Reviewerly/exHarmony huggingface dataset:
Perbedaan Compressive Strength Scaffold Kombinasi Kitosan dan Ekstrak Aloe Vera dengan Pelarut Air dan Etanol

&lt;strong&gt;&lt;em&gt;Background: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Scaffold can be use in bone regeneration, but it should have similarities characteristic to a natural bone such as compressive strength that supported the process of growth and development of bone. This research use scaffold that made from chitosan and Aloe vera. Chitosan well-known as &lt;em&gt;osteoconductive&lt;/em&gt; material, meanwhile Aloe vera was osteoinductive material. &lt;strong&gt;Purpose: &lt;/strong&gt;The aim of this research was to compare compressive strength scaffold combinations of chitosan and Aloe vera extracted water and ethanol. &lt;strong&gt;Methods:&lt;/strong&gt; Research design using post test only control group design with 36 scaffolds divided into 6 groups. Group 1 was scaffold Aloe vera extracted water (AVa), group 2 was scaffold Aloe vera extracted ethanol (AVe), group 3 was scaffold combination chitosan and Aloe vera extracted water 1: 1 (k-AVa1), group 4 was the scaffold combination of chitosan and Aloe vera extracted ethanol 1: 1 (k-AVe1), group 5 was scaffold combination of chitosan and Aloe vera extracted water 1: 2 (k-AVa2), and group 6 was scaffold combination of chitosan and Aloe vera ethanol extract 1: 2 (k -AVe2). Compressive strength test used Universal Testing Machine (Shimadzu Autograph–AGS–1kNX and using software Trapezium X). Data were analyzed using One Way ANOVA and Games Howell test. &lt;strong&gt;Results: &lt;/strong&gt;The result of compressive strength AVa=1.36 MPa, AVe=1.03 MPa, k-AVa1=0.27 MPa, k-AVe1=0.11 MPa, k-AVa2=0.38 MPa, and k-AVe2=0.29&lt;strong&gt; &lt;/strong&gt;MPa&lt;strong&gt;. &lt;/strong&gt;All groups have significant differences except AVa &amp;amp; AVe and k-AVa1 &amp;amp; K-AVe2 (p&amp;gt;0,05). &lt;strong&gt;Conclusion: &lt;/strong&gt;There was difference between compressive strength scaffold combinations of chitosan and Aloe vera extracted water and ethanol, and the most highest compressive strength is AVa.&lt;/em&gt;
Introducing the counter mode of operation into optical image encryption

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text L. Zhang and T. J. Naughton, "Introducing the counter mode of operation into optical image encryption," in Digital Holography and Three-Dimensional Imaging 2019, OSA Technical Digest (Optica Publishing Group, 2019), paper Th3A.20. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Compressive Optical Encryption of Three-dimensional Image

A new compressive optical encryption of three-dimensional image method is presented. The 3D object can be encrypted into a hologram and recovered via phase-shifting first and compressive Fresnel holography. The feasibility and superiority are verified.
Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder

Extreme Learning Machine (ELM) is a popular method in machine learning with extremely few parameters, fast learning speed and model efficiency. While a significant drawback is that ELM is restricted by its single-layer structure and prized analytic solution. If simply stacking more layers, analytic solution of ELM will be intractable. Then gradient-based optimization method is preferred and that results into normal neural networks. Recently a multi-layer ELM (ML-ELM) is proposed to learn compact feature with a series of ELM auto-encoders, which attempts to extend ELM to a deeper network without sacrificing elegant solution. Compared with ML-ELM and following hierarchical ELM, we introduce a sparse Bayesian learning method to imply a stronger sparse regularization and prune network structure. Experiments on classification verify the efficiency of our proposed new multi-layer ELM for unsupervised feature learning.
Parameter estimation for partially observed linear stochastic system

This paper is concerned with the problem of parameter estimation for a partially observed linear stochastic system. The state estimator is obtained by using the continuous-time Kalman linear filter...
MONGODB DATABASES IN BIG DATA APPLICATIONS IN TRANSPORTATION INDUSTRY

M2M (Machine-to-Machine) technologies provide a number of solutions in logistics and transport, such as fleet management solutions, asset tracking systems, parking space management and payment, road tolls, traffic volume monitoring, connected road signs, traffic lights and cameras, connected navigation, passenger services, etc. The data obtained is huge and need high performance to be usable. NoSQL data systems are the answer to it. When compared to relational databases, many NoSQL systems share several key characteristics including a more flexible data model, higher scalability, and a superior performance. Although there are dozens of NoSQL databases, they primarily fall into one of the following three categories: document databases, graph databases and databases based on key-value and wide column model. MongoDB is an open-source document database. In this paper the possibilities of using MongoDB databases in innovative applications of Big Data in the transportation industry will be explored.
Wikidata and Scholarly Communication

An invited presentation at the OCLC Linked Data Roundtable session at the American Library Association Annual Conference in Washington, D.C., June 22, 2019. This presentation is on Wikidata and scholarly communication. Outline: •Profiles for Scholarly Publications and Creative Works in Wikidata•A Use Case for Anchalee Panigabutra-Roberts (Q62393357)•Wikidata Tools and Query Service•Access to Book Chapters and Articles in Conference Proceedings in Bibliographic Records•A Case Study of American University in Cairo and major findings•Recommended Workflow and Enhanced Access to Book Chapters and Articles in Conference Proceedings•Wikidata as an Alternative to Provide Access to Book Chapters and Articles in Conference Proceedings•Wikidata as a Community-building Tool
Ansiedade, depressão e qualidade do sono no pós-operatório mediato de cirurgia oncológica

Anxiety, depression and sleep quality in mediate postoperative oncologic surgery
Panorama image processing system using Scale-Invariant Feature Transform (SIFT)

Image stitching is the process to generate one large panoramic image from collective relative image sequence without overlapping. Panoramic photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. The process to generate a panoramic view can be divided into three main components - image feature detection, image matching, and blending. Scale Invariant Feature Transform (SIFT) used to extract the features from the images and matching them which is a part of image registration. SIFT features are invariant to rotation, translation, image scaling and partially invariant to a 3D viewpoint, illumination changes and image noise. Image transformation is estimated using holography. Image blending technique is used to blend the images together to get a panoramic view. Main applications of panoramic view include creating a virtual environment for virtual reality, modeling the 3D environment using images acquired from the real world.
Applying Colorimetric and Image Analysis Methods to Identify the Coal Areas Contributing to the Hydro-Sedimentary Dynamics in Jiu River Basin.

Jiu River, one of the most important Danube tributaries in South-Western Romania, is about 340 km long, with a catchment area of 10,080 km 2 .The Jiu River basin is distinguished by the presence of coal mining areas (bituminous coal in the upper sector -the Petroșani depression, and lignite in the middle sector -the Motru-Rovinari basin), which impacts the composition of fine sediments through the incorporation of coal particles.The general goal of the paper is to determine the presence of coal and estimate the proportion of coaly particles in the fine sediments transferred within the Jiu watershed, by using visual-based methods, namely colorimetric and image analysis applied on 88 samples of fine river sediment collected from Jiu River and its main tributaries and on 5 samples of bulk coal taken from mining areas.The colour-based approach conducted to a better characterisation of the river sediments and coal samples in terms of the colour shades that could highlight the presence of coal.The best explanatory index proved to be a*, closely followed by b*, y, C* and v', which were further used in the automatic interaction detection models.There was no evident link between coal content seen from the coal grains surface (%) point of view through image analysis and the distribution of colorimetric indices for Jiu river and its tributaries.Still, the automatic interaction detection analysis succeeded to correctly classify the lignite and for a part of the bituminous coal samples (the fractions <20 µm).The remaining coarser fractions of bituminous coal samples were confused with lignite particles and could not be used as predictors for sediment samples with coal content.
Need analysis: A case study for listening skill at tenth-grade students on English learning

Although listening is known as the primarily skills of others in language acquisition, finding a set of specific listening materials that can improve student’s skill based on students’ need in their department is very hard. Considering this condition, the writer decided to analyze students’ need for learning listening at tenth-grade in Computer and Engineering Networking Department. Hutchinson and Waters (1987) theory used to analyze the Need Analysis in this study. Based on the result, it found that students’ goal is to support they carrier in computer field because listening is play important role in communicating with other. Moreover, desired inputs are authentic materials that can decided by the participants and can be learnt outside the classroom but they only understand about 100-150 words. In addition, they want interest material which can do in pairs and in a small group
Improving Reading Comprehension of Students through Reciprocal Reading: The Case of Canitoan National High School

This study investigated the effect of reciprocal reading strategy on reading comprehension among the grade 10 students of Canitoan National High School using quasi-experimental method. Twenty grade 10 junior high school students of Canitoan National High School were randomly selected and then divided into control and experimental groups during the fourth grading period of school year 2018-2019. The data gathering instrument used in this study was taken from the Testing Reading Power book authored by Concordia C. Logue, Saturnina R. Ferrer, and Regina R. Condez. The author was granted permission to use five selections of story in the book for academic purposes. A pretest and posttest was given before and after the conduct of treatment to the two groups of respondents. The One-way Analysis of Covariance (ANCOVA) was used in the study to determine the significant difference between the pretest and posttest score of the two experimental and control groups. The analysis yielded an F-ratio of 0.23 and probability value of 0.638 which indicates that there was no significant difference between the pretest and posttest score of experimental group and control group at 0 .05 level of significance which led to the non-rejection of the null hypothesis. This implies that reciprocal reading strategy applied to the experimental group was not effective in improving the reading comprehension skills of students.
KARAKTERISTIK EDIBLE FILM DARI KULIT KOPI ROBUSTA (Coffea canephora) DAN UMBI PORANG (Amorphophallus muelleri Blume) [CHARACTERISTICS OF EDIBLE FILM FROM ROBUSTA COFFEE’S SILVER SKIN (Coffea canephora) AND PORANG TUBER (Amorphophallus muelleri Blume)]

Coffee silver skin contains pectin, while porang tuber contains glucomannan which can be utilized in edible film making. The aim of this research was to determine the concentrattion of glycerol as a plasticizer and pectin: glucomannan ratio to obtain edible film with the best characteristics. Edible film was made by combining 4 level of glycerol concentration (0%, 1%, 2%, 3%), and 3 level of pectin: glucomannan ratio (1:1, 3:4, 4:3). The best formulation from this research was edible film made from pectin: glucomannan with ratio of 3:4 and 1% glycerol concentration. Selected edible film formulation has thickness of 0.11±0.1 mm, tensile strength of 2.05± 0.04 MPa, elongation of 40.13±0.39% and water vapor transmission rate of 3.50±0.02 g mm/ m 2 h. ABSTRAK Kulit kopi mengandung pektin, sedangkan umbi orang mengandung glukomanan, sehingga keduanya dapat dimanfaatkan untuk pembuatan edible film. Tujuan penelitian ini adalah untuk menentukan konsentrasi gliserol sebagai plasticizer dan ratio pektin: glukomanan terbaik untuk memperoleh edible film dengan karakteristik terbaik . Edible film dibuat dengan mengkombinasikan 4 level konsentrasi gliserol (0%, 1%, 2%, 3%) dan 3 level rasio pektin: glukomanan (1:1, 3:4, 4:3). Formulasi terbaik dari penelitian ini adalah edible film yang dibuat dari rasio pektin: glukomanan sebesar 3:4 dan konsentrasi gliserol sebesar 1%. Edible film terpilih ini memiliki ketebalan sebesar 0,11±0,1 mm, kuat tarik sebesar 2,05± 0.04 MPa, elongasi sebesar 40,13±0,39%, dan laju transmisi uap air sebesar 3,50±0,02 g mm/ m 2 .jam.
Peningkatan Keterampilan Menulis Narasi melalui Model Pembelajaran SAVI Berbantuan Media CD Interaktif

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;This paper to describe about learning process to improve the skills of writing narrative with the help through SAVI (Somatic, Auditory, Visual, Intelectual) learning model and media CD interactive. The learning process is carried out in three stages namely pre writing, writing, and post writing, with involving the whole activities that include somatic, auditory, visual, and intellectual by using the media cd interactive. This research use qualitative approach type PTK collaboration. The research conducted in two cycles. The result show everage score of student writing narrative same 59 in the first cycle and increase same to 72 in the second cycle.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Artikel ini bertujan untuk mendeskripsikan tentang proses pembelajaran untuk meningkatkan keterampilan menulis narasi yang dibantu melalui model pembelajaran SAVI (&lt;em&gt;Somatic, Auditory, Visual, Intelectual&lt;/em&gt;) berbantuan media CD interaktif. Proses pembelajaran dilaksanakan dalam tiga tahap, yaitu pra-menulis, menulis, dan pasca menulis yang melibatkan keseluruhan aktivitas, meliputi somatik, auditori, visual, dan intelektual yang dibantu dengan penggunaan media CD interaktif. Penelitian ini menggunakan pendekatan kualitatif jenis PTK kolaborasi. Penelitian ini dilaksanakan selama dua siklus. Hasil penelitian menunjukkan bahwa pada siklus I rata-rata nilai menulis narasi sebesar 59 dan mengalami peningkatan pada siklus II dengan nilai sebesar 72.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
Licensing Condition of Multiple Indeterminate+mo Constructions : From the Perspective of Syntactic Processing

본고의 목적은 부정극성어 "誰も／何も(이하, "부정어モ")"가 동일 절 내에서 다중 공기한 소위 다중 "부정어モ" 구문(예: 誰も何も食べなかった)의 인가조건을 통어처리원리의 관점에서 밝히는 것이다. Park(2017)은 생성문법이론만으로는 "しか"가 포함된 다중부정극성어구문(예: 私たちは歌でしか何も返せない)의 인가조건을 밝히는 데에 한계가 있다고 지적하고, 통어처리원리의 관점에서 "しか"가 포함된 다중부정극성어구문의 인가조건을 밝히고 있다. Park(2017)은 논항-부가부의 비대칭성(argument-adjunct asymmetry)이 "しか"가 포함된 다중부정극성어구문과 음률구조(prosodic structure)에 있어 공통적으로 나타난다는 언어현상에 주목하고, 통어처리원리를 통해 다중부정극성어구문의 인가조건이 해결 가능하다고 주장한다. 그러나 이와 같은 연구 접근방식은 "誰も何も食べなかった"와 같은 다중 "부정어モ" 구문에는 적용되지 않는다. 그 이유는 이 구문에서의 "부정어モ"는 "しか"와 유사하게 부가부 위치에 나타난다고는 하나, 격표식의 유형이 달라 상이한 음률구조를 갖고 있기 때문이다. 다시 말해, "부정어モ"의 경우는 구조격(Structural Case)인데 반해, "しか"의 경우는 내재격(Inherent Case)이다. 이에 본고에서는 다중 "부정어モ" 구문의 인가조건을 "しか"가 포함된 다중부정극성어구문의 경우와는 다른 연구 접근방식이 필요하다고 제안한다. 본고의 주장을 정리하면 다음과 같다. (i) 일본어 다중부정극성구문의 통어처리는 해당 부정극성어의 유형에 따라 달라진다. 다중 "부정어モ" 구문의 통어처리는 "しか"가 포함된 다중부정극성어구문의 경우와는 달리 다음과 같은 통어처리를 갖는다. (ii) 다중 "부정어モ"는 각각의 "부정어モ" 구의 pro가 갖는 ➀격표식, ➁의미역할, ③유정성(animacy)에 의해 통어처리가 결정된다. (iii) 상술한 주장은 유사성에 의한 간섭(Similarity-based Interference) 제약에 의해서도 지지된다. The purpose of this paper is to examine licensing condition of multiple indeterminate+mo constructions from the perspective of syntactic processing. Park (2017) indicates that there is a limit to clarify the true licensing conditions of multiple negative polarity item (hereafter, NPI) constructions including sika "only" merely through generative grammar. Park (2017) focuses on linguistic phenomena that argument-adjunct asymmetry appears in both the multiple NPI constructions including sika and the prosodic structures. Park (2017) argues that it is possible to clarify the licensing condition of multiple NPI constructions from the perspective of syntactic processing. However, this research approach does not apply to multiple indeterminate+mo constructions such as dare-mo nani-mo tabe-nakka-ta ‘nobody ate anything’. This is because the type of Case-marking between indeterminate+mo and sika is different, even if they appear in the same adjunct positions. In other words, host NP of indeterminate+mo has structural Case, whereas sika has inherent Case. Therefore, this paper suggests that a different research approach is needed for the licensing condition of multiple indeterminate+mo constructions. The arguments of this paper are as follows: (i) Syntactic processing of Japanese multiple NPI constructions varies depending on types of NPIs. The syntactic processing of multiple indeterminate+mo constructions is distinct from one of multiple NPI constructions including sika. (ii) Syntactic processing of the multiple indeterminate+mos are determined by Case-marking, semantic role, and animacy of each indeterminate+mo phrases. (iii) The above-mentioned claims are also supported by Similarity-based Interference constraints.
CALIBRE: E-Book Management Software in Digital Library Environment

This paper aims to provide an overview of Calibre in electronic environment. Calibre is helpful to manage the collection of e-books; create cataloge, read e-book etc. Compared to other e-book software, Calibre is having more advantages as an application that is used for managing our eBook files. In Calibre we can think of our own personal automated library and can import the eBook files automatically sorts out for us, allowing users to quickly search for the books. This program sorts ebooks, allows users to access them quickly and makes it easy to transfer books to various eReaders. Keywords: e-Book, e-Reader, Calibre, E-Book Management Software and Digital Library. Cite this Article V. T. Kamble, Dundappa S. Amoji. CALIBRE: E-Book Management Software in Digital Library Environment. Journal of Advancements in Library Sciences . 2019; 6(Special Issue 1): 460s–465s.
Improvement of Students’ Training Level in Higher Educational Institutions

Objective: to determine the effective factors of impact on the internal motivation stimulation for students’ study.
A Two-Phase Bug Localization Approach Based on Multi-layer Perceptrons and Distributional Features

Bug localization is a challenging and time-consuming task of the process of bug fixing and, more in general, of software maintenance. Several approaches have been proposed in the literature which support developers in this task by identifying source code files in which the bug is likely to be located. However, the research on this topic never stopped, looking for new methods providing better accuracy and/or better efficiency. In this paper, we propose a two-phase bug localization approach which leverages multi-layer neural networks and distributional features. First phase locations are obtained thanks to a neural network trained on word embeddings representations of fixed bug reports. The second phase refines bug locations taking into account the number of times source code files co-occur in fixed bug locations. To evaluate the approach, we conducted a large-scale experiment on five open source projects, namely Mozilla, Eclipse, Dolphin, httpd, and gcc. Results show that, thanks to pre-trained word embeddings, we were able to implement a scalable approach with a training running time of few hours on large datasets. Performances are comparable to other existing deep learning approaches.
LANGUAGE STYLE AND PRESERVING LOCAL IDENTITY IN WAYANG BANYUMAS THROUGH VOCATIONAL HIGH SCHOOL STUDENTS’ PERFORMANCE

This research is aimed at identifying language style used in Wayang Banyumas and describing the local wisdom reflected in the students’ performance. Local wisdom or also known as local genius may be defined as the sum of the cultural characteristics which the vast majority of a people have in common as a result of their experiences in early life. This is a descriptive qualitative research since it comes up with the identification of language style used in Wayang Banyumas. The primary data were collected from Wayang Banyumas performed by the students of State Vocational High School (SMKN) 3 Banyumas; there were five performances entitled Bilawa Rangsang, Jarasanda Lena, Abiyasa Sayembara, Gendreh Kencana, and Wisangeni Krama respectively. To complete the data, the secondary data were gained from documentation and interview with some key informants who are expert of Wayang Banyumas for enriching the data description. The results reveal several language styles used in Wayang Banyumas dominated by the finding of figurative language and phonological features. Figurative languages found are: metaphor, simile, and hyperbole while the phonological features collected are assonance (purwakanti swara) and alliteration (purwakanti sastra) which belong to repetition of vowel or consonant sounds in a sequence of nearby words. Moreover, socio-cultural values and moral messages are also reflected in wayang performance. It taught the ideal figure of leader, the excellence of deliberation or musyawarah, peaceful act, and honesty.
PERANAN MOTIVASI PIMPINAN DALAM MENINGKATKAN KINERJA APARATUR BIDANG PERPUSTAKAAN DI DESA LIAH BING DINAS PERPUSTAKAAN DAN KEARSIPAN

DANIA ASTINAWATI. Role of Leaders Motivation In Improving Performance Of Library Apparatus In Liah Bing Village Department Of Library And Archives Of Subdistrict. Muara Wahau under the guidance of Mrs. Dra.Hj. Nanik Pujiastuti, M.Si as First Advisor and Dr. Marjoni Rachman M, Si as Supervisor II. The purpose of this study is to determine whether the Motivation Leaders play a positive role against the Apparatus Apparatus In Liah Bing Village Library Service And Archives Sub-District. Muara Wahau. To get the data the authors do the research. The results showed that the Motivation Leaders play a very important role to the apparatus performance, in the sense that the apparatus performance factor in Liah Bing village library and archives service district. Muara Wahau from month to month even from year to year experienced an increasing change. This is followed by the leadership motivation serves as a variable cause. To improve the performance of the apparatus in addition to the motivation factor of the leader then other factors need to get attention so that the performance of apparatus In Liah Bing Village Library Service And Archives Sub-District. Muara Wahau can be improved.
Light-Characteristic-based Dimensional Measurements

We have looked at how to use changes in the position, shape, and distribution of light using such methods as triangulation, structured patterns, and changes in focus. These are the most commonly used methods of optical dimensional measurement over a wide range of applications from steel mills to electronics. But it is also possible to use some basic characteristics of light that change when the light reflects off of or transmits through a material surface.