DAMPAK PANDEMI COVID-19 PADA KESEHATAN MENTAL PEMANDU WISATA DI BALI

Background : Tour guides as individuals who experience the impact of the loss of their livelihoods need to study and analyze whether there are psychological or mental impacts that are experienced considering that they are very vulnerable to not being able to control individual coping to easily accept situations or conditions without negative impacts. This research will study and describe the extent of the impact of the Covid-19 pandemic on the mental of tour guides in Bali. Methods : This descriptive research with cross-sectional approach. Data was collected from the association of tour guides in Bali in February 2021 with a total sampling technique of 115 tour guides who meet inclusion criteria. Data were collected using the Indonesian version of the SRQ-29 questionnaire online and processed by descriptive univariate. Results : The results of the study describe the conditions during the Covid-19 pandemic that 68 respondents (33.17%) had undergone a Rapid test, 45 people (21.95%) had undergone a swab test, 12 people (5.85%) had been confirmed as Positive Covid- 19 and 113 people (55.12%) stated that their area of origin or place of residence was once a red zone. The results of mental condition analysis during the pandemic showed that 134 people (65.37%) indicated symptoms of neurosis, 118 people (57.56%) indicated the use of psychoactive substances, 141 people (68.78%) indicated psychotic symptoms and that is 152 people (74.15%) indicated the presence of PTSD symptoms. Conclusion : Support from all parties through policies, attention and intervention is needed to minimize mental disorders, especially PTSD symptoms for the guides so that it is time for the Bali Return Program to start again productively without any mental obstacles.

Genetic influences on brain representations of natural audiovisual experiences

Natural sensory inputs in everyday situations induce unique experiences that vary between individuals, even when inputs are identical. This experiential uniqueness stems from the representations of sensory signals in each brain. We investigated whether genetic factors control individual differences in sensory representations in the brain by studying the brain representations of natural audiovisual signals in twin-pairs. We measured the brain response to natural movies in twins using functional magnetic resonance imaging and quantified the genetic influence on the multivoxel-pattern similarity of movie clip representations between each twin. The whole-brain analysis revealed a genetic influence on the multivoxel-pattern similarity in widespread brain regions, which included the occipitotemporal sensory cortices as well as the frontoparietal association cortices and subcortical structures. Our findings suggest that genetic factors exhibit an effect on natural audiovisual signaling by controlling audiovisual representations in the brain.

Genetic influences on brain representations of natural audiovisual experiences

Natural sensory inputs in everyday situations induce unique experiences that vary between individuals, even when inputs are identical. This experiential uniqueness stems from the representations of sensory signals in each brain. We investigated whether genetic factors control individual differences in sensory representations in the brain by studying the brain representations of natural audiovisual signals in twin-pairs. We measured the brain response to natural movies in twins using functional magnetic resonance imaging and quantified the genetic influence on the multivoxel-pattern similarity of movie clip representations between each twin. The whole-brain analysis revealed a genetic influence on the multivoxel-pattern similarity in widespread brain regions, which included the occipitotemporal sensory cortices as well as the frontoparietal association cortices and subcortical structures. Our findings suggest that genetic factors exhibit an effect on natural audiovisual signaling by controlling audiovisual representations in the brain.

Multi Criteria Analysis for Selecting Sharia Capital Market Management Investment Using ANP

<div><p class="1eAbstract-text"><em>The society orientation has shifted from a saving-oriented society to an investing-oriented society. Currently, investors have many choices of investment instruments to invest in the Islamic capital market. Previous studies have shown the factors that influence the capital market and influence investors' decisions to invest in the capital market. This study uses the Analytic Network Process (ANP) method to (1) determine the criteria that need to be taken into consideration in choosing an Islamic capital market investment instrument. (2) knowing the ideal investment instrument based on established criteria. The criteria used in this study include seven criteria, namely: investment performance criteria, risk criteria, liquidity criteria, macroeconomic factor criteria, individual circumstance criteria, psychological factor criteria, and demographic criteria. The respondents in this study were five experts from academics, practitioners, and regulator. The major findings of the research are (1) the criteria to be considered in choosing Islamic capital market investment instruments are divided into investor criteria and capital market criteria. Investor criteria include; psychological factors (motivation and self control), individual circumtances (financial literacy), demographics (income and education). Capital market criteria include: investment performance (capital gain, yield, and fundamental analysis), risk (financial risk, market risk and management risk), macroeconomic factors (exchange rates and gross domestic product), liquidity (liquidity ratio). (2) the alternative with the highest priority is sharia mutual funds, then sukuk and sharia stocks</em><em>.</em></p></div>

Self-Efficacy, Positive Future Outlook and School Burnout in Spanish Adolescents

Background: Environmental and personal circumstances during adolescence cause changes affecting students, their wellbeing, performance, self-efficacy, motivation, and aspirations for the future. The objective of this study was to analyze the relationship between burnout, self-efficacy, and outlooks by student gender and age, and determine the influence of self-efficacy on burnout and outlooks for the future. Methods: The sample was made up of 1287 high school students. The instruments used to collect data were The Control—Individual Protective Factors Index to evaluate self-efficacy, the Positive Outlook—Individual Protective Factors Index for aspirations, and finally, for burnout, the Maslach Burnout Inventory. Results: The results showed that the cynicism and exhaustion dimensions of burnout correlated negatively with self-efficacy and outlooks. On the contrary, the academic efficacy dimension showed a positive correlation with self-efficacy. In addition, the gender and age variables were related to burnout. Student self-efficacy was related to burnout and outlooks for the future, where youths with the highest levels of self-efficacy were those who had the most positive outlooks for the future and the least school burnout. Conclusions: Given the academic changes that impede commitment, self-efficacy, and outlooks for the future of youths, the design of intervention programs directed at improving adolescent self-efficacy would lower burnout levels and raise their outlooks.

Current Trends and Challenges for Rapid SMART Diagnostics at Point-of-Site Testing for Marine Toxins

In the past twenty years marine biotoxin analysis in routine regulatory monitoring has advanced significantly in Europe (EU) and other regions from the use of the mouse bioassay (MBA) towards the high-end analytical techniques such as high-performance liquid chromatography (HPLC) with tandem mass spectrometry (MS). Previously, acceptance of these advanced methods, in progressing away from the MBA, was hindered by a lack of commercial certified analytical standards for method development and validation. This has now been addressed whereby the availability of a wide range of analytical standards from several companies in the EU, North America and Asia has enhanced the development and validation of methods to the required regulatory standards. However, the cost of the high-end analytical equipment, lengthy procedures and the need for qualified personnel to perform analysis can still be a challenge for routine monitoring laboratories. In developing regions, aquaculture production is increasing and alternative inexpensive Sensitive, Measurable, Accurate and Real-Time (SMART) rapid point-of-site testing (POST) methods suitable for novice end users that can be validated and internationally accepted remain an objective for both regulators and the industry. The range of commercial testing kits on the market for marine toxin analysis remains limited and even more so those meeting the requirements for use in regulatory control. Individual assays include enzyme-linked immunosorbent assays (ELISA) and lateral flow membrane-based immunoassays (LFIA) for EU-regulated toxins, such as okadaic acid (OA) and dinophysistoxins (DTXs), saxitoxin (STX) and its analogues and domoic acid (DA) in the form of three separate tests offering varying costs and benefits for the industry. It can be observed from the literature that not only are developments and improvements ongoing for these assays, but there are also novel assays being developed using upcoming state-of-the-art biosensor technology. This review focuses on both currently available methods and recent advances in innovative methods for marine biotoxin testing and the end-user practicalities that need to be observed. Furthermore, it highlights trends that are influencing assay developments such as multiplexing capabilities and rapid POST, indicating potential detection methods that will shape the future market.

Quantum sensors for microscopic tunneling systems

The anomalous low-temperature properties of glasses arise from intrinsic excitable entities, so-called tunneling Two-Level-Systems (TLS), whose microscopic nature has been baffling solid-state physicists for decades. TLS have become particularly important for micro-fabricated quantum devices such as superconducting qubits, where they are a major source of decoherence. Here, we present a method to characterize individual TLS in virtually arbitrary materials deposited as thin films. The material is used as the dielectric in a capacitor that shunts the Josephson junction of a superconducting qubit. In such a hybrid quantum system the qubit serves as an interface to detect and control individual TLS. We demonstrate spectroscopic measurements of TLS resonances, evaluate their coupling to applied strain and DC-electric fields, and find evidence of strong interaction between coherent TLS in the sample material. Our approach opens avenues for quantum material spectroscopy to investigate the structure of tunneling defects and to develop low-loss dielectrics that are urgently required for the advancement of superconducting quantum computers.

Electron Spin Resonance of Single Molecules and Magnetic Interaction through Ligands

Electron spin resonance (ESR) spectroscopy is a crucial tool to determine the chemical structure of materials. ESR spectra measured in molecular systems, however, are established on large ensembles of spins and usually require complicated structural analysis. Recently, scanning tunneling microscopy (STM) combined with ESR has been proven as a powerful tool to image and coherently control individual atomic spins on surfaces. Here, we extend this technique to demonstrate ESR on single organic molecules - iron phthalocyanine (FePc) - and investigate the magnetic interactions between a molecular spin and either another molecular or atomic spin. We show that the molecular spin density is not only localized at the central Fe atom, but also distributed to the outer ligands, yielding a strongly anisotropic exchange coupling. Our work opens the door for using molecules in nanoscale ESR studies and promises tuning magnetic interactions between non-localized spins via tailoring ligand field symmetry and strength.

HoloFlows: modelling of processes for the Internet of Things in mixed reality

Our everyday lives are increasingly pervaded by digital assistants and smart devices forming the Internet of Things (IoT). While user interfaces to directly monitor and control individual IoT devices are becoming more sophisticated and end-user friendly, applications to connect standalone IoT devices and create more complex IoT processes for automating and assisting users with repetitive tasks still require a high level of technical expertise and programming knowledge. Related approaches for process modelling in IoT mostly suggest extensions to complex modelling languages, require high levels of abstraction and technical knowledge, and rely on unintuitive tools. We present a novel approach for end-user oriented-no-code-IoT process modelling using Mixed Reality (MR) technology: HoloFlows. Users are able to explore the IoT environment and model processes among sensors and actuators as first-class citizens by simply “drawing” virtual wires among physical IoT devices. MR technology hereby facilitates the understanding of the physical contexts and relations among the IoT devices and provides a new and more intuitive way of modelling IoT processes. The results of a user study comparing HoloFlows with classical modelling approaches show an increased user experience and decrease in required modelling knowledge and technical expertise to create IoT processes.