Miracle-dz/UniFAR-FTUs huggingface dataset:
Regional Variations in Walking for Different Purposes

Where people are located can influence behavioral choices and health outcomes through the effects of place on health. Walking is the most commonly reported form of nonoccupational and nonhousehold physical activity for adults. It is a behavior of particular interest to those in the transportation, urban planning, and public health fields. Researchers have examined patterns of walking from both an individual perspective (psychological and social factors) and from a broader community focus (location and built environment factors). The majority of studies have examined walking in the context of urban environments. Variations within regions (urban, periurban, and rural, for example) in walking have not been previously described. We use data from a regionally based quality of life survey to examine subregional variations in walking for particular purposes. Both the social and contextual variations that may underlie these differences are considered. This is useful in helping identify particular factors that may be further investigated in disaggregated analyses using GIS methods to identify specific differences in objective attributes between subregions that may influence peoples' choices to walk, such as walking infrastructure and the availability of destinations.
Antibacterial Activity of Skin and Intestinal Mucus of Five Different Freshwater Fish Species Viz.,

In the present investigation, efforts have were made to investigate out the antibacterial activity of skin mucus and intestinal mucus of five different Channa sp viz; Channa striatus, C. micropeltes, C. marulius, C. punctatus and C. gachua. The mucus collected were tested against five pathogenic bacteria namely Aeromonas hydrophila, Pseudomonas aeruginosa, Escherichia coli, Vibrio fischeri and V. anguillarum using Muller Hinton agar plates by using disc diffusion method. All the five Channa sp showed a better antibacterial activity and among the five species C. striatus showed a broad spectrum of antibacterial activity of skin mucus against A. hydrophila (19.5 ± 2mm). P. aeruginosa (28 ± 2.9mm) and V. anguillarum (24.5 ± 2.4mm) and intestinal mucus against A. hydrophila (16 ± 1.4mm), P. aeruginosa (29 ± 3.2mm), V. anguillarum (18.3 ± 1.5mm) and V. fischeri (21.5 ± 1.8). Among the five pathogens tested the maximum antibacterial activity was observed for the skin mucus against V. fischeri and the intestinal mucus against P. aeruginosa. (
lncRNA Mirt2 Is Downregulated in Ulcerative Colitis and Regulates IL-22 Expression and Apoptosis in Colonic Epithelial Cells

lncRNA Mirt2 is a lipopolysaccharide- (LPS-) inducible inflammation inhibitor. We found that Mirt2 was downregulated in plasma of ulcerative colitis (UC) patients and the downregulation of Mirt2 distinguished UC patients from healthy controls. IL-22 was also downregulated in UC patients and positively correlated with Mirt2. Mirt2 overexpression led to upregulated, while Mirt2 siRNA silencing led to inhibited secretion of IL-22 from colonic epithelial cells treated with LPS. In addition, under LPS treatment, Mirt2 overexpression led to decreased, while Mirt2 siRNA silencing led to increased apoptotic rate of colonic epithelial cells. Therefore, Mirt2 is downregulated in ulcerative colitis and regulates IL-22 expression in colonic epithelial cells.
Genética en los Síndromes de QT prolongado

The long QT syndrome (LQTS) is a genetic disorder characterized by prolongation of the QT interval in the electrocardiogram (ECG) and a propensity to "torsades de pointes" ventricular tachycardia frequently leading to syncope, cardiac arrest, or sudden death usually in young otherwise healthy individuals. LQTS caused by mutations of predominantly potassium and sodium ion channel genes or channel-interacting proteins leading to positive overcharge of myocardial cell with consequent heterogeneous prolongation of repolarization in various layers and regions of myocardium. These conditions facilitate the early after-depolarization and reentry phenomena underlying development of polymorphic ventricular tachycardia observed in patients with LQTS. Obtaining detailed patient history regarding cardiac events in the patient and his/her family members combined with careful interpretation of standard 12-lead ECG (with precise measurement of QT interval in all available ECGs and evaluation of T-wave morphology) usually is sufficient to diagnose the syndrome. The LQTS show great genetic heterogeneity and has been identified more than 500 mutations distributed in 10 genes: KCNQ1, HERG, SCN5A, KCNE1, KCNE2, ANKB, KCNJ2, CACNA1A, CAV3 and SCN4B. Despite advances in the field, 25-30% of patients remain undiagnosed genetic. Genetic testing plays an important role and is particularly useful in cases with nondiagnostic or borderline ECG findings.
THE PERFORMANCE, VOLATILITY, PERSISTENCE AND DOWNSIDE RISK CHARACTERISTICS OF SUSTAINABLE INVESTMENTS IN EMERGING MARKET

We analyzed the performance of an emerging market SRI index, the MSCI SRI Emerging Market Index, with regard to its financial performance compared to conventional indexes between June 2011 and December 2014 based on daily returns. Our analysis suggests that the SRI index is ranked higher in terms of mean return than most of the conventional emerging market portfolios. Generally, we found relative stability in the performance and persistence for the SRI index whereby its performance is indifferent from the market benchmark and no persistence can be found. Furthermore, the results suggest that negative shocks have greater impact on the volatility of the index than positive shocks. In general, it can be concluded that the emerging markets SRI index has lower sensitivity to market return during bearish condition.
Dependency-based machine translation and parallel parsing without the projectivity and edge-factoring assumptions. A white paper

In this white paper, we review the theoretical evidence about the computational efficiency of dependency parsing and machine translation without the widely used, but linguistically questionable assumptions about projectivity and edge-factoring. On the basis of the heuristic local optimality parser proposed by (Buch-Kromann, 2006), we propose a common architecture for monolingual parsing, parallel parsing, and translation that does not make these assumptions. Finally, we describe the elementary repair operations in the model, and argue that the model is potentially interesting as a model of human translation.
Settlement Analysis of Pile Foundation Using Plaxis 2D

In the recent years, there are many construction projects which are constructed on soft soil. Because of the characteristics of soft soil, the structures which are built on it are subject to differential settlements. Foundation is one of the methods for reducing differential settlement.To reduce the settlements to an acceptable amount, the piles are added. The aim of this study is to analyse the settlements of the pile foundation by increasing the number piles, as the pile foundation, under the same loading, with or without considering the water table below the top surface. The numerical analysis has been done by finite element method using PLAXIS 2D by considering the various number of piles. As a result, the addition of piles could reduce the settlement. It is necessary to consider the optimum number of piles in pile foundation system based on the allowable settlements, for its economical design. This analysis has been undertaken to study the behavior of pile foundation under different number of piles. This analysis has been done using PLAXIS 2D software.
Data-driven Parameterized Policies for Microgrid Control

If we account for data uncertainty, centralized microgrid control can be decomposed in four tasks: estimating the parameters of the microgrid devices, forecasting the consumption and the renewable production, operational planning to anticipate weather effects and human activities, and realtime control to adapt planned decision to the reality of the moment. As the devices of a microgrid deteriorate over their lifetime and microgrids are by definition small systems, it is of paramount importance to automate the meta-parameterization of these stages to maximize the microgrid efficiency and decrease its maintenance costs. This paper studies how reinforcement learning can be used to address this problem. As reinforcement learning makes use of microgrid operation data (or of simulated data before the microgrid is actually operated) to learn an operation policy, it inherently merges the four stages above, and can in theory adapt to some types of changes without having to perform manual tuning.
C O ] 1 5 O ct 2 01 9 Colouring the normalized Laplacian

We apply Cauchy’s interlacing theorem to derive some eigenvalue bounds to the chromatic number using the normalized Laplacian matrix, including a combinatorial characterization of when equality occurs. Further, we introduce some new expansion type of parameters which generalize the Cheeger constant of a graph, and relate them to the colourings which meet our eigenvalue bound with equality. Finally, we exhibit a family of examples, which include the graphs that appear in the statement of the Erdős-Faber-Lovász conjecture.
Sparse multivariate polynomial factorization: a high-performance design and implementation

Our goal is to develop a high-performance code for factoring a multivariate polynomial in n variables with integer coefficients which is polynomial time in the sparse case and efficient in the dense case. Maple, Magma, Macsyma, Singular and Mathematica all implement Wang’s multivariate Hensel lifting, which, for sparse polynomials, can be exponential in n. Wang’s algorithm is also highly sequential. In this work we reorganize multivariate Hensel lifting to facilitate a highperformance parallel implementation. We identify multivariate polynomial evaluation and bivariate Hensel lifting as two core components. We have also developed a library of algorithms for polynomial arithmetic which allow us to assign each core an independent task with all the memory it needs in advance so that memory management is eliminated and all important operations operate on dense arrays of 64 bit integers. We have implemented our algorithm and library using Cilk C for the case of two monic factors. We discuss details of the implementation and present experimental timing results.
Overinvestment and the Fear of Missing Out∗

I show that investors skip due diligence to quickly fund uncertain projects at high valuations because they rationally fear missing out. Investors may either fund projects immediately or engage in cost-justified but time-consuming learning to evaluate project quality. Time spent learning puts the investor at risk of losing his investment opportunity, leading to an inefficiently low level of learning in equilibrium. Inefficient learning leads to overinvestment in unprofitable projects and often underinvestment in profitable projects. This offers a rational explanation of boomlike overinvestment and bust-like underinvestment for venture capital, mortgage lending, and mergers along price, quantity, and funding speed dimensions. ∗Thanks to Professors Zhiguo He, Stavros Panageas, William Lin Con, Harald Uhlig, and Casey Mulligan for guidance, and to Yiyao Wang for help with the idea that led to this paper. Thanks also to Johnathan Loudis, Michael Barnett, Klakow Akepanidtaworn, students from Econ 33603, Winter 2015, and Sarah Kang. †gbuchak@chicagobooth.edu
A Generic Active Learning Framework for Class Imbalance Applications

Active learning algorithms automatically identify the most informative samples from large amounts of unlabeled data and tremendously reduce human annotation effort in inducing a robust machine learning model. Real-world data often exhibit signiﬁcantly skewed class distributions, where samples from one class dominate over the other. While active learning has been extensively studied, there have been limited research efforts to develop active learning algorithms speciﬁcally for class imbalance applications. In this paper, we propose a novel framework to address this research challenge. We pose the active sample selection as a constrained optimization problem and derive a linear programming relaxation to select a batch of samples. Contrary to existing algorithms, our framework is generic and is applicable to both binary and multi-class problems, where the imbalance may exist across multiple classes. Our extensive empirical studies on four vision datasets spanning three different application domains (face, facial expression and handwritten digits recognition) with varied degrees of class imbalance demonstrate the promise and potential of the method for real-world imbalanced data applications.
Pindborg's tumor: Report of a case with 6 years of follow-up

Calcifying epithelial odontogenic tumor (Pindborg's Tumor) is an odontogenic tumor derived from dental lamina. It is relatively an uncommon odontogenic tumor, which shares clinical features with ameloblastoma. Here, we are reporting a case of Pindborg's tumor with 6 years of follow-up we are presenting this case with all the available clinical data. There was no recurrence within the 6 years of follow-up.
Openness and Income Disparities: Does Trade Explain The 'Mezzogiorno' Effect?

Many theoretical models show that trade openness has positive welfare implications. Yet, openness might affect different social groups and regions asymmetrically, even within a given country. We use Italian regional data to answer the question whether trade openness affects within-country income differentials. In Italy, the more affluent regions are internationally more open than poorer ones not only with respect to trade in goods, but also with respect to FDI and international migration. Prima facie, there is a positive correlation between openness and per capita income. Studying this relationship empirically requires taking into account the endogenous component of openness. We apply panel cointegration and instrumental variables techniques to account for the endogeneity of trade. Our results show a positive link between trade openness and the level of income per capita.
Crisis Management in Anesthesiology

1. Fundamentals of Dynamic Decision Making in Anesthesia 2. Specific Principles of Anesthesia Crisis Resource Management 3. Teaching Anesthesia Crisis Resource Management 4. Debriefing 5. Generic Events Acute Hemorrhage Cardiac Arrest Difficult Tracheal Intubation Emergent (Crash) Induction of Anesthesia Esophageal Intubation High Inspired CO2 High Peak Inspiratory Pressure Hypertension Hypotension Hypoxemia Operating Room Fire ST Segment Change The Septic Patient The Trauma Patient 6. Cardiovascular Events Acute Coronary Syndrome Anaphylactic and Anaphylactoid Reactions Autonomic Dysreflexia Cardiac Tamponade Nonlethal Ventricular Arrhythmias Pulmonary Edema Pulmonary Embolism Sinus Bradycardia Supraventricular Arrhythmias Venous Gas Embolism 7. Pulmonary Events Airway Burn Airway Rupture Anterior Mediastinal Mass Aspiration of Gastric Contents Bronchospasm Endobronchial Intubation Epiglottitis (Supraglottitis) Hypercarbia Hypoxemia During One-Lung Ventilation Massive Hemoptysis Pneumothorax Postoperative Stridor Unplanned Extubation 8. Metabolic Events Addisonian Crisis (Acute Adrenal Insufficiency) Diabetic Ketoacidosis Hyperkalemia Hypoglycemia Hypokalemia Hyponatremia and Hypo-osmolality Hypothermia Malignant Hyperthermia Metabolic Acidosis Methemoglobinemia Oliguria Thyroid Storm Transfusion Reaction 9. Neurologic Events Central Nervous System Injury Local Anesthetic Systemic Toxicity Perioperative Visual Loss Peripheral Nerve Injury Postoperative Alteration in Mental Status Postoperative Failure to Breathe Seizures 10. Equipment Events Carbon Monoxide in the Anesthesia Circuit Circle System Expiratory Valve Stuck Closed Circle System Inspiratory Valve Stuck Closed Circle System Valve Stuck Open Common Gas Outlet Failure Drug Administration Error Electrical Power Failure Faulty Oxygen Supply Gas Flow Control Malfunction Intravenous Line Failure Loss of Pipeline Oxygen Major Leak in the Anesthesia Breathing Circuit Pop-Off Valve Failure Ventilator Failure Volatile Anesthetic Overdose Waste Anesthesia Gas Disposal System Malfunction 11. Cardiac Anesthesia Events Cardiac Laceration Coagulopathy Following Cardiopulmonary Bypass Emergent "Crash" onto Cardiopulmonary Bypass Hypotension During Cardiopulmonary Bypass Low Cardiac Output State Post-Cardiopulmonary Bypass Massive Systemic Air Embolism Protamine Reaction 12. Obstetric Events Amniotic Fluid Embolism (also termed Anaphylactoid Syndrome of Pregnancy) Cardiac Arrest in the Parturient Difficult Airway in the Parturient Emergency Cesarean Section Hypotension Following Neuraxial Anesthesia Magnesium Toxicity Obstetric Hemorrhage Pre-eclampsia and Eclampsia Total Spinal Anesthesia 13. Pediatric Events Acute Hemorrhage in the Pediatric Patient Anaphylaxis in the Pediatric Patient Aspiration of a Foreign Body Bradycardia in the Pediatric Patient Cardiac Arrest in the Pediatric Patient Difficult Airway Management in the Pediatric Patient Hypotension in the Pediatric Patient Laryngospasm Masseter Muscle Rigidity Sinus Tachycardia in the Pediatric Patient
THE EARLY AGE STUDY OF CEMENT HYDRATION BY IN-SITU SYNCHROTRON X-RAYS DIFFRACTION

The x-ray diffraction technique is normally used to determine cement hydration products such as ettringite (AFt), monosulfate (AFm), and portlandite (CH). The hydrated samples have to be prepared in dry powder and the cement hydration reaction has to be stopped at a specific time. It is not practical to study the hydration products at a very early age. To overcome this limitation, the in-situ wide angle x-ray scattering technique (WAXS) was used to investigate cement hydration. Because of the high intensity of synchrotron x-rays, the measurement time was shortened. This enabled the study of cement hydration at a very early age by the WAXS technique which gave valuable information on the rate of formation and depletion of the cement hydration products at a very early age and an understanding of the cement’s properties such as workability and early compressive strength.
Spectral analysis of heart rate variability in premature infants

We studied the effect of gestational age, birth weight, postmenstrual age and selected neonatal morbidities on the heart rate power spectra in preterm infants (birth weight 1075 (840, 1230) grams, gestational age 27 (26, 30) weeks). Age at testing was 6 (3, 11) days. Birth weight, gestational age and postmenstrual age were positively correlated with low frequency power (0.03- 0.39 Hz) with correlation coefficients of 0.59, 0.54 and 0.53 respectively ( p< 0.05); high frequency power (0.4-1.0 Hz) (r-value 0.54, 0.58 and 0.50 respectively) ( p< 0.05); and total power (r-value 0.41, 0.38 and 0.41 ( p< 0.05) respectively). No significant effect on heart rate power spectra was observed for intraventricular hemorrhage, mechanical ventilation or methylxanthine use. Our data indicates increased heart rate variability with maturation and no major effect of the neonatal morbidities studied at the time when infants were physiologically stable.
Milk lipids and their variability

SummaryHuman milk is found to be variable in its composition but these variations are predictable and could be physiologically significant to the neonate. In-feed variations are mainly associated with a rise in milk lipid content. Milk from the early part of the feed provides water and the later milk is rich in lipid. This change offers the baby a means of satisfying water and nutrient requirements and could also act as a mechanism of appetite control.Milk has been studied over a 9-month lactation period. It was found that whilst the early milk phosphoglycerides were rich in the long-chain polyunsaturated fatty acids used in brain cell growth, their content fell with time, but the proportion of the long-chain mono-unsaturated acids used in myelin increased. This change is consistent with the changing developmental biology in the neonate which shifts the emphasis from brain cell division to myelination.In general, the fatty acid composition of breast milk from well-nourished mothers in different countries .
Airspace Network Characterization for Effect of Intermediate Waypoints on Collision Risk Assesmnet

This paper investigates how estimated collision risk in upper airspace varies with changes in underlying airspace network complexity. Direct Route model (which assumes great circle route between entry and exit waypoints) and Intermediate Waypoint model (which uses airway-waypoint routes between entry and exit waypoints) were employed. One month of traffic data (over 200,000 flights) from 12 countries in the middle-east region was analyzed for collision risk estimates and the airspace network was characterized for several complex network indicators. Results show that Intermediate waypoint leads to a significant increase in collision risk estimates. Results also show correlation between estimated collision risk and specific network complexity measures. From operational perspective this means that in airspaces with a highly structured airspace, collision risk may be underestimated when using the widely accepted direct route model. Keywords-Collision Risk; Airways Network; Complex network
Construction of Teaching System for Developing Students' Core Literacy in Biology

Developing students' core biological literacy is the core task of middle school biology curriculum. The concept of biology is the overall understanding of biology and life, and the foundation and pillar of the core literacy of biology. Based on the analysis of the conceptual system of biology and philosophy of life science, it is determined that biological concepts include the concept of biological essence and the concept of life. Among them, the concept of biological essence points to the understanding of biology; the concept of life points to the understanding of life, mainly including the material view, energy view, information view, evolutionary view, ecological view and system view of life. As an inquiry teaching mode based on Constructivism theory, 5E teaching mode can effectively enhance the learning effect and interest of natural science, and has been widely recognized by the international scientific education community. Effectively combining 5E teaching mode with core literacy of subjects and applying it to teaching practice is expected to promote the cultivation of students' core literacy of subjects and ultimately promote the formation and development of core literacy.
PC Based Position Control for Robot Arm

Nowadays, robots are widely used in many applications such as military, medical application, factories, entertainment, automobile industries and etc. In the world of robotics, robot arm has become popular to help automation in place of human. So, this system is implemented to control the X, Y positions of stepper motors for robot arm. The position control system of robot arm used a peripheral interface controller (PIC18F452), three stepper motors and rotary encoder. The PIC acts as the main controller of the position control system and three stepper motors are used for robot arm rotation. For feedback on motors, the rotary encoder is used to record the changes in position. To control the motors position, the input commands are applied to the motor driver through the PC. This system can control the robot arm during the 310mm X position and 310 mm Y position. This system is implemented by using Visual Basic. Net and MikroC Pro.
Oxygen and Hypoxia

This article will begin with a review of the development of the atmosphere and how this evolution interacted with the evolution of life; I believe this study may explain some features of hypoxia —or at least it should be borne in mind when thinking about them. Secondly, there will be a review of the history of the development of our understanding of oxygen and hypoxia as an essay on the pace of the acceptance of new ideas.