“Life of Constantine” by Eusebius of Caesarea as “sacred history”: a typology of Moses — Constantine by Maksim Prikhodko

“…Following the Logos, Constantine performs the same pattern Moses fulfilled in his life. In the development of the typological line of Moses-Constantine, three moments of the formation of the figure of Constantine in sacred history are traced: receiving the kingdom, accepting the ministry of the priesthood, and gaining the gift of prophecy. …”
Get full text

Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. …”
Get full text

An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…Abstract The fast development of social media platforms has led to an unprecedented growth of daily short text content. …”
Get full text

An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Furthermore, fusion models such as CapsNet, EffcientNetV2, and MobileNet-V3 Large are employed for the feature extraction. The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
Get full text

Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning by Paul A. Constable, Javier O. Pinzon-Arenas, Luis Roberto Mercado Diaz, Irene O. Lee, Fernando Marmolejo-Ramos, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Marek Brabec, David H. Skuse, Dorothy A. Thompson, Hugo Posada-Quintero

Get full text

Car dependency beyond land use: Can a standardized built environment indicator predict car use? by Eva Van Eenoo, Koos Fransen, Kobe Boussauw

“… In June 2019, the government of the Flemish Region (Belgium) launched the “mobility score,” a standardized built environment indicator that informs citizens in Flanders about the walking or cycling accessibility from their dwelling to a range of basic amenities and public transport stops. The development of the mobility score was developed to be a tool to raise awareness of the environmental impact of travel. …”
Get full text

Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CapsNet model is employed for feature extraction to recognize spatial hierarchies and capture intricate patterns from complex visual data. …”
Get full text

Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
Get full text

Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The main innovations were: (1) integration of spatial pyramid dilated (SPD) operations with conventional convolution layers to construct SPD-Conv modules, which effectively mitigated feature information loss while enhancing small-target detection accuracy; (2) incorporation of selective kernel attention mechanisms to enable context-aware feature selection and adaptive feature extraction. …”
Get full text

Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…By leveraging machine learning techniques to analyze speech patterns, this research seeks to offer a non-invasive, objective, and accessible method for early detection and intervention. …”
Get full text

Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…Yet, predicting the correct sentiment difference in customer feedback is challenging due to complicated logic, sequence length, and text pattern adjustments. This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. …”
Get full text

Dichotomous intronic polyadenylation profiles reveal multifaceted gene functions in the pan-cancer transcriptome by Jiao Sun, Jin-Young Kim, Semo Jun, Meeyeon Park, Ebbing de Jong, Jae-Woong Chang, Sze Cheng, Deliang Fan, Yue Chen, Timothy J. Griffin, Jung-Hee Lee, Ho Jin You, Wei Zhang, Jeongsik Yong

“…The application of this workflow to RNA-seq data from The Cancer Genome Atlas demonstrated that this dichotomous intronic APA pattern is a consistent feature in transcriptomes across both normal tissues and various cancer types. …”
Get full text

Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. …”
Get full text

Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
Get full text

Corruption and neo-colonialism in Latin America by Nubia Nieto

“…The roots of corruption in underdeveloped countries can be traced from Colonial times from South America, Asia to Africa the pattern seems to be repeated: populations subjugated to new masters, disenfranchised indigenous people, labour and sexual exploitation, brutal punishments for those who resisted colonial power were commune features for countries that experienced colonialism. …”
Get full text

Evolutionary analysis of landscape ecological risk in Baili Rhododendron National Forest Park. by Yin Yu, Wengang Cui, Suihua Liu, Ting Yu, Yang Song

“…The overall landscape ecological risk index has witnessed a decline, indicating a positive trajectory in the development of the ecological environment.…”
Get full text

A bikeshare station area typology to forecast the station-level ridership of system expansion by Steven R. Gehrke, Timothy F. Welch

“…This study of the Washington, DC, metro region’s Capital Bikeshare (CaBi) program answers this call by performing a latent class cluster analysis to identify five bikeshare station area types based on variation in a set of land development pattern, urban design, and transportation infrastructure features. …”
Get full text

Regulation of ubiquitination in sepsis: from PAMP versus DAMP to peripheral inflammation and cell death by Yueying Li, Jiongyan Yu, Zhiwen Zeng, Weixiong Lin

“…Pathogen-associated molecular patterns (PAMP) and damage-associated molecular patterns (DAMP) induce strong immune responses and exacerbate inflammation by activating pattern recognition receptors (PRRs) in the host. …”
Get full text

Divergent Photoperiodic Responses in Hypothalamic <i>Dio3</i> Expression and Gonadal Activity Between Offspring and Paternal Brandt’s Voles by Lewen Wang, Zhengguang Li, Ying Song, Ning Li, Xiao-Hui Liu, Dawei Wang

“…The postnatal development of gonadal glands in seasonal breeders, particularly small rodent species, is influenced by photoperiodic patterns. …”
Get full text

A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

“…Abstract In-depth exploration of the effects of genes on the development, physiology, and behavior of organisms requires high-precision phenotypic analysis. …”
Get full text