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43 result(s) for "Ji, Pengjie"
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Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma
Background Head and neck squamous cell carcinoma (HNSCC) are the most common cancers in the head and neck. Therapeutic response-related genes (TRRGs) are closely associated with carcinogenesis and prognosis in HNSCC. However, the clinical value and prognostic significance of TRRGs are still unclear. We aimed to construct a prognostic risk model to predict therapy response and prognosis in TRRGs-defined subgroups of HNSCC. Methods The multiomics data and clinical information of HNSCC patients were downloaded from The Cancer Genome Atlas (TCGA). The profile data GSE65858 and GSE67614 chip was downloaded from public functional genomics data Gene Expression Omnibus (GEO). Based on TCGA-HNSC database, patients were divided into a remission group and a non-remission group according to therapy response, and differentially expressed TRRGs between those two groups were screened. Using Cox regression analysis and Least absolute shrinkage and selection operator (LASSO) analysis, candidate TRRGs that can predict the prognosis of HNSCC were identified and used to construct a TRRGs-based signature and a prognostic nomogram. Result A total of 1896 differentially expressed TRRGs were screened, including 1530 upregulated genes and 366 downregulated genes. Then, 206 differently expressed TRRGs that was significantly associated with the survival were chosen using univariate Cox regression analysis. Finally, a total of 20 candidate TRRGs genes were identified by LASSO analysis to establish a signature for risk prediction, and the risk score of each patient was calculated. Patients were divided into a high-risk group (Risk-H) and a low-risk group (Risk-L) based on the risk score. Results showed that the Risk-L patients had better overall survival (OS) than Risk-H patients. Receiver operating characteristic (ROC) curve analysis revealed great predictive performance for 1-, 3-, and 5-year OS in TCGA-HNSC and GEO databases. Moreover, for patients treated with post-operative radiotherapy, Risk-L patients had longer OS and lower recurrence than Risk-H patients. The nomogram involves risk score and other clinical factors had good performance in predicting survival probability. Conclusions The proposed risk prognostic signature and Nomogram based on TRRGs are novel promising tools for predicting therapy response and overall survival in HNSCC patients.
Tailoring photocatalysts to modulate oxidative potential of anilides enhances para-selective electrochemical hydroxylation
Phenolic compounds have long captivated the interest of organic synthesis, particularly in their quest for selective hydroxylation of arenes using H 2 O as a hydroxyl source. However, the inherent high reactivity and low redox potential of phenols often lead to undesirable overoxidation byproducts. To address this challenge, herein, we develop an electrophotochemical approach, finetuning substrate oxidative potential and enabling para -selective hydroxylation of anilides. This method showcases versatility, accommodating a wide array of substrates, while revealing high regional selectivity and compatibility with diverse functional groups. Moreover, the protocol allows facile late-stage functionalization of biologically active molecules. Mechanistic investigations demonstrate the activation of anilides by the excited state photocatalyst, effectively decreasing their oxidative potential and enhancing regional selectivity during hydroxylation. By using this protocol, important drug molecules such as Paracetamol, Fenretinide, Practolol, and AM404 could be synthesized, demonstrating the applicability of this approach in drug synthesis and late-stage functionalization. Phenolic compounds have long captivated the interest of organic synthesis, particularly in their quest for selective hydroxylation of arenes using H 2 O as a hydroxyl source but the inherent high reactivity and low redox potential of phenols often lead to undesirable overoxidation byproducts. Here the authors develop an electrophotochemical approach, finetuning substrate oxidative potential and enabling para -selective hydroxylation of anilides.
A Calm, Dispassionate Look at Skin Microbiota in Atopic Dermatitis: An Integrative Literature Review
Atopic dermatitis (AD) is a chronic common inflammatory skin disorder with clinical characteristics of pruritic, dry, and recurrent flares that involve the whole body. Recent studies have demonstrated that the skin microbiota, characterized by an overgrowth of Staphylococcus aureus ( S .  aureus ), plays a critical role in the manifestation of AD. There is striking evidence that skin microbiota can modulate the development and progression of AD. Therefore, more and more therapeutic approaches are adopted for modifying skin microbiota. Here we discuss the role of skin microbiota in the etiology and maintenance of AD; furthermore, we summarize the effects of therapeutic treatments on skin microbiota in AD based on published literature. With the help of the theoretical guidance suggested by microbial metagenome analysis, the reconstitution of microbiota should be a promising way to harness the pathogens of AD and could be used as a brand-new therapeutic strategy in clinical trials. We believe that the targeted therapy of dysbiosis in AD may possibly become a unique approach to an integrated treatment program in the near future.
Synergistic Effects of Deep Cryogenic and Pulsed Magnetic Field Treatments on the Microstructure and Tensile Properties of Aero-TC4 Titanium Alloy
A novel coupled processing method (PDCT) that associated deep cryogenic treatment (DCT) with a high pulsed magnetic field (PMT) was investigated to improve the performance of an as-cast TC4 aero-titanium alloy. Through XRD, SEM, TEM, EBSD, and a properties test, its microstructure and tensile properties and their relationship were investigated. The results show that in comparison with the untreated samples, in the PDCT alloys, the amount of nano-sized precipitates and dislocation density are increased, and this phenomenon is characterized by their combed dislocation morphology. The grain sizes are refined and rounded, and the deformed grains are enhanced, together with the enhancement of low-angle grain boundaries in grains and the transformation from the β phase to the α phase. The (112) crystal orientation is apparently strengthened. The tensile strength, elongation, and fracture energy of the optimized PDCT sample are 921.4 MPa, 7.6% and 5.47 × 107 J/m3, which increased by 4.9%, 28.8% and 80.5% compared with the untreated sample, respectively. The tensile fracture exhibits rheological deformation along the phase boundaries. The strength–toughness mechanisms are mainly attributed to the texture, precipitation, dislocation and fine grain strengthening, which stem from the cold contraction and lattice distortion of DCT and the main magneto-plasticity effect of PMT, together with their coupling effects.
A modified technique of transanal specimen extraction in the laparoscopic anterior rectal resection for upper rectal or lower sigmoid colon cancer: a retrospective study
Background In recent years, natural orifice specimen extraction surgery (NOSES) has become a field of special interest for colorectal surgeons. Some researchers have reported transanal specimen extraction in the laparoscopic anterior rectal resection, including intersphincteric resection (ISR) and rectal eversion-resection. However, these surgical procedures have certain limitations. Based on the proven expertise in laparoscopic surgery, our center has developed a modified technique of transanal specimen extraction. The aim of this study was to investigate the safety and feasibility of a modified technique of transanal specimen extraction in the laparoscopic anterior rectal resection. Methods From January 2011 to January 2014, the patients with upper rectal or lower sigmoid colon cancer who had undergone laparoscopic anterior rectal resection with specimen extraction by a modified transanal technique were enrolled in the observation group, and the patients who had undergone laparoscopic anterior rectal resection with specimen extraction via an abdominal incision by the same surgeons during the same period were enrolled in the control group. Results A total of 36 patients were included in the observation group and 128 patients were included in the control group. There were no significant differences ( P  > 0.05) between the two groups in terms of the mean operative time [144 ± 10 min vs. 141 ± 11 min], mean intraoperative blood loss [63 ± 6 ml vs. 61 ± 7 ml], and the mean time to anal exhaust [67 ± 7 h vs. 65 ± 8 h]. However, there were significant differences ( P  < 0.05) between the two groups in terms of the mean postoperative Visual Analogue Scale (VAS) pain scores [3.4 ± 1.1 vs. 4.5 ± 1.2], mean postoperative hospital stay [6.0 ± 1.1 days ± vs. 7.2 ± 1.2 days], and incidence of postoperative complications (4/36 vs. 15/128). Long-term follow-up results showed that there was no significant difference ( P  > 0.05) between the two groups in terms of the 3- or 5-year overall survival. Conclusions The modified technique of transanal specimen extraction in the laparoscopic anterior rectal resection fulfilled the principle of no-neoplasm touch technique, with advantages, such as minimal trauma, rapid recovery, and fewer complications. Long-term follow-up results also showed satisfactory oncological outcomes.
The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China
Most species of the Russulaceae are ectomycorrhizal (ECM) fungi, which are widely distributed in different types of forest ecology and drive important ecological and economic functions. Little is known about the composition variation of the Russulaceae fungal community aboveground and in the root and soil during the growing season (June-October) from a forest. In this study, we investigated the changes in the composition of the Russulaceae during the growing season of this type of forest in Wudalianchi City, China. To achieve this, the Sanger sequencing method was used to identify the Russulaceae aboveground, and the high-throughput sequencing method was used to analyze the species composition of the Russulaceae in the root and soil. Moreover, we used the Pearson correlation analysis, the redundancy analysis and the multivariate linear regression analysis to analyze which factors significantly affected the composition and distribution of the Russulaceae fungal community. A total of 56 species of Russulaceae were detected in the forest, which included 48 species of , seven species of , and one species of . was the dominant group. During the growing season, the sporocarps of appeared earlier than those of . The number of species aboveground exhibited a decrease after the increase and were significantly affected by the average monthly air temperature ( = -0.822, = 0.045), average monthly relative humidity ( = -0.826, = 0.043), monthly rainfall ( = 0.850, = 0.032), soil moisture ( = 0.841, = 0.036) and soil organic matter ( = 0.911, = 0.012). In the roots and soils under the forest, the number of species did not show an apparent trend. The number of species from the roots was the largest in September and the lowest in August, while those from the soils were the largest in October and the lowest in June. Both were significantly affected by the average monthly air temperature ( = 0.6083, = 0.040) and monthly rainfall ( = 0.6354, = 0.039). Moreover, the relative abundance of and in the roots and soils showed a linear correlation with the relative abundance of the other fungal genera.
DESI Legacy Imaging Surveys Data Release 9: Cosmological constraints from galaxy clustering and weak lensing using the minimal bias model
We present a tentative constraint on cosmological parameters Ω m and σ 8 from a joint analysis of galaxy clustering and galaxy-galaxy lensing from DESI Legacy Imaging Surveys Data Release 9 (DR9), covering approximately 10000 square degrees and spanning the redshift range of 0.1 to 0.9. To study the dependence of cosmological parameters on lens redshift, we divide lens galaxies into seven approximately volume-limited samples, each with an equal width in photometric redshift. To retrieve the intrinsic projected correlation function w p ( r p ) from the lens samples, we employ a novel method to account for redshift uncertainties. Additionally, we measured the galaxy-galaxy lensing signal ΔΣ( r p ) for each lens sample, using source galaxies selected from the shear catalog by applying our Fourier_Quad pipeline to DR9 images. We model these observables within the flat ACDM framework, employing the minimal bias model. To ensure the reliability of the minimal bias model, we apply conservative scale cuts: r p > 8 and 12 h −1 Mpc, for w p ( r p ) and ΔΣ( r p ), respectively. Our findings suggest a mild tendency that S 8 ≡ σ 8 Ω m / 0.3 increases with lens redshift, although this trend is only marginally significant. When we combine low redshift samples, the value of S 8 is determined to be 0.84 ± 0.02, consistent with the Planck results but significantly higher than the 3× 2pt analysis by 2–5 σ . Despite the fact that further refinements in measurements and modeling could improve the accuracy of our results, the consistency with standard values demonstrates the potential of our method for more precise and accurate cosmology in the future.
Robust Silica–Agarose Composite Aerogels with Interpenetrating Network Structure by In Situ Sol–Gel Process
Aerogels are three-dimensional nanoporous materials with outstanding properties, especially great thermal insulation. Nevertheless, their extremely high brittleness restricts their practical application. Recently, although the mechanical properties of silica aerogels have been improved by regulating the precursor or introducing a polymer reinforcer, these preparation processes are usually tedious and time-consuming. The purpose of this study was to simplify the preparation process of these composite aerogels. A silicic acid solution treated with cation exchange resin was mixed with agarose (AG) to gel in situ, and then composite aerogels (CAs) with an interpenetrating network (IPN) structure were obtained by aging and supercritical CO2 fluid (SCF) drying. Compared to previous works, the presented CAs preparation process is briefer and more environmentally friendly. Moreover, the CAs exhibit a high specific surface area (420.5 m2/g), low thermal conductivity (28.9 mW m−1 K−1), excellent thermal insulation properties, and thermal stability. These results show that these CAs can be better used in thermal insulation.
Toward a unified theoretical framework for photogrammetry
The objective of photogrammetry is to extract information from imagery. With the increasing interaction of sensing and computing technologies, the fundamentals of photogrammetry have undergone an evolutionary change in the past several decades. Numerous theoretical progresses and practical applications have been reported from traditionally different but related multiple disciplines, including computer vision, photogrammetry, computer graphics, pattern recognition, remote sensing and machine learning. This has gradually extended the boundary of traditional photogrammetry in both theory and practice. This paper introduces a new, holistic theoretical framework to describe various photogrammetric tasks and solutions. Under this framework, photogrammetry is generally regarded as a reversed imaging process formulated as a unified optimization problem. Depending on the variables to be determined through optimization, photogrammetric tasks are mostly divided into image space tasks, image-object space tasks and object space tasks, each being a special case of the general formulation. This paper presents representative solution approaches for each task. With this effort, we intend to advocate an imminent and necessary paradigm change in both research and learning of photogrammetry.
From blink to care: smartphone video–based functional analysis and personalized management in pediatric blepharoptosis
Early detection of congenital ptosis is critical to prevent visual and psychosocial impairment in children, yet clinical assessment is challenged by limited patient cooperation and specialist availability. In this prospective, multicenter study, we developed and validated a smartphone-based system comprising three modules: morphological assessment, functional analysis, and a domain-adapted dialogue model, using 3164 blink clips and 1,229 facial images. The morphological module showed high measurement accuracy with intraclass correlation coefficients over 0.90 versus manual assessments. The functional module identified levator dysfunction with an area under the curve of 0.993, achieving robust functional stratification accuracy in both internal (0.91) and real-world (0.89) cohorts. The dialogue model demonstrated improved correctness and applicability over its baseline in addressing ptosis-related queries, achieving overall performance comparable to GPT-4o in expert evaluation and a patient satisfaction score of 4.93/5 in real-world deployment. This smartphone platform enables precise ptosis evaluation with patient-centered interaction, facilitating informed decision-making and personalized care in oculoplastic practice. ClinicalTrials.gov NCT07078552.