Miracle-dz/UniFAR-FTUs huggingface dataset:
Late-time cosmic evolution of dust: solving the puzzle

Dust is an essential ingredient of galaxies, determining the physical and chemical conditions in the interstellar medium. Several complementary observational evidences indicate that the cosmic dust mass density significantly drops from redshift z = 1 to z = 0. Clearly, and for the first time during cosmic evolution, dust must be destroyed more rapidly than it is formed. By considering the dust production/destruction processes acting in this cosmic time lapse, we find that the drop can be explained if dust is mainly destroyed by astration (49% contribution in the fiducial case) and supernova shocks within galaxies (42%). Our results further imply that on average each supernova destroys only Md,sn = 0.45M of dust, i.e. 5 − 10 times less than usually assumed, with a hard upper limit of Md,sn < 3.0M set by the available metal budget and maximal grain growth. The lower efficiency might be explained by effective shielding of dust against shock processing in pre-supernova wind shells.
Goal-Driven Autonomous Mapping Through Deep Reinforcement Learning and Planning-Based Navigation

—In this paper, we present a goal-driven autonomous mapping and exploration system that combines reactive and planned robot navigation. First, a navigation policy is learned through a deep reinforcement learning (DRL) framework in a simulated environment. This policy guides an autonomous agent towards a goal while avoiding obstacles. We develop a navigation system where this learned policy is integrated into a motion planning stack as the local navigation layer to move the robot towards the intermediate goals. A global path planner is used to mitigate the local optimum problem and guide the robot towards the global goal. Possible intermediate goal locations are extracted from the environment and used as local goals according to the navigation system heuristics. The fully autonomous navigation is performed without any prior knowledge while mapping is performed as the robot moves through the environment. Experiments show the capability of the system navigating in previously unknown surroundings and arriving at the designated goal.
Dynamical stability and electronic structure of β-phosphorus carbide nanowires

In this work, [Formula: see text]-phosphorus carbide 1D nanowires (PCNWs) are investigated in the framework of density functional theory. The dynamical stability of the considered [Formula: see text]-PCNWs at 300[Formula: see text]K is verified using ab initio molecular dynamics calculations. According to the results on the band structure calculations, [Formula: see text]-PCNWs can be semiconductors, semimetals or metals depending on their size and form. Thus, owning to their unique shape and high tunability of electronic properties, [Formula: see text]-PCNWs may be used in optical and photovoltaic nanodevices.
Enyne Metathesis Catalyzed by Ruthenium Carbene Complexes

Enyne metathesis combines an alkene and an alkyne into a 1,3-diene. The first enyne metathesis reaction catalyzed by a ruthenium carbene complex was reported in 1994. This review covers the advances in this transformationduring the last eight years with particular emphasis on methodology development and synthetic applications.
Analysis and Evaluation of Cyber-attack Impact on Critical Power System Infrastructure

ABSTRACT This paper identifies and proposes two novel indices for cyber-attack impact evaluation. It focuses to create a simple common platform to compare cyber intrusion impact among different critical infrastructure using time as a base parameter. The first index is ‘Service Unavailability Cyber Impact Factor (SUCIF)’ having score range from 0 to 1, where 0 indicate cyber disaster and 1 indicates no breach. To estimate the score, detail information regarding system unavailability or malfunctioning is required. It can be used to analyze those systems whose detail cyber-physical infrastructure is not available. The second indicator named ‘Time Based Cyber Impact Factor (TBCIF)’ uses graph-based bad node detection technique to determine the score point similar to SUCIF. For this, optimal time and expected time for incursion detection plays a vital role to generate impact score. This index is suitable for test systems whose physical or cyber layer architecture is known. This research uses SUCIF index to compare hacking impact on Ukrainian Power Grid (UPG) and Saudi Aramco Oil and Gas Company (AOGC). To legitimize TBCIF score, it has been used to compare the intrusion impact of different IEEE test systems. This index is more consistent for the smart grid network. Graphical Abstract
Effects of COVID-19 crisis on small and medium-sized hotel operators: insights from Nepal

ABSTRACT This paper reports on the challenges experienced by small and medium-sized hotel operators during the crisis caused by COVID-19. The data for the current study was collected from Nepal using semi-structured interviews with 15 operators between 13 July and 29 September 2020. The findings of this study reveal how a crisis such as COVID-19 pandemic increases the vulnerability of small and medium-sized hotel operators by weakening their economic conditions and lowering their self-esteem. This study also shows that the feeling of the lack of moral and economic supports from the government further increases vulnerability to failure among small and medium-sized hotel operators. Implications for policymakers and operators of small and medium-sized hotels, particularly in developing countries, have been provided.
Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach

ABSTRACT The success of machine-learning methods is spreading their use to many different fields. This paper analyses one of these methods, the Kernel Logistic Regression (KLR), from the point of view of Random Utility Model (RUM) and proposes the use of the KLR to specify the utilities in RUM, freeing the modeler from the need to postulate a functional relation between the features. A Monte Carlo simulation study is conducted to empirically compare KLR with the Multinomial Logit (MNL) method, the Support Vector Machine (SVM) and the Random Forests (RF). We have shown that, using simulated data, KLR is the only method that achieves maximum accuracy and leads to an unbiased willingness-to-pay estimator for non-linear phenomena. In a real travel mode choice problem, RF achieved the highest predictive accuracy, followed by KLR. However, KLR allows for the calculation of indicators such as the value of time, which is of great importance in the context of transportation.
Short-term prediction of freeway travel times by fusing input-output vehicle counts and GPS tracking data

ABSTRACT Short-term travel time prediction on freeways is the most valuable information for drivers when selecting their routes and departure times. Furthermore, this information is also essential at traffic management centers in order to monitor the network performance and anticipate the activation of traffic management strategies. The importance of reliable short-term travel time predictions will even increase with the advent of autonomous vehicles, when vehicle routing will strongly rely on this information. In this context, it is important to develop a real-time method to accurately predict travel times. The present paper uses vehicle accumulation, obtained from input-output diagrams constructed from loop detector data, to predict travel times on freeway sections. Loop detector count drift, which typically invalidates vehicle accumulation measurements, is corrected by means of a data fusion algorithm using GPS measurements. The goodness of the methodology has been proven under different boundary conditions using simulated data.
Building Confidence to CONVINCE

This paper describes the inception and evolution to date of CONVINCE – COVID-19 New Vaccine Information, Communication and Engagement – a rapidly expanding, voluntary global initiative to promote the use of effective public communications and engagement to build vaccine literacy and expedite immunization programs to protect communities against the COVID-19 Pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Shelby D. Hunt’s contributions to the marketing discipline: Research programs, impact, and compelling opportunities

ABSTRACT This issue of the Journal of Global Scholars of Marketing Science (JGSMS) is a tribute to the contributions of Shelby D. Hunt to the marketing discipline. There are nine contributions by – Dennis B. Arnett, Vishag Badrinrayanan, Kshitij Bhoumik, Pelin Bicen, Mayukh Dass, Linda Ferrell, O.C. Ferrell, Shelby D. Hunt, Sreedhar Madhavaram, Heejung Park, Mark Peterson, Rajan Vardarajan, and Scott J. Vitell – that not only pay homage to Professor Hunt’s significant contributions, but also make original contributions that can potentially take the marketing discipline forward. Collectively, the contributions from the special issue are unequivocal on the significance of Professor Hunt’s contributions to the marketing discipline with reference to: (i) theory development in marketing, (ii) programmatic research on marketing theory, marketings’ philosophy debates, channels of distribution, macromarketing and ethics, relationship marketing, resource-advantage theory, and marketing management and strategy, (iii) impact on the marketing discipline, (iv) implications for marketing scholarship, pedagogy, and practice, and (v) advancing the marketing discipline. In conclusion, on the foundations of Professor Hunt’s contributions to research on marketing theory, marketing strategy, marketing ethics, macromarketing, resource-advantage theory of competition, and channels of distribution, compelling opportunities are abound for marketing scholarship.
Sustainable tourism practices and business performance from the tour operators’ perspectives

ABSTRACT Sustainable tourism is an upcoming significant practice in the tourism industry. Tour operators are encouraged to participate in sustainable tourism according to their respective roles in the business. Hence, this study was conducted to examine the relationship between sustainable business management practices (SBM) and sustainable destination management practices (SDM) on the tour operator's business performance. The usable questionnaire of 190 was analyzed using the SEM-PLS 3.2. 9. The results of the study indicated that both SBM and SDM practices impact the business performance of tour operators. Tour operators are reported to have an added business advantage by adopting these sustainable tourism practices. This study contributes to the existing literature by providing insight into the adoption of sustainable tourism practices in Malaysia.
Molecular dynamics study on atomic elastic stiffness at mode I crack along bi-metal interface

Propagation of mode I crack along bi-metal (001) interfaces of Fe/W, Fe/Ni, Fe/Co and Ti/Mg is simulated by molecular dynamics and discussed with the eigenvalue/vector of the atomic elastic stiffness, Bija=Δσia/Δεj, and surface energy. The crack does not propagate at the interface but in the adjacent phase of smaller surface energy, except in Fe/Ni. The 1st eigenvalue ηa(1), or the solution of BijaΔεj=ηaΔεi of each atom, clarifies the difference of ‘soft/hard’ of both phases at the onset of crack propagation. In the case of Fe/Ni, the ηa(1) of Ni atoms remarkably decreases in the Fe/Ni bi-metal structure, even though Ni has higher ηa(1) than Fe at no-load perfect lattices. Thus the rupture occurs in the Ni side even though the Ni has slightly higher (001) surface energy than Fe. Deformation modes at the crack propagation are also visualized by the eigenvector of ηa(1) < 0 unstable atoms. This article is part of the theme issue ‘Fracture dynamics of solid materials: from particles to the globe’.
Pre-P gravity signals from dynamic earthquake rupture: modelling and observations

Dynamic earthquake rupture is one of the most extensive and devastating fracture phenomena on the Earth. It causes a sudden crustal deformation around a fault and generates seismic waves that induce bulk density variations propagating with them. Both processes constitute rock-mass redistribution, which is expected to induce simultaneous transient gravity perturbations at all distances before the arrival of P-waves. Interest in such pre-P gravity signals has increased both in terms of modelling and observations because of their potential for earthquake early warning. A simple forward model has pioneered the search for the so-called prompt elasto-gravity signals, which led to the first report of a signal from the 2011 Mw9.0 Tohoku-Oki earthquake using a single superconducting gravimeter record. The second report followed using hundreds of broadband seismometers with critical modification of the previous model to consider the pre-P ground acceleration in the measurement of gravity. Post-event analyses have identified prompt elasto-gravity signals from several large earthquakes, and state-of-the-art instruments are now being developed for real-time signal detection. This paper reviews recent progress in the cutting-edge subject of prompt elasto-gravity signals owing to large-scale earthquake rupture. This article is part of the theme issue ‘Fracture dynamics of solid materials: from particles to the globe’.
Synthesis, Structure, and Properties of Model Organic Surfaces

Interest in the properties of thin-film organic materials, especially regard­ ing organized monoand multilayer assemblies, has grown enormously in recent years. The impetus for this renaissance-the relevance of such structures and materials to biological interfaces and membranes, corrosion protection, electrochemistry, wetting, adhesion, and microelectronic cir­ cuit fabrication, for example-has been discussed extensively (1,2). Such materials are clearly contributing significantly to our more general under­ standing of the physics and chemistry of complex surfaces and interfaces. In this article, we provide a general overview of areas in which this has been persuasively demonstrated and, in so doing, suggest the intellectual issues that drive current research in this field. Until recently, there were no generally applicable methods to construct well-ordered, organic surface phases by using any rational synthetic scheme. Metal, semiconductor, and oxide surfaces can be easily prepared by orienting, cutting (or cleaving), and polishing single-crystal substrates followed by cleaning in ultrahigh vacuum (URV) (i.e. by ion bom-
Volatile Organic Compounds in Alberta, Canada Residences—Evidence from Community Surveys

The impact of the built environment on public health is complex, involving several determinants of health including indoor air quality. People who spend the most time indoors can be exposed to indoor air pollutants for long periods of time. These are often the same people who are most susceptible to adverse effects if exposures are high enough (young children, elderly, and chronically ill, especially those suffering from respiratory diseases). An analysis of data on selected indoor volatile organic compounds (VOCs) from community studies in Alberta, Canada was undertaken. Measures of typical (central tendency) and high end (upper limit) indoor concentrations were estimated from seven studies in Alberta. Best estimates of central tendency indoor concentrations for 12 VOCs—benzene, ethylbenzene, o-xylene, 3-methylhexane, heptane, octane, nonane, decane, 1,1,1-trichloroethane, carbon tetrachloride, tetrachloroethylene, and 1,2,4-trimethylbenzene—were less than 5 μg/m3. Best estimates of central tendency indoor concentrations for three VOCs—toluene, m/p-xylene, and limonene—were greater than 5 μg/m3. In the case of best estimates of upper limit indoor concentrations—benzene, ethylbenzene, o-xylene, hexane, 3-methylhexane, heptane, octane, nonane, carbon tetrachloride, and tetrachloroethylene had upper limit concentrations less than 15 μg/m3. Best estimates of upper limit indoor concentrations for toluene, m/p xylene, decane, limonene, 1,1,1-trichloroethane, and 1,2,4-trimethylbenzene were greater than 15 μg/m3. Upper limit concentrations observed inside Alberta residences were about 4 to 10 times higher than typical concentrations for most of the VOCs observed. Upper limit indoor concentrations for carbon tetrachloride and benzene in Alberta are similar to or greater than levels judged by US EPA to imply a concern for potential cancer effects. This indicates that some homes in Alberta can have levels of carbon tetrachloride and benzene that may be of concern from a public health point-of-view.
Sortilin-related receptor is a druggable therapeutic target in breast cancer

In breast cancer, the currently approved anti-receptor tyrosine-protein kinase erbB-2 (HER2) therapies do not fully meet the expected clinical goals due to therapy resistance. Identifying alternative HER2-related therapeutic targets could offer means to overcome these resistance mechanisms. We have previously demonstrated that an endosomal sorting protein, sortilin-related receptor (SorLA), regulates the traffic and signaling of HER2 and HER3, thus promoting resistance to HER2-targeted therapy in breast cancer. This study aims to assess the feasibility of targeting SorLA using a monoclonal antibody. Our results demonstrate that anti-SorLA antibody (SorLA ab) alters the resistance of breast cancer cells to HER2 monoclonal antibody trastuzumab in vitro and in ovo. We found that SorLA ab and trastuzumab combination therapy also inhibits tumor cell proliferation and tumor cellularity in a mouse xenograft model of HER2-positive breast cancer. In addition, SorLA ab inhibits the proliferation of breast cancer patient-derived explant three-dimensional cultures. These results provide for the first time proof-of-principle that SorLA is a druggable target in breast cancer.
An Optogenetic Tool to Raise Intracellular pH in Single Cells and Drive Localized Membrane Dynamics

Intracellular pH (pHi) dynamics are critical for regulating normal cell physiology. For example, transient increases in pHi (7.2-7.6) regulate cell behaviors like cell polarization, actin cytoskeleton remodeling, and cell migration. Most studies on pH-dependent cell behaviors have been performed at the population level and use non-specific methods to manipulate pHi. The lack of tools to specifically manipulate pHi at the single-cell level has hindered investigation of the role of pHi dynamics in driving single cell behaviors. In this work, we show that Archaerhodopsin (ArchT), a light-driven outward proton pump, can be used to elicit robust and physiological pHi increases over the minutes timescale. We show that activation of ArchT is repeatable, enabling the maintenance of high pHi in single cells for approximately 45 minutes. We apply this spatiotemporal pHi manipulation tool to determine whether increased pHi is a sufficient driver of membrane ruffling in single cells. Using the ArchT tool, we show that increased pHi in single cells can drive localized membrane ruffling responses within seconds and increased membrane dynamics (both protrusion and retraction events) compared to unstimulated ArchT cells as well as control cells. Overall, this tool allows us to directly investigate the relationship between increased pHi and cell behaviors such as membrane ruffling. This tool will be transformative in facilitating the experiments required to determine if increased pHi is a driver of these cell behaviors at the single-cell level.
Developmental innovations promote species diversification in mushroom-forming fungi

Fungi evolved complex fruiting body (‘mushroom’) morphologies as adaptations to efficient spore dispersal in terrestrial habitats. Mushroom-forming fungi (Agaricomycetes) display a graded series of developmental innovations related to fruiting body morphology, however, how these evolved is largely unknown, leaving the functional biology and evolutionary principles of complex multicellularity in the third largest multicellular kingdom poorly known. Here, we show that developmental innovations of mushroom-forming fungi that enclose the spore-producing surface (hymenophore) in a protected environment display significant asymmetry in their evolution and are associated with increased diversification rates. ‘Enclosed’ development and related tissues (partial and universal veils) evolved convergently and became a widespread developmental type in clades in which it emerged. This probably mirrors increased fitness for protected fruiting body initials in terrestrial habitats, by better coping with environmental factors such as desiccation or predators, among others. We observed similar patterns in the evolution of complex hymenophore architectures, such as gills, pores or teeth, which optimize biomass-to-propagule number ratios and were found to spur diversification in mushrooms. Taken together, our results highlight new morphological traits associated with the adaptive radiation of mushroom-forming fungi and present formal phylogenetic testing of hypotheses on the reproductive ecology of a poorly known but hyperdiverse clade.
No influence of antibiotic on locomotion in Drosophila nigrosparsa after recovery, but influence on microbiome, possibly mediating wing-morphology change

Antibiotics, such as tetracycline, has been frequently used to cure endosymbiont Wolbachia in arthropods. After the symbionts had been removed, the hosts must be waited for some generations to recover from side effects of the antibiotics. Knowledge of potential long-term effects of the antibiotic is important. Here, we treated Drosophila nigrosparsa with and without antibiotic tetracycline for three generations and two generations recovering time to investigate effects of the tetracycline on the flies concerning locomotion of larvae and adults, wing morphology, and gut microbiome of adults. In addition, gut-microbiome restoration was tested as a solution to reducing potential side effects of tetracycline on the flies’ microbiome more quickly. We found significant differences in larval and adult locomotion within groups but no significant differences among the control, antibiotic-treated, and gut-restoration groups. We found a slight differentiation of wing morphology into the three groups and significant differences in bacterial abundance among groups. The influence of tetracycline on the gut microbiome may have contributed to wing-morphology differences among groups, which would be an indirect effect of the antibiotic. Together with the absence of an effect on locomotion, this suggests that checking for both direct and indirect effects of tetracycline after a particular recovery time before using tetracycline curing is important. The microbiome of the gut-restoration group was not like that of the control group. Therefore, gut restoration cannot be used to remove effects of tetracycline in D. nigrosparsa, at least in the setup used here.