Miracle-dz/UniFAR-FTUs huggingface dataset:
Urethral Instability and Sacral Nerve Stimulation ( SNS ) : a better parameter to predict the efficacy ?

Purpose: Urodynamic parameters that predict the outcome of sacral nerve stimulation (SNS) are difficult to define. We studied the predictive value of urethral instability (URI) and other urodynamic parameters on the efficacy of SNS. Materials and Methods: Patients with refractory voiding disorders were implanted with a neurostimulator after responding with an improvement of more than 50% in their main symptoms after percutaneous nerve evaluation (PNE). Filling cystometry was performed with 3 urethral sensors and 1 bladder sensor, at baseline and at 6 months post implant. Urethral pressure variations > 15 cm H2O were considered as pathological and defined as urethral instability. Clinical efficacy was evaluated by voiding diary data and defined as successful when an improvement of > 50% was observed. Results: Nineteen female patients enrolled the study. At baseline, detrusor overactivity (DO) was observed in 9 of the patients. Eighteen patients showed URI. SNS therapy was successful in 13 patients (68%). The number of pads used per day and the severity of leakages decreased significantly. Twelve of the 13 successfully treated patients showed URI at baseline. DO was present in 4 of the successful treated patients. URI disappeared in 7 of the 13 successful treated patients; DO disappeared in only 1 of these patients. Conclusion: In this study URI appeared to be a valuable urodynamic parameter for predicting the outcome of SNS. 5 U rehral Inability nd Scral N erve tim ution SN S)
Effect of cryogenic grinding on oil yield , phenolics and antioxidant properties of ajwain ( Trachyspermum ammi L . )

Effect of cryogenic grinding on volatile oil, oleoresin content, total phenolics, flavonoid content and antioxidant properties of seed extract of two ajwain (Trachyspermum ammi L.) genotypes have been analyzed. Both the genotype showed marked increase in essential oil and oleoresin recovery in cryo ground seeds. Effect of cryo grinding was more in genotype AA 2 as compared to AA 93. Among different solvents hexane and Dimethyl sulfoxide (DMSO) proved better for extraction of phenolic and flavonoid contents from ground seeds. The higher concentration of antioxidant content and DPPH scavenging % suggested high antioxidant activity in cryo ground samples. Total -1 Phenolic Content (TPC) was maximum (109.75 mg GAE ml crude seed extract) in methanol crude seed extract of -1 cryo ground samples of genotype AA-2, Whereas in genotype AA 93 maximum TPC (168.00 mg GAE ml crude seed extract) was found in DMSO seed extract. Seed extract of both genotypes showed significant increase over non-cryo -1 ground sample. Maximum TFC (797.17 mg QE ml crude seed extract) was observed in hexane crude seed extract of AA 2. Total antioxidant content was also more in seed extract of cryo ground samples. However, no significant genotypic variation was observed. Both AA 2 and AA 93 genotype showed maximum antioxidant content (151.61 mg -1 -1 BHT E ml crude seed extract) and (145.38 mg BHT E ml crude seed extract) in methanol seed extract followed by hexene and DMSO. Effect of cryogenic grinding on oil yield, phenolics and antioxidant properties of ajwain (Trachyspermum ammi L.) International J. Seed Spices 5(2), July 2015:82-85 *Corresponding author e-mail:shail.nrcss@gmail.com 1 L. K. Sharma , D. Agarwal, S. K. Meena, S. S. Rathore and S. N. Saxena* National Research Centre on Seed Spices, Tabiji, Ajmer-305206 Ph.D. Scholar, Bhagwant University, Ajmer
Rapid Development of Initial Indonesian Phoneme-based Speech Recognition Using The Cross-Language Approach

This paper presents our systematic development of initial Indonesian phoneme-based speech recognition system using the cross-language approach, where English is the source language and Indonesian is the target language. The available Indonesian speech corpus includes only a small vocabulary covering about 70% of the full Indonesian phoneme-set. To attain a proper Indonesian acoustic model with a full phoneme set, we propose to use the acoustic information from the English language in three ways: (1) Substitute the phoneme label alignments of source language training data with the phoneme labels of the target language and train the model as a seed acoustic model of the target language. (2) Use the seed acoustic model to segment the utterances of target language training data by the Viterbi alignment algorithm, train the new acoustic model of the target language, and fill the missing phoneme model from the seed acoustic model. (3) Adapt the parameters of the seed acoustic model using the target language training data. Each method is explored, and the performance of each resulting acoustic model is also evaluated and compared.
The Effectiveness of Assisted Extensive Reading on Developing Reading

The present paper investigated the effectiveness of an "Assisted Extensive Reading Program" on developing reading comprehension strategies, mainly; skimming, scanning, guessing meaning of words in context and inference The target students are ninth graders in Gaza governorate. Three groups were assigned. Experimental group (1)received reading comprehension strategy training only . Group(2) received reading comprehension strategy training integrated with a nine-week period of extensive reading activities. Both the reading comprehension strategy training and the nine weeks of extensive reading activities consist the Assisted Extensive Reading Program. The control group was instructed in the traditional way. The results of the three groups pretest were almost similar. The post test results showed that the" Assisted Extensive Reading Program" proved to be absolutely efficient in developing reading comprehension strategies. On the other hand, strategy training alone was useful but to a limited extent. The traditional method was ineffective, in that, students made no significant progress. ةرحلا ةءارقلا رثا راهم ةيمنت لع ةفثكملا لا باعيتسا تا ءورقم عساتلا فصلا تابلاط ىدل ةزغ ةظفاحمب صخلم : فدهت ىدم نايب ىلإ ةساردلا هذه نم نوكملا جمانربلا ةيلاعف لامعتـسا ىـلع بيردتلا ةدمل ةرحلا ةءارقلاب ةمعدملا ةءارقلا تايجيتارتسا 9 دح نكمملا ومنلا ىدم ىلع عيباسأ يـف هـثو تانبلل ايلعلا ةيساسلأا ةيقر ةديسلا ةسردمب عساتلا فصلا تابلاط ىدل باعيتسلااو ةءارقلا تاراهم ةزغ ةظفاحمب . صنلا ةركف ةفرعمل حفصتلا يه اهنيسحت فدهتسملا تاراهملا نأ ركذلاب ريدجلا نمو باتكلا وأ دوصقملا ، مث لا يناعم نيمخت ،هددحم تامولعم نع ثحبلل صنلا صحفت للاخ نم تاملك سوماقلا ىلإ ةدوعلا نود قايسلا ، ًاريخأو ، للادتسلاا ةراهم مادختسا طابنتساو روطسلا نيب ام ةءارقل
Embedded Inductive Sensor System in Helping Industrial Machine Maintenance Problems

The inductive sensor / proximity sensor was preliminarily initiated to be used as a micro level limit switch where its potential in speed measurement was not taken advantage by the industries. Thus, looking into its potential significant contribution, this paper presents the performance of a non-contact inductive sensor which was used to remotely measure the high speed rotational spindle with high degree of accuracy. The sensor was used to generate pulse correlating the rotational speed of a machine. An experiment was conducted using a self-designed test rig to investigate its performance in counting the machine spindle speed which can help to ease the machine maintenance task for technical supports. The measuring was monitored by a specially designed LCD display, connected to an electronic circuit and a microcontroller. The test result shows that the inductive proximity sensor yields up to 95% in terms of rotational speed accuracy. The setup was made to suit a single monitoring system, while the modular based for multiple systems that integrate different operations are in progress.
1 Probabilistic Synchronous Parallel

Most machine learning and deep neural network algorithms rely on certain iterative algorithms to optimise their utility/cost functions, e.g. Stochastic Gradient Descent (SGD). In distributed learning, the networked nodes have to work collaboratively to update the model parameters, and the way how they proceed is referred to as synchronous parallel design (or barrier control). Synchronous parallel protocol is practically the building block of all distributed learning frameworks, and its design has direct impact on the performance and scalability of the system. In this paper, we propose a new barrier control technique Probabilistic Synchronous Parallel (PSP). Comparing to the previous Bulk Synchronous Parallel (BSP), Stale Synchronous Parallel (SSP), and (Asynchronous Parallel) ASP, the proposed solution effectively improves both the convergence speed and the scalability of the SGD algorithm by introducing a sampling primitive into the system. Moreover, we also show that the sampling primitive can be composed with the existing barrier control mechanisms to derive fully distributed PSP-based synchronous parallel. We not only provide a thorough theoretical analysis1 on the convergence guarantee of PSP-based SGD algorithm, but also implement a full-featured distributed learning framework called Actor System and perform intensive evaluation atop of it.
Mining XML documents with association rule algorithms

ACKNOWLEDGMENTS First and foremost I would like to thank my advisor, Prof. Dr. Halis Püskülcü, for his guidance, patience, and support. I would also like to thank my parents and my sister Gizem Gürel for their support throughout my education. iv ABSTRACT MINING XML DOCUMENTS WITH ASSOCIATION RULE ALGORITHMS Following the increasing use of XML technology for data storage and data exchange between applications, the subject of mining XML documents has become more researchable and important topic. In this study, we considered the problem of Mining Association Rules between items in XML document. The principal purpose of this study is applying association rule algorithms directly to the XML documents with using XQuery which is a functional expression language that can be used to query or process XML data. We used three different algorithms; Apriori, AprioriTid and High Efficient AprioriTid. We give comparisons of mining times of these three apriori-like algorithms on XML documents using different support levels, different datasets and different dataset sizes.
Advances in Genome Engineering Approaches

Targeted genome editing is essential for functional characterization of a gene of interest. Targeted gene inactivation via homologous recombination made it feasible to create gene knockout animal models to ascertain the physiological role of the target genes; however, lower efficiency of site specific insertion of the genetically modified construct through homologous recombination has limited a wider applicability of this approach. Development of targeted gene knockdown through RNA interferce (RNAi) offered a cost effective, high-throughput alternative to homologous recombination, however, RNAi-mediated gene knockdown is incomplete, produces experiment to experiment variation, and could provide only a temporary inhibition of the gene function. Development of genome engineering methodologies utilizing nucleases linked to the guide sequences targeting a gene of interest, such as Zinc Finger Nucleases (ZFN), Transcription Activator like Effector Nucleases (TALEN) and Clustered Palindromic Repeats (CRISPR), are quite encouraging. A brief overview of recent advances in genome engineering approaches is provided with their respective advantages and limitations.
Survival and activity of an atrazine-mineralizing bacterial consortium in rhizosphere soil

Plant rhizosphere effects on atrazine degradation were examined in soil inoculated with an atrazine-mineralizing bacterial consortium. The consortium, consisting of three bacterial species, was isolated from an agricultural soil having previous long-term exposure to the herbicide. Atrazine mineralization and metabolite formation were monitored by measuring 14 CO 2 evolution from microcosms amended with radiolabeled atrazine and by HPLC of soil extracts. In noninoculated soil, ca. 11% of 14 C-chain-labeled atrazine was N-dealkylated, while only 2.4% of the ring-labeled atrazine was mineralized after 5 weeks. Corn plants had no effect on atrazine mineralization or ethyl-side-chain N-dealkylation in noninoculated soils, but the formation of hydroxyatrazine was significantly enhanced in planted soil. Growth of corn in sterilized soil suggested that hydroxyatrazine formation was caused by plant metabolism of atrazine. Introduction of the atrazine-mineralizing consortium into the soil significantly increased the rate of atrazine mineralization in comparison to noninoculated soil. After 4 weeks, 71% of the atrazine was mineralized in nonplanted soil, whereas 84% of the atrazine was mineralized in soil with corn plants. There was no significant difference in the rate of atrazine mineralization by the consortium in nonplanted and planted soil. However, atrazine-mineralizing populations at the end of the incubation were higher in the planted soil, which contained 8.1 x 10 4 degraders g -1 of soil versus 2.7 x 10 3 degraders g -1 in soil without plants. The results demonstrated that bioaugmentation with the atrazine-mineralizing consortium greatly enhanced the rate of atrazine mineralization. Long-term survival of the consortium and degradation of atrazine to hydroxyatrazine were both enhanced in rhizosphere soil, but corn seedlings had no significant effect on the rate of atrazine mineralization, either by the indigenous microflora or in soil inoculated with atrazine-mineralizing bacteria.
Nonparametric selection procedures applied to state traffic fatality rates

This article reviews the practical aspects of several nonparametric subset selection rules useful in block design problems, and discusses advantages and disadvantages of these methods. The populations are assumed stochastically ordered by the parameter of interest. Rules based on ranked observations are given for selecting a subset of populations which contains, with a specified confidence level, the population characterized by the smallest (or largest) parameter value. These procedures are applied to state traffic fatality rates recorded yearly (1960-76). New England states and Middle Atlantic states comprise most of the subset asserted, with a 90% confidence level, to contain the state with the smallest fatality rate; whereas, Southern states, Southwestern states and Rocky Mountain states generally comprise the subset for the state with the largest fatality rate. Note that while this example is not based on simulation data, such data would be analyzed in exactly the same fashion.
Chloroplast DNA variation in Gliricidia sepium (Leguminosae) : intraspecific phylogeny and tokogeny

An analysis of chloroplast DNA restriction site variation in Gliricidia sepium reveals two geographically distinct chloroplast lineages, one in the Yucatan Peninsula and the other along the Pacific Coast in Mexico and Central America. Geographical, morphological, biochemical, and habitat distinctions suggest that these two chloroplast lineages reflect organismal lineages. Within the Pacific coastal chloroplast lineage, there exist sublineages that most likely reflect tokogenetic systems of relationship rather than organismal phylogeny, a hypothesis supported by the co-occurrence of more than one of these chloroplast sublineages in a single population. The genetic distance between any two of these chloroplast lineages ranges from 0.0001 to 0.0024 nucleotide substitutions per site and reveals relatively high levels of intraspecific divergence. We suggest that assessing intraspecific chloroplast DNA variation is important generally in higher level phylogenetic analysis because it enables one to obtain truer estimates of homoplasy, detect potentially cryptic species, and distinguish among molecular markers that reflect phylogenetic vs. tokogenetic relationships. This is in addition to determining the extent of potential complicating factors such as introgression and lineage sorting from polymorphic ancestry.
20 Years of Fatty Acid Analysis by Capillary Electrophoresis

A review taking into account the literature reports covering 20 years of fatty acid analysis by capillary electrophoresis is presented. This paper describes the evolution of fatty acid analysis using different CE modes such as capillary zone electrophoresis, non-aqueous capillary electrophoresis, micellar electrokinetic capillary chromatography and microemulsion electrokinetic chromatography employing different detection systems, such as ultraviolet-visible, capacitively coupled contactless conductivity, laser-induced fluorescence and mass spectrometry. In summary, the present review signals that CE seems to be an interesting analytical separation technique that is very useful for screening analysis or quantification of the usual fatty acids present in different matrices, offering short analysis times and a simple sample preparation step as inherent advantages in comparison with the classical methodology, making it a separation technique that is very attractive for quality control in industry and government agencies.
A taxonomic reassessment of Phyllachora proteae, a leaf pathogen of Proteaceae

Phyllachora proteae is a well known leaf pathogen of Protea spp. In the present study this fun- gus was recollected from several genera and species of Proteaceae in the Western Cape province of South Africa, and its taxonomy was reassessed. Single asco- spore cultures produced a Fusicoccum anamorph in culture, described here as F proteae. A microconidial synanamorph with narrowly ellipsoidal, brown, thick- walled conidia was commonly associated with F pro- teae in culture. Based on its bitunicate asci, as well as pseudothecial and ascospore morphology, a new combination for P proteae is proposed in Botryos- phaeria, as B. proteae.
Data Mining with Microsoft SQL Server 2005

The paper describes the practical approach of a mar keting project by using Microsoft SQL Server 2005 Data Mining. It is based on a research project for a mar keting/recruitment campaign which was carried out at the Sukhothai Thammathirat Open University (STOU) in Thailand. The conventional, well-known CRISP-DM method served as an initial instrument for the whol e proceeding. The paper starts with the description of the project target, followed by the case study which wi ll be called Business Understanding for a better, context-related comprehension of all further steps. Subsequently we will answer some fundamental questions concerning Data Mining, and a general survey on existing technologies and possibilities is given. T he methodology of CRISP-DM is profoundly describes, and the different parts of the project are represented. The technology is explained in detail, as well as the SQL Server 2005 architecture, the data mining features and the data mining algorithms used. Finally, we will also report about the end users feedback.
DELAY REDUCTION MEASURES AND THEIR EFFECTS IN DENSE TRANSPORTATION OPERATION USING TRAIN TRAFFIC RECORD DATA

In recent years, reducing delays during the rush hours in metropolitan area has become one of the most important issues to the railway companies. In particular, it is observed that once a small delay happens, it widely spreads out to many other trains. Tokyo Metro has established an approach to reduce train delays by utilizing train traffic record data and visualization of train delays and indications (Static Index, Active Index) and identification of cause of delays. For the Tozai Line that experiences delays and congestions most frequently, Tokyo Metro has been analyzing causes of delays making the most of train traffic record data. In doing so, rescheduling, station staff operation, etc. as well as hardware such as signal facility, station facility and car facility has been improved therefore delay has been greatly shortened. In this paper, verified are delay reduction measures and their effects. Moreover, further examined is such delay reduction measures especially for dense lines operating in metropolitan area.
Cooperative Multi-Channel MAC Protocols for Wireless Ad Hoc Networks

Today, many wireless networks are single-channel systems. However, as the interest in wireless services increases, the contention by nodes to occupy the medium is more intense and interference worsens. One direction with the potential to increase system throughput is multi-channel systems. Multi-channel systems have been shown to reduce collisions and increase concurrency thus producing better bandwidth usage. However, the well-known hidden- and exposed-terminal problems inherited from single-channel systems remain, and a new channel selection problem is introduced. In this dissertation, Multi-channel medium access control (MAC) protocols are proposed for mobile ad hoc networks (MANETs) for nodes equipped with a single half-duplex transceiver, using more sophisticated physical layer technologies. These include code division multiple access (CDMA), orthogonal frequency division multiple access (OFDMA), and diversity. CDMA increases channel reuse, while OFDMA enables communication by multiple users in parallel. There is a challenge to using each technology in MANETs, where there is no fixed infrastructure or centralized control. CDMA suffers from the near-far problem, while OFDMA requires channel synchronization to decode the signal. As a result CDMA and OFDMA are not yet widely used. Cooperative (diversity) mechanisms provide vital information to facilitate communication set-up between source-destination node pairs and help overcome limitations of physical layer technologies in MANETs. In this dissertation, the Cooperative CDMA-based Multi-channel MAC (CCM-MAC) protocol uses CDMA to enable concurrent transmissions on each channel. The Power-controlled CDMA-based Multi-channel MAC (PCC-MAC) protocol uses transmission power control at each node and mitigates collisions of control packets on the control channel by using different sizes of the spreading factor to have different processing gains for the control signals. The Cooperative Dual-access Multi-channel MAC (CDM-MAC) protocol combines the use of OFDMA and CDMA and minimizes channel interference by a resolvable balanced incomplete block design (BIBD). In each protocol, cooperating nodes help reduce the incidence of the multi-channel hidden- and exposed-terminal and help address the near-far problem of CDMA by supplying information. Simulation results show that each of the proposed protocols achieve significantly better system performance when compared to IEEE 802.11, other multi-channel protocols, and another protocol CDMA-based.
An Overview of Input-Output Analysis Applied to Production-Inventory Systems

Input-Output Analysis, together with the Laplace transform, have been applied to multi-level, multi-period production-inventory systems in a number of papers. This article gives a historical overview of the areas involved in these studies. It is shown that the input and output matrices as well as the Leontief inverse can be generalised to include timing properties for the inputs by means of the Laplace transform. The consequent advantages are exemplified in different production models, treating, for instance, capacity requirements and safety stock problems. The main literature in this field concerns assembly systems, but the approach is easily applicable to process industries with a divergent material flow or when feedback is essential.