bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifikasi Aksara Katakana Menggunakan Convolutional Neural Network Arsitektur LeNet
Authors: Winardi Eric Agustian , Hartati Ery 
Published: May 2022

Penelitian ini mengangkat topik terkait dengan identifikasi menggunakan objek aksara katakana. Pada penelitian ini menggunakan beberapa Optimizer, namun belum diketahui penggunaan Optimizer dan Pooling Layer yang memiliki tingkat pengenalan yang terbaik dalam penelitian tersebut. Penelitian ini menggunakan Optimizer Adam, SGD dan RMSprop, kemudian Pooling Layer menggunakan Average dan Max Pooling. Data yang digunakan sebanyak 2070 citra yang terdiri dari 920 citra latih, 690 citra validasi dan 460 citra uji dengan total 46 kelas. Metode pengenalan menggunakan Convolutional Neural Network arsitektur LeNet, dengan input berupa citra yang telah melalui proses preprocessing menggunakan metode otsu dari citra aksara katakana. Skenario pengujian terdiri dari 6 skenario dengan Optimizer dan Pooling Layer yang berbeda-beda. Tingkat akurasi tertinggi didapatkan pada skenario pertama menggunakan Adam dan Average Pooling sebesar 90% dengan hasil pengenalan sebanyak 414 dari 460 data uji. Hasil dari penelitian ini dapat digunakan sebagai referensi pada penelitian lanjutan dengan metode ataupun objek yang sama.
Klasifikasi Tingkat Kemanisan Alpukat Berdasarkan Fitur Hue Saturation Value (HSV) dengan Menggunakan Support Vector Machine (SVM)
Authors: Saputra M Reynaldi , Irsyad Hafiz 
Published: May 2022

Dalam proses penetuan mutu atau tingkat kemanisan buah alpukat di pasaran pada umumnya dilakukan dengan dua cara yaitu menggunakan pakar-pakar untuk pemilihan / sortasi kemanisan alpukat atau menggunakan metode destruktif dengan cara pengambilan sampel, uji coba kemanisan alpukat tersebut seperti menggunakan Refractometer. Permasalahan yang terjadi pada kedua proses tersebut yaitu memiliki cost yang relatif besar dan tidak menghasilkan mutu yang seragam karena sortasi tingkat kemanisan alpukat oleh pakar bersifat subjektif dan kemungkinan terjadinya kesalahan pengamatan sangat besar. Support Vector Machine (SVM) diimplementasikan pada penelitian ini menggunakan kernel linear, polynomial, dan gaussian. Proses pengujian menggunakan K-Fold Cross Validation. Fold yang digunakan yaitu 4-fold, 5-fold dan 10-fold. Performa fitur HSV dan metode SVM yang mendapatkan hasil terbaik adalah pada 5-fold dengan nilai accuracy sebesar 100,00% dengan menggunakan kernel polynomial, precision sebesar 100,00% pada kernel polynomial, dan recall sebesar 100,00% pada kernel polynomial, Sedangkan hasil terendah terdapat pada kernel gaussian 5-¬fold dengan nilai accuracy sebesar 98.91%, precision sebesar 98.61%, dan recall sebesar 98.37%.
Pembuatan Aplikasi Absensi Karyawan Menggunakan Barcode Berbasis Website
Authors: Marpaung Noveri Lysbetti , Hutabarat Sakti , Izzi Mambaul 
Published: May 2022

Teknologi Informasi saat ini sangat bermanfaat bagi individu atau perusahaan dalam mengoperasikan Teknologi Informasi tanpa selalu mengulang dalam mengisi data. Contoh pengoperasian Teknologi Informasi adalah Absensi pada suatu instansi. Absensi dapat digunakan sebagai bukti kehadiran dari setiap karyawan. Dengan pengelolaan Absensi yang baik, sebuah organisasi dapat menjaga performa pegawainya dan meningkatkan kedisiplinan. Saat Ini, Absensi Karyawan yang masih ditangani secara manual, meskipun Personal Computer(PC) telah tersedia sebagai fasilitas pendukung aktivitas kerja. Kondisi ini memungkinkan terjadinya ketidakdisiplinan karyawan. Tujuan kegiatan adalah membuat Aplikasi Absensi Karyawan dengan Sistem Barcode di Warung Segar PT Agritech Retail Indonesia untuk mempermudah dan mempercepat proses pemantauan kinerja karyawan perusahaan oleh Pimpinan perusahaan melalui sistem online. Aplikasi Absensi yang dibuat, dibagi menjadi dua bagian yaitu Absen Pagi merupakan bukti kehadiran setiap karyawan dan Absen Pulang merupakan bukti untuk memberitahu bahwa setiap karyawan pulang tepat waktu atau tidak. Aplikasi ini hanya dikelola oleh seorang Administrator, yang dapat mengubah/menghapus data di sistem. Metode Pengabdian yang digunakan berupa rangkaian kegiatan seperti Survey, Wawancara, dan Metode Perancangan. Kegiatan ini menghasilkan Tampilan Interface dari Absensi Karyawan, Rekapitulasi Absensi Karyawan, Data Karyawan. Pengujian Sistem menunjukkan bahwa semua pengujian yang dilakukan terhadap semua bagian sistem yang dibuat adalah berhasil. Aplikasi ini dapat dimanfaatkan untuk melakukan absensi menggantikan Absensi Manual dan sebagai pencatatan data absensi secara komputerisasi berbasis website dalam sehari, seminggu, sebulan dan setahun di Warung Segar PT Agritech Retail Indonesia.
A Compact Cavity-backed Multiband Dual-polarized Antenna for 5G NR FR2 TN/NTN Mobile Communications
Authors: Basavarajappa Vedaprabhu , Gao Yue , Ying Zhinong , Xu Zhuoao , Fernandez Ryan , Yao Shu Feng , Zhang Xiu Yin 
Published: May 2022

<p>As a solution to the quest of compact antennas that occupy a wider bandwidth in the 5G NR FR2 bands while simultaneously providing dual-polarization and high port-to-port isolation, the paper presents an antenna that serves this purpose. The antenna is a multilayer structure with V slots provided in the bottom and top layer to accommodate the bandwidth of 5G NR FR2 from 26 GHz to 40 GHz. The bottom V slot is responsible for the lower resonance and a cavity supports the top V slot for the upper resonance. These two resonances can be controlled independently to provide multiple wide band operation. The 2x2 antenna has both vertical and horizontal polarization. The port-to-port isolation of the antenna is also better than 25 dB throughout the band. The antenna occupies a size of 13.8mm x 13.8mm making it relatively compact. It has been designed and simulated in CST Studio for performance and then has been fabricated. The simulated results agree well with the measurement results. The antenna can find potential application in the 5G NR FR2 28/38 GHz enabled user equipment such as 5G enabled cell phones and in applications of Terrestrial Networks (TN) and Non-Terrestrial (NTN) mobile networks. </p>
Autonomous clustering by fast find of mass and distance peaks
Authors: Yang Jie , Lin Chin-Teng 
Published: May 2022

<p>Clustering is a fundamental tool of scientific analysis, ubiquitous in disciplines from biology and chemistry to astronomy and pattern recognition. We propose a novel clustering algorithm based on the natural idea that a cluster and its nearest neighbor with higher mass should be merged into one cluster, unless they both have relatively large masses and the distance between them is also relatively large. The find of mass and distance peaks reveals the mergers that don’t conform to the rule and should be removed. The algorithm is parameter-free and harnesses this idea to recognize any cluster and find the proper number of clusters and noise autonomously. Experiments on numerous synthetic and real-world data sets show the enormous versatility of the proposed algorithm that remarkably outperforms the best compared algorithm. Additionally, we also compare it with latest state-of-the-art deep clustering algorithms on several challenging image data sets. The proposed algorithm without any deep representation achieves better or close performance than deep clustering algorithms on image clustering. </p>
Discovering trends of social interaction behavior over time: An introduction to relational event modeling
Authors: Meijerink-Bosman Marlyne , Back Mitja , Geukes Katharina , Leenders Roger , Mulder Joris 
Published: May 2022

AbstractReal-life social interactions occur in continuous time and are driven by complex mechanisms. Each interaction is not only affected by the characteristics of individuals or the environmental context but also by the history of interactions. The relational event framework provides a flexible approach to studying the mechanisms that drive how a sequence of social interactions evolves over time. This paper presents an introduction of this new statistical framework and two of its extensions for psychological researchers. The relational event framework is illustrated with an exemplary study on social interactions between freshmen students at the start of their new studies. We show how the framework can be used to study: (a) which predictors are important drivers of social interactions between freshmen students who start interacting at zero acquaintance; (b) how the effects of predictors change over time as acquaintance increases; and (c) the dynamics between the different settings in which students interact. Findings show that patterns of interaction developed early in the freshmen student network and remained relatively stable over time. Furthermore, clusters of interacting students formed quickly, and predominantly within a specific setting for interaction. Extraversion predicted rates of social interaction, and this effect was particularly pronounced on the weekends. These results illustrate how the relational event framework and its extensions can lead to new insights on social interactions and how they are affected both by the interacting individuals and the dynamic social environment.
Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning
Authors: Inceoglu Fadil , Shprits Yuri Y. , Heinemann Stephan G. , Bianco Stefano 
Published: May 2022

Abstract
Through its magnetic activity, the Sun governs the conditions in Earth’s vicinity, creating space weather events, which have drastic effects on our space- and ground-based technology. One of the most important solar magnetic features creating the space weather is the solar wind that originates from the coronal holes (CHs). The identification of the CHs on the Sun as one of the source regions of the solar wind is therefore crucial to achieve predictive capabilities. In this study, we used an unsupervised machine-learning method, k-means, to pixel-wise cluster the passband images of the Sun taken by the Atmospheric Imaging Assembly on the Solar Dynamics Observatory in 171, 193, and 211 Å in different combinations. Our results show that the pixel-wise k-means clustering together with systematic pre- and postprocessing steps provides compatible results with those from complex methods, such as convolutional neural networks. More importantly, our study shows that there is a need for a CH database where a consensus about the CH boundaries is reached by observers independently. This database then can be used as the “ground truth,” when using a supervised method or just to evaluate the goodness of the models.
Long-term Variability of Class I Methanol Masers in the High-mass Star-forming Region DR21(OH)
Authors: Wenner Nycole , Sarma A. P. , Momjian E. 
Published: May 2022

Abstract
High-mass stars play an important role in the interstellar medium, but much remains to be known about their formation. Class I methanol masers may be unique tracers of an early stage of high-mass star formation, and a better understanding of such masers will allow them to be used as more effective probes of the high-mass star-forming process. We present an investigation of the long-term variability of Class I methanol masers at 44 GHz toward the high-mass star-forming region DR21(OH). We compare observations taken in 2017 to observations from 2012, and also to 2001 data from the literature. A total of 57 maser spots were found in the 2017 data, with center velocities ranging between −8.65 to +2.56 km s−1. The masers are arranged in a western and an eastern lobe with two arcs in each lobe that look like bow shocks, consistent with previous observations. The general trend is an increase in intensity from 2001 to 2012, and a decrease from 2012 to 2017. Variability appears to be more prevalent in the inner arc of the western lobe than in the outer arc. We speculate that this may be a consequence of episodic accretion, in which a later accretion event has resulted in ejection of material whose shock reached the inner arc at some point in time after 2001. We conclude that class I methanol masers are variable on long timescales (of the order of 5–10 yr).
CO Emission Delineating the Interface between the Milky Way Nuclear Wind Cavity and the Gaseous Disk
Authors: Su Yang , Zhang Shiyu , Yang Ji , Yan Qing-Zeng , Sun Yan , Wang Hongchi , Zhang Shaobo , Chen Xuepeng , Chen Zhiwei , Zhou Xin , Yuan Lixia 
Published: May 2022

Abstract
Based on the MWISP survey, we study high-z CO emission toward the tangent points, in which the distances of the molecular clouds (MCs) are well determined. In the region of l = 12°–26° and ∣b∣ ≲ 5.°1, a total of 321 MCs with ∣z∣ ≳ 110 pc are identified, of which nearly 30 extreme high-z MCs (EHMCs at ∣z∣ ≳ 260 pc) are concentrated in a narrow region of R
GC ∼ 2.6–3.1 kpc. The EHMC concentrations, together with other high-z MCs at R
GC ≲ 2.3–2.6 kpc, constitute molecular crater-wall structures surrounding the edges of the H i voids that are physically associated with the Fermi bubbles. Intriguingly, some large high-z MCs, which lie in the crater walls above and below the Galactic plane, show cometary structures with the head toward the plane, favoring the scenario that the entrained molecular gas moves with the multiphase flows from the plane to the high-z regions. We suggest that the Milky Way nuclear wind has a significant impact on the Galactic gaseous disk. The powerful nuclear wind at ∼3–6 Myr ago is likely responsible for the observational features: (1) the enhanced CO gas lying in the edges of the H i voids, (2) the deficiency of atomic and molecular gas within R
GC ≲ 3 kpc, (3) the possible connection between the EHMC concentrations and the 3 kpc arm, and (4) the elongated high-z MCs with the tail pointing away from the Galactic plane.
Near-infrared Spectroscopy of the Nucleus of Low-activity Comet P/2016 BA14 during Its 2016 Close Approach
Authors: Kareta Theodore , Reddy Vishnu , Sanchez Juan A. , Harris Walter M. 
Published: May 2022

Abstract
The near-Earth comet P/2016 BA14 (PanSTARRS) is a slow-rotating, nearly dormant object, a likely dynamical twin of 252P/LINEAR, and was recently shown to have a mid-infrared spectrum very dissimilar to other comets. Comet BA14 was also recently selected as one of the backup targets for the ESA’s Comet Interceptor, so a clearer understanding of BA14's modern properties would not just improve our understanding of how comets go dormant but could also aid in planning for a potential spacecraft visit. We present observations of BA14 during its 2016 Earth close approach taken with the NASA Infrared Telescope Facility on two dates, both of which are consistent with direct observations of its nucleus. The reflectance spectrum of BA14 is similar to 67P/Churyumov–Gerasimenko, albeit highly phase-reddened. Thermal emission contaminates the reflectance spectrum at longer wavelengths, which we correct with a new Markov Chain Monte Carlo thermal modeling code. The models suggest that BA14's visible geometric albedo is p

V
= 0.01–0.03, consistent with radar observations; its beaming parameter is typical for NEOs observed in its geometry; and its reflectance spectrum is red and linear throughout the H and K bands. It appears very much like a “normal” comet nucleus despite its mid-infrared oddities. A slow loss of fine grains as the object’s activity diminished might help to reconcile some of the lines of evidence, and we discuss other possibilities. A spacecraft flyby past BA14 could get closer to the nucleus than with a more active target, and we highlight some science questions that could be addressed with a visit to a (nearly) dormant comet.
Worldwide and Brazilian scientific publications on Leishmaniasis in the first 19 years of 21st century: a bibliometric study
Authors: Nascimento de Melo Saulo , Cristina Silva Amanda , Soeiro Barbosa David , Pena Heber Paulino , Campos Duarte Shaytner , Gonçalves Teixeira-Neto Rafael , Sergio da Silva Eduardo , Silva Belo Vinícius 
Published: May 2022

Introduction: Leishmaniasis is a set of tropical diseases widely distributed throughout the world. Publications concerning different aspects of leishmaniasis have shown an increasing trend in recent years, especially in Brazil, where this disease has been under continuous expansion. The present study analyzes the data and assess trends in publications on leishmaniasis in Brazil and worldwide.
Methodology: The bibliometric analysis was performed on the Scopus database, addressing data on scientific publications about leishmaniasis in the first nineteen years of the 21st century. The tendency of the annual number of publications was analyzed by mean of linear regression equations.
Results: The literature search identified 19.317 publications. Brazil was the country with the largest number of studies (24.88%). The annual growth rate for Brazilian publications was 4.66%, whereas worldwide publications grew 2.96%. The leading ten international authors contributed to 8.71% of the publications, whereas the ten principal Brazilian authors contributed to 4.31%. The largest collaboration network between authors was between Brazil and the United States. Oswaldo Cruz Foundation occupied the premier position in both worldwide and Brazilian ranking in number of publications. The international journal with the largest number of publications and SCImago Journal Rank indicator was PLOS Neglected Tropical Diseases. The Journal of Immunology had the highest H-index. Most of the research covered topics related to immunology and molecular biology.
Conclusions: The data show relevant characteristics of the scientific production on leishmaniasis and demonstrate the fundamental role played by Brazil in the production of knowledge in this area of study.
Culture and culture-independent diagnostic tests in Campylobacter enteritis
Authors: Özcan Nida , Bacalan Fatma , Çakır Fatih , Bilden Alican , Genişel Neslihan , Dal Tuba 
Published: May 2022

Introduction: Campylobacter infections are among the most common causes of bacterial enteritis. This study aims to determine the sensitivity, specificity and positive predictive values (PPV) of culture and culture-independent tests for the diagnosis of Campylobacter enteritis.
Methodology: A total of 400 stool samples were included in the study. BD MAX enteric bacterial panel (BD Diagnostics, Franklin Lakes, NJ, USA) and EntericBio Gastro Panel II (Serosep, Limerick, Ireland) were used as commercial molecular tests. RIDA®QUICK Campylobacter (R-Biopharm, Darmstadt,, Germany) and CerTest (Biotec, Zaragoza, Spain) were used to detect Campylobacter antigens. Samples were cultured in CCDA media and subjected to bacterial identification by mass spectrometry.
Results: Among the 400 specimens, 41 (10.2%) were evaluated as Campylobacter positive; 21 were culture-positive and 20 were detected as positive by both PCR methods. Of the 21 isolates grown in culture, 16 (76.2%) were identified as C. jejuni and 5 (23.8%) as C. coli. While all 21 culture-positive specimens were detected as positive by both molecular tests, 18 of the specimens were found positive by RidaQuick, and 16 by Certest ICA. Of the 20 culture-negative Campylobacter cases, 18 were positive by RidaQuick and 12 by Certest ICA. Sensitivities of culture, ICA-RidaQuick and ICA-CerTest were 51.2%, 87.8 and 68.3, respectively. The specificities of all tests were in the range of 90-100 %. PPV of molecular tests, ICA-RidaQuick and ICA-CerTest were > 95%, 72 % and 48.3 %, respectively.
Conclusions: Molecular tests were superior to culture and ICA in terms of sensitivity, specificity, and positive predictive value.
Molecular analysis for the OprD gene among Pseudomonas aueroginosa clinical isolates obtained from hospitals in Jordan
Authors: Abu Khadra Khalid M , Al-Rabaia Safa’a Y , Khalil Ahmad M , Abu-Qatouseh Luay F , Abussaud Mahmoud J 
Published: May 2022

Introduction: Pseudomonas aeruginosa has increasingly been associated with the emergence of antibiotic resistance. Antibiotic resistance among P. aeruginosa isolates is an ambiguous and complicated mechanism utilizing several enzymes and structural proteins. This study was conducted to investigate the prevalence of mutations in the chromosomal OprD gene that show resistance to carbapenems among clinical isolates of P. aeruginosa.
Methodology: Sixty-three clinical isolates of P. aeruginosa resistant to meropenem were collected from public hospitals in Irbid city, north of Jordan. Analysis of antimicrobial susceptibility was carried out and their susceptibility was categorized. Molecular analysis of mutations in the OprD gene was performed using restriction fragment length polymorphism (RFLP) and DNA sequencing.
Results: Molecular analysis of P. aeruginosa isolates showed 52% of the common molecular modifications among the collected isolates. These alterations could be associated and affect meropenem-susceptibility rather than imipenem. The most frequent molecular changes among the resistant isolates were the F170L substitution mutation. This was detected in 22 (35%) of the isolates with an unusual insertion sequence (IS) of 100 bp within the 590 bp DNA segment downstream of the restriction site. The divergent sequence of 10 amino acids 372(VDSSSSYAGL)383 was detected in 7 (11%) of the isolates.
Conclusions: A significant alteration in the OprD gene in P. aeruginosa clinical isolates was found. Alterations in the OprD gene could be linked to protein permeability of the outer membrane of P. aeruginosa associated with meropenem resistance. Further investigations with a larger number of bacterial isolates are needed to validate the proposed association.
Vibrant Allegories: Questioning Immunity with Ali Smith’s Seasonal Quartet (2016–2020)
Authors: Bernard Catherine 
Published: May 2022

La pandémie du COVID-19 confère à la philosophie politique de Roberto Esposito et à son concept central d’immunité une pertinence particulière. Son essai Immunitas. The Protection and Negation of Life (publié en 2002 et traduit en anglais en 2011) confronte l’allégorie du corps politique à la biopolitique de la modernité. Les paradigmes structurants de son essai – parmi lesquels « l’immunité commune » – sont ainsi essentiels à notre compréhension de la pandémie et de notre corps collectif. Comme le montre aussi la littérature produite en réaction à la pandémie, l’immunité est une notion complexe, qui saisit l’ambiguïté du corps politique dans sa fragilité, mais aussi sa dynamique politique. Cet article se penche sur la tétralogie d’Ali Smith, aussi connue comme son seasonal quartet , afin d’explorer la manière dont la littérature se confronte à cette mise en crise de notre corps collectif, mais aussi comment elle fait le pari d’une « individualité partagée » (Esposito), ou, selon les termes de Donna Haraway, d’une « response-abilité ».
Toxicity, Colonial Violence and Indian Law in Louise Erdrich’s Justice Trilogy
Authors: Coulouma Flore 
Published: May 2022

Dans ses trois romans, The Plague of Doves (2008), The Round House (2012) et LaRose (2016), désignés collectivement sous le nom de « Justice Trilogy », Louise Erdrich explore la notion de toxicité, au sens littéral et métaphorique, pour dénoncer les avatars contemporains de l’oppression coloniale dans les communautés indiennes aux États-Unis. Ses récits d’addiction révèlent les pouvoirs ambivalents du toxon , à la fois médicament et poison, et confrontent la question politique et juridique de l’injustice en « pays indien ». Comme une substance toxique, la violence coloniale euro-américaine laisse des séquelles physiologiques et spirituelles et contamine les communautés à travers les générations, suscitant en retour des stratégies de survie dans le domaine médical (guérison) autant que juridique (réparation). Cet article étudie la notion de toxicité dans la trilogie, dans ses acceptions médicale et juridique, le corps physiologique faisant écho au corps politique. Après un diagnostic initial (identifier le poison), puis un diagnostic différentiel (identifier la cause profonde du poison), j’examine les pronostics et la possibilité de justice thérapeutique et de guérison.