wanyu/IteraTeR_full_sent huggingface dataset:
Original: In this paper  we introduce quantile cross-spectral analysis of multiple time series which is designed to detect general dependence structures emerging in quantiles of the joint distribution in the frequency domain . We argue that this type of dependence is natural for economic time series but remains invisible when  the traditional analysis is employed.
Revised: In this paper we introduce quantile cross-spectral analysis of multiple time series which is designed to detect general dependence structures emerging in quantiles of the joint distribution in the frequency domain and argue that this type of dependence is natural for economic time series but remains invisible when the traditional analysis is employed.
Edit intent: coherence
Original:  To illustrate how such dependence structures can arise between variables in different parts of the joint distribution and across frequencies, we consider quantile vector autoregression processes. We define new estimators which capture the general dependence structure, provide a detailed analysis of their asymptotic properties and discuss how to conduct inference for a general class of possibly nonlinear processes.
Revised:  We define estimators which capture the general dependence structure, provide a detailed analysis of their asymptotic properties and discuss how to conduct inference for a general class of possibly nonlinear processes.
Edit intent: clarity
Original:  In an empirical illustration we examine one of the most prominent time series in economics and shed new light on the dependence of bivariate stock market returns  .
Revised:  In an empirical illustration we examine one of the most prominent time series in economics and shed new light on the dependence of bivariate stock market returns and shed new light on measurement of tail risk in financial markets. We also provide a modelling exercise to illustrate how applied researchers can benefit from using quantile coherency when assessing time series models .
Edit intent: meaning-changed
Original:  We also identify conditions when these three patterns (steep, gradual, and overshooting) confer advantages  .
Revised:  We also identify conditions when these three patterns (steep, gradual, and overshooting) confer advantages . Our study shows that cellular signal transduction is governed by the principle of minimizing free energy dissipation and uncertainty; these constraints serve as selective pressures when designing dynamical signaling patterns .
Edit intent: meaning-changed
Original: While polymerizing a RNA molecule, a RNA polymerase (RNAP) walks step-by-step on the corresponding single-stranded DNA (ssDNA) template in a specific direction. Thus, a RNAP can be regarded as a molecular motor for which the ssDNA template serves as the track. The sites of start and stop of its walk on the DNA mark the two ends of the genetic message that it transcribes into RNA. Interference of transcription of two overlapping genes can strongly influence the levels of their expression, i. e., the overall rate of the synthesis of the corresponding full-length RNA molecules, through suppressive effect of one on the other. Here we model this process as a mixed traffic of two groups of RNAP motors that are characterized by two distinct pairs of on- and off-ramps. Each group polymerizes identical copies of a RNA while the RNAs polymerized by the two groups are different. These models, which may also be viewed as two interfering totally asymmetric simple exclusion processes, account for all modes of transcriptional interference in spite of their extreme simplicity. We study both co-directional and contra-directional traffic of the two groups of RNAP motors. Two special cases of the general model correspond to traffic of bacteriophage RNAP motors and that of non-phage RNAP motors.
Revised: We introduce exclusion models of two distinguishable species of hard rods with their distinct sites of entry and exit under open boundary conditions. In the first model both species of rods move in the same direction whereas in the other two models they move in the opposite direction. These models are motivated by the biological phenomenon known as Transcriptional Interference. Therefore, the rules for the kinetics of the models, particularly the rules for the outcome of the encounter of the rods, are also formulated to mimic those observed in Transcriptional Interference.
Edit intent: meaning-changed
Original:  By a combination of mean-field theory and computer simulation of these models we establish the conditions under which increasing rate of initiation of transcription of one gene can switch off another. However, the mechanisms of switching observed in the traffic of phage-RNAP and non-phage RNAP motors are different. Some of our new predictions can be tested experimentally by correlating the rate of RNA synthesis with the RNAP footprints on the respective DNA templates .
Revised:  By a combination of mean-field theory and computer simulation of these models we demonstrate how the flux of one species of rods is completely switched off by the other. Exploring the parameter space of the model we also establish the conditions under which switch-like regulation of two fluxes is possible; from the extensive analysis we discover more than one possible mechanism of this phenomenon .
Edit intent: clarity
Original: Mobile offloading is an effective way that migrates computation-intensive parts of applications from resource-constrained mobile devices onto remote resource-rich servers  . Application partitioning plays a critical role in high-performance offloading systems, which involves splitting the execution of applications between the mobile side and cloud side so that the total execution cost is minimized.
Revised: Mobile cloud offloading that migrates computation-intensive parts of applications from resource-constrained mobile devices onto remote resource-rich servers . Application partitioning plays a critical role in high-performance offloading systems, which involves splitting the execution of applications between the mobile side and cloud side so that the total execution cost is minimized.
Edit intent: clarity
Original: Mobile offloading is an effective way that migrates computation-intensive parts of applications from resource-constrained mobile devices onto remote resource-rich servers  . Application partitioning plays a critical role in high-performance offloading systems, which involves splitting the execution of applications between the mobile side and cloud side so that the total execution cost is minimized.
Revised: Mobile offloading is an effective way that migrates computation-intensive parts of applications from resource-constrained mobile devices onto remote resource-rich servers , is an effective way to shorten response time and extend battery life of mobile devices . Application partitioning plays a critical role in high-performance offloading systems, which involves splitting the execution of applications between the mobile side and cloud side so that the total execution cost is minimized.
Edit intent: meaning-changed
Original:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a new min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal application partitioning (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different partitioning cost models and mobile environments.
Revised:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a novel min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal application partitioning (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different partitioning cost models and mobile environments.
Edit intent: clarity
Original:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a new min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal application partitioning (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different partitioning cost models and mobile environments.
Revised:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a new min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal partitioning plan (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different partitioning cost models and mobile environments.
Edit intent: clarity
Original:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a new min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal application partitioning (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different partitioning cost models and mobile environments.
Revised:  For general tasks (i.e., arbitrary topological consumption graphs), we propose a new min-cost offloading partitioning (MCOP) algorithm that aims at finding the optimal application partitioning (determining which portions of the application to run on mobile devices and which portions on cloud servers) under different cost models and mobile environments.
Edit intent: clarity
Original: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching) geometric Brownian motion , where both the drift and diffusion coefficients depend on an independent continuous-time finite-state Markov chain.
Revised: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Edit intent: meaning-changed
Original: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Revised: We characterize the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Edit intent: clarity
Original: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Revised: We study the price of an Asian option, a financial contract, as a fixed-point of a non-linear operator. In recent years, there has been interest in incorporating changes of regime into the parameters describing the evolution of the underlying asset price, namely the interest rate and the volatility, to model sudden exogenous events in the economy. Asian options are particularly interesting because the payoff depends on the integrated asset price. We study the case of both floating- and fixed-strike Asian call options with arithmetic averaging when the asset follows a regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Edit intent: meaning-changed
Original: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Revised: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Edit intent: fluency
Original: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion and both the interest rate and diffusion coefficient depend on an independent continuous-time finite-state Markov chain.
Revised: We study the price of Asian options with floating-strike when the underlying asset price follows a Markov-modulated (or regime-switching ) geometric Brownian motion with coefficients that depend on a Markov chain.
Edit intent: clarity
Original:  Results: Here we propose a novel methodology called MITHrIL (Mirna enrIched paTHway Impact anaLysis) for the analysis of signaling pathways . MITHrIL extends pathways by adding missing regulatory elements, such as microRNAs, and their interactions with genes.
Revised:  Results: Here we propose a novel methodology called MITHrIL (Mirna enrIched paTHway Impact anaLysis) for the analysis of signaling pathways , which has built on top of the work of Tarca et al., 2009. MITHrIL extends pathways by adding missing regulatory elements, such as microRNAs, and their interactions with genes.
Edit intent: meaning-changed
Original:  The method takes as input the expression values of genes and/or microRNAs and returns a list of pathways sorted according to their deregulation degee , together with the corresponding statistical significance (p-values).
Revised:  The method takes as input the expression values of genes and/or microRNAs and returns a list of pathways sorted according to their deregulation degree , together with the corresponding statistical significance (p-values).
Edit intent: fluency
Original: Unlike traditional materials, living cells actively generate forces at the molecular scale that change their structure and mechanical properties. This nonequilibrium activity is essential for cellular function, and drives processes such as cell division. Single molecule studies have uncovered the detailed force kinetics of isolated motor proteins in-vitro , however their behavior in-vivo has been elusivedue to the complex environment inside the cell .
Revised: Active diffusion of intracellular components is emerging as an important process in cell biology. This process is mediated by complex assemblies of molecular motors and cytoskeletal filaments that drive force generation in the cytoplasm and facilitate enhanced motion. The kinetics of molecular motors have been precisely characterized in-vitro , however their behavior in-vivo has been elusivedue to the complex environment inside the cell .
Edit intent: clarity
Original:  Here, we quantify active force generation in living oocytesusing in-vivo optical trapping and laser interferometry of endogenous vesicles. We integrate an experimental and theoretical framework to connect mesoscopic measurements of nonequilibrium properties to the underlying molecular-scale force kinetics .
Revised:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to connect mesoscopic measurements of nonequilibrium properties to the underlying molecular-scale force kinetics .
Edit intent: meaning-changed
Original:  We integrate an experimental and theoretical framework to connect mesoscopic measurements of nonequilibrium properties to the underlying molecular-scale force kinetics . Our results show that force generation by myosin-V drives the cytoplasmic-skeleton out-of-equilibrium (at frequencies below 300 Hz) and actively softens the environment. In vivo myosin-V activity generates a forceof F \sim 0.4 pN, with a power-stroke of length \Delta x \sim 20 nm and duration \tau \sim 300 \mus , that drives vesicle motion at v_v \sim 320 nm/s.
Revised:  We integrate an experimental and theoretical framework to connect mesoscopic measurements of nonequilibrium properties to the underlying molecular-scale force kinetics in-vivo (motor force, power-stroke of length \Delta x \sim 20 nm and duration \tau \sim 300 \mus , that drives vesicle motion at v_v \sim 320 nm/s.
Edit intent: clarity
Original:  In vivo myosin-V activity generates a forceof F \sim 0.4 pN, with a power-stroke of length \Delta x \sim 20 nm and duration \tau \sim 300 \mus , that drives vesicle motion at v_v \sim 320 nm/s.
Revised:  In vivo myosin-V activity generates a forceof F \sim 0.4 pN, with a power-stroke , and velocity). We find that myosin-V induces rapid kicks of duration \tau \sim 300 \mus , that drives vesicle motion at v_v \sim 320 nm/s.
Edit intent: meaning-changed
Original:  In vivo myosin-V activity generates a forceof F \sim 0.4 pN, with a power-stroke of length \Delta x \sim 20 nm and duration \tau \sim 300 \mus , that drives vesicle motion at v_v \sim 320 nm/s. This framework is widely applicable to quantify nonequilibrium properties of living cells and other soft active materials .
Revised:  In vivo myosin-V activity generates a forceof F \sim 0.4 pN, with a power-stroke of length \Delta x \sim 20 nm and duration \tau \sim 300 \mus resulting in an average force of F \sim 0.4 pN on vesicles. Our results reveal that measuring in-vivo active fluctuations allows extraction of the underlying molecular motor activity and demonstrates a widely applicable mesoscopic framework to access molecular-scale force kinetics .
Edit intent: clarity
Original:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics in-vivo (motor force, power-stroke, and velocity) .
Revised:  Here, we study the active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics in-vivo (motor force, power-stroke, and velocity) .
Edit intent: clarity
Original:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics in-vivo (motor force, power-stroke, and velocity) .
Revised:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics ( force, power-stroke, and velocity) .
Edit intent: clarity
Original:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics in-vivo (motor force, power-stroke, and velocity) . We find that myosin-V induces rapid kicks of duration \tau \sim 300 \mus resulting in an average force of F \sim 0.4 pN on vesicles  .
Revised:  Here, we study the myosin-V driven active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics in-vivo (motor force, power-stroke, and velocity) of the in-vivo active process. Assuming a single dominant process, we find that the nonequilibrium activity induces rapid kicks of duration \tau \sim 300 \mus resulting in an average force of F \sim 0.4 pN on vesicles .
Edit intent: meaning-changed
Original:  We find that myosin-V induces rapid kicks of duration \tau \sim 300 \mus resulting in an average force of F \sim 0.4 pN on vesicles  .
Revised:  We find that myosin-V induces rapid kicks of duration \tau \sim 300 \mus resulting in an average force of F \sim 0.4 pN on vesicles in in-vivo oocytes, remarkably similar to the kinetics of in-vitro myosin-V .
Edit intent: meaning-changed
Original:  Since BSDEs are non-linear generalizations of the traditional (linear) expectations, this problem can be understood as stochastic control of a family of nonlinear expectations, or equivalently of nonlinear kernels.
Revised:  Since BSDEs are nonlinear generalisations of the traditional (linear) expectations, this problem can be understood as stochastic control of a family of nonlinear expectations, or equivalently of nonlinear kernels.
Edit intent: fluency
Original:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Revised:  Then we prove a nonlinear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Edit intent: fluency
Original:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Revised:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 71 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Edit intent: meaning-changed
Original:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Revised:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a super-hedging duality in uncertain, incomplete and non-linear financial markets.
Edit intent: fluency
Original:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and non-linear financial markets.
Revised:  Then we prove a non-linear optional decomposition in a robust setting, extending recent results of [ 63 ], which we then use to obtain a superhedging duality in uncertain, incomplete and nonlinear financial markets.
Edit intent: fluency
Original: In any physically constructible network there is a structure-function relationship between the geometry of the network and its dynamics. The network's geometry, i.e. its physical structure, constrains and bounds signaling and the flow of information through the network. In this paper we explore how the physical geometry of a network constrains and ultimately determines its dynamics. We construct a formal theoretical framework of the relationship between network structure and function and how information flows through a network. We show how a strictly local process at the scale of individual node pairs directly affects the behavior of the system at the whole network scale.
Revised: The functional and computational power of a network emerges as a property of the system operating as a coherent whole at a global scale, not at the scale of individual nodes. A natural question to ask is what are the physical principles that allow a collection of nodes to interact in such a way that they produce emergent global network dynamics? There is in general a lack of sufficient theory capable of providing insights into universal physical principles that bridge individual node dynamics to the behavior of the system at the whole network scale.
Edit intent: coherence