Miracle-dz/UniFAR-FTUs huggingface dataset:
Extreme AGN Feedback and Cool Core Destruction in the X-ray Luminous Galaxy Cluster MACS J1931.8-2634

We report on a deep, multiwavelength study of the galaxy cluster MACS J1931.8-2634 using Chandra X-ray, Subaru optical, and VLA 1.4 GHz radio data. This cluster (z=0.352) harbors one of the most X-ray luminous cool cores yet discovered, with an equivalent mass cooling rate within the central 50 kpc is approximately 700 solar masses/yr. Unique features observed in the central core of MACSJ1931.8-2634 hint to a wealth of past activity that has greatly disrupted the original cool core. We observe a spiral of relatively cool, dense, X-ray emitting gas connected to the cool core, as well as highly elongated intracluster light (ICL) surrounding the cD galaxy. Extended radio emission is observed surrounding the central AGN, elongated in the east-west direction, spatially coincident with X-ray cavities. The power input required to inflate these `bubbles' is estimated from both the X-ray and radio emission to reside between 4 and 14e45 erg/s, putting it among the most powerful jets ever observed. This combination of a powerful AGN outburst and bulk motion of the cool core have resulted in two X-ray bright ridges to form to the north and south of the central AGN at a distance of approximately 25 kpc. The northern ridge has spectral characteristics typical of cool cores and is consistent with being a remnant of the cool core after it was disrupted by the AGN and bulk motions. It is also the site of H-alpha filaments and young stars. The X-ray spectroscopic cooling rate associated with this ridge is approximately 165 solar masses/yr, which agrees with the estimate of the star formation rate from broad-band optical imaging (170 solar masses/yr). MACS J1931.8-2634 appears to harbor one of most profoundly disrupted low entropy cores observed in a cluster, and offers new insights into the survivability of cool cores in the context of hierarchical structure formation.
Diet of juveniles and adults of the Cuban Giant Frog, Eleutherodactylus zeus
(Anura: Eleutherodactylidae)

Anurans are gape-limited predators and therefore larger individuals are capable of consuming larger prey. Stomach contents of the Cuban Giant Frog, Eleutherodactylus zeus, from caves in the northeastern-most part of the Sierra de Quemados in Viñales National Park, Pinar del Río Province, Cuba, were indicative of ontogenetic changes in diet. Although niche overlap among size classes was relatively high, larger frogs consumed larger but fewer prey items. Predator and prey sizes were positively correlated in both adults and juveniles, whereas predator size and number of prey items per stomach was negatively correlated.
Computer Vision and Deep Learning-enabled Weed Detection Model for Precision Agriculture

Presently, precision agriculture processes like plant disease, crop yield prediction, species recognition, weed detection, and irrigation can be accomplished by the use of computer vision (CV) approaches. Weed plays a vital role in influencing crop productivity. The wastage and pollution of farmland's natural atmosphere instigated by full coverage chemical herbicide spraying are increased. Since the proper identification of weeds from crops helps to reduce the usage of herbicide and improve productivity, this study presents a novel computer vision and deep learning based weed detection and classification (CVDL-WDC) model for precision agriculture. The proposed CVDL-WDC technique intends to properly discriminate the plants as well as weeds. The proposed CVDL-WDC technique involves two processes namely multiscale Faster RCNN based object detection and optimal extreme learning machine (ELM) based weed classification. The parameters of the ELM model are optimally adjusted by the use of farmland fertility optimization (FFO) algorithm. A comprehensive simulation analysis of the CVDL-WDC technique against benchmark dataset reported the enhanced outcomes over its recent approaches interms of several measures.
Elevating Air Temperature May Enhance Future Epidemic Risk of the Plant Pathogen Phytophthora infestans

Knowledge of pathogen adaptation to global warming is important for predicting future disease epidemics and food production in agricultural ecosystems; however, the patterns and mechanisms of such adaptation in many plant pathogens are poorly understood. Here, population genetics combined with physiological assays and common garden experiments were used to analyze the genetics, physiology, and thermal preference of pathogen aggressiveness in an evolutionary context using 140 Phytophthora infestans genotypes under five temperature regimes. Pathogens originating from warmer regions were more thermophilic and had a broader thermal niche than those from cooler regions. Phenotypic plasticity contributed ~10-fold more than heritability measured by genetic variance. Further, experimental temperatures altered the expression of genetic variation and the association of pathogen aggressiveness with the local temperature. Increasing experimental temperature enhanced the variation in aggressiveness. At low experimental temperatures, pathogens from warmer places produced less disease than those from cooler places; however, this pattern was reversed at higher experimental temperatures. These results suggest that geographic variation in the thermal preferences of pathogens should be included in modeling future disease epidemics in agricultural ecosystems in response to global warming, and greater attention should be paid to preventing the movement of pathogens from warmer to cooler places.
Assessing rural farmers’ willingness to pay for crop insurance scheme: Evidence from Rwanda

Abstract Agriculture plays a significant role in Rwanda’s economic growth but is still highly rain-fed with risks and losses caused by adverse natural and climate shocks. Agricultural insurance schemes are widely recognized as potential risk management strategies. This study aims to examine the determinants of farmers’ willingness to insure maize farms and the premium farmers are willing to pay for crop insurance. The data used in this study were obtained from a household survey conducted in Eastern Rwanda and a sample of 325 households was drawn. A double-hurdle model is used for empirical analysis and the findings show that education, land tenure, farm size, group membership, and insurance awareness have a positive effect on maize farmers’ decision to adopt crop insurance. Regarding the determinants of willingness to pay, education, land tenure, farm size, credit access, and income positively influenced the insurance premium maize farmers were willing to pay whereas household size negatively influenced the premium farmers were willing to pay for crop insurance. The study recommends policy frameworks that strengthen the education in rural communities about the usefulness of crop insurance to enhance farmers’ participation in crop insurance and increase the premium farmers will be willing to pay for crop insurance. Besides, the study highlights the importance of building the capacity of farmers’ groups or cooperatives to promote the uptake of crop insurance as well as the premium to be paid. The study also recommends the improvement of farmers’ access to credit facilities to allow farmers to get the financial capability.
Management of Post-Traumatic Dental Care Anxiety in Pediatric Dental Practice—A Clinical Study

Background: It is important to avoid giving children traumatic dental experiences that induce post-traumatic dental care anxiety (PTDA) in clinical dental practices. The aim of this study was to evaluate whether non-pharmacological behavior management procedures can effectively reduce the use of pharmacological behavior management in children who have PTDA and are referred for regular dental treatments under general anesthesia (GA) and sedation. Methods: This clinical study consisted of two groups. The treatment group involved 20 healthy children aged 4–14 with PTDA and also those referred by other institutions for dental treatment with/without GA. The control group was sampled retrospectively from the patient records and involved 20 healthy uncooperative children aged 4–14 with PTDA who had been treated under GA. Results: The number of multiple appointments was significantly higher in the treatment group than in the control group. Only 25% of children in the treatment group underwent GA and the rest (75%) were managed with non-pharmacological management techniques. Nine (60%) children who were treated with minimally invasive techniques did not require GA. Conclusions: It is important to treat children as much as possible without causing PTDA by using appropriate behavior management techniques. This study emphasizes the usefulness of thoroughly employing non-pharmacological behavior management methods before directing a child with PTDA for dental treatment under pharmacological behavior management, which can prevent the over-utilization of sedation and GA.
Hydrodynamic fluctuations, broken symmetry, and correlation functions

* Publishers Foreword * Editors Foreword * Introduction * A Simple ExampleSpin Diffusion * Formal Properties of Correlation Functions * The Normal Fluid * The Memory Function Formalism * Brownian Motion * Broken Symmetry * Hydrodynamic Spin Waves in Ferromagnets * Hydrodynamic Spin Waves in Antiferromagnets * Superfluids * Nematic Liquid Crystals * Superconductors
Capturing Beginning Teacher�s Emotional Experiences in Teaching: An Analysis of Teaching Case in Introduction to Literature Class

Teachers frequently experience a wide variety of emotions during their teaching services. It is reported that the teachers �emotional experiences affect their performances in the classroom and can be one of the main sources of burnout and retention. This study captures the emotional experiences faced by a beginning teacher in her first days in the teaching practice program in an institution. This is a self-study with descriptive qualitative as the method of research. The researcher analyzed the teaching reflection as the instrument of the research. Based on the reflection, the teacher experienced emotional teaching practice mostly in dealing with the students� behavior, discipline and engagement. She is also emotionally triggered in dealing with dissatisfaction and students� effort in learning. Before pre-service teachers begin their teaching practice in schools, it is suggested that education study programs draw attention to this problem. Pre-service teachers must also comprehend the significance of reflective practices so that they can learn from their classroom performances and encounters. Future researchers are urged to investigate teachers� emotional experiences in a broader context and with a greater number of participants.
Cuffless Blood Pressure Monitoring: Academic Insights and Perspectives Analysis

In recent decades, cuffless blood pressure monitoring technology has been a point of research in the field of health monitoring and public media. Based on the web of science database, this paper evaluated the publications in the field from 1990 to 2020 using bibliometric analysis, described the developments in recent years, and presented future research prospects in the field. Through the comparative analysis of keywords, citations, H-index, journals, research institutions, national authors and reviews, this paper identified research hotspots and future research trends in the field of cuffless blood pressure monitoring. From the results of the bibliometric analysis, innovative methods such as machine learning technologies related to pulse transmit time and pulse wave analysis have been widely applied in blood pressure monitoring. The 2091 articles related to cuffless blood pressure monitoring technology were published in 1131 journals. In the future, improving the accuracy of monitoring to meet the international medical blood pressure standards, and achieving portability and miniaturization will remain the development goals of cuffless blood pressure measurement technology. The application of flexible electronics and machine learning strategy in the field will be two major development directions to guide the practical applications of cuffless blood pressure monitoring technology.
Interferometer Design for Attosecond Experiments

Resolving fast events, such as electron dynamics, requires short light pulses. To this date the shortest available light pulses are created using High-order Harmonic Generation (HHG) and have a duration of a few hundred attoseconds (1 as = $10^{-18}$ s). When used for pump-probe experiments, these pulses are generated in an interferometer, which needs to be stable for the experiment to yield high quality data. In this project the effect of interferometer stability (seen as uncertainty in the time delay, $\Delta\tau$) on the possibility to extract a phase with high precision from data has been investigated. This was done by simulations in MATLAB. It was found that even with a large error in the time delay ($\sigma_{\Delta\tau} = 0.20T$) it is possible to extract a phase with a small error ($\sigma_{\phi}<0.001T$), if the number of data points is sufficient ($N = $100 000). Furthermore the effect of some aspects of interferometer design on the stability of interferometers was investigated by simulations in the ray tracing program FRED. An interferometer design was modified in one aspect at the time and the stability, in terms of spatial and temporal drift, was measured for each modification. In this way it was found that an interferometer should 1) be small, 2) have equal parity of the number of focusing lenses and mirrors, respectively, in its two arms, 3) have focusing lenses of equal focal length in its arms, and 4) have its mirrors perfectly aligned, to be as stable as possible. For short: a stable interferometer is small and symmetric.
Relationship between Doping Prevalence and Socioeconomic Parameters: An Analysis by Sport Categories and World Areas

Socioeconomic differences between countries, including corruption and doping scandals, have increased in the last few decades. The aims of the current investigation were to examine doping prevalence according to world areas and sport groups and its association with socioeconomic factors worldwide. The Anti-Doping Rule Violations (ADRVs) of 160 countries competing at 2016 Olympics were analyzed between 2013 and 2018. In addition, the relationship between doping prevalence and socioeconomic characteristics, including Human Development Index (HDI), Per Capita Income (PCI) and Corruption Index (CI), was investigated. Africa, Asia, and America were revealed to have a significantly lower doping prevalence than Europe and Oceania when observing the sum and the mean ADRV/10,000 inhabitants (p < 0.01). Strong to moderate correlations were identified between Corruption Index and ADRVs and HDI and ADRVs (p < 0.01). However, the number of Olympic athletes was positively associated with the ADRVs and the HDI (r = 0.663 and 0.424, respectively). In the comparison by sport groups, the Independent Recognized Sports (AIMS) showed significantly higher Adverse Analytical Findings (AAF) and ADRVs (p < 0.01) than Olympic and Recognized International Sports (ARISF). In conclusion, the results of the current study reveal doping prevalence differences between world areas and sport categories, identifying associations with socioeconomic characteristics of each country.
Properties of Leukemic Stem Cells in Regulating Drug Resistance in Acute and Chronic Myeloid Leukemias

Notoriously known for their capacity to reconstitute hematological malignancies in vivo, leukemic stem cells (LSCs) represent key drivers of therapeutic resistance and disease relapse, posing as a major medical dilemma. Despite having low abundance in the bulk leukemic population, LSCs have developed unique molecular dependencies and intricate signaling networks to enable self-renewal, quiescence, and drug resistance. To illustrate the multi-dimensional landscape of LSC-mediated leukemogenesis, in this review, we present phenotypical characteristics of LSCs, address the LSC-associated leukemic stromal microenvironment, highlight molecular aberrations that occur in the transcriptome, epigenome, proteome, and metabolome of LSCs, and showcase promising novel therapeutic strategies that potentially target the molecular vulnerabilities of LSCs.
Global solutions and asymptotic behavior for two dimensional gravity water waves

This paper is devoted to the proof of a global existence result for the water waves equation with smooth, small, and decaying at infinity Cauchy data. We obtain moreover an asymptotic description in physical coordinates of the solution, which shows that modified scattering holds. The proof is based on a bootstrap argument involving $L^2$ and $L^\infty$ estimates. The $L^2$ bounds are proved in a companion paper of this article. They rely on a normal forms paradifferential method allowing one to obtain energy estimates on the Eulerian formulation of the water waves equation. We give here the proof of the uniform bounds, interpreting the equation in a semi-classical way, and combining Klainerman vector fields with the description of the solution in terms of semi-classical lagrangian distributions. This, together with the $L^2$ estimates of the companion paper, allows us to deduce our main global existence result.
Continuum surveys with LOFAR and synergy with future large surveys in the 1-2 GHz band

Radio astronomy is entering the era of large surveys. This paper describes the plans for wide surveys with the LOw Frequency ARray (LOFAR) and their synergy with large surveys at higher frequencies (in particular in the 1-2 GHz band) that will be possible using future facilities like Apertif or ASKAP. The LOFAR Survey Key Science Project aims at conducting large-sky surveys at 15, 30, 60, 120 and 200 MHz taking advantage of the wide instantaneous field of view and of the unprecedented sensitivity of this instrument. Four topics have been identified as drivers for these surveys covering the formation of massive galaxies, clusters and black holes using z>6 radio galaxies as probes, the study of the intercluster magnetic fields using diffuse radio emission and Faraday rotation measures in galaxy clusters as probes and the study of star formation processes in the early Universe using starburst galaxies as probes. The fourth topic is the exploration of new parameter space for serendipitous discovery taking advantage of the new observational spectral window open up by LOFAR. Here, we briefly discuss the requirements of the proposed surveys to address these (and many others! ) topics as well as the synergy with other wide area surveys planned at higher frequencies (and in particular in the 1-2 GHz band) with new radio facilities like ASKAP and Apertif. The complementary information provided by these surveys will be crucial for detailed studies of the spectral shape of a variety of radio sources (down to sub-mJy sources) and for studies of the ISM (in particular HI and OH) in nearby galaxies.
The Communication Chain of Genetic Risk: Analyses of Narrative Data Exploring Proband–Provider and Proband–Family Communication in Hereditary Breast and Ovarian Cancer

Low uptake of genetic services among members of families with hereditary breast and ovarian cancer (HBOC) suggests limitations of proband-mediated communication of genetic risk. This study explored how genetic information proceeds from healthcare providers to probands and from probands to relatives, from the probands’ perspectives. Using a grounded-theory approach, we analyzed narrative data collected with individual interviews and focus groups from a sample of 48 women identified as carriers of HBOC-associated pathogenic variants from three linguistic regions of Switzerland. The findings describe the “communication chain”, confirming the difficulties of proband-mediated communication. Provider–proband communication is impacted by a three-level complexity in the way information about family communication is approached by providers, received by probands, and followed-up by the healthcare system. Probands’ decisions regarding disclosure of genetic risk are governed by dynamic and often contradictory logics of action, interconnected with individual and family characteristics, eventually compelling probands to engage in an arbitrating process. The findings highlight the relevance of probands’ involvement in the communication of genetic risk to relatives, suggesting the need to support them in navigating the complexity of family communication rather than replacing them in this process. Concrete actions at the clinical and health system levels are needed to improve proband-mediated communication.
A Fun-Guide to Innate Immune Responses to Fungal Infections

Immunocompromised individuals are at high risk of developing severe fungal infections with high mortality rates, while fungal pathogens pose little risk to most healthy people. Poor therapeutic outcomes and growing antifungal resistance pose further challenges for treatments. Identifying specific immunomodulatory mechanisms exploited by fungal pathogens is critical for our understanding of fungal diseases and development of new therapies. A gap currently exists between the large body of literature concerning the innate immune response to fungal infections and the potential manipulation of host immune responses to aid clearance of infection. This review considers the innate immune mechanisms the host deploys to prevent fungal infection and how these mechanisms fail in immunocompromised hosts. Three clinically relevant fungal pathogens (Candida albicans, Cryptococcus spp. and Aspergillus spp.) will be explored. This review will also examine potential mechanisms of targeting the host therapeutically to improve outcomes of fungal infection.
The insights of smallholder farmers on special attributes of the genetically robust mule

Abstract. Desta TT, Teklemariam H, Mulugeta T. 2022. The insight of smallholder farmers on special attributes of the genetically robust mule. Biodiversitas 23: 3561-3566. A mule (Equus asinus X Equus caballus) is the offspring of a jack, a mature male donkey, and a mare, a mature female horse. Mule is the artifact of distant hybridization, and interspecific breeding has endowed mule with appreciable hardiness. In the history of humans, mule breeding represents a novel undying, and successful traditional biotechnology. This qualitative study reports the advantages and disadvantages of using mules as working and riding equid and insights of smallholder farmers on mule’s behavior and robustness. For most of the socio-economically important traits reported mule surpasses both the parental species, donkey and horse. This superiority is most likely associated with the genetic robustness of mules aroused from interspecific hybridization. It was reported that a mare mule is more intelligent, and quite the opposite, it is more aggressive than its male counterpart. Presumably, X-inactivation in distant hybrid animals like mules possessing heterologous X-chromosomes is suppressed; consequently, some of the X-chromosome genes might be escaped the inactivation process which makes the mare mule produce more of the protein products and surpass its male counterpart. The general sterility of mare mule may have also made it to invest virtually none in the costly task, nurturing of offspring. Mule's sterility and aggression make some of the community members develop negative insights. Regardless of this, the mule is highly appreciated for the various services it deliverstothe rural community.