Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct cost analysis of rapid MRI in the emergency department evaluation of patients suspected of having acute ischemic stroke**

Background Abbreviated “rapid MRI” protocols have become more common for the evaluation of acute ischemic stroke (AIS). Prior research has not evaluated the effect of rapid MRIs on cost or hospital length of stay in AIS patients. Methods We retrospectively identified AIS patients who presented within 6 h of acute neurologic symptom onset to an emergency department (ED) and activated a “brain attack” code. We included sequential patients from January 2012 to September 2015, before rapid MRI was available, who had CT perfusion (CTP) and compared them to patients from October 2015 to May 2018 who had a rapid MRI. We used inverse-probability-weighting (IPW) to balance the cohorts. The primary outcomes were direct cost to our healthcare system and total hospital length of stay (LOS). Results We included 408 brain attack activations (mean ± SD age 62.1 ± 17.6 years, 47.8% male): 257 in the CTP cohort and 151 in the MRI cohort. Discharge diagnosis was ischemic stroke in 193/408 (47.3%). After patient matching, we found significant reductions for the MRI cohort in total cost (−18.7%, 95% CI −35.0, −2.4, p = 0.02) and hospital LOS (−17.0%, 95% CI −31.2, −2.8, p = 0.02), with no difference in ED LOS (p = 0.74) as compared to the CTP cohort. Conclusion Although these results are preliminary and hypothesis-generating, we found that the use of a rapid MRI protocol in emergency department brain attacks was associated with a 18.7% reduction in total direct cost and 17% reduction in hospital length of stay.
Mitigation of Half-Cycle Saturation of Adjacent Transformers During HVDC Monopolar Operation—Part I: Mitigation Principle and Device Design

When HVDC transmission systems operate in the ground return mode, transformers in adjacent ac systems frequently suffer half-cycle saturation. In this two-part paper, an effective mitigation method using power electronic switches is proposed that does not compromise the ability of the protection system to detect fault currents. In Part I, a study is conducted to find the physical performance of the half-cycle saturation and give a technical solution to the inrush-like half-cycle saturated currents. Power electronic switches, opening the neutral connection to ground, are utilized to mitigate the saturation without compromising the reference ground of the transformer. The determination of the switch parameters, switching frequency, and duty cycle is performed. Details of the mitigation transient are studied by comparing simulations and laboratory experiments to validate the efficacy of the proposed power electronic switch for the mitigation of half-cycle saturated currents. In Part II, the influence of the proposed switch on the detection of ground faults is investigated. Proper parameter and operation strategies are selected to effectively detect the ground faults and ensure the fast response of protective relays. The techniques proposed are applicable to mitigate geomagnetically induced current.
Zero-Dimensional Zn-based Halides with Ultra-Long Room-Temperature Phosphorescence for Time-Resolved Anti-Counterfeiting.

Though fluorescence-tag-based anti-counterfeiting technology has distinguished itself with cost-effective feature and huge information loading capacity, the clonable decryption process of spatial-resolved anti-counterfeiting can not meet the requirements for high-security-level anti-counterfeiting. Herein, we demonstrate a spatial-time-dual-resolved anti-counterfeiting system based on new organic-inorganic hybrid halides BAPPZn 2 (Cl y Br 1-y ) 8 (BAPP=1,4-bis(3-aminopropyl) piperazinium , y = 0-1) with ultralong room-temperature phosphorescence (RTP). Remarkably, the afterglow lifetime can be facilely tuned by regulating the halide-induced heavy-atom effect and can be identified by the naked eyes or with the help of a simple machine vision system. Therefore, the short-lived unicolor fluorescence and lasting-time-tunable RTP provide the prerequisites for unicolor-time-resolved anti-counterfeiting, which lowers the decryption-device requirements and further provides the design strategy of advanced portable anti-counterfeiting technology.
Infant nutrition (donor human milk vs. maternal milk) and long-term neurodevelopmental and growth outcomes in very low birth weight infants

Abstract Background Human milk, the ultimate source of nutrition for premature infants, enhances host defense mechanism, gastrointestinal maturation, lowers infection rate, improves neurodevelopmental outcomes, and reduces long-term cardiovascular and metabolic disease. Recently, there has been an increase in donor breast milk (DBM) use for premature infants; however, data are limited on the long-term effects of DBM on the infant’s growth and neurodevelopmental outcomes. Objective To determine if there is an association between type of infant nutrition (maternal breast milk (MBM) or DBM) and neurodevelopmental and growth outcomes in very low birth weight (VLBW) infants. Design/methods Retrospective cohort study of VLBW (<1500 g) infants admitted to the Baylor Scott & White Memorial Hospital Neonatal Intensive Care Unit from January 2014 to December 2016. Infants with major congenital anomalies, born at an outside hospital, who were nil per os (NPO) for >15 days, or who died before NICU discharge were excluded. Infants were stratified into two groups (MBM or DBM) based on predominant nutrition (>50%) received in the first month of life. Primary outcomes of neurodevelopmental delay(s) between 2 and 4 years of age identified via ICD 9/10 codes. Growth data (weight, length, and head circumference) were obtained from well-check visits at 12-, 18-, 24-, 36-, and 48-months. Severity of illness was determined using the Clinical Risk Index in Babies-II (CRIB-II) score. Generalized linear models were used to assess the relationship between nutrition and neurodevelopmental delay and trends in growth over time. Results Two hundred and nine infants were included: 146 MBM; 63 DBM. Median gestational age was 28 weeks (range, 23–35) and median birthweight was 1050 g (range, 410–1470). There were no significant differences in birthweight, gestational age, CRIB-II score, or length of stay between the groups. Infants fed DBM had a significantly larger weight z-score (p=.005), length z-score (p=.01), and head circumference z-score (p=.04), on average from birth to 48 months compared to MBM infants, while controlling for NICU length of stay and number of follow-up months; however, this only equated to DBM infants being 0.5 in taller and 0.9 lbs heavier at 48 months. There were no statistically significant differences among type of infant nutrition and long-term neurodevelopmental outcomes, while controlling for CRIB-II score. Conclusions Infants fed DBM have a slightly greater propensity for growth over time compared to infants fed MBM. Longer follow-up is needed to further determine the effect, infant nutrition has on neurodevelopmental outcomes.
The RNA-Binding Protein HuR Posttranscriptionally Regulates the Protumorigenic Activator YAP1 in Pancreatic Ductal Adenocarcinoma

Yes-associated protein 1 (YAP1) is indispensable for the development of mutant KRAS-driven pancreatic ductal adenocarcinoma (PDAC). High YAP1 mRNA is a prognostic marker for worse overall survival in patient samples; however, the regulatory mechanisms that mediate its overexpression are not well understood. YAP1 genetic alterations are rare in PDAC, suggesting that its dysregulation is likely not due to genetic events. ABSTRACT Yes-associated protein 1 (YAP1) is indispensable for the development of mutant KRAS-driven pancreatic ductal adenocarcinoma (PDAC). High YAP1 mRNA is a prognostic marker for worse overall survival in patient samples; however, the regulatory mechanisms that mediate its overexpression are not well understood. YAP1 genetic alterations are rare in PDAC, suggesting that its dysregulation is likely not due to genetic events. HuR is an RNA-binding protein whose inhibition impacts many cancer-associated pathways, including the “conserved YAP1 signature” as demonstrated by gene set enrichment analysis. Screening publicly available and internal ribonucleoprotein immunoprecipitation (RNP-IP) RNA sequencing (RNA-Seq) data sets, we discovered that YAP1 is a high-confidence target, which was validated in vitro with independent RNP-IPs and 3′ untranslated region (UTR) binding assays. In accordance with our RNA sequencing analysis, transient inhibition (e.g., small interfering RNA [siRNA] and small-molecular inhibition) and CRISPR knockout of HuR significantly reduced expression of YAP1 and its transcriptional targets. We used these data to develop a HuR activity signature (HAS), in which high expression predicts significantly worse overall and disease-free survival in patient samples. Importantly, the signature strongly correlates with YAP1 mRNA expression. These findings highlight a novel mechanism of YAP1 regulation, which may explain how tumor cells maintain YAP1 mRNA expression at dynamic times during pancreatic tumorigenesis.
Radar Imaging of Nonstationary Rotating Ship Target With GEO-Shipborne Bistatic Configuration

Geosynchronous satellite (GEO) synthetic aperture radar (SAR) has a number of advantages in marine surveillance due to the global-scale coverage and strong anti-strike capability. However, ship imaging represents a challenge for SAR systems, as it has nonstationary 3-D rotations induced by irregular ocean waves, which produces evident image defocusing. In order to overcome such a problem, a novel kind of bistatic inverse synthetic aperture radar (ISAR) configuration, named GEO-shipborne bistatic ISAR, is presented. In this paper, the receiver signal model of GEO-Shipborne bistatic ISAR configuration is derived when the target and the receiver ship both have 3-D nonstationary rotations. On the basis of the proposed model, an analysis of imaging aliasing induced by receiver ship’s rotations and GEO transmitter’s orbital motion on the obtained images is given and compensation algorithms are discussed. Then, a novel algorithm of GEO-Shipborne bistatic ISAR imaging in combination with the modified cubic phase function (MCPF) is proposed. Simulation results validate the correctness of the proposed model and the effectiveness of the novel algorithm proposed for GEO-Shipborne bistatic ISAR configuration.
A dynamic 3‐factor survival model for acute myeloid leukemia that accounts for response to induction chemotherapy

The current study was approached with the assumption that response to induction chemotherapy, in acute myeloid leukemia (AML), overshadows pre‐treatment risk variables in predicting survival and therefore be used as an anchor for a simplified risk model. We considered 759 intensively‐treated patients with AML, not promyelocytic: median age 60 years; primary 66%, secondary 25%, and therapy‐related 9%; European LeukemiaNet cytogenetic risk category favorable 8%, intermediate 61%, and adverse 31%. Complete remission with (CR) or without (CRi) count recovery was achieved in 608 (80%) patients. After a median follow‐up of 22 months, 503 deaths, 272 relapses, and 257 allogeneic hematopoietic stem cell transplants (AHSCTs) were recorded. Multivariable analysis identified failure to achieve CR/CRi (HR 3.8, 95% CI 3.1–4.8), adverse karyotype (2.2, 1.8–2.8), and age >55 years (2.1, 1.6–2.7) as main risk factors for survival. HR‐weighted scoring resulted in four‐tiered risk stratification: low (0 points; N = 183), intermediate‐1 (1 point; N = 331), intermediate‐2 (2 points; N = 117), and high (≥3 points; N = 128), with respective median survival (5‐year rate) not reached (68%), 34 (37%), 13 (20%), and 5 (5%) months (p < .001). FLT3‐ITD mutation was associated with inferior survival in intermediate‐1 (p = .004) and TP53 in intermediate‐2 (p = .06) and high (p = .02) risk disease; the latter was fully accounted for by the close association between TP53 mutation and complex/monosomal karyotype while the observations regarding FLT3‐ITD were not affected by treatment with midostaurin. AHSCT had a favorable impact on survival, most apparent in intermediate‐1 (p < .001), intermediate‐2 (p = .03), and high (p = .01) risk disease. The proposed 3‐factor survival model offers a novel prototype that is amenable to further enhancement by molecular information and was validated in an external cohort of 1032 intensively‐treated AML patients.
The Role of Workload Management in Injury Prevention, Athletic, and Academic Performance in the Student-Athlete

Abstract Workload plays important roles in sports-related injury and athletic performance by influencing exposure to external injury risk factors and potential events, promoting changes in fitness level, which involves positive adaptations to training that may lead to improved performance, and/or stimulating fatigue which leads to negative effects in the body that may increase the risk of injury and negatively affect performance. In addition to the physical stress and significant time required for practice and training, student athletes also face subjective stressors. The total workload affects injury risk, but acute changes or spikes in external and/or internal loads seem to affect injury risk the most. These also may lead to poor recovery practices that may affect physical and academic performance. It is important for the medical team, coaches, parents, and the student athlete to understand the vulnerability of this population to increased amounts of workload and its positive and negative effects.
Yellow fever vaccination before and during the covid-19 pandemic in Brazil

ABSTRACT OBJECTIVE To analyze the number of yellow fever vaccine doses administered before and during the covid-19 pandemic in Brazil. METHODS This is an ecological, time series study based on data from the National Immunization Program. Differences between the median number of yellow fever vaccine doses administered in Brazil and in its regions before (from April/2019 to March/2020) and after (from April/2020 to March/2021) the implementation of social distancing measures in the country were assessed via the Mann-Whitney test. Prais-Winsten regression models were used for time series analyses. RESULTS We found a reduction in the median number of yellow fever vaccine doses administered in Brazil and in its regions: North (-34.71%), Midwest (-21.72%), South (-63.50%), and Southeast (-34.42%) (p < 0.05). Series showed stationary behavior in Brazil and in its five regions during the covid-19 pandemic (p > 0.05). Brazilian states also showed stationary trends, except for two states which recorded an increasing trend in the number of administered yellow fever vaccine doses, namely: Alagoas State (before: β = 64, p = 0.081; after: β = 897, p = 0.039), which became a yellow fever vaccine recommendation zone, and Roraima State (before: β = 68, p = 0.724; after: β = 150, p = 0.000), which intensified yellow fever vaccinations due to a yellow fever case confirmation in a Venezuelan State in 2020. CONCLUSION The reduced number of yellow fever vaccine doses administered during the covid-19 pandemic in Brazil may favor the reemergence of urban yellow fever cases in the country.
RIEF: Mapping the Development of Leadership Skills for Undergraduate Engineering Students in Leadership Positions

Dr. Lilley’s research interests in engineering education focus on professional development of engineering students at the undergraduate and graduate level. In particular, she is interested in the nuances of how the intersection of race/ethnicity with gender affects professional development in the area of leadership and the long term career trajectory of an individual. Her other research interests are focused on syntheses of low dimensions materials and the characterization and modeling of their material properties.
Cytochrome P450 2J Genes Are Expressed in Dogs, Cats, and Pigs, and Encode Functional Drug-Metabolizing Enzymes

Cytochrome P450s (P450s) have been identified and analyzed in dogs and pigs, species that are often used in preclinical drug studies. Moreover, P450s are clinically important for drug therapy not only in humans, but also in species under veterinary care, including dogs and cats. In the present study, seven P450s homologous to human CYP2J2, namely, dog CYP2J2; cat CYP2J2; and pig CYP2J33, CYP2J35, CYP2J91, and CYP2J93, were newly identified and characterized, along with pig CYP2J34 previously identified. The cDNAs of these CYP2Js contain open reading frames of 502 amino acids, except for CYP2J35 (498 amino acids), and share high sequence identity (77%–80%) with human CYP2J2. Phylogenetic analysis revealed that dog and cat CYP2J2 were closely related, whereas pig CYP2Js formed a cluster. All seven CYP2J genes contain nine coding exons and are located in corresponding genomic regions, with the pig CYP2J genes forming a gene cluster. These CYP2J2 mRNAs were predominantly expressed in the small intestine with additional expression in the kidney and brain for dog CYP2J2 and pig CYP2J91 mRNAs, respectively. All seven CYP2Js metabolized human CYP2J2 substrates terfenadine, ebastine, and astemizole, indicating that they are functional enzymes. Dog CYP2J2 and pig CYP2J34 and CYP2J35 efficiently catalyzed ebastine primary hydroxylation and secondary carebastine formation at low substrate concentrations, just as human CYP2J2 does. Velocity-versus-substate plots exhibited sigmoidal relationships for dog CYP2J2, cat CYP2J2, and pig CYP2J33, indicating allosteric interactions. These results suggest that dog, cat, and pig CYP2Js have similar functional characteristics to human CYP2J2, with slight differences in ebastine and astemizole oxidations. SIGNIFICANCE STATEMENT Dog CYP2J2; cat CYP2J2; and pig CYP2J33, CYP2J34, CYP2J35, CYP2J91, and CYP2J93, homologous to human CYP2J2, were identified and characterized by sequence, phylogenetic, and genomic structure analyses. Intestinal expression patterns of CYP2J mRNAs were characteristic in dogs, cats, and pigs. Dog, cat, and pig CYP2Js likely play roles as drug-metabolizing enzymes in the small intestine, similar to human CYP2J2.
CASIA-E: A Large Comprehensive Dataset for Gait Recognition

Gait recognition plays a special role in visual surveillance due to its unique advantage, e.g., long-distance, cross-view and non-cooperative recognition. However, it has not yet been widely applied. One reason for this awkwardness is the lack of a truly big dataset captured in practical outdoor scenarios. Here, the “big” at least means: (1) huge amount of gait videos; (2) sufficient subjects; (3) rich attributes; and (4) spatial and temporal variations. Moreover, most existing large-scale gait datasets are collected indoors, which have few challenges from real scenes, such as the dynamic and complex background clutters, illumination variations, vertical view variations, etc. In this article, we introduce a newly built big outdoor gait dataset, called CASIA-E. It contains more than one thousand people distributed over near one million videos. Each person involves 26 view angles and varied appearances caused by changes of bag carrying, dressing and walking styles. The videos are captured across five months and across three kinds of outdoor scenes. Soft biometric features are also recorded for all subjects including age, gender, height, weight, and nationality. Besides, we report an experimental benchmark and examine some meaningful problems that have not been well studied previously, e.g., the influence of million-level training videos, vertical view angles, walking styles, and the thermal infrared modality. We believe that such a big outdoor dataset and the experimental benchmark will promote the development of gait recognition in both academic research and industrial applications.
Phase 1 Single Ascending and Multiple Ascending Dose Studies of Phosphodiesterase-9 Inhibitor E2027

Background: E2027 is a novel, highly selective and potent inhibitor of phosphodiesterase9 (PDE9) being evaluated as a treatment for dementia with Lewy bodies. Methods: Phase 1, randomized, double-blind, single ascending dose (SAD, n=96) and multiple ascending dose (MAD, n=68) studies evaluated E2027 doses (5 to 1200 mg) in healthy subjects. The impact of age, race (Japanese/non-Japanese), and food on pharmacokinetics (PK)/pharmacodynamics were evaluated. Serial cerebrospinal fluid (CSF) samples were collected to assess the target engagement. Results: E2027 PK profiles were biphasic (elimination half-life: ~30 hours. Approximately 3-fold accumulation was observed following multiple once-daily dosing. E2027 single doses of 50 to 400 mg resulted in mean maximum increases in CSF cyclic guanosine monophosphate ranging from 293% to 461% within 5.37 to 12.9 hours after dose administration to assess target engagement. Dose-response modelling of steady-state predose CSF cyclic guanosine monophosphate concentrations showed ≥200% increase from baseline is maintained with doses of ≥50 mg QD. The most common adverse events with E2027 were post-LP syndrome and back pain. PK profiles were similar between Japanese and non-Japanese. Higher exposure observed in fed versus fasted state was not considered clinically significant. PK exposure was higher in elderly subjects. Conclusions: S.E2027 was well-tolerated following single and multiple administration. E2027 achieved maximal and sustained target engagement at 50 mg QD, the dose selected for the phase 2 clinical trial.
Tell me where you went, I may tell who you infected

1. Serviço de Pneumologia, Centro Hospitalar Tondela-Viseu, Viseu, Portugal. 2. Serviço de Pneumologia, Centro Hospitalar Baixo-Vouga, Aveiro, Portugal. 3. EPIUnit Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal. 4. Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal. 5. Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal. 6. ICBAS-UP Instituto de Ciências Biomédicas de Abel Salazar, Universidade do Porto, Porto, Portugal. 7. Serviço de Pneumologia, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal. 8. Unidade de Investigação Clínica, Administração Regional de Saúde do Norte, Porto, Portugal. TO THE EDITOR,
A Decade of GigaScience: The Challenges of Gigapixel Pathology Images

Abstract In the last decade, the field of computational pathology has advanced at a rapid pace because of the availability of deep neural networks, which achieved their first successes in computer vision tasks in 2012. An important driver for the progress of the field were public competitions, so called ‘Grand Challenges’, in which increasingly large data sets were offered to the public to solve clinically relevant tasks. Going from the first Pathology challenges, which had data obtained from 23 patients, to current challenges sharing data of thousands of patients, performance of developed deep learning solutions has reached (and sometimes surpassed) the level of experienced pathologists for specific tasks. We expect future challenges to broaden the horizon, for instance by combining data from radiology, pathology and tumor genetics, and to extract prognostic and predictive information independent of currently used grading schemes.