Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
32,728
result(s) for
"Tan, Li"
Sort by:
شي جين بينغ : حول الحكم والإدارة
ترجع أهمية هذا الكتاب، وما حظي به من إقبال دولي كبير خارج الصين إلى ثلاثة عوامل رئيسية هامة. الأول : أنه يتحدث عن الدولة التي أصبحت محط أنظار العالم خلال الفترة الأخيرة، فالكتاب يسلط الضوء على النظريات الهامة والقضايا الواقعية لتنمية الصين في العصر الجديد، ويفتح نافذة للمجتمع الدولي لتعزيز معرفته وفهمه للمفهوم الصيني للتنمية وطريق التنمية وسياسات الصين الداخلية والخارجية. العامل الثاني، يتمثل في شخصية مؤلف الكتاب، وهو الرئيس شي جين بينغ، الذي لفت أنظار العالم بفضل سماته الشخصية الصادقة والودية منذ المؤتمر الثامن عشر للحزب الشيوعي الصيني، إذ تركت أقواله وأفعاله انطباعا عميقا لدى المجتمع الدولي. وبصفته أعلى قائد للصين حزبا ودولة، فقد ألقى الرئيس شي كلمات كثيرة حول حوكمة الدولة وإدارة شؤونها، طرح فيها الكثير من الأفكار والنظريات والاستنتاجات الجديدة، وأجاب عن المسائل النظرية والواقعية الهامة حول تطور الحزب والدولة في الظروف التاريخية الجديدة. وعرض بصورة مركزة مفهوم حوكمة الدولة واستراتيجية تنفيذ الحكم للجماعة القيادية الجديدة للجنة المركزية للحزب الشيوعي الصيني. وبالتالي فإن قراءة هذا الكتاب تساعد على فهم أفكار الرئيس شي حول حكم البلاد وإدارة شؤونها، بجانب التعرف على سمات وخصائص شخصيته من تواضع وتسامح وثقة بالنفس وأدب جم ورغبة في خدمة الشعب. أما العامل الثالث، فيتمثل في تنوع المفاهيم التي يحتوي عليها الكتاب، فهو يضم العديد من المفاهيم المتقدمة حول حكم البلاد وإدارة شؤونها، والتي لا تقتصر فائدتها وتأثيراتها على التنمية في الصين فقط، وإنما تمتد أيضا إلى التنمية في دول العالم الأخرى. القراءة المتفحصة لعناوين الفصول الثمانية عشر التي يضمها الكتاب بين دفتيه وما تضمنه من أفكار ومفاهيم قيمة، تجعلنا نستنتج أن ثمة ركيزتين رئيسيتين يركز عليهما الرئيس شي في سبيل تحقيق ليس فقط حلم الصين للنهضة العظيمة للأمة الصينية، وإنما أيضا تحقيق الرفاه والسعادة لدول وشعوب العالم.
Book
Causally-Informed Instance-Wise Feature Selection for Explaining Visual Classifiers
We propose a novel interpretability framework that integrates instance-wise feature selection with causal reasoning to explain decisions made by black-box image classifiers. Instead of relying on feature importance or mutual information, our method identifies input regions that exert the greatest causal influence on model predictions. Causal influence is formalized using a structural causal model and quantified via a conditional mutual information term. To optimize this objective efficiently, we employ continuous subset sampling and the matrix-based Rényi’s α-order entropy functional. The resulting explanations are compact, semantically meaningful, and causally grounded. Experiments across multiple vision datasets demonstrate that our method outperforms existing baselines in terms of predictive fidelity.
Journal Article
Plant Disease Resistance-Related Signaling Pathways: Recent Progress and Future Prospects
Plant–pathogen interactions induce a signal transmission series that stimulates the plant’s host defense system against pathogens and this, in turn, leads to disease resistance responses. Plant innate immunity mainly includes two lines of the defense system, called pathogen-associated molecular pattern-triggered immunity (PTI) and effector-triggered immunity (ETI). There is extensive signal exchange and recognition in the process of triggering the plant immune signaling network. Plant messenger signaling molecules, such as calcium ions, reactive oxygen species, and nitric oxide, and plant hormone signaling molecules, such as salicylic acid, jasmonic acid, and ethylene, play key roles in inducing plant defense responses. In addition, heterotrimeric G proteins, the mitogen-activated protein kinase cascade, and non-coding RNAs (ncRNAs) play important roles in regulating disease resistance and the defense signal transduction network. This paper summarizes the status and progress in plant disease resistance and disease resistance signal transduction pathway research in recent years; discusses the complexities of, and interactions among, defense signal pathways; and forecasts future research prospects to provide new ideas for the prevention and control of plant diseases.
Journal Article
La gouvernance de la Chine
\"As general secretary of the CPC Central Committee and president of the People's Republic of China, Xi Jinping has delivered many speeches on a broad range of issues. He has offered his thoughts, views and judgments, and answered a series of important theoretical and practical questions about the Party and the country in these changing times. His speeches embody the philosophy of the new central leadership. To respond to rising international interest and to enhance the rest of the world's understanding of the Chinese government's philosophy and its domestic and foreign policies, the State Council Information Office, the Party Literature Research Office of the CPC Central Committee and the China International Publishing Group have worked together to produce this book. The book is a compilation of Xi Jinping's major works from November 15, 2012 to June 13, 2014. It includes, speeches, talks, interviews, instructions, and correspondence for a total of 70 pieces. It also contains 45 pictures of Xi Jinping at work and in daily life with focus on the period since the 18th National Congress of the Communist Party of China in 2012\"--Publisher's note.
Integration of genome-wide association studies, metabolomics, and transcriptomics reveals phenolic acid- and flavonoid-associated genes and their regulatory elements under drought stress in rapeseed flowers
Biochemical and metabolic processes help plants tolerate the adverse effects of drought. In plants accumulating bioactive compounds, understanding the genetic control of the biosynthesis of biochemical pathways helps the discovery of candidate gene (CG)-metabolite relationships.
The metabolic profile of flowers in 119 rapeseed (
) accessions was assessed over two irrigation treatments, one a well-watered (WW) condition and the other a drought stress (DS) regime. We integrated information gained from 52,157 single-nucleotide polymorphism (SNP) markers, metabolites, and transcriptomes to identify linked SNPs and CGs responsible for the genetic control of flower phenolic compounds and regulatory elements.
In a genome-wide association study (GWAS), of the SNPs tested, 29,310 SNPs were qualified to assess the population structure and linkage disequilibrium (LD), of which several SNPs for radical scavenging activity (RSA) and total flavanol content (TFLC) were common between the two irrigation conditions and pleiotropic SNPs were found for chlorogenic and coumaric acids content. The principal component analysis (PCA) and stepwise regression showed that chlorogenic acid and epicatechin in WW and myricetin in DS conditions were the most important components for RSA. The hierarchical cluster analysis (HCA) showed that vanillic acid, myricetin, gallic acid, and catechin were closely associated in both irrigation conditions. Analysis of GWAS showed that 60 CGs were identified, of which 18 were involved in stress-induced pathways, phenylpropanoid pathway, and flavonoid modifications. Of the CGs,
,
,
,
,
, and
contributed to flavonoid biosynthetic pathways. The results of RNA sequencing (RNA-seq) revealed that the transcript levels of
,
, and
known as early flavonoid biosynthesis-related genes and
,
, and
related to the later stages were increased during drought conditions. The transcription factors (TFs)
and
related to flavonoids and phenolic acids were upregulated under drought conditions.
These findings expand our knowledge on the response mechanisms to DS, particularly regarding the regulation of key phenolic biosynthetic genes in rapeseed. Our data also provided specific linked SNPs for marker-assisted selection (MAS) programs and CGs as resources toward realizing metabolomics-associated breeding of rapeseed.
Journal Article
Research progress on the physiological response and molecular mechanism of cold response in plants
Low temperature is a critical environmental stress factor that restricts crop growth and geographical distribution, significantly impacting crop quality and yield. When plants are exposed to low temperatures, a series of changes occur in their external morphology and internal physiological and biochemical metabolism. This article comprehensively reviews the alterations and regulatory mechanisms of physiological and biochemical indices, such as membrane system stability, redox system, fatty acid content, photosynthesis, and osmoregulatory substances, in response to low-temperature stress in plants. Furthermore, we summarize recent research on signal transduction and regulatory pathways, phytohormones, epigenetic modifications, and other molecular mechanisms mediating the response to low temperatures in higher plants. In addition, we outline cultivation practices to improve plant cold resistance and highlight the cold-related genes used in molecular breeding. Last, we discuss future research directions, potential application prospects of plant cold resistance breeding, and recent significant breakthroughs in the research and application of cold resistance mechanisms.
Journal Article
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular degeneration, and glaucoma. Here, we developed a deep learning platform (DLP) capable of detecting multiple common referable fundus diseases and conditions (39 classes) by using 249,620 fundus images marked with 275,543 labels from heterogenous sources. Our DLP achieved a frequency-weighted average F1 score of 0.923, sensitivity of 0.978, specificity of 0.996 and area under the receiver operating characteristic curve (AUC) of 0.9984 for multi-label classification in the primary test dataset and reached the average level of retina specialists. External multihospital test, public data test and tele-reading application also showed high efficiency for multiple retinal diseases and conditions detection. These results indicate that our DLP can be applied for retinal fundus disease triage, especially in remote areas around the world.
Systems for automatic detection of a single disease may miss other important conditions. Here, the authors show a deep learning platform can detect 39 common retinal diseases and conditions.
Journal Article