Miracle-dz/UniFAR-FTUs huggingface dataset:
Decomposing the effect of color on memory: How red and blue affect memory differently

Color has been shown to have a beneficial effect on memory in the general population and in some clinical populations, such as those with dementia and autism. Many factors within the effect of color on memory have been tested, however the differences among colors has been largely ignored. This study aimed to close this gap by comparing the effects of red, blue, and black on recognition memory. In addition, this study was designed in a way that could help test one of the main theories on how color enhances memory, the attention and arousal theory. This theory posits that the effect of color is due to increased attention and arousal, and would predict a larger beneficial effect when using red due to higher amounts of attention and arousal. The experiment included 48 male and female participants, who viewed object pictures in luminancematched red, blue, and black. The participants were later tested on their memory for the objects in a recognition memory test. Results indicated that participants had significantly higher accuracy for red objects than for blue objects, and also had a more conservative response bias for red objects than for blue or black objects. These results indicate that there is a difference in the effect on memory depending on the color. The results also supported the theory of attention and arousal, providing further understanding on how this process works. This knowledge can help researchers and clinicians by enabling them to take better advantage of the effect of color on memory. Decomposing the effect of color on memory 3
Morphometricanalysis of Infra Orbital Foremen

Aim: The AIM of this study is to compare morphometric measurements of the infraorbital foramen in dry Indian skulls. Objective: To assess the dimensions and position of the infra orbital foremen and to conclude the size of the foramen using Dry Indian skulls. Background: Analyzing the variability in position, shape, size and incidence of the infraorbital foramen in Indian dry skulls.The vertical and horizontal dimensions were also measured. All measurements were taken with a compass transferred to calipers and analyzed statistically.The infraorbital foramen is an opening in the maxillary bone of the skull located below the infraorbital margin of the orbit (eye socket). It allows passage for the infraorbital artery, vein, and nerve which are branches of the maxillary branch (V2) of the trigeminal nerve (CN V). Materials and methods: Twenty dry human adult skulls were examined at the Department of Anatomy, saveetha dental college
WHY DOES SOCIAL CONTEXT MATTER?Integrating Innovative Technologies with Best Practice Models for Public and Behavioral Health Promotion

In this paper we will present a framework that is intended to guide synthesis of different theoretical perspectives for the purpose of developing strategies for integrating IT use in diverse social settings. First, we will briefly review existing theoretical models grounded in behavioural science; and present our company’s approach for development of products using technology innovation that take in account the individual, organizational and contextual community characteristics. Secondly, we will illustrate this approach with three case study examples in the fields of public/behavioral health and education. Finally, we will conclude with theoretical and practical considerations that can be used by IT developers to maximize adoption and implementation of innovative technologies.
Quantum Dot Attachment and Morphology Control by Carbon Nanotubes

Novel applications in nanotechnology rely on the design of tailored nanoarchitectures. For this purpose, carbon nanotubes and nanoparticles are intensively investigated. In this work, we study the influence of nonfunctionalized carbon nanotubes on the synthesis of CdSe nanoparticles by means of organometallic colloidal routes. This new synthesis methodology not only provides an effective path to attach nanoparticles noncovalently to carbon nanotubes but represents also a new way to control the shape of nanoparticles.
The diffraction of light by quasiperiodic ultrasound

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. The diffraction of light by quasiperiodic ultrasound Rémy Mosseri, Francis Bailly
Classification of Data Using LAD

One basic and important part in data analysis is data classification. Data mining is a technique used in various domain to give meaning to the available data classification is a data mining (Machine learning) technique used to predict group membership for data instances. The proposed approach is for producing fast and accurate data classification, learning from small set of record which is already classified. The concept is based on Logical analysis of data(LAD) framework, LAD is enriched with information obtained from statistical consideration on the data. The accuracy of the proposed approach is compared to the LAD algorithm, of support Vector machine on publicly available datasets of UCI repository.
Keyword Based Speech Synthesis to Control Activities of Mobile Robot

: Human-Machine Interface (HMI) is a part of machine which handles the Human-Machine Interaction; machines can be interacted using either Speech Recognition, Gestures or Brain-Machine Interface etc. In this paper a novel idea of controlling the activities of Mobile robot using Speech Recognition has been proposed. This approach is named as Keyword based Speech Recognition because certain set of keywords are used to control the mobile robot.
Identifying Variations Within Unstable Regions of the Genome Reveal Autism Associated Patterns

Autism is a collection of neurodevelopment and abnormal behaviors which can be characterized by social isolation, language deficits and repetitive or stereotyped behaviors. It is a lifelong disorder that starts at early childhood and becomes apparent before three years old up to adulthood that ranging in severity from case to case. Autism spectrum disorder (ASD) has received a great deal of attention in recent years since the apparent prevalence of children with this spectrum of neurological and behavioral deficits is on the rise. It is currently estimated to be approximately 1 in 150 children based on a 14 state survey conducted by the Centers for Disease Control (CDC) in the United States of America (Kuehn, 2007) and it is predominately in males with a ratio of approximately of 4 males to 1 female (Fombonne, 2003). While it is hotly debated in both the lay and academic communities as to whether ASD incidence is truly increasing and not just a function of increased reporting and changes in diagnostic criteria, it is uncontested that the number of children diagnosed with ASD presents an important pediatric health problem. The social and economical impacts on individuals with ASD and their families as well as the society maybe considerably reduced if early identification and diagnosing can be achieved using simple and accurate approach. Although it is initially described in the 1940s, the exact etiology and pathology of ASD remains rudimentary and challenging. A number of studies have reported links between the development of the ASD and various factors such as genetics, environmental, immunological, nutritional and neurological. It is likely to result from a combination of these factors. Different methodologies have been proposed to identify and diagnose ASD using different criteria. The autism diagnostic observation schedule (ADOS) is a protocol consists of a series of structural tasks that involve social interactions used to diagnose and assess ASD. Others are using functional magnetic resonance imaging (f-MRI) to scan the brain as pattern recognition method of the defected neurons in the autistic individuals. However, these methodologies depend on the interactions between the examiner and the patient. On the other hand, studying the function of the biological system provides alternative way to embrace the complexity of ASD. Although the neurobiological and genetics basis of ASD and related disorders is unclear, multiple lines of evidence have
A Novel Framework and Enhanced QoS Big Data Protocol for Smart City Applications

Various heterogeneous devices or objects will be integrated for transparent and seamless communication under the umbrella of Internet of things (IoT). This would facilitate the open access of data for the growth of various digital services. Building a general framework of IoT is a complex task because of the heterogeneity in devices, technologies, platforms and services operating in the same system. In this paper, we mainly focus on the framework for Big Data analytics in Smart City applications, which being a broad category specifies the different domains for each application. IoT is intended to support the vision of Smart City, where advance technologies will be used for communication to improve the quality of life of citizens. A novel approach is proposed in this paper to enhance energy conservation and reduce the delay in Big Data gathering at tiny sensor nodes used in IoT framework. To implement the Smart City scenario in terms of Big Data in IoT, an efficient (optimized in quality of service) wireless sensor network (WSN) is required where communication of nodes is energy efficient. Thus, a new protocol, QoS-IoT(quality of service enabled IoT), is proposed on the top layer of the proposed architecture (the five-layer architecture consists of technology, data source, data management, application and utility programs) which is validated over the traditional protocols.
The Evolution of Human Skin and Skin Color

▪ Abstract Humans skin is the most visible aspect of the human phenotype. It is distinguished mainly by its naked appearance, greatly enhanced abilities to dissipate body heat through sweating, and the great range of genetically determined skin colors present within a single species. Many aspects of the evolution of human skin and skin color can be reconstructed using comparative anatomy, physiology, and genomics. Enhancement of thermal sweating was a key innovation in human evolution that allowed maintenance of homeostasis (including constant brain temperature) during sustained physical activity in hot environments. Dark skin evolved pari passu with the loss of body hair and was the original state for the genus Homo. Melanin pigmentation is adaptive and has been maintained by natural selection. Because of its evolutionary lability, skin color phenotype is useless as a unique marker of genetic identity. In recent prehistory, humans became adept at protecting themselves from the environment through clothin.
The 7 th Environment Action Programme: Reflections on sustainable development and environmental policy integration

The main aim of this ESDN Quarterly Report (QR) is to investigate the recently adopted 7 th Environment Action Programme (EAP) of the European Union, which is the European Union’s main strategy for environmental policy and, in particular, environmental policy integration. In this respect, the 7 th EAP builds on existing policy initiatives, such as the Europe 2020 Strategy and the renewed European Sustainable Development Strategy, and aims to tackle environmental challenges which should help achieve long-term sustainable development goals. To this context, this QR provides an analysis to investigate the 7 th EAP with respect to the concepts of sustainable development and environmental policy integration. In the first chapter, in order to better understand the logic of environmental policy and how it is linked to sustainable development the QR explores the underlying concept of natural resource and and its The second chapter provides an overview of the most pressing environmental challenges Europe is facing by drawing on environmental monitoring data, and follow up of objectives, targets and policy implementation. The indication for urgent action of environmental impacts informed the assessment of the previous 6 th EAP and, furthermore, mirrored with new aspects taken up in the 7 th EAP. This third part of the QR is dedicated to the analysis of the 7th EAP, undertaking by applying three lenses: a conceptual and thematic one with regard to natural resource and environmental management; a she second lens refers to the way environmental policy integration has been approached in the 7th EAP; in addition, we highlighted what is the added-value when applying a sustainable development (SD) perspective. In the concluding forth chapter, we shed light on 7 th EAP’s contribution to sustainable development and where critical ambiguities with respect to environmental policy integration and sustainable development exist.
Pacific herring spawn events influence nearshore subtidal and intertidal species

As intermediaries between the bottom and top of food webs, forage fish fuel a diversity of coastal consumers and are of socioecological importance throughout the world’s oceans. Many forage fish are migratory, but despite their recognized importance, relatively little is known about their role in providing spatial subsidies, which are the movements of energy, material, and organisms across ecosystems. Until recently, spatial subsidies associated with Pacific herring Clupea pallasii, a dominant migratory forage fish that spawns in subtidal and intertidal zones, received little scrutiny. Building on research that traced links between herring spawns and coastal ecosystems, we used stable isotopes of carbon (δ13C) and nitrogen (δ15N) to assess whether herring spawning events influenced isotopic signatures of 10 macrophyte and invertebrate species across beaches where spawning did or did not occur. Overall, species collected from spawning beaches had significantly greater δ15N levels (general linear mixed model parameter estimate = 1.58 ± 0.17 SE, F1,370 = 83.77, p < 0.001); no significant effects were detected for δ13C (parameter estimate = 0.03 ± 0.23 SE, F1,343 = 0.01, p = 0.914). In terms of total nitrogen, macrophytes from spawning beaches had significantly elevated concentrations (parameter estimate = 5.03 ± 0.94 SE, F1,180 = 28.71, p < 0.001). Using directional statistics, mean angles of isotopic change differed significantly between species collected from spawning and non-spawning beaches (Watson-Williams F-test; F1,48 = 10.44, p = 0.002). Our study identifies multiple species as recipients of herring-derived nutrients at spawning events, providing additional evidence of the broad ecological influence of Pacific herring.
An Iterative Multilevel Method For Computing Wavefields In Frequency-domain Seismic Inversion

We describe an iterative multilevel method for solving linear systems representing forward modeling and back propagation of wavefields in frequency-domain seismic inversions. The workhorse of the method is the so-called multilevel Krylov method, applied to a multigrid-preconditioned linear system, and is called multilevel Krylov-multigrid (MKMG) method. Numerical experiments are presented for 2D Marmousi synthetic model for a range of frequencies. The convergence of the method is fast, and depends only mildly on frequency. The method can be considered as the first viable alternative to LU factorization, which is practically prohibitive for 3D seismic inversions.
Multi‐scale thermal pattern monitoring of a large lake (Lake Geneva) using a multi‐sensor approach

The applicability of satellite imagery products from different sensors (AVHRR‐derived multi‐channel sea surface temperature (MCSST), MODIS sea surface temperature (SST) products 5‐Min L2 Swath 1 km and Landsat TM band 6 thermal signature) for the comprehensive monitoring of temperature and its temporal patterns over a large lake is tested in this study. The coverage of cloud‐free satellite data for Lake Geneva is reported throughout a year and, more specifically, during a 13 day period in summer 2003. In a second step, we demonstrate the feasibility of the AVHRR/MODIS imagery to discern day and night temperature patterns, by generating day and night climatologies and various spatial statistics over the 13 day period. The different day and night surface thermal patterns observed by satellite imagery could be linked to the thermal structure existing in deeper water using the concept of the diurnal decoupled layer. The forcing of the persistent patterns, two warm cores divided by a saddle‐shaped cold anomaly, is explained by wind periodicity and insolation conditions. The patterns can be matched to features postulated by findings of different limnologists in the past. Other surface temperature related phenomena such as water upwelling and downwelling and the occurrence of plumes are related to meteorological and hydrological events. The lakewide average lake surface water temperature (LSWT) trends for day and night during the study period are roughly parallel. A sudden loss of stored heat can be explained by episodes of long fetch, synoptic wind (bise) that interrupted the predominant breeze regime.
Table ( 1 ) Effect of two different doses of oseltamivir on male and female mice on mitotic index ( M . I . )

Seventy pregnant female mice were divided equally into control and three treatment groups D1; D2; D3 represent the three stages of pregnancy, each treated group subdivided equally into two group (TD; OD). Animals of treatment groups (TD1, TD2, TD3) and (OD1, OD2, OD3) were given daily by oral route a therapeutic dose (2 mg/kg BW) and ten fold dose (20 mg/kg BW) of oseltamivir phosphate respectively for the period of trimester study (stage 1, 2 and 3) respectively. The prenatal developmental effect showed significant increase in number of dead and resorbed fetuses with significant decrease in gestation period, gestation index and fertility index, the postnatal effects showed significant decrease in viability index, lactating index and weight gains of suckling pups. The cytogenetic effect showed significant increase in mitotic index of both dosed male and female mice of stage one at both doses of oseltamivir, While the cytogenetic effect on pups showed significant increase of mitotic index at over dose with significant decrease at therapeutic dose.
304637/R2 1 Emerging Science Review Full title: Contemporary aspects of the biology and therapeutic regulation of the microsomal triglyceride transfer protein Short title: Hooper, MTP inhibition

The microsomal triglyceride transfer protein (MTP), the product of the MTTP gene, is essential for the assembly and secretion of apolipoprotein (apo) B-containing lipoproteins, but when defective causes abetalipoproteinemia. Abetalipoproteinemia is a very rare autosomal recessive disorder characterized by the inability to produce chylomicrons or very low density lipoproteins, with the absence of apoB-containing lipoproteins in the circulation. Knowledge of the molecular basis for abetalipoproteinemia has led to the development of therapies for dyslipidemia that inhibit MTP. Partial MTP inhibition using small molecule inhibitors, such as lomitapide, can effectively lower plasma LDL-cholesterol and apoB levels, but is associated with gastrointestinal side-effects and hepatic steatosis, whose long-term sequelae remain unclear; lomitapide has accordingly only been approved as a treatment for homozygous familial hypercholesterolemia. Intestine-specific inhibitors of MTP decrease chylomicron biogenesis and improve insulin sensitivity in experimental animals and, while overcoming hepatic steatosis, may have significant gastrointestinal side-effects that could limit their use in humans. We review contemporary aspects of the biology and therapeutic regulation of MTP and their significance for lipid metabolism and cardiovascular disease.
Embedding degenerate graphs of small bandwidth

We develop a tool for embedding almost spanning degenerate graphs of small bandwidth. As an application, we extend the blow-up lemma to degenerate graphs of small bandwidth, the bandwidth theorem to degenerate graphs, and make progress on a conjecture of Burr and Erd\H{o}s on Ramsey number of degenerate graphs.
RCS based target recognition with real FMCW radar implementation

In this article, we investigate the methods that can realize automatic target recognition and tracking by exploiting signal distribution of radar cross section (RCS) with frequency modulated continuous wave (FMCW) radar. In doing this we use the real RCS data measured from the short‐range FMCW vehicle radar. We estimate the continuous valued degree of freedom and the mean of RCS distribution using maximum likelihood estimation (MLE) assuming that RCS follows gamma distribution. The experiments with real radar verify that parameterized gamma distributions for three targets of man, vehicle, and drone closely follow the empirical distributions. Then, we apply maximum a posteriori criterion (MAP) for target recognition. The average recognition probabilities for man, vehicle, and drone using MAP are 85%, 100%, and 92%, respectively. Since the vehicle has distinct RCS and thus perfectly recognizable, we apply a support vector machine (SVM) hoping to better classify the man and the drone. The man is recognized with similar accuracy, but the drone is not due to the lack of training samples, of which constraint is imposed by real implementation and experiment. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1745–1750, 2016
The Evolving Role of Automation in Transportation

Automation is not only in our future, it is already here. This has long been the case for aviation (FAA). But it is increasingly the case for our highly connected systems of vehicles (NHTSA), highways (FHWA), and railroads (FRA). Clearly we must educate the operators about the capabilities and limitations of these new automated systems (NTSB). The purpose of this panel is to share, at this critical point in the development of automation, the knowledge that has been gained across the different modes of transportation about how best to develop systems that may help reduce the approximately 94% of crashes attributed to human error. The five presenters (Allahyar, Becic, Chappell, Monk, and Philips) come from the different modes and have been centrally involved in the efforts to understand the role of the human operator in automated systems. Active engagement with the audience is expected.