Reviewerly/exHarmony huggingface dataset:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos

Background and Objective: Object detection is a primary research interest in computer vision. Sperm-cell detection in a densely populated bull semen microscopic observation video presents challenges such as partial occlusion, vast number of objects in a single video frame, tiny size of the object, artifacts, low contrast, and blurry objects because of the rapid movement of the sperm cells. This study proposes an architecture, called DeepSperm, that solves the aforementioned challenges and is more accurate and faster than state-of-the-art architectures. Methods: In the proposed architecture, we use only one detection layer, which is specific for small object detection. For handling overfitting and increasing accuracy, we set a higher network resolution, use a dropout layer, and perform data augmentation on hue, saturation, and exposure. Several hyper-parameters are tuned to achieve better performance. We compare our proposed method with those of a conventional image processing-based object-detection method, you only look once (YOLOv3), and mask region-based convolutional neural network (Mask R-CNN). Results: In our experiment, we achieve 86.91 mAP on the test dataset and a processing speed of 50.3 fps. In comparison with YOLOv3, we achieve an increase of 16.66 mAP point, 3.26 x faster on testing, and 1.4 x faster on training with a small training dataset, which contains 40 video frames. The weights file size was also reduced significantly, with 16.94 x smaller than that of YOLOv3. Moreover, it requires 1.3 x less graphical processing unit (GPU) memory than YOLOv3. Conclusions: This study proposes DeepSperm, which is a simple, effective, and efficient architecture with its hyper-parameters and configuration to detect bull sperm cells robustly in real time. In our experiment, we surpass the state of the art in terms of accuracy, speed, and resource needs.
Improving The System Of It-Specialists Training In The Digital Economy Conditions

The digital economy is included in the list of the main directions of strategic development of Russia. IT specialists are the main driving force of this strategy. Existing training systems do not fully solve the problem of their training. Therefore, it is necessary to improve the pedagogical system of introducing students. The following criteria were selected as the main criteria for improving the IT training system: сompliance of the graduate level with the required competencies; сriterion for the maximum development of the student's abilities, regardless of his initial level. IT specials should perform two main types of professional activity – designing systems based on computer technology and maintenance and use of software and automated systems. It should be noted that when teaching students these types of activities, the process of servicing software or technical systems is not difficult for students, designing simple systems causes students big problems because it requires a large amount of additional research on the design object. The author’s technologies for the development of research abilities are designed in such a way that in the learning process the student moves from the reproductive to the productive level: first, the activity is perceived as a research one, then, after accumulating knowledge and skills, it becomes an everyday tool, that is, perceived as a reproductive activity. Designed work programs for IT specialists training and complexes of developmental tasks with correction for changing IT have been used for many years in various universities in Samara.
CinemAfriq "The Train of Salt and Sugar" posters

These posters were created to promote a showing of the The Train of Salt and Sugar through CinemAfrique at BU Libraries.
Description Text Writing Skills Enhancement Using Guided Writing Procedure Class X2 Smk Negeri 1 Batipuh Kabupaten Tanah Datar

Learning Indonesian basically aims to enhance students' skills to use language as a communication tool, either orally or in writing. Objectives to be achieved from this paper is to describe the Writing Skills Improvement Method Using Text Description Procedure Writing Guided Graders X2 SMK Negeri 1 Tanah Datar Batipuh,&#x0D; This type of research is classroom action research. The research was conducted in the classroom X2 SMK Negeri 1 Tanah Datar Batipuh, The subjects were students of classX2 SMK Negeri 1 Tanah Datar Batipuh the number of students 23 to 10 women and 13 men, Which is listed on the first semestar academic year 2018/2019. The research data was collected through observation, performance, discussion and documentation. The data obtained in the study using qualitative data analysis model.&#x0D; The results of the study illustrate that; 1) Learning to write descriptions have been implemented in accordance with the plan contained in the RPP assessment form. 2) Learning to write descriptions have been conducted usingMethod Writing Guided Procedure. In the implementation of student learning has been included in full in the process pemebelajaran. 3) a description of the student writing skills to useMethod Guided Writing Procedure improve. This is evident from the student's skills, where the skills of students in the third cycle is higher than on the skills of writing a description on the second cycle.&#x0D; &#x0D; Keywords: Description Writing Skills, Writing Guided Procedure
Entropy as an Existential Problem in "The Sun of the Dead" by I.S. Shmelev

The purpose of the research is to highlight the problem of being and non-being in the work of I.S. Shmelev based on the material of his epic The Sun of the Dead, which rests upon the writer's memoirs about repressions and famine in the Crimea in the early 1920s. The goal is achieved by conducting the analysis of ontological and existential units of philosophy which develop in the text through a comparison of two heroes who pass spiritual and physical tests in a social catastrophe. The will to live and the idea of entropy prevail in the work. This fact determines the novelty of the main aspect of the research. Suicide is presented as an expression of a false interpretation of a suicider’s will. The manifestation of energy is presented by the author through his attitude to things that make one’s life and construct one’s being. The conclusion about life-giving power of Christian axiology is made. Philosophical context of the story’s interpretation is based on the works of N.&nbsp;Abbagnano, M.&nbsp;Blanchot, N.&nbsp;Lossky, M.&nbsp;Montaigne, F.&nbsp;Nietzsche, V.&nbsp;Toporov and others.
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data

Domain-specific image collections present potential value in various areas of science and business but are often not curated nor have any way to readily extract relevant content. To employ contemporary supervised image analysis methods on such image data, they must first be cleaned and organized, and then manually labeled for the nomenclature employed in the specific domain, which is a time consuming and expensive endeavor. To address this issue, we designed and implemented the Plud system. Plud provides an iterative semi-supervised workflow to minimize the effort spent by an expert and handles realistic large collections of images. We believe it can support labeling datasets regardless of their size and type. Plud is an iterative sequence of unsupervised clustering, human assistance, and supervised classification. With each iteration 1) the labeled dataset grows, 2) the generality of the classification method and its accuracy increases, and 3) manual effort is reduced. We evaluated the effectiveness of our system, by applying it on over a million images documenting human decomposition. In our experiment comparing manual labeling with labeling conducted with the support of Plud, we found that it reduces the time needed to label data and produces highly accurate models for this new domain.
Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia

&lt;p&gt;Pengamatan citra Pap Smear merupakan langkah yang sangat penting dalam mendiagnosis awal terhadap gangguan servik. Pengamatan tersebut membutuhkan sumber daya yang besar. Dalam hal ini machine learning dapat mengatasi masalah tersebut. Akan tetapi, keakuratan machine learning bergantung pada fitur yang digunakan. Hanya fitur relevan dan diskriminatif yang mampu memberikan hasil klasifikasi akurat. Pada penelitian ini menggabungkan &lt;em&gt;Fisher Score&lt;/em&gt; dan &lt;em&gt;Principal Component Analysis &lt;/em&gt;(PCA). Pertama Fisher Score memilih fitur relevan berdasarkan perangkingan. Langkah selanjutnya PCA mentransformasikan kandidat fitur menjadi dataset baru yang tidak saling berkorelasi. Metode jaringan syaraf tiruan &lt;em&gt;Backpropagation&lt;/em&gt; digunakan untuk mengevaluasi performa kombinasi Fisher Score dan PCA. Model dievaluasi dengan metode 5 &lt;em&gt;fold cross validation&lt;/em&gt;. Selain itu kombinasi ini dibandingkan dengan model fitur asli dan model fitur hasil Fscore. Hasil percobaan menunjukkan kombinasi fisher score dan PCA menghasilkan performa terbaik (akurasi 0.964±0.006, Sensitivity 0.990±0.005 dan Specificity 0.889±0.009). Dari segi waktu komputasi, kombinasi Fisher Score dan PCA membutuhkan waktu relative cepat. Penelitian ini membuktikan bahwa penggunaan feature selection dan feature extraction mampu meningkatkan kinerja klasifikasi dengan waktu yang relative singkat.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p class="Judul2"&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p class="Judul2"&gt; &lt;/p&gt;&lt;p class="Abstract"&gt;&lt;em&gt;Examination Pap Smear images is an important step to early diagnose cervix dysplasia. It needs a lot of resources. In this case, Machine Learning can solve this problem. However, Machine learning depends on the features used. Only relevant and discriminant features can provide an accurate classification result. In this work, combining feature selection Fisher Score (FScore) and Principal Component Analysis (PCA) is applied. First, FScore selects relevant features based on rangking score. And then PCA transforms candidate features into a new uncorrelated dataset. Artificial Neural Network Backpropagation used to evaluate performance combination FScore PCA. The model evaluated with 5 fold cross validation. The other hand, this combination compared with original features model and FScore model. Experimental result shows the combination of Fscore PCA produced the best performance (Accuracy 0.964±0.006, Sensitivity 0.990±0.005 and Specificity 0.889±0.009). In term of computational time, this combination needed a reasonable time. In this work, it was proved that applying feature selection and feature extraction could improve performance classification with a promising time.&lt;/em&gt;&lt;/p&gt;
EFEK SUMUR RESAPAN TERHADAP PENGURANGAN VOLUME LIMPASAN PERMUKAAN

Changes in land use not only affect the hydrological component, but also have an impact on the environmental sector, which include increasing the frequency of flooding and inundation, decreasing the availability of subsurface water, and drying up community wells. Various attempts have been made in efforts to reduce flooding and maintain sources of subsurface water, for example by applying infiltration well technology in each settlement. Infiltration wells will be able to function to re-enter rainwater falling on the pavement and can reduce flooding and inundation. This research is conducted with an empirical model that is connecting the amount of runoff that occurs after the availability of recharge wells. The purpose of this research is to get the ability of infiltration wells to reduce the occurrence of flooding in an area. The data used in the analysis are rain data and soil texture data. Based on the analysis results obtained dimensions of 0.8 m, 1 m and 1.2 m infiltration wells with a depth of 2 m. The depth of ground water level is 1.94 m, the permeability value (k) of land is 0.24 x 10ˉ⁴ m / sec. From each of the infiltration well diameters, it can reduce the successive runoff namely; infiltration wells are 0.8 m in diameter from runoff of 0.479 m³ / sec and after an infiltration well is reduced to 0.057m³ / sec, infiltration wells diameter 1.2 from runoff is 0.401 m³ / sec and after an infiltration well is reduced to 0.0475 m / second, and in the diater infiltration well 2 m from runoff of 0.377 m³ / sec and after the infiltration well is reduced to 0.0571 m / sec.
Graphs and codes produced by a new method for dividing a natural number by two

In this paper, we introduce a new method which we call it MZ-method, for dividing a natural number $x$ by two and then we use graph as a model to show MZ-algorithm. Applying (recursively) $k$-times of the MZ-method for the number $x$, produces a graph with unique structure that is denoted by $G_k(x)$. We investigate the structure of $G_k(x)$. Also from the natural number $x$ and graph $G_k(x)$ we produce codes which are important and applicable in the information security and cryptography.
SINGLE SIGN ON USING CLOUD COMPUTING

Single sign on implementation is a cloud venture or a system that enables clients and employees of an organization to seamlessly access various applications without re-entering the credentials. A custom login page and landing page are part of this proposed work, where a user is remembered. Single sign on system uses AWS cloud services and OKTA to provide seamless navigation among various websites. Token plays a crucial rule in this system. Single sign on system involves authentication process as well as access control of multiple software systems, that enables a client to get to numerous applications with one lot of login certifications. Cloud services are a new emerging trend in the IT industry and more and more companies are opting to shift their infrastructure on cloud as well as they can utilize various other software services offered by cloud service providers. Cloud services are relatively cheaper than maintaining an on premise infrastructure and provide additional features. The whole work will be deployed in an Amazon EC2 instance.
Penggunaan Metode Pembelajaran Drill terhadap Perkembangan Artikulasi Anak Tunarungu

This study was used to improve the articulation ability of deaf children of grade 2 elementary school students at SDN Kebonsari 5 Jember through the Drill learning method. The subject of this research supports 6 people, namely 3 male students and 3 female students. Data collection techniques using collection techniques and tests of articulation skills. Analysis of the data used is a comparative technique that compares the results of pre-test and post test. The process of enhancing the ability of articulation is carried out from the pre-test to determine the students' initial abilities. The pre-test shows that the subject has not yet reached the specified KKM, which is 60. Then training is carried out using the Drill method or repetition. After a number of training sessions were carried out. Post test results show students who have increased grades. From the initial number 50 and below, it is now 60 and above. Furthermore, considering the results of Zh (2.05) is greater than the value of Z table 5% (1.96), or Zh (2.05)&gt; Z table (1.96), then Ho is rejected, which means it needs to be added to learning methods dirll towards the development of articulation of deaf children. Conclusion, that is the significance of the significant importance between Bor learning methods on the development of articulation of deaf children.&#x0D; Keywords: Drill, Articulation, Deaf Method
Geo Security using GPT Cryptosystem

This paper describes an implementation of location-based encryption using a public key cryptosystem based on the rank error correcting codes.In any code based cryptosystem, public and private keys are in the form of matrices based over the finite field.This work proposes an algorithm for calculating public and private key matrices based on the geographic location of the intended receiver.The main idea is to calculate a location specific parity check matrix and then corresponding public key.Data is encrypted using public key.Some information about the parity check matrix along with other private keys are sent to receiver as cipher-text, encrypted with another instance of the public or GPT cryptosystem using public key of the receiver.The proposed scheme also introduces a method of calculating different parity check matrix for each user.
Impact of Human Capital (Teamwork, Reward Systems, and Planning) on Organizational Innovation

In case of innovation, it is defined as anything new with respect to processes, methods, products and services. Innovation is important for the fulfilling of the needs of individuals in a specific market. These needs are addressed by means of improvement of the present technologies and methodologies. Increasing globalization along with rapidly changing technology and the continuous customer demand for better services and products further demonstrates the urgent need for innovation. The main objective of this study is to examine the impact of human capital in term of teamwork, reward system, and planning on the organizational innovation within the public sector in the United Arab Emirates. This study has adopted questionnaires to collect data. PLS (Partial Least Squares) SEM-VB (Structural Equation Modelling-Variance Based) was employed to assess the research model by utilizing the software SmartPLS 3.0. Results reveals that human capital have a significant impact on the organizational innovation. Variance explained by this study was 34%. The results of the current study have the potential to give further insights into innovation of organizations strategies.
PENGEMBANGAN BAHAN AJAR TEKS DESKRIPSI DENGAN MATERI NOVEL EDENSOR UNTUK SISWA KELAS VII SMP

Abstrak Penelitian dan pengembangan ini bertujuan menghasilkan bahan ajar teks deskripsi berbasiskan novel Edensor karya Andrea Hirata. Penelitian ini menggunakan teknik analisis kuantitatif dan kualitatif.Teknik analisis kuantitatif digunakan untuk menganalisis data berupa angka yang diperoleh dari angket tertutup yang diisi oleh validator dan siswa.Teknik analisis kualitatif digunakan untuk menganalisis data verbal yang diperoleh dari komentar dan saran dari validator dan siswa.Hasil dari penelitian dan pengembangan ini adalah produk bahan ajar berbasis novel Edensor yang memuat empat kompetensi dasar dan petunjuk penggunaan bahan ajar. Kata Kunci : Bahan Ajar, Teks Deskripsi, Novel Edensor Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0cm;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:Calibri,sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Times New Roman;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Times New Roman;mso-bidi-theme-font:minor-bidi;}
Career Management Of Higher Education Teaching Personnel

The article analyzes the career management mechanism of university teachers in modernization of higher education. These days there is a transformation of principles in managing professional opportunities of person in an organization. The system of formation and realization of individual career strategies of university teachers is also changing. In recent years the system of preparing and attestation of academic personnel has noticeably complicated, professional demands to university teachers has become more stringent, in particular, in case of publication activity indicators. Competition on the intra-university labor market has increased. New approaches towards development of career and vocational qualification plans for higher-education teaching personnel are forming in this context. On basis of the analysis of official statistics and the findings of opinion poll among university teachers the general individual career strategies of higher-education teaching personnel have been highlighted. The principal strategy is oriented to the development of scientific potential, the defense of PhD thesis. Career management of higher education teaching personnel is considered as two-way process, which, on the one hand, includes the work of administration and human resources service, and, on the other hand, the work of employee himself. The analysis of current mechanism of career development has been conducted from the lens of main actors of educational relations. The principal target of career planning from the perspective of administration is adaptation and submission of individual career strategies of university teachers to the strategic tasks of the development of the whole university.
Improving Accuracy of Peacock Identification in Deep Learning Model Using Gaussian Mixture Model and Speeded Up Robust Features

Data set is a most crucial aspect for the object recognition by the deep learning. The effect of training a deep learning model would be not good with an insufficient quantity of the data set. For example, there are two similar pictures which are captured from a video with a peacock and these two pictures are separated by one second in this video. Results show that the peacock was recognized by the model in the former picture but it failed in the latter picture due to the angle change of the peacock. In order to improve recognition effects of the model, we propose a system based on Gaussian Mixture Model and Speeded Up Robust Features to recognize peacocks in images. We also implement the prototype of this article and conduct a series of experiments to test the proposed solution. Furthermore, experimental results show the scheme did improve the accuracy of the complete training model.
Negative Concord in Modern Standard Arabic

This study examines negative concord (NC) constructions in Modern Standard Arabic (MSA). The study shows that MSA is a strict NC language with n-words that must co-occur with a negative expression yielding only one logical negation to the semantics in spite of the fact that they can contribute negation on their own in fragment answers. I argue that an analysis of NC in MSA as syntactic agreement whereby n-words are assumed be non-negative indefinites with a formal negative feature that needs to be checked and deleted against semantic negation can better capture the distribution of n-words in the language than other approaches that take n-words to be either negative polarity items (NPIs) or negative quantifiers.
SOCIAL MEDIA AS A FORM OF LITERARY LEARNING INNOVATION FOR THE MILLENNIAL

Social media at one point has used its power to seduce and invite the millennial to write creatively, develop their imagination, empower themselves, and participate in improving the quality of literacy learning. This study aims to describe the use of twitter as one of the literary learning media innovations. The method in this study is a descriptive qualitative method. The data sources of this study are pantun produced by netizens via twitter by the hashtag #pantun. From the uploaded of the resulting tweet that generated from 2015-2019, 15 of the tweet is taken as a data source. Data collection techniques using documentation techniques, namely by doing a screenshot of the resulting tweet. Data analysis techniques used are (1) data collection; (2) data reduction; (3) presentation of data, namely interpreting data on the problem under study; and (4) drawing conclusions. The results of the study show that many Twitter citizens produce pantun in a good category. This proves that literature is not only produced in classrooms, but also outside the classroom. In addition, social media, especially Twitter can be an innovation in learning literature so that learning literature becomes more interesting.