Miracle-dz/UniFAR-FTUs huggingface dataset:
One Health: the global challenge of Clostridium difficile infection

The One Health concept recognises that the health of humans is interconnected to the health of animals and the environment. It encourages multidisciplinary communication and collaboration with the aim of enhancing surveillance and research and developing integrative policy frameworks. Clostridium difficile (also known as Clostridioides difficile) infection (CDI) has long been viewed as a hospital-associated (HA) enteric disease mainly linked to the use of broad-spectrum antimicrobials that cause dysbiosis in the gut and loss of ‘colonisation resistance'. However, since the early 2000s, the rate of community-associated CDI (CA-CDI) has increased to ~15% in Europe, ~30% in Australia and ~40% in the USA in populations often without obvious risk factors. Since the 1990s, it has become apparent that food animals are now a major reservoir and amplification host for C.difficile, including lineages of clinical importance. Cephalosporin antimicrobials, to which C. difficile is intrinsically resistant, were licensed for animal use in North America in 1990. By the second decade of the 21st century, there were reports of C. difficile contamination of food and the environment in general. Using whole-genome sequencing (WGS) and high-resolution typing, C. difficile isolates from humans, animals, food and the environment were proven to be genetically closely related and, in some cases, indistinguishable. This suggests possible zoonoses and/or anthroponoses, with contaminated food and the environment acting as the conduit for transmission between animals and humans. This paper summarises the key evidence that demonstrates the One Health importance of C. difficile.
Predictive Maintenance of Wind Generators based on AI Techniques

As global warming is slowly becoming a dangerous reality, governments and private institutions are introducing policies to minimize it. Those policies have led to the development and deployment of Renewable Energy Sources (RESs), which introduces new challenges, among which the minimization of downtime and Levelised Cost of Energy (LCOE) by optimizing maintenance strategy where early detection of incipient faults is of significant intent. Hence, this is the focus of this thesis. While there are several maintenance approaches, predictive maintenance can utilize SCADA readings from large scale power plants to detect early signs of failures, which can be characterized by abnormal patterns in the measurements. There exists several approaches to detect these patterns such as model-based or hybrid techniques, but these require the detailed knowledge of the analyzed system. As SCADA system collects large amounts of data, machine learning techniques can be used to detect the underlying failure patterns and notify customers of the abnormal behaviour. In this work, a novel framework based on machine learning techniques for fault prediction of wind farm generators is developed for an actual customer. The proposed fault prognosis methodology addresses data limitation such as class imbalance and missing data, performs statistical tests on time series to test for its stationarity, selects the features with the most predictive power, and applies machine learning models to predict a fault with 1 hour horizon. The proposed techniques are tested and validated using historical data for a wind farm in Summerside, Prince Edward Island (PEI), Canada, and models are evaluated based on appropriate evaluation metrics. The results demonstrate the ability of the proposed methodology to predict wind generator failures, and the viability of the proposed methodology for optimizing preventive maintenance strategies.
Values of Character Education in the Characterizations of Dory in Disneys’ Animated Feature Finding Dory (2016)

As technology brings both positive and negative impacts on children's characters, the present study argues that watching movies online can provide access to entertainment that contains values of character education as showcased by Disney's animated feature entitled Finding Dory. Through textual analysis, the present study identified all 18 values mandated by the Indonesian Ministry of National Education in this movie, with religious, democratic, and nature loving values that are most rarely and weakly represented and the other 15 values are strongly iterated, even though not very frequently presented, implying that when this movie can be recommended for educative entertainment for children, it is necessary for parents and teachers to balance it with additional emphasize on religious and democratic values to be in line with the culture and the foundation of the nation. Keywords—character education; disney animated feature film; values; characterizations.
New distributional record of Anthrenus dorsatus Mulsant & Rey, 1868 (Coleoptera, Dermestidae), Thessaloniki, Greece

Anthrenus dorsatus Mulsant & Rey, 1868 has been recorded from North Africa, Malta, and Iberia. During a recent visit to Thessaloniki, Greece, several Anthrenus species were collected, including A. dorsatus. The previously known distribution of A. dorsatus suggested that this species was restricted to the western Mediterranean basin, possibly with a coastal bias. This record extends the known range of A. dorsatus farther east and providing more evidence of range expansion in the pimpinellae species group across Europe, possibly driven by global climate change.
Assessment of Pediatric-Focused Brief Motivational Interviewing Training of Dental Students and Pediatric Dental Residents

ASSESMENT OF PEDIATRIC-FOCUSED BRIEF MOTIVATIONAL INTERVIEWING TRAINING OF DENTAL STUDENTS AND PEDIATRIC DENTAL RESIDENTS By Victoria Onesty, DDS A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Dentistry at Virginia Commonwealth University. Virginia Commonwealth University, 2018 Thesis Advisor: Elizabeth Berry, DDS, MPH, MSD Program Director, Department of Pediatric Dentistry Purpose: To assess dental students and pediatric dental residents’ knowledge and attitudes towards motivational interviewing and evaluate the efficacy of a pediatric-focused brief motivational interviewing training program. Methods: A total of 66 participants were enrolled; 35% were third year dental students, 46% were fourth year dental students and 18% were pediatric dental residents. Participants completed three questionnaires: the first before the training, the second immediately after the training and the third approximately 3.5 months after the training. Results: A significant increase in correct responses was found for 4 of the 5 questions assessing participants’ knowledge. Participants were satisfied with the training (94%) and were interested in further training (89%). Participants believed patients and their parents would benefit from the intervention (97%). Conclusions: The pediatric-focused BMI training program is a valuable addition to pre-doctoral and residency curricula by preparing students and residents to employ this beneficial technique.
Effect of Epiretinal Membrane Peeling on Intravitreal Aflibercept Therapy Response for Polypoidal Choroidal Vasculopathy: A Case Report

DOI:10.14744/bej.2017. 92400 Beyoglu Eye J 2018; 3(1): 29-33 Case Report Kirmaci et al., ERM peeling in PCV 30 right eye and hyperfluorescence and leakage resulting from occult choroidal neovascular membrane in the left eye (Fig. 1b). Optical coherence tomography (OCT) (Spectralis; Heidelberg Engineering, Heidelberg, Germany) demonstrated a thin ERM in the right eye, and pigment epithelial detachment (PED) and subretinal fluid in the left eye (Fig. 1c). He was diagnosed with dry AMD and ERM in the right eye and neovascular AMD in the left. He was treated with intravitreal bevacizumab injections in the left eye. In July 2009, his BCVA decreased to 20/50 in the right eye. Fluorescein angiography revealed hyperfluorescence and leakage related to occult choroidal neovascularization in both eyes (Fig. 2a). OCT imaging demonstrated ERM and subretinal fluid in the right eye (Fig. 2b). He was advised to have 3 consecutive intravitreal bevacizumab injections for neovascular AMD in his right eye. Between July 2009 and August 2015, he underwent 18 bevFigure 1. (a) Fundus examination of the right and left eye revealing hard and soft drusen. (b) Fluorescein angiography shows multiple hyperfluorescent spots in the macula in the right eye and hyperfluorescence and leakage due to occult choroidal neovascular membrane in the left eye. (c) Optical coherence tomography indicating a thin epiretinal membrane in the right eye and pigment epithelial detachment with subretinal fluid in the left eye. a b
CPK: The new tool in the diagnosis of ectopic pregnancy

Ectopic or ECCYESIS remains a dramatic obstetric emergency as well as a persistent diagnostic challenge. The word is derived from a Greek work “ektopos” meaning out of place. An ectopic pregnancy occurs when a fertilized egg implants somewhere other than the main cavity of the uterus. It is still the leading cause of pregnancy related maternal deaths in the first trimester. Incidence varies between 0.25-1percent of all pregnancies. In India, it is 3.12/1000 pregnancies. Recent increase in incidence is because of assisted reproductive, sterilization, pelvic infections, and IUCD usage. However, it’s reassuring to know that despite the rising incidence, mortality and morbidity has been falling.
The Pharmacologic Rationale Supporting the Potential Use of Vepoloxamer for the Treatment of Acute Chest Syndrome in Patients with Sickle Cell Disease

Sickle Cell Disease (SCD) is an autosomal recessive disorder caused by a single amino acid substitution in the Hemoglobin (Hb) β chain which causes it to polymerize in the deoxy state. Acute Chest Syndrome (ACS) with hypoxemic respiratory failure is a common cause of death in adult SCD subjects. Recent research has revealed how multiple disease processes including inappropriate cellular adhesion, hemolysis, dysfunctional coagulation, inflammation, and ischemia and tissue injury are involved in ACS pathophysiology. In this review article, we discuss how the activity of the highly purified non-ionic amphiphilic triblock copolymer vepoloxamer in the repair of damaged membranes and hindrance of inappropriate adhesive interactions and activation events potentially has utility in ACS, by virtue of its capacity for affecting multiple aspects of the pathophysiology.
Family ties in insider trading: A closer look at family firms

We study insider trading in family firms and compare the profitability of insider purchases and sales of family insiders, i.e. insiders who are related to the founding family, to those of nonfamily insiders, i.e. insiders without such family ties. Probing a sample of 37,012 insider trades from 241 family firms, we find that family insiders generate higher abnormal returns compared to nonfamily insiders for insider purchases. For insider sales, transactions that imply significant litigation and reputational risks, the profitability is significantly lower for family insiders compared to nonfamily insiders. We also distinguish between family insiders who are actively involved in the firm and family insiders who are significant shareholders but not otherwise involved in the firm. The profitability of insider sales is significantly higher for family insiders without management involvement, who are thereby under less regulatory scrutiny, compared to insider sales by family insiders with an active management role.
An exploratory investigation of the everyday musical experiences of adults and adolescents who have a visual impairment

This thesis explores the musical lives of adults and adolescents who have a visual impairment. It considers the various facets of their musical engagement including the functions fulfilled by music, beliefs regarding the importance of music in their lives, recorded listening experiences and the use of technology, and motivations and functions relating to live music event attendance. This thesis is the first to explore the wide-ranging experiences which make up the everyday musical lives of both musicians and non-musicians who have a visual impairment. The thesis offers a systematic investigation of this topic using mixed-methods and offers alternative perspectives to research which has focused on associations between visual impairment and heightened musical ability, or the musical experiences of children with visual impairments. This thesis also considers the potential challenges and barriers experienced by individuals who have a visual impairment in relation to musical engagement. Three studies were undertaken. Qualitative data was gathered during focus groups, which informed the design of a series of semi-structured interviews. Interpretative phenomenological analysis provided the theoretical and analytical grounding for these interviews, allowing detailed exploration of the individuals’ experiences. In turn, these interviews informed the design of a survey, which collected predominantly quantitative data. Questions were designed to explore salient topics identified in the previous studies, across a larger sample. Results highlight the central role that music played in the lives of many participants, with some suggesting an association between having a visual impairment and the importance of music. This was reflected in the range of functions fulfilled by music, some of which appeared to be unique to the needs of this group. For many, technology had impacted positively on musical engagement, however, results also demonstrated potential barriers to technological engagement for music listening. Similarly, participants enjoyed a range of music-making activities and engagement with live events, but challenges were also identified in relation to these experiences. Findings have important implications for the accessibility of music to individuals who have a visual impairment, for whom low vision, or changes to their vision, may negatively impact on their musical engagement. Furthermore, insight into the experiences of attendees who have a visual impairment at musical events offers a valuable contribution to the discourse surrounding the challenge of attracting and engaging members of underrepresented groups within arts audiences. Ultimately, this thesis provides a comprehensive exploration of the musical lives of adults and adolescents who have a visual impairment and identifies how access to music and musical experiences might be improved.
A Switched-Capacitor Self-Balanced High-Gain Multilevel Inverter Employing a Single DC Source

Multilevel inverters (MLIs) with self-balanced switched-capacitors (SC) have received wide recognition for increasing power capacity and power quality of the renewable energy and high-frequency power distribution systems. This brief presents a new SC MLI structure using a reduced number of switches and a single dc source. By suitable charging-discharging patterns, the SCs are self-balanced and high voltage boosting is achieved. Comparative analysis with state-of-art MLIs in terms of the number of components, standing voltage, boosting factor, and cost factor demonstrate the merit of presented topology. Further, experimental results confirm the workability of the proposed MLI under linear, non-linear loading and dynamic test conditions using both the 50 Hz and 2.5 kHz modulation.
Three International Studies Computational Social Science Inquiries Examining Large Corpora of Natural Data

On April 20, 2015 the governments of China and Pakistan announced a series of project agreements focused on infrastructure and energy development within Pakistan. Total project funding included within the China Pakistan Economic Corridor [CPEC] has reached over 46 billion dollars, at least 35 billion of which is devoted to the energy sector. If all of these investments materialize, CPEC would equal all foreign direct investment inflows into Pakistan from 1970 to 2017. Pakistan’s energy deficits and the large energy focus of CPEC makes it important to ascertain the impact of Chinese energy project funding on the country. Through qualitative and text-as-data examination of contracts from National Electric Power Regulatory Authority (NEPRA) several conclusions regarding these contracts become evident: 1. Atypical lobbying campaigns to NEPRA accompanied CPEC. 2. CPEC funding is associated with the adoption of Chinese state-owned insurance for new energy projects. 3. CPEC funding is causally connected to concessions for Chinese actors in regards to tariffing, taxation and project implementation. These factors indicate CPEC is associated with shifts in the regulatory sovereignty of Pakistan’s energy system. This paper posits that such changes represent broader preferences in Chinese foreign lending within the One Belt One Road policy.
Employee turnover intention among Millennials: The role of psychological well-being and experienced workplace incivility

High turnover intention is a problem in the workforce today. The purpose of this study is to determine the relationship between experienced workplace incivility and psychological well-being on turnover intention. The subjects of this study were 46 millennial employees who had worked for at least three months. Data were collected with turnover intention scale, experienced workplace incivility scale, and psychological well-being scale. Partial Least Square PLS-SEM analysis was used to analyze the data. Findings indicate that experienced workplace incivility is positively related to turnover intention, while psychological well-being is negatively related to employee turnover intention. The results show that workplace incivility affects employee turnover intention higher than psychological well-being for millennial employees. Connections and communality are characteristics of millennial employees; therefore, they consider that the environment is essential. Therefore, it is essential for employers to develop a work condition that minimalizes experienced workplace incivility and improves the psychological well-being of their employees to reduce turnover intention among millennial employees.
Hubungan antara asupan energi, asupan lemak, dan obesitas pada remaja siswa-siswi SLTP di Kota Yogyakarta dan di Kabupaten Bantul

Background: The prevalence of obesity in young children and adolescents has been increasing very dramatically during the last two decades, especially in big cities. High intake of energy and fat may have contributed to obesity. Objective: To examine the relationship between energy intake, fat intake and obesity among adolescents. Method: A Case Control Study was conducted in 2003. Subjects were Junior High School students, age 10–15 years, living in the city of Jogjakarta and Bantul Regency were included in the study. Data on nutrition intake were collected by using Food Frequency Questionnaires from 140 obese and 140 non obese junior high school students. Results: On average, the energy intake among cases and controls from the city of Jogjakarta were 2818,32 ± 618,05 kcal/day and 2210,42 ± 329,81 kcal/day respectively. Whereas total average of energy intake among cases and controls from Bantul were 2416,99 ± 673,52 kcal/day and 1778,09 ± 312,03 kcal/day respectively. Obesity was significantly associated (p < 0.05) with total energy and fat intakes in both city Jogjakarta and Bantul. Conclusion: Obesity was associated with total energy and fat intakes in Junior High School Students.
Performance comparison of the convolutional neural network optimizer for photosynthetic pigments prediction on plant digital image

Determination of photosynthetic pigments in intact leaves is an essential step in the plant analysis. Along with the rapid development of digital imaging technology and artificial intelligence, now determination of plant pigments can be done in a non- destructive and real-time manner. In previous research, a prototype of the non-destructive and real-time system has been developed by utilizing the Convolutional Neural Network (CNN) model to produce predictions of three main photosynthetic pigments, i.e., chlorophyll, carotenoid, and anthocyanin. The CNN model was chosen due to its ability to handle raw digital image data without prior feature extraction. In the near future, this ability will be useful for developing analytical portable devices. Input of the system is multispectral plant digital image, and the output are predicted pigment concentration. Convolutional Neural Network performance depends on several factors, among them are data quality, algorithm tuning (weight initialization, learning rate, activation function, network topology, batches and epochs, optimization and loss) and models combination. The focus of this research is to improve the accuracy of CNN model by optimizing the selection for updating CNN architecture parameters which are optimization method and the loss function. As it is already known, there is no single optimizer can outperform for all cases. The selection for the optimizer should be made by considering the variability of the data and the nonlinearity level of the relationship patterns that exist in the data. Because the theoretical calculation is not enough to determine the best optimizer, an experiment is needed to see at firsthand the performance of optimizers that allegedly matches the characteristics of the data being analyzed. Gradient descent optimization method is well known for its ease of computing and speed of convergence on large datasets. Here, 7 gradient descent-based optimizers were compared, i.e., Stochastic Gradient Descent (SGD), Adaptive Gradient (Adagrad), Adaptive Delta (Adadelta), Root Mean Square Propagation (RMSProp), Adaptive Momentum (Adam), Adaptive Max Pooling (Adamax), and Nesterov Adaptive Momentum (Nadam). From the eksperiment result it is known that Adam is the best optimizer to improve LeNet ability in handling a digital image-pigments content relationship. However, when the resources for experimentation is limited, using Adadelta and Adamax is a wise choice to minimize risk.
Novel candidate biomarkers of origin recognition complex 1, 5 and 6 for survival surveillance in patients with hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) has high morbidity and mortality and lacks effective biomarkers for early diagnosis and survival surveillance. Origin recognition complex (ORC), consisting of ORC1-6 isoforms, was examined to assess the potential significance of ORC isoforms for HCC prognosis. Methods: Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases were used to examine differential isoform expression, stage-specific expression, calculate Pearson correlations and perform survival analysis. A human protein atlas database was utilized to evaluate the protein expression of ORCs in liver tissue. The cBioPortal database was used to assess isoform mutations and the survival significance of ORCs in HCC. Cytoscape software was employed to construct gene ontologies, metabolic pathways and gene-gene interaction networks. Results: Differential expression analysis indicated that ORC1 and ORC3-6 were highly expressed in tumor tissues in the Oncomine and GEPIA databases, while ORC2 was not. All the ORCs were showed positive and statistically significant correlations with each other (all P<0.001). ORC1-2 and ORC4-6 expressions were associated with disease stages I-IV (all P<0.05), but ORC3 was not. Survival analysis found that ORC1 and ORC4-6 expressions were associated with overall survival (OS), and ORC1-3 and ORC5-6 expression were associated with recurrence-free survival (RFS; all P<0.05). In addition, low expression of these ORC genes consistently indicated better prognosis compared with high expression. Protein expression analysis revealed that ORC1 and ORC3-6 were expressed in normal liver tissues, whereas ORC2 was not. Enrichment analysis indicated that ORCs were associated with DNA metabolic process, sequence-specific DNA binding and were involved in DNA replication, cell cycle, E2F-enabled inhibition of pre-replication complex formation and G1/S transition. Conclusions: Differentially expressed ORC1, 5 and 6 are candidate biomarkers for survival prediction and recurrence surveillance in HCC.