Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence of electron-electron interactions around Van Hove singularities of a graphene Moir\'e superlattice

A variety of new and interesting correlated states have been predicted in graphene monolayer doped to Van Hove singularities (VHSs) of its density-of-state (DOS). However, tuning the Fermi energy to reach a VHS of graphene by either gating or chemical doping is prohibitively difficult, owning to their large energy distance (3 eV). Therefore, these correlated states, which arise from effects of strong electron-electron interactions at the VHSs, have remained experimentally elusive. Here, we report experimental evidences of electron-electron interactions around the VHSs of a twisted bilayer graphene (TBG) through scanning tunneling microscopy measurements. By introducing a small twisted angle between two adjacent graphene sheets, we are able to generate low-energy VHSs arbitrarily approaching the Fermi energy. The split of the VHSs are observed and the symmetry breaking of electronic states around the VHSs are directly visualized. These results experimentally demonstrate the important effects of electron-electron interactions on electronic properties around the VHSs of the TBG, therefore providing motivation for further theoretical and experimental studies in graphene systems with considering many-body interactions.
Role of Long Noncoding RNAs in the Regulation of Cellular Immune Response and Inflammatory Diseases

Long noncoding RNAs (lncRNAs) are recently discovered genetic regulatory molecules that regulate immune responses and are closely associated with the occurrence and development of various diseases, including inflammation, in humans and animals. Under specific physiological conditions, lncRNA expression varies at the cell or tissue level, and lncRNAs can bind to specific miRNAs, target mRNAs, and target proteins to participate in certain processes, such as cell differentiation and inflammatory responses, via the corresponding signaling pathways. This review article summarizes the regulatory role of lncRNAs in macrophage polarization, dendritic cell differentiation, T cell differentiation, and endothelial and epithelial inflammation. In addition, it describes the molecular mechanism of lncRNAs in acute kidney injury, hepatitis, inflammatory injury of the lung, osteoarthritis, mastitis, and neuroinflammation to provide a reference for the molecular regulatory network as well as the genetic diagnosis and treatment of inflammatory diseases in humans and animals.
Willingness-to-pay for precautionary control of microplastics, a comparison of hybrid choice models

ABSTRACT What are people willing to pay to reduce the uncertainty about the effects of microplastics? We examine this question in two ways. Firstly, using two contingent valuation questions, we elicit willingness to pay (WTP) to (a) reduce uncertainty about the potential adverse consequences of microplastic pollution, and (b) to reduce the release of microplastics to the marine environment. WTP was elicited from a representative sample of UK adults in 2020. Comparing WTP for these two scenarios suggests that respondents prefer resolving irreversibility over resolving uncertainty. Secondly, we use a hybrid choice model to show that latent precautionary attitudes exert a strong positive effect on WTP. Overall, respondents indicated a preference for resolving the uncertainty about microplastics by implementing abatement measures immediately. Given that policymakers are increasingly concerned about the potential for adverse environmental and health effects of microplastics in the marine environment, this paper suggests that the precautionary principle has strong support at the respondent level.
Scale-free networks in complex systems

In the past few years, several studies have explored the topology of interactions in different complex systems. Areas of investigation span from biology to engineering, physics and the social sciences. Although having different microscopic dynamics, the results demonstrate that most systems under consideration tend to self-organize into structures that share common features. In particular, the networks of interaction are characterized by a power law distribution, P(k)~ k-α, in the number of connections per node, k, over several orders of magnitude. Networks that fulfill this propriety of scale-invariance are referred to as "scale-free". In the present work we explore the implication of scale-free topologies in the antiferromagnetic (AF) Ising model and in a stochastic model of opinion formation. In the first case we show that the implicit disorder and frustration lead to a spinglass phase transition not observed for the AF Ising model on standard lattices. We further illustrate that the opinion formation model produces a coherent, turbulent-like dynamics for a certain range of parameters. The influence, of random or targeted exclusion of nodes is studied.
Effectiveness of symptom management training on caregiving preparedness and burden of family caregivers in-home palliative care: a quasiexperimental study

Introduction. Family caregiving preparedness remains a problem particularly for those who live in rural areas. Such conditions can cause a high burden for the family caregivers. The purpose of this study was to determine the effectiveness of providing home-based palliative care training for family caregivers (HBPC-FC) on caregiving preparedness and burden. Method. This was a quasi-experimental study using a pre-post test with the control group. There were 50 family caregivers (n=25 in the intervention group, n=25 in the controlled group) involved. The preparedness on caregiving was measured using the Caregiving Inventory (CGI) and burden was measured using Caregiving Burden Scale questionnaires. Results. After four weeks of HBPC-FC program, the caregiving preparedness improved significantly in the intervention group. Statistically significant differences in caregiving burden were also found between-group where caregiving burden in the intergention group decreased significantly (P < 0.05). The HBPC-FC program had positive outcomes for family caregivers. Conclusion. Home-based palliative care training on symptom mangement could be utilised as a form to improve family caregivers’ readiness in providing care for patients at home.
Faktor-Faktor yang Mempengaruhi Cash Holding Terhadap Perusahaan Manufaktur di Indonesia

Cash holding is very important in a company, especially in transaction activities and company operations. However, holding excessive cash also has a bad side, namely the loss of the company's opportunity to earn profits because the cash that is only stored will not provide income. The purpose of this study is to obtain empirical evidence whether firm size has a negative effect on cash holding, whether growth opportunities have a positive effect on cash holding, whether cash flow has a positive effect on cash holding, whether cash flow risk has a positive effect on cash holding, whether leverage has a negative effect. on cash holding, whether capital expenditure has a negative effect on cash holding, and dividend payment has a negative effect on cash holding in manufacturing companies in Indonesia. The sampling technique used was purposive sampling and data processing using Eviews 10 and Microsoft Excel 2010. Research during the 2017-2021 period was conducted on 28 companies. The results showed that firm size had a significant effect on cash holding, growth opportunities had a significant effect on cash holding, cash flow had no effect on cash holding, cash flow risk had no effect on cash holding, leverage had a significant effect on cash holding, capital expenditure had no effect on cash. holding, and dividend payments have a significant effect on cash holding.
Global geometric properties of AdS space and the AdS/CFT correspondence

The Poisson kernels and relations between them for a massive scalar field in a unit ball $B^n$ with Hua's metric and conformal flat metric are obtained by describing the $B^n$ as a submanifold of an $(n+1)$-dimensional embedding space. Global geometric properties of the AdS space are discussed. We show that the $(n+1)$-dimensional AdS space AdS$_{n+1}$ is isomorphic to $RP^1\times B^n$ and boundary of the AdS is isomorphic to $RP^1\times S^{n-1}$. Bulk-boundary propagator and the AdS/CFT like correspondence are demonstrated based on these global geometric properties of the $RP^1\times B^n$.
Understanding child abuse victim, caregiver and clinician Trauma Focused Cognitive Behavioural Therapy (TF-CBT) treatment experience

According to the World Health Organisation (WHO) global statistics, 25% of individuals have experienced physical abuse as children, 36.3% emotional abuse and 16.3% physical neglect. One in five girls had undergone sexual abuse compared to 1 in 13 boys (WHO, 2020). An overwhelming amount of research shows that children who have suffered child abuse present with symptoms consistent with post-traumatic stress disorder (PTSD), depression, anxiety, suicidality and aggression. Various therapeutic models have been employed to work with victims of child abuse. Trauma Focused Cognitive Behavioural Therapy (TF-CBT) is one of the models (Cohen & Mannarino, 2008). TF-CBT’s efficacy has been tested by a number of randomised trials and evidence has supported its superiority in the treatment of child abuse. The quantitative measures, however, have limited knowledge of the therapy experience for youth, caregivers or clinicians (‘users’) (Dittmann & Jensen, 2014). This poster will outline my current study which aims to ask what users’ experience is for different aspects of TF-CBT treatment. It is built upon previous enquiries’ recommendations and based on a pragmatic framework, with a primary focus on youth experience. A typical sample of fifteen participants ages 8-17 are being approached in two steps. First, five participants who have completed TF-CBT are being consulted about appropriate information gathering methods for youth undergoing therapy. This is an effort to address the emphasised deficit in youth-focused interview methods in research. Second, that guidance will be used in subsequent information gathering sessions with ten participants after each of the four TF-CBT phases. Corresponding caregivers and clinicians will be interviewed upon treatment completion. Data will be analysed using a reflexive thematic analysis. It is the hope that, in addition to contributing to a growing body of literature attempting to fill a gap, this study might also, through insight into the user lens, possibly afford information that assists in enhancing the therapeutic practice.
Current Development in Biomaterials—Hydroxyapatite and Bioglass for Applications in Biomedical Field: A Review

Inorganic biomaterials, including different types of metals and ceramics are widely used in various fields due to their biocompatibility, bioactivity, and bioresorbable capacity. In recent years, biomaterials have been used in biomedical and biological applications. Calcium phosphate (CaPs) compounds are gaining importance in the field of biomaterials used as a standalone material or in more complex structures, especially for bone substitutes and drug delivery systems. The use of multiple dopants into the structure of CaPs compounds can significantly improve their in vivo and in vitro activity. Among the general information included in the Introduction section, in the first section of this review paper, the authors provided a background on the development of hydroxyapatite, methods of synthesis, and its applications. The advantages of using different ions and co-ions for substitution into the hydroxyapatite lattice and their influence on physicochemical, antibacterial, and biological properties of hydroxyapatite are also presented in this section of the review paper. Larry Hench’s 45S5 Bioglass®, commercially named 45S5, was the first bioactive glass that revealed a chemical bond with bone, highlighting the potential of this biomaterial to be widely used in biomedicine for bone regeneration. The second section of this article is focused on the development and current products based on 45S5 Bioglass®, covering the historical evolution, importance of the sintering method, hybrid bioglass composites, and applications. To overcome the limitations of the original biomaterials, studies were performed to combine hydroxyapatite and 45S5 Bioglass® into new composites used for their high bioactivity and improved properties. This particular type of combined hydroxyapatite/bioglass biomaterial is discussed in the last section of this review paper.
Using Stepwise Method to Find the Most Influencing Feature to the Cell Nuclei of a Breast Mass

In real life, the influencing factors that lead to an outcome are varied and complex. However, how to organize the complex variable relationship into a concise and effective model for prediction is critical. Therefore, the Stepwise method was used in this study to organize the relationship between malignant and benign detection of breast cancer tumors and changes in cell characteristics into a model. In this paper, the diagnosis data of breast cancer of patients in the hospital were quoted. The benign and malignant characteristics of breast cancer were taken as independent variables, and the characteristic changes of cells were taken as dependent variables to conduct data analysis with R language, so as to obtain the most effective model. The results show that the prediction accuracy of the model obtained by AIC method is the highest. AIC selected seven dependent variables and reached 79.8 percent. The model prediction accuracy of BIC was 77.2 percent. Compared with AIC method, BIC only selected four dependent variables and obtained a more concise model. However, BIC is too concise and loses the accuracy of model prediction in some aspects.
A reanalysis of the X‐ray luminosities of clusters of galaxies with 0.3

The X-ray luminosities of the Einstein Extended Medium Sensitivity Survey (EMSS) clusters of galaxies with redshifts 0.3 250kpc (the constant value assumed in the EMSS), the new luminosities are 2.2 ′ 0.15 times the previous measurements. The X-ray luminosity function (XLF) at 0.3 < z < 0.6 is recalculated and is found to be consistent with the local XLF. The constraints on the updated properties of the 0.3 < z < 0.6 EMSS sample, including a comparison with the number of clusters predicted from local XLFs, indicate that the space density of luminous, massive clusters either has not evolved or has increased by a small factor 2 since z = 0.4. The implications of this result are discussed in terms of constraints on the cosmological parameter Ω 0 .
Transport through normal-metal-graphene contacts

Conductance of zigzag interfaces between a graphene sheet and a normal metal is investigated in the tight-binding approximation. Boundary conditions, valid for a variety of scattering problems, are constructed and applied to the normal-metal\char21{}graphene\char21{}normal-metal junctions. At the Dirac point, the conductance is determined solely by the evanescent modes and is inversely proportional to the length of the junction. It is also independent of the interface resistance. Away from the Dirac point, the propagating modes' contribution dominates. We also observe that even in the junctions with high interface resistance, for certain modes, ideal transmission is possible via Fabry-P\'erot-like resonances.
Retrieve properties of participating media by different spans of radiative signals using the SPSO algorithm

The numerical model of a short-pulse laser propagating in participating media was analysed based on the complete transport theory described as the transient radiative transfer equation (TRTE). The finite volume method was used to solve the TRTE for any dimensional problem. Radiative signals are transmitted signals and reflected signals caused by time-domain laser pulse and signal results were compared with the benchmark results obtained by the reverse Monte Carlo method. Moreover, sensitivity analysis has been presented with different thickness, short pulse width and optical properties. In order to estimate the optical parameters effectively, some criteria for choosing more sensitive spans of the measured signals have been obtained based on the sensitivity analysis. Furthermore, different sampling spans and peak values of radiative signals were used as measurement data for inverse analysis by using the stochastic particle swarm optimization algorithm. Firstly, the different sampling times of transmittance and reflectance signals were, respectively, used as the measurement data to reconstruct optical properties (scattering coefficients and absorption coefficients) of one-dimensional participating media. After that, the maximums of the signals for inverse analysis with different albedos were investigated and the properties of different cases were estimated and listed.
Integrin (cid:1)(cid:2) -mediated Phagocytosis of Apoptotic Cells in Drosophila Embryos

To identify molecules that play roles in the clearance of apoptotic cells by Drosophila phagocytes, we examined a series of monoclonal antibodies raised against larval hemocytes for effects on phagocytosis in vitro . One antibody that inhibited phagocytosis recognized terribly reduced optic lobes (Trol), a core protein of the perlecan-type proteoglycan, and the level of phagocytosisinembryosofaTrol-lackingflylinewaslowerthan in a control line. The treatment of a hemocyte cell line with a recombinant Trol protein containing the amino acid sequence RGDaugmentedthephosphorylationoffocaladhesionkinase,a hallmark of integrin activation. A loss of integrin (cid:1)(cid:2) , one of the two (cid:1) subunits of Drosophila integrin, brought about a reduc-tioninthelevelofapoptoticcellclearanceinembryos.Thepres- ence of integrin (cid:1)(cid:2) at the surface of embryonic hemocytes was confirmed, and forced expression of
REVIEW ARTICLES CHILDREN AND TEENS MOVING TOWARDS MENTAL HEALTH

Childhood and adolescence are periods of rapid growth when several structural and behavioral transformations take place. It is important to identify positive environmental exposures during these years and establish behavioral patterns that may have a positive effect on the development of these populations. There is an increasing body of evidence showing that regular exercise has unquestionable physical, social, and psychological benefits, contributing to general health and wellbeing. The aim of this study was to review the available literature regarding the impact of regular physical activity on the mental health of children and adolescents and to highlight possible mechanisms involved in this association. Study findings suggest that there is a global positive impact of physical activity on mental health, with the strongest effect related to the decrease of depressive symptoms. Other benefits include improvement in self-esteem, cognitive function, and sleep quality and a reduction of externalizing behaviors and anxiety symptoms. Competitive and esthetical sports were an exception. Overall, the current evidence allows recommending regular physical activity in children and adolescents, not only for its organic but also mental health benefits.
Deriving an X‐ray luminosity function of dwarf novae

Current measurements of X‐ray luminosity functions of dwarf novae contain biases due to high X‐ray flux sources. We have obtained Suzaku, XMM‐Newton and ASCA observations of nearby DNe which have parallax‐based distance measurements, and carried out X‐ray spectral analysis for these sources. Our primary goal is to derive a reliable X‐ray luminosity function for this sample, and to compare it with existing X‐ray luminosity functions. We briefly introduce the source sample and preliminary results.
Superoscillating Sequences Towards Approximation in S or S (cid:2) -Type Spaces and Extrapolation

Aharonov–Berry superoscillations are band-limited sequences of functions that happen to oscillate asymptotically faster than their fastest Fourier component. In this paper we analyze in what sense functions in the Schwartz space S ( R , C ) or in some of its subspaces, tempered distributions or also ultra-distributions, could be approximated over compact sets or relatively compact open sets (depending on the context) by such superoscillating sequences. We also show how one can proﬁt of the existence of such sequences in order to extrapolate band-limited signals with ﬁnite energy from a given segment of the real line.
The impact of social media messages on Parkinson’s disease treatment: detecting genuine sentiment in patient notes

Parkinson’s Disease(PD), one of the most serious neurodegenerative diseases that known huge controversy on social networks. Following medical lexicons, few approaches have been extended to leverage sentiment information that obviously reflects the patient’s health status in terms of related-narratives observations. It is been crucial to analyze online narratives and detect sentiment in patients’ self-reports. In this paper, we propose an automatic concept-level neural network method to distilling genuine sentiment in patients’ notes as medical polar facts into true positives and true negatives. Towards building emotional Parkinsonism assisted method from Parkinson’s Disease daily narratives di- gests, we characterize polar facts of defined medical configuration space through distributed biomedical representation at the concept-level as- sociated with real-world entities, which are operated to quantifying the emotional status of the speaker context. We conduct comparisons with state-of-art neural networks algorithms and biomedical distributed systems. Finally, as a result, we achieve an 85.3% accuracy performance, and the approach shows a well-understanding of medical natural language concepts.
Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions

Vehicular communications are an important focus of studies for 5G applications and beyond. However, in a scenario with doubly-selective and highly variable channel characteristics, tracking the wireless channel to ensure communication reliability is one of the main goals to provide communication efficiency. Moreover, multicarrier modulation schemes usually employed in these scenarios are susceptible to nonlinear distortions caused by high power amplifiers (HPA) at the transmitter, impairing the channel estimation and detection capability of the receivers. In view of these requirements and challenges, in the present work we propose a low complexity estimator based on the long short-term memory (LSTM) network, followed by a neural network (NN) in order to improve the data-pilot aided (DPA) estimation. In addition, we propose a new technique to exploit the characteristics of the vehicular channel, by sampling the subcarriers used at the input of the LSTM. Thus, besides tracking the variations of the wireless channel, the LSTM network is also used to interpolate the channel estimates for all subcarriers. The simulation results show the superiority of the proposed scheme in comparison with other state-of-the-art schemes, especially in high signal-to-noise ratio (SNR) regimes. Furthermore, the proposed scheme significantly reduces the computational complexity due to the subcarrier sampling procedure.