Miracle-dz/UniFAR-FTUs huggingface dataset:
Silent sufferers: Health care practitioners as second victims of patient safety incidents

Patient safety is defined as the avoidance, prevention and amelioration of adverse outcomes or injuries or harm to patients [1]. A patient safety incident (PSI) is caused by the management rather than the disease process and is sufficiently serious to lead to prolongation of hospitalisation or to temporary or permanent impairment or disability to the patient at the time of discharge or both and even death [1,2]. It is important to recognise that most practitioners care about their patients and their professional reputations hence the inference that majority of these incidents are unintended and do not reflect the carelessness of health care practitioners (HCP). Importantly, these incidents tend to be multisectorial [3,4]. Of interest, pregnant women attended by obstetrician expect a perfect delivery and a live baby. Regrettably, medicine is an imperfect science [5] and humans are fallible.
ARABIC DISORDERED SPEECH PHONETIC DICTIONARY GENERATOR FOR AUTOMATIC SPEECH RECOGNITION

The phonetic dictionary, which is also known as pronunciation dictionary and lexicon, contains a mapping between the words of the intended language and their corresponding phoneme sequences. It is an essential component for developing an Automatic Speech Recognition (ASR) system. The phonetic dictionary acts as an intermediary component with other ASR components such as the acoustic model and the language model. This research aims to design and develop a phonetic dictionary generator (PDG) for Modern Standard Arabic (MSA) and Arabic disordered speech that can be used for ASR research and development. This rule-based PDG receives Arabic texts and transforms them into their corresponding phoneme sequences using pre-defined rules. Since ASR systems must accommodate different needs of speakers and users including the speech of normal speakers and speakers with speech and articulation disorders, this PDG will be able to produce phoneme sequences for both normal speech and disordered speech using pre-defined rules too. The input speech from speakers with speech and articulation disorders such as substitution and distortion articulation speech disorders can be different from the speech of normal speakers. In this release of the PDG, the substitution and distortion articulation speech disorders are considered for their importance and frequent recurrence. The PDG is evaluated using an Arabic text that contains 1,623 unique words. The output phonetic dictionary for normal speakers contains 2,473 phoneme sequences, whereas the output phonetic dictionary for speakers with disordered speech contains 62,997 phoneme sequences. This indicates that the output phonetic dictionary for speakers with disordered speech is more comprehensive and contains more possibilities and variations of the same unique word, which would ease the recognition task in ASR systems in a manner that suits different speakers with different pronunciation variations.
INDOLE-3-ACETIC ACID PRODUCTION BY GEL-ENTRAPPED BACILLUS THURINGIENSIS IN THE PRESENCE OF ROCK PHOSPHATE ORE

Bacillus thuringiensis in entrapped in k-carrageenan was capable of producing indole-3-acetic acid (IAA) in the presence of rock phosphate ore (RPO). After five repeated batch fermentation experiments, an average of 6.9 mg/L IAA was recorded in the presence of 1.5 g/L RPO and 4.7 mg/L IAA in the RPO-free control. The bacterium simultaneously solubilized phosphates with a maximum soluble P of 115 mg/L and 150 mg/L after the fourth batch cycle in 1.5 and 3.0 g/L RPO amendment, respectively. Addition of tryptophan to the media increased IAA production to 13.9 and 20.7 mg/L per batch on RPO-free and 1.5 g/L RPO-supplemented media with poor bacterial growth and RPO solubilization.
Phenolic Bioactive Modulation by Lactobacillus acidophilus Mediated Fermentation of Cherry Extracts for Anti-Diabetic Functionality, Helicobacter pylori inhibition and Probiotic Bifidobacterium longum Stimulation

Cherry juice from one cultivar was fermented for 0, 24, 48, and 72 h using Lactobacillus acidophilus, and its effects related to management of hyperglycemia, hypertension, inhibition of Helicobacter pylori, and proliferation of probiotic Bifidobacterium longum were evaluated using in vitro models. Cherry extract was fermented by initially adjusting the pH to 6.0 and at the natural acidic pH. Analysis was carried out by adjusting the pH and at fermented acidic pH at each time point from each of the two samples. Total soluble phenolics decreased over a period of 72 h for initial pH adjusted samples whereas it increased or remained constant for natural acidic pH samples. DPPH linked antioxidant activity and α-glucosidase inhibitory activity decreased for samples where final pH was adjusted whereas it increased for natural acidic pH samples. Fermentation led to a decrease in hypertension-relevant ACE inhibitory activity for all samples. Natural acidic pH samples had Helicobacter pylori inhibitory activity at 24, 48 and 72 h. Based on the rationale that simple phenolics in cherry could behave as proline analogs, the potential recovery of the pathogen from inhibition was evaluated with of addition of 0.5 mM proline in the medium. A proline induced growth recovery was observed indicating that the mechanism of inhibition is related to proline dehydrogenase based oxidative phosphorylation. Overall, no inhibition was observed when samples that had H. pylori inhibitory activity were further evaluated for their effect on probiotic Bifidobacterium longum.
Psychometric Properties of Processing Speed Ability Test: a Pilot Project

This study investigates the psychometric properties of a Cattel-Horn-Carroll theory-based processing speed ability test. According to the theory, processing speed ability, which has three narrow abilities (i.e., perceptual speed, number facility, and rate of test taking) supports and has a significant impact on general intelligence (about 0.7). A trial was conducted involving 137 people to test the quality of 299 composed items. Item selection and test reliability estimation were based on data analysis using ITEMAN. The result shows that the tests under investigation have sufficient psychometric properties and adequate reliability.
Growth patterns of plantation-grown Taiwania cryptomerioides following thinning

Summary Taiwania (Taiwania cryptomerioides Hayata) is an important tree species in Taiwan; its rapid growth makes it a choice species for intensive silviculture. To assist silviculturalists in planning operations, we developed growth and yield models for taiwania stands that had undergone four levels of thinning: none, light, medium, and heavy. The variables that we modelled are average diameter at breast height, average height, basal area per hectare and volume per hectare. We used data from a thinning experiment with the four levels of thinning undertaken at ages 17 and 25 y. The Chapman-Richards function provided the basis for our model. We modified this function to account for both the immediate effects of the thinnings and their longer-term effects on growth. The model was fitted using nonlinear mixed modelling with plot as the subject for the random effect. Since the thinnings were from below, they tended to increase the average diameter and height but decreased the basal area and volume of the residual stands. However, the total volume available (volume removed+volume standing) increased as the thinning intensity increased. Taiwania is found mainly at higher elevations and consequently the sites it grows on can be sensitive to erosion and landslides. Managing for wood production must therefore consider site protection and other aspects of resource management. We discuss the practical applications of these models that will be useful to managers trying to efficiently manage taiwania plantations on sites that are limited by biophysical and ecophysiological constraints.
Wiener Filtering in Frequency Domain to Enhance Speech Corrupted by Colored Noise

This paper presents a method for speech enhancement to predict speech quality in presence of highly non-stationary scenarios using basic wiener filtering in frequency domain with an adaptive gain function under eight different noises at three different ranges of input SNR. Its performance is evaluated in terms of objective quality measures like LPC based spectral distortion measures are Cepstrum Distance, Itakura Saito and Log Likelihood Ratio. This method was tested using Noizeous database, its performance measures were compared against spectral subtractive type algorithms and it shows its improvements in terms of objective quality measures.
Food of striped dolphin, Stenella coeruleoalba, in the Ligurian Sea

The stomachsof 23 striped dolphins (Stenella coeruleoalba Meyen, 1833, Cetacea), stranded along the Ligurian coast (western Mediterranean Sea), contained 32 species of cephalopods, crustaceans and fishes, totalling an estimated 2,723 prey specimens representing about 36 kg in weight. Cephalopods and bony fishes were equally important in the diet (50%). Todarodes sagittatus (34.5%) and Micromesistius poutassou (25.9%) were found to be the most important food species. Other species belonging to six cephalopod families, three crustacean families and nine bony fish families, contributed to the diet with variable numbers, weights, and occurrences, demonstrating the opportunistic character of striped dolphin feeding.
Phylogenetic analysis of the Cnidaria

The recent members of the phylum Cnidaria were analyzed with phylogenetic methodology and the help of the PAUP Computer program. The Cnidaria are established as a monophylum by their cnidocysts, planula larva, and a polyp stage. The Ctenophora were seen as the most probable sister group of the Cnidaria. Arguments for the monophyly of the cnidarian classes Anthozoa, Scyphozoa, Cubozoa, and Hydrozoa were providea. For the ground plan of the Cnidaria the following characters were postulated: triphasic life cycle consisting of a planula larva, a benthic polyp stage, and a sexually propagating medusa like stage. For the polyp a radial symmetry, lack of septae, and hollow tentacles were assumed. The original medusa probably was tetraradial and developed from the polyp stage by a total metamorphosis. Twelve polarized characters were used to generate cladograms. The most parsimonious one showed the Anthozoa as the first offshoot of the tree with the united Scyphozoa, Cubozoa and Hydrozoa forming its sister group. Within this sister group the Scyphozoa and Cubozoa were seen as sistergroups to each other. Both groups united are then the sistergroup of the Hydrozoa. A bootstrap analysis yielded the same tree with high probabilities for the internal nodes. Despite assuming a planktonic origin of the Cnidaria in this investigation, the resulting cladogram is also compatible with an evolution of the medusa stage within the Cnidaria after the splitting-off of the Anthozoa. The possible loss of the medusa stage in the Anthozoa is discussed.
THE WHIPLASH INJURY IN REAR-END COLLISION USING 3-D HUMAN WHOLE BODY MODEL

Many studies have been conducted to reveal the mechanism of the whiplash injuries. In those studies, it was suggested that the whiplash injuries were resulted in the damage of soft tissues in a cervical caused by the particular motion of the cervical after occurring a rear-end collision. Those studies have been performed with just twodimensional analysis. However, the collision occurs in various directions on the real accidents. Therefore, in this study, we developed the three-dimensional human whole body finite element model to investigate a complex cervical behavior caused by a rear-end collision. Each relative vertebral behavior were estimated in case of the rear-end collision from an oblique direction. The compressive stresses were calculated in the soft tissues of the cervical. In our finding, the torsional behavior was observed in a cervical spine. In addition, the compressive stresses in the facet joint were increased more higher than that of the conventional rear-end collision. Therefore, the risk of whiplash injuries may be more highly increased in the case of oblique collision compared to the conventional rear-end collision.
A method to evaluate needs and efficiency of formative pruning of fast-growing broad-leaved trees and results of an annual pruning.

L'objectif de l'etude etait de caracteriser objectivement et facilement la forme des feuillus precieux afin de quantifier leurs besoins en taille pour former une bille de pied droite et cylindrique. Nous voulions egalement pouvoir suivre l'evolution de cette forme, avec ou sans taille. Dans ce but, nous avons bâti une grille de notation des arbres reposant sur la definition de defauts de forme, tous rameaux de second ordre inseres sur la tige principale et susceptibles d'alterer durablement la rectitude et (ou) la decroissance de cet axe, et sur leur gravite, c. -a-d. importance et persistance des deformations qu'ils provoquent sur l'axe principal. Nous avons decrit a partir de cette grille des merisiers (Prunus avium L.), erables sycomore (Acer pseudoplatanus L.) et frenes (Fraxinus excelsior L.) en agroforesterie. La majorite des arbres a ete taillee chaque annee alors qu'une partie etait gardee non taillee pour avoir une reference quant a l'evolution naturelle des defauts. Les resultats montrent que la methode permet de classer les especes pour leurs besoins en taille selon deux criteres: la gravite du ou des defauts les plus frequemment rencontres et le nombre de defauts ajoutes en moyenne a l'arbre chaque annee. Nous montrons comment ces criteres peuvent etre utilises pour bâtir des strategies de taille adaptees aux differentes especes et evaluer les temps de travail correspondants. Des ameliorations de la methode sont proposees et les resultats de la taille de formation appliquee aux arbres sont egalement donnes et discutes.
Data Analyzer Using the Concept of Machine Learning

: As the workplace is becoming more tech-driven and fast-moving, data analysis has become an imperative part of any industry. Analyzing a data helps in simplification of complex information. This complex information is extremely difficult to interpret and a data analyzer shows only the most necessary outputs from the stored data. It requires detailed procedures and methodology. The biggest advantage of this interpretation of information is that it gives all the technical insights which is extremely important for any organization. Objective behind making a data analyzer is to provide accurate information to the respective organization. Accurate, significant and timely documentation is important for an effective decision-making process. The data presented can be in the form of figures, graphs, mathematical modelling etc. The key algorithm used for basic integration in this project is shunting algorithm.
SOSUImp1: high performance prediction system for single-spanning membrane proteins

Single-spanning membrane proteins (MP1) occupy the largest component of membrane proteins in total open reading frames of organisms, having essential functions such as signal transduction, immunological reaction and cell adhesion. We developed a novel software system comprised of two filtering layers for predicting MP1 with or without a signal peptide region. In the first filtering layer, we selected membrane proteins with one or two transmembrane (TM) regions by the membrane protein prediction system SOSUI, which is accurate in predicting transmembrane regions but cannot identify signal peptide regions. The second filtering layer was comprised of several modules for distinguishing signal peptide regions. On the assumption that a signal peptide has two kinds of sequences at the N-terminus by which the signal peptide is embedded into membrane and cleaved at its C-terminal end, we calculated two discrimination scores by the canonical discriminant analysis, using averages of several physical properties around the first N-terminal hydrophobic cluster. This prediction system SOSUImp1 comprised of two filtering layers could discriminate very accurately among five types of proteins: cytoplasmic soluble proteins and secretory proteins, MP1 with and without a signal peptide, and multi spanning membrane proteins. The performance for MP1 with a signal peptide that is important in the cell-cell communication was particularly high compared with previous prediction systems.The prediction system SOSUImp1 and the dataset of 5932 proteins used for developing the system are available at http://bp.nuap. nagoya-u.ac. jp/sosui/mp1/
An Empirical Study of Students' Intention to Use Cloud E-Learning in Higher Education

Technological progress has resulted in constant change of social structures and led to continuous evolution of attitudes and values. Thus, a timely and compre-hensive integrated technology acceptance framework was established, and factors predicting intention to use Cloud e-learning were empirically identified. A total of 11 determinants from varying sources of IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values were unified and analysed in an integrated manner. The target population for this study was a group of IT students in a private university in southern region Malaysia. The results obtained from this study observed that content quality, pedagogical quality, perceived usefulness, social influence, attainment value, and utility value significantly predict intention to use Cloud e-learning. By integrating IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values into a single framework, new insights on Cloud e-learning ac-ceptance in higher education can be attained.
Expressing Campaign Intent to Increase Productivity of Planetary Exploration Rovers

Achieving consistently high levels of productivity has been a challenge for Mars surface missions. While the rovers have made major discoveries and dramatically increased our understanding of Mars, they often require a great deal of effort from the operations teams and achieving mission objectives can take longer than anticipated. Missions have begun investigating ways to enhance productivity by increasing the amount of decision making performed onboard the rovers. Our work focuses on the use of goal-based commanding as a means of more productively operating rovers. In particular, we are working on ways to convey the intent that operations team use to conduct science campaigns to the rover so that it can guide the rover in creating high quality plans and in identifying its own goals based on operator guidance. In addition to informing future surface exploration missions, this work is relevant for a wide range of applications in which operators must interact with a robotic system with limited communica-
Arctic Sea Ice in Two Configurations of the Community

17 We provide an assessment of the current and future states of Arctic sea ice simulated by 18 the Community Earth System Model version 2 (CESM2). The CESM2 is the version of 19 the CESM contributed to the sixth phase of the Coupled Model Intercomparison Project 20 (CMIP6). We analyze changes in Arctic sea ice cover in two CESM2 configurations with 21 differing atmospheric components: the CESM2(CAM6) and the CESM2(WACCM6). Over 22 the historical period, the CESM2(CAM6) winter ice thickness distribution is biased thin, 23 which leads to lower summer ice area compared to CESM2(WACCM6) and observations. 24 In both CESM2 configurations, the timing of first ice-free conditions is insensitive to the 25 choice of CMIP6 future emissions scenario. In fact, the probability of an ice-free Arctic 26 summer remains low only if global warming stays below 1.5◦C, which none of the CMIP6 27 scenarios achieve. By the end of the 21st century, the CESM2 simulates less ocean heat 28 loss during the fall months compared to its previous version, delaying sea ice formation and 29 leading to ice-free conditions for up to 8 months under the high emissions scenario. As a 30 result, both CESM2 configurations exhibit an accelerated decline in winter and spring ice 31 area under the high emissions scenario, a behavior that had not been previously seen in 32 CESM simulations. Differences in climate sensitivity and higher levels of atmospheric CO2 33 by 2100 in the CMIP6 high emissions scenario compared to its CMIP5 analog could explain 34 why this winter ice loss was not previously simulated by the CESM. 35 Plain Language Summary 36 We provide a first look at the current and future states of Arctic sea ice as simu37 lated by the Community Earth System Model version 2 (CESM2), which is part of the 38 newest generation of large-scale climate models. The CESM2 model has two configurations 39 that differ in their representation of atmospheric processes: the CESM2(CAM6) and the 40 CESM2(WACCM6). We find several differences in the simulated Arctic sea ice cover be41 tween the two CESM2 configurations, as well as compared to the previous generation of 42 the CESM model. Over the historical period, the CESM2(CAM6) model simulates a win43 ter ice cover that is too thin, which leads to lower summer ice coverage compared to the 44 CESM2(WACCM6) model and observations. In both CESM2 configurations, the proba45 bility of the Arctic becoming nearly ice free at the end of the summer only remains low 46 if global warming stays below 1.5◦C. In addition, the specific year a first ice-free Arctic is 47 reached is not sensitive to the future greenhouse gas emissions trajectories considered here. 48
EFFECT OF VAGOTOMY ON THE MECHANICAL PERFORMANCE OF THE AORTA

The present study determined the long-term effect of bilateral dissection of the vagi nerves on the in vitro mechanical performance of the aortic wall. Eight healthy pigs were subjected to bilateral vagotomy, regarded as parasympathetic denervation, and ten pigs were shamoperated. Animals were euthanized three months later, and the aortic arch was excised. Tensile testing showed that the aortic wall after parasympathetic denervation was stiffer under low and physiologic, but not under high stresses. The effect of parasympathectomy on aortic function, thus, merits further clinical investigation.
SEVERE HAIL SIZE DISCRIMINATION USING DUAL-POLARIZED WEATHER RADAR DATA. A DUAL-WAVELENGTH COMPARISON BETWEEN C AND S BAND

Rudolf Kaltenboeck 1,2,3 and Alexander Ryzhkov 3,4,5 1Austrocontrol, Vienna, Austria, rudolf.kaltenboeck@austrocontrol.at 2Institute of Meteorology and Geophysics Innsbruck (IMGI) University of Innsbruck – Austria 3 Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 4 National Severe Storms Laboratory, NOAA, Norman, OK, USA 5 Atmospheric Radar Research Center, University of Oklahoma, Norman, OK, USA (Dated: 26 August 2011)
Ahmad Zakaria, and Sumiharni in 2015 with the title "Study of Synthetic Rainfall Modeling from Several Stations in Pringsewu Region". Novelina Purba and Brodjol Sutijo S.U in 2016 with the title "Modeling Rainfall Data in Banyuwangi District

803 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A1411109119/2019©BEIESP DOI: 10.35940/ijeat.A1411. 109119  Abstract: Rainfall is very important for human life. Both high and low rainfall can cause some problems, ranging from flood to drought. We can see that flood can be found in several big cities, and one of them is in Pekanbaru. Therefore, rainfall data analysis is needed to know the model and the pattern of rainfall distribution. In turn, the result can be used as a consideration for the development of the city or the formulation of policy in Pekanbaru’s governance. In this study, Log Pearson III distribution and Gumbel distribution model were used to analyze data of rainfall in Pekanbaru from January 2011 to April 2017. The purpose of this study was to determine the best rainfall model among Log Pearson III and Gumbel Distribution. To estimate parameters from both models, we used Maximum Likelihood and Newton Rephson method. Based on the use of the AIC and BIC test, this study results showed that Log Pearson III is better than Gumbel distribution in modeling the rainfall data of Pekanbaru.