Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens by Merryn V. E. Macville, Jeroen A. W. M. Van der Laak, Ernst J. M. Speel, Nir Katzir, Yuval Garini, Dirk Soenksen, George McNamara, Peter C. M. de Wilde, Antonius G. J. M. Hanselaar, Anton H.N. Hopman, Thomas Ried

Get full text

Efficacy of CTPV for Diagnostic and Therapeutic Assessment: Comparison with Endoscopy in Cirrhotic Patients with Gastroesophageal Varices by Zijin Cui, Haiqing Yang, Xiaoxu Jin, Huiqing Jiang, Wei Qi, Wenfeng Feng, Zhijie Feng

“…The presence, grade, and classification of GEVs on endoscopy and CTPV were compared (kappa test). …”
Get full text

Mental Health Services for Serious Mental Illness: Scoping Review of Randomised Controlled Trials by Pablo Roson Rodriguez, Xiao Chen, Marcelo Arancibia, Eva Madrid, Farhad Shokraneh, Clive E. Adams, Juan Víctor Ariel Franco

Get full text

Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

Get full text

Transcriptomic analysis of the root system of Platycodon grandiflorum in response to the fallen leaves of Acer truncatum by FENG Chaoqun, RUAN Kunfei, SHI Shaotong, LI Sen, CHENG Shaoying, LIU Zhonghua

Get full text

Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

Get full text

Measuring and utilizing temporal network dissimilarity by Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang, Huijuan Wang, Petter Holme, Zi-Ke Zhang

Get full text

Students Adjustment to College: Quantitative Study of Physical Education Students in 2023 by Arwin, Bayu Insanistyo, Yahya Eko Nopiyanto, Ibrahim, Ipa Sari Kardi

Get full text

A network intrusion detection method designed for few-shot scenarios by Weichen HU, Congyuan XU, Yong ZHAN, Guanghui CHEN, Siqing LIU, Zhiqiang WANG, Xiaolin WANG

“…Existing intrusion detection techniques often require numerous malicious samples for model training.However, in real-world scenarios, only a small number of intrusion traffic samples can be obtained, which belong to few-shot scenarios.To address this challenge, a network intrusion detection method designed for few-shot scenarios was proposed.The method comprised two main parts: a packet sampling module and a meta-learning module.The packet sampling module was used for filtering, segmenting, and recombining raw network data, while the meta-learning module was used for feature extraction and result classification.Experimental results based on three few-shot datasets constructed from real network traffic data sources show that the method exhibits good applicability and fast convergence and effectively reduces the occurrence of outliers.In the case of 10 training samples, the maximum achievable detection rate is 99.29%, while the accuracy rate can reach a maximum of 97.93%.These findings demonstrate a noticeable improvement of 0.12% and 0.37% respectively, in comparison to existing algorithms.…”
Get full text

Strategies for Sustainable Tourism Development in the Context of Old Parts of Isfahan, Presenting Priorities Using the Delphi Method by Amirhosein Halabian, Laleh Pooreydivand, Mehdi Abdollahzadeh, Zaynab Omrani Sardo

Get full text

Digital Sociability: Implications of the COVID-19 Pandemic among Young Adults by Gledson Martins de Jesus, Eduardo Name Risk

Get full text

The Code of Maya Kings and Queens: Encoding and Markup of Maya Hieroglyphic Writing by Martin de la Iglesia, Franziska Diehr, Uwe Sikora, Sven Gronemeyer, Maximilian Behnert-Brodhun, Christian Prager, Nikolai Grube

Get full text

Indexing of Journals and Indices of Publications by Biju Vasudevan, Manas Chatterjee, Vishal Sharma, Ravinder Sahdev

Get full text

English language students’ productive and receptive knowledge of collocations by Begagić Mirna

Get full text

Five New Species of Pezizales from Northeastern China by Zhengqing Chen, Tolgor Bau

Get full text

Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Conclusion This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. …”
Get full text

Cow Hoof Slippage Detecting Method Based on Enhanced DeepLabCut Model by NIAN Yue, ZHAO Kaixuan, JI Jiangtao

“…The accuracy of the improved network increased by 3.7% in the training set and by 9.7% in the validation set. …”
Get full text

Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…Tests on 2601 student academic records with the attributes ipk_sem1, ipk_sem2, ipk_sem3, ipk_sem4, occupation_ortu, graduated, average_ipk, income_ayah, for the graduation classification of students resulted in an accuracy value of 86.54% a value of 93.37% and a recall value of 89.27% and a test of 89.27% and a test of graduation prediction of the number of study program enthusiasts obtained an accuracy value of 78.25% and MAPE of 21.75%. …”
Get full text

Measuring the condition of Tehran Metropolitan based on Ubiquitous city indicators by Haniyeh Asadzadeh, Afshar Hatami, Farzaneh Sasanpour

“…<link href="moz-extension://e82f9c05-bf9c-4e25-87b0-684d37ab5915/skin/s3gt_tooltip_mini.css" rel="stylesheet" type="text/css" > #s3gt_translate_tooltip_mini { display: none !…”
Get full text

Data services and data plane for 6G mobile communication network by Xueqiang YAN, Guanjie CHENG, Shuiguang DENG, Jianjun WU, Lu LU, Mingyu ZHAO, Yan XI, Chao LIU, Weiyuan LI, Lei FENG, Tong ZHANG

Get full text