Miracle-dz/UniFAR-FTUs huggingface dataset:
Natural Scene Chinese Character Text Detection Method Based on Improved CTPN

Text detection in natural scenes, due to differences in size, font, line direction, lighting conditions, text weakness and image background complexity, plays an important role in the research field and remains a challenging and important topic. We have improved the CTPN text detection network and changed the Side-refinement detection box to determine the scaling mechanism. And based on the experiment, change the LSTM network to the GRU neural network. In the dataset of Chinese character text game in natural scene released by Meituan, it reached 0.78 F1-Measure, which reached 0.89 and 0.61 F1-Measure on the ICDAR 2013 and 2015 data sets respectively. Compared to the 0.88 and 0.61 F1-Measure in the CTPN article, there is a big improvement.
Pharmacognostic evaluation of an ayurvedic formulation Eladi Gutika

Eladi Gutika (EG), a traditional Ayurvedic polyherbal formulation is used as a remedy for Kasa (Cough), Svasa (Asthma), Bhrama (Vertigo), Raktapitta (Bleeding disorders), Jvara (Fever), Amvata (Rheumatism) etc. In the present work, an attempt has been made to develop pharmacognostic standards for EG. The raw materials of EG were subjected to proximate analysis prior to preparation of EG. EG was prepared using raw materials of pharmacopoeial quality. Powder microscopy of EG showed the presence of discerning anatomical characters which were present in the raw materials. Preliminary phytochemical evaluation of EG revealed the presence of carbohydrates, alkaloids, flavonoids, essential oils, glycosides and tannins. A simple, rapid, accurate and sensitive HPTLC method was developed and validated for the quantitation of piperine from EG. Method was validated as per ICH guidelines and applied for stability studies of EG stored for different storage periods at room temperature. A comparative evaluation of EG prepared in-house was carried out with three available marketed samples in terms of their respective piperine content. Acute toxicity study of EG in Albino Swiss mice revealed that it is safe at the dose of 2 g/kg body weight in animal. Evaluation of EG by these scientific methods can be used as quality control tool for the manufacturing and processing of EG. Key words: Eladi gutika, HPTLC, piperine, quality control, standardization
UNDERSTANDING THE INTENTION TO USE NETFLIX: AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL APPROACH

Developments in information and communication technologies disrupt the traditional media ecosystem. New media has led to the emergence of many digital platforms such as Netflix. Netflix has become very popular nowadays all over the world. Hence, this paper aims to reveal the determinants of intention to use Netflix based on the technology acceptance model. For this purpose, a survey of 251 respondents in Istanbul was conducted. The findings indicate that (i) self-efficacy and knowledge is positively related to perceived ease of use, (ii) knowledge and perceived ease of use is positively associated with perceived usefulness, (iii) perceived usefulness predicts attitude, (iv) attitude predicts intention to use, and (v) technology anxiety attenuates the positive effect of perceived usefulness on attitude.
Fingerprint: An AI-based method for detection of mislabeled CT studies in clinical trials

The manual step of replacing the identification number of each subject in clinical trials with the correct trial identification number is critical. Mislabeling studies may lead to excluding subjects or visits or to false study results. This article presents an automated AI-based method to detect if a pair of de-identified CT studies has been obtained from the same subject. Approach: An automated segmentation of bones in CT is performed using Organ Finder (SliceVault AB, Malmo, Sweden). Corresponding bones from the two images are aligned using Iterative closest point. The percentage of vertices in the smaller mesh with residuals below 1.5 mm is used as a measure of similarity, the anatomical match. If the anatomical match is less than 80% for the left and right hip bone and the left and right scapula, the two CT studies are classified as being obtained from different subjects. The Fingerprint method was tested on a group of 58 patients, who each had two CT studies obtained at different occasions. From the 116 CT studies 6,612 unique pairs of CT from different patients and 58 pairs from the same patient could be selected. Results: The Fingerprint method classified all 6,612 pairs of CT studies from different patients correctly (sensitivity 100%; 95% confidence interval 99-100%) and all 58 pairs of CT studies from the same patients correctly (specificity 100%; 95% confidence interval 94-100%). Conclusion: This study shows how an AI-based method can be used to accurately detect if a pair of de-identified CT studies has been obtained from two different subjects.
Oral Contraceptives and the Risk of Hereditary Ovarian Cancer

Background Women with mutations in either the BRCA1 or the BRCA2 gene have a high lifetime risk of ovarian cancer. Oral contraceptives protect against ovarian cancer in general, but it is not known whether they also protect against hereditary forms of ovarian cancer. Methods We enrolled 207 women with hereditary ovarian cancer and 161 of their sisters as controls in a case–control study. All the patients carried a pathogenic mutation in either BRCA1 (179 women) or BRCA2 (28 women). The control women were enrolled regardless of whether or not they had either mutation. Lifetime histories of oral-contraceptive use were obtained by interview or by written questionnaire and were compared between patients and control women, after adjustment for year of birth and parity. Results The adjusted odds ratio for ovarian cancer associated with any past use of oral contraceptives was 0.5 (95 percent confidence interval, 0.3 to 0.8). The risk decreased with increasing duration of use (P for trend, <0.001); use for six or.
Learning to Generalize via Self-Supervised Prediction

Author(s): Pathak, Deepak | Advisor(s): Darrell, Trevor; Efros, Alexei A. | Abstract: Generalization, i.e., the ability to adapt to novel scenarios, is the hallmark of human intelligence. While we have systems that excel at recognizing objects, cleaning floors, playing complex games and occasionally beating humans, they are incredibly specific in that they only perform the tasks they are trained for and are miserable at generalization. Could optimizing towards fixed external goals be hindering the generalization instead of aiding it? In this thesis, we present our initial efforts toward endowing artificial agents with a human-like ability to generalize in diverse scenarios. The main insight is to first allow the agent to learn general-purpose skills in a completely self-directed manner, without optimizing for any external goal.To be able to learn on its own, the claim is that an artificial agent must be embodied in the world, develop an understanding of its sensory input (e.g., image stream) and simultaneously learn to map this understanding to its motor outputs (e.g., torques) in an unsupervised manner. All these considerations lead to two fundamental questions: how to learn rich representations of the world similar to what humans learn? ; and how to re-use such a representation of past knowledge to incrementally adapt and learn more about the world similar to how humans do? We believe prediction is the key to this answer. We propose generic mechanisms that employ prediction as a self-supervisory signal in allowing the agents to learn sensory representations as well as motor control. These two abilities equip an embodied agent with a basic set of general-purpose skills which are then later repurposed to perform complex tasks.We discuss how this framework can be instantiated to develop curiosity-driven agents (virtual as well as real) that can learn to play games, learn to walk, and learn to perform real-world object manipulation without any rewards or supervision. These self-directed robotic agents, after exploring the environment, can generalize to find their way in office environments, tie knots using rope, rearrange object configuration, and compose their skills in a modular fashion.
Treatment of ST Elevation Myocardial Infarction from Fibrinolysis to Primary PCI: In Terms of Risks and Benefits

The treatment of ST elevation myocardial infarction (STEMI) has undergone significant advances over the past three decades. Current practice guidelines raise the importance of promptly restoring normal coronary blood flow and myocardial perfusion in the infarct zone after the onset of chest pain, through either pharmacologic or mechanical reperfusion strategies. Fibrinolytic therapy remains the most widely used reperfusion strategy worldwide. With the development of newer fibrinolytic agents and adjuvant potent anti-platelets therapies, this approach carries an increased risk of bleeding complications. The current research present up-date review of Systematic Review Article Khafaji and Suwaidi; CA, 3(1): 40-77, 2015; Article no.CA. 2015.005 41 the use of reperfusion strategies for the treatment of STEMI, using data through the search of MEDLINE, PubMed, EMBASE, as well as related extracts from the annual report of the American Heart Association, the American College of Cardiology, and the European Society of Cardiology. We summarized data from the available studies conducted over the past last 30 years in relation to pharmacologic reperfusion therapy in regards to risks and benefits. Conclusion: Fibrinolytic therapy remains the main reperfusion strategy used for the treatment of STMI worldwide. In the current era, there is a lack of fibrinolytic therapy trials, mainly because of increased focus in mechanical reperfusion therapies’ studies in the developed world. Clinical trials on the use of the fibrinolytics with newer platelet agents are urgently needed.
Distributed Task Scheduling in Heterogeneous Fog Networks: A Matching with Externalities Method

Fog computing shows great potential advantages over legacy cloud computing in terms of latency and efficiency. While it also poses huge challenges in task scheduling and resource allocation, which are key to reap the full benefits of fog computing. Facing the new characteristics of fog computing, distributed task scheduling and resource allocation algorithms are necessary but challenging, which will be investigated in this paper. To minimize the latency in a distributed manner, a many-to-one matching game with externalities is formulated for task scheduling problems in fog networks, considering the inter-dependency among tasks in both communication and computation. Further, a distributed algorithm called Distributed Two-sided Stable Task Scheduling (DTS2) algorithm is proposed to find a two-sided exchange-stable solution. Analytical and simulation results show that the proposed DTS2 algorithm can converge to a sub-optimal two-sided exchange-stable solution with low-complexity. Specifically, the DTS2 algorithm can greatly reduce the service delay than the one-sided stable matching. Besides, it can offer sub-optimal performance in system average delay but serve more users, compared with the optimal solution.
The Model of Mathematics E-Portfolio Assessment for Senior High School

The purpose of this study is to develop a digital model of mathematics portfolio assessment (e-portfolio) for high school. This research is a development research which consists of the following stages: a preliminary study, designing and developing model (product) and testing the model (product). The result of preliminary study is the identification of teachers’ and students’ needs showing that: high school teachers generally do not use mathematics portfolio assessment digitally yet (still conventional), but the majority of teachers agreed/ were happy if the model of mathematics portfolio assessment is developed in digital format (electronic) to ease the assessment implementation, and most of the students also agreed/were happy if the portfolio assessment is in digital format. The product of this research is an electronic portfolio assessment for high school mathematics subject, completed with the teachers’ and students’ guide. The stage of testing the product/model was done through product tryout. The results showed that the quality of the product is excellent that meets the criteria of a valid, practical and effective.
Cthers sk-TITLE-Classroom Structure and Student Participation : An Aptitude-by-Treatment Interaction Approach to Instructional

MFOI/PC04 Plus Postage. *Anxiety;-*Aptitude Treatment Interaction; Cognitive Style; Conventional Instruction; l*Deafnessi Learning Processes; *Loab of Control; Open Education; Postsecondary Education;'*Student Participation; Teacher Evaluation; *Teaching Methods The study, involving 53 students from the National Technical Institute-for the Deaf, investigated the relevande of certain aptitude-by-treatment interaction findings with normally hearing students to the instruction of hearfng impaired students. Instructional variables.investigated'were classroom structure and student participation. Student aptitudes included were mainifest anxiety and perceived locus of control. The main effects of classroom structure and student partidipation were also considered. Outcome measures included students' rating of difficulty, teacher skill, teacher affect, and overall ratings. Learning perlormance was assessed with a completion-type,examination of factual recall which Was administered immediately after the ratini of the instructional session. Among fiedings were the following: high participation resulted in higher ratingsiof teacher skill and overall ratings; high structure yielded higher Overall ratings and examination performance; Ss sufficiently external in their perceived locus of control orientation and in' low participation conditiehs gave higher ratings of teacher skill for high versus low structure.sSs low in internality perceived low structure conditions as more difficult than high structure conditions. Ss low,in anatiety. potential 'rifted the high participation, low structure condition more favorable in terms of teacher affect, teacher skill, and overall; as opposed to Ss in the low participation, low structure condition. Findings were generally consistent with previous findings with normally hearing subjects and . with the concept of trait-by-treatment task inteiactions. Appendixes . contain sample data collection instruments, and tables and graphs illustrating statistical data. (SW) *********************************************************************** Reproductioni supplied by EDRS are the best that can be made * from the original docuinent. *********************************************************************** . )
An Appraisal of the Relationship Between Available Form Of Finance and Performance of Entrepreneurs in Southwestern Nigeria

The future Economic Prosperity of Nigeria lies in the dynamism and growth of Entrepreneurial activity. In Nigeria, the importance of Entrepreneurial development cannot be undermined; its contributions are quite obvious and visible in economic transformations. Entrepreneurs need to attract Finance (money) to fully commercialize their concepts since finance has been seen as the most essential current asset for any business operation. Evidence from literature show that financing play a critical role in the success or failure of entrepreneurs. The extent to which Entrepreneurs in SMEs section access the available sources of finance in Nigeria is worthy of investigation. In line with this, the paper assessed the relationship between available form of finance and performance of entrepreneurs. The population of the study comprises of all 7474 registered Entrepreneurs that involved in Small and Medium Enterprises in Southwestern Nigeria. A random sampling technique was adopted for the study across the six states that form Southwestern Nigeria. The selection was based on their predominance in commercial activities in Nigeria. The Taro Yamane’s formula: n=N/1+N(e)2 was used to select sample size of 379 out of the total population of 7474. Primary data was collected through a designed questionnaire and administered on the selected study sample. Out of the 379copies of questionnaires sent out to the selected respondents, 298 were received and found useful. Data collected were analysed using frequency, table and percentage while inferential statistics in the form of Correlation analysis were used to test the formulated hypotheses. Evidence from findings revealed that source of Finance has positive effect on performance of Entrepreneurs. Also the result from tested hypotheses (r = 0.9394; 0.8984; 0.9197; 0.9087; 0.9226, P<0.01) & (SMEDAN @94%; SMEEIS@90%; BOI@92%; COPFS@91% and MICRFL@92%) show that relationship exists between all the identified sources of Finance and performance of Entrepreneurs with strong positive influence. The Accessibility of Finance significantly positively related with performance of Entrepreneurs that involved in SMEs.
Financial Frictions on Capital Allocation: A Transmission Mechanism of TFP Fluctuations

This paper provides a theory of financial frictions as a transmission mechanism for news shocks to drive aggregate TFP fluctuations. We show that in an economy calibrated to U.S. data, variations in financial frictions on capital allocation in response to news about future technology can generate aggregate TFP fluctuations and, thus, trigger business cycles before the actual technological change is realized. Using the COMPUSTAT dataset, we find that the relative capital productivity of financially constrained to unconstrained firms is highly countercyclical. Moreover, our VAR analysis shows that news shocks can account for a substantial fraction of the relative capital productivity fluctuations over business cycle frequencies.
Observation of Human Brainwave Signals Due to Mobile Phone Usage

There is ongoing discussion whether the cellular or mobile phone usage causes any health effects. The aim of this research is to investigate the effects of mobile phone usage on human brainwaves using electroencephalograph (EEG). The brainwave signals were analyzed using Statistical Package for the Social Sciences (SPSS). Thirty samples were interviewed prior to EEG recording. Then, the EEG recordings were performed for three sessions; before, during and after the phone calls. The findings show that alpha is dominant compared to the other frequency bands. In addition, value for the left brainwaves always higher than the right for all frequency bands which means that the samples were left brain dominant. The overall correlation between left and right brainwaves signal for all bands shows decrement for during and after phone calls, thus reducing brainwaves balancing. Therefore, there is evidence that the usage of mobile phones affect the brainwaves.
Local self-energies for V and Pd emergent from a nonlocal LDA+FLEX implementation

In the spirit of recently developed LDA+U and LDA+DMFT methods we implement a combination of density functional theory in its local density approximation (LDA) with a $k$- and $\omega -$dependent self-energy found from diagrammatic fluctuational exchange (FLEX) approximation. The active Hilbert space here is described by the correlated subset of electrons which allows to tremendously reduce the sizes of matrices needed to represent charge and spin susceptibilities. The method is perturbative in nature but accounts for both bubble and ladder diagrams and accumulates the physics of momentum resolved spin fluctuations missing in such popular approach as GW. As an application, we study correlation effects on band structures in V and Pd. The d-electron self-energies emergent from this calculation are found to be remarkably k-independent. However, when we compare our calculated electronic mass enhancements against LDA+DMFT, we find that for a long standing problem of spin fluctuations in Pd, LDA+FLEX delivers a better agreement with experiment, although this conclusion depends on a particular value of Hubbard $U$ used in the simulation. We also discuss outcomes of a recently proposed combination of k-dependent FLEX with DMFT.
Importance of regional variation in conservation planning: a rangewide example of the Greater Sage‐Grouse

We developed rangewide population and habitat models for Greater Sage-Grouse (Centrocercus urophasianus) that account for regional variation in habitat selection and relative densities of birds for use in conservation planning and risk assessments. We developed a probabilistic model of occupied breeding habitat by statistically linking habitat characteristics within 4 miles of an occupied lek using a nonlinear machine learning technique (Random Forests). Habitat characteristics used were quantified in GIS and represent standard abiotic and biotic variables related to sage-grouse biology. Statistical model fit was high (mean correctly classified = 82.0%, range = 75.4–88.0%) as were cross-validation statistics (mean = 80.9%, range = 75.1–85.8%). We also developed a spatially explicit model to quantify the relative density of breeding birds across each Greater Sage-Grouse management zone. The models demonstrate distinct clustering of relative abundance of sage-grouse populations across all management zones. On average, approximately half of the breeding population is predicted to be within 10% of the occupied range. We also found that 80% of sage-grouse populations were contained in 25–34% of the occupied range within each management zone. Our rangewide population and habitat models account for regional variation in habitat selection and the relative densities of birds, and thus, they can serve as a consistent and common currency to assess how sage-grouse habitat and populations overlap with conservation actions or threats over the entire sage-grouse range. We also quantified differences in functional habitat responses and disturbance thresholds across the Western Association of Fish and Wildlife Agencies (WAFWA) management zones using statistical relationships identified during habitat modeling. Even for a species as specialized as Greater Sage-Grouse, our results show that ecological context matters in both the strength of habitat selection (i.e., functional response curves) and response to disturbance.
Physical soil attributes of Conilon coffee (Coffea canephora) under organic and conventional management systems.

Coffea sp. is cultivated in large areas, using both conventional and organic management. However, information about the sustainability of these two management systems is still deficient. The objective of the present study was to evaluate the physical properties of soil cultivated with Conilon coffee (C. canephora) under organic and conventional management. Two areas cultivated with Conilon coffee (under organic and conventional management) and a fragment of Atlantic forest, used as a reference, were selected for the experiment. Soil granulometry, hydraulic conductivity, water retention curve, resistance to penetration, porosity, optimal hydric interval, and other physical characteristics were measured at depths of 0 to 10 and 10 to 20 cm. The data was submitted to multivariate and descriptive statistical analyses. Higher similarity was observed between the soil cultivated with Conilon coffee under organic management and the Atlantic forest soil. Soil resistance to penetration at 10, 30, 100, 500 and 1500 kPa, macro porosity, density and total porosity were the main physical properties that differentiated both management systems studied. The non-use of agricultural machinery and the addition of organic matter may be the main reasons for higher soil sustainability observed under organic management when compared with the conventional system.