Miracle-dz/UniFAR-FTUs huggingface dataset:
Anton Triyadi

It is reported the incidence of DVT is approximately 84 cases per 100,000 each year, with 30-50% of untreated DVT are at risk for pulmonary embolism, causing a 12% increase in mortality rate. An accurate and rapid diagnosis of DVT is needed to minimize the risk of complications and prevent unnecessary anticoagulant therapy without waiting for the results of a diagnostic examination using ultrasound. This study aimed to determine the diagnostic value of plasma D-dimer levels on Doppler ultrasound for DVT diagnosis to help clinicians to select a rapid and accurate diagnostic test for DVT diagnosis. This research was a retrospective study using data from medical records and performed at the Medical Record Installation of Dr. Wahidin Sudirohusodo Hospital, Makassar, by taking data on patients with DVT along with the results of D-dimer and Doppler ultrasound from January to December 2018. D-dimer levels were measured using an immunoturbidimetric method with a reference value of<0.5 μg/mL. A total of 33 samples were obtained with a mean of D-dimer value was higher in positive Doppler (5.29) compared to negative (2.31), although not statistically significant (p> 0.05). Also, the mean of Wells score was higher in positive Doppler (4.74) compared to negative (4.17), although not statistically significant (p> 0.05). The diagnostic values of D-dimer were as follows: sensitivity of 92.6%, specificity of 33.3%, positive predictive value of 86.2%, negative predictive value of 50.0%, and accuracy of 81.8%. D-dimer test can be used both for screening and diagnostic tests with cut-off value ≥ 2 μg/mL.
Immunohistochemical study of EGFR, HGF, c-MET, VEGF and CD34 in non small cell carcinomas of the lung

Aim: The aim of our study was the immunohistochemical investigation of the expression of Epidermal Growth Factor Receptor (EGFR), Hepatocyte Growth Factor (HGF), c-MET and Vascular Endothelial Growth Factor (VEGF) in non-small cell lung cancer (NSCLC) tissue samples. Materials and Methods: Forty seven cases of NSCLC were selected from the archive material of the First Department of Pathology of National and Kapodistrian University of Athens. The immunohistochemical staining was performed using antiEGFR/ HGF/c-MET/VEGF/ CD 34 antibodies. The immunoexpression was correlated with angiogenesis events, using the CD34 marker, and a qualitative and quantitative evaluation was performed. All data were statistically correlated with each other, so as with various clinicopathologic parameters tοο, in an attempt to draw conclusions about their prognostic significance. Results: VEGF expression was found to be higher in squamous cell carcinomas and was negatively associated with the expression of CD34 and HGF. The last two were positively correlated with higher tumor grades and disease stage. CD34 and HGF expression was found to be higher in adenocarcinomas. Lastly, CD34 and HGF expression was found to be associated with lymph node infiltration. Conclusions: The expression of the selected markers varies among different histological types of NSCLC. Tumors with a positive expression of CD34 are more aggressive (high grade). Tumors with positive expression of angiogenic factors are diagnosed at an advanced stage of the disease. 1 First Department of Pathology School of Medicine, National and Kapodistrian University of Athens, Greece 2 Aretaieion Hospital, School of Medicine, National and Kapodistrian University of Athens, Greece Corresponding Author: Maria Sakalidou 106 El.Venizelou Str. 17122, N.Smyrni Athens, Greece Tel: +3
Submission from SCUT for Blizzard Challenge 2020

In this paper, we describe the SCUT text-to-speech synthesis system for the Blizzard Challenge 2020 and the task is to build a voice from the provided Mandarin dataset. We begin with our system architecture composed of an end-to-end structure to convert acoustic features from textual sequences and a WaveRNN vocoder to restore the waveform. Then a BERT-based prosody prediction model to specify the prosodic information of the content is introduced. The text processing module is adjusted to uniformly encode both Mandarin and English texts, then a two-stage training method is utilized to build a bilingual speech synthesis system. Meanwhile, we employ forward attention and guided attention mechanisms to accelerate the model’s convergence. Finally, the reasons for our inefﬁcient performance presented in the evaluation results are discussed.
The Importance of Knowledge Transfer to Industry

The paper examines the specific knowledge universities transfer to industry, reflecting to creative industry needs. As results shows, the most asked alumni competences should be tacit knowledge and divergent thinking. Divergent thinking influence the creativity. Creativity is often defined as the ability to develop new and useful ideas, but in deep literature review, we can see few irregularities and different definitions of creativity. The paper also evaluates the importance of creativity from business environment point of view and from the creative industry perspective and creative firm owners. As point of view. Another key finding is, that to educate creative people will be one of the key competitive advantage, because mainly the ability to create and disseminate knowledge is often at the heart of the organization's competitive advantage not only in creative industry, but in transport industry as well.
The effects of pollen sources and foliar application of zinc and boron on fruit set and fruit traits of three hazelnut cultivars

The productivity of plants is generally influenced by the environment, the physiology of plant species and their management, species genetics, and their interactions. The present research aimed to assess the effects of various pollen sources (‘Boliba’, ‘Gerche’, and ‘Daviana’) on physical and chemical traits of nuts in some dominant cultivars (‘Gerde-Eshkevarat’, ‘Fertile’, and ‘Segorbe’) in Iran’s hazelnut production industry. The effects of the application of micronutrients B as borax and Zn as zinc sulfate on improving the productivity of vegetative and reproductive processes, and then the interactive effect of these factors on hazelnut and kernel yield and quality were evaluated. The results showed that there was dichogamy in all studied cultivars and all cultivars were protandrous. The blooming time of male and female flowers was different among cultivars. After the nuts were harvested, nut and kernel traits were assessed. The highest weight of nuts with green husk (7.1 g) was related to ‘Fertile’ × ‘Gerche’ × borax + zinc sulfate’ and the lowest (2.9 g) to the treatment of ‘Segorbe’ × ‘Daviana’ × borax + zinc’. The results indicated that the effect of the pollinizer parent was significant on hazelnut kernel and nut traits. The highest nut and kernel dimensions were obtained from ‘Fertile’. The local variety (‘Gerde-Eshkevarat’) produced the widest kernels. In conclusion, among the assessed cultivars, the foliar application of zinc and boron had a significant effect on the quality (oil, Zn and B) of the hazelnuts.
PREDICTORS OF DISABILITY IN HEMODIALYSIS PATIENTS

The aim of this study was to search for predictors of disability among patients treated with hemodialysis. Material and methods: Disability was assessed with self-reports of activities by Katz, Nagi and Rosow-Breslau (R-B) scale in 134 hemodialysis patients in a cross-sectional study. Sociodemographic, clinical, nutritional and dialysis factors were investigated as influencing factors. Multiple logistic regression analysis was used to identify predictors associated with disability scores. Results: Mean Katz, Nagi and R-B scores of the study group were: 4.67 ± 8.0, 9.96 ± 7.5, 3.84 ± 2.4, respectively. In the univariate analysis, women, patients who were older than 65, had diabetes, intradialytic hypotension, catheter as vascular access, sensor or loco-motor problems, carpaltunnel syndrome, cerebrovascular disease and body mass index more than 31 kg/m 2 , had at least one Katz activity impairment. In the multivariate regression model, the older age, female gender, carpal tunnel and catheter presence were the strongest independent predictive markers for Katz impairments. As for Nagi and R-B scales, presence of catheter emerged among the strongest predictors. Conclusion: Many modifiable factors contribute to disability in hemodialysis patients. Interventions are needed before start of hemodialysis in order to unable development of disability during dialysis treatment.
Synthesis of Carbon Nano Flakes from Castor Seeds as Biogenic Precursor Using Single Zone CVD Method

Castor seeds are non-edible oil rich plant product, with many medicinal properties. Carbon nano flakes being a new type carbon material were synthesized from castor seeds (as biological precursor) by single zone CVD method. During pyrolysis, Argon gas was used as a carrier gas, and temperature was maintained 800C for an hour. Scanning Electron Microscopic (SEM) images confirmed the morphology of nano sized carbon flakes along with some nano-carbon fragments while XRD peaks showed the crystallinity of the carbon nano flake and RAMAN spectra of obtained carbon nano flakes revealed the presence of defects on its surface thus confirming its amorphous nature.
UPPER BOUNDS ON THE Q-SPECTRAL RADIUS OF BOOK-FREE

In this paper, two results about the signless Laplacian spectral radius q(G) of a graph G of order n with maximum degree ∆ are proved. Let Bn = K2 + Kn denote a book, i.e., the graph Bn consists of n triangles sharing an edge. The results are the following: (1) Let 1 < k ≤ l < ∆ < n and G be a connected {Bk+1,K2,l+1}-free graph of order n with maximum degree ∆. Then q(G) ≤ 1 4 [ 3∆ + k − 2l + 1 + √ (3∆ + k − 2l + 1)2 + 16l(∆ + n− 1) ] with equality if and only if G is a strongly regular graph with parameters (∆, k, l). (2) Let s ≥ t ≥ 3, and let G be a connected Ks,t-free graph of order n (n ≥ s + t). Then q(G) ≤ n + (s− t + 1)1/tn1−1/t + (t− 1)(n− 1)1−3/t + t− 3.
Vivid signatures of water on Mars surface strengthen the debate of microbial life

Many students opt for science after their 10th standard examination and many of them study chemistry later. In case they fail to get into a professional course, they end up graduating in chemistry and even continue for their Masters and Doctoral degrees. How safe are the laboratories provided by the schools, colleges, Universities and research organizations (government and private) in India? One should not be surprised if the laboratories are located in dilapidated buildings, with paints peeling off and growth of fungi on the walls. A peep into many chemical laboratories would reveal any or all of the following:
Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions

Enabling operations of unmanned aerial vehicles (UAVs) in low-altitude airspace, As widespread applications emerge, the need of risk assessment becomes increasingly important for UAV flights beyond visual line-of-sight, especially subjected to off-nominal conditions introduced by component failures, degraded controllability or environmental disturbances such as wind gusts in an urban canyon. From a safety perspective, collision with obstacles can be detrimental not only to the vehicle and payload, but also to the structure and people on ground. Although it is safe to assume that approved UAVs would be equipped with collision avoidance systems, . In this paper, a framework is presented for computing the risk of collision with obstacle based on a UAV's predicted trajectory, . The conditional probability of trajectory deviation is generated using a Bayesian Belief Network (BBN) based on on-board sensor measurements. Further, a kinematic 3-DOF model is implemented to compute deviation in UAV's trajectory subjected to one case study of off-nominal condition i.e. wind gusts. Finally, the integrated risk factor is demonstrated on real data from experimental flights of an octocopter at NASA Langley Research Center, in presence of simulated obstacles and wind conditions. The proposed approach would enable risk-informed decision making process for timely mitigation of current and future unsafe events.
Forecast skill of regional ensemble system compared to the higher resolution deterministic model

⎯ The 11 km regional ensemble ALADIN-LAEF (Aire Limitée Adaption Dynamique Développment InterNational – Limited Area Ensemble Forecasting) is evaluated by comparison with the 5 km deterministic model ALARO (ALADIN and AROME combined model – Application of Research to Operations at Mesoscale), in order to investigate the advantages and disadvantages facing short-range ensemble and high-resolution forecasts. To make rational decisions about the benefits or challenges of both systems, the forecast skill was measured through probabilistic and deterministic approaches over a 2-month period from late spring to summer season of 2013. The verification uses observations from 1219 SYNOP stations and 1 km × 1 km precipitation analysis from INCA (Integrated Nowcasting through Comprehensive Analysis) nowcasting system. The evaluation was carried out for three essential meteorological variables: 2 m temperature, 10 m wind speed, and 6-hour cumulated precipitation. From the probabilistic point of view, the results show that ALADIN-LAEF outperforms ALARO-LAGGED ensemble system, being statistically more reliable. From the deterministic point of view, the high-resolution deterministic system simulates better the precipitation forecast structure with respect to the observations. Compared to the ensemble system, the deterministic system cannot provide guidance concerning the forecast uncertainties or probabilities, making the ensemble products a powerful tool for risk assessment and decision making. Key-words: ensemble forecast, numerical models, time-lagged, ALADIN-LAEF, ALARO
Improving Initial Population for Genetic Algorithm using the Multi Linear Regression Based Technique

Genetic algorithms (GAs) are powerful heuristic search techniques that are used successfully to solve problems for many different applications. Seeding the initial population is considered as the first step of the GAs. In this work, a new method is proposed, for the initial population seeding called the Multi Linear Regression Based Technique (MLRBT). That method divides a given large scale TSP problem into smaller sub-problems and the technique works frequently until the sub-problem size is very small, four cities or less. Experiments were carried out using the well-known Travelling Salesman Problem (TSP) instances and they showed promising results in improving the GAs' performance to solve the TSP.
Advanced Methods for Isolating from and Confirming
 Campylobacter spp. in Milk and Dairy Products:
 Review

Campylobacter spp. are a type of microaerophilic bacteria that cause human foodborne illnesses worldwide. Among the various types of Campylobacter spp. , Campylobacter jejuni and Campylobacter coli account for 90% of foodborne campylobacteriosis. Generally, poultry meats are known to be a primary cause of campylobacteriosis; however, several other types of foods have also been reported to cause campylobacteriosis. Particularly, raw milk has been directly linked to Campylobacter infections among many foodborne illnesses, and cases of campylobacteriosis caused because of the ingestion of unpasteurized raw milk have been recorded worldwide. This review reports (1) general information, history, and nomenclature of Campylobacter spp. , (2) epidemiology of Campylobacter spp. , (3) detection of Campylobacter spp. from foods including milk and dairy products, and (4) review of methods for controlling the growth Campylobacter spp.
Analytical evaluation of lesson strategies focusing on the summary of power plants in electric power technology subjects for technical high oschools

In the subject of electric power technology for electrical high school second year students in technical high schools, we think it is difficult to learn the contents of power generation with textbooks and limited class hours. In particular, learning the content of textbooks on hydropower, thermal power, nuclear power generation, and the content of power transmission would be extremely difficult. Therefore, in this study, a questionnaire on power generation and transmission was conducted before the class began. In order to examine the knowledge and understanding level of students who learned only with textbooks, we conducted a questionnaire in a free description format. After the class, the Internet was also used to conduct a questionnaire in the form of free description on the results of learning about the power generation and power transmission using the Internet. Rather than studying only with textbooks, it was reported that students were able to understand many more photos and videos using the Internet. An evaluation analysis was performed using a co-occurrence network. In the cooccurrence network, a stronger co-occurrence relationship is drawn with a thicker line, and a larger number of appearances are represented by a larger circle. The co-occurrence relationship that can be seen only in the second year of the electrical department is called “characteristic co-occurrence relationship”. This is a report of many characteristic words by students in the second year of electrical studies. Keywords— Text mining, Co-occurrence, Network, Electric Power, Technology. Kanyuma Jitjumnong Department of Electrical Technology Education, KMUTT, THAILAND
RAPPORT The Busy Period in the Fluid Queue

Consider a uid queue fed by N on/o sources. It is assumed that the silence periods of the sources are exponentially distributed, whereas the activity periods are generally distributed. The in ow rate of each source, when active, is at least as large as the out ow rate of the bu er. We make two contributions to the performance analysis of this model. Firstly, we determine the Laplace-Stieltjes transforms of the distributions of the busy periods that start with an active period of source i, i = 1; : : : ; N , as the unique solution in [0; 1] of a set of N equations. Thus we also nd the Laplace-Stieltjes transform of the distribution of an arbitrary busy period. Secondly, we relate the tail behaviour of the busy period distributions to the tail behaviour of the activity period distributions. We show that the tails of all busy period distributions are regularly varying of index i the heaviest of the tails of the activity period distributions are regularly varying of index . We provide explicit equivalents of the former in terms of the latter, which show that the contribution of the sources with lighter associated tails is equivalent to a simple reduction of the out ow rate. These results have implications for the performance analysis of networks of uid queues. 1991 Mathematics Subject Classi cation: 60K25, 68M20, 90B22.
FACTORS THAT AFFECT THE MANAGER'S PERCEPTION ABOUT THE FACTORS THAT INFLUENCE COMPANY PERFORMANCE (Empirical Study on State-owned enterprises of Indonesia Companies in the Construction Sector in Medan City) Muliadi,

This research aims to know and analyze about Factors That Influence Manager Perception Of Factors Affecting Company Performance (Empirical Study On State Enterprise Of Construction Sector In Medan). This type of research is causal research. The population in this study is State-Owned Enterprise Sector Construction In Medan. The sampling technique used was Purposive sampling with 102 respondents. This research was conducted by the method of spreading the questionnaire to each StateOwned Enterprise of Construction Sector in Medan. Testing of research data using multiple linear regression analysis. The results of this study indicate that the overall variables studied are: Perceptions of Environmental Uncertainty, Managerial Competence, Extent of Coverage Area, Information Technology and Openness of Society in Receiving Development significantly and positively influence on the Performance of State-Owned Enterprise Construction Sector contained in Medan.
2003 PCEE Paper Template

Unstable bedrock landforms can be regarded as natural low resolution seismoscopes that have been in operation for time periods well beyond those of historical records. This class of landform includes unstable “unravelling” cliff faces, buttresses, pinnacles (“unstable outcrops”), and precariously-balanced rocks (PBRs). By virtue of the instability and prehistoric age of these landforms, they have the ability to provide information on non-exceedance of ground motions for long return periods (10 4 -10 5 years), and therefore have potential for testing probabilistic seismic hazard (PSH) models. A recent study carried out near the Yucca Mountain (YM) proposed high level nuclear waste repository in Nevada shows unstable outcrops to have survived 24-40kyrs of regional earthquakes. This is inconsistent with ground motion predictions from PSH models developed for YM a decade ago, but consistent with a newer and greatly simplified PSH model that incorporates the state-of-the-art next generation attenuation (NGA) models. A parallel study in the more humid New Zealand environment shows PBRs to generally be 10 3 -10 4 years old, considerably younger than their desert counterparts, and therefore more limiting as a criterion for testing long-return-period ground motions. In light of these results, future New Zealand-based efforts will focus on studying unstable outcrops near major active plate boundary faults (e.g. Alpine Fault), where relatively young landforms will have been subjected to multiple near-field earthquakes.
Antibacterial and Wound Healing Activity of Fractions of Kamboja (Plumeria acuminata Ait) Leaves Ethanol Extract on Staphylococcus aureus Infected Rabbit Skin

Kamboja (Plumeria acuminata Ait.) plant is traditional medicine used as medication for abscess and yaws. Flavonoid is a component of chemical compound in kamboja leaves that supposed to have antibacterial activity. The aim of the experiment was to find out the ability of kamboja leaves fractions creams in healing the infection of Staphylococcus aureus on rabbit skin and to know the most effective concentration. Kamboja leaves were extracted by soxhletation method using 96% ethanol solvent, and then the obtained extract was fractionated using n-hexane, ethyl acetate and 70% ethanol solvents. The antibacterial activities of the three fractions were tested in the form of creams by in vivo method. It was found that ethyl acetate fraction was the most effective, and then various doses were conducted with concentrations of 15%, 20%, and 25% using test animals infected by Staphylococcus aureus.The result of the experiment showed that ethyl acetate fraction had the best ability compared with n-hexane and ethanol 70% fractions. Ethyl acetate fraction cream concentration of 15%, 20%, and 25% could heal the infection for 11.40, 10.60 and 9.40 days, respectivelly.
Geo-engineering by cloud seeding: influence on sea-ice & climate system

GCM computations using a fully coupled ocean atmosphere model indicate that increasing cloud reflectivity by seeding maritime boundary layer clouds with particles made from seawater may compensate for some of the effects on climate of increasing greenhouse gas concentrations. The chosen seeding strategy (one of many possible scenarios) can restore global averages of temperature, precipitation and sea ice to present day values, but not simultaneously. The response varies nonlinearly with extent of the seeding, and geoengineering generates local changes to important climatic features. The global tradeoffs of restoring ice cover and cooling the planet must be assessed alongside the local changes to climate features.