Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in hemodynamic parameters with the use of etomidate versus ketamine induction in the emergency department

Objectives: Etomidate is the sedative agent of choice during rapid sequence intubation (RSI) owing to its hemodynamic stability, rapid onset of action, and short duration of action. Nevertheless, ketamine is rapidly gaining popularity as an alternative agent, primarily because of its catecholamine-mediated effects. This feature has prompted clinicians to use ketamine for hemodynamically unstable patients. The aim of this study was to compare the percent change in hemodynamic parameters resulting from the use of etomidate versus ketamine during RSI in the emergency department.Methods: This cross-sectional prospective observational study conducted at an academic emergency department included patients recruited from March 2018 through May 2019 on a convenience basis when the principal investigator was scheduled to work in the emergency department.Results: Our study showed a percent reduction in all hemodynamic parameters with the use of ketamine: -13.14% in systolic blood pressure, -10.40% in diastolic blood pressure, -10.15% in mean arterial pressure, and -1.12% in heart rate. Moreover, the rate of ≥ 20% reduction in hemodynamic parameters with ketamine was 27.27% in systolic blood pressure, 18.18% in diastolic blood pressure, 18.18% in mean arterial pressure, and 27.27% in heart rate.Conclusions: Although ketamine has a sympathomimetic effect, it may cause hemodynamic instability in select patients. Therefore, caution is advised when using ketamine routinely during RSI, especially in critically ill patients in the emergency department.
Exosomes from Adipose-Derived Stem Cells Can Prevent Medication-Related Osteonecrosis of the Jaw

The treatment measures of medication-related osteonecrosis of the jaw (MRONJ) is a worldwide challenge in oral and maxillofacial surgery because of its unclear pathogenesis. Previous studies suggested that mesenchymal stem cells played important roles in promoting MRONJ lesion healing, but the detailed mechanisms were unknown. Increasing numbers of studies have demonstrated that exosomes derived from mesenchymal stem cells, especially adipose-derived stem cells, have key roles in stem cell-based therapies by accelerating bone remodeling, facilitating angiogenesis, and promoting wound healing. We hypothesized that exosomes derived from adipose-derived stem cells can prevent MRONJ by accelerating gingival healing and enhancing bone remodeling processes. Our results may provide a promising therapeutic option for MRONJ clinical therapy.
Succession of reef fish community at the coral area rehabilitated with coral transplantation and artificial reef in West Sumatra, Indonesia

An established technique to rehabilitate the damaged coral reefs is by combining coral transplantation and artificial reef. This technique is able to increase the percentage of living coral cover which becomes new habitat for reef fish and in turn increases the number of species and individuals of fish associated with the coral reefs. This study aimed to determine the succession rate of reef fish at a rehabilitated coral area using aforementioned technique. Observation was carried out a month before implementing the rehabilitation procedure (February 2018), continued with monthly survey from April to June 2018 using Underwater Fish Visual Census Method for collecting data on 60 m rehabilitated area. The observation on reef fish community structure used parameters such as abundance, dominance, diversity and uniformity indices. The result showed increment, yet slightly fluctuative, on reef fish community structure over observation period. In February, five families, 11 species and 39 individuals of reef fish were recorded; in April, eight families with 17 species and 235 individuals were observed; in May seven families, 20 species and 163 individuals sighted; eventually nine families, 23 species, and 263 individuals were recorded on last observation in June. This study indicated that the combination of coral transplants and artificial reef accommodate an advanced succession stage for reef fish community at the rehabilitated coral area. The observation detected presence and absence of certain fish species on monthly basis, with the overall data hinted a moderate diversity, uniform species similarity and no dominant species in the rehabilitated area.
Trajectory Clustering of Inbound Aircraft based on Feature Representation and Selection

—Trajectory clustering is an efficient way to identify the prevailing inbound patterns, which could help to improve both individual flight and system-level efficiency. Most of the existing trajectory clustering methods mainly relied on the framework of partition-and-group or the hierarchical clustering strategy. In this paper, we proposed a new trajectory clustering method that focused on the feature representation and selection for the inbound trajectories. Firstly, the representative features of the inbound trajectory were extracted. Secondly, the irrelevant and redundant features were eliminated based on Laplacian Scores and Spearman’s correlation coefficients. Thirdly, since each trajectory can be represented as a sample with the same size of features, various standard clustering algorithms could be applied for identifying the prevailing patterns. Furthermore, we carried out case studies by using the trajectories of inbound flight landing on Shanghai Pudong International Airport. The results indicated that the proposed method could not only distinguish the important features for inbound trajectories but also identify the prevailing inbound patterns effectively and efficiently.
Digital Recognition by Deep Learning Techniques: A Proposed Digit Recognizer to Automate Cheque Deposition

: A cheque is a payment instrument that requires high-cost processing in banks because it involves significant manual works. The usage of cheque still exists as an important non-cash payment instrument,eventhoughBank Negara Malaysia has imposed a new processing fee of RM0.50 per cheque since 2015. In this paper, we propose a digit recognizer where manual input of payee’s account number and cheque amount by the customer will be ceased to simplify the manual process at the cheque deposit machine. The handwritten account number and the cheque amount will be read by the digit recognizer automatically through the cheque image. The proposed automate process eases all the customers and reduces the recurring jobs done by bank staff which may cause input errors. The digit recognizer is developed usingConvolution Neural Network algorithm with preliminary accuracy of 99.65%.
WATER RETENTION, SHEAR FORCE AND TEXTURE PARAMETERS OF CATTLE PSOAS AND SEMITENDINOSUS MUSCLES UNFROZEN AND FROZEN DURING POST-MORTEM AGEING

The cooking losses, shear force values and Texture Profile Analysis (TPA) parameters of psoas major and minor (PM) and semitendinosus (ST) muscles of calves, heifers and cows were evaluated. The muscles were roasted at 170°C in an electric oven to an internal temperature of 78°C after 1, 3, 6, 9 and 12 days of post-mortem ageing at 4°C. After the same time of cold ageing, the muscles were frozen to -18°C and stored at this temperature for 1 month. They were then thawed and analysed after roasting under the same conditions. The thawing losses were also determined. The thawing and cooking losses were the highest in cow muscles and the lowest in calf muscles. Changes in the water retention of muscles during post-mortem ageing were low, the lowest were observed after the first day post-mortem. The shear force values were higher for ST than for PM muscles. During post-mortem ageing of meat, shear force values decreased, faster in PM than in ST muscles. The rate of tenderization of calf muscles was higher than that of heifer muscles, whereas heifer muscles were tenderised faster than cow muscles. Shear force values of frozen/thawed and roasted muscles were higher in comparison with unfrozen ones. The cow muscles and ST muscles had higher values of hardness, springiness, cohesiveness, resilience and chewiness than calf muscles and PM muscles, respectively. There were no significant changes in TPA parameters during post-mortem ageing of the analysed muscles.
BENEFITS AND BARRIERS OF ENTREPRENEURIAL VENTURES- A LITERATURE REVIEW POINT OF VIEW

This study seeks to provide an insight into the benefits and barriers of entrepreneurial ventures. The study contributes to the world of knowledge by not only providing an understanding of the benefits and barriers of entrepreneurial ventures but complement previous studies done within the same area of study. In pursuance of the aim of the study, a comprehensive literature review was carried out on the benefits and barriers of these ventures. The paper finds that entrepreneurial ventures contribute significantly to national economies globally through employment creation, competition, innovation, inflation reduction, production of goods and services, gross domestic product, balanced regional development, social benefits and improved standards of living and knowledge enrichment and entrepreneurship development. The paper also identified the barriers of entrepreneurial ventures including but not limited to lack of access to finance, lack of information/ knowledge, lack of skilled workers and management skills, lack of infrastructure, escalating corruption, policies/law and regulations, cultural and social barriers, poor record keeping, economic influences and market.
Named Entity Recogniser – An Icelandic Prototype

A named entity recogniser ﬁnds named entities (proper nouns) in a text, and labels them by category. It is a fundamental tool in natural language processing, in particular in the development of information extraction systems. In this paper, we present a prototype of a named entity recogniser for Icelandic, based on artiﬁcial neural networks. The training of such networks requires a textual corpus where named entities have been labelled. As no such corpus exists for Icelandic, its creation is a subject of this project. The recogniser was built using NeuroNER, a software package designed for named entity recognition. The results indicate that this is a viable approach towards recognition of named entities in Icelandic (F 1 =81.3%), especially considering the moderate size of the training corpus. Word embeddings, created from a much larger unlabelled corpus, turned out to improve the results greatly, warranting further study.
Classifying emotional responses to color and texture in images

The notion that people show different emotional responses to different colors is a basic assumption in many industries. Studies have shown that people report different affective associations depending on what color is perceived; i.e.: a subject might consider red to be a warmer color than yellow. However, such studies are not representative for most real life situations, since only uniform color is considered. The aim of our study was threefold. First we extended on findings from the literature by investigating the combined effect of color and texture on affective associations. Secondly, we investigated if such effects can also be found in response to real-world data. Thirdly, we attempted to construct algorithms which can model human associations based on the color and texture information of an input image. Such algorithms have potential applications in the domain of multimedia indexing, search and retrieval. A set of empirical experiments was performed, gathering color emotion evaluations on four different kinds of datasets ( uniform color, monochrome texture, colored texture and real world data (outdoor scenes)) under carefully controlled circumstances. The data thusly obtained served as the basis for statistical analysis as well as being the ground truth for developing computational models. Factor analysis of the different datasets identified the underlying component spaces of color emotion in relation to color and texture and explicated their interaction effect. Using a boosting approach to machine learning and a large selection of color and texture features, models were build for color emotion in response to uniform color, monochrome texture, colored texture and real world data. These models captured an average of respectively 100%, 83%, 82% and 88% of the variance in the groundtruth data. Furthermore it was shown that color emotion responses are context dependent and that some color emotion scales are more stable to contextual changes than others. This study provides several contributions to the current literature. It is the first to provide a study of color emotion in relation to texture and colored texture under controlled conditions and contributes to the limited description of the interaction effects of color and texture available in the literature. It has not previously been shown that consistent and predictable color emotions occur in response to real world data, nor that such responses are prone to context effects. Additionally this study contributes to the development of new models by providing the means to construct higher order color emotion descriptors based on the identified factor structures. Finally, it shows that boosting is a valid and flexible approach to modeling color emotion, illustrating it to be a suitable approach to building general purpose retrieval applications based on color emotion.
Social network positions, trust behavior and its neural mechanisms in young adolescents

Assessing the trustworthiness of others to learn who you can and cannot trust is important for social relationships. During early adolescence, the social environment becomes increasingly complex. The number and nature of one’s friendships may help to shape, and may be facilitated by, adequate trust behavior. In the current fMRI study, we investigated in 49 young adolescents (Mage=12.8, SDage=0.4, 18 boys) the ability to adapt trust behavior when interacting with an untrustworthy partner as well as the neural mechanisms of trust using a trust game. Furthermore, we examined how trust behavior, the neural mechanisms of trust, and the position in a social network are related. Results indicate that adolescents decreased their trust behavior throughout the game. fMRI analysis showed no increased activity in regions of interest when making trust decisions. When receiving feedback, increased activity in the cognitive control and reward network was shown. Furthermore, less central social network positions (eigencentrality) were associated with lower overall trust behavior, which was the better strategy in the current interaction. In contrast, eigencentrality was not related to the adaptation of trust behavior or to brain activity. The current study provides insights in trust behavior and the neural mechanisms of trust in young adolescents.
Perceived Barriers and Facilitators for Bedtime Routines in Families with Young Children

Objectives: Bedtime routines are a highly recurrent family activity with important health, social and behavioural implications. This study examined perceived barriers to, and facilitators of, formulating, establishing, and maintaining optimal bedtime routines in families with young children. Design: Participants completed a semi-structured interview based on the Theoretical Domains Framework (TDF). Analysis followed a deductive approach. Participants: A total of 32 parents participated in the study. Most participants (N = 30) were females, were white (N = 25) and stay at home parents (N = 12). Results: Key barriers included lack of appropriate knowledge and sources of information, problematic skills development, social influences, cognitive overload, and lack of motivation for change. Facilitators included social role, access to resources, positive intentions, beliefs about consequences and reinforcement. In particular, optimal bedtime routines were less likely to be enacted when parents were tired/fatigued and there was a strong effect of habit, with suboptimal routines maintained over time due to past experiences and a lack of awareness about the importance of a good bedtime routine. Conclusions: Several theory-based, and potentially modifiable, determinants of optimal bedtime routines were identified in this study, providing important information for future interventions. Several of the key determinants identified were transient (tiredness) and/or non-conscious (habit), suggesting that future interventions may need to be deployed in real time, and should extend beyond conventional techniques.
MODELLING OF ADIABATIC STEAM STRIPPING OF PAH-WATER BINARY MIXTURE IN MEAN FIELD APPOROXIMATION

The process of steam stripping of two-component sludge is described in isobaric approximation. The stripping process is split in two stages. The first stage is the diffusion controlled saturation of the partial pressures which goes relatively fast. Next stage is heat transfer controlled evaporation. First, the phase diagram of PAHwater is constructed using solubility data and linear dependence of partial pressures on molar fraction outside miscibility gap. Next, the microscopic model for the estimation of the properties of PAH-water system is discussed in order to improve the empirical approach. Naphthalene-water system is taken as a particular example. Partial pressures and phase diagram are obtained within the model by use of mean field approximation in lattice-gas model, where the size of one type of molecule is considerably larger than that of another.
Survey of Mite Species Inhabiting Animal Production Farm at Sohag Governorate, with Checklist of Mites Existing Manure and Dung Hills in Egypt

The present study was carried out in the newly established animal production farm of the Faculty of Agriculture, Sohag University, in order to survey the mite species inhabiting manure and dung hills. The study showed the occurrence of six species of mites (i.e., Macrocheles solimani Hafez, El-Badry & Nasr, 1985; Macrocheles merdarius (Berlese, 1889); Uropodiaspis aegyptiacusAhmed, 1984; Siteroptes manure Soliman & Kandeel, 1986; Histiostoma arcuatus Negm, 2007 and Hormosianoetus mahunkai Eraky & Shoker, 1993. The checklist reported 120 mite species pertaining to 18 families and 53 genera. Interestingly, the largest diversities of mite species were recorded to the Mesostigmata (50 species) and the Acaridida (45 species). Therefore, it is clear that, there are large numbers of mite pests ( Acaridida species ) inhabiting manure in Egypt, that may be transferred to agricultural crops when manure used in cultivation. On the other side, the diversity of the predatory mite species should be taken into consideration to establish control programs by using these species as a biological control agent to control the pest ones [1-15].
Ab initio molecular dynamics simulation of the Cu(110)–water interface

The results of a first principles simulation of the Cu(110)–water interface are presented. The calculations were carried out using ab initio Car–Parrinello molecular dynamics simulation within a pseudopotential formalism and the BLYP generalized gradient approximation to the exchange-correlation potential. An analysis of the structural properties of the interface shows that absorption of H2O molecules occurs on the metal top sites which is in agreement with experimental results. The electronic structure of the interface has also been explored. It was found that there is a strong coupling of the water overlayer with the metal crystal electronic states. However, the surface-states charge density is undisturbed by the presence of water. The empty surface states are seen to not be quenched by the presence of water, which is also in qualitative agreement with existing experiments.
Viva Vallarta! Impacts of the re-definition of a tourist resort in Jalisco/Nayarit, Mexico

Puerto Vallarta is a coastal resort in the state of Jalisco that depends upon what Pearce has termed “sunlust tourism”. Vallarta is located at the head of Banderas Bay (the “Bay of Flags”), and its recent growth and development has been dominated both by tourism and by the local physical geography. This paper looks at two major features that have characterised these changes. First, recent rapid growth has led to the opening of a huge opportunistic resort, in Nayarit State, known as Nuevo Vallarta. This may transform tourism in the Vallarta region over the long term, and we discuss this potential. Second, the growth of tourism in a restricted physical environment has meant that the population that works within the industry is constrained in its residential opportunities. Thus some residential areas within the city have been turned over to tourism, and some nearby towns act as dormitory settlements for tourist workers. We evaluate some of the impacts on one such town, Ixtapa, which was once the largest settlement in this region. It is concluded that continued growth in tourism may be inevitable at the head of “The Bay of Flags”, but that much care is needed in order to reduce the negative economic, social, and environmental impacts of such development.
Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement

Speech enhancement using augmented Kalman filter (AKF) suffers from the inaccurate estimates of the key parameters, linear prediction coefficients (LPCs) of speech and noise signal in noisy conditions. The existing AKF particularly enhances speech in colored noise conditions. In this paper, a deep residual network (ResNet)-based method utilizes the LPC estimates of the AKF for speech enhancement in various noise conditions. Specifically, a ResNet20 (constructed with 20 layers) gives an estimate of the noise waveform for each noisy speech frame to compute the noise LPC parameters. Each noisy speech frame is pre-whitened by a whitening filter, which is constructed with the corresponding noise LPCs. The speech LPC parameters are computed from the pre-whitened speech. The improved speech and noise LPC parameters enable the AKF to minimize residual noise as well as distortion in the enhanced speech. Objective and subjective testing on NOIZEUS corpus reveal that the proposed method exhibits higher quality and intelligibility in the enhanced speech than some benchmark methods in various noise conditions for a wide range of SNR levels.
Agricultural Teachers' Professional Competency for Working with Students with Special Needs in Iran

The purpose of this study was to identify Professional Competencies (PCs), including General and Specific Competencies (GSCs), of Agricultural Teachers (ATs) working with Students with Special Needs (SSNs), known as exceptional students (1,013 people), in Vocational High School Education System (VHSES) in Iran, within two phases. Accordingly, the main objective of the first phase was to identify General Competencies (GCs) of these teachers. Therefore, in the first phase, the components of teachers’ GCs were taken from theoretical literature and research documents via content analysis and the findings revealed that the GCs encompassed 6 components of Instruction Design (ID), Professional Development (PD), Professional Ethics (PEs), cooperation, Perceived Student Diversity (PSD), and technology. The objective of the second phase of this study was also to find Specific Competencies (SCs) of ATs working with SSNs. This phase of the study was conducted using the classical 3-step Delphi technique. In this respect, the specialized Delphi team consisted of 22 ATs working at Iran’s Exceptional Schools (ESs), selected through purposive sampling method. Finally, the findings reduced to the identification of 24 SCs for ATs working with SSNs, which were then grouped into two categories of Agricultural Competencies (ACs) and Exceptional Competencies (ECs).