bluuebunny/crossref_metadata_2025 huggingface dataset:
“Why Did You Leave There?”: Lillian Allen’s Geography Lesson
Authors: Eldridge Michael
Published: March 2021

Early last November, Minneapolis, where I live, concluded a mayoral campaign in which race, masquerading as “crime” (surprise!), figured as the single most important issue. Although FBI statistics showed that violent crime had actually decreased over the last several years, there had been enough sensational anecdotal evidence to the contrary to keep the Minneapolitan unconscious haunted by the bogeyman who has arisen to account for the city’s perceived decline. This spook (I use the word advisedly) figures centrally in a myth not so much of Paradise Lost as Paradise Spoiled: 10, 15 years ago, the story goes, this was a prosperous, clean, safe city, full of hardworking, tolerant, and liberal citizens. And then, they arrived, and kept on coming: aliens from Chicago, St. Louis, and (sotto voce) Gary—gangsters, criminals, and promiscuous welfare cheats bent on swindling their generous and gullible hosts out of hard-earned tax dollars (“‘Moneyapolis,’ they call us”) and generally disrupting their peaceful way of life. Now it’s getting to the point where it’s almost as bad as New York.
“Mezanmi, Kouman Nou Ye? My Friends, How Are You?”: Musical Constructions of the Haitian Transnation
Authors: Averill Gage
Published: March 2021

In 1990, Haitian President Jean-Bertrand Aristide appointed Farah Juste, a well-known political singer from Miami, to be the representative to the government from the Dizysèm Depatman (10th Department), a neologism for the Haitian dyaspo or dyaspora (diaspora). Aristide hoped to draw on the resources, talents, and investment potential of the diaspora to rebuild insular Haiti. By appointing a singer as its representative, Aristide recognized the leading role of musicians in constructing and sustaining a notion of a Haitian nationhood lòt bb dlò (across the water).
Migrancy and Syncretism: A Turkish Musician in Stockholm
Authors: Hanunarlund Anders
Published: March 2021

Rinkeby is a modern suburb in the northern outskirts of Stockholm. Standardized concrete facades, shopping centers, and subway stations are characteristic of the milieu. As late as the 1960s, Rinkeby, with its red-painted timber houses and grazing cows, could have been described as a typical Swedish farmstead. In the years around 1970, this rural idyll was reached by urban expansion, and an extensive system of big residential districts was laid out across meadows and forests.
Evaluation of design consistency on horizontal curves for two-lane state roads using bicycle-model and realistic parameters of driver behaviour
Authors:   , Maljković Biljana
Published: March 2021

The loss of vehicle stability in horizontal curves is a clear indicator of horizontal alignment design inconsistency, which can easily be quantified by determining the margins of safety. The doctoral thesis presents an overview of current horizontal alignment design guidelines and most important research of the design consistency concept. The following significant shortcomings in current road design practice were noticed: selection of unrealistic relevant speeds, the assumption that drivers follow a path with a radius equal to curve radius and the application of too simple vehicle model, i.e. basic point mass model. To overcome the observed limitations, the new consistent design approach has been developed, with an emphasis on horizontal curves. The new approach is based on the margin of safety concept, improved in terms of using the bicycle vehicle model in combination with more realistic values of speed and vehicle path radii. The bicycle vehicle model considers longitudinal load transfer, on individual axles, due to grade and speed changes, i.e. factors affecting margins of safety that are completely ignored by the simple point mass model used so far. To collect the driver behaviour data, an experimental investigation was conducted on a segment of the two-lane state road DC1 (Croatia). Individual speeds and vehicle path radii achieved by representative sample of drivers were recorded with a highfrequency GPS device. Based on the analysis of recorded data, the implementation of naturalistic driver behaviour in the road design process is proposed through regression models for predicting operating speeds (for tangents and horizontal curves) and through the equation for calculating the critical path radius. The improvement of the safety margin concept has created the basis for designing horizontal curves with high level of safety, both for the values of available friction on modern pavements as well as for future measurements. Based on operating speed consistency criterion and improved safety criterion related to driving dynamic consistency, the graphs of applicable adjacent horizontal curve radii were developed. The results obtained showed that the values of minimum horizontal curve radii need to be increased and, finally, this analysis has provided a physical explanation of the most common causes of accidents in sharp horizontal curves.
Repeatency as a qualifying feature of crimes affecting the objects of intellectual property rights
Authors: Korotiuk Oksana
Published: March 2021

The article reveals the peculiarities of repeatency as a qualifying feature of crimes affecting the objects of intellectual property rights. The analysis made it possible to conclude that the repetition of socially dangerous encroachments on objects of intellectual property rights takes place in the case of: a) committing certain socially dangerous acts on the same object of intellectual property rights two or more times (for example, repeated illegal publication of the same work after the sale of the previous edition); b) committing certain socially dangerous acts on different objects of intellectual property rights, which are defined in the same article (part of article) of the Criminal Code, two or more times (for example, committing illegal reproduction of one work, and then committing illegal reproduction of another work); c) committing two or more different separate socially dangerous acts (actions whose objective side is different) in relation to the objects (object) of intellectual property rights, which are defined (which is defined) in the same article (part of article) of the Criminal Code (for example, illegal reproduction of the work and its illegal distribution). The conclusion is that presence or absence of a sign of repeated encroachments on the objects of in-tellectual property rights depends on the following factors: 1) the number of committed socially dangerous acts; 2) the number of objects of intellectual property rights that are negatively (criminally) affected. At the same time, the infringement of several objects of intellectual property rights does not always indicate the recurrence of crimes. For example, encroachment on an object of related rights, which simultaneously results not only in violation of the holder's right to the object of related rights (audiovisual work), but also in violation of the rights of the author of the text and / or musical work. However, several people (copyright and related rights) are affected by this event.
Some ways to improve legislation of Ukraine to combat crimes against children
Authors: Korniyenko Maksym
Published: March 2021

The scientific article explores some ways to improve the legislation of Ukraine to ensure effective counteraction to violent crimes against children. The system of state and international legal protection of the child is considered. Some regularities and systematic miscalculations in the state are identified and directions for improving legal acts to ensure effective counteracting of violent crimes against children are clarified. It is noted that joining the European legal community with the basic tenet of respect for the legal values of each person is the main direction of development for Ukraine. The legislation of Ukraine defines the protection of childhood as a priority and strategic direction of the whole state policy, while, as practice shows, only the presence of legal norms without an established mechanism of implementation is not able to ensure their effectiveness. Attention is emphasized that positive international practices of effective investigation of violent crimes against children should be introduced into the legislation in force, while not forgetting that the main priority is to ensure the psychological health of the child. Attention was also drawn to the importance of international cooperation in criminal proceedings, as it is through the joint actions of different Member States of the international community that the punishment of a person who has committed a criminal offense, including violent crimes against a child, is effectively enforced. The article highlights the directions of significant improvement of the activity of public authorities in combating violent crimes against children. At the same time, special attention was paid to the fact that the improvement should take place at the same time as improving the social conditions of citizens, raising their legal consciousness and culture.
Prinsip Good Environmental Governance Oleh Pemerintah Kabupaten Siak (Studi Kasus Kebakaran Lahan Gambut Di Kecamatan Dayun)
Authors: Rusadi Sylvina , Nina Yuslaini
Published: March 2021

Negara Indonesia merupakan negara yang memiliki lahan gambut terbesar nomor empat di dunia.Untuk itu potensi kebakaran hutan dan lahan di Indonesia juga menjadi besar.Salah satu usaha yang dilakukan oleh pemerintah pusat dalam mencegah kebakaran hutan adalah dengan membuat aturan yang dapat menjadi dasar pedoman penanganan kebakaran lahan di Indonesia.Salah satu nya adalah melalui Peraturan Menteri Lingkungan Hidup dan Kehutanan Republik Indonesia Nomor 32 Tahun 2016 Tentang Pengendalian Kebakaran Hutan dan Lahan. Namun, hingga saat ini aturan yang ditetapkan belum dapat mencegah terjadinya kebakaran hutan dan lahan di Indonesia. Penelitian ini dilakukan di Provinsi Riau karena Provinsi Riau merupakan salah satu provinsi di Indonesia yang memiliki agenda tahunan bencana kebakaran hutan dan lahan. Penelitian ini bertujuan untuk mengetahui sejauh mana prinsip Good Environmental Governance dapat diterapkan oleh Pemerintah Kabupaten Siak dalam mencegah terjadinya kebakaran lahan dan juga untuk mengetahui faktor penghambat dalam penerapan Good Environmental Governance oleh Pemerintah Kabupaten Siak.Metode penelitian yang dilakukan adalah menggunakan metode Kualitatif melalui pendekatan studi kasus dengan menggunakan teori Good Environmental Governance dan menggunakan wawancara sebagai teknik pengumpulan data yang di ambil pada tahun 2019. Hasil penelitian diperoleh bahwa penerapan prinsip Good Environmental Governance oleh pemerintahan kabupaten siak dalam menanggulangi dan mencegah kebakaran lahan gambut sudah berjalan dengan baik
Komunikasi Dinas Komunikasi Dan Informatika (DISKOMINFO) Kabupaten Sijunjung Dalam Penanganan Pandemi Covid-19
Authors: Eriend Dion , Defhany  , Ria Edlina
Published: March 2021

Penelitian ini mengkaji tentang komunikasi Dinas Komunikasi dan Informatika (KOMINFO) Kabupaten Sijunjung dalam penanganan Pandemi Covid-19 di Kabupaten Sijunjung dengan melihat bagaimana komunikasi yang dilakukan Dinas KOMINFO dalam menangani pandemi Covid-19.Penelitian ini menggunakan model komunikasi krisis CERC (Crisis and Emergency Risk Communication) dari Centers for Disease Control (CDC)yang dibagi kedalam beberapa Fase dalam Crisis Communication Lifecycle.Penelitian menggunakan pendekatan kualitatif deskriptif.Penetapan informan pada penelitian ini menggunakan mekanisme purposive dengan menetapkan kriteria informan.Informan pelaku pada penelitian ini adalah Dinas KOMINFO Kabupaten Sijunjung.Teknik pengumpulan data melalui wawancara mendalam, observasi, dan dokumentasi.Analisis data dalam penelitian ini menggunakan teknik analisis Miles dan Huberman yaitu kodifikasi data, penyajian data, dan penarikan kesimpulan /verifikasi. Hasil penelitian ini yaitu komunikasi Dinas KOMINFO Kabupaten Sijunjung dalam penanganan pandemi virus Covid-19 dilakukan dalam Fase Pra Krisis (Pre-Crisis Phase), Fase Awal Krisis (Initial Phase), Menjaga Krisis (Crisis Maintenance). Sedangkan untuk Resolusi (Resolution) dan Evaluasi (Evaluation) belum dilakukan karena pada saat ini krisis pandemi virus Covid-19 masih berlangsung di Kabupaten Sijunjung. Sarana atau media komunikasi yang digunakan yaitu website, Radio, Konferensi Pers, Media Cetak dan online, Media Sosial (Youtube, Facebook, Instagram), dan pelibatan Tokoh Masyarakat sebagai komunikator yaitu Ketua Majelis Ulama Indonesia (MUI) Kabupaten Sijunjung
Proses Adopsi Program Asuransi Usaha Ternak Sapi/Kerbau (AUTS/K) Di Kabupaten Pesisir Selatan
Authors: Charmini Arsih Charlly , Fuad Madarisa  , Gunarif Thaib
Published: March 2021

Penelitian ini bertujuan untuk mendeskripsikan: 1) karakteristik peternak dan ternak peserta AUTS/K di Kabupaten Pesisir Selatan, 2) persepsi peternak terhadap program AUTS/K di Kabupaten Pesisir Selatan, 3) proses adopsi program AUTS/K di Kabupaten Pesisir Selatan, dan 4) persepsi peternak terhadap keberlanjutan program AUTS/K di Kabupaten Pesisir Selatan. Data penelitian terdiri atas karakteristik peternak, karakteristik ternak, persepsi peternak, sifat inovasi program, proses adopsi inovasi, dan kategori adopter. Analisis data dilakukan dengan menggunakan model analisa data Miles and Huberman. Hasil penelitian menunjukkan bahwa Umumnya peternak di Kabupaten Pesisir Selatan berumur 30-49 tahun dengan jenis kelamin hampir seimbang antara laki-laki dan perempuan, tingkat pendidikan SMA, jumlah ternak 1-3 ekor sapi, pengalaman beternak 1-9 tahun, tingkat pendapatan 1-2 juta rupiah, dan merupakan anggota kelompok tani/ternak. Karakteristik ternak yang mengikuti program AUTS/K merupakan jenis ternak sapi, memiliki identitas berupa eartag, umur ternak 4-10 tahun, dan berjenis kelamin betina. Persepsi peternak terhadap manfaat program AUTS/K di Kabupaten Pesisir Selatan umumnya sangat baik pada aspek memberikan rasa aman dan perlindungan, AUTS/K sebagai alat penyebar risiko, dan AUTS/K dapat meningkatkan kegiatan usaha. Proses adopsi inovasi program AUTS/K oleh peternak di Kabupaten Pesisir Selatan umumnya dimulai pada tahap pengetahuan, tahap persuasi, tahap keputusan, tahap implementasi, dan tahap konfirmasi. Keberlanjutan program AUTS/K di Kabupaten Pesisir Selatan sangat baik. Saran untuk penelitian ini agar pemerintah dapat membantu meningkatkan pengetahuan peternak terhadap program AUTS/K sehingga tingkat adopter menjadi bertambah. Selain itu, untuk penelitian selanjutnya agar dapat lebih menyempurnakan kekurangan yang ada pada penelitian ini menjadi lebih baik
Optimalisasi Pelayanan Publik Bagi Pemimpin di Era Digitalisasi di Provinsi Riau
Authors: Khan Ayub
Published: March 2021

Permasalahanterhadap gamang teknologi di era kekinian sangatlah tidak wajar, karena aparatur sipil negara di harapkan harus mampu memanfaatkan penggunaan teknologi berbasis informasi yang sangat bermanfaat untuk tata kelola organisasi di pemerintahan.   Usaha-usaha untuk mampu memanfaatkan teknologi baik  berbasis website ataupun aplikasi   yang telahdi design sedmikian rupa melalui situs resmi yang sumber datanya dapat  di ketahui oleh publik agar mudah diakses dan dapat disebar luaskan agar publik dapat mengetahui dan memanfaatkan informasi yang ada dalam website   dimaksud  sebagai sumber  informasi dari suatu sistem pemerintahan yang mungkin sangat bermanfaatuntuk di adopsi ataupun di adaptasi  sebagai referensi suatu kebijakan yang telah di anolir  untuk kepentingan yang lebih konrehensif. Dalam  usianya yang  ke 63 tahun,  9 Agustus 2020 ini, tata  kelola pemerintahan di Provinsi Riau sesuai Undang-Undang Nomor  23 Tahun 2014 tentang Pemerintahan di Daerah, Riau terus berbenah dan seiring  dengan kemajiuan teknologi digital di era 4.0  , untuk memberikan Pelayanan seoptimal mungkin kepada pengguna pelayanan publik, sebagaimana  yang di amanatkan dalam  Undang-Undang Nomor  25 Tahun 2009 dan Peraturan Pemerintah Nomor 96 Tahun 2009.Melalui situs resmi website Pemerintah Provinsi Riau  telah melakukan upaya-upaya Pelayanan yang terintegrasi dimaksud dan dismaping di perlukan Grand Design Organisas  digital di Provinsi Riau yang merupakan suatu inovasi daerah dalam terus meningkatkan kemajuan pembangunan dan kesehateraan masyarakat di daerah ini. Berkenaan hal tersebut, organisasi sebagaimana di ketahui merupakan sebuah wadah atau tempat berkumpulnya sekelompok orang untuk bekerjasama secara rasional dan sistematis, terkendali, dan terpimpin untuk mencapai suatu tujuan tertentu dengan memanfaatkan sumber daya yang ada. Pada umumnya organisasi akan memanfaatkan berbagai sumber daya tertentu dalam rangka untuk mencapai tujuan, seperti; uang, mesin, metode/ cara, lingkungan, sumber daya manusia, dan sumber daya lainnya, yang dilakukan secara sistematis, rasional, dan terkendali. Disamping hal tersebut .berdasarkan teori komunikasi hyperpersonal dan etika komunikasi di era digital ini. Peran pemimpin tetap diperlukan sebagai figur panutan dalam berperilaku, sehingga seorang pemimpin bagaimanapun tetap harus menjadi orang yang berkarakter terlebih dahulu sebelum berteriak mengenai karakter itu sendiri, agar proses interaksi melalui komunikasi yang sifatnya hyperpersonal akan mewujudkan kondisi masyarakat yang kita harapkan bersama
Evaluasi Kebijakan Program Di Bidang Tanaman Pangan & Hortikultura Dalam Rangka Pengentasan Kemiskinan Pada Dinas Ketahanan Pangan Dan Pertanian Kota Dumai
Authors: Lilis Wahyuni  , Fara Shaliza
Published: March 2021

Penelitian ini dilatar belakangi oleh masih rendahnya ketahanan pangan masyarakat, belum optimalnya diversifikasi konsumsi pangan lokal, Sumber Daya Manusia pertanian masih kurang, harga sarana produksi mahal dan harga komoditi pertanian rendah, produksi pertanian belum maksimal, dan regulasi di bidang pertanian. Tujuan penelitian ini adalah untuk mengevaluasi dan mengetahui faktor-faktor penghambat dalam pelaksanaan kebijakan program di Bidang Tanaman Pangan dan Hortikultura dalam rangka pengentasan kemiskinan pada Dinas Ketahanan Pangan dan Pertanian Kota Dumai. Penelitian ini dilakukan pada Dinas Ketahanan Pangan dan Pertanian Kota Dumai Provinsi Riau, khususnya di Bidang Tanaman Pangan dan Hortikultura. Penelitian ini fokus pada evaluasi kebijakan program tanaman pangan dalam rangka pengentasan kemiskinan  pada  Dinas  Ketahanan  Pangan  dan  Pertanian  Kota  Dumai.  Justifikasi pemilihan lokasi didasarkan pada pertimbangan bahwa Dinas Ketahanan Pangan dan Pertanian Kota Dumai merupakan Organisasi Perangkat Daerah (OPD) yang mendapat pelimpahan tugas dan wewenang Walikota Dumai dalam hal mewujudkan ketahanan pangan. Untuk memperoleh data, penelitian ini menggunakan triangulasi metode yaitu: Observasi, Wawancara dan Dokumen. Analisis data dengan menggunakan jenis penelitian deskriptif dengan analisa kualitatif
Textile Art Creation as a Tool for Raising Awareness of Corruption in Ghana
Authors: Boateng Solomon , Asinyo Benjamin Kwablah , Howard Ebenezer Kofi , Apau Edward , Seidu Raphael Kanyire
Published: March 2021

Textile art possesses the ability to communicate with the viewer in as much as the viewer understands the visual images. It involves art made of textiles or about textiles by utilising techniques such as embroidery, patchwork, quilting, applique, tapestry, dyeing, and painting, among others. This study explores the use of conventional and non-conventional textile materials in a mixed-media technique in the production of artefacts aimed at raising awareness of corruption in Ghana; a national canker that is retarding the country’s growth. It employed a practice-based research approach to gain new ideas or knowledge in the study through practice. The study revealed that the artefacts serve as an effective communication tool to create awareness of the dangers of corruption in the country, thereby expanding the frontiers of textile art by exploiting various techniques and materials.
Deteksi Area Wajah Manusia Pada Citra Berwarna Berbasis Segmentasi Warna YCbCr dan Operasi Morfologi Citra
Authors: Yatim Moh La Andi Rais Imran , Sari Jayanti Yusmah , Ningrum Ika Purwanti
Published: March 2021

Face detection is one of the most important preprocessing steps in facial recognition systems used in biometric identification. Face detection is used to determine the location, size and number of faces in an image or video in various positions and backgrounds. One method used in face detection systems is segmentation based on skin color. In this study YCbCr skin color segmentation method and morphological operations were used. Based on the results of experiments conducted on 38 images, the system obtained an accuracy of 63.15%
Peramalan terhadap Forex dengan Metode ARIMA Studi Kasus GBP/USD
Authors: Suryono Michael Saputra , Oetama Raymond
Published: March 2021

Forex or Foreign Exchange is trading a country's currency with another country's currency. The purpose of this study is basically to test the accuracy of ARIMA on the GBP/USD currency pair. In addition, this research is expected to provide the benefits of knowledge about forecasting using ARIMA. This study resulted in forecasting the GBP/USD currency pair within 1 month, per 6 months from January 2018 to June 2018 using the ARIMA method and R software. Data to be used are data taken from January 2013 to June 2018. For the the process will follow the process of the KDD (Knowledge Discovery in Database). The results obtained by the ARIMA model (3,2,1) as the best model to be applied for 1 month per 6 months on the GBP/USD currency pair because it has the lowest AIC value and the mean absolute percentage error is 3.16%.
Pengujian Usability Pada Prototype Aplikasiwadaya Dengan Metode Usability Testing Mengadopsi Standar Iso 9241:11
Authors: Krisna Kadek , Arthana I Ketut Resika , Pradnyana Gede Aditra
Published: March 2021

The purpose of this research is to test the usability of Wadaya application prototype using usability testing method adopting ISO 9241: 11 standard. Wadaya application prototype will be tested using three usability concepts namely effectiveness, efficiency, and user satisfaction. In this research, testing will be done twice with 20 respondents. The first prototype test result shows that (1) Wadaya application prototype is still not effective seen from mistakes made by respondents when during the execution of the task. The results showed 53.57%. (2) Wadaya application prototype is not efficient seen from the result of 44% Overall Relative Efficiency. (3) Wadaya application prototype has not fulfilled user satisfaction seen from 59,00 SUS score. The second prototype test results show that (1) Wadaya application second prototype is still not effective seen from mistakes made by respondents when during the execution of the task. The results showed 19,17% for the beginner group and 25,00% for the advance group. (2) Wadaya application second prototype is not efficient seen from the result of 74% Overall Relative Efficiency. (3)Wadaya application second prototype has fulfilled the user satisfaction seen from SUS score of 69,00 which is stated have satisfied when compared with SUS standard that is 68.
Geschlechterbewusste Pädagogik in der Praxis
Authors: Jenderek Lydia
Published: March 2021

Geschlechterbewusste Pädagogik hat sich als Topos in Folge der Diskussionen um den Umgang mit Mädchen und Jungen in der Schule entwickelt. Die Autorin rekonstruiert anhand von Interviews mit Lehrkräften, die sich als geschlechterbewusst verstehen, wie geschlechterbewusste Pädagogik gefasst werden kann.
Wiedereinstiegsberatung
Authors: Reggi-Graßl Nina
Published: March 2021

Wie kann der Wiedereinstieg in die Erwerbsarbeit aus der Care-Arbeit gelingen? Die Autorin nimmt in ihrer ethnografischen Studie eine vom Bundesministerium für Familie, Senioren, Frauen und Jugend und der Bundesagentur für Arbeit initiierte Maßnahme in den Blick, die die Begleitung solcher Wiedereinstiegsprozesse durch externe Beratungseinrichtungen zum Ziel hat. Ihre Perspektive richtet sie dafür nicht nur auf die Wiedereinsteigenden, sondern auf das machtvolle Beratungssetting zwischen Beraterinnen und Beratungskundinnen. Sichtbar wird u.a. ein politisch gelenktes Selektionsverfahren, das nur bestimmte weibliche Arbeitskräfte zum Wiedereinstieg auffordert und andere nicht.
Artificial intelligence analysis of FTIR and CD spectroscopic data for predicting and quantifying the length and content of protein secondary structures
Authors: Haris P.I. , Hering J.A.
Published: March 2021

Besides NMR and X-ray crystallography, FTIR and CD spectroscopy are widely considered to be useful for determining protein secondary structure. These techniques can be used to obtain data in few minutes, using small quantities of proteins, which make them amenable for proteomics research. Here we explore the possibility of using artificial intelligence techniques to simultaneously analyse both FTIR and CD spectroscopic data for an identical set of proteins. Neural network analysis was carried out on normalised regions of FTIR (1700-1600 cm−1) and CD (180-259 nm) spectral data both with and without boxcar averaging in order to quantify the average length and percentages of secondary structures. A hybrid genetic algorithm/neural network approach, that automatically selects structure-sensitive wavelength/frequency, was used for the quantification of the protein secondary structure. Using this algorithm we also successfully identified the region of the CD spectrum that contains the most structure-sensitive information. This was located between 214-251 nm, suggesting that this region alone may be sufficient to rapidly determine the secondary structure content from CD spectral data. Overall, CD spectroscopic analysis produced better results compared to FTIR spectroscopy when selected wavelengths were used, although FTIR was better when the entire region between 1700-1600 cm−1 (FTIR), and 180-259 nm (CD), was subjected to neural network analysis. Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) with fuzzy subtractive clustering for the analysis of the spectral data led to a slightly better prediction of the average helix/sheet length for FTIR spectroscopy compared to CD. Our findings reveal the potential of using artificial intelligence techniques for not only extracting structural information but also for better understanding of the relationship between complex spectral data and biologically important information.
Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer
Authors: Zhao Qiaoyun , Xie Jun , Xie Jinliang , Zhao Rulin , Song Conghua , Wang Huan , Rong Jianfang , Yan Lili , Song Yanping , Wang Fangfei , Xie Yong
Published: March 2021

BACKGROUND: Gastric cancer (GC) is one of the most deadliest tumours worldwide, and its prognosis remains poor. OBJECTIVE: This study aims to identify and validate hub genes associated with the progression and prognosis of GC by constructing a weighted correlation network. METHODS: The gene co-expression network was constructed by the WGCNA package based on GC samples and clinical data from the TCGA database. The module of interest that was highly related to clinical traits, including stage, grade and overall survival (OS), was identified. GO and KEGG pathway enrichment analyses were performed using the clusterprofiler package in R. Cytoscape software was used to identify the 10 hub genes. Differential expression and survival analyses were performed on GEPIA web resources and verified by four GEO datasets and our clinical gastric specimens. The receiver operating characteristic (ROC) curves of hub genes were plotted using the pROC package in R. The potential pathogenic mechanisms of hub genes were analysed using gene set enrichment analysis (GSEA) software. RESULTS: A total of ten modules were detected, and the magenta module was identified as highly related to OS, stage and grade. Enrichment analysis of magenta module indicated that ECM-receptor interaction, focal adhesion, PI3K-Akt pathway, proteoglycans in cancer were significantly enriched. The PPI network identified ten hub genes, namely COL1A1, COL1A2, FN1, POSTN, THBS2, COL11A1, SPP1, MMP13, COMP, and SERPINE1. Three hub genes (FN1, COL1A1 and SERPINE1) were finally identified to be associated with carcinogenicity and poor prognosis of GC, and all were independent risk factors for GC. The area under the curve (AUC) values of FN1, COL1A1 and SERPINE1 for the prediction of GC were 0.702, 0.917 and 0.812, respectively. GSEA showed that three hub genes share 15 common upregulated biological pathways, including hypoxia, epithelial mesenchymal transition, angiogenesis, and apoptosis. CONCLUSION: We identified FN1, COL1A1 and SERPINE1 as being associated with the progression and poor prognosis of GC.
Overexpression of BAMBI and SMAD7 impacts prognosis of acute myeloid leukemia patients: A potential TERT non-canonical role
Authors: Shehata Miral Magdy , Sallam Al-Aliaa Mohamed , Naguib Mary Gamal , EL-Mesallamy Hala Osman
Published: March 2021

BACKGROUND: Bone morphogenetic protein and activin membrane-bound inhibitor (BAMBI) and mothers against decapentaplegic homolog 7 (SMAD7) are important transforming growth factor-β (TGF-β) signaling antagonists, however their roles in acute myeloid leukemia (AML) remains unclear. Telomerase reverse transcriptase (TERT) may be involved in regulating BAMBI and SMAD7 expressions; a role beyond telomeres that is not clinically validated yet. OBJECTIVE: In this study, we examined the expression levels and prognostic values of BAMBI, SMAD7 and TERT and their association with AML patients’ outcomes. METHODS: Blood samples were collected from 74 de-novo AML patients and 16 controls. Real-time quantitative PCR (qRT-PCR) was performed to analyze BAMBI, SMAD7 and TERT expressions. RESULTS: BAMBI and SMAD7 expression in AML were significantly upregulated versus controls (p< 0.05). BAMBI, SMAD7 and TERT levels were significantly correlated together (p< 0.001). Kaplan-Meier analysis indicated that patients with high BAMBI, SMAD7 and TERT expression levels had markedly shorter event free survival (EFS) and overall survival (OS) time (p< 0.01). Furthermore, multivariate analysis revealed that only high BAMBI expression was an independent risk factor for OS (p= 0.001). CONCLUSIONS: BAMBI is a novel biomarker in predicting prognosis in AML patients. Moreover, a potential interplay is found between BAMBI, SMAD7 and TERT in AML pathogenies.
An effective fuzzy clustering algorithm with outlier identification feature
Authors: Gosain Anjana , Dahiya Sonika
Published: March 2021

DKIFCM (Density Based Kernelized Intuitionistic Fuzzy C Means) is the new proposed clustering algorithm that is based on outlier identification, kernel functions, and intuitionist fuzzy approach. DKIFCM is an inspiration from Kernelized Intuitionistic Fuzzy C Means (KIFCM) algorithm and it addresses the performance issue in the presence of outliers. It first identifies outliers based on density of data and then clusters are computed accurately by mapping the data to high dimensional feature space. Performance and effectiveness of various algorithms are evaluated on synthetic 2D data sets such as Diamond data set (D10, D12, and D15), and noisy Dunn data set as well as on high dimension real-world data set such as Fisher-Iris, Wine, and Wisconsin Breast Cancer Data-set. Results of DKIFCM are compared with results of other algorithms such as Fuzzy-C-Means (FCM), Intuitionistic FCM (IFCM), Kernel-Intuitionistic FCM (KIFCM), and density-oriented FCM (DOFCM), and the performance of proposed algorithm is found to be superior even in the presence of outliers and noise. Key advantages of DKIFCM are outlier identification, robustness to noise, and accurate centroid computation.
Fuzzy probability based person recognition in smart environments
Authors: Durairaj M. , Asha J. Hirudhaya Mary
Published: March 2021

Biometric features are used to verify the people identity in the living places like smart apartments. To increase the chance of classification and recognition rate, the recognizing procedure contains various steps such as detection of silhouette from the gait profile, silhouette segmentation, reading features from the silhouette, classification of features and finally recognition of person using its probability value. Person recognition accuracy will be oscillated and declined due to blockage, radiance and posture variance problems. In the proposed work, the gait profile will be formed by capturing the gait of a targeted person in stipulated time to reach the destination. From the profile the silhouettes are detected using frame difference and segmented from the background using immediate thresholding and features are extracted from the silhouette using gray-level covariance matrix and optimized feature set is formed using PSO. These optimized features are fused, trained and classified using nearest neighbor support vectors. The fuzzy probability method is used for recognizing the person based on the probability value of the authentic and imposter scores. The relationship between the CMS, TPR, TNR and F-rate are calculated for 1 : 1 matcher from the gallery set. The performance of the classifiers are found to be perfect by plotting the DET graph and ROC curve. The proposed fuzzy probability theory is mingled with GLCMPSO and NSFV method for human recognition purpose. The performance of the proposed is proved to be acceptable for recognition with the optimal parameters (Entropy, SSIM, PSNR, CQM) calculation From the work, it is clear that, the rank probability is proportional to the match score value of the silhouette stored in the gallery.
Novel similarity measures and multi-expert TOPSIS method using picture m-polar fuzzy sets
Authors: Ahmed Dliouah , Dai Binxiang
Published: March 2021

In this paper, we give a new notion of the picture m-polar fuzzy sets (Pm-PFSs) (i.e, combination between the picture fuzzy sets (PFSs) and the m-polar fuzzy sets (m-PFSs)) and study several of the structure operations including subset, equal, union, intersection, and complement. After that, the basic definitions, theorems, and examples on Pm-PFSs are explained. Also, the certain distance between two Pm-PFSs and a novel similarity measure for Pm-PFSs based on distances are defined. MCDM is animated for Pm-PFS data that take into account the distances for the best alternative (solution) by proposed an application of similarity measure for Pm-PFSs in decision-making. Finally, we construct a new methodology to extend the TOPSIS to Pm-PFS in which capable of different objects recognizing belonging to the same family and illustrate its applicability via a numerical example.
What is the future for immersive virtual reality in memory rehabilitation? A systematic review
Authors: Plechatá Adéla , Nekovářová Tereza , Fajnerová Iveta
Published: March 2021

BACKGROUND: A growing interest in non-pharmacological approaches aimed at cognitive rehabilitation and cognitive enhancement pointed towards the application of new technologies. The complex virtual reality (VR) presented using immersive devices has been considered a promising approach. OBJECTIVE: The article provides a systematic review of studies aimed at the efficacy of VR-based rehabilitation. First, we shortly summarize literature relevant to the role of immersion in memory assessment and rehabilitation. METHODS: We searched Web of Science, ScienceDirect, and PubMed with the search terms “memory rehabilitation”, “virtual reality”, “memory deficit”. Only original studies investigating the efficacy of complex three-dimensional VR in rehabilitation and reporting specific memory output measures were included. RESULTS: We identified 412 citations, of which 21 met our inclusion criteria. We calculated appropriate effect sizes for 10 studies including control groups and providing descriptive data. The effect sizes range from large to small, or no effect of memory rehabilitation was present, depending on the control condition applied. Summarized studies with missing control groups point out to potential positive effects of VR but do not allow any generalization. CONCLUSIONS: Even though there are some theoretical advantages of immersive VE over non-immersive technology, there is not enough evidence yet to draw any conclusions.
Convolutional neural network with U-Net architecture to detect buildings in satellite imagery for statistical purposes
Authors: Kharis Muhammad , Mariyah Siti
Published: March 2021

Statistics Indonesia (BPS) carries out a population census every ten years, which provides data on the number, composition, distribution, and characteristics of the Indonesian population. However, the vast geographical area and the variety of tribal communities pose a challenge in adequately conducting this activity. Over the years, BPS has taken various ways to minimize under coverage issues, such as digitizing, tagging, and categorizing each region into local environmental units (SLS) or non-SLS. The population census is carried out in areas categorized as SLS because non-SLS are uninhabited. However, in reality, there are conditions where the non-SLS areas, such as inland and forest, are inhibited by tribal people, thereby making it difficult for enumerators to collect data. Therefore, this study proposes an innovative approach to underpin the population census in non-SLS areas using a building detection approach. It is assumed that the presence of a building in an area indicates the possible presence of people living there. The research developed nine CNN models with U-Net architecture capable of performing semantic segmentation to detect buildings on Sentinel 2 and Landsat 8 satellite imagery using some bands. The result showed that the U-Net architecture is the best model with input dimensions of N × 64 × 64 × 10, where N is the amount of data capable of detecting buildings in Sentinel 2 satellite images. Furthermore, the model produces an F1 score on the validation data of 0.7282 and has been trained for 50 epochs (repetition) with a dashboard developed to visualize the detection results with a plugged-in model.
A measure based pricing framework for data products
Authors: Ye Yazhen , Zhang Yao , Liu Guohua , Zhu Yangyong
Published: March 2021

It has been widely recognized that data can be viewed as a kind of assets. But accounting for data assets and pricing data transactions are still difficult due to the lack of reasonable measurements of datasets or data products. Literatures of data pricing mainly focus on traditional pricing models including models basing on contents of data, demand of market, data quality, etc.. However, due to the particularity of data, the above models may not coincide with the measure theory and thus suffer from some problems. For example, they do not consider how to price datasets sharing common contents; whether we should pay for a repeat purchase; and how to define peak-valley tariff formally for usage-based pricing. To tackle the above problems, in this paper, we formally define measure spaces for datasets and data products. Specifically, we introduce the measures on discrete, continuous and product data spaces respectivaly. Further we introduce the integral and propose a measure based pricing framework for data products. Our work is parallel to existing pricing models. We fouce on how to measure data, and pricing data is a natural extension by integrating the unit price function under the measure. In contrast, existing models focus on determining total prices directly by considering lots of factors like contents of data, demand of markets, etc. By doing analyses on several real-world applications and cases, we prove the effectiveness and generality of our proposal.
Production of Extracellular Protease from Bacterial Co-cultures using Solid State Fermentation
Authors: Sheikhs Nabiha Naeem , Qurat-ul-ain  , Saba Altaf
Published: March 2021

Proteases (also known as peptidases or proteinases) are hydrolytic enzymes that cleave proteins into amino acids. They comprise 60% of the total industrial usage of enzymes worldwide and can be obtained from many sources. The current study aims to isolate and screen protease-producing bacterial strains from the soil and to produce protease from the bacterial co-cultures using solid-state fermentation (SSF). Primary screening of the protease-producing bacterial strains was carried out on skim milk agar and they were sub-cultured and preserved on the nutrient agar for further testing. Thirty-two compatibility tests of twenty-seven bacterial isolates were performed and SSF was carried out. Afterward, absorbance was taken at 660 nm against tyrosine as standard. According to the results, the bacterial co-culture 19 showed the highest absorbance with an enzyme activity of 10.2 U/ml. The bacterial strains of the co-culture 19 were identified through morphological and biochemical tests. Bacterial strain 1 was observed as cocci and irregular, while bacterial strain 2 was bacillus and rod-shaped. Both strains were positive for gram staining, catalase test, casein hydrolysis test and methyl red test. As for endospore staining, bacterial strain 1 was spore forming while bacterial strain 2 was a non-spore former. It was concluded that the bacterial co-culture 19 can act as a potent co-culture for protease production. Compatibility test was carried out to enhance the production of protease by utilizing cheap and readily available agro-waste products, which benefit the industry by being cost effective and the environment by being eco-friendly.
III.-Crónica Legislativa
Authors: R. J. E.
Published: March 2021

.
Applicability of the Tanaka-Johnston method for the estimation of the mesiodistal diameter of canines and premolars in patients of 12-18 years old
Authors: Pereda Vázquez Laura , Ameneiros Narciandi Oscar , Soto Rico Aracelys
Published: March 2021

The Tanaka-Johnston method is used worldwide to predict the diameter of canines and premolars not erupted for the convenience of not needing boards or x-rays for use. However, in recent years researchers from several countries have shown that when used in a different population for which it was designed, it can overestimate or underestimate the values. In Cuba, where the facial pattern of the population differs from the ideal for this method, it has been highly used, but there are very few studies where the reliability or accuracy of the predictions of the same is validated. Therefore, the objective of this research is to determine the applicability of the Tanaka-Johnston method for estimating the mesiodistal diameter of canines and premolars in patients aged 12-18 years. A descriptive and cross-cutting study was conducted from June 2019 to January 2020 with a population of 140 patients of both sexes between 12 and 18 years of age from Cuba. Measurements were made of the mesiodistal widths of the lower incisors, all canines, and premolars. Frequency distributions were made to the variables studied and the results were presented in statistical tables. The t-Student statistical test was used to verify significant differences. The main results obtained were that the Tanaka-Johnston method tends to overestimate the values for the female sex and underestimate them for the male, both between 0.2 and 0.3 mm, but this difference is not significant. It is concluded that the Tanaka-Johnston method can be applied in the population studied for the prediction of the mesiodistal width of unerupted canines and premolars.
New germline mutations in BRCA1, ATM, MUTYH, and RAD51D genes in Tuvans early-onset breast cancer patients
Authors: Gervas P. , Molokov A. , Ivanova A. , Panferova Ye. , Kiselev A. , Chernyshova A. , Choynzonov E. , Pisareva L. , Cherdyntseva N.
Published: March 2021

Background: In Russia, more than 50,000 women are diagnosed with breast cancer (BC) every year. Russia is a multinational country — about 200 ethnic groups live on its territory. Khakass, Buryats, Tuvans and other ethnic groups show higher rate of increase in BC incidence and a younger age of first diagnosed BC compared to Caucasian ethnicities. We focused on Tuvan ethnic group to find specific genetic aberrations associated with BC. There are no BC prevention models as well as standards for the treatment of inherited BC in Tuvans. In this context, the search for genetic markers of early cancer detection and the development of criteria for therapy response are relevant. Aim: To identify hereditary mutations in BC-associated genes in Tuvan women. Materials and Methods: 24 patients with early-onset BC (range, 25 to 46 years) were enrolled in the study. Genomic DNA isolated from blood samples was used to prepare libraries using a capture-based target enrichment kit covering 27 genes (ATM, APC, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, EPCAM, FAM175A, MLH1, MRE11A, MSH2, MSH6, MUTYH, NBN, PALB2, PIK3CA, PMS2, PMS2CL, PTEN, RAD50, RAD51C, RAD51D, STK11, TP53 and XRCC2). Next-generation sequencing was performed using the Illumina NextSeq500 System. Results: In our study, one pathogenic mutation was detected in BRCA1 (rs80357868) gene (prevalence of 4%, 1/24). We identified the truncating 3875_3878delGTCT mutation of BRCA1 gene in Tuvans BC patient aged 34 years. We also detected three mutations that were probably damaging by PolyPhen2 and/or deleterious by SIFT in ATM (rs781023264), MUTYH (rs199840380) and RAD51D (rs145309168) genes. Conclusion: To the best of our knowledge, this is the first report that describes the highly pathogenic variant in the BRCA1 gene (rs80357868) and possibly damaging (PolyPhen2) germline variants in the ATM (rs781023264), MUTYH (rs199840380) and RAD51D (rs145309168) genes in young Tuvans BC patient.
Non-destructive analysis of materials by neutron imaging at the TITAN facility
Authors: Nazarov K.M. , Mukhametuly B. , Kichanov S.E. , Zholdybayev T.K. , Shaimerdenov A.A. , Karakozov K.B. , Dyussambayev D.S. , Aitkulov M.T. , Yerdauletov M. , Napolskiy P. , Kenessarin M. , Kalymkhan E.K. , Imamverdiyev N.A. , Jabarov S.H.
Published: March 2021

Since 2019, the TITAN neutron radiography and tomography facility have been operating at the WWR-K research reactor. The experimental station is intended for a wide range of applications in various fields of science. Since the launch, several interesting works have been carried out to study the internal features of lithium-ion batteries and geophysical materials. The spatial resolution of the detector system was sufficient to visualize the internal elements of the lithium battery and to separate individual grains of the pyrite mineral in the rock sample. This paper presents the technical parameters of the experimental setup and the results of the recent applied research.
Influence of pulsed plasma treatment on phase composition and hardness of Cr3C2-NiCr coatings
Authors: Kakimzhanov D.N. , Rakhadilov B.K. , Tyurin Yu.N. , Kolisnichenko O.V. , Zhurerova L.G. , Dautbekov M.K.
Published: March 2021

In this study, the research results of the influence of pulsed plasma treatment on phase composition, hardness, and roughness of Cr3C2-NiCr coatings are presented. The Cr3C2-NiCr coating was applied to substrate 12Kh18N10T stainless steel by detonation spraying method. To change the physical and mechanical properties of sprayed coating’s surface layers, subsequent pulse-plasma treatment was used. The pulse-plasma treatment leads to changing the roughness of Cr3C2-NiCr coating. The results of mechanical tests showed that after pulsed plasma treatment, the hardness of Cr3C2-NiCr coating is increased. Based on X-ray diffraction analysis, it was found that the hardness increasing of coating is associated with phase transformations on the surface layer, in particular, the formation of the oxide phase and an increase in the number of carbide particles.