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"Ji, Xiang"
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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
Nano‐Enhanced Graphite/Phase Change Material/Graphene Composite for Sustainable and Efficient Passive Thermal Management
Passive battery thermal management systems (BTMSs) are critical for mitigation of battery thermal runaway (TR). Phase change materials (PCMs) have shown promise for mitigating transient thermal challenges. Fluid leakage and low effective thermal conductivity limit PCM adoption. Furthermore, the thermal capacitance of PCMs diminishes as their latent load is exhausted, creating an unsustainable cooling effect that is transitory. Here, an expanded graphite/PCM/graphene composite that solves these challenges is proposed. The expanded graphite/PCM phase change composite eliminates leakage and increases effective thermal conductivity while the graphene coating enables radiative cooling for PCM regeneration. The composite demonstrates excellent thermal performance in a real BTMS and shows a 26% decrease in temperature when compared to conventional BTMS materials. The composite exhibits thermal control performance comparable with active cooling, resulting in reduced cost and increased simplicity. In addition to BTMSs, this material is anticipated to have application in a plethora of engineered systems requiring stringent thermal management. A scalable, durable, lightweight, compact, leak‐free graphite/phase change material/graphene composite with high effective thermal conductivity is developed for battery thermal management applications. The composite efficiently absorbs battery heat and releases it to the environment using its intrinsically high thermal conductivity and high surface emissivity. This composite material enables passive cooling for potential application in aerospace, building, and mobile applications.
Journal Article
رومانسية الغرفة الغربية : رواية
رومانسية الغرفة الغربية هي واحدة من المسرحيات الدرامية التي حظيت بشعبية لا مثيل لها في الصين، منذ ظهورها في القرن الثالث عشر الميلادي، وقد تعرضت لنقد كثير إيجابي وسلبي على حد سواء، وكان لها تأثير كبير على العديد من المسرحيات والقصص القصيرة والروايات اللاحقة، كما لعبت دورا مهما في تطور النقد الدرامي. تتناول هذه المسرحية عدة مواضيع، منها : الثورة على الأعراف السائدة، ودعم حرية الشباب في اختيار الزوج المناسب بأنفسهم في ذلك الوقت، بعيدا عن قيود جميع العادات والتقاليد القديمة البالية، من خلال علاقة تجمع بين طالب علم مكافح وفتاة جميلة يحبان بعضهما من النظرة الأولى. يهدف هذا الكتاب-بلغته السلسة وكلماته البسيطة إلى مساعدة القراء في جميع أنحاء العالم على فهم هذه المسرحية.
A Comprehensive Survey of Vision-Based Human Action Recognition Methods
Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision. Most recent surveys have focused on narrow problems such as human action recognition methods using depth data, 3D-skeleton data, still image data, spatiotemporal interest point-based methods, and human walking motion recognition. However, there has been no systematic survey of human action recognition. To this end, we present a thorough review of human action recognition methods and provide a comprehensive overview of recent approaches in human action recognition research, including progress in hand-designed action features in RGB and depth data, current deep learning-based action feature representation methods, advances in human–object interaction recognition methods, and the current prominent research topic of action detection methods. Finally, we present several analysis recommendations for researchers. This survey paper provides an essential reference for those interested in further research on human action recognition.
Journal Article
Causal Effects of Gut Microbiome on Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study
The observational association between gut microbiome and systemic lupus erythematosus (SLE) has been well documented. However, whether the association is causal remains unclear. The present study used publicly available genome-wide association study (GWAS) summary data to perform two-sample Mendelian randomization (MR), aiming to examine the causal links between gut microbiome and SLE. Two sets of MR analyses were conducted. A group of single nucleotide polymorphisms (SNPs) that less than the genome-wide statistical significance threshold (5 × 10 -8 ) served as instrumental variables. To obtain a comprehensive conclusion, the other group where SNPs were smaller than the locus-wide significance level (1 × 10 -5 ) were selected as instrumental variables. Based on the locus-wide significance level, the results indicated that there were causal effects of gut microbiome components on SLE risk. The inverse variance weighted (IVW) method suggested that Bacilli and Lactobacillales were positively correlated with the risk of SLE and Bacillales , Coprobacter and Lachnospira were negatively correlated with SLE risk. The results of weighted median method supported that Bacilli , Lactobacillales , and Eggerthella were risk factors for SLE and Bacillales and Coprobacter served as protective factors for SLE. The estimates of MR Egger suggested that genetically predicted Ruminiclostridium6 was negatively associated with SLE. Based on the genome-wide statistical significance threshold, the results showed that Actinobacteria might reduce the SLE risk. However, Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) detected significant horizontal pleiotropy between the instrumental variables of Ruminiclostridium6 and outcome. This study support that there are beneficial or detrimental causal effects of gut microbiome components on SLE risk.
Journal Article
No Genetic Causal Association Between Periodontitis and Arthritis: A Bidirectional Two-Sample Mendelian Randomization Analysis
Periodontitis (PD) has been linked to arthritis in previous epidemiological observational studies; however, the results are inconclusive. It remains unclear whether the association between PD and arthritis is causal. The purpose of this study was to investigate the causal association of PD with arthritis, including rheumatoid arthritis (RA) and osteoarthritis (OA).
We performed a two-sample bidirectional Mendelian randomization (MR) analysis using publicly released genome-wide association studies (GWAS) statistics. The inverse-variance weighted (IVW) method was used as the primary analysis. We applied four complementary methods, including weighted median, weighted mode, MR-Egger regression and MR pleiotropy residual sum and outlier (MR-PRESSO) to detect and correct for the effect of horizontal pleiotropy.
Genetically determined PD did not have a causal effect on OA (OR = 1.06, 95% CI: 0.99-1.15,
= 0.09) and RA (OR = 0.99, 95% CI: 0.87-1.13,
= 0.89). Furthermore, we did not find a significant causal effect of arthritis on PD in the reverse MR analysis. The results of MR-Egger regression, Weighted Median, and Weighted Mode methods were consistent with those of the IVW method. Horizontal pleiotropy was unlikely to distort the causal estimates according to the sensitivity analysis.
Our MR analysis reveals non-causal association of PD with arthritis, despite observational studies reporting an association between PD and arthritis.
Journal Article
Achieving large thermal hysteresis in an anthracene-based manganese(II) complex via photo-induced electron transfer
Achieving magnetic bistability with large thermal hysteresis is still a formidable challenge in material science. Here we synthesize a series of isostructural chain complexes using 9,10-anthracene dicarboxylic acid as a photoactive component. The electron transfer photochromic Mn
2+
and Zn
2+
compounds with photogenerated diradicals are confirmed by structures, optical spectra, magnetic analyses, and density functional theory calculations. For the Mn
2+
analog, light irradiation changes the spin topology from a single Mn
2+
ion to a radical-Mn
2+
single chain, further inducing magnetic bistability with a remarkably wide thermal hysteresis of 177 K. Structural analysis of light irradiated crystals at 300 and 50 K reveals that the rotation of the anthracene rings changes the Mn1–O2–C8 angle and coordination geometries of the Mn
2+
center, resulting in magnetic bistability with this wide thermal hysteresis. This work provides a strategy for constructing molecular magnets with large thermal hysteresis via electron transfer photochromism.
Achieving magnetic bistability with large thermal hysteresis is still a challenge in material science. Here, the authors report a Mn(II) chain complex that enables light-induced magnetic bistability with a 177 K thermal hysteresis loop.
Journal Article
A Survey of Vision-Based Human Action Evaluation Methods
The fields of human activity analysis have recently begun to diversify. Many researchers have taken much interest in developing action recognition or action prediction methods. The research on human action evaluation differs by aiming to design computation models and evaluation approaches for automatically assessing the quality of human actions. This line of study has become popular because of its explosively emerging real-world applications, such as physical rehabilitation, assistive living for elderly people, skill training on self-learning platforms, and sports activity scoring. This paper presents a comprehensive survey of approaches and techniques in action evaluation research, including motion detection and preprocessing using skeleton data, handcrafted feature representation methods, and deep learning-based feature representation methods. The benchmark datasets from this research field and some evaluation criteria employed to validate the algorithms’ performance are introduced. Finally, the authors present several promising future directions for further studies.
Journal Article
Lasting antibody and T cell responses to SARS-CoV-2 in COVID-19 patients three months after infection
The dynamics, duration, and nature of immunity produced during SARS-CoV-2 infection are still unclear. Here, we longitudinally measured virus-neutralising antibody, specific antibodies against the spike (S) protein, receptor-binding domain (RBD), and the nucleoprotein (N) of SARS-CoV-2, as well as T cell responses, in 25 SARS-CoV-2-infected patients up to 121 days post-symptom onset (PSO). All patients seroconvert for IgG against N, S, or RBD, as well as IgM against RBD, and produce neutralising antibodies (NAb) by 14 days PSO, with the peak levels attained by 15–30 days PSO. Anti-SARS-CoV-2 IgG and NAb remain detectable and relatively stable 3–4 months PSO, whereas IgM antibody rapidly decay. Approximately 65% of patients have detectable SARS-CoV-2-specific CD4
+
or CD8
+
T cell responses 3–4 months PSO. Our results thus provide critical evidence that IgG, NAb, and T cell responses persist in the majority of patients for at least 3–4 months after infection.
Understanding if lasting immune responses can be induced by SARS-CoV-2 infection is important for controlling the COVID-19 pandemic. Here, the authors show, in a cohort of 25 patients, that IgG and T cell responses, as well as neutralising antibody, are still detectable against various SARS-CoV-2 proteins 3 months post-symptom onset, while IgM levels largely wane at this time.
Journal Article