Miracle-dz/UniFAR-FTUs huggingface dataset:
UPPERMOST CRETACEOUS CALCAREOUS NANNOFOSSILS IN RED PELAGIC SEDIMENTS ( ROMANIAN CARPATHIANS )

Calcareous nannofossil investigations were carried out on successions cropping out in an expanded section situated in the Romanian Carpathians bend area (nearby the Pucheni village, Dâmbovița River basin). Nannofossil biostratigraphy indicates a Santonian late Maastrichtian age for the investigated deposits. The studied red and variegated sediments are correlated with similar deposits occurring in the bend region of the Romanian Carpathians.
VERTICAL STRUCTURE OF SYNOPTIC SCALE CYCLONES CAUSING FLOOD EVENTS IN THE ISLAND OF CRETE

In this study, an attempt is made to study synoptic scale cyclones causing flood events occurring in Crete Island, during the period 1990 – 2010 and explore their vertical structure. Furthermore, a comparison is made with the population of cyclones passing over Crete during the same period. The atmospheric circulation conditions during the flood events were examined using the 0.5 x 0.5 spatial resolution of ERA-INTERIM reanalysis data. The Melbourne University Cyclone Tracking Algorithm (MS scheme) was employed to examine the genesis, tracks, radius, depth and intensity of these cyclones while the vertical profile of the cyclones was examined with the aid of the vertical tracing software, VTS (Vertical Tracking Scheme). The classification of the tracks according to their origin domain reveals that the vast majority originate mainly over the North African coasts and South Italy, contrasting the preference of all cyclones passing over Crete to develop within Southeast Mediterranean. Additionally, cyclones associated with the flood events are more intense than the cyclonic population and catch their minimum pressure near Crete, with north westward tilting with height. Furthermore, it was verified that about 84% of the cyclones extend up to 500hPa. The cyclones mainly appear as closed systems at 500 hPa, revealing characteristics of vertically organized baroclinic systems.
Legendre Wavelets Based Approximation Method for Cauchy Problems

In this paper, we study the Legendre wavelets based approximation method for the solution of Cauchy problems. The properties of Legendre wavelets are used to reduce the problem to the solution of algebraic equations.The function approximation has been chosen in such a way that the connection coefficients can be identified easily and it converges to the exact solution. Illustrative examples have been discussed to demonstrate the validity and applicability of the technique. Mathematics Subject Classification: 35E15, 35F05, 35F10
Scaling of structural and functional variables in the respiratory system.

Dependencies in the Respiratory System In his companion review C. R. Taylor (38) concludes that the capacity for oxidative metabolism in the mitochondria sets the limit for energy supply to muscles. Consequently, to supply O2 to the mitochondria at the rate required by oxidative phosphorylation is a critical process that involves the entire respiratory system, from the lung through the circulation to the muscle microvasculature and finally to the mitochondria (Figure 1). At all levels, this process is determined by both structural and functional features. In a crude way one can say that the conductance terms of the equations given in Figure 1 are affected importantly by structural properties, whereas functional effects predominate in setting the driving forces for O2 flow. The steady-state rate of O2 flow through the system is set by the rate at which O2 is consumed in the mitochondria, which under conditions of maximal exercise is essentially that in mitochondria of the skeletal muscle. In this review I examine how the different parts of the respiratory system respond to the variations in the rate of energetic demand observed in the animal kingdom. I am particularly concerned with design features of each part because they establish the "stable" framework within which functional vari­ ables can operate. Structural features also have an impact on the efficiency with which the system operates. To express this notion in general terms we have proposed the hypothesis of syrnmorphosis (47), which postulates that the structures supporting a function should be no larger than needed to satisfy the functional demand at the limit of performance. Since symmorphosis should result from "regulation of morphogenesis," this hypothesis depends on the
Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks

Most visualization recommendation systems predominantly rely on graphical previews to describe alternative visual encodings. However, since InfoVis novices are not familiar with visual representations (e.g., interpretation barriers [GTS10]), novices might have difficulty understanding and choosing recommended visual encodings. As an initial step toward understanding effective representation methods for visualization recommendations, we investigate the effectiveness of three representation methods (i.e., previews, animated transitions, and textual descriptions) under scatterplot construction tasks. Our results show how different representations individually and cooperatively help users understand and choose recommended visualizations, for example, by supporting their expect‐and‐confirm process. Based on our study results, we discuss design implications for visualization recommendation interfaces.
Creating English and Japanese Twitter Corpora for Emotion Analysis

This paper describes the principles used to collect open English and Japanese Twitter corpora for emotion analysis. We create a set of eight emotions, based on Ekman and Plutchik categories, and applicable both to English-speaking and Japanese cultures, ensuring that each tweet in our subset of TREC’2011 collection is coded independently by three individuals. We analyse emotions, contained in the resulting corpora, and briefly discuss obtained results. This work will provide valuable insights for researchers interested in emotion analysis of micro-blogosphere and comparative studies of English and Japanese tweets.
The remote operation and environment reconstruction of outdoor mobile robots using virtual reality

This paper presents a teleoperation system for controlling multiple semiautonomous mobile robots using the latest virtual reality (VR) technologies. Compared to direct traditional teleoperation of the robots (with a joystick and video display etc.), in this system the user operates the robots in a virtual world, where the real environment is reconstructed and streamed by the robots. The user can view and inspect the situation and collect data from a suitable perspective in VR as well as, for example, being able to enlarge or shrink himself for closer study. One of the biggest advantages of the developed system is that the user does not suffer from motion sickness generated due to latency in traditional teleoperations, where only a camera video stream is provided for the user directly. Also, with the implemented indirect control that uses the waypoints of each robot, one user can operate multiple robots at the same time as each robot is executing a defined path semiautonomous. The system described in this paper is a combination of the latest VR consumer devices, time-of-flight depth cameras, and adaptive network communication, used for scaling the amount of information transmitted. Such a system allows the operator to control both an aerial robot and a ground robot. In this work, the developed system is used for controlling multi-robots (a UAV-UGV combination) and a series of tests conducted in outdoor Finnish conditions during summer, fall, and winter 2016 and 2017.
UNDERSTANDING AND MANIPULATING GRAPE BERRY RIPENING

Despite the importance of grape berry ripening to the various grape industries, and a considerable literature, ripening and its control are still poorly understood. We are exploring both the control over ripening exerted by endogenous hormones and the means to manipulate ripening through the use of plant growth regulators. Grape berry ripening is a complex process accompanied by dramatic changes in gene expression, physical parameters, such as weight, and metabolism. Recently, the use of microarray analysis has demonstrated how extensive the changes in gene expression that occur at around the time of ripening onset (véraison) are. In broad terms the expression of a large number of genes is either up-regulated or down-regulated at véraison. These changes appear to be coordinated and regulated by plant hormones. In contrast to climacteric fruit, such as bananas and tomatoes, the ripening of nonclimacteric fruit, e.g. strawberries and grapes, appears to be less dependent on ethylene. The involvement of ethylene in grape berry ripening remains unclear but there seems little doubt that it can at least enhance anthocyanin accumulation in berry skins. In addition to ethylene there are two other hormones for which there is evidence of a positive role in the control of ripening. The application of abscisic acid (ABA) and brassinosteroids (BRs) can advance the onset of grape berry ripening (Symons et al. 2006, Wheeler et al. 2009). In the case of BRs further evidence for their involvement is provided by the retardation of ripening in berries treated with brassinazole, an inhibitor of BR biosynthesis. The concentrations of both ABA and castasterone (the BR present in grapes) are elevated in flowers and young berries but decrease to low levels before véraison (Fig.1). At véraison the levels increase rapidly after which they peak and decline towards harvest. This pattern of accumulation is consistent with their having a role during ripening.
Communications in Mathematical Physics Differing Averaged and Quenched Large Deviations for Random Walks in Random Environments in Dimensions Two and Three

We consider the quenched and the averaged (or annealed) large deviation rate functions Iq and Ia for space-time and (the usual) space-only RWRE on Zd . By Jensen’s inequality, Ia ≤ Iq . In the space-time case, when d ≥ 3 + 1, Iq and Ia are known to be equal on an open set containing the typical velocity ξo. When d = 1 + 1, we prove that Iq and Ia are equal only at ξo. Similarly, when d = 2 + 1, we show that Ia < Iq on a punctured neighborhood of ξo. In the space-only case, we provide a class of non-nestling walks on Zd with d = 2 or 3, and prove that Iq and Ia are not identically equal on any open set containing ξo whenever the walk is in that class. This is very different from the known results for non-nestling walks on Zd with d ≥ 4.
Surgical management of zygomatic complex fractures in a major trauma centre

Aim: To analyse the epidemiology, aetiology, and surgical management of zygomatic complex (ZMC) fractures in our major trauma centre, and to compare the number and location of fixation points and surgical access in our patient cohort with the literature. Methods: Retrospective analysis of all operative cases (Open Reduction and Internal Fixation) of zygomatic complex fractures over a one year period (2016). Results: A greater proportion of patients in our cohort (54%) were treated with one-point fixation compared to the literature, with the zygomaticomaxillary (ZM) buttress being the most popular fixation point (90%). ZM buttress and frontozygomatic (FZ) suture were the commonest choices for two-point fixations (70%). Buccal sulcus incision was used for ZM access in all cases. For FZ access, upper blepharoplasty incision was the most common (56%). For infra-orbital margin access, transconjunctival incision was the most common (75%). There was no significant association between number of fixation points and presence of associated injuries, impact of injury, or time to operation. There were no post-operative complications. Conclusion: A greater proportion of patients in our cohort were successfully treated with one point fixation compared to the literature, and fewer patients underwent orbital floor exploration and repair in our cohort compared to the literature. This study highlights the ongoing variation in the surgical management of ZMC fractures.
Survey on Automated LEGO Assembly Construction

LEGO has been very popular toy in the world because it is attractive and fun to play with and stimulates one's creativity by providing means to conveniently assemble a variety of interesting shapes using the limited types of given bricks. However, it is hard for the beginners to design and assemble complex models they desire to make without instructions. Building a LEGO assembly manually usually requires a significant amount of trial-anderror. LEGO company therefore presented the LEGO construction problem in 1998 and in 2001. The problem statement is "Given any 3D body, how can it be built from LEGO bricks? " In this paper we will investigate the current research efforts to address the LEGO construction problem. We will review the problem definition, formulation, and a variety of approaches to solve the problem. We will discuss the data representations for input 3D polygonal models and the LEGO assembly structures, cost functions that will guide the search for the optimal solution, and various solution methods.
Admission blood glucose and short term survival in primary intracerebral haemorrhage: a population based study

Background: The role of admission blood glucose level on the prognosis of patients with intracerebral haemorrhage has not been elucidated. Objective: To examine this association on the basis of an epidemiologically representative patient material. Methods: 249 500 people living in the catchment area of the Central Hospital of Central Finland. The diagnosis of ICH was established if verified by cranial computed tomography (CT) or autopsy. Results: Of the 416 patients who fulfilled the diagnostic criteria, 30 died before admission and 386 were admitted to the Central Hospital. All 329 patients (290 nondiabetics and 39 diabetics) with both admission blood glucose and cranial CT data were included in the study. The mean blood glucose level was 10.6 mmol/l for nondiabetics who died on the day of onset, 8.6 mmol/l for those dying during days 1 to 28, and 6.8 mmol/l for the 28 day survivors. The corresponding figures for diabetics were 13.9 mmol/l, 12.5 mmol/l, and 9.3 mmol/l. In both nondiabetics and diabetics, patients who died had significantly higher mean glucose than the 28 day survivors (p<0.0001 versus p = 0.029). However, blood glucose of the surviving diabetics was as high as that of the deceased nondiabetics (9.3 mmol/l versus 9.1 mmol/l). In nondiabetics, admission blood glucose was associated with parameters signifying severe stroke; disturbed consciousness, large haematoma volume and shift of cerebral midline structures, and high admission mean arterial pressure. In logistic regression analysis, high admission blood glucose in nondiabetics was a significant predictor of death during the first 28 days of onset (odds ratio 1.22, 95% CI 1.07 to 1.40). Conclusions: High admission blood glucose predicts increased 28 day case fatality rate in both nondiabetic and diabetic patients with ICH. Because high admission blood glucose was associated with markers of severe stroke, we are inclined to support the stress theory; high admission blood glucose is the result of a serious ICH.
Galangin Suppresses Renal Inflammation via the Inhibition of NF-κB, PI3K/AKT and NLRP3 in Uric Acid Treated NRK-52E Tubular Epithelial Cells

Renal inflammation can result in renal injury. Uric acid (UA) is the final product of purine metabolism in humans and because of the lack of urate oxidase, UA may accumulate in tissues, including kidney, causing inflammation. Galangin was isolated from a traditional Chinese medicine plant and possesses several beneficial effects, working as an anti-oxidant, anti-mutagenic, anti-tumor, anti-inflammatory, anti-microbial, and anti-viral agent. Therefore, this study aimed at investigating the molecular mechanism of galangin in the attenuation of UA induced renal inflammation in normal rat kidney epithelial cells NRK-52E. Our findings suggested that galangin treatment efficiently protected NRK-52E cells against UA induced renal inflammation by decreasing tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-18, prostaglandin E2 (PGE2), and nitric oxide (NO) release, and it inhibited nitric oxide synthase (iNOS), prostaglandin endoperoxide synthase 2 (PTGS2), TNF-α, IL-1β, and IL-18 mRNA expression. In addition, galangin was not exerting any cytotoxicity at the concentrations that were effective against inflammation as assessed by CCK8 assay. Moreover, western blotting showed that galangin treatment effectively inhibited nuclear factor-kappa B (NF-κB), phosphatidylinositol 3 kinase (PI3K)/protein kinase B (AKT) and nucleotide-binding domain- (NOD-) like receptor protein 3 (NLRP3) signaling pathway activation. Taken together, these findings suggested that galangin plays a pivotal role in renal inflammation by suppressing inflammatory responses, which might be closely associated with the inhibition of NLRP3 inflammasome, NF-κB and PI3K/AKT signaling pathway activation.
Extracorporeal Regional Complexing Haemodialysis Treatment of Acute Inorganic Mercury Intoxication

A 70-year-old white female presented approximately 24 h after ingesting three 475 mg tablets (1.425 g) of mercuric chloride in a suicide attempt. Acute renal failure necessitated the initiation of haemodialysis approximately 4 d after the ingestion. Treatment with BAL (2,3-dimercaptopropanol) resulted in only small increases in mercury output into dialysate. A new procedure involving the extracorporeal infusion of the chelating agent dimercaptosuccinic acid (DMSA) into the arterial blood line during haemodialysis was initiated. This procedure of Extracorporeal Regional Complexing Haemodialysis (ERCH) had been effective in increasing methylmercury removal in patients poisoned by contaminated grain. The first DMSA-ERCH procedure was performed 6 d after poisoning. There was a dramatic increase in mercury output into the dialysate. During three treatment sessions of 80 min each, 1189 μg of mercury were removed from the patient. The dialysed mercury represented the only mercury output since the patient was anuric and not producing faeces. DMSA-ERCH appears to be much more effective than BAL and haemodialysis in the treatment of acute inorganic mercury poisoning. The long interval between poisoning and initiation of treatment probably contributed to the patients ultimate demise, 28 d after poisoning. Efficacy of the DMSA-ERCH procedure for inorganic mercury poisoning is likely to be improved as the interval between exposure and treatment is reduced.
ENSEMBLE FUZZY SUPPORT VECTOR MACHINE CLASSIFIER BASED ON MAXIMUM SPANNING TREE FOR BIG DATA ANALYTICS

Today the buzz word in information technology is big data. Classification is one among the thrust research problem in such big data and its corresponding application scenarios. This research work makes use of an ensemble fuzzy support vector machine in order to perform the classification task. Maximum spanning tree is used for feature selection among the big data. KDD Cup 99 is multivariate dataset which consists of 40, 00,020 instances with 42 attributes chosen for evaluating the performance of the proposed work. Simulation results show the proposed ensemble classifier. This paper is organized as follows. Section 1 discusses on the introduction to big data along with the scope of research. Section 2 briefs the related works. Section 3 presents the proposed research work. Section 4 portrays experimental results. Section 5 concludes the thesis with future scope of research work.
The intracellular interactions of the L 1 family of cell adhesion molecules

The L1 family of CAMs (cell adhesion molecules) has long aroused the interest of researchers, but primarily the extracellular interactions of these proteins have been elucidated. More recently, attention has turned to the intracellular signalling potentiated by transmembrane proteins and the cytoplasmic proteins with which they can interact. The present review brings up to date the current body of published knowledge for the intracellular interactions of L1-CAM family proteins and the potential importance of these interactions for the mechanisms of L1-CAM action.
Building on the recovery approach : the development of a conceptual model of service design for carers in mental health

Abstract Carers’ views about their role in recovery are under-researched, and studies investigating their needs are underdeveloped. In this study, participatory action research was used; I was supported by a steering group of eight stakeholders to co-produce a training programme on recovery and data collection methods to explore the meaning of recovery for carers. The programme was delivered by me, an expert-by-experience with a diagnosis of schizophrenia, and a carer of her son with a similar diagnosis, to a group of eleven participants. Mainly qualitative data was collected together with supplementary quantitative socio-demographic data from the participants. Selected findings based on the carers’ discussions are presented which focus on how the relationship between carers and professionals can most effectively facilitate service user recovery. Issues of information exchange between carers and professionals and the impact of patient confidentiality are highlighted, the nature of recovery practice is considered, and the participants’ need to be regarded as ‘experts’ is addressed. A conceptual model of service design based on a recovery-oriented ‘triangle of care’ is presented. The potential implementation of this model in the current UK mental health service context is considered with the need for co-production between all stakeholders to ensure its development.
Determination of Human Physiological State by Multimodal Biometric Device

The important problem of human psychophysiological state recognition is studied. An integrated hardware–software setup has been developed to achieve automatic assessment of the affective status of a human. Several signal processing techniques are applied to the collected signals to extract the set of the most relevant in the physiological responses features. The support vector machine was used as a classifier. As a result 93.4% functional state prediction accuracy was obtained.
FACTORS AFFECTING THE CONSUMER PREFERENCE TO BUY ONLINE : AN EMPIRICAL STUDY ON STUDENTS OF PUNJAB UNIVERSITY , LAHORE

This study examines why people still hesitate to shop online and specifies four factors that influence the consumers’ decisions to buy from an online store or not. Quantitative study has been conducted to test the result from the data which was collected through a survey from 106 students of University of the Punjab, Lahore. Our regression results show that only two variables i.e. convenience and risk were found significant, effecting the online shopping preference of consumers. Whereas the other two factors cost and enjoyment are not quite significant to influence the consumer decisions about whether to shop online or not.