Miracle-dz/UniFAR-FTUs huggingface dataset:
Experiments on behaviour and decision making in health

Research in judgment and decision-making has identified numerous ways in which human decisions are likely to be biased, deviating systematically from the behaviour one would expect if humans were fully rational ‘Econs’, maximizing their utility with perfect self-control. Suboptimal decision-making as a result of these biases imposes large costs on individuals and society. In this thesis I investigate experimentally how decision-making can be improved, focusing on the health domain, where errors ultimately become a matter of life and death. Chapter 1: Providing feedback has been shown to be an effective way to change behaviour across several domains, including energy use and the workplace. However, there is little evidence on the effect of providing feedback in high stakes environments, where people make risky decisions with potentially catastrophic losses. In the first chapter I conduct a field experiment that provides feedback and information in such a context emergency healthcare. Understanding the drivers of patients’ decisionmaking relating to their demand for healthcare services and how they can be directed to the most appropriate services at any given time is a challenge for health systems across many countries. This trial aimed to reduce avoidable Emergency Department (A&E) attendances by sending a personal feedback letter to people who recently attended an Emergency Department but whose health concerns could have been dealt with elsewhere. Patients were randomly allocated to either receive a follow-up letter with information on alternatives to A&E or no letter (usual care). Overall, I do not find a statistically significant difference between the re-attendance rates of patients who did and did not receive the letters. However, the effect of the intervention interacted significantly with patient age, especially in men. I develop a conceptual framework that explores possible explanations for these heterogeneous effects. Chapter 2: Policy interventions drawing on insights from behavioural sciences are increasingly popular and have been successfully applied across a number of different policy areas. However, little attention has been paid to the extent to which the effects of repeated behavioural interventions are sustained over time. In the second chapter I study this question through a natural field experiment in the English National Health Service (NHS). The intervention consists of changing the salience of waiting time on the clinicians’ e-Referral Service (ERS) interface. Waiting longer can negatively affect patients’ health gains from receiving treatment, so referring patients to services with shorter waiting times can be of benefit. I find, through a stepped wedge trial, that putting a simple alert against services with high waiting times leads to a 35 percent reduction in the share of referrals to these services. The effect of the intervention is sustained over time and does not vary with prior referral habits. A small, low-cost intervention increasing the salience of waiting time to clinicians has a powerful and
Protein tyrosine kinase pathway-derived ROS/NO productions contribute to G2/M cell cycle arrest in evodiamine-treated human cervix carcinoma HeLa cells

Abstract A previous study indicated that reactive oxygen species (ROS) and nitric oxide (NO) played pivotal roles in mediating cytotoxicity of evodiamine in human cervix carcinoma HeLa cells. This study suggested that G2/M cell cycle arrest was triggered by ROS/NO productions with regulations of p53, p21, cell division cycle 25C (Cdc25C), Cdc2 and cyclin B1, which were able to be prevented by protein tyrosine kinase (PTK) activity inhibitor genistein or JNK inhibitor SP600125. The decreased JNK phosphorylation by addition of Ras or Raf inhibitor, as well as the increased cell viability by addition of insulin-like growth factor-1 receptor (IGF-1R), Ras, Raf or c-Jun N-terminal kinase (JNK) inhibitor, further demonstrated that the Ras-Raf-JNK pathway was responsible for this PTK-mediated signalling. These observations provide a distinct look at PTK pathway for its suppressive effect on G2/M transition by inductions of ROS/NO generations.
A Growing Disparity in Earnings Disclosure Mechanisms: The Rise of Concurrently Released Earnings Announcements and 10-Ks

We document a growing disparity in earnings disclosure mechanisms. Firms are increasingly disclosing earnings announcements (EA) concurrently with the 10-K filing instead of first issuing a ‘stand-alone’ EA. Firm adoption of concurrent EA/10-Ks is associated with lower investor sophistication, greater impediments to producing timely and reliable earnings information, and greater industry-level concurrent reporting. Concurrent EA/10-Ks differ from stand-alone EAs in that investors anticipate more information in the EA, disclosures are preempted by industry peer EAs, the market reaction is muted even when controlling for EA timing, and post-earnings-announcement drift is greater.
Resonant Gate Driver for a Normally ON GaN HEMT

Wide bandgap semiconductors such as silicon carbide and gallium nitride (GaN) are promising materials for next-generation power devices. A normally ON GaN-based high-electron-mobility transistor (GaN HEMT) is fabricated for power electronic converters. However, the power consumption in the previously proposed gate drive circuit increases when the GaN HEMT is used for higher frequency operations; a new gate drive circuit with a lower power consumption for the normally ON GaN HEMT is essential. In this paper, a new resonant gate drive circuit, most suitable for the GaN HEMT we had fabricated, is proposed. The validity and the considerable practicability of the proposed resonant gate drive circuit are demonstrated by the experimental results.
Hapten design and development of an ELISA (Enzyme-linked Immunosorbent Assay) for the detection of the mercapturic acid conjugates of naphthalene

Measurement of urinary metabolites constitutes a noninvasive method to assess toxic exposure. Naphthalene is a common environmental contaminant showing selective pulmonary toxicity in mice and presumably is involved in development of lung disease in man (Buckpitt, A.K.; Franklin, K.B. Pharmacol. Ther. 1989, 41, 339). A glutathione-based detoxification pathway leads to the formation of the mercapturic acid conjugates [NaphMA 1, (R)-N-acetyl-S-[(1R * ,2R * )-1,2-dihydro-1-hydroxy-2-naphthyl]cysteine and (R)-N-acetyl-S-[(1R * ,2R * )-1,2-dihydro-2-hydroxy-1-naphthyl]cysteine] which are excreted in urine. Herein we report the development of an immunoasay for the specific detection of urinary metabolites.
Sparse emission pattern in spectral blood Doppler

Spectral Doppler ultrasound imaging allows quantification of blood flow by estimating the velocity distribution of the blood within a range gate on a single image line. In applications, it is desirable to have both brightness mode (B-mode) at high frame rate, to allow the medical doctor to visualize and follow vessel movement, as well as Doppler mode with high spectral resolution of the velocity distribution, so that changes in blood flow can be tracked. In this paper, we propose a slow-time sparse emission pattern of the blood Doppler signal which significantly reduces the number of transmissions sent. For the proposed sampling scheme, we derive the minimal number of Doppler emissions allowing reconstruction of the signal's power spectrum and provide power spectrum recovery techniques that achieve this minimal rate. Using realistic Field II simulations, we show that accurate estimation of blood velocity spectrum can be performed from only 12% of the transmissions required in conventional scanning. Thus, several vessel regions may be investigated while keeping a high frame rate of the B-mode images.
Malware Detection by Analysing Network Traffic with Neural Networks

In order to evade network-traffic analysis, an increasing proportion of malware uses the encrypted HTTPS protocol. We study the problem of detecting malware on client computers based on HTTPS traffic analysis. Here, malware has to be detected based on the host address, timestamps, and data volume information of aggregated packets that are sent and received by all the applications on the client. We develop a scalable protocol that allows us to collect network flows of known malicious and benign applications as training data and derive a malware-detection method based on a neural language model and a long short-term memory (LSTM) network. We study the method's ability to detect new malware in a large-scale empirical study.
Gesture recognition with a low power FMCW radar and a deep convolutional neural network

Gesture recognition with radar enables remote control of consumer devices such as audio equipment, television sets and gaming consoles. In this paper, experimental results of hand gesture recognition with a low power FMCW radar and a deep convolutional neural network (CNN) are presented. The FMCW radar operates in the 24 GHz ISM frequency band and has an effective isotropic radiated power level of 0 dBm. Since low power consumption is a key aspect for application in consumer devices, the FMCW radar has only one receive channel which is different from other FMCW radars with multiple receive channels that have been described in literature. The recognition of gestures is performed with a deep convolutional neural network that is trained and tested with micro-Doppler spectrograms yielding excellent recognition performance in a simple test case consisting of 3 different gestures. A comparison of the training and test results for an amplitude spectrogram and a complex-valued spectrogram as the CNN input shows that in this test case there is no major benefit of using the phase information in the spectrogram.
Mechanical signaling coordinates the embryonic heartbeat

Significance There is a mounting body of evidence that physical forces induce biochemical changes. Here, we suggest that the early embryonic heart provides a striking illustration of the importance of mechanics in living matter. Whereas adult hearts use electrical signaling to coordinate the heartbeat, we propose that embryonic hearts use mechanical signaling. We model the embryonic heart as mechanically excitable tissue, with cardiac myocytes that are triggered to contract under strain. Such contractions exert strains on nearby cells and induce further contraction, thus propagating the signal through the heart. This simple model captures key features observed in the heartbeat of stiffness-modified embryonic hearts that cannot be explained by standard electrochemical signaling and yields predictions that we confirm with experiments. In the beating heart, cardiac myocytes (CMs) contract in a coordinated fashion, generating contractile wave fronts that propagate through the heart with each beat. Coordinating this wave front requires fast and robust signaling mechanisms between CMs. The primary signaling mechanism has long been identified as electrical: gap junctions conduct ions between CMs, triggering membrane depolarization, intracellular calcium release, and actomyosin contraction. In contrast, we propose here that, in the early embryonic heart tube, the signaling mechanism coordinating beats is mechanical rather than electrical. We present a simple biophysical model in which CMs are mechanically excitable inclusions embedded within the extracellular matrix (ECM), modeled as an elastic-fluid biphasic material. Our model predicts strong stiffness dependence in both the heartbeat velocity and strain in isolated hearts, as well as the strain for a hydrogel-cultured CM, in quantitative agreement with recent experiments. We challenge our model with experiments disrupting electrical conduction by perfusing intact adult and embryonic hearts with a gap junction blocker, β-glycyrrhetinic acid (BGA). We find this treatment causes rapid failure in adult hearts but not embryonic hearts—consistent with our hypothesis. Last, our model predicts a minimum matrix stiffness necessary to propagate a mechanically coordinated wave front. The predicted value is in accord with our stiffness measurements at the onset of beating, suggesting that mechanical signaling may initiate the very first heartbeats.
Tumor gene expression data classification via sample expansion-based deep learning

Since tumor is seriously harmful to human health, effective diagnosis measures are in urgent need for tumor therapy. Early detection of tumor is particularly important for better treatment of patients. A notable issue is how to effectively discriminate tumor samples from normal ones. Many classification methods, such as Support Vector Machines (SVMs), have been proposed for tumor classification. Recently, deep learning has achieved satisfactory performance in the classification task of many areas. However, the application of deep learning is rare in tumor classification due to insufficient training samples of gene expression data. In this paper, a Sample Expansion method is proposed to address the problem. Inspired by the idea of Denoising Autoencoder (DAE), a large number of samples are obtained by randomly cleaning partially corrupted input many times. The expanded samples can not only maintain the merits of corrupted data in DAE but also deal with the problem of insufficient training samples of gene expression data to a certain extent. Since Stacked Autoencoder (SAE) and Convolutional Neural Network (CNN) models show excellent performance in classification task, the applicability of SAE and 1-dimensional CNN (1DCNN) on gene expression data is analyzed. Finally, two deep learning models, Sample Expansion-Based SAE (SESAE) and Sample Expansion-Based 1DCNN (SE1DCNN), are designed to carry out tumor gene expression data classification by using the expanded samples. Experimental studies indicate that SESAE and SE1DCNN are very effective in tumor classification.
Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data

To better guide the sustainable developing of freight transport aligning with environmental objectives it is of strategic importance to capture freight transportation characteristics more realistically. This paper characterizes freight transportation by using a complex network approach from multidimensional perspectives based on freight vehicle trips data. We first build two subnetworks from prefecture-level city-scale and county-level city-scale. Subsequently, network analysis indices based on complex network theory were applied to examine the topological structure and complexity of the freight transportation networks. Furthermore, the community detection method is introduced to reveal the networks’ clustering characteristics. The findings show that the prefecture-level city-scale network and the county-level city-scale network both have obvious small-world network characteristics, but the prefecture-level city-scale network has higher operating efficiency for goods movement. Additionally, the influence of the cross-border effect on the freight transportation network was verified. In terms of the community structure, the freight network shows distinct clustering features only at the county-level city-scale.
Functional Sieve Element Protoplasts1[OA]

Sieve element (SE) protoplasts were liberated by exposing excised phloem strands of Vicia faba to cell wall-degrading enzyme mixtures. Two types of SE protoplasts were found: simple protoplasts with forisome inclusions and composite twin protoplasts—two protoplasts intermitted by a sieve plate—of which one protoplast often includes a forisome. Forisomes are giant protein inclusions of SEs in Fabaceae. Membrane integrity of SE protoplasts was tested by application of CFDA, which was sequestered in the form of carboxyfluorescein. Further evidence for membrane intactness was provided by swelling of SE protoplasts and forisome dispersion in reaction to abrupt lowering of medium osmolarity. The absence of cell wall remnants as demonstrated by negative Calcofluor White staining allowed patch-clamp studies. At negative membrane voltages, the current-voltage relations of the SE protoplasts were dominated by a weak inward-rectifying potassium channel that was active at physiological membrane voltages of the SE plasma membrane. This channel had electrical properties that are reminiscent of those of the AKT2/3 channel family, localized in phloem cells of Arabidopsis (Arabidopsis thaliana). All in all, SE protoplasts promise to be a powerful tool in studying the membrane biology of SEs with inherent implications for the understanding of long-distance transport and signaling.
Anti-dsDNA, anti-nucleosome and anti-C1q antibodies as disease activity markers in patients with systemic lupus erythematosus.

INTRODUCTION In spite of the growing number of reports on the study of anti-nucleosome and anti-C1q antibodies, there are still controversies on their significance as disease activity markers in patients with systemic lupus erythematosus (SLE) and their use in everyday clinical practice. OBJECTIVE Our aim was to assess the presence of anti-dsDNA, anti-nucleosome and anti-C1q antibodies in SLE patients, as well as to establish their sensitivity, specificity, positive and negative predictive value, and their correlation with SLE and lupus nephritis clinical activity. METHODS The study enrolled 85 patients aged 45.3 +/- 9.7 years on the average, with SLE of average duration 10.37 +/- 7.99 years, hospitalized at the Institute,,Niska Banja" during 2011, and 30 healthy individuals as controls. Disease activity was assessed using Systemic Lupus Erythematosus Disease Activity Index (SLEDAI). In all examinees the levels of anti-dsDNA, anti-nucleosome and anti-C1q antibodies were measured using the ELISA method with Alegria Test Strips Orgentec (Germany). RESULTS Patients with active lupus nephritis had a higher presence of anti-C1q antibodies and higher co-positivity of anti-dsDNA, anti-nucleosome, and anti-C1q antibodies compared to those with inactive lupus nephritis (77.77% vs. 21.74%; p < 0.01). SLE patients with SLEDAI > or = 11 had a higher presence of antinucleosome (93.75% vs. 64.15%; p < 0.01) and anti-C1q antibodies (46.87% vs. 22.64%; p<0.05), as well as a higher mean level of anti-nucleosome antibodies (107.79 +/- 83.46 U/ml vs. 57.81 +/- 63.15 U/ml; p < 0.05), compared to those with SLEDAI of 0-10. There was a positive correlation between the SLEDAI and the level of anti-dsDNA (r=0.290; p<0.01), anti-nucleosome (r = 0.443; p < 0.001), and anti-C1q antibodies (r = 0.382; p < 0.001). Only anti-C1q antibodies demonstrated correlation with proteinuria (r = 0.445; p < 0.001). CONCLUSION Anti-nucleosome and anti-C1q antibodies demonstrated association with SLE and lupus nephritis activity, suggesting their potential usefulness in making predictions about lupus nephritis and assessment of disease activity.
Effect of verapamil on baroreflex sensitivity and on cardiovascular variability.

OBJECTIVE Epidemiological evidence indicates that depressed baroreflex sensitivity and heart rate variability are associated with reduced survival secondary to coronary heart disease as well as with an increased risk of developing coronary heart disease. In view of the conflicting data in the literature concerning the effect of calcium channel antagonists on autonomic balance, we evaluated the effect of verapamil on heart rate and blood pressure variability, and on baroreflex sensitivity. METHODS Baroreflex sensitivity was studied in 11 rabbits (27 series) under slight sedation induced by pentobarbital infusion (5 mg/kg/hour), both with a steady-state method using phenylephrine-induced blood pressure ramps, and by spectral analysis estimating the transfer function from mean arterial blood pressure to heart rate. Mean arterial blood pressure in the femoral artery, heart rate, and a microphotoelectric plethysmogram of the capillary network of rabbit's ears were simultaneously recorded during the entire experiment. Baroreflex sensitivity was measured before and after 30 min of verapamil infusion (20 micrograms/kg/min). RESULTS Verapamil-reduced baroreflex sensitivity measured by steady-state (2.6 +/- 0.2-1.7 +/- 0.2 beats/min/mmHg, mean +/- SEM) and transfer function methods (19.0 +/- 3.1-5.3 +/- 0.9; control vs. verapamil infusion, p < 0.001), and increased cardiovascular variability as estimated both by standard deviation in mean arterial blood pressure (2.0 +/- 0.1-4.0 +/- 0.4 mm Hg) and standard deviation in heart rate (6.5 +/- 1.0-9.8 +/- 1.1 bpm; p < 0.05). Verapamil increased heart rate (+3%; p < 0.05), reduced systemic mean arterial blood pressure (-12%; p < 0.05), and mean arterial blood pressure swings induced by increasing doses of phenylephrine bolus injections (-6% to -15%; p < 0.05). The reduction was larger for larger blood pressure ramps and exceeded the systemic arterial pressure reduction induced by verapamil infusion. A nonsignificant trend towards an increase in microcirculation was observed. CONCLUSIONS Besides the direct cardiodepressant and vasodilatatory action of verapamil, its suppressive effect on baroreflex sensitivity should be taken into account, since this sensitivity might contribute to an increased risk of cardiac morbidity and mortality.
Molecular Mechanism That Induces Activation of Spätzle, the Ligand for the Drosophila Toll Receptor

The Drosophila Toll receptor is activated by an endogenous cytokine ligand Spätzle. Active ligand is generated in response to positional cues in embryonic dorso-ventral patterning and microbial pathogens in the insect immune response. Spätzle is secreted as a pro-protein and is processed into an active form by the serine endoproteases Easter and Spätzle-processing enzyme during dorso-ventral patterning and infection, respectively. Here, we provide evidence for the molecular mechanism of this activation process. We show that the Spätzle prodomain masks a predominantly hydrophobic region of Spätzle and that proteolysis causes a conformational change that exposes determinants that are critical for binding to the Toll receptor. We also gather that a conserved sequence motif in the prodomain presents features of an amphipathic helix likely to bind a hydrophobic cleft in Spätzle thereby occluding the putative Toll binding region. This mechanism of activation has a striking similarity to that of coagulogen, a clotting factor of the horseshoe crab, an invertebrate that has changed little in 400 million years. Taken together, our findings demonstrate that an ancient passive defense system has been adapted during evolution and converted for use in a critical pathway of innate immune signaling and embryonic morphogenesis.
Mortgage Debt, Hand-to-Mouth Households, and Monetary Policy Transmission

Using a representative sample of credit card holders from a Chinese commercial bank with a 10% credit card market share, we investigate how consumers respond to an unexpected interest rate decrease that automatically reduces interest expenses for all mortgagors in the country and thereby generates significant positive disposable-income shocks. Our difference-in-differences analysis shows that compared with homeowners without mortgage obligations, mortgagors increased their monthly credit card spending by 7.2% after the 230bps mortgage rate reduction announced in September 2008. We find a significant spending response both immediately after the announcement and during the post-reset period. The credit card delinquency rate also decreased after the mortgage rate reset. Subsequent to an interest-rate-increase episode, mortgagors symmetrically reduced their credit card spending. Hand-to-mouth consumers experienced a pronounced spending increase, even among those with a high credit limit, and their response was concentrated in the post-reset period. The debt-service channel plays an important role in transmitting monetary policy—our estimate implies a marginal propensity to consume (MPC) of 0.40-0.51 through credit card spending.