Miracle-dz/UniFAR-FTUs huggingface dataset:
Cancer Survivors’ Experiences of Navigating the Australian Health Care System for Physical and Mental Health Care Needs

People living with cancer experience many impacts on their health and mental health, and are thus likely to require ongoing health care. The aim of the current study was to investigate the health and mental health care experiences and needs of Australian cancer survivors. A total of 131 people (119 female, 12 male) with lived experience of a cancer diagnosis (at least 12 months ago) participated in an online survey collecting qualitative and quantitative data, advertised via social media groups and paid advertising. Analysis of the written responses was conducted using inductive qualitative content analysis. The findings showed that a major issue facing cancer survivors was difficulties around access to and management of services for both their mental and physical health. There was also a strong preference for increasing access to allied health care, such as physiotherapy, psychology, and remedial massage. There appear to be some inequities in the experiences of cancer survivors, particularly in accessing care. Improving the experiences of health care for physical and mental health cancer survivors should focus on increasing access to and improving the management of services, specifically allied health, through a variety of avenues, including reducing costs, increasing transport, and providing closer and more co-located services.
Effects of Gibberellic Acid (GA3) Application on The Plant Growth and Seed Production of Pinto Peanut (Arachis pintoi Krap & Greg)

Pinto peanut (Arachis pintoi Krap & Greg.) is a legume that is usually used as a cover crop, bio mulch in fruit and vegetable plantations, ornamental plants, and animal feed. Pinto peanut has many benefits; through the symbiosis with rhizobacteria they can fix nitrogen, as ground cover can reduce the risk of landslides, inhibit weed growths, and is a source of nectar for bees. Arahcnis pintoi can be propagated vegetatively or generatively, but generative propagation is hard to conduct in the tropics because it takes a long time for the plants to produce seeds. Our study was conducted to determine the effect of GA3 application on seed production of A. pintoi. The experiment was arranged in a single factor randomized complete block design with GA3 concentration of 0, 75, 150, 225, and 300 ppm. An orthogonal polynomial test was conducted to determine the effective concentrations for GA3 on seed formation and seed viability. Harvested seeds were stored for 1 month, then sown on sand medium; the seeds were soaked in 1% KNO3 solution to break seed dormancy prior. Our study showed that the GA3 effective concentration range from 130.69 ppm to 137.16 ppm, indicated by the increase the number of flowers at 105, 120, 135, and 150 DAT up to 28.59% compared to control. GA3 at 126.80 ppm can also increase the number of harvested pods by 18.16%. The effect of GA3 on vegetative growth was shown by the increase in the growth of new individual plants concentration, i.e. 53.25 new individual plant with GA3 application of 141.88 ppm.
Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19

This study aims to understand the post-adoption behaviors of mobile health (m-Health) service users during the COVID-19 pandemic. Drawing on the stimulus-organism-response framework, we examined the effects of user personality traits, doctor characteristics, and perceived risks on user continuance intentions and positive word of mouth (WOM) when using m-Health, as mediated by cognitive and emotional trust. The empirical data were collected via an online survey questionnaire from 621 m-Health service users in China and were verified with partial least squares structural equation modeling. The results showed that personal traits and doctor characteristics were positively associated and the perceived risks were negatively associated with both cognitive and emotional trust. Both cognitive and emotional trust significantly influenced users’ post-adoption behavioral intentions in terms of continuance intentions and positive WOM, with different magnitudes. This study provides new insights for the promotion of the sustainable development of m-Health businesses after or during the pandemic.
A Numerical Method for Obtaining an Optimal Temperature Distribution in a 3-D Triple-Layered Cylindrical Skin Structure Embedded with a Blood Vessel

ABSTRACT In hyperthermia cancer treatments, the crucial problem, when heating the tumor tissue, is keeping the temperature of the normal tissue surrounding the tumor below a certain threshold so as not to cause damage to the tissue. Thus, it is important to optimize the temperature field of the entire treatment region. Recently, we have developed a numerical method for obtaining an optimal temperature distribution in a triple-layered cylindrical skin structure. In this article, we extend our method to a case involving a triple-layered cylindrical skin structure embedded with a blood vessel. The method is illustrated by a numerical example.
Magnitude-only reconstruction of two-dimensional sequences with finite regions of support

In this paper, a conceptual algorithm for reconstructing a two-dimensional (2-D) complex-valued finite sequence from an adequate set of samples of the magnitude of its Fourier transform is presented. In particular, one obtains, at least theoretically, all solutions of the 2-D magnitude-only reconstruction problem, provided that the modulus of the DFT is available in a sufficiently large set of points. However, the practicability of this algorithm is limited to sequences with relatively small regions of support. The key for developing the method is shown to be an appropriate mapping of 2-D finite sequences into 1-D ones, such that 2-D discrete correlation can be formulated in terms of ordinary 1-D discrete correlation.
Intraoperative microelectrode recording under general anesthesia guided subthalamic nucleus deep brain stimulation for Parkinson's disease: One institution's experience

Objective Microelectrode recording (MER) guided subthalamic nucleus deep brain stimulation (STN-DBS) under local anesthesia (LA) is widely applied in the management of advanced Parkinson's disease (PD). Whereas, awake DBS under LA is painful and burdensome for PD patients. We analyzed the influence of general anesthesia (GA) on intraoperative MER, to assess the feasibility and effectiveness of GA in MER guided STN-DBS. Methods Retrospective analysis was performed on the PD patients, who underwent bilateral MER guided STN-DBS in Wuhan Union Hospital from July 2019 to December 2021. The patients were assigned to LA or GA group according to the anesthetic methods implemented. Multidimensional parameters, including MER signals, electrode implantation accuracy, clinical outcome and adverse events, were analyzed. Results A total of 40 PD patients were enrolled in this study, including 18 in LA group and 22 in GA group. There were no statistically significant differences in patient demographics and baseline characteristics between two groups. Although, the parameters of MER signal, including frequency, inter-spike interval (ISI) and amplitude, were obviously interfered under GA, the waveforms of MER signals were recognizable and shared similar characteristics with LA group. Both LA and GA could achieve effective electrode implantation accuracy and clinical outcome. They also shared similar adverse events postoperatively. Conclusion GA is viable and comparable to LA in MER guided STN-DBS for PD, regarding electrode implantation accuracy, clinical outcome and adverse events. Notably, GA is more friendly and acceptable to the patients who are incapable of enduring intraoperative MER under LA.
Maximum Energies of Shock-accelerated Electrons in Young Shell Supernova Remnants

Young supernova remnants (SNRs) are often assumed to be the source of cosmic rays up to energies approaching the slight steepening in the cosmic-ray spectrum at around 1000 TeV, known as the "knee. " We show that the observed X-ray emission of 14 radio-bright shell remnants, including all five historical shells, can be used to put limits on Emax, the energy at which the electron energy distribution must steepen from its slope at radio-emitting energies. Most of the remnants show thermal spectra, so any synchrotron component must fall below the observed X-ray fluxes. We obtain upper limits on Emax by considering the most rapid physically plausible cutoff in the relativistic electron distribution, an exponential, which is as sharp or sharper than found in any more elaborate models. This maximally curved model then gives us the highest possible Emax consistent with not exceeding observed X-rays. Our results are thus independent of particular models for the electron spectrum in SNRs. Assuming homogeneous emitting volumes with a constant magnetic field strength of 10 μG, no object could reach 1000 TeV, and only one, Kes 73, has an upper limit on Emax above 100 TeV. All the other remnants have limits at or below 80 TeV. Emax is probably set by the finite remnant lifetime rather than by synchrotron losses for remnants younger than a few thousand years, so that an observed electron steepening should be accompanied by steepening at the same energy for protons. More complicated, inhomogeneous models could allow higher values of Emax in parts of the remnant, but the emission-weighted average value, that characteristic of typical electrons, should obey these limits. The young remnants are not expected to improve much over their remaining lives at producing the highest energy Galactic cosmic rays; if they cannot, this picture of cosmic-ray origin may need major alteration.
ON THE LOCAL SOLVABILITY FOR A NONLINEAR WEAKLY HYPERBOLIC EQUATION WITH ANALYTIC COEFFICIENTS

We prove the local solvability in C ∞ of the following degenerate hyperbolic quasilinear equation in one space dimension: where the coefficient a(t, x) is nonnegative and real analytic in both variables, while f satisfies suitable Levi conditions. The main tools used are weighted energy estimates and the Nash-Moser Theorem.
Academic integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond

This paper explores the academic integrity considerations of students’ use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond, including the teaching of writing and composition, the possibilities of co-creation between humans and AI, supporting EFL learners, and improving Automated Writing Evaluations (AWE). We describe and demonstrate the potential that these tools have in creating original, coherent text that can avoid detection by existing technological methods of detection and trained academic staff alike, demonstrating a major academic integrity concern related to the use of these tools by students. Analysing the various issues related to academic integrity that LLMs raise for both Higher Education Institutions (HEIs) and students, we conclude that it is not the student use of any AI tools that defines whether plagiarism or a breach of academic integrity has occurred, but whether any use is made clear by the student. Deciding whether any particular use of LLMs by students can be defined as academic misconduct is determined by the academic integrity policies of any given HEI, which must be updated to consider how these tools will be used in future educational environments.
SCATTERING BY AN ARRAY OF CONDUCTING, LOSSY DIELECTRIC, FERRITE AND PSEUDOCHIRAL CYLINDERS - Abstract

Theory of scattering by conducting, lossy dielectric, ferrite and/or pseudochiral cylinders is investigated using a combination of a modified iterative scattering procedure and the orthogonal expansion method. The addition theorems for vector cylindrical harmonics, which transform harmonics from one coordinate system to another, are presented. The scattered field patterns for open structures and frequency responses of the transmission coefficients in a rectangular waveguide describing the resonances of the posts on the dominant waveguide mode are derived. The validity and accuracy of the method is verified by comparing the numerical results with those given in literature.
Differential rotation on rapidly rotating stars

Theories of meridional circulation and differential rotation in stellar convective zones predict trends in surface flow patterns on main-sequence stars that are amenable to direct observational testing. Here I summarise progress made in the last few years in determining surface differential rotation patterns on rapidly-rotating young main-sequence stars of spectral types F, G, K and M. Differential rotation increases strongly with increasing effective temperature along the main sequence. The shear rate appears to increase with depth in the sub-photospheric layers. Tidal locking in close binaries appears to suppress differential rotation, but better statistics are needed before this conclusion can be trusted. (© 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Electronic structure of carbon nanotubes with chiral symmetry

The sigma+pi electron densities of states of chiral carbon nanotubes are computed with a tight-binding Hamiltonian. Our calculations show that the electronic structures of carbon nanotubes with chiral symmetry are similar to the zigzag and armchair ones. The implications of these results on the characterization of single-wall nanotube ropes using resonant Raman experiments are discussed.
ESBL-Positive Enterobacteriaceae from Dogs of Santiago and Boa Vista Islands, Cape Verde: A Public Health Concern

Antimicrobial resistance is a public health threat with an increasing expression in low- and middle-income countries such as Cape Verde. In this country, there is an overpopulation of dogs, which may facilitate the spread of resistant bacteria, including extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae. To clarify the role of dogs as reservoirs for the dissemination of this bacterial group, 100 rectal swab samples were collected from confined (n = 50) and non-confined (n = 50) dogs in Santiago and Boa Vista Islands, Cape Verde. These were analyzed using conventional bacteriological techniques for the detection of ESBL-producing Enterobacteriaceae and characterization of their pathogenic and resistance profiles. Twenty-nine samples displayed ESBL-positive bacteria, from which 48 ESBL-producing isolates were obtained and mostly identified as Escherichia coli. Multiple antimicrobial resistance indexes ranged from 0.18 to 0.70 and half of the isolates were classified as multidrug-resistant. Isolates were capable of producing relevant virulence factors, including biofilm, showing virulence indexes between 0.29 and 0.71. As such, dogs in Cape Verde may act as reservoirs of resistant bacteria, including pathogenic and zoonotic species, representing a public health concern. Although further investigation is needed, this study proposes the periodical analysis of dogs’ fecal samples to monitor resistance dissemination in the country, in a One-Health perspective.
Transcendental and Material Silence: A Multimodal Study on Silence in Team Meetings

Silence in management and organization studies has been predominantly understood as something negative. However, recent examples have highlighted silence as a positive element in learning and organizing. We contribute to prior literature on positive silence and multimodality by arguing silence can operate as a semiotic mode that mobilizes resources for meaning-making. Ten team meetings in a financial organization in Europe were investigated. Visual ethnography was mobilized to gather data through interviews, observations, and photographs. Our analysis identified two types of silence—transcendental and material—that both function through three mechanisms to resemiotize meaning. A framework is presented to situate silence in relation to verbal and visual modes. Three contributions are made to studies on silence and multimodality: extended conceptualizations of silence, silence as a semiotic mode in itself, and methodological pathways for studying silence. In addition, practical implications for team meetings and silence in the workplace are discussed.
Hypoglycemic medicines in the treatment of Alzheimer’s disease: Pathophysiological links between AD and glucose metabolism

Alzheimer’s Disease (AD) is a global chronic disease in adults with beta-amyloid (Aβ) deposits and hyperphosphorylated tau protein as the pathologic characteristics. Although the exact etiology of AD is still not fully elucidated, aberrant metabolism including insulin signaling and mitochondria dysfunction plays an important role in the development of AD. Binding to insulin receptor substrates, insulin can transport through the blood-brain barrier (BBB), thus mediating insulin signaling pathways to regulate physiological functions. Impaired insulin signaling pathways, including PI3K/Akt/GSK3β and MAPK pathways, could cause damage to the brain in the pathogenesis of AD. Mitochondrial dysfunction and overexpression of TXNIP could also be causative links between AD and DM. Some antidiabetic medicines may have benefits in the treatment of AD. Metformin can be beneficial for cognition improvement in AD patients, although results from clinical trials were inconsistent. Exendin-4 may affect AD in animal models but there is a lack of clinical trials. Liraglutide and dulaglutide could also benefit AD patients in adequate clinical studies but not semaglutide. Dipeptidyl peptidase IV inhibitors (DPP4is) such as saxagliptin, vildagliptin, linagliptin, and sitagliptin could boost cognitive function in animal models. And SGLT2 inhibitors such as empagliflozin and dapagliflozin were also considerably protective against new-onset dementia in T2DM patients. Insulin therapy is a promising therapy but some studies indicated that it may increase the risk of AD. Herbal medicines are helpful for cognitive function and neuroprotection in the brain. For example, polyphenols, alkaloids, glycosides, and flavonoids have protective benefits in cognition function and glucose metabolism. Focusing on glucose metabolism, we summarized the pharmacological mechanism of hypoglycemic drugs and herbal medicines. New treatment approaches including antidiabetic synthesized drugs and herbal medicines would be provided to patients with AD. More clinical trials are needed to produce definite evidence for the effectiveness of hypoglycemic medications.
Magnetic Properties of Single Crystalline Ge<formula formulatype="inline"><tex Notation="TeX">$_{1 - {\rm x}}$</tex> </formula>Mn<formula formulatype="inline"><tex Notation="TeX">$_{\rm x}$</tex> </formula> Nanowires

A detailed study of the magnetic properties of single crystalline Ge1-xMnx nanowires is presented. Free-standing nanowires with an averaged diameter of 30-180 nm and several microns in length were grown by a supercritical fluid-liquid-solid method. The absence of various Ge-Mn crystallographic precipitates and oxide shells around the wire was confirmed by a number of structural techniques. Magnetization measurements demonstrate a clear ferromagnetic ordering at room temperature. However, the net magnetic moment is relatively low, with the maximum measured saturation moment per Mn atom in the order of 0.7 muB at T = 300 K. The weak room-temperature ferromagnetism most likely originates from areas rich in diluted Mn atoms. The magnetic properties of Ge1-xMnx nanowires can be qualitatively explained by propagation and the merge of bound magnetic polarons, which seed initially in areas with the largest local concentration of dispersed Mn ions.
Anticipations of the Geometric Phase

In science we like to emphasize the novelty and originality of our ideas. This is harmless enough, provided it does not blind us to the fact that concepts rarely arise out of nowhere. There is always a historical context, in which isolated precursors of the idea have already appeared. What we call “discovery” sometimes looks, in retrospect, more like emergence into the air from subterranean intellectual currents.
Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany

Urban areas are believed to affect temperature readings, thereby biasing the estimation of twentiethcentury warming at regional to global scales. The precise effect of changes in the surroundings of meteorological stations, particularly gradual changes due to urban growth, is difficult to determine. In this paper, data from 10 temperature stations within 15km of the city of Mainz (Germany) over a period of 842 days are examined to assess the connection between temperature and the properties of the station surroundings, considering (i) built/paved area surface coverage, (ii) population, and (iii) night light intensity. These properties were examined in circles with increasing radii from the stations to identify the most influential source areas. Daily maximum temperatures Tmax, as well as daily average temperatures, are shown to be significantly influenced by elevation and were adjusted before the analysis of anthropogenic surroundings, whereas daily minimum temperatures Tmin were not. Significant correlations (p , 0.1) between temperature and all examined properties of station surroundings up to 1000m are found, but the effects are diminished at larger distance. Other factors, such as slope and topographic position (e.g., hollows), were important, especially to Tmin. Therefore, properties of station surroundings up to 1000 m from the stations are most suitable for the assessment of potential urban influence on Tmax and Tmin in the temperate zone of central Europe.
Study on the holistic model for water resources system

Based on the Theory of Complex Adaptive System developed recently, a holistic model for water resources system is established at the basin level for analyzing water resources management and allocation of the basin. In this holistic model framework, the subsystems of the water resources system, including hydrologic components, agricultural and industrial production, human living, ecosystem and enviorenment are combined in a dynamic connection with inner variables. According to the characteristics of the holistic model framework, a nesting genetic arithmetic is employed to solve the nonlinear optimal model. The model is applied in the Yellow River basin to analyze the rational amount of diversion water for the West Line of Water Transfer Project form South China to North China and its marginal benifit.