Miracle-dz/UniFAR-FTUs huggingface dataset:
Limited introgression from non‐native commercial strains and signatures of adaptation in the key pollinator Bombus terrestris

Insect pollination is fundamental for natural ecosystems and agricultural crops. The bumblebee species Bombus terrestris has become a popular choice for commercial crop pollination worldwide due to its effectiveness and ease of mass rearing. Bumblebee colonies are mass produced for the pollination of more than 20 crops and imported into over 50 countries including countries outside their native ranges, and the risk of invasion by commercial non‐native bumblebees is considered an emerging issue for global conservation and biological diversity. Here, we use genome‐wide data from seven wild populations close to and far from farms using commercial colonies, as well as commercial populations, to investigate the implications of utilizing commercial bumblebee subspecies in the UK. We find evidence for generally low levels of introgression between commercial and wild bees, with higher admixture proportions in the bees occurring close to farms. We identify genomic regions putatively involved in local and global adaptation, and genes in locally adaptive regions were found to be enriched for functions related to taste receptor activity, oxidoreductase activity, fatty acid and lipid biosynthetic processes. Despite more than 30 years of bumblebee colony importation into the UK, we observe low impact on the genetic integrity of local B. terrestris populations, but we highlight that even limited introgression might negatively affect locally adapted populations.
Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity

AbstractThis study clarifies the causes of intermodel differences in the global-average temperature response to doubled CO2, commonly known as equilibrium climate sensitivity (ECS). The authors begin by noting several issues with the standard approach for decomposing ECS into a sum of forcing and feedback terms. This leads to a derivation of an alternative method based on linearizing the effect of the net feedback. Consistent with previous studies, the new method identifies shortwave cloud feedback as the dominant source of intermodel spread in ECS. This new approach also reveals that covariances between cloud feedback and forcing, between lapse rate and longwave cloud feedbacks, and between albedo and shortwave cloud feedbacks play an important and previously underappreciated role in determining model differences in ECS. Defining feedbacks based on fixed relative rather than specific humidity (as suggested by Held and Shell) reduces the covariances between processes and leads to more straightforward inte.
Enteric Nervous System: Identification of a Novel Neuronal Sensory Network in the Duodenal Epithelium

The communication between the intestinal epithelium and the enteric nervous system has been considered indirect. Mechanical or chemical stimuli activate enteroendocrine cells inducing hormone secretion, which act on sub-epithelial nerve ends, activating the enteric nervous system. However, we identified an epithelial cell that expresses NKAIN4, a neuronal protein associated with the β-subunit of Na+/K+-ATPase. This cell overexpresses Na+/K+-ATPase and ouabain-insensitive Na+-ATPase, enzymes involved in active sodium transport. NKAIN4-positive cells also express neuronal markers as NeuN, acetylcholine-esterase, acetylcholine-transferase, α3- and α7-subunits of ACh receptors, glutamic-decarboxylase, and serotonin-receptor-7, suggesting they are neurons. NKAIN4-positive cells show a polarized shape with an oval body, an apical process finished in a knob-like terminal in contact with the lumen, a basal cilia body at the base of the apical extension, and basal axon-like soma projections connecting sub-epithelial nerve terminals, lymphoid nodules, glial cells, and enterochromaffin cells, forming a network that reaches the epithelial surface. We also showed, using retrograde labeling and immunofluorescence, that these cells receive afferent signals from the enteric nervous system. Finally, we demonstrated that acetylcholine activates NKAIN4-positive cells inducing Ca2+ mobilization and probably serotonin secretion in enterochromaffin cells. NKAIN4-positive cells are neurons that would form a part of a duodenal sensory network for physiological or noxious luminal stimuli.
Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH)

Metabolic dysfunction–associated steatohepatitis (MASH) is a severe form of liver disease that poses a global health threat because of its potential to progress to advanced fibrosis, leading to cirrhosis and liver cancer. Recent advances in single-cell methodologies, refined disease models, and genetic and epigenetic insights have provided a nuanced understanding of MASH fibrogenesis, with substantial cellular heterogeneity in MASH livers providing potentially targetable cell-cell interactions and behavior. Unlike fibrogenesis, mechanisms underlying fibrosis regression in MASH are still inadequately understood, although antifibrotic targets have been recently identified. A refined antifibrotic treatment framework could lead to noninvasive assessment and targeted therapies that preserve hepatocellular function and restore the liver’s architectural integrity. Description This article highlights recent mechanistic insights and therapeutic opportunities in MASH fibrosis.
SHRIMP U–Pb dating of coesite‐bearing zircon from the ultrahigh‐pressure metamorphic rocks, Sulu terrane, east China

This paper provides further evidence for the ongoing discussion as to whether the Dabie UHPM belt formed in Triassic or Palaeozoic time, and whether the Sulu UHPM belt formed in Triassic or Neoproterozoic time. Combined use of laser Raman spectrometer (LR), cathodoluminescence imaging (CL), and ion probe U–Pb in‐situ dating (SHRIMP) provided accurate ages of UHPM from rocks collected from Weihai, NE Sulu UHPM belt. LR was used to identify coesite and other UHP minerals as inclusions in zircon separates from an amphibolized peridotite and an eclogite. CL was used to examine the zoning structure of these zircon, and SHRIMP dating was performed on specific spots on zircon to obtain ages of different geological events. An age of 221 ± 12 Ma was obtained for coesite‐bearing zircon from the amphibolized peridotite; an age of 228 ± 29 Ma for eclogite was obtained from the lower intercept of a concordia plot. These ages are interpreted as the time of UHPM in the Weihai region. Ultramafic rocks to the east of Weihai yield a magmatic age at 581 ± 44 Ma. The zircon in the ultramafic rocks possibly also records a thermal event at c. 400 Ma, but no independent geological evidence for this event has been found. The eclogite protolith formed in the Middle Proterozoic (1821 ± 19 Ma), which is similar to the age of country rock gneisses of 1847–1744 Ma. The new geochronological data confirm that UHPM occurred in the Triassic in the Sulu area when subduction took the ultramafic body and the eclogite protolith, together with the adjacent supracrustal rocks, to mantle depths.
Effects of Radiation from Fukushima Dai-ichi on the U.S. Marine Environment

The massive Tohoku earthquake and tsunami of March 11, 2011, caused extensive damage in northeastern Japan, including damage to the Fukushima Dai-ichi nuclear power installation, which resulted in the release of radiation. Concerns have arisen about the potential effects of this released radiation on the U.S. marine environment and resources. This report discusses these concerns.
Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study

Objectives High blood pressure is a common health concern among seafarers. However, due to the remote nature of their work, it can be difficult for them to access regular monitoring of their blood pressure. Therefore, the development of a risk prediction model for hypertension in seafarers is important for early detection and prevention. This study developed a risk prediction model of self-reported hypertension for telemedicine. Design A cross-sectional epidemiological study was employed. Setting This study was conducted among seafarers aboard ships. Data on sociodemographic, occupational and health-related characteristics were collected using anonymous, standardised questionnaires. Participants This study involved 8125 seafarers aged 18–70 aboard 400 vessels between November 2020 and December 2020. 4318 study subjects were included in the analysis. Seafarers over 18 years of age, active (on duty) during the study and willing to give informed consent were the inclusion criteria. Outcome measures We calculated the adjusted OR (AOR) with 95% CIs using multiple logistic regression models to estimate the associations between sociodemographic, occupational and health-related characteristics and self-reported hypertension. We also developed a risk prediction model for self-reported hypertension for telemedicine based on seafarers’ characteristics. Results Among the 4318 participants, 55.3% and 44.7% were non-officers and officers, respectively. 20.8% (900) of the participants reported having hypertension. Multivariable analysis showed that age (AOR: 1.08, 95% CI 1.07 to 1.10), working long hours per week (AOR: 1.02, 95% CI 1.01 to 1.03), work experience at sea (10+ years) (AOR: 1.79, 95% CI 1.33 to 2.42), being a non-officer (AOR: 1.75, 95% CI 1.44 to 2.13), snoring (AOR: 3.58, 95% CI 2.96 to 4.34) and other health-related variables were independent predictors of self-reported hypertension, which were included in the final risk prediction model. The sensitivity, specificity and accuracy of the predictive model were 56.4%, 94.4% and 86.5%, respectively. Conclusion A risk prediction model developed in the present study is accurate in predicting self-reported hypertension in seafarers’ onboard ships.
"Thoughts & Prayers" or " ❤️ & 🙏 ": How the Release of New Reactions on CaringBridge Reshapes Supportive Communication in Health Crises

Following Facebook's introduction of the "Like" in 2009, CaringBridge (a nonprofit health journaling platform) implemented a "Heart" symbol as a single-click reaction affordance in 2012. In 2016, Facebook expanded its Like into a set of emotion-based reactions. In 2021, CaringBridge likewise added three new reactions: "Prayer", "Happy", and "Sad. " Through user surveys (N=808) and interviews (N=13), we evaluated this product launch. Unlike Likes on mainstream social media, CaringBridge's single-click Heart was consistently interpreted as a simple, meaningful expression of acknowledgement and support. Although most users accepted the new reactions, the product launch transformed user perceptions of the feature and ignited major disagreement regarding the meanings and functions of reactions in the high stakes context of health crises. Some users found the new reactions to be useful, convenient, and reducing of caregiver burden; others felt they cause emotional harms by stripping communication of meaningful expression and authentic care. Overall, these results surface tensions for small social media platforms that need to survive amidst giants, as well as highlighting crucial trade-offs between the cognitive effort, meaningfulness, and efficiency of different forms of Computer-Mediated Communication (CMC). Our work provides three contributions to support researchers and designers in navigating these tensions: (1) empirical knowledge of how users perceived the reactions launch on CaringBridge; (2) design implications for improving health-focused CMC; and (3) concrete questions to guide future research into reactions and health-focused CMC.
Counterplay: Circumventing the Belgian Ban on Loot Boxes by Adolescents

In 2018, Belgium made the world news for being the first country to ban loot boxes in games for all its inhabitants. As players’ freedom to purchase loot boxes was restricted, however, methods of circumventing the ban came into practice. Departing from counterplay theory, we drew from an online survey among Belgian adolescents aged 11 18 with two questions in mind: what counterplay practices are used to circumvent the Belgian ban on loot boxes, and how do counterplayers (N = 124) compare to non counterplayers (N = 329) in terms of their engagement with loot boxes and games more broadly? Our findings suggest that counterplayers resist current regulatory arrangements in a myriad of ways, delineating the boundaries of a national ban in a global game ecology. Counterplayers appeared to differentiate themselves from non counterplayers both in terms of depth characteristics (sense of belonging to an online community, perceived gaming ability, gaming disorder, and risky loot box use) and breadth characteristics (frequency of skin betting, selling loot box rewards, and (re)watching loot box opening livestreams). Ultimately, our study may tease out debate on how to regulate games successfully in the face of players’ technical abilities and motivation to gain access.
The Use of Simulation and Artificial Intelligence as a Decision Support Tool for Sustainable Production Lines

In recent years, the general population has become increasingly aware of the importance of adopting more sustainable lifestyles. For companies, the implementation of sustainable systems is essential. This study aims to examine the contribution of simulation in combination with artificial intelligence (AI) to the sustainability of production lines. Simulation plays a crucial role for managers, as it allows them to predict future scenarios based on past experiences, allowing for more informed with the rise of digitization in the industry, it is now possible to manage resources such as energy and water in a more efficient manner. This is achieved through the use of techniques such as data scanning, communication with intelligent industrial sensors, known as the Industrial Internet of Things (IIoT), and the application of optimization and AI-based solutions to tackle complex problems, both in terms of efficiency and sustainability. This analysis has confirmed the significance of simulation when partnered with AI in improving the sustainability of production lines. This is because they offer the means to improve resource management from an economic, environmental, and social perspective.
Discovery of a glucocorticoid receptor (GR) activity signature correlates with immune cell infiltration in adrenocortical carcinoma

Background Adrenocortical carcinoma (ACC) is a rare and highly aggressive endocrine malignancy, of which >40% present with glucocorticoid excess. Glucocorticoids and glucocorticoid receptor (GR) signaling have long been thought to suppress immunity and promote tumor progression by acting on immune cells. Here, we provide new insights into the interaction between GR signaling activity and the immune signature of ACC as a potential explanation for immune escape and resistance to immunotherapy. Methods First, GR immunohistochemical staining and immunofluorescence analysis of tumor-infiltrating lymphocyte (CD4 T, CD8 T cells, natural killer (NK) cells, dendritic cells and macrophages) were performed in 78 primary ACC tissue specimens. Quantitative data of immune cell infiltration in ACC were correlated with clinical characteristics. Second, we discovered a GR activity signature (GRsig) using GR-targeted gene networks derived from global gene expression data of primary ACC. Finally, we identified two GRsig-related subtypes based on the GRsig and assessed the differences in immune characteristics and prognostic stratification between the two subtypes. Results GR was expressed in 90% of the ACC tumors, and CD8+ cytotoxic T lymphocytes were the most common infiltrating cell type in ACC specimens (88%, 8.6 cells/high power field). GR expression positively correlated with CD8+ T cell (Phi=0.342, p<0.001), CD4+ T cell (Phi=0.280, p<0.001), NK cell (Phi=0.280, p<0.001), macrophage (Phi=0.285, p<0.001), and dendritic cell (Phi=0.397, p<0.001) infiltration. Clustering heatmap analysis also displayed high immune cell infiltration in GR high-expressing tumors and low immune cell infiltration in GR-low tumors. High GR expression and high immune cell infiltration were significantly associated with better survival. Glucocorticoid excess is associated with low immune cell abundance and unfavorable prognosis. A GRsig comprizing n=34 GR-associated genes was derived from Gene Expression Omnibus/The Cancer Genome Atlas (TCGA) data sets and used to define two GRsig-related subtypes in the TCGA cohort. We demonstrated distinct differences in the immune landscape and clinical outcomes between the two subtypes. Conclusion GR expression positively correlates with tumor-infiltrating immune cells in ACC. The GRsig could serve as a prognostic biomarker and may be helpful for prognosis prediction and response to immunotherapy. Consequently, targeting the GR signaling pathway might be pivotal and should be investigated in clinical studies.
Creative Console: A Player-Driven Game Based on a Modular Fast-Evolving-and-Verifying Framework

We present Creative Console, a player-driven game in which a player, without prior knowledge of game programming, can design and realize a game within 15 minutes. Players design a game by selecting, adding, or changing a game component and then playtesting the game immediately. We refer to this central process as the Fast-Evolving-And-Verifying (FEAV) module. Players play successive FEAV modules, each taking around 3 minutes, and progressively complete a game design. We conducted an exploratory study of Creative Console. Within 48 hours, all 21 participants developed 527 game levels, covering 10 genres of games. The study demonstrates that Creative Console is enjoyable to play and effectively empowers creative and diversified game design. We furthermore conducted a grounded theory analysis of their design process. Our analysis concludes that modular FEAV, serendipity, and social communication are the three pillars of Creative Console, which casts light on future player-driven creative design systems.
Dataset Discovery and Exploration: A Survey

Data scientists are tasked with obtaining insights from data. However, suitable data is often not immediately at hand, and there may be many potentially relevant datasets in a data lake or in open data repositories. As a result, data discovery and exploration are necessary, but often time consuming, steps in a data analysis workflow. Data discovery is the process of identifying datasets that may meet an information need. Data exploration is the process of understanding the properties of candidate datasets and the relationships between them. Data discovery and data exploration often go hand in hand and benefit from tool support. This article surveys research areas that can contribute to data discovery and exploration, particularly considering dataset search, data navigation, data annotation and schema inference. For each of these areas, we identify key dimensions that can be used to characterize approaches and the values they can hold, and apply the dimensions to describe and compare prominent results. In addition, by surveying several adjacent areas that are often considered in isolation, we identify recurring techniques and alternative approaches to related challenges, thereby placing results within a wider context than is generally considered.
What is a File on a Phone? Personal Information Management Practices Amongst WhatsApp Users

The file, as a means of sharing structured information across time and place, has spanned centuries of ICTs. Despite much CSCW research on file management practices in organizational desktop computing settings, little research has examined how files are managed and shared using mobile devices. Our research asks, how do mobile phones and mobile applications impact the personal information management (PIM) practices involving files for young adults? In this interview and task observation study, we examined the file management practices of mobile phone users (N=25), both Android and iOS owners who use the superapp WhatsApp. Superapps like WeChat and WhatsApp are increasingly characterized as technology of life for the majority world, particularly among mobile-first users. We find that many grammars of action related to managing digital files in personal computing and email contexts persist, but participants' sharing practices are influenced by media ideologies of friends, family, colleagues; and that their file management practices are shaped by the affordances of WhatsApp, as well as mobile operating systems and device hardware constraints. These results will be useful to researchers examining collective PIM practices; mobile communication practices between users and businesses via messaging apps; and theories of personal information practices related to the sharing and storage of digital files among mobile-first cohorts who increasingly share and access information via platforms and mobile applications.
Paediatric reference intervals and curves for haemoglobin and ferritin: protocol for a systematic review and meta-analysis

Introduction Reference intervals and reference curves provide clinicians with a point of reference when evaluating patients’ laboratory test results. In practical applications, the 2.5th and 97.5th percentiles of healthy reference population are typically used as lower and upper reference limits. Guidelines outlining analytical and methodological steps involved in reference intervals and curves estimation are available and there have been large-scale world-wide initiatives to provide reference intervals and curves for children. However, there is a lack of synthesised evidence regarding the results of such initiatives in general, but specifically in iron-related biomarkers, ferritin (in serum and plasma) and haemoglobin. Objectives of this review are to identify studies that have produced reference intervals and curves for ferritin and haemoglobin in paediatric populations and to synthesise all available evidence. We also aim to quantify heterogeneity across reference intervals and curves and identify and elucidate sources of heterogeneity, including heterogeneity in the methods employed in their development. Methods and analysis Using a comprehensive search strategy, we will identify eligible studies. Following electronic databases will be searched from inception: EMBASE, MEDLINE, SCOPUS and The Cochrane Library. We will also perform grey literature search to capture unpublished reference intervals and curves from healthy cohorts. Two researchers will independently screen retrieved citations against eligibility criteria in two stages, focusing first on titles and abstracts and then on full-text articles. Studies that provide reference intervals and curves for ferritin and haemoglobin for paediatric population will be eligible. Data extraction will include study characteristics, characteristics of reference population, methodological and analytical considerations and estimated reference intervals and curves. We will consider narrative synthesis and quantitative synthesis when appropriate. Ethics and dissemination Ethical approval is not required as data from already published studies will be used. Results will be disseminated through peer-reviewed publications and conference presentations. PROSPERO registration number CRD42023399802.