Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
Get full text

A Semi-Supervised Attention Model for Identifying Authentic Sneakers by Yang Yang, Nengjun Zhu, Yifeng Wu, Jian Cao, Dechuan Zhan, Hui Xiong

“…Specifically, the SSA model has a self-attention structure for different images of a labeled sneaker and a novel prototypical loss is designed to exploit unlabeled data within the data structure. The model draws on the weighted average of the output feature representations, where the weights are determined by an additional shallow neural network. …”
Get full text

First results of the EuroHeart program by András Jánosi, Zoltán Járai

“…It was proposed to establish international cooperation involving national registers using a uniform nomenclature and data structure. The Board of the Hungarian Society of Cardiology joined the program in 2021, which was made possible by the Hungarian Myocardial Infarction Registry (HUMIR), which has been operating continuously since 2014. …”
Get full text

Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. This study determines the effectiveness of using JSON format, the bandwidth saved for distributing data on the Internet from Zlib data compression and Base64 encoding, and analyzes additional memory usage due to compression and the impact of data simplification through a visual approach on transport network graphs with the Douglas-Peucker algorithm. …”
Get full text

Exploring multi-level factors determining social participation of students with intellectual disabilities in inclusive physical education classes by Christoffer Klenk, Matthias Buser

“…Multi-level-modelling (MLM) was applied to analyse the data, as it enables analysing nested data structure considering variables both at individual student’s level (L1) and variables at class level (L2). …”
Get full text

Helping people with psychosis with a low-cost intervention DIALOG+: protocol for the economic evaluation in a randomised control trial in India and Pakistan by Victoria Jane Bird, Sara Evans-Lacko, Lakshmi Venkatraman, Padmavati Ramachandran, Ashar Muhammad Malik, Renata Peppl, Sana Zehra Zehra Sajun, Onaiza Qureshi, Krishna Priya, Hufsa Sarwar

“…Incremental cost, incremental effectiveness and incremental cost-effectiveness ratios will be calculated using linear regression models with a hierarchical data structure. A probabilistic sensitivity analysis will be carried out to test for the uncertainty surrounding the estimates of cost-effectiveness.Discussion This study will provide evidence of a patient-centred approach to improve the quality of community-based care for people with psychosis in India and Pakistan. …”
Get full text

Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data) by Bizunesh Fantahun Kase, Beminate Lemma Seifu, Kusse Urmale Mare, Abdu Hailu Shibeshi, Hiwot Altaye Asebe, Kebede Gemeda, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Bezawit Melak Fente, Afework Alemu Lombebo, Tsion Mulat Tebeje

“…Shared frailty survival models were used to account for the hierarchical data structure and unobserved heterogeneity, with the Weibull gamma model identified as the best fit based on Information Criteria (AIC), and Bayesian Information Criteria (BIC). …”
Get full text

Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…Furthermore, selecting the right ML model for a specific task requires careful consideration of the data structure, the complexity of the problem, and the desired outcomes. …”
Get full text

WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Data are organised using the Brain Imaging Data Structure (BIDS). In addition to raw data, we provide brain-extracted T1-weighted images, and quality reports for diffusion, T1- and T2-weighted structural data, and blood-oxygen level dependent functional tasks. …”
Get full text

Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models by Wylie BJ, Kaali S, Duttweiler L, Ae-Ngibise KA, Mujtaba M, Tawiah C, Gibson E, Calafat AM, Ospina M, Jack DJ, Agyei O, Lee AG, Roberts DJ, Boamah-Kaali EA, Factor-Litvak P, Modest AM, Hauser R, Coull BA, Asante KP

“…Extending multiple informant models to account for the complex data structure allowed us to discern effects in opposing directions by distinct pesticide classes. …”
Get full text

The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Blockchain is essentially a public ledger, where groups of transactions or events are recorded and stored in a chain-like data structure; this approach creates a fast yet secure way to transfer funds. …”
Get full text

A Method for Fast Leaderboard Calculations in Massive Online Game-Based Environments by Julian Moreno Cadavid, Hernán Darío Vanegas Madrigal

“…It is based on two particular data structures, a Self-Balanced Ordering Statistic Tree and a hash table, to perform proper leaderboard calculations in a fast and cheap way. …”
Get full text

Analysis of algorithmic problems solved in Olympiads: stands of students and experts by Jonas Blonskis, Valentina Dagienė, Kostas Plukas

“…The main attention is paid to selection, development and application of proper data structures. …”
Get full text

Analysis of data types in "Comenius Logo" by Valentina Dagienė

“…The traditional one considers three kinds of "Comenius Logo" data structures: words, images, and lists. The modern standpoint pick out three mechanisms of forming and exploring data: primitive data (to represent basic entities of the program­ming languages); means of combination (to build compound data from simple ones); means of abstraction (to name compound objects and manipulate them as units). …”
Get full text

Synthesis Characterization and Biological Investigations on Metal Complexes of 2-[(8-Hydroxy-1-quinolin-5-yl) methyl]-1H-isoindole-1, 3 (2H) dione by M. R. Solanki, G. D. Acharya, M. V. Hathi

“…Coordination of the ligand atom to the metal ion was deduced by IR and reflecting spectral data. Structures of the complexes were confirmed by magnetic studies. …”
Get full text

Bitcoin blockchain based information convert transmission by Tao ZHANG, Qianhong WU, Zongxun TANG

“…To meet efficient, safe, covert and stable transmission of confidential information, the transaction data structures, location and capacity of potential convert channels were analyzed.Then a formal security model of covert transmission in the bitcoin blockchain environment was proposed, which would not break the transaction structures, add special transaction content, can overcome shortcomings of traditional convert channels and protect the anonymity of both sender and receiver.The proposed security model opens a promising avenue of covert transmission, which is of great significance to promote the secure transmission technologies for the national special applications.…”
Get full text

The Impact of KLT Coder on the Image Distortion in Astronomy by Petr Pata

“…These results are promising and show the novel approach to the design of lossy image compression algorithms and also suitability for algorithms of image data structuring for retrieving, transfer, and distribution.…”
Get full text

Culture Shock sebagai Mediator antara Kepribadian Reformer terhadap Sojourner Adjustment by Ujam Jaenudin, Dadang Sahroni, Zulmi Ramdani

“…This study concludes that the theoretical model of the role of reformer personality on sojourner adjustment through cultural shock mediators is fit with empirical data. Structural analysis shows that cultural shock is a significant mediator variable on the influence of reformer personality on sojourner adjustment.…”
Get full text

TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data by Jae Hyun Lim, Soo Youn Lee, Ju Han Kim

“…However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. …”
Get full text

Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

“…The proposed algorithm extends the successful joint low-rank and sparse model to further exploit the underlying data structures beyond the conventional and sometimes restrictive unions of subspace models. …”
Get full text