Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex differences in the hemispheric lateralization of sleep spindles in humans

Females and males differ in several features of their spindle oscillations, as well as in the hemispheric lateralization of their neurocognitive processes. In addition, the hemispheric lateralization of cognitive functions was shown to vary in an age-dependent manner. In spite of the above knowledge, data on the hemispheric lateralization of these oscillatory phenomena are scarce and no sex differences or age effects in the hemispheric lateralization of sleep spindles were reported. Here, we aim to fill this gap by the description of the hemispheric lateralization of sleep spindles in healthy human subjects. Data sets from three research groups were unified (N = 251, age range: 4−69 years, 122 females) in this retrospective multicenter study. The amplitude, density, and duration of slow (frontally dominant) and fast (centroparietally dominant) spindles were analyzed using the individual adjustment method. Hemispheric lateralization was quantified by the (L − R)/mean (L, R) index. Orbitofronto-temporo-occi.
STELLAR EVOLUTION CONSTRAINTS ON THE TRIPLE-α REACTION RATE

We investigate the quantitative constraint on the triple-α reaction rate based on stellar evolution theory, motivated by the recent significant revision of the rate proposed by nuclear physics calculations. Targeted stellar models were computed in order to investigate the impact of that rate in the mass range of 0.8 ⩽ M/M☉ ⩽ 25 and in the metallicity range between Z = 0 and Z = 0.02. The revised rate has a significant impact on the evolution of low- and intermediate-mass stars, while its influence on the evolution of massive stars (M ≳ 10 M☉) is minimal. We find that employing the revised rate suppresses helium shell flashes on asymptotic giant branch phase for stars in the initial mass range 0.8 ⩽ M/M☉ ⩽ 6, which is contradictory to what is observed. The absence of helium shell flashes is due to the weak temperature dependence of the revised triple-α reaction cross section at the temperature involved. In our models, it is suggested that the temperature dependence of the cross section should have at least ν > 10 at T = (1–1.2) × 108 K where the cross section is proportional to Tν. We also derive the helium ignition curve to estimate the maximum cross section to retain the low-mass first red giants. The semi-analytically derived ignition curves suggest that the reaction rate should be less than ∼10−29 cm6 s−1 mole−2 at ≈107.8 K, which corresponds to about three orders of magnitude larger than that of the NACRE compilation. In an effort to compromise with the revised rates, we calculate and analyze models with enhanced CNO cycle reaction rates to increase the maximum luminosity of the first giant branch. However, it is impossible to reach the typical red giant branch tip luminosity even if all the reaction rates related to CNO cycles are enhanced by more than 10 orders of magnitude.
Morpho-agronomic characterization of cucumber (Cucumis sativus L.) germplasm through principal component analysis

The present experiment was carried out to determine the variability source structure for 24 morphoagronomic traits of cucumber in the Experimental Farm of the Department of Vegetable Science, Dr YS Parmar University of Horticulture and Forestry, Solan during Kharif, 2015. The results revealed that first four component axes had eigen values ≥1.0, representing a cumulative variability of 81.53%. PC1 explained the traits like days to first harvest, number of marketable fruits per plant, harvest duration, vine length, number of primary branches per plant, germination percentage, seed vigour index I and II, severity of anthracnose, downy mildew and powdery mildew. The traits viz., average fruit weight, fruit length, fruit diameter, flesh thickness and seed cavity length were explained by PC2 and the remaining traits were explained by PC3 and PC4. Loading of different variables based on the first two principal components indicated that average fruit weight, fruit length and diameter, seed length, seed cavity length and breadth, harvest duration, hundred seed weight, seed vigour index I and II contributed greater proportion of the total variability. Therefore, while conducting selection or choosing parents for hybridization, breeders have to give special emphasis on these traits.
Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network

Image are objects that have many information. Gray Level Co-occurrence Matrix is one of many ways to extract information from image objects. Wherein, the extracted informations can be processed again using different methods, Gray Level Co-occurrence Matrix is use for clarifying brain tumor using Convolutional Neural Network. The scope in this research is to process the extracted information from Gray Level Co-occurrence Matrix to Convolutional Neural Network where it will processed as Deep Learning to measure the accuracy using four data combination from TI1, in the form of brain tumor data Meningioma, Glioma and Pituitary Tumor. Based on the implementation of this research, the classification result of Convolutional Neural Network shows that the contrast feature from Gray Level Co-occurrence Matrix can increase the accuracy level up to twenty percent than the other features. This extraction feature is also accelerate the classification process using Convolutional Neural Network.
Carbon Nanotubes in Passive RF Applications

Carbon nanotubes are characterized by unique electrical properties which make them good candidates for different applications in electronics and electrical engineering. In this chapter we focus mainly on electrical properties of single wall conducting carbon nanotubes in high frequency, electromagnetic waves interaction with carbon nanotubes and the possible passive RF applications. The term “high frequency” here refers to the frequency band from gigahertz to terahertz. This chapter starts from microscopic view by discussing electrodynamics of carbon nanotubes to show the mechanism of time varying electromagnetic field interaction with carbon nanotubes (Slepyan et al., 1999; Slepyan et al., 2008; Mikki & Kishk 2008). Based on these electrodynamics properties, an equivalent dynamic surface conductivity is developed to represent a macroscopic view for the interaction of high frequency electromagnetic fields with carbon nanotubes (Hanson, 2005). This equivalent surface conductivity of carbon nanotube is characterized by complex value with negative imaginary part. This negative imaginary part represents an inductive effect in carbon nanotubes. This inductive effect is due to chiral property of the electric current flow along the carbon nanotube (Slepyan et al., 1998; Miyamoto et al. 1999). This inductivity has a significant effect on reducing the wave velocity of electromagnetic wave propagation along carbon nanotube. This wave velocity reduction corresponds to decreasing the wavelength. This property is quite important in passive RF applications like passive circuits and antennas, since the dimensions of these applications depend mainly on the wave length (Slepyan et al., 1999; Slepyan et al., 2008; Attiya, 2009). Based on the macroscopic surface conductivity of carbon nanotube, the problems of electromagnetic fields interaction with carbon nanotubes can be presented in similar ways to conventional problems related to cylindrical structures with finite surface conductivity. In this way the problem of carbon nanotube antennas can be presented as an electric field integral equation problem which can be treated numerically by method of moments (Hanson, 2005; Hao & Hnason, 2006). Similarly, the problem of surface wave propagation along carbon nanotubes can be presented as a boundary value problem where the difference between the tangential magnetic fields on the two sides of the wall of the carbon nanotube would equal the induced current on the wall of the carbon nanotube. This induced current depends on the tangential electric field along the carbon nanotube and the surface conductivity. This boundary value problem is solved to obtain the field distribution and the complex propagation constants of the surface wave modes propagating along carbon
A testing methodology for performance-based specification

Abstract Satisfactory guidelines for ensuring adequate reinforced concrete durability can only be developed by monitoring concrete performance under a range of field exposure conditions over an extended period of time. Only then can there be a move from prescriptive durability specifications (minimum grade, maximum water-binder ratio, and minimum cement content) to performance-based methods. The situation is also made more complex by the range of cements now available – BS EN 197 defines a total of 27 products in the family of common cements. Implementation of both design for durability and performance-based standards and specifications are limited by the lack of rapid, simple, science-based test methods for characterizing the transport properties and deterioration resistance of concrete. This paper presents an overview of performance-based specification and developments in the application of electrical property measurements as a candidate testing methodology in evaluating the relative performance of concrete mixes. The technique lends itself to in situ monitoring, thereby allowing measurements to be obtained on the as-placed concrete.
Escaping the obvious: Skewing properties of interaction

Most design methods used within interaction design originate from other disciplines. As a result, there are few methods which can focus on designing or redesigning interaction in itself. In this paper we present a structured ideation method called Skewing, which is based on changing already identified, interaction-related properties of an artifact. Hereby, designers can generate interesting re-designs whose interaction design differs from the original product. Moreover, the structured approach in Skewing helps in finding the unusual design solutions in the outer rims of the design space. Lastly, Skewing can also be used as a means to teach the materiality of interaction.
The rare allele of DGKZ SNP rs10838599 is associated with variability in HDL-cholesterol levels among severely obese patients

Introduction: Diacylglycerol kinase-zeta, one of the ten isoforms of DGKs expressed in mammals is an important enzyme of lipid metabolism. It catalyzes the interconversion of diacylglycerol and phosphatidic acid, two major second messengers. Its gene DGKZ has been previously identified as being overexpressed and undermethylated in visceral adipose tissue of patients with (MetS+) versus without (MetS-) the metabolic syndrome (MetS). Objective: The aim of this study was to investigate the associations between DGKZ gene polymorphisms (SNPs) and phenotypes related to MetS (BMI, waist girth, CRP, fasting glucose, lipid profile (triglycerides, total-cholesterol, LDL-cholesterol and HDL-cholesterol (HDL-C)), resting systolic and diastolic blood pressures). Methods: The study sample included 1752 severely obese participants who underwent bariatric surgery. Associations between the five selected tSNPs of DGKZ and features of the MetS were tested. The effects of these SNPs on DGKZ methylation and expression levels were tested in subgroups of 32 and 14 obese subjects, respectively. Correlations between methylation and expression levels were also computed. Results: Homozygotes for the rare allele of rs10838599 displayed higher plasma HDL-C concentrations compared to the other genotype groups (p=0.03). For gene methylation, only a trend with the cg05412031 CpG site (p=0.09) was found for the single significantly phenotype-associated SNP. There was no significant correlation between DGKZ methylation at cg05412031 and expression levels. Conclusion: These results suggest that DGKZ SNP rs10838599 modulates plasma HDL-C levels thereby its gene contributes to the inter-individual variability observed in the cardiometabolic risk profile of patients with severe obesity.
SPACE-BASED VISIBLE (SBV) SURVEILLANCE DATA VERIFICATION AND TELEMETRY PROCESSING

This paper discusses the telemetry processing and data verification performed by the SBV Processing, Operations and Control Center (SPOCC) located at MIT Lincoln Laboratory (MIT LL). The SPOCC is unique among the Midcourse Space Experiment (MSX) Data Processing Centers because it supports operational demonstrations of the SBV sensor for Space-Based Space Surveillance applications. The surveillance experiment objectives focus on tracking of resident space objects (RSOs), including acquisition of newly launched satellites. Since Space Surveillance operations have fundamentally short timelines, the SPOCC must be deeply involved in the mission planning for the series of observations and must receive and process the resulting data quickly. In order to achieve these objectives, the MSX Concept of Operations (CONOPS) has been developed to include the SPOCC in the operations planning process. The SPOCC is responsible for generating all MSX spacecraft command information required to execute space surveillance events using the MSX. This operating agreement and a highly automated planning system at the SPOCC allow the planning timeline objectives to be met. In addition, the Space Surveillance experiment scenarios call for active use of the 1 Mbps real-time link to transmit processed targets tracks from the SBV to the SPOCC for processing and for short time-line response of the SPOCC to process the track of the new object and produce new commands for the MSX spacecraft, or other space surveillance sensors, to re-acquire the object. To accomplish this, surveillance data processed and stored onboard the SBV is transmitted to the APL Mission Processing Center via 1 Mbps contacts with the dedicated Applied Physics Laboratory (APL) station, or via one of the AFSCN RTS locations, which forwards the telemetry in real-time to APL. The Mission Processing facility at APL automatically processes the MSX telemetry to extract the SBV allocation and forwards the data via file transfer over a dedicated fractional T1 link to the SPOCC. The data arriving at the SPOCC is automatically identified and processed to yield calibrated metric observations of RSOs. These results are then fed forward into the mission planning process for follow-up observations. In addition to the experiment support discussed above, the SPOCC monitors and stores SBV housekeeping data, monitors payload health and status, and supports diagnosis and correction. There are also software tools which support the assessment of the results of surveillance experiments and to produce a number of products used by the SBV instrument team to assess the overall performance characteristics of the SBV instrument.
Short‐term upwelling events at the western African coast related to synoptic atmospheric structures as derived from satellite observations

Satellite scatterometers provide continuously valuable surface wind speed and direction estimates over the global ocean on a regular grid both in space and time. The Level 3 data derived from the Advanced Scatterometer (ASCAT), available at 1/4° spatial resolution (hereafter AS25), and Quick Scatterometer (QuikSCAT), available on 1/2° and 1/4° horizontal grids (QS50 and QS25, respectively), are studied at regional scales in both the Benguela and Canary upwelling systems. They are compared to the European Center for Medium-Range Weather Forecast surface wind analysis, with insight into their intrinsic and actual spatial resolutions. In the coastal band, the finest spatial patterns are found in the QS25 winds and are O(75 km). This demonstrates the sensitivity of the high-resolution satellite-derived winds to coastal processes related to sea surface temperature (SST) perturbations and land-sea transition. Next, short-lived upwelling episodes (SUEs) calculated from SST anomalies are defined consistently with the QS25 actual resolution. These cold events refer to local, short-lived perturbations that add to seasonal upwelling variability. We characterize concomitant atmospheric synoptic conditions for SUEs identified at chosen latitudes and highlight two subregions in both upwelling systems, with contrasted patterns for the alongshore wind stress component and curl. The complexity of the latter patterns is closely linked to local, short-term SST variability. Closer to the shore, numerical sensitivity experiments show that the imbalance between Ekman transport and Ekman pumping has an impact on ocean dynamics: wind reduction in the coastal QS25 forcing, partially induced by orography, tends to reduce coastal SST cooling.
W-Learning for Behavior Coordination on a Real Khepera

We utilize HUMPHRYS' W-Learning on a real robot Khepera to coordinate two behaviors in a maze: first, to avoid obstacles and second, to find a location marked by a certain color (e.g., where food can be found). We describe the experimental setup and compare results of the individual agents with one monolithic agent solving both tasks and the agents coordinated by W-Learning. We demonstrate the feasibility of W-Learning on a real robot.
Solar off-limb line widths with SUMER: revised value of the non-thermal velocity and new results

Abstract. Alfven waves and ion-cyclotron absorption of high-frequency waves are frequently brought into models devoted to coronal heating and fast solar-wind acceleration. Signatures of ion-cyclotron resonance have already been observed in situ in the solar wind and in the upper corona. In the lower corona, one can use the line profiles to infer the ion temperatures. But the value of the so-called "non-thermal" (or "unresolved") velocity, potentially related to the amplitude of Alfven waves propagating in the corona, is critical in firmly identifying ion-cyclotron preferential heating. In a previous paper, we proposed a method to constrain both the Alfven wave amplitude and the preferential heating, above a polar coronal hole observed with the SUMER/SOHO spectrometer. Taking into account the effect of instrumental stray light before analysing the line profiles, we ruled out any direct evidence of damping of the Alfven waves and showed that ions with the lowest charge-to-mass ratios were preferentially heated. We re-analyse these data here to correct the derived non-thermal velocity, and we discuss the consequences on the main results. We also include a measure of the Fe VIII 1442.56 A line width (second order), thus extending the charge-to-mass ratio domain towards ions more likely to experience cyclotron resonance.
EXPOSURE TO AIRBORNE MICROORGANISMS IN FURNITURE FACTORIES ( ZD

Microbiological air sampling was performed in 2 furniture factories located in eastern Poland. In one factory furniture were made from fibreboards and chipboards while in the other from beech wood. It was found that the concentration of total microorganisms (bacteria + fungi) in the air of the facility using beech wood for furniture production (mean 10.7 × 10 3 cfu/m, range 3.3–27.5 × 10 3 cfu/m) was significantly higher (p < 0.01) compared to microbial concentration in the facility using fibreand chipboards (mean 3.6 × 10 3 cfu/m, range 1.9–6.2 × 10 3 cfu/m). On average, the commonest microorganisms in the air of the furniture factories were corynebacteria (Corynebacterium spp., Arthrobacter spp., Brevibacterium spp.) which formed 18.150. 0% of the total airborne microflora, and fungi (mostly Aspergillus spp., Penicillium spp., Absidia spp. and yeasts) which formed 6.2–54.4% of the total count. The values of the respirable fraction of airborne microflora in the furniture factories varied within fairly wide limits and were between 15.0–62.4%. Altogether, 28 species or genera of bacteria and 12 species or genera of fungi were identified in the air of examined factories, of which respectively 8 and 7 species or genera were reported as having allergenic and/or immunotoxic properties. In conclusion, the workers of furniture factories are exposed to relatively low concentrations of airborne microorganisms which do not exceed the suggested occupational exposure limits. Nevertheless, the presence of allergenic and/or immunotoxic microbial species in the air of factories poses a potential risk of respiratory disease, in particular in sensitive workers. Address for correspondence: (ZD . U\VL VND-Traczyk, PhD, Department of Occupational Biohazards, Institute of Agricultural Medicine, Jaczewskiego 2, 20-090 Lublin, Poland. E-mail: ekt@galen.imw. lublin.pl
Photogrammetric determination of discrepancies between actual and planned position of dental implants

The paper describes the design and testing of a photogrammetric measurement protocol set up to determine the discrepancies between the planned and actual position of computer-guided template-based dental implants. Two moulds with the implants positioned in pre- and post- intervention are produced and separately imaged with a highly redundant block of convergent images; the model with the implants is positioned on a steel frame with control points and with suitable targets attached. The theoretical accuracy of the system is better than 20 micrometers and 0.3–0.4° respectively for positions of implants and directions of implant axes. In order to compare positions and angles between the planned and actual position of an implant, coordinates and axes directions are brought to a common reference system with a Helmert transformation. A procedure for comparison of positions and directions to identify out-of-tolerance discrepancies is presented; a numerical simulation study shows the effectiveness of the procedure in identifying the implants with significant discrepancies between pre- and post- intervention.
Increasing the Anti-Addictive Piperidine Alkaloid Production of In VitroMicropropagated Indian Tobacco by Nitrate Treatments

Background: Lobelia inflata L. (Indian tobacco) is a traditional medicinal plant native to North America. It contains several piperidine alkaloids. Interest in Lobelia alkaloids, and in particular (-)-lobeline, the most active component, has increased in recent years due to their effect on the central nervous system. Thus, lobeline is currently the subject of renewed interest for its anti-addictive activity in the treatment of drug abuse, and neurological disorders. Our studies were aimed at introducing this species into cultivation in Hungary. Results: For direct characterization of di-substituted and mono-substituted piperidine alkaloids in extracts of L. inflata, a tandem mass spectrometric method was developed using electrospray ionization. The compounds (-) lobeline, norlobeline, lobelanidine, norlobelanine and other related structures were identified by HPLC-MS/MS. With the aim of increasing the alkaloid production, we have investigated the effect of changing the ammonium and potassium nitrate levels of the basic Murashige-Skoog medium. The highest dry mass, total alkaloid and lobeline content were measured in the herbs and roots cultured at 570 mg L-1 KNO3 content. Conclusions: The highest values for lobeline derivatives norlobeline and lobelidine were also recorded in the herba and roots of Lobelia inflata cultured on reduced KNO3 containing MS medium. The most sensitive response to media modification was observed in the case of lobelidine. Double-concentration of NH4NO3 had an inhibitory effect on plant growth, total alkaloid and lobeline content.