Miracle-dz/UniFAR-FTUs huggingface dataset:
Controllable and Uncontrollable Stress Differentially Impact Fear Conditioned Alterations in Sleep and Neuroimmune Signaling in Mice

Stress induces neuroinflammation and disrupts sleep, which together can promote a number of stress-related disorders. Fear memories associated with stress can resurface and reproduce symptoms. Our previous studies have demonstrated sleep outcomes can be modified by stressor controllability following stress and fear memory recall. However, it is unknown how stressor controllability alters neuroinflammatory signaling and its association with sleep following fear memory recall. Mice were implanted with telemetry transmitters and experienced escapable or inescapable footshock and then were re-exposed to the shuttlebox context one week later. Gene expression was assessed with Nanostring® panels using RNA extracted from the basolateral amygdala and hippocampus. Freezing and temperature were examined as behavioral measures of fear. Increased sleep after escapable stress was associated with a down-regulation in neuro-inflammatory and neuro-degenerative related genes, while decreased sleep after inescapable stress was associated with an up-regulation in these genes. Behavioral measures of fear were virtually identical. Sleep and neuroimmune responses appear to be integrated during fear conditioning and reproduced by fear memory recall. The established roles of disrupted sleep and neuroinflammation in stress-related disorders indicate that these differences may serve as informative indices of how fear memory can lead to psychopathology.
Impact of the “Warning Signs Campaign” on Characteristics of Patients Presenting with Acute Coronary Syndrome (ACS) to Hospitals

Objective: The National Heart Foundation’s Warning Signs Campaign (2009–2013) aimed to raise awareness amongst the public of Acute Coronary Syndrome (ACS), encouraging people to recognise suggestive symptoms and seek immediate medical attention. This study explores the impact of the campaign on the characteristics of patients presenting to hospitals around Australia with ACS. Design: Retrospective cohort analysis Setting: 10 Australian Hospitals recruiting for the CONCORDANCE registry continuously throughout the campaign period. Participants: Patients presenting with ACS to hospitals before, during and after the campaign ran in their jurisdiction. Main Outcome Measures: Whether an ambulance was called, time between onset of symptoms to first medical contact, as well as time between onset of symptoms to primary percutaneous intervention or lysis. Results: Time to first medical contact did not improve during or post-campaign for NSTEACS medical hours (IQI) 1.6 (0.5–4.8) pre, 2.2 (0.7–7.6) during, 2 (0.7–6.9) post (p < 0.001) or STEMI, 1.1 (0.4–3.5) pre, 1.6 (0.6–5.1) during, 1.4 (0.5–4.3) post (p = 0.0113). In STEMI, time from symptom onset to pPCI (p = 0.256) and time to lysis (p = 0.387) were also unchanged. The proportion of ambulance arrivals remained stable (pre 55% vs. during 58%, p = 0.493). Patients presenting during the campaign were more likely to be born in Australia 56% pre, 69% during, 68% post (p < 0.001), to report English as a first language 67% pre, 84% during, 79% post (p < 0.001), and had lower likelihood of prior MI or revascularization but greater likelihood of cardiovascular risk factors compared to those presenting prior. Conclusion: Among patients with ACS, we detected no increase in proportion of ambulance presentations nor earlier presentations among NSTEACS or STEMI during the campaign. There was an increase in the proportion of patients for whom English was the first language and those without a prior cardiac history but with cardiovascular risk factors, suggesting that the campaign impacted preferentially on certain strata in the community.
Exposing the role of relational capabilities in business–research–government cooperation: examples from the transition towards a bioeconomy in Finland

ABSTRACT An organization’s capability to build, handle and exploit relationships and learn from these relations, defined here as relational capabilities, is increasingly important in a networked economy and in innovation activities. The paper introduces a framework that helps understand and analyse the relational capabilities of various organizations engaged in innovation activities. Based on theoretical discussion and empirical analysis the paper argues that the literature on organizational level capabilities and relational capabilities would benefit from deeper integration with the systems of innovation perspective. The empirical findings from three Finnish regions indicate that relational capabilities become particularly relevant in research–business–government cooperation contributing to innovation in the field of bioeconomy. Relational capabilities embedded in an organization’s capability configurations can boost the efficient use of that organization’s resources, bring greater flexibility, a chance to create value in networks and support renewal and innovation. Missing or underdeveloped relational capabilities may also hinder an organization’s ability to tap into the economic opportunities that arise leading to failures at the regional and system level thus hampering the transition towards a bioeconomy.
Gross Total Resection Promotes Subsequent Recovery and Further Enhancement of Impaired Natural Killer Cell Activity in Glioblastoma Patients

Highlights Natural killer cell activity is dramatically impaired in patients with glioblastoma. Surgical resection of glioblastoma promotes redistribution of NK cell subsets and increases NK cell activity 30 days after surgery. Gross total resection rather than subtotal resection significantly recovers and further increases the impaired NK cell activity in patients with glioblastoma. Abstract Glioblastoma is the most common primary malignant brain tumor, and median survival is relatively short despite aggressive standard treatment. Natural killer (NK) cell dysfunction is strongly associated with tumor recurrence and metastasis but is unclear in glioblastoma. NK activity (NKA) represents NK cell-secreted interferon-γ (IFN-γ), which modulates immunity and inhibits cancer progression. This study aimed to analyze NKA in glioblastoma patients to obtain a clearer overview of immunity surveillance. From 2020 to 2021, a total of 20 patients and six healthy controls were recruited. Peripheral blood samples were collected preoperatively and on postoperative days (POD) 3 and 30. Then, NKA was measured using the NK VUE kit. Although NKA decreased on POD3, it recovered and further significantly enhanced on POD30, with a nearly five-fold increase compared to baseline (p = 0.004). Furthermore, the percentage of CD56brightCD16− NK cells decreased significantly on POD3 (p = 0.022) and further recovered on PO30. Subgroup analysis of extent surgical resection further revealed that the recovery of impaired NKA was attributable to gross total resection (GTR) rather than subtotal resection (STR). In conclusion, NKA is significantly impaired in glioblastoma, and GTR has demonstrated superior benefit in improving the suppressed NKA and increased CD56brightCD16− NK subset in glioblastoma patients, which may be associated with subsequent patients’ prognosis. Therefore, the goal of performing GTR for glioblastoma should be achieved when possible since it appears to increase NKA cell immunity.
Nonlinear Instability of a Uni-directional Transversely Sheared Mean Flow

It is well known that the presence of a weak cross flow in an otherwise two-dimensional shear flow results in a spanwise variation in the mean streamwise velocity profile that can lead to an amplification of certain three-dimensional disturbances through a kind of resonant-interaction mechanism (Goldstein and Wundrow 1994). The spatial evolution of an initially linear, finite-growth-rate, instability wave in such a spanwise-varying shear flow is considered, The base flow, which is governed by the three-dimensional parabolized Navier-Stokes equations, is initiated by imposing a spanwise- periodic cross-flow velocity on an otherwise two-dimensional shear flow at some fixed streamwise location. The resulting mean-flow distortion initially grows with increasing streamwise distance, reaches a maximum and eventually decays through the action of viscosity. This decay, which coincides with the viscous spread of of the shear layer, means that the local growth rate of the instability wave will eventually decrease as the wave propagates downstream. Nonlinear effects can then become important within a thin spanwise-modulated critical layer once the local instability-wave amplitude and growth rate become sufficiently large and small, respectively. The amplitude equation that describes this stage of evolution is shown to be a generalization of the one obtained by Goldstein and Choi (1989) who considered the related problem of the interaction of two oblique modes in a two-dimensional shear layer.
Human Decisions on Targeted and Non-Targeted Adversarial Sample

In a world that relies increasingly on large amounts of data and on powerful Machine Learning (ML) models, the veracity of decisions made by these systems is essential. Adversarial samples are inputs that have been perturbed to mislead the interpretation of the ML and are a dangerous vulnerability. Our research takes a ﬁrst step into what can be an important innovation in cognitive science: we analyzed human’s judgments and decisions when confronted with targeted (inputs constructed to make a ML model purposely misclassify an input as some-thing else) and non-targeted (a noisy perturbed input that tries to trick the ML model) adversarial samples. Our ﬁndings suggest that although ML models that produce non-targeted adversarial samples can be more efﬁcient than targeted samples they result in more incorrect human classiﬁcations than those of targeted samples. In other words, non-targeted samples interfered more with human perception and categorization decisions than targeted samples.
Investigating the Key Factors on XYZ Generations' Higher-Order Thinking Skills in E-Learning

Education development continues to proliferate in Indonesia, so many learning methods are applied, but the number of students with HOTS abilities in Indonesia is minimal. The issues affecting HOTS in Indonesia are (1) Not yet able to adapt, (2) Lack of basic knowledge early on, and (3) Few apply HOTS. The research goals were to examine XYZ generations' HOTS variables in the e-learning concept. This research used Structural Equation Model (SEM) and SmartPLS as statistical tools. With the Judgement sampling method, data were collected through an online questionnaire from 184 respondents from April 21–28, 2022, consisting of students and lecturers at 20 universities in Indonesia who also came from various regions in Indonesia. The proposed model has six variables: Learning Environment, Learning Motivation, Peer Interaction, Learning Strategy, Learning Style, HOTS in e-learning concept, and eight hypotheses. All hypotheses have a significant influence.
A 17.3-20.3 GHz Doherty Power Amplifier with 14W Saturated Output Power and 28% PAE at 6dB OPBO in 150nm GaN Technology

This paper describes the design and characterization of a 14W Ka-band three-stage GaN Doherty power amplifier. The MMIC, developed on 0. 15μm gate length space evaluated GaN technology on SiC substrate, is the final stage of a downlink satellite transmitter in the 17.3-20.3 GHz frequency band. Large signal measurements exhibited saturated output power of 41.5dBm with power added efficiency of 32% and 28% at 3dB and 6dB of output power back-off, respectively. To the author's knowledge, this represents the highest output power in the frequency range for a Doherty amplifier while with minimum degradation of efficiency at 3 and 6 dB of OPBO.
The Normal Kernel Coupler: An Adaptive Markov Chain Monte Carlo Method for Efficiently Sampling From Multi-Modal Distributions

Abstract : The Normal Kernel Coupler (NKC) is an adaptive Markov Chain Monte Carlo (MCMC) method which maintains a set of current state vectors. At each iteration one state vector is updated using a density estimate formed by applying a normal kernel to the full set of states. This sampler is ergodic (irreducible, Harris recurrent and aperiodic) for any continuous distribution on d-dimensioual Euclidean space. The NKC outperforms standard MCMC methods on a variety of unimodal and bimodal problems in low to moderate dimension. We illustrate the utility of the NKC by fitting a mixture model for genetic instability in cancer cells. This model which has two distinct and dissimilar modes is not well handled by standard MCMC methods. In contrast, the NKC efficiently samples from this model and yields results that are consistent with current scientific understanding.
EFL Students’ Attitudes Towards the English Online Assessments

Technology has been used for many years to enhance the quality of language learning and instruction. However, the introduction of technology into many contexts for language acquisition was hastened by the COVID-19 pandemic outbreak. Education professionals encountered a variety of new issues as a result of the abrupt change to online learning (Ghanbari and Nowroozi,2021). This study investigated students’ opinions of an English online assessment in terms of affective, cognitive, and behavioral factors. It aims to gauge students’ perspectives of the English online assessment currently employed at their institution and to find out their difficulties when taking online exams so that practical solutions can be recommended to the institution. The study recruited 110 students who have been attending General English courses at a public university in Ho Chi Minh City, Vietnam. The participants responded to a questionnaire including 28 items asking mainly about the advantages and disadvantages of the English online assessment that they experienced in their last course. The results revealed that most of the students had positive attitudes toward the online assessment mode although they also experienced several shortcomings when taking the English online exams.
The Link between Three Single Nucleotide Variants of the GIPR Gene and Metabolic Health

Single nucleotide variants (SNVs) of the GIPR gene have been associated with BMI and type 2 diabetes (T2D), suggesting the role of the variation in this gene in metabolic health. To increase our understanding of this relationship, we investigated the association of three GIPR SNVs, rs11672660, rs2334255 and rs10423928, with anthropometric measurements, selected metabolic parameters, and the risk of excessive body mass and metabolic syndrome (MS) in the Polish population. Normal-weight subjects (n = 340, control group) and subjects with excessive body mass (n = 600, study group) participated in this study. For all participants, anthropometric measurements and metabolic parameters were collected, and genotyping was performed using the high-resolution melting curve analysis. We did not find a significant association between rs11672660, rs2334255 and rs10423928 variants with the risk of being overweight. Differences in metabolic and anthropometric parameters were found for investigated subgroups. An association between rs11672660 and rs10423928 with MS was identified. Heterozygous CT genotype of rs11672660 and AT genotype of rs10423928 were significantly more frequent in the group with MS (OR = 1.38, 95%CI: 1.03–1.85; p = 0.0304 and OR = 1.4, 95%CI: 1.05–1.87; p = 0.0222, respectively). Moreover, TT genotype of rs10423928 was less frequent in the MS group (OR = 0.72, 95%CI: 0.54–0.95; p = 0.0221).
Personality Traits and Motives in Table Tennis Players

This study aims to investigate table tennis players’ personality traits and motives in the frame of the Big Five personality model and the self-determination theory (SDT) of motivation. A total of 447 Italian table tennis players ranging in level of play between the regional and international levels participated in the study. They completed a self-report questionnaire measuring their personality traits and motives to play table tennis. Findings showed conscientiousness as the most distinctive trait of table tennis players. No differences were detected between elite and non-elite players. Table tennis players are mainly motivated by factors belonging to the intrinsic pole of the self-determination motivational continuum. External reinforcements represent a minimal incentive to play this sport both for elite and non-elite athletes. The current findings help clarify the relationships between personality traits, playing certain types of sports, and achieving different performance levels. We conclude by outlining implications for applied sport psychology.
COVID-19 Vaccine-Induced Thrombotic Thrombocytopaenia With Venous and Arterial Thrombosis: A Case Report

Coronavirus disease 19 pandemic has put tremendous pressure on health systems and has caused significant morbidity and mortality throughout the world. Vaccination program against COVID-19 has been effective despite repeated outbreaks across the globe. It was however reported that COVID-19 vaccines in particular, the Oxford-AstraZeneca COVID-19 vaccine (AZD1222) was temporarily suspended by some European countries due to risk of thrombosis. COVID-19 is a prothrombotic condition and is associated with venous thromboembolism mainly. The condition can be challenging to diagnose due to its diagnostic variation. Cases of vaccine-induced thrombotic thrombocytopaenia has been reported in several countries. COVID-19 can also cause vaccine-induced thrombosis without thrombocytopaenia. The thrombotic events can affect different parts of the body including brain, heart, and peripheral vessels. We present a case of 54-year-old patient who presented with chest and abdominal pain for 12 hours and evidence of infero-lateral ST segment elevation on electrocardiogram. Patient received COVID-19 AstraZeneca vaccine 10 days prior to admission. Coronary angiography (CAG) showed occlusion of the proximal to mid part of the right coronary artery (RCA) distal to a large Right Ventricular branch with high thrombotic burden and multiple attempts at aspiration of the thrombus resulted in partial restoration of the flow to right coronary artery.
Using OSSEs to Evaluate the Impacts of Geostationary Infrared Sounders

An observing system simulation experiment (OSSE) was performed to assess the impact of assimilating hyperspectral infrared (IR) radiances from geostationary orbit on numerical weather prediction, with a focus on the proposed sounder onboard the Geostationary eXtended Observations (GeoXO) program’s central satellite. Infrared sounders on a geostationary platform would fill several gaps left by IR sounders on polar orbiting satellites, and the increased temporal resolution would allow the observation of weather phenomena evolution. The framework for this OSSE was the Global Modeling and Assimilation Office (GMAO) OSSE system, which includes a full suite of meteorological observations. The experiment additionally assimilated four identical IR sounders from geostationary orbit to create a “ring” of vertical profiling observations. Based on the experimentation, assimilation of the IR sounders provided a beneficial impact on the analyzed mass and wind fields, particularly in the tropics, and produced an error reduction in the initial 24-48 hours of the subsequent forecasts. Specific attention was paid to the impact of the GeoXO Sounder (GXS) over the contiguous United States (CONUS) as this is a region that is well-observed and as such difficult to improve. The forecast sensitivity to observation impact (FSOI) metric, computed across all four synoptic times over the CONUS, reveals that the GXS had the largest impact on the 24-hour forecast error of the assimilated hyperspectral infrared satellite radiances as measured using a moist energy error norm. Based on this analysis, the proposed GXS has the potential to improve numerical weather prediction globally and over the CONUS.
Comparative Physiological and Transcriptomic Analyses of Two Contrasting Pepper Genotypes under Salt Stress Reveal Complex Salt Tolerance Mechanisms in Seedlings

As a glycophyte plant, pepper (Capsicum annuum L.) is widely cultivated worldwide, but its growth is susceptible to salinity damage, especially at the seedling stage. Here, we conducted a study to determine the physiological and transcriptional differences between two genotype seedlings (P300 and 323F3) with contrasting tolerance under salt stress. The P300 seedlings were more salt-tolerant and had higher K+ contents, higher antioxidase activities, higher compatible solutes, and lower Na+ contents in both their roots and their leaves than the 323F3 seedlings. During RNA-seq analysis of the roots, more up-regulated genes and fewer down-regulated genes were identified between salt-treated P300 seedlings and the controls than between salt-treated 323F3 and the controls. Many ROS-scavenging genes and several SOS pathway genes were significantly induced by salt stress and exhibited higher expressions in the salt-treated roots of the P300 seedlings than those of 323F3 seedlings. Moreover, biosynthesis of the unsaturated fatty acids pathway and protein processing in the endoplasmic reticulum pathway were deeply involved in the responses of P300 to salt stress, and most of the differentially expressed genes involved in the two pathways, including the genes that encode mega-6 fatty acid desaturases and heat-shock proteins, were up-regulated. We also found differences in the hormone synthesis and signaling pathway genes in both the P300 and 323F3 varieties under salt stress. Overall, our results provide valuable insights into the physiological and molecular mechanisms that affect the salt tolerance of pepper seedlings, and present some candidate genes for improving salt tolerance in pepper.
MiR-29a Family as a Key Regulator of Skeletal Muscle Dysplasia in a Porcine Model of Intrauterine Growth Retardation

MicroRNAs (miRNAs) play an essential role in many biological processes. In this study, miRNAs in the skeletal muscle of normal and intrauterine growth retardation (IUGR) neonatal piglets were identified by sequencing, and canonical miRNAs were functionally validated in vitro. A total of 403 miRNAs were identified in neonatal piglet skeletal muscle, among them 30 and 46 miRNAs were upregulated and downregulated in IUGR pigs, respectively. Upregulated miRNAs were mainly enriched in propanoate metabolism, endocytosis, beta-Alanine metabolism, gap junction, and tumor necrosis factor signaling pathway. Down-regulated miRNAs were mainly enriched in chemical carcinogenesis—receptor activation, endocytosis, MAPK signaling pathway, insulin resistance, and EGFR tyrosine kinase inhibitor resistance. Co-expression network analysis of umbilical cord blood and skeletal muscle miRNAs showed that the miR-29 family is an essential regulator of IUGR pigs. The dual-luciferase reporter system showed that IGF1 and CCND1 were target genes of the miR-29 family. Transfection of IUGR pig umbilical cord blood exosomes and miR-29a mimic significantly inhibited cell proliferation and promoted the expression of cellular protein degradation marker genes Fbxo32 and Trim63. In summary, these results enrich the regulatory network of miRNAs involved in skeletal muscle development in IUGR animals.