bluuebunny/crossref_metadata_2025 huggingface dataset:
La responsabilidad social universitaria y la salud mental del personal administrativo, docente y estudiantes de la Universidad Nacional Jorge Basadre Grohmann de Tacna
Authors: Vela de Córdova Victoria Nora , Porras Roque María Soledad
Published: February 2020

Objetivo: Este estudio tiene como objetivo determinar la responsabilidad social universitaria y la salud mental positiva del personal administrativo, docentes y estudiantes como actores educativos de la Universidad Nacional Jorge Basadre Grohmann en el año 2018. Materiales y métodos: Es un estudio descriptivo, transversal, cuya muestra estuvo constituida por 636 actores educativos: 348 estudiantes, 162 docentes y 126 administrativos, utilizándose un muestreo no probabilístico por conveniencia. Los instrumentos que se utilizaron fueron dos: el cuestionario de responsabilidad social y el cuestionario de salud mental positiva, los cuales fueron usados para docentes, estudiantes y administrativos. La información fue recolectada y procesada con SPSS 22. Resultados: El 47,6 % de los administrativos manifestaron que existía una política explicita para no segregar el exceso a la formación académica de la población indígena, minoría racial, estudiantes de escasos recursos etc. en la universidad. Respecto a la salud mental positiva el 81,5 % de los administrativos y docentes, en el subdimensión de habilidades cognitivas y emotivas de imaginar que se forma parte de la sociedad y de cómo se sienten las personas, manifestaron siempre asumir la responsabilidad de sus actos y decisiones. Conclusiones. Existe diferencia significativa en la concepción de la responsabilidad social universitaria del personal administrativo, docentes y estudiantes como actores educativos. Existe diferencia significativa en la concepción de la salud mental positiva de los actores educativos.
Alargamiento coronario, remodelado óseo y manejo estético periodontal en pacientes con sobremordida
Authors: Alarico Cohaila Luis Alberto , Alarico Aquize Mauricio Alberto
Published: February 2020

El objetivo de este reporte es describir el alargamiento coronario y remodelado óseo como alternativa a un manejo estético periodontal, soportado en una revisión bibliográfica actualizada. Actualmente la cooperación interdisciplinaria para tratamientos ortodóncicos y periodontales son beneficiosos para personas con sonrisas y dentaduras poco atrayentes estéticamente. Los procedimientos de alargamiento coronario y el remodelado óseo son parte de un tratamiento realizado para mejorar los inconvenientes de las sonrisas gingivales. Los beneficios de estos procedimientos periodontales en pacientes portadores de aparatología fija ortodóncica son notorios y han mejorado en gran medida su autoestima. Se reporta el caso clínico de una paciente femenina de 46 años de edad con una sobremordida acentuada y aparatología fija en el arco inferior que exhibe una sonrisa gingival. Conclusión: La salud periodontal, la estética dentaria y facial deben considerarse en el análisis de las estructuras dentó faciales, ya que constituyen en la mayoría de los casos el motivo de la consulta de pacientes afectados ortodóncica o periodontalmente y que merece un adecuado diagnóstico y así elaborar un plan de tratamiento exitoso.
Medicación intraconducto frente al Enterococcus faecalis
Authors: Pedraza Maquera Karla Ivohnne
Published: February 2020

El aumento de microorganismos resistentes ante los agentes antimicrobianos es uno de los problemas que afectan a las ciencias odontológicas. El Enterococcus faecalis es una bacteria anaerobia facultativa y oportunista, considerada como la mayor causante de los fracasos endodónticos debido a sus múltiples características, tales como su capacidad para competir con otros microorganismos, invadir los túbulos dentinales, resistir medios poco nutritivos, e incluso resistir el pH alcalino (1). Se han realizado varios estudios de eficacia y eficiencia de diversos medios químicos de eliminación bacteriana durante el tratamiento de conducto, estos estudios establecen que el Enterococcus faecalis es sensible a varios irrigantes como al hipoclorito de sodio, gluconato de clorhexidina al 2 % (2-4), así como combinaciones de hidróxido de calcio con hipoclorito de sodio (5,6) y otros estudios con nuevas alternativas de eliminación bacteriana. Por otro lado, se encuentran las medicaciones convencionales intraconducto como el paramonoclorofenol, pasta de hidróxido de calcio, formocresol, pasta medicadas y asociaciones de medicamentosas para uso endodóntico, tales como el hidróxido de calcio con el omeprazol, paramonoclorofenol, yodoformo (7-9), además de nuevas alternativas de medicación como el propóleo. En la terapia endodóntica, el uso del medicamento intraconducto es importante si se desea obtener y mantener un tratamiento endodóntico exitoso, más aun, por la persistencia y resistencia del Enterococcus faecalis que, aunque siendo una bacteria en menor porcentaje en la cavidad oral, constituye una de las principales causas de fracasos endodónticos. Esto hace de esta bacteria altamente virulenta y muy complicada de eliminar.
ANALISIS TINGKAT KEBERHASILAN CRYOTERAPY MENGGUNAKAN NEURAL NETWORK
Authors: Rahayu Sri , Nugraha Fitra Septia , Shidiq Muhammad Ja’far
Published: February 2020

Human health is very important to always pay attention especially after someone has been declared suffering from an illness that can inhibit positive activities. One of the most feared diseases of the 20th century is cancer. This disease requires treatment that is quite expensive. Alternative treatments are cryotherapy or ice therapy. But cryotherapy also has side effects, it is necessary to do research on its success by taking into account certain conditions of the parameters. So the purpose of this study is to analyze the success of cryotherapy so that the dataset can be used as one of the benchmarks for the success of the cryotherapy tratment method. The method used in this study is the machine learning method of Neural Network with 500 training cycles, learning rate of 0,003 and momentum 0,9 which results in a good classification of obtaining quite high accuracy of 87,78% and AUC value of 0,955.
KLASIFIKASI DIAGNOSIS MELAHIRKAN DENGAN METODE SESAR MENGGUNAKAN NEURAL NETWORK
Authors: Shidiq Muhammad Ja'far , Rahayu Sri , Nugraha Fitra Septia
Published: February 2020

Memiliki keturunan yang sehat, normal dan tidak beresiko bukan hal mudah didapatkan, pada kondisi tertentu melahirkan secara normal bukan solusi terbaik, operasi sesar bisa menjadi salah satu opsi yang dianggap relatif aman sejauh ini. Namun, karena sesar merupakan operasi besar, besar pula risikonya. Maka perlu pertimbangan yang matang mengenai metode melahirkan dengan normal atau operasi sesar. Penelitian ini bertujuan untuk mengklasifikasi harus menggunakan metode sesar atau tidak dengan memperhitungkan parameter yang ada yaitu diantaranya Age, Delivery Time, Delivery, Blood, Heart sehingga dapat memprediksi keselamatan ibu dan bayi dalam proses lahiran dengan menggunakan metode Neural Network dengan 80 dataset caesarian, training cycles 200, learning rate 0.01 dan momentum 0.9 dan menghasilkan akurasi sebesar 71,25% dan dengan nilai AUC (Area Under Curve) sebesar 0,721 yang artinya mendapat status fair classification.
KERANGKA PENGAMBILAN KEPUTUSAN UNTUK PEMASARAN PRESISI MENGGUNAKAN METODE RFM, ALGORITMA K-MEANS DAN DECISION TREE
Authors: Jupriyanto Jupriyanto , Nurlela Siti
Published: February 2020

Pemasaran presisi memberikan kemampuan pada perusahaan untuk menawarkan produk-produk yang dibuat secara khusus kepada pelanggan dan memberikan kemampuan kepada perusahaan untuk menarik minat pelanggan dengan pesan-pesan pemasaran yang dibuat secara khusus. Penelitian ini menyajikan kerangka kerja pengambilan keputusan baru menggunakan teknik data mining. Pertama, penelitian ini menyajikan model tren untuk memprediksi secara akurat kuantitas pasokan bulanan; kedua, menggunakan model RFM (Recency,Frequency, Monetary) untuk memilih atribut untuk mengelompokkan pelanggan ke dalam kelompok sesuai history transaksi belanjanya; ketiga, menggunakan Algoritma K-Means untuk membuat clustering pelanggan berdasarkan data RFM masing-masing pelanggan, keempat, menggunakan Decision Tree untuk mengidentifikasi nilai atribut penting untuk membedakan kelompok pelanggan yang berbeda; dan akhirnya, dari proses data mining yang peneliti lakukan menciptakan berbagai strategi penawaran yang menargetkan setiap cluster pelanggan. Data penjualan dari Syifamart di Subang Jawa Barat, dikumpulkan dan digunakan dalam studi kasus untuk menggambarkan bagaimana mengimplementasikan kerangka yang diusulkan. Dari penelitian yang telah dilakukan menunjukan bahwa proses data mining dari history transaksi penjualan 351,158 rows, dengan agregasi berdasarkan pelanggan menggunakan metode RFM dan diekstraksi dengan menggunakan algoritma clustering k-means membentuk 4 (empat) cluster optimal. Keempat (empat) cluster tersebut diklasifikasikan dengan menggunakan algoritma decision tree sehingga Syifamart dapat mengetahui mana pelanggan potensial dan mana pelanggan yang tidak potensial. Untuk ketersediaan pasokan stok, manajemen memprediksi kebutuhan persediaan produk dengan menggunakan metode tren dimana stok di bulan selanjutnya di prediksi dengan menggunkana history penjualan di bulan sebelumnya.
KOMPARASI ALGORITMA NEURAL NETWORK DAN NAÏVE BAYES UNTUK MEMPREDIKSI PENYAKIT JANTUNG
Authors: Nawawi Hendri Mahmud , Purnama Jajang Jaya , Hikmah Agung Baitul
Published: February 2020

Heart disease is one of the types of deadly diseases whose treatment must be dealt with as soon as possible because it can occur suddenly to the sufferer.  Factors of heart disease that are recognized based on the condition of the body of a sufferer need to be known from an early age so that the risk of possible instant attacks can be minimized or can be overcome in various ways such as a healthy lifestyle and regular exercise that can regulate heart health in the body.  By looking at the condition of a person's body based on sex, blood pressure, age, whether or not a smoker and some indicators that become a person's characteristics of heart disease are described in a study using the Neural Network and Naïve Bayes algorithm with the aim of comparing the level of accuracy to attributes influential to predict heart disease, so the results of this study can be used as a reference to predict whether a person has heart disease or not.
IMPLEMENTASI SUPPORT VECTOR MACHINE UNTUK ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PELAYANAN TELKOM DAN BIZNET
Authors: Sari Bety Wulan , Haranto Fadholi Fat
Published: February 2020

Sosial media merupakan suatu media yang dapat digunakan untuk berekspresi oleh penggunanya. Twitter cukup populer dan sering digunakan di Indonesia, pengguna twitter dapat berekspresi dan beraspirasi tanpa adanya batasan. Tweet yang berupa ekspresi dan aspirasi yang ditulis oleh pengguna twitter dapat digunakan untuk ulasan sebuah produk atau layanan. Pada penelitian ini, peneliti menggunakan teknik text mining dengan menerapkan algoritma Support Vector Machine yang dipergunakan untuk analisis sentimen pengguna twitter terhadap pelayanan Telkom dan Biznet. Data pada pelayanan Telkom dan Biznet akan dilakukan perhitungan pada penelitian ini dengan jumlah dataset sebanyak 500 tweet yang berasal dari crawling data twitter, terdapat  250 tweet yang dijadikan dataset pada masing-masing objek. Sejumlah data tersebut akan dipergunakan untuk data training serta data testing dalam proses pembuatan model menggunakan algoritma Support Vector Machine. Metode yang digunakan untuk pengujian model adalah Confusion Matrix sedangkan K-Fold Cross Validation ditujukan untuk untuk membagi data training dan data testing sesuai lipatan yang digunakan. Hasil pengujian yang diperoleh menggunakan metode K-Fold Cross Validation dan Confusion Matrix pada model yang dibuat menggunakan algoritma Support Vector Machine yang memberikan hasil nilai accuracy 79,6%, precision 76,5%, recall 72,8% , dan F1-score 74,6% untuk Telkom, serta accuracy 83,2%, precision 78,8%, recall 71,6%, dan F1-score 75% untuk Biznet.
PEMILIHAN ATRIBUT PADA ALGORITMA C4.5 MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK MENINGKATKAN AKURASI PREDIKSI DIAGNOSIS PENYAKIT LIVER
Authors: Nurlelah Elah , Mardiyanto M. Sukrisno
Published: February 2020

Hati adalah organ vital manusia yang memiliki fungsi kompleks dan beragam, salah satunya adalah dengan menjaga kebutuhan organ dalam tubuh, khususnya otak, karena otak adalah fungsi hati yang kompleks, oleh karena itu, kesehatan hatipun perlu diperhatikan sejak dini agar tubuh tetap sehat. Penyakit hati atau liver merupakan salah satu dari 10 penyakit terbesar penyebab kematian di Indonesia, tetapi pemahaman masyarakat mengenai penyakit liver ini masih sangat rendah. Akibatnya banyak dari mereka yang tidak mendapatkan penanganan dini secara tepat. Karenanya, penting bagi kita untuk dapat mengenali gejala dini penyakit liver sebelum terlambat. Selain itu, deteksi dini terhadap penyakit liver memungkinkan penderita penyakit ini dapat disembuhkan lebih cepat. Sudah banyak penelitian untuk memprediksi penyakit liver, salah satunya yaitu dengan menerapkan metode C4.5. Pada penelitian ini dilakukan optimasi algoritma C4.5 dengan menggunakan Particle Swarm Optimization untuk meningkatkan akurasi prediksi diagnosis penyakit liver. Setelah dilakukan pengujian dengan dua model yaitu Algoritma C4.5 dan Optimasi C4.5 menggunakan Particle Swarm Optimization maka hasil yang didapat pengujian dengan menggunakan C4.5 dimana didapat nilai accuracy adalah 78,86% dan nilai AUC adalah 0,815%, sedangkan  pengujian dengan menggunakan Optimasi C4.5 dengan Particle Swarm Optimization didapatkan nilai accuracy 82,08% dan nilai AUC adalah 0,829 dengan tingkat diagnosa  good  classification. Sehingga  kedua  metode tersebut memiliki perbedaan tingkat akurasi yaitu sebesar 3,22% dan perbedaan nilai AUC sebesar 0,014%. Dapat disimpulkan bahwa penerapan teknik optimasi Particle Swarm Optimization mampu menyeleksi atribut pada C4.5, sehingga menghasilkan tingkat akurasi diagnosis penyakit liver yang lebih baik dibanding dengan menggunakan metode individual algoritma C4.5.
PEMERINGKATAN PENILAIAN KINERJA KARYAWAN MELALUI METODE AHP DAN VIKOR
Authors: Yusnaeni Wina , Marlina Marlina
Published: February 2020

In the company can not be separated from human resources, which is an important part of the company. The success of a company depends on the resources that are in it. Therefore, human resources have a very vital role. One of the most important factors in a company, human resources must be considered for their welfare and appreciation. For example, giving appreciation for employee performance. From evaluating employee performance, exact calculations are required, one of which uses AHP and Vikor methods. The result of this research showed usage method of vikor who assists in assessment has raised the of employee performance based on the criteria of which there are, Where criteria have been in appointed by the company and provision of weight of criteria with the methods ahp. From the results of the count it over with ahp drugs got when the the value of weighted criteria in accordance with the provisions fees for civil servant employees ahp with a value of The CR ≤ 0.1. This is done to explain the consistency of the weight of the criteria which had been assessed by the judges. Next,  with Vikor method, obtained with the smallest value in the calculation of V = 0.5. from the results of the performed calculations to see stability calculation results with alternative methods of vikor 1 way obtained Value Q (2)-Q (1) ≥ DQ,. and obtained also for method 2 using the value V = 0.4 and value V = 0.6 and gained equality results ranked one and two. The result of the method of vikor expected can help decision-makers in determining the ranking of employees based on the best performance of employees.
PERANCANGAN SISTEM INFORMASI PENGAJUAN PINJAMAN BERBASIS WEB MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Widyastuti Titis , Kurnianda Nia Rahma
Published: February 2020

Dalam usaha meningkatkan jumlah anggota yang bergabung dalam naungan koperasi karyawan, koperasi UMB bermaksud melakukan peningkatan pelayanan pada produk simpan pinjam. Namun produk tersebut memiliki rentang waktu pelayanan yang sangat panjang dan antrian yang cukup besar. Sebelum peminjaman disetujui terdapat verifikasi berkas atas aplikasi anggota terlebih dahulu. Pendataan dan pencatatan atas peminjaman dan pembayaran pinjaman pun masih dilakukan secara sederhana yaitu dengan metode tulis tangan. Hal ini menyebabkan rawan terjadinya human error dan dokumen tidak terkontrol. Oleh karena itu, kami merancang sebuah sistem informasi pengajuan pinjaman bagi anggota untuk menyelesaikan permasalahan tersebut. Untuk mendukung usaha koperasi karyawan memberikan kemudahan dalam mengajukan pinjaman, rancangan ini kami buat menggunakan basis web dan berorientasi obyek. Sistem ini nantinya akan memberikan kemudahan bagi anggota untuk mengajukan pinjaman dari manapun dan kapanpun, memberikan keleluasaan bagi anggota untuk mengetahui status peminjaman yang diajukan dan pengembalian hutang yang telah dibayarkan. Selain itu dari sisi koperasi pegawai UMB, benefit yang diterima adalah kemudahan dan kecepatan dalam hal verifikasi berkas serta kerapihan administrasi peminjaman uang. Selain itu dalam pembuatan laporan juga menjadi fitur utama dari sistem yang kami rancang ini. Dalam menghasilkan rekomendasi peminjaman yang disetujui kami menggunakan variasi metode SAW. Hasil kalkulasi dari fitur rekomendasi ini akan menjadi dasar bagi pelayanan verifikasi berkas yang lebih cepat.
PENGGUNAAN METODE PROFILE MATCHING UNTUK PEMILIHAN EOSH CAPTAIN TERBAIK PADA PT.COCA-COLA INDONESIA
Authors: Mashyur Riduan Syaiful , Frieyadie Frieyadie
Published: February 2020

Environment, Occupational, Safety and Health (EOSH) Captain is an activity created by the Safety Officer at PT. Coca-Cola Indonesia. To determine the best EOSH Captain for the first time and is still influenced by the Subjective factor in assessing the prospective EOSH Captain, the safety officer is sometimes difficult to determine the best EOSH Captain, due to the lack of criteria so that the inaccuracy of assessment results in errors in determining the selection of EOSH Captain, constraints Another factor is the search for supporting data for the EOSH captain selection criteria is hampered, because the safety officer must focus on the job desk of his work, resulting in the length of the decision-making process. In this study, to overcome the above constraints, a method called the Profile Matching method is used. This Profile Matching method can process and compare the actual data value of a profile to be assessed with the expected profile value so that competency differences can be known. The purpose of this research is to accelerate the decision-making process. The assessment process will be more accurate, resulting in the determination of the selection of EOSH to be more precise and correct. The assessment process will be more accurate, resulting in the determination of the selection of EOSH to be more precise and correct. The results of calculations using the Profile Matching method above have obtained the greatest value and become the best EOSH captain is employee 17.
Modulation of Systemic and Aortic Nitric Oxide by Melatonin and n-3 Polyunsaturated Fatty Acids in Isoproterenol Affected Spontaneously Hypertensive and Normotensive Wistar Rats
Authors: CHAUDAGAR K. K. , VICZENCZOVA C. , SZEIFFOVA BACOVA B. , EGAN BENOVA T. , BARANCIK M. , TRIBULOVA N.
Published: February 2020

We aimed to explore the effects of melatonin and n-3 polyunsaturated fatty acids (PUFA) supplementation on plasma and aortic nitric oxide (NO) levels in isoproterenol (Iso) affected spontaneously hypertensive (SHR) and Wistar rats. Untreated control rats were compared with Iso injected (118 mg/kg, s.c.) rats, and Iso injected plus supplemented with melatonin (10 mg/kg, p.o.) or PUFA (1.68 g/kg, p.o.) for two months. Plasma and aortic basal, L-NAME inhibited, adrenaline and acetylcholine stimulated NO were determined using Griess method. Plasma NO levels were lower in SHR versus Wistar rats. Iso decreased NO in Wistar while not in SHR. PUFA but not melatonin intake of Iso treated SHR increased plasma NO along with a decrease in systolic blood pressure. Basal aortic NO level was higher in SHR than Wistar rats and not altered by Iso. Intake of melatonin increased but PUFA decreased basal NO levels in Wistar+Iso and did not affect in SHR+Iso rats. Acetylcholine and adrenaline induced aortic NO release was significantly increased in Wistar+Iso but not SHR+Iso group. Melatonin intake increased Ach induced aortic NO in Wistar+Iso and SHR+Iso groups, whereas there was no effect of PUFA intake. Findings suggest that PUFA modulates plasma and melatonin aortic NO levels of isoproterenol affected rats in a strain-dependent manner.
Features of Performing High-precision Survey of the Abrasion Coast Relief by UAV
Authors: Krylenko M. , Krylenko V.
Published: February 2020

The results of adaptation of the methodology for high-precision surveying of the ground relief using UAVs for conditions of marine coastal cliff are given in this work. Analysis of the obtained digital images and created digital elevation models showed that this type of survey is optimal for the considered natural object but has a number of limitations. Low cost and speed of data acquisition are the advantages of the method. The processing complexity and interpreting data in the presence of dense vegetation cover and near coastline are disadvantages of the method.
Age and Microbiota: Epigenetic and Dietary Protection, Endothelial and Vascular Rehabilitation, the New Operated Healthy Biomicrobiota
Authors: Romanchuk P.
Published: February 2020

The main modern tools and techniques of epigenetic, dietary and biomicrobiotic protection of healthy ageing have been studied. Artificial intelligence, brain-microbiota neural networks allow to control interaction of genetic and epigenetic programs of ageing and healthy longevity. The new managed healthy biomicrobiota and personalized functional and balanced nutrition of ‘brain and microbiota’ is a long-term medical program of the patient, which allows the combined application of nutritional epigenetics and pharmacepigenetics, and the main thing to carry out prevention of polypragmasia. Multimodal tools, biochyping, neural and brain chips, next-generation (new) sequencing technologies create biomarkers to manage the structure of healthy biomicrobiota and functional nutrition, depending on the targets achieved. A functional food product using biomarkers and artificial intelligence technologies is a target breeding ground for both the body in general and biomicrobiota in particular. Chronomedical technologies are mathematical models and artificial intelligence that predict human biological age using DNA methylation data, histone modifications, nucleosome remodeling, and microRNA, and are the most accurate biomarkers of the aging process. Epigenetic mechanisms (DNA methylation, histone modifications, ncRNAs) are interconnected and form an ‘epigenetic network’. Lifestyle factors and environmental exposures leave epigenetic marks on our DNA that impact gene expression; some have protective effects while others are harmful. Genetic and epigenetic factors that ensure longevity and super-longevity require a reasonable new human interaction with nature and society, and responsibility for future healthy generations.
Development of a Computerized Student- Advising and Enrollment System
Authors: Campos Greg Sambaan
Published: February 2020

The traditional “paper and pen” method of student records handling manual enrolment system has been bungling the advising and enrolment process every semester. More related issues were raised by stakeholders who compelled the school to acquire and install a new system. The fundamental objective of the system was to bring the level of student record into a structured form. With such a mindset, the system was assumed to consequently improve the conduct of advising and enrolment processes in the school. To expedite the comparison, the author chose the queuing methodology as it allows generate low – cost and affordable technologies include SMS as well as barcode which area also injected into the computerized enrolment system. Further, in programming the application system, the author as FOSS advocate himself, used open – source web engineering tools along the lines of Apache 2 for web service, PHP 5 for server – side scripting, MYSQL for database service, XML AJAX, Code 3 of 9 bar coding technique as well as POSIX – based regular expressions. The development and full – scale implementation of this system had physically changed the landscape of student records handling in the school as student checklists and allied reports can be easily retrieved by deputized users from designated workstations. The enrolment process had significantly improved specifically in terms of advisee and adviser interaction. This becomes possible as advisers have already the luxury of time to talk and exchange ideas with their advisees. While under operational observation, the system will be of exclusive use of the school until proven to be already stable. The rest of the departments will likewise avail of the service in the near future as the application system is designed to be scalable for such expansion.

Keywords: automated system; enrolment system; SMS; student records; system development
Relationship Between Working Mothers towards Exclusive Breastfeeding in Bunda Maternity Clinic Surabaya
Authors: Ayungga Devina Callista , Etika Risa , Kurniawati Eighty Mardiyan
Published: February 2020

Background: The percentage of infants who receive exclusive breastfeeding in Indonesia can be much higher. There are many factors including working mothers. Aim: To find out if there is a significant relationship between working mothers towards exclusive breastfeeding. Methods: This study was an analytic observational study done using the data acquired from a questionnaire given to mothers who come to Bunda Maternity Clinic in Surabaya. Data was then analysed statistically using Chi square test. Result: Out of 20 working mothers, 6 (30%) of them exclusively breastfed their infants while the rest did not. Out of 37 non-working mothers, 28 (76%) of them exclusively breastfed their infants. A p-value of p
Leaf Removal Affects Maize Morphology and Grain Yield
Authors: Liu Guangzhou , Yang Yunshan , Liu Wanmao , Guo Xiaoxia , Xue Jun , Xie Ruizhi , Ming Bo , Wang Keru , Hou Peng , Li Shaokun
Published: February 2020

Increasing planting density is an important practice associated with increases in maize yield, but densely planted maize can suffer from poor light conditions. In our two-year field experiments, two morphologically different cultivars, ZD958 (less compact) and DH618 (more compact), were planted at 120,000 plants ha−1 and 135,000 plants ha−1, respectively. We established different leaf area index (LAI) treatments by removing leaves three days after silking: (1) control, no leaves removed (D0); (2) the two uppermost leaves removed (D1); (3) the four uppermost leaves removed (D2); (4) the leaves below the third leaf below the ear removed (D3); (5) the leaves of D1 and D3 removed (D4); (6) the leaves of D2 and D3 removed (D5). Optimal leaf removal improved light distribution, increased photosynthetic capacity and the post-silking source-sink ratio, and thus the grain yield, with an average LAI of 5.9 (5.6 and 6.2 for ZD958 and DH618, respectively) for the highest yields in each year. Therefore, less-compact cultivars should have smaller or fewer topmost leaves or leaves below the ear that quickly senesce post-silking, so as to decrease leaf area and thus improve light distribution and photosynthetic capacity in the canopy under dense planting conditions. However, for more compact cultivars, leaves below the ear should senesce quickly after silking to reduce leaf respiration and improve the photosynthetic capacity of the remaining top residual leaves. In future maize cultivation, compact cultivars with optimal post-silking LAI should be adopted when planting densely.
Layered Double Hydroxide Nanoparticles to Overcome the Hydrophobicity of Ellagic Acid: An Antioxidant Hybrid Material
Authors: Muráth Szabolcs , Szerlauth Adél , Sebők Dániel , Szilágyi István
Published: February 2020

Ellagic acid (EA), a polyphenolic antioxidant of poor water solubility, was intercalated into biocompatible layered double hydroxide (LDH) nanoparticles by the coprecipitation method. Structural investigation of the composite revealed that the lactone bonds split under the synthetic experimental conditions, and EA was transformed to 4,4′,5,5′,6,6′-hexahydroxydiphenic acid during intercalation. To improve the surface properties of the EA-LDH composite, the samples were treated with different organic solvents. The antioxidant activity of the LDH hybrids was assessed in test reactions. Most of the obtained hybrids showed antioxidant activity comparable to the one of the free EA indicating that the spontaneous structural transformation upon immobilization did not change the efficiency in radical scavenging. Treatments with organic solvents influenced the activities of the materials remarkably. The main advantage of the immobilization procedure is that the products can be applied in aqueous samples in high concentrations overcoming the problem related to the low solubility of EA in water. The developed composites of high antioxidant content can be applied as efficient reactive oxygen species scavenging materials during biomedical treatments or industrial manufacturing processes.
A Robust Real-Time Automatic Recognition Prototype for Maritime Optical Morse-Based Communication Employing Modified Clustering Algorithm
Authors: Wang Xiaozheng , Zhang Minglun , Zhou Hongyu , Lin Xinglong , Ren Xiaomin
Published: February 2020

In maritime communications, the ubiquitous Morse lamp on ships plays a significant role as one of the most common backups to radio or satellites just in case. Despite the advantages of its simplicity and efficiency, the requirement of trained operators proficient in Morse code and maintaining stable sending speed pose a key challenge to this traditional manual signaling manner. To overcome these problems, an automatic system is needed to provide a partial substitute for human effort. However, few works have focused on studying an automatic recognition scheme of maritime manually sent-like optical Morse signals. To this end, this paper makes the first attempt to design and implement a robust real-time automatic recognition prototype for onboard Morse lamps. A modified k-means clustering algorithm of machine learning is proposed to optimize the decision threshold and identify elements in Morse light signals. A systematic framework and detailed recognition algorithm procedure are presented. The feasibility of the proposed system is verified via experimental tests using a light-emitting diode (LED) array, self-designed receiver module, and microcontroller unit (MCU). Experimental results indicate that over 99% of real-time recognition accuracy is realized with a signal-to-noise ratio (SNR) greater than 5 dB, and the system can achieve good robustness under conditions with low SNR.
Characterization and Control for the Laminar Flow of Liquid Polyurethane System in a Wide Angle Diffuser with Transversely Arrayed Obstacles
Authors: Son Young Woo , Lee Jong Hwi , Chang Se-Myong
Published: February 2020

In the manufacturing process of hard-board poly-urethane foams, the uniformity is a very important issue for the raw compound of the liquid poly-urethane system flow for the quality control of such products. One of the universal methods to generate more uniform flow is that some obstacles are located inside the diffuser at the end of injector. For the regime of non-Newtonian laminar flow, better flow uniformity can be achieved with the enhancement of mixing in the wake after the resistive obstacles. In this research, the parametric study is made for the gap interval between adjacent obstacle components as well as the cross-sectional shape with a computational fluid dynamics (CFD) technique. The flow fields around circular and elliptic cylinders are visualized for flow velocity and vorticity with the comparison of root-mean-square (RMS) error for the deviation of velocity at the outlet as a lumped parameter to estimate flow uniformity and mixing. When the blockage ratio is fixed 0.3 for the pipe of Reynolds number 58.5 based on its diameter, eliminating the effect of wall boundary ratio with the classical Blasius velocity profile, the RMS error is reduced 77% to 92% from the baseline case in the case of 60%-diameter gaps for the figure of circles and 2:1 longitudinal ellipse, respectively. The flow is visualized around obstacle components with vorticity as well as flow velocity where the three-dimensional components of vorticity vector are also elucidated in physics for the evolution of complex multi-dimensional flow wake.
Cyclic Plasticity of the As-Built EOS Maraging Steel: Preliminary Experimental and Computational Results
Authors: Mooney Barry , Agius Dylan , Kourousis Kyriakos I.
Published: February 2020

This short communication offers a preliminary view on ongoing research conducted on the as-built EOS maraging steel 300. The material’s cyclic elastoplastic characteristics under strain-controlled loading have been investigated experimentally. Specimens fabricated under two primary orientations, horizontally and vertically to the build plate, have been tested. The obtained stress–strain hysteresis loops exhibited symmetry, with the vertical specimen showing a higher plastic strain energy dissipation capability than the horizontal specimen. Modelling of the material’s elastoplastic behaviour was performed with a commonly used kinematic hardening rule, combined with both isotropic and anisotropic yield functions and elasticity moduli. The obtained simulations of the hysteresis loops, from the implementation of these two plasticity models, indicate the advantage of the anisotropic modelling approach over the isotropic approach. The anisotropic plasticity model describes in a more representative way the inherent elastic and plastic anisotropy of the as-built material. Further research is underway to explore the low cycle fatigue performance of this additively manufactured metal.
Anomaly Detection of Wind Turbines Based on Deep Small-World Neural Network
Authors: Li Meng , Wang Shuangxin , Fang Shanxiang , Zhao Juchao
Published: February 2020

Accurate and efficient condition monitoring is the key to enhance the reliability and security of wind turbines. In recent years, an intelligent anomaly detection method based on deep learning networks has been receiving increasing attention. Since accurately labeled data are usually difficult to obtain in real industries, this paper proposes a novel Deep Small-World Neural Network (DSWNN) on the basis of unsupervised learning to detect the early failures of wind turbines. During network construction, a regular auto-encoder network with multiple restricted Boltzmann machines is first constructed and pre-trained by using unlabeled data of wind turbines. After that, the trained network is transformed into a DSWNN model by randomly add-edges method, where the network parameters are fine-tuned by using minimal amounts of labeled data. In order to guard against the changes and disturbances of wind speed and reduce false alarms, an adaptive threshold based on extreme value theory is presented as the criterion of anomaly judgment. The DSWNN model is excellent in depth mining data characteristics and accurate measurement error. Last, two failure cases of wind turbine anomaly detection are given to demonstrate its validity and accuracy of the proposed methodology contrasted with the deep belief network and deep neural network.
Experimental and Simulation Study of Micro-Channel Backplane Heat Pipe Air Conditioning System in Data Center
Authors: Zeng Liping , Liu Xing , Zhang Quan , Yi Jun , Li Xiaohua , Liu Xianglong , Su Huan
Published: February 2020

This paper mainly studies the heat transfer performance of backplane micro-channel heat pipes by establishing a steady-state numerical model. Compared with the experimental data, the heat transfer characteristics under different structure parameters and operating parameters were studied, and the change of heat transfer coefficient inside the system, the air outlet temperature of the back plate and the influence of different environmental factors on the heat transfer performance of the system were analyzed. The results show that the overall error between simulation results and experimental data is less than 10%. In the range of the optimal filling rate (FR = 64.40%–73.60%), the outlet temperature at the lowest point and the highest point of the evaporation section is 22.46 °C and 19.60 °C, the temperature difference does not exceed 3 °C, and the distribution gradient in vertical height is small and the air outlet temperature is uniform. The heat transfer coefficient between the evaporator and the condenser is larger than the heat transfer coefficient under the conditions of low and high liquid charge rate. It increases gradually along the flow direction, and decreases gradually with the flow rate of the condenser. When the width of the flat tube of the evaporator increases from 20 mm to 28 mm, the internal pressure drop of the evaporator decreases by 45.83% and the heat exchange increases by 18.34%. When the number of evaporator slices increases from 16 to 24, the heat transfer increases first and then decreases, with an overall decrease of 2.86% and an increase of 87.67% in the internal pressure drop of the evaporator. The inclination angle of the corrugation changes from 30° to 60°, and the heat transfer capacity and pressure drop increase. After the inclination angle is greater than 60°, the heat transfer capacity and resistance decrease. The results are of great significance to system optimization design and engineering practical application.
A Modified Car-following Model Considering Traffic Density and Acceleration of Leading Vehicle
Authors: Cao Xudong , Wang Jianjun , Chen Chenchen
Published: February 2020

Although the difference between the velocity of two successive vehicles is considered in the full velocity difference model (FVDM), more status information from preceding vehicles affecting the behavior of car-following has not been effectively utilized. For improving the performance of the FVDM, an extended modified car-following model taking into account traffic density and the acceleration of a leading vehicle (DAVD, density and acceleration velocity difference model) is presented under the condition of vehicle-to-vehicle (V2V) communications. Stability in the developed model is derived through applying linear stability theory. The curves of neutral stability for the improved model indicate that when the driver pays more attention to the traffic status in front, the traffic flow stability region is larger. Numerical simulation illustrates that traffic flow disturbance could be suppressed by gaining more information on preceding vehicles.
Approach to Risk Performance Reasoning with Hidden Markov Model for Bauxite Shipping Process Safety by Handy Carriers
Authors: Wu Jianjun , Jin Yongxing , Hu Shenping , Fei Jiangang , Zhang Yuanqiang
Published: February 2020

An approach based on the hidden Markov model (HMM) is proposed for risk performance reasoning (RPR) for the bauxite shipping process by Handy carriers. The unobservable (hidden) state process in the approach aims to model the underlying risk performance, while the observation process was formed from the time series of risk factors. Within the framework, the log-likelihood probability was used as the measure of similarity between historical and current data of risk reasoning factors. Based on scalar quantization regulation and risk performance quantization regulation, the RPR approach with different step sizes was conducted on the operational case, the performance of which was evaluated in terms of effectiveness and accuracy. The reasoning performance of the HMM was tested during the validation period using three simulated scenarios and one accident scenario. The results showed significant improvement in the reasoning capacity, and satisfactory performance for numerical risk reasoning and categorical performance reasoning. The proposed model is able to provide a reference for risk performance monitoring and threat pre-warning during the bauxite shipping process.
Exceptionally Jewish: Israeli Synagogue Architecture in the 1960s and 1970s
Authors: Simhony Naomi
Published: February 2020

This article examines three exceptional synagogues designed in Israel in the 1960s and 1970s. It aims to explore the tension between these iconic structures and the artworks integrated into them. The investigation of each case study is comprised of a survey of the architecture and interior design, and of ceremonial objects and Jewish art pieces. Against the backdrop of contemporary international trends, the article distinguishes between adopted styles and genuine (i.e., originally conceived) design processes. The case studies reveal a shared tendency to abstract religious symbolism while formulating a new Jewish-national visual canon.
Correlations in Two-Qubit Systems under Non-Dissipative Decoherence
Authors: Bussandri Diego G. , Osán Tristán M. , Lamberti Pedro W. , Majtey Ana P.
Published: February 2020

We built a new set of suitable measures of correlations for bipartite quantum states based upon a recently introduced theoretical framework [Bussandri et al. in Quantum Inf. Proc. 18:57, 2019]. We applied these measures to examine the behavior of correlations in two-qubit states with maximally mixed marginals independently interacting with non-dissipative decohering environments in different dynamical scenarios of physical relevance. In order to get further insight about the physical meaning of the behavior of these correlation measures we compared our results with those obtained by means of well-known correlation measures such as quantum mutual information and quantum discord. On one hand, we found that the behaviors of total and classical correlations, as assessed by means of the measures introduced in this work, are qualitatively in agreement with the behavior displayed by quantum mutual information and the measure of classical correlations typically used to calculate quantum discord. We also found that the optimization of all the measures of classical correlations depends upon a single parameter and the optimal value of this parameter turns out to be the same in all cases. On the other hand, regarding the measures of quantum correlations used in our studies, we found that in general their behavior does not follow the standard quantum discord D . As the quantification by means of standard quantum discord and the measures of quantum correlations introduced in this work depends upon the assumption that total correlations are additive, our results indicate that this property needs a deeper and systematic study in order to gain a further understanding regarding the possibility to obtain reliable quantifiers of quantum correlations within this additive scheme.
A Comparative Assessment of Graphic and 0–10 Rating Scales Used to Measure Entrepreneurial Competences
Authors: Vall-Llosera Laura , Linares-Mustarós Salvador , Bikfalvi Andrea , Coenders Germà
Published: February 2020

This article presents an empirical comparative assessment of the measurement quality of two instruments commonly used to measure fuzzy characteristics in computer-assisted questionnaires: a graphic scale (a line production scale using a slider bar) and an endecanary scale (a 0–10 rating scale using radio buttons). Data are analyzed by means of multitrait–multimethod models estimated as structural equation models with a mean and covariance structure. For the first time in such research, the results include bias, valid variance, method variance, and random error variance. The data are taken from a program that assesses entrepreneurial competences in undergraduate Economics and Business students by means of questionnaires administered on desktop computers. Neither of the measurement instruments was found to be biased with respect to the other, meaning that their scores are comparable. While both instruments achieve valid and reliable measurements, the reliability and validity are higher for the endecanary scale. This study contributes to the still scarce literature on fuzzy measurement instruments and on the comparability and relative merits of graphic and discrete rating scales on computer-assisted questionnaires.
Cantor Waves for Signorini Hyperelastic Materials with Cylindrical Symmetry
Authors: Cattani Carlo
Published: February 2020

In this paper, local fractional cylindrical wave solutions on Signorini hyperelastic materials are studied. In particular, we focus on the so-called Signorini potential. Cantor-type cylindrical coordinates are used to analyze, both from dynamical and geometrical point of view, wave solutions, so that the nonlinear fundamental equations of the fractional model are explicitly given. In the special case of linear approximation we explicitly compute the fractional wave profile.
Comparison of Single-Ion Conducting Polymer Gel Electrolytes for Sodium, Potassium, and Calcium Batteries: Influence of Polymer Chemistry, Cation Identity, Charge Density, and Solvent on Conductivity
Authors: Ford Hunter , Cui Chuanchuan , Schaefer Jennifer
Published: February 2020

From the standpoint of material diversification and sustainability, the development of so-called “beyond lithium-ion” battery chemistries is important for the future of energy storage. Na, K, and Ca are promising as the basis for battery chemistries in that these elements are highly abundant. Here, a series of single-ion conducting polymer electrolytes (SIPEs) for Na, K, and Ca batteries are synthesized and investigated. The two classes of metal cation neutralized SIPEs compared are crosslinked poly(ethylene glycol) dimethacrylate-x-styrene sulfonate (PEGDMA-SS) and poly(tetrahydrofuran) diacrylate-x-4-styrenesulfonyl (trifluoromethylsulfonyl)imide (PTHFDA-STFSI); three cation types, three charge densities, and four swelling states are examined. The impact on conductivity of all of these parameters is studied, and in conjunction with small angle X-ray scattering (SAXS), it is found that promoting ion dissociation and preventing the formation of dense ionic aggregates facilitates ion transport. These results indicate many of the lessons learned from the Li SIPE literature can be translated to beyond Li chemistries. At 25 °C, the best performing Na/K and Ca exchanged polymers yield active cation conductivity on the order of 10−4 S/cm and 10−6 S/cm, respectively, for ethylene carbonate:propylene carbonate gelled SIPEs, and 10−5 S/cm and 10−7 S/cm, respectively, for glyme gelled SIPEs.