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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
Neuronal dynamics direct cerebrospinal fluid perfusion and brain clearance
The accumulation of metabolic waste is a leading cause of numerous neurological disorders, yet we still have only limited knowledge of how the brain performs self-cleansing. Here we demonstrate that neural networks synchronize individual action potentials to create large-amplitude, rhythmic and self-perpetuating ionic waves in the interstitial fluid of the brain. These waves are a plausible mechanism to explain the correlated potentiation of the glymphatic flow
1
,
2
through the brain parenchyma. Chemogenetic flattening of these high-energy ionic waves largely impeded cerebrospinal fluid infiltration into and clearance of molecules from the brain parenchyma. Notably, synthesized waves generated through transcranial optogenetic stimulation substantially potentiated cerebrospinal fluid-to-interstitial fluid perfusion. Our study demonstrates that neurons serve as master organizers for brain clearance. This fundamental principle introduces a new theoretical framework for the functioning of macroscopic brain waves.
Rhythmic neural activity drives cerebrospinal fluid perfusion through brain parenchyma to enhance brain cleansing.
Journal Article
Impedance of Inner Saturated Soil to Horizontally Vibrating Large-Diameter Pipe Piles
An analytical solution for the inner soil impedance of saturated soil to a horizontally vibrating large-radius pipe pile was presented. Based on the porous media theory and the assumption that the vertical normal stress is zero, the closed solution of the inner soil impedance of the saturated soil to the movement of the large-diameter pipe pile is obtained. This analytical solution considers the influence of saturated soil parameters on the impedance of the core soil of large-diameter pipe piles. Through numerical examples, the variation law of the inner soil impedance with pile radius, pile length, dimensionless frequency, compression coefficient, effective permeability coefficient, and porosity was analyzed and the pile radius corresponding to effective inner soil impedance is determined.
Journal Article
Electromechanical impedance based self-diagnosis of piezoelectric smart structure using principal component analysis and LibSVM
The long-term use of a piezoelectric smart structure make it difficult to judge whether the structure or piezoelectric lead zirconate titanate (PZT) is damaged when the signal changes. If the sensor fault occurs, the cases and degrees of the fault are unknown based on the electromechanical impedance method. Therefore, after the principal component analysis (PCA) of six characteristic indexes, a two-component solution that could explain 99.2% of the variance in the original indexes was obtained to judge whether the damage comes from the PZT. Then LibSVM was used to make an effective identification of four sensor faults (pseudo soldering, debonding, wear, and breakage) and their three damage degrees. The result shows that the identification accuracy of damaged PZT reached 97.5%. The absolute scores of PCA comprehensive evaluation for structural damages are less than 0.5 while for sensor faults are greater than 0.6. By comparing the scores of the samples under unknown conditions with the set threshold, whether the sensor faults occur is effectively judged; the intact and 12 possible damage states of PZT can be all classified correctly with the model trained by LibSVM. It is feasible to use LibSVM to classify the cases and degrees of sensor faults.
Journal Article
EMPDTA: An End-to-End Multimodal Representation Learning Framework with Pocket Online Detection for Drug–Target Affinity Prediction
Accurately predicting drug–target interactions is a critical yet challenging task in drug discovery. Traditionally, pocket detection and drug–target affinity prediction have been treated as separate aspects of drug–target interaction, with few methods combining these tasks within a unified deep learning system to accelerate drug development. In this study, we propose EMPDTA, an end-to-end framework that integrates protein pocket prediction and drug–target affinity prediction to provide a comprehensive understanding of drug–target interactions. The EMPDTA framework consists of three main modules: pocket online detection, multimodal representation learning for affinity prediction, and multi-task joint training. The performance and potential of the proposed framework have been validated across diverse benchmark datasets, achieving robust results in both tasks. Furthermore, the visualization results of the predicted pockets demonstrate accurate pocket detection, confirming the effectiveness of our framework.
Journal Article
CAR-T cell therapy clinical trials: global progress, challenges, and future directions from ClinicalTrials.gov insights
Chimeric antigen receptor T (CAR-T) cell therapy has undergone vigorous development in recent years, yet it still faces significant challenges and difficulties in its clinical application and further development. A systematic synthesis of global trends in CAR-T clinical trials is essential to identify knowledge gaps, optimize treatment strategies, and guide future research directions. This review analyzed 1,580 CAR-T clinical trials registered at ClinicalTrials.gov as of April 2024, and extracted characteristic data in multiple dimensions, including target specificity, treatment indication, and development stage etc. The transparency of trial outcomes was assessed by validation with articles published in PubMed/Google Scholar. Additionally, it is complemented by investigator surveys assessing to barriers to CAR-T development, prospects, and recommendations.
Journal Article
PINOID regulates floral organ development by modulating auxin transport and interacts with MADS16 in rice
Summary In rice (Oryza sativa L.), floral organ development is an important trait. Although a role for PINOID in regulating floral organ development was reported recently, the underlying molecular mechanism remains unclear. Here, we isolated and characterized an abnormal floral organ mutant and mapped the causative gene through an improved MutMap method. Molecular study revealed that the observed phenotype is caused by a point mutation in OsPINOID (OsPID) gene; therefore, we named the mutation as ospid‐4. Our data demonstrate that OsPID interacts with OsPIN1a and OsPIN1b to regulate polar auxin transport as shown previously. Additionally, OsPID also interacts with OsMADS16 to regulate transcription during floral organ development in rice. Together, we propose a model that OsPID regulates floral organ development by modulating auxin polar transport and interaction with OsMADS16 and/or LAX1 in rice. These results provide a novel insight into the role of OsPID in regulating floral organ development of rice, especially in stigma development, which would be useful for genetic improvement of high‐yield breeding of rice.
Journal Article
All-cause mortality risk in aged femoral intertrochanteric fracture patients
Introduction
The 1-year mortality rate after femoral intertrochanteric fracture is higher than that of femoral neck fracture, which also belongs to hip fracture (Cui et al. in Arch Osteoporos 14(1):55, 2019). With the application of the concept of co-management model of orthopedics and geriatrics, the short-term and long-term mortality of all types of hip fractures has decreased (Van Heghe et al. in Calcif Tissue Int, 2021,
https://doi.org/10.1007/s00223-021-00913-5
). However, the mortality of Chinese femoral intertrochanteric fracture patients under this model has not been reported in the literatures.
Aim
This paper aims to study the risk factors of postoperative all-cause mortality in aged patients with femoral intertrochanteric fracture under the co-management model of orthopedics and geriatrics.
Materials and methods
This is a single-center prospective cohort study based on the real world, under the co-management of orthopedics and geriatrics, 363 patients aged ≥ 65 years with femoral intertrochanteric fracture were enrolled and followed up for 2–3 years; 52 patients were lost to follow up. Age, gender, body mass index (BMI), history of comorbidities, hip Bone Mineral Density (BMD), fracture history, 25(OH)D level, hemoglobin level, anti-osteoporosis treatment were risk factors to be tested. Kaplan–Meier survival curves and multivariate Cox proportional hazards models were constructed to analyze the impact of factors on all-cause mortality.
Results
(1) Most of the dead patients were older (the mean age was 83.4 years, compared with 79.8 years for surviving patients), with more complications and without anti-osteoporosis medication; gender, pre-fracture history, BMI, total hip BMD, hemoglobin, 25(OH)D had no difference between the dead and the living patients. (2) Elderly patients with Intertrochanteric fracture can benefit from the early treatment of Zoledronic Acid (within 3 days after the operation).
Conclusion
Under the co-management of orthopedics and geriatrics, to Chinese patients with Femoral Intertrochanteric fracture, Doctors should pay more attention to their age and chronic disease, and give anti-osteoporosis treatment if allowed.
Journal Article
Associations between e-health literacy and chronic disease self-management in older Chinese patients with chronic non-communicable diseases: a mediation analysis
Background
Chronic non-communicable diseases (CNCDs) are an urgent public health issue in China, especially among older adults. Hence, self-management is crucial for disease progression and treatment. Electronic health (e-health) literacy and self-efficacy positively correlate with self-management. However, we know little about their underlying mechanisms in older adults with CNCDs.
Objective
To explore the factors that influence chronic disease self-management (CDSM) and verify self-efficacy as the mediator between e-health literacy and self-management behavior in older patients with CNCDs.
Methods
This cross-sectional study included 289 older patients with CNCDs from Hunan province, China, between July and November 2021. E-health literacy, self-efficacy, social support, and CDSM data were collected through questionnaires. The influence of each factor on CDSM was explored with multiple linear regression analysis. Intermediary effects were computed via a structural equation model.
Results
The total CDSM score in the patients was 29.39 ± 9.60 and only 46 (15.92%) patients used smart healthcare devices. The regression analysis showed e-health literacy, self-efficacy, and social support were the factors that affected CDSM. Furthermore, the structural equation model revealed that self-efficacy directly affected CDSM (
β
= 0.45,
P
< 0.01), whereas e-health literacy affected it directly (
β
= 0.42,
P
< 0.01) and indirectly (
β
= 0.429,
P
< 0.01) through self-efficacy.
Conclusions
This study revealed that self-management among older patients with CNCDs is at a low level, and few of them use smart healthcare devices. Self-efficacy plays a partial intermediary role between e-health literacy and self-management in older patients with CNCDs. Thus, efforts to improve their CDSM by targeting e-health literacy may be more effective when considering self-efficacy.
Journal Article
miRNA-130b-3p upregulation impairs osteogenic differentiation in AIS patients by inhibiting the IGF1/ERK pathway
Adolescents with idiopathic scoliosis (AIS) often exhibit a slender body shape and reduced bone mass, even in the absence of evident vertebral deformities. Although prior studies have implicated microRNAs (miRNAs) in the development and progression of AIS, the precise mechanisms remain poorly understood. Therefore, primary osteoblasts and plasma samples from AIS patients and controls were isolated and associated mechanism was investigated in this study. We observed impaired osteogenic capacity of AIS-osteoblasts, and further identified a significant elevation of miRNA-130b-3p in AIS patients compared to controls through RNA sequencing of plasma samples. The expression levels of miR-130b-3p were validated in an independent cohort of 40 individuals using qPCR. Dual-energy X-ray absorptiometry showed reduced bone mineral density (BMD) in AIS patients. And the correlation analysis revealed a significant negative relationship between miR-130b-3p levels and BMD. Additionally, transcriptomic analysis and dual-luciferase assays confirmed that overexpression of miR-130b-3p in primary osteoblasts inhibited the activation of the ERK1/2 signaling pathway by targeting IGF1, thereby disrupting bone metabolism. Meanwhile, knockdown of miR-130b-3p in AIS-derived osteoblasts improved osteogenic function. In zebrafish, miR-130b-3p overexpression delayed vertebral development and induced spinal deformities. In summary, this study identifies a significant increase of miR-130b-3p in AIS patients and demonstrates its role in impairing osteogenic function through suppression of the IGF1/ERK signaling pathway.
Journal Article