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1 e largest gold-standard annotated biomedical corpora.
2 MDSCs) to develop bioengineered vascularized corpora.
3  these were implanted to replace the excised corpora.
4  contingencies are important for large-scale corpora.
5 1.7%, as tested on the gold-standard ITI-TXM corpora.
6 ing and unsupervised pre-training over large corpora.
7 to their own systems and train models on new corpora.
8 d 5% in the internal and external validation corpora.
9 omedical entities across differently labeled corpora.
10 ic approaches and models trained on existing corpora.
11  constant, whereas the mapping varies across corpora.
12  from patterns of word co-occurrence in text corpora.
13  is efficient in extracting information from corpora.
14 lly historic documents in very large digital corpora.
15 ity and tumor genotype in two clinicogenomic corpora.
16 in with its often rather small gold standard corpora.
17 ed on patterns of word co-occurrence in text corpora.
18 rends of continuity and change in historical corpora.
19 , or in the equivalent transcription of oral corpora.
20 nt Dirichlet allocation used to analyze text corpora.
21  spectrum of languages that allow us to rank corpora.
22 veral models trained on different individual corpora.
23 traction methods requires manually annotated corpora.
24 rage of semantic types annotated in existing corpora.
25 rkup is also among the largest of comparable corpora.
26 f the medulla with stromal proliferation and corpora albicantia.
27  Juvenile hormone (JH) is synthesized by the corpora allata (CA) and controls development and reprodu
28 s from the head activate JH synthesis by the corpora allata (CA) during the first 9-12 h after adult
29 zyme was isolated from a cDNA library of the corpora allata (CA) from reproductively active Diplopter
30 uvenile hormone biosynthesis by the isolated corpora allata (CA) of adult female A. aegypti.
31        The regulation of JH synthesis by the corpora allata (CA), a pair of endocrine glands with ner
32 ctors of disease, but the minute size of the corpora allata (CA), the glands that synthesize JH, has
33 orpora allata projecting (PI-CA) neurons and corpora allata (CA), the latter being solely responsible
34 JHs) are sesquiterpenoids synthesized by the corpora allata (CA).
35 attaching themselves to the primordia of the corpora allata (CA).
36 tically ablating the JH-producing organ, the corpora allata (CA).
37 e cuticular hydrocarbon profiles showed that corpora allata ablation caused a delay in production of
38 e hormone biosynthesis in adult lepidopteran corpora allata and was subsequently shown to have cardio
39 rorgan communication mediated by a gut-brain-corpora allata axis, and insulin produced in the brain i
40                           Innervation of the corpora allata by YXFGLamide-immunoreactive processes wa
41 etamorphosis of Drosophila melanogaster, the corpora allata cells, which produce JH, were killed usin
42 CYP15A1 gene is expressed selectively in the corpora allata of D. punctata, at the time of maximal JH
43             Expressed sequence tags from the corpora allata of the cockroach Diploptera punctata yiel
44 p circadian neurons, pars intercerebralis to corpora allata projecting (PI-CA) neurons and corpora al
45 ids appears to be a metabolic pathway in the corpora allata that may play a role in the suppression o
46                  JH is produced by the adult corpora allata, and inhibition of the insulin receptor a
47 ent through mechanisms such as inhibition of corpora allata, as seen in Orthoptera and Blattaria.
48 ar organs, the crustacean homologs of insect corpora allata, produce precursors of juvenile hormone w
49  analysis of females genetically lacking the corpora allata, the glands that produce JH, showed that
50 1 was isolated as an EST in a library of the corpora allata-corpora cardiaca of the mosquito Aedes ae
51  reproduction in insects, is produced by the corpora allata.
52 urohemal endings in the corpora cardiaca and corpora allata.
53  bodies, the subesophageal ganglion, and the corpora allata.
54                                              Corpora amylacea (CA) are a frequent microscopic finding
55                                              Corpora amylacea (CA) in the human brain are granular bo
56        Accumulation of numerous 7F3-positive corpora amylacea in the memory and motor system subdivis
57           Focal cerebritis/brain abscess and corpora amylacea may also establish chronic anaerobic ni
58                 Furthermore, we propose that corpora amylacea or wasteosomes, which are protective st
59 ld extend this framework to broader document corpora and additional LLMs, including commercial models
60 hould be made by incorporating out-of-domain corpora and domain-specific lexicons, we believe that th
61 m that outperforms systems trained on single corpora and exceeds previously reported results on two e
62  package for preparing medical message board corpora and extracting patient mentions and statistics f
63 and PubMed Central) and clinical (MIMIC-III) corpora and fine-tuned for 6 different tasks across 20 b
64 work addresses this gap by introducing novel corpora and language models specifically designed for ef
65 tics method development community to develop corpora and methods to perform specific tasks (e.g., ext
66 us lack scalability for both larger document corpora and new relationship types.
67 PT is a large language model trained on text corpora and reinforced with human supervision.
68 he annotation process using two named entity corpora and show that our approach can reduce the number
69           The inclusion of standardised test corpora and test corpus generation tools in the PhEval s
70 arts of speech for each of the four language corpora, and accounts for approximately 50% of the varia
71  midface, short nasal bones, tall mandibular corpora, and long mandibular toothrows.
72 with respect to acoustic databases, language corpora, and speech technology tools, such as Automatic
73         Our method is validated with two HPO corpora, and the results show that PhenoTagger compares
74                                   Biomedical corpora annotated with event-level information represent
75                           Manually annotated corpora are critical for the training and evaluation of
76 controls dedicated to ensuring that training corpora are properly curated and composed, the sheer vol
77                The three resulting annotated corpora are shared publicly at [ ], to provide training
78                                          The corpora are submitted as lists of PubMed IDs and the abs
79  scenarios, obtaining high-quality annotated corpora are time-consuming, expertise-required, labor-in
80 cy of the system against the CRAFT and ShARe corpora as reference standards and compared it to MMTx,
81 owever, the nature of the annotated training corpora, as well as the training process itself, can lim
82 tter results on the GENIA Event and BioInfer corpora, both of which contain more varied and complex e
83 ntrol participants were reciprocally thinner corpora callosa (18.6%; P < .003 and P < .001, respectiv
84 Is show possible neurodegeneration with thin corpora callosa and decreased white matter volumes.
85 ominent features were dysmorphic and thicker corpora callosa compared with familial noncarriers and p
86                                              Corpora callosa derived from eight subjects who had sust
87       The very preterm subjects with damaged corpora callosa had significantly different activation p
88 ransfer with nine very preterm subjects with corpora callosa of normal appearance on structural MRI,
89           At 4-week cuprizone treatment, the corpora callosa of wildtype (WT) mice had robust Oil Red
90 antly more Oil Red O+ staining in the Axl-/- corpora callosa than in the WT indicating a lag in the c
91                                              Corpora callosa were measured for area, length and thick
92                                    In Axl-/- corpora callosa, 5-week post-cuprizone withdrawal, the n
93 l, indicative of axonal damage in the Axl-/- corpora callosa.
94  total, shows that learning from overlapping corpora can produce a single, corpus-independent, wide c
95 , by targeted cell ablation, that Drosophila corpora cardiaca (CC) cells of the ring gland are also e
96 lp2 secretion, disinhibited AKH secretion in corpora cardiaca and caused hyperglycaemia, a hallmark f
97 he brain and their neurohemal endings in the corpora cardiaca and corpora allata.
98 oblasts as progenitors of the neurosecretory Corpora cardiaca cells, which are homologous to the gluc
99 rdiac recurrent nerve, hypocerebral ganglion/corpora cardiaca complex, crop duct, and crop.
100                       Intrinsic cells of the corpora cardiaca contain pburs transcripts and pburs-lik
101 he dAkh gene is expressed exclusively in the corpora cardiaca from late embryos to adult stages.
102 as an EST in a library of the corpora allata-corpora cardiaca of the mosquito Aedes aegypti.
103  cells that innervate the corpus allatum and corpora cardiaca of the ring gland, an endocrine organ w
104 s of the larval and adult visual system, the corpora cardiaca, and subsets of cells in the developing
105 kinetic hormone (AKH)-producing cells of the corpora cardiaca, and we demonstrate that AKH signalling
106 ssage could not be detected in the fat body, corpora cardiaca, or brain, but trace levels of expressi
107                               Absence of the corpora cardiaca, the endocrine gland innervated by neur
108  glucagon-like adipokinetic hormone from the corpora cardiaca, which restricts energy mobilization fr
109 five Lem-MIPs in preparations of the AMe and corpora cardiaca.
110 re that employs aspiration of blood from the corpora cavernosa and irrigation with a dilute epinephri
111  stem cells have been applied exclusively to corpora cavernosa fibrosis owing to its well-established
112                      Thus, aspiration of the corpora cavernosa followed by irrigation with dilute epi
113 ion targets followed by tunica albuginea and corpora cavernosa in a distal to proximal pattern.
114                              A biopsy of the corpora cavernosa on both sides revealed a carcinoma har
115 is necessary to increase blood flow into the corpora cavernosa that leads to penile tumescence.
116 ie's disease, urethral stricture and penile (corpora cavernosa) fibrosis are localized fibrotic disor
117 l as NADPH CYP reductase were present in rat corpora cavernosa, which was confirmed by immunohistoche
118 oduct metabolized by CYP epoxygenases in rat corpora cavernosa.
119 ochemical analyses of corporotomies from the corpora cavernosa.
120 ontaining the eNOS gene (AdCMVeNOS) into the corpora cavernosum of the aged rat.
121 two publicly available benchmarks Roman Urdu corpora comprising HS-RU-20 corpus and RUHSOLD hate spee
122                               The annotation corpora contain 4,498, 579, and 252 annotated entity men
123               Our results indicate that text corpora contain recoverable and accurate imprints of our
124 idated TaggerOne with multiple gold-standard corpora containing both mention- and concept-level annot
125 iled analysis of three open access bio-event corpora containing negation information (i.e., GENIA Eve
126 oaches that are evaluated in three different corpora containing speakers suffering from PD with two m
127        Although combined use of several such corpora could potentially allow an extraction system to
128 xperiments were performed using 34 different corpora covering five different biomedical entity types,
129  of chemical reaction relationships from two corpora: curated bacteria-related abstracts from the Met
130        Results on two widely used biomedical corpora demonstrate that the proposed framework performs
131                            The bioengineered corpora demonstrated structural and functional parameter
132  ftp://ftp.ebi.ac.uk/pub/software/textmining/corpora/diseases and can serve as a benchmark to other s
133          In particular, most event-annotated corpora do not deal adequately with coreference.
134 y, but is prone to false-positives on larger corpora due to noun modifiers.
135 ere we use four large and divergent language corpora (English, Spanish, Russian and Greek) and a comp
136 n analytical tool to structure large textual corpora for data mining.
137 ltiple considerations, such as a scarcity of corpora for training machine learning models and an abse
138 e Distiller) is trained by uploading article corpora for two training categories - e.g. one positive
139 . protein and cell line) trained on standard corpora, for which performance is roughly state of the a
140 ed the SVM classifier first on gold standard corpora from GENIA and find it achieved 82% precision an
141                              Across multiple corpora from the American presidents, non-US leaders, an
142 red using the three GO sub-ontologies in the corpora (function, process and component).
143 cted with two independent, time-stamped text corpora (Google books Ngrams and the New York Times), we
144            Urethral plate elevation from the corpora has previously been reported to reduce bending,
145 cannot discover materials not present in the corpora, hindering its broader applications in exploring
146 evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, w
147  and relatedness measures computed from text corpora in three domains (Clinical Notes, PubMed Central
148 ate speech detection problem using different corpora in various languages, however, research on the U
149    An evaluation using seven event annotated corpora, including 65 event types in total, shows that l
150 bias previously discovered in large language corpora, indicating that ChatGPT can simulate known resu
151 iptive study reveals that the mapping within corpora is relatively constant, whereas the mapping vari
152 ndations were adherent in most instances for corpora lutea (88%), simple cysts (56%), and cysts sugge
153 zyme 20alpha-hydroxysteroid dehydrogenase in corpora lutea (CL) inactivated of Lgr5.
154 f ischemic necrosis were demonstrated in the corpora lutea (CLs) of treated animals.
155            C/EBP beta-deficient ovaries lack corpora lutea and fail to down-regulate expression of th
156 le infertility with abnormal ovaries lacking corpora lutea and increase in luteinizing hormone levels
157 ing washed mitochondria isolated from bovine corpora lutea and purified recombinant His-tag StAR prot
158  in wild type recipients, significantly more corpora lutea containing un-ovulated oocytes were presen
159 aphase II oocytes can be retrieved from, and corpora lutea form in, ovaries of aged Bax-/- females fo
160 a lack of follicular development and lack of corpora lutea formation, as well as lack of secretory ch
161 f preovulatory follicles and luteal cells of corpora lutea had no effect on ovarian morphology and fe
162 ning, we identified individual follicles and corpora lutea in intact ovaries.
163  increase in NUR77 mRNA was observed in mice corpora lutea just before parturition at a time when 20a
164 ncreased fertility based on ovulated egg and corpora lutea numbers.
165            Analysis of PKC delta activity in corpora lutea obtained during pregnancy by both the IC k
166 sessed the activation status of PKC delta in corpora lutea obtained when the corpus luteum is exposed
167 ithelial and granulosa cells and also in the corpora lutea of GREKO(-/-) mice.
168 munohistochemical analyses demonstrated that corpora lutea of p27(Kip1), p21(Cip1) double-null mice s
169  support development and maintain functional corpora lutea through the production of estrogen.
170 ssion was evaluated in ovarian follicles and corpora lutea utilizing immunohistochemical techniques a
171 70, inhibition of endometrial maturation and corpora lutea was observed.
172 o found to be severely subfertile, and fewer corpora lutea were found to form in response to exogenou
173                                              Corpora lutea were present in all groups.
174                                           No corpora lutea were present.
175  In the ovaries of macrophage-depleted mice, corpora lutea were profoundly abnormal, with elevated Pt
176 ed imaging of the ovary revealed cyst walls, corpora lutea, and ovarian medulla.
177           Mutant mice also failed to develop corpora lutea, as evident by the lack of luteal marker g
178 nsplants displayed normal estrous cycles and corpora lutea, despite DHT treatment, implying extraovar
179 contrast, progesterone, which is secreted by corpora lutea, increased SLA and beta(2)m in luminal epi
180 n mice on lower P:C (1:8), and the number of corpora lutea, indicative of recent ovulations, was grea
181                       In normally developing corpora lutea, macrophages were intimately juxtaposed wi
182 osis of granulosa cells, decreased number of corpora lutea, reduced ovarian size, and subfertility in
183 ibit defects in luteinization, with numerous corpora lutea, some of which contain central trapped, fu
184                                   Similar to corpora lutea, the lesions were highly vascularized, alt
185 turation of secondary ovarian follicles into corpora lutea, which express high levels of p27, was mar
186  of follicle maturation, most notably around corpora lutea, without significantly affecting follicula
187 egenerating antral follicles, and absence of corpora lutea.
188 xhibited a marked reduction in the number of corpora lutea.
189 produced fewer oocytes and also showed fewer corpora lutea.
190 ntation-promoting activity has been found in corpora lutea.
191 e, whereas they undergo differentiation into corpora lutea.
192 ary to VEGF expression in both follicles and corpora lutea.
193 tions of follicles, they ovulate and develop corpora lutea.
194 wing preovulatory follicles as well as early corpora lutea.
195 was weak in atretic follicles and regressing corpora lutea.
196 o ovulate and develop numerous inappropriate corpora lutea.
197 ulti-oocyte follicles and an accumulation of corpora lutea.
198 normal distribution of ovarian follicles and corpora lutea.
199 educed numbers of large antral follicles and corpora lutea.
200 rrested folliculogenesis and failure to form corpora lutea.
201 and atrophic reproductive tracts with absent corpora lutea.
202 her percentage of antral follicles and fewer corpora lutea; follicles progressed to the antral stage
203 r, the lack of training data (i.e. annotated corpora) makes it difficult for machine learning-based n
204  our system on each of the three open access corpora mentioned above.
205 -19 literature; specifically, we discuss the corpora, modeling resources, systems and shared tasks th
206                  We also describe the public corpora, models and shared tasks that have been introduc
207    However, the lack of adequate specialized corpora needed to train statistical models currently lim
208 rds with stable historical meanings, diverse corpora (newspapers, magazines and books) and additional
209                           Here, using parsed corpora of 37 diverse languages, we show that overall de
210            Using 28 distinct historical text corpora of abstracts published between 1995 and 2022, we
211        We use time series derived from large corpora of annotated texts dating from the 12th to 21st
212   Large language models, trained on enormous corpora of biological sequences, are state-of-the-art fo
213 echniques to effectively integrate available corpora of case-control bulk and reference scRNA-seq obs
214  machine learning prediction models to large corpora of digitized historical archives.
215 g patterns of disease progression from large corpora of health records(4,5).
216 ure of the songs of two songbird species and corpora of human music finds compelling similarities in
217          However, most methods require large corpora of manually annotated data for model training, w
218 al analyses, such as sequentiality, on large corpora of matched imagined and autobiographical stories
219 ee-floating tissue sections from the gastric corpora of mice; we assessed H pylori distribution along
220  them, using models trained on both 1) large corpora of native language text comprising Wikipedia art
221  information that can be obtained from large corpora of naturally occurring texts.
222 sed temporal topic models to transform large corpora of news articles into temporal topic trends.
223 s to extract relevant information from large corpora of publications.
224 h precision and recall on several evaluation corpora of PubMed abstracts.
225  collection and annotation of representative corpora of real-world stimuli, faces logistical challeng
226                  When extracted from massive corpora of text written by millions of individuals, this
227 ation models (FMs), are trained on extensive corpora of unlabeled data and demonstrate high performan
228  summary of rich biological information from corpora of users' interests.
229            The paragraph spaces of five text corpora, of different genres and intended audiences, in
230       The impact of domain-specific training corpora on the reconstruction performance is discussed.
231 need to either select a subset of compatible corpora or semantic types, or to merge results from seve
232  have been routinely investigated in written corpora, or in the equivalent transcription of oral corp
233 change of word frequency in natural language corpora over historical time.
234  analyze two very large, sequence-containing corpora: over 7.75 million Medline abstracts and 9000 fu
235 and 0.88 based on the BioNLP-ST and Genia-MK corpora, respectively, making considerable improvements
236 avernous tissue prove that the bioengineered corpora scaffolds repair the defects and recover penile
237 he model on large unlabeled generic language corpora, so that the model learns the distribution of th
238             PhEval and the standardised test corpora solve the issues of patient data availability an
239 ng text mining applications exist, including corpora, structured test suites, and post hoc judging.
240 at we found in two large historical-language corpora (Study 2): Early acquisition, concreteness, and
241       Vitally, and absent from many standard corpora such as books and news archives, Twitter also en
242    Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising
243                      We introduced three new corpora suggesting named-entity recognition (NER) to be
244 n algorithm that was developed to model text corpora, summarizing documents as mixtures of topics def
245 identifying meaningful categories in textual corpora that span long historic durees, where terms, con
246 rage by allowing several different annotated corpora to be used during training.
247 extraction, most of them use a common set of corpora to perform general purpose tasks (e.g., classify
248 s of the proposed approaches employing cross-corpora trials and reaching high accuracies.
249 h AUC ranging from 0.91 to 0.98, while cross-corpora trials yield accuracies between 75% and 82% with
250 ted tool for obtaining and converting all 34 corpora used in our evaluation, including fixed training
251 al websites, which substantially extends the corpora used in previous work.
252 classify sequence patterns from within large corpora using an n-gram Markov model (MM).
253                             On filtering the corpora using GO evidence codes we found that the value
254 sting that it is not an artifact of the book corpora we analyzed.
255       Next, drawing on cross-linguistic text corpora, we find that actual human languages are structu
256  availability of sufficiently large training corpora, which is a problem in the biomedical domain wit
257 hods rely on dictionaries, rules, or curated corpora, which may not always be accessible.
258 ation scheme for enriching biomedical domain corpora with causality relations.
259  propose a method for learning from multiple corpora with partial semantic annotation overlap, and im
260 he-art event extraction system from multiple corpora with partial semantic annotation overlap.
261  little research into learning from multiple corpora with partially overlapping semantic annotation s

 
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