Quantum Computing by Cooling

Interesting problems in quantum computation take the form of finding low-energy states of spin systems with engineered Hamiltonians that encode the problem data. Motivated by the practical possibility of producing very low-temperature spin systems, we propose and exemplify the possibility to compute by coupling the computational spins to a non-Markovian bath of spins that serve as a heat sink. We demonstrate both analytically and numerically that this strategy can achieve quantum advantage in the Grover search problem.Comment: 6 figure

Food‐borne polyphenols: A biocompatible anchor recuperating iron homeostasis

Abstract Food‐borne polyphenols have long contributed to human health via multifaceted mechanisms, while emerged studies especially those published in recent 10 years have witnessed the close relevance between the bioactivity of polyphenols with iron homeostasis. Polyphenols are involved in various physiological processes of iron and manifest with multidirectional regulative effects. The diversiform polyphenols–iron interactions have extended the cognition of various disorders and diseases. This review aims to present a comprehensive scope of polyphenols–iron interactions, and the structural property, biological effects, and molecular mechanism of polyphenols on iron homeostasis were systematically illustrated, categorized, exemplified, and discussed. Multiple related disorders and diseases were focused on, and the specific polyphenols–iron interactions were elucidated during the processes of pathogenesis, development, intervention, and treatment. Present shortages such as bidirectional effects, unclear mechanism, clinical challenges, and extraction efficiency of polyphenols were also analyzed, and some innovative techniques adopted for polyphenols–iron‐based systems or therapies explorations were discussed, inspiring future perspectives for the understandings, exploitations, and correlations of both iron homeostasis and polyphenols. This review brings the polyphenols–iron interactions on the stage, telling the full story of how polyphenols anchor iron to achieve beneficial bioactivities, enlightening ideas for polyphenols–iron interactions‐based understanding of diseases, and illumining strategies for polyphenols as dietary adjuvant or future therapeutic agents for iron‐related physiological abnormality

Field Study on Earth Pressure of Finite Soil Considering Soil Displacement

The classical earth pressure theory assumes a semi-infinite soil behind the wall, which is no longer applicable to the problem of earth pressure in the case of finite soil. A field study was conducted to investigate the earth pressure of finite soil at different excavation depths. The earth pressure cells were used to measure the change in earth pressure along the depth, and the measured earth pressures were compared with the calculation results for finite soil. Moreover, the influence of the width-to-depth ratio, cohesion, and internal friction angle on the earth pressure of finite soil was also analyzed based on the theoretical calculation method. The research results show that compared with the Rankine active earth pressure, the active earth pressure of finite soil was more suitable for the calculation of earth pressure for a finite soil situation. The difference in the earth pressure of finite soil under different width-to-depth ratios would increase with depth, while the cohesion and internal friction angle had little effect on the earth pressure of finite soil

An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework

Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule. However, more and more data bring a challenge for data management and data mining. In order to meet this challenge, under the framework of Wisdom Web of Things (W2T), we design a monitoring system for the SBS by using the semantic and the multisource data fusion technologies. This system establishes a dynamical data cycle among the physical world (buildings), the social world (humans), and the cyber world (computers) and provides various services in the monitoring process to alleviate engineers' workload. Furthermore, all data in the cyber world are organized as the raw data, the semantic information, and the multisource knowledge. Based on this organization, we can concentrate on the data fusion from the viewpoints of time, space, and multisensor. At last, a prototype system powered by the semantic platform LarKC is tested from the aspects of sample performance and time consumption. In particular, noisy data (i.e., inconsistent, abnormal, or error data) are detected through the fusion of multisource knowledge, and some rule-based reasoning is conducted to provide personalized service

A Novel Method for Testing the Effect of Base Post-Grouting of Super-Long Piles

The base post-grouting technology is widely used in pile foundation engineering to improve its behavior. For super-long piles, due to the large compression of pile shaft, conventional static load tests cannot effectively test the effect of post-grouting at the pile base. This study introduced a novel method to test the effect of base post-grouting of three 88 m long piles. A total of three test piles were grouted at the bottom of the piles. The grouting amount of the No. 1 pile was 500 kg, the No. 2 pile was 250 kg, and the No. 3 pile was 0 kg. The transmitted wave method in the pile and dynamic penetration method were used in combination to quantitatively evaluate the effect of base post-grouting on the soil below the pile base. The influencing range of base post-grouting was firstly evaluated by the transmitted wave method in the pile, and the strength of the soil before and after grouting under the same pile base was measured by the dynamic penetration method. The test results showed that: the depth of the pile base reinforcement was 2 m for No. 1 pile, and 1 m for No. 2 pile, which was consistent with the grouting amount; the elastic modulus of the soil below the pile base after base post-grouting was about twice that of the soil before base post-grouting; the strength of the soil below pile base was largely improved after grouting; and the bearing capacity of the base soil layer increased from 35.5% to 41.7% when the grouting amount increased from 250 kg to 500 kg

A pan-cancer analysis uncovering the function of CRHBP in tumor immunity, prognosis and drug response: especially its function in LIHC

Abstract Corticotropin-releasing hormone-binding protein (CRHBP) is involved in many physiological processes. However, it is still unclear what role CRHBP has in tumor immunity and prognosis prediction. Using databases such as the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Tumor Protein Database, Timer Database, and Gene Expression Profiling Interactive Analysis (GEPIA), we evaluated the potential role of CRHBP in diverse cancers. Further research looked into the relationships between CRHBP and tumor survival prognosis, immune infiltration, immune checkpoint (ICP) indicators, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), DNA methylation, tumor microenvironment (TME), and drug responsiveness. The anticancer effect of CRHBP in liver hepatocellular carcinoma (LIHC) was shown by Western blotting, EdU staining, JC-1 staining, transwell test, and wound healing assays. CRHBP expression is significantly low in the majority of tumor types and is associated with survival prognosis, ICP markers, TMB, and microsatellite instability (MSI). The expression of CRHBP was found to be substantially related to the quantity of six immune cell types, as well as the interstitial and immunological scores, showing that CRHBP has a substantial impact in the TME. We also noticed a link between the IC50 of a number of anticancer medicines and the degree of CRHBP expression. CRHBP-related signaling pathways were discovered using functional enrichment. Cox regression analysis showed that CRHBP expression was an independent prognostic factor for LIHC. CRHBP has a tumor suppressor function in LIHC, according to cell and molecular biology trials. CRHBP has a significant impact on tumor immunity, treatment, and prognosis, and has the potential as a cancer treatment target and prognostic indicator

Preparation and Drug Release Study of Novel Nanopharmaceuticals with Polysorbate 80 Surface Adsorption

Most free drugs that cross the blood–brain barrier are characterized by high liposolubility, but they often have limited clinical applications because of poor dissolution and poor bioavailability. In this study, we prepared donepezil drug-loaded nanoparticles (DZP) with cholesterol-modified pullulan (CHP) as the nanocarrier (DZP-CHP) and surface modified the drug-loaded nanoparticles to improve the water solubility of donepezil while enhancing its targeting and sustained release. We determined the drug loading and encapsulation efficiency of DZP-CHP nanoparticles at different feed ratios. The mean ± SD drug loading and entrapment efficiency were high: 13.52 ± 2.03 and 86.54 ± 1.31. On dynamic light-scattering measurement, mean ± SD particle size was 260.7 ± 1.76 nm, polydispersity index 0.123 ± 0.004, and zeta potential −5.75 ± 0.64 mV. DZP-CHP nanoparticles prepared with the optimal feed ratio (DZP : CHP = 1 : 5) were coated with polysorbate 80, and the adsorption process was determined by isothermal titration calorimetry. We found good affinity between polysorbate 80 and DZP-CHP, with mean ± SD coverage 2.7 ± 0.372. The mean ± SD drug loading and entrapment efficiency of polysorbate 80-emulsified DZP-CHP nanoparticles were 8.25 ± 1.80 and 91.28 ± 4.57, respectively, and the proportion of drug released by 72 h was 42.71%. Compared to DZP-CHP alone, PS-DZP-CHP can enhance the release of donepezil

A Monitoring System for the Safety of Building Structure Based on W2T Methodology

With the development of the Internet of things, monitoring systems for the safety of building structure (SBS) provide people with the important data about the main supporting points in the buildings. More and more data give the engineers an overload work problem, which can be solved by a systematic method making these monitoring systems more reliable, efficient and intelligent. Under the framework of the Wisdom Web of Things (W2T), we design a monitoring system for the SBS, by using the semantic technology. This system establishes a data cycle among the physical world (buildings), the social world (humans) and the cyber world (computers), and provides various services in the monitoring process to alleviate the engineers’ workload. In this system, the sensors which are connected via cable or wireless way, are used to monitor the different parameters of building structure. The semantic data can be obtained and represented by RDF to describe the meanings of sensor data, and can provide the application background for users. LarKC, a platform for scalable semantic data processing, is used for semantic querying about the data. Based on this uniform representation of data and semantic processing, intelligent services can be provided by the effective data analysis. This provides the possibility to integrate all of the monitoring systems for the safety of building structure in urban computing