Institutionalized trial and error: a turn to rule-based policy experimentation in China by Yan Liu, Zhenhua Huang

“…Contrary to the popular interpretation of this change as a sign of notable reduction in decentralized policy entrepreneurship, the case of the RREZs shows that the rule-based institutionalized policy experimentation model continues much of the legacy of the traditional model and still functions as a laboratory for testing intensive policy reform experiments in China.…”
Get full text

An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

“…A total of 7,063 IVCM images (95 eyes) were included for analysis. The model was trained exclusively on normal IVCM images to capture and differentiate structural variations across four distinct corneal layers: epithelium, sub-basal nerve plexus, stroma, and endothelium. …”
Get full text

An approach of mechatronic transmission designing an ecologically friendly vehicle by Bokarev Aleksandr, Levochkin Artem, Rakhaev Sergey, Kartashov Aleksander, Gazizullin Ruslan

“…In terms of design, the fundamental engineering issue is the correct choice, interpretation and modelling of load conditions for cascading loads across all components of the power structure of the vehicle chassis. …”
Get full text

Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension by Eric Poirier, Ansta Nasandratra Nirina Avo

“…Furthermore, it advocates for evaluating meaning hypotheses using logical modalities, particularly hypostases, described as phrases (groups of words)—a unit of discourse rather than language—signifying the structure of arguments conveying the speaker's knowledge. …”
Get full text

Unveiling chromatin dynamics with virtual epigenome by Ming-Yu Lin, Yu-Cheng Lo, Jui-Hung Hung

“…EpiVerse significantly improves the accuracy of cross-cell-type Hi-C prediction, while also enhancing model interpretability by incorporating chromatin state prediction within a multitask learning framework. …”
Get full text

THE REFERENCE QUALITY AND CONTEXTUALITY OF ISLAMIC EDUCATION MATERIALS FOR THE ELEMENTARY SCHOOL by Anwar Mujahidin, Ju'subaidi Ju'subaidi

“…Not many studies have been carried out on the scientific structure of teaching materials. This study tries to examine the relationship between Islamic education teaching materials in the sub-chapter of the Al-Quran based on the authoritative Qur'anic exegesis. …”
Get full text

Data-driven approach to mid-latitude coherent scatter radar data classification by Berngardt Oleg

“…The algorithm automatically labels the data, determines the optimal number of signal classes observed by the radars, and trains a two-layer classifying neural network of an extremely simple structure. The trajectory calculations use the wave optics method and international reference models of the ionosphere and the geomagnetic field. …”
Get full text

Pandemic paradox: How the COVID-19 crisis transformed vaccine hesitancy into a two-edged sword by Esteban Ortiz-Prado, Isaac A. Suárez-Sangucho, Jorge Vasconez-Gonzalez, Pablo A. Santillan-Roldán, Melisa Villavicencio-Gomezjurado, Camila Salazar-Santoliva, Andrea Tello-De-la-Torre, Juan S. Izquierdo-Condoy

“…Drawing on international data, we highlight the association between baseline vaccine acceptance and subsequent booster uptake and interpret these trends through the lens of the Health Belief Model. …”
Get full text

Regional Heatwave Prediction Using Graph Neural Network and Weather Station Data by Peiyuan Li, Yin Yu, Daning Huang, Zhi‐Hua Wang, Ashish Sharma

“…In addition, its interpretable structure unravels the spatiotemporal patterns of regional heatwaves and helps to enrich our understanding of the general climate dynamics and the causal influences between locations. …”
Get full text

Hypernuclear cluster states of BΛ12 unveiled through neural network-driven microscopic calculation by Jiaqi Tian, Mengjiao Lyu, Zheng Cheng, Masahiro Isaka, Akinobu Doté, Takayuki Myo, Hisashi Horiuchi, Hiroki Takemoto, Niu Wan, Qing Zhao

“…Furthermore, by comparing with experimental data, we identify that many peaks (#6 and #8) can be interpreted as pΛ dominant states, which is consistent with shell-model predictions. …”
Get full text

Modlitwa poranna Jezusa (Mk 1,35) by Lesław Daniel Chrupcała

“…In the third part, a literary analysis of Mk 1,35 includes the examination of the syntactic structure of the text (1) and philological observations (2). …”
Get full text

From data to medical context: the power of categorization in healthcare by Batoul Msheik, Hamid Mcheick, Sara Hariri, Mehdi Adda, Mohamed Dbouk

“…In the rapidly evolving healthcare domain, the ability to structure and interpret contextual medical data is crucial for delivering personalized and efficient patient care. …”
Get full text

The concept of elite and democracy in the political thought of the Republic of Lithuania in the period of 1918-1940 by Saulius Šiliauskas

“…The Left-wing democratic thought interpreted elections as a method of authority selection and legitimation. …”
Get full text

Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis by Alireza Shahin-Shamsabadi, John Cappuccitti

“…This was used to handle high-dimensional and sparsely labeled dataset by breaking it down into five smaller categories using cellular composition information and then training a Random Forest model for each category separately. Using biological context for interpreting the data resulted in improved model performance and made tailored analysis possible by reducing the dimensionality and increasing signal-to-noise ratio as well as only preserving biologically relevant features in each category. …”
Get full text

Using the Remote Sensing Method to Simulate the Land Change in the Year 2030 by Burcu Degerli, Mehmet Çetin

“…It provided a reference basis for future Samsun urban to rural coastline LU planning and management and LU structure optimization.…”
Get full text

Multi-Scale Feature Mixed Attention Network for Cloud and Snow Segmentation in Remote Sensing Images by Liling Zhao, Junyu Chen, Zichen Liao, Feng Shi

“…In addition, existing segmentation models often misjudge the body of clouds and snow with similar features. …”
Get full text

In-Medium Effects in the Holographic Quark-Gluon Plasma by Felix Rust

“…We use the gauge/gravity duality to investigate various properties of strongly coupled gauge theories, which we interpret as models for the quark-gluon plasma (QGP). …”
Get full text

Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass by Jisung Geba Chang, Feng Gao, Martha C. Anderson, Richard Cirone, Haoteng Zhao

“…However, the incorporation of adaptive modeling through clustering did not yield a significant improvement in the accuracy of the random forest model likely due to its inherent capability to capture regional variations through complex decision tree structures. …”
Get full text

CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification by Li Yang, Liu Yijun, Wenhao Deng

“…Coastal zones, being highly dynamic and spatially heterogeneous, require sophisticated semantic modeling strategies that account for both spectral variability and spatial morphology. …”
Get full text

Distribution and classification of macrozoobenthos in Peter the Great Bay of Japan Sea in relation to contamination of bottom sediments by A. V. Moshchenko, T. A. Belan, B. M. Borisov

“…The classification could be used for interpretation of changes in composition and structure of macrozoobenthos in the areas subjected to anthropogenic pollution.…”
Get full text