Miracle-dz/UniFAR-FTUs huggingface dataset:
Sodium Iodide Symporter (NIS) modulation by Tri-iodothyronine (T3) in the Thyroid

Background: Thyroid hormone production by the thyroid is regulated by a negative feedback-loop (Hypothalamic-Pituitary-Thyroid (HPT) axis). Even though thyrocytes exhibit thyroid hormone transporters and receptors, the evidence for direct regulatory effects of THs on thyroid function itself remain scarce. Aim: Our main objective was to determine if and how, T3 directly affects iodide uptake and whether this corresponds to NIS levels. Furthermore, we aimed to elucidate some of the underlying mechanisms through which T3 modulates thyroid function within thyroid follicular cells. Methods: towards the promoter activity involve regions outside the known regulatory regions such as NUE and the finding may important clinical consequences for rhTSH aided radioactive iodide (RAI) therapy in patients with metastases of differentiated thyroid carcinoma. effects of various T3 concentrations representing circulating(1nM), intracellular (10nM) and intrathyroidal (1μM) levels at different time points (up to 4 days) and to study the mechanisms involved. The clinical relevance of our study is that RAI therapy for DTC patients with metastases requires high TSH levels to stimulate iodide uptake. This can be realized either by discontinuation of levothyroxine therapy or by the application of recombinant human TSH (rhTSH) during levothyroxine therapy. rhTSH preparation is based
REMOVING PRETEND REVIEWS AND RECOMMENDS A PRODUCT/SERVICES SUPPORTED SENTIMENTS OF REVIEWER

— The Online looking expertise has opened the new ways in which of business and looking. As E-commerce trend is growing apace, it's terribly tough to urge precise reviews for any product as most of the reviews aren't as per the wants. Multiple reviews have completely different sentiments as positive, negative or neutral; conjointly some reviews embrace smart rating however dangerous reviews and dangerous rating however smart reviews. This creates conflict and becomes terribly tough to assess any product. this method desires intelligent sentiment analysis that may calculate precise sentiment and provides a precise rating so as to urge an accurate review for the merchandise. This paper can facilitate to know importance of sentiment analysis, language process ideas so as to supply higher intelligence to e-commerce systems.
Modeling and control of complex building energy systems

Building energy sector is one of the important sources of energy consumption and especially in the United States, it accounts for approximately 40% of the total energy consumption. Besides energy consumption, it also contributes to CO2 emissions due to the combustion of fossil fuels for building operation. Preventive measures have to be taken in order to limit the greenhouse gas emission and meet the increasing load demand, energy efficiency and savings have been the primary objective globally. Heating, Ventilation, and air-conditioning (HVAC) system is a major source of energy consumption in buildings and is the principal building system of interest. These energy systems comprising of many subsystems with local information and heterogeneous preferences demand the need for coordination in order to perform optimally. The performance required by a typical airside HVAC system involving a large number of zones are multifaceted, involves attainment of various objectives (such as optimal supply air temperature) which requires coordination among zones. The required performance demands the need for accurate models (especially zones), control design at the individual (local-VAV (Variable Air Volume)) subsystems and a supervisory control (AHU (Air Handling Unit) level) to coordinate the individual controllers. In this dissertation, an airside HVAC system is studied and the following considerations are addressed: a) A comparative evaluation among representative methods of different classes of models, such as physics-based (e.g., lumped parameter autoregressive models using simple physical relationships), data-driven (e.g., artificial neural networks, Gaussian processes) and hybrid (e.g., semi-parametric) methods for different physical zone locations; b) A framework for control of building HVAC systems using a methodology based on power shaping paradigm that exploits the passivity property of a system. The system dynamics are expressed in the Brayton-Moser (BM) form which exhibits a gradient structure with the mixed-potential function, which has the units of power. The power shaping technique is used to synthesize the controller by assigning a desired
3D Pursuit-Evasion for AUVs

In this paper, we consider the problem of pursuit-evasion using multiple Autonomous Underwater Vehicles (AUVs) in a 3D water volume, with and without simple obstacles. Pursuit-evasion is a well studied topic in robotics, but the results are mostly set in 2D environments, using unlimited line of sight sensing. We propose an algorithm for range limited sensing in 3D environments that captures a finite speed evader based on one single previous observation of its location. The pursuers are first moved to form a maximal cage formation, based on their number and sensor ranges, containing all of the possible evader locations. The cage is then shrunk until every part of that volume is sensed, thereby capturing the evader. The pursuers need only limited sensing range and low bandwidth communication, making the algorithm well suited for an underwater environment.
Destructive distillation of biomass

Energy is considered as a basis for the progress and prosperity of nation’s economy. The limited supply of fossil fuels and greenhouse gas emissions affects the environment which reinforced the importance of biomass as an energy source in developed and developing countries. People have led to increase interest in the conversion of biomass into usable products such as fuels. Of the various technologies, thermochemical processing particularly pyrolysis have been identified as process having significant potential for converting biomass into fuels. The features of pyrolysis processes, products and advanced technologies are overviewed in this paper for focusing on the prospects, constraints and necessities for successful implementation in future.
Real-Time HIFU Treatment Monitoring Using Pulse Inversion Ultrasonic Imaging

Real-time monitoring of high-intensity focused ultrasound (HIFU) surgery is essential for safe and accurate treatment. However, ultrasound imaging is difficult to use for treatment monitoring during HIFU surgery because of the high intensity of the HIFU echoes that are received by an imaging transducer. Here, we propose a real-time HIFU treatment monitoring method based on pulse inversion of imaging ultrasound; an imaging transducer fires ultrasound twice in 0° and 180° phases for one scanline while HIFUs of the same phase are transmitted in synchronization with the ultrasound transmission for imaging. By doing so, HIFU interferences can be eliminated after subtracting the two sets of the signals received by the imaging transducer. This function was implemented in a commercial research ultrasound scanner, and its performance was evaluated using the excised bovine liver. The experimental results demonstrated that the proposed method allowed ultrasound images to clearly show the echogenicity change induced by HIFU in the excised bovine liver. Additionally, it was confirmed that the moving velocity of the organs in the abdomen due to respiration does not affect the performance of the proposed method. Based on the experimental results, we believe that the proposed method can be used for real-time HIFU surgery monitoring that is a pivotal function for maximized treatment efficacy.
Estimating vehicle speed using single inductive loop detectors

This paper describes five techniques for estimating vehicle speeds using the digital output produced by a 2 m by 1·5 m single inductive loop detector sampled every 250 ms. The accuracy of each technique was then assessed on two further 2 m by 1·5 m loops fitted in single carriageways and two 2 m by 6·5 m loops spread over two carriageways. One-way ANOVA (Analysis of Variance) tests showed that there were highly significant differences between the estimation techniques in the mean deviations from the measured speeds over all four detectors during the peak period (08:00–08:50). Mean absolute percentage deviations (MAPD) from the measured speeds of between 18·8% and 47·5% were returned with an overall average of 28·4%. Settling on one technique, power regression of average loop-occupancy time per vehicle (ALOTPV) data reduced this to 22·7% based on three estimates. The poor results obtained from detector 3214K1 (MAPD of 38·9%), situated immediately downstream from a signalised pedestrian crossing, indicate t.
Adaptive Observer Based Control for Roof-Top Solar PV System

In this paper, the multifunctional adaptive observer-based control scheme is proposed for double-stage grid interacted solar energy conversion system with distribution static compensator (DSTATCOM) abilities. The adaptive observer based control scheme facilitates the manifold power quality (PQ) functionalities in the distribution grid such as grid currents balancing, unity power factor, harmonics compensation, adaptive dc-link voltage regulation, etc. The dc-link voltage is varied adaptatively in proportion to the common coupling point voltage to reduce switching losses in the voltage source converter and to evade its tripping in weak distribution grid. The global asymptotic stability of the adaptive observer is demonstrated with zero steady-state error using passivity, Lyapunov stability theory, and LaSalle's invariance principle. To verify the effectiveness of the proposed control scheme, an experimental prototype is realized in the laboratory under manifold dynamic conditions such as load currents imbalancing, variation of solar irradiations, DSTATCOM-SPVA (solar photovoltaic array) mode, SPVA-DSTATCOM mode, under voltage, over voltage distorted grid conditions. The experimental comparative performances of the system, are demonstrated to validate the effectiveness of the proposed control strategy over conventional control scheme under distorted grid voltages and dynamic operating conditions. Moreover, the loss analysis between adaptive and fixed dc-link voltages is analyzed for double stage SPVA system.
of Lck Directs the Spatial Distribution and Activity The Late Endosomal Transporter CD222

The spatial and temporal organization of T cell signaling molecules is increasingly accepted as a crucial step in controlling T cell activation. CD222, also known as the cation-independent mannose 6-phosphate/insulin-like growth factor 2 receptor, is the central component of endosomal transport pathways. In this study, we show that CD222 is a key regulator of the early T cell signaling cascade. Knockdown of CD222 hampers the effective progression of TCR-induced signaling and subsequent effector functions, which can be rescued via reconstitution of CD222 expression. We decipher that Lck is retained in the cytosol of CD222-deﬁcient cells, which obstructs the recruitment of Lck to CD45 at the cell surface, resulting in an abundant inhibitory phosphorylation signature on Lck at the steady state. Hence, CD222 speciﬁcally controls the balance between active and inactive Lck in resting T cells, which guarantees operative T cell effector functions. The Journal of Immunology , 2014, 193: 000–000.
Goodness of fit tests on the basis of the kernel quantile estimators in dose-effect relationship

Abstract: − A simple, nonparametric sample test for equality of a given quantile function is developed which can be applied to a variety of the kernel distribution function estimators for dose-effect relationship data. The test statistic based on a composition of a kernel estimate of the quantile function with a common distribution function estimate. Also test based on a weighted L2-distance. In the given report we develop theoretical and computer research of this goodness of fit tests for the dose-effect relationship. The asymptotic normality of the corresponding test statistic is established under the null hypothesis. The obtained results can be used for interlaboratory comparison of results of effective dose estimation. A simple simulation study demonstrates that the moderate sample size properties of this procedure are reasonable.
RAINFALL EFFECTS ON WATER USE AND YIELD OF COCOA IN NIGERIA.

Weather hazards pose considerable danger to cash crops production, farmers suffers major loses in income due to the poor yield associated with the weather problems. This study examined the effects of rainfall on water use and yield of cocoa in Nigeria and other variables such as producer prices, exchange rate and level of national income (GDP). The effect of total rainfall, producer prices, exchange rate and GDP on the yields of Cocoa was estimated for the period 1970-2003 in Nigeria. The methods of analysis employed in the study were mainly error-correction model (ECM) within the context of co-integration theory. Also, results showed that all the variables are not stationary at their levels and thus, a need for differencing once to attain stationarity. Statistical significance of the error-correction terms for the yield validates the existence of an equilibrium relationship among the variables in each of these co-integrating vectors. However, rainfall, producer price, and GDP were the most significant factors influencing the yield of cocoa. Efforts to boost the production of cocoa will need to incorporate policy measures to improve producer prices, address the problem of global warming and create enabling environment for local industries and income redistribution for all and sundry that would increased country’s GDP.
Towards a Metrics Model for DevOps, results of a case study in an industrial company

—Recently in the software industry, a methodology called DevOps has emerged, which aims at the integration of software development and deployment (i.e., operations/maintenance) to improve the performance of the overall software process. DevOps contributes to the multi-dimensional problem of software integration, approaching this problem from an organizational point of view. DevOps originates from lean and agile methodologies and stresses the improvement of the entire process flow, overall product quality improvement based on customer feedback. This paper presents a case study at Philips IT The Netherlands on the implementation of DevOps, in particular on the iterative identification and specification of a metrics model to monitor the effectiveness of DevOps.
Comparison of Reconstruction Algorithms for Sparse Signal Recovery from Noisy Measurement

: Compressive sensing is a technique that can reconstruct sparse signals under Nyquist rate. This study is about comparison of widely used sparse signal reconstruction algorithms under noisy measurements. Three algorithms, Orthogonal Matching Pursuit, Compressive Sensing Matching Pursuit and Primal Dual Interior Point method are used to reconstruct sparse signal from noisy measurement and performance results are compared. Firstly, a sparse signal is sampled under Nyquist rate and observation vector is obtained. After that, white Gaussian noise is added to this observation vector. Then, sparse reconstruction algorithms are employed to reconstruct the original signal from noisy measurement. These algorithms are tested for various measurement number and sparsity levels. Test conditions are same for all algorithms. Finally some performance metrics results related to reconstructed signal are obtained. These performance metrics are mean squared error, correlation of the reconstructed signal and original signal, reconstruction time of the algorithms and iteration numbers. According to these metrics, when sparsity level is very smaller than measurement number, Orthogonal Matching Pursuit has better results than others. However, when sparsity level is increased and close to measurement number, Primal Dual Interior Point method has better performance than others in terms of reconstruction a sparse signal from noisy measurement.
SURVEY ON VITALITY RANKING IN SOCIAL NETWORKING SERVICES

-Several users keep interacting with one another on a daily basis. One fascinating and necessary downside within the social networking services is to rank users supported their vitality in a very social networking services are current at several on-line communities like twitter.com and weibo.com. Associate in nursing correct ranking list of user vitality may benefit several parties in social network services like the ads suppliers and web site operators. Though it’s terribly promising to get a vitality-based ranking list of users, there square measure several technical challengers because of the big scale and dynamics interactions among users on social networks. Samples of social network embrace however don’t seem to be restricted to social networks in micro blog sites and academic collaboration networks.
Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements

Important characteristics for the sound quality of loudspeakers like frequency response and directivity are determined by the size, geometry and material parameters of the components interfacing the acoustic field. The higher-order modes after cone break-up play and important role in wideband transducers and require a careful design of the cone, surround and other soft parts to achieve the desired performance. Finite Element Analysis is a powerful simulation tool but requires accurate material parameters (complex Young’s modulus as a function of frequency) to provide meaningful results. This paper addresses this problem and provides optimal material parameters by fitting the FEA model to an existing loudspeaker prototype measured by Laser vibrometry. This method validates the accuracy of the FEA simulation and gives further information to improve the modeling.
Epidermal Growth Factor VIII Rescue Septic Animals Via Milk Fat Globule Immature Dendritic Cell-Derived Exosomes

Sepsis, a highly lethal systemic inﬂammatory syndrome, is associated with increases of proinﬂammatory cytokines (e.g., TNF- (cid:1) , HMGB1) and the accumulation of apoptotic cells that have the potential to be detrimental. Depending on the timing and tissue, prevention of apoptosis in sepsis is beneﬁcial; however, thwarting the development of secondary necrosis through the active removal of apoptotic cells by phagocytosis may offer a novel anti-sepsis therapy. Immature dendritic cells (IDCs) release exosomes that contain milk fat globule EGF factor VIII (MFGE8), a protein required to opsonize apoptotic cells for phagocytosis. In an experimental sepsis model using cecal ligation and puncture, we found that MFGE8 levels decreased in the spleen and blood, which was associated with impaired apoptotic cell clearance. Administration of IDC-derived exosomes promoted phagocytosis of apoptotic cells and signiﬁcantly reduced mortality. Treatment with recombinant MFGE8 was equally protective, whereas MFGE8-deﬁcient mice suffered from increased mortality. IDC exosomes also attenuated the release of proinﬂammatory cytokines in septic rats. Liberation of HMGB1, a nuclear protein that contributes to inﬂammation upon release from unengulfed apoptotic cells, was prevented by MFGE8-mediated phagocytosis in vitro. We conclude that IDC-derived exosomes attenuate the acute systemic inﬂammatory response in sepsis by enhancing apoptotic cell clearance via MFGE8. The Journal of Immunology,
A REVIEW OF WIRELESS POWER TRANSFER SYSTEM USING INDUCTIVE AND RESONANT COUPLING

Wireless Power Transfer (WPT) using Magnetic Resonance Coupling (MRC) caught the significant attention from the researchers in academia and industries worldwide due to its higher power transfer efficiency especially at medium distances. In this regard, various circuit topologies have been proposed for further improving the efficiency. This review emphasizes the efficiency analysis of WPT system using circuit equations. This literature survey covers the two, three and four coils WPT system. In addition, review of multiple coils WPT structure is also presented. Frequency decrease analysis, impedance matching and frequency splitting phenomenon are also discussed. The two operating principles, maximum power transfer and maximum energy efficiency are described. This is followed by safety standard for WPT technology. Finally, a comparison of Inductive Wireless Power Transfer (IWPT) and Resonant Wireless Power Transfer (RWPT) is provided. This review will be helpful for the readers to understand the circuit structures and operating principles of the WPT technology.
Analytical Study on the Optimization of Crop Nutrients Using the Randomized Complete Block Design Model

— This paper attempts to evaluate the application of randomized complete block design (RCBD) model in improving crop production. Data for the study was sourced from an experiment that lasted for three weeks. The data were analyzed using SPSS package. After exploring the concept of the RCBD technique, the response of the soil nutrient to the treatment of the various manure types revealed that, there was a significant difference on crop yield with respect to the type of manure treatment applied at P < 0.05, [F 39.719, P = 0.000]. Post Hoc pairwise comparison using the Tukey HSD test method indicated that, the mean score for poultry waste treatment effect was significantly different from every other manure type, also the mean score for NPK fertilizer was significantly different from the effect of palm waste, cattle dung, green manure and the control effects. Collectively, the findings of the study revealed that poultry waste application is effective in improving soil nutrients on the growing of crops.
Hybrid-Grained Dynamic Load Balanced GEMM on NUMA Architectures

The Basic Linear Algebra Subprograms (BLAS) is a fundamental numerical software and GEneral Matrix Multiply (GEMM) is the most important computational kernel routine in the BLAS library. On multi-core and many-core processors, the whole workload of GEMM is partitioned and scheduled to multiple threads to exploit the parallel hardware. Generally, the workload is equally partitioned among threads and all threads are expected to accomplish their work in roughly the same time. However, this is not the case on Non-Uniform Memory Access (NUMA) architectures. The NUMA effect may cause threads to run at different speeds, and the overall executing times of GEMM is determined by the slowest thread. In this paper, we propose a hybrid-grained dynamic load-balancing method to reduce the harm of the NUMA effect by allowing fast threads to steal work from slow ones. We evaluate the proposed method on Phytium 2000+, an emerging 64-core high-performance processor based on Arm’s AArch64 architecture. Results show that our method reduces the synchronization overhead by 51.5% and achieves an improvement of GEMM performance by 1.9%.