Mykolo Romerio universitetas / Mykolas Romeris University

This is the registration for a scoping review with no prior registrations. The objective of this scoping review is to map existing evidence on the characteristics of child maltreatment pre-, during and immediately post-COVID-19 in Euro-CAN COST Action countries. The main aims of this scoping review are: 1) to identify both type and extent of available evidence and existing gaps, 2) to ascertain the need and feasibility of conducting a systematic review. The review follows the methodological framework by the Joanna Briggs Institute. It will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) extension for scoping reviews statement and the results will be disseminated will be disseminated through conference presentations and publication in a peer-reviewed journal.

The Comparable Corpus of the Russia–Ukraine War (LT-UK-US) is composed of articles from news portals in Lithuanian, British English, and American English and covers the period from January 2025 to September 2025. It contains 41,068 Lithuanian, 47,406 British English, and 53,572 American English words, amounting to a total of 142,046 words. The corpus consists of 485 files encoded in UTF-8. The data are organised into three ZIP archives: Comparable_Russia-Ukraine_War_Corpus_TXT.zip (241 files), Comparable_Russia-Ukraine_War_Corpus_VERT.zip (241 files), and Comparable_Russia-Ukraine_War_Corpus_CSV_Metadata.zip (3 files).

The corpus is comprised of 154 EU legislative documents (English documents and their translations into French and Lithuanian) related to various financial issues and enacted in the period 2013-2018. The documents were extracted from the Official Journal of the European Union available in the open EUR-Lex database. All documents were converted into plain text format and sentence-aligned. The size of the corpora is as following: EN 1 006 485 words, FR 1 181 647 words, LT 803 845 words.

The English-Lithuanian comparable corpus (DVITAS COMPARABLE) is morphologically annotated. It includes English and Lithuanian original texts on cybersecurity from the time period of 2010-2021. The corpus was compiled for the bilingual terminology extraction project together with English-Lithuanian parallel corpus. There are 1,708 files in English and 2,567 for Lithuanian. The total size of the corpus is 4m words (EN-2m; LT-2m) The corpus is composed of texts representing 4 text types: academic (EN-19%; LT-30%), administrative-informative (EN-8%; LT-11%), legal (EN-18%; LT-4%), media (EN-55%; LT-55%).

Two news portals were selected for comparable corpora building: the Lithuanian portal DELFI and the English portal The Guardian. The compiled corpora comprise 135 Lithuanian articles from DELFI portal and 135 English articles from the Guardian portal. The main criterion for article extraction from the portals was the presence of the two keywords in the articles: "vaccination" and "vaccine". The selected time period for the articles was from January 2021 to September 2021. 30 (15 Lithuanian and 15 English) articles were selected for each month of this period. The extracted articles were used to build two types of comparable corpora necessary for further analysis: full–text corpora composed of full texts of articles and extract corpora composed of titles and lead paragraphs of articles. The sizes of the full-text corpora are: the Lithuanian full-text corpus ‘Lithuanian media articles on vaccination’ contains 45,827 words, the English full-text corpus ‘English media articles on vaccination’ contains 96,759 words. The sizes of the extract corpora are: the Lithuanian extract corpus contains 4,863 words, the English extract corpus contains 3,828 words.

English-Lithuanian parallel corpus DVITAS includes original English texts on cybersecurity and their Lithuanian translations aligned on the sentence level. The corpus was compiled for the bilingual terminology extraction project together with English-Lithuanian comparable corpus. The parallel corpus includes the EU legal acts and other documents from the time period of 2006-2021. The documents have been extracted from the EUR-Lex database and other EU institutional repositories. There are 80 aligned files in TMX format in English and Lithuanian, as well as 160 raw files (80 in English, and 80 in Lithunian) in the dataset. The total size of the corpus is 1.4m words (EN-0.77m; LT-0.63m). The corpus contains 35,415 aligned segments.

English-Lithuanian parallel corpus DVITAS v2 includes original English texts on cybersecurity and their Lithuanian translations aligned on the sentence level. Version 1 of the corpus was compiled for the bilingual terminology extraction project DVITAS together with English-Lithuanian comparable corpus. The current 2nd version of the corpus features expansion of the 1st version containing additional 27 files and metadata information. The parallel corpus includes the EU legal acts and other documents from the time period of 2006-2022. The documents have been extracted from the EUR-Lex database and other EU institutional repositories. There are 107 aligned files in TMX format in English and Lithuanian, as well as 214 raw files (107 in English, and 107 in Lithuanian) within the dataset. The total size of the corpus is 1.97m words (EN-1.08m; LT-0.88m). The corpus contains 53,792 aligned segments.

English-Lithuanian Parallel Migration Corpus includes original English texts and their Lithuanian translations, aligned at the sentence level. The texts are drawn from EU legal acts and other migration-related documents published in the EUR-Lex database between 1998 and 2024. The total size of the corpus is 1,223,350 words (EN - 688,410 words; LT - 534,940 words). The corpus contains 43,345 aligned segments (sentences). Within the dataset, the following files are included: 1) EN-LT_Parallel_Migration_Corpus_TMX.zip This file is composed of 51 files in TMX (translation memory exchange) format: - 50 separate EN-LT TMX files with aligned texts - 1 combined file consolidating all 50 EN-LT TMX files 2) EN-LT_Parallel_Migration_Corpus_VERT.zip This file is composed of 102 files in VERT (vertical text) format: - 50 separate EN files with morphological annotation - 1 combined EN file consolidating all 50 EN VERT files - 50 separate LT files with morphological annotation - 1 combined LT file consolidating all 50 LT VERT files Sentence aglinment: Each block corresponds to a TMX translation unit . Morphological annotation structure: EN: wordform | tag | lempos (EN TreeTagger) LT: wordform | lempos | tag (LT MULTEXT-East) Tagset references: https://www.sketchengine.eu/english-treetagger-pipeline-2/ https://www.sketchengine.eu/lithuanian-multext-east-part-of-speech-tagset/ 3) EN-LT_Parallel_Migration_Corpus_TXT.zip This files is composed of 100 files in TXT (plain text) format: - 50 separate EN files - 50 separate LT files 4) EN-LT_Parallel_Migration_Corpus_CSV(Metadata).zip This file is composed of 2 files with metadata in CSV (comma separated values) format: - 1 EN file with metadata - 1 LT file with metadata Metadata categories: Form of document, File name (CELEX number of document), Title of document, Author of document (Institution), Year of Publication, Word count, URL. The dataset comprises a total of 255 files, all ecoded in UTF-8.

This scoping review protocol aims to address the gap in knowledge synthesis concerning the interplay between inclusive education and all-day schooling (ADS). A search conducted in EBSCOhost yielded 470 peer-reviewed, full-text articles published within the last five years on all-day schooling, and 9,649 on inclusive education. Systematic reviews and meta-analyses on inclusive education in higher or secondary education (academic journals, full text, peer-reviewed, with no time limits) revealed 58 studies, but only one focusing on all-day schooling. These findings indicate that ADS remains considerably less investigated. Nevertheless, international research emphasizes the importance of implementing ADS grounded in the philosophy of inclusive education (Fredricks et al., 2004; Li & Lerner, 2011). However, there is still a lack of data-based evidence on how inclusive education is enacted within ADS. Therefore, this scoping review seeks to synthesize the available literature on both topics.