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result(s) for
"Fu, Xi"
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التخفيف من حدة الفقر في الصين المعاصرة
by
Wang, Sangui, 1962- مؤلف
,
Ma, Xiao مؤلف
,
Zeng, Xiao Xi مؤلف
in
الفقر الصين وقاية
,
الصين سياسة اقتصادية
2021
استنادا إلى نظرة عامة على أوضاع الفقر، يقدم هذا الكتاب مسار التخفيف من حدة الفقر والتنمية في الصين، ويشرح نموذج التنمية والتخفي من حدة الفقر بخصائص صينية والتمسك بمباديء (سيطرة الحكومة ومشاركة المجتمع والاعتماد على الذات والتنمية الموجهة والتنمية الشاملة) كما يقدم الكتاب تلخيصا شاملا لإنجازات الصين العظيمة وخبراتها الهامة وإسهاماتها الرئيسية في قضية التخفيف من حدة الفقر في العالم، ويعرض بإيجاز نظرات وممارسات التخفيف المستهدف من الفقر في العصر الجديد من أجل توفير مراجع لكسب المعركة ضد الفقر في الصين وقضية التخفيف من حدة الفقر في العالم.
The Information Role of Earnings Conference Call Tone: Evidence from Stock Price Crash Risk
by
Fu, Xi
,
Wu, Xiaoxi
,
Zhang, Zhifang
in
Annual reports
,
Business and Management
,
Business Ethics
2021
This paper investigates whether and how the disclosure tone of earnings conference calls predicts future stock price crash risk. Using US public firms' conference call transcripts from 2010 to 2015, we find that firms with less optimistic tone of year-end conference calls experience higher stock price crash risk in the following year. Additional analyses reveal that the predictive power of tone is more pronounced among firms with better information environment and lower managerial equity incentives, suggesting that extrinsic motivations for truthful disclosure partially explain the predictive power of conference call tone. Our results shed light on the long-term information role of conference call tone by exploring the setting of extreme future downside risk, when managers have conflicting incentives either to unethically manipulate disclosure tone to hide bad news or to engage in ethical and truthful communication.
Journal Article
تاريخ العلاقات بين الصين وعمان
by
Wang, Xiaofu, 1952- مؤلف
,
Li, Anshan, 1953- مؤلف
,
Fu, Zhiming, 1965- مترجم
in
الصين علاقات خارجية عمان (سلطنة)
,
عمان (سلطنة) علاقات خارجية الصين
2025
يستعرض هذا الكتاب الجوانب التاريخية والسياسية والثقافية للعلاقات بين الصين وسلطنة عمان، منذ العصور القديمة وحتى العصر الحديث، مع تركيز خاص على التبادل التجاري والبحري الذي ازدهر بين الجانبين عبر طريق الحرير البحري. يبرز الكتاب كيف شكل التواصل الحضاري بين الصين وعمان أحد أقدم النماذج للعلاقات السلمية في التاريخ، حيث ساهم البحارة العمانيون في نقل السلع والثقافات بين الشرق الأقصى والجزيرة العربية. كما يتناول العلاقات الدبلوماسية الحديثة بين البلدين، وتطورها في إطار الشراكات الاقتصادية ومبادرة الحزام والطريق، مؤكدا على الاحترام المتبادل والتعاون المتوازن بين البلدين عبر القرون.
Postmortem Studies of Neuroinflammation in Autism Spectrum Disorder: a Systematic Review
2020
Although the neurobiological basis for autism spectrum disorder (ASD) has not yet been fully clarified, converging lines of evidence implicated a role of neuroinflammation in the etiological pathway of this disorder. The present article provided a systematic review of publications regarding the involvement of different components of neuroinflammation in postmortem brain samples of subjects diagnosed with ASD. A systematic search of PubMed, Embase, and Web of Science was conducted, which was supplemented by manual searching of reference lists of included articles. The screening for study and extraction of data were conducted by two independent authors after reviewing the abstract and full text. Of 356 articles identified in the literature search, 27 articles comprising 685 subjects (ASD = 313, controls = 351, schizophrenia = 10, epilepsy = 11) covering 19 brain regions met the eligibility criteria for this review. The search yielded 11 studies that estimated astrocyte-related changes, 8 studies that reported microglia-related changes, 2 studies that evaluated oligodendrocyte-related changes, 3 studies that examined changes in glial cells without differentiating cell types, 6 studies that evaluated the levels of cytokines and chemokines, and 7 studies that measured other inflammatory parameters in postmortem brain samples of subjects with ASD compared with controls. Although a few studies noted a lack of changes in neuroinflammatory markers in postmortem brain samples of ASD subjects, the majority of studies supported the presence of neuroinflammation in the neurobiological pattern of ASD as shown by activation of astrocytes and microglia together with abnormal levels of cytokines and chemokines.
Journal Article
Few‐shot learning for plant disease recognition: A review
2024
Monitoring plant diseases is essential for farmers to secure crop quantity and quality. Deep learning has recently been applied to plant disease recognition to help farmers take prompt and proper actions to prevent reductions in crop quantity and quality. Generally, deep learning requires a large‐scale dataset with supervised information annotated often by specialists. However, because collecting plant disease images in natural environments is difficult and obtaining proper annotations from specialists is costly, deep learning is infeasible for plant disease recognition tasks. Few‐shot learning (FSL) is an alternative for plant disease recognition using prior knowledge. Although FSL has attracted considerable attention, comprehensive reports on the application of FSL methods for plant disease recognition are required. Here, we introduce FSL with its applications in plant disease recognition. We begin with an overview of computer vision tasks using machine learning and FSL. We provide practical examples of FSL applications. Utilizing these practical examples, we describe different approaches for data augmentation and FSL methods of embedding, multitask learning, transfer learning, and meta‐learning. Further, we summarize how models are optimized for performance with reference to existing studies. Finally, the advantages and disadvantages are discussed, along with potential challenges for FSL applications in plant disease recognition. Core Ideas Generally, machine learning requires a large‐scale dataset with supervised information annotated by specialists. Few‐shot learning (FSL) is a new paradigm machine learning that enables machines to learn from small samples. FSL has attracted research attention in plant disease recognition. This review introduces FSL with its applications in plant disease recognition.
Journal Article
Overexpression of long non-coding RNA MALAT1 is correlated with clinical progression and unfavorable prognosis in pancreatic cancer
2015
Long non-coding RNAs (lncRNAs) have been proved to serve as a critical role in cancer development and progression. However, little is known about the pathological role of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in pancreatic cancer patients. The aims of this study are to measure the expression of lncRNA MALAT1 in pancreatic cancer patients and to explore the clinical significance of the lncRNA MALAT1. Using qRT-PCR, the expression of lncRNA MALAT1 was measured in 126 pancreatic cancer tissues and 15 adjacent non-cancerous tissues. In the present study, our results indicated that lncRNA MALAT1 was highly expressed in pancreatic cancer compared with adjacent non-cancerous tissues (
P
< 0.001), and positively correlated with clinical stage (early stages vs. advanced stages,
P
< 0.001), tumor size (<2 vs. ≥2 cm,
P
= 0.004), lymph node metastasis (negative vs. positive,
P
< 0.001), and distant metastasis (absent vs. present,
P
= 0.001) in pancreatic cancer patients. Furthermore, we also found that lncRNA MALAT1 overexpression was an unfavorable prognostic factor in pancreatic cancer patients (
P
< 0.001), regardless of clinical stage, tumor size, lymph node metastasis, and distant metastasis. Finally, increased lncRNA MALAT1 expression was an independent poor prognostic factor for pancreatic patients through multivariate analysis (
P
= 0.018). In conclusion, overexpression of lncRNA MALAT1 serves as an unfavorable prognostic biomarker in pancreatic cancer patients.
Journal Article
Impulse oscillometry for detection of small airway dysfunction in subjects with chronic respiratory symptoms and preserved pulmonary function
by
Li, Liang-Yuan
,
Fu, Lin-Xi
,
Wang, Mao-Yun
in
Adult
,
Airway obstruction (Medicine)
,
Airway Resistance - physiology
2021
Background
Subjects with chronic respiratory symptoms and preserved pulmonary function (PPF) may have small airway dysfunction (SAD). As the most common means to detect SAD, spirometry needs good cooperation and its reliability is controversial. Impulse oscillometry (IOS) may complete the deficiency of spirometry and have higher sensitivity. We aimed to explore the diagnostic value of IOS to detect SAD in symptomatic subjects with PPF.
Methods
The evaluation of symptoms, spirometry and IOS results in 209 subjects with chronic respiratory symptoms and PPF were assessed. ROC curves of IOS to detect SAD were analyzed.
Results
209 subjects with chronic respiratory symptoms and PPF were included. Subjects who reported sputum had higher R5–R20 and Fres than those who didn’t. Subjects with dyspnea had higher R5, R5–R20 and AX than those without. CAT and mMRC scores correlated better with IOS parameters than with spirometry. R5, R5–R20, AX and Fres in subjects with SAD (n = 42) significantly increased compared to those without. Cutoff values for IOS parameters to detect SAD were 0.30 kPa/L s for R5, 0.015 kPa/L s for R5–R20, 0.30 kPa/L for AX and 11.23 Hz for Fres. Fres has the largest AUC (0.665, P = 0.001) among these parameters. Compared with spirometry, prevalence of SAD was higher when measured with IOS. R5 could detect the most SAD subjects with a prevalence of 60.77% and a sensitivity of 81% (AUC = 0.659, P = 0.002).
Conclusion
IOS is more sensitive to detect SAD than spirometry in subjects with chronic respiratory symptoms and PPF, and it correlates better with symptoms. IOS could be an additional method for SAD detection in the early stage of diseases.
Journal Article
Genetic pathogenesis of acephalic spermatozoa syndrome: past, present, and future
by
Xiang, Ming-Fei
,
Zhu, Fu-Xi
,
Wang, Yu
in
acephalic spermatozoa syndrome; genetic pathogenesis; male infertility
,
Genetic aspects
,
Genetic research
2022
Acephalic spermatozoa syndrome (ASS) is one of the most severe spermatogenic failures of all infertility in men. The cognition of ASS has experienced a tortuous process. Over the past years, with the in-depth understanding of spermatogenesis and the emergence of new genetic research technologies, the unraveling of the genetic causes of spermatogenic failure has become highly active. From these advances, we established a genetic background and made significant progress in the discovery of the genetic causes of ASS. It is important to identify pathogenic genes and mutations in ASS to determine the biological reasons for the occurrence of the disease as well as provide genetic diagnosis and treatment strategies for patients with this syndrome. In this review, we enumerate various technological developments, which have made a positive contribution to the discovery of candidate genes for ASS from the past to the present. Simultaneously, we summarize the known genetic etiology of this phenotype and the clinical outcomes of treatments in the present. Furthermore, we propose perspectives for further study and application of genetic diagnosis and assisted reproductive treatment in the future.
Journal Article
MicroRNA-126-3p Attenuates Intracerebral Hemorrhage-Induced Blood-Brain Barrier Disruption by Regulating VCAM-1 Expression
by
Fu, Xi
,
Niu, Tiesheng
,
Li, Xiaodong
in
3' Untranslated regions
,
Angiogenesis
,
Blood-brain barrier
2019
miR-126 is closely related to the occurrence of various complications after intracerebral hemorrhage (ICH), but the molecular mechanism is not fully elucidated. This study aimed to explore the mechanism of miR-126-3p in alleviating brain injury after ICH.
Serum miR-126-3p levels were compared between patients with IHC and healthy controls. A rat model of ICH was generated by intracerebral injection of Type VII collagenase. The rats were intracerebral injected with miR-126-3p mimics or negative control miRNA. Rat brain microvascular endothelial cells (BMECs) were used as a cell model of blood-brain barrier (BBB), and validated by immunofluorescence staining of Factor VIII. The BBB permeability of BMECs after miR-126-3p antagomir transfection was determined by FITC-dextran 20 through a confluent BMECs layer (measured over 120 min). The binding site of miR-126-3p in the 3'UTR of VCAM-1 was predicated by TargetScan, and verified by dual luciferase reporter assay. The expression levels of miR-126-3p and vascular cell adhesion molecule-1 (VCAM-1) in rat brain tissues and BMECs were measured by real-time PCR or western blotting.
Serum miR-126-3p level was markedly down-regulated in patients with ICH. The rats with ICH had decreased miR-126-3p levels in serum and hemorrhagic area, while those changes were reversed by the treatment with miR-126-3p mimic. VCAM-1 is a direct target of miR-126-3p, and VCAM-1 expression in hemorrhagic area was down-regulated by the administration of miR-126-3p mimic in rats. Inhibition of miR-126-3p by anti-miR126 treatment in BMECs resulted in barrier leakage.
miR-126-3p attenuates intracerebral hemorrhage-induced blood-brain barrier disruption, which is associated with down-regulated expression of VCAM-1 in hemorrhagic area.
Journal Article