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وثائق مكافحة كوفيد-19
بين يدي القارئ كتاب يجمع بين دفتيه الترجمة العربية لوثائق مكافحة كوفيد 19- التي أصدرتها لجنة الصحة الوطنية الصينية، ومـن بـين هذه الوثائق النسخ الست مـن آليات الوقاية مـن الالتهاب الرئوي الناجم عـن فيروس كـورونا المستجد ومكافحته، والنسخة التجريبية السابعة لآليات تـشخيص الالتـِهاب الـرئوي الناجِم عـن فـيروس كـورونا المستجد وعلاجه وغـيرها مـن الـمرفقات. وعـمل على ترجمة النـسخة الـعربية لوثائق مكافحة كـوفيد 19- الصينية فريـق ترجمة به أكـثر من عشريـن أستاذا وطالبا مـن قسم اللغة العربية بكلية اللغات الأجنبية بجامعة بكين بـالتعاون مع كلية الآداب في جامعة القاهرة والمعهد العالي للغات بتونس في جامعة قرطاج، في الفترة مـن مارس وحتى مايو 2020، قام خلالها فـريق الترجمة بترجمة قرابة 100 ألـف رمز صيني.
BOOK
A liquid phase of synapsin and lipid vesicles
Neuronal communication at synapses relies on regulated neurotransmitter secretion. Neurotransmitters are stored in small vesicles that are organized in clusters within nerve terminals. On stimulation, the vesicles fuse with the presynaptic plasma membrane, but despite their tight packing, replacement synaptic vesicles are rapidly recruited. Vesicles newly reformed by membrane recycling randomly intermix with the clusters. Milovanovic et al. show that synapsin, an abundant synaptic vesicle–associated protein, organizes these vesicle clusters by liquid-liquid phase separation—like oil in water (see the Perspective by Boczek and Alberti). Science , this issue p. 604 ; see also p. 548 Within the synapse, synapsin may form liquid biomolecular condensates that can trap lipid-bound synaptic vesicles. Neurotransmitter-containing synaptic vesicles (SVs) form tight clusters at synapses. These clusters act as a reservoir from which SVs are drawn for exocytosis during sustained activity. Several components associated with SVs that are likely to help form such clusters have been reported, including synapsin. Here we found that synapsin can form a distinct liquid phase in an aqueous environment. Other scaffolding proteins could coassemble into this condensate but were not necessary for its formation. Importantly, the synapsin phase could capture small lipid vesicles. The synapsin phase rapidly disassembled upon phosphorylation by calcium/calmodulin-dependent protein kinase II, mimicking the dispersion of synapsin 1 that occurs at presynaptic sites upon stimulation. Thus, principles of liquid-liquid phase separation may apply to the clustering of SVs at synapses.
Journal Article
miR-296-5p suppresses EMT of hepatocellular carcinoma via attenuating NRG1/ERBB2/ERBB3 signaling
Background
Accumulation of evidence indicates that miRNAs have crucial roles in the regulation of EMT-associated properties, such as proliferation, migration and invasion. However, the underlying molecular mechanisms are not entirely illustrated. Here, we investigated the role of miR-296-5p in hepatocellular carcinoma (HCC) progression.
Methods
In vitro cell morphology, proliferation, migration and invasion were compared between HCC cell lines with up- or down-regulation of miR-296-5p. Immunofluorescence and Western blot immunofluorescence assays were used to detect the expression of EMT markers. Bioinformatics programs, luciferase reporter assay and rescue experiments were used to validate the downstream targets of miR-296-5p. Xenograft nude mouse models were established to observe tumor growth and metastasis. Immunohistochemical assays were conducted to study the relationships between miR-296-5p expression and Neuregulin-1 (NRG1)/EMT markers in human HCC samples and mice.
Results
miR-296-5p was prominently downregulated in HCC tissues relative to adjacent normal liver tissues and associated with favorable prognosis. Overexpression of miR-296-5p inhibited EMT along with migration and invasion of HCC cells via suppressing NRG1/ERBB2/ERBB3/RAS/MAPK/Fra-2 signaling in vitro. More importantly, miR-296-5p disrupted intrahepatic and pulmonary metastasis in vivo. NRG1, as a direct target of miR-296-5p, mediates downstream biological responses. In HCC tissues from patients and mice, the levels of miR-296-5p and NRG1 also showed an inverse relationship.
Conclusions
miR-296-5p inhibited EMT-related metastasis of HCC through NRG1/ERBB2/ERBB3/RAS/MAPK/Fra-2 signaling.
Journal Article
Non-Contact Heart Rate Monitoring Method Based on Wi-Fi CSI Signal
This paper introduces an innovative non-contact heart rate monitoring method based on Wi-Fi Channel State Information (CSI). This approach integrates both amplitude and phase information of the CSI signal through rotational projection, aiming to optimize the accuracy of heart rate estimation in home environments. We develop a frequency domain subcarrier selection algorithm based on Heartbeat to subcomponent ratio (HSR) and design a complete set of signal filtering and subcarrier selection processes to further enhance the accuracy of heart rate estimation. Heart rate estimation is conducted by combining the peak frequencies of multiple subcarriers. Extensive experimental validations demonstrate that our method exhibits exceptional performance under various environmental conditions. The experimental results show that our subcarrier selection method for heart rate estimation achieves an average accuracy of 96.8%, with a median error of only 0.8 bpm, representing an approximately 20% performance improvement over existing technologies.
Journal Article
Continuous and discontinuous compressible flows in a converging–diverging channel solved by physics-informed neural networks without exogenous data
Physics-informed neural networks (PINNs) are employed to solve the classical compressible flow problem in a converging–diverging nozzle. This problem represents a typical example described by the Euler equations, a thorough understanding of which serves as a guide for solving more general compressible flows. Given a geometry of the channel, analytical solutions for the steady states do indeed exist, and they depend on the ratio between the back pressure of the outlet and the stagnation pressure of the inlet. Moreover, in the diverging region, the solution may branch into subsonic flow, supersonic flow, or a mixture of both with a discontinuous transition where a normal shock occurs. Classical numerical schemes with shock fitting and capturing methods have been developed to solve this type of problem effectively, whereas the original PINNs are unable to predict the flows correctly. We make a first attempt to exploit the power of PINNs to solve this problem directly by adjusting the weights of different components of the loss function to acquire physical solutions and in the meantime, avoid trivial solutions. With a universal setting yet no exogenous data, we are able to solve this problem accurately; that is, for different given pressure ratios, PINNs provide different branches of solutions at both steady and unsteady states, some of which are discontinuous in nature. For an inverse problem such as unknown specific-heat ratio, it works effectively as well.
Journal Article
Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density
In the process of data transmission in mobile ad hoc networks, it is essential to establish optimal routes from source nodes to destination nodes. However, as network density increases, this process is often accompanied by a significant rise in network overhead. To address this issue, the ND-AODV (neighborhood density AODV) protocol has been introduced, which reduces the probability of transmitting control information in high-density node environments to mitigate network overhead. Nevertheless, this may come at the cost of reduced routing accuracy, potentially leading to unnecessary resource wastage in certain scenarios. Furthermore, ND-AODV does not comprehensively consider the location of the receiving nodes, which limits its ability to reduce network overhead effectively. To overcome these limitations, this paper introduces a novel routing approach, known as CND-AODV (common neighborhood density AODV). In comparison to ND-AODV, CND-AODV offers a more comprehensive solution to the challenges posed by high-density network environments. It intelligently processes control information based on the special positioning of the receiving nodes, thereby significantly reducing unnecessary network overhead. Through simulation experiments comparing performance metrics such as throughput, packet delivery rate, and latency, the results clearly indicate that CND-AODV substantially decreases network overhead, enhancing network performance. Compared to ND-AODV, this innovative routing approach exhibits significant advantages. It provides a more efficient and reliable solution for ad hoc networks in high-density environments.
Journal Article
Balancing Ecological Restoration and Industrial Landscape Heritage Values Through a Digital Narrative Approach: A Case Study of the Dagushan Iron Mine, China
Under rapid urbanization and ecological transformation, balancing authenticity preservation with adaptive reuse presents a major challenge for industrial heritage landscapes. This study investigates the Dagushan Iron Mine in Anshan, China’s first large-scale open-pit iron mine and once the deepest in Asia, which is currently undergoing ecological backfilling that threatens its core landscape morphology and spatial integrity. Using a mixed-method approach combining archival research, spatial documentation, qualitative interviews, and expert evaluation through the Analytic Hierarchy Process (AHP), we construct a cross-validated evidence chain to examine how evidence-based industrial landscape heritage values can inform low-intervention digital narrative strategies for off-site learning. This study contributes theoretically by reframing authenticity and integrity under ecological transition as the traceability and interpretability of landscape evidence, rather than material survival alone. Evaluation involving key stakeholders reveals a value hierarchy in which historical value ranks highest, followed by social and cultural values, while scientific–technological and ecological–environmental values occupy the mid-tier. Guided by these weights, we develop a four-layer value-to-narrative translation framework and an animation design pathway that supports curriculum-aligned learning for off-site students. This study establishes an operational link between evidence chain construction, value weighting, and digital storytelling translation, offering a transferable workflow for industrial heritage landscapes undergoing ecological restoration, including sites with World Heritage potential or status.
Journal Article
Denoising Generalization Performance of Channel Estimation in Multipath Time-Varying OFDM Systems
Although Orthogonal Frequency Division Multiplexing (OFDM) technology is still the key transmission waveform technology in 5G, traditional channel estimation algorithms are no longer sufficient for the high-speed multipath time-varying channels faced by both existing 5G and future 6G. In addition, the existing Deep Learning (DL) based OFDM channel estimators are only applicable to Signal-to-Noise Ratios (SNRs) in a small range, and the estimation performance of the existing algorithms is greatly limited when the channel model or the mobile speed at the receiver does not match. To solve this problem, this paper proposes a novel network model NDR-Net that can be used for channel estimation under unknown noise levels. NDR-Net consists of a Noise Level Estimate subnet (NLE), a Denoising Convolutional Neural Network subnet (DnCNN), and a Residual Learning cascade. Firstly, a rough channel estimation matrix value is obtained using the conventional channel estimation algorithm. Then it is modeled as an image and input to the NLE subnet for noise level estimation to obtain the noise interval. Then it is input to the DnCNN subnet together with the initial noisy channel image for noise reduction to obtain the pure noisy image. Finally, the residual learning is added to obtain the noiseless channel image. The simulation results show that NDR-Net can obtain better estimation results than traditional channel estimation, and it can be well adapted when the SNR, channel model, and movement speed do not match, which indicates its superior engineering practicability.
Journal Article
Examining a Primary Education Approach Using Digital Storytelling: Chinese Industrial Heritage as a Vehicle to Support Learning
Digital storytelling has emerged as an innovative approach that integrates technology with education, demonstrating growing research and practical value in cultural heritage preservation. This study focuses on China’s industrial heritage and conducts empirical research with primary school students (Years 1–6) to examine how digital storytelling enhances engagement in industrial heritage education in particular, but also how industrial heritage reflects and links to wider cultural and historical issues. The research analyzes six key educational dimensions: learning interest, functional preferences, content comprehension, supervisory expectations, creative expression, and willingness to participate. Hypothesis testing revealed significant positive correlations among these dimensions (p < 0.05), and the overall regression model explained 51% of the variance in students’ willingness to participate (R2 = 0.51). Grade-level analysis further demonstrated distinct developmental patterns: younger students preferred gamified interactions with parental supervision, middle-grade students gradually shifted toward personalized learning approaches, and senior students focused more on value-driven and inquiry-based content. A temporary decline in interest and willingness around Year 5 highlighted a key transitional period requiring targeted scaffolding for abstract and creative learning tasks. Based on these insights, the study innovatively proposes a “Sapling Growth” educational framework that systematically combines digital storytelling technology with children’s cognitive development patterns. This progressive three-stage instructional design achieves dynamic alignment between teaching content and students’ cognitive abilities. The framework integrates cultural depth with interactive features, establishing a theoretical pathway to enhance learning processes, strengthen cultural identity, and promote sustainable industrial heritage preservation, while providing a foundation for interdisciplinary integration across educational technology, cultural heritage conservation, and child development fields.
Journal Article
MiR-612 regulates invadopodia of hepatocellular carcinoma by HADHA-mediated lipid reprogramming
Background
MicroRNA-612 (miR-612) has been proven to suppress EMT, stemness, and tumor metastasis of hepatocellular carcinoma (HCC) via PI3K/AKT2 and Sp1/Nanog signaling. However, its biological roles on HCC progression are far from elucidated.
Methods
We found direct downstream target of miR-612,
hadha
by RNA immunoprecipitation and sequencing. To explore its biological characteristic, potential molecular mechanism, and clinical relevance in HCC patients, we performed several in-vitro and in-vivo models, as well as human tissue chip.
Results
Ectopic expression of miR-612 could partially reverse the level of HADHA, then suppress function of pseudopods, and diminish metastatic and invasive potential of HCC by lipid reprogramming. In detail, miR-612 might reduce invadopodia formation via HADHA-mediated cell membrane cholesterol alteration and accompanied with the inhibition of Wnt/β-catenin regulated EMT occurrence. Our results showed that the maximum oxygen consumption rates (OCR) of HCCLM3
miR-612-OE
and HCCLM3
hadha
-KD
cells were decreased nearly by 40% and 60% of their counterparts (
p
< 0.05). The levels of acetyl CoA were significantly decreased, about 1/3 (
p
> 0.05) or 1/2 (
p
< 0.05) of their controls, in exogenous miR-612 or
hadha
-shRNA transfected HCCLM3 cell lines. Besides, overexpression of hadha cell lines had a high expression level of total cholesterol, especially 27-hydroxycholesterol (
p
< 0.005). SREBP2 protein expression level as well as its downstream targets, HMGCS1, HMGCR, MVD, SQLE were all deregulated by HADHA. Meanwhile, the ATP levels were reduced to 1/2 and 1/4 in HCCLM3
miR-612-OE
(
p
< 0.05) and HCCLM3
hadha
-KD
(
p
< 0.01) respectively. Moreover, patients with low miR-612 levels and high HADHA levels had a poor prognosis with shorter overall survival.
Conclusion
miR-612 can suppress the formation of invadopodia, EMT, and HCC metastasis and by HADHA-mediated lipid programming, which may provide a new insight of miR-612 on tumor metastasis and progression.
Journal Article