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The catenary is an important part of the railway power supply system, and the good health of its key components is an important condition for the operation of high-speed trains. Due to the complex composition of catenary components and the large size difference between components, it is very difficult to implement the locating and detection of all components. It severely limits the subsequent failure analysis of catenary components. Aiming at the problem of the difficult locating of multiple components, this paper proposes a catenary complex component locating method based on the improved YOLO algorithm named CCL-YOLO. Firstly, based on the YOLO baseline method, a framework for locating complex components of railway catenary is proposed, which achieves the accurate locating of 40 catenary components and paves the way for subsequent defect detection. Furthermore, a novel “Gather-and-Distribute” mechanism is introduced, which improves the original feature fusion method and its global feature fusion capability and effectively improves the locating accuracy of complex catenary components. In addition, the Wasserstein distance loss is also applied to improve the detection capability of small objects. Finally, the comprehensive experimental results show that the proposed method for locating complex components of railway catenary can achieve a mean average precision of 94.1% for 40 components of different sizes. Meanwhile, it reduces the number of parameters and the complexity of the algorithm to a certain extent, thus paving the way for subsequent fault detection, which is of important application value.

Abstract Under the influence of diapir structure, the formation pressure system is complicated. The characteristics of high temperature and high pressure are obvious, the prediction is difficult, and complex accidents such as well kick and leakage are frequent, which seriously restrict the efficient development of oil and gas resources. Therefore, taking Yinggehai Basin in China as an example, combined with the evolution characteristics of diapir structure, the influence of diapir structure on abnormal high-pressure, wellhole collapse and fracture is analyzed. Three pressure calculation methods are selected, and the distribution rules of pressures and safety density window are analyzed, too. The results show that the diapir structure and its associated fault not only constitute the fluid transport system, but also make the deep overpressure transfer upward and accumulate into high pressure in the shallow formation, and the development of the associated fault destroy the integrity of the formation rock and reduce the strength of the rock. The upwelling of hot fluid changes the local geothermal conditions, reduces the hydrocarbon generation threshold of shallow source rocks, promotes the evolution of clay minerals, causes hydrothermal expansion, and enhances the shallow high pressure. In high-temperature environment, the cooling effect of drilling fluid will produce heating stress, change the stress distribution around the wellhole, and increase the risk of wellbore instability. Additionally, under the influence of diapir structures, the pore pressure in deep formations increases, while the fracture pressure decreases, resulting in a significantly narrowed safe density window. The safety density window width generally presents a half-spindle shape, and with the increase of depth, the window width increases first and then decreases.

Abstract Coordination complexes are promising candidates for powerful electrocatalytic oxygen evolution reaction but challenges remain in favoring the kinetics behaviors through local coordination regulation. Herein, by refining the synergy of carboxylate anions and multiconjugated benzimidazole ligands, we tailor a series of well-defined and stable coordination complexes with three-dimensional supramolecular/coordinated structures. The coordinated water as potential open coordination sites can directly become intermediates, while the metal center easily achieves re-coordination with water molecules in the pores to resist lattice oxygen dissolution. In situ experiments and theory simulations indicate that nickel centers with neighboring coordinated water molecules follow an intramolecular oxygen coupling mechanism with a low thermodynamic energy barrier. With more coordinated water introduced, an optimized intramolecular oxygen coupling process may appear for favoring the reaction kinetics. As such, a low overpotential of 248 mV at 10 mA cm–2 and long-term stability of 200 h are achieved. This study underscores the potential of crafting coordinated water molecules for efficient electrocatalysis applications.

The processing efficiency and application range of konjac glucomannan (KGM) are limited because of its high relative molecular mass and the high viscosity of its aqueous solution. In this study, konjac flour from Amorphophallus bulbifer was used as raw material to develop an efficient approach to reducing the viscosity of KGM and broadening its application market. Based on a single-factor test and an orthogonal experimental design for optimization, low-viscosity konjac flour was prepared by microwave-assisted hydrogen peroxide oxidation (a semidry process), and the changes in physicochemical, structural, and physiological characteristics of KGM were characterized before and after the treatment. The results showed that the viscosity of konjac flour decreased from 6341.67±52.04 to 53.33±5.77 mPa·s, and the weight-average molecular weight of KGM decreased from 347.31 to 158.26 kDa when the uniformly mixed reactants were heated and reacted within 3 min at a microwave power of 700 W. The concentration of the hydrogen peroxide was 3%, and the liquid-material ratio was 0.75:1 mL/g. Compared to the untreated raw material, it decreased by 99.16% and 54.43%, respectively. Based on X-ray diffractometry, ultraviolet-visible spectrometry, infrared spectrometry, and scanning electron microscopy analyses of the KGM structure before and after oxidation, the oxidation of the KGM degraded the KGM molecular chain, decreased the crystallinity, and damaged the microscopic lamellar structure while retaining the characteristic groups. Moreover, the effect of the microwave-assisted hydrogen peroxide in decreasing the viscosity of the KGM was superior to that of the KGM treatment with the microwave or hydrogen peroxide only. The degradation products exhibited better fat-binding capacity and bile-acid-binding capacity. Therefore, KGM can be produced in a highly efficient, green, and ecofriendly manner, providing a rationale for the development and utilization of low-viscosity KGM.

The stress shielding phenomenon and subsidence risk caused by the excessive stiffness of dense Ti6Al4V (Ti64) cages affects their application in lumbar fusion surgeries. Advances in additive manufacturing techniques have facilitated the production of porous Ti64 cages with decreased stiffness for the better biomechanical performance. Precise design and preparation of porous cage were crucial for achieving the optimal performance in the fusion surgery. This study introduced a workflow for precise design, preparation, and biomechanical assessment of porous Ti64 cage with designated mechanical properties. Hierarchical optimization was used to obtain the porous cage with designated mechanical properties, including microscale optimization based on the compression load condition to obtain the basic cellular structure and macroscale optimization to determine the framework layout within the cage to achieve the desired stiffness under simulated physiological loading conditions. Numerical simulations of fusion surgery confirmed that the optimized porous cage reduced the stress shielding phenomenon and the subsidence risk of the cage. Further, the cage was prepared via laser powder bed fusion and post-treated via flowing acid etching method to achieve the designed mechanical properties and topological morphology. The compression experiments confirmed that the porous cage contributed to enhancing subsidence resistance. The proposed workflow can be expanded to the precise design, preparation, and biomechanical assessment of various porous implants.

Objective Spine fixation surgery affects the biomechanical environment in the sacroiliac joint (SIJ), which may lead to the SIJ pain or degeneration after surgery. The purpose of this study is to determine the impact of the number and position of fixed segments on the SIJs and provide references for surgeons to plan fixation levels and enhance surgical outcomes. Methods The intact lumbar‐pelvis finite element (FE) models and 11 fixation FE models with different number and position of fixed segments were developed based on CT images. A 400N follower load and 10° range of motion (ROM) of the spine were applied to the superior endplate of L1 to simulate the flexion, extension, bending and torsion motion after surgery. The peak stress on the SIJs, lumbar intervertebral discs, screws and rods were calculated to evaluate the biomechanical effects of fixation procedures. Results With the lowermost instrumented vertebra (LIV) of L5 or S1, the peak stress on SIJs increased with the number of fixed segments increasing. The flexion motion led to the greater von Mises stress on SIJ compared with other load conditions. Compared with the intact model, peak stress on all fixed intervertebral discs was reduced in the models with less than three fixed segments, and it increased in the models with more than three fixed segments. The stress on the SIJ was extremely high in the models with all segments from L1 to L5 fixed, including L1‐L5, L1‐S1 and L1‐S2 fixation models. The stress on the segment adjacent to the fixed segments was significant higher compared to that in the intact model. The peak stress on rods and screws also increased with the number of fixed segments increasing in the flexion, extension and bending motion, and the bending and flexion motions led to the greater von Mises stress on SIJs. Conclusion Short‐term fixation (≤2 segments) did not increase the stress on the SIJs significantly, while long‐term segment fixation (≥4 segments) led to greater stress on the SIJs especially when all the L1‐L5 segments were fixed. Unfixed lumbar segments compensated the ROM loss of the fixed segments, and the preservation of lumbar spine mobility would reduce the risks of SIJ degeneration.

Abstract Metamaterials are defined as artificially designed micro-architectures with unusual physical properties, including optical, electromagnetic, mechanical, and thermal characteristics. This study investigates the compressive mechanical and heat transfer properties of AlSi10Mg gradient metamaterials fabricated by Laser Powder Bed Fusion (LPBF). The morphology of the AlSi10Mg metamaterials was examined using an ultrahigh-resolution microscope. Quasi-static uniaxial compression tests were conducted at room temperature, with deformation behavior captured through camera recordings. The findings indicate that the proposed gradient metamaterial exhibits superior compressive strength properties and energy absorption capacity. The Gradient-SplitP structure demonstrated better compressive performance compared to other strut-based structures, including Gradient-Gyroid and Gradient-Lidinoid structures. With an apparent density of 0.796, the Gradient-SplitP structure exhibited an outstanding energy absorption capacity, reaching an impressive 23.57 MJ/m3. In addition, heat conductivity tests were performed to assess the thermal resistance of these structures with different cell configurations. The gradient metamaterials exhibited higher thermal resistance and lower thermal conductivity. Consequently, the designed gradient metamaterials can be considered valuable in various applications, such as thermal management, load-bearing, and energy absorption components.

Background Congenital lumbar facet joint defect is a rare congenital developmental disorder with only a few reported cases in the literature, primarily affecting the L5‐S1 segments. This study reports the first case of a defect in the left L3 inferior articular process; and presents a review of the existing literature on the subject, proposes a classification system, and validates the inter‐observer and intra‐observer reliability of this classification system. Case Presentation A 14‐year‐old boy presented to our orthopedic clinic with persistent lower back pain for 1 month. Imaging analysis, including CT scans, 3D reconstruction, and MRI, revealed a congenital lumbar facet joint defect at the L3 level, which has not been reported. Conservative treatment resulted in a significant improvement in his symptoms, and he is currently under follow‐up care. Conclusion Congenital defect of the lumbar facet joint is a rare spinal condition. This article reports the first patient with a defect in the left L3 inferior articular process and conducts a comprehensive literature review, proposing a classification of articular process defects into five types. The two most common types are Types B and C. We have demonstrated that this system is reliable and reproducible and have described the treatment of each type.

Deoxynivalenol (DON) is a type of mycotoxin commonly found in food and animal feed. When consumed, it can have harmful effects on the intestine. The porcine digestive system is physiologically similar to that of humans, making pigs a suitable model for studying DON-induced enterotoxicity. However, the exact ways DON causes intestinal damage in pigs still need to be fully understood. To address this knowledge gap, this study aimed to identify hub genes associated with enterotoxicity caused by DON exposure. Transcriptomic datasets from porcine jejunal explants exposed to DON were extensively analyzed using bioinformatic techniques in this study. A total of 265 differentially expressed genes (DEGs) were identified, with 238 being up-regulated and 27 being down-regulated, indicating that exposure to DON tends to increase gene expression. Further analysis revealed that the up-regulated DEGs were enriched in tumor necrosis factor, nuclear factor kappa-B, mitogen-activated protein kinases, and Janus kinase/signal transducer and activator of transcription-related signaling pathways. In addition, Weighted gene co-expression network analysis was performed to identify highly co-expressed modules. Then, genes in the highest co-expressed module were intersected with the up-regulated DEGs to construct a Protein-Protein Interaction network, resulting in 237 overlapping genes. Subsequently, 6 hub genes (CXCR4, PTGS2, ICAM1, IL-1A, IL-1B, and IL-10) that played a central role in the response to DON were identified using cytohubba in conjunction with the Molecular Complex Detection. In summary, exposure to DON is more likely to result in increased rather than decreased gene expression. Six of the upregulated genes, which are involved in immunoregulation and inflammation, were identified as hub genes related to DON-induced enterotoxicity in pigs. This study provides new insights into the mechanisms underlying DON-induced enterotoxicity and could guide interventions for this condition.

The advancement of remote sensing technology aids geologists in obtaining lithological maps more quickly, comprehensively, and accurately. However, key challenges in lithological mapping include the limited spectral information from individual sensors and the difficulties in visually interpreting lithological samples. In this study, we integrated 241 scenes of optical data and 106 scenes of radar data on the Google Earth Engine (GEE) platform, proposing a rapid lithological identification framework that combines an automatic lithological sample data generation strategy with multi-source data. Using various machine learning algorithms, we evaluated the classification capabilities of heterogeneous predictive factors, feature optimization algorithms, and object-based algorithms. Results indicate that: (1) Combining optical and radar data improves prediction accuracy, with terrain data further enhancing mapping capabilities; (2) Terrain factors contribute most to classification, but SWIR and TIR bands of optical data are critical for lithological identification; (3) The feature optimization algorithm reduces feature redundancy and efficiency issues from multi-source data, achieving 96.51% accuracy with the optimal feature model, an improvement of 0.1%−2.02% over original features; (4) Object-based algorithms show significant potential in mapping areas with large rock outcrops. This study offers new insights for medium- to large-scale lithological maps and provides essential data support for geological work.

Abstract Background Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is required. New method In this study, we provide a classification approach for SZ patients based on a spatial–temporal residual graph convolutional neural network (STRGCN). The model primarily collects spatial frequency features and temporal frequency features by spatial graph convolution and single-channel temporal convolution, respectively, and blends them both for the classification learning, in contrast to traditional approaches that only evaluate temporal frequency information in EEG and disregard spatial frequency features across brain regions. Results We conducted extensive experiments on the publicly available dataset Zenodo and our own collected dataset. The classification accuracy of the two datasets on our proposed method reached 96.32% and 85.44%, respectively. In the experiment, the dataset using delta has the best classification performance in the sub-bands. Comparison with existing methods Other methods mainly rely on deep learning models dominated by convolutional neural networks and long and short time memory networks, lacking exploration of the functional connections between channels. In contrast, the present method can treat the EEG signal as a graph and integrate and analyze the temporal frequency and spatial frequency features in the EEG signal. Conclusion We provide an approach to not only performs better than other classic machine learning and deep learning algorithms on the dataset we used in diagnosing schizophrenia, but also understand the effects of schizophrenia on brain network features.

Abstract Investigating the anti‐inflammatory effects of bioactive components present in cold‐pressed rapeseed oil through the use of network pharmacology and molecular docking methods. The components of cold‐pressed rapeseed oil were identified by liquid chromatography‐mass spectrometry. We then conducted Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis using bioinformatics databases on overlapping targets affected by active components and inflammation. Finally, molecular docking was used to predict the interactions between core components and key targets. Analysis identified 13 phenols, four steroids, and one retinoid in cold‐pressed rapeseed oil, with 143 overlapping targets related to inflammation. Bioinformatics analysis revealed that 25‐Hydroxycholesterol, Rosmarinic acid, 9‐cis‐Retinoic acid, Soyasapogenol B and α‐Tocopherol in cold‐pressed rapeseed oil could play a positive role in treating inflammation. They achieved this by regulating key targets (MMP9, EGFR, AKT1, ESR1, and PTGS2) involved in the peroxisome proliferator‐activated receptor signaling pathway and other related pathways. The molecular docking binding energy of the core components and the key targets were less than −5.0 kcal/mol, indicating that the components and the targets can be stably bound. This result indicated that the active components found in cold‐pressed rapeseed oil may exert an anti‐inflammatory effect through a synergistic mechanism involving multicomponent, multitarget and multipathway interactions.

Objective To establish the indicator and fuzzy evaluation model for the procurement demonstration of key instruments and equipment, in order to provide a scientific and reliable method for the procurement demonstration of equipment in blood centers. Methods Through literature review and Delphi method, the procurement evaluation indexes of key instruments and equipment in blood centers were established. The weights of each index were calculated using analytic hierarchy process (AHP) by sending questionnaires to experts. According to the established indicator and fuzzy comprehensive evaluation method, a scoring model of procurement demonstration of key instruments and equipment was constructed. The blood screening total laboratory automation was analyzed and verified using the established demonstration model. Results A total of 4 first-level evaluation indicators and 16 second-level evaluation indicators were established. The weights of urgency, social benefit, economic benefit and technical condition were 0.496, 0.300, 0.051 and 0.153, respectively. For the blood screening assembly line system to be procured, the evaluation value was 0.629, and it passed the procurement demonstration. Conclusion The quantitative and scientific evaluation of the procurement evaluation can be carried out by establishing the evaluation index and fuzzy comprehensive evaluation method for the key instruments and equipment of blood centers.

It is commonly believed that the atmosphere is decoupled from the solid Earth. Thus, it is difficult for the seismic wave energy inside the Earth to propagate into the atmosphere, and atmospheric pressure wave signals excited by earthquakes are unlikely to exist in atmospheric observations. An increasing number of studies have shown that earthquakes, volcanoes, and tsunamis can perturb the Earth's atmosphere due to various coupling effects. However, the observations mainly focus on acoustic waves with periods of less than 10 min and inertial gravity waves with periods of greater than 1 h. There are almost no clear observations of gravity waves that coincide with observations of low-frequency signals of the Earth's free oscillation frequency band within 1 h. This paper investigates atmospheric gravity wave signals within 1 h of surface-atmosphere observations using the periodogram method based on seismometer and microbarometer observations from the global seismic network before and after the July 29, 2021 MW8.2 Alaska earthquake in the United States. The numerical results show that the atmospheric gravity wave signals with frequencies similar to those of the Earth's free oscillations 0S2 and 0T2 can be detected in the microbarometer observations. The results confirm the existence of atmospheric gravity waves, indicating that the atmosphere and the solid Earth are not decoupled within this frequency band and that seismic wave energy excited by earthquakes can propagate from the interior of the Earth to the atmosphere and enhance the atmospheric gravity wave signals within 1 h.

BackgroundShort stature is a complex disorder with phenotypic and genetic heterogeneity. This study aimed to investigate clinical phenotypes and molecular basis of a cohort of patients with short stature.MethodsTrio whole-exome sequencing (Trio-WES) was performed to explore the genetic aetiology and obtain a molecular diagnosis in twenty Chinese probands with syndromic and isolated short stature.ResultsOf the twenty probands, six (6/20, 30%) patients with syndromic short stature obtained a molecular diagnosis. One novel COMP pathogenic variant c.1359delC, p.N453fs*62 and one LZTR1 likely pathogenic variant c.509G>A, p.R170Q were identified in a patient with short stature and skeletal dysplasia. One novel de novo NAA15 pathogenic variant c.63T>G, p.Y21X and one novel de novo KMT2A pathogenic variant c.3516T>A, p.N1172K was identified in two probands with short stature, intellectual disability and abnormal behaviours, respectively. One patient with short stature, cataract, and muscle weakness had a de novo POLG pathogenic variant c.2863 T>C, p.Y955H. One PHEX pathogenic variant c.1104G>A, p.W368X was identified in a patient with short stature and rickets. Maternal uniparental disomy 7 (mUPD7) was pathogenic in a patient with pre and postnatal growth retardation, wide forehead, triangular face, micrognathia and clinodactyly. Thirteen patients with isolated short stature had negative results.ConclusionTrio-WES is an important strategy for identifying genetic variants and UPD in patients with syndromic short stature, in which dual genetic variants are existent in some individuals. It is important to differentiate between syndromic and isolated short stature. Genetic testing has a high yield for syndromic patients but low for isolated patients.

IntroductionFusarium wilt (FW) caused by Fusarium oxysporum f. sp. cucumerinum (Foc) is a destructive soil-borne disease in cucumber (Cucumis sativus. L). However, there remains limited knowledge on the molecular mechanisms underlying FW resistance-mediated defense responses in cucumber.MethodsIn this study, metabolome and transcriptome profiling were carried out for two FW resistant (NR) and susceptible (NS), near isogenic lines (NILs) before and after Foc inoculation. NILs have shown consistent and stable resistance in multiple resistance tests conducted in the greenhouse and in the laboratory. A widely targeted metabolomic analysis identified differentially accumulated metabolites (DAMs) with significantly greater NR accumulation in response to Foc infection, including many phenolic acid and flavonoid compounds from the flavonoid biosynthesis pathway.ResultsTranscriptome analysis identified differentially expressed genes (DEGs) between the NILs upon Foc inoculation including genes for secondary metabolite biosynthesis and transcription factor genes regulating the flavonoid biosynthesis pathway. Joint analysis of the metabolomic and transcriptomic data identified DAMs and DEGs closely associated with the biosynthesis of phenolic acid and flavonoid DAMs. The association of these compounds with NR-conferred FW resistance was exemplified by in vivo assays. These assays found two phenolic acid compounds, bis (2-ethylhexyl) phthalate and diisooctyl phthalate, as well as the flavonoid compound gallocatechin 3-O-gallate to have significant inhibitory effects on Foc growth. The antifungal effects of these three compounds represent a novel finding.DiscussionTherefore, phenolic acids and flavonoids play important roles in NR mediated FW resistance breeding in cucumber.

Background: Liposarcoma is a malignant tumor that originates from adipose tissue and can occur in any part of the body. There is currently no clear conclusion on whether there are significant differences in prognosis between liposarcoma at different anatomical locations, especially retroperitoneal liposarcoma (RLPS) and non retroperitoneal liposarcoma (NRLPS). The aim of this study is to reveal whether there are differences in prognosis between these two locations of liposarcoma, and further explore the fundamental reasons behind these differences. Methods: We conducted an in-depth investigation into the factors affecting the prognosis of patients with liposarcoma by analyzing the data from the Surveillance, Epidemiology, and End Results Program (SEER) database. Then, we used propensity score matching (PSM) to balance these prognostic factors for comparative analysis of survival between RLPS and NRLPS. In addition, by analyzing transcriptome and whole exome data from TCGA and the Japan Genotypic Phenotype Archive (JGA), we identified genes with significant expression differences and explored changes in the immune microenvironment. Result: Through analysis of RLPS and NRLPS patients in the SEER database, we observed significant prognostic differences between the two groups, with RLPS exhibiting worse prognosis (p

Abstract Here, an approach to produce a hierarchical porous Fe‐N‐C@TABOH catalyst with densely accessible high intrinsic active FeNx sites is proposed. The method involves a single‐step pyrolysis of Zn/Fe‐zeolitic imidazolate framework (Zn/Fe‐ZIF‐H) with tetrabutylammonium hydroxide (TABOH) micelles, which is obtained by utilizing TABOH as a structural template and electronic mediator at room temperature for a brief duration of 16 min. Notably, the yield of Zn/Fe‐ZIF‐H is 3.5 times that of Zn/Fe‐ZIF‐N prepared by conventional method. Results indicate that in addition to expediting synthesis and increasing yield of the Zn/Fe‐ZIF‐H, the TABOH induces a hierarchical porous structure and fosters the formation of more and higher intrinsic active FeNx moieties in Fex‐N‐C@TABOH, showing that TABOH is a multifunctional template. Crucially, the increased mesoporosity/external surface area and optimized microenvironment of Fe‐N‐C@TABOH significantly enhance ORR activity by facilitating the formation of high intrinsic active FeNx sites, increasing accessible FeNx sites, and reducing mass transfer resistance. Through structure tailoring and microenvironment optimization, the resulting Fe‐N‐C@TABOH exhibits superior ORR performance. DFT calculation further validates that the synergistic effect of these two factors leads to low ORR barrier and optimized *OH adsorption energy. This study underscores the importance of structure and electronic engineering in the development of highly active ORR catalysts.

Abstract Backgrounds Ampullary adenocarcinoma (AMPAC) is a rare malignancy, treated as pancreatic or intestinal cancer based on its histologic subtype. Little is known about the genomic features of Chinese patients with AMPAC. Materials and methods We enrolled 145 Chinese AMPAC patients in our local cohort and performed a compressive somatic and germline genetic testing using a 156 gene panel. Expression of PD-L1 (clone 28 − 8) was also assessed in tumor specimens from 64 patients. Results The frequency of genetic alterations (GAs) in Chinese patients with AMPAC was found to be distinctive, with TP53, KRAS, SMAD4, APC, CTNNB1, ARID1A, and CDKN2A emerged as the most frequently mutated genes. Comparing with Western patients, significant differences were observed in the prevalence of PIK3CA and ARID2. Furthermore, the incidence of MSI-H was lower in the Chinese cohort, with only two patients identified as MSI-H. Conversely, 11 patients (8.27%) had pathogenic/likely pathogenic germline alterations, all of which were in the DNA damage response (DDR) pathway. In our cohort, 34.48% (22/64) of patients exhibited positive PD-L1 expression in tumor cells, and this expression was associated with GAs in CTNNB1 and BLM. Importantly, over three-fourths of Chinese AMPAC patients in our study had at least one actionable GA, with more than one-fifth of them having actionable GAs classified as Level 3. These actionable GAs were primarily involved in the DDR and PI3K pathways. Notably, GAs in the DDR pathway were detected in both Chinese and Western patients, and regardless of their functional impact, these alterations demonstrated enhanced overall survival rates and higher tumor mutational burden (TMB) levels. Conclusion These findings underscore the distinct genomic landscape of Chinese AMPAC patients and highlight the potential for targeted therapies based on the identified GAs.

Ensuring sufficient protein intake, efficient digestion, and optimal absorption are crucial for the elderly. This study aims to investigate the potential of a compound dietary fiber, consisting of mulberry leaf and konjac flour (CMK), to enhance the digestion and absorption of a high-fish-protein diet in elderly mice. Results showed that CMK effectively reduced the number of unique peptide segments, generated short-chain fatty acids (SCFA) in feces, improved the content of glutamic pyruvic transaminase (GPT), glutamic oxaloacetic transaminase (GOT), amino acid, and urea nitrogen in serum, activated the contents of pepsin, trypsin, and erepsin, and enhanced the expression of glutamate dehydrogenase (GDH), peptide transporter 1 (PepT1), and aminopeptidase N (APN). Furthermore, CMK demonstrated its ability to decrease the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-10 (IL-10), lipopolysaccharide (LPS), and lipopolysaccharide binding protein (LBP), while increase the abundance of beneficial bacteria, such as Lactobacillus and Blautia. In conclusion, CMK proved effective in enhancing the digestion and metabolism of protein in elderly mice through the regulation of gut microbiota structure and intestinal tissue repair.

Abstract Introduction Triptolide (TP), a natural product derived from the herbal medicine Tripterygium wilfordii, exhibits potent immunosuppressive activity. However, the mechanisms underlying its effects in rheumatoid arthritis remain incompletely understood. Methods Collagen‐induced arthritis (CIA) model was induced in Sprague−Dawley rats by immunization with bovine type II collagen, and TP was administrated as treatment. The therapeutic effect of TP was evaluated based on paw swelling, histopathology, and serum levels of inflammatory factors. Exosomes isolated from rat serum were characterized by transmission electron microscopy, dynamic light scattering, and western blot analysis. Proteomic profiling of exosomes was analyzed by direct DIA quantitative proteomics analysis. Gene ontology and the Kyoto Encyclopedia of Genes and Genomes databases were employed for enrichment analysis related to molecular function, biological processes, and signaling pathways. Western blot analysis was used to analyze differentially expressed proteins. Results TP treatment ameliorated arthritic phenotypes in CIA rats as evidenced by reduced arthritis score, paw swelling, pathological injury severity scores, and serum levels of inflammatory cytokines. The proteomic analysis revealed that TP treatment significantly inhibited complement and coagulation cascades, interleukin‐17 signaling pathway, and cholesterol metabolism, which were reactivated in CIA rats. Importantly, lipocalin 2 (LCN2) and myeloperoxidase (MPO) levels were markedly upregulated in the CIA group but suppressed upon TP administration. Furthermore, in synovial tissues, LCN2 and MPO expression levels were also elevated in the CIA group but decreased following TP treatment. Conclusion Our findings demonstrate that TP alleviates CIA, possibly through modulation of exosomal LCN2 and MPO proteins.

IntroductionThe proportion of retroperitoneal malignant peripheral nerve sheath tumours (RMPNST) in retroperitoneal tumors is less than 5%, but the mortality rate is very high. However, there is no relevant research focused on RMPNST only.MethodsWe retrospectively analyzed data from the SEER database of patients with primary RMPNST from 2000 to 2019, by leveraging the advantages of the Seer database, we can explore the prognosis of such rare diseases. Kaplan-Meier method was used to construct the survival curve, and cox regression model was used to analyze the factors affecting the prognosis of patients. In addition, a model was developed to distinguish high-risk and low-risk patients.ResultsThis study included a total of 52 patients, with a median survival time of 39 months (95% CI 12.740–65.260) and a 5-year survival rate of 44.2% (95% CI 0.299–0.565). Radiotherapy (p = 0.004, OR: 1.475, 95% CI 0.718–3.033), metastasis disease (p = 0.002, OR: 5.596, 95% CI 2.449–47.079) and surgery (p = 0.003, OR: 5.003, 95% CI 0.011–0.409) were associated with overall survival (OS). The 5-year distant metastasis rate was 36% (95% CI 0.221–0.499). We used the above risk factors to separate patients into high and low groups and evaluate the results through the receiver operating characteristic (ROC) curve. This model is beneficial for guiding the selection of treatment strategies.ConclusionThe majority of RMPNST patients have a good prognosis after surgery, and the establishment of high-low group is helpful for clinical decision-making.

Drilling into fractured formations can easily lead to mud loss, which significantly affects drilling efficiency and increases drilling costs. In high-temperature and high-pressure environments, changes in mud properties render mud loss more uncontrollable. On the basis of a mud performance test in a high-temperature and high-pressure environment, and considering the time-varying characteristics of wellbore temperature and pressure and the distribution law of fracture temperature and pressure, a coupling model of temperature and pressure in the wellbore and fracture was established in this study. The developed model was solved numerically using the finite difference approximation, and the characteristics of the mud loss were analyzed. The effects of geothermal gradient, fracture parameters (fracture width, fracture length, and deformation capacity), mud properties (viscosity, yield value, and specific heat capacity), and operating conditions on mud loss were investigated. The model was validated using field measurement-while-drilling tool data of the LD1 well in the South China Sea. The results show that the average errors between the calculated temperature and pressure results of the numerical model and the actual data are 2.45% and 0.57%, respectively, which proves that the model has high accuracy in the prediction of the bottom hole temperature and pressure. A comparison of the predicted data of mud loss with the actual measured data indicates that the average error of the mud leakage model is 4.23%. This also demonstrates that the model has a high accuracy in predicting mud loss. In addition, the results show that the mud performance changes significantly under high-temperature and high-pressure conditions, which has a significant influence on mud loss. The geothermal gradient affected the mud properties and thus significantly affected the mud loss characteristics. The larger the mud pumping rate, the larger the bottomhole pressure difference and the more serious the mud loss. Blindly increasing mud viscosity is not advisable because it may lead to more serious losses. With an increase in the mud yield value, the mud flow resistance in the fractures can be significantly increased to inhibit mud loss. The larger the mud-specific heat capacity, the less mud loss is affected by the temperature. With an increase in the fracture width, the degree of mud loss gradually decreased. The larger the fracture length and deformation capacity, the more serious the mud loss. The fracture length and width could be inverted using the developed model.

In this article, we discuss both prospective and retrospective causal inferences, building on Neyman’s potential outcome framework. For prospective causal inference, we review criteria for confounders and surrogates to avoid the Yule–Simpson paradox and the surrogate paradox, respectively. For retrospective causal inference, we introduce the concepts of posterior causal effects given observed evidence to quantify the causes of effects. The posterior causal effects provide a unified framework for deducing both effects of causes in prospective causal inference and causes of effects in retrospective causal inference. We compare the medical diagnostic approaches based on Bayesian posterior probabilities and posterior causal effects for classification and attribution.

Green energy storage devices play vital roles in reducing fossil fuel emissions and achieving carbon neutrality by 2050. Growing markets for portable electronics and electric vehicles create tremendous demand for advanced lithium-ion batteries (LIBs) with high power and energy density, and novel electrode material with high capacity and energy density is one of the keys to next-generation LIBs. Silicon-based materials, with high specific capacity, abundant natural resources, high-level safety and environmental friendliness, are quite promising alternative anode materials. However, significant volume expansion and redundant side reactions with electrolytes lead to active lithium loss and decreased coulombic efficiency (CE) of silicon-based material, which hinders the commercial application of silicon-based anode. Prelithiation, pre-embedding extra lithium ions in the electrodes, is a promising approach to replenish the lithium loss during cycling. Recent progress on prelithiation strategies for silicon-based anode, including electrochemical method, chemical method, direct contact method, and active material method, and their practical potentials are reviewed and prospected here. The development of advanced Si-based material and prelithiation technologies is expected to provide promising approaches for the large-scale application of silicon-based materials.

For networking of big data applications, an essential issue is how to represent networks in vector space for further mining and analysis tasks, e.g., node classification, clustering, link prediction, and visualization. Most existing studies on this subject mainly concentrate on monoplex networks considering a single type of relation among nodes. However, numerous real-world networks are naturally composed of multiple layers with different relation types; such a network is called a multiplex network. The majority of existing multiplex network embedding methods either overlook node attributes, resort to node labels for training, or underutilize underlying information shared across multiple layers. In this paper, we propose Multiplex Network Infomax (MNI), an unsupervised embedding framework to represent information of multiple layers into a unified embedding space. To be more specific, we aim to maximize the mutual information between the unified embedding and node embeddings of each layer. On the basis of this framework, we present an unsupervised network embedding method for attributed multiplex networks. Experimental results show that our method achieves competitive performance on not only node-related tasks, such as node classification, clustering, and similarity search, but also a typical edge-related task, i.e., link prediction, at times even outperforming relevant supervised methods, despite that MNI is fully unsupervised.

Abstract Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologists for monitoring clinically silent MS disease activity and, where appropriate, escalating treatment, standard radiology reports are qualitative and may be insensitive to the development of new or enlarging lesions. Existing quantitative neuroimaging tools lack adequate clinical validation. In 397 multi-center MRI scan pairs acquired in routine practice, we demonstrate superior case-level sensitivity of a clinically integrated AI-based tool over standard radiology reports (93.3% vs 58.3%), relative to a consensus ground truth, with minimal loss of specificity. We also demonstrate equivalence of the AI-tool with a core clinical trial imaging lab for lesion activity and quantitative brain volumetric measures, including percentage brain volume loss (PBVC), an accepted biomarker of neurodegeneration in MS (mean PBVC −0.32% vs −0.36%, respectively), whereas even severe atrophy (>0.8% loss) was not appreciated in radiology reports. Finally, the AI-tool additionally embeds a clinically meaningful, experiential comparator that returns a relevant MS patient centile for lesion burden, revealing, in our cohort, inconsistencies in qualitative descriptors used in radiology reports. AI-based image quantitation enhances the accuracy of, and value-adds to, qualitative radiology reporting. Scaled deployment of these tools will open a path to precision management for patients with MS.

Abstract MicroRNAs (miRNAs) have been reported to serve as potential biomarkers in bladder cancer and play important roles in cancer progression. This study aimed to investigate the biological role of miR-205-3p in bladder cancer. We showed that miR-205-3p was significantly down-regulated in bladder cancer tissues and cells. Moreover, overexpression of miR-205-3p inhibited bladder cancer progression in vitro. Then we confirmed that GLO1, a downstream target of miR-205-3p, mediated the effect of miR-205-3p on bladder cancer cells. In addition, we found that miR-205-3p inhibits P38/ERK activation through repressing GLO1. Eventually, we confirmed that miR-205-3p inhibits the occurrence and progress of bladder cancer by targeting GLO1 in vivo by nude mouse tumorigenesis and immunohistochemistry. In a word, miR-205-3p inhibits proliferation and metastasis of bladder cancer cells by activating the GLO1 mediated P38/ERK signaling pathway and that may be a potential therapeutic target for bladder cancer.

Aimed at the difficulty of accurately reflecting the actual effect of the engineering application of the data center's energy consumption evaluation results. This paper, on the basis of the existing data center energy efficiency evaluation index, from the data center, data center air conditioning system, indirect evaporative cooling air conditioning equipment in three dimensions, respectively, put forward the data center indirect evaporative cooling air conditioning PUE coefficient, data center air conditioning energy utilization efficiency, indirect evaporative cooling air conditioning equipment refrigeration density and other evaluation indicators. By using the new evaluation indexes as well as the assignment analysis method, case studies were conducted on data centers with different cooling systems. The results show that the indirect evaporative cooling air-conditioning system has obvious advantages of power and water saving compared with the traditional chilled water system, but its refrigeration density index still has much room for improvement. The proposal of the new index improves the energy efficiency evaluation system of data centers and can lead to further improvement of the performance quality of related air conditioning products.

According to the proportion of 1:1, konjac flour and mulberry leaf powder are compounded into a kind of dietary fiber source (KMCP). It is found to be good for anti-inflammation. However, its precise anti-allergic rhinitis effect and mechanism remain unknown. In our work, the effect of KMCP on allergic rhinitis (AR) induced by ovalbumin (OVA) was investigated. We found that the number of nasal rubbing and sneezing, the eosinophil (EOS) count in the nasal mucosa, and the serum levels of histamine (HIS), OVA-specific immunoglobulin E (OVA-sIgE) and interleukin-4 (IL-4) were decreased, and the histopathological changes of nasal mucosa were inhibited. Additionally, the experiments further proved that the KMCP treatment could exert substantial effects on short-chain fatty acids (SCFAs) metabolism in the cecum as well. Overall findings suggest that KMCP could suppress the inflammatory response in AR mice, and serve as a novel curative therapeutic for AR without side effects.

Background: To evaluate the efficacy of stent-assisted coiling (SAC) for the treatment of carotid ophthalmic segment aneurysm segment aneurysms (OSAs) of the internal carotid artery (ICA) through detailed long-term follow-up of a large patient cohort. Methods: We retrospectively analyzed 88 consecutive patients with OSAs between January 2009 and January 2020 ​at our center. Angiographic results were evaluated using the modified Raymond grading system and clinical outcomes were evaluated using the mRS scale. The primary endpoints were major aneurysm recurrence and poor clinical outcomes for at least 18 months of follow-up. The patients were asked to attend clinical follow-up assessments and possibly undergo DSA or MR via telephone. Results: We enrolled 88 patients with 99 OSAs treated with coiling, of whom 76 were treated with SAC. The coiling procedures were successful in all 88 patients. Overall, complications occurred in 8 patients (9.1%). No procedure-related mortality was observed. 67 (76.1%) experienced immediate aneurysm occlusion at the end of the procedure. Long-term angiographic follow-up (18 months) was available in 45/88 aneurysms (51%) (average 18.7 ​± ​5.2 months). Four patients continued their follow-up for 5 years after initial aneurysm treatment. After a clinical follow-up time of 28.7 months (range, 12–51 months), 85 patients (95.5%) achieved favorable clinical outcomes (mRS scores of 0–2). Conclusions: This study indicates that SAC treatment is a safe and effective therapeutic alternative for ruptured and unruptured OSAs. The procedural risks are low with relatively long-term effectiveness.

Ectopic thyroid-stimulating hormone (TSH)-secreting tumors are extremely rare, with only 15 reported cases in the literature. Herein, we described a 60-year-old female patient with thyrotoxicosis and elevated or unsuppressed levels of TSH. Family history and laboratory and genetic tests did not support a diagnosis of resistance to thyroid hormone (RTH). Given the unsuppressed TSH, TSH-secreting tumor was suspected, and magnetic resonance imaging (MRI) of the pituitary gland was performed. Surprisingly, the MRI scans revealed a nodule in the nasopharynx rather than a pituitary tumor in the sella region. Further evaluation using Gallium-68 DOTATATE positron emission tomography/computed tomography (68Ga-DOTATATE PET/CT) demonstrated increased DOTATATE uptake in the nasopharyngeal nodule. Additionally, an octreotide suppression test (OST) revealed an obvious reduction in TSH levels, further supporting the suspicion of the nasopharyngeal mass as the cause of inappropriate TSH secretion. To prepare for surgery, the patient received preoperative administration of octreotide, resulting in the normalization of TSH and thyroid hormone levels. The patient subsequently underwent successful surgical removal of the nasopharyngeal mass. Following the procedure, the patient experienced complete resolution of hyperthyroidism symptoms, with TSH declined and thyroid hormone levels returned to normal. Histochemistry analysis of the tumor revealed positive staining for TSH, growth hormone (GH), prolactin (PRL), luteinizing hormone (LH), and somatostatin receptor 2 (SSTR2). We discussed differential diagnosis of hyperthyroidism due to inappropriate TSH secretion, with a particular emphasis on the importance of 68Ga-DOTATATE PET/CT in combination with OST for identifying ectopic pituitary tumors.

Background: Seasonal influenza vaccine (SIV) uptake (receipt of vaccine) in Manitoba, Canada is consistently low notwithstanding vaccine availability and free-of-charge vaccination. Despite, there is a lack of published evidence on the determinants of uptake of the vaccine. We sought to assess the association between SIV uptake and certain population and primary care physician (PCP) characteristics in Manitoba. Methods: We conducted a longitudinal study utilizing Manitoba administrative health databases. We summarized SIV uptake from 2000/01–2019/20 influenza seasons across subpopulations defined by socioeconomic, health-related and PCP characteristics. Utilizing multivariable generalized estimating equation logistic regression models, we assessed the association between SIV uptake and the socioeconomic, health-related and PCP characteristics, stratified by age group (

Objectives Delirium is a form of brain dysfunction with high incidence and is associated with many negative outcomes in the intensive care unit. However, few studies have been large enough to reliably examine the associations between body mass index (BMI) and delirium, especially in critically ill patients. The objective of this study was to investigate the association between BMI and delirium incidence in critically ill patients.Design A retrospective cohort study.Setting Data were collected from the Medical Information Mart for Intensive Care-IV V2.0 Database consisting of critically ill participants between 2008 and 2019 at the Beth Israel Deaconess Medical Center in Boston.Participants A total of 20 193 patients with BMI and delirium records were enrolled in this study and were divided into six groups.Primary outcome measure Delirium incidence.Results Generalised linear models and restricted cubic spline analysis were used to estimate the associations between BMI and delirium incidence. A total of 30.81% of the patients (6222 of 20 193) developed delirium in the total cohort. Compared with those in the healthy weight group, the patients in the different groups (underweight, overweight, obesity grade 1, obesity grade 2, obesity grade 3) had different relative risks (RRs): RR=1.10, 95% CI=1.02 to 1.19, p=0.011; RR=0.93, 95% CI=0.88 to 0.97, p=0.003; RR=0.88, 95% CI=0.83 to 0.94, p

Abstract Background Cattle (Bos taurus) are a major large livestock, however, compared with other species, the transcriptional specificity of bovine oocyte development has not been emphasised. Results To reveal the unique transcriptional signatures of bovine oocyte development, we used integrated multispecies comparative analysis and weighted gene co-expression network analysis (WGCNA) to perform bioinformatic analysis of the germinal follicle (GV) and second meiosis (MII) gene expression profile from cattle, sheep, pigs and mice. We found that the expression levels of most genes were down-regulated from GV to MII in all species. Next, the multispecies comparative analysis showed more genes involved in the regulation of cAMP signalling during bovine oocyte development. Moreover, the green module identified by WGCNA was closely related to bovine oocyte development. Finally, integrated multispecies comparative analysis and WGCNA picked up 61 bovine-specific signature genes that participate in metabolic regulation and steroid hormone biosynthesis. Conclusion In a short, this study provides new insights into the regulation of cattle oocyte development from a cross-species comparison.

Background Joint local context that is primarily processed by pre-trained models has emerged as a prevailing technique for text classification. Nevertheless, there are relatively few classification applications on small sample of industrial text datasets. Methods In this study, an approach of employing global enhanced context representation of the pre-trained model to classify industrial domain text is proposed. To achieve the application of the proposed technique, we extract primary text representations and local context information as embeddings by leveraging the BERT pre-trained model. Moreover, we create a text information entropy matrix through statistical computation, which fuses features to construct the matrix. Subsequently, we adopt BERT embedding and hyper variational graph to guide the updating of the existing text information entropy matrix. This process is subjected to iteration three times. It produces a hypergraph primary text representation that includes global context information. Additionally, we feed the primary BERT text feature representation into capsule networks for purification and expansion as well. Finally, the above two representations are fused to obtain the final text representation and apply it to text classification through feature fusion module. Results The effectiveness of this method is validated through experiments on multiple datasets. Specifically, on the CHIP-CTC dataset, it achieves an accuracy of 86.82% and an F1 score of 82.87%. On the CLUEEmotion2020 dataset, the proposed model obtains an accuracy of 61.22% and an F1 score of 51.56%. On the N15News dataset, the accuracy and F1 score are 72.21% and 69.06% respectively. Furthermore, when applied to an industrial patent dataset, the model produced promising results with an accuracy of 91.84% and F1 score of 79.71%. All four datasets are significantly improved by using the proposed model compared to the baselines. The evaluation result of the four dataset indicates that our proposed model effectively solves the classification problem.

PurposeTo investigate the potential role of the unique sound of tennis in alleviating anxiety. Previous research has consistently shown that exercise can mitigate anxiety, primarily attributed to the impact of increased physical activity on hormonal and neurostructural changes. However, in daily life we find that one of the reasons people are drawn to tennis is its distinctive sound. In this study, we specifically examined the influence of this sound on anxiety.Methods and resultsIn a randomized controlled experiment involving 96 participants reporting chronic anxiety (n1 = n2 = 48), we found that the control group exhibited an average reduction of 0.00156 in anxiety scores 4 weeks before and after the study. On the other hand, the experimental group, exposed to tennis stroke sound stimuli, showed an average reduction of 0.02896 in anxiety scores after 4 weeks, with some individuals even experiencing a decrease from anxiety to mild anxiety. Furthermore, the analysis of sound data revealed that the sound of tennis exhibited a pleasing timbre, with the primary sound frequencies ranging from 100 to 2,800 Hz. The rhythm of the sound had an average interval of approximately 1.758″ (± 0.41), corresponding to speed of approximately 93.6 km/h. The sound exhibited a steady rhythm, orderly variations in pitch, and a soothing timbre.ConclusionThis study confirms that the sound of tennis alone contributes to anxiety relief, attributed to its suitable loudness, steady rhythm, and orderly variations in pitch, all of which align with human auditory characteristics. This indicates that a considerable portion of the anxiety-alleviating effects of tennis attributed to its comforting sound.

Silicon nano/microstructures are widely utilized in the semiconductor industry, and plasma etching is the most prominent method for fabricating silicon nano/microstructures. Among the variety of silicon nano/microstructures, black silicon with light-trapping properties has garnered broad interest from both the scientific and industrial communities. However, the fabrication mechanism of black silicon remains unclear, and the light absorption of black silicon only focuses on the near-infrared region thus far. Herein, we demonstrate that black silicon can be fabricated from individual flower-like silicon microstructures. Using fluorocarbon gases as etchants, silicon flower microstructures have been formed via maskless plasma etching. Black silicon forming from silicon flower microstructures exhibits strong absorption with wavelength from 0.25 μm to 20 μm. The result provides novel insight into the understanding of the plasma etching mechanism in addition to offering further significant practical applications for device manufacturing.

In view of the problems existing in traditional shaft safety monitoring methods such as low efficiency(need monitoring after production stop), less data and large error, a method of monitoring shaft tilt deformation with laser SLAM (Simultaneous Localization and Mapping) technology was proposed. The main shaft of Niuerzhuang Mine of Fengfeng Group was taken as the research object, the monitoring plan was designed and the laser SLAM technology was used to perceive the internal information of shaft. The K′-means algorithm was adopted to extract the point cloud of shaft boundary, the Markov mathematical model was established to get the center of point cloud slice, and then to the shaft center datum line was set up, the shaft tilt deformation was analyzed based on integral and subsection methods. The results showed that the overall vertical inclination of the shaft was 1.99‰, the vertical inclination of upper shaft(0-100 m away from the shaft head) was 3.06‰, and the vertical inclination of lower shaft(150-205 m away from the shaft head) was 1.85‰. Compared with the traditional monitoring method, the working time of laser SLAM can be shortened from one day or even longer to one hour. The monitoring work can be completed within the maintenance time of the shaft cage, and the work efficiency is significantly improved without stopping production.

Abstract Horizontal wells with a slim hole (HW‐SH), characterized by high productivity, high environmental protection, and low cost are gradually being introduced into oil and gas extraction processes in high‐temperature and high‐pressure formations. However, the HW‐SH annulus is narrow, and the distributions of temperature and pressure in the wellbore are very different from those of conventional horizontal wells. Furthermore, the mud properties change under the influence of high temperature and pressure. In this study, a numerical model of the transient temperature‐pressure coupling field in an HW‐SH wellbore was developed based on high‐temperature and high‐pressure performance tests of mud, combined with the characteristics of a narrow annulus in HW‐SH. Subsequently, the effects of the ground temperature gradient, displacement, drill pipe speed, annulus size, and joint size on the temperature‐pressure coupling field were analyzed. Measured data from the HW‐SH drilled in the Mahu field in China were used to validate the developed model. The results showed that the ground temperature had a significant effect on the mud density and rheological properties. As the temperature increased, the mud density decreased, and its rheological properties improved. Although pressure also has a large effect on density, it has a negligible effect on the rheological properties of the mud. The coupled temperature‐pressure field model for HW‐SH considering the effects of the temperature and narrow annulus can predict the annulus temperature and pressure with an accuracy of up to 97%. The ground temperature gradient has the greatest influence on the HW‐SH annular temperature, larger than that of the displacement. In addition, the annular size, rotation speed of the drill pipe, and joint size have almost no influence on the annular temperature. Compared to those of conventional horizontal wells, the rotational speed, annulus size, and joint size of the HW‐SH have a greater impact on the annulus pressure.

Obesity has become one of the most prevalent chronic diseases worldwide, which affects people's health and daily lives. Therefore, this study aimed to investigate the anti-obesity effects of perilla seed oil (PSO), sunflower oil (SFO), and tea seed oil (TSO) and their potential mechanisms in mice fed a high-fat diet (HFD). Mice were divided into five groups: ND, mice fed a normal diet; HFD, mice fed a high-fat diet; PSO, SFO, and TSO, mice fed a high-fat diet supplemented with PSO, SFO, and TSO at 2 g/kg body weight per day, respectively. Our findings showed that oral supplementation with all three oils for 8 weeks significantly reduced body weight, tissue weight, insulin resistance index, serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and free fatty acids (FFA), and markedly alleviated hyperglycemia, hyperlipidemia, and hepatic steatosis in obese mice. It also decreased leptin, pro-inflammatory cytokines, such as tumor necrosis factor-alpha (TNF-α), interleukin (IL)-6, and (IL)-1beta (IL-1β), and increased anti-inflammatory adipokine adiponectin at both secretion and mRNA expression levels in the epididymal adipose tissue (EAT). Moreover, PSO, SFO, and TSO administration increased the expression levels of fatty acid β-oxidation-related genes, including peroxisome proliferator-activated receptor-alpha (PPAR-α), carnitine palmitoyltransferase 1a (CPT1a) and CPT1b, and thermogenesis-related genes such as uncoupling protein 1 (UCP1), and decreased the expression levels of lipid synthesis-related genes, including fatty acid synthase (FAS) and PPAR-γ in EAT. In conclusion, PSO, SFO, and TSO supplementation could have potential anti-obesity effects in HFD-fed mice by reducing inflammation and improving lipid metabolism.

Objectives Bags such as handbags, shoulder bags, and backpacks are commonly used. However, it is difficult to assess the biomechanical effects of bag‐carrying styles on the lumbar spine and paraspinal muscles using traditional methods. This study aimed to evaluate the biomechanical effects of bag‐carrying styles on the lumbar spine. Methods We developed a hybrid model that combined a finite element (FE) model of the lumbar spine and musculoskeletal models of three bag‐carrying styles. The image data was collected from a 26‐years‐old, 176 cm and 70 kg volunteer. OpenSim and ABAQUS were used to do the musculoskeletal analysis and finite analysis. Paraspinal muscle force, intervertebral compressive force (ICF), and intervertebral shear force (ISF) on L1 were calculated and loaded into the FE model to assess the stress distribution on the lumbar spine. Results Different paraspinal muscle activation occurred in the three bag‐carrying models. The increase in the ICF generated by all three bags was greater than the bags' weights. The handbag produced greater muscle force, ICF, ISF, and peak stress on the nucleus pulposus than the backpack and shoulder bag of the same weight. Peak stress on the intervertebral discs in the backpack model and the L1–L4 segments of the shoulder bag model increased linearly with bag weight, and increased exponentially with bag weight in the handbag model. Conclusion Unbalanced bag‐carrying styles (shoulder bags and handbags) led to greater muscle force, which generated greater ICF, ISF, and peak stress on the lumbar spine. The backpack produced the least burden on the lumbar spine and paraspinal muscles. Heavy handbags should be used carefully in daily life.

In the routine inspection process of railway catenary systems, the primary task is to find out the locations of various components accurately. The complex composition of the components in the catenary system and their large dimensional differences make the inspection of small components considerably difficult. Aiming at the problem of the difficulty in locating small components, a new locating method, named asymmetrically effective decoupled head-you only look once (AED-YOLO), for locating small components of the catenary has been proposed in this study. In this method, firstly, a small object detection layer has been added to improve the detection accuracy of the small-sized components such as fastener nuts and bracing wire. Secondly, to reduce missed and false detection errors of small components, the improved bidirectional feature pyramid network with high-order spatial interactions and recursive gated convolution has been used to fuse the features of different scales to further enhance the ability to detect small objects. Finally, an asymmetrically effective decoupled head has been proposed using different decoupled branches to decouple the classification and localization processes, thus further reducing the error in small-sized object classification and location. Experiments performed on the railway catenary dataset collected on-site show that the proposed localization method can efficiently improve detection accuracy, achieving a mean average precision of 93.5%. Thus, compared to the other methods, the proposed method can accurately locate small-sized components.

As the second batch of international wetland cities, Wuhan and Nanchang, both provincial capital cities in China, have abundant wetland resources. An important sign of achievement of protecting the urban wetland areas is the international wetland city designation. Understanding the growth and changes of wetlands in international wetland cities is necessary for wetland protection and management. Thus, it is crucial to conduct proper wetland mapping in these international wetland cities. By studying wetland cities, sustainable planning can be provided to promote the coordinated development of wetlands and cities. In this research, Google Earth Engine and random forest machine learning were used. According to the “Data-Information-Knowledge-Wisdom” research framework, we carried out mapping of diverse wetlands in Wuhan and Nanchang with a resolution of 10 m in 2015 and 2020. Then, using the findings of wetland mapping, we examined changes in the wetland landscapes of the two cities. Finally, this study examined changes in international wetland city indicators over this time frame. The research results are as follows. 1) Our wetland mapping results in 2015 and 2020 achieved good accuracy, with an overall accuracy of over 0.90 and a kappa coefficient of over 0.85. 2) The total wetland area in both cities increased. Nanchang grew by 91.11 km2, whereas Wuhan grew by 290.68 km2. Most restored wetland areas were far from urban construction areas. In the two cities, the fragmentation of wetlands decreased, the diversity of wetlands increased, and the growth rate of wetlands was high. 3) Wetland rates rose from 17.79% to 19.07% in Nanchang and from 19.74% to 23.12% in Wuhan, according to mapping results between 2015 and 2020. The wetland protection rate in Nanchang remained unchanged, but the wetland protection rate in Wuhan decreased. Wuhan needs to strengthen the protection of increased wetlands. In addition, the study found that most of the increased areas of wetlands were previously cultivated land. The international wetland mapping framework of this study can be easily implemented in other regions of the world.

Objective To explore the intertemporal decision⁃making disorder in patients with Parkinson's disease (PD). Methods From January 2020 to August 2021, a total of 36 patients with PD (PD group) who diagnosed and treated in The Second People's Hospital of Hefei and The Second Affiliated Hospital of Soochow University were selected, and 39 healthy controls (control group) with matched gender age and eudcation were recruited. Hamilton Anxiety Rating Scale (HAMA), Hamilton Depression Rating Scale (HAMD), Mini⁃Mental State Examination (MMSE), Verbal Fluency Test (VFT), Digit Span Test (DST), and Stroop Color⁃Word Test (SCWT) were used to evaluate the neuropsychological characteristics, the delay⁃discount rate K value in the intertemporal decision⁃making paradigm were used to evaluate the intertemporal decision⁃making ability. Results Compared with control group, the PD group had a decrease in MMSE score (Z=⁃4.536, P=0.000), correct number of VFT (Z=⁃4.555, P=0.000), correct repetition of DST⁃forwards (Z=⁃4.696, P=0.000) and DST⁃backwards (Z=⁃3.261, P=0.001), while had an increase in HAMA score (Z=⁃5.153, P=0.000), HAMD score (Z=⁃5.637, P=0.000), Stroop C-A (Z=⁃7.105, P=0.000) and K value (Z=⁃3.209, P=0.004). Correlation analysis showed that there was no correlation between K value and MMSE score, correct number of VFT, Stroop C-A, and correct repetition of DST⁃forwards and DST⁃backwards in PD patients (P＞0.05, for all). Conclusions Patients with PD have symptoms of intertemporal decision⁃making disorder. They can't reasonably balance the value of delayed reward, prefer immediate reward, and have more impulsive decision⁃making behavior.

The special temperature-pressure environment and narrow safety density window of the deepwater formation pose a great challenge to wellbore pressure control during drilling. The downhole variable-gradient drilling method is an effective idea to solve this challenge. However, previous studies mainly focused on the theoretical adaptability analysis of this method, while the experimental feasibility verification has not yet been reported. In this paper, based on the segmental control principle of wellbore fluid density, we set up an indoor physical experiment system to investigate the feasibility of variable-gradient drilling method based on downhole cyclone separator. Using this experimental system, we investigated the effect of drilling fluid physical parameters, hollow glass microsphere (HGMS) performance parameters and engineering parameters on the separator separation efficiency, wellbore pressure gradient and HGMS slip rate. The experimental results revealed that the separator could separate the HGMSs into the annulus from the fluid mixture in the drill pipe. The separation efficiency increased with the increase in the HGMS diameter, HGMS concentration and flow rate, while decreased with the increase in the HGMS density and fluid viscosity. The HGMS density and HGMS concentration were the key factors affecting the annulus pressure gradient value, and the separator separation efficiency was the main factor determining the difference of the annulus pressure gradient. The HGMS slip rate was highly sensitive to its diameter and fluid viscosity, and a combination of optimal HGMS diameter and fluid viscosity could avoid the drilling risk caused by the HGMS slippage. Therefore, the variable-gradient drilling method based on downhole separator is feasible, which is able to create two or more pressure gradients in the annulus. This study could provide guidance for the optimization of key parameters and the development of equipment related to the variable-gradient drilling.