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1 this hierarchy can often be unobservable or 'hidden'.
2 tic gene, such as head involution defective (hid).
3 n real-world phenomena might be persistently hidden.
4 5 queries, even when SNPs with MAF <0.05 are hidden.
5  Jupiter's satellite Europa almost certainly hides a global saltwater ocean beneath its icy surface.
6 ications for uncovering the genetic basis of hidden additive genetic effects and epistatic interactio
7 n with enhanced visual range, can reveal and hide agents as a function of their movement and create a
8 eys performing a task described by different hidden and explicit variables.
9    Essential features of the world are often hidden and must be inferred by constructing internal mod
10 ated observations, but these imputations are hidden and therefore sometimes unrecognized by applied h
11 s for transcription factors (TFs) creating a hidden and unexplored layer of gene regulation.
12  KLH and rTTHC; the H. influenzae protein D (HiD); and the cross-reactive material from diphtheria to
13 lexities in the membrane associated with the hidden architecture of multiple molecular components, in
14             These findings reveal previously hidden aspects of magnetism in Sm-Co magnets and, by ide
15 e have addressed this problem and found that hidden assay interferences can be unveiled by the graphi
16 d by raw contact frequencies, thus revealing hidden associations between global spatial positioning a
17 d the majority of subjects not vocalising or hiding at all.
18 ly, with aversive odors triggering otherwise hidden aversions to particular prey colors.
19  sensorimotor conflicts illuminate otherwise-hidden balance impairments, which can be used to increas
20 cquisition of shape and position for objects hidden behind a thick diffuser (~6 transport mean free p
21  existence of a single-chain magnet behavior hidden below the canted antiferromagnetism (T(N) = 5.8 K
22                                  Answers are hidden beneath their complex and evolving exteriors.
23 fe and death of mummified animals can remain hidden beneath their wrappings.
24 on and interactions in human ARSs, revealing hidden biological functions beyond their catalytic roles
25  analysis, limiting our ability to tease out hidden biological information.
26 ioMethyl, we can successfully identify those hidden biological pathways in DNA methylation data when
27                                      Finding hidden bodies, believed to have been murdered and buried
28 al approach to determine the presence of the hidden break in 28S rRNAs using mapping of RNA-Seq data.
29 d translation, perturbing the formation of a hidden break in the 23S rRNA and causing abnormal accumu
30                          This work reveals a hidden but functional pattern of oxygen octahedral rotat
31 phorylation site on RsbR (T209) is partially hidden by an RsbR flexible loop, whose "open" or "closed
32 tion where the information can be reversibly hidden by applying an electric field and restored by app
33 e two carbasugars reveal mechanistic details hidden by conformational changes that the Michaelis comp
34  outcomes, and (4) reveal indirect feedbacks hidden by current target systems.
35 is and can discover gene expression patterns hidden by noise.
36 ll cycle and environmental responses that is hidden by population-level analysis of gene expression.
37 s filters for uncovering local-scale signals hidden by regional subsidence as detected by interferome
38 cause this single-catalyst-level behavior is hidden by the bulk catalytic behavior.
39                     Illustrating imputations hidden by the KM estimator helps to clarify these assump
40                                            A hidden carbon cycle exists inside Earth.
41 e due to "transcriptional squelching", while hid causes lethality by induction of apoptosis.
42 tremendous promise in reproducibly resolving hidden cell populations in complex datasets.
43      This technique allows the decryption of hidden chemical information associated with archaeologic
44                        Our findings reveal a hidden complexity of interactions between a single bacte
45 rotein folding and unfolding and determining hidden conformational changes invisible to other methods
46 ata, including one miscoded variable and one hidden confounder.
47 tion bring to light the dimensionality, as a hidden constraint on carrier dynamics, and identify the
48 -function approach, we discovered previously hidden contributions of YpkA and YopJ to inhibition and
49  artificial selection for yield may entail a hidden cost: the disruption of interactions between plan
50 rea as a radical scavenger, the spin-coupled hidden Cu(II) was observed by EPR spectroscopy.
51 sations (d = 0.40), blinking (d = 0.37), and hiding (d = 0.37) were increased during fireworks, but t
52 her host-parasite systems to help reveal the hidden death toll of pathogens on wildlife hosts.
53 tal caries, allowing convenient screening of hidden dental lesion sites that are oftentimes omitted b
54  canonical correlation analysis captured two hidden dimensions of brain-behavior relationships: one r
55 onical correlation analysis, for identifying hidden dimensions of cross-modality relationships.
56 of HIV testing in the past two decades might hide discrepancies across socioeconomic groups.
57 tionships in terms of shared miRNAs revealed hidden disease subtyping comparable to that of previous
58 elings, rather than feel ashamed of them and hiding disgust away as a silent part of care.
59  genetic studies have revealed an unforeseen hidden diversity of cryptic species among microscopic ma
60    It has the potential to reveal previously hidden diversity of microscopic life largely due to the
61 we report herein a periodically ordered nick-hidden DNA nanowire (NW) with high serum stability and a
62                       These costs may remain hidden during the reproductive period of life due to the
63 ions, how rapidly can quantum information be hidden during time evolution?
64 or parameter inference and prediction of the hidden dynamics has been one of the core subjects in sys
65  increasingly being used in science to infer hidden dynamics of natural systems from noisy observatio
66   Similar to how wildfires can reignite from hidden embers not extinguished from an initial round of
67 nts to provide evidence for the existence of hidden entanglement between spin and momentum in the ant
68 r and older, rests on higher topography, and hides entire mountain ranges and ancient lakes.
69            In this paper, we uncover another hidden facet of the band topology of bismuth by showing
70 er samples were observed over time to reveal hidden factors accounting for the structure of the data.
71 r network characteristics even when they are hidden factors in transcription and mutation profiles.
72                    These findings reveal the hidden factors restricting FDHs capability which should
73 er, rapid environmental changes can identify hidden fitness trade-offs that turn adaptation into mala
74      We addressed this problem by developing hidden fluid mechanics (HFM), a physics-informed deep-le
75 effects of disturbance on diversity remained hidden for 15 years, at which point diversity began to i
76 tems and that disturbance effects may remain hidden for many years.
77                            Here, we reveal a hidden form of inhibitory synaptic plasticity that preve
78 y of non-random vacancy arrangements that is hidden from conventional crystallographic powder analysi
79 ell as in ecological contexts that have been hidden from humans, making the unwatchable seeable.
80            All termini of the components are hidden from nuclease attack, whereas the target-binding
81             Further, when a moving target is hidden from view by an occluder during a portion of its
82                  Camouflage helps animals to hide from predators and is therefore key to survival.
83   However, isolated bony elements may reveal hidden functional diversity, providing a more comprehens
84 eneration barley pan-genome makes previously hidden genetic variation accessible to genetic studies a
85                              We explored the hidden genomic evolution within this genus by performing
86 on (ICMS) encoding egocentric bearing to the hidden goal location.
87 e, we reveal the physics underlying one such hidden growth guidance mechanism through a specific exam
88 cells in a highly dynamic state that exposes hidden HA head domain features.
89 design of next-generation clinical tests for hidden hearing disorders.
90                                              Hidden hearing loss manifests as speech perception diffi
91 ch in the auditory midbrain of gerbils with "hidden hearing loss" through noise exposure that increas
92 o cause hearing problems in noise, known as "hidden hearing loss," but existing studies are controver
93 use hearing difficulties in noise, known as "hidden hearing loss," but support for this hypothesis is
94 threshold shifts, synaptopathy and permanent hidden hearing loss.
95 yesian inference to discover and exploit the hidden hierarchical structure of the environment.
96                              Malnutrition or hidden hunger due to micronutrient deficiencies affects
97 ife, providing critical data about otherwise hidden impacts of human-caused environmental change.
98                                  This killer hidden in a social supergene shows that large nonrecombi
99 analyzer is tested also with real explosives hidden in cargo pallets achieving successful detection o
100           The utilization of the information hidden in isomiRs enables MDEHT to increase the power of
101 st that the Abeta-binding site of TTR may be hidden in its tetrameric form.
102 le of how protein-based epigenetic switches, hidden in plain sight, can establish a transgenerational
103 vel formulation to prevent 'forced altruism' hidden in previous static algorithms while allowing for
104 ng faces, objects, and a subthreshold motion hidden in the background.
105 h of previously untapped enzymatic resources hidden in the bee bacteriophage community.
106 ber of disease-associated variants are still hidden in the biomedical literature.
107 ponse revealed underlying processes that are hidden in the conventional electrochemical current measu
108 tools are required to unveil the information hidden in the data.
109 as a phase-conjugate mirror--a fact which is hidden in the extensively studied case of the boundary-d
110 ably broader taxonomic diversity, most of it hidden in the fossil record.
111 mental variables, whose features are usually hidden in the high-dimensional space.
112  of one another, unleashing genetic variance hidden in the linkage disequilibrium that accumulates th
113 are large fluctuations enclosing information hidden in the noise which is beyond the dynamic variatio
114            In nature, such symmetries remain hidden in the space of internal degrees of freedom of su
115 mphasizing the importance of rescuing indels hidden in the unmapped reads in cancer and disease studi
116 ften widely scattered across the internet or hidden in their home institutions, with no systematic wa
117 iversal cure for HIV-1 is that the virus can hide in the genome of infected cells in the form of late
118                                    The virus hides in the genomes of long-lived cells, such as restin
119  cavitation to cause physical damage on prey hiding in narrow refuges, therefore facilitating capture
120 cule level provides access to this otherwise hidden information.
121 propriate computational methods, information hidden inside the isotope distribution is often omitted
122  will enable scientists to unlock previously hidden insights from acoustic data and offers promise as
123                                         Such hidden instabilities may be important to other spin-pola
124 ween solvent-accessible protein surfaces and hidden interface regions.
125 rithm that utilizes global inhibition in the hidden layer and is capable of learning early feature de
126                           Here, we uncover a hidden layer of Microprocessor regulation via studies of
127 opmental history of naive T cells creates a 'hidden layer' of diversity that persists into adulthood.
128 ethod relying on feature extraction from the hidden layers of a ConvNet, capable of cellular morpholo
129                                              Hidden layers of DQN exhibited a striking resemblance to
130 ), which employs a neural network with three hidden layers, trains on datasets with predefined cell t
131 ve spacer between (KY) repeats can mimic the hidden length in the Mfp and act as an effective strateg
132 mollusks, and deciduous forest), and recover hidden linearity embedded in universal 'scaling laws' of
133 ity declines in undisturbed forest represent hidden losses, possibly driven by climate change, that m
134 ted as an observed version of the unobserved hidden Markov chain that generates one of the two intera
135 behavior is well-described by a Hierarchical Hidden Markov Model (HHMM).
136                                 We develop a Hidden Markov Model (HMM) framework for estimating the a
137 artment predictions are superior to those of hidden Markov model (HMM) sub-compartment predictions.
138 Nase-seq data and PWMs within a multivariate hidden Markov model (HMM) to detect footprint-like regio
139                   We then used a three-state hidden Markov model (HMM) to detect musth behaviour in a
140 to active fishing nets within a multivariate hidden Markov model (HMM) to quantify changes in movemen
141   Apollo (i) models an assembly as a profile hidden Markov model (pHMM), (ii) uses read-to-assembly a
142 CR sequences that is based on a phylogenetic hidden Markov model (phylo-HMM).
143 ngitudinal trajectories were modelled with a Hidden Markov Model across multimorbidity patterns.
144 d metagenome databases through complementary hidden Markov model algorithms.
145     It combines a local Bayesian model and a Hidden Markov Model at the genome-wide level and can wor
146      We demonstrated that clustering using a hidden Markov model can reduce a complex set of physiolo
147                                          The Hidden Markov Model is useful for modelling transitions
148                          First, by fitting a hidden Markov model of EMT with experimental data, we pr
149 ved gene discovery method based on iterative hidden Markov model searching and phylogenetic inference
150 erived from the convolutional neural network-hidden Markov model segmentation agreed with clinical es
151                            We also develop a Hidden Markov Model that allows visualization of distinc
152 e repeatability of foraging trips and used a hidden Markov model to identify locations of foraging si
153                We develop a Continuous State Hidden Markov model to identify the timing and type of s
154          Dynamic analysis suggested that the hidden Markov model was stable over short periods of tim
155                                 The proposed hidden Markov model was trained and applied on a large d
156                   Our approach is built on a hidden Markov model where the underlying process is a tw
157                   Our approach is based on a hidden Markov model where the underlying process is a Wr
158 tion by Genetic Algorithm (GOOGA), couples a Hidden Markov Model with a Genetic Algorithm to analyze
159     We accounted for their behaviour using a Hidden Markov Model, in which recent observations are in
160  the localization of repeat boundaries and a hidden Markov model-based repeat counting mechanism.
161  positives than the conventional approach of hidden Markov modeling (HMM) followed by hard thresholdi
162              A data-driven approach based on Hidden Markov modeling allowed us to detect event bounda
163 nctional brain dynamics were disclosed using hidden Markov modeling of power envelope activity.
164                                        Using Hidden Markov modeling of two acoustic and four movement
165                                              Hidden Markov models (HMMs) are powerful tools for model
166  used to describe many ecological phenomena, hidden Markov models (HMMs) can facilitate inferences ab
167                                       We use hidden Markov models (HMMs) fitted in a Bayesian framewo
168                                              Hidden Markov models (HMMs), especially those with a Poi
169 ur predictions using a set of virus-specific Hidden Markov Models and demonstrated that it improves o
170                                              Hidden Markov models are used to classify sequences by d
171                   This tool combines profile hidden Markov models of each smORF family and deep learn
172            We developed the Continuous-State Hidden Markov Models TF (CSHMM-TF) method which integrat
173 Rs, the first application of self-supervised hidden Markov models to discovering microsatellites.
174                                Here, we used hidden Markov models to test how wild dog movements were
175                                              Hidden Markov models were used to characterize behaviour
176 l and adaptable bioinformatics tool based on hidden Markov models.
177  response modeling; event segmentation using hidden Markov models; and real-time fMRI.
178 on of reconstructed structures, and discover hidden molecular heterogeneities.
179 s with advanced cancer, while suffering from hidden morbidity and unmet needs.
180 f the faces was significantly altered by the hidden motion signal.
181 ferent physical systems, namely, a partially hidden network and a molecular motor.
182 s of ongoing experience can be inferred from hidden neurocognitive architecture and demonstrate that
183 se, thus highlighting the importance of this hidden niche during natural infections.
184 pply a disjunctive inference to identify the hidden object and use this logical conclusion to assess
185  surface ridges appeared to be caused by the hidden object and which were due to the drapery.
186 nts watch reaching actions directed toward a hidden object whose identity is ambiguous between two al
187                          Thus, inhibition of hidden oncogenic signaling pathways in DIPG such as Tbet
188 very, new MCR-based disconnections and often hidden opportunities.
189 many facets of intracellular dynamics remain hidden, or can be measured only indirectly.
190 estions for additional experiments to induce hidden order and/or superconductivity in U compounds wit
191 ification and theoretical understanding of a hidden order are difficult.
192 of orbital degrees of freedom needed for the hidden order in [Formula: see text] to occur, as well as
193            Here, we show that EZH2 harbors a hidden, partially disordered transactivation domain (TAD
194 an conventional methods through detection of hidden patterns within large data sets.
195                   We also expose and study a hidden performance bias that effected previous classifie
196  the target locations with tokens during the hiding period.
197 e topological surface state is reached and a hidden phase at the zeroth Landau level is uncovered.
198                                          The hidden phase boundaries that emerge demarcate vacancy-ne
199                                             "Hidden phases" are metastable collective states of matte
200 ly from their sexual orientation represent a hidden population and are absent from sexual health camp
201  using materials property charts uncover the hidden potential and advantages of dynamic crystals, whi
202 homology search by developing what we call a hidden Potts model (HPM) that merges a Potts emission pr
203 l differences, thereby revealing an a priori hidden, precise temporal structure of population respons
204 icroaveraged F1 score [F1], 93.6%) and Emory HIDE (precision, 96.6%; recall, 88.2%; F1, 92.2%)-but no
205 reflector to uncover previously acoustically hidden prey.
206                                      Because HIDE probes are small, cell-permeant molecules, they can
207 sing high-density environmentally sensitive (HIDE) probes.
208                                            A hidden profile exists when group members individually ha
209  when information is distributed to create a hidden profile.
210 that inhibit and facilitate the discovery of hidden profiles.
211 of the collective choice research focuses on hidden profiles.
212                                         This hidden provirus is protected from antiviral drugs until
213 hrough these advances, we resolve previously hidden rapid dynamics, including multiple parallel proce
214 e RBD, furin preactivation of the spike, and hidden RBD in the spike potentially allow SARS-CoV-2 to
215 pired variant of replay in which internal or hidden representations are replayed that are generated b
216 HDACi), which have the potential of exposing hidden reservoirs of HIV-1 to elimination by the immune
217 elationship between visual landmark cues and hidden reward locations.
218                 Here, we report a previously hidden role of land use in driving the IAV of S(net) by
219 ents demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a
220 lectron microscopy to identify a cryptic, or hidden, Se cycle involving the reoxidation of biogenic v
221  ~6.7% of Tor network users connect to Onion/Hidden Services that are disproportionately used for ill
222 tions, the proportion of often illicit Onion/Hidden Services use is more prevalent (~7.8%) in "free"
223 vices, we compile the Bernstein-Vazirani and Hidden Shift algorithms into our native gates and execut
224 ed to gene expression data extract latent or hidden signals representing technical and biological sou
225  Emory Health Information DE-identification (HIDE) software, and Neuro named-entity recognition (Neur
226 ust 5 individuals, it is possible for one to hide some of her relationships in a massive, real-life t
227 ace for the identification and annotation of hidden sources of variation in scRNA-seq data.
228 timulated Raman spectroscopies to reveal two hidden species of an engineered ancestral GFP-like prote
229 pth-resolved experiments are able to reveal "hidden" spectral features, connected to semiconducting,
230 en cycling between a closed, farnesyl moiety hidden state and an opened, farnesyl moiety exposed stat
231                              We show how the hidden state framework can resolve a number of puzzles a
232 guities by formalizing remapping in terms of hidden state inference.
233                                   Often, the hidden state is the Cartesian product of multiple proces
234 ent, but rather subjective beliefs about the hidden state of the environment.
235 nal inference such as global state decoding, hidden state predictions, one-out conditional distributi
236                                  Each of the hidden state represents a unique combination of RT profi
237                                             'Hidden state' exploration motivates agents to sample una
238  a distribution whose parameters depend on a hidden state, and the hidden states evolve along the gen
239 ategy consistent with optimal inference of a hidden state.
240 iguous observations to accurately infer the (hidden) state of the world.
241  "space-time" tradeoff between the number of hidden states and the number of hidden timesteps needed
242 ell-cycle and asexual development, revealing hidden states and transcriptional factors associated wit
243 include complex trait interactions alongside hidden states enhances our understanding of the macroevo
244 parameters depend on a hidden state, and the hidden states evolve along the genome as a Markov chain.
245 lations, estimating the model parameters and hidden states from data, and an optimal control strategy
246                                        These hidden states have a predictable relationship with P(Doz
247 ion) of the mapping between observations and hidden states in a state-dependent or context-sensitive
248 ein stability and occurrence of pathological hidden states in crystals parallel their solution counte
249 emonstrate that the dynamics of HVC include 'hidden states' that are not reflected in ongoing behavio
250 y but can be maintained in 'activity-silent' hidden states, such as synaptic efficacies endowed with
251 t observations, which inform (task-relevant) hidden states.
252 has been hypothesized that individually-rare hidden structural variants (SVs) could account for a sig
253 complex ciliates and mine these data for the hidden structure, patterns, and motifs that are responsi
254 cientists who generate information about the hidden structures within "big data" assets, and medical
255 n methodologies facilitate the discovery of "hidden" structures within "big healthcare data" to help
256  U.S. medical providers charge incorporate a hidden surcharge to cover their costly administrative bu
257 ic time-reversal invariance is replaced by a hidden symmetry emerging at the self-dual point.
258                         Strategies rooted in hidden symmetry recognition, C-H functionalization, and
259 losures which lack any type of (geometric or hidden) symmetry, such as complex networks, buildings, o
260                         We conclude that the hidden talents approach is promising, but there is much
261                                          The hidden talents program sets out to document these abilit
262 research shows that people may also develop 'hidden talents', that is, mental abilities that are enha
263 dren were required to recall the location of hidden targets.
264 egulating the pro-apoptotic genes reaper and hid The apoptosis induced by Reaper and Hid was probably
265 not only statistically suspect but also will hide the inequities that are detrimental to optimal syst
266 racterize the transmissibility of the virus, hides the fact that transmission is stochastic, often do
267 olic rates and reduced heat loss mediated by hiding the head-the body part with the highest heat diss
268 rameric assembly employed by soluble AhlC to hide their hydrophobic membrane associated residues.
269 es adjusting the organ's light intensity to "hide" their silhouettes from predators below.
270                                         This hidden thermodynamic driving motif is ideal for the engi
271 he number of hidden states and the number of hidden timesteps needed to implement any given function.
272 nction can be decomposed into a sequence of "hidden" timesteps, demarcated by changes in what state-t
273 he presence of transiently populated states (hidden to conventional crystallographic studies) can be
274                          TRAPs, which remain hidden to prior flow diagnostics, thus provide critical
275 y sulfated and complex glycans that remained hidden to the original search.
276 ific information that is often unwritten and hidden to those outside academic social knowledge networ
277 ere, we address this challenge by uncovering hidden TRansient Attracting Profiles (TRAPs) in ocean-su
278 spin, the chain of magnetic atoms unravels a hidden transverse dimensionality that can be exploited t
279 f using chemometrics and sensors to identify hidden trends in environmental parameters, which allow t
280 Relations between task elements often follow hidden underlying structural forms such as periodicities
281 nce of the site-specific uncertainty such as hidden/undetected faults and stress regime.
282                               Moreover, each hidden unit has contributions from each of the genes, an
283 alysis of these contributions shows that the hidden units are significantly enriched in known asthma-
284  then used genes that contribute most to the hidden units to develop a secondary random-forest classi
285        Using the trained autoencoder with 50 hidden units, we found that hierarchical clustering on t
286 tial sequestration of Nb relative to Ta in a hidden (unsampled) reservoir.
287 ctures in complex tissues that have remained hidden until now.
288           Therefore, our approach can expose hidden variability in the balance of intrinsic and synap
289 e propose a computational approach to reveal hidden variability in the intrinsic and synaptic conduct
290               This work reveals an important hidden variable that shapes the temporal structure of mo
291 and highlight the contribution of previously hidden variables to the observed population heterogeneit
292  and hid The apoptosis induced by Reaper and Hid was probably the underlying cause for developmental
293 properties of individual molecules which are hidden when measured using ensemble averaging methods.
294 hers develop new methods to unearth patterns hidden within complex data, it is natural to think of th
295 he "phosphatase activation domain (PAD)", is hidden within native Tau in a 'paperclip'-like conformat
296 , where they promoted rapid lipid synthesis, hiding within lipid droplets.
297 arning based method to automatically detect 'hidden' writings and map material variations.
298 libraries of >1012 enzyme variants) that may hide yet unexplored catalytic activities and selectivity
299  This implicit model of active gaze may be a hidden, yet fundamental, part of the rich process of soc
300 chers with tremendous opportunity to extract hidden, yet undiscovered, knowledge.

 
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