bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility study of the e-learning version of the “Journey of the Brave”: A universal anxiety prevention program based on cognitive behavioral therapy
Authors: Ohashi Shoichi , Urao Yuko , Fujiwara Kazumasa , Koshiba Takako , Ishikawa Shin-ichi , Shimizu Eiji 
Published: July 2024

Abstract

Background
School-based cognitive behavioral therapy (CBT) programs could contribute toward preventing anxiety disorders in children. However, setting aside class time for such programs is difficult. Internet-based CBT (I-CBT) is an efficient way to provide CBT. However, studies on I-CBT for anxiety prevention are still scarce, including I-CBT for school-based universal prevention programs. Therefore, we developed an e-learning version of a school-based anxiety prevention CBT program “Journey of the Brave,” which was effective in Japan, to make it more flexible and accessible. This study evaluated its feasibility.
Methods
We conducted a single-arm study with 44 parents and children. Children aged 10–12 took the e-learning program at home. Parents and children responded to a questionnaire three times: before the learning (Pre), after the learning (Post), and three months later (FU: Follow-up). Feasibility was comprehensively evaluated through dropout rates, satisfaction and learning records, and changes in scores on psychological scales.
Results
Of the 44 children, 42 started the e-learning, and 32 continued it (dropout rate of 23.8%). Furthermore, 83.9% of children and 96.8% of parents responded “agree” or “somewhat agree” regarding overall satisfaction. The parent-rated the Spence Children's Anxiety Scale (SCAS) (SCAS-P) showed a significant decrease between Pre and FU (p = 0.014, 95%CI= (-9.22, -0.84)); however, the child-rated SCAS (SCAS-C) did not (p = 0.08). The Emotion‑Regulation Skills Questionnaire (ERSQ) also increased significantly between Pre and FU (p = 0.045, 95%CI= (0.18, 18.31)). Total Difficulties Score of the Strengths and Difficulties Questionnaire (SDQ) decreased significantly from Pre to Post (p = 0.025, 95%CI= (-3.62, -0.19)); however, it was not significantly different between Pre and FU (p = 0.67).
Conclusion
The e-learning version showed low dropout rates and high satisfaction ratings from parents and children. Moreover, this study did not rule out the possibility that the program reduced children's anxiety and improved their emotional regulation skills. Therefore, its potential and feasibility were indicated.
Pore-throat structure, fractal characteristics and permeability prediction of tight sandstone: the Yanchang Formation, Southeast Ordos Basin
Authors: Zhang Huanmeng , Guo Ling , Wu Zhiyu , Ma Jiangbo 
Published: July 2024

Abstract

As a typical tight reservoir and an important site for unconventional hydrocarbon accumulation, the Chang 6 member of the Yanchang Formation is characterized by complex pore structures and strong heterogeneity. Analysing and characterizing the pore-throat structure quantitatively holds significant importance in optimizing oil recovery processes. To clarify the nonhomogeneity and structural characteristics of the pore throats in the southeastern Ordos Basin, tight sandstone from the Chang 6 member was selected for analysis. Casting thin section (CTS), scanning electron microscopy (SEM), cathodoluminescence (CL), X-ray diffraction (XRD), and mercury intrusion capillary pressure (MICP) analyses were conducted.
According to the results, we found that intergranular pores, feldspar-dissolved pores, intergranular-dissolved pores, and microfractures were the predominant pore types found within the samples. By combining the results of MICP analysis with those of fractal theory, the pore-throat structure of each sample can be categorized into two types: large-scale and small-scale. Fractal theory was employed to quantitatively characterize the complex and irregular pore-throat structure of the reservoir. The average fractal dimension of large pores (D1) was 2.8094, whereas for small pores (D2), it was slightly lower than that of D1, averaging 2.5325. These findings underscore that large-scale pore-throat structures are more complex and exhibit greater heterogeneity. Compared with those of large pores, the pore-throat structure parameters of small pores exhibit a more significant correlation with reservoir properties and fractal dimensions. Therefore, small pores are the primary contributors to the reservoir storage pace and are key factors influencing the pore-throat structure of the Chang 6 tight sandstone. Based on the pore-throat radius and considering the influence of fractal characteristics on the pore structure, a nonlinear permeability prediction model was created using multiple regression analysis. Among these equations, the pore-throat radius corresponding to a mercury saturation of 40% (r40) emerged as the most effective predictor of permeability for tight sandstone.
Rare atypical type A thymoma: a case report and literature review
Authors: Qin Liling , Wang Fanrong , Chen Liqiao , Li Tao , Wang Gang , Zhou Ning 
Published: July 2024

Abstract

Background
An atypical type A thymoma variant was recently added to the World Health Organization classification of type A thymoma in 2015. This novel form of type A thymoma presents with hypercellularity, increased mitotic activity, and necrosis. In particular, necrosis seems to be related to postoperative recurrence and metastasis, but the clinical significance of these changes still needs to be studied.
Case presentation:
A 76-year-old man underwent thoracoscopic surgery for tumour resection due to an anterior mediastinal mass. Pathological examination revealed that the tumour invaded the surrounding thymic tissue. Cells were arranged in nest-like and whirl-like patterns, accompanied by prominent comedo-like necrosis, increased cell density, mild atypia, and a mitotic count of 4–6 per 10 high-power fields. Immunohistochemistry revealed positive expression of cytokeratin 19 and P63 in the tumour cells. Lymphocytes in the background were positive for CD3 and CD5, did not express terminal deoxynucleotide transferase, CD20, or CD117, and had an MBI-1 labelling index value of 15%. On the basis of these findings, the tumour was finally diagnosed as an atypical type A thymoma variant.
Conclusions
We report a case of atypical type A thymoma and review the literature to enhance our understanding of and provide accumulated pathological data on this rare disease.
High-temperature oxidation behavior of the as-cast and cold-rolled alumina-forming austenitic steels at 800 °C
Authors: Zhu Ke , Zhang Fujian , Xu Shixin , Zhang Zhimin , Feng Ke , Guo Ning 
Published: July 2024

Abstract

The high-temperature oxidation behavior and oxidation mechanism of as-cast and cold-rolled (20%CR and 60%CR) AFA steels in dry air at 800°C were studied. The phase composition, morphology, microstructure, element distribution, and oxidation kinetics of oxidized steel were characterized and analyzed. The results show that the mass gains of both as-cast and cold-rolled samples increase rapidly within the first 100 h. During the subsequent long-term high-temperature oxidation process, the mass gains of as-cast and 60%CR samples slowly increase, while the mass gain of 20%CR AFA steel fluctuates greatly. The oxide layer comprises an outer oxide layer rich in (Fe,Cr) oxide and an inner oxide layer rich in Al2O3. The reduction in the oxidation resistance of AFA steel under small deformation is because defects such as dislocations introduced by deformation provide more channels for the diffusion of atoms, while the reason for the improvement under large deformation is that more δ-ferrite and precipitated B2-NiAl phase can promote the rapid formation of Al2O3 film and reduce further oxidation of the matrix. However, because of the formation of aluminum oxide film on the surface of the samples, both as-cast and cold-rolled AFA steels exhibit complete oxidation resistance at 800°C.
Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques
Authors: Huong Phan Thi , Hien Lam Thanh , Son Nguyen Minh , Nguyen Thanh Q. 
Published: July 2024

Abstract

This study introduces significant improvements in the construction of Deep Convolutional Neural Network (DCNN) models for classifying agricultural products, specifically oranges, based on their shape, size, and color. Utilizing the MobileNetV2 architecture, this research leverages its efficiency and lightweight nature, making it suitable for mobile and embedded applications. Key techniques such as Depthwise Separable Convolutions, Linear Bottlenecks, and Inverted Residuals help reduce the number of parameters and computational load while maintaining high performance in feature extraction. Additionally, the study employs comprehensive data augmentation methods, including horizontal and vertical flips, grayscale transformations, hue adjustments, brightness adjustments, and noise addition to enhance the model's robustness and generalization capabilities. The proposed model demonstrates superior performance, achieving an overall accuracy of 100% with nearly perfect precision, recall, and F1-score for both "orange_good" and "orange_bad" classes, significantly outperforming previous models which typically achieved accuracies between 70–90%. The confusion matrix shows that the model has high sensitivity and specificity, with very few misclassifications. Finally, this study empresentasizes the practical applicability of the proposed model, particularly its easy deployment on resource-constrained devices and its effectiveness in agricultural product quality control processes. These findings affirm the model in this research as a reliable and highly efficient tool for agricultural product classification, surpassing the capabilities of traditional models in this field.
Dynamic chromatin accessibility and transcriptome changes following PDGF-BB treatment of bone- marrow derived mesenchymal stem cells
Authors: Liu Sheng , Chu Xiaona , Reiter Jill L. , Yu Xuhong , Fang Fang , McGuire Patrick , Gao Hongyu , Liu Yunlong , Wan Jun , Wang Yue 
Published: July 2024

Abstract

Background
Mesenchymal stem cells (MSCs) are multipotent stem cells that are under investigation for use in clinical trials because they are capable of self-renewal and differentiating into different cell types under defined conditions. Nonetheless, the therapeutic effects of MSCs have been constrained by low engraftment rates, cell fusion, and cell survival. Various strategies have been explored to improve the therapeutic efficacy of MSCs, with platelet-derived growth factor (PDGF)-BB emerging as a promising candidate. To enhance our comprehension of the impact of PDGF-BB on the gene expression profile and chromosomal accessibility of MSCs, RNA-sequencing and analysis of chromatin accessibility profiles were conducted on three human primary MSCs in culture, both with and without stimulation by PDGF-BB.
Results
Integrative analysis of gene expression and chromatin accessibility demonstrated that PDGF-BB treatment modified the chromatin accessibility landscape, marking regions for activation or repression through the AP-1 family transcription factors TEAD, CEBP, and RUNX2. These changes in AP1 transcription factor expression, in turn, led to cell proliferation and differentiation potential towards osteoblasts, adipocytes, or chondrocytes. The degree of MSC differentiation varies among cells isolated from different donors. The presence of an enrichment of exosome-related genes is also noted among all the differentially expressed genes.
Conclusions
In conclusion, the observed changes in AP1 transcription factor expression not only induced cellular proliferation and differentiation, but also revealed variations in the degree of MSC differentiation based on donor-specific differences. Moreover, the enrichment of exosome-related genes among differentially expressed genes suggests a potential significant role for PDGF-BB in facilitating intercellular communication.
FH-DETR A faster helmet detection transformer for small, complex, confusion two-wheeler helmet
Authors: Liu Liwei , Yue Xinbo , Lu Ming , He Pingge 
Published: July 2024

Abstract

The field of helmet detection faces challenges due to small targets, complex backgrounds, and confusion with neighboring objects. This paper proposes a faster real-time two-wheeler helmet detection model based on the Real-Time Detection Transformer (RT-DETR) to address these issues. Faster Helmet-DETR (FH-DETR) includes a new FasterRepConvRBlock (FRBlock) structure designed using model re-parameterization techniques to improve detection performance while meeting real-time requirements for practical applications. Additionally, the proposal introduces a Mixed local channel attention (MLCA) module to address the issue of object confusion with neighboring objects. The module combines channel and spatial information, as well as local and global information, resulting in a significant improvement in network performance.A new module called the Cross-Stage Partial Parallel Atrous Convolution (CSPPAC) is proposed to increase the receptive field. This is achieved by using convolutions with different atrous rates to capture multi-scale information and enhance feature representation. Furthermore, the detection performance for small-sized helmet objects is improved through the use of a new channel-gated up-sampling and down-sampling technique to strengthen meaningful features and suppress redundant and irrelevant features. The experimental results indicate that FH-DETR enhances the mAP50 by 2.3\% and increases the FPS to 141.3 on the helmet dataset. These improvements significantly enhance the model's capability in detecting small objects and dense scenes, meeting the real-time requirement while ensuring detection accuracy. FH-DETR provides an effective solution for the real-time detection of two-wheeler helmets.
Modelling and Verification of Resource Allocation for Healthcare Systems
Authors: Parveen Rizwan , Ruchkin Ivan , Laurel Ashin , Goveas Neena , Blouin Dominique 
Published: July 2024

Abstract

Efficient use and timely availability of healthcare resourcesplay a critical role in today’s society. A key factor in managing theseresources is their automated and flexible allocation and deallocation. Wepresent a formal approach to model the medical resource allocation process as timed automata. This approach aims to improve treatment pro-cesses and alleviate staff workload by allocating resources strategically for a specific duration and releasing them synchronously. We ensure that the model satisfies important domain-specific requirements and is structured in a modular fashion. Further, we demonstrate the applicability of our approach in a clinical scenario involving combinations of patients,caregivers, and medical resources. In this scenario, we verify the cor-rectness of this model’s temporal properties. Finally, we show how ourmodel can be extended with new components without compromising itsessential properties.
Interplay of acoustophoresis and dielectrophoresis in a standing surface acoustic wave field: from spherical to non-spherical particles
Authors: Sachs Sebastian , Schreier David , Brand Felix , Drese Klaus Stefan , Cierpka Christian , König Jörg 
Published: July 2024

Abstract

Standing surface acoustic waves (sSAW) emerged as a flexible tool for precise manipulation of spherical and non-spherical objects in Lab-on-a-Chip devices. While the manipulation of suspended particles and cells in acoustofluidic devices is mostly dominated by acoustic forces due to acoustic scattering and the acoustically induced fluid flow, surface acoustic waves are inherently linked to an inhomogeneous electric field. The superimposed effects of dielectrophoretic forces and torques on polarizable particles are less explored in microfluidics using sSAW. In this study, a thorough analysis of the physical interplay of acoustophoresis and dielectrophoresis aims to bridge this gap. In comprehensive experiments, the dielectrophoretic impact on the behavior of spherical and non-spherical particles is distinguished by screening the electric field of the sSAW inside the micro channel locally. As a result, particles are forced into trapping locations across the entire channel height. However, the height position close to the bottom differs between the screened and non-screened region. Regardless of the shape of the particles used in this study, particles are forced towards the bottom at the region with screening, while being levitated at regions without screening. This indicates uniquely the influence of the electric field, existing in close vicinity to the substrate surface only. Furthermore, the unintuitive preferred orientation of prolate spheroids perpendicular to the pressure nodes of the sSAW recently reported, has been confirmed considering the influence of the electric field. Based on a three-dimensional numerical model established, this orientation results not only due to the acoustic torque but is also caused by the dielectrophoretic torque, which complement each other. The experimental and numerical findings are in excellent agreement and provide deep insights into the underlying physical mechanisms responsible for patterning and orientation of the particles.
Precise p-type and n-type doping of two-dimensional semiconductors for monolithic integrated circuits
Authors: Ye Yu , Pan Yu , Jian Tao , Gu Pingfan , Song Yiwen , Wang Qi , Han Bo , Ran Yuqia , Pan Zemin , Li Yanping , Xu Wanjin , Gao Peng , Zhang chendong , He Jun , Xu Xiaolong 
Published: July 2024

Abstract

The controllable fabrication of patterned p-type and n-type channels with precisely doping control presents a significant challenge1-5, impeding the realization of complementary metal-oxide-semiconductor (CMOS) logic using a single van der Waals material. However, such an achievement could offer substantial benefits by enabling continued transistor scaling and unprecedented interlayer interconnect technologies6,7. In this study, we devise a precise method for two-dimensional (2D) semiconductor substitutional doping, which allows for the production of wafer-scale 2H-MoTe2 thin films with specific p-type or n-type doping. By employing this technique, we are able to finely tune the carrier concentrations within the range of 1010 cm−2 to 1012 cm−2. The effectiveness of substitution doping is validated by scanning tunneling microscopy characterization, where the doping type is confirmed by observing Fermi level shifts in the corresponding spectroscopic measurements. These results are further validated through the assessment of Hall devices and field-effect transistors. Notably, we extend this approach to the synthesis of region selectively doped 2H-MoTe2 thin films via a one-step growth method, facilitating the monolithic integration of p-type and n-type semiconductor channels. Leveraging this advancement, we successfully fabricate a chip-sized 2D CMOS inverter array that demonstrates excellent device performance and yield. Collectively, these findings represent a significant stride towards the practical incorporation of 2D semiconductors in very large-scale integration technology.
1928-LB: Feasibility of Calibration-Free Intradermal Glucose Monitoring Using a Sensor Microarray
Authors: CHRISTIANSEN MARK P. , BHAVARAJU NARESH C. , GOTTLIEB REBECCA , CAMPBELL ALAN , SATTAYASAMITSATHIT SIRILAK , BRISTER MARK C. , NOGUEIRA KEITH , VANDENBERG AMY L. , YANG RICH , TANGNEY JARED R. 
Published: July 2024

Introduction: Subcutaneous glucose sensors using introducer needles have been well characterized. Robust microsensors are required for a less invasive approach, accessing interstitial glucose in the dermis. Advancements in semiconductor manufacturing have facilitated new sensing technologies using arrays of silicon microsensors on a wearable patch without introducer needles. Several independent electrodes on the microarray chip support redundancy and reliability. The objective of this study was to evaluate the performance of a calibration-free, intradermal glucose sensor, compared to a gold standard.
Methods: A 5-day study was conducted at two US sites evaluating the device in persons with Diabetes. Intradermal glucose sensors were placed on the volar forearm or upper arm. All subjects participated in one clinic day on Day 1, 3, or 5 of wear. Venous blood was obtained every 15 minutes for 8 hours and analyzed with the YSI (YSI Inc, Yellow Springs, Ohio) 2300 Stat Plus. A prospective, calibration-free algorithm was used.
Results: 19 subjects with Type 1 diabetes ages 19 to 70 were studied. Mean Absolute Relative Difference (MARD) was 10.1% compared to YSI (n=388). 83.2% of paired points were within 20% of YSI and 100% were within Clark Error Grid A+B regions.
Conclusion: The intradermal glucose sensor demonstrated accurate tracking and trending of glucose levels compared to the gold standard laboratory analyzer.

Disclosure
M.P. Christiansen: Research Support; Abbott Diagnostics, Amgen Inc., Biolinq, Boehringer-Ingelheim, Dexcom, Inc., Eli Lilly and Company, Google, Lilly Diabetes, MannKind Corporation, Medtronic, Novo Nordisk, Pfizer Inc., Roche Diabetes Care, REMD Biotherapeutics, ViaCyte, Inc. N.C. Bhavaraju: Employee; Biolinq. R. Gottlieb: Employee; Biolinq. A. Campbell: Employee; Biolinq. S. Sattayasamitsathit: Employee; Biolinq. M.C. Brister: Employee; Biolinq. K. Nogueira: Employee; Biolinq. A.L. VandenBerg: Employee; Biolinq. J.R. Tangney: Employee; Biolinq.