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"He, Hu"
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Mao, Zedong, 1893-1976 مؤلف.
,
Mao, Zedong, 1893-1976. Zhi Lun dài liú zhu yi he qie fan dong pai dou shi zhi lao hu
,
دار النشر باللغات الأجنبية مترجم.
in
الصين ملوك وحكام تراجم
,
الصين تاريخ ماوتسي تونغ، 1949-1976
1958
يتناول كتاب (ماوتسي يونج) وهو صاحب سيرة طويلة عبر ما يقرب من سبعين عاما، نشأ في ريف الصين لأب فلاح فقير، استهوته الماركسية فانتمى إليها، ثم صار أحد نجومها في الحزب الشيوعي الصيني، ثم صار رئيسا للحزب، ثم استقل بعرش الصين وجلس عليه حوالي ثلاثين عاما، قاد فيها الصين برؤيته الخاصة فصنع منها دولة قوية في وقت وجيز، ولا يزال كتابه الأحمر مرجعا أساسيا للفكر الصيني والسياسة الصينية، بل إن دواوين شعره هي الأكثر مبيعا في الصين، ولا تزال سيرته مقصد كثير من المطلعين.
Thermal conductivity of amorphous SiO2 thin film: A molecular dynamics study
2018
Amorphous SiO
2
(a-SiO
2
) thin films are widely used in integrated circuits (ICs) due to their excellent thermal stability and insulation properties. In this paper, the thermal conductivity of a-SiO
2
thin film was systematically investigated using non-equilibrium molecular dynamics (NEMD) simulations. In addition to the size effect and the temperature effect for thermal conductivity of a-SiO
2
thin films, the effect of defects induced thermal conductivity tuning was also examined. It was found that the thermal conductivity of a-SiO
2
thin films is insensitive to the temperature from −55 °C to 150 °C. Nevertheless, in the range of the thickness in this work, the thermal conductivity of the crystalline SiO
2
(c-SiO
2
) thin films conforms to the T
−α
with the exponent range from −0.12 to −0.37, and the thinner films are less sensitive to temperature. Meanwhile, the thermal conductivity of a-SiO
2
with thickness beyond 4.26 nm has no significant size effect, which is consistent with the experimental results. Compared with c-SiO
2
thin film, the thermal conductivity of a-SiO
2
is less sensitive to defects. Particularly, the effect of spherical void defects on the thermal conductivity of a-SiO
2
is followed by Coherent Potential model, which is helpful for the design of low-K material based porous a-SiO
2
thin film in microelectronics.
Journal Article
Integrating High-Performance Flexible Wires with Strain Sensors for Wearable Human Motion Detection
2024
Flexible electronics have revolutionized the field by overcoming the rigid limitations of traditional devices, offering superior flexibility and adaptability. Conductive ink performance is crucial, directly impacting the stability of flexible electronics. While metal filler-based inks exhibit excellent conductivity, they often lack mechanical stability. To address this challenge, we present a novel conductive ink utilizing a ternary composite filler system: liquid metal and two micron-sized silver morphologies (particles and flakes). We systematically investigated the influence of filler type, mass ratio, and sintering process parameters on the composite ink’s conductivity and mechanical stability. Our results demonstrate that flexible wires fabricated with the liquid metal/micron silver particle/micron silver flake composite filler exhibit remarkable conductivity and exceptional bending stability. Interestingly, increasing the liquid metal content results in a trade-off, compromising conductivity while enhancing mechanical performance. After enduring 5000 bending cycles, the resistance change in wires formulated with a 4:1 mass ratio of micron silver particles to flakes is only half that of wires with a 1:1 ratio. This study further investigates the mechanism governing resistance variations during flexible wire bending. Additionally, we observed a positive correlation between sintering temperature and pressure with the conductivity of flexible wires. The significance of the sintering parameters on conductivity follows a descending order: sintering temperature, sintering pressure, and sintering time. Finally, we demonstrate the practical application of this technology by integrating the composite ink-based flexible wires with conductive polymer-based strain sensors. This combination successfully achieved the detection of human movements, including finger and wrist bending.
Journal Article
Progress and stagnation: A comparative study of gender representation in Chinese language textbooks for junior high school between 2001 edition and 2023 edition
2025
Gender bias in textbooks is a global problem. Gender development stands as a pivotal concern among junior high school students, underscoring the paramount importance of scrutinizing gender portrayals within textbooks. Chinese language textbooks, utilized by around 200 million students, have garnered scant attention in English literature concerning its embedded gender ideology. This essay delves into a comparative analysis of gender representations in Chinese Language textbooks published by the People’s Education Press in 2001 and 2023, revealing little advancements. The evolution of these textbooks has witnessed a surge in the number of female authors and an expansion of gender-centric themes, fostering a more diverse array of female roles. However, a discernible disparity persists in the frequency of male and female portrayals, with males continuing to dominate the narrative, even amidst a slight decline in the female proportion. Furthermore, the spectrum of gender roles and professions remains limited, perpetuating the age-old gender binary of “men as providers, women as homemakers.” Notably, societal stereotypes of both genders linger, impeding the depiction of nuanced and multifaceted identities. In summary, this study found that both sets of Chinese language textbooks implicitly contain gender bias, with little progress made towards gender equality, and even has stagnated or declined.
Journal Article
LncRNA DANCR and miR-320a suppressed osteogenic differentiation in osteoporosis by directly inhibiting the Wnt/β-catenin signaling pathway
2020
Our study aimed to determine how lncRNA DANCR, miR-320a, and CTNNB1 interact with each other and regulate osteogenic differentiation in osteoporosis. qRT-PCR and western blotting were performed to determine the expression of DANCR, miR-320a, CTNNB1, and the osteoporosis- or Wnt/β-catenin pathway-related markers T-cell factor 1 (TCF-1), runt-related transcription factor 2 (RUNX2), alkaline phosphatase (ALP), osteocalcin (OCN), and osteopontin (OPN). Interactions between CTNNB1, DANCR, and miR-320a were predicted by bioinformatics approaches and validated using a luciferase assay. Osteoblastic phenotypes were evaluated by ALP staining, ALP activity assay and Alizarin Red staining. The bilateral ovariectomy method was used to establish an in vivo osteoporosis model. Bone morphological changes were examined using hematoxylin and eosin (H&E) and Alcian Blue staining. The expression levels of DANCR and miR-320a in BMSCs derived from osteoporosis patients were upregulated, whereas CTNNB1 expression was downregulated compared with that in healthy controls. Importantly, we demonstrated that miR-320a and DANCR acted independently from each other and both inhibited CTNNB1 expression, whereas the inhibitory effect was additive when miR-320a and DANCR were cooverexpressed. Moreover, we found that DANCR overexpression largely abrogated the effect of the miR-320a inhibitor on CTNNB1 expression and the Wnt/β-catenin signaling pathway in BMSCs during osteogenic differentiation. We further confirmed the results above in BMSCs derived from an osteoporosis animal model. Taken together, our findings revealed that DANCR and miR-320a regulated the Wnt/β-catenin signaling pathway during osteogenic differentiation in osteoporosis through CTNNB1 inhibition. Our results highlight the potential value of DANCR and miR-320a as promising therapeutic targets for osteoporosis treatment.Osteoporosis: Tiny targets to keep bones strongTwo non-coding RNAs are potential targets for reducing bone loss in post-menopausal osteoporosis. Bones are constantly being remodeled; when resorption outpaces generation of new bone, bones are weakened, causing osteoporosis and leading to decreased quality of life and injuries. Although treatments exist, they often have undesirable side effects, and new treatments are needed. The molecular basis of the changes that accompany osteoporosis are poorly understood. Da Zhong at the Xiangya Hospital of Central South University in Changsha, China, and co-workers investigated how two non-coding RNAs, small molecules that regulate gene expression, are involved in the progression of post-menopausal osteoporosis. They found that levels of both molecules are increased in osteoporosis, and that silencing them increases building of new bone, key to maintaining bone strength. These results illuminate a potential new direction in treatments for osteoporosis.
Journal Article
A Lightweight Deep Learning Network with an Optimized Attention Module for Aluminum Surface Defect Detection
2024
Aluminum is extensively utilized in the aerospace, aviation, automotive, and other industries. The presence of surface defects on aluminum has a significant impact on product quality. However, traditional detection methods fail to meet the efficiency and accuracy requirements of industrial practices. In this study, we propose an innovative aluminum surface defect detection method based on an optimized two-stage Faster R-CNN network. A 2D camera serves as the image sensor, capturing high-resolution images in real time. Optimized lighting and focus ensure that defect features are clearly visible. After preprocessing, the images are fed into a deep learning network incorporated with a multi-scale feature pyramid structure, which effectively enhances defect recognition accuracy by integrating high-level semantic information with location details. Additionally, we introduced an optimized Convolutional Block Attention Module (CBAM) to further enhance network efficiency. Furthermore, we employed the genetic K-means algorithm to optimize prior region selection, and a lightweight Ghost model to reduce network complexity by 14.3%, demonstrating the superior performance of the Ghost model in terms of loss function optimization during training and validation as well as in terms of detection accuracy, speed, and stability. The network was trained on a dataset of 3200 images captured by the image sensor, split in an 8:1:1 ratio for training, validation, and testing, respectively. The experimental results show a mean Average Precision (mAP) of 94.25%, with individual Average Precision (AP) values exceeding 80%, meeting industrial standards for defect detection.
Journal Article
Bone Defects in Revision Total Knee Arthroplasty and Management
2019
This article reviews the recent updates in revision of total knee arthroplasty (RTKA). We reviewed the recent articles on RTKA in databases including PubMed, Google Scholar, and SCOPUS. Total knee arthroplasty (TKA) involves the replacement of all three compartments of the knee in surgery of the knee joint to restore capacity and function. TKA is one of the most common and reliable surgical treatment options for the treatment of knee diseases. However, some patients require revision of TKA (RTKA) after primary TKA for various reasons, including mechanical wear, implant loosening or breakage, malalignment, infection, instability, periprosthetic fracture, and persistent stiffness. Unfortunately, the overall outcome of RTKA is not as satisfactory as for primary TKA due to the uncertainty regarding the actual success rate and the risk factors for failure. Cementation, modular metal augmentation, bone grafting, autologous bone grafting, allogenic bone grafting, impactation bone grafting, structural bone allografting, metaphyseal fixation, using porous titanium coated press fit metaphyseal sleeves and porous tantalum structural cones, and megaprostheses or customized prostheses are the currently available management options for RTKA. However, most of the management systems possess specific complications. Novel approaches should be developed to improve functional capacity, implant survival rates, and quality of life in a cost‐efficient manner.
Journal Article
CTAB-Modulated Electroplating of Copper Micropillar Arrays for Non-Enzymatic Glucose Sensing with Improved Sensitivity
2024
Micropillar array electrodes represent a promising avenue for enhancing detection sensitivity and response current. However, existing methods for depositing electrode materials on micropillar arrays often result in uneven distribution, with the thin sidewall layer being less conductive and prone to corrosion. In addressing this issue, this study introduces electroplating to enhance the copper layer on the sidewall of micropillar array electrodes. These electrodes, fabricated through standard microelectronics processes and electroplating, are proposed for non-enzymatic glucose detection, with the copper layer deposited via electroplating significantly enhancing sensitivity. Initially, the impact of cetyltrimethylammonium bromide (CTAB) concentration as an inhibitor on the surface morphology and sensitivity of the plated layer was investigated. It was discovered that CTAB could decrease surface roughness, hinder the development of large and coarse grains, generate small particles, and boost sensitivity. Compared to the uncoated electrode and plating without CTAB, sensitivity was elevated by a factor of 1.66 and 1.62, respectively. Subsequently, the alterations in plating morphology and detection performance within a range of 0.3 ASD to 3 ASD were examined. Sensitivity demonstrated a tendency to increase initially and then decrease. The electrode plated at 0.75 ASD achieved a maximum sensitivity of 3314 μA·mM−1·cm−2 and a detection limit of 15.9 μM. Furthermore, a potential mechanism explaining the impact of different morphology on detection performance due to CTAB and current density was discussed. It was believed that the presented effective strategy to enhance the sensitivity of micropillar array electrodes for glucose detection would promote the related biomedical detection applications.
Journal Article
Comparison of endoscopic evacuation, craniotomy, and puncture aspiration for the treatment of spontaneous basal ganglia intracerebral hematoma
2023
To compare the prognosis of patients with spontaneous basal ganglia intracerebral hematoma treated by endoscopic evacuation, craniotomy, or puncture aspiration.
This retrospective observational study included information from patients with basal ganglia hematoma who received craniotomy, endoscopic evacuation, or puncture aspiration in the Department of Neurosurgery of the First Affiliated Hospital of USTC between January 2016 and May 2021. Patients were grouped according to their treatment method for comparison.
From a total of 184 patients, 62 cases (51 males, aged 54.44 ± 9.92 years) received craniotomy, 64 cases (45 males, aged 53.97 ± 11.87 years) received endoscopic evacuation, and 58 cases (43 males, aged 54.25 ± 10.35 years) received puncture aspiration. No significant difference was found in baseline characteristics among three surgical procedures. Patients in the endoscopy group had the shortest hospital stay (15.16 ± 4.89 days vs. 17.88 ± 5.97 and 20.77 ± 6.96 days), lowest infectious meningitis [1(1.6 %) vs. 2(3.4%) and 8(12.9%)] and pulmonary infection [3(4.7%) vs. 5(8.6%) and 13(21.0%)] rates, and highest hematoma removal rate (90.39 ± 5.22% vs. 35.87 ± 6.23 and 84.76 ± 4.91%) and Glasgow outcome scale 6 months after surgery (4.41 ± 0.53 vs. 3.74 ± 1.09 and 3.81 ± 1.03). The occurrence of gastrointestinal bleeding, epilepsy, and mortality were similar (all p > 0.05) among the groups.
Patients with spontaneous basal ganglia intracerebral hematoma who received endoscopic evacuation might have better prognosis than those treated with craniotomy or puncture aspiration. In future, endoscopic surgery could become the most common method for treating spontaneous basal ganglia hemorrhages.
•Prognosis of three treatments in patients with spontaneous BGH were compared.•Endoscopic evacuation have better prognosis than craniotomy or puncture aspiration.•Endoscopic surgery might become the common method for spontaneous BGH hematoma.
Journal Article
A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications
2019
The widespread applications of the wireless Internet of Things (IoT) is one of the leading factors in the emerging of Big Data. Huge amounts of data need to be transferred and processed. The bandwidth and latency of data transfers have posed a new challenge for traditional computing systems. Under Big Data application scenarios, the movement of large scales of data would influence performance, power efficiency, and reliability, which are the three fundamental attributes of a computing system. Thus, changes in the computing paradigm are demanding. Processing-in- Memory (PIM), aiming at placing computation as close as possible to memory, has become of great interest to academia as well as industries. In this work, we propose a programming paradigm for PIM architecture that is suitable for wireless IoT applications. A data-transferring mechanism and middleware architecture are presented. We present our methods and experiences on simulation-platform design, as well as FPGA demo design, for PIM architecture. Typical applications in IoT, such as multimedia and MapReduce programs, are used as demonstration of our method’s validity and efficiency. The programs could successfully run on the simulation platform built based on Gem5 and on the FPGA demo. Results show that our method could largely reduce power consumption and execution time for those programs, which is very beneficial in IoT applications.
Journal Article