The quantification and analysis of conversational nuances is a complex and demanding task in the fields of natural language processing and human-computer interaction. In this paper, a novel method for measuring and examining subtle differences in conversational responses is proposed, utilizing the Visual Analog Scale (VAS). Participants were presented with a hypothetical chat scenario and asked to rate their willingness to attend an event based on six distinct reply options using the VAS. The collected data were analyzed using descriptive statistics, data visualization techniques such as violin plots, box plots, bee swarm plots, and hierarchical clustering. The study uncovered significant disparities in participants' responses, as certain answer options yielded greater levels of commitment than others. Using cluster analysis, distinct groups of participants were delineated based on their response tendencies. The integration of VAS, informative visualization techniques, and clustering facilitated a comprehensive, quantitative comprehension of the intricate variations in conversational replies, even with a small sample size.

Wearables that continuously acquire vital and other medically relevant parameters facilitate treatment optimizations for individual patients and reduce the duration of hospitalizations - thus improving the patients' quality of life. To accomplish this, we demonstrate a scalable architecture that connects wearables through a hub to the cloud, combines edge and cloud computing to provide optimal user interaction, and allows analytics on multi-stream data from those connected devices.

We establish the first hardness results for the problem of computing the value of one-round games played by a verifier and a team of provers who can share quantum entanglement. In particular, we show that it is NP-hard to approximate within an inverse polynomial the value of a one-round game with (i) a quantum verifier and two entangled provers or (ii) a classical verifier and three entangled provers. Previously it was not even known if computing the value exactly is NP-hard. We also describe a mathematical conjecture, which, if true, would imply hardness of approximation of entangled-prover games to within a constant. Using our techniques we also show that every language in PSPACE has a two-prover one-round interactive proof system with perfect completeness and soundness $1-1/\,\mathrm{poly}$ even against entangled provers. We start our proof by describing two ways to modify classical multiprover games to make them resistant to entangled provers. We then show that a strategy for the modified game that uses entanglement can be “rounded” to one that does not. The results then follow from classical inapproximability bounds. Our work implies that, unless $\mathrm{P}=\mathrm{NP}$, the values of entangled-prover games cannot be computed by semidefinite programs that are polynomial in the size of the verifier's system, a method that has been successful for more restricted quantum games.

This paper presents three results on the power of two-prover one-round interactive proof systems based on oracularization under the existence of prior entanglement between dishonest provers. It is proved that the two-prover one-round interactive proof system for PSPACE by Cai, Condon, and Lipton [JCSS 48:183-193, 1994] still achieves exponentially small soundness error in the existence of prior entanglement between dishonest provers (and more strongly, even if dishonest provers are allowed to use arbitrary no-signaling strategies). It follows that, unless the polynomial-time hierarchy collapses to the second level, two-prover systems are still advantageous to single-prover systems even when only malicious provers can use quantum information. It is also shown that a "dummy" question may be helpful when constructing an entanglement-resistant multi-prover system via oracularization. This affirmatively settles a question posed by Kempe et al. [FOCS 2008, pp. 447-456] and every language in NEXP is proved to have a two-prover one-round interactive proof system even against entangled provers, albeit with exponentially small gap between completeness and soundness. In other words, it is NP-hard to approximate within an inverse-polynomial the value of a classical two-prover one-round game against entangled provers. Finally, both for the above proof system for NEXP and for the quantum two-prover one-round proof system for NEXP proposed by Kempe et al., it is proved that exponentially small completeness-soundness gaps are best achievable unless soundness analysis uses the structure of the underlying system with unentangled provers.

This paper proves that, if quantum communication and computation are available and the number of parties is given, the leader election problem can exactly (i.e., without error in bounded time) be solved with at most the same complexity up to a constant factor as that of computing certain symmetric functions on an anonymous network of any unknown topology. Together with a novel quantum algorithm that computes a certain symmetric function, this characterization yields a quantum leader election algorithm that is more efficient than existing algorithms.

The central question in quantum multi-prover interactive proof systems is whether or not entanglement shared among provers affects the verification power of the proof system. We study for the first time positive aspects of prior entanglement and show how it can be used to parallelize any multi- prover quantum interactive proof system to a one-round system with perfect completeness, soundness bounded away from 1 by an inverse polynomial in the input size, and one extra proven Alternatively, we can also parallelize to a three-turn system with the same number of provers, where the verifier only broadcasts the outcome of a coin flip. This "public-coin" property is somewhat surprising, since in the classical case public-coin multi-prover interactive proofs are equivalent to single prover ones.

We establish the first hardness results for the problem of computing the value of one-round games played by a referee and a team of players who can share quantum entanglement. In particular, we show that it is NP-hard to approximate within an inverse polynomial the value of a one-round game with (i) quantum referee and two entangled players or (ii) classical referee and three entangled players. Previously it was not even known if computing the value exactly is NP-hard. We also describe a mathematical conjecture, which, if true, would imply hardness of approximation to within a constant.We start our proof by describing two ways to modify classical multi-player games to make them resistant to entangled players. We then show that a strategy for the modified game that uses entanglement can be "rounded'' to one that does not. The results then follow from classical inapproximability bounds. Our work implies that, unless P = NP, the values of entangled-player games cannot be computed by semidefinite programs that are polynomial in the size of the referee's system, a method that has been successful for more restricted quantum games.

This paper proposes a universal distortion-free entanglement concentration protocol. The proposed protocol uses only local operations and no classical communication, but still achieves optimality in such strong senses