Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting excited states from ground state wavefunction by supervised quantum machine learning

Excited states of molecules lie in the heart of photochemistry and chemical reactions. The recent development in quantum computational chemistry leads to inventions of a variety of algorithms that calculate the excited states of molecules on near-term quantum computers, but they require more computational burdens than the algorithms for calculating the ground states. In this study, we propose a scheme of supervised quantum machine learning which predicts the excited-state properties of molecules only from their ground state wavefunction resulting in reducing the computational cost for calculating the excited states. Our model is comprised of a quantum reservoir and a classical machine learning unit which processes the measurement results of single-qubit Pauli operators with the output state from the reservoir. The quantum reservoir effectively transforms the single-qubit operators into complicated multi-qubit ones which contain essential information of the system, so that the classical machine learning unit may decode them appropriately. The number of runs for quantum computers is saved by training only the classical machine learning unit, and the whole model requires modest resources of quantum hardware that may be implemented in current experiments. We illustrate the predictive ability of our model by numerical simulations for small molecules with and without noise inevitable in near-term quantum computers. The results show that our scheme reproduces well the first and second excitation energies as well as the transition dipole moment between the ground states and excited states only from the ground states as inputs. We expect our contribution will enhance the applications of quantum computers in the study of quantum chemistry and quantum materials.
Physical layer security in light-fidelity systems

Light-fidelity (LiFi) is a light-based wireless communication technology which can complement radio-frequency (RF) communication technologies for indoor applications. Although LiFi signals are spatially more contained than RF signals, the broadcasting nature of LiFi also makes it susceptible to eavesdropping. Therefore, it is important to secure the transmitted data against potential eavesdroppers. In this paper, an overview of the recent developments pertaining to LiFi physical layer security (PLS) is provided, and the main differences between LiFi PLS and RF PLS are explained. LiFi achievable secrecy rates and upper bounds are then investigated under practical channel models and transmission schemes. Beamforming and jamming, which received significant research attention recently as a means to achieve PLS in LiFi, are also investigated under indoor illumination constraints. Finally, future research directions of interest in LiFi PLS are identified and discussed. This article is part of the theme issue ‘Optical wireless communication’.
Impact of BAFF Blockade on Inflammation, Germinal Center Reaction and Effector B-Cells During Acute SIV Infection

Memory B-cell dysfunctions and inefficient antibody response suggest germinal center (GC) impairments during HIV/SIV infection with possible contribution of overproduced B-cell activating factor (BAFF). To address this question, we compared proportions and functions of various B-cell subsets and follicular helper T-cells (TFH) in untreated (Placebo) and BR3-Fc treated (Treated) SIV-infected macaques. From day 2 post-infection (dpi), Treated macaques received one weekly injection of BR3-Fc molecule, a soluble BAFF antagonist, for 4 weeks. Whereas, the kinetics of CD4+ T-cell loss and plasma viral loads were comparable in both groups, BAFF blockade delayed the peak of inflammatory cytokines (CXCL10, IFNα), impaired the renewal of plasmacytoid dendritic cells and fostered the decline of plasma CXCL13 titers after 14 dpi. In Treated macaques, proportions of total and naïve B-cells were reduced in blood and spleen whereas SIV-induced loss of marginal zone (MZ) B-cells was only accentuated in blood and terminal ileum. Proportions of spleen GC B-cells and TFH were similar in both groups, with CD8+ T-cells and rare Foxp3+ being present in spleen GC. Regardless of treatment, sorted TFH produced similar levels of IL21, CXCL13, and IFNγ but no IL2, IL4, or BAFF and exhibited similar capacities to support IgG production by autologous or heterologous B-cells. Consistently, most TFH were negative for BAFF-R and TACI. Higher proportions of resting and atypical (CD21lo) memory B-cells were present in Treated macaques compared to Placebo. In both groups, we found higher levels of BAFF-R expression on MZ and resting memory B-cells but low levels on atypical memory B-cells. TACI was present on 20-30% of MZ, resting and atypical memory B-cells in Placebo macaques. BAFF blockade decreased TACI expression on these B-cell subsets as well as titers of SIV-specific and vaccine-specific antibodies arguing for BAFF being mandatory for plasma cell survival. Irrespective of treatment, GC B-cells expressed BAFF-R at low level and were negative for TACI. In addition to key information on spleen BAFF-R and TACI expression, our data argue for BAFF contributing to the GC reaction in terminal ileum but being dispensable for the generation of atypical memory B-cells and GC reaction in spleen during T-dependent response against SIV.
Insights About Circadian Clock and Molecular Pathogenesis in Gliomas

The circadian clock is an endogenous time-keeping system that has been discovered across kingdoms of life. It controls and coordinates metabolism, physiology, and behavior to adapt to variations within the day and the seasonal environmental cycles driven by earth rotation. In mammals, although circadian rhythm is controlled by a set of core clock genes that are present in both in suprachiasmatic nucleus (SCN) of the hypothalamus and peripheral tissues, the generation and control of the circadian rhythm at the cellular, tissue, and organism levels occurs in a hierarchal fashion. The SCN is central pacemaker comprising the principal circadian clock that synchronizes peripheral circadian clocks to their appropriate phase. Different epidemiological studies have shown that disruption of normal circadian rhythm is implicated in increasing the risk of developing cancers. In addition, deregulated expression of clock genes has been demonstrated in various types of cancer. These findings indicate a close association between circadian clock and cancer development and progression. Here, we review different evidences of this association in relation to molecular pathogenesis in gliomas.
Mechanisms of Timing, Timbre, Repertoire, and Entrainment in Neuroplasticity: Mutual Interplay in Neonatal Development

Neonatal brain development relies on a combination of critical factors inclusive of genetic predisposition, attachment, and the conditions of the pre and postneonatal environment. The status of the infant’s developing brain in its most vulnerable state and the impact that physiological elements of music, silences and sounds may make in the earliest stages of brain development can enhance vitality. However, little attention has been focused on the integral aspects of the music itself. This article will support research that has hypothesized conditions of music therapeutic applications in an effort to further validate models of neurobehavioral care that have optimized conditions for growth, inclusive of recommendations leading toward the enhancement of self-regulatory behaviors.
A Bioinspired Dynamics-Based Adaptive Fuzzy SMC Method for Half-Car Active Suspension Systems With Input Dead Zones and Saturations

Active suspension systems are widely used in vehicles to improve ride comfort and handling performance. However, existing control strategies may be limited by various factors, including insufficient consideration of different operation conditions, such as changing in vehicle mass, defects in strategy design leading to incapability for guaranteeing finite-time stability, lack of considering input effects of dead zone and saturation, excessive energy cost, etc. Importantly, very few results considered the energy-saving performance of active suspension systems although a well-perceived issue in practice. An adaptive fuzzy SMC method based on a bioinspired reference model is established in this article, which is to purposely address these problems and be able to provide finite-time convergence and energy-saving performance simultaneously. The proposed control method effectively utilizes beneficial nonlinear stiffness and nonlinear damping properties that the bioinspired reference model could provide. Therefore, superior vibration suppression performance with less energy consumption and improved ride comfort can all be obtained readily. By using a fuzzy-logic system (FLS), the proposed method is beneficial in compensating for system parameter uncertainties, external disturbances, input dead zones, and saturations. Furthermore, based on the adaptive PD-SMC method, the tracking errors can converge to zeros in finite time. The stability of the equilibrium point of all the states in active suspension systems is theoretically proven by Lyapunov techniques. Finally, simulation results are provided to verify the correctness and effectiveness of the proposed control scheme.
Information Granulation-Based Fuzzy Clustering of Time Series

In this article, we propose a two-stage time-series clustering approach to cluster time series with different shapes. The first step is to represent the time series by a suite of information granules following the principle of justifiable granularity to perform dimensionality reduction, while the second step is to realize the fuzzy clustering of the time series in the transformed representation space (viz., the space of information granules). In the dimensionality reduction process, the numerical data are granulated using a collection of information granules forming a new sequence that can well describe the original time series. Then, when clustering the time series, dynamic time warping (DTW) is employed to measure the similarity between time series and DTW barycenter averaging (DBA) is generalized to weighted DBA to be involved in the fuzzy ${C}$ -means (FCMs) algorithm. Finally, the experiments are conducted on the datasets coming from UCR time-series database and Chinese stocks to demonstrate the effectiveness and advantages of the proposed fuzzy clustering approach.
The Actions of Nervous System Drugs on Cell Membranes

The two extreme forms of drug action at the level of the cell membrane are exemplified by anesthetic-analgesics, which are nonspecific and appear to depend largely on their physical ability to enter the membrane, and by opiate narcotics, which act specifically, requiring distinctive chemical receptors. Tranquilizers may have both actions. The mechanisms involved are described.
A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning

Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally important and challenging task because of its asymptomatic and episodic nature. In this paper, state-of-the-art ECG data-based machine learning models and signal processing techniques applied for auto diagnosis of AF are reviewed. Moreover, key biomarkers of AF on ECG and the common methods and equipment used for the collection of ECG data are discussed. Besides that, the modern wearable and implantable ECG sensing technologies used for gathering AF data are presented briefly. In the end, key challenges associated with the development of auto diagnosis solutions of AF are also highlighted. This is the first review paper of its kind that comprehensively presents a discussion on all these aspects related to AF auto-diagnosis in one place. It is observed that there is a dire need for low energy and low cost but accurate auto diagnosis solutions for the proactive management of AF.
Reduced Adaptive Fuzzy Decoupling Control for Lower Limb Exoskeleton

This article reports our study on a reduced adaptive fuzzy decoupling control for our lower limb exoskeleton system which typically is a multi-input–multi-output (MIMO) uncertain nonlinear system. To show the applicability and generality of the proposed control methods, a more general MIMO uncertain nonlinear system model is considered. By decoupling control, the entire MIMO system is separated into several MISO subsystems. In our experiments, such a system may have problems (even unstable) if a traditional fuzzy approximator is used to estimate the complicated coupling terms. In this article, to overcome this problem, a reduced adaptive fuzzy system together with a compensation term is proposed. Compared to traditional approaches, the proposed fuzzy control approach can reduce possible chattering phenomena and achieve better control performance. By employing the proposed control scheme to an actual 2-DOF lower limb exoskeleton rehabilitation robot system, it can be seen from the experimental results that, as expected, it has good performance to track the model trajectory of a human walking gait. Therefore, it can be concluded that the developed approach is effective for the control of a lower limb exoskeleton system.
Isolation and Purification of Lactobacillus acidophilus Extracellular Proteins and Their Inhibitory Effect on the Proliferation of HT-29 Cells

贾彦,任效东,江岩,明珠,赵培,庞广昌,阎亚丽,陈庆森 (天津商业大学生物技术与食品科学学院,天津市食品生物技术重点实验室,天津 300134) 摘要:为探讨嗜酸乳杆菌(Lactobacillus acidophilus)分泌的相关蛋白质及其促进肠道稳态的功能作用,本研究以 L. acidophilus 作为研究对象,固体培养获得胞外蛋白粗提液,采用 Sephadex G-100 凝胶层析纯化,收集胞外蛋白各组分,用考马斯亮蓝法和 SDS-PAGE 方法分别测定各蛋白组分的含量及分子量,然后采用四氮唑蓝比色分析法(MTT 法)鉴定各蛋白组分抑制 HT-29 细胞增殖 的能力。 研究显示,分离 L. acidophilus 胞外蛋白获得两个蛋白峰,分子量分别为 67 ku 和 37 ku,含量分别为 0.066 mg/mL 和 0.021 mg/mL,不同浓度(0.001 μg/mL、0.01 μg/mL、0.1 μg/mL 和 1 μg/mL)的 67 ku 和 37 ku 胞外蛋白分别对 HT-29 细胞作用 12 h、24 h、 48 h 和 72 h,均显示抑制细胞增殖的作用,且呈现明显的量效关系和时间依赖效应,其中 1 μg/mL 的 67 ku 和 37 ku 胞外蛋白对 HT-29 细胞作用 48 h 的抑制率分别为(38.41±1.94)%和(45.06±1.58)%。 综上所述,固体培养 L. acidophilus 可获得两种胞外蛋白(即 37 ku 和 67 ku),其对 HT-29 细胞增殖具有不同程度的抑制作用,其中 37 ku 胞外蛋白的抑制作用较强。 关键词:嗜酸乳杆菌;胞外蛋白;HT-29 结肠癌细胞;抑制作用 文章篇号:1673-9078(2016)11-56-62 DOI: 10.13982/j.mfst. 1673-9078.2016. 11.009
Neural and Behavioural Consequences of Chronic Inflammation following Spinal Cord Injury

Neural and Behavioural Consequences of Chronic Inflammation following Spinal Cord Injury David Allison Advisor: Brock University, 2016 Dr. D.S. Ditor This thesis investigated the influence of chronic inflammation on several neural/behavioural disorders following spinal cord injury (SCI) including depression, cognitive impairment, neuropathic pain, and somatic nerve deficits. Ample evidence exists to suggest that the immune system communicates with, and influences the nervous system both centrally and peripherally. Pro-inflammatory cytokines have been shown to influence the nervous system directly by altering ion channel kinetics, as well as indirectly by altering enzyme function thereby resulting in changes in critical neuroactive compounds. Proinflammatory mediators have been shown to up-regulate the enzyme indoleamine 2,3 dioxygenase (IDO) resulting in the accelerated degredation of serotonin precursor tryptophan (TRP) and increased production of TRP metabolites such as kynurenine (KYN). They have also been shown to upregulate the enzyme cyclooxygenase (COX) resulting in the increased production of pain inducing eicosanoids such as prostaglandin E2 (PGE2). Immune dysfunction in the form of chronic inflammation may therefore contribute to the severity of behavioural disorders such as depression and cognitive impairment, as well as neural disorders such neuropathic pain and somatic nerve deficits. SCI is typically associated with not only a state of chronic inflammation but also a drastically higher prevalence of each of the aforementioned neural and behavioural disorders. This makes SCI an ideal population to study the interaction between the immune and nervous systems, and assess the potential
High-Resolution Time-of-Flight Measurements of the Lattice Parameter and Thermal Expansion of the Icosahedral Phase A162Cu2s.sFe12_~

The lattice parameter of the stable icosahedral phase A162Cu25.sFe~z.5 has been accurately measured over a wide temperature range from liquid nitrogen up to 873 K by powder diffraction. The experiment has been carried out on the High-Resolution Powder Diffractometer time-of-flight instrument at the ISIS spallation source and a particular analysis of the peak profiles is given. The thermal-expansion coefficient at room temperature of the i-AICuFe is half the value of pure aluminium but its temperature dependence is the same.
Vertical Heterojunctions Based on Ferromagnetic Graphene and Ferroelectric Tunnel Barrier

Numerous studies of graphene-based vertical heterostructure have been devoted to the electronic applications making use of the extraordinary properties of graphene. Such layered structures have been proposed as a prototype field-effect transistor by using vertical quantum tunneling. [1,2] Since the range of possible candidates is almost infinite in nature, there are many combinations of layered materials to create novel heterostructures. Here, we predict the emergence of giant resistance in a vertically stacked heterojunction based on ferromagnetic graphene (FMG) with spin-resolved band structures. [3] We investigate tunneling current characteristics through atomically thin insulating layer sandwiched by two FMGs. Owing to the spinresolved band structures of FMG, spin configuration of FMGs can be controlled by electric fields, and quantum tunneling through FMG heterojunctions can be suppressed by giant electroresistance in ferroelectric tunnel junctions. [4]
The relationship between patient engagement and health-related quality of life in patients: a cross-sectional study in general outpatient clinic in Hong Kong SAR, China

Introduction: Patient engagement (PE) helps healthcare professionals to collaborate with patients to work together to improve health outcomes. However, the studies of PE and its relationship with health-related quality of life (HRQoL) is very rare in Hong Kong (HK) and China. The aim of this study was to assess the PE level and its association with HRQoL in the general outpatient clinic (GOPC) in Hong Kong. Methods: A cross-sectional survey was conducted in a GOPC in 2017. Patient engagement index (PEI) was used as a valid and reliable instrument to assess the PE level in the primary care setting. EQ-5D-5L HK Chinese version was used to evaluate the patients ’ HRQoL. ANOVA, ANCOVA and robust linear regression were used to analyse the data. Results: 686 patients successfully completed the survey (response rate =64%). The mean utility of EQ-5D (0~1.0) was 0.92. Male, highly educated and younger respondents got higher utility. For PEI (0~100), the mean score was 37.02, whereas female (38.03), highly educated and younger respondents performed better. The regression model indicated that there is a positive relationship between PE and HRQoL (beta =2.66, SE =5.11, p <0.05). However, after adjusting a series of socio-economic characteristics, the relationship was weakened (beta =1.77, SE =4.64, p <0.05) and even insigni ﬁ cant. Conclusion: This is the ﬁ rst study in HK to assess the PE level and its relationship with HRQoL in the primary care setting. The result indicated that improve PE could bring a positive in ﬂ uence on the HRQoL. However, the PE-HRQoL relationship might be deeply in ﬂ uenced by an individual ’ s physical, psychological or social characteristics.
EXPERIMENTAL STUDY OF THE FLOW PAST A ROW OF REGULARLY SPACED TUBES-FOURIER AND WAVELET CHARACTERISTICS

Abstract. The behaviour of turbulent flows past a row of tubes of equal diameter and regularly spaced was experimentally studied in a wind tunnel assembly using hot wire anemometry and a pressure transducer. Flows past a row of tubes are observed in many engineering fields, like energy and process industies and oil prospecting. In heat exchangers, the undisturbed incident flow is set by the first row of tubes, generating the flow structures that travel through the bank until the fully turbulence dominates. Traditional Fourier analysis and the more recent wavelet analysis were used to characterize the flow phenomena. This paper presents the characterization of the flow just next a row of tubes of pitch to diameter ratio of 1.26, considered in the literature as a transition geometry where the behaviour of the flow can be unstable.
Social Networking Management To Enhance Thailand Destination Image

This preliminary research studies the dimension of social network site management. It is part of a bigger research project which aims to investigate the influence of social network site management on the creation of destination image of Thailand. As the power of social media in the tourism industry has become stronger, it is important to understand its influence on destination image creation. This part of research confirms three factors that can be considered main components of social site network management that are influential to tourists’ decision to use social network sites to find travelling tips/ other tourism information.
Research Vaccination against tuberculosis in badgers and cattle: an overview of the challenges, developments and current research priorities in Great Britain. MA Chambers et al. Veterinary Record 91. Published July 26 2014

Bovine tuberculosis (TB) is a significant threat to the cattle industry in England and Wales. It is widely acknowledged that a combination of measures targeting both cattle and wildlife will be required to eradicate bovine TB or reduce its prevalence until European official freedom status is achieved. Vaccination of cattle and/or badgers could contribute to bovine TB control in Great Britain, although there are significant gaps in our knowledge regarding the impact that vaccination would actually have on bovine TB incidence. Laboratory studies have demonstrated that vaccination with BCG can reduce the progression and severity of TB in both badgers and cattle. This is encouraging in terms of the prospect of a sustained vaccination programme achieving reductions in disease prevalence; however, developing vaccines for tackling the problem of bovine TB is challenging, time-consuming and resource-intensive, as this review article sets out to explain.
A Monte Carlo Solution for Stochastic Programming Problems with Recourse

This paper describes and evaluates numerical models for the solution of stochastic programming problems with recourse. However the emphasis is given to the mathematical characterization of the joint distribution of the random parameters associated to the data of the problem. In this respect, two different approaches are used. When the joint probability distribution is characterized by one or two random factors, lattice techniques can be used to substitute continues distributions by discrete ones with good accuracy. Thought, in general, the Monte Carlo approach is the only alternative to deal with more complex distributions. The details for the inclusion of this approach in the solution methodologies developed with the lattice approach are the main subject of this study. It is concluded that with the Monte Carlo approach the number of factors of uncertainty of the problem doesn’t influence significantly the efforts to obtain an approximation of the solution.