Reviewerly/exHarmony huggingface dataset:
Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data

This article deals with Otobil and pumps sales estimates at fuel stations. The fuel station data used in the study consists of 2384 data in total. Depending upon these data, classification procedures were performed on fuel station sales data using classification algorithms. In the study the classification algorithms that J48, Random Forest, KStar, Logistic Regression, IBk and Naive Bayes algorithms are used to compare the sales data estimations by using a software. The results obtained show that the accuracy rates of the J48 algorithm are more successful than others in general. It understands that these sales estimations shall encourage fuel station owners and association bodies to get more gainful.
Women in leadership: Interrogating associated covert and overt Paranoia

The issue of gender and leadership, especially of women in leadership, has undoubtedly remained a crucial subject matter of discussion in contemporary politics and leadership not only in Africa, but globally too. Scholars have made several attempts to express their different shades of opinions regarding the issue based on their individual consciousness and understanding of the issue as the case may be. This has thus given rise to the prevailing scale of mixed feelings that always surround discussions about the issue; thus entrenching a strong feeling of paranoia about it. Through qualitative research approach, explored through observation and analytical literature review, and further anchored on the Functional Leadership Theory, the paper interrogates the covert and overt manifestations of the feeling of paranoia that often attend the issue of women in leadership generally. It makes a case for not only integrating women in leadership positions in every sphere of life in the society, but also in giving them a chance at the top where it really matters.&#x0D; Keywords: Gender, Leadership, Male Chauvinism, Paranoia, Patriarchy, Politics, Women
Efforts To Improve Mathematic Reasoning Abilities And Self Efficacy With E-Learning Methods Based On Google Suite And Geogebra Applications On Circle Subject Grade XI MIPA SMAK PENABUR Kota Jababeka

The physical distancing policy to prevent the spread of the Covid 19 outbreak, which was established by WHO as a global pandemic on March 12, 2020, affects various aspects of life. Distance learning is an implementation of physical distancing policies in the field of education. The purpose of this study in general is to provide an alternative interactive distance learning method, namely by using e-Learning learning methods assisted by google suite and geogebra to improve mathematical reasoning skills and self-efficacy of class XI MIPA students of SMAK PENABUR Kota Jababeka. The subjects in this study were 6 students, three male students and three female students. The results of this research indicate that use e-Learning method based on Google Suite and Geogebra Applications can improve mathematical reasoning skills and self efficacy. The average score of students' mathematical reasoning ability test of class XI MIPA in the final test of cycle I was 63.93 with the percentage of the number of students who achieved completeness criteria was 28.12%. In the final test of cycle II, the average score increased to 69.54 with the percentage was 40.63%. In the final test of cycle III, the average score of students' mathematical reasoning ability test increased to 74.33 with the percentage of the number of students who achieved completeness criteria was 67.75%. Meanwhile, the students' self-efficacy scores of class XI MIPA before using the e-Learning method assisted by the Google Suite and Geogebra applications, after which it has increased from 3.20 to 3.30.
Research on SLAM and Path Planning Based on ROS Robot

With the development of artificial intelligence technology, human-computer interaction has become the trend of robot research, navigation robots are widely used.Navigation robots autonomous navigation in an unknown environment, including perception of the environment, autonomous positioning and dynamic obstacle avoidance, etc.Among them, Simultaneous Localization and Mapping (SLAM) and path planning are prerequisites for achieving robot intelligent navigation.Aiming at problems such as low positioning accuracy and inability to accurately sense obstacles in 3D complex environments when using lidar.Firstly, based on the data characteristics of lidar and depth camera, the projection of point cloud collected by depth camera on 2D plane and lidar point cloud are fused by Bayes formula, then build an occupied grid map of the indoor complex environment.In addition, the traditional artificial potential field (APF) is easy to fall into the local optimal solution and oscillation of the potential field, and there may be collisions in the presence of dynamic obstacles.In the face of complex dynamic environments, it is difficult to plan a complete path.The velocity factor of obstacles is added to judge the movement trend of obstacles in the APF method, and a new repulsion function is introduced to overcome the local optimal trap and avoid the problem that obstacles near the target point lead to the target unreachable.Experiments show that the fusion raster map has higher precision than the single laser radar in the establishment of grid maps.In the aspect of path planning, the improved APF method can effectively solve the stochastic dynamic obstacles, and improve the navigation efficiency of robots.
Design of Intelligent Facial Recognition System using AI for Surveillance Application

Organizations presently continue to encounter significant security concerns; consequently, they require much particularly trained staff to achieve the coveted protection. This staff performs blunders that may affect the extent of security. A suggested solution to the matter mentioned above is a Face Recognition Security System, which can monitor and identify trespassers to blocked or high-security areas and assist in overcoming the margin of manual human oversight. This system is comprised of two halves: the hardware part and the software part. The hardware module incorporates a camera, while the software module includes software that uses face-detection and face-recognition algorithms. If a person infiltrates the confine in question, a set of snaps are captured by the camera and dispatched to the software to be examined/identified and equated with an existent database of trusted people. An alert is conveyed to the user if the infiltrator is not recognized.
ACE-Net: Adaptive Context Extraction Network for Medical Image Segmentation

It remains a challenging task to segment the medical images due to their diversity of structures. Although some state-of-the-art approaches have been proposed, the following two problems have not been fully explored: the redundant use of low-level features, and the lack of effective contextual modules to model long-range dependencies. In this paper, we propose a combination model based on ACE-Net of two newly proposed modules: The Joint Attention Upsample (JAU) module and Context Similarity Module (CSM). We extend skip connections by introducing an attention mechanism within the JAU module, followed by generating guidance information to weight low-level features using high-level features. We then introduce an affinity matrix into the CSM to optimize the long-range dependencies adaptively, which is based on a self-attention mechanism. Furthermore, our ACE-Net adaptively construct multi-scale contextual representations with multiple well-designed Context Similarity Modules (CSMs) which are been used in parallel in next process. Based on the evaluation on two public medical image datasets (EndoScene and RIM-ONE-R1), our network demonstrates significantly improvements of the segmentation performance of the model comparing to other similar methods, as the extraction on context information is more effectively and richer.
فاعلیة برنامج الواقع المعزز (Anatomy 4D) لتحسین التحصیل الأکادیمی وزیادة الاستقلالیة للطلاب الصم عبر الأجهزة اللوحیة فی مادة العلوم The effectiveness of the augmented reality program (anatomy 4D) to improve academic achievement and increase the independence of deaf students across tablets in the science subject

يهدف البحث الحالي إلى التعرف على فاعلية برنامج للطلاب الصم عبر الأجهزة اللوحية قائم على تقنية الواقع المعزز لتحسين التحصيل الأکاديمي وزيادة الاستقلالية في مادة العلوم بتوظيف لغة الإشارات الوصفية، وفى سبيل تحقيق ذلک تم تصميم البرنامج وفق مراحل متتالية إضافة إلى تصميم مجموعة من الأدوات تمثلت في اختبار تحصيلي لدرس الجهاز الدوري، وبطاقة تقييم المهارات الاستقلالية لأداء الطلاب الصم ، وتکونت عينة البحث من (7) من الطلاب الصم بالصف الخامس الابتدائي بمعهد الامل للصم لدرس الجهاز الدوري بمادة العلوم بالترم الثاني ،ولقد توصلت النتائج إلى تحقق صحة فرضى البحث بفاعلية تقنية الواقع المعزز لتحسين التحصيل الأکاديمي وزيادة الاستقلالية في مادة العلوم للطلاب الصم والأثر التربوي المناسب المتحقق من تطبيقه بصورة ايجابية لدى عينة الطلاب الصم في التعلم الذاتي لمادة العلوم  بلغة الإشارات الوصفيةThe current research aims to identify the effectiveness of a program for deaf students via tablets based on augmented reality technology to improve academic achievement and increase the independence in science by employing the language of descriptive signs, and in order to achieve this program was designed according to successive stages in addition to the design of a set of tools The research sample consisted of (7) deaf students in the fifth grade of primary school in Amal Institute for the Deaf to study the circulatory system in science in the second term. The results reached a hypothesis validity. Effectively research the augmented reality technology to improve academic achievement and increase the autonomy in science for deaf students and the appropriate educational impact achieved by its positive application to deaf students in self-learning of science in descriptive sign language.
PORTRAIT AND CHARACTER OF “A SPECIAL PERSON” IN THE MEMOIR PROSE OF I. V. ODOEVTSEVA

The article analyzes the artistic manner of creating a portrait and character of a particular person through the memory of him/her and private meetings with him/her, through one's personal sensory perception and the characteristic features of the era.The literary description of all material reflections of reality and their interpretation by the author-eyewitness are organically included in the memoir text.By using and comprehending a specific description, I. Odoevtseva reconstructs not only the life and work of a contemporary writer, but also an integral picture of the world.Memories and meetings push the genre boundaries of the text and turn it into a literary portrait.The creation of such an "elastic image" speaks of the writer's striving for a variety of genre forms within the framework of memoir literature, of using one's own artistic form of embodiment to express oneself.One of the typological features of I. Odoevtseva's memoir prose is a different degree of biographical and factual components, whose interaction can be seen in the creation of portraits of the Silver Age contemporaries.
Hybrid imaging-AI approach for handling critical situations in a fast-changing environment: preliminary study

The purpose of this study is to explore the possibility of using selected imaging technologies in automated video surveillance systems. The main goal of this project is to handle events that may lead to security risks, injuries, etc in various environments without relaying on more conventional sensors such as infrared photocells. For this purpose it is necessary to perform a thorough analysis of the events to be interpreted as situations of interest. It is also important to consider the hardware requirements and restrictions for developing such system. The project requires defining a hardware as well as software platform(s) and their integration into an automated tool. This paper describes the implementation of the famous Microsoft Kinect 2.0 depth sensor (well known in gaming and recreational applications) for shape/skeleton detection, and its integration into an artificial intelligence based platform utilizing selected machine learning methods. The author reveals the system implementation details, and then demonstrates its shape detection capabilities while in operation.
Estimating the Contribution of a Contaminated Wheelchair to Pathogen Spread With an Agent-Based Model

Background: Wheelchairs can contribute to healthcare-associated infection transmission due to direct contact with patients and healthcare workers and due to wide spatial movement in facilities. Objective: We utilized location data of a wheelchair to inform an agent-based model for estimating the contribution of a single contaminated patient ride in a wheelchair to subsequent environmental contamination and to estimate the potential for wheelchair disinfection between patients to disrupt this spread. Methods: The destination and origin of wheelchairs were tracked in several facility locations: specialty care services, long-term care, radiology, acute care, common spaces, domiciliary, and outpatient clinics. An agent-based model was developed in which the probability of the wheelchair traveling directly from one location to another was informed by wheelchair origin and destination data. We assumed that the first patient’s hands were contaminated with methicillin-resistant Staphylococcus aureus (MRSA). For each patient trip, each simulated patient made contact with the wheelchair arm rests and a surface in the destination location. To evaluate potential exposures of uninfected patients, all patients riding in the wheelchair after the contaminated patient were assumed to be uncontaminated. In total, 50 patient rides were simulated. The concentration and number of contaminated surfaces in each hospital area were compared in addition to the average concentration of MRSA on patient hands over time. The intervention simulation involved a disinfection of wheelchair armrests with 90%, 70%, or 50% efficacy. Results: The 3 areas that had the largest estimated number of contaminated surfaces after 50 wheelchair trips following the first patient assumed to be infected were specialty care services, long-term care, and acute care. This finding was consistent with the paths that were most frequented by the wheelchair. Without cleaning between patients, the fiftieth patient to use the wheelchair had an average MRSA concentration of 41.5 CFU/cm 2 . With cleaning between patients, assuming a 50% cleaning efficacy, average MRSA concentration on the hands for the fiftieth patient was reduced to 7.4 ×10 -14 CFU/cm 2 . Conclusions: We have demonstrated that cleaning, even with efficacies as low as 50%, may protect patients using contaminated wheelchairs from potential pathogen exposures. This study also demonstrates that tracking portable equipment can be useful not only for exposure modeling but also for predicting where the largest number of surfaces contaminated via portable equipment routes may be found. Future steps include performing a sensitivity analysis to evaluate the influence of spatial assumptions. Funding: None Disclosures: None
THE ABILITY OF THE SECOND YEAR STUDENTS OF SMK NEGERI NIBAAF IN WRITING NARRATIVE TEXT

Abstract:In this research discussed about how the students the ability writing narrative text of the personal narrative tex in the story. This study aims to answer the problems: have the students mastered to write narrative text. What aspect writing of narrative text is still difficult for them to master to write. To what level is their ability on writing narrative text categorized. In this study, the writer use descriptive qualitative method and the way to get the data, the writer use the writing test. The populations of this study is the second grand students of SMK Negeri Nibaaf in the school year 2019/2020 consisting of class XII TRRH 21 students, but only 10 students were choosen as sample of this study. The result of finding show that the second ability in composing narrative writing with the instrument given is categorized good. It is SMK Negeri Nibaaf have abilities in composing a good narrative writing. It can be seen from the averange score of content is 4,1 vocabulary is 3,6 and language use is 3,8. After analized the data and got the result, the are some conclusion are all the students have mastered narrative writing. on the basic of the averange score good, vocabulary is difficult part of aspect of narrative writing. the students level of mastery is categorized good. It is based on the data that there are 4 of 10 on this level of mastery. Therefore, the second students of SMK Negeri Nibaaf have mastered in writing.Keywords: Ability, writing, narrative.
Pemetaan Usaha Cafe Di Manahan Dengan Menggunakan Metode Naive Bayes Studi Kasus Dinas Perdagangan

There are many cafes in Manahan, Surakarta. Café can be found almost in every street and it usually visits teenagers. In several years, businesses café grow rapidly in Manahan. Nowadays there are a lot of teenagers who have a habit of hanging out in the café. The purpose of this study is to build a mapping business café in Manahan using Naïve Bayer Method. It is caused to determine a large variable which has high potential for the surrounding point. It cannot be denied that using Naïve Bayes Method can help people to determine the mapping business café. The result of this study is arranged based on the lowest value which is consisting of micro, small and medium. Keywords: Mapping, Naive Bayes, Application
IMPLEMENTASI KEBIJAKAN STANDAR NASIONAL PERPUSTAKAAN PERGURUAN TINGGI: DI PERPUSTAKAAN UNIVERSITAS NEGERI MALANG

The purpose of this study was to determine and describe the implementation of the National Standards for Higher Education Libraries (SNP-PT) that have been carried out by UM Library. The method used in this research is a combination of qualitative-quantitative, by observing and conducting interviews related to the implementation of the SNP-PT at the UM Library as well as using data in the form of numbers on the performance indicators of each component of the national standard. Achievement of collection indicators, UM Library have implemented 12 out of 14 collection standards for higher education libraries (85,7%). Achievement of facilities and infrastructure indicators, UM Library have implemented 18 of 19 standard facilities and infrastructure for higher education libraries (94,7%). Achievement of service indicators, UM Library have implemented 5 out of 5 service standards for higher education libraries (100%). Achievement of staff indicators, UM Library have implemented 8 out of 10 staff standards for higher education libraries (80%). Achievement of standard administration indicators, UM Library has implemented 6 out of 7 higher education library administration standards (85,7%). Achievement of management indicators, UM Library have implemented 12 out of 12 management standards for higher education libraries (100%). This research shows that the implementation of the SNP-PT policy has been “good” done in UM Library with an average achievement 91,01% of the standards that have been set.
Modul Identifikasi Aksi Gen F2 Tanaman Kedelai Berbasis Discovery Learning untuk Siswa SMK

&lt;pre&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; Module is an appropriate teaching materials and it is systematically designed according to a curriculum that can make students learn independently. The purpose of this research is to produce an identification module of F&lt;/pre&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;pre&gt; gene action on soybean plants based on &lt;em&gt;discovery learning&lt;/em&gt; with stages (&lt;em&gt;stimulation, problem statements, data collecting, data processing, and generalization&lt;/em&gt;). The research did on April 2019 in grade X of SMK 2 Batu. The development model used to produce the product is ADDIE. Data used in this research are quantitative and qualitative. The quantitative data are the results from the assessment given by the validator. The qualitative data are the criticisms, input and suggestions provided by media experts, material experts, and field practitioners validators. The result of the validation is an identification module for F&lt;/pre&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;pre&gt; gene action on soybean plants based on &lt;em&gt;discovery learning&lt;/em&gt; that are attractive and good to use and disseminate.&lt;/pre&gt;&lt;pre&gt; &lt;/pre&gt;&lt;strong&gt;Abstrak:&lt;em&gt; &lt;/em&gt;&lt;/strong&gt;Modul merupakan bahan ajar atau media pembelajaran dirancang dengan sistematis sesuai dengan kurikulum yang dapat membuat siswa belajar secara mandiri. Tujuan dilakukan penelitian pengembangan ini untuk menghasilkan modul identifikasi aksi gen F&lt;sub&gt;2&lt;/sub&gt; tanaman kedelai berbasis &lt;em&gt;discovery learning &lt;/em&gt;dengan tahap (&lt;em&gt;stimulation, problem statement, data collecting, data processing,&lt;/em&gt; dan &lt;em&gt;generalization&lt;/em&gt;). Penelitian dilakukan di kelas X SMK 2 Batu pada bulan April 2019. Model pengembangan ADDIE adalah model yang digunakan dalam menghasilkan produk. Data pada penelitian ini yaitu k&lt;strong&gt;u&lt;/strong&gt;antitatif berupa hasil penilaian yang diberikan oleh validator. Adapun data kualitatif berupa kritik, masukan dan saran yang diberikan oleh validator ahli media, materi, dan praktisi lapangan. Hasil validasi tersebut yaitu modul genetika berbasis &lt;em&gt;discovery learning &lt;/em&gt;yang menarik dan baik untuk digunakan dan disebarkan.
Geodata intellectual property rights policy

In this paper, the author presents intellectual property law policies related to geodata. The sole purpose of this paper is to open up this problem for further investigation and discussion. The concepts of geodata and legal interoperability have not received as much scholarly attention as they merit. Drafting one single model for geodata access is especially hard, given that geodata is produced and maintained in multifold environments. This makes it important to confront and discuss the factors influencing the licensing of geodata. On this basis the author proposes a taxonomy of the extremely diverse licenses for geodata.
The Computer Program as a Functional Whole

Sharing, downloading, and reusing software is common-place, some of which is carried out legally with open source software. When it is not legal, it is unclear how many infringements have taken place: does an infringement count for the artefact as a whole or for each source file of a computer program? To answer this question, it must first be established whether a computer program should be considered as an integral whole, a collection, or a mere set of distinct files, and why. We argue that a program is a functional whole, availing of, and combining, arguments from mereology, granularity, modularity, unity, and function to substantiate the claim. The argumentation and answer contributes to the ontology of software artefacts, may assist industry in litigation cases, and demonstrates that the notion of unifying relation is operationalisable.
OF SCIENTIFIC BIOGRAPHIES OF GEOLOGISTS: CORRESPONDENCE BETWEEN S. I. ROMANOVSKY AND V. A. SOKOLOV

The article is the first publication of the correspondence between prominent Russian historians of science Dr. Sci. S. I. Romanovsky and Dr. Sci. V. A. Sokolov covering the period 1977–1983 and dealing mainly with the principles and challenges of writing scientific biographies through the example of geologists A. P. Karpinsky, A. A. Inostrantsev, V. M. Timofeev, P. A. Borisov, P. A. Puzyrevsky, F. Yu. Levinson-Lessing, G. P. Helmersen. Special attention is paid to the priority in the discovery of the facies law of Golovkinsky – Walter – Inostrantsev. The relationship between empirical and theoretical aspects in geological science is discussed. The article is addressed to historians of science, first of all to researchers of the geology of Karelia.