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1 o and integrated into the existing metabolic framework.
2 olatility task using a hierarchical Bayesian framework.
3 ow plasticity evolves in a large comparative framework.
4 cal trial of FMT to validate our theoretical framework.
5 he lack of a coherent, model-based inference framework.
6  and biological effect in a machine-learning framework.
7  energy expenditure may call for a different framework.
8  outcomes within an integrated care delivery framework.
9 translated into the classical linear optical framework.
10 essment, Development, and Evaluation (GRADE) framework.
11 nges and to develop a genetic implementation framework.
12 ChIP-seq signals based on an empirical Bayes framework.
13 y with state-of-the-art statistical analysis framework.
14 ty of data in a nonparametric autoregressive framework.
15 hin a Bayesian hierarchical semi-mechanistic framework.
16 tal-organic frameworks, and covalent organic frameworks.
17 a or trigonal prisms within their structural frameworks.
18  exploited to build 1D, 2D, and 3D inorganic frameworks.
19 initrogen molecules occupy channels of these frameworks.
20                  Utilizing an evidence-based framework, 3 gene curation teams blinded to each other's
21     We demonstrate the effectiveness of this framework across a wide variety of tasks and computation
22 ence in our model is performed in a Bayesian framework, allowing us to quantify uncertainty in the al
23 rks and cannot be accessible by imine-linked frameworks, amorphous analogues, and 1D conjugated polym
24 in urban emissions using an inverse modeling framework and (2) quantify the information that mobile o
25 red molecules present a persistent nonplanar framework and are soluble in a wide variety of solvents.
26                                We apply this framework and explain underlying fundamental concepts th
27               The distance between the anion framework and K(+) resembles a frustrated Lewis pair-lik
28 sity's (CBD's) post-2020 global biodiversity framework and targets will be developed as we enter the
29  ways individual differences might enter the framework and the translational opportunities offered by
30 ctions are unique to sp(2) carbon-conjugated frameworks and cannot be accessible by imine-linked fram
31                                Metal-organic frameworks and porous coordination cages have shown incr
32  We outline hypotheses within a quantitative framework, and analyse data where available, to consider
33 -C bonding results in a hard, incompressible framework, and owing to the balanced electron count, La(
34 ometer pores, the Si/Al ratio of the anionic framework, and the charge-balancing cations.
35 upported on zeotype materials, metal-organic frameworks, and covalent organic frameworks.
36 to extend trends across isostructural UiO-66 frameworks, and serves as the foundation for future plut
37 ossil identifications made in a phylogenetic framework are beholden to specific tree hypotheses.
38                             Covalent organic frameworks are an emerging class of porous crystalline o
39                             The sp(2) carbon frameworks are highly luminescent even in the solid stat
40 ll benefit if proper policies and regulatory frameworks are implemented before the complete introduct
41 hrough the intermediacy of a 13(14 -> 8)abeo-framework as present in the dankasterone and periconiast
42 hemical characteristics of an acidic zeotype framework at the molecular level can provide valuable in
43 contain 18 different pentagonal heterocyclic frameworks at position 4, was synthesized and evaluated.
44                            A biomathematical framework based on fundamental principles of evolution a
45        Here, we present a privacy-preserving framework based on several advances in homomorphic encry
46              The heterogeneous metal-organic framework Bi-BTC successfully catalyzed the synthesis of
47 nd DNA contamination in a unified likelihood framework by leveraging individual-specific allele frequ
48                                We describe a framework by which an understanding of the processes tha
49                    The developed theoretical framework can be fully generalized to other emergent lay
50                                          The framework can be implemented using model-view-controller
51                                         This framework can be used for constructing predictive probab
52                  The six SDG Transformations framework can be used to examine SDGs with relevance to
53                    The use of the evaluation framework can help to improve decision making at farm an
54 mage translation, by employing a theoretical framework capable of establishing a shared feature-space
55 sent the Allen Mouse Brain Common Coordinate Framework (CCFv3) as such a resource.
56                       The potential-outcomes framework characteristically requires a well-defined hyp
57  Here we present an End-to-End deep learning framework, circDeep, to classify circular RNA from other
58 a vinylene-linked (-CH=CH-) covalent organic framework, COF-701, directly from acetonitrile, a cheap
59                             Covalent organic frameworks (COFs) are an emerging class of crystalline p
60 ine, porous, and stable new covalent organic frameworks (COFs) have been developed by a stepwise synt
61 linked, crystalline, porous covalent organic frameworks (COFs) have been synthesized and structurally
62 he construction of two rare covalent organic frameworks (COFs) with high crystallinity and robustness
63  environmental context, using a mathematical framework combined with multiscale data gives us insight
64 mensionality COFs, paves the way to covalent frameworks composed of hierachical chemical structures.
65 passing various stress sources, this unified framework considerably simplifies and extends the modeli
66                                          Our framework constitutes a roadmap for the empirical studie
67 sh insights into the design and synthesis of frameworks constructed from coordinatively, covalently,
68 simple-to-fabricate iron-based metal-organic framework-derived photothermal nanoparticles is introduc
69 se application areas including metal organic framework design, TM-based catalyst design, the traffick
70              Here, we apply a new evaluation framework developed by the Economics of Ecosystems and B
71 e, we develop and validate a biomathematical framework encompassing drug resistance and radiobiology
72            A complex legal and institutional framework exists in the EU to ensure the safety of the f
73                 However, we currently lack a framework explicitly linking these disciplines.
74 tarity-determining region (CDR) grafting and framework fine tuning and again co-crystallized with hRO
75                  Porous materials exhibiting framework flexibility offer unique opportunities to tune
76       The Learning Collaborative developed a framework for a HF value-based payment model with a long
77 tiologic understanding of EoE and provides a framework for a polygenic risk score to be validated in
78 ess this, we propose a general computational framework for adapting to novel tasks based on their rel
79    This study provides a simple but powerful framework for advancing SI in mainstream cereal producti
80  in VB theory provides a natural and elegant framework for analyzing and comprehending the impact of
81  well-developed analytic procedures into the framework for analyzing over-dispersed and zero-inflated
82                Here we provide a statistical framework for assessing heritability models using summar
83 ne principles of best practice and provide a framework for assessing the fidelity of their implementa
84                            Here we present a framework for categorizing urban biodiversity from a man
85        This paper aims to illustrate a novel framework for conceptualizing, collecting, and analyzing
86                      These studies provide a framework for connecting enzymatic and biological functi
87 xt of prostate cancer and a multidimensional framework for considering a patient's risk of financial
88           Our previously proposed conceptual framework for conventional binocular rivalry, which incl
89 n cardiovascular outcomes and then propose a framework for decision-making, which includes an assessm
90                        This study provides a framework for developing characterization factors for fu
91         Synthetic lethality is an innovative framework for discovering novel anticancer drug candidat
92 re to support innovation, including a robust framework for environmental risk assessment (ERA) that i
93  study mechanisms of repeat expansion, and a framework for evaluating the roles of VNTRs in human evo
94 ds to analyze the Bom Jesus ivory provides a framework for examining vast collections of archaeologic
95 combined with a motion-robust reconstruction framework for four-dimensional visualization and quantif
96  Together, our approach and findings offer a framework for future studies across the spectrum of imag
97 isting data, providing a formal, falsifiable framework for future study.
98 uclear nanoenvironment as a novel regulatory framework for gene expression.
99 hich we call DynaMoE, provides a fundamental framework for how the prefrontal cortex may handle the a
100 ght of our global assessment, we establish a framework for improving the management and conservation
101          Here, we use a flexible statistical framework for integrating multiple surveillance data sou
102 tatistical model used here provides a robust framework for making best use of all available informati
103 ivity (and therefore, function), providing a framework for mapping all PB output projections based on
104 g establish fundamental insights, laying the framework for optimization in cell-based therapeutics in
105 bon-carbon (C-C) bonds providing the central framework for organic molecules, development of biocatal
106 he enzyme family as targetable and provide a framework for other DUBs programs.
107 e highly relevant parameters could provide a framework for personalized medicine in diabetes.
108 ity losses from climate change and provide a framework for predicting both when and where these event
109                     Here, we introduce a new framework for quantifying trait correlations, phylogenet
110          These findings lay out an important framework for structure-guided drug discovery targeting
111               We have developed an extensive framework for the analysis of NGS functionalization scre
112 e starting point for a unifying quantitative framework for the assembly, structural maintenance and f
113            Our study provides an integrative framework for the cognitive processes that drive loss-av
114  combinatorial library settings, providing a framework for the design of new DEL synthesis technologi
115 sexual reproduction and create a theoretical framework for the evolution of indiscriminate sexual beh
116  habitat engineers, whose skeletons form the framework for the highly diverse, yet increasingly threa
117                         Our study provides a framework for the much needed incorporation of plasmid d
118          To provide an unbiased and accurate framework for the quantitative analysis of fluorescent i
119              Our work provides a mechanistic framework for the recognition of sequence-divergent pept
120            Our results provide a mechanistic framework for therapeutic targeting of ligand-dependent
121 b trail of transcriptional memory provides a framework for understanding how heterozygous loss-of-fun
122                       Our findings provide a framework for understanding how innate sensory cues are
123                     The structure provides a framework for understanding mechanisms of trans-histone
124                  A heuristic neurobiological framework for understanding the bidirectional relationsh
125                       Our findings provide a framework for understanding the computational effects of
126 has emerged are insights they may serve as a framework for understanding the design principles of a n
127                                     We lay a framework for understanding the role of IL-6 in the cont
128 re we develop a hypothesis-driven resilience framework for urban transport NoNs, which we demonstrate
129 odel development, and introduce a conceptual framework for use of preclinical models for therapeutic
130 nents into organized hierarchical biopolymer frameworks for added optical functionalities, such as en
131  techniques while introducing researchers to frameworks for implementation.
132  to make progress toward developing rational frameworks for selecting electrode materials used to har
133 hiatric disorders and, more recently, causal frameworks for these epidemiological associations have b
134 over the last century, we still lack a solid framework from which to investigate more abstract, highe
135                                         This framework guides mechanistic inference by directing func
136                                          The framework has been benchmarked and has demonstrated comp
137        This clathrate consists of a 3D Zn-Sb framework hosting K(+) ions inside polyhedral cages, som
138 ing a multi-objective robust decision-making framework in the face of deep uncertainties.
139 ore effective ways to adopt machine learning frameworks in achieving robust performance for decoy sel
140 on) methodology and the Evidence-to-Decision framework, in January 2019, the 13-member Workgroup and
141 cs-data as prior knowledge within a Bayesian framework, in order to learn and model large-scale trans
142                       Extensions to Galaxy's framework include support for federated identity and acc
143                                    The final framework included criteria with strong (> 75%) agreemen
144 l projection (PRP), a parallel computational framework involving the decomposition of a large-scale L
145                                 Quantitative frameworks involving both the computational simulation a
146                                 The proposed framework is a first step toward developing asthma remis
147                              The theoretical framework is applied to interpretation of literature dat
148                              A computational framework is developed to identify biomarker genes for l
149                   The proposed deep learning framework is effective for such task.
150                                            A framework is established based on Tempel that enables us
151             In the method, sequence labeling framework is extended by multiple specified feature extr
152                    We propose that a broader framework is needed to account for how people balance di
153                     Here, a chemical-bonding framework is provided for understanding the behavior of
154                      A popular deep learning framework (Keras) is applied to the problem of image seg
155                                          Our framework may also help toward understanding the effects
156 was tested by anchoring the chromophore to a framework metal node, portending a potential avenue to d
157   Different coordination environments of the framework metals lead to variations in the linker stacki
158 e (GCE) modified with Fe-based metal-organic frameworks, MIL-101(Fe).
159 n, we deliberately design a Th-metal-organic framework (MOF) for highly efficient separation of C(2)H
160 ties of nanomaterials, such as metal-organic frameworks (MOF), has been extensively investigated over
161        The postmodification of metal organic frameworks (MOFs) affords exceedingly high surface area
162                                Metal-organic frameworks (MOFs) are promising materials for onboard hy
163 sional (2D) layered conductive metal-organic frameworks (MOFs) as drop-casted film electrodes that fa
164 nce of electrically conductive metal-organic frameworks (MOFs) has led to applications in chemical se
165                     Conductive metal organic frameworks (MOFs) represent a promising class of porous
166                                Metal-organic frameworks (MOFs), constructed from organic linkers and
167  analysis of carboxylate-based metal-organic frameworks (MOFs), we present general evidence that chal
168  can enhance key properties of metal-organic frameworks (MOFs).
169 disorder and showing that a local tetragonal framework more accurately describes the structure than t
170 n association with offspring disease risk, a framework must first be built with insight into the expe
171 e next steps needed to develop a fundamental framework needed for a deeper understanding of DESs.
172                      Nanoscale metal-organic frameworks (nMOFs) are excellent radiosensitizers for ra
173 o-authors discuss the implementation science framework of an HIV/AIDS program in the United States.
174 measurements in optomechanics in the general framework of Berry phases for composite systems.
175 de a starting point for creating mechanistic framework of brain IR in further development of personal
176                                         This framework of connections between visual areas is based o
177 ting microvascularized constructs within the framework of current bioprinting modalities.
178      Furthermore, microporous supramolecular framework of PTC-1(2H) is able to promote the heterogene
179      We have found that this is an effective framework of quality measures.
180 y justified when seen in the richer rational framework of the new paradigm.
181 A comprehensive perspective of the technical framework of the state-of-the-art RBC-mediated delivery
182                  Incorporating indexing into frameworks of memory function opens new avenues of study
183 for root traits to be used within predictive frameworks of plant-fungal relationships.
184                             Covalent organic frameworks offer a molecular platform for integrating or
185 stic Alzheimer's disease than either the ATN framework or the phosphorylated-tau/amyloid-beta1-42 rat
186                                However, such frameworks perform far less favorably when evaluated in
187                              The theoretical framework presented here is a useful tool to evaluate th
188                   Although the computational framework presented here is developed for RNA hairpin sy
189                          The richness of the framework presented in this study reinforces the importa
190                  We hope that the conceptual framework proposed in this review may provide a useful g
191 We recently introduced protein-metal-organic frameworks (protein-MOFs) as chemically designed protein
192                      The presented numerical framework provides an insight into understanding of the
193 y provides a robust test of this reiterative framework, providing the basic, translational, and publi
194                                 Our modeling framework recovers and explains a large diversity of she
195 ons (CDRs) but also surprisingly high in the framework regions (FRs), especially FR3.
196                                          Our framework requires a simulation model that can estimate
197                                Applying this framework results in reliable growth predictions that ar
198                                      The BSP framework revealed population expansions, dated after th
199 Li(+) ions to bind more strongly to the host framework S(2-) anions, which in turn modulates the Li(+
200                                         This framework's refinement and use will guide interdisciplin
201                   Within a predictive coding framework sensory information could be down-weighted in
202 rporation of thiophene into the triarylamine framework significantly impacted the molecular propertie
203         Hydrophobic Beta zeolites containing framework Sn atoms catalyze the transfer hydrogenation r
204       There are three proposed PG diagnostic frameworks (Su, PARACELSUS, Delphi); however, they lack
205 heory, we formulated a bi-level optimization framework termed NECom for which any feasible solutions
206 he support and anchored by two Rh-O bonds at framework tetrahedral sites, as shown by infrared and ex
207 e, we advance existing hypotheses with a new framework that accounts for quantitative FLS variation a
208             Here, we present a computational framework that aligns ChIP-exo crosslinking patterns fro
209        Here, we develop a simple theoretical framework that allows measuring the relative strength of
210                  However, researchers lack a framework that can anticipate how diverse species will r
211            We used this process to develop a framework that can be applied in other jurisdictions.
212 ect-coupling analysis (DCA) is a statistical framework that captures residue coevolution within prote
213 gical well-being, the field lacks a unifying framework that clarifies the dimensions of human flouris
214 ne (SMCE), a probability-based computational framework that considers a set of parameters as a whole.
215     In this protocol, we introduce a unified framework that consists of model-, feature- and biology-
216 we introduce protein distance net (PDNET), a framework that consists of one such representative datas
217 rocess is modelled within the Bass diffusion framework that enables us to compare the differential eq
218             A novel mathematical-statistical framework that included EAs with zero observations was u
219 ole, this study presents a new computational framework that serves as a high throughput method to eva
220 We developed LeafCutterMD, a new statistical framework that significantly improves the previously pub
221 is application, SMCE remains a computational framework that supports the projection of a model with u
222                     Our aim was to develop a framework that will distill the currently known multiple
223                  We describe the statistical frameworks that incorporate and adjudicate between both
224                                 New research frameworks that simultaneously address production and en
225 t of the amyloid, tau, and neurodegeneration framework, the available evidence and potential alternat
226                                      In this framework, the total antioxidant capacity (TAC), namely,
227              Using the combined PE-MYH7-ACMG framework, the VUS decreased significantly from 49 to 27
228   We developed two models under the Bayesian framework: the Poisson-multinomial (ASHIC-PM) model and
229         We demonstrate fidelity of our mrdna framework through direct comparison of the simulation re
230      We extend the classic transfer learning framework through ensemble and demonstrate its general u
231             These findings provide a circuit framework through which dopamine neuronal activation shi
232                            We then apply our framework to a stochastic model of the rocky intertidal
233                    Here, we describe a novel framework to address this challenge.
234                                 We apply the framework to assess final energy and emission pathways f
235 es a high-resolution, process-based modeling framework to assess the impacts of changing climate on w
236                  MutSpace is a promising new framework to better understand cancer heterogeneity base
237 review, the authors leverage a translational framework to bring together findings from studies in ani
238             Here, we present a deep learning framework to capture pathogenic noncoding mutations in p
239                Here we propose a theoretical framework to combine quantum and molecular mechanics met
240                          We build on the SBT framework to construct the HowDe-SBT data structure, whi
241                           Here, we propose a framework to create density functionals using supervised
242 gths-Weaknesses-Opportunities-Threats (SWOT) framework to critically assess the current status of thi
243                  This study proposes a novel framework to determine the optimal location for construc
244              Here we formulate a theoretical framework to elucidate the phase behavior of the linker-
245           Here, we present tappAS, the first framework to enable a comprehensive Functional Iso-Trans
246                                 We present a framework to estimate the economy-wide energy requiremen
247                       We use our theoretical framework to estimate the limits of mechanosensing in a
248 us, our results provide a general conceptual framework to explain how internal signals can be integra
249 ires reliable kinetic assays and an analysis framework to extract kinetic pharmacological parameters.
250             We used the evidence to decision framework to facilitate recommendations formulation as s
251        We adopt an empirical Bayes inference framework to fit the proposed hierarchical model by impl
252  see text] This paper paves the experimental framework to further explore chip-scale axon and neuron
253                               We expand this framework to future directions including the potential f
254     Results from previous studies provided a framework to generate a 10-minute video that featured re
255                                 Applying our framework to Germany as a proof of concept, we show sign
256 , adoption, implementation, and maintenance) framework to identify critical issues for continued prog
257              This approach offers a powerful framework to identify neurodevelopmental processes affec
258               We provide a general modelling framework to jointly infer infection histories and descr
259             We further present a theoretical framework to justify our model architecture.
260              Here, we develop a quantitative framework to measure absolute abundances of individual b
261 t can extend the standard regulatory mapping framework to more diverse, disease-relevant cell types a
262  field observations to develop a mechanistic framework to predict avulsion frequency on deltas with m
263                                We apply this framework to predict chromatin loops in 56 Hi-C datasets
264        In this work, we constructed a robust framework to predict how complex network behavior in DCv
265 d fluorescent biosensor, and a data analysis framework to quantify the recruitment kinetics.
266                           Here, we present a framework to quantitatively infer community assembly mec
267                               We applied our framework to simulated datasets and to a real-world data
268  coordination environment in a metal-organic framework to stabilize discrete inorganic clusters withi
269 l animals provide a preliminary, mechanistic framework to support the emerging epidemiological associ
270 led and Refined Annotation of Metabolism), a framework to translate the deluge of microbiome-based ge
271 via exocytosis and provide a better physical framework to understand this important phenomenon.
272 ness domain, many initiatives are developing frameworks to assess impacts on biodiversity.
273 , and as potential benchmark sites in global frameworks to estimate SOC change.
274            H-MAGMA adds to existing analytic frameworks to help identify the neurobiological principl
275  from using progress made within these three frameworks to move toward a paradigm that formulates RNA
276                                 The proposed framework unites many ideas of tinnitus pathophysiology
277                               The simulation framework, validated with experimental results and suppo
278      Now, a cationic nanoscale metal-organic framework, W-TBP, is used to facilitate tumor antigen pr
279 s unknown, a dynamic root-hydraulic modeling framework was developed that set up a feedback between h
280                              A computational framework was used to elucidate the reinforcement-learni
281           The risk assessment and projection framework we propose could inform risk-based assessment
282 ese data in an accessible and across-species framework, we interpret the different timescales of voca
283 neurocognitive factors within a longitudinal framework, we need to improve measurement.
284  morphometric methods, within a phylogenetic framework, we were able to determine the conservative sk
285 on Appropriateness Index and the Prescribing Framework were used to assess medication provision.
286 ulative probability models within a Bayesian framework were used to estimate the treatment effect wit
287 ogical setting into the 'Ant-in-a-Labyrinth' framework which studies physical transport through disor
288 diverse d-d or d-f coordination clusters and frameworks which could be obtained in the crystalline fo
289 statistical-thermodynamics-based informatics framework, which allows us to probe for the contribution
290 tially improves efficiency over conventional frameworks, while maintaining or improving the quality o
291                                         This framework will be important for explaining patterns of e
292                             In summary, this framework will be useful to better detect outlier-free g
293                   Our objective is that this framework will improve the quality of evidence generated
294            Future research that applies this framework will provide critical insight to preserve the
295 would be missed within a logistic regression framework with a binary phenotype defined as event occur
296       We illustrate the applications of this framework with a new biogeochemical simulation model tha
297 bar degeneration syndromes provides a useful framework with which to understand disease aetiology, pr
298  compare the concordance of these diagnostic frameworks within a single-institution cohort of patient
299 ectively reduced to give the natural product framework without recourse to stepwise Ullmann- and Suzu
300 n the utilization of magnetic zinc-imidazole frameworks (ZIF-4), as a highly efficient media for on-l

 
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