bluuebunny/crossref_metadata_2025 huggingface dataset:
Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study
Authors: Castrillón-Santana Modesto , Sánchez-Nielsen Elena , Freire-Obregón David , Santana Oliverio J. , Hernández-Sosa Daniel , Lorenzo-Navarro Javier
Published: June 2024

Pedestrian Attribute Recognition (PAR) poses a significant challenge in developing automatic systems that enhance visual surveillance and human interaction. In this study, we investigate using Visual Question Answering (VQA) models to address the zero-shot PAR problem. Inspired by the impressive results achieved by a zero-shot VQA strategy during the PAR Contest at the 20th International Conference on Computer Analysis of Images and Patterns in 2023, we conducted a comparative study across three state-of-the-art VQA models, two of them based on BLIP-2 and the third one based on the Plug-and-Play VQA framework. Our analysis focuses on performance, robustness, contextual question handling, processing time, and classification errors. Our findings demonstrate that both BLIP-2-based models are better suited for PAR, with nuances related to the adopted frozen Large Language Model. Specifically, the Open Pre-trained Transformers based model performs well in benchmark color estimation tasks, while FLANT5XL provides better results for the considered binary tasks. In summary, zero-shot PAR based on VQA models offers highly competitive results, with the advantage of avoiding training costs associated with multipurpose classifiers.
Piloting Systematic Implementation of Educational Technology in Swedish K-12 Schools – Two-Years-In Report
Authors: Nordmark Susanna , Augustsson Hanna , Davidsson Mattias , Andersson-Gidlund Tobias , Holmberg Kristina , Mohseni Zeynab , Rack John , Masiello Italo
Published: June 2024

Halfway through a four-year research project supported by implementation science and the Active Implementation Frameworks (AIF), this article reports on the status of the initial two implementation stages. Our research investigates the impact of systematically preparing educators and educational institutions to integrate digital learning materials and learning analytics dashboards to enrich teaching practices and improve student performance outcomes.

Furthermore, it seeks to establish a foundation for the use of innovative and validated educational technology (EdTech) through sustainable implementation strategies, evidence-based evaluation, and continuous redesign of digital learning materials. By adopting this comprehensive approach, we aim to enhance the knowledge base regarding effective digital innovation integration within educational environments.

We argue that applying implementation science in educational settings facilitates the adoption of effective innovations, promotes evidence-based decision-making, and helps identify and address obstacles to change. Our ongoing research underscores the transformative impact of implementation science in education. Thus far, we have highlighted the crucial role of teacher perspectives and the necessity of co-designing technology aligned with teaching and learning objectives.

This nuanced approach refutes the notion of a one-size-fits-all solution or a quick fix achievable in a single academic year. Instead, it advocates a dynamic, collaborative model that acknowledges the multifaceted nature of implementation. Our journey has reaffirmed the dedication of teachers, showcasing their readiness to invest time and effort when their professionalism is respected, and their input is genuinely valued and acted upon.
Judicial leadership matters (yet again): the association between judge and public trust for artificial intelligence in courts
Authors: Fine Anna , Marsh Shawn
Published: June 2024

Artificial intelligence (AI) is rapidly expanding in myriad industries and systems. This study sought to investigate public trust in using AI in the criminal court process. While previous research has identified factors that influence trust in AI, such as perceived accuracy and transparency of algorithms, less is known about the role of influential leaders—such as judges—in shaping public trust in new technology. This study examined the relationship between locus of control, anthropomorphism, cultural values, and perceived trust in AI. Participants completed a survey assessing their perceptions of trust in AI in determining bail eligibility, bail fines and fees, sentencing length, sentencing fines and fees, and writing legal documents (e.g., findings and disposition). Participants were more likely to trust AI performing financial calculations rather than determining bail eligibility, sentence length, or drafting legal documents. Participants’ comfort with AI in decision-making also depended on their perceptions of judges’ trust in AI, and they expressed concerns about AI perpetuating bias and the need for extensive testing to ensure accuracy. Interestingly, no significant association was found with other participant characteristics (e.g., locus of control, anthropomorphism, or cultural values). This study contributes to the literature by highlighting the role of judges as influential leaders in shaping public trust in AI and examining the influence of individual differences on trust in AI. The findings also help inform the development of recommended practices and ethical guidelines for the responsible use of AI in the courts.
Simulating urban energy use under climate change scenarios and retrofit plans in coastal Texas
Authors: Zhu Chunwu , Ye Xinyue , Du Jiaxin , Hu Zhiheng , Shen Yang , Retchless David
Published: June 2024

Rapid urbanization, climate change, and aging infrastructure pose significant challenges to achieving sustainability and resilience goals in urban building energy use. Although retrofitting offers a viable solution to mitigate building energy use, there has been limited analysis of its effects under various weather conditions associated with climate change in urban building energy use simulations. Moreover, certain parameters in energy simulations necessitate extensive auditing or survey work, which is often impractical. This research proposes a framework that integrates various datasets, including building footprints, Lidar data, property appraisals, and street view images, to conduct neighborhood-scale building energy use analysis using the Urban Modeling Interface (UMI), an Urban Building Energy Model (UBEM), in a coastal neighborhood in Galveston, Texas. Seven retrofit plans and three weather conditions are considered in the scenarios of building energy use. The results show that decreasing the U-value of building envelopes helps reduce energy use, while increasing the U-value leads to higher energy consumption in the Galveston neighborhood. This finding provides direction for coastal Texas cities, like Galveston, to update building standards and implement retrofit measures.
Beyond the surface: a scoping review of vision-based underwater experience technologies and user studies
Authors: Hagen Oksana , Aly Amir , Jones Ray , Varga Marius , Bazazian Dena
Published: June 2024

Exploring the underwater world presents significant physical and financial barriers. Telepresence technologies offer a potential solution by a providing a more accessible version of an underwater experience. Our research involved a scoping review to consolidate previous findings on vision-based technologies that aim to recreate underwater experiences and their user evaluations. We searched 5 academic databases for papers describing or evaluating technologies providing visual underwater experiences without actual submersion. We systematically searched YouTube to include immersive experiences not documented in academic publications. Our review included 45 academic papers and 23 YouTube videos classified by their level of ‘reality’, ‘degrees of freedom’, and presence of interactive elements. The technologies reviewed included virtual reality, 360$$^{\circ }$$

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video and imaging, augmented and mixed reality, head-mounted displays, mobile devices, cameras, sensors, remotely operated vehicles (ROVs), and games. Half of the selected papers featured user evaluations (with sample sizes ranging from 5 to 1006 participant); these methods included interviews, performance tracking, and questionnaires. We identified six main application areas for these technologies: (i) general environmental awareness, (ii) formal education about marine life, (iii) therapeutic interventions, (iv) access to underwater heritage sites, (v) ROV teleoperation and simulations, and (vi) entertainment. Immersive technologies, such as head-mounted displays and augmented reality, were prevalent across all application categories, though their usability varied. Cost considerations were also diverse, with costs ranging from expensive ROVs and simulated environments to cheaper 360$$^{\circ }$$

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videos. Our findings indicate a need for more robust user studies, including long-term research and comparisons among real-time, pre-recorded, and simulated experiences. A better understanding of entertainment-driven applications could benefit education, environmental conservation, and healthcare. The findings of the scoping review are discussed with respect to the technologies identified and the corresponding user studies.
Association of red cell distribution width (RDW) with positive blood culture of neonatal sepsis in Khartoum state, Sudan
Authors: Mohamed Osama Abdalla Abdelmagid , Seedahmed Sahar Mohammed , Idris Alkhair Abd Almahmoud
Published: June 2024

Background

The red cell distribution width (RDW) was higher among neonates with early onset neonatal sepsis. The study aimed to determine the red cell distribution width (RDW) with positive blood culture of early onset neonatal sepsis. This was a descriptive laboratory-based study, conducted during the period from January to September 2023, done on a total of 244 blood sample containers, tested for Complete Blood Count (CBC) tests and blood culture for who were diagnosed as early onset neonatal sepsis.

Results

In this study (244) neonates were diagnosed as blood culture proven neonatal sepsis, The study showed that the cultured organism was isolated as following: 95 were Staphylococcus aureus, 70 were Candida Spp, 28 were Pseudomonas ssp, then 27 were Klebsiella ssp, 16 were Escherichia coli, after that 6 were Enterococcus feacalis and finally 2 were Listeria monocytogenes, and the RDW in this study was significantly higher in neonatal sepsis with average range (20 ± 2.5%).

Conclusions

The study concluded that RDW at levels more than or equal to 17% was the most sensitive hematological marker to predict mortality of neonatal sepsis.
Changes in Soil Carbon and Nitrogen Along a 3‐m Vertical Profile and Environmental Regulation in Alpine Grassland on the Tibetan Plateau
Authors: Sun Ruojun , Sun Kuo , Liu Leren , Wu Wenjuan , Xu Zhenzhu
Published: June 2024

Much attention has been given to the distribution of soil organic carbon and nitrogen in alpine grasslands, but the important role of the deep soil layers has been understudied. In this study, the soil organic carbon and nitrogen contents in the shallow (0–30 cm), middle (30–100 cm) and deep (100–300 cm) layers were examined, and the effects of climatic, soil and vegetation factors were investigated along a climatic gradient on the Tibetan Plateau. We found that although soil organic carbon and nitrogen on the Tibetan Plateau declined logarithmically with depth, the total soil organic carbon and nitrogen in the middle and deep layers accounted for more than two‐thirds of the total carbon and nitrogen in the 3‐m depth soil profile. Carbon to nitrogen ratio increased with soil depth in 1 m soil, but it remained consistent in 1–3 m soil. The surface carbon and nitrogen contents were positively correlated with precipitation. The comprehensive research has revealed that soil carbon and nitrogen contents are mainly influenced by the local humid climate, vegetation productivity, and soil properties, which strongly depend on soil depth. Therefore, more attention should be given to the changes in carbon and nitrogen in deep soils in alpine regions.
Modifications to the CLASS Boundary Layer Model for Improved Interaction Between the Mixed Layer and Clouds
Authors: Ryu Kyoungho , Salvucci Guido
Published: June 2024

The impact of clouds on the mixed layer (ML) is critical for understanding the evolution of boundary layer humidity and temperature over the course of a day. We found that accounting for moistening of the cloud layer (CL) by humidity originating in the ML dramatically alters the interaction between the ML and the CL in a one‐dimensional cloud‐topped boundary layer model: Chemistry Land‐surface Atmosphere Soil Slab (CLASS) (Vilà‐Guerau de Arellano et al., 2015, https://doi.org/10.1017/CBO9781316117422). We demonstrate that enabling CLASS to moisten the lower CL improves the prediction of humidity (and the flux of humidity) both above and below the ML top (h). To account for this moistening, we propose a length scale, L, above h, over which mixing of mass fluxes into the environment occurs. The mass fluxes are assumed to decrease linearly from h to a height L meters above h, analogous to a convective plume detraining into the environment at a height‐independent rate. Accounting for this process is accomplished by modifying the differential equations representing the growth of the jumps (sharp changes in humidity and temperature) at h. From analysis of a large number of diurnal Large Eddy simulations (covering approximately 11,000 different early morning initial conditions), we provide a regression model for parameterizing L from early morning weather variables. With the regression‐based estimate of L, the modified model (CLASS‐L) accounts for moistening the lower CL, and as a result, yields improved humidity dynamics, humidity flux profiles, and cloud growth under a broad range of conditions.
Biocrusts Critical Regulation of Soil Water Vapor Transport (Diffusion, Sorption, and Late‐Stage Evaporation) in Drylands
Authors: Sun Fuhai , Xiao Bo , Kidron Giora J. , Heitman Joshua
Published: June 2024

Soil surface cover is one of the most critical factors affecting soil water vapor transport, especially in drylands where water is limited, and the water movement occurs predominantly in the form of vapor instead of liquid. Biocrusts are an important living ground cover of dryland soils and play a vital role in modifying near‐surface soil properties and maintaining soil structure. The role of biocrusts in mediating soil water vapor transport during daytime water evaporation and nighttime condensation remains unclear. We investigated the differences in vapor diffusion properties, vapor adsorption capacity, and water evaporation between bare soil and three types of biocrusts (cyanobacterial, cyanobacterial‐moss mixed, and moss crusts) in the Chinese Loess Plateau. Our results showed that the three types of biocrusts had 5%–39% higher vapor diffusivity than bare soil. At the same level of ambient relative humidity and temperature, the initial vapor adsorption rates and cumulative adsorption amounts of the biocrusts were 10%–70% and 11%–85% higher than those of bare soil, respectively. Additionally, the late‐stage evaporation rate of cyanobacterial‐, cyanobacterial‐moss mixed‐, and moss‐biocrusts were 31%–217%, 79%–492%, and 146%–775% higher than that of bare soil, respectively. The effect of biocrusts on increasing vapor transport properties was attributed to the higher soil porosity, clay content, and specific surface area induced by the biocrust layer. All of these modifications caused by biocrusts on surface soil vapor transport properties suggest that biocrusts play a vital role in reshaping surface soil water and energy balance in drylands.
Satellite‐Derived Bathymetry in Dynamic Coastal Geomorphological Environments Through Machine Learning Algorithms
Authors: Ashphaq Mohammad , Srivastava Pankaj K. , Mitra D.
Published: June 2024

In the field of coastal geomorphology, advancements in space technology have revolutionized coastal mapping and understanding. Satellite‐derived bathymetry (SDB) research has progressed, focusing on various estimation methods using high‐resolution satellite imagery and in‐situ data. Challenges arise when applying these methods to the Indian coastline due to its turbid waters and intricate features such as creeks and deltas, laden with sediment and submerged rocks. A study aims to assess multivariate machine learning (ML) regression techniques for estimating bathymetric data. The study employs ground‐truth data and imagery from Aster, Landsat‐8, and Sentinel‐2 at distinct sites known for complex underwater landscapes. Several algorithms including Multiple Linear Regression, Support Vector Regressor, Gaussian Process Regression (GPR), Decision Tree Regression, K‐Neighbors Regressor, k‐fold cross‐validation with Decision Tree Regression, and Random Forest (RF) are evaluated for SDB. Results from the Vengurla Site show that using the Landsat‐8 data set with the GPR algorithm achieves R2 0.94, root mean squared error (RMSE) 1.53 m, and MAE 1.14 m, utilizing visible spectrum bands. At Mormugao, the Sentinel‐2 data set with GPR and RF algorithms attains R2 0.97 and RMSE 1.23 m, with GPR outperforming RF, having an MAE of 1.05 m compared to RF's 1.22 m. This study underscores the potential of ML regression techniques in overcoming challenges with using SDB for mapping coastal geomorphology, particularly in intricate underwater terrains and turbid waters by assimilating sophisticated algorithms and their refined cartographic representation.
Antarctic Polar Stratospheric Cloud Analysis of ACE‐FTS Data From 2005 to 2023
Authors: Lecours M. , Boone C. D. , Bernath P. F.
Published: June 2024

We present an analysis of Antarctic polar winters from 2005 to 2023 as observed by the Atmospheric Chemistry Experiment (ACE). The unique broad band infrared spectral features in ACE “residual” spectra are used to classify the spectra of polar aerosols by composition into polar stratospheric clouds (PSCs) and sulfate aerosols. The spectra of PSCs are further classified into nitric acid trihydrate, supercooled ternary solutions, supercooled nitric acid, ice‐mix, and mixtures of PSCs. A breakdown of PSC composition is presented for each year. Antarctic winter seasons with unusual compositions are: 2011, in which volcanic ash mixed with PSCs was observed from July to August; 2019, which experienced a stratospheric warming event; 2020, the PSC season following the Australian Black Summer pyrocumulonimbus event; and 2023, which had unusually large sulfate aerosols following the Honga‐Tonga Honga Ha'apai eruption of 2022.
Freezing‐Thawing Hysteretic Behavior of Soils
Authors: Teng Jidong , Dong Antai , Zhang Sheng , Zhang Xiong , Sheng Daichao
Published: June 2024

The soil freezing characteristic curve (SFCC) plays a crucial role in investigating the soil freezing‐thawing process. Due to the challenges associated with measuring the SFCC, there is a shortage of high‐quality or rigorous test results with sufficient metadata to be effectively used for applications. Current researchers typically conduct freezing tests to measure the SFCC and assume a singular SFCC when studying the freezing‐thawing process of soils, although limited studies indicated that there is a hysteresis during the freezing and thawing process. In this paper, a series of freezing‐thawing tests were performed to assess the SFCC, utilizing a precise nuclear magnetic resonance apparatus. The test results reveal a hysteresis between the SFCC obtained from the freezing process and that from the thawing process. Through analyzing the test results, the hysteresis mechanism of the SFCC is attributed to supercooling. Supercooling inhibits initial pore ice formation during freezing, causing a drastic liquid water‐ice phase change once supercooling ends. Despite being considered closely related, the hysteresis of the SFCC differs from the soil water characteristic curve (SWCC), and the models used to simulate the hysteresis of SWCC cannot directly be used. To address the impact of supercooling on soil freezing‐thawing hysteresis, a novel theoretical model is proposed. Comparisons between the measured and predicted results affirm the validity of the proposed model.
Humanin activates integrin αV–TGFβ axis and leads to glioblastoma progression
Authors: Ha Cuong P. , Hua Tuyen N. M. , Vo Vu. T. A. , Om Jiyeon , Han Sangwon , Cha Seung-Kuy , Park Kyu-Sang , Jeong Yangsik
Published: June 2024

The role of mitochondria peptides in the spreading of glioblastoma remains poorly understood. In this study, we investigated the mechanism underlying intracranial glioblastoma progression. Our findings demonstrate that the mitochondria-derived peptide, humanin, plays a significant role in enhancing glioblastoma progression through the intratumoral activation of the integrin alpha V (ITGAV)–TGF beta (TGFβ) signaling axis. In glioblastoma tissues, humanin showed a significant upregulation in the tumor area compared to the corresponding normal region. Utilizing multiple in vitro pharmacological and genetic approaches, we observed that humanin activates the ITGAV pathway, leading to cellular attachment and filopodia formation. This process aids the subsequent migration and invasion of attached glioblastoma cells through intracellular TGFβR signaling activation. In addition, our in vivo orthotopic glioblastoma model provides further support for the pro-tumoral function of humanin. We observed a correlation between poor survival and aggressive invasiveness in the humanin-treated group, with noticeable tumor protrusions and induced angiogenesis compared to the control. Intriguingly, the in vivo effect of humanin on glioblastoma was significantly reduced by the treatment of TGFBR1 inhibitor. To strengthen these findings, public database analysis revealed a significant association between genes in the ITGAV–TGFβR axis and poor prognosis in glioblastoma patients. These results collectively highlight humanin as a pro-tumoral factor, making it a promising biological target for treating glioblastoma.
S100A8/A9hi neutrophils induce mitochondrial dysfunction and PANoptosis in endothelial cells via mitochondrial complex I deficiency during sepsis
Authors: Wang Yanghanzhao , Shi Yuxin , Shao Yuwen , Lu Xihua , Zhang Hao , Miao Changhong
Published: June 2024

S100a8/a9, largely released by polymorphonuclear neutrophils (PMNs), belongs to the S100 family of calcium-binding proteins and plays a role in a variety of inflammatory diseases. Although S100a8/a9 has been reported to trigger endothelial cell apoptosis, the mechanisms of S100a8/a9-induced endothelial dysfunction during sepsis require in-depth research. We demonstrate that high expression levels of S100a8/a9 suppress Ndufa3 expression in mitochondrial complex I via downregulation of Nrf1 expression. Mitochondrial complex I deficiency contributes to NAD+-dependent Sirt1 suppression, which induces mitochondrial disorders, including excessive fission and blocked mitophagy, and mtDNA released from damaged mitochondria ultimately activates ZBP1-mediated PANoptosis in endothelial cells. Moreover, based on comprehensive scRNA-seq and bulk RNA-seq analyses, S100A8/A9hi neutrophils are closely associated with the circulating endothelial cell count (a useful marker of endothelial damage), and S100A8 is an independent risk factor for poor prognosis in sepsis patients.
Promotion of stem cell-like phenotype of lung adenocarcinoma by FAM83A via stabilization of ErbB2
Authors: Yuan Ye , Hao Liang , Huang Jing-Shan , Zhao Fu-Ying , Ju Ying-Hua , Wang Jia-Mei , Zhang Ting , Li Bai-Qiang , Yu Zhan-Wu
Published: June 2024

Lung cancer stands as the leading cause of mortality among all types of tumors, with over 40% of cases being lung adenocarcinoma (LUAD). Family with sequence similarity 83 member A (FAM83A) emerges as a notable focus due to its frequent overexpression in LUAD. Despite this, the precise role of FAM83A remains elusive. This study addresses this gap by unveiling the crucial involvement of FAM83A in maintaining the cancer stem cell-like (CSC-like) phenotype of LUAD. Through a global proteomics analysis, the study identifies human epidermal growth factor receptor 2 (HER2 or ErbB2) as a crucial target of FAM83A. Mechanistically, FAM83A facilitated ErbB2 expression at the posttranslational modification level via the E3 ubiquitin ligase STUB1 (STIP1-homologous U-Box containing protein 1). More importantly, the interaction between FAM83A and ErbB2 at Arg241 promotes calcineurin (CALN)-mediated dephosphorylation of ErbB2, followed by inhibition of STUB1-mediated ubiquitin-proteasomal ErbB2 degradation. The maintenance of the CSC-like phenotype by FAM83A, achieved through the posttranslational regulation of ErbB2, offers valuable insights for identifying potential therapeutic targets for LUAD.
Oligomerization regulates the interaction of Gemin5 with members of the SMN complex and the translation machinery
Authors: Francisco-Velilla Rosario , Abellan Salvador , Embarc-Buh Azman , Martinez-Salas Encarnacion
Published: June 2024

RNA-binding proteins are multifunctional molecules impacting on multiple steps of gene regulation. Gemin5 was initially identified as a member of the survival of motor neurons (SMN) complex. The protein is organized in structural and functional domains, including a WD40 repeats domain at the N-terminal region, a tetratricopeptide repeat (TPR) dimerization module at the central region, and a non-canonical RNA-binding site at the C-terminal end. The TPR module allows the recruitment of the endogenous Gemin5 protein in living cells and the assembly of a dimer in vitro. However, the biological relevance of Gemin5 oligomerization is not known. Here we interrogated the Gemin5 interactome focusing on oligomerization-dependent or independent regions. We show that the interactors associated with oligomerization-proficient domains were primarily annotated to ribosome, splicing, translation regulation, SMN complex, and RNA stability. The presence of distinct Gemin5 protein regions in polysomes highlighted differences in translation regulation based on their oligomerization capacity. Furthermore, the association with native ribosomes and negative regulation of translation was strictly dependent on both the WD40 repeats domain and the TPR dimerization moiety, while binding with the majority of the interacting proteins, including SMN, Gemin2, and Gemin4, was determined by the dimerization module. The loss of oligomerization did not perturb the predominant cytoplasmic localization of Gemin5, reinforcing the cytoplasmic functions of this essential protein. Our work highlights a distinctive role of the Gemin5 domains for its functions in the interaction with members of the SMN complex, ribosome association, and RBP interactome.
A pan-KRAS degrader for the treatment of KRAS-mutant cancers
Authors: Yang Jie , Wang Qiao-Li , Wang Guan-Nan , Ye Jia-Cong , Li Zi-Qian , Wang Jing-Yun , Liang Zhao-Hui , Li Shu-Xin , Sun Cong , Liao Wen-Ting , Gao Yi-Jun , Wang Jing , Mao Yong , Yu Chunjing , Feng Guo-Kai , Zeng Mu-Sheng
Published: June 2024

KRAS mutations are highly prevalent in a wide range of lethal cancers, and these mutant forms of KRAS play a crucial role in driving cancer progression and conferring resistance to treatment. While there have been advancements in the development of small molecules to target specific KRAS mutants, the presence of undruggable mutants and the emergence of secondary mutations continue to pose challenges in the clinical treatment of KRAS-mutant cancers. In this study, we developed a novel molecular tool called tumor-targeting KRAS degrader (TKD) that effectively targets a wide range of KRAS mutants. TKD is composed of a KRAS-binding nanobody, a cell-penetrating peptide selectively targeting cancer cells, and a lysosome-binding motif. Our data revealed that TKD selectively binds to KRAS in cancer cells and effectively induces KRAS degradation via a lysosome-dependent process. Functionally, TKD suppresses tumor growth with no obvious side effects and enhances the antitumor effects of PD-1 antibody and cetuximab. This study not only provides a strategy for developing drugs targeting “undruggable” proteins but also reveals that TKD is a promising therapeutic for treating KRAS-mutant cancers.
BAG6 restricts pancreatic cancer progression by suppressing the release of IL33-presenting extracellular vesicles and the activation of mast cells
Authors: Alashkar Alhamwe Bilal , Ponath Viviane , Alhamdan Fahd , Dörsam Bastian , Landwehr Clara , Linder Manuel , Pauck Kim , Miethe Sarah , Garn Holger , Finkernagel Florian , Brichkina Anna , Lauth Matthias , Tiwari Dinesh Kumar , Buchholz Malte , Bachurski Daniel , Elmshäuser Sabrina , Nist Andrea , Stiewe Thorsten , Pogge von Strandmann Lisa , Szymański Witold , Beutgen Vanessa , Graumann Johannes , Teply-Szymanski Julia , Keber Corinna , Denkert Carsten , Jacob Ralf , Preußer Christian , Pogge von Strandmann Elke
Published: June 2024

Recent studies reveal a critical role of tumor cell-released extracellular vesicles (EVs) in pancreatic cancer (PC) progression. However, driver genes that direct EV function, the EV-recipient cells, and their cellular response to EV uptake remain to be identified. Therefore, we studied the role of Bcl-2-associated-anthanogene 6 (BAG6), a regulator of EV biogenesis for cancer progression. We used a Cre recombinase/LoxP-based reporter system in combination with single-cell RNA sequencing to monitor in vivo EV uptake and tumor microenvironment (TME) changes in mouse models for pancreatic ductal adenocarcinoma (PDAC) in a Bag6 pro- or deficient background. In vivo data were validated using mouse and human organoids and patient samples. Our data demonstrated that Bag6-deficient subcutaneous and orthotopic PDAC tumors accelerated tumor growth dependent on EV release. Mechanistically, this was attributed to mast cell (MC) activation via EV-associated IL33. Activated MCs promoted tumor cell proliferation and altered the composition of the TME affecting fibroblast polarization and immune cell infiltration. Tumor cell proliferation and fibroblast polarization were mediated via the MC secretome containing high levels of PDGF and CD73. Patients with high BAG6 gene expression and high protein plasma level have a longer overall survival indicating clinical relevance. The current study revealed a so far unknown tumor-suppressing activity of BAG6 in PDAC. Bag6-deficiency allowed the release of EV-associated IL33 which modulate the TME via MC activation promoting aggressive tumor growth. MC depletion using imatinib diminished tumor growth providing a scientific rationale to consider imatinib for patients stratified with low BAG6 expression and high MC infiltration.
Can traditional oral hygiene methods compete with conventional toothbrushes in effectiveness?
Authors: Almutairi Waleed , Duane Brett
Published: June 2024

Design

The study was designed as a single-blinded, parallel, randomized controlled trial to compare the effectiveness of the Salvadora persica toothbrush (MTB), Salvadora persica chewing stick (MCS), and a standard toothbrush (STB) in controlling plaque and gingivitis. A total of 78 participants were randomly divided into three groups and instructed to use their assigned oral hygiene tool in a standardized manner for three.

Case selection

Participants were non-dental students and staff of Universiti Kebangsaan Malaysia, Kuala Lumpur Campus, selected through convenience sampling. They met specific inclusion criteria, such as being systemically healthy, having ≥20 teeth, and having a Basic Periodontal Examination score of 0, 1, or 2, with no periodontal pockets greater than 5.5 mm.

Data analysis

Clinical outcomes were measured using the Plaque Index (PI) and Periodontal Inflamed Surface Area (PISA) at baseline, one-, and three-weeks post-intervention. Data analysis was performed using mixed-model analysis of variance for continuous variables and Fisher’s exact test for categorical variables.

Results

All three groups showed significant improvements in plaque levels and severity of gingivitis from baseline to three weeks post-intervention. The MCS group demonstrated a significant improvement in mean PISA values of the anterior teeth compared to the MTB and STB groups. However, there was no significant difference in plaque level reduction or overall gingivitis severity among the three groups. This indicates that when used correctly, Salvadora persica toothbrushes and chewing sticks are as effective as standard toothbrushes in plaque control and gingival health.

Conclusions

The study concludes that both Salvadora persica toothbrushes and chewing sticks can serve as effective alternatives to the standard toothbrush for plaque control and gingival health. This showcases the beneficial anti-plaque and anti-gingivitis properties of Salvadora persica. However, the effectiveness of these oral hygiene tools is contingent upon the correct usage techniques.
A popcorn-inspired strategy for compounding graphene@NiFe2O4 flexible films for strong electromagnetic interference shielding and absorption
Authors: Liu Mingjie , Wang Zhiyuan , Song Zhaoqiang , Wang Fangcheng , Zhao Guangyao , Zhu Haojie , Jia Zhuofei , Guo Zhenbin , Kang Feiyu , Yang Cheng
Published: June 2024

Compounding functional nanoparticles with highly conductive and porous carbon scaffolds is a basic pathway for engineering many important functional devices. However, enabling uniform spatial distribution of functional particles within a massively conjugated, monolithic and mesoporous structure remains challenging, as the high processing temperature for graphitization can arouse nanoparticle ripening, agglomerations and compositional changes. Herein, we report a unique “popcorn-making-mimic” strategy for preparing a highly conjugated and uniformly compounded graphene@NiFe2O4 composite film through a laser-assisted instantaneous compounding method in ambient condition. It can successfully inhibit the unwanted structural disintegration and mass loss during the laser treatment by avoiding oxidation, bursting, and inhomogeneous heat accumulations, thus achieving a highly integrated composite structure with superior electrical conductivity and high saturated magnetization. Such a single-sided film exhibits an absolute shielding effectiveness of up to 20906 dB cm2 g−1 with 75% absorption rate, superior mechanical flexibility and excellent temperature/humidity aging reliability. These performance indexes signify a substantial advance in EMI absorption capability, fabrication universality, small form-factor and device reliability toward commercial applications. Our method provides a paradigm for fabricating sophisticated composite materials for versatile applications.
Immersive scene representation in human visual cortex with ultra-wide-angle neuroimaging
Authors: Park Jeongho , Soucy Edward , Segawa Jennifer , Mair Ross , Konkle Talia
Published: June 2024

While human vision spans 220°, traditional functional MRI setups display images only up to central 10-15°. Thus, it remains unknown how the brain represents a scene perceived across the full visual field. Here, we introduce a method for ultra-wide angle display and probe signatures of immersive scene representation. An unobstructed view of 175° is achieved by bouncing the projected image off angled-mirrors onto a custom-built curved screen. To avoid perceptual distortion, scenes are created with wide field-of-view from custom virtual environments. We find that immersive scene representation drives medial cortex with far-peripheral preferences, but shows minimal modulation in classic scene regions. Further, scene and face-selective regions maintain their content preferences even with extreme far-periphery stimulation, highlighting that not all far-peripheral information is automatically integrated into scene regions computations. This work provides clarifying evidence on content vs. peripheral preferences in scene representation and opens new avenues to research immersive vision.
Magnon-phonon Fermi resonance in antiferromagnetic CoF2
Authors: Metzger Thomas W. J. , Grishunin Kirill A. , Reinhoffer Chris , Dubrovin Roman M. , Arshad Atiqa , Ilyakov Igor , de Oliveira Thales V. A. G. , Ponomaryov Alexey , Deinert Jan-Christoph , Kovalev Sergey , Pisarev Roman V. , Katsnelson Mikhail I. , Ivanov Boris A. , van Loosdrecht Paul H. M. , Kimel Alexey V. , Mashkovich Evgeny A.
Published: June 2024

Understanding spin-lattice interactions in antiferromagnets is a critical element of the fields of antiferromagnetic spintronics and magnonics. Recently, coherent nonlinear phonon dynamics mediated by a magnon state were discovered in an antiferromagnet. Here, we suggest that a strongly coupled two-magnon-one phonon state in this prototypical system opens a novel pathway to coherently control magnon-phonon dynamics. Utilizing intense narrow-band terahertz (THz) pulses and tunable magnetic fields up to μ0Hext = 7 T, we experimentally realize the conditions of magnon-phonon Fermi resonance in antiferromagnetic CoF2. These conditions imply that both the spin and the lattice anharmonicities harvest energy from the transfer between the subsystems if the magnon eigenfrequency fm is half the frequency of the phonon 2fm = fph. Performing THz pump-infrared probe spectroscopy in conjunction with simulations, we explore the coupled magnon-phonon dynamics in the vicinity of the Fermi-resonance and reveal the corresponding fingerprints of nonlinear interaction facilitating energy exchange between these subsystems.
Variegated overexpression of chromosome 21 genes reveals molecular and immune subtypes of Down syndrome
Authors: Donovan Micah G. , Eduthan Neetha P. , Smith Keith P. , Britton Eleanor C. , Lyford Hannah R. , Araya Paula , Granrath Ross E. , Waugh Katherine A. , Enriquez Estrada Belinda , Rachubinski Angela L. , Sullivan Kelly D. , Galbraith Matthew D. , Espinosa Joaquin M.
Published: June 2024

Individuals with Down syndrome, the genetic condition caused by trisomy 21, exhibit strong inter-individual variability in terms of developmental phenotypes and diagnosis of co-occurring conditions. The mechanisms underlying this variable developmental and clinical presentation await elucidation. We report an investigation of human chromosome 21 gene overexpression in hundreds of research participants with Down syndrome, which led to the identification of two major subsets of co-expressed genes. Using clustering analyses, we identified three main molecular subtypes of trisomy 21, based on differential overexpression patterns of chromosome 21 genes. We subsequently performed multiomics comparative analyses among subtypes using whole blood transcriptomes, plasma proteomes and metabolomes, and immune cell profiles. These efforts revealed strong heterogeneity in dysregulation of key pathophysiological processes across the three subtypes, underscored by differential multiomics signatures related to inflammation, immunity, cell growth and proliferation, and metabolism. We also observed distinct patterns of immune cell changes across subtypes. These findings provide insights into the molecular heterogeneity of trisomy 21 and lay the foundation for the development of personalized medicine approaches for the clinical management of Down syndrome.
eReaxFF force field development for BaZr0.8Y0.2O3-δ solid oxide electrolysis cells applications
Authors: Hossain Md Jamil , Gaikwad Prashik , Shin Yun Kyung , Schulze Jessica A. , Penrod Katheryn A. , Li Meng , Lin Yuxiao , Pawar Gorakh , van Duin Adri C. T.
Published: June 2024

The use of solid-oxide materials in electrocatalysis applications, especially in hydrogen-evolution reactions, is promising. However, further improvements are warranted to overcome the fundamental bottlenecks to enhancing the performance of solid-oxide electrolysis cells (SOECs), which is directly linked to the more-refined fundamental understanding of complex physical and chemical phenomena and mass exchanges that take place at the surfaces and in the bulk of electrocatalysis materials. Here, we developed an eReaxFF force field for barium zirconate doped with 20 mol% of yttrium, BaZr0.8Y0.2O3-δ (BZY20) to enable a systematic, large-length-scale, and longer-timescale atomistic simulation of solid-oxide electrocatalysis for hydrogen generation. All parameters for the eReaxFF were optimized to reproduce quantum-mechanical (QM) calculations on relevant condensed phase and cluster systems describing oxygen vacancies, vacancy migrations, electron localization, water adsorption, water splitting, and hydrogen generation on the surfaces of the BZY20 solid oxide. Using the developed force field, we performed both zero-voltage (excess electrons absent) and non-zero-voltage (excess electrons present) molecular dynamics simulations to observe water adsorption, water splitting, proton migration, oxygen-vacancy migrations, and eventual hydrogen-production reactions. Based on investigations offered in the present study, we conclude that the eReaxFF force field-based approach can enable computationally efficient simulations for electron conductivity, electron leakage, and other non-zero-voltage effects on the solid oxide materials using the explicit-electron concept. Moreover, we demonstrate how the eReaxFF force field-based atomistic-simulation approach can enhance our understanding of processes in SOEC applications and potentially other renewable-energy applications.
Probing phonon focusing, thermomechanical behavior, and moiré patterns in van der Waals architectures using surface acoustic waves
Authors: Baradwaj Nitish , Aditya Anikeya , Mishra Ankit , Burns Kory , Lang Eric , Hachtel Jordan A. , Hattar Khalid , Aitkaliyeva Assel , Nakano Aiichiro , Vashishta Priya , Kalia Rajiv
Published: June 2024

Surface acoustic waves (SAWs) propagate along solid-air, solid-liquid, and solid-solid interfaces. Their characteristics depend on the elastic properties of the solid. Combining transmission electron microscopy (TEM) experiments with molecular dynamics (MD) simulations, we probe atomic environments around intrinsic defects that generate SAWs in vertically stacked two-dimensional (2D) bilayers of MoS2. Our joint experimental-simulation study provides insights into SAW-induced structural and dynamical changes and thermomechanical responses of MoS2 bilayers. Using MD simulations, we compute mechanical properties from the SAW velocity and thermal conductivity from thermal diffusion of SAWs. The results for Young’s modulus and thermal conductivity of an MoS2 monolayer are in good agreement with experiments. The presence of defects, such as nanopores which generate SAWs, reduces the thermal conductivity of 2D-MoS2 by an order of magnitude. We also observe dramatic changes in moiré patterns, phonon focusing, and cuspidal structures on 2D-MoS2 layers.
Rare variants at KCNJ2 are associated with LDL-cholesterol levels in a cross-population study
Authors: Rossi Niccolò , Syed Najeeb , Visconti Alessia , Aliyev Elbay , Berry Sarah , Bourbon Mafalda , Spector Tim D. , Hysi Pirro G. , Fakhro Khalid A. , Falchi Mario
Published: June 2024

Leveraging whole genome sequencing data of 1751 individuals from the UK and 2587 Qatari subjects, we suggest here an association of rare variants mapping to the sour taste-associated gene KCNJ2 with reduced low-density lipoprotein cholesterol (LDL-C, P = 2.10 × 10−12) and with a 22% decreased dietary trans-fat intake. This study identifies a novel candidate rare locus for LDL-C, adding insights into the genetic architecture of a complex trait implicated in cardiovascular disease.
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Authors: Sang Hyunji , Lee Hojae , Lee Myeongcheol , Park Jaeyu , Kim Sunyoung , Woo Ho Geol , Rahmati Masoud , Koyanagi Ai , Smith Lee , Lee Sihoon , Hwang You-Cheol , Park Tae Sun , Lim Hyunjung , Yon Dong Keon , Rhee Sang Youl
Published: June 2024

This study aimed to develop and validate a machine learning (ML) model tailored to the Korean population with type 2 diabetes mellitus (T2DM) to provide a superior method for predicting the development of cardiovascular disease (CVD), a major chronic complication in these patients. We used data from two cohorts, namely the discovery (one hospital; n = 12,809) and validation (two hospitals; n = 2019) cohorts, recruited between 2008 and 2022. The outcome of interest was the presence or absence of CVD at 3 years. We selected various ML-based models with hyperparameter tuning in the discovery cohort and performed area under the receiver operating characteristic curve (AUROC) analysis in the validation cohort. CVD was observed in 1238 (10.2%) patients in the discovery cohort. The random forest (RF) model exhibited the best overall performance among the models, with an AUROC of 0.830 (95% confidence interval [CI] 0.818–0.842) in the discovery dataset and 0.722 (95% CI 0.660–0.783) in the validation dataset. Creatinine and glycated hemoglobin levels were the most influential factors in the RF model. This study introduces a pioneering ML-based model for predicting CVD in Korean patients with T2DM, outperforming existing prediction tools and providing a groundbreaking approach for early personalized preventive medicine.
Preparation of Erlotinib hydrochloride nanoparticles (anti-cancer drug) by RESS-C method and investigating the effective parameters
Authors: Bazaei Majid , Honarvar Bizhan , Esfandiari Nadia , Sajadian Seyed Ali , Arab Aboosadi Zahra
Published: June 2024

The size of the drug particles is one of the essential factors for the proper absorption of the drug compared to the dose of the drug. When particle size is decreased, drug uptake into the body increases. Recent studies have revealed that the rapid expansion of supercritical solution with cosolvent plays a significant role in preparing micron and submicron particles. This paper examines the preparation of Erlotinib hydrochloride nanoparticles using a supercritical solution through the cosolvent method for the first time. An examination of the parameters of temperature (318–338 K), pressures (15–25 MPa) and nozzle diameter (300–700 μm) was investigated by Box-Behnken design, and their respective effects on particle size revealed that the nozzle diameter has a more significant impact on particle size than the other parameters. The smallest particles were produced at temperature 338 K, pressure 20 MPa, and nozzle diameter 700 μm. Besides, the ERL nanoparticles were characterized using SEM, DLS, XRD, FTIR, and DSC analyses. Finally, the results showed that the average size of the ERL particles decreased from 31.6 μm to 200–1100 nm.
A generalized interval-valued p,q Rung orthopair fuzzy Maclaurin symmetric mean and modified regret theory based sustainable supplier selection method
Authors: Chen Shuang , Ren Jian , Ye KeTing , Li FeiYan
Published: June 2024

A novel interval valued p,q Rung orthopair fuzzy (IVPQ-ROF) multiple attribute group decision making (MAGDM) method for sustainable supplier selection (SSS) is proposed in this paper. This study mainly contains two research points: (1) tackling the interrelation between attributes; and (2) describing the psychological state and risk attitude of decision makers (DMs). For the first research point, we introduce the Archimedean operation rules for interval valued p,q Rung orthopair fuzzy sets (IVPQ-ROFSs), then the generalized interval valued p, q Rung orthopair fuzzy Maclaurin symmetric mean (GIVPQ-ROFMSM) operator and the generalized interval valued p, q Rung orthopair fuzzy weighted Maclaurin symmetric mean (GIVPQ-ROFWMSM) operator are defined to reflect the correlation between attributes. For the second research point, we introduce the positive ideal degree (PID) and negative ideal degree (NID) based on projection of IVPQ-ROFSs, and modified regret theory. Both of them consider the best alternative and worst alternative, so as to reflect the psychological state and risk attitude of DMs. Finally, a SSS problem is presented to manifest the effectiveness of the designed method. We also provide sensitivity analysis and comparative analysis to further demonstrate the rationality and validity of the proposed method.