Nanopublications LDF server

Matches in Nanopublications for { ?s ?p <http://purl.org/petapico/o/hycl#AIDA-Sentence> ?g. }

• eLTER%20data%20is%20heterogeneous%2C%20covering%20atmospheric%2C%20ecological%2C%20geological%2C%20hydrological%2C%20and%20social%20science%20datasets%2C%20making%20comprehensive%20data%20standardization%20exceptionally%20challenging. type AIDA-Sentence assertion.
• LifeWatch%20lacks%20specific%20data%20standards%20because%20it%20does%20not%20directly%20aggregate%20data%20but%20provides%20support%20for%20data%20logistics. type AIDA-Sentence assertion.
• Biodiversity%20Research%20Infrastructures%20are%20unevenly%20distributed%20individually%20across%20Europe%2C%20leading%20to%20unequal%20research%20opportunities%20for%20researchers%20in%20different%20regions. type AIDA-Sentence assertion.
• A%20unifying%20means%20of%20communication%20is%20required%20for%20European%20BioRIs%20that%20provides%20persistence%20and%20traceability%20of%20information%2C%20standardized%20layouts%20and%20terminology%2C%20and%20classification%20of%20information%20as%20public%20or%20private. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20achieves%20Technology%20Readiness%20Level%209%20through%20industrialization%20of%20its%20biodiversity%20and%20ecosystem%20research%20infrastructure. type AIDA-Sentence assertion.
• The%20LifeWatch%20ERIC%20research%20infrastructure%20consists%20of%20four%20layers%3A%20core%20services%2C%20integration%20services%2C%20analytics%20ecosystem%2C%20and%20knowledge%20conversion%20services. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20invests%20in%20disruptive%20technologies%20including%20artificial%20intelligence%2C%20machine%20learning%2C%20high-performance%20computing%2C%20cloud%20computing%2C%20edge%20computing%2C%20and%20blockchain%20technologies. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20defines%20four%20strategic%20priorities%20for%202022-2026%3A%20Organization%2C%20Infrastructure%2C%20Community%2C%20and%20Industrialization%20with%20Technology%20Transfer%20and%20Innovation. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20allocates%20an%20indicative%20budget%20of%2010.75%20million%20euros%20in%20cash%20and%2041.55%20million%20euros%20in%20kind%20for%20the%202022-2026%20implementation%20period. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20enables%20users%20to%20create%20custom%20workflows%2C%20combine%20multiple%20workflows%20to%20test%20hypotheses%20in%20parallel%2C%20and%20compare%20results. type AIDA-Sentence assertion.
• LifeWatch%20ERIC%20transforms%20from%20an%20operating%20prototype%20to%20a%20fully%20operational%20Research%20Infrastructure%20compliant%20with%20ESFRI%20Landmark%20criteria. type AIDA-Sentence assertion.
• Garfield%20was%20created%20by%20Jim%20Davis. type AIDA-Sentence assertion.
• Garfield%20was%20created%20by%20Jim%20Davis. type AIDA-Sentence assertion.
• QAOA+quantum+optimization+and+classical+exact+algorithms+identify+identical+optimal+solutions+for+non-overlapping+bifan+motifs+in+a+30-spec+ies+85-link+ecological+food+web+network. type AIDA-Sentence assertion.
• The+QOMIC+quantum+optimization+method+executes+successfully+on+Serengeti+mammal+food+web+data+using+Qiskit+1.2.4+with+QAOA+p%3D2+layers+and+COBYLA+optimizer. type AIDA-Sentence assertion.
• QAOA+quantum+simulation+with+Qiskit+requires+longer+runtime+than+classical+exact+enumeration+for+15-qubit+bifan+motif+identification+problems. type AIDA-Sentence assertion.
• The+Serengeti+mammal+predation+network+contains+629+bifan+motifs+compared+to+a+random+network+mean+of+589.3+bifans+%28p%3D0.023%2C+1000+permutations%29. type AIDA-Sentence assertion.
• Indexing+geospatial+data+to+a+DGGS+makes+vector+and+raster+data+associable+using+zone+IDs+as+join+keys. type AIDA-Sentence assertion.
• Urban%20design%20should%20prioritize%20the%20inclusion%20of%20pedestrian-friendly%20elements%2C%20such%20as%20shaded%20walkways%20and%20seating%20areas%2C%20to%20promote%20the%20active%20use%20of%20public%20spaces%20in%20order%20to%20mitigate%20the%20effects%20of%20climate%20change. type AIDA-Sentence assertion.
• Urban%20design%20should%20prioritize%20the%20inclusion%20of%20pedestrian-friendly%20elements%2C%20such%20as%20shaded%20walkways%20and%20seating%20areas%2C%20to%20promote%20the%20active%20use%20of%20public%20spaces%20in%20order%20to%20mitigate%20the%20effects%20of%20climate%20change. type AIDA-Sentence assertion.
• The%20urban%20microclimate%20of%20Avenida%20dos%20Aliados%20and%20Pra%C3%A7a%20da%20Liberdade%20exhibits%20a%20temperature%20range%20of%2015%C2%B0C%20to%2038%C2%B0C%20across%20winter%20and%20summer%20seasons. type AIDA-Sentence assertion.
• The%20urban%20microclimate%20of%20Avenida%20dos%20Aliados%20and%20Pra%C3%A7a%20da%20Liberdade%20exhibits%20a%20temperature%20range%20of%2015%C2%B0C%20to%2038%C2%B0C%20across%20winter%20and%20summer%20seasons. type AIDA-Sentence assertion.
• In%20the%20urban%20microclimate%20of%20Avenida%20dos%20Aliados%20and%20Pra%C3%A7a%20da%20Liberdade%2C%20the%20relative%20humidity%20%28RH%29%20was%20found%20to%20fluctuate%20between%2050%25%20and%2085%25. type AIDA-Sentence assertion.
• Wind%20speeds%20in%20urban%20microclimates%20can%20vary%20between%201.0%20m%2Fs%20and%202.5%20m%2Fs. type AIDA-Sentence assertion.
• Solar%20radiation%20has%20a%20significant%20impact%20on%20surface%20temperatures%2C%20with%20maximum%20values%20of%2038.0%C2%B0C%20observed%20in%20certain%20areas. type AIDA-Sentence assertion.
• Solar%20exposure%2C%20wind%20patterns%2C%20and%20surface%20temperature%20%28Tsurf%29%20are%20the%20primary%20factors%20that%20influence%20thermal%20comfort%20in%20urban%20environments. type AIDA-Sentence assertion.
• Shaded%20areas%20with%20a%20substantial%20amount%20of%20greenery%20reduce%20heat%20discomfort%20and%20are%20preferred%20by%20pedestrians%2C%20as%20shown%20by%20the%20study%20on%20Avenida%20dos%20Aliados%20and%20Pra%C3%A7a%20da%20Liberdade. type AIDA-Sentence assertion.
• Incorporating%20adaptive%20elements%2C%20such%20as%20greenery%2C%20shading%20structures%2C%20and%20ventilation%20corridors%2C%20can%20effectively%20alleviate%20discomfort%20from%20heat%20and%20improve%20thermal%20comfort%20in%20urban%20environments. type AIDA-Sentence assertion.
• Shaded%20areas%20with%20greenery%20alleviate%20discomfort%20from%20heat%2C%20making%20them%20preferred%20choices%20for%20pedestrians%2C%20and%20should%20be%20prioritized%20in%20urban%20design%20to%20promote%20active%20use%20of%20public%20spaces. type AIDA-Sentence assertion.
• BiAU-Net%20achieved%20improvements%20over%20the%20Fire_cci51%20baseline%20of%2011.56%25%20in%20Overall%20Accuracy%2C%2029.08%25%20in%20Precision%2C%207.06%25%20in%20Recall%2C%2019.90%25%20in%20F1-score%2C%2015.44%25%20in%20Balanced%20Accuracy%2C%2029.90%25%20in%20Kappa%20Coefficient%2C%20and%2028.29%25%20in%20Matthews%20Correlation%20Coefficient%20for%20wildfire%20burnt%20area%20mapping. type AIDA-Sentence assertion.
• The%20BiAU-Net%20model%20demonstrated%20good%20generalizability%20across%20five%20testing%20areas%20in%20different%20continents%20%28United%20States%2C%20Spain%2C%20Australia%2C%20Indonesia%2C%20and%20Kenya%29%20when%20trained%20on%20a%20single%20wildfire%20event%20in%20California. type AIDA-Sentence assertion.
• Bi-temporal%20input%20incorporating%20both%20pre-fire%20and%20post-fire%20Sentinel-2%20imagery%20enhanced%20model%20performance%20across%20diverse%20environmental%20areas%20compared%20to%20traditional%20single-input%20U-Net%20models. type AIDA-Sentence assertion.
• The%20combination%20of%20Dice%20Loss%20and%20Focal%20Loss%20as%20the%20loss%20function%20significantly%20improved%20model%20performance%20in%20handling%20imbalanced%20datasets%2C%20with%20BiAU-Net%20achieving%20a%20Balanced%20Accuracy%20score%20of%200.965%20compared%20to%200.930%20for%20BiU-Net%20in%20the%20Chico%20wildfire%20case. type AIDA-Sentence assertion.
• Attention%20mechanisms%20in%20the%20U-Net%20architecture%20enabled%20the%20model%20to%20focus%20on%20burnt%20areas%20and%20improve%20accuracy%20and%20efficiency%2C%20especially%20in%20detecting%20edges%20and%20small%20areas%20where%20burnt%20and%20non-burnt%20pixels%20are%20mixed%20together. type AIDA-Sentence assertion.
• The%20BiAU-Net%20model%20achieved%20the%20highest%20overall%20performance%20compared%20to%20state-of-the-art%20wildfire%20burnt%20area%20detection%20models%2C%20as%20evidenced%20by%20the%20highest%20F1-score%20and%20Matthews%20Correlation%20Coefficient%20values. type AIDA-Sentence assertion.
• BiAU-Net%20using%20Sentinel-2%20imagery%20at%2020%20m%20spatial%20resolution%20offers%20higher%20accuracy%20than%20global%20wildfire%20products%20Fire_cci51%20and%20MODIS%20MCD64A1%2C%20which%20have%20limitations%20at%20250%20m%20and%20500%20m%20resolution%20and%20often%20overlook%20small%20fires. type AIDA-Sentence assertion.
• The%20BiAU-Net%20model%20was%20trained%20using%20Sentinel-2%20MSI%20Level%202A%20product%20with%20a%20false%20color%20band%20combination%20of%20Band12%20%28SWIR%3A%202114.9-2289.9%20%CE%BCm%29%2C%20Band11%20%28SWIR%3A%201568.2-1659.2%20%CE%BCm%29%2C%20and%20Band8A%20%28Narrow%20NIR%3A%20854.2-875.2%20%CE%BCm%29%20at%2020%20m%20spatial%20resolution. type AIDA-Sentence assertion.
• For%20the%20Chico%2C%20California%20test%20area%2C%20BiAU-Net%20with%20DLoss%2BFLoss%20achieved%20an%20Overall%20Accuracy%20of%200.968%2C%20Precision%20of%200.974%2C%20Recall%20of%200.949%2C%20F1-score%20of%200.961%2C%20Balanced%20Accuracy%20of%200.965%2C%20Kappa%20Coefficient%20of%200.934%2C%20and%20Matthews%20Correlation%20Coefficient%20of%200.929. type AIDA-Sentence assertion.
• The%20model%20training%20utilized%20a%20batch%20size%20of%206%2C%20conducted%2050%20epochs%2C%20initialized%20the%20learning%20rate%20at%200.1%20with%20scheduled%20decrease%20by%20a%20factor%20of%200.5%20between%20the%2030th%20to%2050th%20epochs%2C%20and%20used%20Stochastic%20Gradient%20Descent%20optimizer. type AIDA-Sentence assertion.
• BiAU-Net%20outperformed%20traditional%20machine%20learning%20models%20including%20Support%20Vector%20Machines%20and%20Random%20Forest%2C%20which%20require%20handcrafted%20engineering%20and%20often%20perform%20well%20in%20training%20areas%20but%20poorly%20when%20transferred%20to%20different%20areas%20due%20to%20varying%20environments. type AIDA-Sentence assertion.
• The%20training%20dataset%20for%20BiAU-Net%20included%20306%20tiles%20from%20the%20Chico%20wildfire%20with%20278%20tiles%20%28approximately%2091%25%29%20used%20for%20training%20and%2028%20tiles%20%28approximately%209%25%29%20for%20validation%2C%20with%20each%20tile%20including%20256%C3%97256%20pixels. type AIDA-Sentence assertion.
• BiAU-Net%20demonstrated%20superior%20performance%20in%20detecting%20small%20burnt%20areas%20and%20boundary%20regions%20where%20burnt%20and%20non-burnt%20pixels%20are%20mixed%20together%2C%20addressing%20key%20limitations%20of%20previous%20deep%20learning%20models. type AIDA-Sentence assertion.
• The%20code%20and%20dataset%20for%20BiAU-Net%20are%20publicly%20available%20on%20GitHub%20at%20https%3A%2F%2Fgithub.com%2FTangSui122%2FBi-temporal-Wildfire-Burnt-Area-Detection.git%2C%20facilitating%20reproducibility%20and%20follow-on%20research%20efforts. type AIDA-Sentence assertion.
• Focal%20Loss%20addresses%20class%20imbalance%20by%20down-weighting%20easy-to-classify%20examples%20and%20placing%20more%20emphasis%20on%20hard-to-classify%20examples%20through%20tunable%20parameters%20%CE%B1%20%28weight%20between%20positive%20and%20negative%20samples%29%20and%20%CE%B3%20%28focusing%20parameter%20for%20adjusting%20loss%20magnitude%29. type AIDA-Sentence assertion.
• In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. type AIDA-Sentence assertion.
• Data%20augmentation%20methods%20including%20rotating%20from%2010%C2%B0%20left%20to%2010%C2%B0%20right%20with%20mirroring%2C%20reversing%20left%20and%20right%2C%20and%20zooming%20by%20a%20factor%20of%200.85%20were%20implemented%20to%20enhance%20model%20training. type AIDA-Sentence assertion.
• For%20areas%20with%20similar%20environmental%20conditions%20to%20the%20training%20area%20%28Bredbo%2C%20Australia%20and%20Tarragona%2C%20Spain%29%2C%20BiAU-Net%20achieved%20Overall%20Accuracy%20of%200.941%20and%200.939%20respectively%2C%20demonstrating%20robust%20performance%20across%20Mediterranean%20and%20temperate%20forest%20ecosystems. type AIDA-Sentence assertion.
• The%20BiAU-Net%20architecture%20incorporates%20attention%20gates%20at%20each%20up-sampling%20step%20that%20dynamically%20assess%20feature%20relevance%20to%20create%20attention%20weights%2C%20amplifying%20significant%20features%20and%20reducing%20the%20influence%20of%20unnecessary%20ones. type AIDA-Sentence assertion.
• The%20model%20processes%20pre-fire%20and%20post-fire%20satellite%20images%20through%20two%20symmetrical%20convolutions%20and%20max-pooling%20in%20the%20encoder%20phase%20to%20extract%20features%2C%20with%20four%20rounds%20of%20down-sampling%20producing%20four%20pairs%20of%20pre-%20and%20post-fire%20feature%20maps%20across%20varying%20scales. type AIDA-Sentence assertion.
• Substantial%20biases%20exist%20in%20climate%20model%20representations%20of%20extreme%20conditions%2C%20particularly%20in%20heat%20stress%20and%20fire%20hazards%2C%20which%20can%20be%20attributed%20to%20biases%20in%20individual%20drivers%20such%20as%20temperature%2C%20relative%20humidity%2C%20and%20statistical%20dependence%2C%20and%20must%20be%20detected%20and%20adjusted%20to%20improve%20climate%20impact%20simulations. type AIDA-Sentence assertion.
• The%20interaction%20between%20multiple%20drivers%20can%20introduce%20biases%20in%20climate%20model%20outputs%2C%20which%20can%20be%20substantial%20and%20affect%20the%20representation%20of%20extreme%20conditions%2C%20especially%20in%20hazards%20that%20rely%20on%20multiple%20variables. type AIDA-Sentence assertion.
• This%20is%20a%20test%20sentence. type AIDA-Sentence assertion.
• test%20sentence%20123ad. type AIDA-Sentence assertion.
• Prolonged%20and%20intense%20heat%20and%20drought%2C%20as%20well%20as%20compound%20hot%20and%20dry%20events%2C%20can%20lead%20to%20significant%20reductions%20in%20annual%20plant%20productivity%20in%20Mediterranean%20vegetation%2C%20with%20notable%20impacts%20on%20low%20tree%20cover%20areas%20and%20crops. type AIDA-Sentence assertion.
• Quantum%20computers%20can%20potentially%20improve%20the%20power%20of%20statistical%20tools%20and%20solve%20intractable%20problems%20in%20networks%2C%20enabling%20a%20deeper%20understanding%20of%20species%20interactions%2C%20more%20accurate%20predictive%20modeling%20of%20distributions%2C%20and%20optimized%20conservation%20strategies. type AIDA-Sentence assertion.
• this%20is%20a%20test%20sentence. type AIDA-Sentence assertion.
• Long%20read%20sequencing%20identified%20449%20distinct%20VSGs%20across%2020%20individual%20samples%20collected%20from%20mice%20infected%20with%20Trypanosoma%20brucei%20TREU927%20at%20days%203%2C%206%2C%2010%2C%20and%2012%20post-infection. type AIDA-Sentence assertion.
• Long%20read%20sequencing%20identified%20449%20distinct%20VSGs%20across%2020%20individual%20samples%20collected%20from%20mice%20infected%20with%20Trypanosoma%20brucei%20TREU927%20at%20days%203%2C%206%2C%2010%2C%20and%2012%20post-infection. type AIDA-Sentence assertion.
• Long%20read%20sequencing%20identified%20449%20distinct%20VSGs%20across%2020%20individual%20samples%20collected%20from%20mice%20infected%20with%20Trypanosoma%20brucei%20TREU927%20at%20days%203%2C%206%2C%2010%2C%20and%2012%20post-infection. type AIDA-Sentence assertion.
• Long%20read%20sequencing%20identified%20449%20distinct%20VSGs%20across%2020%20individual%20samples%20collected%20from%20mice%20infected%20with%20Trypanosoma%20brucei%20TREU927%20at%20days%203%2C%206%2C%2010%2C%20and%2012%20post-infection. type AIDA-Sentence assertion.
• Long%20read%20sequencing%20identified%20449%20distinct%20VSGs%20across%2020%20individual%20samples%20collected%20from%20mice%20infected%20with%20Trypanosoma%20brucei%20TREU927%20at%20days%203%2C%206%2C%2010%2C%20and%2012%20post-infection. type AIDA-Sentence assertion.
• aida type AIDA-Sentence assertion.
• Long%20read%20sequencing%20is%20reliable%20for%20resolving%20variant%20differences%20between%20VSGs%20in%20Trypanosoma%20brucei%20infections. type AIDA-Sentence assertion.
• There%20is%20significant%20expressed%20VSG%20diversity%20with%20449%20VSGs%20detected%20across%2020%20mice. type AIDA-Sentence assertion.
• The%20median%20number%20of%20VSGs%20per%20sample%20progresses%20from%2027%20at%20day%203%20post%20infection%2C%20to%2082%20at%20day%206%2C%20to%20187%20at%20day%2010%2C%20and%20reduces%20to%20132%20by%20day%2012%20post%20infection. type AIDA-Sentence assertion.
• One%20VSG%20dominates%20expression%20consistently%20across%20replicates%20at%20days%203%20and%206%20post%20infection. type AIDA-Sentence assertion.
• A%20second%20dominant%20VSG%20emerges%20across%20replicates%20by%20day%2012%20post%20infection. type AIDA-Sentence assertion.
• The%20application%20of%20ecological%20diversity%20analysis%20enabled%20characterization%20of%20hierarchical%20VSG%20expression%20in%20the%20dataset. type AIDA-Sentence assertion.
• Insertions%20were%20the%20most%20common%20PacBio-introduced%20sequencing%20errors%20at%20an%20average%20rate%20of%200.79%25%20per%20base%20pair%20across%20the%20N-terminal%20domain%20sequence. type AIDA-Sentence assertion.
• Deletions%20were%20the%20second%20most%20common%20PacBio-introduced%20sequencing%20errors%20at%20an%20average%20rate%20of%200.73%25%20per%20base%20pair. type AIDA-Sentence assertion.
• Mismatches%20had%20an%20average%20per-base%20sequencing%20error%20rate%20of%200.33%25%20across%20the%20N-terminal%20domain%20sequence. type AIDA-Sentence assertion.
• Mosaic%20VSG%20genes%20can%20be%20detected%20much%20earlier%20in%20infection%20using%20long%20read%20sequencing. type AIDA-Sentence assertion.
• At%20child%20age%2024%20months%2C%2054.3%25%20in%20the%20intervention%20group%20had%20a%20high%20fruit%20intake%20score%20compared%20with%2048.3%25%20of%20the%20control%20group. type AIDA-Sentence assertion.
• At%20child%20age%2024%20months%2C%2054.5%25%20in%20the%20intervention%20group%20had%20a%20high%20vegetable%20intake%20score%20compared%20with%2050.7%25%20in%20the%20control%20group. type AIDA-Sentence assertion.
• 65.7%25%20of%20the%20children%20in%20the%20intervention%20group%20were%20eating%20breakfast%20together%20with%20family%20%E2%89%A5%204%20times%20per%20week%20compared%20with%2057.3%25%20of%20the%20children%20in%20the%20control%20group. type AIDA-Sentence assertion.
• At%20child%20age%2024%20months%2C%20there%20was%20a%20between-group%20difference%20for%20the%20Child%20Eating%20Behavior%20Questionnaire%20subscales%20Food%20responsiveness%20and%20Emotional%20over-eating%2C%20with%20higher%20scores%20in%20the%20intervention%20group. type AIDA-Sentence assertion.
• The%20intervention-group%20children%20had%20a%20higher%20BMI-for-age%20z-score%20at%20child%20age%2024%20months. type AIDA-Sentence assertion.
• In%20the%20subgroup%20of%20mothers%20with%20lower%20socioeconomic%20status%2C%2050.0%25%20in%20the%20intervention%20group%20had%20a%20high%20fruit%20intake%20score%20compared%20to%2042.9%25%20in%20the%20control%20group. type AIDA-Sentence assertion.
• In%20the%20subgroup%20of%20mothers%20with%20lower%20socioeconomic%20status%2C%2062.5%25%20in%20the%20intervention%20group%20had%20a%20high%20vegetable%20intake%20score%20compared%20to%2047.6%25%20in%20the%20control%20group. type AIDA-Sentence assertion.
• The%20Food%20approach%20dimension%20score%20was%20a%20significant%20independent%20predictor%20for%20overweight%2Fobesity%20at%20child%20age%202%20years. type AIDA-Sentence assertion.
• Two%20recent%20duplications%20of%20aHD2%20genes%20generated%20xHD2%20proteins. type AIDA-Sentence assertion.
• Some%20mating%20alleles%20in%20Trichaptum%20are%20older%20than%20the%20Trichaptum%20genus. type AIDA-Sentence assertion.
• The%20postglacial%20history%20of%20a%20widespread%20forest%20fungus%20in%20Europe%20suggests%20migration%20out%20of%20multiple%20refugia%20followed%20by%20admixture. type AIDA-Sentence assertion.
• Large-scale%20sequencing%20of%20Trichaptum%20strains%20revealed%20extensive%20molecular%20diversity%20in%20mating%20loci%20maintained%20by%20long-term%20balancing%20selection. type AIDA-Sentence assertion.
• Annual%20response%20rates%20varied%20between%2055.1%25%20and%2065.6%25%20in%20the%20longitudinal%20study. type AIDA-Sentence assertion.
• Consistent%20participation%20was%20observed%20among%2049.2%25%20of%20the%20students. type AIDA-Sentence assertion.
• Higher%20strategic%20approach%20scores%20increased%20the%20odds%20of%20consistent%20participation%20%28adjusted%20OR%3A%201.04%2C%20p%20%3C%200.01%29. type AIDA-Sentence assertion.
• Higher%20surface%20approach%20scores%20decreased%20the%20odds%20of%20consistent%20participation%20%28adjusted%20OR%3A%200.95%2C%20p%20%3C%200.05%29. type AIDA-Sentence assertion.
• Neither%20sociodemographic%20factors%2C%20learning%20environment%20factors%20nor%20academic%20performance%20predicted%20participation%20over%20time. type AIDA-Sentence assertion.
• Three%20latent%20classes%20of%20fatigue%20trajectories%20over%2018%20months%20were%20identified%20in%20stroke%20patients. type AIDA-Sentence assertion.
• The%20three%20classes%20of%20fatigue%20trajectories%20were%20characterized%20by%20differing%20levels%20of%20fatigue%3A%20low%2C%20moderate%2C%20and%20high. type AIDA-Sentence assertion.
• The%20mean%20FSS%20score%20for%20each%20fatigue%20class%20remained%20relatively%20stable%20across%20all%20four%20time%20points. type AIDA-Sentence assertion.
• Pre-stroke%20fatigue%20was%20associated%20with%20higher%20post-stroke%20fatigue%20trajectories. type AIDA-Sentence assertion.
• Multiple%20comorbidities%20were%20associated%20with%20higher%20post-stroke%20fatigue%20trajectories. type AIDA-Sentence assertion.
• Not%20working%20was%20associated%20with%20higher%20post-stroke%20fatigue%20trajectories. type AIDA-Sentence assertion.
• In%20univariate%20analyses%2C%20age%20over%2075%2C%20pre-stroke%20fatigue%2C%20multiple%20comorbidities%2C%20current%20depression%2C%20disturbed%20sleep%2C%20and%20some%20ADL%20impairment%20were%20associated%20with%20higher%20fatigue%20trajectories. type AIDA-Sentence assertion.
• Pre-stroke%20fatigue%20was%20the%20strongest%20predictor%20of%20a%20worse%20post-stroke%20fatigue%20trajectory. type AIDA-Sentence assertion.
• Of%20patients%20reporting%20pre-stroke%20fatigue%2C%2059%25%20had%20a%20high%20fatigue%20trajectory%20post-stroke. type AIDA-Sentence assertion.
• Only%203%25%20of%20patients%20with%20pre-stroke%20fatigue%20had%20a%20low%20fatigue%20trajectory%20post-stroke. type AIDA-Sentence assertion.
• Of%20patients%20without%20pre-stroke%20fatigue%2C%2025%25%20had%20a%20high%20fatigue%20trajectory%20post-stroke. type AIDA-Sentence assertion.

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