Miracle-dz/UniFAR-FTUs huggingface dataset:
Attention: How High-Frequency Trading Improves Price Efficiency Following Earnings Announcements

Recent research indicates that high-frequency trading (HFT) helps incorporate fundamental information into prices, but how this happens is unclear. We examine reduced attention constraints as an important channel through which HFT enhances price efficiency. Using multiple proxies of attention constraints, we find that price inefficiencies are reduced by 65% to 100% when high-frequency traders (HFTs) trade following low-attention earnings announcements: Initial price responses are larger and post-earnings-announcement drift is reduced. Results are not driven by firm size or announcement time-of-day. Our findings highlight how limited attention, a human bias affecting asset prices, is mitigated when machines trade.
Deceptive Communication

In cases of conflict of interest, people can lie directly about payoff relevant private information, or they can evade the truth without lying directly. We analyse this situation theoretically and test the key predictions in an experimental sender-receiver setting. We find senders prefer to deceive through evasion rather than direct lying. This is because they do nοt want to deceive others, and they do nοt want to be seen as deceptive. The specific language of evasion does not matter. The results suggest deception should be tested in more naturalistic contexts with richer language.
An Equilibrium Theory of Nominal Exchange Rates

This paper proposes an equilibrium theory of nominal exchange rates, which offers a new perspective on various issues in open economy macroeconomics. The nominal exchange rate and portfolio choices are jointly determined in equilibrium, thus providing a new approach to overcoming the indeterminacy results in Kareken and Wallace (1981). The distinctive features of this theory are that the nominal exchange rate is determined in international financial markets, that the risk premium and UIP deviations are fully endogenous equilibrium objects and that the real exchange rate inherits its properties from the nominal exchange rate. In terms of policy, this novel theory implies that a country with an exchange rate peg and free asset mobility faces a tetralemma and not a trilemma, because it loses not only monetary policy independence but also fiscal policy independence.
What Drives Variation in the U.S. Debt/Output Ratio? The Dogs that Didn't Bark

If the U.S. is on a fiscally sustainable path, then higher U.S. government debt/output ratios should reliably predict higher future surpluses or lower real returns on Treasurys. We find no evidence for this. Neither future cash flows nor discount rates account for the variation in the current debt/output ratio. Instead, the future debt/output ratio accounts for most of the variation. Systematic surplus forecast errors can account for part of these findings. Since the start of the Great Financial Crisis, surplus projections have anticipated a large fiscal correction that failed to materialize
The Role of Leveraged ETFs and Option Market Imbalances on End-of-Day Price Dynamics

Leveraged ETFs and market makers who are active in option markets must adjust imbalances arising from market movements. Establishing delta-neutrality may cause either return momentum or reversal depending on the sign and size of the imbalance vis-a-vis market prevailing liquidity. We ﬁnd that a large and negative (positive) aggregated gamma imbalance, relative to the average dollar volume, gives rise to an economically and statistically signiﬁcant end-of-day momentum (reversal). We compare this channel to the rebalancing of leveraged ETFs and ﬁnd that the eﬀect generated by leveraged ETFs is economically larger. Consistent with the notion of temporary price pressure, the documented eﬀects quickly revert at the next day’s open. Information-based explanations are unlikely to cause the results, suggesting a non-informational channel through which leveraged ETFs and option markets aﬀect underlying stocks towards the market close.
Estimating income-related and area-based inequalities in mental health among nationally representative adolescents in Australia: The concentration index approach

Despite the awareness of the importance of mental health problems among adolescents in developed countries like Australia, inequality has not been widely researched. This study, is therefore, aimed to measure and compare household income-related and area-based socioeconomic inequalities in mental health problems (bullying victimization, mental disorders–single and multiple, self-harm and suicidality–ideation, plan and attempt) among Australian adolescents aged 12–17 years. Young Minds Matter (YMM)—the 2nd national cross-sectional mental health and well-being survey involving Australian children and adolescents conducted in 2013–14, was used in this study to select data for adolescents aged 12–17 years (n = 2521). Outcome variables included: bullying, mental disorders, self-harm, and suicidal ideation, plan and attempt. The Erreygers’s corrected concentration index (CI) approach was used to measure the socioeconomic inequalities in mental health problems using two separate rank variables–equivalised household income quintiles and area-based Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) quintiles. The prevalence of mental health problems in the previous 12-months among these study participants were: bullying victimization (31.1%, 95% CI: 29%-33%), mental disorder (22.9%, 95% CI: 21%-24%), self-harm (9.1%, 95% CI: 8%-10%), suicidal ideation (8.5%, 95% CI: 7%-10%), suicidal plan (5.9%, 95% CI: 5%-7%) and suicidal attempt (2.8%, 95% CI: 2%-3%). The concentration indices (CIs) were statistically significant for bullying victimization (CI = -0.049, p = 0.020), multiple mental disorders (CI = -0.088, p = <0.001), suicidal ideation (CI = -0.023, p = 0.047) and suicidal attempt (CI = -0.021, p = 0.002), implying pro-poor socioeconomic inequalities based on equivalized household income quintiles. Similar findings revealed when adolescents mental health inequalities calculated on the basis of area based IRSAD (Index of Relative Socio-economic Advantage and Disadvantage) quintiles. Overall, adolescents from economically worse-off families experienced more mental health-related problems compared to those from economically better-off families. This has implications for prevention strategies and government policy in order to promote mental health and provide equitable healthcare facility.
“At-Home” Photobiomodulation: A New Approach for Bell's Palsy Treatment

Objective This report is the first one to describe the possibility to use “self‐administered” photobiomodulation (PBM) for Bell's palsy (BP) treatment. Background BP is a peripheral disorder of the facial nerve causing sudden paralysis of unilateral facial muscles, and PBM has been successfully suggested for its treatment without any side effect. This is the first case report where a laser device was successfully used at home by the patient herself to treat BP opening new perspectives on the therapy of this disease. Methods This report describes the “at-home PBM” treatment performed on a 15-year-old girl who presented BP consisting of acute pain on the right side of her face, difficulty in biting and dripping saliva from the right side of her lips. The treatment was performed twice a day by cutaneous applications, each of 15 minutes (total fluence 48 J/cm2) in an area corresponding to the parotid gland by a device emitting at 808 nm at 250 mW output power. Results Two weeks after PBM treatment, performed at home twice a day by the patient herself without any kind of pharmacological therapy, the complete disappearing of the disease was noticed with no side effects. Conclusion With the limitations due to a single case report and with the need of further clinical trials to confirm it, “at-home PBM” seems to represent a good and safe approach to the treatment of BP.
A Few-Shot Learning-Based Siamese Capsule Network for Intrusion Detection with Imbalanced Training Data

Network intrusion detection remains one of the major challenges in cybersecurity. In recent years, many machine-learning-based methods have been designed to capture the dynamic and complex intrusion patterns to improve the performance of intrusion detection systems. However, two issues, including imbalanced training data and new unknown attacks, still hinder the development of a reliable network intrusion detection system. In this paper, we propose a novel few-shot learning-based Siamese capsule network to tackle the scarcity of abnormal network traffic training data and enhance the detection of unknown attacks. In specific, the well-designed deep learning network excels at capturing dynamic relationships across traffic features. In addition, an unsupervised subtype sampling scheme is seamlessly integrated with the Siamese network to improve the detection of network intrusion attacks under the circumstance of imbalanced training data. Experimental results have demonstrated that the metric learning framework is more suitable to extract subtle and distinctive features to identify both known and unknown attacks after the sampling scheme compared to other supervised learning methods. Compared to the state-of-the-art methods, our proposed method achieves superior performance to effectively detect both types of attacks.
A web-based fuzzy risk predictive-decision model of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery

Supplemental Digital Content is available in the text Abstract Background: Pelvic organ prolapse (POP) and stress urinary incontinence (SUI) are common conditions affecting women's health and quality of life. In 50% of cases, SUI occurs after POP surgery, which is called de novo SUI. Predicting the risk of de novo SUI is a complex multi-attribute decision-making process. The current study made available a Decision Support System in the form of a fuzzy calculator web-based application to help surgeons predict the risk of de novo SUI. Materials and methods: We first identified 12 risk factors and the diagnostic criteria for de novo SUI by means of a systematic review of the literature. Then based upon an expert panel, all risk factors were prioritized. A set of 232 fuzzy rules for the prediction of de novo SUI was determined. A fuzzy expert system was developed using MATLAB software and Mamdani Inference System. The risk prediction model was then evaluated using retrospective data extracted from 30 randomly selected medical records of female patients over the age of 50 without symptoms of urinary incontinence who had undergone POP surgery. Finally, the proposed results of the predictive system were compared with the results of retrospective medical record data review. Results: The results of this online calculator show that the accuracy of this risk prediction model, at more than 90%, compared favorably to other SUI risk prediction models. Conclusions: A fuzzy logic-based clinical Decision Support System in the form of an online calculator for calculating SUI prognosis after POP surgery in women can be helpful in predicting de novo SUI.
Theoretical Performance Evaluation of Inorganic (Non Pd-Based) Membranes for Hydrogen Separation

The aim of this work theoretical study is to theoretically investigate a inorganic membrane assisted purifcation process of an H2-rich stream derived from a conventional methanol steam reforming stage. In particular, a black-box model for multicomponent gas mixture purifcation is developed to evaluate the H2 separation performance of such non-palladium based membranes such as silica, polymeric and carbon membranes, by varying design and processing variables such as stage cut and feed pressure. The most signifcant modeling result is achieved by using a silica membrane based separation module in which 98% of H2 purity and 0.3% of carbon monoxide in the permeate side are reached, operating with a transmembrane pressure of 4.0 bar.
Cold Chain Management by Healthcare Providers at a District in Ghana: A Mixed Methods Study

Background Despite the relevance of cold chain management in maintaining the potency of vaccines, gaps still exist in the ability of healthcare practitioners to maintain the cold chain system effectively. Thus, the current study sought to assess healthcare providers' knowledge, attitudes, practices, and challenges regarding cold chain management. Methods A concurrent mixed methods study was conducted at twelve facilities in the Sekyere Central District of Ghana. Eighty-six (86) participants took part in a survey that assessed their “cold chain management” knowledge and attitudes. Twelve (12) cold chain sites within the district were also observed in respect of their cold chain management practices. Eleven key informants were additionally interviewed to explore their challenges on cold chain management. Quantitative data were analyzed using descriptive (frequencies, percentages, means, standard deviations, ranges) and inferential statistics (Spearman's rho correlation). Qualitative data were inductively analyzed into themes which described participants' challenges on cold chain management. Results Majority of the participants scored ≥70% on knowledge (68.6%) and attitudes (67.4%) toward cold chain management. However, there was a very weak positive and statistically insignificant relationship between participant's knowledge and attitudes toward cold chain management (r = 0.109, p = 0.317). Regarding cold chain management practices, majority of the facilities had their vaccine vial monitors attached to the vaccines (8/12, 66.7%), had functional fridge tags (8/12, 66.7%), and an appropriate refrigerator to store vaccines (7/12, 58.3%). However, the study observed that 91.7% (11/12) of the facilities did not have policies and guidelines on cold chain management while all 12 facilities (100%) did not have a contingency plan in place for equipment. With regards to the cold chain management challenges, participants raised concerns about inadequate personnel, erratic power supply, logistical constraints, and transportation difficulties. Conclusion Although majority of the participants had good knowledge and attitude towards cold chain management, there was a weak association between them. This implies that good knowledge may not necessarily influence good attitudes towards cold chain management and vice versa. The extent to which facilities support cold chain management practices was suboptimal. Participants encountered a number of challenges which prevented them from managing the vaccine cold chain system effectively. We recommend continual professional education for cold chain practitioners, provision of adequate human and material resources for cold chain management, and enhanced monitoring and evaluation of cold chain activities. Future studies should quantitatively measure individual participants' knowledge, attitudes, practices, and challenges on cold chain management so that we can establish the relationships that exist between these components.
The viral nucleocapsid protein and the human RNA-binding protein Mex3A promote translation of the Andes orthohantavirus small mRNA

The capped Small segment mRNA (SmRNA) of the Andes orthohantavirus (ANDV) lacks a poly(A) tail. In this study, we characterize the mechanism driving ANDV-SmRNA translation. Results show that the ANDV-nucleocapsid protein (ANDV-N) promotes in vitro translation from capped mRNAs without replacing eukaryotic initiation factor (eIF) 4G. Using an RNA affinity chromatography approach followed by mass spectrometry, we identify the human RNA chaperone Mex3A (hMex3A) as a SmRNA-3’UTR binding protein. Results show that hMex3A enhances SmRNA translation in a 3’UTR dependent manner, either alone or when co-expressed with the ANDV-N. The ANDV-N and hMex3A proteins do not interact in cells, but both proteins interact with eIF4G. The hMex3A–eIF4G interaction showed to be independent of ANDV-infection or ANDV-N expression. Together, our observations suggest that translation of the ANDV SmRNA is enhanced by a 5’-3’ end interaction, mediated by both viral and cellular proteins.
Efficacy and Prognosis of First-Line EGFR-Tyrosine Kinase Inhibitor Treatment in Older Adults Including Poor Performance Status Patients with EGFR-Mutated Non-Small-Cell Lung Cancer

Introduction Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are standard first-line treatments for advanced EGFR-mutated non-small-cell lung cancer (NSCLC) patients. The efficacy of EGFR-TKIs in older patients including poor Eastern Cooperative Oncology Group (ECOG) performance status (PS) is seldom investigated. Methods We enrolled patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and evaluated the efficacy and prognosis of first-line EGFR-TKI treatment. Clinical and demographic characteristics were reviewed and analyzed, including age, sex, PS, smoking history, EGFR mutation type, treatment regimen, progression-free survival (PFS), and overall survival (OS). Results From January 2015 to December 2019, a total of 237 patients were included, 205 of whom were eligible for efficacy and outcome analyses. Among them, 91 (44.4%) were categorized as poor PS (2–4). Compared with patients categorized as good PS (0–1), those with poor PS were older (79 versus 75 years), had a higher proportion of brain metastases (41.8% versus 25.4%), more comorbidities (74.7% versus 54.4%), and more likely to be treated with first-generation TKIs (74.7% versus 57.0%). The PFS and OS were 17.1 and 26.7 months respectively in patients with good PS and 12.7 and 18.2 months in those with poor PS (both p < 0.001). In the multivariate analysis, good PS, <3 metastatic sites, and first-line treatment with afatinib compared with erlotinib and gefitinib were associated with longer PFS. A relatively younger age, good PS, < 3 metastatic sites, and no brain metastasis at diagnosis were associated with better OS. Conclusion In older patients with EGFR-mutated NSCLC and receive EGFR-TKI treatment, a good PS and <3 metastatic sites at diagnosis were associated with a longer PFS and OS. In addition, afatinib as first-line treatment was associated with a longer PFS whereas a relatively younger age and no brain metastasis at diagnosis were associated with better OS.
Brain-Derived Neurotrophic Factor (BDNF) Depression and Subjective Sleep Quality in the First Trimester of Pregnancy Among Migrant Workers in Thailand

Introduction Brain-derived neurotrophic factor (BDNF) influences neurodevelopment during pregnancy. Maternal sleep quality and depression are suggested to influence BDNF levels. The objective of this study was to assess the association between depression, sleep quality, and BDNF levels among Myanmar migrant pregnancies. Methods A cross-sectional study was conducted at Krathum Baen Hospital, Samut Sakhon province, from June to October 2018. A total of 108 first-trimester women were recruited into our study. Maternal blood was collected to analyze BDNF. Depression levels were assessed using the Patient Health Questionnaire (PHQ-9) instrument. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was applied to evaluate subjective sleep quality. Because BDNF was skewed, binary logistic regression was analyzed. Results We found that 28.7% of pregnant women reported poor sleep quality, and 33.4% were classified as having mild to moderate depression. After adjusting for covariate variables, pregnant women with depression had higher BDNF levels than those without depression (OR = 2.972, 95% CI = [1.111, 7.949], p = 0.030). Pregnant women with poor sleep quality had lower BDNF levels than those who had good sleep quality (OR = 0.359, 95% CI = [0.132, 0.972], p = 0.044). Discussion The results suggested that BDNF might be an alternative tool to assess sleep quality in pregnant women.
Clinical and Pathologic Complete Response to Gefitinib in a Patient with SqCLC Harboring EGFR p.E746_S752delinsV Mutation

Abstract Development of targeted therapies for squamous cell lung cancer (SqCLC) is currently limited by the prevalence of activating mutations and their predicting power of treatment efficacy. In the present study, we describe a case of treatment-naïve stage IIIB SqCLC that harbored a rare epidermal growth factor receptor (EGFR) p.E746_S752delinsV mutation with clinical complete response to neoadjuvant gefitinib. Pathological complete response was confirmed after surgical resection. No disease recurrence was documented after 20-month follow-up. This report suggested that first-generation EGFR tyrosine kinase inhibitor (TKI) could be an option in neoadjuvant context for advanced SqCLC patients harboring EGFR p.E746_S752delinsV mutation and highlighted the clinical benefits of EGFR testing in SqCLC patients who are females and never/former light smokers.
Nanomedicine Strategies to Enhance Tumor Drug Penetration in Pancreatic Cancer

Abstract Pancreatic cancer is one of the most malignant tumors with one of the worst survival rates due to its insidious onset and resistance to therapies. Most therapeutics show a desired anticancer effect in vitro; however, very poor efficacy in vivo because of the limited drug delivery and penetration into pancreatic tumors attributed to the abundance of the tumor stroma, ie, the fibrotic tumor microenvironment surrounding the cancer cells. For a better understanding of the challenges posed by the pancreatic tumor stroma, we outline the key features of the tumor microenvironment. Then we highlight major strategies used to tackle the challenges to improve drug penetration into the tumor and achieve enhanced efficacy (pre)clinically. Furthermore, we describe nanomedicine strategies to modulate the tumor stroma, degrade the extracellular matrix, and co-deliver multi-functional drugs, to improve the chemotherapeutics delivery and penetration into pancreatic tumors.
The Impact of Frailty on Prognosis in Elderly Hemodialysis Patients: A Prospective Cohort Study

Purpose To explore the impact of frailty on adverse outcomes in elderly hemodialysis (HD) patients. Patients and Methods An observational and prospective cohort study was conducted in elderly patients (≥60) with HD, with an average 12-month follow-up. Fried frailty phenotype (FFP) was used to define frailty. Negative binomial regression was used to estimate the impact of frailty on the incidence of emergency visits, hospitalizations, acute cardiovascular events, and falls within a year. Cox regression analysis was used to assess the influence of frailty on all-cause mortality in elderly HD patients. Results Our study enrolled 150 elderly HD patients, and the prevalence of frailty was 34.7%. After adjustment, frailty was independently associated with increased all-cause mortality [hazard ratio (HR)=4.10, 95% CI: 1.09–15.43, p=0.037] and emergency visits [incidence rate ratio (IRR)=2.78 95% CI: 1.70–4.60, p<0.001]. Gait speed was an independent risk factor for all-cause deaths (HR=5.56 95% CI: 1.41–22.00, p=0.014), emergency visits (IRR=2.52 95% CI: 1.48–4.33, p<0.001), and hospitalizations (IRR=2.24, 95% CI: 1.19–4.21, p=0.010) in elderly HD patients. Conclusion Frailty was an independent indicator of all-cause mortality and emergency visits in elderly patients with HD.