Miracle-dz/UniFAR-FTUs huggingface dataset:
The changes of oxidative stress and Δ9-tetrahydrocannabinol accumulation in liver of type-2 diabetic rats

In this study, we aimed to explore the changes of oxidative stress, Δ 9 - tetrahydrocannabinol (Δ 9 -THC) and its metabolites accumulation in the liver of type-2 diabetic rats treated with Δ 9 -THC. 8-10 week-old Sprague-Dawley rats were divided into four groups. Group I: Physiological saline was administered intraperitoneally(i.p) (n=7). Group II: Rats that was given Δ 9 -THC for 7 days (3 mg/kg/day) (n=6) (i.p). Group III: Streptozotocin(STZ, 65 mg/kg)+Nicotinamide(NAD, 85 mg/kg) (n=7) (i.p). Group IV: Diabetic rats that were given Δ 9 -THC(3 mg/kg/day) for 7 days (n=7) (i.p). The biochemical investigation was carried out on the serum and liver tissue. Δ 9 -THC and its metabolites were analyzed by using GC- MS in the liver of rats. Liver glutathione level in diabetes+ Δ 9 -THC increased as compared to diabetic rats. The increased lipid peroxidation and protein carbonyl levels in diabetes showed a low reduction with Δ 9 -THC. Catalase and superoxide dismutase activities in liver of diabetic rats increased with Δ 9 - THC treatment, non-statistically. Serum uric acid level, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities slightly increased in diabetic group as compared to control group. While the AST level reduced in the liver, ALT level did not be affected in Δ 9 -THC treated with diabetic rats as compared with the diabetic group. Δ 9 -THC level in liver was negative in given Δ 9 -THC groups. But the liver THC-COOH metabolite accumulation in Δ 9 -THC group is higher than Diabetes + Δ 9 -THC group. We could say that Δ 9 -THC can reduce diabetes-induced oxidative damage in the liver of type-2 diabetic rats. The metabolization of Δ 9 -THC in the liver can be accelerated with diabetes.
Predicting Audience Reactions to a Speech

The purpose of this project is to create a model to predict a sentence-level audience reaction to a written speech. This model could be immensely useful to a politician or executive because it provides a heuristic for the eﬀectiveness of the speech. This project applies a recently developed, computationally eﬃcient, context-encoding model-originally intended for medical document classiﬁcation-to the CORpus of tagged Political Speeches. The organizational complexity of speeches is overcome by processing large amount of context to eﬀectively classify audience reaction. Model experiments indicated that increasing context size is of limited importance in accurately predicting audience responses. Overall, the model achieved moderately successful classiﬁcation results.
Writing Tests for This Higher-Order Function First: Automatically Identifying Future Callings to Assist Testers

In functional programming languages, such as Scala and Haskell, a higher-order function is a function that takes one or more functions as parameters or returns a function. Using higher-order functions in programs can increase the generality and reduce the redundancy of source code. To test a higher-order function, a tester needs to check the requirements and write another function as the test input. However, due to the complexity of higher-order functions, testing higher-order functions is a time-consuming and labor-intensive task. Testers have to spend an amount of manual effort in testing all higher-order functions. Such testing is infeasible if the time budget is limited, such as a period before a project release. In this paper, we propose an automatic approach, namely PHOF, which predicts whether a higher-order function will be called in the future. Higherorder functions that are most likely to be called should be tested first. Our approach can assist developers to reduce the number of higherorder functions under test. In PHOF, we extracted 24 features from source code and logs to train a predictive model based on known higher-order functions calls. We empirically evaluated our approach on 2854 higher-order functions from six real-world Scala projects. Experimental results show that PHOF based on the random forest algorithm and the SMOTE strategy performs well in the prediction of calls of higher-order functions. Our work can be used to support the scheduling of limited test resources.
Impact of land cover change on aboveground carbon stocks in Afromontane landscape in Kenya

Land cover change takes place in sub-Saharan Africa as forests and shrublands are converted to agricultural lands in order to meet the needs of growing population. Changes in land cover also impact carbon sequestration in vegetation cover with an influence on climate on continental scale. The impact of land cover change on tree aboveground carbon stocks was studied in Taita Hills, Kenya. The land cover change between 1987 and 2011 for four points of time was assessed using SPOT satellite imagery, while the carbon density in various land cover types was assessed with field measurements, allometric biomass functions and airborne laser scanning data. Finally, the mean carbon densities of land cover types were combined with land cover maps resulting in carbon stock values for given land cover types for each point of time studied. Expansion of croplands has been taking place since 1987 and before on the cost of thickets and shrublands, especially on the foothills and lowlands. Due to the land cover changes, the carbon stock of trees was decreasing until 2003, after which there has been an increase. The findings of the research is supported by forest transition model, which emphasizes increase of awareness of forests' role in providing ecosystem services, such as habitats for pollinators, water harvesting and storage at the same time when economic reasons in making land-use choices between cropland and woodland, and governmental legislation supports trees on farms.
CHRONIC OPIOID USE IN FIBROMYALGIA SYNDROME: CHARACTERISTICS AND OUTCOMES

OF DISSERTATION CHRONIC OPIOID USE IN FIBROMYALGIA SYNDROME: CHARACTERISTICS AND OUTCOMES Fibromyalgia syndrome (FMS) is a chronic pain condition with significant societal and personal burdens of illness. Chronic opioid therapy in the treatment of chronic nonmalignant pain has increased drastically over the past decade. This is a worrisome trend in general, but specifically, given the pathophysiologic characteristics seen in fibromyalgia syndrome patients, the use of this class of medication deserves special scrutiny. Although the theoretical case against this therapy choice is strong, little empirical evidence exists. In order to supplement this literature, retrospective analysis methods are utilized to examine the association of state-, provider-, and patient level characteristics with the prevalence of chronic opioid use in this disease state. Data gathered through this analysis is then used to develop a propensity index for the identification of an appropriate control group for fibromyalgia patients, a task that has proven difficult in the literature to date. Using propensity stratification and matching techniques analysis of the impact of fibromyalgia, chronic opioid use, and the interaction of these two variables are undertaken. Several key findings and updates to the understanding of chronic opioid use and fibromyalgia syndrome are reported. Wide geographic variation in chronic opioid utilization between states is seen. The role of diagnosing provider type in the rate of chronic opioid prescribing is significant and can be aggregated at various levels. Demographic characteristics, comorbid conditions, and concurrent medication use are all important associates of chronic opioid use in fibromyalgia syndrome. Additionally, chronic opioid use in fibromyalgia patients, independent of propensity to receive that therapy choice is a significant correlate with healthcare costs. A diagnosis of fibromyalgia is a statistically significant source of healthcare costs, though the clinical significance of its impact when compared to a closely matched control group is minimized. Despite the minimization of the role of this diagnosis the impact of the interaction of chronic opioid use with fibromyalgia, despite control for myriad regressors, is significant both statistically and clinically.
Parameterizedmodel of Lake eutrophication ( GPLake ) that links fi eld-, lab-and model-based knowledge

• The derivation of GPLake provides a model with a solid mechanistic foundation. • GPLake parameterization benefits lake managers by using complementary information. • Comparable nutrient to chl-a relations are found among knowledge sources. • Lakewater quality can be estimated by a few inputs in GPLake application. • GPLake provides a versatile and simple tool for lake management. Parameter values Lake water quality Model structure ⁎ Corresponding author at: Netherlands Institute of Eco E-mail address: m.chang@nioo.knaw. nl (M. Chang). https://doi.org/10.1016/j.scitotenv. 2019.133887 0048-9697/© 2019 The Authors. Published by Elsevier B.V Approach Method Process-based
Constructing decision support systems for enrolling citizens to pension reform

The present study claims that Decision Support Systems (DSS) feature in attempts to influence citizens to behave in line with pension reform. The study looks at two key aspects of this: (1) What objectives concerning anticipated behaviour are public and other actors trying to inscribe into technology during the process of enrolling citizens to pension reform? (2) How does technology in general, and the DSS in particular, feature as a part of this process? The study concludes that the objectives that leading actors try to inscribe into technology have changed during the course of the process. First the focus was on accomplishing an active choice of citizens, subsequently changing to an informed choice. Later on, this changed to an intention to avoid systematically poor outcomes. Technology as such has gradually developed from providing information and facilities for changing funds online into offering an advanced DSS for financial transactions.
Pub Finder : Assisting the discovery of qualitative research

In recent years, scientists are under pressure to publish more and more papers in order to survive in a very competitive environment. This trend has resulted in an explosion of the the number of published research papers in all scientific fields. Additionally, it has been shown that a large portion of these articles contains low quality research and errors. As a result, identifying the most important articles which are relevant to a subject of interest is a non-trivial, tedious task. In this work, we present Pub finder, a tool that assists the discovery of qualitative publications. This tool supports ranking and comparing scientific papers based on various impact aspects. Furthermore, it provides useful additional features like intuitive infographics and article bookmarking. Pub finder is freely available (in beta version) at http://andrea.imis. athena-innovation.gr/ pubfinder/web ACM Reference Format: Thanasis Vergoulis, Ilias Kanellos, Serafeim Chatzopoulos, Christos Tryfonopoulos, Theodore Dalamagas, and Yannis Vassiliou. 2018. Pub Finder: Assisting the discovery of qualitative research. In Proceedings of Hellenic DataManagement Symposium (HDMS’18). ACM,NewYork, NY, USA, 4 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
Graphene Coated Acrylic Based Fabric Heaters

Flexible electrothermal heaters have gained a wide interest in recent years due to broad interests in wearable electronics which include warming garments, and as flexible heaters for medical purposes and vehicles [1]. The commercial electrothermal materials such as ferro chromium (FeCr)-based alloys are disadvantageous since they are heavy in weight, rigid, and low in heating efficiency [1]. Indium tin oxide (ITO) is widely used as an alternative in commercial usage because it has high electrical conductivity. However, ITO is one of earth’s rare metals and its price has become an issue that limits its extensive use [2]. Also ITO is not suitable for flexible applications because it is fragile under bending or other deformation [2]. Graphene is a 2-dimensional nanomaterial which is widely used in areas of flexible electronics and electrothermal heaters [3]. Compared to FeCr or ITO, graphene is source abundant (i.e. from graphite), light weight and is low in production cost (e.g. solution-based Hummers’ method) [4]. These traits of graphene make it an attractive candidate material for flexible electrothermal heaters. Also, the efficiency of an electrothermal heater is primarily governed by convective heat loss and graphene is reported to bear a low convective heat transfer coefficient, making it an outstanding electrothermal heating material [5]. Various flexible electrothermal heaters based on graphene has been reported recently. However, most of these graphenebased heaters require high driving voltage to obtain a target temperature [6]. These high driving voltages are potentially hazardous to human body and the safe limit for driving voltage of wearable heaters should remain below 36 V [6]. While many flexible electrothermal heaters have been reported using bendable polymeric substrates, wearable electrothermal heaters based on conductive/insulating fibrous materials is still in its primitive stage. Recent reports discuss the development of fabric-type fibrous heaters but their processing methods are complicated and require many steps [7,8]. Therefore, it is challenging to obtain flexible heaters that are lightweight, low-cost and require mild-processing conditions are desirable for practical and scalable applications [9]. In this work, we report a facile-prepared, low-voltage driven, flexible electrothermal heater based on a commercially Corresponding Author: Tae Hee Han E-mail: than@hanyang.ac. kr
Intensive short-term therapy with phonation into a glass tube immersed in water: male case studies

Trata-se de um estudo de casos de três homens com 25, 39 e 40 anos de idade, avaliados antes e após dez sessões consecutivas de fonação em tubo de vidro imerso em água. O objetivo foi descrever os resultados vocais da terapia breve intensiva com fonação em tubo de vidro imerso em água, em três homens sem afecções laríngeas e com queixas vocais. Em dois sujeitos, a maioria das medidas de fonte glótica melhorou, mas sem entrar na normalidade. Nos três sujeitos, a maioria das medidas de pressão sonora aumentou acima da normalidade; a maioria dos tempos máximos de fonação aumentou, mas sem entrar na normalidade; a diferença entre a média das vogais e a contagem de números permaneceu fora da normalidade; os resultados das relações s/z e ė/e permaneceram ou entraram na normalidade. Os resultados dos questionários de autoavaliação (Perfil de Participação em Atividades Vocais, Escala de Desconforto do Trato Vocal e Autoavaliação do Grau de Quantidade de Fala e Volume de Voz) mostraram que os escores se mantiveram ou pouco mudaram após a terapia. Todos os sujeitos mostraram Pré-contemplação, primeiro estágio, na Escala URICA-Voz. Nos três homens, após terapia breve intensiva com fonação em tubo de vidro imerso em água, houve discreta melhora na maioria das medidas vocais, mas ainda permaneceram alteradas e, na escala URICA-Voz, o grupo se classificou em Pré-Contemplação.
Exploring selections across channels in Dark Matter searches with top quarks at the ATLAS experiment of the LHC

Current estimates put Dark Matter to 26% of the energy-matter content of the universe, but very little is known about it other than its gravitational interactions. Efforts to learn more about Dark Matter include searching for it at high energy particle colliders. The lack of information about the nature of Dark Matter makes this a complicated task, and many searches are performed in different channels, and considering different theoretical models. In this thesis, I explore two such analyses, performed in the ATLAS collaboration using data from the ATLAS detector at the Large Hadron Collider at CERN: the tW+MET (missing transverse energy) final state and the tt̄+MET final state. I have made a generation-level study of the overlap between the signal regions used, and come to the conclusion that there is some. I have also compared the models used in these analyses, the 2HDM+a and the simplified spin-0 pseudoscalar model. Given the simplifications made in my study, however, more sophisticated approaches should be used before anything conclusive can be said.
The Use of Interferometric Coherence of Sentinel-1a Images to Study Silting in South-East Morocco

: South-East of Morocco is threatened by active dunes; this is due to the scarcity of soil cover due to the combined effects of drought and anthropogenic actions. Terrain Observation by Progressive Scans (TOPS) mode from the Sentinel-1 satellite provides us with up-to-date high-quality Synthetic Aperture Radar (SAR) images over a wide ground coverage (250 × 250 km), enabling full exploitation of various InSAR applications. The SAR (Synthetic Aperture Radar) Interferometric Coherence Information provides an original measure of the dynamics and surface changes that occur between two SAR acquisitions. In this study, Sentinel-1 TOPS data were employed to investigate dunes activities and silting. The Sentinel-1A mission allows the acquisition of radar images at 12 days apart. Thanks to this temporal base, the images of interferometric coherence combined with the amplitude images made it possible to detect the active sand zones as well as the areas of Oasian vegetation. In this paper we used Four images SAR sentinel-1A in SLC mode (Single Look Complex) were acquired with 12 days interval on the study area: two in May 2015 and the other two in November 2017. The temporal analysis of the images of coherence was able to highlight the extension of the active sandy areas over time and the migration of the dunes. Interferometric coherence therefore seems to be a very good tool for mapping dune activity, as well as for tracking dune movements and silting. The results illustrate the potential of interferometric coherence images as a useful source of information for the detection of sand dune movements in semi-arid zones.
Integrated gesture recognition based interface for people with upper extremity mobility impairments

Gestures are of particular interest as a HCI modality for navigation because people already use gestures habitually to indicate directions. It only takes a user to learn few customized gestures for a given navigational task, as opposed to other technologies that require changing hardware components and lengthy procedures. We propose an integrated gesture recognition based interface for people with upper extremity mobility impairments to control a service robot. The following procedure was followed to construct the suggested system. Firstly, quadriplegics ranked a set of gestures using a Borg scale. This led to a number of principles for developing a gesture lexicon. Secondly, a particle filter method was used to recognize hands and represent a generalized model for hand motion based on its temporal trajectories. Finally, a CONDENSATION method was employed to classify the hand trajectories into different classes (commands) used, in turn, to control an actuated device-a robot. A validation experiment to control a service robot to negotiate obstacles in a controlled environment was conducted and results were reported.
SERIES DIPARTIMENTO DI SCIENZE SOCIALI ED ECONOMICHE n . 6 / 2016 Distributive Conflict , Growth , and the ‘ Entrepreneurial State ’ Author / s :

In this paper, we introduce a twofold role for the public sector in the Goodwin (1967) growth cycle model. The government collects income taxes in order to: (a) invest in infrastructure capital, which directly affects the production possibilities of the economy; (b) finance publicly funded research, which augments the growth rate of labor productivity. We first focus on a special case in which labor productivity growth depends entirely on public research, and show that: (i) provided that the output-elasticity of infrastructure is greater than the elasticity of labor productivity growth to public R&D, there exists a tax rate τ∗ that maximizes the long-run labor share, but not a growth-maximizing tax rate; (ii) the long-run labor share is always increasing in the share of public spending in infrastructure, and (iii) the presence of public R&D is not enough to stabilize the distributive conflict. We then study a more general model with induced technical change where, as is well known in the literature, the distributive conflict is resolved in the long run. With induced technical change: (iv) the labor sharemaximizing tax rate is the same as in the special case; (v) the long-run share of labor is always increasing in the share of public spending in infrastructure, and (vi) maximizing growth requires to levy a tax rate in excess of τ∗.
CEO Compensation , Hedging , and Firm Value

This paper studies the relation between firm value and corporate hedging, with a focus on the managerial risk-taking incentives and the extent of hedging. Using a sample of U.S. oil and gas producers, we find a significantly negative relation between the extent of hedging and CEO risktaking incentives. This evidence indicates that hedging oil and gas price risk is likely caused by managerial risk aversion in this industry. More importantly, after control for the endogeneity between the executive compensation design and hedging policy, we show that firm value is negatively related to the extent of hedging. Our study has important policy implications on the executive compensation design for industries that face significant operating risks.
TRADITION AND DOGMA IN ROMANIAN ADVERTISING

The purpose of this paper is to reveal a controversial relationship between tradition and dogma in advertising, regarding the religious aspects which are developed as strategic ideas to better appeal to Romanian consumers. First of all, the research is driven by identifying different approaches of religious influence on a conservative market. Second, the dilemma of dogmatic vs. non-dogmatic features is also a matter for discussion of this compelling subject and constitutes the relationship between glocal, local and global in advertising from a cultural and religious view.
Lawrence Berkeley National Laboratory Recent Work Title Validation of Finite-Element Models of Persistent-Current Effects in Nb 3 Sn Accelerator Magnets Permalink

Persistent magnetization currents are induced in superconducting filaments during the current ramping in magnets. The resulting perturbation to the design magnetic field leads to field quality degradation, in particular at low field where the effect is stronger relative to the main field. The effects observed in NbTi accelerator magnets were reproduced well with the critical-state model. However, this approach becomes less accurate for the calculation of the persistent-current effects observed in Nb3Sn accelerator magnets. Here a finite-element method based on the measured strand magnetization is validated against three state-of-art Nb3Sn accelerator magnets featuring different subelement diameters, critical currents, magnet designs and measurement temperatures. The temperature dependence of the persistent-current effects is reproduced. Based on the validated model, the impact of conductor design on the persistentcurrent effects is discussed. The performance, limitations and possible improvements of the approach are also discussed.