bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of the rectus abdominal muscle in reconstructive and recovery surgery of chest wall defects
Authors: Medvedchikov-Ardiia M. A. , Korymasov E. A. , Benian A. S. 
Published: January 2024

Introduction. Autologous plastic tissues (muscles and greater omentum) are preferable in the reconstruction of chest wall defects in infectious and inflammatory diseases of the chest wall. Extended and deep defects can be eliminated by flaps of the rectus abdominis muscle.Aid. To study the effectiveness of various options for the use of flaps of the rectus abdominis muscle in plastic surgery of chest wall defects of infectious and inflammatory origin.Object and methods. A retrospective analysis of the results of treatment of 34 patients with osteomyelitis of the sternum and ribs of various etiologies was carried out for the period from January 1, 2012 to May 30, 2023. In 32 patients, the main diagnosis was poststernotomy mediastinitis, 2 patients had post-radiation osteomyelitis of the sternum and ribs after combined cancer treatment. mammary gland. The majority of patients (n = 29) underwent a two-stage approach to treatment using vacuum therapy at the stage of relief of acute inflammation. All patients underwent plasty with a flap of the rectus abdominis muscle. The options for surgical intervention and the outcome of treatment were studied.Results. The area of the defect to be repaired in patients ranged from 50 cm2 to 270 cm2 (mean 143.1 ± 15.3 cm2). There were no intraoperative complications in the patients. The postoperative period was complicated by various wound complications in 9 patients. Marginal necrosis of the skin part of the graft was revealed in 3 patients with full-thickness permanent graft plasty. In 3 patients, despite wound drainage, postoperative seromas were detected. Reoperations were performed in 2 patients: in one case, bleeding from the vein of the fullthickness flap was stopped, in the other case, partial necrosis of the full-thickness flap was detected, which required a second operation and revision of the flap. In 1 patient, the hematoma was emptied 3 days after the operation. The average duration of inpatient treatment of patients was 19.3 ± 2.8 days (range 17 to 38 days). There were no lethal outcomes in patients with muscle plasty with a permanent graft flap. In 1 patient, a postoperative hernia was formed in the region of the anterior abdominal wall. Recurrence of osteomyelitis of the ribs was diagnosed in 1 person 16 months after surgery.Conclusions. The rectus abdominis muscle as an isolated and full-thickness flap is the optimal plastic material for eliminating defects in both the lower part of the sternum and extensive defects in the anterior and lateral surfaces of the chest wall.
Easy-to-actuate multi-compatible truss structures with prescribed reconfiguration
Authors: Li Yang , Ai Lin , Yin Shukun , He Weixia 
Published: January 2024

Abstract

Multi-stable structures attract great interest because they possess special energy landscapes with domains of attraction around the stable states. This feature might allow the structure to reconfigure from one stable state to another with fewer and less accurate actuators, and it does not need constant actuation to be locked at a stable state. Consequently, multi-stable structures have the potential to achieve prescribed reconfiguration with only a few lightweight actuators (such as SMA springs). However, most existing multi-stability designs are based on assembling bi-stable unit cells, which contain multitudes of additional and distractive stable states, diminishing the feasibility of reconfiguration actuation. To help address this challenge, we first introduce the constraints that a truss structure is simultaneously compatible at multiple (more than two) prescribed states. Then, we solve for the design of a new type of multi-stable truss structure, named multi-compatible structures in this paper, where redundant stable states are very limited. Secondly, we explore minimum energy paths connecting the designed stable states. Then, we compute for a simple and inaccurate pulling actuation guiding the truss structure to transform along the computed minimum energy paths. Finally, we fabricated four prototypes to demonstrate that prescribed reconfigurations with easy-actuation have been achieved. Altogether, our full-cycle design approach contains multi-stability design, stiffness design, minimum-energy-path finding, and pulling actuation design, which highlights the potential for designing morphing structures with lightweight actuation for practical applications.
Fingerprinting Climate Change: The unique pattern of regional landslide hazard under different triggering scenarios
Authors: Guthrie Richard , Knibbs Graham , Wasklewicz Thad , Imen Sanaz , Blais-Stevens Andrée 
Published: January 2024

Abstract

In a warming climate, weather driven mountain hazards, and rainfall-triggered landslides in particular, represent one of the greatest growing threats to co-located populations, infras- tructure, and communities 1–3. Coupled with a simultaneous increase in the number of people and infrastructure exposed to those same hazards 4, the global risk associated with landslides compounds at an alarming rate 5. The precise quantification of event-triggered hazards, how- ever, remain elusive and thresholds for landslide-triggering rainfall, while widely used, are subject to a host of technical challenges.
Here we demonstrate that mountain regions have a specific and discernible topographic- climatological hazard fingerprint, a unique pattern of hazard quantified over the same region. We show how to derive that fingerprint at an example site in British Columbia, Canada, and demonstrate how it changes with global warming under different shared socioeconomic pathways or different storm-return periods.
A quantified landscape-wide fingerprint of hazard, agnostic of initial landslide location, for (1) a background condition (25-year rainfall event), (2) a rarer storm (200-year rainfall event), and the same events under climate change scenarios is advanced. The fingerprint associated with climate change shows precisely where hazard will interact with infrastruc- ture and communities, and provides quantitative data to inform mitigation and adaptation strategies.
Our methods are easily repeatable and portable to other regions and jurisdictions. We antic- ipate that any community faced with mountain hazards and the uncertain impact of climate change will benefit from quantifying both the existing fingerprint of hazard and calculating the fingerprint under future conditions.
Fatigue mechanical behavior of the repair techniques by grinding and wet welding
Authors: Terán G. , Hernández Apolinar Albiter , Castro Lucila Cruz , Capula-Colindres S. , Cuamatzi-Meléndez Rubén 
Published: January 2024

Abstract

This paper presents the results of a fatigue behavior study conducted on standard specimens obtained from a T-welded connection. The techniques of grinding and wet welding, commonly employed in the repair of offshore structures were utilized. The process involved a rectangular grinding in the weld area, followed by the application of wet welding to fill it. Two grinding depths, 6 and 10 mm, were investigated, and tests were performed at three immersion water depths: 50, 70, and 100 m. S-N curves were generated for air exposure conditions and the mentioned immersion depths. The results reveal a decrease in behavior in terms of stress and the number of cycles in the S-N curve as the immersion water depth increases. Particularly low-stress values were observed in connections with a 10 mm grinding depth at water depths of 50, 70, and 100 m. However, in the case of a 6 mm grinding depth and a 50-meter immersion depth, stress values were similar to those under air exposure conditions. This suggests that, in this specific configuration, the combination of grinding and wet welding could be effective in restoring the original service life of T-shaped connections. In contrast, in situations with a 6 mm grinding depth and immersion water depths of 70 and 100 m, significantly lower fatigue results were observed compared to air exposure conditions.
Patient Perspectives on AI for Mental Health: With Great [Computing] Power, Comes Great Responsibility
Authors: Benda Natalie C. , Desai Pooja M. , Reza Zayan , Zhang Anna , Kumar Shiveen , Harkins Sarah , Hermann Alison , Zhang Yiye , Joly Rochelle , Kim Jessica , Pathak Jyotishman , Turchioe Meghan Reading 
Published: January 2024

Abstract
The application of predictive and generative artificial intelligence to health and healthcare is rapidly increasing. Several studies have assessed the attitudes of health professionals but far fewer have explored perspectives of patients or the general public. Studies investigating patient perspectives have focused on somatic issues including radiology, perinatal health, and general applications. Patient feedback has been elicited in the development of specific mental health solutions, but general perspectives towards AI for mental health have been under-explored. To address this gap, we surveyed a nationally representative sample of 500 United States-based adults on their perceived benefits, concerns, comfortability, and values on AI related to mental health. A plurality of participants believed AI may be beneficial for mental healthcare, but expressed concerns related to AI accuracy and loss of connection with their health professional. We also found differences in perspectives based on age, race, and health literacy.
To explore the mechanism of acupoint application in the treatment of primary dysmenorrhea by 16S rDNA sequencing and metabolomics
Authors: Wang Lin , Li Tie , Cao Wenxuan , Zhao Jinying , Xu Xiaohong , Chai Jiapeng , Zhang Jiaxun , Liu Jia , Wang Fuchun 
Published: January 2024

Abstract
Graphene-based warm uterus acupoint paste (GWUAP) is an emerging non-drug alternative therapy for the treatment of primary dysmenorrhea (PD), but the underlying mechanism is still unclear. SD female rats were randomly divided into control group, model group and treatment group to explore the mechanism of GWUAP in the treatment of PD. Combined with 16 S rDNA and fecal metabolomics, the diversity of microbiota and metabolites in each group was comprehensively evaluated. In this study, GWUAP reduced the torsion score of PD model rats, improved the pathological morphology of uterine tissue, reduced the pathological damage score of uterine tissue, and reversed the expression levels of inflammatory factors, pain factors and sex hormones. In addition, the model group caused significant changes in fecal microorganisms and metabolites in the control group, while the treatment group could prevent these changes. 16S rDNA sequencing of fecal samples showed that GWUAP could improve the imbalance of bacterial diversity in PD rats. Metabolomics of fecal samples identified 32 metabolites related to therapeutic effects. Moreover, there is a close correlation between fecal microbiota and metabolites. Therefore, the mechanism of GWUAP in the treatment of PD remains to be further studied.
Sustainable Reinforcement: Exploring Hypo Sludge and Sisal Fiber Integration in M25 Grade Concrete for Eco-Friendly Solutions and Assessing Environmental Impact
Authors: S VIJAYAN , M Tholkapiyan 
Published: January 2024

Abstract
This study investigates the improvement of mechanical strength in M25 grade concrete through the incorporation of Hypo sludge and the addition of 2% novel sisal fiber, comparing the results with conventional concrete. Hypo sludge, a paper industry waste, serves as a supplementary cementitious material, contributing to sustainability. The novel sisal fiber, chosen for its unique properties, aims to enhance the concrete's compressive and flexural strength. Results indicate a significant improvement in compressive strength, with a simultaneous reduction in permeability and increased resistance to environmental factors. The incorporation of Hypo sludge and novel sisal fiber contributed to the formation of a denser and more durable concrete matrix. Durability tests, including freeze-thaw resistance and chloride ion penetration, revealed superior performance compared to conventional concrete. The mean compressive strength for Conventional Concrete (CC) was 33.98 N/mm², whereas Hypo sludge Concrete (HSC) exhibited a higher mean of 37.46 N/mm². The highest mean compressive strength was observed in Hypo sludge + Sisal Fiber Concrete (HSFC) at 40.18 N/mm², achieved with an optimal combination of 30% Hypo sludge and 2% novel sisal fiber. In terms of flexural strength, CC had a mean of 3.79 N/mm², Hypo sludge Concrete HSC showed an increased mean of 4.47 N/mm², and Hypo sludge + Sisal Fiber Concrete HSFC demonstrated the highest mean at 5.79 N/mm², with the optimum blend of 30% Hypo sludge and 2% novel sisal fiber contributing to this enhanced performance. Additionally, the mean durability values were 29.72 for CC, 32.42 for HSC, and the highest at 35.56 for HSFC with the optimized mixture. The result, denoted by Mauchly's W statistic, indicates no significant departure from sphericity (W = 0.806, Approx. Chi-Square = 3.459, df = 2, p = 0.177). These results underscore the positive impact of the optimal combination of 30% Hypo sludge and 2% novel sisal fiber on both mechanical and durability properties in M25 grade concrete. This research contributes to the evolving field of eco-friendly construction practices and novel material applications in concrete engineering.
Characterizing the current systems in the Martian ionosphere
Authors: Rong Zhaojin , Gao Jiawei , Li Shibang , Mittelholz Anna , Persson Moa , Shi Zhen , Lu Haoyu , Zhang Chi , Wang Xiaodong , Cui Jun , Wei Yong , Pan Yongxin 
Published: January 2024

Abstract

When the solar wind encounters the ionosphere of an unmagnetized planet, it induces currents, forming an induced magnetosphere. These currents, along with their associated magnetic fields, play a crucial role in controlling the movement of charged particles and are essential for understanding the escape of planetary ions. Unlike the well-documented magnetospheric current systems, the ionospheric current systems on unmagnetized planets remain less understood, limiting our ability to quantify electrodynamic energy transfer. Here, using 8 years of data from the Mars Atmosphere and Volatile EvolutioN (MAVEN) mission, we provide the global map of the Martian ionospheric currents. We identified two distinct current systems within the ionosphere: one aligning with the solar wind electric field, with asymmetries between the west-east electric hemispheres and driven by the solar wind; and another characterized by two current vortices on the dayside, powered by the atmospheric neutral winds. Our findings indicate that the Martian ionospheric dynamics are influenced by both the neutral winds from below and the solar wind from above, emphasizing the intricate nature of current systems on unmagnetized planets.
DeepVinci: A Semantic Segmentation Model with Edge Super-vision and Densely Multi-scale Pyramid Module for DaVinci Gynecological Surgery
Authors: Tseng Li-An , Lin Hsiao-Cheng , Bai Meng-Yi , Li Mei-Fang , Lee Yi-Liang , Chiang Kai-Jo , Wang Yu-Chi , Guo Jing-Ming 
Published: January 2024

Abstract

The successful development of self-driving cars has opened the door for the possibility of automated surgery, which may help alleviate the problem of limited access to quality surgical care in underserved areas. Automated surgical navigation typically involves three stages: 1) identifying and localizing organs, 2) identifying organs that require further surgical attention, and 3) automatically planning the surgical path and steps. This study focuses on the first stage, which is organ identification and localization. The daVinci surgical system offers a promising platform for automated surgical navigation due to its advanced visual and semi-automatic operating capabilities. This paper proposes a deep learning-based semantic segmentation method for identifying organs in gynecological surgery. We introduce a novel end-to-end high-performance encoder-decoder network called DeepVinci, which includes two modules (the Densely Multi-scale Pyramid Module (DMPM) and the Feature Fusion Module (FFM)) to overcome the limited Field of View (FoV) issue and enhance global context information. Additionally, we integrate an edge-supervised network to refine the segmentation results during decoding. Experimental results show that DeepVinci is superior to mainstream semantic segmentation models (including UNet, FCN, DeepLabV3, and MaskRCNN) on our collected test dataset. The Dice Similarity Coefficient (DSC) and Mean Pixel Accuracy (MPA) values are 0.684 and 0.700, respectively. As collecting daVinci gynecological endoscopy data is challenging, we also introduce a new dataset of 110 gynecological surgery videos from Tri-Service General Hospital in Taipei, Taiwan. This dataset provides valuable video data for further research in daVinci gynecological surgery.
Research on mining-induced fracture evolution characteristic of overlying strata in shallow-buried compound gob
Authors: Wang Beifang , Zhou Duo , Zhang Jing 
Published: January 2024

Abstract
As the main mining shallow-buried and short-distance coal seams in Lijiahao Coal Mine, 2–2 medium coal and 3 − 1 coal are prone to spontaneous combustion. The overburden fracture of compound gob formed by large-scale and high-intensity coal mining are developed, and air leakage condition is complicated, which leads to prominent hidden danger of residual coal spontaneous combustion. Therefore, it is urgent to study the overburden fracture evolution characteristic of shallow-buried compound gob. Similar experiment was used to simulate the overburden movement characteristics of panel 1114 in 2–2 medium coal and panel 31114, and fractal geometry theory was utilized for quantifying the overburden fracture of compound gob. Based on the “key layer theory”, cause for evolution of the overburden fracture was revealed and corresponding countermeasures were proposed. The results showed that, when panel 31114 entered and left the overlying gob of panel 1114 in 2–2 medium coal, the overlying strata collapsed and the ground pressure appeared violently. The fractal dimension of mining-induced fracture network ranged from 1.32 ~ 1.58, with increase first large and then small, slight fluctuations in the middle and finally leveling off. The voidage distribution curve between neighboring monitoring lines on the overlying strata of compound gob presented a “W” shape, and the overburden fracture was developed near the setup entry and stop line. Meanwhile the overburden fracture zone presented a semi-enclosed “M” shape with the coal seam floor as the boundary, which was composed of irregular fracture zone Ⅰ in the collapsed zone, diagonal breakage fracture zone Ⅱ, Ⅲ and diagonal bed-separated fracture zone Ⅳ in the fractured zone. Also the overburden fracture ratio was 4.1%, and the fractal dimension was 1.4835. Among them, fracture ratio and fractal dimension of fracture zone Ⅰ was the largest, followed by fracture zone Ⅱ, Ⅳ and Ⅲ. The mechanical model on “three-hinged arch” bearing structure of key rock block was built to analyze the inducement of diagonal breakage fracture development and diagonal bed-separated fracture development near the setup entry and stop line. Then local reducing mining height, backfilling mining or accelerating advancing speed combined with regional surface backfilling and grout sealing methods were proposed, which could effectively block the overburden fracture channel, reduce surface air leakage and provided an important theoretical basis for the prevention and control of residual coal spontaneous combustion in compound gob.
p-y Curves for Piles in Uniform Sand and Normally Consolidated Clay
Authors: WANG YAO , Salgado Rodrigo , Prezzi Monica 
Published: January 2024

Abstract
The design of laterally loaded piles has commonly been done using the p-y method. The results of a p-y analysis are highly dependent on the p-y curves used in the analysis. Since the p-y curves routinely used in p-y analyses have been traditionally derived empirically from data obtained from a limited number of lateral pile load tests and in situ test data, the domain of applicability of the p-y method would necessarily be limited. An alternative path for p-y curve development is to obtain them from realistic numerical analyses, an approach explored in this paper. The paper presents the results of a series of three-dimensional (3D) finite element (FE) analyses of single piles in uniform soil profiles of sand and clay using advanced two-surface-plasticity constitutive models. The analyses were performed for different values of pile diameter, pile length, lateral load eccentricity, and sand relative density. We extracted p-y curves from the simulation results, and studied the factors that would be expected to have an impact on the p-y curves: relative density, soil type, pile diameter, load eccentricity, and the depth to the water table. Based on these analyses, we propose a new set of p-y curve equations that can be used for sand or clay in the design of laterally loaded piles.
Prediction of Midpalatal Suture Maturation Stage Based on Transfer Learning and Enhanced Vision Transformer
Authors: Tang Haomin , Liu Shu , Tan Weijie , Fu Lingling , Yan Ming , Feng Hongchao 
Published: January 2024

Abstract

Background
Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, and the diagnosis was validated by palatal plane cone beam computed tomography (CBCT) images by orthodontists, while such a method suffered from low efficiency and strong subjectivity. This study develops and evaluates an enhanced vision transformer (ViT) to automatically classify CBCT images of midpalatal sutures with different maturation stages.
Methods
In recent years, the use of convolutional neural network (CNN) to classify images of midpalatal suture with different maturation stages has brought positive significance to the decision of the clinical maxillary expansion method. However, CNN cannot adequately learn the long-distance dependencies between images and features, which is also required for global recognition of midpalatal suture CBCT images. The Self-Attention of ViT has the function of capturing the relationship between long-distance pixels of the image. However, it lacks the inductive bias of CNN and needs more data training. To solve this problem, a CNN-enhanced ViT model based on transfer learning is proposed to classify midpalatal suture CBCT images. In this study, 2518 CBCT images of the palate plane are collected, and the images are divided into 1259 images as the training set, 506 images as the verification set, and 753 images as the test set. After the training set image preprocessing, the CNN-enhanced ViT model is trained and adjusted, and the generalization ability of the model is tested on the test set.
Results
The classification accuracy of our proposed ViT model is 95.75%, and the AUC is 97.3% on our data test set. The classification accuracy of the clinician is 89.10% on our data test set.
Conclusions
The experimental results show that this method can effectively complete CBCT images classification of midpalatal suture maturation stages, and the performance is better than a clinician. Therefore, the model can provide a valuable reference for orthodontists and assist them in making correct a diagnosis.