Miracle-dz/UniFAR-FTUs huggingface dataset:
STRESS HETEROGENEITY AND NATURAL FRACTURES IN THE BASEL EGS GRANITE RESERVOIR INFERRED FROM AN ACOUSTIC TELEVIEWER LOG OF THE BASEL-1 WELL

Knowledge of the state of stress and the natural fracture system in the subsurface are pre-requisite pieces of information to model and understand the behavior of Engineered/Enhanced Geothermal Systems during stimulation and subsequent operation. This information is also critical to understanding induced seismicity. An ultrasonic borehole image (UBI) log acquired prior to the stimulation of the BS1 well at Basel provides high quality information for characterizing the in-situ stress field and fracture system in the host granite of the reservoir. We present evidence derived from borehole breakouts and drilling induced fractures visible on the UBI log that the stress profile within the BS1 well prior to stimulation displayed a significant level of complexity. We use a new methodology based upon critical stress theory to estimate the minimum and maximum horizontal stress magnitudes. The stress orientation and stress magnitudes fluctuate over the meter to hundreds of meter scales, with fluctuations demonstrably correlated to the occurrence of natural fractures visible on the UBI log. The complexity of the stress field in BS1 contrasts with approximation commonly used in numerical models, that the pre-stimulation state of stress in the subsurface has a constant orientation and magnitudes that vary in a linear manner with respect to depth. These approximations appear valid only in the long-wavelength limit. The findings suggest that the numerical simulation of the EGS reservoir stimulation process using physical models to estimate seismic hazard and permeability creation should include consideration of the complexity of the initial stress conditions
Sensitivity-based external equivalent for reliability assessment of subtransmission & distribution systems

It is well known that topology changes in a power system strongly influences the results of reliability assessment studies. Besides, it is obvious that the topology of an external system also affect the reliability of the internal system through changes on the power flows within the rest of the system, and hence, through changes on the tie lines. In order to properly model the interconnection between the internal network and the rest of the system, an adaptive external equivalent model, obtained from the sensitivity matrix between tie-line power flows and injected powers, is proposed for reliability assessment studies. The proposed technique has been applied to the IEEERTS, and test results show that the proposed methodology is suitable both for planning studies and for 24-hour-ahead reliability assessment studies.
Service-Oriented Search Algorithm on Data Grid

A service-oriented architecture provides a standards-based platform that allows services to be provided, discovered, configured and integrated, to facilitate the creation of a business process. Data Grid is a service-oriented architecture that provides the coordinated search services for data distributed across remote resources. Research and development activities relating to the Grid have generally focused on application where data is stored in database which is called Hidden Web. To answer user queries, a data integration system employs a set of request semantic analyzing, keywords searching and model creating on Grid. This paper presents a novel model of searching, which the database is an undirected graph, of which each node correspond to a tuple of the database, and each edge correspond to a "primary key-foreign key" link. Results to a query are modeled as answer trees connecting tuples that match individual keywords in the query. This paper also presents a novel and efficient searching algorithm of dynamic programming, and the algorithm is employed in authors model to ensure the Top-1 answer tree optimal and Top-K answer trees nearly optimal. Finally, the algorithm's performance is tested and evaluated.
Residues and Dissipation Kinetics of Two Imidacloprid Nanoformulations on Bean (Phaseolus vulgaris L.) under Field Conditions

The current study investigates the dissipation kinetics of two imidacloprid (IMI) nanoformulations (entitled: Nano-IMI and Nano-IMI/TiO2) on common bean (Phaseolus vulgaris) seeds under field conditions and compares them with 35% Suspension Concentrate (SC) commercial formulation. To do so, it sprays P. vulgaris plants at 30 and 60 g/ha within green bean stage, sampling them during the 14-day period after the treatment. Following extraction and quantification of IMI residues, dissipation data have been fitted to simple-first order kinetic model (SFOK) and to first-order double-exponential decay (FODED) models, with 50% and 90% dissipation times (DT50 and DT90, respectively) assessed along the pre-harvest interval (PHI). With the exception of Nano-IMI at 60 g/ha, other decline curves are best fitted to the FODED model. In general, dissipation is faster for Nano-IMI (at 30 g/ha: DT50 = 1.09 days, DT90 = 4.30 days, PHI = 1.23 days; at 60 g/ha: DT50 = 1.29 days, DT90 = 4.29 days, PHI = 2.95 days) and Nano-IMI/TiO2 (at 30 g/ha: DT50 = 1.15 days, DT90 = 4.40 days, PHI = 1.08 days; at 60 g/ha: DT50 = 0.86 days, DT90 = 4.92 days, PHI = 3.02 days), compared to 35% SC (at 30 g/ha: DT50 = 1.58, DT90 = 6.45, PHI = 1.93; at 60 g/ha: DT50 = 1.58 days, DT90 = 14.50 days, PHI = 5.37 days). These results suggest the suitability of Nano-IMI and Nano-IMI/TiO2 application at both rates in terms of their residues on P. vulgaris seeds.
- 15-5-fluorouracil-inducible proteins in a colorectal cancer cell line

5-fluorouracil (5-FU) is the most common chemotherapeutic agent used in the treatment of colorectal cancer. To understand the intracellular changes induced by 5-FU, we attempted to identify the specific proteins affected using a proteomics analysis. A human colorectal carcinoma cell line, WiDr, was treated with 1.0 μM 5-FU. After 24-72 h, the cellular proteins were analyzed by two-dimensional gel-electrophoresis in combination with ESI Q-TOF mass spectrometry. A differential display of the proteins using a computer-aided image analysis revealed several protein spots that varied in quantity after 5-FU exposure. The up-regulated proteins were heat shock protein (hsp) 70 protein 5, hsp60 protein 1 and thyroid hormone-binding protein precursor, while the down-regulated proteins were lactate dehydrogenase (LDH)-A and gamma-synuclein. The distributions of these five protein varied widely, and included the cytoplasm, mitochondria, endoplasmic reticulum and plasma membrane. The results of this study demonstrate that hsp70, hsp60, thyroid hormone-binding protein precursor, LDH-A and gamma-synuclein may represent candidates for diagnostic and prognostic markers. Furthermore, the results demonstrate that the protein expression profile of colon cancer cells can be used to establish the potential of this methodology as a means by which rational decisions regarding the choice of therapy can be approached.
Experimental Demonstration of Three-Photon Coherent Population Trapping in an Ion Cloud

A novel protocol of interrogation based on coherent population trapping in an N-level scheme atomic system leads to dark resonances involving three different photons. An ensemble of several hundreds of radio-frequency trapped Ca+ ions is probed by three lasers simultaneously locked onto the same optical frequency comb, resulting in high-contrast spectral lines referenced to an atomic transition in the THz domain. We discuss the cause of uncertainties and limitations for this method and show that reaching a sub-kHz resolution is experimentally accessible via this interrogation protocol.
On a Liouville Type Theorem for Isotropic Homogeneous Fully Nonlinear Elliptic Equations in Dimension

In this paper we establish a Liouville type theorem for fully nonlinear elliptic equations related to a conjecture of De Giorgi in R2. We prove that if the level lines of a solution have bounded curvature, then these level lines are straight lines. As a consequence, the solution is one-dimensional. The method also provides a result on free boundary problems of Serrin type. Mathematics Subject Classification (2000): 35J40 (primary), 35J30, 35J65, 35R35, 35J99 (secondary).
In the absence of information, 1/n investment makes perfect sense

When people have several possible investment instruments, people often invest equally into these instruments: in the case of n instruments, they invest 1/n of their money into each of these instruments. Of course, if additional information about each instrument is available, this 1/n investment strategy is not optimal. We show, however, that in the absence of reliable information, 1/n investment is indeed the best strategy. 1 1/n Investment: Formulation of the Problem General investment problem. People saving for retirement usually have several options to invest: they can invest in stocks, they can invest in bonds, they can invest in funds that combine stocks and bonds, etc. An important decision is how to allocate money between different financial instruments, i.e., how much money should we invest in each of the instruments. Markowitz’s solution. A solution to this problem was proposed in 1952 by the future Nobelist H. M. Markowitz [4]. He actually solved two different versions of the investment problem: • the first version is when we want to achieve a certain expected growth rate, and within this expected rate, we select an investment portfolio that minimizes the risk (as measured by the standard deviation of the growth rate); • the second version is when we fix the risk level, and within this risk level, we select an investment portfolio that maximizes the expected growth rate. What is 1/n investment. In the absence of reliable information, people tend to divide their investment amount equally between different investment options:
Netlab Algorithms For Pattern Recognition

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A comparison of mineral elements content in conventional and organic milk from Southern Poland

Milk is one of the most important foodstuffs and raw materials in the food industry. As the first complete food available to infant mammals, it is bioactive and it contains all the indispensable nutrients. Organic farming is deemed to produce high quality food under sustainable conditions and, at the same time, to protect the natural environment within the farm. However, the most recent food and nutrition research does not confirm the extensive health benefits related to the consumption of organic products. The objective of the research study was to evaluate and compare the quality of commercial organic and conventional cow’s milk as regards the contents of some selected mineral compounds. The research was conducted on the organic and conventional cow’s milk available on the market in Southern Poland. The milk samples were analysed for the concentration of selected minerals contained therein, including some selected toxic metals; the analyses were performed with the use of flame atomic absorption spectrometry, atomic emission spectrometry, and graphite furnace atomic absorption spectrometry. The results of the research show that, in terms of the contents of micro- and macroelements, the organic and conventional milk do not differ significantly. The differences were found only between the amounts of sodium and manganese. The organic milk contained, on average, a statistically significantly smaller amount of those elements. Moreover, the presence of lead was detected in one type of the organic milk, although its amount determined (5.24 mg/l) was within the acceptable limits. Cadmium (amounting to 0.12 and 0.15 μg/l) was found in the two types of milk derived from the same company and in one type of organic milk; however, its concentration in the latter milk type was at a relatively low level (0.04 μg/l).
Further information on Primary School Years Cognitive and Sensorimotor assessments

Working memory (WM) is a system for temporarily storing information for on-going processing over short periods of time, and is therefore critical for learning. Children identified as having poor working memory abilities have worse educational outcomes across primary and secondary school [1]. Our WM measures covered both simple and complex working memory within the phonological and visuospatial domains. Participants completed three specific computerised tasks (Forward Digit Recall, Backward Digit Recall and Corsi) that make use of widely used methodologies for assessing these aspects of WM performance.
A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and landcover monitoring

The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large amount of satellite imagery provided, many times free-of-cost, by space agencies worldwide. However, scientists still lack of ways of organizing, structuring and analyzing this colossal amount of remote sensing data in a way that leverages administrative and scientific LULCC monitoring. Hence, an efficient image data storage, query and processing architecture that manages different satellite specifications and climatic conditions is required for generating and sharing updated and area-extensive LULCC information. Furthermore, because reliable LULCC monitoring with remote sensing data requires extensive training and validation analysis performed by humans, the potential of big Earth Observation (EO) data for LULCC monitoring is still limited by the amount and timeavailability of the analysts involved in the project. In this paper, we discuss the potential of Citizen Science for improving the feasibility and effectiveness of LULCC monitoring supported by big EO data architectures. We put forward general ideas on how to promote and stimulate an active involvement of citizens in EO data analytics for LULCC monitoring. For that, we briefly present and critically evaluate how existing approaches that allow citizens to contribute with up-to-date and detailed LULCC information mitigate the issue of exhaustive sampling required in LULCC monitoring with automatic remote sensing image classification.
Bayesian Tire-Friction Learning by Gaussian-Process State-Space Models

This paper addresses learning of the tire-friction curve for road vehicles, using a batch of wheel-speed and inertial measurements. We formulate a Bayesian approach based on recent advances in particle filtering and Markov chain Monte-Carlo methods. The unknown function mapping the wheel slip to tire friction is modeled as a Gaussian process (GP) that is included in a dynamic vehicle model relating the GP to the vehicle state. The approach is nonparametric and learns the probability density function of the tire friction, from which explicit estimates can be extracted. One benefit of the method is that it is not subject to overfitting issues. We illustrate the efficacy of the method for a set of simulated step-steer maneuvers. The results show that the method can accurately identify the nonlinear tire-friction curves, even for a limited amount of data.
Numerical Characterization of the Effects of Flow Rate on Pressure and Velocity Distribution of Pump as Turbine

Small hydropower systems are the best solution for electromechanical components through the use of pump operating at inverse conditions as turbine for power generation in rural settlements of under developed countries especially since its construction and maintenance is cheap. This study investigates the effects of flow rate and internal flow characterization of a model centrifugal pump operating at a rotational speed of n = 1400 rpm with 4 main blades and 4 splitters at a head of 18 (m) and flow of 12.5 (m/h). The experiment and numerical calculations were performed, and pressure and velocity were analysed based on the results obtained. According to the results obtained, velocity increased by movement of flow through the flow passage. As the discharge increased, head decreased but the power required to run the pump increased. Centrifugal pump can perform in reverse mode as a hydro turbine devoid of any modification on mechanical components with a maximum efficiency of 62.07% recorded at Q = 20 m/h. The study helps to recognize the numerical flow characterization and serves as a supporting document to provide vital information on centrifugal pumps to other studies.
Shared Evaluation of Natural Language Queries against Classical Music Scores : A Full Description of the C @ merata 2014 Task

The C@merata 14 Task at MediaEval14 combines natural language processing with search of a classical music score in MusicXML. The input is a short phrase in English and the required output is one or more demarcated passages in the score. The task involved 200 questions of twelve types asked about twenty scores from the Renaissance and Baroque periods. Evaluation was by modified versions of Precision, Recall and FMeasure. The best system was CLAS which had a Beat F-Score of 0.797.
eview anagement of mother-to-child transmission of hepatitis B virus : ropositions and challenges

Chronic hepatitis B virus (HBV) infection due to mother-to-child transmission (MTCT) during perinatal period remains an important global health problem. Despite standard passive–active immunoprophylaxis with hepatitis B immunoglobulin (HBIG) and hepatitis B vaccine in neonates, up to 9% of newborns still acquire HBV infection, especially these from hepatitis B e antigen (HBeAg) positive mothers. Management of HBV infection in pregnancy still need to draw careful attention because of some controversial aspects, including the failure of passive-active immunoprophylaxis in a fraction of newborns, the effect other to child transmission
#DontTweetThis: Scoring Private Information in Social Networks

Abstract With the growing popularity of online social networks, a large amount of private or sensitive information has been posted online. In particular, studies show that users sometimes reveal too much information or unintentionally release regretful messages, especially when they are careless, emotional, or unaware of privacy risks. As such, there exist great needs to be able to identify potentially-sensitive online contents, so that users could be alerted with such findings. In this paper, we propose a context-aware, text-based quantitative model for private information assessment, namely PrivScore, which is expected to serve as the foundation of a privacy leakage alerting mechanism. We first solicit diverse opinions on the sensitiveness of private information from crowdsourcing workers, and examine the responses to discover a perceptual model behind the consensuses and disagreements. We then develop a computational scheme using deep neural networks to compute a context-free PrivScore (i.e., the “consensus” privacy score among average users). Finally, we integrate tweet histories, topic preferences and social contexts to generate a personalized context-aware PrivScore. This privacy scoring mechanism could be employed to identify potentially-private messages and alert users to think again before posting them to OSNs.
A Predictive Control Scheme Based Four-Leg Active Power Filter

The nonlinear loads are connected at the point of common coupling generates the harmonics, which may deteriorate the power quality. The active power filter has been proved to be an effective method to mitigate harmonic currents generated by the nonlinear loads as well as to compensate reactive power. The methods of harmonic current compensation play a crucial part in the performance of active power filter. Traditionally, active power filters have been controlled using pre-tuned controllers, such as PI-type or adaptive, for the control of current as well as the dc-voltage loops. PI controllers must be designed based on the equivalent linear model. Predictive controllers use the nonlinear model, which is closer to real operating conditions in order to improve the performance and life of the power switches of voltage source inverter (VSI), reduces its switching frequency. An active power filter implemented with a 4-leg voltage source inverter using a predictive control scheme is presented in this paper. Predictive current control algorithm is based on the system model. The compensation performance of the proposed active power filter and the associated control scheme under steady state and transient operating conditions is demonstrated through simulations using MATLAB/SIMULINK.
Combined effect of pulsed electromagnetic fields and narrowband ultraviolet B on bone metabolism in glucocorticoid-treated rats

Objective To investigate the combined effect of pulsed electromagnetic fields (PEMFs) and ultraviolet B (UVB) on bone metabolism in glucocorticoid-treated rats. Methods Thirty six female Sprague Dawley rats were randomly divided into control group, GIOP group and PEMFs+UVB group. The rats in GIOP group and PEMFs+UVB group were injected dexamethasone sodium phosphate injection (DXMT) twice a week for 12 weeks, meanwhile, the rats in PEMFs+UVB group were exposed to PEMFs and then UVB once a day for 12 weeks. After 12 weeks of intervention, bone mineral density (BMD) and bone mineral content (BMC) level of the whole body were measured by dual energy X-ray absorptiometry. The serum calcium (Ca), phosphorus (P), alkaline phosphatase (ALP) and urinary calcium (UCa) were determined by automatic biochemical analyzer. The serum tartrate resistant acid phosphatase (TRAP) was determined by TRAP assay kit. The serum 1,25(OH)2D3 and osteocalcin (OC) was determined by enzyme linked immunosorbent assay (ELISA). The serial sections of the fourth lumbar vertebral bodies were stained with Safranin-O/Fast green for histomorphometrical analysis. The mRNA and protein expressions of TRPV5 in bone and kidney tissues were detected by real time-PCR analysis and western blot analysis, respectively. Results After 12week interventions, BMD and BMC levels of the whole body increased in the PEMFs+UVB group, serum ALP, OC and 1,25(OH)2D3 levels also increased in the PEMFs+UVB group. But serum TRAP, UCa levels decreased in PEMFs+UVB group. Histomorphometrical analysis showed that PEMFs+UVB intervention improved percentage of trabecular area (Tb.Ar), trabecular width (Tb.Wi) and trabecular number (Tb.N) by 75.44%, 16.55% and 31.07%, respectively. and reduced trabecular separation (Tb.Sp) by 49.65% compared with the GIOP group. Real time-PCR analysis and western blot analysis showed that PEMFs+UVB intervention increased the mRNA and protein expressions of TRPV5 in kidney tissues, and decreased the mRNA and protein expressions of TRPV5 in bone tissues in glucocorticoid-treated rats. Conclusion PEMFs stimulation combined UVB irradiation can prevent bone loss and improve bone metabolism disorders in glucocorticoid-treated rats.