Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology and molecular biology of elephant endotheliotropic herpesvirus 1 in the Asian elephant Elephas maximus

Herpesviruses are ubiquitous and are found worldwide, most animal species can be infected with multiple herpesviruses. Some cause clinical disease and others remain symptomatic throughout life. Herpesviruses are found in both captive and wild animals including Asian elephants (Elephas maximus). Elephant Endothelioltropic Herpesvirus (EEHV) has been reported in both captive and wild Asian elephants, with a number of cases being reported in North America, Europe and Asia. It has been suggested that EEHV is associated with haemorrhagic disease, which has been attributed to a number of Asian elephant deaths, affecting mostly juveniles and calves. Clinical signs can vary from weight loss, lethargy, depression, cyanosis of the tongue and sudden death. Molecular testing using qPCR has enabled the detection of individual variants of EEHV, this thesis investigates the EEHV1 variant. EEHV1 has been highlighted as the variant that is more frequently associated with deaths. This thesis includes five studies investigating different aspects of EEHV. Including, the relationship between pregnancy and EEHV viral shedding, the use of an amended human protocol for culturing endothelial cells, EEHV tissue tropism, a potential genetic or familial link between EEHV associated deaths and the detection of potential co-pathogens. The main findings from this thesis include: 1) the use of a longitudinal study investigating a potential link between the physiological stress of pregnancy and EEHV viral shedding. This study suggested there was no link between pregnancy and EEHV viral shedding however other stressors may be involved. 2) Using an amended human umbilical vein endothelial cell protocol, the culture of Asian elephant endothelial cells was successful. The cells from this study may be used in subsequent drug testing and vaccine development. 3) Quantitative PCR was used to determine EEHV1 tropism in tissues from two deaths associated with the virus. Tropism appeared to be for the heart and liver. 4) This thesis provides results from a preliminary study into a potential link between EEHV associated deaths. The data from an Asian elephant genogram shows there is the possibility of a genetic or familial link, which requires further investigation. 5) A number of tissues from deaths associated with EEHV and or death from other causes were investigated for the presence of potential co-pathogens, including the presence of encephalomyocarditis virus (EMCV), using microarray technology. The results indicated there were no co-pathogens present in the tissues. This thesis adds to the current published data, and includes the first known preliminary study investigating a potential genetic link between elephant deaths due to EEHV.
Investigation of Cryptosporidium spp. in Immunosuppressive and Immunocompetent Cases with Diarrhea by Microscopic, Serological and Molecular Methods

Objective: In this study, our aim was to compare the diagnostic methods with each other and show the presence of Cryptosporidium oocysts by using molecular, serological and microscopic methods in stool samples which were collected from immunosuppressive and immunocompetent patients with diarrhea Methods: Total 172 stool samples were collected from 80 immunosuppressive patients and 92 immunocompetent patients (between 0-94 years) with diarrhea. These stool samples were obtained from the different clinics of Ataturk University, Yakutiye Research Hospital between January 2014 and July 2014. Patient group composed of 49 persons between 0-14 years and 123 persons between 15-94 years. On the other hand, 141 patients were using tap water while 41 of them were using well water. Modified acid-fast staining, ELISA and DFA techniques were applied to detect the Cryptosporidium parasite positivity. Nested PCR method was performed to the samples which were detected positive with one of the above methods. Results: The positivity was detected in 5.8%, 4.1% and 3.5% by ELISA, DFA technique and Modified acid-fast staining method, respectively. Cryptosporidium DNA was detected in only 1.2% by PCR method. The rates of positivity were 6.3% and 5.4% in immunosuppressive and immunocompetent patients, respectively. The positivity was detected in 10.2% and 4.1% in 0-14 age group and 15-94 age group patients, respectively. On the other hand, 4.3% and 12.9% positivity rates were detected in tap water and well water users respectively. Conclusion: Our study pointed out that the investigation of Cryptosporidium oocysts as diarrhea agents in especially immunosuppressive patients, individuals in childhood and well water users may be useful. Because cryptosporidiosis is a common disease in children and immunosuppressive individuals. Additionally, we think that ELISA method can be preferred to other methods in terms of high sensitivity and ease of application.
The characteristics of bamboo image extraction as an environmentally friendly material

Bamboo is an environmentally friendly material. Various types of bamboos thrive in Indonesia. To differentiate good types of bamboos, this study uses the K-Means color segmentation method and shape measurement. Due to bamboo has fibers content and fibers adhesive which reflected the quality of bamboo. Then the research uses the morphological parameters of area and perimeter as a feature of size. The analysis is carried out on 45 bamboo images, namely 15 Wulung bamboo images, 15 Petung bamboo images and 15 Ori bamboo images. Based on the test results obtained, there are as many as 0.6 accurate images. The testing uses 15 types of bamboo imagery. The bamboo which has the largest fiber size is Wulung bamboo and then followed by Petung bamboo and the smallest is Ori bamboo.
Panel Warpage and Die Shift Simulation and Characterization of Fan-Out Panel-Level Packaging

Fan-out panel level packaging (FO-PLP) technology using mold first method and large glass carrier (550mm × 650mm) is demonstrated in this paper. Panel warpage and die shift are investigated through finite element analysis (FEA) and Taguchi statistic method. Critical factors affecting panel warpage at different processes are identified. Solution for reducing panel warpage and die shift are provided in terms of structure design and process optimization and suitable material selection. The effect of gravity on panel warpage is also simulated. Modelling gravity reduces panel warpage significantly when the panel is sitting on the table, but warpage increases when the panel is supported along edge, which arises thin panel handling issue and should be carefully considered.
Annotated list of taxonomic novelties published in “Klotzschii Herbarium Vivum Mycologicum, Editio Nova” issued by G. L. Rabenhorst between 1855 and 1858

Abstract: Braun, U. 2018: Annotated list of taxonomic novelties published in “Klotzschii Herbarium Vivum Mycologicum, Editio Nova” issued by G. L. Rabenhorst between 1855 and 1858. Schlechtendalia 35 : 1–43. New taxa and new combinations published by G. L. Rabenhorst in “Klotzschii Herbarium Vivum Mycologicum, Editio Nova” in the middle of the 19th century are listed and annotated. References, citations and the synonymy are corrected when necessary. The nomenclature of some taxa is discussed in more detail. Uredo fragariae is neotypified and reduced to synonymy with Phragmidium fragariastri. The nomenclature of the names Uredo obtusa and Phragmidium obtusum is discussed and clarified. Zusammenfassung: Braun, U. 2018: Kommentierte Liste taxonomischer Neuheiten publiziert in “Klotzschii Herbarium Vivum Mycologicum, Editio Nova“, herausgegeben von G. L. Rabenhorst zwischen 1855 und 1858. Schlechtendalia 35 : 1–43. Neue Taxa und Kombinationen publiziert von G. L. Rabenhorst in “Klotzschii Herbarium Vivum Mycologicum, Editio Nova” in der Mitte des 19. Jahrhunderts werden aufgelistet und annotiert. Referenzangaben, Zitate und die Synonymie werden korrigiert falls notwendig. Die Nomenklatur einiger Taxa wird detaillierter besprochen. Uredo fragariae wird neotypisiert und als Synonym zu Phragmidium fragariastri gestellt. Die Nomenklatur der Namen Uredo obtusa und Phragmidium obtusum wird diskutiert und geklart.
How do Women Industrial Designers Succeed in the Workplace? Getting In and Getting On

In Australia, despite comprising half of the design student population, women remain underrepresented in the design world and rarely hold senior leadership roles or win high profile design awards. This qualitative research, focussing on the workplace experience of nineteen female industrial designers, explores how these women achieve success and the facilitators and barriers. Overall, success was defined as happiness, work-life balance and enjoyment and engagement with the design process; impact was also important, with one defining success as seeing a stranger using a product she had designed. Most found the industry to be male dominated and struggled to secure their first job, explaining the challenge of learning specific software programs and then developing the confidence and courage to actively contribute design ideas. A variety of different strategies was utilised to secure their first job, contacts, mentors and role models later empowering over half to develop their own design start-ups. The decision to become an entrepreneur was a conscious choice, enabling these women to follow their design passion with more flexible, parenting-friendly hours. This qualitative research provides some nuanced insights into how these women navigated entrenched gender stereotypes and traditionally masculine workplace norms. The findings suggest the need for more radical approaches to facilitating women’s recruitment, retention, and progression.
A Meminductor Emulator Based on Flux-controlled Model Using Field Programmable Analog Array

This paper presents a scheme of pinched hysteresis loop behavior of a proposed meminductor emulator circuit at frequency of 5 kHz, 10 kHz, and 20 kHz. The mathematical model with flux-controlled concept was chosen to apply for meminductor equation and used for creating a proposed emulator. The proposed meminductor emulator was created based on the device called Field Programmable Analog Arrays (FPAAs). The AnadigmDesigner2 software was used to simulate in order to verify the performance of proposed meminductor emulator. Moreover, the variation of phase diagram of time integral of the flux and charge were computed to determine the meminductance.
Vertical distribution, nutrient concentration and seasonal changes of fine root mass in a semi-deciduous tropical dry forest and in two adjacent pastures in the Western Llanos of Venezuela

With the objective to contribute to a better understanding of ecological consequences of deforestation on the below-ground system in the Western Llanos of Venezuela, we evaluated the vertical distribution, nutrient concentration and seasonal changes of total fine root mass (FRM) (<2 mm diameter) in a semi-deciduous tropical dry forest and in 2 adjacent pastures of Cynodon nlemfuensis: a young pasture (YP, 5 years old) and an old pasture (OP, 18 years old) in the Obispo municipality, Barinas State. This evaluation included measurements at the end of the rainy season, during the dry season and during the subsequent early rainy season in 2005/2006. Highest FRM was recorded during the dry season, which probably indicates a plant water-stress response mechanism. The highest proportion (63‒88%) of FRM was concentrated in the 10–20 cm soil layer at all studied sites, probably due to a higher nutrient and moisture content at that depth. Non-significant differences (P>0.05) were observed in the total concentrations of organic carbon, nitrogen, phosphorus, calcium and magnesium in the FRM in soils supporting forest, OP and YP at the evaluated depths. Non-significant changes in the total FRM and nutrient concentrations were observed between the sampling periods and the 3 study sites. YP soils showed a slight increase in FRM that could be associated with the root growth of secondary vegetation, which is considered a weed and is periodically removed. Our results suggest that the land use change from tropical forest to pastures has not significantly affected the mass of fine roots and their carbon and nutrient concentrations. Further studies are needed to determine if these findings apply to other ecosystems.
BAM! Base Abstracted Modeling with Universal Notice Network: Fast Skill Transfer Between Mobile Manipulators

Following recent trends, it appears that robot presence within human day-to-day lives is likely to grow and become ubiquitous. As many actors are engaged in this automation effort, it is plausible that the various cultural backgrounds of these actors will result in a broad range of different robots that will nevertheless need to perform similar tasks. Due to the excessively large number of experiences samples needed to successfully train a learning-based control policy, it would be remarkably useful to be able to efficiently transfer the skills acquired by a given agent to other, structurally distinct, robots. Accordingly, the BAM (Base-Abstracted Modeling) methodology proposed in this paper is a fast transfer learning approach that relies on a clear segmentation between the task model, that is a learned policy for solving a specific task and the learned robot control policy. The evaluation on two manipulation tasks using twelve different configurations of mobile manipulators demonstrates the strong potential of this approach as the segmentation results for more robust policies than naive methods and that an efficient transfer can be done in a fraction of the initial training time.
Effective Data Generation for E-banking Transactions Using Cycle-Consistent Adversarial Networks

In the anti-fraud research, the small amount of fraudulent transactions leads to extremely class imbalanced data. This problem becomes a bottleneck of fraud detection. In this paper, we apply the Cycle-Consistent Adversarial Networks (CycleGAN) to generate data for the minority class. Based on real e-banking transaction data, generators and discriminators are designed to generate synthetic data that meets the characteristics of e-banking transactions. Synthetic samples and real samples are mixed into the training of fraud detection model, and multiple metrics are used to verify the effect. Experimental results show that the synthetic data generated by CycleGAN can effectively improve the performance of the fraud detection model.
In hospital physiotherapy treatment for Covid-19 patients – Management and clinical practice

World Health Organization has declared corona virus disease (COVID 19) a global pandemic and public health emergency, following the outbreak in Wuhan, China in December 2019. Fever, dry cough and fatigue are the main manifestations, but the main concern is cases that deteriorated to severe pneumonia and ARDS.
Kinetic investigation of N2 flowing DC discharges

Nitrogen flowing DC discharges were generated between two side-armed electrodes in a drift tube. The discharges operated at gas residence times (t) of ∼4 × 10−4 s, reduced electric fields (E/N) between 90 and 118 Td, and electron densities (ne) between 1010 and 1011 cm−3. A kinetic numerical model was elaborated to study the discharge kinetics. The model calculates the densities of 18 electronic states of nitrogen in the discharge, including the 45 vibrational levels of the N2(X1Σ+g) molecules, as functions of the gas residence time. The model is employed to describe the density profiles of neutral and excited atomic and molecular species, and nitrogen ions, along with the N2(X1Σ+g) vibrational distributions for our experimental conditions. The N2(X1Σ+g) vibrational and gas temperatures, E/N, ne, and the N2(B3Πg), N2(C3Πu), and N2+(B2Σ+u) relative densities were measured in the discharge by optical emission spectroscopy and double probes. The experimental determined gas temperature (Tg), electron density, and reduced electric field were used in the calculations of the electron energy distribution function and reaction rate constants. The vibrational temperature (Tv) and excited species densities measured were compared to the calculated values from the model. Although much attention has been devoted to the study of nitrogen DC discharges in the last few years, this work presents for the first time the N+ – N4+ and N2+(B2Σ+u) ion density distribution together with the densities of 13 atomic and molecular nitrogen states as functions of the discharge gas residence time and N2(X1Σ+g) vibrational distributions calculated for experimental conditions of low pressure DC discharges operating at short residence times.
Artificial Diet of Silkworms (Bombyx Mori) Improved With Bee Pollen - Biotechnological Approach in Global Centre of Excellence For Advanced Research in Sericulture and Promotion of Silk Production

Global Centre of Excellence for Advanced Research in Sericulture and Promotion of Silk Production (GCEARS-PSP) is an important organisation for Romanian sericulture; the main aim of the centre is the revival of Romanian sericulture, the maintenance of Bombyx mori gene pool and the development of research in this domain. The moderate continental climate in Romania does not permit the rearing of silkworms all over the year and consequently, the production of silk is related to mulberry leaves production. A dietary substituent for the mulberry leaves is therefore needed. We herein tried to develop an alternative food recipe by including different concentrations of bee pollen to the commercial artificial diet recipe and measure its impact on larvae length and weight and silk production; our results demonstrate a good adaptability of silkworms to the artificial diet, and the addition of bee pollen improves the studied parameters, but without significant differences.
Antioxidant and Antibacterial Activities of Several Fractions from Crescentia cujete L. Stem Bark Extract

This research was conducted to determine antioxidant and antibacterial activities of several fractions from Crescentia cujete L. stem bark extract. The powdered stem bark of this plant was extracted by ethanol solvent and then separated by liquid-liquid extraction. The results of this separation were n-hexane, dichloromethane, ethyl acetate, and water fractions. Antioxidant compounds were identified by Thin Layer Chromatography (TLC)–autographic assay using 0.02% 1,1-diphenyl-2-picrylhydrazyl (DPPH) solution. Antioxidant activity was analyzed using DPPH method, while antibacterial activity was evaluated using TLC-bioautographic and agar disc diffusion methods. The results showed that antioxidant compounds were found in all fractions, with the highest chemical constituents was in dichloromethane fraction. The antioxidant activity of dichloromethane fraction was the highest of all fractions with IC50 value of 95.83±19.64 µg/mL, while ethyl acetate fraction was the lowest activity with IC50 value of 174.56±21.93 µg/mL. The antibacterial assay indicated that water fraction could inhibit Escherichia coli growth with inhibition diameter zone (IDZ) of 2.36±1.11 mm. However, dichloromethane and ethyl acetate fractions could suppress Staphylococcus aureus growth with IDZs of 2.72±0.30 mm and 4.89±0.72 mm, respectively. Further analysis with TLC-bioautography on dichloromethane fraction showed three compounds with Rf values of 0.88, 0.84, and 0.78 have antibacterial activity.
Infrared imaging of the cooling fin equation

A simple experiment based on thermal imaging is devised to observe and measure, along a cooling fin in contact with a hot spot, the temperature profile determined by conductive and convective heat transport. By using a simple theoretical approach, the cooling fin equation is justified and applied to describe, in an educational framework and perspective, the experimental results. Both the experimental setup and the theoretical model discussed in this work are suited for undergraduate physics students.
A Literature Survey On Sentiment Analysis Techniques Involving Social Media And Online Platforms

: Activities that take place or are influenced as a result of decisions being made are influenced by opinions at the root level. Analysis of opinions or sentiment analysis plays a vital role in trying to make as close approximation as possible. This is an extremely important aspect given that carefully planned and executed sentiment analyses can yield better and more accurate forecasts in politics as well as in business. At the base level, sentiment analysis stems from opinions shared or expressed by individuals and users. In the Internet space that permeates almost every known sphere and area of human activity on our planet, data in millions of bytes are posted and shared by individuals on social networking platforms, blogs, product review sites, and various other web forums. The potential to harvest such information and analyse the data can yield vital insights into how products, services, political personalities, companies, governments, etc. are perceived and viewed. Sentiment Analysis can engage multiple challenges such as accuracy-related issues, binary classification problem, data sparsity problem and polarity shift. While there have been various methods that have been postulated and developed for sentiment analysis, there yet remains to be an efficient approach in extracting and producing accurate sentiment analysis on a consistent basis. Although machine learning algorithms have come a long way, with Naïve Bayes, Support Vector Machine and Maximum Entropy being the significant ones to feature prominently in research and mainstream use, sentiment classification by category involving positive and negative sentiments, is a topic of research interest in its own right. This paper presents a survey on prominent Sentiment Analysis approaches and methodologies and seeks to submit a clear evaluation report upon which grounds for further research can be based.
Attention-Based Encoder-Decoder Model for Photovoltaic Power Generation Prediction

The weather factors that affect the output of photovoltaic power generation systems have great volatility and discontinuities. Thus how to accurately predict the output of photovoltaic power generation has become a crucial issue. In this paper, we propose an attention-based Encoder-Decoder model for photovoltaic power generation. Filtered data based on maximum information coefficient is used as one of the features to reconstruct the experiment data. Then the attention mechanism is introduced to the Encoder-Decoder model, which constructed by Long Short-Term Memory (LSTM) neurons. We implement this experiment based on actual photovoltaic power plant examples and experimental results confirm the accuracy and applicability of the proposed model in predicting photovoltaic power generation
Impact of COVID-19 on Environment and Society

Environmental change is one of the biggest challenges of the 21st century. In spite of all their efforts to restore the nature during the last few decades, humans could only move a few steps forward, not up to the commendable extent. But during the last few months, consequences of the COVID-19 pandemic have successfully recovered the environment to a large extent that should definitely set positive impact on global climate change. It of course changes the daily behavior of humans and the surrounding ecological system. The present review article deals with the multiple positive effects of lockdown on environment and society including biodiversity.