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The networks of factor flows in rural areas are the main support for rural revitalization, which has become one of the research trends in rural geography. Taking a typical industrial town in China as an example, the study explored the operating characteristics of rural factor flow networks and the relations of multi-factor flows based on the social survey method and fine-grained flows data. Results showed that population flows, capital flows and policy flows increased significantly in rural areas. Thereinto, population flows, especially labor flows, mainly ran into the townships and industrial cluster villages, so did capital inflows and outflows, while policy flows ran around the township. The villages with dense population and capital flows formed the \"central villages\", which had exceeded the township in the two flow networks. Policy flows and capital flows played a guiding role in population flows, so did the policy flows on the capital flows. Meanwhile, the population flows and the capital flows could reinforce each other. In conclusion, a multi-center structure network with the separation of economic center and administrative center had been formed in rural areas. And there was a close interaction between these factor flows. Furthermore, the theoretical model of town-village symbiotic network was constructed.

أصدرت مؤسسة بيت الحكمة للاستثمارات الثقافية، النسخة العربية من السلسلة الموسوعية الأولى من نوعها باللغة العربية \"ثقافة وفنون الخطوط الصينية\" والمترجمة عن اللغة الصينية من إصدار دار نشر هوبي التعليمية بالصين، وتعد سلسلة \"ثقافة وفنون الخطوط الصينية\" المحتوى المعرفي الأكثر شمولا، والأول من نوعه بالعربية عن ثقافة الخط الصيني، الذي هو أحد روافد الثقافة الصينية وأحد فنون الكتابة الممتدة لخمسة آلاف عام، وتشتمل السلسلة الموسوعية على دراسات حول تاريخ الخطوط القديمة وأنواعها وفنون كتابتها، كما تضم المعارف الخاصة بأنواع الخطوط وسماتها وتاريخها، بل وبأدوات الكتابة ومراحل تطورها، وتمثل الخطوط الصينية أحد أبرز عناصر الثقافة الصينية التقليدية، بل وأحد أهم الفنون الصينية التراثية التي كانت ولا تزال سمة أساسية لثقافة الكتابة الصينية على مر العصور، والتي هي جزء لا يتجزأ من تراث البشرية.

This study analyzes and compares the structure and diversity of gut microbiota in patients with primary Sjögren’s syndrome (pSS) in Northern China to healthy individuals to identify clinical features associated with dysbiosis. We included 60 Chinese pSS patients and 50 age- and gender-matched healthy controls. DNA was extracted from stool samples and subjected to 16S ribosomal RNA gene analysis (V3-V4) for intestinal dysbiosis. In addition, patients were examined for laboratory and serological pSS features. A Spearman’s correlation analysis was performed to assess correlations between individual bacteria taxa and clinical characteristics. The alpha-diversity (Chao1 and Shannon Index) and beta-diversity (unweighted UniFrac distances) of the gut microbiota differed significantly between pSS patients and healthy controls. Further analysis showed that several gut opportunistic pathogens ( Bacteroides , Megamonas , and Veillonella ) were significantly more abundant in pSS patients and positively correlated with their clinical indicators. In contrast, some probiotic genera ( Collinsella , unidentified_ Ruminococcaceae , Romboutsia , and Dorea ) were significantly decreased in pSS patients and negatively correlated with their clinical indicators. Therefore, pSS patients in Northern China showed a dysbiotic intestinal microbiome enriched for potentially pathogenic genera that might be associated with autoimmune disease.

We describe a case of bilateral ovarian tumor-like lesions detected during pregnancy. It is important to highlight that these masses were not detected for the first time during pregnancy; the patient had already been aware of them 2 years prior, during pregnancy preparation, when an ultrasound examination revealed bilateral space-occupying ovarian lesions. These lesions did not exhibit any increase in size during regular follow-ups until pregnancy. At 17 weeks of gestation, fetal ultrasound showed significant enlargement of the bilateral ovarian lesions. The patient underwent pelvic magnetic resonance imaging, which revealed cystic masses in both the ovaries with septations and multiple nodular and flocculent projections on the walls and septations, exhibiting features resembling malignant tumors. The cystic fluid within each cyst predominantly showed slightly short T1 and long T2 signal characteristics. The final diagnosis of lesions occupying the ovarian space was endometriotic cysts with a decidual reaction associated with pregnancy, which was confirmed on postoperative pathological examination. Subsequently, at 19 weeks of gestation, the patient underwent a “laparoscopic excision of the left ovarian lesion and right ovarian lesion stripping.” The patient recovered well postoperatively and successfully delivered a baby at 39 weeks of gestation. Endometriosis with decidual reaction during pregnancy is rare and ectopic decidual tissue can easily be confused with neoplastic lesions using imaging results. In addition, clinicians must remain vigilant about the special conditions that ectopic decidual tissue may cause, such as cyst rupture, massive hemorrhage, dystocia, and even fetal death.

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.

Gene expression patterns can be used as prognostic biomarkers in various types of cancers. We aimed to identify a gene expression pattern for individual distant metastatic risk assessment in patients with locoregionally advanced nasopharyngeal carcinoma. In this multicentre, retrospective, cohort analysis, we included 937 patients with locoregionally advanced nasopharyngeal carcinoma from three Chinese hospitals: the Sun Yat-sen University Cancer Center (Guangzhou, China), the Affiliated Hospital of Guilin Medical University (Guilin, China), and the First People's Hospital of Foshan (Foshan, China). Using microarray analysis, we profiled mRNA gene expression between 24 paired locoregionally advanced nasopharyngeal carcinoma tumours from patients at Sun Yat-sen University Cancer Center with or without distant metastasis after radical treatment. Differentially expressed genes were examined using digital expression profiling in a training cohort (Guangzhou training cohort; n=410) to build a gene classifier using a penalised regression model. We validated the prognostic accuracy of this gene classifier in an internal validation cohort (Guangzhou internal validation cohort, n=204) and two external independent cohorts (Guilin cohort, n=165; Foshan cohort, n=158). The primary endpoint was distant metastasis-free survival. Secondary endpoints were disease-free survival and overall survival. We identified 137 differentially expressed genes between metastatic and non-metastatic locoregionally advanced nasopharyngeal carcinoma tissues. A distant metastasis gene signature for locoregionally advanced nasopharyngeal carcinoma (DMGN) that consisted of 13 genes was generated to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter distant metastasis-free survival (hazard ratio [HR] 4·93, 95% CI 2·99–8·16; p<0·0001), disease-free survival (HR 3·51, 2·43–5·07; p<0·0001), and overall survival (HR 3·22, 2·18–4·76; p<0·0001) than patients with low-risk scores. The prognostic accuracy of DMGN was validated in the internal and external cohorts. Furthermore, among patients with low-risk scores in the combined training and internal cohorts, concurrent chemotherapy improved distant metastasis-free survival compared with those patients who did not receive concurrent chemotherapy (HR 0·40, 95% CI 0·19–0·83; p=0·011), whereas patients with high-risk scores did not benefit from concurrent chemotherapy (HR 1·03, 0·71–1·50; p=0·876). This was also validated in the two external cohorts combined. We developed a nomogram based on the DMGN and other variables that predicted an individual's risk of distant metastasis, which was strengthened by adding Epstein–Barr virus DNA status. The DMGN is a reliable prognostic tool for distant metastasis in patients with locoregionally advanced nasopharyngeal carcinoma and might be able to predict which patients benefit from concurrent chemotherapy. It has the potential to guide treatment decisions for patients at different risk of distant metastasis. The National Natural Science Foundation of China, the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period, the Natural Science Foundation of Guang Dong Province, the National Key Research and Development Program of China, the Innovation Team Development Plan of the Ministry of Education, the Health & Medical Collaborative Innovation Project of Guangzhou City, China, and the Program of Introducing Talents of Discipline to Universities.

Traditional radiomics models mainly rely on explicitly-designed handcrafted features from medical images. This paper aimed to investigate if deep features extracted via transfer learning can generate radiomics signatures for prediction of overall survival (OS) in patients with Glioblastoma Multiforme (GBM). This study comprised a discovery data set of 75 patients and an independent validation data set of 37 patients. A total of 1403 handcrafted features and 98304 deep features were extracted from preoperative multi-modality MR images. After feature selection, a six-deep-feature signature was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression model. A radiomics nomogram was further presented by combining the signature and clinical risk factors such as age and Karnofsky Performance Score. Compared with traditional risk factors, the proposed signature achieved better performance for prediction of OS (C-index = 0.710, 95% CI: 0.588, 0.932) and significant stratification of patients into prognostically distinct groups (P < 0.001, HR = 5.128, 95% CI: 2.029, 12.960). The combined model achieved improved predictive performance (C-index = 0.739). Our study demonstrates that transfer learning-based deep features are able to generate prognostic imaging signature for OS prediction and patient stratification for GBM, indicating the potential of deep imaging feature-based biomarker in preoperative care of GBM patients.