Precipitable water vapour monitoring using ground based GPS system

The sensing of near real time Precipitable Water Vapour (PWV) using Global Positioning System (GPS) over Indian region were analyzed. GPS data collected from five stations at hourly interval were utilized to determine near real time PWV using GAMIT software. Sliding window technique was used to derive near real time PWV. The PWV determined from GPS observations of each site were compared with respective radiosonde measurements. The results shows that the derived GPS precipitable water well agree for some stations with the independent radiosonde measurements. We have also examined the variation of hourly GPS-PWV with hourly rainfall observation and found that PWV increases significantly before the event take place and decreases after the event.

Genome-Wide Scanning of Potential Hotspots for Adenosine Methylation: A Potential Path to Neuronal Development

Methylation of adenosines at N6 position (m6A) is the most frequent internal modification in mRNAs of the human genome and attributable to diverse roles in physiological development, and pathophysiological processes. However, studies on the role of m6A in neuronal development are sparse and not well-documented. The m6A detection remains challenging due to its inconsistent pattern and less sensitivity by the current detection techniques. Therefore, we applied a sliding window technique to identify the consensus site (5′-GGACT-3′) n ≥ 2 and annotated all m6A hotspots in the human genome. Over 6.78 × 107 hotspots were identified and 96.4% were found to be located in the non-coding regions, suggesting that methylation occurs before splicing. Several genes, RPS6K, NRP1, NRXN, EGFR, YTHDF2, have been involved in various stages of neuron development and their functioning. However, the contribution of m6A in these genes needs further validation in the experimental model. Thus, the present study elaborates the location of m6A in the human genome and its function in neuron physiology.

Femoral Stem Fracture and Successful Reimplantation Using Femoral Window Technique in Canine Cemented Total Hip Replacement: Case Report

A fractured stem is a very rare, late complication in total hip replacement procedure in dogs. Here, we present one case after cemented total hip replacement with successful reimplantation, including clinical signs and radiographic findings.

Biological notes of bone grafting in oral surgery

Introduction: the article presents the results of the outcomes analysis of bone grafting for dental implants, review some technical and biological factors that caused the success in this oral surgery. Also describes the different types of the maxillary sinus floor, «micro-window» technique for sinus-lifting and local bone modifying. This current aims to evaluate clinical outcomes after various bone grafting techniques for dental implan-tation, as well as to analyze the biological success factors of these surgery.Materials and methods: 134 bone grafting surgeries were performed - 23 men and 73 women. The patients were divided into 4 groups according to the methods: Guided Bone Regeneration (GBR); Bone Block (BB) transplantation; micro-window Sinus-lifting (mwSL); Local Bone Modifying (LBM).Results: The operations of the GBR and BB together showed an unsuccessful result in 72.36% of cases, while the bad outcomes of the mwSL and LBM operations were 7.7%. The better results were in groups with mwSL (success in 97.5%) and LBM surgery (87.1%).Conclusion: This demonstrates the clinical importance and effectiveness of various bone grafting methods. GBR and BB are less predictable in success, in contrast to mwSL and LBM, which we recommend. However, the factors affect the success of this surgery require further study.

Investigation of DPA in the reactor pressure vessel of VVER-1000/V320

The most important ageing effect on the reactor pressure vessel (RPV) is radiationembrittlement, which is mainly caused by fast neutrons during operation lifetime of nuclear reactors. The aim of this study was to investigate the DPA (displacement per atom) rate, an important parameter describing radiation damage to the RPV, and identify the position of the maximum DPA rate in the RPV of the VVER-1000/V320 reactor using the Monte Carlo code MCNP5. To reduce statistical errors in the MCNP5 simulation, the weight window technique was applied to non-repeated structures outside the reactor core. The results showed the distribution of the DPA rate in the RPV and the maximum DPA rate was found to be at the first millimeters of the RPV. Consequently, these calculations could be useful for assessment of radiation damage to the RPV of VVER reactors.

Interval patterns are dependent on metrical position in jazz solos

During jazz improvisation, performers employ short recurrent musical motifs called licks. Past research has focused on the pitch, intervallic, and rhythmic characteristics of licks, but less attention has been paid to whether they tend to start in the same place within the measure ( metrical dependence). Licks might be metrically dependent, and where a given lick starts in a measure ( metrical position) may thus be part of the performer’s mental representation of that lick. Here we report the use of a corpus study to investigate whether licks are metrically dependent. We analyzed a subset of solos, all those in 4/4 time ( n = 435), from the Weimar Jazz Database (WJD; Pfleiderer et al., 2017). Using a sliding window technique, we identified melodic sequences ( interval n-grams) between 3 and 10 intervals in length. We counted the number of times each interval n-gram occurred, and noted the metrical position of the initial note of each occurrence, using different levels of quantization (8th and 16th note). We compared the entropy of the distribution of metrical positions for each n-gram—with lower values indicating a stronger metrical dependence—against simulated counterparts that assumed no relationship between an n-gram and its metrical position (no metrical dependence). Overall, we found that shorter n-grams were metrically dependent, with varying results for longer n-grams. We suggest two possible explanations: either mental representations of licks may encode their metrical features or the metrical position may make certain licks more accessible to the performer. On the basis of our findings we discuss future studies that could employ our methods.

Anomaly Detection Using a Sliding Window Technique and Data Imputation with Machine Learning for Hydrological Time Series

Water level data obtained from telemetry stations typically contains large number of outliers. Anomaly detection and a data imputation are necessary steps in a data monitoring system. Anomaly data can be detected if its values lie outside of a normal pattern distribution. We developed a median-based statistical outlier detection approach using a sliding window technique. In order to fill anomalies, various interpolation techniques were considered. Our proposed framework exhibited promising results after evaluating with F1-score and root mean square error (RMSE) based on our artificially induced data points. The present system can also be easily applied to various patterns of hydrological time series with diverse choices of internal methods and fine-tuned parameters. Specifically, the Spline interpolation method yielded a superior performance on non-cyclical data while the long short-term memory (LSTM) outperformed other interpolation methods on a distinct tidal data pattern.

New Continuum of High Volatile Currency Spillover During EU-BREXIT

In this study, the researchers observed the impact of Brexit on the Pound and its spillover to other European countries, likely to be affected during that period. The intraday high-frequency hourly return data of chief monies as Great Britain Pound (GBP), Euro (EUR), Danish Krone (DDK), Hungarian Forint (HUF), Turkish Lira (TRY), Swiss Franc (CHF), Swedish Krona (SEK), and Polish Zloty (PLN), for two months and one day, was utilized. The Intraday volatility spillover index approach and a further rolling window technique applied. The analysis of high-frequency data revealed that four currency pairs as TRY/USD, DKK/USD, PLN/USD, and HUF/USD, are highly volatile currencies. However, three pair currencies as GBP/USD, EUR/USD, and SEK/USD, are comparatively lesser volatile. The results and managerial implications reflect preparedness dynamics and proactiveness for a new continuum project that regional transmission effects of volatility spread from one currency to other currencies in the EU during Brexit.