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فرص شبكة الجيل الخامس (5G) : أي فرص تحملها لنا شبكة الجيل الخامس (5G) ؟ وكيف نغتنم هذه الفرص ؟
يثير الجيل الخامس (5G) متابعة العالم بأسره ويحظى أيضا باهتمام في الصين من القمة إلى القاعدة، وكل ذلك يبرهن على أمر معين وهو ما يتحلى به الناس من تطلع عميق تجاه الجيل الخامس (5G) بعد أن عشنا الجيل الرابع من الاتصالات (4G) ونحن على ثقة بأن الجيل الخامس (5G) يمثل فرصة كبرى لتغيير العالم ؛ فما الفرص التي سيجلب لنا الجيل الخامس (5G) يا ترى ؟ ومتى ستظهر هذه الفرص ؟ وكيف تغتنمها ؟ ؛ بعد فترة طويلة من المراقبة والتحليل والإحساس ومن خلال رسم خط مستقيم من الفرص ونظرة استشرافية شاركنا خبير الاتصالات شيانغ لي قانغ فرص الجيل الخامس (5G)، وهذا لم يسمح للمزيد من الناس بمعرفة ما الذي يعنيه الجيل الخامس (5G) فحسب، بل اطلعوا بشكل أوضح على ما يكن أن ينجز الجيل الخامس (5G) واستوعبوا أكثر من ذلك ما يمكن أن يفعله كل واحد منا من خلال الجيل الخامس (5G)
BOOK
First Model Independent Results from DAMA/LIBRA–Phase2
The first results obtained by the DAMA/LIBRA–phase2 experiment are presented. The data have been collected over six independent annual cycles corresponding to a total exposure of 1.13 ton × year, deep underground at the Gran Sasso National Laboratory. The DAMA/LIBRA–phase2 apparatus, about 250 kg highly radio-pure NaI(Tl), profits from a second generation high quantum efficiency photomultipliers and of new electronics with respect to DAMA/LIBRA–phase1. The improved experimental configuration has also allowed to lower the software energy threshold. The DAMA/LIBRA–phase2 data confirm the evidence of a signal that meets all the requirements of the model independent Dark Matter annual modulation signature, at 9.5 σ C.L. in the energy region (1–6) keV. In the energy region between 2 and 6 keV, where data are also available from DAMA/NaI and DAMA/LIBRA–phase1, the achieved C.L. for the full exposure (2.46 ton × year) is 12.9 σ .
Journal Article
Prolyl endopeptidase remodels macrophage function as a novel transcriptional coregulator and inhibits fibrosis
Macrophages are immune cells crucial for host defense and homeostasis maintenance, and their dysregulation is involved in multiple pathological conditions, such as liver fibrosis. The transcriptional regulation in macrophage is indispensable for fine-tuning of macrophage functions, but the details have not been fully elucidated. Prolyl endopeptidase (PREP) is a dipeptidyl peptidase with both proteolytic and non-proteolytic functions. In this study, we found that
Prep
knockout significantly contributed to transcriptomic alterations in quiescent and M1/M2-polarized bone marrow-derived macrophages (BMDMs), as well as aggravated fibrosis in an experimental nonalcoholic steatohepatitis (NASH) model. Mechanistically, PREP predominantly localized to the macrophage nuclei and functioned as a transcriptional coregulator. Using CUT&Tag and co-immunoprecipitation, we found that PREP was mainly distributed in active
cis
-regulatory genomic regions and physically interacted with the transcription factor PU.1. Among PREP-regulated downstream genes, genes encoding profibrotic cathepsin B and D were overexpressed in BMDMs and fibrotic liver tissue. Our results indicate that PREP in macrophages functions as a transcriptional coregulator that finely tunes macrophage functions, and plays a protective role against liver fibrosis pathogenesis.
Liver fibrosis: Protective role of enzyme uncovered
An enzyme that exerts a protective effect against the development of liver fibrosis could provide a promising therapeutic target. Macrophages are innate immune cells that are also critical for maintaining the balance of tissue development and repair. Dysregulation in macrophages can trigger multiple conditions, including liver fibrosis, the excessive thickening and scarring of the organ’s tissues. Shuang-Zhe Lin at Shanghai Jiao Tong University School of Medicine, China, and co-workers demonstrated that the prolyl endopeptidase enzyme (PREP) localises to the nuclei of macrophages and regulates macrophage functions. PREP binds directly to a protein regulating gene expression, thereby influencing the production of profibrotic proteins, and protects against the development of fibrosis. Knocking out the
Prep
gene in a mouse model of nonalcoholic fatty liver disease led to altered macrophage functioning and aggravated liver fibrosis.
Journal Article
Chlorogenic Acid Prevents Osteoporosis by Shp2/PI3K/Akt Pathway in Ovariectomized Rats
Cortex Eucommiae is used worldwide in traditional medicine, various constituents of Cortex Eucommiae, such as chlorogenic acid (CGA), has been reported to exert anti-osteoporosis activity in China, but the mechanism about their contribution to the overall activity is limited. The aims of this study were to determine whether chlorogenic acid can prevent estrogen deficiency-induced osteoporosis and to analyze the mechanism of CGA bioactivity. The effect of CGA on estrogen deficiency-induced osteoporosis was performed in vivo. Sixty female Sprague-Dawley rats were divided randomly among a sham-operated group and five ovariectomy (OVX) plus treatment subgroups: saline vehicle, 17α-ethinylestradiol (E2), or CGA at 9, 27, or 45 mg/kg/d. The rats' femoral metaphyses were evaluated by micro-computed tomography (μCT). The mechanism of CGA bioactivity was investigated in vitro. Bone mesenchymal stem cells (BMSCs) were treated with CGA, with or without phosphoinositide 3-kinase (PI3K) inhibitor LY294002. BMSCs proliferation and osteoblast differentiation were assessed with 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) and alkaline phosphatase, with or without Shp2 interfering RNA (RNAi). The results display that CGA at 27 and 45 mg/kg/day inhibited the decrease of bone mineral density (BMD) that induced by OVX in femur (p< 0.01), significantly promoted the levels of bone turnover markers, and prevented bone volume fraction (BV/TV), connectivity density (CoonD), trabecular number (Tb.N), trabecular thickness (Tb.Th) (all p< 0.01) to decrease and prevented the trabecular separation (Tb.Sp), structure model index (SMI)(both p< 0.01) to increase. CGA at 1 or 10 μM enhanced BMSC proliferation in a dose-dependent manner. CGA at 0.1 to 10 μM increased phosphorylated Akt (p-Akt) and cyclin D1. These effects were reversed by LY294002. CGA at 1 or 10 μM increased BMSC differentiation to osteoblasts (p< 0.01), Shp2 RNAi suppressed CGA-induced osteoblast differentiation by decreasing Shp2, p-Akt, and cyclin D1. This study found that CGA improved the BMD and trabecular micro-architecture for the OVX-induced osteoporosis. Therefore, CGA might be an effective alternative treatment for postmenopausal osteoporosis. CGA promoted proliferation of osteoblast precursors and osteoblastic differentiation of BMSCs via the Shp2/PI3K/Akt/cyclin D1 pathway.
Journal Article
Credible capacity evaluation of virtual power plants considering wind and PV uncertainties
The increasing integration of weather-dependent renewable energy sources into Virtual Power Plants (VPPs) introduces significant uncertainty in short-term dispatch planning. This paper develops a comprehensive decision-making framework that jointly optimizes credible capacity allocation and operational dispatch under forecast uncertainty. We first compare three probabilistic forecasting methods—Bayesian Neural Networks (BNN), Quantile Regression Forests (QRF), and Gradient Boosted Decision Trees (GBDT)—to quantify wind and solar variability, using metrics such as root mean square error (RMSE), continuous ranked probability score (CRPS), and empirical coverage. BNN is selected as the primary forecasting tool due to its superior calibration and robustness across both resource types. A distributionally robust optimization (DRO) model is then formulated using a Wasserstein ambiguity set and a Conditional Value-at-Risk (CVaR) objective to hedge against worst-case renewable output scenarios. Empirical data from a stylized VPP system comprising 340 kW of installed renewables and urban mixed loads is used to evaluate the framework. Results indicate that the proposed DRO model reduces expected shortfall by up to 78% compared to deterministic baselines, and outperforms quantile-based models in both cost consistency and energy-not-supplied metrics. Scenario-based dispatch simulations reveal that increasing the CVaR confidence level from 90 to 99% improves system reliability from 95.1 to 99.7%, albeit with a 5.7% decline in expected profit. The analysis also quantifies the relative contribution of wind, solar, and load forecast errors to overall dispatch uncertainty. This work highlights the value of integrated probabilistic modelling and risk-aware optimization in enabling reliable and economically efficient VPP operations.
Journal Article
Investigation of Engineering Properties of Cement-Stabilized Calcareous Sand Foundation
Calcareous sand is widespread around Nansha Islands, South China Sea. In oceanic and coastal engineering, calcareous sand is usually used as a building foundation and backfill material for airport runway embankments. The engineering characteristics of calcareous sand is different from terrigenous sand because of its irregular grain shape, lower particle strength, and internal voids, which have caused many engineering problems in the last decades. Cement-stabilized soil, as a common foundation reinforcement method, can solve these engineering problems and improve the foundation strength effectively. Therefore, it is very important to estimate the engineering characteristics of cement-stabilized calcareous sand foundations. In this paper, the basic engineering characteristics, bearing capacity, and deformational behavior of calcareous sand were studied by carrying out a series of tests on cement-stabilized calcareous sand. It is found that: (1) the uniaxial compression strength of calcareous sand is higher than that of Guangzhou soft soil but lower than that of filter medium quartz sand; (2) the deformation of the calcareous sand under compression is mainly plastic, and the elastic deformation gradually increases with increasing cement content; (3) the apparent cohesion of calcareous sand increases, while internal friction angle decreases with increasing cement content; (4) cement-stabilized method can significantly improve the bearing capacity of calcareous sand foundation, especially for the saturated state. A cement content equal to or more than 15% and a thickness of 1/8 of the foundation can effectively improve the bearing capacity of the foundation; and (5) the ultimate bearing capacity of the foundation by numerical calculation is higher than that by experiments, while the settlement by calculating is lower.
Journal Article
Ranking-oriented machine learning framework for probabilistic wind power forecasting with temporal reliability constraints
Accurate wind power forecasting is essential for grid stability and energy market efficiency, yet traditional prediction methods often neglect the relative ordering and temporal consistency of outputs—factors critical for ranking-based decisions in grid dispatch, bidding, and reserve management. To address these shortcomings, this paper introduces a novel wind power forecasting framework that embeds ranking consistency and temporal smoothness directly into the learning objective. The proposed model employs a composite multi-objective loss that simultaneously minimizes point-wise prediction errors, maximizes rank alignment across forecasted values, and enforces temporal rank regularization to avoid instability in ordered outputs. A deep neural architecture based on attention mechanisms is trained end-to-end using historical wind speed, direction, turbulence, and meteorological covariates as inputs. To validate the model, we construct a high-resolution dataset comprising 12 wind farms over 24 months with synchronized SCADA, meteorological, and geographic information. Multiple wind regimes—including low, ramping, and saturation scenarios—are explicitly labeled to facilitate regime-aware evaluation. Extensive numerical experiments demonstrate that the proposed model outperforms baseline methods such as LSTM, Transformer, and LambdaMART in terms of MAE, RMSE, and normalized discounted cumulative gain (NDCG), particularly under high-fluctuation regimes. Moreover, we introduce a Temporal Rank Stability Index (TRSI) to quantify the consistency of ordinal outputs across time, with our model achieving up to 35% improvement over state-of-the-art alternatives. This study offers three core contributions: (1) a theoretically grounded multi-objective loss for ranking-aware and temporally robust wind forecasting, (2) a novel wind regime-labeled dataset supporting both prediction and ranking evaluation, and (3) a suite of visualization tools and metrics that reveal deeper dynamics in ordinal wind forecasting tasks. The results suggest new directions for learning-to-rank in renewable energy forecasting and demonstrate the practical feasibility of incorporating rank-sensitive intelligence into grid-scale forecasting pipelines.
Journal Article
TCF7 enhances pulmonary hypertension by boosting stressed natural killer cells and their interaction with pulmonary arterial smooth muscle cells
Background
Pulmonary hypertension (PH) is a life-threatening cardio-pulmonary disorder. Whether natural killer (NK) cells could act as participants in PH and the mechanism by which NK cells moderate pulmonary vascular remodeling has not been fully elucidated.
Methods
Single-cell RNA sequencing data from lungs of human pulmonary arterial hypertension (PAH) patients and monocrotaline (MCT)-induced PH rat model were retrieved from GEO database or UCSC Cell Browser. Tcf7 conditional knockout mice and TCF7 overexpression following adeno-associated virus 6 (AAV6) intratracheal delivery in rats were generated. The NK92 cell line and primary human pulmonary artery smooth muscle cells (hPASMCs) were used for in vitro experiments.
Results
Stressed NK cells were much higher in lungs from human PAH and MCT-induced PH compared to corresponding controls. Of note, TCF7 topped the list differentiating high-stressed from low-stressed human NK cells. TCF7-expressing NK cells displayed higher stress profile than TCF7-deficient cells. Tcf7-deficient NK cells exhibited lower Hsp90aa1 and Hsp90ab1 at transcriptional level and Hsp90 at protein level than Tcf7-expressing cells 24 h post-hypoxia. Mechanistically, TCF7-overexpressing NK cells secrete more SPP1 compared to control NK cells, thus promoting the proliferation and migration of hPASMCs 48 h post-hypoxia. TCF7 overexpression in rats aggravated PH features, while Tcf7 deficiency in mice alleviated pulmonary remodeling possibly due to the manipulation of HSP90 level in NK cells and SPP1 in the microenvironment.
Conclusions
TCF7 contributes to the immunopathology of PH possibly through upregulation of stressed NK cells. Under stress conditions, NK cells promote the proliferation and migration of hPASMC through paracrine effects, thereby further promoting vascular remodeling.
Journal Article
Identification of ACKR4 as an immune checkpoint in pulmonary arterial hypertension
Inflammation is recognized as a contributor in the development of pulmonary arterial hypertension (PAH), and the recruitment and functional capacity of immune cells are well-orchestrated by chemokines and their receptors. This study is aimed at identification of critical chemokines in the progression of PAH
transcriptomic analysis.
Differentially expressed genes (DEGs) from lungs of PAH patients were achieved compared to controls based on Gene Expression Omnibus (GEO) database. Gene set enrichment analysis (GSEA) was applied for functional annotation and pathway enrichement. The abundance of immune cells was estimated by the xCell algorithm. Weighted correlation network analysis (WGCNA) was used to construct a gene expression network, based on which a diagnostic model was generated to determine its accuracy to distinguish PAH from control subjects. Target genes were then validated in lung of hypoxia-induce pulmonary hypertension (PH) mouse model.
ACKR4 (atypical chemokine receptor 4) was downregulated in PAH lung tissues in multiple datasets. PAH relevant biological functions and pathways were enriched in patients with low-ACKR4 level according to GSEA enrichment analysis. Immuno-infiltration analysis revealed a negative correlation of activated dendritic cells, Th1 and macrophage infiltration with ACKR4 expression. Three gene modules were associated with PAH
WGCNA analysis, and a model for PAH diagnosis was generated using CXCL12, COL18A1 and TSHZ2, all of which correlated with ACKR4. The ACKR4 expression was also downregulated in lung tissues of our experimental PH mice compared to that of controls.
The reduction of ACKR4 in lung tissues of human PAH based on transcriptomic data is consistent with the alteration observed in our rodent PH. The correlation with immune cell infiltration and functional annotation indicated that ACKR4 might serve as a protective immune checkpoint for PAH.
Journal Article
Dietary patterns and their associations with the metabolic syndrome and predicted 10-year risk of CVD in northwest Chinese adults
The impact of diet on the metabolic syndrome (MetS) and CVD has been investigated widely, but few studies have investigated the association between dietary patterns (DP) and the predicted CVD, derived from reduced rank regression (RRR). The objectives of this study were to derive DP using RRR and principal component analysis (PCA) and investigate their associations with the MetS and estimated 10-year atherosclerotic CVD (ASCVD). We used the baseline dataset from the Xinjiang multi-ethnic cohort study in China, collected from June 2018 to May 2019. A total of 14 982 subjects aged 35–74 years from Urumqi, Huo Cheng and Mo Yu were included in the analysis. The 10-year ASCVD risk was estimated using the Chinese ASCVD risk equations. The associations of DP with the MetS and 10-year ASCVD were determined using multivariable logistic regression models. In Urumqi and Mo Yu, the increased RRR DP score was associated with a higher OR of having the MetS and with a higher OR of elevated 10-year ASCVD risk. However, only the first DP determined by PCA in Urumqi was inversely associated with the MetS and elevated 10-year ASCVD risk. The prevalence of the MetS and elevated ASCVD risk in urban population is higher than that in rural areas. Our results may help nutritionists develop more targeted dietary strategies to prevent the MetS and ASCVD in different regions in China.
Journal Article