Miracle-dz/UniFAR-FTUs huggingface dataset:
A double‐blind trial of treatment of seborrhoeic dermatitis with 2% ketoconazole cream compared with 1% hydrocortisone cream

Fifty patients with seborrhoeic dermatitis were treated with 2% ketoconazole cream (n=24) or with 1% hydrocortisone cream (n=26) for 4 weeks in a double‐blind comparative study. These twice daily applications resulted in 87.2% symptomatic improvement for hydrocortisone vs. 81.6% for ketoconazole. The number of P. ovale yeasts was significantly reduced after the application of ketoconazole compared with hydrocortisone. The incidence of side‐effects was low in both groups.
Thermal Cracking of Jatropha Oil with Hydrogen to Produce Bio-Fuel Oil

This study used thermal cracking with hydrogen (HTC) to produce bio-fuel oil (BFO) from jatropha oil (JO) and to improve its quality. We conducted HTC with different hydrogen pressures ( P H2 ; 0–2.07 MPa or 0–300 psig), retention times ( t r ; 40–780 min), and set temperatures ( T C ; 623–683 K). By applying HTC, the oil molecules can be hydrogenated and broken down into smaller molecules. The acid value ( AV ), iodine value, kinematic viscosity ( KV ), density, and heating value ( HV ) of the BFO produced were measured and compared with the prevailing standards for oil to assess its suitability as a substitute for fossil fuels or biofuels. The results indicate that an increase in P H2 tends to increase the AV and KV while decreasing the HV of the BFO. The BFO yield ( Y BFO ) increases with P H2 and t r . The above properties decrease with increasing T C . Upon HTC at 0.69 MPa (100 psig) H 2 pressure, 60 min time, and 683 K temperature, the Y BFO was found to be 86 wt%. The resulting BFO possesses simulated distillation characteristics superior to those of boat oil and heavy oil while being similar to those of diesel oil. The BFO contains 15.48% light naphtha, 35.73% heavy naphtha, 21.79% light gas oil, and 27% heavy gas oil and vacuum residue. These constituents can be further refined to produce gasoline, diesel, lubricants, and other fuel products.
A Study on the Relationship Between Personality and Driving Styles

Objective: Research on driving behavior and personality traits is a key factor in the development of driver-oriented safety interventions. However, research is fragmented and a multidimensional perspective is lacking. The primary aim of this study is to assess the multiple relationships between driving styles and personality traits using the alternative 5-factor model. A secondary goal is to determine whether these relationships vary by gender and age. Methods: Data were collected from a sample of 908 Argentine drivers. Driving styles were assessed using the Multidimensional Driving Style Inventory. Personality was assessed with the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ-50-CC; Aluja et al. 2006) questionnaire. Results: Different patterns of personality are associated with different driving styles. These relationships appear to be robust with respect to gender and age; however, in some cases these variables did influence the observed relationships. Conclusion: The results provide researchers with a more comprehensive understanding of the relationships between personality traits and driving styles. Practical prevention measures are discussed.
Prophylaxis of murine candidiasis via application of liposome-encapsulated amphotericin B and a muramyl dipeptide analog, alone and in combination

The present study was conducted to examine the effect of a lipophilic analog of muramyl dipeptide, 6-O-stearoyl-N-acetylmuramyl-L-alpha-aminobutyryl-D-isoglutamine (6-O-S-Abu-MDP), a macrophage activator, on the prophylactic activity of liposomal amphotericin B (L-AmpB) against disseminated candidiasis in mice. Multilamellar vesicles containing AmpB and (6-O-S-Abu)-MDP were prepared by using dimyristoyl phosphatidylcholine and dimyristoyl phosphatidylglycerol (7:3 molar ratio). Hale-Stoner mice (6 to 8 weeks old) were injected with 7 X 10(5) CFU of Candida albicans 336 isolated from a patient. Groups of mice were injected intravenously with different doses of L-AmpB and L-(6-O-S-Abu)-MDP, individually or in combination, 2 days before challenge with C. albicans. The mice were injected with a fixed dose of L-AmpB (1.2 mg/kg in 400 mg of lipid per kg) and various doses of L-(6-O-S-Abu)-MDP (0.6, 1.2, 2, and 4 mg/kg in 400 mg of lipid per kg) or vice versa. Other control groups included untreated mice and those receiving empty liposomes (400 mg of lipid per kg), free AmpB (0.6 mg/kg), or free (6-O-S-Abu)-MDP (4 mg/kg). The mice receiving L-AmpB (1.2 mg/kg) plus L-(6-O-S-Abu)-MDP (0.6 to 4.0 mg/kg) survived up to 25 to 30 days as compared with those injected with L-AmpB alone (15 days) or with L-(6-O-S-Abu)-MDP alone (10 to 15 days). All the mice in other control groups died within 7 to 11 days. The kidney cultures of the mice that received L-AmpB (4 mg/kg) plus L-(6-O-S-Abu)-MDP (1.2 mg/kg) were free of C. albicans infection, unlike those injected with L-AmpB. Variance analysis of these findings indicates a synergistic activity between L-AmpB and L-(6-O-S-Abu)-MDP in the prophylaxis of candidiasis.
High performance voltage-sensorless model predictive control for grid integration of packed U ceils based PV system

The current energy constraints are pushing researchers to design and optimize power electronic devices for integrating and consuming renewable energy more efficiently. In this paper, a voltage sensorless Model Predictive Control (MPC) solution is proposed for the grid integration of a Packed U Cells (PUC) based PV system. The studied topology is a grid-connected 4-cell 15-level PUC inverter. The control scheme is based on an adaptive observer allowing the appropriate estimation of the capacitors' voltages at each sampling time using the measured grid current. The estimated voltages are then fed to a multi-objective MPC algorithm ensuring the simultaneous regulation of the capacitors' voltages and grid current with low THD. Theoretical analysis and simulation results are given to show the high performance of the proposed solution.
Performance Evaluation of Rate Adaptation Algorithms in 802.11-Based Mesh Networks

Wireless mesh networks (WMNs) have experienced an enormous growth over the past few years. The performance of WMNs depends on the joint effect of both routing algorithms and rate adaptive algorithms. The performance of various routing algorithms has been studied extensively in the literature. However, little work has been done to evaluate the cross-layer impact of rate adaptive algorithms in WMN environments. In this paper, we compare the performance of several rate adaptive algorithms to exploit the multi-hop performance in WMN environments. In addition, a novel rate adaptive algorithm is proposed via the machine learning approach to robustly reflect the channel information. The goal of our design is to maximize the spectral efficiency. Through extensive computer simulations under different channel and topology environments, experimental results demonstrate the proposed algorithm outperforms other existing algorithms in WMN environments.
Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization

In recent years, a number of artificial intelligent services have been developed such as defect detection system or diagnosis system for customer services. Unfortunately, the core in these services is a black-box in which human cannot understand the underlying decision making logic, even though the inspection of the logic is crucial before launching a commercial service. Our goal in this paper is to propose an analytic method of a model explanation that is applicable to general classification models. To this end, we introduce the concept of a contribution matrix and an explanation embedding in a constraint space by using a matrix factorization. We extract a rule-like model explanation from the contribution matrix with the help of the nonnegative matrix factorization. To validate our method, the experiment results provide with open datasets as well as an industry dataset of a LTE network diagnosis and the results show our method extracts reasonable explanations.
Loading Neurons with Dextran‐Conjugated Calcium Indicators in Intact Nervous Tissue

This unit describes methods for filling populations of neurons and their processes, including presynaptic terminals, with dextran‐conjugated calcium indicators in central nervous tissue of mammals and lower vertebrates. Techniques for filling neurons in vivo for subsequent analysis either in vivo or in brain slices or en bloc preparations are described. These methods are also suitable for staining neurons in acute and organotypic brain slices.
Is Decreased Treatment Time in Hemodialysis Patients Harmful if Solute Clearance is Maintained?

An association between decreased duration of hemodialysis and increased morbidity and mortality in patients has been suggested. Whether this is due only to decreased solute clearance is unclear. In this prospective randomised study the effect of reducing treatment time whilst maintaining constant solute clearance was examined in fourteen patients. The study lasted for a period of 36 weeks (3×12 week study periods) and used a crossover design. The patients dialysis prescription (Kt/V) was not changed on entering the study and was maintained during short (150 minutes) and long dialysis (240 minutes) by varying blood flow, dialysate flow and dialyzer surface area. The delivered Kt/V was kinetically assessed. Fractional urea clearance was also measured during each treatment period by measurement of urea concentration in spent dialysate and total body water using 3H2O. At the end of each treatment period a full biochemical and hematological profile, nutritional intake and status, 24 h ambulatory blood pressure, nerve conduction studies, and quality of life questionnaire were performed. Within patients the delivered single pool Kt/V was uniform throughout the 3 treatment periods and fractional urea clearance did not vary. However, Kt/V assessed using equilibrated models (Daugardis and Smye) was significantly lower in the short dialysis period. No differences between short and long dialysis sessions were noted in any of the measured variables. Thus, over a 36 week period there is no evidence to suggest that hemodialysis patients are adversely affected by decreased duration of treatment provided that solute clearance is maintained.
Intelligent Behavior in Problem-Solving Machines

As one step in the study of intelligent behavior in machines, the authors consider the particular case of a machine that can prove theorems in elementary Euclidean plane geometry. The device uses no advanced decision algorithm, but relies rather on rudimentary mathematics and "ingenuity" in the manner, for example, of a clever high-school student. This paper discusses heuristic methods and learning machines and introduces the concept of a theory machine as an extension of a theorem-proving machine.
Interference-aware relay in hybrid wireless networks

We develop an interference-aware relaying scheme in hybrid wireless networks. The scheme is derived from the optimization model which generalizes the multi-hop package delivery problem in hybrid wireless networks. It aims at minimizing the network costs via optimal power loading and relaying route. Besides, the new cost model considering interference impact is an advance on the basis of our previous work. The advanced model takes non-uniform traffic and interference distribution into account. As a result, the relaying scheme is applicable to the scenarios which are more general. The simulation result shows that the proposed scheme is adaptive to traffic with different features. It can automatically balance the traffic loads and significantly improve the performance of the hybrid network. In the best case, the spectral efficiency of the network employing the hybrid scheme reaches 4.3 bit/s/Hz/cell compared to 2.4 bit/s/Hz/cell for the traditional cellular mode in the same case.
Mining drug targets based on microarray experiments

Life science industry has been flourished with the explosion of online Bioinformatics databases and tools, which can affect the drug discovery process and development. The integration of unstructured data, available in biomedical literature (i.e. PubMED), and structured data, existing in biological databases, by applying both text and data mining techniques is a very critical issue in order to identify selected desirable genes or drug targets. The current work describes a system, drug target integrative miner (DruTiMine), which aims at providing a service to enhance and shorten the process of drug target discovery for pharmaceutical companies and research labs concerned with drug discovery. The system applies both the capabilities of text mining and data mining techniques for drug target discovery through integration of multiple biomedical resources, related to a specific disease, and mining the association among them. Furthermore, an association rule mining algorithm, multi-basket miner, has been developed in order to discover associations of categories having multiple values.
Studies on a murine ascites-producing agent and its effect on tumor development.

Summary A microsporidian infection of low pathogenicity in mice has been found to retard the growth of a variety of transplantable tumors and significantly prolong survival of hosts, including those bearing carcinogen-induced tumors. Resistance to tumor development remained after the hosts had recovered from the infection, but gradually waned with time. The infection did not induce resistance to Salmonella. The possible mechanisms by which the protozoan infection affects tumor development are discussed.
The Estimates of Retinal Ganglion Cell Counts Performed Better than Isolated Structure and Functional Tests for Glaucoma Diagnosis

Purpose To evaluate the diagnostic accuracy of retinal ganglion cell (RGC) counts as estimated by combining data from standard automated perimetry (SAP) and spectral domain optical coherence tomography (SD-OCT). Methods Healthy individuals and glaucoma patients were included in this cross-sectional study. All eyes underwent 24-2 SITA SAP and structural imaging tests. RGC count estimates were obtained using a previously described algorithm, which combines estimates of RGC numbers from SAP sensitivity thresholds and SD-OCT retinal nerve fiber layer (RNFL) average thickness. Results A total of 119 eyes were evaluated, including 75 eyes of 48 healthy individuals and 44 eyes of 29 glaucoma patients. RGC count estimates performed better than data derived from SD-OCT RNFL average thickness or SAP mean deviation alone (area under ROC curves: 0.98, 0.92, and 0.79; P < 0.001) for discriminating healthy from glaucomatous eyes, even in a subgroup of eyes with mild disease (0.97, 0.88, and 0.75; P < 0.001). There was a strong and significant correlation between estimates of RGC numbers derived from SAP and SD-OCT (R2 = 0.74; P < 0.001). Conclusion RGC count estimates obtained by combined structural and functional data showed excellent diagnostic accuracy for discriminating the healthy from the glaucomatous eyes and performed better than isolated structural and functional parameters.
B‐Myb protein in cellular proliferation, transcription control, and cancer: Latest developments

Since its isolation exactly a decade ago, B‐Myb has intrigued a growing number of scientists interested in understanding the mechanisms of cell proliferation. In many aspects the B‐Myb story resembles that of a fashionable transcription factor involved in cell cycle control: E2F‐1. Similar to E2F‐1, B‐Myb is a transcription factor whose expression is regulated at the G1/S border of the cell cycle. Given the ubiquitous expression of B‐Myb within different cell types, its link with the cell cycle, and augmented expression in transformed cells, studies are in progress to define the potential role of B‐Myb in human cancer. The purpose of this review is not to provide an extensive background to the B‐Myb field but rather to describe the latest developments. A comprehensive outline of B‐Myb structure and function can be found in the review by Saville and Watson (1998a, Adv. Cancer Res., 72:109–140). J. Cell. Physiol. 179:245–250, 1999. © 1999 Wiley‐Liss, Inc.
SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators

Special-purpose propagators speed up solving logic programs by inferring facts that are hard to deduce otherwise. However, implementing special-purpose propagators is a non-trivial task and requires expert knowledge of solvers. This paper proposes a novel approach in logic programming that allows (1) logical specification of both the problem itself and its propagators and (2) automatic incorporation of such propagators into the solving process. We call our proposed language P[R] and our solver SAT-to-SAT because it facilitates communication between several SAT solvers. Using our proposal, non-specialists can specify new reasoning methods (propagators) in a declarative fashion and obtain a solver that benefits from both state-of-the-art techniques implemented in SAT solvers as well as problem-specific reasoning methods that depend on the problem's structure. We implement our proposal and show that it outperforms the existing approach that only allows modeling a problem but does not allow modeling the reasoning methods for that problem.
Temperature sensitivity of organic carbon mineralization in contrasting lake sediments

Temperature alone explains a great amount of variation in sediment organic carbon (OC) mineralization. Studies on decomposition of soil OC suggest that (1) temperature sensitivity differs between the fast and slowly decomposition OC and (2) over time, decreasing soil respiration is coupled with increase in temperature sensitivity. In lakes, autochthonous and allochthonous OC sources are generally regarded as fast and slowly decomposing OC, respectively. Lake sediments with different contributions of allochthonous and autochthonous components, however, showed similar temperature sensitivity in short‐term incubation experiments. Whether the mineralization of OC in lake sediments dominated by allochthonous or autochthonous OC has different temperature sensitivity in the longer term has not been addressed. We incubated sediments from two boreal lakes that had contrasting OC origin (allochthonous versus autochthonous), and OC characteristics (C/N ratios of 21 and 10) at 1, 3, 5, 8, 13, and 21°C for five months. Compared to soil and litter mineralization, sediment OC mineralization rates were low in spite of low apparent activation energy (Ea). The fraction of the total OC pool that was lost during five months varied between 0.4 and 14.8%. We estimate that the sediment OC pool not becoming long‐term preserved was degraded with average apparent turnover times between 3 and 32 years. While OC mineralization was strongly dependent on temperature as well as on OC composition and origin, temperature sensitivity was similar across lakes and over time. We suggest that the temperature sensitivity of OC mineralization in lake sediments is similar across systems within the relevant seasonal scales of OC supply and degradation.
Vero response to a cytotoxin of Escherichia coli

A cytotoxin was found in culture filtrates of a number of Escherichia coli strains that differed from the known heat-stable and heat-labile enterotoxins of E. coli. It was cytotoxic for Vero but not for Y-1 or CHO cells, and its effect on Vero was distinctly different from that of heat-labile enterotoxin. It was labile to heat and antigenically different from heat-labile enterotoxin, and membrane filtration indicated a molecular weight of 10,000 to 30,000.
The other side of language: the body and the limits of signification.

Once the world is declared to have become representation, and the real drops out of the system, the cultural sphere should be at peace, orbiting in the serene spaces of virtual reality. But the surprising consequence of the conversion of reality into spectacle is its obverse: a tremulous sensitivity to the real, an acute awareness of the moments when the virtual reality is disturbed, when it comes up against and hits that which it has notionally expelled from its system. Precisely because the system of discursive representation is supposed to have embraced everything there i s. the subject’s brushes with the real have a force they never possessed prior to the totalization of representation into “reality. ” (Bryson, 1996, pp. 220–221) The recent “turn to the text,” like the adherence to the notion of discourse, and the discursive or constructed nature of social reality, has come to represent something of a priority in much critical contemporary work in the social sciences, humanities, and arts. It seems apparent, however, that it is necessary to delimit the field of the discursive, both so that the term does not simply become redundant—simply all-encompassing—and, by the same token, so that its critical and effective use is ensured by
Towards Privacy-Preserving Keyword Search via MapReduce Report on Project Completion

The idea of privacy-preserving keyword search is pretty straightforward. Suppose we have an Owner who possesses some data that he wants to be able to search. However, the amount of data is big, so he decides to outsource them to the Cloud (who supposedly has more storage and computational power). It may happen though, that data to be outsourced is sensitive and simply can not be send in plain. Here Owner faces supposed dilemma: expose sensitive data to cloud or search himself. Therefore, natural question arises: can we find such a way to encrypt our data so that search on them is still possible and no sensitive information leaked during the search? The apparent answer is no, since the intuitive idea of search assumes that we have access to the plain text. However, cryptography may be quite counter-intuitive, the famous example being public-key encryption. It may be a coincidence, but the idea of counterintuitive encrypted keyword search dates to the inventors of RSA algorithm back in 1978. However, they were unable to come up with the solution. Since then, there were attempts done to solve problem and now we know quite a few more or less satisfactory mathematical settings and schemes that address this problem. To clarify, we treat Cloud as semi-trusted, but curious, that is it will correctly perform assigned task, but may be interested to inspect data it operates on. There are few fundamental things that we want to protect Owner from (they are listed in roughly increased difficulty to achieve):
A New Approach for the Analysis of the Transient and Steady State of Piecewise-Linear Circuits by Neural Networks

This paper presents a new approach based on Feed-Forward multilayered Neural Networks (FNNs) for the transient and steady-state analysis of piecewise-linear circuits. Nonlinear circuits are changed by linear circuits containing switches together with some state matrices and control inequalities by using piecewise linearization approach. One of the two problems arising in the analysis of these circuits is that control inequalities belonging to piecewise linearized components and control times for internally or externally controlled components is needed to determine switching times. Another is that the analysis time is very long. The proposed approach is considered as the solution to the problems. FNNs are used for modeling the piecewise linear circuits. By using the obtained model networks, the switching sequence and switching times from one state to another for transient and steady states are determined. The transient and steady-state solutions are fast accomplished through this knowledge. As an example, a nonlinear circuit is used for demonstrating the utility of the proposed approach, and the results are compared with that of the model constructed at Matlab/Simulink. Example circuit is analyzed in the time of 1 h 42 min by using the proposed approach but the time of 2 h 27 min by Matlab/Simulink. Moreover, simulation results demonstrate that the proposed approach yields more accurate approximation for the switched nonlinear circuits.