Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of glutamine on alveolar epithelial barrier function after cardiopulmonary bypass

Objective: This study is to investigate the effects of glutamine (Gln) on alveolar epithelial barrier function after cardiopulmonary bypass (CPB). Methods: A total of 40 rats were randomized into 5 equal groups: sham operation (SH), CPB, Gln 1 (G1), Gln 2 (G2), and Gln 3 (G3). Three days before operation, rats in SH and CPB groups were injected with 0.5 ml of saline, while rats in G1, G2, and G3 groups were respectively injected with 2 ml 0.15 g/kg, 0.45 g/kg and 0.75 g/kg of Gln. CPB was constructed in groups CPB, G1, G2, and G3. Alveolararterial oxygen difference (A-aDO2) and the levels of respiratory index (RI), interleukin-6 (IL-6), interleukin-10 (IL-10), tumornecrosisfactor-α (TNF-α), lipopolysaccharide (LPS), matrix metalloprotein-9 (MMP-9), extravascular lung water (EVLW), malonic dialdehyde (MDA), myeloperoxidase (MPO), superoxide dismutase (SOD), aquaporin-1 (AQP-1), and aquaporin-4 (AQP-4) were detected. Results: A-aDO in CPB, G1 and G2 groups was lower than that in SH group, and was higher in groups G1, G2 and G3 than in CPB, all with significant difference (P<0.05). RI in CPB and G1 was significantly lower than that in SH, whereas was higher in G1, G2 and G3 than in CPB group (P<0.05). EVLW, LPS, MMP-9, MDA, MPO, IL-6, IL-10, and AQP-4 in CPB, G1, G2, and G3 groups were higher than that in SH group, however, were lower in G1, G2, and G3 groups comparing with that of CPB group (P<0.05). SOD and AQP-1 in CPB, G1, G2, and G3 groups were lower than that in SH group, and in G1, G2 and G3 groups were higher than that in CPB group (P<0.05). TNF-α in G1 group was higher than in SH group, while in G1, G2, and G3 groups was lower than that in CPB group (P<0.05). Conclusion: Gln pretreatment was helpful for releasing lung injury, systemic inflammatory response syndrome (SIRS), and ischemia-reperfusion injury which are secondary to CPB.
Relative Calibration of the Time Transfer Link between CERN and LNGS for Precise Neutrino Time of Flight Measurements

The relative calibration of the GPS time link between European Organization for Nuclear Research (CERN) and Gran Sasso National Laboratory (LNGS), performed in 2011, is reviewed. “Relative” means that traveling equipment was used to calibrate the delay of the link as a whole, but no information on absolute delays of individual components was gained. The precisely calibrated GPS link was used in the framework of the measurement of the time of flight of neutrinos generated in the CERN Neutrino to Gran Sasso (CNGS) experiment and measured with the Oscillation Project with Emulsion Tracking Apparatus (OPERA) detector at LNGS.
Activation of NPY 1 R increases the proliferation and invasion of human uterine leiomyosarcoma cells

Background: Uterine leiomyosarcoma is malignant tumor that arises from smooth muscle lining the walls of uterus. Neuropeptide Y Receptor Y1 (NPY1R) is a novel peripheral blood marker predictive of metastasis and prognosis in breast cancer. However, it is unclear about how hormones affect the expression, and how NPY1R affects cell proliferation and invasion of uterine leiomyosarcoma cells. Therefore, the current study aimed to examine effects of estrodiol and progesterone on NPY1R expression in uterine leiomyosarcoma, and effects of NPY1R on the proliferation and invasion of human uterine leiomyosarcoma cells. Methods: Expression of NPY1R, estrogen receptor and progesterone receptor in uterine leiomyosarcoma tissue and normal surrounding tissue from patients were detected by immunohistochemistry staining. Human uterine leiomyosarcoma SK-UT-1 cells were treated with estrodiol (10 nM, 100 nM, 1 μM and 2 μM), and progesterone (10 nM, 100 nM, 1 μM and 2 μM) for 24 h respectively, and expression of NPY1R was detected by qPCR. SK-UT-1 cells were treated with NPY1R agonist [Leu31, Pro34]-Neuropeptide Y (10 nM, 100 nM, 1 μM and 10 μM) for 24 and 48 h, respectively. SK-UT-1 cells were treated with NPY1R antagonist BIBO-3304 (0.1, 1, 10 nM) in presence or absence of NPY1R agonist (1 μM) for 24 and 48 h. The cell viability of SK-UT-1 cells was measured by CCK-8 cell viability assay kit. The proliferation of SK-UT-1 cells was measured by BrdU method. Transwell invasion assay was utilized to detect tumor invasion ability. Expression of matrix metallopeptidase (MMP) 2 and 9 was evaluated by qPCR. Results: NPY1R was expressed in human uterine leiomyosarcoma tissue. Compared to non-treated SK-UT-1 cells, estrodiol at higher dosages (1 and 2 μM) markedly increased NPY1R expression. Progesterone significantly increased NPY1R expression at all dosages used in current experiments. In addition, NPY1R agonist significantly increased viability of SK-UT-1 cells at higher dosages (100 nM, 1 μM and 10 μM) at 48 h. NPY1R antagonist markedly decreased viability of SK-UT-1 cells at higher dosages (10 nM at 24 h; 1 and 10 nM at 48 h). NPY1R agonist significantly increased the percentages of BrdU+ cells at higher dosages (100 nM, 1 μM and 10 μM) at 24 h. Meanwhile, NPY1R agonist markedly increased the invasion ability of SK-UT-1 cells dose-dependently, and NPY1R antagonist significantly decreased the invasion ability of SK-UT-1 cells in presence of NPY1R agonist. Compared to blank group, NPY1R agonist significantly increased the expression of MMP2 in SK-UT-1 cells dose-dependently at 48 h. Conclusions: Estrodiol and progesterone can increase NPY1R expression in human uterine leiomyosarcoma cells. NPY1R agonist significantly increased proliferation and invasion of human uterine leiomyosarcoma cells, and NPY1R antagonist markedly decreased the proliferation and invasion, especially in presence of NPY1R agonist.
A Novel Adaptive Biasing Scheme for CMOS Op-Amps

In this paper, we present a new adaptive biasing scheme for CMOS op-amps. The designed circuit has been used in an Operational Transconductance Amplifier (OTA) with ±1 V power supply, and it has improved the positive and negative slew rates from 2.92 V/msec to 1242 V/msec and from 1.56 V/msec to 133 V/msec respectively, while maintaining all the smallsignal performance parameter values the same as that without adaptive biasing (as expected), however, there was a marginal decrease of the dynamic range. The most useful features of the proposed circuit are that it uses a very low number of components (thus not creating severe area penalty) and requires only 25 ㎻of extra stand-by power.
Generation of Models for Detecting Off-task Behavior While Using an Intelligent Tutor for Algebra

As more and more modern classrooms use Intelligent Tutoring Systems, it becomes imperative for our educators to determine whether these systems are being used properly. It is possible for students to engage in off-task behavior, defined as behavior that results from the students’ lack of motivation for learning. Off-task behavior can range from resting one's eyes, to talking to one's seatmate, to "gaming the system" defined as attempting to advance through the curriculum by abusing regularities in the system. Gaming is an operational systematic guessing or trial and error. These behaviors constitute time away from the learning task and are therefore considered detrimental to learning. By analyzing low-fidelity playbacks in action clips of interactions recorded by the tutor, we determine off-task behavior using text-action replays. Using clips labeled by experts, we use machine learning techniques to detect automatically offtask behavior. This automatic detection can lead to interventions that can retain student attention and increase learning. KeywordsAffective Computing, Intelligent Tutoring Systems, Machine-learning, Aplusix, Off-task behavior
Botulinum toxin assessment , intervention and aftercare for lower limb spasticity in children with cerebral palsy : international consensus statement

limb spasticity in children with cerebral palsy: international consensus statement S. C. Love, I. Novak, M. Kentish, K. Desloovere, F. Heinen, G. Molenaers, S. O Flaherty and H. K. Graham Centre for Musculoskeletal Studies, University of Western Australia, Princess Margaret Hospital, Western Australia; Cerebral Palsy Institute, School of Medicine, University of Notre Dame Australia, Darlinghurst, Sydney, NSW; Queensland Cerebral Palsy Health Service, Department of Paediatric Rehabilitation, Royal Children s Hospital, Brisbane, QLD, Australia; Department of Rehabilitation Sciences, KUL, Leuven, Belgium; Paediatric Neurology & Developmental Medicine, Children s Hospital University of Munich, Munich, Germany; Department of Musculoskeletal Sciences, KUL, Leuven, Belgium; Rehabilitation Dept, Children s Hospital at Westmead, Westmead, NSW, Australia; and University of Melbourne, Department of Orthopaedics and Murdoch Children s Research Institute, The Royal Children s Hospital, Parkville, Vic. , Australia
One day Ahead Short Term Load Forecasting using Artificial Neural Network

This paper presents an Artificial Neural Network based approach for Short-term hourly load forecasting that use the weather factor. Temperature factor is the most important input variables for ANN based load forecasting. To use the temperature factor, we analyze the load pattern which is considered load concentrated period. Load demand is more affected by specific range of the time period which is sensitive range of the temperature. In order to improve accuracy of load prediction, we adjust the temperature weight by analyzing the load pattern and apply it to the input variables for ANN based load demand forecasting model.
Delay Reduction of Detection Algorithms for 5G Massive MIMO System

— Multiple antenna technologies like Multiple-Input Multiple-Output (MIMO) and beamforming will thus play an important role in defining 5G system architectures. In massive MIMO there is a huge number of antenna elements, so there is a need to estimate large channel matrix which introduces much latency. The ultra-high latency and high computation complexity of massive MIMO matrices from 16 to 256 dimensions is the vital bottleneck to realizing latency for channel estimation and MIMO detection. This paper introduces a mechanism to reduce the high computational complexity that causes huge latency. Four algorithms are evaluated to measure their performance. These algorithms are Gauss-Jordan Elimination, Gaussian Elimination, RQ Decomposition and LU Decomposition. MATLAB simulation used to analyze the applied mathematical models. After that measured the BER, delay for each algorithm and evaluate the capacity and throughput, by way, found that the Gaussian Elimination has better delay about 49 percent when RQ Decomposition higher about 95 percent while LU Decomposition highest about 98 percent compared by Gauss-Jordan Elimination. In addition the result show the performance of capacity and throughput for various modulation and coding rate, while the deliverables average capacity about 10 M bit and affected by the situation of the channel, LU has the best performance than others.
Issues in Sentiment analysis

Natural language processing is concerned with artificial intelligence and linguistics. It provides opportunity to interact with computers using human natural languages. There are varieties of applications of NLP. The AI and business intelligence contributes in extraction of meaning and knowledge represented in natural language text. The major areas are online media application, academic application, biomedical application etc. No application claims hundred percent NLP implementation. There are very many difficulties and issues in natural language analysis. In business application and AI, text analysis and text mining is used to extract information and knowledge from the text. Attribute extraction, author identification, text subject identification are some applications in these areas. The sentiment analysis to extract the emotions, feelings in the thought is difficult. This paper discusses the issues in identification of emotions and feelings in the text.
JSP - A Research Signal Processor in Josephson Technology

This paper describes briefly the main architectural and design features of the Josephson Signal Processor (JSP), including its data flow, basic circuit arrangement, and packaging concept. Preliminary partitioning has indicated that, using a 5-µm “single turn logic” technology, the JSP—consisting of about 5000 cells (each with four Josephson junctions) of logic, about 150K bits of nondestructive read out (NDRO) memory, 256K bits of destructive read out (DRO) memory, and 6K bits of read only memory (ROM)—can be packaged in about 20 modules, occupying about 60 cc and consuming about 500 mW of power. The target cycle time for the JSP is 5 ns, with the NDRO and DRO memories having an access/cycle time of about 2.5/4 and 15/30 ns, respectively. Using a 2.5-µm “current injection logic” technology, the JSP—consisting of about 9000 three-junction and 5000 two-junction interferometers—can be packaged in seven modules occupying about 12 cc and will consume about 250 mW of power. The target cycle time for this technology is about 2 ns, with the NDRO and DRO memories having access/cycle times of 0.9/1.4 and 15/30 ns, respectively.
Major characteristics of UWB indoor transmission for simulation

We present a ray tracing approach adjusted for the special purposes of an UWB signal to estimate the characteristics of an indoor channel. Main dependencies between physical parameters involved in an UWB transmission, such as the characteristics of antennas, the duration of signals and the channel properties, are outlined. The simulated results are compared with measurements and finally semi-empirical propagation formula are proposed.
Maintaining a landscape that facilitates range shifts for terrestrial species

Range shifts are a well-documented species response to past episodes of climate change, reflecting a combination of dispersal pressure, suitable new habitat, and a permeable landscape that allows movement. There is abundant evidence that range shifts are already occurring in response to current climate change. They have been detected as expansions upslope and poleward, as downslope movement into riparian areas, or as extremely local movements that take advantage of proximate microclimates. The magnitude and pattern of contemporary range shifts are likely to differ from historic responses to climate because humans have modified the landscape, fragmenting habitats and disrupting natural movements. These modifications create resistance that may prevent species from colonizing new habitat, leading instead to range constrictions. We modeled landscape permeability to reveal where population expansions would be hampered by anthropogenic obstacles, and specifically to examine upslope, northward, and riparian movement patterns to identify key conduits and pinch points that if properly managed might facilitate the range shifts needed for species to adjust to a changing climate. I. Objective and Introduction The goal of this white paper is to describe the mechanisms by which climate change leads to species range shifts, and to understand how those shifts are influenced by the condition of the landscape through which species must move. The information is used to inform a spatially-explicit assessment of landscape permeability (the degree to which the landscape allows species and populations to pass through it) for Eastern North America. We translate the results into conservation priorities and strategies aimed at maintaining a landscape that facilitates range shifts for terrestrial species.
ENCAPSULATION AND RELEASE OF AMINO ACIDS IN DOUBLE ( W / O / W ) EMULSION

1 Chapter 1 Literature review 1.1 Colloidal systems 2 1.2 Emulsions 3 1.3 Double emulsions 3 1.3.1 Preparation 4 1.3.2 Instability 6 1.3. 3 Release of entrapped compounds 7 1.3. 4 Potential uses 9 1.4 Amino acids 10 1.4. 1 Hydrophobicity 11 1.4. 2 Chemical reactivity 12 1.4. 3 Quantification 13 1.4. 4 Encapsulation 13 Chapter 2 Materials and methods 2.1 Materials 14 2.2 Absorbance spectrum analysis 14 2.3 Composition of the water-in-oil-in-water (W1/O/W2) emulsions 15 2.3.1 W1/O/W2 emulsions with low amino acid concentration 15 2.3.2 W1/O/W2 emulsions with high amino acid concentration 15 2.3. 3 W1/O/W2 emulsions with varying hydrophilic surfactant concentration 16 2.4 Preparation of W1/O/W2 emulsion 16 2.4. 1 Water in oil (W1/O) emulsions preparation 16 2.4. 2 W1/O/W2 emulsions preparation 16 2.5 Characterization of W1/O/W2 emulsions 16 2.5. 1 Determination of average droplet size 16 2.5. 2 Water yield determination 17 2.5. 3 Microscopy 18 2.6 Determination of released amino acid 18 2.6. 1 Collection of the external phase 18 2.6. 2 Reaction with TNBS 18 2.6. 3 Method of determination 18 2.6. 3.1 Standard curve determination 18 2.6. 3.2 Determination considering turbidity effect 19 2.7 Model of released amount of amino acids 20 2.8 Statistical analysis 20 Chapter 3 Results and discussion 3.1 Method development for the determination of amino acids in the external phase of W1/O/W2 emulsions 21 3.1.1 Absorbance spectrum test of L-leucine in external phase 21 3.1.2 Amino acid quantification tests 23 3.1.2.1 Test with low amino acid concentration in the internal phase 23 3.1.2.2 Test with high amino acid concentration in the internal phase 25 3.1.2.2.1 Standard curve method 25 3.1.2.2.2 Method considering turbidity effect 26 3.1.2.2.3 Differences between determination methods 31 3.2 Encapsulation efficiency of amino acids in double emulsions 32 3.2.1 Release as function of amino acid properties 32 3.2.1.1 Double emulsion droplet size 32 3.2.1.2 Yield of entrapped water 34 3.2.1.3 Standard curves 35 3.2.1.4 Amino acids release profiles 36 3.2.1.5 Influence of the type of amino acid 38 3.2.2 Release as function of the high HLB emulsifier concentration 41 3.2.2.1 Double emulsion droplet size 41 3.2.2.2 Yield of entrapped water 42 3.2.2.3 Standard curve 43 3.2.2.4 Polysorbate 80 concentration influence in the release of L-leucine 43 3.2.3 Microscopy 45 General Conclusions 47
of IAMU AGA 14 26-28 October 2013 81 THE CHALLENGES TO MET QUALITY AS A RESULT OF THE STCW MANILA AMENDMENTS

One of the most striking changes to the STCW conven tion and its associated code as a result of the 201 0 Manila amendments was the mandating of leadership and team work training. Perhaps this is a reflection of the complexion of the industry which was traditionally manned and man aged under Western-centric values, since the demogr aphic of the industry workforce was largely from the Western hem isphere. This is no longer the case. One might ask why this nontechnical training is now a mandatory requirement w hen it was not in the past. Is there an implication hat the cultures and values embedded in STCW are changing from Weste rn to Eastern now the demographic of seafarers is c hanging? This paper endeavours to discuss what has promoted the call for such changes and the challenges for ME T to address them.
New Developments in the Banking Industry and Their Effects on Marketing and Forecasting Practices

The paper discusses the transition processes in the banking industry with respect to the technological innovations and the te chnological developments, more specifically electronic money (e-money) and In ternet Banking, and their effects on marketing and forecasting practices. Bes ides others, particularly these two innovations have many important effects o n various aspects of life for both individuals and companies including from their spending patterns to payment behaviour (for individuals) and from organi si g their business functions (e.g. marketing) to managerial practices (for companies) (e.g. cash flow forecasting practices). The paper also briefly discusses the effects of these financial innovations on the payment system from va rious standpoints including the transition process from traditional money to emoney, the success of emoney, the change in the demand for traditional mon ey, and the effects of emoney on the banking system. It points out the effe cts and implications of Internet banking and e-money on marketing and other operational activities such as short-term cash flow forecasting as a sales d mand and cash management tool at the same time.
Investigation of OIL wetting agent NG-1 influence on mechanical strength of polymineral sandstones

In the article problems of influence of saturation fluid type on mechanical strength of Priobskoe oil field natural rock samples are examined. Common characteristics of the deposit are given and reasons of wide application of fracturing treatment are explained. Some factors that influence on permeability and porosity of bottomhole formation zone are shown. In particular results of studying of rock pressure influence on permeability and porosity of Priobskoe oil field natural rock samples are given. Moreover in the article results of monoaxial compression experiments of core samples that were saturated with fresh and mineralized water, hydrocarbons and water solutions of oil wetting agent NG-1 are shown. [Gladkov P., Rogatchev M.K. , Maksyutin A.V. Investigation of OIL wetting agent NG-1 influence on mechanical strength of polymineral sandstones. Life Sci J 2014;11(11s):313-316] (ISSN:1097-8135). http://www.lifesciencesite. com. 71
A Study on Development of Information Security Evaluation Model

ABSTRACT The purposes of this study is development of information security evaluation model for governments to analyze domestic and foreign existing models. Recent domestic information security certification systems have several problems, because shortage of organic connectivity each other. Therefore we analysis on domestic and foreign existing models, specify security requirements, evaluation basis and other facts of models, optimize these facts for governments, and develop new model for domestic governments.Key Words:Information Security, Information Security System, Information Security Evaluation, Information Security Check, Information Security Management System, Information Security Evaluation Model 1. 서 론 1) 정보화의 급속한 발달로 정보보호의 중요성에 대한 인식이 증가하고 있으며, 이에 따라 조직은 정보보호정책을 수립하고 다양한 정보보호제품을 활용하여 정보보호수준을 향상시키기 위해 노력하고 있다. 이러한 조직의 정보보호수준을 평가하고 향상시키기 위해 국내·외 정보보호 관련기관에서는 다양한 제도를 개발하여 적용하고 있다. 국내에서는 한국정보보호진흥원이 정보보호 관리체계 인증제도를 2002년부터 운영하고 있으며, 국가정보원에서도 공공기관의 정보보안 관리수준평가를 2006년부터 시범 운영하고 있다. 하지만 이들은 평가인증제도, 정보통신기반보호제도, 정보보호 안전진단제도 등 기존 제도와의 유기적인 연결성 부족으로
CARACTERIZAÇÃO DE MATERIAIS USANDO DADOS DE TOMOGRAFIA COMPUTADORIZADA POR TRANSMISSÃO DE RAIOS GAMA CHARACTERIZATION OF MATERIALS USING COMPUTERIZED TOMOGRAPHIC DATA BY GAMMA RAY TRANSMISSION

Computerized tomography (CT) was originally developed to produce images of transversal sections of the human body, but lately its application in industry has surpassed its application in Medicine. In the last years, the methods employed by CT have been used in various areas, such as in the analyses of soils, in determining the age of trees through measuring their rings, and in investigating structural defects and other fl aws in concrete. In this study, by using data obtained by the Mini Computerized Gama-Ray Tomographer of the University of Sorocaba (MCTU), we installed a new device in the Tri-Dimensional Tomography Program (TTD) that permits to automatically classify elements present in tomographic data, such as the identifi cation of thick aggregates (fl intstones) in samples of concrete. It also allows the calculation of volume, surface areas and position. The information attained by these means can be used as an important tool in the analysis of tomographic data. In this study, we analyzed the techniques used to process the images and we tried to verify the segmentation and classifi cation processes. Finally, we presented some results obtained from the analysis of a “phantom”, especially built to check the new devices, and also the analysis of a sample of concrete.