The Impact of University Uniqueness on Indonesian Universities' Competitiveness in the New Normal Education System

The new normal learning process remains extremely difficult to implement due to changing one's mentality. Educators are not agents of knowledge dissemination. Nonetheless, it must fundamentally transform into motivators, inspirations, and collaborators in the process of developing the capacity to ask critical questions about the information contained in cyberspace and the general dearth of universities. It can organize online higher education programs properly is still a small number and coupled with students' lack of comprehension of the material provided by the lecturer online, which is significantly different from the face-to-face learning method. This research was conducted descriptively by employing a quantitative approach. This research aims to ascertain the capabilities of universities and their impact on the results achieved by universities in terms of competitiveness. The study's findings indicate that the university's unique capability significantly impacts its competitiveness.

Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR

Background: Diagnosing cardiac amyloidosis (CA) from cine-CMR (cardiac magnetic resonance) alone is not reliable. In this study, we tested if a convolutional neural network (CNN) could outperform the visual diagnosis of experienced operators. Method: 119 patients with cardiac amyloidosis and 122 patients with left ventricular hypertrophy (LVH) of other origins were retrospectively selected. Diastolic and systolic cine-CMR images were preprocessed and labeled. A dual-input visual geometry group (VGG ) model was used for binary image classification. All images belonging to the same patient were distributed in the same set. Accuracy and area under the curve (AUC) were calculated per frame and per patient from a 40% held-out test set. Results were compared to a visual analysis assessed by three experienced operators. Results: frame-based comparisons between humans and a CNN provided an accuracy of 0.605 vs. 0.746 (p < 0.0008) and an AUC of 0.630 vs. 0.824 (p < 0.0001). Patient-based comparisons provided an accuracy of 0.660 vs. 0.825 (p < 0.008) and an AUC of 0.727 vs. 0.895 (p < 0.002). Conclusion: based on cine-CMR images alone, a CNN is able to discriminate cardiac amyloidosis from LVH of other origins better than experienced human operators (15 to 20 points more in absolute value for accuracy and AUC), demonstrating a unique capability to identify what the eyes cannot see through classical radiological analysis.

CRISPR-Based Genetic Switches and Other Complex Circuits: Research and Application

CRISPR-based enzymes have offered a unique capability to the design of genetic switches, with advantages in designability, modularity and orthogonality. CRISPR-based genetic switches operate on multiple levels of life, including transcription and translation. In both prokaryotic and eukaryotic cells, deactivated CRISPR endonuclease and endoribonuclease have served in genetic switches for activating or repressing gene expression, at both transcriptional and translational levels. With these genetic switches, more complex circuits have been assembled to achieve sophisticated functions including inducible switches, non-linear response and logical biocomputation. As more CRISPR enzymes continue to be excavated, CRISPR-based genetic switches will be used in a much wider range of applications.

Digitization of Welding Processes

Welding processes offer a unique capability with a wide range of applications in industries. In recent times, welding has established itself as a tool for large scale additive manufacturing. In general, the quality and repeatability assurance for welding and specifically for additive manufacturing necessitates integrating process monitoring techniques with existing welding and additive manufacturing processes. The process-specific signals such as welding current fluctuations, temperature, and acoustic, generated during the welding operations, make them a suitable candidate for digitization. This chapter comprehensively describes the process monitoring techniques relevant to welding and additive manufacturing. Firstly, various sensors used during welding are described for their construction and working. Subsequently, specific applications of the sensors in digitizing the welding processes are presented.

Experiencing organ failure in virtual reality: Effects of self- versus other-embodied perspective taking on empathy and prosocial outcomes

This study capitalizes on the unique capability of virtual reality (VR) to examine the efficacy of self- versus other-embodied perspective taking in promoting kidney donation in Singapore. The study used a 2 (self- vs other-embodied) × 2 (mirror vs photo presentation) between-subjects VR experiment ( N = 128), wherein participants played the role of a patient needing a kidney donation, either as themselves or as a typical organ-failure patient. Our findings showed that self-embodied perspective taking triggered self-oriented emotions (i.e. personal distress) and subsequently egoistic motivations that resulted in alternative prosocial behaviors (e.g. monetary donation, volunteering) than kidney donation. We found that embodying the other, rather than the self, had the practical benefit of inducing other-oriented emotions (i.e. empathy) and hence altruistic motivations that promoted kidney donation. This study clarified the conditions under which embodied perspective taking promoted different prosocial outcomes, and the specific mechanisms through which it achieved those outcomes.

Role of CMR Imaging in Diagnostics and Evaluation of Cardiac Involvement in Muscle Dystrophies

Purpose of Review This review aims to outline the utility of cardiac magnetic resonance (CMR) in patients with different types of muscular dystrophies for the assessment of myocardial involvement, risk stratification and in guiding therapeutic decisions. Recent Findings In patients suffering from muscular dystrophies (MD), even mild initial dysfunction may lead to severe heart failure over a time course of years. CMR plays an increasing role in the diagnosis and clinical care of these patients, mostly due to its unique capability to precisely characterize subclinical and progressive changes in cardiac geometry, function in order to differentiate myocardial injury it allows the identification of inflammation, focal and diffuse fibrosis as well as fatty infiltration. CMR may provide additional information in addition to the physical examination, laboratory tests, ECG, and echocardiography. Summary Further trials are needed to investigate the potential impact of CMR on the therapeutic decision-making as well as the assessment of long-term prognosis in different forms of muscular dystrophies. In addition to the basic cardiovascular evaluation, CMR can provide a robust, non-invasive technique for the evaluation of subclinical myocardial tissue injury like fat infiltration and focal and diffuse fibrosis. Furthermore, CMR has a unique capability to detect the progression of myocardial tissue damage in patients with a preserved systolic function.

Community Access to CHEOPS

&lt;p&gt;Launched on 18 December 2019, CHEOPS (CHaracterising ExOPlanet Satellite) is the first exoplanet mission dedicated to the search for transits of exoplanets by means of ultrahigh precision photometry of bright stars already known to host planets. It is the first S-(small) class mission in ESA&amp;#8217;s Cosmic Vision 2015-2025, and a partnership between Switzerland and ESA, with important contributions from 10 other member states.&lt;br class=&quot;&quot; /&gt;&lt;br class=&quot;&quot; /&gt;CHEOPS will provide the unique capability of&amp;#160;determining accurate radii for a subset of planets in the super-Earth to&amp;#160;Neptune mass range, for which masses have&amp;#160;already been estimated from ground-&amp;#160;based spectroscopic surveys. It will also provide precision radii for new&amp;#160;planets discovered by ground- and space-based transit&amp;#160;surveys, including TESS.&amp;#160;By combining known masses with CHEOPS sizes, it will be possible to determine&amp;#160;accurate densities for these smaller planets, providing key&amp;#160;insight into their&amp;#160;composition and internal structure. By identifying transiting exoplanets with&amp;#160;high potential for in-depth characterisation &amp;#8211; e.g. those that are potentially&amp;#160;rocky and have thin atmospheres - CHEOPS will also provide prime targets for&amp;#160;future instruments suited to the spectroscopic characterisation of exoplanetary&amp;#160;atmospheres.&lt;/p&gt; &lt;p&gt;In this poster we detail how the Community can access CHEOPS, with emphasis on the ESA-run Guest Observers Programme and the Annual Announcement of Opportunity for observing time Year 3 of CHEOPS, which is foreseen to come out in Quarter 4 2021.&lt;/p&gt;

The potential of $$\varLambda $$ and $$\varXi ^-$$ studies with PANDA at FAIR

The antiproton experiment PANDA at FAIR is designed to bring hadron physics to a new level in terms of scope, precision and accuracy. In this work, its unique capability for studies of hyperons is outlined. We discuss ground-state hyperons as diagnostic tools to study non-perturbative aspects of the strong interaction, and fundamental symmetries. New simulation studies have been carried out for two benchmark hyperon-antihyperon production channels: $${\bar{p}}p \rightarrow {\bar{\varLambda }}\varLambda $$ p ¯ p → Λ ¯ Λ and $${\bar{p}}p \rightarrow {\bar{\varXi }}^+\varXi ^-$$ p ¯ p → Ξ ¯ + Ξ - . The results, presented in detail in this paper, show that hyperon-antihyperon pairs from these reactions can be exclusively reconstructed with high efficiency and very low background contamination. In addition, the polarisation and spin correlations have been studied, exploiting the weak, self-analysing decay of hyperons and antihyperons. Two independent approaches to the finite efficiency have been applied and evaluated: one standard multidimensional efficiency correction approach, and one efficiency independent approach. The applicability of the latter was thoroughly evaluated for all channels, beam momenta and observables. The standard method yields good results in all cases, and shows that spin observables can be studied with high precision and accuracy already in the first phase of data taking with PANDA.

Analyzing 67P’s dusty coma

&lt;p&gt;While the volatile species in comet 67P/Churyumov-Gerasimenko&amp;#8217;s coma have been analyzed in great spatial and temporal detail, e.g., Rubin et al. (2019) or L&amp;#228;uter et al. (2020), little is so far known about the less volatile, heavier species. There is growing evidence, however, that less volatile species, such as salts, may play a key role in explaining some of the puzzling properties of comets, as for instance shown by Altwegg et al. (2020). These authors also have demonstrated the unique capability of ROSINA/DFMS (Rosetta Orbiter Spectrometer for Ion and Neutral Analysis/ Double Focusing Mass Spectrometer; Balsiger et al. (2007)) to detect exactly such little volatile species in-situ, namely during a dust event on 5 September 2016 (when a dust grain entered the instrument and sublimated inside).&lt;/p&gt;&lt;p&gt;Complementary information on 67P&amp;#8217;s dusty coma can be obtained from data collected during time periods of high dust activity. A clear advantage of such data is they also allow for a quantitative interpretation thanks to the much more stable measurement conditions. Moreover, a comparison to data collected during a time period of little dust activity (e.g., to the days around end of May 2015 as in Rubin et al. 2019) also allows to link species to dust.&lt;/p&gt;&lt;p&gt;End of July / beginning of August 2015, the comet was approaching its perihelion and ejecting a lot of dust, as seen by the OSIRIS camera (Vincent et al. 2016). The data from this period are therefore a promising starting point for the search of heavier species (m &gt; 100 Da). Altwegg et al. (2019), for instance, reported on the tentative identifications of the simplest polyaromatic hydrocarbon species naphthalene as well as of benzoic acid, the simplest aromatic carboxylic acid. To confirm these identifications and to achieve a more complete inventory of heavier and chemically more complex species, we are now analyzing these data sets strategically. In our contribution we will share what we have learned from pushing the exploration of 67P&amp;#8217;s dusty coma.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Altwegg et al., 2020, Nat. Astron., 4, 533-540.&lt;br&gt;Altwegg et al., 2019, Annu. Rev. Astron. Astrophys., 57, 113-55.&lt;br&gt;Balsiger H. et al., 2007, Space Sci. Rev., 128, 745-801.&lt;br&gt;L&amp;#228;uter et al., 2020, MNRAS, 498, 3, 3995-4004.&lt;br&gt;Rubin et al., 2019, MNRAS, 489, 594-607. Vincent et al., 2016, MNRAS, 462 (Suppl_1), 184-194.&lt;/p&gt;