Miracle-dz/UniFAR-FTUs huggingface dataset:
DMSO_A_298596 1783..1797

1Faculty of Health Sciences, Jagiellonian University School of Medicine, Krakow, Poland; 2Health Care Centre of the Ministry of the Interior and Administration, Department of Anesthesiology and Intensive Care, Krakow, Poland; 3Department of Internal Medicine, Jagiellonian University School of Medicine, Krakow, Poland; 4Department of Bioinformatics and Telemedicine, Jagiellonian University School of Medicine, Krakow, Poland; 5Health Care Centre of the Ministry of the Interior and Administration, Department of Internal Medicine, Krakow, Poland; 6Department of Medical Biochemistry, Jagiellonian University School of Medicine, Krakow, Poland Purpose: Associations between perceived stress and oxidative stress marker and metabolic syndrome (MetS) components were investigated in a cohort of police officers. Methods: Cross-sectional data from a cohort of non-diabetic subjects (n=233; 19F), median [interquartile range] age 50 [37–44] years, were analysed. MetS was construed in line with International Diabetes Federation (IDF) criteria and perceived stress with Cohen’s 10-item Perceived Stress Scale. Plasma oxidative stress marker (free 8-iso-prostaglandin F2α; 8-isoPGF2α), presence of coronary plaque, carotid artery intima-media thickness (cIMT), and physical activity level were also determined. Results: Obesity was established in 100 (42.92%), hypertension in 111 (47.64), whereas MetS was identified in 104 (44.63%) of the study subjects. A significant difference (p=0.003) in plasma 8-iso-PGF2α level, depending on the MetS components status, was noted. The associations of perceived stress with plasma 8-iso-PGF2α level and the select study variables were gender-specific. In multivariate analysis (adjusted for age and current smoking), positive associations of plasma 8-iso-PGF2α levels with PSS score (B=0.108, 95% CI [0.008, 0.209], p=0.03) and systolic blood pressure (B=0.029, 95% CI [0.003, 0.057], p=0.02) in men only were established. Both the perceived stress (OR 1.101, 95% CI [1.001–1.202], p=0.03) and plasma 8-iso-PGF2α levels (OR 1.223, 95% CI [1.046–1.432], p=0.01) impacted the prevalence of hypertension. Out of the MetS components, the effect of waist circumference (OR=1.138, 95% CI [1.064–1.218], p=0.0001) and glucose (B=2.696, 95% CI [1.081–6.725], p=0.03) were also encountered. No such associations were noted in women, though, neither in univariate nor in multivariate analyses. The prevalence of coronary plaque (0.001), obesity (p<0.001), hypertension (p<0.001) and median cIMT value (p=0.005), as well as leisure-time (p=0.04) and total walking physical activity (p=0.03), differed significantly between the subgroups stratified by MetS components status. Conclusion: Both the perceived and oxidative stress were found instrumental in promoting hypertension in a cohort of police officers under study, whereas all study outcomes were conclusively gender-related.
Search for heavy Majorana neutrinos in e ± e ± + jets and e ± µ ± + jets events in proton-proton collisions at √ s = 8 TeV

A search is performed for heavy Majorana neutrinos (N) decaying into a W boson and a lepton using the CMS detector at the Large Hadron Collider. A signature of two jets and either two same sign electrons or a same sign electron-muon pair is searched for using 19.7 fb − 1 of data collected during 2012 in proton-proton collisions at a centre-of-mass energy of 8 TeV. The data are found to be consistent with the expected standard model (SM) background and, in the context of a Type-1 seesaw mechanism, upper limits are set on the cross section times branching fraction for production of heavy Majorana neutrinos in the mass range between 40 and 500 GeV. The results are ad-ditionally interpreted as limits on the mixing between the heavy Majorana neutrinos and the SM neutrinos. In the mass range considered, the upper limits range between 0.00015-0.72 for | V eN | 2 and 6.6 × 10 − 5 -0.47 for | V eN V ∗ µ N | 2 / ( | V eN | 2 + | V µ N | 2 ) , where V (cid:96) N is the mixing element describing the mixing of the heavy neutrino with the SM neutrino of ﬂavour (cid:96) . These limits are the most restrictive direct limits for heavy Majorana neutrino masses above 200 GeV.
Structure and Expression of Germ Line Immunoglobulin Heavy-Chain £ Transcripts: Interleukin-4 Plus Lipopolysaccharide-Directed Switching to C,

We have isolated cDNA clones complementary to a truncated immunoglobulin heavy-chain Ca RNA transcript previously found to be induced in B lymphoid cells by treatment with lipopolysaccharide (LPS) combined with interleukin-4 (IL-4). We demonstrate that this transcript initiates from a promoter upstream of the germ line £ class-switch recombination region (Sa region). The major germ line Ca transcript contains a small 5' exon contributed by sequences upstream of the SE region spliced to the normal CE exons. Treatment of splenic B lymphoid cells with LPS plus IL-4 induces the expression of transcripts from the germ line transcription unit followed by expression of normal immunoglobulin heavy-chain mRNA. Furthermore, we demonstrate that similar treatment of transformed precursor B cell lines induces the expression of germ line transcripts followed by class switching to expression in these lines. This is the first demonstration of switching to in cells of the pre-B stage. The general structure of the germ line transcript and transcription unit is similar to that previously characterized for germ line -y2b transcripts. However, expression of these two germ line transcription units in B-lineage cells is inversely regulated by IL-4 (plus LPS) treatment, correlating with the effects
Heavy Chain Genes in the Shark The Evolution of Multiple Isotypic IgM

The IgM H chain gene organization of cartilaginous ﬁshes consists of 15–200 miniloci, each with a few gene segments (V H -D1-D2-J H ) and one C gene. This is a gene arrangement ancestral to the complex IgH locus that exists in all other vertebrate classes. To understand the molecular evolution of this system, we studied the nurse shark, which has relatively fewer loci, and characterized the IgH isotypes for organization, functionality, and the somatic diversiﬁcation mechanisms that act upon them. Gene numbers differ slightly between individuals ( (cid:1) 15), but ﬁve active IgM subclasses are always present. Each gene undergoes rearrangement that is strictly conﬁned within the minilocus; in B cells there is no interaction between adjacent loci located > 120 kb apart. Without combinatorial events, the shark IgM H chain repertoire is based on junctional diversity and, subsequently, somatic hypermutation. We suggest that the signiﬁcant contribution by junctional diversiﬁcation reﬂects the selected novelty introduced by RAG in the early vertebrate ancestor, whereas combinatorial diversity coevolved with the complex translocon organization. Moreover, unlike other cartilaginous ﬁshes, there are no germline-joined VDJ at any nurse shark (cid:1) locus, and we suggest that such genes, when functional, are species-speciﬁc and may have specialized roles. With an entire complement of IgM genes available for the ﬁrst time, phylogenetic analyses were performed to examine how the multiple Ig loci evolved. We found that all domains changed at comparable rates, but V H appears to be under strong positive selection for increased amino acid sequence diversity, and surprisingly, so does C (cid:1) 2. The Journal of Immunology, 2008, 180: 7461–7470.
Predicting Eshopping Data Using Deep Learning

: Internet shopping transactions have recently raised big concerns. Problem on making businesses through internet, causes loses as a fact of life for all merchants, who accept online payment mode transaction. It is impossible for the retailers to check whether the customer is the genuine or not. Using Machine learning, a method of data analytics that iteratively learn from data and allows computers to find hidden insights without being any explicit programmed. Algorithm initiates by extracting knowledge and unknown interesting patterns important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. This paper shows how advanced Machine Learning algorithm and neural network algorithm combined successfully to obtain a high fraud coverage and also with a low false alarm rate. Well trained Artificial neural network can work as a human brain, depend for their working on the neurons, which is the small functional unit in brain as well as ANN. Deep learning, advanced machine learning algorithm is used for fraudulent detection based on the user’s behavior from their transactional record.
Total Transfer Capability Calculation Using Repeated Power flow Method

— The aim of this paper is to develop an approach to analyze the electricity transfer capability among different electricity markets using repeated power flow technique. Instead of minimizing the total cost in the conventional problem, the transfer capability between two markets or two electricity supplies or generation areas is maximized. The optimization shall be subjected to the operational constraints, however as the time taken by these traditional optimization methods are quite significant, but these methods may not be suitable for online application. To reduce the time required computing transfer capabilities and also in order to take advantage of the superior speed of other power flow methods are referred to implement the transfer capability calculations. The results have been simulated by using MATLAB. And the results have been presented and compared with the conventional methods. This paper reviews the influence of different uncertainties on the ATC value. In addition to the general contingencies, the stress due to strategic bidding or trading schemes in the competitive market is also studied for modeling. The ATC value between a specified seller bus and buyer bus can vary significantly with the change in bid since it causes to alter the schedule as a result system operating state. The higher value of bidding parameter from the case study , causes to allocate lower schedule at that generator and ATC value to any bus from that source is increased. The results have been improved by using Repeated Power Flow (RPF) for the computation of transfer capabilities between system areas. A significant reduction in computational time, thus making it a potential candidate for online application. The work proposed in this paper can also be used to calculate available transfer capabilities (ATC) under the open access environment.
Development of Educational Content for Dental Extraction Skill Training Using

The purpose of this study was to present a educational content developed for training of dental extraction skill in a virtual environment. The development of the content consists of five steps: learning content analysis, draw a design model, development, test of validity, rectification and complete of the content. We developed the virtual reality (VR) simulator with producing an animation of surgical stages on the 3D models of human face for simulating dental extraction procedure. The results of validity tests for the content were mean 4.81 (SD, 0.72) for interface validity and mean 4.66 (SD, 0.71) for content validity, which represents strong evidence for the validity of the content. The data of the study indicates that the educational content developed for training of dental extraction skill using VR technology can be suitable to improve surgical skill of dental extraction in clinical field. We expect that further development of the education contents based on the VR technology to improve various surgical skills in clinical field will be addressed in the future
Analyzing Soft Computing based Intrusion Detection Systems

: With the growth of Internet both in its importance and size, network security is also become vital. Intrusion Detection System is one of the important components here. Intrusion Detection Systems based on Soft Computing are currently attracting considerable interest from research community. Characteristics of Soft Computing, such as adaptation, fault tolerance, and error resilience in the face of noisy information, fit the requirements of building a good intrusion detection model. Typically Soft Computing algorithms learn from human knowledge and mimic human skills. Here we have analyzed the application of Soft Computing to the problem of intrusion detection. In this work primarily we have focused on Genetic Algorithm and Neural Network. Such evolutionary techniques are tested effectively using KDD Cup 99 dataset.
Case Report: Disseminated Autochthonous Dermal Leishmaniasis Caused by Leishmania siamensis (PCM2 Trang) in a Patient from Central Thailand Infected with Human Immunodeficiency Virus

Several case reports of autochthonous leishmaniasis in Thailand have been published since 1996. Most of the previous cases presented with visceral leishmaniasis (VL) and were mostly reported in southern part of Thailand. Recently, it has been evident that Leishmania martiniquensis is the main cause of Leishmania infection in Thailand. However, Leishmania siamensis (PCM2 Trang isolate) was found to be of a separate lineage with restricted distribution in southern Thailand and also a cause of disseminated dermal and visceral leishmaniasis in one published case. Here we report the first patient from central Thailand with human immunodeficiency virus infection presenting with disseminated dermal leishmaniasis. Polymerase chain reaction and DNA sequencing analysis (large subunit of RNA polymer- ase II and 18S ribosomal RNA internal transcribed spacer 1) from the tissue biopsy sample revealed the pathogen sequences to be highly homologous to PCM2 Trang strain previously reported from southern Thailand.
Notice : This Material may be protected by Copyright Law ( Title 17 U . S . C . ) . facketized-Voice / Data Integrated Transmission on a Token Passing Ring Local Area Network *

This paper investigates the performance of a token passing ring network with packetized voice/data mixed traffic through extensive simulations. Both data and voice users are mod eled in the simulations. Data users produce bursty traffic. Voice traffic is modeled as having alternating talkspurts and silences, with generation of voice packets at a constant rate during talkspurts and no packet generation during silence periods. The network performance measures obtained include: the distribution of transmission delays for voice packets, the average transmission delay and loss probabilities for voice pack ets, the number of voice users allowed on a network while satisfying the real-time constraints of speech, and the average transmission delay for data packets. Token passing ring local area networks are shown to effectively handle both voice and data traffic. The effects of system parameters (e.g., voice packet length, talkspurt /silence lengths, data traffic intensity, and limited versus exhaustive service disciplines) on network performance are discussed.
Images of foodscapes

The notion of foodscape is increasingly being used within health promotion, public health nutrition and food studies as a tool to describe our food environments and to assess the potential impact on food choice and food behaviour. This paper takes a closer look at the growing number of foodscape studies (FSS) and traces the origin of the idea of foodscapes. It reflects on the different contributions and discusses the applicability within food research. In particular it discusses how the notion can be applied in the growing number of studies that investigate the role that captive eating out-of-home environments (CEOE) in public welfare systems has on the health of the individual and on the sustainability of the environment. The paper concludes that the idea of foodscapes is a convenient tool that has many applications in food research. The foodscape framework offers obvious advantages in that it enables scholars to analyse how food, places and people are interconnected and how they interact. In particular the paper concludes that the foodscape notion is well suited to the study of foodscapes in CEOEs such as schools, kindergartens and institutions. I finally suggest that such foodscapes can be defined as physical, organizational and sociocultural spaces in which clients/guests encounter meals, food and food-related issues including health messages. departure, it traces the origins of foodscapes and gives an account of different approaches to foodscapes reported in the literature. The paper further aims to contribute to the development of foodscape studies as a tool to understand and develop health behaviour in captive eating out-of-home environments.
Natural Frequency Optimization of Variable-Density Additive Manufactured Lattice Structure: Theory and Experimental Validation

Additive manufacturing (AM) is now capable of fabricating geometrically complex geometries such as a variable-density lattice structure. This ability to handle geometric complexity provides the designer an opportunity to rethink the design method. In this work, a novel topology optimization algorithm is proposed to design variable-density lattice infill to maximize the first eigenfrequency of the structure. To make the method efficient, the lattice infill is treated as a continuum material with equivalent elastic properties obtained from asymptotic homogenization (AH), and the topology optimization is employed to find the optimum density distribution of the lattice structure. Specifically, the AH method is employed to calculate the effective mechanical properties of a predefined lattice structure as a function of its relative densities. Once the optimal density distribution is obtained, a continuous mapping technique is used to convert the optimal density distribution into variable-density lattice structured design. Two three-dimensional (3D) examples are used to validate the proposed method, where the designs are printed by the EOS direct metal laser sintering (DMLS) process in Ti6Al4V. Experimental results obtained from dynamical testing of the printed samples and detailed simulation results are in good agreement with the homogenized model results, which demonstrates the accuracy and efficiency of the proposed method.
Colour differences in Caucasian and Oriental women face illuminated by LED white sources

OBJECTIVE. To provide an approach to facial contrast, analysing CIELAB colour differences (  E *ab,10 ) and its components (cid:349)(cid:374) (cid:449)(cid:381)(cid:373)(cid:286)(cid:374)(cid:859)(cid:400) (cid:296)(cid:258)(cid:272)(cid:286)(cid:400) (cid:296)(cid:396)(cid:381)(cid:373) (cid:410)(cid:449)(cid:381) (cid:282)(cid:349)(cid:296)(cid:296)(cid:286)(cid:396)(cid:286)(cid:374)(cid:410) (cid:286)(cid:410)(cid:346)(cid:374)(cid:349)(cid:272) (cid:336)(cid:396)(cid:381)(cid:437)(cid:393)(cid:400)(cid:853)
We wish to comment on “ Reevaluation of the Cancer Potency Factor of Toxaphene : Recommendation from a Peer Review

We wish to comment on “Reevaluation of the Cancer Potency Factor of Toxaphene: Recommendation from a Peer Review” by Goodmanet al.(Toxicological Sciences 55,3–16). The cancer potency derived by Goodman et al. is approximately 10-fold lower than values previously derived by the U.S. Environmental Protection Agency and California. In spite of using a different extrapolation model and reevaluated data, much of the difference between the potencies results from the selection of the female mouse liver tumor data over that from males, because “the background rate of liver tumors in females is lower and less variable than that exhibited by males. ” The variability in male control data is low, with incidences of 19, 20, and 15% in the Litton, National Cancer Institute (NCI) (matched), and NCI (pooled) groups, respectively. We agree that the background liver tumor incidence is higher in control males than in females; however, this does not introduce “considerable uncertainty. ” Curve fitting readily accommodates the higher background rate. Given the substantially greater sensitivity of the male mouse compared to the female mouse, this level of “uncertainty” should not rule out the use of the male data as the basis for the risk assessment. The authors also suggest that the Litton tumor data evaluation would not hold up under current diagnostic criteria, yet later, in noting that the pattern of reassessed NCI tumor types is “in line” with the Litton data, they justify combining the data sets. We believe it is contradictory to question the qualitative aspects of the Litton tumor evaluation and then to accept the data as suitable for a combined quantitative risk assessment.
MEASURING THE MECHANICAL BEHAVIOR OF PAPERBOARD IN A CHANGING HUMIDITY ENVIRONMENT

Both the strength and stability of compres­ sively loaded paperboard are known to be adversely affected by cyclic changes in relative humidity. Current research at the Forest Products Laboratory (FPL) seeks to observe and explain this phenomenon and to develop a simple, practical test to deter­ mine allowable "working loads" in cyclic moisture environments. A new research apparatus has been developed to measure creep strain, stiffness, and strength in constant and changing humidity environ­ ments. Early results link cyclic change in relative humidity with significant loss in compressive strength and suggest the exist­ ence of a critical load value above which cyclical humidity changes are progressively destructive to the integrity of the web structure. Current efforts are directed toward evaluating the relationship between strength loss, creep load, rate of humidity change, and number of humidity cycles. We anticipate this work will result in a method for "derating" the compression strength of paperboard when used in applications in­ volving changes in moisture content.
Factors Influencing Bacterial Biofilm Formation and Development

Bacterial communities attached to surfaces and established a protected mode of growth within extracellular matrix substances are defined as a bacterial biofilm. Formation of the biofilm occurs naturally as a result of balancing between a variety of chemical, physical and biological processes. Biofilms form on different surfaces, such as inert materials and living tissues or cells after the surface bacterial adhesion followed by the growth and production of extracellular polymeric substances (EPS). In this article, biofilm formation from the initial attachment of bacterial cells to the substratum, physiological changes within the microbe, multiplication of adhered cells to form microcolonies, and finally biofilm maturation is reviewed. The review article will also highlight factors involved in biofilm formation. Hopefully, this article will serve as a supportive document for further research into the molecular nature of biofilms.