Miracle-dz/UniFAR-FTUs huggingface dataset:
Palliative Care Nursing in Australia and the Role of the Registered Nurse in Palliative Care

The registered nurse has crucial preventative, therapeutic, sociocultural, and advocacy roles in promoting quality holistic patient-centred palliative care. This paper examines, describes, and analyses this multifaceted role from an antipodean perspective. We conducted systematic searches using PubMed, Google Scholar, government guidelines, authoritative body regulations, quality control guidelines, and government portals pertaining to palliative care nursing in Australia. This paper relies upon the information garnered from publications, reports, and guidelines resulting from these searches and analyses. The fundamental principles and guiding values of palliative care (and nursing) and the raison d’etre for palliative care as a discipline are underscored and expanded on. Australian Clinical Practice Guidelines (CPGs) pertaining to palliative end-of-life (EOL) nursing care and associated services are discussed. The relevant NMBA nursing standards that RNs need to have to administer opioids/narcotics in palliative care are summarised. The identification of patients who need EOL care, holistic person-centred care planning for them, and consultative multidisciplinary palliative clinical decision making are discussed in the palliative care context. Several components of advance care planning apropos health deterioration and conflicts are discussed. Several aspects of EOL care, especially palliative nursing care, are analysed using research evidence, established nursing and palliative care standards, and the Australian EOL CPGs.
A mm-Wave Signal Generation and Background Phase Alignment Technique for Scalable Arrays

This work presents a mm-wave signal generation method that provides background phase tuning and self-alignment between adjacent sources. This technique is based on direct monitoring of the mm-wave signal and provides phase tuning through a baseband feedback loop. We present the theory of the concept, provide the design methodology, and validate the proposed method with a two-element prototype in a 65-nm CMOS process. The prototype has a chip area of 1.3 mm $\times $ 2 mm and consumes a total dc power of 258 mW. Chip measurements demonstrate a phase tuning range of 140° at 35 GHz with 20°/step and 3.5° of rms phase error. The measured phase switching time is 20 ns. The measured phase noise at 1-MHz offset is below –117 dBc/Hz across phase settings, and the accumulated jitter is 86 fs. These results are consistent with theory and simulation. This work provides a phase alignment technique for large-scale mm-wave phased arrays.
Aspects of electrostatics in BTZ geometries

In the present paper the electrostatic of charges in non rotating BTZ black hole and wormhole space times is studied. In particular, the self force of a point charge in the geometry is characterized analitically. The differences between the self force in both cases is a theoretical experiment for distinguishing both geometries, which otherwise are locally indistinguishable. This idea was applied before to four and higher dimensional black holes by the present and other authors. However, the particularities of the BTZ geometry makes the analysis considerable more complicated than usual electrostatic in a flat geometry, and its even harder than its four dimensional counterparts. First, the BTZ space times are not asymptotically flat but instead asymptotically AdS. In addition, the relative distance $d(r,r+1)$ between two particles located at a radius $r$ and $r+1$ in the geometry tends to zero when $r\to\infty$. This behavior, which is radically different in a flat geometry, changes the analysis of the asymptotic conditions for the electrostatic field. In addition, there are no summation formulas that allow a closed analytic expression for the self force. We find a method to calculate such force in series, and the resulting expansion is convergent to the real solution. However, we suspect that the convergence is not uniform. In other, for points that are far away from the black hole the calculation of the force requires higher order summation. These subtleties are carefully analyzed in the paper, and it is shown that they lead to severe problems when calculating the self force for asymptotic points in the geometry.
SpADe: Multi-Stage Spam Account Detection for Online Social Networks

In recent years, Online Social Networks (OSNs) have radically changed the way people communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram, claim more than one billion monthly active users each. Beyond these, news-oriented micro-blogging services, e.g., Twitter, are daily accessed by more than 120 million users sharing contents from all over the world. Unfortunately, legitimate users of the OSNs are mixed with malicious ones, which are interested in spreading unwanted, misleading, harmful, or discriminatory content. Spam detection in OSNs is generally approached by considering the characteristics of the account under analysis, its connection with the rest of the network, as well as data and metadata representing the content shared. However, obtaining all this information can be computationally expensive, or even unfeasible, on massive networks. Driven by these motivations, in this article we propose SpADe, a multi-stage Spam Account Detection algorithm with reject option, whose purpose is to exploit less costly features at the early stages, while progressively extracting more complex information only for those accounts that are difficult to classify. Experimental evaluation shows the effectiveness of the proposed algorithm compared to single-stage approaches, which are much more complex in terms of features processing and classification time.
An Energy-Efficient Domain-Specific Reconfigurable Array Processor With Heterogeneous PEs for Wearable Brain–Computer Interface SoCs

Recently, there is increasing demand for energy-efficient signal processing in wearable visual-stimuli-based brain-computer interface (V-BCI) devices. For the better accuracy and the reduced latency of the V-BCI system, the target identification (TI) algorithm that analyzes brain signals is being advanced, and the importance of an energy-efficient accelerating chip that processes various linear algebra operations constituting the TI algorithms is growing. In this paper, we propose a domain-specific reconfigurable array processor (RAP) with a dynamically reconfigurable and scalable array including 5-heterogeneous processing elements (PEs) for the energy-efficient acceleration of basic linear algebra subprograms (BLAS) and matrix decompositions. The system-on-chip (SoC), including the proposed RAP, was fabricated in 130-nm CMOS technology with an area of 16.87-mm2 and measured at 1.0 V 90 MHz. The RAP achieved an information transfer rate (ITR) of 139.9-bits/min and a TI accuracy of 95.4% on a fabricated chip through an optimized TI algorithm and scalable array processing. In addition, the RAP has $16.8\times $ higher TI energy efficiency than prior work and achieved an energy efficiency of 2144.2-bits/min/mW for information transfer processing rate with the proposed TI algorithm. The RAP supports a greater variety of linear algebra operations and data sizes with hardware reconfiguration than the prior accelerators.
Food Security as Ethics and Social Responsibility: An Application of the Food Abundance Index in an Urban Setting

High levels of food insecurity signal the presence of disparities and inequities in local food access that have been shown to negatively impact the health and well-being of individuals and communities. Some argue that the lack of healthy, affordable and culturally relevant food within a community represents a troubling social and ethical concern for any society. The current research conducts an assessment of a specific community utilizing the framework outlined by the Food Abundance Index (FAI) scorecard. Combined with contemporary regional data on the demographics of the area, data revealed extremely low scores for both access and density dimensions. Our findings can help business, community and policymakers better understand and target evidence-based solutions to address the issue of food insecurity within this region.
The Potential of Pharmaceutical Hydrogels in the Formulation of Topical Administration Hormone Drugs

Hormones have attracted considerable interest in recent years due to their potential use in treatment of many diseases. Their ability to have a multidirectional effect leads to searching for new and increasingly effective drugs and therapies. Limitations in formulating drug forms containing hormones are mainly due to their low enzymatic stability, short half-life and limited bioavailability. One of the solutions may be to develop a hydrogel as a potential hormone carrier, for epidermal and transdermal application. This review discusses the main research directions in developing this drug formulation. The factors determining the action of hormones as drugs are presented. An analysis of hydrogel substrates and permeation enhancers that have the potential to enhance the efficacy of hormones applied to the skin is reviewed.
A Study on the Pathogenesis of Vascular Cognitive Impairment and Dementia: The Chronic Cerebral Hypoperfusion Hypothesis

The pathogenic mechanisms underlying vascular cognitive impairment and dementia (VCID) remain controversial due to the heterogeneity of vascular causes and complexity of disease neuropathology. However, one common feature shared among all these vascular causes is cerebral blood flow (CBF) dysregulation, and chronic cerebral hypoperfusion (CCH) is the universal consequence of CBF dysregulation, which subsequently results in an insufficient blood supply to the brain, ultimately contributing to VCID. The purpose of this comprehensive review is to emphasize the important contributions of CCH to VCID and illustrate the current findings about the mechanisms involved in CCH-induced VCID pathological changes. Specifically, evidence is mainly provided to support the molecular mechanisms, including Aβ accumulation, inflammation, oxidative stress, blood-brain barrier (BBB) disruption, trophic uncoupling and white matter lesions (WMLs). Notably, there are close interactions among these multiple mechanisms, and further research is necessary to elucidate the hitherto unsolved questions regarding these interactions. An enhanced understanding of the pathological features in preclinical models could provide a theoretical basis, ultimately achieving the shift from treatment to prevention.
On the Relation between Quantum Discord and Purified Entanglement

In this thesis, I study bipartite discord between A and B in terms of the structure formed by the bipartite and tripartite entanglement found in the purified system ABC. I find that discord manifests itself only when there is both tripartite and bipartite entanglement present in the purification. This allows one to understand the asymmetry of quantum discord, D(A|B) 6= D(B|A) in terms of entanglement monogamy. For the cases where AB has rank two and for twomode Gaussian states, I find that discord also necessarily appears whenever there is tripartite and bipartite entanglement in ABC. As a result of this, some light is shed on a counter-intuitive property of Gaussian states: the presence of classical correlations necessarily requires the presence of quantum discord. Finally, these results are found to be closely linked to the protocol for remote activation of entanglement by a third party.
p73α1, an Isoform of the p73 Tumor Suppressor, Modulates Lipid Metabolism and Cancer Cell Growth via Stearoyl-CoA Desaturase-1

Altered lipid metabolism is a hallmark of cancer. p73, a p53 family member, regulates cellular processes and is expressed as multiple isoforms. However, the role of p73 in regulating lipid metabolism is not well-characterized. Previously, we found that loss of p73 exon 12 (E12) leads to an isoform switch from p73α to p73α1, the latter of which has strong tumor suppressive activity. In this study, comprehensive untargeted metabolomics was performed to determine whether p73α1 alters lipid metabolism in non-small cell lung carcinoma cells. RNA-seq and molecular biology approaches were combined to identify lipid metabolism genes altered upon loss of E12 and identify a direct target of p73α1. We found that loss of E12 leads to decreased levels of phosphatidylcholines, and this was due to decreased expression of genes involved in phosphatidylcholine synthesis. Additionally, we found that E12-knockout cells had increased levels of phosphatidylcholines containing saturated fatty acids (FAs) and decreased levels of phosphatidylcholines containing monounsaturated fatty acids (MUFAs). We then found that p73α1 inhibits cancer cell viability through direct transcriptional suppression of Stearoyl-CoA Desaturase-1 (SCD1), which converts saturated FAs to MUFAs. Finally, we showed that p73α1-mediated suppression of SCD1 leads to increased ratios of saturated FAs to MUFAs.
Channel Estimation for Massive MU-MIMO Systems with Real Image Denoising Network

Channel estimation is one of the critical challenges for massive multiuser multiple-input multiple-output (MU-MIMO) systems. In this paper, a deep learning (DL) method, exploiting the sparsity of the massive MIMO channel, is proposed to improve the performance of least squares (LS) estimation. Specifically, we first consider the sparse massive MIMO channel matrix as a natural image. Then, a novel channel estimation method based on real image denoising network (RIDNet) is proposed to effectively mitigate the impact of noise on LS estimation. Finally, simulation results are provided to corroborate the superiority of the proposed method in performance and robustness.
The mediatory role of perfectionism in predicting self-esteem based on parenting styles among female students

Background and Aim: Numerous studies have been conducted on the relationship between parenting styles and self-esteem, while the role of perfectionism has been overlooked as a mediator in predicting selfesteem. Thus, this study aimed at determining the mediatory role of perfectionism in the prediction of self-esteem among female students based on parenting styles. Methods: The present study was the type of descriptive-correlational studies, and the statistical population included the female students of the Azad University of Tonekabon. The sample was composed of 123 female students of the university that were selected by the convenience sampling method. They have responded to the parenting style questionnaire of Baumrind (1972), Coopersmith's (1967) Self-Esteem Inventory, and the perfectionism inventory scale of Hill (2004). The structural equation modeling with SPSS26 and PLS3 software was used to analyze the data. Results: The findings indicated that the structural model of perceived parenting styles along with selfesteem was fitted through the mediation of perfectionism among students. The results stated that all paths were significant except permissive and authoritative paths to self-esteem and the authoritarian path to negative perfectionism. Furthermore, the indirect effect of permissive and authoritative styles of parenting on self-esteem through negative perfectionism, respectively, was -0.223 and -0.207, respectively. And the indirect effect of permissive, authoritative, and authoritarian parenting styles on self-esteem through positive perfectionism was -0.205, -0.204, and 0.261, respectively. The results were statistically significant. Conclusion: According to the findings of the research, it can be concluded that the individual's self-esteem can be predicted through perfectionism and parenting styles.
Narrative Medicine Meets Planetary Health: Mindsets Matter in the Anthropocene

The emerging concept of planetary health—defined as the interdependent vitality of all natural and anthropogenic ecosystems (social, political, and otherwise)—emphasizes that the health of human civilization is intricately connected to the health of natural systems within the Earth’s biosphere. In the clinical setting, narrative medicine underscores the importance of absorbing, reflecting upon, and responding to the narratives—the stories—conveyed by patients. Education and interventions using the tenets of narrative medicine have demonstrated value to both patient and provider. Given the grand interconnected challenges of our time—compounded by misinformation and quasi-scientific narratives propagated by the ideology of neoliberalism—we argue that the principles and practice of narrative medicine can be applied on a larger scale, one with planetary health in mind. The role of beliefs, expectations, and agency—mindsets—in the link between narrative and planetary health are emphasized. We use a story of our own to demonstrate that the biological buffering capacity in response to a fast-food meal does not sit on a level socioeconomic playing field. Patient, community, and global health narratives are melding with powerful narratives set by commercial entities. The success of planetary health as a new concept will be strengthened by attention to the ways in which storytelling can influence positive change. No less important is an understanding of the ways in which stories contribute to what ails person, place, and planet.
Casimir effect with uniformly moving mirrors

We study a simple example of quantum electrodynamics with nonstationary boundary conditions in (3+1) dimensions: the problem of two parallel mirrors moving relative to each other with constant speed v. The Green functions are constructed using the reflection principle. The behavior of physical quantities like the Casimir force and the vacuum expectation value of the energy-momentum tensor are discussed. If the motion of an arbitrary point between the mirrors is described by a straight world line, then in the local rest frame at the point in question the energy-momentum tensor has the same structure as in the standard Casimir problem with stationary mirrors. In particular, all physical quantities are smooth functions of v, so that the limit v. -->. 0 leads to the expected results.
A Reflection-Based Channel Fingerprint to Locate Physically Intrusive Devices in ICS

It is hard to conduct cyberattacks in industrial control systems (ICSs) because most underlying networks of ICS like the field bus network are isolated from the internet. However, attackers can physically connect the intrusive device into the target network to launch various attacks, which bypasses the security protection mechanisms between the ICS and the internet. Currently, no effective measures could defend against such unauthorized physical access attacks. In this article, a reflection-based channel fingerprint is proposed to detect and locate these physically intrusive devices in the field bus network. We theoretically analyze the signal reflection characteristics and utilize inevitable changes in the channel fingerprint to detect the intrusive device. Besides, the detected anomaly features could be used to accurately estimate the intrusive device's location. In the end, the proposed method's effectiveness is validated through extensive simulation experiments.
Examination of diaphragm thickness, mobility and thickening fraction in individuals with COPD of different severity

Background/aim Diaphragm thickness and mobility assessed by ultrasound in individuals with Chronic Obstructive Pulmonary Disease (COPD) reflect the function of the diaphragm. The aim of this study is to compare the diaphragm thickness, mobility, and thickening fraction in individuals with COPD of different severity and healthy individuals and examine the relationship between these parameters and pulmonary function test parameters. Materials and methods A cross-sectional observational study design was used. Thirty individuals (mild = 11; moderate = 13; severe = 6) with COPD and 29 healthy male individuals aged between 40–75 years were included in the study. The individuals included in the study were evaluated between October 2020/May 2021. Pulmonary functions were measured with a spirometer, while diaphragm thickness, mobility, and thickening fraction were measured by ultrasound. Results The right and left diaphragm thickness, mobility, thickness variation, thickening fraction, and mobility were lower in individuals with COPD than in healthy individuals (p < 0.05). The left Functional Residual Capacity (FRC) diaphragm thickness, right Total Lung Capacity (TLC), and FRC diaphragm thickness were higher in mild COPD than moderate COPD and moderate COPD than severe COPD (p < 0.05). The right diaphragmatic thickening fraction and rate were higher in mild COPD than in moderate and severe COPD (p < 0.05). The left mobility was lower in severe COPD than in mild COPD (p < 0.05). Conclusion Diaphragm ultrasound parameters decrease as disease severity increases in individuals with COPD. We think that adding diaphragm ultrasound parameters together with pulmonary function test to the evaluation of individuals with COPD will provide additional contributions to determining the course of the disease.
Effect of volatile oils extracted from orange peels Citrus sinensis and silver nanoparticles manufactured from it on the concentration of glutathione (GPX) and Levels of oxidative stress Malondialdehyde (MDA) and ‏Lipid ‎peroxides (LPO) in the serum of ma

Citrus Citrus fruits are used for the prevention of many chronic diseases such as cancer, diabetes, and cardiovascular diseases. The leaves and fruits of the citrus genus contain antioxidants. The oil of the family plants has uses in folk medicine, The results also showed a significant increase in the concentration of glutathione ‎peroxidase (GPX) when treated with orange peel extract at a concentration of 450 ‎mg/kg and 1 ml/kg of hydrogen peroxide, which amounted to 64.77‎±1.3 ‎ μmol/L ‎Compared to With the treatment that was dosed only with 1 ml/kg of hydrogen ‎peroxide H2O2 as its concentration level was 43.69 ±4.1 μmol/L, there were also ‎significant differences for the treatment when dosed with 0.6 mg/kg with ‎nanosilver and 1 mm/kg of peroxide. The hydrogen peroxide amounted to 57.32 ‎‎±6.2 μmol/L, while the concentration of malondialdehyde (MAD) decreased ‎significantly when treated with orange peel extract at a concentration of 450 mg/kg ‎and 1 ml/kg of hydrogen peroxide, reaching 0.390±0.056 μmol/L (representing the ‎lowest concentration of MAD levels) compared to the treatment dosed with only 1 ‎ml/kg of hydrogen peroxide of 0.757‎‏±‏‎ 0.021‎‏ ‏μmol/L,,,
The Role of the TSK/TONSL-H3.1 Pathway in Maintaining Genome Stability in Multicellular Eukaryotes

Replication-dependent histone H3.1 and replication-independent histone H3.3 are nearly identical proteins in most multicellular eukaryotes. The N-terminal tails of these H3 variants, where the majority of histone post-translational modifications are made, typically differ by only one amino acid. Despite extensive sequence similarity with H3.3, the H3.1 variant has been hypothesized to play unique roles in cells, as it is specifically expressed and inserted into chromatin during DNA replication. However, identifying a function that is unique to H3.1 during replication has remained elusive. In this review, we discuss recent findings regarding the involvement of the H3.1 variant in regulating the TSK/TONSL-mediated resolution of stalled or broken replication forks. Uncovering this new function for the H3.1 variant has been made possible by the identification of the first proteins containing domains that can selectively bind or modify the H3.1 variant. The functional characterization of H3-variant-specific readers and writers reveals another layer of chromatin-based information regulating transcription, DNA replication, and DNA repair.