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"Dong-Yu, Li"
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عبارات \غامضة\ عن الصين : مقالات في الجغرافيا البشرية
هذا الكتاب هو الجزء الأول من سلسلة كتب \"الحكمة الصينية\" ويأتي تحت عنوان (عبارات \"غامضة\" عن الصين : مقالات في الجغرافيا البشرية)، وجمع بين دفتيه ما مجموعة أربعة عشر مصطلحا متعلقا بالجغرافيا البشرية، ومن بينها \"الأقاليم التسعة\"، \"العالم\"، \"النهر الأصفر\"، \"سور الصين العظيم\"، \"المدينة\"، \"و\"العاصمة\"، وغيرها، ويتمثل الغرض الرئيسي للكتاب في تعريف الأطفال بالجغرافيا الصينية التقليدية، وتعميم معارف الجغرافيا البشرية في نفس الوقت، وهو الأمر الذي يترك الأطفال يستكشفون المعنى الثقافي وراء المصطلحات والمفردات الشائعة.
Book
Transmissive-detected laser speckle contrast imaging for blood flow monitoring in thick tissue: from Monte Carlo simulation to experimental demonstration
Laser speckle contrast imaging (LSCI) is a powerful tool to monitor blood flow distribution and has been widely used in studies of microcirculation, both for animal and clinical applications. Conventionally, LSCI usually works on reflective-detected mode. However, it could provide promising temporal and spatial resolution for in vivo applications only with the assistance of various tissue windows, otherwise, the overlarge superficial static speckle would extremely limit its contrast and resolution. Here, we systematically investigated the capability of transmissive-detected LSCI (TR-LSCI) for blood flow monitoring in thick tissue. Using Monte Carlo simulation, we theoretically compared the performance of transmissive and reflective detection. It was found that the reflective-detected mode was better when the target layer was at the very surface, but the imaging quality would rapidly decrease with imaging depth, while the transmissive-detected mode could obtain a much stronger signal-to-background ratio (SBR) for thick tissue. We further proved by tissue phantom, animal, and human experiments that in a certain thickness of tissue, TR-LSCI showed remarkably better performance for thick-tissue imaging, and the imaging quality would be further improved if the use of longer wavelengths of near-infrared light. Therefore, both theoretical and experimental results demonstrate that TR-LSCI is capable of obtaining thick-tissue blood flow information and holds great potential in the field of microcirculation research.The performance of novel transmissive-detected LSCI was systematically demonstrated through simulation and experiments. With such a simple system, individual vessel-resolution blood flow mapping and monitoring were realized on human hand.
Journal Article
Quantum criticality and state engineering in the simulated anisotropic quantum Rabi model
Promising applications of the anisotropic quantum Rabi model (AQRM) in broad parameter ranges are explored, which is realized with superconducting flux qubits simultaneously driven by two-tone time-dependent magnetic fields. Regarding the quantum phase transitions (QPTs), with assistance of fidelity susceptibility, we extract the scaling functions and the critical exponents, with which the universal scaling of the cumulant ratio is captured by rescaling the parameters related to the anisotropy. Moreover, a fixed point of the cumulant ratio is predicted at the critical point of the AQRM with finite anisotropy. In respect of quantum information tasks, the generation of the macroscopic Schrödinger cat states and quantum controlled phase gates are investigated in the degenerate case of the AQRM, whose performance is also investigated by numerical calculation with practical parameters. Therefore, our results pave the way to explore distinct features of the AQRM in circuit QED systems for QPTs, quantum simulations and quantum information processing.
Journal Article
Numerical and analytical results for geometric measure of coherence and geometric measure of entanglement
Quantifying coherence and entanglement is extremely important in quantum information processing. Here, we present numerical and analytical results for the geometric measure of coherence, and also present numerical results for the geometric measure of entanglement. On the one hand, we first provide a semidefinite algorithm to numerically calculate geometric measure of coherence for arbitrary finite-dimensional mixed states. Based on this semidefinite algorithm, we test randomly generated single-qubit states, single-qutrit states, and a special kind of
d
-dimensional mixed states. Moreover, we also obtain an analytical solution of geometric measure of coherence for a special kind of mixed states. On the other hand, another algorithm is proposed to calculate the geometric measure of entanglement for arbitrary two-qubit and qubit-qutrit states, and some special kinds of higher dimensional mixed states. For other states, the algorithm can get a lower bound of the geometric measure of entanglement. Randomly generated two-qubit states, the isotropic states and the Werner states are tested. Furthermore, we compare our numerical results with some analytical results, which coincide with each other.
Journal Article
Thyroid Cancer: Pathogenesis, Clinicopathology, Diagnosis, and Management
ABSTRACT
Thyroid cancer is the most common endocrine malignancy, with incidence rising steadily worldwide. Although most cases are differentiated thyroid carcinomas with excellent prognosis, a small subset, such as anaplastic thyroid cancer, demonstrates aggressive behavior and poor survival outcomes. Recent decades have witnessed a transformation in thyroid cancer diagnostics and management, driven by improvements in high‐resolution ultrasound, fine‐needle aspiration biopsy, molecular profiling, and standardized risk stratification systems such as the Thyroid Imaging Reporting and Data System. Despite these advances, overdiagnosis and overtreatment remain key clinical challenges. Accurate risk stratification and management strategies are critical, especially for distinguishing indolent nodules from aggressive subtypes. This review provides a comprehensive overview of thyroid cancer pathogenesis, clinicopathological classification, diagnostic approaches, and evolving therapeutic strategies, ranging from active surveillance to targeted and immunotherapy‐based treatments. By integrating molecular diagnostics with conventional parameters, the article underscores how precision medicine can reduce treatment burden, improve outcomes, and guide personalized care. This review offers valuable insight into the biological complexity of thyroid cancer and highlights the need for continued refinement of diagnostic criteria and therapeutic frameworks in clinical practice.
Thyroid cancer risk is influenced by both genetic and modifiable factors, including mutations, radiation exposure, lifestyle, and pre‐existing benign conditions. Diagnosis involves physical exams, ultrasound, scintigraphy, laboratory tests, and fine‐needle aspiration biopsy (FNAB). Management options range from active surveillance and surgery to advanced therapies like targeted treatments and immunotherapy. Future research focuses on refining targeted and combination therapies to improve outcomes. This multifaceted approach highlights the importance of early detection and personalized treatment strategies.
Journal Article
Expression of PD-1/PD-L1 in head and neck squamous cell carcinoma and its clinical significance
Objective:
To investigate the role of programmed death-1 (PD-1), programmed death-ligand 1 (PD-L1), and P16 in patients with head and neck squamous cell carcinoma (HNSCC).
Methods:
A total of 95 paraffin-embedded samples of tumorous tissue of HNSCC were collected. Expression levels of PD-1, PD-L1, and P16 were determined by immunohistochemistry.
Results:
A significantly higher proportion of PD-1 among patients infected with the human papillomavirus was found. PD-L1 expression is closely associated with the primary site of the tumor, postoperative recurrence, survival, PD-1 expression and P16 expression. Univariable analysis indicated that T stage, N stage, tumor node metastasis stage, tumor differentiation, and PD-L1 expression were all shown to be prognostic variables for overall survival in patients with HNSCC. In the multivariate analysis, only N stage (P = 0.010) and PD-L1 expression (P = 0.001) were found to be independent prognostic variables for overall survival. In addition, for disease recurrence, multivariate analysis showed that only PD-L1 expression was the associated independent risk factor. For the patients with negative PD-L1 expression, Kaplan-Meier analysis revealed that they had significantly worse outcomes in terms of overall survival (P = 0.001). Similarly, compared with the patients with positive PD-L1 expression, those with negative PD-L1 expression had a higher probability of recurrence (P = 0.026).
Conclusions:
The expression of PD-L1, PD-1, and P16 in HNSCC is significantly correlated. Human papillomavirus infection (P16 positive) is negatively related to postoperative recurrence. HNSCC patients with positive PD-L1/PD-1 expression tend to have better overall survival outcomes and lower probability of recurrence, providing more evidence for the PD-l-targeted immunotherapy of HNSCC.
Journal Article
Cloning and Heterologous Expression of a Novel Xylanase Gene TAX1 from Trichoderma atroviride and Its Application in the Deconstruction of Corn Stover
Xylanase plays a vital role in the efficient utilization of xylan, which accounts for up to 30% of plant dry matter. However, the production cost of xylanase remains high, and the enzymatic characteristics of xylanases of most microorganisms are not suitable for industrial production. Therefore, it is of great significance to discover and develop new and efficient xylanases. In this study, the xylanase gene TAX1 (672 bp cDNA) was cloned from Trichoderma atroviride 3.3013 and expressed in Pichia pastoris. The TAX1 gene encoded a 223-amino acid protein (TAX1) with a molecular weight of 24.2 kDa which showed high similarity to glycoside hydrolase family 11. Enzyme activity assay verified that the recombinant xylanase TAX1 had optimal activity (215.3 IU/mL) at 50°C and pH 6.0. Stable working conditions were measured as pH 4.0–7.0 and 40–60°C. By adding Zn2+, the relative enzymatic activity of recombinant TAX1 was enhanced by 26%. The recombinant xylanase showed high activity toward birchwood xylan and corn stover. The Km and Kcat for xylan and corn stover were 0.36 mg/mL and 0.204 S−1 and 0.48 mg/mL and 0.149 S−1, respectively. The enzymatic activity of the TAX1 produced by P. pastoris was about 2.4–4 times higher that directly isolated from T. atroviride, so engineered P. pastoris for xylanase production could be an ideal candidate for industrial enzyme production.
Journal Article
Mechanism of Total Ionizing Dose Effects of CMOS Image Sensors on Camera Resolution
The nuclear industry and other high-radiation environments often need remote monitoring equipment with advanced cameras to achieve precise remote control operations. CMOS image sensors, as a critical component of these cameras, get exposed to γ-ray irradiation while operating in such environments, which causes performance degradation that adversely affects camera resolution. This study conducted total ionizing dose experiments on CMOS image sensors and camera systems and thoroughly analyzed the impact mechanisms of the dark current, Full Well Capacity, and quantum efficiency of CMOS image sensors on camera resolution. A quantitative evaluation formula was established to evaluate the impact of Full Well Capacity and quantum efficiency of the CMOS image sensor on camera resolution. This study provides a theoretical basis for the evaluation of the radiation resistance of cameras in environments with strong nuclear radiation and the development of radiation-resistant cameras.
Journal Article
A Method for Restoring γ-Radiation Scene Images Based on Spatial Axial Gradient Discrimination
Clear and reliable visual information is the premise and basis of work for nuclear robots. However, the ubiquitous γ rays in the nuclear environment will produce radiation effects on CMOS cameras and bring in complex visual noise. In this paper, combining the mechanism and characteristics of γ radiation noise, a method for restoring γ-radiation scene images based on spatial axial gradient discrimination is proposed. Firstly, interframe difference is used to determine the position of radiated noise on the image. Secondly, the gray gradients of different axes at noise pixels are calculated, and two axes with lager gray gradients are selected. Then, the adaptive medians are selected on the two axes, respectively and are weighted according to the gradient as the new value of the noise pixel. Finally, the Wallis sharpening filter is applied to enhance the detailed information and deblur the image. Plenty of experiments have been carried out on images collected in real γ radiation scenes, and image quality has been significantly improved, with Peak Signal to Noise ratio (PSNR) reaching 30.587 dB and Structural Similarity Index Mean (SSIM) reaching 0.82. It is obvious that this method has advanced performance in improving the quality of γ-radiation images. It can provide method guidance and technical support for the software module design of the anti-nuclear radiation camera.
Journal Article