Miracle-dz/UniFAR-FTUs huggingface dataset:
Copper peptides for tissue regeneration

GHK-Cu emerged during my attempts to reverse certain changes that occur during human ageing. The goal was to suppress the synthesis of the blood fibrinogen, a protein that rises with age and rises even more after myocardial infraction. Its blood concentration is an excellent predictor of mortality. Elevated fibrinogen levels increase blood coagulation and decrease tissue perfusion, by increasing the thixotropic properties of blood in the microcirculation. I found that the albumin fraction of human blood plasma has a suppressive action on fibrinogen synthesis and also improved the survival of the cultured liver cells that produce fibrinogen. Further isolations found these activities concentrated in a low molecular weight fraction that contained GHK-Cu.1 Subsequent work defined the three dimensional solution structure of GHK-Cu and the binding affinities between GHK and copper (II), as shown in Figure 1.2
Quantum confinement induced strain in quantum dots

We investigate quantum confinement induced strain in quantum dots. While the impact of mechanical strain on the electronic structure of quantum dots is well studied, the “reverse” effect remains relatively unexplored. Even in complete absence of external stress, for very small sizes (1-3 nm range), the electronic structure change due to quantum confinement may induce a strain in the quantum dot which in turn will further alter the electronic structure. Despite the limitations of an envelope function approach for small sizes, a multiband analytical model is developed to make explicit the qualitative features of this phenomenon with physical interpretation in terms of acoustic polarons. We quantitatively predict the induced strain due to quantum confinement and the polaron binding energy for the example cases of Si and GaAs. The Si polaron binding energy calculated from the developed model compares favorably with both our density functional and semi-empirical atomistic calculations.
ANALYSIS OF THE VOLUME INDICES OF EXTRA- AND INTRA-CELLULAR FLUID OBTAINED FROM THE MULTI-FREQUENCY IMPEDANCE TECHNIQUE IN EXTREMITIES

About 60% of the adult human body is fluid. The most of this fluid is inside the cells and called intracellular fluid (ICF) and one third is in the space out side the cells and called extracellular fluid (ECF) (1). Evaluation of the two components of ECF and ICF is important in various disease conditions. The standard method for this purpose in clinical practice is dilution principle using a tracer of isotopes (2), but that method is rather elaborate and there is a need of noninvasive methods with characteristics of safe, not expensive, requiring little operator skill and subject cooperation. The measuring of electrical impedance is considered as one of the methods to fulfill that need, and the application of bioelectrical impedance analysis for that needs started from the measurement of the volume of ECF using a single
Intrinsic Homology-Sensing and Assembling Property of Chromatin Fiber

The first meiotic prophase is divided into five sequential stages, referred to as leptotene, zygotene, pachytene, diplotene and diakinesis. Chromosome pairing is initiated during the late leptotene and early zygotene. As the stage progresses, the four chromatids are arranged and form two distinct pairs of sister chromatids, and the two chromatids in each pair are tightly aligned along their entire lengths. The synaptonemal complex (SC) is fully formed at the pachytene stage. Although such morphological changes in chromosomes and the mechanism of recombination have been well studied, we do not still understand how each chromosome recognizes and approaches its matching mate or homologue and the mechanism by which it interacts and pairs with its homologue. Regarding the latter phenomenon, double-stranded (ds) DNA has long been considered to have the ability to distinguish self and non-self. Indeed, this property of DNA was predicted about 60 years ago (Jehle, 1950; Yos et al., 1957) and was directly demonstrated a half-decade ago, when dsDNA molecules were proved to have sequence-sensing and self-assembly properties (Inoue et al., 2007). In the following two years, other studies describing the presence of such properties in DNA were reported (Baldwin et al., 2008; Danilowicz et al., 2009). A more recent study has revealed that nucleosomes retain this DNA sensing property and can self-assemble (Nishikawa and Ohyama, 2013). In this chapter, we define the self-association of the same dsDNA molecules as DNA self-assembly and that of nucleosomes with identical DNA as nucleosome self-assembly. And, we will discuss the recent findings on DNA self-assembly and nucleosome self-assembly and their relationships, as putatively significant mechanisms in the early stage in meiosis.
Life-Span Development: Frameworks, Accounts, and Strategies

In initial chapters Leonie Sugarman outlines the issues surrounding the notion of development and how it can be studied, including reviews of the work of key theorists Erikson, Levinson and Gould. She goes on to consider the different ways in which the life course can be construed: as a series of age-related stages; as a cumulative sequence; as a series of developmental tasks; as a series of key life events and transitions or as a narrative construction which creates a sense of dynamic continuity. A final chapter looks at how people cope, the resources that are available and the theoretical and practical issues regarding interventions to assist them in the process
Regional Immune, Hormonal and Mediatory Mechanisms Responsible for Function of “Immune Privilege of an Eye” at Senile and Complicated Cataracts

Nowadays, in current biology and medicine the subject of wide discussion present paracrine and autocrine immune, endocrine and mediatory mechanisms functioning of which in all the integrative systems of the organism are realized due to principles of interregulation and interdependence. It is not excluded that similar mechanisms are also engaged in eye tunics, moreover that the hematoophthalmic barrier is characterized by a more stable selective permeability (as compared to other histohematic barriers) towards a wide range of endoge‐ nous active biological compounds of immune, hormonal and mediatory origin.
Exergetic performance prediction of roughened solar air heater using Artificial Neural Network

The exergetic performance of roughened solar air heater has been predicted using Artificial Neural Network (ANN) model. The exergetic values have been worked out from the data collected by conducting experiments on solar air heater having transverse wire ribs roughened absorber plate with relative roughness heights 0.009571, 0.01400, 0.017142 and constant relative roughness pitch 10, at local weather condition of Jamshedpur (22.77 N & 86.14 E), India. ANN model was structured with seven input parameters such as experimental time, solar radiation intensity, roughness size, atmospheric temperature, mean air temperature, absorber plate temperature and mass flow rate of air in input layer, and five parameters such as exergy inlet, exergy outlet, exergy efficiency, exergy destruction and improvement potential in output layer. Levenberg-Marquardt, Scaled Conjugate Gradient and PolakRibiére Conjugate Gradient learning algorithms have been used for training the proposed model. The Levenberg-Marquardt learning algorithms with 7 neurons in hidden layer is found as optimal on the basis of statistical error analysis. The value of R for predicted model of exergy outlet, exergy inlet, exergetic efficiency, exergy destruction and improvement potential were 0.99584, 0.99997, 0.99517, 0.99997 and 0.99983 respectively , which gives the satisfactory performance of ANN model. The values of MSE, COV and MRE are found to be very low for predicted values of exergetic performance parameters which are desirable. The statistical results exhibit that the proposed MLP ANN model successfully predicts the exergetic performance of roughened solar air heater
HERMITE INTERPOLATION BY PYTHAGOREAN

The Pythagorean hodograph (PH) curves are polynomial parametric curves {x(t), y(t)} whose hodograph (derivative) components satisfy the Pythagorean condition x'2(t)+y'2(t) = a2(t) for some polynomial a(t). Thus, unlike polynomial curves in general, PH curves have arc lengths and offset curves that admit exact rational representations. The lowest-order PH curves that are sufficiently flexible for general interpolation/approximation problems are the quintics. While the PH quintics are capable of matching arbitrary first-order Hermite data, the solution procedure is not straightforward and furthermore does not yield a unique result—there are always four distinct interpolants (of which only one, in general, has acceptable "shape" characteristics). We show that formulating PH quintics as complex-valued functions of a real parameter leads to a compact Hermite interpolation algorithm and facilitates an identification of the "good" interpolant (in terms of minimizing the absolute rotation number). This algorithm establishes the PH quintics as a viable medium for the design or approximation of free-form curves, and allows a one-for-one substitution of PH quintics in lieu of the widely-used "ordinary" cubics.
A note on another construction of graphs with $4n+6$ vertices and cyclic automorphism group of order $4n$

The problem of finding upper bounds for minimal vertex number of graphs with a given automorphism group is addressed in this article for the case of cyclic 2-groups. This problem was considered earlier by other authors. We give a construction of an undirected graph having 2n +6 vertices and automorphism group cyclic of order 2n, n ≥ 2. This can revive interest in related problems.
Accelerated Bayesian Optimization for Deep Learning

Bayesian optimization for deep learning has extensive execution time because it involves several calculations and parameters. To solve this problem, this study aims at accelerating the execution time by focusing on the output of the activation function that is strongly related to accuracy. We developed a technique to accelerate the execution time by stopping the learning model so that the activation function of the first and second layers would become zero. Two experiments were conducted to confirm the effectiveness of the proposed method. First, we implemented the proposed technique and compared its execution time with that of Bayesian optimization. We successfully accelerated the execution time of Bayesian optimization for deep learning. Second, we attempted to apply the proposed method for credit card transaction data. From these experiments, it was confirmed that the purpose of our study was achieved. In particular, we concluded that the proposed method can accelerate the execution time when deep learning is applied to an extremely large amount of data.
Growth of graphene on nickel using a natural carbon source by thermal chemical vapor deposition

We report the growth of few-layer graphene (FLG) on a nickel (Ni) substrate using palm oil as a single carbon source by thermal chemical vapor deposition (T-CVD). Using an ample amount of vaporized palm oil resulted in the formation of a thick, amorphous carbon film on the Ni surface. By decreasing the amount of the carbon source supply, thin films consisting of graphite grains and FLG were obtained at growth temperatures of 900 and 1000˚C, confirming the potential of using palm oil as a source for graphene growth. The occasional voids were obtained on the transferred film and these voids were confirmed to be areas where FLGs are formed. These FLGs are likely removed during the transfer process. Further reducing the amount of palm oil suppressed the coverage of graphite grains and increased the void area formation on the transferred films, proving the increase of FLG coverage.
ESTEREÓTIPO DA IMAGEM DE PAÍS: ANÁLISE DA PERCEPÇÃO DOS ESTRANGEIROS EM RELAÇÃO AO BRASIL

A percepcao que os consumidores possuem em relacao ao pais onde se origina determinado produto pode influenciar seu comportamento pela extensao daquela a imagem de marca e qualidade do produto, sendo um componente decisivo nao apenas para as empresas que atuam no mercado internacional, como tambem, para a construcao de uma identidade nacional. Diante dessa conjuntura, este estudo objetiva analisar a percepcao dos estrangeiros em relacao ao Brasil e perceber como os portugueses, devido aos lacos historicos entre as duas nacoes, reagem ao pais. Para tanto, foi realizada uma pesquisa de cunho quantitativo e qualitativo, por meio de um estudo descritivo. O resultado, advindo de 155 respondentes oriundos de 20 paises diferentes alertou para a falta de informacao e comunicacao acerca dos produtos brasileiros no mercado internacional e a necessidade de um maior fortalecimento da imagem do pais e configuracao de um posicionamento na economia mundial.
Stop and Frisk Redux: Analysis of Racial Bias in New York City

With the rise of violent crime in the 1990s the New York City Police Department (NYPD) turned to proactive policing practices. Perhaps the most known of these practices is Stop, Question, and Frisk, known as Stop and Frisk. The practice had a disparate impact on the black and Hispanic community of New York City as the two groups represent more than 80 percent of all stops. Some academics have argued that sheer amount of stops does not reflect bias. Using a hit-rate analysis it has been shown that black and Hispanic pedestrians are arrested in a rate similar to the one white pedestrians are arrested at, and hence no racial bias. In this paper I challenge that conclusion and argue that there is heterogeneity among stops that masks lower arrest rates of black and Hispanic pedestrians. When the sample of all stops is restricted to only stops that involved a frisk or only stops that were required to be reported, black and Hispanic pedestrians are arrested in a lower rate that is both statistically and economically significant. This results leads to the conclusion that Stop and Frisk is an uneven policing practice that carries racial bias.
Imputing Missing Information on Census-unlinked Vital Events : A Simple Bayesian Approach

Previous studies have shown that demographic estimates based on census-unlinked vital events are potentially biased—especially when broken down by sociodemographic groups (e.g., when assessing social disparities in mortality rates). The problem is further exacerbated in the presence of missing information on birth and death certificates, because omitting those cases from the numerator (but not the denominator) will necessarily underestimate important demographic quantities. This study shows that standard imputation methods are generally unfit to address the problem and instead de elops a o el i putatio ethod usi g Bayes’ theo e , taki g i to a ou t all a aila le information from both the numerator (vital events) and denominator (census data). The new method is illustrated using U.S. vital registry data from 1990, where nearly one quarter of death e tifi ates failed to e o d the de ede t’s le el of edu atio al attai e t. The esults o fi that this method outperforms standard approaches to missing data imputation where vital events are census-unlinked.
Risk Sharing, Financial Integration, and Welfare

This paper uses the European Community Household Panel (ECHP) and the European Union Statistics on Income and Living Conditions (EU-SILC) to assess the impact of nancial integration on welfare across countries and across households. The two datasets yield balanced panels of more than 17,000 and 31,000 households from up to 22 European countries over the periods 1994-2000 and 2004-2008. The dependent variable is given by a household’s personal assessment of its ability to make the ends of its balance sheet meet. I argue that this measure mirrors household utility better than current ones in the literature. I rst document a negative welfare-eect arising from labor income uncertainty. I then show that nancial integration signicantly mitigates this eect for the average household in a country. Finally, I assess the distribution of these gains across households: while in the rst part of the sample, households strongly exposed to nancial markets have gained slightly less than the average household, in more recent years, the negative dierential eect for the same group has disappeared.
Effects of manganese exposure and antioxidant therapy on oxidative stress and stereotypic behaviors in rats

Manganese (Mn) is an essential dietary element required for several important physiological processes. However, accumulation of Mn due to excessive environmental exposure is known to pose neurological health concerns that manifest as movement abnormalities and cognitive impairment. Oxidative stress has been hypothesized to play a role in this dysfunction. In these studies we examined the effect Mn exposure had on oxidative stress in the brain with or without antioxidant therapy, and how brain regional Mn accumulation affected stereotypic behaviors in rats. Sprague-Dawley rats raised on AIN-93G diet were randomized into a Mn free group (deionized water) and Mn exposed group (deionized water with 1 g Mn/L). Each group was then subdivided into three additional groups receiving injections of either saline (vehicle) or antioxidant therapy: 200 mg/kg N-acetyl-cysteine (NAC) or 5 mg/kg (-)-epigallocatechin-3-gallate (EGCG) to yield six groups total, each with an n=6. During the sixth week of treatment, stereotypic rat behaviors (total distance traveled, sleep, sniff, and groom) were monitored using Clever Systems Home Cage Scan. Upon completion of the sixth week the rat brains were removed with the caudate putamen (CP) and hippocampus (HC) sectioned out and analyzed for Mn and iron (Fe) concentrations, total glutathione (GSH) levels, lipid peroxidation in the form of F2-Isoprostanes (F2-IsoPs), along with glutathione peroxidase (GPx) and catalase mRNA levels. Results were considered significant when p≤0.05. Mn exposure significantly increased Mn concentrations in both the CP and HC, accompanied by significantly decreased Fe:Mn ratios in Mn-exposed groups. Mn significantly increased total distance traveled in each Mn-exposed group and decreased sniff behavior in the Mn only group. Only modest alterations in GSH and catalase levels were present in each region, although, a significant positive correlation between Mn concentration and GPx mRNA expression was observed. Additionally, F2-IsoP results showed no evidence of increased oxidative damage compared to CN regardless of EGCG or NAC therapy. These data, compared to the body of Mn toxicity research, suggest that oral Mn exposure may not generate deleterious levels of oxidative stress leading to overt neurological dysfunction. This exposure paradigm, instead, may result in subtle neurochemical alterations associated with behavior change and potential cognitive impairment.
Epstein-Barr V irus in H um an M alignancy : A Special Reference to Epstein-Barr V irus associated G astric C arcinom a

Epstein-Bar virus (EBV), a human herpesvirus, establishes a life-long persistent infection in 90~95% of human adult population worldwide. EBV is the etiologic agent of infectious mononucleosis, and EBV is associated with a variety of human malignancy including lymphoma and gastric carcinoma. Recently, EBV has been classified as group 1 carcinogen by the W HO International Agency for Research on Cancer. Evidence is presented which suggests that failures of the EBV-specific immunity may play a role in the pathogenesis of EBV-associated malignancy. At present, the precise mechanisms by which EBV transforms B lymphocytes have been disclosed. Encouragingly, they have had enough success so far to keep them enthusiastic about novel therapeutic trial in the field of EBV-associated lymphoma. However, information on EBV-associated gastric carcinoma is still at dawn. This article reviews EBV biology, immunological response of EBV infection, unique oncogenic property of EBV, peculiarity of EBV-associated gastric carcinoma, and lastly, EBV-targeted therapy and vaccination. (Cancer Res Treat. 2005;37:257-267) 󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏 Key W ords: H uman herpes virus 4 , E pste in-Barr virus (E BV ), O ncogenic virus, S tomach neoplasms, Lymphoma, EBV-targeted treatment
v2v Communication for Augmenting Reality Enabled Smart HUDs to Increase Situational Awareness of Drivers

Inter-car communication has emerged in recent times as a viable solution towards reducing traffic hazards, with the recent US government mandate in favor of vehicle-to-vehicle communication highlighting the movement towards this direction in the automobile industry. However, questions remain as to how information from other cars can be effectively relayed to a driver, especially so as to not overload the driver with too much information. Meanwhile, a parallel thread of development in the space of Smart HUDs has shown the applicability of augmented reality to increase the situational awareness of drivers on the road. In this paper, we build on these threads of work and show how Smart HUDs can be an effective platform for projecting relevant information from surrounding vehicles in real time, and how an onboard AI component can avoid increased cognitive burden on the driver by determining when and what information to project based on its models of the driver and the surrounding environment.
FINGERPRINT INDEXING AND VERIFICATION

This paper presents fingerprint indexing based on g raph information of minutiae, fingerprint classific ation and verification based on hierarchical agglomerative cl ustering technique. The proposed fingerprint indexi ng is invariant under translation and rotation. Its performance is evalua ted in terms of several real-life datasets. The fin gerprint database is clustered into five classes based on the ridge code (RC) of fingerprint for classification purposes. A n efficient search method is proposed, where each of these clusters is divided into sub-clusters till each sub-cluster co ntain maxobj threshold or clustering similarity threshold T can no longer b increased. Searching of fingerprint is performed by matching profile of the cluster/sub-cluster. It has been found that e fingerprint classification sufficiently narrow down the search due to multi-level clustering of database.
The Diameter of Binary Multithreaded Programs: Preliminary Results

We consider the class of finite-state multithreaded programs equipped with a shared-memory interleaving semantics and study the possibility of useful asymptotic bounds on the (finite) diameter of the transition graph of a program from this class. This diameter gives an upper bound on the length of a shortest certificate for the existence of a bug in such a program and as such is connected to the complexity of bug-finding. We here study the dependency of the diameter on the number of threads for the so-called binary programs, which have two local states per thread and two shared states. We prove several upper bounds on these diameters, and provide exact values for special cases. Our bounds are based on a detailed study of the possible transition relations of the threads, and the exact values are algorithmically computed by a mechanical enumeration. Our results present an initial investigation questioning whether the growing number of threads is the main reason for the high complexity of analyzing multithreaded programs – which is often taken for granted in the literature.