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A total of 113 cases of patients with CRF who started RRT from 20 24 to 20 25 were analyzed, including There were 59 men (52%), 54 women (48%); the average age was 42.6±14.2 years, with patient…

A total of 113 cases of patients with CRF who started RRT from 20 24 to 20 25 were analyzed, including There were 59 men (52%), 54 women (48%); the average age was 42.6±14.2 years, with patients aged 40 to 60 predominating. years (64%); 76% of patients received hemodialysis, 24% - peritoneal dialysis. Over 10 years, there has been an increase the number of patients who started RRT from 7 in 2024 to 16 patients in 2025. In the structure of diseases. 

Xorijiy talabalarning ism-familiyalari turli manbalarda lotin va kirill yozuvlarida, turli transliteratsiya an’analariga ko‘ra yoziladi. Bu bir shaxsga tegishli yozuvlarni avtomatik moslas…

Xorijiy talabalarning ism-familiyalari turli manbalarda lotin va kirill yozuvlarida, turli transliteratsiya an’analariga ko‘ra yoziladi. Bu bir shaxsga tegishli yozuvlarni avtomatik moslashtirishni qiyinlashtiradi. Maqolada ism-familiyalarni yagona shaklga keltiruvchi normallashtirish qoidalari va Jaro–Winkler o‘xshashlik o‘lchoviga asoslangan moslashtirish algoritmi taklif etilgan. Sakkiz juftlikdan iborat nazorat to‘plamida normallashtirishdan keyin bir shaxsga tegishli juftliklar o‘xshashligi 0,964–1,000 oralig‘iga ko‘tarilgani, turli shaxslar esa 0,85 dan oshmagani ko‘rsatilgan.

This article analyzes the specific features of managing pedagogical teams in preschool and general secondary education organizations. Although both educational levels require effective leadership, com…

This article analyzes the specific features of managing pedagogical teams in preschool and general secondary education organizations. Although both educational levels require effective leadership, communication, motivation, professional development, and quality management, the organization of pedagogical work differs according to learners’ age, educational objectives, and institutional structure. The study examines the role of leadership, professional cooperation, teacher motivation, communication, conflict management, family engagement, and digital technologies in managing pedagogical te. 

Abstract: This dataset contains a collection of image data extracted from Xiaohongshu (Little Red Book). It is primarily designed to support research. The dataset includes screenshots of posts, user p…

Abstract: This dataset contains a collection of image data extracted from Xiaohongshu (Little Red Book). It is primarily designed to support research. The dataset includes screenshots of posts, user profiles, memes, and platform rule-related pages (such as accusations/reports). Data Privacy & Ethical Statement: To strictly comply with data privacy and research ethics, all images in this dataset have been pre-processed. A Haar Cascade-based facial recognition algorithm was applied to detect human faces, which were subsequently anonymized using Gaussian blur. Dataset Structure: The dataset consists of compressed JPG images and a structural JSON metadata file. *.jpg: Anonymized and compressed screenshot images. database.json: A metadata file that catalogs all images, providing parsed attributes based on the filenames. Data Categories (via database.json): post: Screenshots of standard posts/comments. Includes corresponding post_ids. user_profile: Screenshots of user homepages. Captures single-post users and multi-post users (with versioning). meme: Meme images used within the context of the discussions. accusation: Screenshots related to reporting or accusing specific content/users. missing_post: Records of posts that have been deleted or become invalid (comment-null). Usage: This dataset is provided for academic and non-commercial research purposes only.   摘要:本数据集包含从小红书采集的图像数据。该数据集主要用于支持学术研究。数据内容涵盖了帖子页面、用户主页、表情包以及平台规则相关页面(如举报截图)的截图。 数据隐私与伦理声明:为了严格遵守数据隐私保护和学术研究伦理,本数据集中的所有图片均已进行脱敏处理。采用基于 Haar Cascade 的人脸识别算法对图片中的所有人脸进行了检测,并统一施加了高斯模糊打码,以保护相关人员的隐私。 数据结构:该数据集由经过压缩的 JPG 图像和结构化的 JSON 元数据文件组成。 *.jpg:经过人脸打码和质量压缩的截图文件。 database.json:数据集的元数据索引文件,解析并记录了所有图片的分类与关联属性。 数据分类(详见 database.json): post:常规帖子或评论页面的截图,包含关联的 post_ids。 user_profile:用户个人主页截图,区分了单帖子用户与多帖子用户(含版本号)。 meme:讨论上下文中使用的表情包图像。 accusation:与举报、投诉相关的截图。 missing_post:已失效或被删除的帖子记录(comment-null)。 使用许可:本数据集仅供学术研究及非商业用途使用。

Rhetorix: Distance-Aware Ordinal Learning for Classical Arabic Rhetoric Official open-source release of the Rhetorix computational framework, accompanying the research paper: "Distance-Aware Ord…

Rhetorix: Distance-Aware Ordinal Learning for Classical Arabic Rhetoric Official open-source release of the Rhetorix computational framework, accompanying the research paper: "Distance-Aware Ordinal Learning for Processing-Effort Classification in Classical Arabic Rhetorical Texts" 📌 Overview Rhetorix is an end-to-end computational framework designed for predicting graded processing effort in Classical Arabic figurative discourse. It addresses the challenge of modeling ordered linguistic constructs under severe class imbalance by introducing a task-specific distance-aware optimization objective directly into transformer fine-tuning. 🚀 Key Features & Components Distance-Aware Ordinal Loss ($\mathcal{L}_{Ordinal}$): A unified PyTorch objective combining weighted Categorical Cross-Entropy ($L_{CE}$) with an expected metric distance penalty ($L_{Dist}$): $$\mathcal{L}{Ordinal} = L{CE} + \lambda L_{Dist}$$ Built-in cost-sensitive inverse class weighting to counteract severe empirical skew without altering input representations. Pretrained Transformer Pipelines: Ready-to-use fine-tuning and evaluation modules across five architectures: ARBERT (Large-scale Modern Standard Arabic) MARBERTv2 (Web-scale Dialectal Arabic) CAMeLBERT-CA (Classical Arabic / Heritage texts) AraBERTv2 (Standard Formal Arabic baseline) XLM-RoBERTa (Multilingual cross-lingual baseline) Robust & Leak-Free Validation Suite: Nested Stratified 5-Fold Cross-Validation with source-level grouping. Internal-validation checkpoint selection optimizing Quadratic Weighted Kappa (QWK). Strict partition isolation: weights and hyperparameters are computed solely from inner training data. Comprehensive Evaluation Metrics: Automated calculation of chance-corrected agreement (QWK), error magnitude (MAE), class-balanced recovery (Macro-F1), and nominal Accuracy. Error severity profiling tools distinguishing adjacent misclassifications (Severity-1) from extreme endpoint deviations (Severity-2). Non-parametric Wilcoxon signed-rank diagnostic test for paired instance-level error analysis. 📂 Dataset: RhetoriScale ($N = 965$) An expert-annotated corpus of Classical Arabic figurative expressions categorized into three ordered inferential levels: Low (0): 45 instances (4.66%) Medium (1): 764 instances (79.17%) High (2): 156 instances (16.17%) Fully pre-partitioned into leak-free cross-validation folds. Software Stack: Python 3.10+ | PyTorch 2.x | Hugging Face Transformers

Ushbu maqolada buyuk davlat arbobi va mohir sarkarda Amir Temur tavalludining 690 yilligi munosabati bilan Sohibqironning davlatchilik borasidagi qarashlari, "Temur tuzuklari" asarida ilgari surilgan …

Ushbu maqolada buyuk davlat arbobi va mohir sarkarda Amir Temur tavalludining 690 yilligi munosabati bilan Sohibqironning davlatchilik borasidagi qarashlari, "Temur tuzuklari" asarida ilgari surilgan adolat va qonun ustuvorligi tamoyillari tahlil qilinadi. Amir Temur tomonidan barpo etilgan markazlashgan davlat boshqaruvi tizimi, diplomatiya va harbiy strategiyaning o‘ziga xos jihatlarini yoritib beradi. Shuningdek, Sohibqironning ilm-fan, madaniyat va me’morchilik homiysi sifatidagi faoliyati hamda uning merosining bugungi kundagi ma’naviy-ma’rifiy ahamiyati asoslab beriladi.

This article examines issues related to improving the practice of  providing remote banking services by commercial banks of the Republic of  Uzbekistan. The study generalizes the theoretical…

This article examines issues related to improving the practice of  providing remote banking services by commercial banks of the Republic of  Uzbekistan. The study generalizes the theoretical and methodological foundations of  remote banking services and advanced foreign experience, develops a comprehensive  four-dimensional methodology (financial, operational, customer, and risk/security) for  assessing their efficiency, and conducts an empirical assessment based on the Data  Envelopment Analysis (DEA) method, correlation-regression analysis, and trend  analysis using the example of JSC “Turonbank.” Based on the findings, scientific and  practical proposals have been developed for managing internet-banking risks,  electronic document flow for import letters of credit, digital assessment of legal  entities' creditworthiness, and remote overdraft lending based on debit cards for  individuals; it is substantiated that the implementation of these proposals in practice  has led to a significant improvement in a number of banking performance indicators.