bluuebunny/crossref_metadata_2025 huggingface dataset:
A MoSe2/N-doped hollow carbon sphere host for rechargeable Na–Se batteries
Authors: Xiao Fengping , Hu Peng , Wu Yanni , Tang Qing , Shinde Nilesh , Liu Yulong
Published: April 2021

This work provides a new idea to address the shuttling of soluble intermediate sodium polyselenides (Na2Sex, x = 4–8). A multifunctional composite of MoSe2 nanosheets coupled on N-doped porous carbon hollow spheres was designed for Se loading for the first time.
Adsorption and diffusion of alkali metals (Li, Na, and K) on heteroatom-doped monolayer titanium disulfide
Authors: Tian Ruixue , Wu Aimin , Zhang Guifeng , Liu Jia , Paredes Camacho Ramon Alberto , Yu Wenhua , Zhou Shuyu , Yao Man , Huang Hao
Published: April 2021

The impacts of heteroatom doping in TiS2 anode materials on the Li/Na/K adsorption and diffusion capabilities have been systematically investigated using first-principles calculations.
Studies on structural, dielectric and optical properties of (Ba0.95Ca0.05)1−x(Ti0.8Sn0.2)1−xNaxNbxO3 lead-free ceramics
Authors: Slimi H. , Oueslati A. , Aydi A.
Published: April 2021

(Ba0.95Ca0.05)1−x(Ti0.8Sn0.2)1−xNaxNbxO3 (BCNTSNO3) lead-free ceramics with compositions (x = 0.75, 0.8 and 0.85) were synthesized through the traditional solid-state reaction method.
Non-close-packed arrangement of soft elastomer microspheres on solid substrates
Authors: Sasaki Yuma , Hiroshige Seina , Takizawa Masaya , Nishizawa Yuichiro , Uchihashi Takayuki , Minato Haruka , Suzuki Daisuke
Published: April 2021

Unlike rigid microparticles, deformable elastomer microspheres were found to exhibit a non-close-packed arrangement on solid substrates after evaporating water from their dispersions. The underlying mechanism of their unique ordering is discussed.
Unveiling the phase behavior of CiEj non-ionic surfactants in water through coarse-grained molecular dynamics simulations
Authors: Crespo Emanuel A. , Vega Lourdes F. , Pérez-Sánchez Germán , Coutinho João A. P.
Published: April 2021

Coarse-grained computer simulation models are valuable tools for guiding experiments in industry and diverse research areas.
Pb2TiFO(SeO3)2Br: a new polar compound with the strongest second harmonic generation in the selenite bromide family
Authors: Liu Lili , Zhang Bingbing , Halasyamani P. Shiv , Zhang Weiguo
Published: April 2021

Pb2TiFO(SeO3)2Br exhibits the largest SHG response among all reported NLO selenite bromides as well as large birefringence.
Efficient defect passivation with niacin for high-performance and stable perovskite solar cells
Authors: Ren Jing , Wang Shurong , Xia Jianxing , Li Chengbo , Xie Lisha , He Hongcai , Niu Xiaobin , Zhao Qiang , Hao Feng
Published: April 2021

3-Picolinic acid (niacin) is utilized to coordinate with Pb2+, passivate the defects and control the perovskite crystal growth. The resulting device achieved a PCE close to 20%, along with improved air and ultraviolet illumination stability.
Recent developments in the photodetector applications of Schottky diodes based on 2D materials
Authors: Ezhilmaran Bhuvaneshwari , Patra Abhinandan , Benny Stenny , M. R. Sreelakshmi , V. V. Akshay , Bhat S. Venkataprasad , Rout Chandra Sekhar
Published: April 2021

The performance of the Schottky junction based photodetectors with 2D materials can be enhanced through various strategies.
Anomalous Raman modes in tellurides
Authors: Manjón Francisco Javier , Gallego-Parra Samuel , Rodríguez-Hernández Plácida , Muñoz Alfonso , Drasar Cestmir , Muñoz-Sanjosé Vicente , Oeckler Oliver
Published: April 2021

We demonstrate that the anomalous Raman bands found in bulk and 2D tellurides (selenides) correspond to clusters or precipitates of trigonal Te (Se) in the form of nanosize or microsize polycrystalline grains or layers that are segregated from the samples.
Modulating skin colour: role of the thioredoxin and glutathione systems in regulating melanogenesis
Authors: Lu Yaoying , F. Tonissen Kathryn , Di Trapani Giovanna
Published: April 2021

Different skin colour among individuals is determined by the varying amount and types of melanin pigment. Melanin is produced in melanocytes, a type of dendritic cell located in the basal layer of the epidermis, through the process of melanogenesis. Melanogenesis consists of a series of biochemical and enzymatic reactions catalysed by tyrosinase and other tyrosinase-related proteins, leading to the formation of two types of melanin, eumelanin and pheomelanin. Melanogenesis can be regulated intrinsically by several signalling pathways, including the cyclic adenosine monophosphate (cAMP)/protein kinase A (PKA), stem cell factor (SCF)/c-kit and wingless-related integration site (Wnt)/β-catenin signalling pathways. Ultraviolet radiation (UVR) is the major extrinsic factor in the regulation of melanogenesis, through the generation of reactive oxygen species (ROS). Antioxidants or antioxidant systems, with the ability to scavenge ROS, may decrease melanogenesis. This review focuses on the two main cellular antioxidant systems, the thioredoxin (Trx) and glutathione (GSH) systems, and discusses their roles in melanogenesis. In the Trx system, high levels/activities of thioredoxin reductase (TrxR) are correlated with melanin formation. The GSH system is linked with regulating pheomelanin formation. Exogenous addition of GSH has been shown to act as a depigmenting agent, suggesting that other antioxidants may also have the potential to act as depigmenting agents for the treatment of human hyperpigmentation disorders.
Influence of environment and aging materials on the performance of solar chimney power plants
Authors: Boualleg Salim Mekki , Larbi Salah , Bouhdjar Amor , Amokrane Dalila , Berrouk Abdallah Sofiane
Published: April 2021

The simplicity of solar chimney power plant (SCPP) makes it very attractive for power generation. This paper investigates the technical feasibility of using a locally-produced plastic film (Low-Density Poly-Ethylene “LDPE”) as a solar chimney power plant collector cover. The idea is to combine a very low-cost material with a simple technical solution. As LDPE is subject to deterioration, the effect of aging on the initial properties of the used material is analyzed. Natural aging was privileged over the accelerated one by exposing the studied film, for a time duration of 3 years, to environmental constraints similar to the local conditions where the SCPP collectors are installed. Various experimental tests were carried out to show the decrease of mechanical resistance and to confirm the structural degradation. Results showed that after an exposure time of 3 years, a decrease of more than 50% of the failure stress is recorded. The spectroscopic analysis confirmed the progressive degradation of the structure of the aged films. Pyranometric measurements showed that the transmittance of the film proportionally decreases with the duration of aging which has a direct impact on the SCPP collector performance. A mathematical model is developed and validated to simulate the performance of the SCPP. An increase in the initial dimension of the collector by about 23% is necessary to maintain the design-targeted production during an exploitation period of three years. The study concluded that this type of film can be used in SCPP collectors for a maximum life cycle of 3 years under the considered environmental conditions.
Eintrübung von Intraokularlinsen
Authors: Khoramnia Ramin
Published: April 2021

Das Spektrum an Komplikationen und die Explantationsgründe bei der Verwendung von
Intraokularlinsen (IOL) haben sich durch die Weiterentwicklung der
Kataraktchirurgie verändert. Eintrübungen des Materials beeinflussen dabei
unterschiedlich stark die optische Qualität. Im Fall einer störenden Eintrübung
des Materials ist auch heute noch – trotz aller Fortschritte auf dem Gebiet der
IOL-Materialien – ein Austausch der IOL die einzige Behandlungsoption.
Perinatalmedizin – ein weibliches Fach wird „weiblicher“
Authors: Singer Dominique
Published: April 2021

Liebe Leserinnen und Leser,

mit diesem Heft der Zeitschrift für Geburtshilfe und Neonatologie (ZGN) gilt es eine erfreuliche Erweiterung im Bereich der Beiräte bekanntzugeben: Neu zum wissenschaftlichen Beirat Geburtshilfe sind Frau PD Dr. Tanja Groten aus Jena und Frau Prof. Dr. Ute Schäfer-Graf aus Berlin hinzugekommen. Neu für den wissenschaftlichen Beirat Neonatologie konnten Frau Prof. Dr. Ursula Felderhoff-Müser aus Essen und Frau PD Dr. Angela Kribs aus Köln sowie Herr Prof. Dr. Michael Zemlin aus Homburg an der Saar gewonnen werden. Darüber hinaus wurde der aktuellen Akademisierung des Hebammenberufs Rechnung getragen, indem die bisher schon vertretenen Hebammen weitere Verstärkung erhalten haben: Im Beirat Hebammenwissenschaft werden künftig auch Herr Prof. Dr. Harald Abele aus Tübingen und Frau Prof. Dr. Anke Diemert aus Hamburg mitarbeiten – letztere ist unserer Zeitschrift noch von ihrer Zeit als „Assistant Editor“ der ZGN verbunden.
Agreement between the Skull Vibration-Induced Nystagmus Test and Semicircular Canal and Otolith Asymmetry
Authors: Zhang Yue , Soper Jamie , Lohse Christine M. , Eggers Scott D.Z. , Kaufman Kenton R. , McCaslin Devin L.
Published: April 2021

Abstract Background How significant asymmetries in otolith organ function in the presence of symmetrical and asymmetrical semicircular canal function influence skull vibration-induced nystagmus testing (SVINT) has not been well described. Purpose The
aim of the study is to examine the agreement between SVINT and caloric testing, ocular vestibular-evoked myogenic potentials (oVEMP), and cervical vestibular-evoked myogenic potentials (cVEMP) for detecting asymmetric vestibular function. Research Design This is a retrospective
study of patients presenting with the chief complaint of vertigo, dizziness, or imbalance. Study Sample A total of 812 patients were studied with a median age at testing of 59 years (interquartile range 46‐70; range 18‐93) and included 475 (59%) women. Intervention Either
the monothermal warm caloric test or alternate binaural bithermal caloric test, oVEMP, and cVEMP tests were administered to all patients. All patients underwent the SVINT prior to vestibular laboratory testing. Data Collection and Analysis Agreement between tests categorized
as normal versus abnormal was summarized using percent concordance (PC). Sensitivity and specificity values were calculated for SVINT compared with other tests of vestibular function. Results There was higher agreement between ipsilateral and contralateral SVINT with the caloric
test (PC = 80% and 81%, respectively) compared with oVEMP (PC = 63% and 64%, respectively) and cVEMP (PC = 76% and 78%, respectively). Ipsilateral and contralateral SVINT showed higher sensitivity for the caloric test (sensitivity = 47%
and 36%, respectively) compared with oVEMP (sensitivity = 26% and 21%, respectively), or cVEMP (sensitivity = 33% vs. 27%, respectively). Specificity of SVINT was high (>80%) for all assessments of vestibular function. Conclusion The presence
of SVIN is a useful indicator of the asymmetry of vestibular function between the two ears when making judgments about semicircular canal asymmetry but is less sensitive to asymmetries in otolith organ function.
Right Trigonal Cavernoma with Cysts and Superficial Siderosis
Authors: Niti Dinesh , Nagarajan Krishnan , Kumari Mani Manoranjitha , Balla Lalith Kumar , Chauhan Sushila
Published: April 2021

Periventricular cavernomas presenting with hydrocephalus and superficial siderosis are uncommon lesions. We report a rare case of one such periventricular cavernoma located in the peritrigonal location of the right lateral ventricle in a 26-year-old male who presented with progressive headache for 3 months. Magnetic resonance imaging showed heterogeneous lesion with “blooming” on susceptibility-weighted imaging and superficial siderosis due to repeated microhemorrhages. The lesion was resected and found histopathologically to be cavernoma. We present this uncommon lesion with a review of the literature.
Optimierung: Praxisorientierte Versorgungslogistik für Krankenhäuser
Authors: Grams Christian
Published: April 2021

Krankenhäuser sind mehr denn je auf der Suche nach Einsparungspotenzialen. Diese werden seit Jahren unter anderem der externen Versorgungs-Logistik zugeschrieben. Woran liegt es, dass trotzdem noch relativ wenige Häuser diesen Weg wählen?
Lean-OP-Management: Agile OP-Logistik
Authors: Kriegel Johannes
Published: April 2021

Das Krankenhaus ist gekennzeichnet durch eine gebündelte Vielzahl unterschiedlicher Akteure, Professionen, Aktivitäten, Dienstleistungen und Produkte. Die Logistik als prozessbasierte Querschnitts- und Schnittstellenfunktion ist dabei der Garant für eine zielgerichtete und erfolgreiche Patientenversorgung im Krankenhaus.
Digitalisierung: Smart Devices zur Prozessunterstützung in der Logistik
Authors: Rauch Christian , Wibbeling Sebastian
Published: April 2021

Die Digitalisierung von Krankenhäusern schreitet in vielen Bereichen weiter voran. Ob als Smart Hospital, digitales Krankenhaus oder Krankenhaus 4.0 bezeichnet, investieren Entscheidungsträger vermehrt in die digitale Infrastruktur der Krankenhäuser. Zuletzt gewinnt die Implementierung von Smart Devices zur Optimierung logistischer Prozesse zunehmend an Bedeutung.
Erfahrungsbericht: Nachhaltigkeit und Abfallmanagement in den Tirol Kliniken
Authors: Radelsböck Alois , Rissbacher Clemens
Published: April 2021

Wir arbeiten für Gesundheit! Dieser Begriff bedeutet für uns nicht nur die bestmögliche medizinische Versorgung unserer Patienten, sondern gesunde, motivierte Mitarbeiter und eine intakte Umwelt – Nachhaltigkeit auf allen Ebenen.
Factors affecting the frequency and outcome of platypus entanglement by human rubbish
Authors: Serena Melody , Williams Geoff A.
Published: April 2021

The platypus’s tapered shape and benthic foraging habits predispose it to becoming entangled in encircling rings or loops of plastic, rubber or metal rubbish. Based on 54 cases of litter entanglement recorded in Victorian live-trapping surveys, items may encircle the neck (68%), torso (8%), jaw (2%) or be wrapped bandolier-fashion from in front of a shoulder to behind the opposite foreleg (22%). Entanglement frequency was eight times higher in the greater Melbourne region than in regional Victoria, and was significantly greater in first-year juveniles than in older animals and also in adult/subadult females compared with adult/subadult males. Items recovered from carcasses or from rescued animals that were unlikely to have survived without human intervention included elastic hair-ties, fishing line, a hospital identification wristband, an engine gasket and a plastic ring seal from a food jar; all of these items had cut through skin and (in most cases) deeply into underlying tissue. Up to 1.5% of the platypus residing in the greater Melbourne area and 0.5% of those living in regional Victoria are estimated to be at risk of entanglement-related injuries or death at any point in time.
Pectobacterium brasiliense (soft rot and blackleg of ornamentals and potato).
Authors: Joshi Janak Raj , Zeng Yuan , Charkowski Amy
Published: April 2021

Pectobacterium brasiliense is a bacterial pathogen primarily of potato and other vegetables and ornamentals. The earliest reports of the bacterium causing disease were from Brazil in 2004 (El-Tassa and Duarte, 2004). This pathogen was reported for the first time in Europe (Belgium) in 2012 (van der Wolf et al., 2017). Since then, the pathogen has been reported in many regions of Europe, Asia, Africa, Australia, North and South America. The bacterium has adapted itself to a wide range of temperatures and host species, thus it is considered a culprit for significant losses in China, South Africa, Brazil, Netherlands, Switzerland and UK (Meng et al., 2017; van der Wolf et al., 2017). Symptoms caused by P. brasiliense are indistinguishable from other soft rot Pectobacterium and Dickeya, therefore it is impossible to identify this species on the basis of field and laboratory symptoms. Unfortunately, there is no evidence of curative measures and varietal resistance (in cultivated potatoes) against this group of bacteria, so farmers rely on seed certification, exclusion and sanitation to mitigate its worst effects.
Bactrocera tryoni (Queensland fruit fly).
Authors: Meats Alan
Published: April 2021

B. tryoni, the Queensland fruit fly, is the most costly horticultural pest in Australia and has invaded several countries in the surrounding region (White and Elson-Harris, 1994). It has the potential to spread to many places around the world because of its wide climatic and host range (Meats 1989b; Sutherst et al., 2000) and a tendency to be carried by human travellers at the larval stage inside infested fruit. B. tryoni is a very serious pest of a wide variety of fruits throughout its range. Damage levels can be anything up to 100% of unprotected fruit.
Frankliniella occidentalis (western flower thrips).
Authors: Reitz Stuart
Published: April 2021

Since the 1970s Frankliniella occidentalis has successfully invaded many countries to become one of the most important agricultural pests of ornamental, vegetable and fruit crops globally. Its invasiveness is largely attributed to the international movement of plant material and insecticide resistance, both of which have combined to foster the rapid spread of the species throughout the world (Kirk and Terry, 2003; Reitz et al., 2020). Individuals are very small and they reside in concealed places on plants; thus are easily hidden and hard to detect in transported plant material. They reproduce rapidly and are highly polyphagous, breeding on many horticultural crops that are transported around the world. F. occidentalis is species no. 177 on the list of A2 pests regulated as quarantine pests in the European Plant Protection Organisation (EPPO) region (version 2005-09). It has now reached many countries, and remains a serious threat to crops in those countries that it has not yet reached.
Candidatus Phytoplasma palmae (lethal yellowing (LY)).
Authors: Harrison Nigel A
Published: April 2021

The Atlantic tall, the most prevalent coconut ecotype throughout the Caribbean region and Atlantic coast of the Americas (Harries, 1978a), is highly susceptible to LY disease. During the past three decades, at least 50% of Florida's estimated one million coconut palms and over 80% of Jamaica's five million coconut palms have been eliminated by LY (McCoy et al., 1983). Similar epidemic losses of coconut to LY continued along the Atlantic coasts of southern Mexico and Honduras (Oropeza and Zizumbo, 1997). Although rarely affecting palms less than 5 years old, the disease prevents any re-establishment of highly susceptible coconut ecotypes in LY-endemic locations such as Florida and Jamaica.
Ficus pumila (creeping fig).
Authors: Datiles Marianne Jennifer , Acevedo-Rodríguez Pedro
Published: April 2021

A datasheet on Ficus pumila covering, as an economically important tree, its taxonomy, importance, silviculture, distribution, biology and ecology, uses, products and pests.
Miscanthus sinensis (eulalia).
Authors: Riches Charlie
Published: April 2021

A datasheet on Miscanthus sinensis covering, as an economically important tree, its taxonomy, importance, silviculture, distribution, biology and ecology, uses, products and pests.
Averrhoa carambola (carambola).
Authors: Datiles Marianne Jennifer
Published: April 2021

A datasheet on Averrhoa carambola covering, as an economically important tree, its taxonomy, importance, silviculture, distribution, biology and ecology, uses, products and pests.
Nonmedical use of Prescription Drugs and Biopsychosocial Correlates among Females who are Sex Workers in China
Authors: Tam Cheuk Chi , Zhou Yuejiao , Benotsch Eric G. , Li Xiaoming , Qiao Shan , Zhao Qun
Published: April 2021

Background: Nonmedical use of prescription drugs (NMPUD) has become a critical public health concern. Chinese literature has paid growing attention to NMUPD, but scarce research has focused on females who are sex workers (FSWs), who have a high risk of substance use. The current study aimed to examine NMUPD and its biopsychosocial correlates in Chinese FSWs. Methods: A total of 410 FSWs (mean age = 33.58 years) from Guangxi, China, completed an anonymous, self-administered survey evaluating NMUPD, somatic symptoms, and psychosocial distress. Results: Overall, 46.6% of FSWs reported lifetime NMUPD and 17.6% reported past-3-month NMUPD. The most commonly reported medications that were used nonmedically were analgesics (46.3%, lifetime; 17.6%, past 3 months). A majority of FSWs (69.1%) reported “relieving pain” as the motive of their NMUPD. FSWs reporting NMUPD were more likely to be younger, be unmarried, have higher income, and work in multiple venues/high-paying venues. Somatic symptoms and psychosocial distress were associated with NMUPD in Chinese FSWs. Conclusions: NMUPD was prevalent in Chinese FSWs and was associated with biopsychosocial factors. Critical attention should be paid to NMUPD in FSWs. Future NMUPD prevention intervention among FSWs may benefit from attending to biopsychosocial factors.
Coexistence in the public spaces of Latin American cities (Convivencia en los espacios públicos de las ciudades Latinoamericanas)
Authors: Páramo Pablo , Burbano Andrea , Navarro Felipe , Viera Eduardo , Palacios Clara , Elgier Angel , De Simone Paula , Licona Ernesto , Pérez Ivett , Ascencio Carlos , Ortiz León , Muñoz Alejandra , Brenes José
Published: April 2021

This article presents the findings of a descriptive correlational study that investigates personal evaluations of behaviours that characterize coexistence in public spaces in cities in seven Latin American countries. A total of 1,337 people of different genders and age groups participated in the research, evaluating the contribution of different behaviours associated with coexistence through an ad hoc questionnaire containing 50 items. Multidimensional scaling analysis (SSA) indicates that people assess the behaviours explored based on the function they attribute to coexistence. Albeit with some variations, there are overlaps in several of the dimensions into which the items in the questionnaire were grouped, including, for most cities, safety, environmental protection, socialization and mobility. The results are discussed on the basis of cultural differences, the consequences for quality of urban life and the formulation of public policy for citizen education.
Rapid, wide-field, high quality laser speckle angiography for retinal and choroidal vessels
Authors: Feng Ximeng , Zou Da , Hu Yicheng , Huang Zhiyu , Gu Zheng , Zhou Cuanqing , Liu Gangjun , Ren Qiushi , Lu Yanye
Published: April 2021

Laser speckle contrast imaging has been widely used for quantifying blood perfusion. In this letter, we propose a rapid, wide-field laser speckle angiography technique for noninvasive imaging of retinal and choroidal vessels. The field of view (FOV) reaches ∼50∘ while the acquisition time was less than 1 s. Larger FOV (∼90∘) can be further improved by mosaicking. The results were comparatively studied with optical coherence tomography angiography and fundus fluorescence angiography. The low-cost technology can obtain wide-field fundus vascular and perfusion images less than 1 s. This technology is more suitable for optic disc and choroidal vasculature imaging. In addition, blood flow dynamic information such as pulsation can be provided by this technique.
Comparison second order versus zero order boundary element method for tomography imaging
Authors: Rymarczyk T , Sikora J
Published: April 2021

In this article a new version of the algorithm for Electrical Impedance Tomography is presented. By describing the problem with differential equations brought to integral equations the inverse problem for tomography has been defined. This algorithm can be used for many types of nonclassical tomography. This approach is particularly useful where it is not possible to formulate accurately the boundary conditions at the outer boundary of the region. The influence of the order of BEM effect on precision of imaging was shown.
Image reconstruction in electrical impedance tomography using a reconfigurable FPGA system
Authors: Rymarczyk T , Kosior A , Tchórzewski P , Vejar A
Published: April 2021

A networked tomographic data acquisition device architectured with FPGA is developed to provide remotely-reconfigurable waveform functions for emission of excitation signals. The purpose of the device is to explore online data acquisition techniques for medical applications. Dedicated electrodes for excitation and sensing were selected for the electrical perturbation of the media under study. This device precisely controls input and acquire output in synchrony. The envisaged use is particularly the exploitation of signal modulation to achieve selective response levels in live tissue. In this work we study the acquired data, simulate the measuring scheme selected for electrical perturbation using the finite element method, and estimate the impedance image of the media.
A Preliminary Study For Initial 1-D Velocity Model in The Banggai’s Tectonic System
Authors: Simanjuntak Andrean V H , Sihotang Noviana , Kuncoro Djati Cipto , Irwandi I.
Published: April 2021

After Palu Earthquake that occurred on September 2018, another moderate earthquake on April 2019 with 6.8 Moment Magnitude (Mw) at a depth of 17 km occured in Banggai Islands. The earthquake occurred on the shallow depth that generated by an active fault with horizontal mechanism on the Banggai’s tectonic system. To explain the tectonic system in the Banggai Islands, we present a well-calculated 1-D velocity model by solving the coupled hypocentre-velocity inversion for 385 local earthquakes that recorded by BMKG regional network. The earthquakes was selected based on azimuthal gap, minimum number of stations and root mean square of travel‐time residuals. Technically, the fit solution are simultaneously inverted for total 81 inital models and will give an unique final model. The model is constructed by using Velest program that analyse the fit velocity model from body wave traveltimes (P and S wave), together with station corrections. The final 1-D velocity model will be very useful to conduct another high precision relative relocation and make a focal mechanism inversion.
Breakdown voltages of cryogenic gaseous helium and in liquid helium
Authors: Shigematsu Toshinobu , Kawasaki Hiroharu , Ono Bunji , Kawae Tatsuya
Published: April 2021

As practical applications of superconductivity have been made in electric power engineering, the breakdown voltage superconductor coolants, such as liquid helium or supercritical helium, have been needed intensively. Furthermore, in our discharge experiment in liquid helium to search for a novel carbon nanotube structure, it was predicted that the breakdown voltage was much higher. So, using the metal spherical electrodes, d.c. breakdown voltages in 4.2K gaseous helium (just above the liquid helium) and in liquid helium have been measured. As a result of the experiment, it was observed that the value is several times larger. Moreover, it found that there was no difference in the discharge phenomenon before and after the superfluid transition temperature.
Analytical and experimental study on the feasibility of rotor cooling with thin gas for fully superconducting rotating machines
Authors: Kato M , Terao Y , Ohsaki H
Published: April 2021

Rotor cooling with thin gas in air gap was considered for fully superconducting rotating machines. This does not require designing coolant channels in the rotor, so the rotor structure can be simplified. The aim of this study is to verify the feasibility of this cooling system with thin gas. In this paper, at first, steady state thermal analysis with the finite element analysis software COMSOL® was conducted to investigate whether it would be possible to observe cooling characteristics of thin gas in our experiment. The analytical result suggests an enhancement of cooling due to convection can be observed in an experiment with liquid-nitrogen cooling by increasing helium gas pressures to 5000 Pa and above. Then an experiment device including a helium gas vessel was fabricated and an experiment without rotation was performed. The temperature of the rotor which was in the vessel cooled by liquid nitrogen was apparently decreasing after feeding helium gas. Therefore, it was confirmed that the rotor was cooled by heat conduction through the helium gas. In the future, to verify whether rotor cooling with thin gas is enhanced by convection, the experiment will be conducted at various rotational speeds and pressures of helium gas.
Investigation of the Cu based binary alloys and the internal matrix reinforcement bronze processed Nb3Sn wires
Authors: Hishinuma Yoshimitsu , Taniguchi Hiroyasu , Mizuta Taiji , Mizuta Yasunari , Kikuchi Akihiro
Published: April 2021

Mechanical strength improvement on Nb3Sn wire is the most important research subject to realize high field magnet applications operated under higher electromagnetic force environment. Recently, we approached to the internal matrix reinforcement technique due to the solid solution mechanism using ternary bronze alloy matrix on the bronze processed Nb3Sn wire. In this study, the effect of the solute element on the mechanical property of the matrix after Nb3Sn synthesis heat treatment was evaluated. Several Cu based binary alloys were casted, and these alloys were sintered in order to demonstrate the matrix after Nb3Sn synthesis. We confirmed that the both 0.2% proof stress and ultimate tensile stress of the Cu-In alloy was higher than those of the pure Cu and Cu-Zn alloy. The mechanical strength improvement due to the internal matrix reinforcement using Cu-Sn-In ternary alloy matrix was caused by (Cu, In) solid solution formation. The comparisons of mechanical property between several Cu alloys were also investigated for the further mechanical strength improvement.
Analysis of Aggregate Production Planning Problem with Goal Programming Model
Authors: Tyas P K A , Bakhtiar T , Silalahi B P
Published: April 2021

Aggregate production planning is medium range planning (3-18 months) that determines production quantities, production time management, and resources management. In the real world, companies that faced this problem usually want to optimize some objective functions that conflict each other. Therefore, the purposes of this study are to reconstruct goal programming model and to solve multiobjective aggregate production planning problem. Also, to obtain numerical solutions of production planning scenarios and weights of goal programming objective function. The model is followed by the constraint of raw material capacity, workforce level, storage space, and production capacity. The proposed planning period is six months with four objective functions to maximize profit, minimize inventory cost, minimize subcontract cost, and minimize workforce changes cost. A set of hypothetical data is used to test the validity of the proposed model with several different scenarios. The result for each scenario has been fulfilled the company’s requirement and objectives. It described through monthly quantity and mechanism of the production planning. For in-depth analysis, the effect of different weighting on target’s achievement is evaluated with 24 combinations of case.
Probabilistic population projections for provincial levels in Indonesia
Authors: Setiawan B , Sukamdi  , Listyaningsih U
Published: April 2021

This research aims to produce a probabilistic population projection for the provincial level in Indonesia. The base population uses the base population used by Bappenas, BPS, and UNFPA Indonesia in compiling the 2015-2045 Indonesian official population projection. One thousand trajectories of future E0 values are projected using JPP with Asian countries as the prior distribution, while 1,000 trajectories of future TFR values are projected using BHM-based projections with Asian countries as the prior distribution. Meanwhile, the number and pattern of net internal migration are assumed to be constant during the projection period. The calculation process uses the bayesPop package in R software. The projection results show that the total population of the official projection is located at the predicted interval of the Bayesian population projection, except for the Kepulauan Riau.
Modeling The Amount of Insurance Claim using Gamma Linear Mixed Model with AR (1) random effect
Authors: Adam F A , Kurnia A , Purnaba I G P , Mangku I W , Soleh A M
Published: April 2021

The amount of insurance claims is continuous data and is positive so it is usually assumed to have gamma distribution. Usually, Generalized Linear Model (GLM)’s approach is used since the gamma distribution is a member of the exponential family. In case there is a random effect in modeling, then GLM can be extended to Generalized Linear Mixed Model (GLMM). This study models the amount of insurance claims with the most GLMM’s approach using two random effects, namely the region and time of the occurrence which is assumed to follow a first-order autoregressive process. The h-likelihood method is used to estimate the regression parameters and the variance parameters. A simulation study is carried out with an evaluation using the average relative bias and the average MSE. An application study which is conducted to model the amount of insurance claims in a certain region and time based on the 2014 profile of risk and loss of motor vehicle insurance in Indonesia is also carried out.
Robust stochastic frontier using Cauchy distribution for noise component to measure efficiency of rice farming in East Java
Authors: Zulkarnain R , Indahwati
Published: April 2021

Several studies have been conducted to estimate efficiency of rice farming in Indonesia. Those studies generally apply standard stochastic frontier (SF) model which assume that noise component has normal distribution. However, the normality assumption of noise is inadequate if the outliers are present. This paper employs Cauchy distribution for noise component to produce a more robust SF model. There are two variants of models that are employed: Cauchy-Half Normal and Cauchy-Exponential models. These models are applied to measure technical efficiency of rice farming in East Java. The findings presented in this study are based primarily on data from Cost Structure of Paddy Cultivation Household Survey 2017 (SOUT2017-SPD) that is compiled by Statistics Indonesia. Output and input variables are linked using transcendental logarithmic production function, while the parameters are estimated using maximum simulated likelihood. The results showed that Cauchy-Half Normal and Cauchy-Exponential models effectively reduce the effect of outliers. The performance of model is improved after the outliers are handled. Cauchy-Half Normal and Cauchy-Exponential models revise the technical efficiency scores of several rice farming units.
Robust multi-stage method (MM) and least median square (LMS) evaluation on handling outlier for multiple regression
Authors: Khotimah Khusnul , Sadik Kusman , Kurnia Anang
Published: April 2021

Outliers are observation with extreme values that are very different from most other data. The least squares method (OLS) is a method that is very sensitive to outliers because it can cause the modeling accuracy decrease. Throwing out outliers with the aim of improving the suitability of the regression equation cannot be done carelessly because it will provide imprecise estimation precision. This study examines the performance of robust method of the least median squares (LMS) and the multi-stage method (MM) compared to OLS in a regression analysis of data which contains outliers. Data analysis was performed on simulation data and oil palm production data. Based on the average parameter estimate bias value, MM method has the best performance in each scenario condition of data size and outlier percentage, while based on the average root mean squares error (RMSE), LMS has better performance than MM when the data size is 25. Analysis of Indonesian oil palm production data in 2018 which data size 25 and contains 44% outliers resulted the conclusion that LMS method produced smallest RMSE and highest R2, namely 38.81 and 99.78%, respectively. MM method is in the second best position, while OLS produces largest RMSE and highest R2.
Quality Control of Labelstock Using Fuzzy Exponentially Weighted Moving Average (FEWMA) Control
Authors: Pratiwi R M , Wibawati  , Ahsan M , Mashuri  , Khusna H
Published: April 2021

Production development in the industrial era sues the company to continue creating the best product for consumer society. Product quality is the main consideration for the consumer in selecting products. This is certainly driving the company to maintain the quality of its products. Therefore, companies need to control the quality of production so their products can fulfill the standards set. One of the ways that can be used to control quality is using the control chart. The most frequently used control chart is the Shewhart type control chart. However, the Shewhart control chart can only be used for crisp data, while for data containing ambiguity, a fuzzy control chart can be applied. In this research, the thickness of the label stock glue quality on HVS P 60 is monitored using the fuzzy control chart. The type of fuzzy control chart used in this study is the FEWMA (Fuzzy Exponentially Weighted Moving Average) control chart. This control chart was chosen because it can monitor data that contains ambiguity and data with small process shifts. In this research, rigorous inspection (α-cuts) was used to detect shifting data. Based on the analysis, it was found that the weight (λ) 0.1 is the optimum weight value in detecting a process shift in the thickness of the label stock glue. Through the cause and effect diagram, four factors that cause the out of control data was found, namely machine, method, man, and material.
Spatial Regression Model with Optimum Spatial Weighting Matrix on GRDP Data of Sulawesi Island
Authors: Paramita N , Masjkur M , Indahwati
Published: April 2021

The two main spatial regression models are the spatial autoregressive model (SAR) and spatial error model (SEM). The extension of the SAR model is a spatial Durbin model (SDM), which considers the spatial dependence of response and explanatory variables. However, the determination of the spatial weight matrix is critical for the best estimation results. We consider two distance-based spatial weight matrices, i.e., the k-Nearest Neighbour (k-NN) and Inverse Distance Weighting (IDW). The objective of this study was to compare the performance of the Ordinary Least Squares (OLS) regression, SAR, SEM, and SDM models with k-NN and IDW on the estimation of Growth Regional Domestic Product (GRDP) and identify the critical factors that influence the value of GRDP of Sulawesi island. The study used the GRDP data of 81 districts/cities in Sulawesi island in 2018 with six explanatory variables. The results show that the 4-NN weighted SAR model outperforms the OLS, the 4-NN SEM, SDM models, IDW SAR, SEM, and SDM models. The factors that influence the value of GRDP in Sulawesi island are HDI (Human Development Index), population size, open unemployment, small/micro and medium industries, and the spatial lag autoregressive coefficient.
Mixed Geographically and Temporally Weighted Regression Analysis of Percentage of Poverty in Java Island
Authors: Djuraidah A , Indahwati  , Asianingrum A H
Published: April 2021

Regression analysis is a method that can be used to analyze the linear relationship between explanatory variables with a response variable to analyze problems. The problem of poverty is one of the fundamental problems and is the center of government attention in every country especially developing countries like Indonesia, precisely in Java Island that have the largest number of poor people. In poverty data, there is spatial and temporal diversity. Besides, potential differences between regions in Indonesia allow for the diversity of data and can be locally and globally addressed so that the MGTWR method can be used. In this study using data on the percentage of poor people in regency/municipality in Java in 2012-2018. MGTWR modeling results show that the GDRP, literacy numbers, and EYS variables are global variables. Whereas the last variable of education was completed by elementary school, per capita expenditure, Raskin recipient households, residents of the 15-64 age group, and MYS were local variables. Based on the Bisquare kernel function, the MGTWR model is the best model to modeling the percentage of poor people in regency/municipality in Java with the smallest AIC value of 198.75 and PseudoR2 the biggest is 72.92%. In MGTWR modeling, 5 regional groups are formed based on factors that influence simultaneously.
Study of Forecasting Method for Agricultural Products Using Hybrid ANN-GARCH Approach
Authors: Jannah Miftahul , Sadik Kusman , Afendi Farit Mochamad
Published: April 2021

The capital city of Jakarta as the center of socio-economic activities has to maintain the stability of its economy, including the stability of staple food prices such as rice, onion, and chili prices. To make a strategic plan for anticipatory action, one of the ways is by doing forecasting. The problem in forecasting staple food prices is the fact that those staple foods have high volatility prices. It makes the conditional variance of residual become inconstant. This research applied the Hybrid ANN-GARCH model that combined Artificial Neural Network (ANN) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. This method has used to predict rice, onion, red chili, and cayenne pepper prices in Jakarta. The data divided into two categories, training and testing data. The result shows that the Hybrid ANN-GARCH model produced smaller RMSE and MAPE values than ARIMA model. Based on the accuracy value of the model, it can be concluded that Hybrid ANN-GARCH better than ARIMA in forecasting the price of the four commodities.
Impacts of Earthquakes on Consumer Price Index and Inflation: A Case Study in West Nusa Tenggara Province, Indonesia
Authors: Wibowo Wahyu , Purwa Taly , Abdul Bahri Elya Nabila , Suprih Ulama Brodjol Sutijo , Wilantari Regina Niken
Published: April 2021

Since Indonesia is located in the Ring of Fire, it is well understood that it has been highly vulnerable to earthquakes. Earthquakes can have many effects, including infrastructure damage and socioeconomic disruption. During 2009 to 2019, West Nusa Tenggara Province had the most earthquake frequencies. This paper aims to investigate the impacts of earthquakes on the regional economy of West Nusa Tenggara Province on the consumer price index (CPI) and inflation using the autoregressive integrated moving average with exogenous variables (ARIMAX) method. The data used in this paper are monthly CPI and the inflation in West Nusa Tenggara Province from January 2008 to December 2018. Based on the modeling process, two models for CPI and inflation are obtained. The forecast values of CPI are converted to inflation values to produce an indirect inflation forecasting, and the RMSE of four models are compared. The overall best model, with the smallest RMSE, for inflation is ARIMAX with stochastic trend and seasonal variable, which indicates that direct forecasting using inflation data is better than indirect inflation forecasting using CPI. From the best model, the earthquake effect, i.e., the real and estimated effects, has positive and negative effects on CPI and inflation with the magnitude of the real effect that is larger than the estimated effect. These two conditions indicate that the model cannot forecast well the earthquake effect. Therefore, much greater anticipation is necessary from local governments regarding the impact of the earthquake on the prices of essential commodities that is likely to occur in the future.
New normal policy on the Rupiah exchange rate using Long Short-Term Memory
Authors: Pontoh R S , Zahroh S , Sunengsih N
Published: April 2021

Since the world is facing health problems due to COVID-19, Indonesia was not success to surge the outbreak. In addition to the risk of health problems, this pandemic is also disrupting the global economy. The rupiah exchange rate also saw a devaluation during the COVID 19 outbreak. The Indonesian economy is expected to grow negatively in the third quarter of 2020 and predicted to continue until the end of the year. The measure from the government impacted the economic circumstances then along with the decline in new cases of the spread of COVID-19 the government was implementing a new normal, after the completion of large scale social restrictions weakened the economic development, with one of its goals to improve and try to save Indonesia’s economy from a possible worse recession. This study attempts to use the forecasting method to find out whether the application of the new normal will strengthen the Rupiah exchange rate in the coming period. The methods that will be used is Long Short Term Memory as the best model to overcome long-term dependencies to obtain a predictive model that most closely approximates existing data patterns. The most suitable model is Long Short Term Memory with 50 epochs using five hidden neurons. Based on the results, it seems that the Rupiah exchange rate tends to weaken in the next five-day.
Recognizing poverty pattern in Central Java using Biclustering Analysis
Authors: Putri C A , Irfani R , Sartono B
Published: April 2021

Poverty is a complex and multidimensional problem and becoming a development priority. In analyzing the pattern of poverty in a region, one of the statistical procedures that is usually used is the cluster analysis. However, it does not consider the different levels of performance by region in different characteristics at a particular time. In this study, an alternative approach, namely Cheng and Church’s biclustering algorithm, was used to simultaneously identify the poverty pattern in Central Java by region and poverty dimension variables. Using this algorithm, we found two biclusters with different characteristics. The first bicluster represents the general condition of poverty in Central Java, but they are better in labor and housing quality indicators. While the second bicluster is poorer in some indicators of labor, education, and housing quality than Central Java.
Classification of Paddy Growth Phase Based on Landsat-8 Image with Convolutional Neural Network Algorithm
Authors: Izah R N , Kurnia A , Sartono B
Published: April 2021

Food security is one of the major issues in the world. One of the related component of the issue is the provision of agricultural data. In Indonesia, there is a difference of rice production data between the Ministry of Agriculture and Statistics Indonesia (locally known as BPS). This is due to difference in data acquisition methods used. In order to predict rice production, we must know about paddy growing phase so that the prediction of rice production in a certain period can be accurately calculated. This research aims to propose a convolutional neural network method to develop paddy growth phase classification model using remote sensing data of landsat-8 images. The convolutional neural network algorithm is used to perform self-learning processes such as reading image, extracting and classifying by changing the structure of landsat-8 image into matrix or pixel. This research also conducted experiment against hyper parameter epoch with 10, 30 and 50 epochs to get good accuracy. The case research is the area of PT Sang Hyang Seri rice field in Subang Regency, Indonesia. The experiment results provided an accuracy of 80.37%. It means the convolutional neural network model is matched with the data. It is able to classify landsat-8 images.