Miracle-dz/UniFAR-FTUs huggingface dataset:
Pathological Hypersexuality Induced by Dopamine Replacement Therapy in a Patient with Progressive Supranuclear Palsy

LETTERS lessness, or insomnia. An extensive literature search revealed a prior report of trifluoperazine withdrawal symptoms like craving, irritability, dysphoria, and inability to work. 3 Below, we describe the development of nonpsychotic withdrawal symptoms in a patient after use of trifluoperazine for several years. Case Report A 78-year-old Indian man presented to us with a moderate de-pressive episode for 1 month. He had two previous episodes of depression which occurred 45 and 20 years ago, respectively. Both the episodes fully resolved with treatment , and the patient had no residual depressive symptoms in between the episodes. He also had severe nicotine dependence (smoke-less tobacco) for about 56 years, from which he was abstinent for the previous year. The patient was treated with anti-depressants for his second episode of depression along with trifluoper-azine, 2 mg/day. After 1 month, his depressive symptoms resolved completely, and he stopped taking the antidepressants. However, he continued taking trifluoperazine in the same dose for the next 20 years. He said that if he ever tried to stop this medicine he felt very weak, restless, dysphoric, and had difficulty getting to sleep. But there was never any depressive cognition, guilty feeling, or other characteristic depressive symptoms. On days when he could not take this medicine , he experienced a craving for it. He and his family members felt that this was not normal and he tried to reduce the dose to 1 mg/day. Such attempts failed when he developed the above-mentioned symptoms the next day, which forced him to restart trifluoperazine, 2 mg/day. Symptoms resolved immediately every time thereafter. At times he started taking 3 mg/day, but generally he maintained a dosage of 2 mg/day. We treated the patient with esci-talopram, 20 mg/day, for his depression and clonazepam, 1 mg/ day, for associated sleep problems which developed during this de-pressive episode. With this he showed marked improvement in depressive symptoms. He was, however, still continuing trifluoper-azine and was not motivated to stop it. When we asked him to try abstinence from trifluoperazine, he said he was unable to do away with it. Discussion Our patient fulfilled ICD-10 criteria of a possible trifluoperazine withdrawal syndrome. This is interesting because unlike all other dependence producing substances, trifluoperazine is a dopamine blocking agent and is not expected to stimulate the mesolimbic/mesocort-ical dopaminergic reward circuit. So it might be due to a sensitive reward circuit in our patient, as evi-denced by …
Study of fractions in elementary mathematics textbooks from Finland and Taiwan

Abstract This study examines the different ways in which fractions are dealt with in two elementary mathematics textbook series: Kang Hsuan (KH) in Taiwan and Laskutaito in Finland. The results showed that the total number of fraction questions in Laskutaito is higher than that in KH and that Laskutaito highlights the basic definition of fractions to help children develop higher levels of reasoning. Fraction questions in Laskutaito were presented with a number of pictorial representations to clarify the concepts. Laskutaito includes more symbolic representation of questions. Moreover, the questions posed in the Laskutaito reflect real-life situations, whereas the questions posed in KH do not connect with real life. The implications of this study are discussed and suggestions for future studies are made in this paper.
Mosquitocidal and Oviposition Repellent Activities of the Extracts of Seaweed Bryopsis pennata on Aedes aegypti and Aedes albopictus

The ever-increasing threat from infectious diseases and the development of insecticide resistance in mosquito populations drive the global search for new natural insecticides. The aims of this study were to evaluate the mosquitocidal activity of the extracts of seaweed Bryopsis pennata against dengue vectors Aedes aegypti and Aedes albopictus, and determine the seaweed’s toxic effect on brine shrimp nauplii (as a non-target organism). In addition, the chemical compositions of the active larvicidal extract and fraction were analyzed by using liquid chromatography-mass spectrometry (LC-MS). Chloroform extract exhibited strong ovicidal activity (with LC50 values of 229.3 and 250.5 µg/mL) and larvicidal activity against Ae. aegypti and Ae. albopictus. The larvicidal potential of chloroform extract was further ascertained when its A7 fraction exhibited strong toxic effect against Ae. aegypti (LC50 = 4.7 µg/mL) and Ae. albopictus (LC50 = 5.3 µg/mL). LC-MS analysis of the chloroform extract gave a tentative identification of 13 compounds; Bis-(3-oxoundecyl) tetrasulfide was identified as the major compound in A7 fraction. Methanol extract showed strong repellent effect against female oviposition, along with weak adulticidal activity against mosquito and weak toxicity against brine shrimp nauplii. The mosquitocidal results of B. pennata suggest further investigation for the development of effective insecticide.
Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest

We investigated the capabilities of a canopy height model (CHM) derived from aerial photographs using the Structure from Motion (SfM) approach to estimate aboveground biomass (AGB) in a tropical forest. Aerial photographs and airborne Light Detection and Ranging (LiDAR) data were simultaneously acquired under leaf-on canopy conditions. A 3D point cloud was generated from aerial photographs using the SfM approach and converted to a digital surface model (DSMP). We also created a DSM from airborne LiDAR data (DSML). From each of DSMP and DSML, we constructed digital terrain models (DTM), which are DTMP and DTML, respectively. We created four CHMs, which were calculated from (1) DSMP and DTMP (CHMPP); (2) DSMP and DTML (CHMPL); (3) DSML and DTMP (CHMLP); and (4) DSML and DTML (CHMLL). Then, we estimated AGB using these CHMs. The model using CHMLL yielded the highest accuracy in four CHMs (R2 = 0.94) and was comparable to the model using CHMPL (R2 = 0.93). The model using CHMPP yielded the lowest accuracy (R2 = 0.79). In conclusion, AGB can be estimated from CHM derived from aerial photographs using the SfM approach in the tropics. However, to accurately estimate AGB, we need a more accurate DTM than the DTM derived from aerial photographs using the SfM approach.
Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa

Abstract. Distributed hydrological models like SWAT (Soil and Water Assessment Tool) are often highly over-parameterized, making parameter specification and parameter estimation inevitable steps in model calibration. Manual calibration is almost infeasible due to the complexity of large-scale models with many objectives. Therefore we used a multi-site semi-automated inverse modelling routine (SUFI-2) for calibration and uncertainty analysis. Nevertheless, the question of when a model is sufficiently calibrated remains open, and requires a project dependent definition. Due to the non-uniqueness of effective parameter sets, parameter calibration and prediction uncertainty of a model are intimately related. We address some calibration and uncertainty issues using SWAT to model a four million km2 area in West Africa, including mainly the basins of the river Niger, Volta and Senegal. This model is a case study in a larger project with the goal of quantifying the amount of global country-based available freshwater. Annual and monthly simulations with the "calibrated" model for West Africa show promising results in respect of the freshwater quantification but also point out the importance of evaluating the conceptual model uncertainty as well as the parameter uncertainty.
Clinical Predictors for Migraine in Patients Presenting With Nausea and/or Vomiting

Background/Aims Many migraine patients develop nausea and/or vomiting (N/V) and are referred to gastroenterologists. This can lead to an inappropriate treatment and a delay of the correct diagnosis. We therefore aimed to identify predictors for migraine in patients presenting with N/V as well as headache. Methods A total of 407 patients who were first diagnosed with migraine at Samsung Medical Center, Seoul, Korea, in 2009 were analyzed. Among them, 261 patients had N/V (migraine with N/V group) and 146 did not (migraine without N/V group). Each patient was evaluated using a structured questionnaire. Results Migraine with N/V group was younger, comprised of more females, had more abnormal body mass index, less alcohol intake, more family history of migraine, higher attack severity, more stress association, more aggravation by physical activity, more abdominal pain, and more photophobia/phonophobia than migraine without N/V group. Multivariate analysis revealed that young age (age < 40 years vs. ≥ 40 years, odds ratio (OR), 2.128; 95% confidence interval (CI), 1.206-3.756; P = 0.009), female (OR, 2.703; 95% CI, 1.492-4.896; P = 0.001), family history of migraine (OR, 2.080; 95% CI, 1.169-3.700; P = 0.013), abdominal pain (OR, 4.452; 95% CI, 1.263-15.693; P = 0.020), and photophobia/phonophobia (OR, 2.296; 95% CI, 1.308-4.030; P = 0.004) were independent predictive factors associated with migraine in patients with N/V. Conclusions Because young age, female, family history of migraine, abdominal pain, and photophobia/phonophobia are associated with migraine in patients presenting with N/V as well as headache, physicians should have a high index of suspicion for migraine in N/V patients who belong to these categories.
The Association Between Attachment and Physiological Responses to Relational Aggression during Emerging Adulthood

Relational aggression is a covert form of aggression that, without intervention, can impact an individual’s social well-being in a detrimental way. Women are at an increased risk for the detrimental outcomes of relational aggression, such as depression, disordered eating, as well as other social and emotional maladjustments. The current study focuses on three predictors of relational aggression during emerging adulthood: attachment, parenting style and psychological control, as well as self-esteem. Prior studies have looked at each of these predictors and their effects on relational aggression in childhood. However, no studies have looked at the relationship between attachment, parenting style and psychological control, as well as self-esteem on not only predicting relational aggression in emerging adulthood, but assessing each predictor’s relationship with physiological responses to relational aggression. This study included 90 female college students (mean age = 19.74) who completed questionnaires online measuring the above variables. Additionally, participants came for an in laboratory session where they watched videos and participated in an interview. I found that individuals who reported high attachment anxiety had decreased reactivity upon exposure to relational aggression and were more likely to engage in relational aggression; those who reported high firm control had decreased reactivity when describing a social stressor. Individuals who reported high maternal autonomy had increased reactivity to upon exposure to relational aggression and were less likely to engage in both types of relational aggression. Furthermore, those with stable, high self-esteem were less likely to engage in both types of relational aggression.
Learning Styles and the Hybrid Learning: An Empirical Study about the Impact of Learning Styles on the Perception of the Hybrid Learning

Abstract Learning style is a crucial element in the academic life of students. It plays a fundamental role in the selection of a suitable teaching method of instruction. The aim of this research paper is the study of the perception of the hybrid learning and students’ learning style. In addition, another objective of the study is to analyze the perception of the hybrid learning in accordance with the learning style. This paper employs quantitative research and the descriptive and comparative methods. The study sample consists of 89 Albanian university students. Data analysis was conducted through SPSS 20 and JASP-0.8. 1.2. The statistical analyses utilized in this paper are distribution tables, crossed tabulation, student test, Pearson correlation coefficient, Bayesian Independent Samples T-Test, and One - Way ANOVA. The conclusion of the data analysis shows that most students used the visual learning style in order to study. Students have a positive perception of the hybrid learning. There exists an insignificant statistical correlation between learning styles and the perception of the hybrid learning. The area of study has an impact on the components of the hybrid learning.
GFR-estimating models in kidney transplant recipients on a steroid-free regimen.

BACKGROUND How to best estimate glomerular filtration rate (GFR) in kidney transplant recipients on steroid-free immunosuppression has not been established. METHODS Within 3 months of transplantation, iothalamate GFR (iGFR) was measured in 107 recipients on steroid-free and 27 on steroid-maintenance immunosuppression. A year later, a second GFR was performed. Serum creatinine was calibrated against a reference laboratory, and GFR was estimated (eGFR) using the re-expressed Cockcroft-Gault equation, eGFRCG; the Mayo Clinic equation, eGFRMC; the Modification of Diet in Renal Disease (MDRD) study equation, eGFRMDRD; and the newly introduced Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. RESULTS All models overestimated GFR regardless of steroid use or timing of GFR. In those not receiving steroids, eGFRCG was least biased: 1.85 +/- 15.2 ml/min at the first GFR and 0.23 +/- 15.2 ml/min at the second. eGFRMC and eGFRCKD-EPI were most biased and were within 30% of iGFR less than 60% of the time in contrast to eGFRCG which was within 30% of iGFR 80.2% of the time. eGFRMDRD was intermediate in its performance at the first GFR but was comparable to eGFRCG at the second measurement. Importantly, the four models had comparable but poor precision. Exposure to steroids for a whole year did not appreciably alter the models' bias or relative accuracy but resulted in a dramatic fall in their precision, R2 = 0.05-0.12. CONCLUSIONS GFR prediction equations overestimate measured GFR in recipients on and off steroid regimens. Long-term exposure to steroids results in a marked reduction in the precision of all models. In all, eGFRCG and eGFRMDRD are the two best available models.
Assessment of Driving Mental Models as a Predictor of Crashes and Moving Violations

Assessment of Driving Mental Models as a Predictor of Crashes and Moving Violations. (May 2011) Gonzalo Javier Muñoz Gálvez, B. S. , Pontificia Universidad Católica de Chile Chair of Advisory Committee: Dr. Winfred Arthur, Jr. The purpose of the current study was to assess the efficacy of mental models as a predictor of driving outcomes. In contrast to more traditional measures of knowledge, mental models capture the configural property of knowledge, that is, an individual’s understanding of the interrelationships that exist among critical concepts within a particular knowledge domain. Given that research has consistently shown the usefulness of mental models for the prediction of performance in a number of settings, it was hypothesized that the development of accurate driving mental models would also play an important role in the prediction of driving outcomes, especially in comparison to traditional measures of driving knowledge—such as the multiple-choice type tests typically required to obtain a driver license. Mental models of 130 college students (52% females) between 17 and 21 yearsold (M = 18.68, SD = 0.80) were analyzed and compared to a subject matter expert (SME) referent structure using Pathfinder. A statistically significant correlation was found for mental model accuracy and moving violations (r = –.18, p <.05), but not for at-
Exploration and Exploitation Alliances in Biotechnology: A System of New Product Development

We link the exploration-exploitation framework of organizational learning to a technology venture's strategic alliances and argue that the causal relationship between the venture's alliances and its new product development depends on the type of the alliance. In particular, we propose a product development path beginning with exploration alliances predicting products in development, which in turn predict exploitation alliances, and that concludes with exploitation alliances leading to products on the market. Moreover, we argue that this integrated product development path is moderated negatively by firm size. As a technology venture grows, it tends to withdraw from this product development path to discover, develop, and commercialize promising projects through vertical integration. We test our model on a sample of 325 biotechnology firms that entered 2,565 alliances over a twenty-five year period. We find broad support for the hypothesized product development system and the moderating effect of firm size.
The RNA recognition motif of NIFK is required for rRNA maturation during cell cycle progression

Ribosome biogenesis governs protein synthesis. NIFK is transactivated by c-Myc, the key regulator of ribosome biogenesis. The biological function of human NIFK is not well established, except that it has been shown to interact with Ki67 and NPM1. Here we report that NIFK is required for cell cycle progression and participates in the ribosome biogenesis via its RNA recognition motif (RRM). We show that silencing of NIFK inhibits cell proliferation through a reversible p53-dependent G1 arrest, possibly by induction of the RPL5/RPL11-mediated nucleolar stress. Mechanistically it is the consequence of impaired maturation of 28S and 5.8S rRNA resulting from inefficient cleavage of internal transcribed spacer (ITS) 1, a critical step in the separation of pre-ribosome to small and large subunits. Complementation of NIFK silencing by mutants shows that RNA-binding ability of RRM is essential for the pre-rRNA processing and G1 progression. More specifically, we validate that the RRM of NIFK preferentially binds to the 5′-region of ITS2 rRNA likely in both sequence specific and secondary structure dependent manners. Our results show how NIFK is involved in cell cycle progression through RRM-dependent pre-rRNA maturation, which could enhance our understanding of the function of NIFK in cell proliferation, and potentially also cancer and ribosomopathies.
Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique

Visual tracking is a fundamental key to the recognition and analysis of human behavior. This paper presents an approach to track several humans from video sequences acquired in real time. It addresses the key concerns of real time performance and continuity of tracking in overlapping and non-overlapping fields of view. It represents the human body by a parametric ellipsoid in a 3D world. The elliptical boundary can be projected rapidly, several hundred times per frame, onto any image for comparison with image data within likelihood mode. This is implemented by using SIR-Particle filter for tracking multiple humans. Adding variables to encode visibility and persistence into the state vector, it tackles the problem of distraction and short period occlusion. The accuracy of the algorithm is evaluated using the metric, Multiple Object Tracking Accuracy (MOTA) and found that the accuracy was increased up to 90%, when tested with the benchmark dataset.
Fuzzy Multi-criteria Group Decision Support in Long-term Options of Belgian Energy Policy

Decision making requires multiple perspectives of different people as one single decision maker may have not enough knowledge to well solve a problem alone. This is particularly true when the decision environment becomes more complex. More organizational decisions are made now in groups than ever before. Group decision making is thus a process of arriving at a judgment or a solution for a decision problem based on the input and feedback of multiple individuals. At the same time in practice, multi-criteria problems at tactical and strategic levels often involve fuzziness in their criteria and decision makers' judgments. Relevant alternatives are evaluated according to a number of criteria. Fuzzy logic based multi-criteria group decision support is justified to analysis long-term options for Belgian energy policy in this paper.
High-Resolution Wind Fields within the Inner Core and Eye of a Mature Tropical Cyclone from GOES 1-min Images

Abstract Mesoscale wind fields have been determined for a mature hurricane with high spatial and temporal resolution, continuity, and coherency. These wind fields, near the tropopause in the inner core and at low levels inside the eye, allow the evolution of mesoscale storm features to be observed. Previously, satellite-derived winds near hurricanes have been determined only at some distance from the eye over a typical time period of 1–2 h. Hurricane reconnaissance aircraft take 30 min to 1 h to complete an inner-core pattern. With the long observation periods of these previous methods, steady-state conditions must be assumed to give a complete description of the observed region. With the advent of 1-min interval imagery, and fourfold improvement of image dynamic range from NOAA's current generation of GOES satellites, there is a new capability to measure inner-core tropical cyclone wind fields near the tropopause and within the eye, enabling mesoscale dynamical processes to be inferred. These measurement.
Productive Efficiency and Heterogeneity of Health Care Systems: Results of a Measurement for OECD Countries

Health system efficiency is a major target of health policy but its conceptualization and measurement are still a problem in health economics. Because health status is influenced by many factors outside the health system, I argue that measurements of health system efficiency should focus on the process of turning financial input into additional health output rather than the levels of health status reached. When analyzing levels of health status using regression methods, the appropriate efficiency indicator is hence not a country-specific intercept based on the achieved health status, but a coun- try-specific slope for input factors in the production function of health outcomes. The slopes represent health system effi- ciency, while the intercepts represent health relevant heterogeneity among countries. Using data on OECD members these slopes are estimated. Countries differ far more in their residual heterogeneity than in the rate by which their health system turns money into life years.