Miracle-dz/UniFAR-FTUs huggingface dataset:
Gebelik döneminde HbA1c ve fruktozaminin glisemik kontrol belirteci olarak önemi ve bazı biyokimyasal

Objective: Controlling and monitoring the diabetes during pregnancy, because of the malformation, macrosomia and other complications is especially important. Our study is designed to investigate the reliability of the two most commonly used parameter is the hemoglobin A1c (HbA1c) and fructosamine during pregnancy. Also among our study group, serum total protein, albumin, vitamin B12, folic acid, glucose, insulin, ferritin and hemoglobin data were evaluated. Methods: The study groups are pregnant women (n=252; age mean: 27,761± 5/year) and control group (n=28; age mean: 28,61± 5,38/year) who are no additional health problems. Diabetic pregnant women number is 124 (consisted of 10 first trimester, 62 second trimester and 52 third trimester) and nondiabetic pregnant women number is 138 (consisted of 24 first trimester, 32 second trimester and 82 third trimester). All measurement data are obtained from hospital information system. Results: No statistically significant difference in any of the groups for HbA1c. It’s clearly observed that all the significant differences found for fructosamine occur depending on the level of albumin and fructosamine levels decreased progressively during the three trimesters. In our diabetic pregnant women group; although statistically make a difference; mean blood glucose values were below our expectations. Conclusion: Our study is support that fructosamine and HbA1c are unavailable for diagnosis and monitoring the gestational diabetes. However the lack of difference between the groups for levels of fructosamine and HbA1c; and blood glucose levels below our expectations in diabetic pregnant women group can be connected good diabetes control.
The Antiproliferative Properties of Uncaria tomentosa Willd. DC. extracts against Caco2 and HeLa Cancer Cell Lines

Introduction: Uncaria tomentosa is used in Central and South American folk medicine to treat a variety of diseases. It is particularly well known for treating cancer and studies have confirmed its activity against some carcinoma cell lines. However, to date, U. tomentosa extracts have only been screened against a limited panel of cancer cells. Methods: Solvent extracts were prepared from U. tomentosa inner bark and their antiproliferative activities against Caco2 and HeLa cancer cells were determined by an MTS based cell proliferation assay. Toxicity was determined using the Artemia franciscana nauplii bioassay. Results: Methanolic and aqueous U. tomentosa extracts were strong inhibitors of Caco2 and HeLa cell proliferation, with IC50 values generally below 1500 μg/mL. The methanolic extract was particularly effective, with IC50 values of 881 and 763 μg/mL against Caco2 and HeLa cells respectively. In contrast, the mid to lower polarity solvent extractions (ethyl acetate, chloroform and hexane) were less potent inhibitors of cell proliferation. Indeed, exposure of the Caco2 cells to the chloroform and hexane extracts produced proliferation levels equivalent to those of the untreated control. Cell imaging studies detected morphological features consistent with apoptosis in Caco2 cells exposed to the methanolic and aqueous U. tomentosa extracts, indicating that these extracts are functioning by cytotoxic mechanisms. All U. tomentosa extracts were nontoxic in the Artemia franciscana bioassay, with LC50 values substantially >1000 μg/mL. Conclusions: The antiproliferative activity of the U. tomentosa inner bark extracts against HeLa and Caco2 cancer cell lines indicates their potential in the treatment and prevention of some cancers.
Core Inflation Indicators for Saudi Arabia

This paper constructs and analyzes core inflation indicators for Saudi Arabia for the period of March 2012 to May 2014 using two alternative approaches: the exclusion method (ex food and housing/rent) and the statistical method. The findings of the analysis suggest that the ex food and housing/rent inflation is more volatile than the overall CPI inflation over the sample period. In contrast, the statistical core inflation is relatively more stable and less volatile. Moreover, the ex food and housing/rent inflation is only weakly correlated with headline inflation, whereas the statistical core inflation exhibits a stronger correlation. This combination of lower volatility and higher correlation with headline inflation makes the statistical method a much better choice for policymakers. From a monetary policy standpoint, using a bundle of core inflation measures, including both properly constructed exclusion and statistical methods, is more desirable, especially when variation across measures is widespread, as is the case in Saudi Arabia.
Computer assisted decision support in acutely ill patients. Application in glucose management and quantification of myocardial reperfusion

De basis van dit proefschrift zijn nieuwe computerprogramma's ter verbetering van patientenzorg en onderzoek. Het grootste deel van het proefschrift richt zich op analyse en verbetering van de glucoseregulatie van patienten die opgenomen zijn op een intensive care (IC) afdeling. Hiervoor is een computerprogramma (GRIP, glucose regulatie voor IC patienten) ontwikkeld dat adviezen geeft over regulatie van glucose (bloedsuikerspiegel) aan verpleegkundigen. Tevens is dit programma verder ontwikkeld om naast glucosespiegels ook kaliumspiegels te reguleren. Het reguleren van glucose is belangrijk omdat zowel bij patienten opgenomen op een intensive care afdeling als bij mensen met een acuut myocardinfarct verhoogde bloedglucosespiegels vaak voorkomen. Dit geldt niet alleen voor patienten met diabetes maar ook voor voorheen gezonde patienten. Op basis van uitgebreid experimenteel onderzoek en enkele klinische trials is het zeer aannemelijk dat strikte regulatie van glucosewaarden door middel van toediening van insuline nut heeft. Hoe deze behandeling precies uitgevoerd moet worden is echter nog grotendeels onduidelijk. Behandeling met insuline brengt het risico van te lage bloedsuikerspiegels (hypoglycemie) met zich mee, hetgeen zeer gevaarlijk kan zijn. Om hoge suikerwaardes te verlagen, zonder hypoglycemie te veroorzaken, moet de glucosespiegel regelmatig gecontroleerd worden, en na elke meting moet een actie volgen, meestal een aanpassing van de insulinepomp. De adviezen van het GRIP computerprogramma blijken bij meer dan 2500 patienten zeer veilig en efficient glucosespiegels te reguleren. Door het gebruik van GRIP zijn er relatief weinig glucosemetingen per patient per dag nodig, en dit spaart veel tijd van verpleegkundigen uit.
Performance analysis of two sensor data storages

Smart environments represent the next evolutionary development step in building, utilities, industrial, home, shipboard, and transportation systems automation. Like any sentient organism, the smart environment relies first and foremost on sensory data from the real world. Sensory data comes from multiple sensors of different modalities in distributed locations. The smart environment needs information about its surroundings as well as about its internal workings. Sensors generate data. Data should send to sink node for further information retrieval. In this paper we evaluate two of the proposed systems for sensor data storage in total data parameter received by sink node names SSW (Semantic Sensor Web) and SemSOS (Semantic Service Observation). They represent and store their data in semantically form. We show that SemSOS transmit more data through network so life time of network decreases rather than we use SSW framework.
Subsidence due to crack closure and depressurization of hydrothermal systems: a case study from Mt Epomeo (Ischia Island, Italy)

Levelling surveys carried out between 1990 and 2003 on the Mt Epomeo resurgent block (Ischia Island) record negative dislocations on its northern and southern flanks with a maximum subsidence rate of 1.27 cm yr−1. This deformation is not associated with the cooling, crystallization or lateral drainage of magma and cannot be explained by a pressure point or prolate ellipsoid source. Results from dislocation models and the available structural and geochemical information indicate that the subsidence is due to crack closure processes along two main ENE–WSW and E–W preexisting faults, which represent the preferred pathway of CO2 degassing from the hydrothermal system located beneath Mt Epomeo. The monitoring of the dislocations and CO2 flux along these faults could give useful information on the dynamics of the hydrothermal system.
Rigid Designation and Semantic Structure

‘Rigid designation’ is Kripke’s name for a concept that has been in the air at least since the development of quantified modal logics: (a token of) a designator is rigid if and only if it designates the same individual in every possible world in which the individual exists. Two seminal conclusions for which Kripke (, ) argues are that proper names are rigid designators, and that there are some deep semantic anities between proper names and various sorts of general terms. However, even though he does, at places, explicitly attribute rigidity to certain general terms, Kripke nowhere gives a definition of rigidity that applies to general terms. This presents a challenge: Precisely which general terms ought to be classified as rigid designators? More fundamentally: What should we take the criterion for rigidity to be for general terms? There is a considerable sub-literature, stretching back
HARMONIC SUPPRESSION CHARACTERISTIC OF A CPW-FED CIRCULAR SLOT ANTENNA USING SINGLE SLOT ON A GROUND CONDUCTOR

A CPW-fed circular slot antenna with a slot on a ground conductor is presented for harmonic suppression. The antenna has a multi-band rejection characteristic where the second and higher rejection bands are integer-multiple of the first band, and this is generated by inserting single slot on a ground conductor of the antenna. Good agreement between the simulated and measured results is reported and the integer-multiple notch bands can be adjustable by changing the length of the slot on the ground plane.
Digital Signature Approach for Image Authentication

The paper examines watermarking and digital signature based approaches for image authentication. It is shown that digital signature has a better performance at least in semi-blind watermarking case. Digital signature based method for image authentication and pixelwise tamper localization is proposed. The method is able to restore tampered pixels to initial value. Ill. 5, bibl. 10 (In English; summaries in English, Russian and Lithuanian).
Structural Behavior of Composite Sandwich Slab Panels

Concrete sandwich panel [CSP] is a relatively new and innovated form of construction. In the present study, it is consisting of a layer of light weight concrete [L.W. C], sandwiched between two outer layers of reinforced concrete which are connected together by truss reinforcement as shear connectors. An experimental study was conducted on ten slab panels, with three variables were investigated (thickness of the inner wythe, the strength of the outer wythe, and the type of light weight aggregate which used in the inner wythe) . When one of these variables was varied, the other two variables remain constant. The slab panels were tested as simply support under two point loads. The results, that obtained from the experimental program, indicated that the strength of the reference slab panels increased when the thickness was increased. This behavior can be seen when the thickness of the inner wythe for sandwich slab panels was increased. The strength was decreased when the concrete strength of the outer wythes increase for sandwich slab panels. The strength of the sandwich slab panel with the sawdust, which used as aggregate in the inner wythe, was greater than the strength of sandwich slab panel with polystyrene (styropor) or porcilenite. The maximum deflection and maximum slip for sandwich slab panel depend on the thickness of the inner wythe, the concrete strength of the outer wythes and the light weight aggregate which used in the inner wythe.
Factors Determining Internal Audit Quality: Empirical Evidence from Ethiopian Commercial Banks

Internal audit is an important part of the corporate governance structure within an organization. The central objective of this study is to investigate factors determining internal audit quality in Ethiopian commercial Banks. The study has adopted quantitative research approach by employing survey research as a strategy of inquiry. Survey for the quantitative strategy has been used through distributing self-administered questionnaires to 160 internal auditors’ cross-sectional of 15 commercial banks. The Multiple Regression (OLS) has been employed to regress the data obtained via a structured questionnaire of a 5-point Likert scale. The implication of this paper go to inform the members of corporate governance (or board of directors, audit committee, internal auditors and external auditors) to use the findings in to account in their interactions to better equip internal audit function for their role in corporate governance effectiveness. The results of the study indicate that internal auditors in Ethiopian commercial banks believe the performance, competence and use of information technology by internal auditors as significant factors affecting internal audit quality. As a descriptive and regression result shows “performance” is the highest determinant factor of internal audit quality, followed by “competence” and “Information technology” respectively. The study recommends that Ethiopian commercial banks must work to ensure the availability of the key factors to achieve the quality of internal audit function. Keywords : Competence; Ethiopia; Information Technology; Internal audit quality; Objectivity; performance
TIME-DOMAIN STRUCTURAL DAMAGE IDENTIFICATION: FROM A DICTIONARY LEARNING PERSPECTIVE

Structures inevitably deteriorate during their service lives. To accurately evaluate their structural condition, the methods capable of identifying and assessing damage in a structure timely and accurately have drawn increasing attention. Compared to widely-used frequency-domain methods, the processing of time-domain data is more efficient, but remains difficult since it is usually hard to discern signals from different conditions. In fact, the signal processing fields have observed the evolution of techniques, from such traditional fixed transforms as Fourier, to dictionary learning (DL). DL leads to better representation and hence can provide improved results in many practical applications. In this paper, an innovative time-domain damage identification algorithm is proposed from a DL perspective, using D-KSVD algorithm. The numerical simulated soil-pipe system is used for verifying the performance of the proposed method. The results demonstrate that this damage identification scheme is a promising tool for structural health monitoring.
A joint detection-estimation framework for analysing within-subject fMRI data

Abstract: In this paper, we review classical and advanced methodologies for analysing within-subject functional Magnetic Resonance Imaging (fMRI) data. Such data are usually acquired during sensory or cognitive experiments that aims at stimulating the subject in the scanner and eliciting evoked brain activity. From such four-dimensional datasets (three in space, one in time), the goal is twofold: first, detecting brain regions involved in the sensory or cognitives processes that the experimental design manipulates; second, estimating the underlying activation dynamics. The first issue is usually addressed in the context of the General Linear Model (GLM), which a priori assumes a functional form for the impulse response of the hemodynamic filter. The second question aims at estimating this shape which makes sense in activating regions only. In the last five years, a novel Joint Detection-Estimation (JDE) framework addressing these two questions simultaneously has been proposed in [59, 60, 102]. We show to which extent this methodology outperforms the GLM approach in terms of statistical sensitivity and specificity, which additional questions it allows us to investigate theoretically and how it provides us with a well-adapted framework to treat spatially unsmoothed real fMRI data both in the 3D acquisition volume and on the cortical surface.
Expression of Mmp-20 in Dental Germs of Human Fetus

En estudios realizados en animales de experimentacion se ha observado que la enamelisina (MMP-20) se expresa durante el desarrollo dental durante el estadio de secrecion tardio de la amelogenesis pero no en el esmalte maduro. El objetivo de la presente investigacion fue determinar la localizacion de MMP-20 en germenes dentarios humanos en las diferentes estructuras del organo del esmalte. Se analizaron 20 especimenes obtenidos de fetos humanos, efectuando la deteccion de MMP-20 por Inmunohistoquimica. Se observo inmunolocalizacion de MMP-20 desde el estadio presecretor en reticulo estrellado y estrato intermedio, asi como en porcion basal de ameloblastos; en el estadio secretor en reticulo estrellado, estrato intermedio, ameloblastos secretores, odontoblastos y papila dental. Los resultados de la presente investigacion muestran la localizacion de la MMP-20 en el desarrollo del germen dentario en humanos y aporta las bases para futuras investigaciones acerca del proceso de formacion de los organos dentales.
Survival and Growth of Mangrove Tree Seedlings in Different Types of Substrate on the Ajuruteua Peninsula on the Amazon Coast of Brazil

The present study investigated the growth and survival of seedlings of Rhizophora, Avicennia, and Laguncularia raised in three different substrates: mangrove soil, latosol, and sand. The study was based on an entirely random factorial design (3 × 3) × 3, with three tree species, three substrates, and three replicates. The experiment was conducted in a nursery installed in the municipality of Braganca, in the northern Brazilian state of Para. The seedlings were grown in 17 cm × 27 cm polyethylene containers. Survival was calculated based on the percentage of germinated propagules surviving after 270 days. Seedling heights were evaluated using an analysis of variance (ANOVA) and morphological parameters were compared using Tukey’s test. All three species were ready for replanting after 270 days. The R. mangle and A. germinans seedlings presented better rates of survival and growth on the substrates tested. All three species grew well in the substrates tested, and the production of seedlings in yellow latosol would appear to be the most effective approach.
The Relationship among Intellectual Capital, Social Capital and Human Resources Productivity of Staff in Sepah Bank Branches, Golestan Province, Iran

The aim of this study was to investigate the relationship among intellectual capital, social capital and staffs' productivity in branches of Sepah bank, Golestan province, Iran. The method of this research was descriptive- correlation. 185 staff of Sepah bank was participated in this research. They were chosen by simple randomized method. Data was collected using questionnaire and was analyzed using Pearson correlation and regression coefficient. Findings showed a high positive correlation between social capital dimensions, intellectual capital dimensions and productivity of human resources. Social and intellectual capital can be considered as one of the organizational capabilities and assets.
Mincer Equation, Power Law of Learning, and Efficient Education Policy

The basis for the empirical research on earnings determination is the Mincer equation. Individuals are assumed to make schooling decisions by maximizing earnings. Leisure costs of schooling and labour supply are neglected which has some empirically implausible implications. This paper shows a way of deriving a Mincer-type earnings function from the more standard assumption of utility maximization. The implications are less questionable. The approach allows one to analyse the efficiency of education policy in Ramsey's tradition. Distortive wage taxation is shown to provide reason for subsidizing education in effective terms. Second-best policy is confronted with empirical evidence on OECD countries.
Lycium barbarum L. (goji berry) fruits improve anxiety, depression-like behaviors, and learning performance: the moderating role of sex

The aim of this research was to investigate the effects of the methanol extract obtained from Lycium barbarum fruits on anxiety, depression-like behaviors, and spatial memory in Wistar albino rats. A total of 28 rats were selected, randomly assigned to four experimental groups, and tested by means of the open field and elevated plus maze tests for anxiety-like behaviors, the forced swim test for depression-like behaviors, and the Morris water maze test for spatial memory. The findings demonstrated that in the open field, L. Barbarum-administered rats spent more time at the center and showed more mobility and velocity than controls. In the elevated plus maze, L. Barbarum-administered rats spent more time in the open arms, spent less time in the closed arms, and showed more mobility and velocity. In the Porsolt test, L. Barbarum-administered rats showed less immobility. In the Morris water maze, L. Barbarum-administered rats took more time to find the platform. However, females were better at finding the platform than males. The methanol extract of L. Barbarum fruits decreased anxiety and depression-like behaviors and interacted with sex on spatial memory.
Anti-Spam Software for Detecting Information Attacks

In this paper the development of anti-spam software detecting information attacks is offered. For this purpose it is considered spam filtration system with the multilayered, multivalent architecture, coordinating all ISP's in the country. All users and ISPs of this system involved in spam filtration process. After spam filtering process, saved spam templates are analyzed and classified. This parameterizing of spam templates give possibility to define the thematic dependence from geographical. For example, what subjects prevail in spam messages sent from the certain countries? Analyzing origins of spam templates from spam-base, it is possible to define and solve the organized social networks of spammers. Thus, the offered system will be capable to reveal purposeful information attacks if those occur.
Towards on Cloud Computing Standardization

Several computing paradigms have promised to deliver this computing vision, of which the latest one is known as Cloud computing. The term of cloud denotes the infrastructure as a “Cloud” from which businesses and users are able to access applications from anywhere in the world on demand. Cloud Computing is a new paradigm for the provision of computing infrastructure, and provides all the resources including networks, servers, storage, applications, and services as a service. This paradigm shifts the location of this infrastructure to the network to reduce the costs associated with the management of hard-ware and software resources. This paper intends to provide comprehensive review on Cloud computing in terms standardization in de jure standardization organizations such as ITU-T and JTC1, and de facto standardization organizations.
Mediterranean Forests in Transition ( MEDIT ) : Deliverable No 9 Title : Report on small scale simulation results

Due to Project Month 36, Date: 31/3/2015 Summary This report presents the finding of work done in Work Package 6, activity 6.1 of the MEDIT Project entitled "Small scale simulations of forest dynamics under baseline and climate change conditions". This is an integration of work made in different Working Packages (WPs) and in particular brings together the developments of the small scale GREFOS model (in WP2 and WP6), the tree rings analysis (WP1 and WP4) and the functional traits data measured (in WP4) and analysed (in WP5). The scientific aim of this deliverable is identify potential shifts in the dynamics of some Mediterranean forest to climate change. The working model is the GREFOS forest gap dynamics simulator as further developed and parameterised during the MEDIT project.