Miracle-dz/UniFAR-FTUs huggingface dataset:
A Mapping of Wireless Network Boundaries Using Localised Alpha-Shapes

Intuitively, many wireless and sensing applications benefit from knowledge of network boundaries. Many virtual coordinate constructions rely on the furthest set of nodes as beacons. Network edges may also bound routing holes in the network, regions of failure due to environmental effects, or indicate the need for additional deployment. In this paper we propose an algorithm to identify nodes and links that sit on the boundaries of the physical network. Edge nodes may then participate to map the network boundaries. Our algorithm is provably correct and exploits the relationship between alphahulls, a generalisation of the convex hull, and communication range. This relationship allows nodes on network boundaries to identify themselves without outside intervention. We then show via simulation that our algorithm identifies meaningful boundaries even in networks of low-density and non-uniform distribution.
Designing Rules for Accounting Transaction Identification based on Indonesian NLP

Recording accounting transactions carried out by the evidence of the transactions. It can be invoices, receipts, letters of intent, electricity bill, telephone bill, etc. In this paper, we proposed design of rules to identify the entities located on the sales invoice. There are some entities identified in a sales invoice, namely : invoice date, company name, invoice number, product id, product name, quantity and total price. Identification this entities using named entity recognition method. The entities generated from the rules used as a basis for automation process of data input into the accounting system.
Adult Psychological Testing Decision Support Guide

Testing of personality characteristics, intelligence, aptitude, or achievement is sometimes performed to assist with diagnosis and/or treatment planning for behavioral health disorders. However, the clinical utility and cost-effectiveness of formal psychological testing have been questioned. In most situations, clinical interviews and brief assessment instruments provide sufficient information for diagnosing behavioral health disorders and determining the most appropriate treatment. Occasionally, a particular psychological test may be helpful for addressing a very specific clinical question; these situations must be reviewed on a case-by-case basis.
cDNA sequence and deduced amino acid sequence of a fungal stress protein induced in Rhizopus nigricans by steroids.

cDNA clone was isolated from lambdagt11 library prepared from Rhizopus nigricans after growing the fungus in the presence of progesterone. Northern blot analysis of total RNA showed that expression of corresponding mRNA was up-regulated in R. nigricans after treatment with different steroids and after exposure of the fungus to heat shock or osmotic stress. Sequence analysis revealed an open reading frame for a 364-amino-acid polypeptide. The predicted amino acid sequence exhibited significant similarity to several sugar epimerases in two domains common to these enzymes. Our results suggest that the analyzed cDNA is coding for a fungal stress inducible protein belonging to sugar epimerases.
Can semiquantitative measurements of SUVmax and cut-off values differentiate colorectal malignant from benign lessions?

OBJECTIVE We investigated maximum standardized uptake value (SUVmax) and cut-off values for differentiation of malignant and benign lesions in colorectal cancer (CC) as multiple studies have questioned their validity. We also investigated more extended indices using common semi-quantification analysis in incidental colorectal findings (ICF). SUBJECTS AND METHODS Fluorine-18-fluoro deoxy glucose positron emission tomography/computed tomography in 25 patients with a total of 30 focal ICF was retrospectively analysed using dedicated software. Method variability was tested through application of three common threshold-based lesion delineation techniques as well as a partial-volume correction (PVC). Lesion SUVmax, SUVmean, metabolically active volume (MAV) and mean total lesion glycolysis (TLG) were thereby extracted along with PVC corrected values (cSUVmean, cTLG) and SUVpeak. RESULTS In all lesions, SUVmax was >5 and SUVmean≥2.7. Malignant SUVmax values (mean±SD: 16.5±6.2) were overall significantly higher than benign levels (9.8±3.6). There was a substantial overlap with values in polyps/adenomas (14.4±7.7). Both SUVpeak and SUVmean showed similar characteristics. Malignant MAV and TLG showed more distinct levels. Though different segmentation methods introduced variations, largest in MAV (-58.6%-141.5%), and PVC generally increased measures significantly by a factor of 1.2-2.7, neither changed relative levels much. SUVmax values were inadequate for aetiological differentiation of ICF, which also precludes a clinically significant cut-off value. The same applies to SUVpeak and SUVmean while TLG measures may be more indicative. CONCLUSION Semi-quantitative measurements of SUVmax and cut-off values proved inadequate for differentiating colorectal malignancies from benign findings. While integrated measures, e.g. cTLG, are potentially better indicators of disease severity and extent, more optimal segmentation and PVC methods are required.
Augmentation and combination strategies to treat the residual symptoms of major depressive disorder.

16 Experienced clinicians are increasingly aware of the limitations of antidepressant monotherapies to completely treat the acute symptoms of major depressive disorder (MDD) and to sustain the benefits over time. In fact, many patients with MDD who are treated with SSRIs achieve only partial treatment responses and may suffer from residual symptoms contributing to a poorer outcome. Consequently, the “old school” teaching of reluctant polypharmacy is being recast as a more strategic new approach incorporating augmentation or combination antidepressant treatments. In this interview, Dr. Maurizio Fava reviews the importance of treating residual symptoms and describes some of his preferred strategies.
Is Mass Deworming a Viable and Competitive Method to Improve Welfare in Developing Countries

Recently, school-based mass deworming programs have been increasingly employed in developing countries as a tool to improve health, education, and prosperity. With international support from the World Health Organization, these initiatives have attempted to reduce the detrimental developmental threat that intestinal worms pose to nearly one billion school-aged children. The body of research focused upon the future welfare impacts on countries and individuals subjected to these programs has surged in the new millennium. Economists have utilized the various health and labor market outcomes associated with deworming programs in an attempt to estimate their effect on developing economies. This paper attempts to provide a comprehensive review of the literature surrounding mass deworming programs. Bringing together studies of various time periods and locations, the question of whether these programs are feasible and effective across the range of circumstances found in developing regions is explored. Beyond their own evaluation, school-based mass deworming programs are then compared to like-minded policies undertaken in developing regions, in an attempt to understand the relative cost-efficiency with which mass deworming achieves its goals. This review aggregates the findings of many studies to support the notion that mass deworming programs are a viable and comparatively efficient method to improve welfare in developing countries.
Are Outbreaks of Nilaparvata lugens (Stål) Associated with Global Warming?

ABSTRACT Outbreaks of the Nilaparvata lugens (Stål), have occurred frequently in China during the past few years, resulting in a broad and significant reduction in rice yield. N. lugens immigrate into China each spring from Southeast Asia, and the Guangxi Zhuang Autonomous Region is the first area affected. Light trap catches for the early season period (March–June) in Guangxi for the past 30 yr have been analyzed, and the catch sequences for five observation stations (Longzhou, Hepu, Yongning Yongfu, and Quanzhou) were studied in detail. It was found that during the past 10 yr the first appearance of N. lugens at light traps occurs earlier, there is a higher frequency of days with large light-trap catches, and catches in southern Guangxi are larger. Recently light-trap catches have also increased in northern Guangxi. It is concluded that the increasing number of immigrants from overseas is one of the primary reasons for the increase in N. lugens outbreaks in the past 10 yr. Global warming, and specifically winter temperature increases, appears to be for a factor accelerating outbreaks of N. lugens in Asia.
Colored aftereffects contingent upon global transformations?

Dodwell and Humphrey (Psychol. Rev. 97, 78-79, 1990) have argued that colored aftereffects (CAEs) are contingent on the global geometries of local orientation and edge components in induction patterns. The spatiotopic dimensions underlying these geometries are derived from previous applications of the mathematics of continuous transformations (Lie groups) to the stimulus dynamics of perceptual invariance. In these terms, complementary CAEs induced by inspecting alternating colored bullseyes and spokes are attributed to the adaptation of orthogonal spatiotopic channels; the former characterized by vectorfields dealing with object invariance under rotation, and the latter by vectorfields dealing with object invariance under dilation. Importantly, the pattern-contingent CAEs induced in this pair of pattern channels are independent of CAEs induced in channels characterized by vectorfields dealing with object invariance under vertical and horizontal translations (e.g. vertical and horizontal gratings). The present investigation examined whether CAEs contingent on the stimulus dynamics originally used to define these spatiotopic channels exhibit comparable properties. It is confirmed that pairs of complementary CAEs can be induced simultaneously with radially expanding and contracting bullseyes, and clockwise- and counter-clockwise-rotating spokes (Experiment 1); and it is shown that these CAEs combine linearly in generalizing to and from the radial and rotational components of spiral motion (Experiments 2 and 3 respectively). In direct contrast to findings for CAEs induced with stationary versions of these patterns, however, it is demonstrated that complementary pairs of CAEs induced by expanding and contracting bullseyes interact with CAEs induced by left- and right-moving vertical gratings, suggesting that the components of motion underlying these contingent effects are locally and not globally determined (Experiment 4).
Applications of stochastic modeling for investment decision-making under market uncertainties

Profit-seeking organizations make investment decisions with financial implications. These decisions are often complicated by (i) market uncertainties about investment payoffs, (ii) the possibility to select a portfolio of investments, and (iii) the presence of real options, which make it possible to postpone investments until some uncertainties are resolved. Quantitative support for these decisions builds on methodological contributions in stochastic modeling, financial modeling, and decision analysis, among others. This dissertation develops scenario-based approaches and decision models for several problem contexts, most notably for (i) the optimal harvesting of forest stands, (ii) the management of electricity contract portfolios, (iii) the investments in power plants, and (iv) the valuation of real options in new product development. These models support investment decisionmaking and, in some cases, they also help analyze policy impacts at the industry level. Each model is presented in view of later publication in a refereed journal. The methodological advances of the dissertation offer several novel insights into the above decision problems. In the context of the optimal harvesting of forest stands, this dissertation demonstrates that multi-level risk management over several time periods and at multiple confidence levels can reduce risks significantly without a major reduction in the expected return. In the management of electricity contract portfolios, the dissertation shows that correlation between price and load is important to model, or else risks may be underestimated, resulting in suboptimal decisions. In the analysis of the investments in power plants, it is concluded that uncertainties in the carbon dioxide emission policies may foster the development of more concentrated and less competitive electricity markets, because the new investments are more likely to be made by larger financially stronger incumbent firms than small, project-financed independent power producers. Finally, in the valuation of real options in new product development, the value of real options is shown to be non-monotonic with respect to increased competition, whereas the options for enhancing product development and delaying product launch are found to be typically most useful when the level of competition is weak.
Robust H Observer Design for a Class of Nonlinear Uncertain Systems via Convex Optimization

A new approach of robust Hinfin observer design for a class of Lipschitz nonlinear systems with time-varying uncertainties is proposed in the LMI framework. The admissible Lipschitz constant of the system and the disturbance attenuation level are maximized simultaneously through convex multiobjective optimization. The resulting Hinfin observer guarantees asymptotic stability of the estimation error dynamics with exponential convergence and is robust against nonlinear additive uncertainty and time-varying parametric uncertainties. Explicit bounds on the nonlinear uncertainty are derived based on norm-wise and element-wise robustness analysis.
ON-DEMAND OPTIMUM RESOURCE PROVISIONING ON CLOUD

Cloud computing is an advanced model for delivering information technology services in which resources are retrieved from the internet through web based tools and applications. The important challenges in cloud computing are security, resources allocation and resources provisioning. The important aim in resource provisioning is maximum performance in minimum time and reduce the amount of data transfer with minimum cost. When the workload of services increases rapidly, the Quality of Service(QoS) of the hosted application may degrade and the Service Level Objective(SLO) will be violated.
Stability and Control Performance Analysis of Double EWMA Controller With Metrology Delay

This paper mainly focuses on establishing the stability conditions of the double exponentially weighted moving average (d-EWMA) controller with metrology delay when the process experiences a general disturbance and analyzing its control performance under some typical types of process disturbance. The necessary and sufficient conditions for stability are established by Routh-Hurwitz criteria. It has been shown that if the process gain mismatch is greater than 4/3, metrology delay will make the feasible region of two weighting factors in the d-EWMA controller decrease, and the larger metrology delay is, the smaller the feasible region is. Moreover, given two weighting factors, it is found that metrology delay will weaken the robustness of the d-EWMA controller. The influence of metrology delay on the asymptotical control performance is evaluated based on asymptotical mean square error (AMSE). Optimal weighting factors and AMSE can be solved based on analytical expression of the AMSE, which is derived by using the Yule-Walker equations to avoid function summing limit operation. Through numerical simulations, it demonstrates that metrology delay may increase the variability of the process output under certain conditions. Finally, the chemical mechanical polishing process in semiconductor manufacturing is used to illustrate the validity of theoretical results.
The Eurasian Economic Union: Opportunities for Increasing the Russia-Armenia Tourist Flows

Currently the issue of increasing tourist flows between Russia and Armenia has gained particular significance. The Republic of Armenia and the Russian Federation are the Eurasian Economic Union (EAEU) member-states, so development of tourism between the two countries will serve better understanding and will create conditions for further steady development and business cooperation. Analysis of tourism role in the economy of different countries shows that inward tourism plays an important role for national economies. It is very important for Armenia to ensure future growth of tourist flow from Russia. According to the National Statistics Service of the Republic of Armenia the majority of visiting Armenia tourists are Russian tourists. Development of integration processes within EAEU is directly related to the increase of tourist flows within the Union. On the one hand inward tourism contributes to the economic growth of a country (a tourist destination, acting as the receiving party), which increases the living standards of the population. On the other hand – tourism development is important for EAEU as an integration group, as it ensures socio-cultural development, sustainability and stability of international and cross-cultural communications, better understanding, it becomes a booster of business cooperation between countries.
Estimation of failure rate using random and partition testing

Failure rate, given an operational profile, is a common measure of reliability. A number of approaches to estimating failure rate are described and it is demonstrated that, under certain conditions, a functional partition can provide a better estimator than random‐testing‐based estimators. © 1997 John Wiley & Sons, Ltd.
Exploring customer Spending Behavior and Payday Effect using Prepaid Cards Transaction Data

Background: Prepaid cards are reloadable charge cards typically designed for customers that would not be able to have a traditional credit card due to no or poor credit history, and hence unable to open checking account or credit card at a bank. Many prepaid card customers would have their salary credited to their account and make most withdrawals and purchases on this card since they do not have many other options. Their data are therefore very suitable for studying customer spending behaviors. Aim: In this work, we study how income affects customer spending patterns. Specifically, we aim to determine whether or not a “payday effect”, i.e. payroll incomes affecting customers’ spending behaviors, exists in the prepaid card customers and if so how does it vary over time and transaction categories. Data: We use prepaid card transaction data collected by a large national bank over the course of 28 months which covers customers across the United States. The subset we considered contains 41,610 customers. We processed the data so that there are 6 categories of spending and 4 categories of deposits. The length of the transaction history of each customer varies between 11 days to 28 months. Method: We use a variant of the linear regression model from prior studies on payday effects and carefully control for possible confounding factors, specifically balance features. Results: Strong (and statistically significant) responses are detected for all transaction categories on the coefficients corresponding to indicator features for days on and after payday. The explained variances on non-essential spending (restaurants and others) are larger than that on essential spending (grocery, gas, etc.). Conclusion: We conducted our analysis on the new prepaid card transaction data with additional control for balance. A strong payday effect exists on prepaid card customers despite the predictable nature of payroll income. The strengths may vary across different types of spending.
Infection of Calves with Bovine Norovirus GIII.1 Strain Jena Virus: an Experimental Model To Study the Pathogenesis of Norovirus Infection

ABSTRACT The experimental infection of newborn calves with bovine norovirus was used as a homologous large animal model to study the pathogenesis of norovirus infection and to determine target cells for viral replication. Six newborn calves were inoculated orally with Jena virus (JV), a bovine norovirus GIII.1 strain, and six calves served as mock-inoculated controls. Following infection, calves were euthanized before the onset of diarrhea (12 h postinoculation [hpi]), shortly after the onset of diarrhea (18 to 21 hpi), and postconvalescence (4 days pi [dpi]). Calves inoculated with JV developed severe watery diarrhea at 14 to 16 hpi, and this symptom lasted for 53.5 to 67.0 h. Intestinal lesions were characterized by severe villus atrophy together with loss and attenuation of villus epithelium. Viral capsid antigen (JV antigen) was detected by immunohistochemistry in the cytoplasm of epithelial cells on villi. In addition, granular material positive for JV antigen was detected in the lamina propria of villi. Lesions first appeared at 12 hpi and were most extensive at 18 to 19 hpi, extending from midjejunum to ileum. The intestinal mucosa had completely recovered at 4 dpi. There was no indication of systemic infection as described for norovirus infection in mice. JV was found in intestinal contents by reverse transcription-PCR (RT-PCR) and enzyme-linked immunosorbent assay (ELISA) as early as 12 hpi. Fecal shedding of the virus started at 13 hpi and stopped at 23 hpi or at necropsy (4 dpi), respectively. Throughout the trial, none of the control calves tested positive for JV by ELISA or RT-PCR.
Migraine and isolated recurrent vertigo of unknown cause

Abstract Chronic recurrent attacks of vertigo, not associated with any auditory or neurological symptoms, are a common reason for referral to our neurotology clinic. Even after an extensive neurotological evaluation, some cases remain undiagnosed. We prospectively evaluated 72 consecutive patients who presented to the clinic with isolated recurrent vertigo of unknown cause. All patients underwent diagnostic evaluation to exclude identifiable causes of isolated recurrent vertigo. We compared the prevalence of migraine, according to the International Headache Society (IHS) criteria, in the isolated recurrent vertigo group, with a sex- and age-matched control group of orthopedic patients. The prevalence of migraine according to IHS criteria was higher in the isolated recurrent vertigo group (61.1%) than in the control group (10%; p< 0.01). Only 16.7% of patients had an abnormal vestibular function test. The most common abnormal finding was a unilateral vestibular weakness to caloric stimulation. Our results suggest that migraine should be considered in the differential diagnosis of isolated recurrent vertigo of unknown cause.