Miracle-dz/UniFAR-FTUs huggingface dataset:
LITHIUM ABUNDANCES IN GLOBULAR CLUSTER GIANTS: NGC 6218 (M12) AND NGC 5904 (M5)

Convergent lines of evidence suggest that globular clusters host multiple stellar populations. It appears that they experience at least two episodes of star formation whereby a fraction of first-generation stars contribute astrated ejecta to form the second generation(s). To identify the polluting progenitors, we require distinguishing chemical signatures such as that provided by lithium. Theoretical models predict that lithium can be synthesized in AGB stars, whereas no net Li production is expected from other candidates. It has been shown that in order to reproduce the abundance pattern found in M4, Li production must occur within the polluters, favoring the AGB scenario. Here, we present Li and Al abundances for a large sample of RGB stars in M12 and M5. These clusters have a very similar metallicity, while demonstrating differences in several cluster properties. Our results indicate that the first-generation and second-generation stars share the same Li content in M12; we recover an abundance pattern similar to that observed in M4. In M5, we find a higher degree of complexity, and a simple dilution model fails in reproducing the majority of the stellar population. In both clusters, we require Li production across the different stellar generations, but production seems to have occurred to different extents. We suggest that such a difference might be related to the cluster mass with the Li production being more efficient in less-massive clusters. This is the first time a statistically significant correlation between the Li spread within a GC and its luminosity has been demonstrated. Finally, although Li-producing polluters are required to account for the observed pattern, other mechanisms, such as MS depletion, might have played a role in contributing to the Li internal variation, though at a relatively low level.
Effects of size and season of disturbance on algal patch recovery in a rocky intertidal community

Effects of gap size and the season of clearing on algal patch recovery were investigated in a high rocky intertidal shore of Bntish Columbia, Canada, to understand community dynamics in relation to physical disturbance. The comn~unity studled contains 3 domlnant perennial macroalgae, Mazzaella cornucopiae (= Iridaea corn ucopiae, Khodoph y ta), Fucus distichus and Pelvetiopsis lin~itata (Phaeophyta), and some ephemeral algae as well as barnacles and limpets. The experimental design comprised 3 gap sizes of clearing (5 X 5 cm, 10 X 10 cm and 20 X 20 cm) and 4 seasonal clearings (August 1991, October 1991, February 1992. April 1992). The recolonization rate of all algal species was fastest in the medium gaps, followed by the small and large gaps. Thus, medium gaps were filled by a relatively well-mixed combination of all algal species including M. cornucopiae (rare in large gaps) and E djstichus (low in small gaps). Responses of each alga to the different slzes of clearing were speciesspecific and related to the alga's reproductive characteristics. The results Indicate that negative factors (e.g. whiplash, desiccation) were probably responsible for slow colonization in the 2 extreme sizes of gap. Different algal species responded differently to the gaps cleared in different seasons. New substrata created a short time (e.g. 2 mo) before the peak of fucoid recruitment in unmanipulated plots received a greater number of fucoid propagules, and this initial recruitment secured fucoid persistence in the later successional period. On the other hand, for M. cornucopiae, which propagates mostly vegetatively, the timing of clearing generally did not influence dominance of this alga in the patches. Barnacle densities during the experimental period were less in small gaps than in medium and large gaps, but limpet abundance was not significantly influenced by clearing size. The kinds of algal species which move in when a gap of a particular size is created in a particular season were predicted for this community using the interaction terms of size and season effects of disturbance.
SPATIAL SEISMOLOGY OF A LARGE CORONAL LOOP ARCADE FROM TRACE AND EIT OBSERVATIONS OF ITS TRANSVERSE OSCILLATIONS

We present a study of transverse loop oscillations in a large coronal loop arcade, using observations from the Transition Region And Coronal Explorer (TRACE) and Extreme-ultraviolet Imaging Telescope (EIT). For the first time we reveal the presence of long-period transverse oscillations with periods between 24 minutes and 3 hr. One loop bundle, 690 Mm long and with an oscillation period of 40 minutes, is analyzed in detail and its oscillation characteristics are determined in an automated manner. The oscillation quality factor is similar to what has been found earlier for oscillations in much shorter loops. This indicates that the damping mechanism of transverse loop oscillations is independent of loop length or period. The displacement profile along the whole length of the oscillating loop is determined for the first time and consistently between TRACE and EIT. By comparing the observed profile with models of the three-dimensional geometry of the equilibrium and perturbed loop, we test the effect of longitudinal structuring (spatial seismology) and find that the observations cannot unambiguously distinguish between structuring and non-planarity of the equilibrium loop. Associated intensity variations with a similar periodicity are explained in terms of variations in the line-of-sight column depth. Also, we report intensity oscillations at the loop footpoint, which are in anti-phase with respect to the intensity oscillations in the loop body. Lastly, this observation offers the first opportunity to use the transverse oscillations of the arcade to model the Alfvén speed profile in the global corona.
FATIGUE DAMAGE PROPERTIES OF ASPHALTIC CONCRETE PAVEMENTS

The development of material property relations for the two fatigue damage properties, K sub 1 and K sub 2, which can be used to predict the fatigue life of asphaltic concrete pavements, is described. The fatigue damage properties developed are based on the theory of fracture mechanics along with regression analysis on published beam fatigue data and, thus, can take into account crack initiation, propagation, and material properties that are not accounted for with the conventional strain-based fatigue equation. The approach provides more insight into how these fatigue damage properties reflect the fatigue behavior of asphaltic concrete pavement while producing acceptable estimates of field fatigue life. Derivations have shown that the fatigue damage property K sub 1 is dependent on the asphalt mixture and pavement properties, such as the parameters of the Paris crack growth law, elastic stiffness, and thickness of the asphaltic concrete layer and that the fatigue damage property K sub 2 varies with the initial asphalt cement properties, such as asphalt content, viscosity, penetration, and temperature. Two significant functions of the fatigue damage properties developed are (a) the prediction of fatigue life allows for the application of loading with single or dual tires on single, tandem, or triple axles, and (b) they provide for the calculation of load equivalence factors for fatigue life as affected by multiple-axle loads. A shift factor that can be used to adjust the laboratory (or calculated) fatigue damage properties to that measured in the field is also described. This factor takes into account healing and residual stresses between applications of traffic loads that are responsible for the difference in fatigue life between laboratory test results and those measured in the field.
CARMENES input catalogue of M dwarfs

Aims. The main goal of this work is to measure rotation periods of the M-type dwarf stars being observed by the CARMENES exoplanet survey to help distinguish radial-velocity signals produced by magnetic activity from those produced by exoplanets. Rotation periods are also fundamental for a detailed study of the relation between activity and rotation in late-type stars. Methods. We look for significant periodic signals in 622 photometric time series of 337 bright, nearby M dwarfs obtained by long-time baseline, automated surveys (MEarth, ASAS, SuperWASP, NSVS, Catalina, ASAS-SN, K2, and HATNet) and for 20 stars which we obtained with four 0.2–0.8 m telescopes at high geographical latitudes. Results. We present 142 rotation periods (73 new) from 0.12 d to 133 d and ten long-term activity cycles (six new) from 3.0 a to 11.5 a. We compare our determinations with those in the existing literature; we investigate the distribution of Prot in the CARMENES input catalogue, the amplitude of photometric variability, and their relation to v sini and pEW(Hα); and we identify three very active stars with new rotation periods between 0.34 d and 23.6 d.
Virtual Tourism Application through 3D Walkthrough: Flor De La Mar

Tourism industry with well develop virtual tour is important to promote a country iconic places of interest such as Malacca. It is essential for Malacca as part of the tourism attraction to preserve the historical value for the tourist and also for the younger generation to learn from the history. Maritime Museum is one of the must-go-see places where it is built based on a Portuguese's ship that known as Flor de La Mar (FdLM). However, based on the site visit and the peer review that has been done, the existing virtual museum in Maritime Museum Malacca does not reflect the historical identity of the ship. In this paper, we will focus on development of FdLM 3D walkthrough application that would enhance the existing virtual museum with virtual and augmented reality implementation. Results from the evaluation have shown positive feedback where users are able to imagine the FdLM in real life and they prefer FdLM 3D Walkthrough compared to the existing virtual museum. Thus FdLM 3D Walkthrough application shall be adapted in the future to the Maritime Museum Malacca as tourist attraction.
The Labor Supply Response to (Mismeasured but) Predictable Wage Changes

Most panel data studies of intertemporal labor supply assume classical measurement error. Recent validation studies refute this assumption. In this study I address nonclassical measurement error explicitly. I use data on males from the Panel Study of Income Dynamics Validation Study to purge measurement error from the Panel Study of Income Dynamics. I find a large amount of predictable wage variation in the data, even after allowing for measurement error. However, there is almost no labor supply response to these predictable wage changes. Therefore, failure to control for nonclassical measurement error cannot explain the low estimated labor supply elasticities in other papers.
Silencing the ACAT1 Gene in Human SH-SY5Y Neuroblastoma Cells Inhibits the Expression of Cyclo-Oxygenase 2 (COX2) and Reduces β-Amyloid-Induced Toxicity Due to Activation of Protein Kinase C (PKC) and ERK

Background Acyl-coenzymeA: cholesterol acyltransferase (ACAT) 1, a key enzyme converting excess free cholesterol to cholesterol esters, has been demonstrated to be associated with the pathogenesis of Alzheimer disease (AD). However, the mechanism underlying the protective role of ACAT1 blockage in AD progression remains elusive. Material/Methods Human neuroblastoma SH-SY5Y cells were treated for 24 h with increasing concentrations of aggregated Aβ25–35 (5, 15, 25, and 45 μmol) with or without the ACAT1 siRNA pretreatment. Cell viability analysis was measured by CCK-8 assay. The genome-wide correlation between ACAT1 and all other probe sets was measured by the Pearson correlation coefficient (r). Western blotting was used to detect the ACAT1 protein expression in the hippocampus of APP/PSN transgenic AD mice. The mRNA level for each target was analyzed by qPCR. Western blotting was used to detect the ACAT1, cyclo-oxygenase-2 (Cox2), Calcium voltage-gated channel subunits (CACNAs), and ERK/PKC proteins in SH-SY5Y cells with or without the ACAT1 siRNA pretreatment in the presence of Aβ25–35. Results The expression of ACAT1 was significantly increased in the hippocampus of APP/PSN mice, and also showed an increasing trend when SH-SY5Y cells were exposed to Aβ25–35. Silencing ACAT1 significantly attenuated Aβ-induced cytotoxicity and cell apoptosis in SH-SY5Y cells. The genome-wide correlation analysis showed that Ptgs2 had the most significant correlation with Acat1 in the hippocampus of BXD RI mice. We further determined the regulatory effect of ACAT1 on COX2 expression by silencing or over-expressing ACAT1 in SH-SY5Y cells and found that silencing ACAT1 played a protective role in AD progression by regulating CACNAs and PKC/ERK signaling cascades. Conclusions Silencing ACAT1 attenuates Aβ25–35-induced cytotoxicity and cell apoptosis in SH-SY5Y cells, which may due to the synergistic effect of ACAT1 and COX2 through PKC/ERK pathways.
Bidirectional Visible Light Communications for the Internet of Things. (Communications Bidirectionnelles par Lumière Visible entre un Objet Connecté et un Smartphone Non Modifié)

With the exponential growth of the Internet of Things, people now expect every household appliance to be smart and connected. At the same time, smartphones have become ubiquitous in our daily life. Their continuous performance improvement and their compatibility with a broad range of radio protocols as WiFi, Bluetooth Low Energy (BLE) or NFC make them the most convenient way to interact with these smart objects. However, providing wireless connectivity with BLE or NFC means adding an extra chipset and an antenna, increasing the object size and price. Previous works already have demonstrated the possibility of receiving information through visible light using an unmodified smartphone thanks to its camera. Also, LED-to-LED communication for smart devices like toys has been shown previously. However, past efforts in LED to camera communication for IoT device communication have been limited. In this work, we design LightIoT, a bidirectional visible-light communication (VLC) system between a low-cost, low-power colored LED that is part of an IoT device and an off-the-shelf smartphone. The IoT device is thus able to send and receive information through its LED, while the smartphone uses its camera to receive data and its flashlight to send information. We implement and experimentally evaluate a LED-to-camera VLC system, designed specifically for small LEDs. The proposed solution exploits the rolling shutter effect of unmodified smartphone cameras and an original decoding algorithm, achieving a throughput of nearly 2 kb/s. Based on the insight gained from an extensive experimental study, we model, for the first time in the literature, the LED-to-camera communication channel. We propose a Markov-modulated Bernoulli process model, which allows us to easily study the performance of different message retransmission strategies. We further exploit this model to implement a simulator for LED-to- Camera communications performance evaluation. In order to achieve bi-directional communications, we evaluate flashlight-to- LED communications using non-rooted smartphones and small LEDs. With these constraints, our implementation achieves a throughput of 30 bits/second. While limited, this is enough for a feed-back channel coming to support the required redundancy mechanisms. Some of these redundancy mechanisms are based on random linear coding, never tested previously in VLC. Therefore, we design and implement, for the first time in the literature, a pseudo random linear coding scheme especially fitted for line-of-sight LED-to-camera conditions. Experimental evaluation highlights that this type of approach increases the goodput up to twice compared to classical retransmission strategies. Finally, we compare the energy consumption of LightIoT with the one of a BLE module with similar activity. Our results show that using the LED for communication purposes reduces the energy consumption under a normal usage behavior.
A STUDY TO EVALUATE THE EFFECTIVENESS OF BUERGER-ALLEN EXERCISE IN IMPROVING PERIPHERAL CIRCULATION AMONG DIABETES MELLITUS PATIENT IN SELECTED HOSPITAL AT KANYAKUMARI DISTRICT

A study to evaluate the effectiveness of Buerger-Allen exercise in improving the peripheral circulation among diabetes mellitus patient in a selected hospital at kanyakumari district. Objectives: To assess the pre test and post test level of peripheral circulation among diabetes mellitus patient in experimental and control group. To compare the post test level of peripheral circulation among diabetes mellitus patient between experimental and control group. To associate the pre test level of peripheral circulation among diabetes mellitus patient in experimental group with their selected demographic variables. Findings of the study The Quasi experimental pre and post test control group design was adopted and the selected from Dominic, hospital in kulasekharam chosen for the study. The sample size was 60 and was drawn through purposive sampling technique. The level of peripheral circulation assessed by using modified 60 seconds diabetes foot screen scale. Buerger-Allen exercise was applied for experimental group. Post test done after intervention period, and analyzed by The data gathered were analyzed by descriptive and inferential statistical method and interpretations were made on the basis of the objectives of the study. During posttest, in Experimental group of left leg and right leg 0(0.00%),0(0.00%) had Good blood circulation, 10(33.33%),12(40.00%) had slightly poor blood circulation,20(66.67%),18(60.00%) had Poor blood circulation, 0(0.00%),0(0.00%) had Very Poor blood circulation respectively. It revealed that among experimental group diabetes mellitus patient in the mean score of left leg right leg was 16.56 and 17.06 in pre test, 13.33 and13.00 in post test. The paired ‘t’ value was 9.35 and12.51* which is significant at p >0.05respectively.
Gender Differences in Prescription Opioid Misuse Among U.S. Black Adults

Abstract Background: Prescription opioid misuse (POM) is a significant problem among U.S. adults, including Blacks, as indicated by past research. Despite potential gender differences in POM among Black adults, previous research has yet to examine this possibility. Objectives: This study identified the prevalence and unique correlates of POM among both Black men and Black women. Results were compared to those of Whites. Methods: We used data from 2015–2016 National Survey on Drug Use and Health (N = 60,133). Weighted logistic regression models stratified by race and gender were estimated. One model was stratified by gender only, with race serving as the primary predictor. Results: Findings revealed 3.4% of Black women, 4.9% of Black men, 4.1% of White women, and 5.4% of White men reported past-year POM; although, no significant differences were found. Among Black women only, lower socioeconomic status increased odds of POM. Higher educational attainment, residence in rural areas and older age lowered odds of POM. Encounters with drug dealers, illicit drug, marijuana, and tobacco use, other prescription drug misuse, and poor health were associated with increased odds of POM among Black men. In the gender stratified models, White men were more likely to report POM than Black men. However, White women were not more likely to report POM compared to Black women. Conclusions: Clear gender differences exist in the prevalence and correlates of POM among Black adults. Prevention and intervention strategies must be cognizant of these differences when developing programs to decrease POM.
Job Strain and Long-Term Sickness Absence From Work: A Ten-Year Prospective Study in German Working Population

Objective: The aim of this study was to examine the prospective associations between baseline job strain and 10-year cumulative incidence of long-term sickness absence (LTSA) in the German workforce. Methods: This study used longitudinal data from the 2001 to 2011 waves of The German Socio-Economic Panel (SOEP) (n = 9794). Kaplan–Meier survival curves and Cox proportional hazard regression models were used to examine the prospective association between job strain and incidence of LTSA. Results: High strain [hazard ratio (HR) = 1.28, 95% confidence interval (95% CI) = 1.12 to 1.46] and passive jobs (HR = 1.14, 95% CI = 1.01 to 1.30) were significantly associated with LTSA after full adjustment for covariates, with greater risk in the older participants (>45) in passive (HR = 1.33, 95% CI = 1.08 to 1.63) and high strain (HR = 1.56, 95% CI = 1.27 to 1.92) jobs. Conclusion: Jobs with low control over work were associated with LTSA in German workers. More studies using longitudinal employment data, and more detailed job strain measures are warranted.
Open Strategy Intermediaries? A Framework for Understanding the Role of Facilitators in Open Strategy-Making

Open strategy is an emerging phenomenon, and has received significant interest by researchers in both information systems (IS) and strategy fields. The term open strategy represents how strategy-making is becoming a more inclusive and transparent process in organizations, often enabled by information technology (IT). Despite the notable attention paid to the role of IT in the facilitation of open strategy, those practitioners who are also central in such socio-technical processes of change have received scant attention to date by scholars. This paper therefore seeks to examine the role of facilitators in IT-driven open strategy. We term these ‘open strategy intermediaries’. Using a strategy-as-practice lens and drawing on several empirical cases of IT-driven open ‘strategizing’, the article highlights six emerging practices by open strategy intermediaries which we call: (i) Initiation, (ii) Provision, (iii) Infrastructure and design, (iv) Promotion and communi-cation, (v) Mediation and moderation, and (vi) Strategy analysis and development. In concluding the paper, we detail how we intend to continue the research evident in this ongoing work.
Coinfection Organizes Epidemiological Networks of Viruses and Hosts and Reveals Hubs of Transmission.

Multiple virus infections affect the competence of host plants to transmit disease. The effects of coinfection on transmission are expected to produce ecologically complex pathogen and host-pathogen interactions. However, the prediction of disease risk will rely on untangling nonrandom from random patterns of infection to identify underlying processes that drive these interactions. Are the spatial distributions of infections in complex multispecies systems random or not? For the first time, we use an empirical evaluation of this basic but nontrivial question to test the hypothesis that coinfection contributes to (i) nonrandom ecological interactions between hosts and viruses and (ii) structuring infection distributions. We use a novel approach that decomposed the ecological interactions of 11 generalist viruses in 47 host species in four habitats of an agroecosystem into single-infection and coinfection "modes. " Then, we relate ecological structuring in infection networks to the distribution of infection using generalized regression models. The network analyses of coinfection showed that virus-host interactions occurred more often than expected at random in one of the four habitats, Edge. A pattern of specific interactions was shared between Edge and the ecosystem, indicating scale invariance. The regression modeling also showed that the plant community characteristics of Edge were unique in explaining infection distributions. The results showed that the spatial distribution of infection at the ecosystem level was not only a species-specific phenomenon but also, strongly structured by specific virus-virus and host-virus interactions. The evidence of scale invariance and the special role of Edge as a reservoir suggest that ecological interactions were less strongly structured by community differences among habitats than by wider-scale processes and traits underlying the interactions. Addressing whether reservoir communities significantly contribute to epidemiological processes at the ecosystem scale is a promising avenue for future research.