1 We introduced 1,4-disubstituted 1,2,3-triazoles as metab
2 In this Feature,
we introduce 3D printing as a tool for use in research l
3 Herein,
we introduce a "seed" strand to control the crucial nucl
4 talk between the epithelium and vasculature,
we introduce a 3D microfluidic platform that juxtaposes
5 We introduce a Bayesian framework for information sharin
6 Here,
we introduce a bespoke machine-learning approach, hierar
7 Herein,
we introduce a bifunctional supramolecular modulator, 1,
8 We introduce a breakthrough in immunosensing based on th
9 Here,
we introduce a cell-permeable, biocompatible, viscosity-
10 We introduce a class of information measures based on gr
11 Here,
we introduce a coalescent-based model that allows us to
12 We introduce a complete mevalonate pathway in the peroxi
13 We introduce a completely tuning-free Bayesian Gaussian
14 Here,
we introduce a comprehensive method that enabled the eff
15 Herein,
we introduce a comprehensive methodology to map the reac
16 Finally,
we introduce a comprehensive supplementary online manual
17 Here
we introduce a computational framework to link the adjac
18 Here,
we introduce a computational model in which hippocampus
19 We introduce a concept of using analogous methods to man
20 Here,
we introduce a deep-learning extended DOF (DeepDOF) micr
21 We introduce a degree of freedom for each marker effect
22 Here,
we introduce a family of uranium-oxysulfate cluster anio
23 Herein
we introduce a fast affinity induced reaction sensor (FA
24 In this work,
we introduce a fast and scalable algorithm for calculati
25 We introduce a framework of demographic resilience that
26 Here,
we introduce a full-field approach to wave imaging based
27 We introduce a general approach to arbitrarily shape pro
28 We introduce a general strategy to install and remove su
29 Here
we introduce a generalized GREML, named CORE GREML, that
30 Finally,
we introduce a generic mantis-ml score (GMS) trained wit
31 We introduce a hierarchical machine learning approach fo
32 Here,
we introduce a homogeneous quenching resonance energy tr
33 the assumption of thermodynamic equilibrium,
we introduce a language of higher-order cooperativities
34 Thus,
we introduce a live-cell imaging tool to facilitate in v
35 We introduce a live-cell points accumulation for imaging
36 Here,
we introduce a Markov chain model with each state corres
37 To enable such studies,
we introduce a mathematical framework that contrasts MR
38 First,
we introduce a measure to quantify the asymmetry of a co
39 Here,
we introduce a memory-assisted physical system (a digita
40 Furthermore,
we introduce a mesenchymal stromal cell derived from hum
41 ular composition of distinct tissue regions,
we introduce a method for multimodal intersection analys
42 Here,
we introduce a method named EXoO-Tn for large-scale mapp
43 To complement existing point measurements,
we introduce a method that infers basin-scale deep-ocean
44 In this paper
we introduce a method that uses evolutionary information
45 Here
we introduce a method that uses predictions from a fluct
46 fluorescence cross-correlation spectroscopy,
we introduce a method to measure surface protein density
47 Here,
we introduce a method to use polarization optics via liq
48 We introduce a methodology for optimizing screening, ass
49 e significance of this sensing framework and
we introduce a metric, referred to as synaptic efficienc
50 Herein,
we introduce a microfluidic redox-neutral electrochemist
51 Finally,
we introduce a model that enables estimates of the equil
52 r selecting the most probable stoichiometry,
we introduce a model-selection method that is applicable
53 Here
we introduce a modular barrel architecture, and demonstr
54 We introduce a neural topic model to explain these obser
55 Additionally,
we introduce a new algorithm to perform anomaly detectio
56 Here
we introduce a new approach that enables the determinati
57 nalysis of fluorescent images of astrocytes,
we introduce a new automated image processing pipeline w
58 We introduce a new boron-doped cyclophane, the hexabora[
59 Here
we introduce a new data set of RNA elements in the human
60 We introduce a new data-driven approach for grouping tog
61 To this end,
we introduce a new direction to improve the information
62 In this study,
we introduce a new dynamic covalent chemistry based on s
63 Here,
we introduce a new electroanalytical method based on alt
64 Here,
we introduce a new framework for quantifying trait corre
65 We introduce a new latent fingermark (LFM) development m
66 We introduce a new method to quantify anthocyanin color
67 We introduce a new method, Reg-Seq, that links massively
68 In order to analyze all 15,000+ genomes,
we introduce a new method, SkewIT (Skew Index Test), tha
69 In this work,
we introduce a new optical sensing framework based on th
70 Here
we introduce a new software package, Brian2GeNN, that co
71 We introduce a new software tool SONIA to facilitate inf
72 In this work,
we introduce a new two-dimensional chip-based high-perfo
73 We introduce a new, broadly applicable technique for the
74 Here,
we introduce a novel 'cannibalistic' elimination algorit
75 We introduce a novel approach to statistically assess th
76 Here
we introduce a novel computational method based on the c
77 Here,
we introduce a novel computational tool, seekCRIT (seek
78 In this study,
we introduce a novel dynamic learning method that first
79 We introduce a novel method for estimating TDFs in a wil
80 Herein,
we introduce a novel method of photodynamic effect evalu
81 We introduce a novel method to compute three-dimensional
82 In this study,
we introduce a novel method to couple microchip-based fr
83 In doing so,
we introduce a novel metric of climate connectivity, 'hu
84 We introduce a novel modeling framework to tackle this d
85 We introduce a novel network-based approach named Patien
86 In this work,
we introduce a novel optimization-based decision-making
87 Here
we introduce a novel parametrisation of sc-RNA data, giv
88 Here,
we introduce a novel platform that allows IC-FPOP to occ
89 In this paper
we introduce a novel software tool called SIRE (standing
90 In summary,
we introduce a novel statistical approach to systematica
91 We introduce a novel weighted-minimizer sampling algorit
92 We introduce a perturbative method for this problem for
93 ical data where the ground truth is unknown,
we introduce a phylogeny-based measure for identifying p
94 Here
we introduce a process for the high-yield heterogeneous
95 We introduce a program suite with (i) an automated desig
96 Here,
we introduce a promising surface coating strategy relyin
97 Finally,
we introduce a proposed universal bacterial pathogen mod
98 Finally,
we introduce a pseudocolorization scheme that accurately
99 Here
we introduce a pulse overlap transmission imaging techni
100 We introduce a quantitative parameter to characterize th
101 i-motif with a forced-intercalation readout,
we introduce a quencher-free approach that is resistant
102 Toward this goal,
we introduce a real-time numerical simulation model of a
103 Here
we introduce a resection and response-assessment approac
104 Here,
we introduce a soft, wearable flexible hybrid electronic
105 facilitate these highly complex experiments,
we introduce a strategy that provides complete control o
106 Here
we introduce a strategy to define complete portfolios of
107 Here,
we introduce a streamlined CUT&Tag protocol that suppres
108 Here
we introduce a task that investigates if mutual reward d
109 We introduce a task-remapping paradigm, where subjects s
110 We introduce a technique to test whether intrinsic fetal
111 Here,
we introduce a theoretical framework modeling the dynami
112 In this paper,
we introduce a tool for reconstructing transmission netw
113 We introduce a topological characterization, the hub-set
114 Here
we introduce a transmission model combining age-stratifi
115 Here
we introduce a transposon-based mutagenesis approach (TR
116 In this protocol,
we introduce a unified framework that consists of model-
117 We introduce a unique system to achieve on-demand drople
118 First,
we introduce a variant of the metal-induced graphitizati
119 In this work,
we introduce a wearable hot-film/calorimetric breath sen
120 To map such patterns,
we introduce a weighted univariate clustering algorithm
121 Here,
we introduce a workflow for dose-response metabolomics t
122 in an in vivo disease-relevant model system,
we introduced a C181S mutation into a conditional NrasG1
123 unt for different entry times among cohorts,
we introduced a horizontal translation factor to the dat
124 We introduced a mutation (S217A) in the conserved switch
125 certain position in sequence and structure,
we introduced a new metric designated 'contact proximity
126 We introduced a new metric, termed stem cell aggregate p
127 To do so,
we introduced a previously developed enzymatic-cleavage
128 In addition,
we introduced a second mutation in ORC2 in the ORC5 muta
129 To address this knowledge gap,
we introduced a series of Fe(IV)-oxido complexes that ha
130 Hence,
we introduced additional hIL-23p19 substitutions within
131 Here
we introduce advances in bioprinting technologies for in
132 Here
we introduce an adaptive sampling scheme optimized to id
133 We introduce an alternative photosynthesis model (beta (
134 Here
we introduce an approach for standardizing gHDX measurem
135 We introduce an automated auditing approach for suggesti
136 In this paper,
we introduce an easy-to-use, versatile, and all-in-one a
137 In this article,
we introduce an end-to-end approach for deriving feature
138 Here,
we introduce an enhanced capability of F-TD through the
139 Here
we introduce an Escherichia coli strain that forms small
140 Here,
we introduce an expanded evolutionary approach that cons
141 We introduce an extension of the Irreproducible Discover
142 sis from multimodal single-cell experiments,
we introduce an extension of the RNA velocity method tha
143 challenge of representing graph information,
we introduce an improved graph representation learning m
144 Here
we introduce an in vivo barcoding strategy that is capab
145 We introduce an information measure that reflects the in
146 We introduce an innovative wireless system based on magn
147 Here
we introduce an integrated statistical framework to test
148 DOF measurements closer to the physics, here
we introduce an interferometric technique, surmounting c
149 Here
we introduce an on-tissue ozonization protocol that enab
150 To broaden applications of origami designs,
we introduce an origami system with magnetic control.
151 Here
we introduce an unconventional quantum probe, an entangl
152 We introduced an AMS intervention to Queen Elizabeth Cen
153 Based on corneal microstructure,
we introduce and fully characterize a nearly-incompressi
154 For the latter,
we introduce '
annotation principal components', multidim
155 We introduce Apollo, a universal assembly polishing algo
156 Here,
we introduce AssessORF, a new approach for benchmarking
157 Here
we introduce azobenzene-based organic compounds as new a
158 In this study,
we introduce BEHRT: A deep neural sequence transduction
159 To this end,
we introduce BinaryCIF, a serialization of Crystallograp
160 We introduced carbon nanotubes during the self-assembly
161 First,
we introduce Cassiopeia-a suite of scalable maximum pars
162 To improve cell detection,
we introduce CB2, a cluster-based approach for distingui
163 Here
we introduce chemical-crosslinking assisted proximity ca
164 Here,
we introduce ClipKIT, an alignment trimming software tha
165 Here,
we introduce conjugation between platinum(IV) prodrugs o
166 We introduce criteria that prioritize parsimonious trans
167 First,
we introduce critical fundamentals of ECR, including the
168 We introduce:
Critical Coupling (C(c)), the ability of a
169 We introduce DeMaSk, an intuitive and interpretable meth
170 Here,
we introduce DNA punch cards, a macromolecular storage m
171 To address this problem,
we introduce dual threshold optimization (DTO), a new me
172 We introduce dynamic signatures of cells derived from th
173 In this paper,
we introduce EB-PRS, a novel method that leverages infor
174 We introduced elemental silicon during chemical vapor de
175 Here
we introduce embedded droplet printing-a system and meth
176 Here,
we introduce Enhanced Integrated Gradients (EIG), a meth
177 Furthermore,
we introduce fast-scale monitoring of synchronous calciu
178 Here,
we introduce FLEXIQuant-LF, a software tool for large-sc
179 Here,
we introduce fluorous cyanine dyes that represent the mo
180 Using CRISPR-Cas9,
we introduced frameshift mutations in these risk genes i
181 We introduce FucoID as a general platform to detect endo
182 Here,
we introduced genome editing reagents into single-cell b
183 Here,
we introduce graph learning, a growing and interdiscipli
184 To overcome this,
we introduce here a selective Halpha,Calpha-correlating
185 The HLA and AIRR analysis approaches
we introduce here are untargeted and therefore do not re
186 We introduce here oxView, a web browser-based visualizer
187 We introduce important reservoirs and processes affectin
188 We introduce improved optically decodable mRNA capture b
189 Here
we introduce improvements to cancer personalized profili
190 We introduce IRIS3, the first-of-its-kind web server for
191 Here,
we introduce isobaric quantitative protein interaction r
192 We introduce laser cavitation rheology (LCR) as a minima
193 Here,
we introduce Localized semi-Nonnegative Matrix Factoriza
194 Here
we introduce Logomaker, a Python API for creating public
195 Here
we introduce MetaLAFFA, a functional annotation pipeline
196 of these genomospecies in the chronoseries,
we introduce methodologies to estimate relative abundanc
197 Here
we introduce methods based on topological data analysis
198 We introduce methods for analyzing vocalizations as both
199 Here,
we introduce microSPLiT (microbial split-pool ligation t
200 We introduce MonoDir, a fully automatic, parameter-free
201 nd how cells deal with ribosome malfunction,
we introduced mutations in the Expansion Segment 7 (ES7L
202 To this end,
we introduce MutPred2, a tool that improves the prioriti
203 Here,
we introduce nanographenes, namely large polycyclic arom
204 Here
we introduce NanoSPC, a scalable, portable and cloud com
205 We introduce nanostraw-assisted transfection as an alter
206 We introduce netNMF-sc, an algorithm for scRNA-seq analy
207 In carrying out our study,
we introduce new methods for the analysis of large, nonl
208 Here,
we introduce off-resonance, low power and short pulse in
209 We introduce OligoFISSEQ, a suite of three methods that
210 Here,
we introduce particularly high sodium ion conductivity i
211 We introduce pathway complexity on a multicomponent syst
212 Here
we introduce PEPPAN, a novel pipeline that can reliably
213 Previously
we introduced peptidiscs as an alternative to detergents
214 Here
we introduce PerturbNet, a statistical framework for lea
215 We introduce phenazine-1,6-dicarboxamides as redox-respo
216 Here,
we introduce Phenotype Latent variable Extraction of dis
217 We introduce PhISCS-BnB (phylogeny inference using SCS v
218 Here,
we introduce PhyDOSE, a method that uses this informatio
219 Here
we introduce probabilistic cell typing by in situ sequen
220 Here,
we introduce projection electrophoresis to augment the h
221 In this work,
we introduce protein distance net (PDNET), a framework t
222 Here
we introduce ProteinVR, a web-based application that wor
223 We introduce RANKCORR, a fast method with strong mathema
224 In this article,
we introduce readers to the mechanisms isolating Sacchar
225 Here
we introduce RepeatModeler2, a pipeline that greatly fac
226 We introduce ReQTL, an eQTL modification which substitut
227 We introduce rsCaMPARI, a genetically encoded calcium ma
228 Here
we introduce separation-of-function mutations into the S
229 Here,
we introduce Sequence-based Toehold Optimization and Red
230 We introduce several loss functions that leverage these
231 Here,
we introduce signed variational graph auto-encoder (S-VG
232 Here,
we introduce single cell RNA Cap And Tail sequencing (sc
233 Lastly,
we introduce Single-Cell Proteomics Companion (SCPCompan
234 Here
we introduce single-molecule displacement/diffusivity ma
235 We introduced single disulfide bonds into NPC1 and NPC1L
236 In this Perspectives article,
we introduce six principles in behavioural economics (lo
237 acilitate the annotation of specific smORFs,
we introduce SmORFinder.
238 Here,
we introduce soft, wireless, skin-like electronics (SKIN
239 To address this source of noise and bias,
we introduce specification curve analysis, which consist
240 In this contribution,
we introduce spectrally-encoded optical polarization ima
241 We introduce STAMPS, a pathway-centric web service for t
242 We introduce such a formalism and prove that it is able
243 We introduce such a method within the Bayesian paradigm
244 Here,
we introduce superimposition-free metrics that are based
245 In contrast, we find that if
we introduce systematic variation in cell-intrinsic prop
246 We introduce the "cationic potential" that captures the
247 Here,
we introduce the APA-seq method to detect the expression
248 We introduce the bioconjugation of polymers synthesized
249 Here,
we introduce the Bitome, a matrix composed of binary dig
250 Herein,
we introduce the challenges of state-of-the-art membrane
251 We introduce the concept of "event R," the expected numb
252 Here
we introduce the concept of "trapped air" metamaterial,
253 Here,
we introduce the concept of azimuthal multiplexing.
254 We introduce the concept of demographic competence to de
255 Here
we introduce the concept of generalized calibration, whi
256 Here,
we introduce the concept of the optofluidic light cage t
257 , part of the Compendium on Atherosclerosis,
we introduce the concepts of (1) intracellular immunomet
258 We introduce the design of a molecular mediator for elec
259 In this work,
we introduce the fabrication and characterization of the
260 Taken together,
we introduce the first hiPSC-derived BBB model that disp
261 Here
we introduce the functional searchlight approach as an a
262 We introduce the fundamentals and typical model architec
263 Based on our results,
we introduce the Inactivity Mismatch Hypothesis and prop
264 We introduce the key regulators and highlight newly emer
265 We introduce the linear decomposition model (LDM), that
266 Herein,
we introduce the mechanisms underlying TGFbeta signallin
267 Second,
we introduce the new gene expression classification prob
268 In this major update,
we introduce the next generation of both platforms, incl
269 Here,
we introduce the nonequilibrium reaction-diffusion self-
270 We introduce the notion of graph-based structural patter
271 We introduce the notion of reinforcement quantum anneali
272 We introduce the nWTA network, in which neurons are equi
273 We introduce the parameter of dissipation capacity by wh
274 Here,
we introduce the recently adopted comprehensive taxonomy
275 We introduce the relevant light-matter interactions and
276 Herein,
we introduce the research area of nanocrystal photocatal
277 Here,
we introduce the SurgeON(TM) system: a newly developed n
278 Here,
we introduce the Tactile Resistive Annularly Cracked E-S
279 We introduce the term protein connectivity-based dysfunc
280 Adopting these principles,
we introduce the Tolman-Eichenbaum machine (TEM).
281 Here
we introduce the topological Weaire-Thorpe class of mode
282 Here,
we introduce the Toxin-Antidote Recessive Embryo (TARE)
283 Here
we introduce the use of homo-FRET (Forster resonance ene
284 is type of general physical problem solving,
we introduce the Virtual Tools game.
285 derstand how PRD suppresses lymphomagenesis,
we introduced the cancer-associated PRD mutation R3008H
286 We introduced then the new concept of Endpoint Sensitivi
287 Here
we introduce thermal displacement as a metric that chara
288 Here
we introduce this image analysis method by presenting it
289 Here
we introduce this novel selenium analogue of pheomelanin
290 Here,
we introduce time-resolved two-magnon Raman scattering a
291 We introduce TOols for the Analysis of heterogeneouS Tis
292 epancies of experimental binding affinities,
we introduce topological data analysis, a variety of net
293 We introduce tradeSeq, a powerful generalized additive m
294 We introduce two computational tools that utilize Ki-67
295 To address the problem,
we introduce two network-based multi-task learning frame
296 We introduce two new features implemented in TPOT that h
297 n aiding quaternary structure determination,
we introduce two new filters, the distance-restraints (D
298 second regime, with broad spectral coverage;
we introduce two-dimensional spectroscopy and present re
299 Here
we introduce,
validate, and apply a magnetic device that
300 To this end,
we introduce ZVV, a practical approach to continuously t