Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Care Utilization and Outcomes Associated with Accidental Poisonous Mushroom Ingestions — United States, 2016–2018

Accidental consumption of poisonous mushrooms can result in serious illness and death (1). Reports of severe poisonings from consumption of foraged mushrooms for food or hallucinogenic purposes increased during 1999-2016 (2), and approximately 7,500 poisonous mushroom ingestions were reported annually to poison control centers across the United States (1). To estimate the frequency of emergency department (ED) visits, hospitalizations, and severe adverse outcomes associated with accidental poisonous mushroom ingestion in the United States, CDC analyzed 2016 data from the Healthcare Cost and Utilization Project's* Nationwide Emergency Department Sample (HCUP-NEDS) and National Inpatient Sample (HCUP-NIS) databases as well as 2016-2018 data from three IBM MarketScan sources: Commercial Claims and Encounters (CCAE), Medicare Supplemental and Coordination of Benefits (Medicare), and Multi-State Medicaid databases. During 2016, 1,328 (standard error [SE] = 100) ED visits and 100 (SE = 22) hospitalizations (HCUP data) were associated with accidental poisonous mushroom ingestion. Among 556 patients with a diagnosis of accidental poisonous mushroom ingestion, 48 (8.6%) patients experienced a serious adverse outcome during 2016-2018 (MarketScan data). Serious adverse outcomes were more common among Medicaid-insured patients than among patients with commercial insurance or Medicare (11.5% versus 6.7%, p = 0.049). Because most mushroom poisonings are preventable, wild mushrooms should not be consumed unless they are identified by an expert; increased public health messaging about the potential dangers of mushroom poisoning is needed.
A practical guide to selecting models for exploration, inference, and prediction in ecology

Abstract Selecting among competing statistical models is a core challenge in science. However, the many possible approaches and techniques for model selection, and the conflicting recommendations for their use, can be confusing. We contend that much confusion surrounding statistical model selection results from failing to first clearly specify the purpose of the analysis. We argue that there are three distinct goals for statistical modeling in ecology: data exploration, inference, and prediction. Once the modeling goal is clearly articulated, an appropriate model selection procedure is easier to identify. We review model selection approaches and highlight their strengths and weaknesses relative to each of the three modeling goals. We then present examples of modeling for exploration, inference, and prediction using a time series of butterfly population counts. These show how a model selection approach flows naturally from the modeling goal, leading to different models selected for different purposes, even with exactly the same data set. This review illustrates best practices for ecologists and should serve as a reminder that statistical recipes cannot substitute for critical thinking or for the use of independent data to test hypotheses and validate predictions.
Use of magnetic resonance imaging lymphangiography for preoperative planning in lymphedema surgery: A systematic review

In recent years, magnetic resonance imaging lymphangiography (MRL) has emerged as a way to predict if patients are candidates for lymphedema surgery, particularly lymphovenous anastomosis (LVA). Our goal was to conduct a systematic review of the literature on the use of MRL for preoperative planning in lymphedema surgery. We hypothesized that MRL could add valuable information to the standard preoperative evaluation of lymphedema patients.
Nuanced relations between simultaneous alcohol and cannabis use motives and negative consequences among college students: The role of multiple product use.

Simultaneous alcohol and marijuana (SAM) use is common, but it exacerbates negative consequences. Individuals use alcohol and cannabis products in different ways and have distinct reasons for use. The present study examines day-level effects of motives on consequences on SAM-use days, accounting for consumption, and tests whether using multiple alcohol (e.g., beer + liquor) and/or cannabis (e.g., concentrate + leaf) products on the same day mediates these relations. College students engaging in SAM use at least once in the past month (N = 281; Mage = 20.17) completed two bursts of 28 consecutive days of data collection. We examined within-person effects of motives (effect-enhancement, social, offered [it was offered], coping) on number of negative consequences and on experiencing hangover, nausea, or blackout; and indirect effects via two concurrent mediators: using multiple alcohol products and multiple cannabis products. Total effect models showed effect-enhancement motives were related to nausea, social motives to number of total consequences and hangover, and coping motives to blackout. Effect-enhancement, social, and offered motives evinced significant indirect effects on consequence outcomes via multiple alcohol, but not cannabis, product use. Coping motives did not exhibit significant indirect effects, and were related to multiple cannabis, but not alcohol, product use, although all other motives were related to both mediators. Findings support recent work demonstrating within-person relations between social motives and negative consequences on SAM-use days. Limiting the number of alcohol products consumed on SAM-use days may be beneficial, particularly for young adults using to enhance intoxication or for social reasons. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
MARK2 phosphorylates eIF2α in response to proteotoxic stress

The regulation of protein synthesis is essential for maintaining cellular homeostasis, especially during stress responses, and its dysregulation could underlie the development of human diseases. The critical step during translation regulation is the phosphorylation of eukaryotic initiation factor 2 alpha (eIF2α). Here we report the identification of a direct kinase of eIF2α, microtubule affinity-regulating kinase 2 (MARK2), which phosphorylates eIF2α in response to proteotoxic stress. The activity of MARK2 was confirmed in the cells lacking the 4 previously known eIF2α kinases. MARK2 itself was found to be a substrate of protein kinase C delta (PKCδ), which serves as a sensor for protein misfolding stress through a dynamic interaction with heat shock protein 90 (HSP90). Both MARK2 and PKCδ are activated via phosphorylation in proteotoxicity-associated neurodegenerative mouse models and in human patients with amyotrophic lateral sclerosis (ALS). These results reveal a PKCδ-MARK2-eIF2α cascade that may play a critical role in cellular proteotoxic stress responses and human diseases.
Removal of SARS-CoV-2 bioaerosols using ultraviolet air filtration

Abstract Engineering controls play an important role in reducing the spread of severe acute respiratory coronavirus virus 2 (SARS-CoV-2). 1 Established technologies such as air filtration, and novel approaches such as ultraviolet (UV)-C light or plasma air ionization, have the potential to support the fight against the coronavirus disease 2019 (COVID-19) pandemic. 2 We tested the efficacy of an air purification system (APS) combining UV-C light and high-efficiency particulate air (HEPA) filtration in a controlled environment using SARS-CoV-2 as test organism. The APS successfully removed the virus from the air using UV-C light by itself and in combination with HEPA air filtration.
Levetiracetam Versus Phenytoin or Fosphenytoin for Second-Line Treatment of Pediatric Status Epilepticus: A Meta-Analysis

Supplemental Digital Content is available in the text. OBJECTIVE: To synthesize the available evidence examining the efficacy and safety of levetiracetam compared with phenytoin or fosphenytoin in benzodiazepine-refractory pediatric status epilepticus. Data Sources: We searched (from inception until April 27, 2020) Ovid MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials. Study Selection: Two reviewers, independently and in duplicate, screened citations and manuscripts for eligible randomized controlled trials. Data Extraction and Synthesis: Independently and in duplicate, we performed data abstraction, risk of bias assessment, and certainty assessment using Grading of Recommendations, Assessment, Development, and Evaluation. We performed meta-analyses using random-effect models or, if insufficient data, presented findings narratively. Results: We identified seven randomized controlled trials (n = 1,575). Pooled analysis demonstrated low certainty evidence for no difference of levetiracetam on time to seizure cessation (mean difference, –3.11 min; 95% CI, –6.67 to 0.45), early seizure cessation (relative risk, 1.09, 95% CI, 0.95–1.26), or late seizure cessation (relative risk, 1.05; 95% CI, 0.93–1.18). Adverse event outcomes were limited by low event numbers. We found low certainty evidence for less respiratory depression with levetiracetam (relative risk, 0.28; 95% CI, 0.12–0.69). Conclusions: The efficacy of levetiracetam is comparable with phenytoin or fosphenytoin in children with benzodiazepine-refractory status epilepticus (low certainty evidence). Levetiracetam may cause less respiratory depression. Clinicians and guideline developers should weigh safety profiles when choosing between these agents.
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study

During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influence of ‘macro-level’ environmental factors and ‘micro-level’ psychological variables on both fear and perceived health. Here, we investigate predictors of fear and perceived health using machine learning as lockdown restrictions in response to the COVID-19 pandemic were introduced in Austria, Spain, Poland and Czech Republic. Over a seven-week period, 533 participants completed weekly self-report surveys which measured the target variables subjective fear of the virus and perceived health, in addition to potential predictive variables related to psychological factors, social factors, perceived vulnerability to disease (PVD), and economic circumstances. Viral spread, mortality and governmental responses were further included in the analysis as potential environmental predictors. Results revealed that our models could accurately predict fear of the virus (accounting for approximately 23% of the variance) using predictive factors such as worrying about shortages in food supplies and perceived vulnerability to disease (PVD), where interestingly, environmental factors such as spread of the virus and governmental restrictions did not contribute to this prediction. Furthermore, our results revealed that perceived health could be predicted using PVD, physical exercise, attachment anxiety and age as input features, albeit with smaller effect sizes. Taken together, our results emphasize the importance of ‘micro-level’ psychological factors, as opposed to ‘macro-level’ environmental factors, when predicting fear and perceived health, and offer a starting point for more extensive research on the influences of pathogen threat and governmental restrictions on the psychology of fear and health.
Cost-effectiveness of Erenumab Versus Surgical Trigger Site Deactivation for the Treatment of Migraine Headaches: A Systematic Review

Background: Migraine headache is a common, debilitating condition responsible for astronomical societal burden. The chronicity of migraine headaches necessitates the use of many healthcare services. Preventative treatment remains the desirable option for this patient population. Pharmacologic advances have led to the development of erenumab, a monoclonal antibody calcitonin gene-related peptide receptor antagonist that directly interferes with the known biochemical pathway of migraine initiation. Alternatively, surgical decompression of migraine trigger sites is a historically effective preventative option for certain patients experiencing migraine headaches. As new treatments emerge, the large economic burden of migraine headaches requires cost evaluation against already available preventative modalities. Methods: Studies evaluating the cost-effectiveness of both erenumab and surgical trigger site deactivation were found using EMBASE and MedLine. Relevant economic data was extracted from this literature and the cost of treatment with erenumab was compared with surgical decompression. Results: The market price of erenumab is $6900/yr. Speculative models predicted a direct annual healthcare cost ranging from $11,404 to $12,988 for patients experiencing episodic migraine. For chronic migraine patients, this range extended to $25,604. Annual indirect costs ranged from $7601 to $19,377. Prospective and model-based studies evaluating surgical trigger site deactivation reported an average 1 time surgical cost between $6956 and $10,303. In episodic migraine, subsequent annual healthcare costs were $900. Conclusions: Erenumab has potential to be a revolutionary noninvasive preventative treatment for migraine headache. With that said, the cost-conscious option for patients receiving more than 1 year of treatment remains surgical trigger site deactivation.
CARM1 Inhibition Enables Immunotherapy of Resistant Tumors by Dual Action on Tumor cells and T cells.

A number of cancer drugs activate innate immune pathways in tumor cells but unfortunately also compromise anti-tumor immune function. We discovered that inhibition of Carm1, an epigenetic enzyme and co-transcriptional activator, elicited beneficial anti-tumor activity in both cytotoxic T cells and tumor cells. In T cells, Carm1 inactivation substantially enhanced their anti-tumor function and preserved memory-like populations required for sustained anti-tumor immunity. In tumor cells, Carm1 inactivation induced a potent type 1 interferon response that sensitized resistant tumors to cytotoxic T cells. Substantially increased numbers of dendritic cells, CD8 T cells and NK cells were present in Carm1-deficient tumors, and infiltrating CD8 T cells expressed low levels of exhaustion markers. Targeting of Carm1 with a small molecule elicited potent anti-tumor immunity and sensitized resistant tumors to checkpoint blockade. Targeting of this co-transcriptional regulator thus offers an opportunity to enhance immune function while simultaneously sensitizing resistant tumor cells to immune attack.
FEN1 is a prognostic biomarker for ER+ breast cancer and associated with tamoxifen resistance through the ERα/cyclin D1/Rb axis

Background Tamoxifen is an important choice in endocrine therapy for patients with oestrogen receptor-positive (ER+) breast cancer, and disease progression-associated resistance to tamoxifen therapy is still challenging. Flap endonuclease-1 (FEN1) is used as a prognostic biomarker and is considered to participate in proliferation, migration, and drug resistance in multiple cancers, especially breast cancer, but the prognostic function of FEN1 in ER+ breast cancer, and whether FEN1 is related to tamoxifen resistance or not, remain to be explored. Methods On-line database Kaplan-Meier (KM) plotter, GEO datasets, and immunohistochemistry were used to analyse the prognostic value of FEN1 in ER+ breast cancer from mRNA and protein levels. Cell viability assay and colony formation assays showed the response of tamoxifen in MCF-7 and T47D cells. Microarray data with FEN1 siRNA versus control group in MCF-7 cells were analysed by Gene Set Enrichment Analysis (GSEA). The protein levels downstream of FEN1 were detected by western blot assay. Results ER+ breast cancer patients who received tamoxifen for adjuvant endocrine therapy with poor prognosis showed a high expression of FEN1. MCF-7 and T47D appeared resistant to tamoxifen after FEN1 over-expression and increased sensitivity to tamoxifen after FEN1 knockdown. Importantly, FEN1 over-expression could activate tamoxifen resistance through the ERα/cyclin D1/Rb axis. Conclusions As a biomarker of tamoxifen effectiveness, FEN1 participates in tamoxifen resistance through ERα/cyclin D1/Rb axis. In the future, reversing tamoxifen resistance by knocking-down FEN1 or by way of action as a small molecular inhibitor of FEN1 warrants further investigation.
Acylaminoacetyl derivatives of active methylene compounds. 1. The cyclization of the benzoylaminoacetyl derivatives to α‐substituted tetramic acids

Hippuric acid was converted to α-Y-substituted tetramic acids (Y = -CN, -CO2R and -COCH3) according to the following general scheme of reactions: a) preparation of the hippuric acid chloride or of its p-nitrophenyl ester; b) C-acylation of an active methylene compound Y-CH2-CO2R using the acid chloride or the active ester; and c) intramolecular condensation of the C-acylation compound to an α-Y-substituted tetramic acid. The conditions of the C-acylation reaction and the structure and reactivity of the benzoylaminoacetyl derivatives were investigated.
Turn-over of an oxazoline ring induced by chiral change of a folded ascidiacycl­amide analogue: cyclo(Ile-d–aThr–d-Val–Thz–Ile–d-Oxz–d-Val–Thz) N,N-di­methyl­form­amide disolvate

Ascidiacycl­amide (ASC) has two oxazoline (Oxz) residues with 2S,3R configurations. In the title compound, C36H54N8O7S2·2C3H7NO, these Oxz residues were replaced with d-aThr and (2R,3S)–Oxz (d-Oxz). The overall structure is similar to the folded from of ASC analogues previously reported, but a difference was found at the d-Oxz residue. The d-Oxz ring was turned over in relation to the disposition of the Oxz rings in natural ASC. This result suggested that the modification of Oxz could induce a new type of molecular folding in ASC.
Highly anisotropic and flexible piezoceramic kirigami for preventing joint disorders

A functional piezoelectric kirigami monitors the joint motions for the prevention of musculoskeletal disorders. The prevention of work-related upper extremity musculoskeletal disorders (MSDs; e.g., neck pain and shoulder fatigue) requires frequent exercises of neck and shoulder that primarily rely on the assistance of joint motion monitoring devices. However, most available wearable healthcare sensors are rigid, bulky, and incapable of recognizing the full range of human motions. Here, we propose a kirigami-structured highly anisotropic piezoelectric network composite sensor that is able to monitor multiple information of joint motions, including bending direction, bending radius, and motion modes, and to distinguish them simultaneously within one sensor unit. On the basis of the modified template-assisted processing method, we design a functional piezoceramic kirigami with a honeycomb network structure that is stretchable (~100% strain), highly sensitive (15.4 mV kPa−1), and highly anisotropic to bending directions (17.3 times from 90° to 0°). An integrated monitoring system is further established to alarm the prolonged sedentary behaviors, facilitating the prevention of upper extremity MSDs.
PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation

As Video Streaming and Analytics (VSA) systems become increasingly popular, serious privacy concerns have risen on exposing too much unnecessary private information to the VSA providers. Yet, it is challenging to protect privacy while still preserving desired VSA features, i.e., effective analytics, forensic support, resource efficiency, and real-time execution. In this paper, we present a VSA privacy enhancement system (PECAM), which addresses the above challenge with no change in the VSA back-end. PECAM leverages a novel Generative Adversarial Network to perform the privacy-enhanced securely-reversible video transformation. PECAM also incorporates a couple of system optimizations into its VSA workflow to reduce network bandwidth usage and enable real-time processing on cameras. We implement our PECAM prototype on commodity hardware and evaluate its performance via both security study and extensive experiments. Results demonstrate that PECAM can effectively enhance the visual privacy of VSA in the presence of an adversary, and its transformed videos, when taken as input for various VSA back-end tasks, maintain a 96% accuracy of corresponding original videos. Additionally, it performs 12.3× and 1.8× better than baseline methods in terms of the computing cost and network bandwidth usage, respectively.
A principled design for passive light communication

To take advantage of Visible Light Communication (VLC) for low-power applications, such as IoT tags, researchers have been developing systems to modulate (backscatter) ambient light using LC shutters. Various approaches have been explored for single-pixel transmitters, but without following a principled approach. This has resulted in either relatively low data rates, short ranges, or the need for powerful artificial light sources. This paper takes a step back and proposes a more theoretical framework: ChromaLux. By considering the fundamental characteristics of liquid crystals (birefringence and thickness), we demonstrate that the design space is way larger than previously explored, allowing for much better systems. In particular, we uncover the existence of a transient state where the switching time can be reduced by an order of magnitude without lowering the contrast significantly, improving both range and data rate. Using a prototype, we demonstrate that our framework is applicable to different LCs. Our results show significant improvements over state-of-the-art single-pixel systems, achieving ranges of 50 meters at 1 kbps and with bit-error-rates below 1%.
CO2 gas separation using mixed matrix membranes based on polyethersulfone/MIL-100(Al)

Abstract The excessive use of natural gas and other fossil fuels by the industrial sector leads to the production of great quantities of gas pollutants, including CO2, SO2, and NO x . Consequently, these gases increase the temperature of the earth, producing global warming. Different strategies have been developed to help overcome this problem, including the utilization of separation membrane technology. Mixed matrix membranes (MMMs) are hybrid membranes that combine an organic polymer as a matrix and an inorganic compound as a filler. In this study, MMMs were prepared based on polyethersulfone (PES) and a type of metal–organic framework (MOF), Materials of Institute Lavoisier (MIL)-100(Al) [Al3O(H2O)2(OH)(BTC)2] (BTC: benzene 1,3,5-tricarboxylate) using a phase inversion method. The influence on the properties of the produced membranes by addition of 5, 10, 20, and 30% MIL-100(Al) (w/w) to the PES was also investigated. Fourier-transform infrared spectroscopy (FTIR) analysis indicated that no chemical interactions occurred between PES and MIL-100(Al). Scanning electron microscope (SEM) images showed agglomeration at PES/MIL-100(Al) 30% (w/w) and that the thickness of the dense layer increased up to 3.70 µm. After the addition of MIL-100(Al) of 30% (w/w), the permeability of the MMMs for CO2, O2, and N2 gases was enhanced by approximately 16, 26, and 14 times, respectively, as compared with a neat PES membrane. The addition of MIL-100(Al) to PES increased the thermal stability of the membranes, reaching 40°C as indicated by thermogravimetry analysis (TGA). An addition of 20% MIL-100(Al) (w/w) increased membrane selectivity for CO2/O2 from 2.67 to 4.49 (approximately 68.5%), and the addition of 10% MIL-100(Al) increased membrane selectivity for CO2/N2 from 1.01 to 2.12 (approximately 110.1%).