1.2 10 1.2 1 10 mods info:srw/schema/1/mods-v3.5 xml 1Ola, IdrisIdrisOlaautVerfasserInSeum, TeresaTeresaSeumautVerfasserInCarlsson, Sigrid V.Sigrid V.CarlssonautVerfasserInHoffmeister, MichaelMichaelHoffmeister1973autVerfasserInBrenner, HermannHermannBrennerautVerfasserIntext2026April 2026engDiagrammeBackground - Quantitative fecal immunochemical test (FIT) is widely used for colorectal cancer (CRC) screening, with substantial variation in positivity thresholds across countries. This study examines how these thresholds affect FIT's diagnostic performance for detecting CRC and advanced precancerous lesions (APCL). - Methods - We analyzed data from a single round screening of 7398 men and women aged 50-79 years, enrolled between 2008 and 2020 in the German BLITZ study, who provided a stool sample for FIT prior to screening colonoscopy. Using FIT positivity thresholds from 30 countries across five continents, we estimated positivity rates, sensitivities for CRC, APCL, and any advanced neoplasia (AN), as well as specificity for no AN, with colonoscopy as the reference standard. Subgroup analyses were conducted by age and sex. - Findings - FIT positivity thresholds across the included countries ranged from 8.5 (Belgium, Flanders) to 120 μg Hb/g feces (England, Wales and Northern Ireland). This wide range went along with very wide ranges of positivity rates and diagnostic performance parameters: positivity rate, 17.6% (95% CI: 16.7-18.5) to 2.6% (95% CI: 2.3-3.0); sensitivity for CRC, 98.1% (95% CI: 90.1-100.0) to 55.6% (41.4-69.1); sensitivity for APCL, 45.5% (95% CI: 41.9-49.0) to 12.2% (95% CI: 10.0-14.7); sensitivity for any AN, 48.9% (95% CI: 45.4-52.4) to 15.0% (95% CI: 12.7-17.7); specificity for no AN, 86.3% (95% CI: 85.5-87.2) to 98.9% (95% CI: 98.7-99.2). - Interpretation - The broad range of FIT positivity thresholds across countries goes along with very different diagnostic performance parameters. While this limits comparability of results between countries, our results underscore the potential of FIT as a flexible screening tool that can be adapted to the evolving healthcare system capacities in different countries. - Funding - German Research Council, the Federal Ministry of Education and Research, and the German Cancer Aid.Idris Ola, Teresa Seum, Sigrid V. Carlsson, Michael Hoffmeister, and Hermann BrennerOnline verfügbar: 16. März 2026Gesehen am 16.06.2026ColonoscopyColorectal cancer screeningFIT thresholdsSensitivitySpecificityStool-based testAmsterdamElsevier2018Online-Ressource10352718341973102285https://doi.org/10.1016/j.eclinm.2026.103835https://www.sciencedirect.com/science/article/pii/S2589537026000829941916-06-2616-06-261973102285rda info:srw/schema/1/mods-v3.5 xml 2the Finnish stress testParviainen, SinikkaSinikkaParviainenautVerfasserInSamoiliuk, MaksymMaksymSamoiliukautVerfasserIntextHelsinkiBank of Finland, BOFIT, Bank of Finland Institute for Emerging Economies202612 June 2026monographiceng1 Online-Ressource (circa 25 Seiten)IllustrationenUkraine's EU accession is the most economically complex enlargement in recent EU history. It is unfolding amidst conditions of an active war, large-scale reconstruction needs, and rapid evolution of Ukraine's defence sector. This policy brief examines EU-Ukraine economic integration using Finland as a stress test for plausible outcomes in bilateral trade relations with Ukraine. The fact that Finland is an EU member state without geographic proximity or deep historical ties to Ukraine allows identification of structural, rather than geography-driven, complementarities present across key sectors. The analysis finds strong complementarities in digital services, energy, reconstruction, and defence-industrial cooperation. Notably, none of these complementarities are yet reflected in trade and investment flows, which remain limited and concentrated in low-risk activities. Thus, the challenge for policymakers is translating these identified complementarities into investment at scale under conditions of elevated risk, particularly for SME-led projects in the private sector.Sinikka Parviainen and Maksym SamoiliukUkraineEU–Ukraine tradeEU accessionFinlandreconstruction2026, 61799634469urn:nbn:fi-fe20260612684151973031604https://publications.bof.fi/bitstreams/590b0f73-0c89-4de7-9add-f47d68c3e6f9/downloadhttps://nbn-resolving.org/URN:NBN:fi-fe202606126841515-06-2615-06-261973031604rda info:srw/schema/1/mods-v3.5 xml 3text2026engSummer has finally arrived, and for many of us the preceding months have been long and cold. As you spend time outside with family and friends enjoying the sweet sunshine, bring this ancient Roman recipe to your next backyard barbeque. It’s a simple, no-cook recipe that is perfect for hot summer days. The recipe, "Cold […]TheWashington, D.C.Biblical Archaeology Society1975Online-Ressource3413473451972901036https://library.biblicalarchaeology.org/department/test-kitchen-roman-dill-sauce/5211-06-2611-06-261972901036rda info:srw/schema/1/mods-v3.5 xml 4Ranger, Jochen MatthiasJochen MatthiasRangerautVerfasserInMuch, Sören AlexanderSören AlexanderMuchautVerfasserInNeek, NiklasNiklasNeekautVerfasserInWolgast, AnettAnettWolgastautVerfasserInMutak, AugustinAugustinMutakautVerfasserInGaviria Soto, José LuisJosé LuisGaviria SotoautVerfasserInPohl, SteffiSteffiPohl1979autVerfasserIntext2026engDiagrammeJochen Ranger, Sören Much, Niklas Neek, Anett Wolgast, Augustin Mutak, José Luis Gaviria Soto, Steffi PohlCambridgeCambridge University Press1936Online-Ressource4878920541972890654https://doi.org/10.1017/psy.2026.1011212311-06-2611-06-261972890654rda info:srw/schema/1/mods-v3.5 xml 5an experimental test of modernization theory in Burkina FasoGlennerster, RachelRachelGlennerster1965autVerfasserInMurray, JoannaJoannaMurrayautVerfasserInPouliquen, VictorVictorPouliquenautVerfasserIntextWashington, DCCenter for Global Development2026[2026]monographiceng1 Online-Ressource (circa 57 Seiten)IllustrationenRachel Glennerster, Joanna Murray, Victor PouliquenMass media campaignradiomodern contraceptionfamily planning743 (April 2026)6692455771972820435https://www.cgdev.org/sites/default/files/mass-media-and-contraception-use-experimental-test-modernization-theory-burkina-faso.pdfhttps://www.cgdev.org/publication/mass-media-and-contraception-use-experimental-test-modernization-theory-burkina-faso10-06-2611-06-261972820435rda info:srw/schema/1/mods-v3.5 xml 6Manita, RiadhRiadhManitaautVerfasserInElommal, NajouaNajouaElommalautVerfasserInDalmas, MichelMichelDalmasautVerfasserIntext[Place of publication not identified]MIT Sloan Management Review2026[First edition].monographiceng1 online resource (6 pages)In today's consulting firms, experience and results are not enough: High-performing individuals who want to earn organizational trust and advance to higher levels need strong visibility within and outside of their organizations. The challenge for ambitious high performers is to make that visibility credible. Interviews with senior partners reveal three levers that advancing leaders must focus on: internal recognition, external reputation, and digital trust. Consider actions that individuals and companies should take to manage visibility.Riadh Manita, Najoua Elommal, and Michel DalmasOnline resource; title from title details screen (O'Reilly, viewed April 21, 2026)Sociétés de conseil ; GestionLeadership658.4/6128382333https://learning.oreilly.com/library/view/-/53863MIT67331/?ar2068eBook Safari2112oReilly eBook2118O'Reilly2119eBook O'Reilly2129E-Ressource O'Reilly Online Learning10-06-2610-06-26197281611Xrda info:srw/schema/1/mods-v3.5 xml 7Thedesign, test, optimizeVoroniuk, AntonAntonVoroniukctbMitwirkendeRPackt Publishing,ctbMitwirkendeRtext[Birmingham, United Kingdom]Packt Publishing2026[First edition].monographiceng1 online resource (1 video file (1 hr., 56 min.))sound, color.In this 1-hour course, dive into the world of prompt engineering and learn how to design and optimize prompts for various AI applications. Master the art of building reusable prompts, scaling them for complex tasks, and ensuring consistency in AI outputs while focusing on ethical practices and AI collaboration. What I will be able to do after this course Design effective prompts for diverse AI applications Optimize AI performance by understanding prompt structures Analyze and apply advanced techniques for AI content creation Build and scale reusable prompt libraries for consistent results Implement ethical practices in AI prompting and design Course Instructor(s) Anton Voroniuk, an AI enthusiast and Google Academy Trainer with 17 years of experience, has trained over 1 million students worldwide. He works with Google and Facebook as a Premier Partner Agency, specializing in AI-driven marketing strategies. Anton founded SkillsBooster Academy to empower professionals with AI knowledge. Who is it for? This course is designed for AI enthusiasts and technical professionals, such as developers and data scientists, looking to deepen their prompt engineering skills. It's also beneficial for those working with AI models for content creation, team collaboration, and business optimization.Online resource; title from title details screen (O'Reilly, viewed May 6, 2026)Intelligence artificielleartificial intelligenceInstructional filmsNonfiction filmsInternet videosFilms de formationFilms autres que de fictionVidéos sur Internet006.3128384395https://learning.oreilly.com/library/view/-/9781807784492/?ar2068eBook Safari2112oReilly eBook2118O'Reilly2119eBook O'Reilly2129E-Ressource O'Reilly Online Learning10-06-2610-06-261972813986rda info:srw/schema/1/mods-v3.5 xml 8Fedorov, Maxim SharakinMaxim SharakinFedorovautVerfasserInBansal, AkhilAkhilBansalautVerfasserInBradley, GeorgiaGeorgiaBradleyautVerfasserInChong, DanielDanielChongautVerfasserInBin Nisar, YasirYasirBin NisarautVerfasserInBarasa, EdwineEdwineBarasaautVerfasserInJuang, Yah RuYah RuJuangautVerfasserInTeerawat WiwatpanitautVerfasserInSiriyada KitbamrungautVerfasserInLui, Nga Man JulianaNga Man JulianaLuiautVerfasserInLi, XueXueLiautVerfasserInWang, YiYiWangautVerfasserIntextWashington, DCCenter for Global Development2026[2026]monographiceng1 Online-Ressource (circa 23 Seiten)IllustrationenMaxim Sharakin Fedorov, Akhil Bansal, Georgia Bradley, Daniel Chong, Yasir Bin Nisar, Edwine Barasa, Yah Ru Juang, Teerawat Wiwatpanit, Siriyada Kitbamrung, Nga Man Juliana Lui, Xue Li, and Yi Wang744 (April 2026)6692455771972802062https://www.cgdev.org/sites/default/files/cost-effectiveness-target-point-care-triage-test-neonatal-sepsis-lmics.pdfhttps://www.cgdev.org/publication/cost-effectiveness-target-point-care-triage-test-neonatal-sepsis-low-and-middle-income10-06-2611-06-261972802062rda info:srw/schema/1/mods-v3.5 xml 9Cherkashyn, OleksiiOleksiiCherkashynautVerfasserIntext2026April 2026eng1 Online-Ressource (6 Seite)Automated web testing increasingly relies on comprehensive reporting mechanisms to facilitate bug reproduction and analysis. This study focuses on enhancing test automation through screenshot and video- based execution reporting using the WebdriverIO framework. The built-in method saveScreenshot was employed for capturing screenshots at each step of the test execution, while the Video Reporter library was used to record videos for failed tests. The study demonstrates that both GUI and headless modes of the Chrome browser do not affect the quality of screenshots and videos. Captured screenshots have an average size of approximately 61.5 KB to 136.9 KB, and videos range from 18.4 KB to 71.7 KB, making them suitable for execution on low-budget or resource-limited remote servers. Furthermore, with Jenkins supporting PNG screenshots and WEBM video playback, visual analysis can be performed directly within the CI/CD interface. The results confirm that the visual quality of both screenshots and video recordings is sufficient to identify the exact point of test failure and to reproduce the corresponding bugs, providing practical guidance for improving test reporting and debugging in automated web testing environments.Oleksii CherkashynKoethen, GermanyEdition Hochschule Anhalt202619726698931972783831http://dx.doi.org/10.25673/12384824324810-06-2622-06-261972783831rda info:srw/schema/1/mods-v3.5 xml 10Ahmad, AamirAamirAhmadautVerfasserInZábó, AndrásAndrásZábóautVerfasserInNagy, MateMateNagyautVerfasserIntextStuttgartUniversität Stuttgart2026Version: 1.0monographiceng1 Online-Ressource (4 Dateien)This dataset contains the database-query splits that were used for analysing the performance of RAPID (RAPID: Real-time Animal Pattern re-Identification on edge Devices, an open-source tool for field deployment). Tests were run on 4 public reID datasets and 2 new datasets published alongside with the RAPID paper. PUBLIC DATASETS (test_benchmarks.zip): 1) datasets used: AerialCattle2017, ATRW, GiraffeZebraID, StripeSpotter, 2) 3 independent 5-fold cross-validation tests were run for these datasets, 3) final_test1, final_test2 and final_test3 stand for the 3 independent tests, 4) database_N and query_N stand (N=0, 1, ..., 4) stand for the 5-folds for the cross-validation sets. ZebraStereoID (test_ZebraStereoID.zip): 1) the same tests were run as for the public datasets, however with various frame sampling rates, 2) folders stand for these tests. JaguarID (test_JaguarID.zip): 1) above test (3 independent 5-fold cross-validation) was run using all frames, 2) additional analysis on querying separate videos were executed too (videos_as_queries folder)RAPID Test Dataset contains database-query splits, and is a subset of the following datasets: 1) JaguarID, 2) ZebraStereoID, 3) StripeSpotter, 4) AerialCattle2017, 5) ATRW, 6) GiraffeZebraIDUpdated: 2026-05-18Computer and Information ScienceEarth and Environmental SciencesEngineeringRAPIDAnimalsIndividual Identification1972576399https://doi.org/10.18419/DARUS-595807-06-2607-06-261972576399rak