Reviewerly/exHarmony huggingface dataset:
High Precision Mammography Lesion Identification From Imprecise Medical Annotations

Breast cancer screening using Mammography serves as the earliest defense against breast cancer, revealing anomalous tissue years before it can be detected through physical screening. Despite the use of high resolution radiography, the presence of densely overlapping patterns challenges the consistency of human-driven diagnosis and drives interest in leveraging state-of-art localization ability of deep convolutional neural networks (DCNN). The growing availability of digitized clinical archives enables the training of deep segmentation models, but training using the most widely available form of coarse hand-drawn annotations works against learning the precise boundary of cancerous tissue in evaluation, while producing results that are more aligned with the annotations rather than the underlying lesions. The expense of collecting high quality pixel-level data in the field of medical science makes this even more difficult. To surmount this fundamental challenge, we propose LatentCADx, a deep learning segmentation model capable of precisely annotating cancer lesions underlying hand-drawn annotations, which we procedurally obtain using joint classification training and a strict segmentation penalty. We demonstrate the capability of LatentCADx on a publicly available dataset of 2,620 Mammogram case files, where LatentCADx obtains classification ROC of 0.97, AP of 0.87, and segmentation AP of 0.75 (IOU = 0.5), giving comparable or better performance than other models. Qualitative and precision evaluation of LatentCADx annotations on validation samples reveals that LatentCADx increases the specificity of segmentations beyond that of existing models trained on hand-drawn annotations, with pixel level specificity reaching a staggering value of 0.90. It also obtains sharp boundary around lesions unlike other methods, reducing the confused pixels in the output by more than 60%.
Badania techniką sortowania kart w projektowaniu Portalu Informacyjnego Uniwersytetu Mikołaja Kopernika w Toruniu

This article presents the application of a selected card sorting tool in the study of an organization chart and labeling system. The aim of the project was to use the OptimalSort application to prepare card sorting studies in the Information Portal of the Nicolaus Copernicus University in Toruń, carried out in February 2020, during the workshops at the 2nd National Scientific Conference “WIAD20”, devoted to information architecture. After a short introduction to the card sorting technique and the application selected for its implementation, the results of research carried out in a group of 12 people are presented.
COMPILATION AS A COMPOSITION APPROACH OF CONTEMPORARY ART SCHOOL

Abstract. It is impossible to create something new in science and art, without first absorbing the experience, knowledge, skills of scientists and artists of the past generation. Even the most original, progressive, and innovative ideas are, in fact, a compilation of previous experience. The compilation technique is one of the main and effective tools of the scientific world. It is also actively used in the creative process of musicians, writers, and filmmakers. The compilation technique is a fairly common phenomenon in the scientific world and art in general, at the same time, its level can be very different, ranging from direct plagiarism to forms of synthesis, the traces of which are very difficult to detect. There are separate genres in art, based on compilation, for instance, a «remake» in cinematography, a «potpourri» in music, a «historical analog» in visual art, and an «artrunion» in literature. Meanwhile, compilation, as one of the forms of the artist's creative method, is a very "delicate" and "vulnerable" matter, sometimes causing a lot of controversy among specialists, since there is no tool that could accurately measure the degree of compilation bordering on plagiarism. If in the scientific world author indicates a list of compilation material, writing an article, then in case of an artist, we will not see it due to specifics of his work. The path of an artist, in terms of the embodiment of an artistic conception, is in many ways spontaneous, and intuitive. On this path, it is very difficult for him to isolate his authorship from the experience of other artists, and as a result, his work is a kind of conglomerate of synthesis. In our study, we consider the compilation technique mainly on the example of the methods of a children's art school work, taking into account the age of a student. At the same time, the compilation technique is a universal method of composition that can be effectively used by teachers in the creative development process. Meanwhile, the compilation technique is a frequent subject of disputes during the competitive selection of creative works and today requires a deeper analysis and public discussion.
Covid-19: estudo de modelo fracionário

Studying mathematical models of infectious diseases is important for a better understanding of the disease situation, how it can get worse and become a pandemic.With this work we intend to introduce Caputo's fractional derivative in a simple way, present a problem of existence and uniqueness for fractional PVI and exemplify it through a COVID-19 model.
A Deep Learning-Based Approach to Classification of Baby Sign Language Images

Baby Sign Language is used by hearing parents to hearing infants as a preverbal communication which reduce frustration of parents and accelerated learning in babies, increases parent-child bonding, and lets babies communicate vital information, such as if they are hurt or hungry is known as a Baby Sign Language . In the current research work, a study of various existing sign language has been carried out as literature and then after realizing that there is no dataset available for Baby Sign Language, we have created a static dataset for 311 baby signs, which were classified using a MobileNet V1, pretrained Convolution Neural Network [CNN].The focus of the paper is to analyze the effect of Gradient Descent based optimizers, Adam and its variants, Rmsprop optimizers on fine-tuned pretrained CNN model MobileNet V1 that has been trained using customized dataset. The optimizers are used to train and test on MobileNet for 100 epochs on the dataset created for 311 baby Signs. These 10 optimizers Adadelta, Adam, Adamax, SGD, Adagrad, RMSProp were compared based on their processing time.
New Student Drug Tests at College Using Principal Component Analysis Method

Drugs are substances or illegal drugs that can endanger human life. Someone who consumes it in an inappropriate way will become dependent and even result in death. The physical characteristics of people who use drugs vary, but the more obvious characteristics are on the faces of drug users such as red eyes, stiff facial muscles, dark spots, pupils susceptible to light, sunken face shape, and dullness. The lack of physical characteristics of drug users due to similarities with other diseases makes it difficult for people to recognize them initially. However, for users whose face data has been tracked by the National Narcotics Agency, the facial data is stored in the dataset. This research was conducted with the aim of building a system that can detect and recognize prospective students whether they have ever been included in drug users recorded in the National Narcotics Agency dataset or not as one of the requirements for new student admissions to universities. The system built using the Principal Component Analysis method to process and extract images of the physical characteristics of drug users through the facial image data of drug users stored in the dataset. If the detected face has similarities with the characteristics in the dataset, it is necessary to suspect that the detected face is a drug user. The results of this study are the system is able to detect the faces of drug users using the Principal Component Analysis method with an accuracy of 90% and it is hoped that with this research the system can be one solution in helping universities as an identification effort to minimize drug use so that it can be an additional identification tool which strengthens someone detected using drugs.
The Colon in English, German and Swedish: A Contrastive Corpus-Based Study

This paper compares the use of the colon in English, German, and Swedish originals and translations. The material stems from the Linnaeus University English-German-Swedish corpus (LEGS), which contains original and translated non-fiction books. Both in originals and translations, colons are the most common in German and the least common in English. Colons tend to be translated into colons, but when they are not, commas or no punctuation are the preferred alternatives. English prefers using full sentences before quotedmaterial (One sentence recurs throughout the book:), while Swedish and German often rely on elliptic clauses (Ein Politiker sagt:). A noteworthy finding is the German preference for using fragments before colons (Das Resultat:). This phenomenon is an effect of German writers and translators wanting to avoid verb-final subordinate clauses. This tendency is so strong that German translators sometimes reduce full source-text clauses to utterances consisting of fragments + colons preceding main clauses. In general, such reduced and implicit structures are rare in translations. The occurrence of such translations in ourmaterial indicates that target-language norms may sometimes be stronger than translation universals, i. e. explicitation, which refers to the tendency for translation to be more overt than their originals.
Interactive Multimedia in Inquiry Learning: Analyzing Population Dynamics for Critical Thinking

Inquiry learning is learning that requires students to be active and independent. Inquiry-based learning was developed for critical teaching and learning to students. Critical thinking skills that need to be developed in students, because it provides an understanding of a problem in a material and to be able to make decisions in everyday life. This study aimed to determine the effect of an android-based interactive multimedia-assisted inquiry learning model on students' critical thinking skills. This research is a quasi-experimental research with posttest only control group design. The research subject is SMA Brawijaya Smart School Malang, with class XI IPS 5 as the experimental class and XI IPS 6 as the control class. The instrument used is an essay test with indicators of critical thinking skills. The data analysis technique used is the independent sample t-test. The results showed that interactive multimedia-assisted inquiry learning based on Android affected essential thinking skills in the population dynamics material. This is evidenced by the average value of the experimental class with inquiry learning which has a higher value of 81,07 compared to the control class with the conventional model, which is 76,34.
The Impact of Using zSpace System as a Virtual Learning Environment in Saudi Arabia: A Case Study

The use of virtual reality (VR) has increased in many different areas, especially in the learning process. One of the most important VR tools is zSpace platform, which can be used as a virtual learning environment. This paper aims to increase the awareness of applying VR technology in Saudi Arabia through using zSpace as a virtual learning environment in all Saudi schools rather than using traditional learning methods. As a case study, we chose Al-Hamra School in Jeddah. By analyzing tests and questionnaires with students and teachers, we examined the effect of using zSpace on students’ grades, educational achievement, and learning skills. We have demonstrated that using zSpace instead of traditional learning methods in the learning process had better effect students, which is considered to be a largely positive effect in the learning environment.
Computability of Diagrammatic Theories for Normative Positions

Normative positions are sometimes illustrated in diagrams, in particular in didactic contexts. Traditional examples are the Aristotelian polygons of opposition for deontic modalities (squares, triangles, hexagons, etc.), and the Hohfeldian squares for obligative and potestative concepts. Relying on previous work, we show that Hohfeld’s framework can be used as a basis for developing several Aristotelian polygons and more complex diagrams. Then, we illustrate how logical theories of increasing strength can be built based on these diagrams, and how those theories enable us to determine in a computably efficient way whether a set of normative positions can be derived from another set of normative positions.
Prevalence of Infection and Malaria Parasite Density among Under Five Children: A Case Study of Dunukofia Rural Community in Anambra State, Nigeria

Aim: Malaria still remains an overwhelming cause of morbidity and mortality among children under five years of age, especially in sub-Saharan Africa. The study was carried out to evaluate malaria prevalence amongst children less than five years old. &#x0D; Study Design: A cross sectional study was carried out. The study adopted a retrospective descriptive survey using the hospital records and diagnostic cross sectional survey by examination of blood samples across three variables: gender, age group and mosquito net usage.&#x0D; Duration: The study was done in 2021 from the month of March to April in the rural community. &#x0D; Methodology: Parasitological diagnosis was with Plasmodium falciparum histidine-rich protein 2-based malaria Rapid Diagnostic Test (RDT) and microscopy of giemsa-stained blood smears. Demographic information was collected using questionnaire.&#x0D; Results: Three hundred (300) children aged less than five years malaria infection status was investigate, 174 (58.00% ) of them were females while 126 (42.00%. ) were males. Twenty one percent (21.00%) of the respondents are &lt;1 year, 23.33% (70) of them are between the ages of 2 to 3 years, while 55.67% (167) were 4 years and above. Current malaria prevalence was higher with microscopy (67.33%) than that of RDT (23.33%). Also, previous RDT results showed that there was a higher prevalence (73.56%) of malaria parasites in females than males (58.73%). The microscopy results showed that males had a higher prevalence (38.10%) of malaria parasites than females (12.64%). Overall gender result also revealed that males had a higher prevalence (96.83%) of malaria parasites than females (86.21%). There was a significant difference in the prevalence result with gender (P&lt;0.05). Females had higher parasite density (28.05±15.390) than males (23.22±19.171), there was no significant difference (P&gt;0.05). It further revealed that children from 4 years and above had higher intensity (29.68±17.357) while those of 1 year and below had the least (14.89±16.069). However, there was no significant difference in the malaria parasite among the age groups of patients (P&gt;0.05).&#x0D; Conclusion: Prevalence of malaria parasitaemia was still high in Dunukaofia, Anamba State, Nigeria despite various control measures and interventions put in place by WHO.
Holistic Approach in Risk and Security Management on Public Information

Public information is one of the government's efforts to provide public information regarding their performance and activities. However, even some regulations guide them, practice in public information management has not been optimal considering the information risks and threats, such as disclosing inappropriate information. For this reason, the literature study seeks to explore some efforts that can be made in information management, especially in Indonesia. This qualitative study tries to categorize and describe the management of public information in risk management and public information security in terms of technological management, process management, and human resource management. Technological management is expected to have an information system capable of providing a sense of security from threats, both malware and in building an effective system. Process management includes procedures, auditing, and a holistic approach to realizing effective public information management. Finally, human resource management emphasizes the importance of improving the quality of agents through training and leadership to act not only as a leader but also as a navigator and a translator of public information management. This study proposes a conceptual model based on those themes to minimize the effects of risks and threats on public information. Limitations and suggestions for future research are also discussed.
Investigating targeted espionage: Methods, findings, implications

Program Description-The Citizen Lab has been undertaking investigations into targeted espionage for well over a decade. This path-breaking research has uncovered widespread global harms
On Organizing a Shared Task for the Digital Humanities – Conclusions and Future Paths

Shared tasks are a work format prevalent in the natural language processing and machine learning community. This special issue continues the reporting on the shared task SANTA (Systematic Analysis of Narrative levels Through Annotation), which has the development of annotation guidelines for narrative levels as its goal. Narrative levels, also known as embedded narrations, are omnipresent in many kinds of narrations, and one of the core concepts of narratology. In this introduction, we summarize the current state, report on the second annotation round in SANTA, draw some conclusions and, finally, derive some recommendations for future shared tasks in the digital humanities.
Blockchain for IoT-Enabled Healthcare Systems

Blockchain technology is not only limited to bitcoins or securing data, but it is a ubiquitous technology used in many fields from banks, finance and supply chain management to healthcare. Blockchain has proved to be beneficial for the healthcare industry as it maintains privacy and secures healthcare data. The IoT is not the only buzzword proliferating in the technological world nowadays however, blockchain and the underlying tech behind the bitcoin cryptocurrency is also becoming more ubiquitous and mainstream in the world market. Blockchain and the IoT as the perfect pair seem to flourish together as there is an immense need for data security for the mass of data produced by IoT sensors. The integration of two technologies going hand-in-hand can make IoT objects more reliable and secure in the network. In a post-Covid-19 era uses of blockchain technology will play a vital role in keeping medical data preserved and transparent. This chapter explores the basics and potential uses of the IoT and blockchain in digital healthcare.
IMPLEMENTATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) METHOD ON RICE PRICE PREDICTION IN LUBUKLINGGAU CITY

The problem behind this research is the imbalance between the capacity offered and the capacity demanded by the community, resulting in uncontrolled rice prices, so it is necessary to predict rice price in the future to monitor the stability of rice prices in the Lubuklinggau City area. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) method was used to predict future rice prices. The sample used in this study is data on rice price in Lubuklinggau City from January 2016 to December 2020. The result of the prediction of rice price in the Lubuklinggau City area for the next five years. With the accuracy value in rice price predictions based on MSE training, numely 99,9037% and based on the MSE test that is 99,8784%. While the accuracy values of rice price predictions based on MAPE training and testing are 93,2997% and 88,2782%, respectively. For the accuracy value of rice price prediction result based on the MSE and MAPE values respectively namely 99,8935% and 92,9212%. It can be concluded that the ANFIS method is very effectively used for the process of predicting a price or value in the future
Gesture Interactive Music Playing System based on Internet of Things and its Realization Method

With the rapid development of a new generation of information technology such as cloud computing, 3D CAD technology is becoming the platform foundation for product innovation design and digital design and manufacturing of manufacturing enterprises.This paper proposes research on the 3D CAD information systems integration based on a private cloud platform.Through studying the concept, characteristics and hierarchical structure of cloud computing.According to the manufacturing information application requirements, the system will publish and deploy corresponding application services according to user needs, and effectively solve the poor integration of some current information systems.Private cloud service platform.In view of the wide variety of 3D CAD software currently on the market, in the process of integrating with the manufacturing information system, a general integration framework design based on the cloud platform is proposed and standardized cloud service interface definitions are provided to extend the functions of the integration framework.Data differences between different CADs, and XML files with good scalability and data self-describing capabilities are used as intermediate files for information interaction.Through the entire business process, the technical application of engineering drawing into PDF, browsing and signing was introduced, and the correctness of the private cloud platform and integration technology was verified.
Collaborative calculation and application of interreal and real interval relations to protect privacy

The determination of the relation between a number and a numerical interval is one of the core problems in the scientific calculation of privacy protection. The calculation of the relationship between two numbers and a numerical interval to protect privacy is also the basic problem of collaborative computing. It is widely used in data queries, location search and other fields. At present, most of the solutions are still fundamentally limited to the integer level, and there are few solutions at the real number level. To solve these problems, this paper first uses Bernoulli inequality generalization and a monotonic function property to extend the solution to the real number level and designs two new protocols based on the homomorphic encryption scheme, which can not only protect the data privacy of both parties involved in the calculation, but also extend the number domain to real numbers. In addition, this paper designs a solution to the confidential cooperative determination problem between real numbers by using the sign function and homomorphism multiplication. Theoretical analysis shows that the proposed solution is safe and efficient. Finally, some extension applications based on this protocol are given.
THE USE OF GOOLE FORM AS A LEARNING EVALUATION TOOL IN ENGLISH LESSONS DURING PANDEMIC COVID-19

The Covid-19 pandemic has an impact on all aspects of life, including the provision of educational services. For the sake of the continuity of the education process and participating in breaking the chain of the spread of the covid-19 virus, learning and implementation of SMPN 168 Jakarta has been adjusted to the social distancing policy. Teaching activities are carried out at each student's home and through online media (online). This study aims to describe the implementation of online English learning activities, describe the implementation of online English assessment activities, and determine the effectiveness of the implementation of online English learning activities carried out in class VIII SMP 168 Jakarta during the Covid-19 pandemic. Use of the Google Form application to evaluate learning outcomes of English subjects. Through online activities, the average score of students' English is 77.31, and the proportion of students who exceed the KKM is 75.15%. SMP 168 Jakarta sets a minimum mastery standard of English at 75, and the proportion of students who pass the KKM exceeds 73%, so it can be concluded that online English learning at SMP 168 Jakarta is carried out effectively.