Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a multilayer snow scheme on the global teleconnections of the Indian summer monsoon

Eurasian snow is one of the slowly varying boundary forcings known to have significant influences on the mean and variability of the Indian summer monsoon rainfall (ISMR). A multilayer complex snow scheme, incorporated into the state‐of‐the‐art coupled Climate Forecast System version 2 (CFSv2) showed significant improvements in the simulation of mean ISMR, snow, and Northern Hemisphere surface and tropospheric temperature. Here we show that a realistic simulation of high‐latitude snow decreases the north–south temperature gradient, which in turn decreases the meridional transport of energy from the Equator to the Pole, consequently affecting the tropical sea surface temperature (SST) and air–sea interactions. The global teleconnections of the ISMR with SST and 2 m temperature over land are also improved considerably in association with improved simulation of the oceanic natural modes of variability. Our findings provide new insights for the relationship between the winter Eurasian snow and the following ISMR, namely that the same relationship may be understood through a framework of meridional atmospheric energy transport and its effects on the tropical air–sea interactions. The improvements in the global teleconnection in the modified version of CFSv2 may have implications in the ISMR predictability and prediction skill.
Exploring the phenomenon of intrusive mental imagery after suicide bereavement: A qualitative interview study in a British sample

Introduction Each year an estimated 48 million people are bereaved by suicide internationally. Following traumatic events, experiencing intrusive mental imagery relating to the trauma is not uncommon. This phenomenological study aimed to explore the nature, experience and impact of intrusive mental imagery after suicide bereavement. Methods Semi-structured interview transcripts with 18 adults bereaved by the suicide of a close contact were analysed using thematic analysis to explore patterns and themes within the data, with particular consideration of the content of images, how people experience and relate to the imagery, and the impact that the imagery has on the bereaved. Results Thematic analysis identified common characteristics in the experience of intrusive mental imagery following suicide loss, summarised under two main themes capturing: 1) the descriptive characteristics and 2) the emotional experience of intrusive mental imagery following suicide loss. The majority of participants found the experience of intrusive imagery distressing, but most also described positive aspects, including help in making sense of the death and retaining memories of the deceased. Conclusion Findings inform our understanding of the distressing experience of intrusive imagery after suicide loss, also revealing perceived value in processing the death.
Actuator Security Indices Based on Perfect Undetectability: Computation, Robustness, and Sensor Placement

We propose an actuator security index that can be used to localize and protect vulnerable actuators in a networked control system. Particularly, the security index of an actuator equals to the minimum number of sensors and actuators that need to be compromised, such that a perfectly undetectable attack against that actuator can be conducted. We derive a method for computing the index in small-scale systems and show that the index can potentially be increased by placing additional sensors. The difficulties that appear once the system is of a large-scale are then outlined: The index is NP-hard to compute, sensitive with respect to system variations, and based on the assumption that the attacker knows the entire system model. To overcome these difficulties, a robust security index is introduced. The robust index can characterize actuators vulnerable in any system realization, can be calculated in polynomial time, and can be related to limited model knowledge attackers. Additionally, we analyze two sensor placement problems with the objective to increase the robust indices. We show that the problems have submodular structures, so their suboptimal solutions with performance guarantees can be computed in polynomial time. Finally, we illustrate the theoretical developments through examples.
Predicting attitudes toward mitigation interventions and social distancing behaviors at the onset of the COVID-19 pandemic in the United States

ABSTRACT Aim The goal of this research was to assess the influence of adult attachment, personality, and cultural orientation on social distancing and attitudes toward COVID-19 mitigation interventions. Methods Survey data was collected across two samples (NMTurk = 201, Nsnowball = 242) in the US from April 29 to May 11, 2020. Adult attachment was assessed via the Experiences in Close Relationships Scale-Short Form (ECR-S; Wei, M., Russell, D. W., Mallinckrodt, B., & Vogel, D. L. (2007). The experiences in close relationship scale (ECR)-short form: Reliability, validity, and factor structure. Journal of Personality Assessment, 88(2), 187–204), personality was assessed via the Ten Item Personality Inventory (TIPI; Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528), cultural orientation was assessed via the Horizontal and Vertical Individualism and Collectivism Scale (Triandis, H. C., & Galfand, M. J. (1998). Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology, 74(1), 118–128), and social distancing and attitudes toward mitigation interventions were assessed via self-report measures developed for this assessment. Results In the MTurk sample, agreeableness (β = .19) and conscientiousness (β = .26) predicted positive mitigation intervention attitudes. Agreeableness (β = .24) and vertical collectivism (β = .25) positively predicted social distancing, while attachment anxiety (β = −.32) and vertical individualism (β = −.32) negatively predicted social distancing. In our snowball sample, residing primarily in New York, openness (β = .18) and horizontal collectivism (β = .16) predicted positive intervention attitudes, while horizontal individualism (β = −.20) predicted negative attitudes. Social contact in this sample was low and not associated with predictor variables. In both samples, mitigation attitudes and social distancing were only moderately correlated. Implications Our findings highlight the inherent inconsistency between attitudes and behaviors as well as the potential impact of mandated interventions on both attitudes and behavior.
District-level heterogeneity in overweight or obesity among women of reproductive age: A geo-spatial analysis in India

Background Globally by 2030, 38% of the world’s population would be overweight, and another 20% would be obese. This has led to rising concerns regarding how swiftly and substantially the world is moving towards this epidemic of "globesity". India too is facing an increased burden of overweight and obese population. The changing dietary patterns are significantly associated with the increasing prevalence of overweight/obesity and related complications, especially among women. Hence, the present study aims to observe the spatial patterns of overweight or obesity among women in reproductive age group in India and factors associated with it. Methods The study analyzed data from a cross-sectional nationwide household survey, i.e. National Family Health Survey (NFHS-4), 2015–16. The primary outcome variable of this study was overweight/obesity among reproductive-age women, which was measured through the body mass index (BMI) of the women. Bivariate and multivariate logistic regression analysis was used to analyze the data. Additionally, for spatial analysis in terms of overweight/obesity among women in India, univariate and bivariate Moran’s I index measurements were used along with the usage of spatial regression models. Results The value of spatial-autocorrelation for overweight or obese was 0.64, which depicts the moderately high prevalence of the overweight/obesity coverage over districts of India. The overall prevalence overweight/obesity among women in India is around 25% and higher proportion of women from urban areas (37.8%), and non-poor (33.4%) economic group reported to be overweight or obese. From spatial lag model, the lag coefficient was found to be 0.28, implying that a change in the prevalence of overweight/obesity among women in a certain district may statistically lag the prevalence of overweight/obesity by 28% in the neighbouring districts. There were significantly high clustering of overweight/obese women and non-poor wealth quintiles in 132 districts, mainly from states of Punjab, Haryana, Gujarat, Maharashtra, Kerala, Tamil Nadu, Karnataka and Andhra Pradesh. Additionally, there was high-high clustering of overweight/obese women and those who ever had caesarean in 82 districts, mostly from Kerala, Tamil Nadu, Andhra Pradesh and Karnataka. Conclusion The spatial patterns on the prevalence of overweight and obesity in India show that the women belonging to the southern states’ districts are more overweight or obese in comparison to other states. The determinants like older age, higher education, urban residence, higher economic status are the key factors contributing to the prevalence of overweight or obesity among women in the reproductive age group. The study concludes and recommends an urgent need of interventions catering to urban women belonging to higher socio-economic status, to reduce the risks of health consequences due to overweight and obesity.
The complete mitochondrial genome of Helicana japonica (Crustacea, Decapoda, Varunidae) from South Korea

Abstract Helicana japonica mainly inhabits burrowed holes in the mudflats and intertidal zones. Specimens from the Republic of Korea were collected and whole genomic DNA from the cheliped muscle tissue was extracted. We determined the complete mitochondrial genome using Illumina HiSeq X Ten. The mitogenome is 16,535 bp in length and consists of 13 protein-coding genes, 2 rRNA genes, and 22 tRNA genes. A phylogenetic tree was reconstructed using the maximum-likelihood of phylogeny methods. H. japonica formed a sister clade with Helicana wuana, which is another Helicana species.
Outcomes of minimal change disease without nephrotic range proteinuria

Minimal change disease (MCD) is characterized by edema and nephrotic range proteinuria (NS). However, the fate of MCD without nephrotic proteinuria requires elucidation. We retrospectively reviewed 79 adults diagnosed with primary MCD at their initial renal biopsy at a tertiary hospital between May 2003 and June 2017. Clinicopathologic features were compared between patients with and without NS. The frequency of flaring to nephrotic proteinuria and renal outcomes were assessed during follow-up. There were 20 and 59 patients in the Non-NS and NS groups, respectively. The Non-NS group had a lower frequency of acute kidney injury (AKI) during the follow-up period [5.0% vs. 59.3%, p <0.001]. The response rate to steroid treatment was 100% in the Non-NS group and 92.3% in the NS group (p = 1.000). Except for one patient, the Non-NS group was treated with steroids when their proteinuria increased to a nephrotic level. There were no differences in the frequency of the first relapse or the number of relapses among patients with initial remission from nephrotic range proteinuria. At the final visit, the complete remission rate was 73.4%. The estimated glomerular filtration rate during follow-up was significantly better in the NS group than the Non-NS group, given the higher rates of AKI at renal biopsy. The rates of renal events, end-stage renal disease, and mortality did not differ between the groups. Adult MCD patients with nephrotic and non-nephrotic range proteinuria showed similar outcomes. Accordingly, this population must be carefully managed, regardless of the amount of proteinuria at renal biopsy.
Generalization of finetuned transformer language models to new clinical contexts

Abstract Objective We have previously developed a natural language processing pipeline using clinical notes written by epilepsy specialists to extract seizure freedom, seizure frequency text, and date of last seizure text for patients with epilepsy. It is important to understand how our methods generalize to new care contexts. Materials and methods We evaluated our pipeline on unseen notes from nonepilepsy-specialist neurologists and non-neurologists without any additional algorithm training. We tested the pipeline out-of-institution using epilepsy specialist notes from an outside medical center with only minor preprocessing adaptations. We examined reasons for discrepancies in performance in new contexts by measuring physical and semantic similarities between documents. Results Our ability to classify patient seizure freedom decreased by at least 0.12 agreement when moving from epilepsy specialists to nonspecialists or other institutions. On notes from our institution, textual overlap between the extracted outcomes and the gold standard annotations attained from manual chart review decreased by at least 0.11 F1 when an answer existed but did not change when no answer existed; here our models generalized on notes from the outside institution, losing at most 0.02 agreement. We analyzed textual differences and found that syntactic and semantic differences in both clinically relevant sentences and surrounding contexts significantly influenced model performance. Discussion and conclusion Model generalization performance decreased on notes from nonspecialists; out-of-institution generalization on epilepsy specialist notes required small changes to preprocessing but was especially good for seizure frequency text and date of last seizure text, opening opportunities for multicenter collaborations using these outcomes.
Characterization of the complete chloroplast genome of Carallia brachiata (Lour.) Merr. (Rhizophoraceae)

Abstract Carallia brachiata (Lour.) Merr. (1919) is an important medical resource distributed across subtropical Asia. In this study, the complete chloroplast genome of C. brachiata was sequenced, revealing a total length of 162,460 bp, including four regions – a large single copy (89,814 bp), a small single copy (18,804 bp), and a pair of inverted repeats (26,921 bp each). The overall guanine + cytosine content was 35.76%. In total, 130 genes were annotated within the chloroplast genome, comprising 85 protein-coding, 37 tRNA, and 8 rRNA genes. Subsequent phylogenetic analyses revealed that C. brachiata is closely related to Carallia diplopetala.
Compact asymmetric cross‐shaped rectangular dielectric resonator antenna for wideband circular polarization

A compact asymmetric cross‐shaped dielectric resonator (DR) antenna with broadside wideband circularly polarized has been investigated by using the coaxial probe feeding technique. The presented antenna consists of the asymmetric cross‐shaped DR, a metal strip, and a coaxial feed. Here, the metal strip is used at the corner of the cross‐shaped DR to reduce the excessive tangential electric field and acts as a mirror for the normal filed components. Therefore, the orthogonal modes TExδ11 and TEy1δ1 are excited at resonance frequencies of 4.55 GHz and 5.55 GHz in this antenna structure, and because of these modes, the proposed antenna is able to produce CP fields. The antenna with −10 dB impedance bandwidth provides the measured results of 43.84%, whereas the measured 3‐dB axial ratio bandwidth is found to be 11.23%. Moreover, the proposed antenna shows low profile geometry, that is, 0. 175λ0, where λ0 is the wavelength at the central frequency.
Reduced running performance and greater perceived exertion, but similar post-exercise neuromuscular fatigue in tropical natives subjected to a 10 km self-paced run in a hot compared to a temperate environment

Environmental heat stress impairs endurance performance by enhancing exercise-induced physiological and perceptual responses. However, the time course of these responses during self-paced running, particularly when comparing hot and temperate conditions, still needs further clarification. Moreover, monitoring fatigue induced by exercise is paramount to prescribing training and recovery adequately, but investigations on the effects of a hot environment on post-exercise neuromuscular fatigue are scarce. This study compared the time course of physiological and perceptual responses during a 10 km self-paced treadmill run (as fast as possible) between temperate (25°C) and hot (35°C) conditions. We also investigated the changes in countermovement jump (CMJ) performance following exercise in these two ambient temperatures. Thirteen recreational long-distance runners (11 men and 2 women), inhabitants of a tropical region, completed the two experimental trials in a randomized order. Compared to 25°C, participants had transiently higher body core temperature (TCORE) and consistently greater perceived exertion while running at 35°C (p < 0.05). These changes were associated with a slower pace, evidenced by an additional 14 ± 5 min (mean ± SD) to complete the 10 km at 35°C than at 25°C (p < 0.05). Before, immediately after, and 1 h after the self-paced run, the participants performed CMJs to evaluate lower limb neuromuscular fatigue. CMJ height was reduced by 7.0% (2.3 ± 2.4 cm) at 1 h after the race (p < 0.05) compared to pre-exercise values; environmental conditions did not influence this reduction. In conclusion, despite the reduced endurance performance, higher perceived exertion, and transiently augmented TCORE caused by environmental heat stress, post-exercise neuromuscular fatigue is similar between temperate and hot conditions. This finding suggests that the higher external load (faster speed) at 25°C compensates for the effects of more significant perceptual responses at 35°C in inducing neuromuscular fatigue.
Neuron-binding antibody responses are associated with Black ethnicity in multiple sclerosis during natalizumab treatment

Abstract Multiple sclerosis is an inflammatory degenerative condition of the central nervous system that may result in debilitating disability. Several studies over the past twenty years suggest that multiple sclerosis manifests with a rapid, more disabling disease course among individuals identifying with Black or Latin American ethnicity relative to those of White ethnicity. However, very little is known about immunologic underpinnings that may contribute to this ethnicity-associated discordant clinical severity. Given the importance of B cells to multiple sclerosis pathophysiology, and prior work showing increased antibody levels in the cerebrospinal fluid of Black-identifying, compared to White-identifying multiple sclerosis patients, we conducted a cohort study to determine B cell subset dynamics according to both self-reported ethnicity and genetic ancestry over time. Further, we determined relationships between ethnicity, ancestry, and neuron-binding IgG levels. We found significant associations between Black ethnicity and elevated frequencies of class-switched B cell subsets, including memory B cells; double negative two B cells; and antibody-secreting cells. The frequencies of these subsets positively correlated with West African genetic ancestry. We also observed significant associations between Black ethnicity and increased IgG binding to neurons. Our data suggests significantly heightened T cell-dependent B cell responses exhibiting increased titres of neuron-binding antibodies among individuals with multiple sclerosis identifying with the Black African diaspora. Factors driving this immunobiology may promote the greater demyelination, central nervous system atrophy and disability more often experienced by Black-, and Latin American-identifying individuals with multiple sclerosis.
Ecological convergence in phytochemistry and flower–insect visitor interactions along an Andean elevation gradient

Abstract The diversity of specialized molecules produced by plants radiating along ecological gradients is thought to arise from plants' adaptations to local conditions. Therefore, closely related species growing in similar habitats should phylogenetically converge, or diverge, in response to similar climates, or similar interacting animal communities. We here asked whether closely related species in the genus Haplopappus (Asteraceae) growing within the same elevation bands in the Andes, converged to produce similar floral odors. To do so, we combine untargeted analysis of floral volatile organic compounds with insect olfactory bioassay in congeneric Haplopappus (Asteraceae) species growing within the same elevation bands along the Andean elevational gradient. We then asked whether the outcome of biotic interactions (i.e., pollination vs. seed predation) would also converge across species within the same elevation. We found that flower odors grouped according to their elevational band and that the main floral visitor preferred floral heads from low‐elevation band species. Furthermore, the cost–benefit ratio of predated versus fertilized seeds was consistent within elevation bands, but increased with elevation, from 6:1 at low to 8:1 at high elevations. In the light of our findings, we propose that climate and insect community changes along elevation molded a common floral odor blend, best adapted for the local conditions. Moreover, we suggest that at low elevation where floral resources are abundant, the per capita cost of attracting seed predators is diluted, while at high elevation, sparse plants incur a higher herbivory cost per capita. Together, our results suggest that phytochemical convergence may be an important factor driving plant–insect interactions and their ecological outcomes along ecological gradients.
Turkish Validity and Reliability Study of the FiveFactor Personality Types Scale among Academicians

The purpose of this study is to examine the validity and reliability of the Turkish form of the "The Big Five Inventory" Scale, which was developed by John & Naumann & Soto (2008), belonging to California Berkeley Personality Laboratory (John & Srivastava) (1999), in a sample of academicians. The study was conducted in February-June 2020. The sample in Turkey who work in state and private universities, research assistants, specialists, lecturers, assistant professors, associate professors and professors constitute 407 academics working in the team. The data were collected using the Sociodemographic Information Form and the Five-Factor Personality Types Scale. The structure validity of the scale was examined by factor analysis using the varimax axis rotation method. The reliability of the scale was evaluated by internal consistency, reliability coefficient and item-total score correlation; Test-retest reliability analysis was performed for time invariance. As a result of the factor analysis, five factors were found that meet 65.422% of the total variance and have an eigenvalue higher than 1. The factor loads of the items vary between 0.342-0.589. Cronbach's Alpha analysis was used to determine the internal consistency of the scale; the internal consistency coefficient for the whole scale is 0.917. The Turkish form of the Five-Factor Personality Types Scale is a valid and reliable scale that can be used to evaluate personality types in academics. Discussion: Suggestions were made in accordance with the findings.