNA-Seq samples. We develop a read count-based method to reliably assess allele-specific methylation, chromatin accessibility, and RNA expression. We show that tissue specificity was much stronger than developmental stage specificity in all of DNA methylation, chromatin accessibility, and gene expression. We identify 573 genes showing allele specific expression, including those influenced by parent-of-origin as well as allele genotype effects. We integrate methylation, chromatin accessibility, and gene expression data to show that allele specific expression can be explained in great part by allele specific methylation and/or chromatin accessibility. This study provides a comprehensive characterization of regulatory variation across multiple tissues and developmental stages in pigs.
Liquid-liquid reactions performed by cellular reactors
Authors: Cao Jinzhe , Tao Shengyang 
Published: July 2024

AbstractLiquid-liquid reactions play a significant role in organic synthesis. However, control of the phase interface between incompatible two-phase liquids remains challenging. Moreover, separating liquid acid, base and oxidants from the reactor takes a long time and high cost. To address these issues, we draw inspiration from the structure and function of cells in living organisms and develop a biomimetic 3D-printed cellular reactor. The cellular reactor houses an aqueous phase containing the catalyst or oxidant while immersed in the organic phase reactant. This setup controls the distribution of the phase interface within the organic phase and increases the interface area by 2.3 times. Notably, the cellular reactor and the aqueous phase are removed from the organic phase upon completing the reaction, eliminating additional separation steps and preventing direct contact between the reactor and acidic, alkaline, or oxidizing substances. Furthermore, the cellular reactor offers the advantages of digital design feasibility and cost-effective manufacturing.
Metaproteomics-informed stoichiometric modeling reveals the responses of wetland microbial communities to oxygen and sulfate exposure
Authors: Wang Dongyu , Candry Pieter , Hunt Kristopher A. , Flinkstrom Zachary , Shi Zheng , Liu Yunlong , Wofford Neil Q. , McInerney Michael J. , Tanner Ralph S. , De Leόn Kara B. , Zhou Jizhong , Winkler Mari-Karoliina H. , Stahl David A. , Pan Chongle 
Published: July 2024

AbstractClimate changes significantly impact greenhouse gas emissions from wetland soil. Specifically, wetland soil may be exposed to oxygen (O2) during droughts, or to sulfate (SO42-) as a result of sea level rise. How these stressors – separately and together – impact microbial food webs driving carbon cycling in the wetlands is still not understood. To investigate this, we integrated geochemical analysis, proteogenomics, and stoichiometric modeling to characterize the impact of elevated SO42- and O2 levels on microbial methane (CH4) and carbon dioxide (CO2) emissions. The results uncovered the adaptive responses of this community to changes in SO42- and O2 availability and identified altered microbial guilds and metabolic processes driving CH4 and CO2 emissions. Elevated SO42- reduced CH4 emissions, with hydrogenotrophic methanogenesis more suppressed than acetoclastic. Elevated O2 shifted the greenhouse gas emissions from CH4 to CO2. The metabolic effects of combined SO42- and O2 exposures on CH4 and CO2 emissions were similar to those of O2 exposure alone. The reduction in CH4 emission by increased SO42- and O2 was much greater than the concomitant increase in CO2 emission. Thus, greater SO42- and O2 exposure in wetlands is expected to reduce the aggregate warming effect of CH4 and CO2. Metaproteomics and stoichiometric modeling revealed a unique subnetwork involving carbon metabolism that converts lactate and SO42- to produce acetate, H2S, and CO2 when SO42- is elevated under oxic conditions. This study provides greater quantitative resolution of key metabolic processes necessary for the prediction of CH4 and CO2 emissions from wetlands under future climate scenarios.
A new network model for multiple object detection for autonomous vehicle detection in mining environment
Authors: Hanif Muhammad Wahab , Yu Zhenhua , Bashir Rehmat , Li Zhanli , Farooq Sardar Annes , Sana Muhammad Usman 
Published: June 2024

AbstractConsidering the challenges of low multi‐object detection accuracy and difficulty in identifying small targets caused by challenging environmental conditions including irregular lighting patterns and ambient noise levels in the mining environment with autonomous electric locomotives. A new network model based on SOD−YOLOv5s−4L has been proposed to detect multi‐objects for autonomous electric locomotives in underground coal mines. Improvements have been applied in YOLOv5s to construct the SOD−YOLOv5s−4L model, by introducing the SIoU loss function to address the mismatch between real and predicted bounding box directions, facilitating the model to learn target position information more efficiently. This research introduces a decoupled head to enhance feature fusion and improve the positioning precision of the network model, enabling rapid capture of multi‐scale target features. Furthermore, the detection capability of the model has been increased by introducing the small target detection layer which is developed by increasing the number of detection layers from three to four. The experimental results on multiple object detection dataset show that the proposed model achieves significant improvement in mean average precision (mAP) of almost 98% for various types of targets and an average precision (AP) of nearly 99% for small targets on the other hand it achieves 5.19% (mAP) and 9.79% (AP) compared to the YOLOv5s model. Furthermore, comparative analysis with other models like YOLOv7 and YOLOv8 shows that the proposed model has superior performance in terms of object detection.
One-Pot Assembly of Octasaccharide Motif from Cranberry Arabinoxyloglucan Oligosaccharides
Authors: Xiao Guozhi , Wan Jie 
Published: June 2024

AbstractChemical synthesis of octasaccharide motif from cranberry arabinoxyloglucan oligosaccharides with antiadhesion activities has been achieved for the first time. Synthetic approach highlights the following features: 1) stereoselective constructions of 1,2-cis-Xyl bonds via the combination of reagent modulation and remote participation; 2) modular [1+3+1+3] orthogonal one-pot assembly of the target octasaccharide on the basis of glycosyl ortho-(1-phenylvinyl)benzoate, which avoids the issues such as aglycone transfer associated with one-pot glycosylation based on thioglycosides.