Miracle-dz/UniFAR-FTUs huggingface dataset:
Staphylococcus epidermidis’ Overload During Suckling Impacts the Immune Development in Rats

Mastitis is an inflammation of the mammary gland occurring in 3–33% of the breastfeeding mothers. The majority of mastitis cases have an infectious etiology. More than 75% of infectious mastitis are caused by Staphylococcus epidermidis and Staphylococcus aureus and involves breast milk microbiota alteration, which, may have an impact in lactating infant. The aim of this study was to analyze in rats during the suckling period and later in life the impact of a high and a low overload of Staphylococcus epidermidis, similarly as it occurs during the clinical and the subclinical mastitis, respectively. From days 2 to 21 of life, suckling rats were daily supplemented with low (Ls group) or high (Hs group) dose of S. epidermidis. Body weight and fecal humidity were periodically recorded. On days 21 and 42 of life, morphometry, hematological variables, intestinal gene expression, immunoglobulin (Ig) and cytokine profile and spleen cells’ phenotype were measured. Although no differences were found in body weight, Ls and Hs groups showed higher body length and lower fecal humidity. Both doses induced small changes in lymphocytes subpopulations, reduced the plasma levels of Ig and delayed the Th1/Th2 balance causing a bias toward the Th2 response. No changes were found in cytokine concentration. The low dose affected the Tc cells intestinal homing pattern whereas the high dose had an impact on the hematological variables causing leukocytosis and lymphocytosis and also influenced the intestinal barrier maturation. In conclusion, both interventions with Staphylococcus epidermidis overload during suckling, affects the immune system development in short and long term.
Recent Progress and Challenges in Exploiting Graphics Processors for Aeropropulsion Simulations 

I. Overview The computational demands of scientific computing are increasing at an ever-faster pace as scientists and engineers attempt to model increasingly complex systems and phenomena. This trend is equally true in the case of aeropropulsion simulations, where accurately modeling flow through the inlet, compressor, combustor, and nozzle requires large, expensive computer systems. Due to the hardware requirements, high-fidelity simulations are typically not available to most industrial or academic researchers and designers. In the past, we could rely on increasing computational capabilities with time, simply waiting for the next generation of processors to enable previously inaccessible calculations. However, in recent years, the pace of increasing processor performance has slowed, largely due to limitations of power consumption and heat dissipation preventing further decreases in transistor size. In order to keep up with Moore's Law (processor speeds doubling every year and a half), parallelism is being embraced by increasing the number of processing cores. Top-of-the-line central processing units (CPUs) used in personal computers and supercomputing clusters contain four to eight cores. Graphics processing units (GPUs), on the other hand, have many hundreds to thousands of—albeit fairly simple—processing cores, and fall in the category of “many-core” processors. This level of parallelism matches that of large clusters of CPUs. Regarding the need for parallel computing, it would depend on whether the types of problems can be parallelized or whether they are fundamentally serial calculations. The key to parallel problems (sometimes termed “embarrassingly parallel”) is data independence: multiple tasks must be able to operate on data independently. Examples of embarrassingly parallel problems include matrix multiplication, Monte Carlo simulations, calculating cell fluxes across space in the finite volume approach, and calculating finite differences across a grid. In contrast, calculating the Fibonacci sequence is inherently serial, as each term relies on the previous two. In general, iterative solution methods are serial, although the internal calculations of each iteration might be parallelizable. As researchers identify computing problems with appropriate data parallelism, GPUs are becoming popular in many scientific computing areas such as molecular dynamics [1-5], protein folding [6], quantum chemistry [7-9], computational finance [10,11], data mining [12], and a variety of computational medical techniques such as computed tomography (CT) scan processing [13-15], white blood cell detection and tracking [16], cardiac simulation [17], and radiation therapy dose calculation [18]. Owens et al. [19,20] surveyed the use of GPUs in general purpose computations, but as the popularity of GPU acceleration exploded in recent years many more areas are under investigation. Most efforts in moving existing applications to GPUs
Trait Anxiety Does Not Predict the Anxiogenic Response to Sleep Deprivation

Sleep deprivation has in several studies been found to increase anxiety. However, the extent to which this anxiogenic effect depends on one’s underlying trait anxiety has not previously been determined. Using two separate sleep-loss experiments, the current research investigated whether trait anxiety (STAI-T) moderates the increase in state anxiety (STAI-S) following one night of total sleep loss (study 1, N = 182, age 25.3 ± 6.5, 52 women) and two nights of partial sleep restriction (study 2, N = 67, age 26.5 ± 7.4, 38 women). Both studies showed the expected anxiogenic effect of sleep loss, and a clear relationship between trait anxiety and state anxiety. However, the anxiogenic effect of sleep loss was not moderated by trait anxiety, as there was an equal impact regardless of trait anxiety level. These findings indicate that, although sleep loss is related to general anxiety as well as anxiety disorders, for a non-clinical sample the anxiogenic effect of short-term sleep loss is not affected by baseline levels of anxiety.
The Impact of Patient Prejudice on Minoritized Female Physicians

Background Patient bias and prejudice directed against physicians from diverse backgrounds is a frequent occurrence in healthcare. Female physicians have long experienced discrimination in the healthcare system based on their gender alone. The dynamic known as Patient Prejudice toward Providers (PPtP) is disproportionately affecting female physicians because it is frequently compounded by sexism. Aim The goal of this study was to explore the impact of PPtP on female resident and attending physicians. Methods Using transcribed one-on-one interviews from a larger study of PPtP affecting resident and attending physicians, ten interviews with female physicians (resident and attending) from diverse ethnic backgrounds and countries of training at a large academic medical center were analyzed. The authors independently reviewed the interviews using an iterative process within and across interviews to inductively identify repeating words, phrases, and concepts relevant to the study aim. Results Demographics of the ten participants included age (mean 34.6 years), ethnicity (6 Asian, 2 Hispanic, 2 African), and country of training (10% IMG vs. 90% US trained). Four of the interviewees were residents and six were attendings. Themes that emerged from the analysis included experiencing “A Gendered Continuum of Abuse,” “Establishing a Higher Standard of Competency,” “Overcoming the Stereotype of the White Male Physician,” “The Physicality of Self Identity,” and “The Need to be Protective of Minoritized Trainees. ” All participants agreed that these perceptions created an adverse environment at the workplace and impacted on patient care. Conclusions Discrimination of physicians based on their gender or their race/ethnicity has been reported. This study highlights the compounded effects of patient prejudice on female minoritized physicians. Organizations and individuals should identify and implement strategies to address the impact of PPtP and sexism in order to create an environment where all women can thrive professionally.
The Value of Circulating Tumor Cells in the Prognosis and Treatment of Pancreatic Cancer

In the past few decades, tumor diagnosis and treatment theory have developed in a variety of directions. The number of people dying from pancreatic cancer increases while the mortality rate of other common tumors decreases. Traditional imaging methods show the boundaries of pancreatic tumor, but they are not sufficient to judge early micrometastasis. Although carcinoembryonic antigen (CEA) and carbohydrate antigen19-9 (CA19-9) have the obvious advantages of simplicity and minimal invasiveness, these biomarkers obviously lack sensitivity and specificity. Circulating tumor cells (CTCs) have attracted attention as a non-invasive, dynamic, and real-time liquid biopsy technique for analyzing tumor characteristics. With the continuous development of new CTCs enrichment technologies, substantial progress has been made in the basic research of CTCs clinical application prospects. In many metastatic cancers, CTCs have been studied as an independent prognostic factor. This article reviews the research progress of CTCs in the treatment and prognosis of pancreatic cancer.
Bringing science communication skills into the university classroom and back out again: What do palaeoscience educators think?

University-level pedagogy and public science communication both have the same broad goal: to facilitate the sharing of knowledge and understanding from a specialist or expert, to a non-specialist group. Recent research has emphasised the need for there to be a two-way transfer or dialogue of ideas between these fields, but collaboration thus far is rare, particularly at the tertiary education level. Performing science outreach is mostly a voluntary service for academics, and institutions provide little in the way of support, training or recognition. Here I explore the potential for a positive feedback loop between science communication and higher-education pedagogy in the palaeosciences. A synthesis of best practises in science outreach is drawn from the literature and related to pedagogical concepts and findings. The resulting congruences suggest enormous potential for ‘cross-pollination' of ideas between the fields. However, in-depth one-on-one interviews and focus groups with palaeoscience educators, as well as an online survey, indicate that this potential remains largely untapped in the palaeosciences community. While respondents could identify certain skills as being integral to success in science communication, they did not appear to realise that the same skills, when applied in the classroom, could contribute towards key challenges in higher education today, including the stimulation of student engagement and motivation, the accommodation of an increasingly diverse student body, the anticipation of common student misconceptions in science, and the improvement of pedagogical models of delivery. Another emergent theme was that being a good science communicator was “much simpler” than being a good teacher, conflicting with evidence-based pedagogical and outreach research. While many palaeoscientists did express strong commitments to science communication, they had previous experience of time constraints and conflicts with other academic responsibilities. Therefore, both palaeoscientists and their institutions would benefit from viewing science communication as a valuable and formally rewardable activity within the scholarship of sharing knowledge, which also contributes to other aspects of a successful academic career.
Epidemiology and Genetic Diversity of Bartonella in Rodents in Urban Areas of Guangzhou, Southern China

Bartonella spp. are gram-negative bacteria that can infect a wide spectrum of mammals. Rodents are considered to be the natural reservoir of many Bartonella species that are transmitted by various blood-sucking arthropods. The close contact between rodents and humans in urban areas increased the chance of transmitting rodent-borne Bartonella to humans. Investigation of the epidemiological characteristics of Bartonella infection in rodents is of great significance for the prevention and control of human Bartonellosis. In this study, rodents were captured to monitor the prevalence of Bartonella in urban areas of Guangzhou city. Six official or candidate species of Bartonella, including two confirmed zoonotic species, were detected with an overall prevalence of 6.4% in rodents captured herein. In addition, Rattus norvegicus was the predominant host species for Bartonella infection, and B. queenslandensis was the dominant species circulating in rodents in these areas. These results provide insights into the prevalence and genetic diversity of Bartonella species circulating in rodents in the urban areas of Guangzhou, and also urged the surveillance of rodent-associated Bartonella species in these areas.
Modulation of GABAergic Synaptic Transmission by NMDA Receptors in the Dorsal Horn of the Spinal Cord

The dorsal horn (DH) of the spinal cord is an important structure involved in the integration of nociceptive messages. Plastic changes in the properties of neuronal networks in the DH underlie the development of analgesia as well as of hyperalgesia and allodynia in acute and chronic pain states. Two key mechanisms are involved in these chronic pain states: increased electrical activities and glutamate release leading to the recruitment of NMDAr and plastic changes in the synaptic inhibition. Although: (1) the balance between excitation and inhibition is known to play a critical role in the spinal network; and (2) plastic changes in spinal excitation and inhibition have been studied separately, the relationship between these two mechanisms has not been investigated in detail. In the present work, we addressed the role of NMDA receptors in the modulation of GABAergic synaptic transmission in the DH network. Using tight-seal whole-cell recordings on adult mice DH neurons, we characterized the effect of NMDAr activation on inhibitory synaptic transmission and more especially on the GABAergic one. Our results show that, in a subset of neurons recorded in lamina II, NMDAr activation facilitates spontaneous and miniature GABAergic synaptic transmission with a target specificity on GABAergic interneurons. In contrast, NMDA reduced the mean amplitude of evoked GABAergic IPSCs. These results show that NMDAr modulate GABAergic transmission by a presynaptic mechanism of action. Using a pharmacological approach, we investigated the composition of NMDAr involved in this modulation of GABAergic synaptic transmission. We found that the NMDA-induced facilitation was mediated by the activation of NMDAr containing GluN2C/D subunits. Altogether, our results bring new insights on nociceptive information processing in the spinal cord network and plastic changes in synaptic inhibition that could underlie the development and maintenance of chronic pain.
Ethical Eggs: Can Synthetic Biology Disrupt the Global Egg Production Industry?

Commercial egg production relies on the industry-accepted practice of culling day-old male chicks, which are a live by-product of the egg production industry. Researchers are exploring the use of a transgenic marker gene to allow early identification of male embryos in ovo at the point of lay, rather than upon hatching. Here we examine social acceptability of this biotechnology-enabled solution to sex selection, which addresses the key ethical issue of culling and improved sustainability of food systems. A national online survey (N = 1148) measured psychological factors influencing public support for the development of the technology and willingness to purchase eggs derived from the novel process. Most participants expressed at least a moderate intention to support the development of gene marking technology, with 1 in 5 people expressing strong support. Participants expressed moderate to high agreement that gene marking of chickens would: (a) help reduce or eliminate the practice of culling male chicks in the egg-laying industry (response efficacy), and; (b) that this new synbio approach to sex selection may be better than current methods of identifying and removing male chicks during egg production (relative advantage). Of those participants who consumed eggs, almost 60% reported they would be moderately to strongly willing to purchase eggs derived from the gene marking process. A partially-mediated path model comprising both intention to support and willingness to buy eggs (R2 = 0.78) showed that key factors involved in decision-making, in addition to response efficacy and relative advantage, were evaluative attitudes toward the technology (e.g., was the technology bad/good, risky/safe, unethical/ethical) and emotional reactions. These results suggest that consumers may be primarily basing their decisions and behavioral choices on how valuable they perceive the novel gene marking solution, reflecting on how it compares favorably to current culling practices, yielding a range of benefits such as higher animal welfare, improved sustainability, and reduced waste.
Water AND Heat: Intervening in Adaptation Hazard Bias

After centuries of adapting to coastal living, increases in stormwater and tidal flooding events, along with projected sea level rise, led Charleston, South Carolina, USA to define flooding as an existential threat to the city. With billions of planned flood management projects underway, and additional billions of federal disaster flood recovery funds allocated to the State of South Carolina, the Governor's office established a South Carolina Office of Resilience in September 2020, with a focus on water management. The City of Charleston developed its own Flooding and Sea Level Rise Strategy. Simultaneously, the fourth National Climate Assessment pointed to heat health risks and projected costs of lost labor productivity concentrated in the Southeast, yet local recognition of heat as an equivalent threat to flooding was not apparent. Although Charleston's All Hazards Vulnerability Assessment included extreme heat as a significant hazard, without a group focused on heat, ongoing work in the city continued to prioritize water management as annual flood events rapidly escalated. This narrow adaptation framing was further solidified as funding focused on flood recovery and adaptation and technical experts worked within water-related boundaries. These interacting forces led to Hazard Bias, an inherent organizational process of reinforcing focus on a single hazard in the context of compound, complex hazard risks. To adapt to increasing heat, Charleston will need to raise compound risk awareness and adjust its capital investments in resilience to be inclusive of heat mitigation and adaptation as well as water. Yet in 2020 Charleston lacked basic urban heat data, technical expertise, and a strong source of motivation to develop a prioritization approach for recognizing multiple risks and complementary adaptation opportunities in those investments. Recognizing the inherent bias, a new coalition of heat researchers, practitioners, and health experts launched a tripartite heat-health research program and spurred the development of a new heat network in Charleston. The network reduced hazard bias by raising heat-health risk awareness and by intervening in adaptation planning to broaden water-only considerations to be inclusive of water AND heat. This paper provides a detailed case study how the intersections of multiple networks, messengers, and messages contributed to broadening the local resilience agenda from a “hazard bias” and how the lessons learned during this transformative process further reveal health inequities.
Exploring the Effect of Spreading Fake News Debunking Based on Social Relationship Networks

Fake news spreads rapidly on social networks; the aim of this study is to compare the characteristics of the social relationship networks (SRNs) of refuters and non-refuters to provide a scientific basis for developing effective strategies for debunking fake news. First, based on six types of fake news published on Sina Weibo (a Chinese microblogging website) during 2015–2019 in China, a deep learning method was used to build text classifiers for identifying debunked posts (DPs) and non-debunked posts (NDPs). Refuters and non-refuters were filtered out, and their follower–followee relationships on social media were obtained. Second, the differences between DPs and NDPs were compared in terms of the volume and growth rate of the posts across various types of fake news. The SRNs of refuters and non-refuters and the k -core decompositions of these SRNs were constructed, and the differences in the growth rates between DPs and NDPs were explored. Business-related fake news was revealed to be debunked better; society-related fake news, the most widely spread in China, was debunked poorly; and science- and politics-related fake news was debunked the worst. Additionally, more celebrity accounts, larger node sizes with follower-followee relationships in the SRNs, and more weakly connected components were found to lead to a faster growth rate in the dissemination of posts, regardless of whether the posts were DPs or NDPs. This study can help practitioners develop more effective strategies for debunking fake news on social media in China.
The Mental Health of Patients With Psychotic Disorder From a Positive, Multidimensional and Recovery Perspective

Positive mental health (PMH) and mental illness are distinct, yet interrelated, constructs. However, this relationship has yet to be adequately established. We aimed to evaluate the level of PMH and its relationship with sociodemographic and clinical determinants as well as to explore the relationship between PMH and the positive constructs of recovery, subjective wellbeing (SWB), insight and functioning in patients with psychotic disorder. A multicenter, descriptive, cross-sectional and correlational study with a sample of 347 patients with psychotic disorder was conducted. The following assessment instruments were used: Positive Mental Health Questionnaire, Maryland Assessment of Recovery in Serious Mental Illness scale, Insight Scale, Personal Wellbeing Index-Adult version (PWI-A), Overall Life Satisfaction (OLS) and Global Assessment of Functioning scale. The mean global level of PMH was 116.16 (range of 39–156, SD = 19.39). Significant differences were found in PMH in relation to sociodemographic (sex, civil status and employment situation) and clinical variables (family history of mental disorders, number of prescribed antipsychotics, treatment with anxiolytics, treatment with antidepressants and suicide attempts). PMH was significantly and positively correlated with recovery (r = 0.760), SWB (PWI-A: r = 0.728 and OLS: r = 0.602) and functioning (r = 0.243), and negatively with insight (r = −0.335). These results can lead to a major change in mental health care. If actions are taken to increase PMH, then recovery, SWB and functioning will also increase. At the same time, interventions should be carried out to boost insight, since increasing PMH could decrease insight, all resulting in better quality of life for patients with psychotic disorder.