bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Pusat Pelayanan Kegiatan Minapolitan
Authors: Sari Dewi Purnama
Published: May 2020

Tabalong Regency based on Regional spatial Plan (RTRW) of South Kalimantan Regency 2014-2034 has the potential to be developed into a Minapolitan region. In principle, Minapolitan is a fishery program that seeks to synergize the production of raw materials, processing and marketing in a series of major activities in one area or region with the concept of involving the entire community in It. With the increase in the population of Tabalong Regency, it makes the need to increase the facilities available in the area as a factor in driving service and activities of fisheries by looking at the area that is the center of growth For the area that has a level of facilities that have a lack of the hierarchy in each district by conducting a system analysis of service center with the results of which 12 sub-districts that have the Minapolitan activities of Tanjung District become The centre of Minapolitan activities with Murung Pudak Sub-district became its sub-center of activities. With other sub-districts as a supporting area of Minapolitan activities.

Keyword: Marketing, Minapolitan, Production
Kajian Beban Emisi Pencemar Udara (NOx, CO, HC, PM10, SO2, CO2) Sektor Transportasi Darat Di Lingkungan Institut Teknologi Kalimantan Berdasarkan Jam Sibuk Dengan Metode Tier 2
Authors: Rahendaputri Chandra Suryani , Maria Madah , Fausia Rizkina Nurul
Published: May 2020

Kajian beban emisi telah dilaksanakan di lingkungan Institut Teknologi Kalimantan (ITK) dalam kurun waktu satu hari. Perhitungan beban emisi CO, NOx, PM10, SO2, HC dihitung menggunakan metode TIER 2, yaitu dengan  cara menghitung perjalanan rerata kendaraan, atau Vehicle Kilometer Traveled (VKT) dan kemudian dikalikan dengan faktor emisi masing-masing jenis pencemar untuk tiap jenis kendaraan berbeda. Sedangkan untuk pencemar CO2 menggunakan metode perhitungan jumlah konsumsi bahan bakar dikalikan dengan faktor emisi.  Setelah perhitungan didapatkan bahwa jenis kendaraan yang mendominasi adalah sepeda motor. Emisi terbesar terjadi pada pukul 09.30-10.30 yaitu pada jam peralihan perkuliahan sesi 1 dan sesi 2, yang dapat diidentifikasi sebagai jam sibuk. Emisi pencemar terbesar adalah CO2 yaitu sebesar 248.31 Kg/hari diikuti oleh CO sebesar 41.53 Kg/hari. Pencemar udara yang paling sedikit diemisikan adalah SO2 yaitu hanya sebesar 0.028 Kg/hari. Pencemar lainnya yaitu NOx sebesar 0.986 Kg/hari dan PM10 sebesar 0.656 Kg/hari. Dominasi emisi sepeda motor terlihat jelas pada pencemar CO, HC dan CO2, sedangkan pada pencemar lainnya, mobil bensin maupun solar juga berperan dalam mengemisikan pencemar tersebut.
Classification of Intrusion using Artificial Neural Network with GWO
Authors:   M.Tech Scholar, Department of Computer Science and Engineering,Guru Jambheshwar University of Science &Technology,Hisar, India, Kaur Gurbani , Kumar Dharmender ,   Professor, Department of Computer Science and Engineering,Guru Jambheshwar University of Science & Technology, Hisar, India
Published: May 2020

In the present milieu of connected world, where security is the major concern, Intrusion Detection System is the prominent area of research to deal with various types of attacks in network. Intrusion detection systems (IDS) finds the dynamic and malicious traffic of network, in accordance to the aspect of network. Various form of IDS has been developed working on distinctive approaches. One popular approach is machine learning in which various algorithms like ANN, SVM etc. have been used. But the most prominent method used is ANN. The performance of the ANN can significantly be improved by combining it with different metaheuristic algorithms. In present work, GWO is used to optimize ANN. For this KDD-99 data-set is used to classify various types of attacks i.e. denial of service (DOS), normal and other form of attack. The present paper provides detailed analysis of the performance of Artificial Neural Network and optimized Artificial Neural Network with GA, PSO and GWO. The research shows that ANN with GWO outperform as compared to others (ANN, ANN with PSO and ANN with GA).
For God’s Sake: Religion and Study Abroad
Authors: Elliott Timothy Lynn , Hyndman III William T. , Larkin Nora , Scarboro Donna , Woolf Michael
Published: May 2020

The editors believe that religion, while an area of discussion not often at the center of study abroad, deserves to be more comprehensively included. Neglecting it can result in at least three significant problems. It raises questions about our commitment to inclusivity in study abroad; it results in significant missed educational opportunities as students observe the “foreign” culture into which study abroad drops them, and it leaves a gap in academic work related to the cultural experience of a people.
O Curso De Matemática Da Faculdade De Filosofia, Ciências E Letras De Belém (1955-1957)
Authors: Rodrigues dos Santos Janes Kened , Alencar Alves José Jerônimo de
Published: May 2020

Este artigo, de viés historiográfico, tem como objetivo analisar as condições que possibilitaram a implantação do Curso de Bacharelado em Matemática da Faculdade de Filosofia, Ciências e Letras, situada em Belém do Pará. Pretendemos mostrar as características diferenciadas dessa instituição de ensino, o contexto de implantação na localidade que não tinha o ensino de nível superior especializado em áreas  de conhecimento favorecendo à formação de professores, os fatores que contribuíram para o Curso de Matemática fazer parte do contexto social educacional.  Concluímos que uma das principais características do Curso em questão foram os conteúdos dos assuntos ensinados serem centrados na Matemática ou Física, essa última ocupava um espaço significativo no currículo. Quanto às condições que o possibilitaram à Criação do Curso, elas foram favorecidas pela existência de uma elite letrada local que contribuiu para o início e funcionamento das atividades de ensino da Faculdade. Além disso, havia a valorização e difusão dos saberes dessas áreas de conhecimento na cultura local, evidenciado no currículo dos cursos superiores nos quais os docentes do Curso de Matemática foram formados e na atuação deles como professores das matérias de física e de matemática nas escolas secundárias localizadas em Belém.
ANALISIS STRATEGI BERSAING DAN STRATEGI BERTAHAN PADA INDUSTRI MIKRO DAN KECIL PANGANAN KERIPIK KEMASAN DI KECAMATAN COBLONG KOTA BANDUNG JAWA BARAT TAHUN 2020 DITENGAH SITUASI SULIT PENYEBARAN PANDEMI nCoV-19
Authors: Yanto Arief , Sukanta Tuntun
Published: May 2020

Penelitian ini bertujuan untuk mengetahui dan menganalisis strategi bersaing dan strategi bertahan pada usaha mikro dan kecil panganan keripik kemasan di kecamatan coblong, Kota Bandung tahun 2020. Data yang digunakan merupakan data primer dan sekunder. Data primer diperoleh dari hasil survei lapangan dan wawancara, sedangkan data sekunder dari lembaga atau instansi terkait seperti Dinas Perindustrian dan Perdagangan, Badan Pusat Statistik serta Paguyuban ABDSI Korwil Jabar yang berada di sentra industri Panganan Keripik Kemasan. Alat analisis yang digunakan untuk strategi bersaing adalah dengan Teori Lima Kekuatan Persaingan dari Porter (1980). Sedangkan untuk analisis deskriptif digunakan untuk menganalisis strategi bertahan pada usaha mikro dan kecil produsen Panganan Keripik Kemasan.  Berdasarkan pendekatan metode Lima Kekuatan Persaingan dari Porter (1980), produsen keripik mampu bersaing dengan harga, pengembangan produk, promosi, dan distribusi produk. Strategi Bertahan produsen Panganan Keripik Kemasan adalah dengan adanya model dari porter dari strategi bersaing, produsen mampu bertahan dari persaingan antar produsen keripik yang lebih besar karena strategi bertahan yang digunakan oleh produsen yaitu harga yang terjangkau bagi para konsumen.
A Graph-Theoretic Approach to Wilf's Conjecture
Authors: Eliahou Shalom
Published: May 2020

Let $S \subseteq \mathbb{N}$ be a numerical semigroup with multiplicity $m = \min(S \setminus \{0\})$ and conductor $c=\max(\mathbb{N} \setminus S)+1$. Let $P$ be the set of primitive elements of $S$, and let $L$ be the set of elements of $S$ which are smaller than $c$. A longstanding open question by Wilf in 1978 asks whether the inequality $|P||L| \ge c$ always holds. Among many partial results, Wilf's conjecture has been shown to hold in case $|P| \ge m/2$ by Sammartano in 2012. Using graph theory in an essential way, we extend the verification of Wilf's conjecture to the case $|P| \ge m/3$. This case covers more than $99.999\%$ of numerical semigroups of genus $g \le 45$.
24-Hour Proteinuria Weakly Correlated with Estimated Glomerular Filtration Rate in Lupus Nephritis Patients
Authors: Praptama Suhendra , Aini Yulia Hayatul , Ghozali Mohammad , Hamijoyo Laniyati
Published: May 2020

Background: Lupus Nephritis (LN) is still the most frequent complication in Systemic Lupus Erythematous (SLE) patients which causing the major and significance morbidity and mortality. Proteinuria and Glomerular Filtration Rate (GFR) serves as objective and routine examinations to assessrenal function. 24-hour proteinuria still regarded as gold standard to quantify amount protein in urine. Estimated GFR (eGFR) is preferably used due its convenient. On the hand, estimated GFR (eGFR) is preferably used due its convenient. However, both of them should be measured in order to determine renal progression and prognosis. Only few studies have been conducted to find out the correlation between 24-hour proteinuria and eGFR in lupus nephritis patients as both of them serve as potential marker in progression of renal involvement. Thisstudy addressed to find out correlation between 24-hour proteinuria and eGFR in lupus nephritis patients.Method: Analytic-correlation study with cross-sectional approach at Dr. Hasan Sadikin Hospital, Bandung was done. Secondary data was used and paralleled with previous study entitled “Correlation of Random Urine Protein Creatinine (P-C) Ratio with 24-Hour Protein Urinein Lupus Nephritis Patients” carried out from October to December 2014.Correlation coefficient was analyzed by Spearmans’ correlation test.Results: Forty five samples were obtained based on inclusion criteria. Spearmans’ correlation test revealed non significant and very weak correlation between 24-hour proteinuria and eGFR (r=-0.095) with p>0.05.Conclusion: The 24-hour proteinuria and eGFR are weakly correlated. Despite the weak  correlation, these examinationsshould be considered as important markers to monitor prognosis of renal involvement in lupus nephritis patients Keywords: Estimated glomerular filtration rate (eGFR),Lupus Nephritis (LN), Proteinuria, Systemic Lupus Erythematosus (SLE).
Trabalhadores camponeses migrantes
Authors: Menezes Marilda Aparecida de
Published: May 2020

Sem resumo.
Modelling and Simulation of Integrated Topology of DC/DC converter for LED Driver Circuit
Authors: Agrawal Deepak , Karn Rajneesh Kumar , Verma Deepak , Agrawal Rakeshwri
Published: May 2020

With the increase in technological advancements and impetus to work for the reduction of electrical energy consumption among different types of consumers, there is a primary need to take into account all forms of energy efficiency improvement methods available for electric and electronic equipment been used. It has been noticed that in commercial lighting, in terms of efficiency light-lamps based on light-emitting diodes(LEDs) are far better as compared to those where traditional high pressure sodium (HPS) lamps which are still in use in major underdeveloped and developing areas worldwide in specifically street lighting. The LED have numerous advantages such as high luminous efficiency, life span and it has no mercury in its composition. Therefore, recently researchers of this area has been setting a goal to utilize LED as a good alternative to save electricity from major parts of this planet. In this paper simulation of LED driver circuit is presented to utilize the 12 V LED lighting strip which has been used in Indian hawkers/small shopkeepers since a long time.
Pembangunan Aplikasi Pengukur Ketinggian Benda Berbasis Android dengan Menggunakan Metode Trigonometri
Authors: Mauluddin Amras , Supriadi Irwin
Published: May 2020

Saat ini kita mengenal dua cara untuk mengukur ketinggian benda. Cara pertama adalah menggunakan busur dan tape measure. Busur digunakan untuk menghitung besar sudut, kemudian tape measure digunakan untuk menghitung jarak antara titik sudut  dan benda yang diukur. Sedangkan cara yang kedua adalah menggunakan alat yang disebut dengan thedolit. Hasil pengukuran dengan cara kedua ini lebih akurat dibandingkan dengan cara pertama. Hal ini dikarenakan thedolit memiliki tingkat ketelitian yang baik. Namun kedua cara pengukuran tersubut memiliki beberapa kelemahan, yakni cara pertama memerlukan ketelitian yang cermat saat menghitung sudut dan cara yang kedua memiliki kelemahan dalam hal biaya.

Untuk dapat menutupi kelemahan tersebut, maka dibuatlah sebuah Aplikasi pengukur ketinggian berbasis android. Penggunaan aplikasi ini cukup sederhana dan tidak memerlukan biaya. Sehingga diharapkan Aplikasi ini dapat menjadi solusi yang lebih efektif dan efisien.

Aplikasi pengukur ketinggian benda ini penulis namakan dengan Simple Measure. Perangkat ini dibangun dengan menggunakan bahasa pemograman JAVA. Metode pengukuran yang digunakan adalah trigonometri. Selain itu juga SensorFusion digunakan sebagai library untuk mendeteksi sudut kemiringan.
Sistem Informasi Geografi Daerah Potensi Kekeringan Menggunakan Fuzzy Inferensi Sistem
Authors: Chairuddin  , Nurafni Sevi
Published: May 2020

Kekeringan merupakan salah satu bencana alam yang frekuensi kejadiannya tinggi (hampir setiap tahun). Daerah potensi kekeringan perlu diprediksi agar dapat mengurangi kerugian-kerugian yang tidak hanya pada sektor pertanian dan lingkungan hidup tetapi juga berdampak negatif pada sektor sosial dan ekonomi bahkan dapat mengganggu stabilitas politik.

            Dalam pengolahan peta digital untuk sistem informasi geografis (SIG), seringkali ditemukan objek-objek penting yang tidak tepat dalam pengolahannya bahkan tidak dapat dilibatkan karena faktor ketidakpastian yang dimiliki oleh objek tersebut. Objek yang memiliki ketidakpastian berhubungan dengan data yang tidak dapat dinyatakan hanya dalam dua kondisi saja, yaitu kondisi ”ya” atau kondisi ”tidak”. Salah satu solusi yang ditawarkan dalam mengatasi keterlibatan objek yang memiliki ketidakpastian di dalam SIG adalah dengan menggunakan sistem inferensi fuzzy (SIF) metode Tsukamoto. Data yang memiliki ketidakpastian yang diangkat dalam penelitian ini adalah data non-spasial berupa faktor-faktor penentu daerah potensi kekeringan pada wilayah Nusa Tenggara Timur

            Sistem infrensi fuzzy dapat dijadikan sebagai salah satu solusi dalam pembuatan peta digital yang melibatkan sejumlah data yang bersifat tidak pasti. Output yang diharapkan dari penelitian ini adalah peta yang memberikan informasi tentang daerah rawan demam berdarah berdasarkan warna yang ditentukan dengan nilai yang diperoleh dari proses inferensi fuzzy.
Machine Learning Diagnosis Kanker Payudara Menggunakan Algoritma Support Vector Machine
Authors: Chazar Chalifa , Erawan Bagus
Published: May 2020

Kanker payudara merupakan penyebab kematian nomor dua pada wanita. Penyakit ini sulit dideteksi pada fase awal. Akan tetapi, kebanyakan penderita baru mengetahui kondisinya setelah memasuki fase tertentu dalam kondisi yang parah dan sulit disembuhkan. Salah satu bentuk pemeriksaan untuk mendiagnosis penyakit kanker payudara adalah dengan melakukan biopsi. Biopsi adalah teknik pemeriksaan yang dilakukan dengan mengambil cairan di payudara menggunakan Fine Needle Aspiration (FNA), selanjutnya hasil biopsi FNA akan diperiksa lagi di laboratorium untuk mendapatkan hasil diagnosis. Untuk mendapatkan hasil yang akurat dari proses biopsi dibutuhkan waktu yang lama. Machine Learning (ML) dapat digunakan untuk mencari dan menemukan pola  yang unik dari sekumpulan data. Algoritma Support Vector Machine (SVM) dipilih karena algoritma ini mampu mengklasifikasikan nilai ke dalam kelas-kelas tertentu. Algoritma SVM juga memiliki tingkat akurasi yang lebih tinggi dibandingkan dengan algoritma lainnya. Penelitian ini bertujuan untuk membangun aplikasi ML yang dapat mendiagnosis penyakit kanker payudara dengan menggunakan Algoritma SVM untuk mencari pola data dari sekumpulan data masa lalu untuk menghasilkan hasil diagnosis yang akurat. Hasil dari penelitian ini menunjukan bahwa Algoritma SVM pada ML dapat digunkan untuk mencari suatu pola data dari sekumpulan data masa lalu yang dapat menghasilkan prediksi untuk menentukan sel hidup kanker payudara bersifat ganas atau jinak.
Efectividad de las tecnologías de la información y comunicación en la adherencia terapéutica de pacientes con Hipertensión Arterial y Diabetes Mellitus
Authors: González-Ruiz Diana Patricia , Getial-Mora Daniela Alejandra , Higidio-Miranda María Alejandra , Hernández-Zambrano Sandra Milena
Published: May 2020

Introducción: La hipertensión arterial y la diabetes mellitus son dos de las principales causas de morbimortalidad, siendo las precursoras de la enfermedad renal crónica, catalogándose como un problema de salud pública que afecta a uno de cada diez adultos en el mundo. La falta de cumplimiento al tratamiento es la mayor causa de fracaso en los programas de promoción y prevención, con esta revisión sistemática se busca aportar a los profesionales de enfermería evidencia científica a través del uso de las tecnologías de la información y la comunicación que permitan mejorar la adherencia terapéutica. Objetivo: Identificar la efectividad de las tecnologías de la información y la comunicación en la adherencia terapéutica en personas con Hipertensión Arterial y Diabetes Mellitus. Material y Método. Se realizó una revisión sistemática de literatura en las bases de datos CUIDEN, CINAHL, COCHRANE, LILACS, PUBMED y OVID NURSING. Después de aplicar filtros de selección y listas de verificacion de calidad metodológica se obtuvieron 18 artículos para análisis, 12 ensayos clínicos aleatorizados, 3 estudios cuasi-experimentales y 3 revisiones sistemáticas. Se clasificó el nivel de evidencia de los estudios según el instituto Joanna Briggs. Resultados. Se establecieron 3 categorías: Intervenciones unicomponente, intervenciones multicomponente y rol de enfermería en el uso de TICs para favorecer la adherencia. Conclusiones. Dentro del cuidado de la salud actualmente hay hallazgos iniciales que apoyan la efectividad del uso de las tecnologías de la información y la comunicación convirtiéndola en una herramienta que favorece la adherencia al tratamiento en pacientes con hipertensión arterial y diabetes mellitus.
Faktor-Faktor Yang Memengaruhi Perilaku Perawat Dalam Pemilahan Limbah Medis Di RS Al Islam Bandung
Authors: Asriningrum Surdiyah
Published: May 2020

Pemilahan limbah medis di RS Al Islam Bandung belum dapatdilaksanakan sepenuhnya, hal ini berdasarkan dari hasil nilai kepatuhandalam pemilahan limbah pada tahun 2016 yang dilakukan oleh BidangRumah Tangga dan PSPPRS (Pemeliharaan Sarana dan Prasarana danPeralatan Rumah Sakit) diperoleh nilai 88,37%. Penelitian ini bertujuanuntuk mengetahui, mendeskripsikan dan menganalisis pengaruh niat,dukungan sosial, informasi kesehatan atau fasilitas kesehatan, otonomipribadi dan situasi untuk bertindak secara simultan terhadap perilakuperawat. Populasi dalam penelitian ini adalah 465 perawat, dengan 40sampel menggunakan teknik proporsional random sampling. Instrumenpengumpulan data menggunakan pertanyaan dengan skala likert dariberbagai teori dan membentuknya menjadi variabel operasi, instrumentersebut memakai validitas dan realibilitas yang dapat diandalkansehingga membentuk instrumen asli. Hasil analisis statistik menunjukkanbahwa korelasi antara niat (X1) = -11%, dukungan sosial (X2) = 0,31%,informasi kesehatan atau fasilitas kesehatan (X3) = 1,1%, otonomipribadi (X4) = -0,01% dan situasi untuk bertindak (X5) = 0,003%,variabel tersebut memiliki hubungan yang positif dalam mempengaruhiperubahan perilaku perawat
The Most Metal-poor Stars in Omega Centauri (NGC 5139)*
Authors: Johnson Christian I. , Dupree Andrea K. , Mateo Mario , Bailey John I. , Olszewski Edward W. , Walker Matthew G.
Published: May 2020

The most massive and complex globular clusters in the Galaxy are thought to have originated as the nuclear cores of now tidally disrupted dwarf galaxies, but the connection between globular clusters and dwarf galaxies is tenuous with the M54/Sagittarius system representing the only unambiguous link. The globular cluster Omega Centauri (ω Cen) is more massive and chemically diverse than M 54, and is thought to have been the nuclear star cluster of either the Sequoia or Gaia-Enceladus galaxy. Local Group dwarf galaxies with masses equivalent to these systems often host significant populations of very metal-poor stars ([Fe/H] < −2.5), and one might expect to find such objects in ω Cen. Using high-resolution spectra from Magellan-M2FS, we detected 11 stars in a targeted sample of 395 that have [Fe/H] ranging from −2.30 to −2.52. These are the most metal-poor stars discovered in the cluster, and are five times more metal-poor than ω Cen’s dominant population. However, these stars are not so metal-poor as to be unambiguously linked to a dwarf galaxy origin. The cluster’s metal-poor tail appears to contain two populations near [Fe/H] ∼ −2.1 and −2.4, which are very centrally concentrated but do not exhibit any peculiar kinematic signatures. Several possible origins for these stars are discussed.
Two Transiting Hot Jupiters from the WASP Survey: WASP-150b and WASP-176b
Authors: Cooke Benjamin F. , Pollacco Don , Almleaky Y. , Barkaoui K. , Benkhaldoun Z. , Blake James A. , Bouchy François , Boumis Panos , Brown D. J. A. , Bruni Ivan , Burdanov A. , Cameron Andrew Collier , Chote Paul , Daassou A. , D’ago Giuseppe , Dalal Shweta , Damasso Mario , Delrez L. , Doyle A. P. , Ducrot E. , Gillon M. , Hébrard G. , Hellier C. , Henning Thomas , Jehin E. , Kiefer Flavien , King George W. , Liakos Alexios , Lopez Théo , Mancini Luigi , Mardling Rosemary , Maxted P. F. L. , McCormac James , Murray C. , Nielsen Louise D. , Osborn Hugh , Palle E. , Pepe Francesco , Pozuelos F. J. , Prieto-Arranz J. , Queloz D. , Schanche Nicole , Ségransan Damien , Smalley Barry , Southworth John , Thompson S. , Turner Oliver , Udry Stéphane , Velasco S. , West Richard , Wheatley Pete , Alikakos John
Published: May 2020

We report the discovery of two transiting exoplanets from the WASP survey, WASP-150b and WASP-176b. WASP-150b is an eccentric (e = 0.38) hot Jupiter on a 5.6 day orbit around a V = 12.03, F8 main-sequence host. The host star has a mass and radius of 1.4

and 1.7

respectively. WASP-150b has a mass and radius of 8.5

and 1.1 R
J, leading to a large planetary bulk density of 6.4 ρ
J. WASP-150b is found to be ∼3 Gyr old, well below its circularization timescale, supporting the eccentric nature of the planet. WASP-176b is a hot Jupiter planet on a 3.9 day orbit around a V = 12.01, F9 sub-giant host. The host star has a mass and radius of 1.3 M
⊙ and 1.9 R
⊙. WASP-176b has a mass and radius of 0.86 M
J and 1.5 R
J, respectively, leading to a planetary bulk density of 0.23 ρ
J.
OGLE-2018-BLG-0677Lb: A Super-Earth Near the Galactic Bulge
Authors: Herrera-Martín Antonio , Albrow M. D. , Udalski A. , Gould A. , Ryu Y.-H. , Yee J. C. , Chung S.-J. , Han C. , Hwang K.-H. , Jung Y. K. , Lee C.-U. , Shin I.-G. , Shvartzvald Y. , Zang W. , Cha S.-M. , Kim D.-J. , Kim H.-W. , Kim S.-L. , Lee D.-J. , Lee Y. , Park B.-G. , Pogge R. W. ,   (KMTNet Collaboration), Szymański M. K. , Mróz P. , Skowron J. , Poleski R. , Soszyński I. , Kozłowski S. , Pietrukowicz P. , Ulaczyk K. , Rybicki K. , Iwanek P. , Wrona M. ,   (OGLE Collaboration)
Published: May 2020

We report the analysis of the microlensing event OGLE-2018-BLG-0677. A small feature in the light curve of the event leads to the discovery that the lens is a star–planet system. Although there are two degenerate solutions that could not be distinguished for this event, both lead to a similar planet-host mass ratio. We perform a Bayesian analysis based on a Galactic model to obtain the properties of the system and find that the planet corresponds to a super-Earth/sub-Neptune with a mass of

. The host star has a mass of

. The projected separation for the inner and outer solutions are

au and

au respectively. At

, this is by far the lowest Δχ
2 for any securely detected microlensing planet to date, a feature that is closely connected to the fact that it is detected primarily via a “dip” rather than a “bump.”
A Method for the Estimation of f- and p-mode Parameters and Rotational Splitting Coefficients from Un-averaged Solar Oscillation Power Spectra
Authors: Reiter J. , Rhodes E. J. , Kosovichev A. G. , Scherrer P. H. , Larson T. P. , II S. F. Pinkerton
Published: May 2020

We present a new methodology for the fitting of the peaks in solar oscillation power spectra that is equally well-suited for the estimation of low-, medium, and high-degree f- and p-mode parameters and frequency-splitting coefficients. The method can provide accurate input data over a wide portion of the dispersion plane for both structural and rotational inversions. This method, which we call the Multiple-Peak, Tesseral-Spectrum (MPTS) method, operates directly upon of all of the modes in a multiplet (n, l) of radial order n and degree l, and employs a fitting profile that consists of the sum of numerous individual overlapping profiles whose relative amplitudes are determined by the leakage matrix appropriate to the targeted mode. Hence, 2l + 1 sets of modal parameters are obtained simultaneously for each multiplet (n, l). By fitting an appropriate polynomial to the run of the fitted frequencies versus the azimuthal order, frequency-splitting coefficients are also obtained for the same multiplet. Using power spectra obtained from the 66 day long 2010 MDI Dynamics Run, we present sample structural and rotational inversions that employed frequencies and frequency-splitting coefficients from modes in the degree range of 0–1000 and the frequency range of 965–4600 μHz. The structural inversion confirms evidence for a pronounced departure of the sound speed in the outer solar convection zone from the radial sound-speed profile contained in Model S of Christensen-Dalsgaard and his collaborators that we obtained previously using a different fitting method.
Using Transverse Waves to Probe the Plasma Conditions at the Base of the Solar Wind
Authors: Weberg Micah J. , Morton Richard J. , McLaughlin James A.
Published: May 2020

It has long been suggested that magnetohydrodynamic (MHD) waves may supply a significant proportion of the energy required to heat the corona and accelerate the solar wind. Depending on the properties of the local plasma, MHD wave modes may exhibit themselves as a variety of incompressible, transverse waves. The local magnetic field and particle density influence the properties of these waves (e.g., amplitude), thus direct measurements of transverse waves provide a mechanism to indirectly probe the local plasma conditions. We present the first statistical approach to magnetoseismology of a localized region of the solar corona, analyzing transverse waves above the south polar coronal hole on 2011 May 23. Automated methods are utilized to examine 4 hr of EUV imaging data to study how the waves evolve as a function of height (i.e., altitude) through the low corona. Between heights of 15 and 35 Mm, we find that the measured wave periods are approximately constant, and that observed displacement and velocity amplitudes increase at rates that are consistent with undamped waves. This enables us to derive a relative density profile for the coronal hole environment in question, without the use of spectroscopic data. Furthermore, our results indicate that between 5 and 15 Mm above the limb, the relative density is larger than that expected from 1D hydrostatic models, and signals a more extended transition region with a gradual change in density. This has implications for self-consistent models of wave propagation from the photosphere to the corona and beyond.
The Nature of Ultra-diffuse Galaxies in Distant Massive Galaxy Clusters: A370 in the Hubble Frontier Fields
Authors: Lee Jeong Hwan , Kang Jisu , Lee Myung Gyoon , Jang In Sung
Published: May 2020

We report the discovery of ultra-diffuse galaxies (UDGs) in Abell 370 (A370; z = 0.375). We find 46 UDGs in A370 from the images of the Hubble Frontier Fields. Most UDGs are low-luminosity red sequence galaxies, while a few of them are blue UDGs. We estimate the abundance of UDGs in A370, N(UDG) = 644 ± 104. Combining these results with those of Abell S1063 (z = 0.348) and Abell 2744 (z = 0.308), we derive a mean radial number density profile of UDGs in the three clusters. The number density profiles of UDGs and bright galaxies show a discrepancy in the central region of the clusters: the profile of UDGs shows a flattening as clustercentric distance decreases, while that of bright galaxies shows a continuous increase. This implies that UDGs are prone to disruption in the central region of the clusters. The relation between the abundance of UDGs and virial masses of their host systems is described by a power law with an index of nearly one:

for M
200 > 1013
M
⊙. We estimate approximately dynamical masses of UDGs using the fundamental manifold method and find that most UDGs have dwarf-like masses (M
200 < 1011
M
⊙). This implies that most UDGs have a dwarf-like origin and a small number of them could be failed L* galaxies. These results suggest that multiple origins may contribute to the formation and evolution of UDGs in massive galaxy clusters.
Three-dimensional Kinematic Reconstruction of the Optically Emitting, High-velocity, Oxygen-rich Ejecta of Supernova Remnant N132D
Authors: Law Charles J. , Milisavljevic Dan , Patnaude Daniel J. , Plucinsky Paul P. , Gladders Michael D. , Schmidt Judy , Sravan Niharika , Banovetz John , Sano Hidetoshi , McGraw Jordan M. , Takahashi George , Orlando Salvatore
Published: May 2020

We present a three-dimensional kinematic reconstruction of the optically emitting, oxygen-rich ejecta of supernova remnant N132D in the Large Magellanic Cloud (LMC). Data were obtained with the 6.5 m Magellan telescope in combination with the IMACS+GISMO instrument and survey [O iii] λλ4959, 5007 line emission in a ∼3′ × 3′ region centered on N132D. The spatial and spectral resolutions of our data enable detailed examination of the optical ejecta structure. The majority of N132D’s optically bright oxygen ejecta are arranged in a torus-like geometry tilted approximately 28° with respect to the plane of the sky. The torus has a radius of 4.4 pc (D
LMC/50 kpc), exhibits a blueshifted radial velocity asymmetry of −3000 to +2300 km s−1, and has a conspicuous break in its circumference. Assuming homologous expansion from the geometric center of O-rich filaments, the average expansion velocity of 1745 km s−1 translates to an age since explosion of 2450 ± 195 yr. A faint, spatially separated “runaway knot” (RK) with total space velocity of 3650 km s−1 is nearly perpendicular to the torus plane and coincident with X-ray emission that is substantially enhanced in Si relative to the LMC and N132D’s bulk ejecta. These kinematic and chemical signatures suggest that the RK may have had its origin deep within the progenitor star. Overall, the main-shell morphology and high-velocity, Si-enriched components of N132D have remarkable similarity with those of Cassiopeia A, which was the result of a Type IIb supernova explosion. Our results underscore the need for further observations and simulations that can robustly reconcile whether the observed morphology is dominated by explosion dynamics or shaped by interaction with the environment.
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network
Authors: Liu Hao , Xu Yan , Wang Jiasheng , Jing Ju , Liu Chang , Wang Jason T. L. , Wang Haimin
Published: May 2020

We propose a new machine-learning approach to Stokes inversion based on a convolutional neural network (CNN) and the Milne–Eddington (ME) method. The Stokes measurements used in this study were taken by the Near InfraRed Imaging Spectropolarimeter (NIRIS) on the 1.6 m Goode Solar Telescope (GST) at the Big Bear Solar Observatory. By learning the latent patterns in the training data prepared by the physics-based ME tool, the proposed CNN method is able to infer vector magnetic fields from the Stokes profiles of GST/NIRIS. Experimental results show that our CNN method produces smoother and cleaner magnetic maps than the widely used ME method. Furthermore, the CNN method is four to six times faster than the ME method and able to produce vector magnetic fields in nearly real time, which is essential to space weather forecasting. Specifically, it takes ∼50 s for the CNN method to process an image of 720 × 720 pixels comprising Stokes profiles of GST/NIRIS. Finally, the CNN-inferred results are highly correlated to the ME-calculated results and closer to the ME’s results with the Pearson product-moment correlation coefficient (PPMCC) being closer to 1, on average, than those from other machine-learning algorithms, such as multiple support vector regression and multilayer perceptrons (MLP). In particular, the CNN method outperforms the current best machine-learning method (MLP) by 2.6%, on average, in PPMCC according to our experimental study. Thus, the proposed physics-assisted deep learning–based CNN tool can be considered as an alternative, efficient method for Stokes inversion for high-resolution polarimetric observations obtained by GST/NIRIS.
Extended Calculations of Energy Levels and Transition Rates for Singly Ionized Lanthanide Elements. I. Pr–Gd
Authors: Radžiūtė Laima , Gaigalas Gediminas , Kato Daiji , Rynkun Pavel , Tanaka Masaomi
Published: May 2020

Lanthanide elements play important roles as an opacity source in the ejected material from neutron star mergers. Accurate and complete atomic data are necessary to evaluate the opacities and to analyze the observed data. In this paper, we perform extended, ab initio atomic calculations from Pr ii (Z = 59) to Gd ii (Z = 64). By using multiconfiguration Dirac–Hartree–Fock and relativistic configuration-interaction methods, implemented in the general-purpose relativistic atomic structure package (GRASP2K), we calculate the energy levels and transition data of electric dipole transitions. These computations are based on strategies (with small variations) of Nd ii published by Gaigalas et al. Accuracy of data is evaluated by comparing computed energy levels with the National Institute of Standards and Technology (NIST) database or other works. For the energy levels, we obtain the average relative accuracy of 8%, 12%, 6%, 8%, and 7% for Pr ii, Pm ii, Sm ii, Eu ii, and Gd ii ions, respectively, as compared with the NIST data. Accuracy of energy transfer to the wavelength is 3%, 14%, and 11% for Pr ii, Eu ii, and Gd ii. Our computed E1 type transition probabilities are in good agreement with experimental values presented by other authors especially for strong transitions.
Evolutionary Models for 43 Galactic Supernova Remnants with Distances and X-Ray Spectra
Authors: Leahy D. A. , Ranasinghe S. , Gelowitz M.
Published: May 2020

The X-ray emission from a supernova remnant (SNR) is a powerful diagnostic of the state of the shocked plasma. The temperature (kT) and the emission measure (EM) of the shocked gas are related to the energy of the explosion, the age of the SNR, and the density of the surrounding medium. Progress in X-ray observations of SNRs has resulted in a significant sample of Galactic SNRs with measured kT and EM values. We apply spherically symmetric SNR evolution models to a new set of 43 SNRs to estimate ages, explosion energies, and circumstellar medium densities. The distribution of ages yields an SNR birth rate. The energies and densities are well fit with lognormal distributions, with wide dispersions. SNRs with two emission components are used to distinguish between SNR models with uniform interstellar medium and with stellar wind environment. We find Type Ia SNRs to be consistent with a stellar wind environment. Inclusion of stellar wind SNR models has a significant effect on estimated lifetimes and explosion energies of SNRs. This reduces the discrepancy between the estimated SNR birth rate and the SN rate of the Galaxy.
ALMA Observations of Massive Clouds in the Central Molecular Zone: Jeans Fragmentation and Cluster Formation
Authors: Lu 吕 Xing 行 , Cheng 程 Yu 宇 , Ginsburg Adam , Longmore Steven N. , Diederik Kruijssen J. M. , Battersby Cara , Zhang Qizhou , Walker Daniel L.
Published: May 2020

We report Atacama Large Millimeter/submillimeter Array (ALMA) Band 6 continuum observations of 2000 au resolution toward four massive molecular clouds in the Central Molecular Zone of the Galaxy. To study gas fragmentation, we use the dendrogram method to identify cores as traced by the dust continuum emission. The four clouds exhibit different fragmentation states at the observed resolution despite having similar masses at the cloud scale (∼1–5 pc). Assuming a constant dust temperature of 20 K, we construct core mass functions of the clouds and find a slightly top-heavy shape as compared to the canonical initial mass function, but we note several significant uncertainties that may affect this result. The characteristic spatial separation between the cores as identified by the minimum spanning tree method, ∼104 au, and the characteristic core mass, 1–7 

, are consistent with predictions of thermal Jeans fragmentation. The three clouds showing fragmentation may be forming OB associations (stellar mass ∼103

). None of the four clouds under investigation seem to be currently able to form massive star clusters like the Arches and the Quintuplet (≳104

), but they may form such clusters by further gas accretion onto the cores.
Recurrent Cometary Activity in Near-Earth Object (3552) Don Quixote
Authors: Mommert Michael , Hora Joseph L. , Trilling David E. , Biver Nicolas , Wierzchos Kacper , Harrington Pinto Olga , Agarwal Jessica , Kim Yoonyoung , McNeill Andrew , Womack Maria , Knight Matthew M. , Polishook David , Moskovitz Nick , Kelley Michael S. P. , Smith Howard A.
Published: May 2020

We report on observations of activity in near-Earth object (3552) Don Quixote using the Spitzer Space Telescope and ground-based telescopes around its 2018 perihelion passage. Spitzer observations obtained six months before perihelion show extended emission around the target’s nucleus that is most likely caused by molecular band emission from either CO2 or CO, but we find no significant emission from dust. Ground-based optical observations taken close to perihelion reveal for the first time activity in the optical wavelengths, which we attribute to solar light reflected from dust particles. IRAM millimeter radio observations taken around the same time are unable to rule out CO as the driver of the molecular band emission observed with Spitzer. The comparison of the gas activity presented here with observations performed during Don Quixote’s previous apparition suggests that activity in Don Quixote is recurrent. We conclude that (3552) Don Quixote is most likely a weakly active comet.
Is Presepsin a Reliable Marker of Sepsis Diagnosis in Pediatric Intensive Care Unit?
Authors: Algebaly Hebat-Allah , Fouad Hala M. , Elkholy Maha M. , Ibrahim Sally K. , Riad Nermin M.
Published: May 2020

BACKGROUND: Sepsis is a major challenge in emergency departments and intensive care units (ICUs). Sepsis also mimics or interacts with many other disorders causing high mortality and morbidity. There is no accurate biomarker or test to diagnose or predict sepsis. The treatment of sepsis is often based on the clinician’s experience.
AIM: We conducted this study to analyze the serum level of presepsin in pediatric critical patients with SIRS, sepsis, severe sepsis, and septic shock.
METHODS: The study included 58 children, 32 septic pediatric patients admitted to the Pediatric ICU (PICU) of Cairo University Teaching Hospital and 26 healthy children who served as a control group. The aim was to estimate the diagnostic accuracy of presepsin in predicting sepsis in PICU. We classified the patients into systemic inflammatory response syndrome, sepsis, severe sepsis, and septic shock according to the international consensus conference criteria.
RESULTS: In our study, we detected a positive correlation between C-reactive protein and presepsin levels at day 1 and day 3 of admission and a negative correlation between hemoglobin and presepsin levels at day 1. However, we found no difference in the serum presepsin between the children who had sepsis and the healthy ones (at day 1 [p = 0.430) and at day 3 [p = 0.845]). We also found that serum levels of presepsin were not significantly increased with the increasing severity of sepsis despite the higher median values with increasing sepsis severity.
CONCLUSIONS: It was noted that presepsin levels increased in anemic critical patients, whereas presepsin had no role in differentiating the septic critical patients from healthy children. However, its level increased with increasing severity of sepsis grade.
Functional Outcome Following Synthetic Vertebral Body Implantation in the Management of Spinal Disorders
Authors: Faraj Moneer K. ,  Arkawazi Bassam Mahmood Flamerz , Abbas Hazim Moojid , Al-Attar Zaid
Published: May 2020

OBJECTIVE: Synthetic vertebral body replacement has been widely used recently to treat different spinal conditions affecting the anterior column. They arrange from trauma, infections, and even tumor conditions. In this study, we assess the functional outcome of this modality in different spinal conditions.
PATIENTS AND METHODS: Thirty-six cases operated from October 2010 to December 2017. Twelve patients had spinal type A3 fractures, 11 cases with spinal tuberculosis (TB), and 13 cases with spinal tumors. They were followed clinically for a mean period of 2.4 years.
RESULTS: All the cases were approached anteriorly. Seven cases had a post-operative infection. No neurological worsening reported. We had dramatic neurological improvement in all spinal TB cases. Mortality recorded in only 4 cases with metastatic spinal tumor during the mean period of follow-up. Karnofsky performance status scale showed statistically significant change for spinal TB, and tumor cases during the follow-up period, but there was no significant change in cases of spinal type A3 fractures.
CONCLUSION: The positive outcome of this surgery makes it recommended for properly selected patients, especially with spinal TB and tumors.
A Retrospective Cohort Study of Kawasaki Disease in Hue Central Hospital for 10 Years (2010–2019)
Authors: Huu Son Nguyen , Kiem Hao Tran , Hoang Anh Nguyen Thi
Published: May 2020

INTRODUCTION: Kawasaki disease (KD) is an acute self-limited systemic vasculitis of unknown etiology which affects mainly children <5 years of age. If the disease is left untreated, it can lead to serious complications such as inflammation of the blood vessels.
AIM: We aim to evaluate the clinical and laboratory findings and response to therapy of KD at Hue Central Hospital.
METHODS: This is a retrospective study of patients with KD at Pediatric Center of Hue Central Hospital between January 2010 and December 2019. Clinical and laboratory examinations as well as the echocardiograms finding were analyzed.
RESULTS: All patients were under 5 years old, in which boys were more than girls. Fever lasting over 5 days, changing in the mouth mucosa, and peripheral extremities were seen in all patients. About 73.2% had bilateral conjunctivitis and 78.0% had rash. About 42.3% of patients had cervical lymphadenopathy. Laboratory findings were noted with 84.5% of patients had hyperleukocytosis (>12,000/ mm3), 76.2% of patients had high serum C-reactive protein (CRP) levels (>100 mg/dl), 56% of patients had erythrocyte sediment rate >60 mm in the 1st h, and 34.5% of patients had thrombocytosis (platelet count >500,000/mm3) at the time of diagnosis. About 26.2% of patients had coronary artery lesions. Most patients (84.4%) had good outcome since the first dose of gamma-globulin and 13% of patients needed the second dose. There was a significant correlation between coronary artery abnormalities and no or late treatment of gamma-globulin.
CONCLUSION: KD was very common in children under 5 years old with the high rate of coronary artery lesion. Treatment with gamma-globulin on or before 10 days of fever resulted in better coronary outcomes and decreased the total length of time of clinical symptoms.
Robotic Duodenopancreatectomy
Authors: Coco Danilo , Leanza Silvana
Published: May 2020

INTRODUCTION: Advanced methods of treating pancreatic cancer are being explored to minimize some of the adversities associated with traditional laparoscopy. One of the most promising procedures is robotic duodenopancreatectomy, which appears to reduce morbidity, mortality, conversion rate, hospital stay, and improve oncological results among patients. As such, the procedure is gaining popularity in several medical facilities.
AIM: The article describes robotic duodenopancreatectomy, improved surgical treatment of pancreatic cancer that involves the use of augmented reality.
MATERIALS AND METHODS: The study involves a systematic review of existing literature on robotic duodenopancreatectomy. A total of 16 scholarly articles, published within the past 5 years, are used to synthesize information designed to provide a conclusive summary of evidence related to robotic duodenopancreatectomy. All the materials are retrieved from two medical databases, MEDLINE and ProQuest.
RESULTS/OUTCOME: Morbidity: The rate of morbidity associated with the procedure is relatively high, up to 40%, but slightly lower compared to open laparoscopy, which exhibits morbidity rates of approximately 75%. Mortality: There is evidence of incidences of mortality in robotic duodenopancreatectomy, ranging between 1 and 12.5%. The main cause of death associated with the procedure is post-pancreatic hemorrhage. Conversion rate: The conversion rate in robotic surgery is relatively lower compared to open laparoscopy, ranging between 0 and 37.5%. However, it can decrease to 33.3% after subsequent surgeries. Hospital stay: The procedure is associated with a shorter hospital stays (13.7â€“24 days) compared to open laparoscopy (25.8 days). Oncological outcomes: Robotic duodenopancreatectomy lacks clear oncological results. However, few studies have established a median overall survival of 15 months.
CONCLUSION: Given that robotic duodenopancreatectomy reduces the rates of mortality, morbidity, conversion rate, and length of hospital stays, it appears to be an ideal treatment of pancreatic cancer.
Une supervision de groupe inspirée des pratiques de réseaux. Des fenêtres ouvertes par l’expérience des participants
Authors: Gagnier Jean-Pierre , Roy Linda , Asselin Pierre
Published: May 2020

Les fondements de l’approche systémique et nos expériences de pratiques de réseaux inspirent nos supervisions de groupe. Nous concevons la supervision de groupe comme un espace privilégié pour croiser nos regards, apprendre ensemble, se différencier et faciliter l’émergence de nouvelles possibilités. Nous avons d’abord invité les participants de nos groupes actuels de supervision 1 à témoigner brièvement de leur expérience de cette modalité de soutien clinique. Puis, nous avons choisi de discuter certains de ces commentaires à partir de notre propre rive, celle de superviseurs voulant offrir une expérience soutenue de mise en réseau de professionnels qui puisse offrir le plus d’isomorphisme possible avec les contenus présentés.