Miracle-dz/UniFAR-FTUs huggingface dataset:
Job satisfaction and potential opportunities for career growth among hotel employees: The case of Oman

As with other Gulf Cooperation Council countries, Oman is attempting to increase the number of citizens employed in its hospitality sector. Although several government initiatives have been launched to address this issue, the number of Omanis employed in the hospitality sector continues to be low. The current study aims to determine the causes for this disinterest within the hotel industry. Under the premise that the industry’s negative image stems from the experiences of existing Omani hotel employees, the current study investigates their job satisfaction, work-related challenges, and commitment to hotel employment. A mixed methods study was conducted among Omani employees of four- and five-star hotels in Muscat using focus-groups and a structured questionnaire. The results reveal strong dissatisfaction with financial compensation and the limited growth opportunities. The authors conclude that government intervention is required and, beyond improving entrance to hospitality employment, local authorities should be concerned with the growth and development of employees. Further theoretical and practical implications are discussed.
Experimental Glass Ionomer Cement Containing Gallic acid: Antibacterial Effect and Fluoride Release an in vitro Study

Abstract: Aim: Assessment of antibacterial effect and fluoride release on glass ionomer cement (GIC) modified by different concentrations of gallic acid (GA) and their effect on working and setting time. Methodology: Four groups were tested, group I (control non modified group) and groups II-IV represent GIC modified by GA in three different concentrations (125mg/ml, 62.5mg/ml and 31.25mg/ml GA powder / GIC liquid respectively). Antibacterial effect against Streptococcus Mutans (S. Mutans) was determined after 24hr by broth dilution method. Fluoride release was evaluated after three time intervals 24, 48 and 96hr using spectrophotometer. Working and setting time were measured in all groups by indentation method. Results: Increasing the concentration of GA significantly increase the antibacterial effect. For all time intervals, the highest fluoride release were observed in group IV and the lowest were in group I. After 24hr groups II, III and IV were significant to group I, while after 48 and 96hr group IV was significant to group I. In addition, working and setting time significantly increased with increasing the GA concentration. Conclusion: Gallic acid improve the antibacterial effect of GIC against S. Mutans and also improve the fluoride release. The increase in working and setting time of GA modified groups were still within the limit given by ISO 9917–1:2007 specifications.
Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm

A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In this research, the technical complexities in extracting the clinical text data are removed by using machine learning and natural language processing techniques, in which an unstructured clinical text data with low data quality is recognized by Halve Progression, which uses Medical-Fissure Algorithm which provides better data quality and makes diagnosis easier by using a cross-validation approach. Moreover, to enhance the accuracy in extracting and mapping clinical text data, Clinical Data Progression uses Neg-Seq Algorithm in which the redundancy in clinical text data is removed. Finally, the extracted clinical text data is stored in the cloud with a secret key to enhance security. The proposed technique improves the data quality and provides an efficient data extraction with high accuracy of 99.6%.
ROSAS Wind Tunnel Test Campaign Dedicated to Unconventional Aircraft Concepts Study

An extensive acoustic wind tunnel test campaign was conducted between March and September 2003 in the frame of the European research project ROSAS to assess experimentally the noise shielding effectiveness of classic airframe components for unconventional aircraft configurations for the first time ever in Europe. A complete aircraft model (1/11th-scale) was installed in the ONERA CEPrA19 anechoic wind tunnel, successively with a fan and a jet noise simulator representing the noise sources of an advanced, high bypass ratio turbofan. Various positions of the engine with respect to the airframe were tested with noise measurements being performed in the far field. The ROSAS test campaign has allowed gathering a comprehensive database on noise installation effects for novel aircraft concepts, yet with the shortcomings of the first of its kind. Hence the effects of the noise source characteristics, of a number of geometrical parameters and of the external flow were analyzed to some extent. Significant noise attenuation was evidenced as expected, and other secondary installation effects were also studied. This paper presents the ROSAS experiment, results and preliminary analyses of the acoustic shielding phenomena.
Case Report: Successful ABO-Incompatible Deceased Donor Kidney Transplantation in an Infant Without Pre-transplant Immunological Treatment

ABO blood group antibodies have not been generated or are at low titer during early infancy. Therefore, in theory, ABO-incompatible kidney transplantation (ABOi KT) may be successfully achieved in small infants without any pre-transplant treatment. We report here the first ABO-incompatible deceased donor kidney transplantation (ABOi DDKT) in an infant. The recipient infant was ABO blood group O, and the donor group A. The recipient was diagnosed with a Wilms tumor gene 1 (WT1) mutation and had received peritoneal dialysis for 4 months prior to transplant. At 7 months and 27 days of age, the infant underwent bilateral native nephrectomy and single-kidney transplantation from a 3-year-old brain-dead donor. No pre- or post-transplantation antibody removal treatment was performed, since the recipient's anti-iso-hemagglutinin-A Ig-M/G antibody titers were both low (1:2) before transplantation and have remained at low levels or undetectable to date. At 11 months post-transplant, the recipient is at home, thriving, with normal development and graft function. This outcome suggests that ABOi DDKT without antibody removal preparatory treatment is feasible in small infants, providing a new option for kidney transplantation in this age range.
Craniofacial and Oral Manifestations of Non-Syndromic Hypodontia: A Review

Patients with hypodontia appear to have a different craniofacial morphology as compared with controls. They tend to have more class III skeletal pattern and retroclined upper and lower soft tissue lips as a consequence of retroclined upper and lower incisors. These features are more pronounced as the severity of the hypodontia increases. In addition to changes in craniofacial and soft tissue morphology, various dental anomalies are commonly associated with hypodontia such as microdontia of the remaining dentition, anomalies in tooth shape, particularly peg-shaped upper lateral incisors, smaller root dimensions of some of the permanent teeth, and decreased maxillary and mandibular dental arch widths and lengths measurements. Other dental anomalies which are seen in association with hypodontia are taurodontism of molars, retained deciduous molars, delayed development of the permanent teeth, distoangulation of the mandibular second premolar, and infraocclusion of the deciduous molars.
Epilepsy detection with artificial neural network based on as-fabricated neuromorphic chip platform

Epilepsy is a serious neurological condition caused by a sudden abnormality of brain neurons. An accurate epilepsy detection based on electroencephalogram (EEG) signals can provide vital information for diagnosis and treatment. In this study, we propose a lightweight automatic epilepsy detection system with artificial neural network based on our as-fabricated neuromorphic chip. The proposed system utilizes a neural network model to achieve high-accuracy detection without the need for epilepsy-related prior knowledge. The model uses a filter module and a convolutional neural network to preprocess the raw EEG signal and uses a long short-term memory recurrent neural network and a fully connected network as the classifier. In the examination, the classification accuracy of the normal cases and seizures approaches 99.10%, and the accuracy of the normal cases, and interictal and seizure cases can reach 94.46%. This design provides possible epilepsy detection in wearable or portable devices.
The Effect of 21st Century Skills Training on Foreign Language Teachers’ Perceptions Regarding Their Educational Technology and Materials Development Competencies

This study aims to show whether 21st Century Skills Material Design Teacher Training and Professional Development Program enhance foreign language teachers’ perceptions regarding their educational technology and material development competencies. It is worthy of recommendation that teachers should learn what 21st century skills are and how to bring these skills into classroom by creating their own foreign language teaching materials through digital technologies. To that end, an 8-week teacher-training program was held at Istanbul University. Thirty-three English teachers participated in the study. Application-based Educational Technology and Material Development Competencies Scale was conducted as pre-test and post-test before and after 8-week training in order to measure changes of the teachers’ perceptions. In addition, teachers' opinions have been obtained through structured interview technique to deepen the parts that are not acquired from quantitative data. Results of the study indicate that this type of strategy training was found useful for developing teachers’ perceptions regarding their educational technology and material
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts

Multimodal multiobjective problems (MMOPs) commonly arise in real-world situations where distant solutions in decision space share a very similar objective value. Traditional multimodal multiobjective evolutionary algorithms (MMEAs) prefer to pursue multiple Pareto solutions that have the same objective values. However, a more practical situation in engineering problems is that one solution is slightly worse than another in terms of objective values, while the solutions are far away in the decision space. In other words, such problems have global and local Pareto fronts (PFs). In this study, we proposed several benchmark problems with several local PFs. Then, we proposed an evolutionary algorithm with a hierarchy ranking method (HREA) to find both the global and the local PFs based on the decision maker’s preference. Regarding HREA, we proposed a local convergence quality evaluation method to better maintain diversity in the decision space. Moreover, a hierarchy ranking method was introduced to update the convergence archive. The experimental results show that HREA is competitive compared with other state-of-the-art MMEAs for solving the chosen benchmark problems.
Identification of Descriptive Parameters of the Soil Pore Structure Using Experiments and CT Data

In this paper, methods are presented that combine experimental and micro tomographic information to derive parameters of the grain and pore structure of wide-gradated soils. For this purpose, samples based on a model soil were prepared for special experiments as well as for high-resolution CT imaging. Compacting and column experiments were developed to determine specific parameters of the pore and grain structure. Among others, the grain size and discharge quantity of potentially mobile grains were identified as well as characteristics of the supporting skeleton of the model. The results of the compaction and column experiments provide suitable geometric parameters of realistic grain and pore structures for analyzing suffosive erosion phenomena, whereas the CT specimens support the description and visualization of representative pore structures. The presented methods contribute to a better understanding of the physical processes within the pore structure. As a part of the joint project Conditions of suffosive erosion phenomena in soils, the results of this paper can be incorporated into pore-network models to verify and simulate existing transport models.
Distribution, Maturity, Age and Growth of Gray Snapper (Lutjanus griseus) in the Northwestern Gulf of Mexico

Recent population expansion of Gray Snapper, Lutjanus griseus, in the northern Gulf of Mexico is driving increasing catch in the recreational fishery in Texas. We assessed long—term trends in distribution and abundance of Gray Snapper in Texas using fishery—dependent and fishery—independent data collected by the Texas Parks and Wildlife Department in the years 1980 — 2019. Boosted regression trees (BRT) were used to evaluate factors (water quality, season, depth, bay and inlet distance) driving Gray Snapper presence in fishery—independent samples of juveniles (seines) and subadults (gill nets) found in estuaries. Estuarine Gray Snapper were subsequently sampled from gill nets, and otolith age and gonad development were evaluated microscopically to assess patterns of age, growth, and maturity. Increasing Gray Snapper abundance in Texas was coupled with expansion of the population age structure in comparisons before and after 1993. Gray Snapper juveniles and subadults encountered in Texas estuaries are generally associated with lower bays and offshore passes, and are more common in the late summer/early fall. Comparison of size (total length in mm) of recreational catch inshore versus offshore suggests that mature adults recruit to offshore habitats around 409 mm TL, or around 3 years old, which is approximately coincident with the onset of sexual maturity. Increasing abundance coupled with an expanding age structure of Gray Snapper in Texas have co—occurred with increasing winter temperatures over time. Population expansion could be facilitated by management measures that improve overwinter survival of juveniles and subadults in estuaries prior to offshore recruitment.
Incorporating Biomarkers in COPD Management: The Research Keeps Going

Globally, chronic obstructive pulmonary disease (COPD) remains a major cause of morbidity and mortality, having a significant socioeconomic effect. Several molecular mechanisms have been related to COPD including chronic inflammation, telomere shortening, and epigenetic modifications. Nowadays, there is an increasing need for novel therapeutic approaches for the management of COPD. These treatment strategies should be based on finding the source of acute exacerbation of COPD episodes and estimating the patient’s own risk. The use of biomarkers and the measurement of their levels in conjunction with COPD exacerbation risk and disease prognosis is considered an encouraging approach. Many types of COPD biomarkers have been identified which include blood protein biomarkers, cellular biomarkers, and protease enzymes. They have been isolated from different sources including peripheral blood, sputum, bronchoalveolar fluid, exhaled air, and genetic material. However, there is still not an exclusive biomarker that is used for the evaluation of COPD but rather a combination of them, and this is attributed to disease complexity. In this review, we summarize the clinical significance of COPD-related biomarkers, their association with disease outcomes, and COPD patients’ management. Finally, we depict the various samples that are used for identifying and measuring these biomarkers.
Intergenerational Persistence in Child Mortality

We study the intergenerational persistence of inequality by estimating grandmother-mother associations in the loss of a child, using pooled data from 119 Demographic and Health Surveys in 44 developing countries. Compared with compatriots of the same age, women with at least one sibling who died in childhood face 39 percent higher odds of having experienced at least one own-child death, or 7 percentage points at age 49. Place fixed effects reduce estimated mortality persistence by 47 percent; socioeconomic covariates explain far less. Within countries over time, persistence falls with aggregate child mortality, so that mortality decline disproportionately benefits high-mortality lineages. (JEL I12, J13, J16, J62, O15)
Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

How much does money drive legislative outcomes in the United States? In this article, we use aggregated campaign finance data as well as a Transformer based text embedding model to predict roll call votes for legislation in the US Congress with more than 90% accuracy. In a series of model comparisons in which the input feature sets are varied, we investigate the extent to which campaign finance is predictive of voting behavior in comparison with variables like partisan affiliation. We find that the financial interests backing a legislator’s campaigns are independently predictive in both chambers of Congress, but also uncover a sizable asymmetry between the Senate and the House of Representatives. These findings are cross-referenced with a Representational Similarity Analysis (RSA) linking legislators’ financial and voting records, in which we show that “legislators who vote together get paid together”, again discovering an asymmetry between the House and the Senate in the additional predictive power of campaign finance once party is accounted for. We suggest an explanation of these facts in terms of Thomas Ferguson’s Investment Theory of Party Competition: due to a number of structural differences between the House and Senate, but chiefly the lower amortized cost of obtaining individuated influence with Senators, political investors prefer operating on the House using the party as a proxy.
The Teaching Efficacy of Preservice Mathematics Teachers: Research in the Republic of Serbia

Th is research aims to study the psychometric properties and theoretical structure of the Serbian version of the Mathematics Teaching Eﬃ cacy Beliefs Instrument (MTEBI) which was developed by Enochs, Smith and Huinker (2000). Th e sample consisted of 252 preservice primary and preschool teachers from teacher education faculties in Serbia. Th e original MTEBI indicated acceptable reliability (α=0.779). Th e results of conﬁ rmatory factor analysis indicate that the ﬁ t of the original MTEBI model to the data is not acceptable, but the re-speciﬁ ed model (MTEBI12) shows good ﬁ t and acceptable reliability (α=0.742). Th ese ﬁ ndings indicate that a short 12 item version of MTEBI possesses adequate psychometric properties and is applicable to the sample of respondents in the Republic of Serbia.
Moment that Goes Beyond Silence: Parents' Lived Experiences of Grief Due to Traumatic Loss in Bataan, Philippines

Existing evidence suggests that adverse effects are numerous after a traumatic event. This research aims to validate that by revealing the lived experiences of trauma survivors over the span of two years. A descriptive phenomenological approach was used to accomplish this goal. For data collection, face-to-face and virtual semi-structured interviews were used. The researchers interviewed thirteen parents who had tragically lost a child due to homicide, murder, suicide, or a traffic accident. Four themes appear to emerge, with 17 subthemes. The five subthemes of hurting are behavioral dysfunction, affective destruction, biological pain, cognitive disruption, and interpersonal conflict. Meanwhile, coping has five subthemes: emotion-focused, social interaction-focused, digital-focused, behavior-focused, and cognitive-focused. The growing theme is composed of five subthemes: interpersonal enhancement, life appreciation, spiritual growth, parenting actualization, and insight imparting. The remembering theme is divided into two themes, the presence, and absence of the deceased child. Though limited, this study can nonetheless serve as the country's first to focus on grief by traumatic loss. It will serve as additional knowledge in the fields of psychotraumatology, thanatology, positive psychology, and suicidology in the Philippines. Clinicians and other mental health care providers would benefit from the information based on their own experiences as grieving parents. Additionally, research ideas are provided. Indeed, this paper proves that a survivor can not just experience the negative impacts but also grow personally from one of the most traumatic events in human experience.
Monitoring war‐generated environmental security using remote sensing: A review

The negative impact humans have on the environment directly affects the environmental security. Over the years, it has been proven that wars make drastic and sometimes unrecoverable environmental damage. Remote sensing has played a main role in providing necessary data for spatiotemporal analysis. This paper reviews remote sensing implementation of war activities for environmental monitoring. This review is timely due to the exponentially increasing number of works published in recent years. This paper's main objective is to locate the papers and find geographic link, sensor use, and environmental degradation type. Following a discussion of remote sensing's capabilities, this overview illustrates numerous environmental damages caused by military operations in various world places. Our study found that wars have a detrimental influence on the ecosystem across the world, with major reasons being forest loss, oil spills, and urban growth. According to the findings, remote sensing, particularly middle‐resolution satellite images, is extensively and successfully employed for environmental security monitoring. The rehabilitation of a deteriorated environment should be one of the key areas of future study.
The Role of Endoscopic Ultrasonography in the Diagnosis and Staging of Pancreatic Cancer

Simple Summary Pancreatic cancer ranks as the seventh leading cause of cancer-related death worldwide. The overall prognosis of pancreatic cancer is poor even in patients with resectable disease. Early detection and accurate diagnosis and staging of pancreatic cancer are essential for developing a treatment strategy, as surgical resection can provide the only potential cure for this disease. Endoscopic ultrasonography is essential in the diagnosis and loco-regional staging of the disease. Abstract Pancreatic cancer is the fourth leading cause of cancer-related death and the second gastrointestinal cancer-related death in the United States. Early detection and accurate diagnosis and staging of pancreatic cancer are paramount in guiding treatment plans, as surgical resection can provide the only potential cure for this disease. The overall prognosis of pancreatic cancer is poor even in patients with resectable disease. The 5-year survival after surgical resection is ~10% in node-positive disease compared to ~30% in node-negative disease. The advancement of imaging studies and the multidisciplinary approach involving radiologists, gastroenterologists, advanced endoscopists, medical, radiation, and surgical oncologists have a major impact on the management of pancreatic cancer. Endoscopic ultrasonography is essential in the diagnosis by obtaining tissue (FNA or FNB) and in the loco-regional staging of the disease. The advancement in EUS techniques has made this modality a critical adjunct in the management process of pancreatic cancer. In this review article, we provide an overall description of the role of endoscopic ultrasonography in the diagnosis and staging of pancreatic cancer.