bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records
Authors: Jager Franc , Geršak Ksenija , Vouk Paula , Pirnar Žiga , Trojner-Bregar Andreja , Lučovnik Miha , Borovac Ana
Published: December 2020

The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upper and lower, left and right), the conduction velocities and their directions were estimated using preterm and term EHG records of the publicly available Term–Preterm EHG DataSet with Tocogram (TPEHGT DS) and for different frequency bands below and above 1.0 Hz, where contractions and the influence of the maternal heart rate on the uterus, respectively, are expected. No significant or preferred continuous direction of propagation was found in any of the non-contraction (dummy) or contraction intervals; however, on average, a significantly lower percentage of velocity vectors was found in the vertical direction, and significantly higher in the horizontal direction, for preterm dummy intervals above 1.0 Hz. The newly defined features—the percentages of velocities in the vertical and horizontal directions, in combination with the sample entropy of the EHG signal recorded in the vertical direction, obtained from dummy intervals above 1.0 Hz—showed the highest classification accuracy of 86.8% (AUC=90.3%) in distinguishing between preterm and term EHG records of the TPEHGT DS.
Positive Emotion Amplification by Representing Excitement Scene with TV Chat Agents
Authors: Nishimura Shogo , Kimata Daiki , Sato Wataru , Kanbara Masayuki , Fujimoto Yuichiro , Kato Hirokazu , Hagita Norihiro
Published: December 2020

This paper proposes emotion amplification for TV chat agents allowing users to get more excited in TV sports programs, and a model that estimates the excitement level of TV programs based on the number of social comment posts. The proposed model extracts the exciting intervals from social comments to the program scenes. By synchronizing recorded video streams and the intervals, the agents may talk with the user dynamically changing the frequency and volume of upbeat utterances, increasing the excitement of the user. To test these agents, participants watched TV content under three conditions: without an agent, with four agents that utter with a flat voice, and with four agents with emotion amplification. Results from 24 young adult Japanese individuals showed that their arousal of participants’ subjective and physiological emotional responses were boosted because of the agents, enhancing their motivation to interact with the agent in the future. With empirical evidence, this paper supports these expectations and demonstrates that these agents can amplify the positive emotions of TV watchers, enhancing their motivation to interact with the agent in the future.
Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles
Authors: Mawrence Raphael , Munniks Sandra , Valente João
Published: December 2020

For years, urban air quality networks have been set up by private organizations and governments to monitor toxic gases like NO2. However, these networks can be very expensive to maintain, so their distribution is usually widely spaced, leaving gaps in the spatial resolution of the resulting air quality data. Recently, electrochemical sensors and their integration with unmanned aerial vehicles (UAVs) have attempted to fill these gaps through various experiments, none of which have considered the influence of a UAV when calibrating the sensors. Accordingly, this research attempts to improve the reliability of NO2 measurements detected from electrochemical sensors while on board an UAV by introducing rotor speed as part of the calibration model. This is done using a DJI Matrice 100 quadcopter and Alphasense sensors, which are calibrated using regression calculations in different environments. This produces a predictive r-squared up to 0.97. The sensors are then calibrated with rotor speed as an additional variable while on board the UAV and flown in a series of flights to evaluate the performance of the model, which produces a predictive r-squared up to 0.80. This methodological approach can be used to obtain more reliable NO2 measurements in future outdoor experiments that include electrochemical sensor integration with UAV’s.
Novel Heat-Mitigating Chip-on-Probe for Brain Stimulation Behavior Experiments
Authors: Oh Seongwoog , Oh Jungsuek
Published: December 2020

This paper proposes a novel design for a chip-on-probe with the aim of overcoming the heat dissipation effect during brain stimulations using modulated microwave signals. The temperature of the stimulus chip during normal operation is generally 40 °C–60 °C, which is sufficient to cause unintended temperature effects during stimulation. This effect is particularly fatal in brain stimulation applications that require repeated stimulation. This paper proposes, for the first time, a topology that vertically separates the stimulus chip generating the stimulus signal and the probe delivering the signal into the brain to suppress the heat transfer while simultaneously minimizing the radio frequency (RF) transmission loss. As the proposed chip-on-probe should be attached to the head of a small animal, an auxiliary board with a heat sink was carefully designed considering the weight that does not affect the behavior experiment. When the transition structures are properly designed, a heat sink can be mounted to maximize the cooling effect, reducing the temperature by more than 13 °C in a simulation when the heat generated by the chip is transferred to the brain, while the transition from the chip to the probe experiences a loss of 1.2 dB. Finally, the effectiveness of the proposed design is demonstrated by fabricating a chip with the 0.28 μm silicon-on-insulator (SOI) complementary metal–oxide–semiconductor (CMOS) process and a probe with a RT6010 printed-circuit board (PCB), showing a temperature reduction of 49.8 °C with a maximum output power of 11 dBm. In the proposed chip-on-probe device, the temperature formed in the area in contact with the brain is measured at 31.1 °C.
In Vivo Evaluation of a Subcutaneously Injectable Implant with a Low-Power Photoplethysmography ASIC for Animal Monitoring
Authors: Valero-Sarmiento Jose Manuel , Ahmmed Parvez , Bozkurt Alper
Published: December 2020

Photoplethysmography is an extensively-used, portable, and noninvasive technique for measuring vital parameters such as heart rate, respiration rate, and blood pressure. The deployment of this technology in veterinary medicine has been hindered by the challenges in effective transmission of light presented by the thick layer of skin and fur of the animal. We propose an injectable capsule system to circumvent these limitations by accessing the subcutaneous tissue to enable reliable signal acquisition even with lower light brightness. In addition to the reduction of power usage, the injection of the capsule offers a less invasive alternative to surgical implantation. Our current prototype combines two application-specific integrated circuits (ASICs) with a microcontroller and interfaces with a commercial light emitting diode (LED) and photodetector pair. These ASICs implement a signal-conditioning analog front end circuit and a frequency-shift keying (FSK) transmitter respectively. The small footprint of the ASICs is the key in the integration of the complete system inside a 40-mm long glass tube with an inner diameter of 4 mm, which enables its injection using a custom syringe similar to the ones used with microchip implants for animal identification. The recorded data is transferred wirelessly to a computer for post-processing by means of the integrated FSK transmitter and a software-defined radio. Our optimized LED duty cycle of 0.4% at a sampling rate of 200 Hz minimizes the contribution of the LED driver (only 0.8 mW including the front-end circuitry) to the total power consumption of the system. This will allow longer recording periods between the charging cycles of the batteries, which is critical given the very limited space inside the capsule. In this work, we demonstrate the wireless operation of the injectable system with a human subject holding the sensor between the fingers and the in vivo functionality of the subcutaneous sensing on a pilot study performed on anesthetized rat subjects.
Distributed Group Location Update Algorithm for Massive Machine Type Communication
Authors: Paik Mincheol , Ko Haneul
Published: December 2020

Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.
Photoelectric Characteristics of a Large-Area n-MoS2/p-Si Heterojunction Structure Formed through Sulfurization Process
Authors: Kim Yoonsok , Kim Taeyoung , Kim Eun Kyu
Published: December 2020

Two-dimensional (2D) materials, such as molybdenum disulfide (MoS2) of the transition metal dichalcogenides family, are widely investigated because of their outstanding electrical and optical properties. However, not much of the 2D materials research completed to date has covered large-area structures comprised of high-quality heterojunction diodes. We fabricated a large-area n-MoS2/p-Si heterojunction structure by sulfurization of MoOx film, which is thermally evaporated on p-type silicon substrate. The n-MoS2/p-Si structure possessed excellent diode characteristics such as ideality factor of 1.53 and rectification ratio in excess of 104. Photoresponsivity and detectivity of the diode showed up to 475 mA/W and 6.5 × 1011 Jones, respectively, in wavelength ranges from visible to near-infrared. The device appeared also the maximum external quantum efficiency of 72%. The rise and decay times of optical transient response were measured about 19.78 ms and 0.99 ms, respectively. These results suggest that the sulfurization process for large-area 2D heterojunction with MoS2 can be applicable to next-generation electronic and optoelectronic devices.
Precise Amplitude and Phase Determination Using Resampling Algorithms for Calibrating Sampled Value Instruments
Authors: Chen Yeying , Mohns Enrico , Seckelmann Michael , de Rose Soeren
Published: December 2020

Sampling-based calibration systems for calibrating “Sampled Value” (SV)-based instruments for substation automation require synchronised and time-aligned sampling processes. As the signal frequency of the power grid is always asynchronous to the standardised sampling frequencies according to IEC 61869-9, the sampled waveforms of the calibration system and of the SV-based device under test can be resampled to be synchronised and to allow better accuracy in the following measurements based on the Discrete Fourier Transform (DFT) of the resampled waveforms. The paper presents simulations and results for different resampling algorithms. A modified sinc interpolation method with a finite impulse response (FIR) is presented. The deviation of the results for the root mean square (RMS) and phase angle is in the order of 10−8V/V (or rad) for normalised frequencies of up to 20% of the sampling frequency. No practical degradation in the presence of noise and harmonics could be observed. In addition, laboratory experiments demonstrate the realization of the proposed resampling process in the future SV-based calibration systems for SV-based instrumentation.
Solids: Exciting Research Should Be Accessible to the General Public—A Plea for a New Open Access Journal
Authors: Kickelbick Guido
Published: December 2020

Solid-state sciences continue to be one of the key pillars of scientific and technological progress in our society [...]
Discordant Clinical Outcomes in a Monozygotic Dichorionic-Diamniotic Twin Pregnancy with Probable Zika Virus Exposure. Case Report
Authors: Mercado Marcela , Daza Marcela , Moore Cynthia A. , Valencia Diana , Rico Angelica , Álvarez-Diaz Diego A. , Brault Aaron C. , Fitzpatrick Kelly , Mulkey Sarah B.
Published: December 2020

Prenatal exposure to Zika virus (ZIKV) is associated with congenital anomalies of the brain and the eye and neurodevelopmental sequelae. The spectrum of disease outcomes may relate to timing of infection as well as genetic and environmental factors. Congenital infections occurring in twin pregnancies can inform the clinical spectrum of these conditions and provide unique information regarding timing of infection and in utero environment with disease pathophysiology. Herein, we report a monozygotic dichorionic-diamniotic twin pregnancy with probable prenatal ZIKV exposure identified through the Colombian ZIKV disease surveillance system. Multidisciplinary clinical evaluations were provided to the twins during their first three years of life through a national program for children with in utero ZIKV exposure. Laboratory evidence of congenital infection as well as microcephaly, brain, eye, and neurodevelopmental compromise related to prenatal ZIKV infection were identified in only one infant of the twin pregnancy. This is the first report of monozygotic twins discordant for Zika-associated birth defects. The evaluation of the pathophysiology of discordance in disease outcome for congenital infections in twin pregnancies may lead to a better understanding of potential complex environmental and genetic interactions between the mother, her offspring, and an infectious exposure.
Finite Element Method for the Estimation of Insertion Loss of Noise Barriers: Comparison with Various Formulae (2D)
Authors: Papadakis Nikolaos M. , Stavroulakis Georgios E.
Published: December 2020

Noise barriers are a critical part of noise mitigation in urban and rural areas. In this study, a comparison of the insertion loss calculations of noise barriers via the Finite Element Method (FEM) and various formulae (Kurze–Anderson, ISO 9613-2/Tatge, Menounou) is presented in the case of two-dimensional acoustic radiation problems. Some of the cases explored include: receiver in the illuminated zone, in the shadow zone, in the shadow border, source in medium, long, short distance from the barrier, source and receiver near barrier, and source above the barrier. Comparisons of the results indicate that FEM results comply well (less than 1 dB in each case) with Menounou’s formula which in turn complies with the analytic solution (MacDonald Solution). In certain cases, the differences between FEM and Menounou’s formula compared to Kurze–Anderson and ISO 9613-2/Tatge formulae are substantial (source and receiver near the barrier (10 dB) and source near the barrier and receiver in the shadow border (5 dB)). Similar differences are also confirmed by the analytic solution. The findings suggest that FEM can be applied effectively for the precise estimation of the insertion loss of noise barriers. Especially in cases where ISO 9613-2 formula shows large deviations from the analytic solution (e.g., near barrier), possible applications may arise in cases such as balconies, facades, etc. Furthermore, the study supports the idea that FEM could possibly be effectively utilized in real life applications for microscale urban acoustic modeling as a viable alternative to expensive noise prediction software.
Modified Convergent Flow Tracing Method for Evaluating Advective Velocity and Effective Porosity in Fractured Rock Aquifers
Authors: Kim Byung-Woo , Lee Hangbok
Published: December 2020

This study presented the analysis of the modified convergent flow tracing method, which is a modified virtual solute transport approach to retrieve tracer masses from a pulse image (virtual) well to an extraction well. In the convergent flow tracer test, approximate analytical solutions were extended for the pulse image well using a single-well tracing method. This method transformed the drift-and-pumpback conditions of the single-well tracing method. The method requires a prior information of the effective porosity. Using sodium chloride as a tracer mass, the tracer data sampled through field-scale tests were used to obtain breakthrough curves. This modified method was different from the pre-existing single method because it considers both the ambient groundwater movement (the two classes of drifts) and the constant volumetric flow rate during the pumping phase. The method was applied to the tracer test at underground research tunnel for verifying the theory inductively derived from the single tracing method. Through field tests, the values of velocity and porosity were compared to the results of the drift-and-pumpback equations of the single-well test, and the several different equations related to breakthrough curves of the two-well tests conducted on a field scale.
Evaluating the Performance of a New Text Rhythm Analysis Tool
Authors: Boychuk Elena , Lagutina Ksenia , Vorontsova Inna , Mishenkina Elena , Belyayeva Olga
Published: December 2020

The paper assesses and evaluates the performance of the ProseRhythmDetector (PRD) Text Rhythm Analysis Tool. The research is a case study of 50 English and 50 Russian fictional texts (approximately 88,000 words each) from the 19th to the 21st century. The paper assesses the PRD tool accuracy in detecting stylistic devices containing repetition in their structure such as diacope, epanalepsis, anaphora, epiphora, symploce, epizeuxis, anadiplosis, and polysyndeton. The article ends by discussing common errors, analysing disputable cases and highlighting the use of the tool for author and idiolect identification.
The Intertextual Use of Greek Mythology in Agatha Christie’s Detective Fiction
Authors: Ternopol Tatiana
Published: December 2020

This study investigates the intertextual use of Greek mythology in Agatha Christie’s short stories Philomel Cottage, The Face of Helen, and The Oracle at Delphi, a short story collection The Labours of Hercules, and a novel, Nemesis. The results of this research based on the hermeneutical and comparative methods reveal that A. Christie’s intertextual formula developed over time. In her early works, allusions were based on characters' appearances and functions as well as on the use of motifs and themes from Greek myths. Later on, she turned to using allusory character names; this would mislead her readers who thought they already knew the formula of her stories. Although not a postmodern writer, A. Christie enjoyed playing games of allusion with her readers. She wanted them not only to solve a case but also to discover and interpret the intertextual references.
Clinical implications of polymers and lipids in designing drug delivery systems in geriatric use
Authors: Sai Raj Kappari
Published: December 2020

This paper will emphasize some of the clinical implications of polymers and lipids in designing drug delivery systems in the geriatric population. This article will give us an overview of the advantages and disadvantages of polymers and lipids in formulating DDS in individuals over 65 in the United States. Lipid polymer hybrids can be advantageous in systemic drug bioavailability to patients who have decreased drug carrier capacity. Older adults may benefit from lipid polymer hybrids as it enhances drug delivery and drug targeting process. Most of the older adults use a minimum of 4 to 6 medications for a variety of medical ailments and conditions. Polypharmacy may be an advent situation in some of the cases, which can be reduced by innovative drug delivery options.
To study the organization of LDL-C/HDL-C ratio and inflammatory marker CRP in acute myocardial infarction
Authors: M. Madan Mohan Rao  , R. Salma Mahaboob  , G. Obulesu
Published: December 2020

There is an increasing incidence of coronary artery disease in India. We therefore need a tool to evaluate the severity and prognosis of this acute myocardial infarction. In acute myocardial infarction, the function of plaque rupture and inflammation has already been identified. Aim: To study the organization of LDL-C/HDL-C ratio and inflammatory marker CRP in acute myocardial infarction. Methods and Material: Patients who have been diagnosed as acute myocardial infarction (ST Elevation Acute myocardial Infarction or Unstable angina/Non ST Elevation Myocardial Infarction) and admitted to ICCU of Rajiv Gandhi institute of Medical Sciences, Kadapa, AP. are the subjects. Sample consists of 100 cases of acute myocardial infarction. Case history was taken from the patients, and studied according to proforma. Conclusion: Elevated levels of CRP are independent indicators of adverse effects. When contrast with the LDL / HDL ratio, CRP is used for risk stratification and as a prognostic predictor. These findings suggest that in patients with acute myocardial infarction, raised CRP Levels is significant as compared to LDL/HDL ratio.
Detection of tibial fractures in cats and dogs with deep learning
Authors: BAYDAN Berker , ÜNVER Halil Murat
Published: December 2020

The aim of this study is to classify tibia (fracture/no fracture) on whole/partial body digital images of cats and dogs, and to localize the fracture on fracture tibia by using deep learning methods. This study provides to diagnose fracture on tibia more accurately, quickly and safe for clinicians. In this study, a total of 1488 dog and cat images that were obtained from universities and institutions were used. Three different studies were implemented to detect fracture tibia. In the first phase of the first study, tibia was classified automatically as fracture or no fracture with Mask R-CNN. In the second phase, the fracture location in the fracture tibia image that obtained from the first phase was localized with Mask R-CNN. In the second study, the fracture location was directly localized with Mask R-CNN. In the third study, fracture location in the fracture tibia that obtained from the first phase of first study was localized with SSD. The accuracy and F1 score values in first phase of first study were 74% and 85%, respectively and F1 score value in second phase of first study was 84.5%. The accuracy and F1 score of second study were 52.1% and 68.5%, respectively. The F1 score of third study was 46.2%. The results of the research showed that the first study was promising for detection of fractures in the tibia and the dissemination of the fracture diagnosis with the help of such smart systems would also be beneficial for animal welfare.
Ludwik Fleck: a Philosopher Forgotten in Ukraine
Authors: Шепетяк Олег , Шепетяк Оксана
Published: December 2020

Ludwik Fleck is a philosopher, biologist and physician who had a decisive influence on Thomas Kuhn. The research is dedicated to a publication of the Ukrainian translation of the Fleck’smain work “Genesis and Development of a Scientific Fact” by Stefania Ptashnyk. The article deals with the scientific formation of Fleck, describes what happened to his philosophical achievements after his death and the outbreak of his popularity. The article presents the content of all Fleck’s works on philosophy, which are divided into three periods: preparatory, major and post-war. The main emphasis is on the formation of the key concepts of Fleck’s philosophy: “thought style” and “thought collective”.
SENAI CIMATEC Contributions for the Strengthening of Brazilian Companies Using Lean Manufacturing in the Combat Against COVID-19
Authors: Carlos César Ribeiro Santos  , Ricardo de Oliveira Monteiro Russel  , Leonardo Sanches de Carvalho  , Victor Nunes Fontenele  , Nelson Ribeiro Carreira
Published: December 2020

SENAI CIMATEC (Technology Center at Salvador, Bahia, Brazil) has been in the spotlight in Brazil due to the development of programs and projects to help companies and employees against the pandemic of the Coronavirus-19 (COVID-19). This study presents the project, Lean Manufacturing in the support of COVID-19’s crisis, developed by SENAI CIMATEC, in support of the Brazilian enterprises. The methods for the development of the project used case studies. The results achieved thrive to the success of the program and demonstrate how the use of the Lean Manufacturing tools, in a remote access environment, can assist companies in conducting business consultancies.
Analysis of Brazilian Manufacters in the COVID-19 Diagnostic Products by ANVISA
Authors: Valdir Gomes Barbosa Júnior  , Roberto José da Silva Badaró  , Bruna Aparecida Souza Machado
Published: December 2020

In March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Diagnostic and screening tests have been important tools for the clinical characterization of diseases such as COVID-19. This study aimed to analyze the presence of Brazilian manufacturers in the COVID-19 products approved by the Brazilian Health Regulatory Agency (ANVISA). This research used the ANVISA database, in which 329 registered products were identified. We classified them into 4 methods, 3 of which were the object of careful analysis. The results showed Brazil’s external dependence on products from other countries, mainly from China.
Thermodynamics of Oils of Nutritional/Cosmetic Use: Bertholletia excelsa, Cocos nucifera, and Pterodon emarginatus Vogel
Authors: Marta A. Pires  , Rebecca S. Andrade  , Miguel Iglesias
Published: December 2020

This paper contains the results of a new experimental study about the temperature effect on density and ultrasonic velocity for Brazil nut (Bertholletia excelsa), coconut (Cocos nucifera), and sucupira (Pterodon emarginatus Vogel) oils. Isentropic compressibilities and isobaric expansibilities were computed from the experimental magnitudes as a function of temperature. Halvorsen’s model (HM), and Collision Factor Theory (CFT) were selected for the prediction of these properties due to their wide range of application and easy computation. An accurate response was observed, despite the use of several simplifications as molecular group contribution procedures for estimation of theoretic criticals points of the fatty acids and the complex nature of the studied fluids.
HUBUNGAN PROSENTASE LEMAK DAN BERAT BADAN DENGAN AGILITY KLUB PENCAK SILAT NUSANTARA DKI USIA 11-18 TAHUN
Authors: Widiastuti Widiastuti , Wardoyo Hendro , Hernawan Hernawan , Nuraini Sri
Published: December 2020

Penelitian ini bertujuan untuk mengetahui hubungan prosentase lemak dan berat badan dengan agility klub pencak silat nusantara dki usia 11-18 tahun. Metode penelitian yang digunakan adalah metode kuantitatif dengan studi korelasi, yaitu dengan mengumpulkan data yang diperoleh dari hasil pencatatan dan pengukuran yang terdiri dari Prosentase lemak, berat badan, dan agility. Teknik pengambilan sampel dalam penelitian ini menggunakan teknik random sampling dengan jumlah 100 atlet klub pencak silat remaja, dan menggunakan instrument alat pengukur lemak (fat caliper), timbangan, data diri dan alat tulis, stopwach, peluit, cone atau marker. Hasil yang didapat yaitu terdapatnya hubungan yang positif antara prosentase lemak dengan agility, yang memiliki nilai sebesar 0,550, dan juga terdapat hubungan yang positif antara berat badan dengan agility, yang memiliki nilai sebesar 0,415. Terdapat hubungan yang positif antara prosentase lemak dan berat badan dengan agility yang memiliki nilai sebesar 0.601. Berdasarkan hasil penelitian, dapat disimpulkan terdapatnya hubungan yang signifikan antara berat badan, prosentase lemak dengan kelincahan (agility) pada seorang atlet pencak silat.
KESADARAN DAN KEPEDULIAN EKOLOGIS BUDAYA DALAM UPACARA MANGONGKAL HOLI SEBUAH KAJIAN DALAM PERSPEKTIF LAUDATO SI’, ART. 143-146
Authors: Sihotang Juli Antonius
Published: December 2020

Penelitian studi ini menaruh perhatian pada keindahan hidup yang lahir dari cinta akan Tuhan, sesama, dan alam semesta. Warisan kebudayaan lokal adalah salah satu sarana yang disadari, dipelihara, dan diwariskan secara terus-menerus oleh masyarakat sebagai ungkapan cinta yang menyeluruh dalam hidup seperti yang tertuang dalam ensiklik Laudato Si dalam hubungannya dengan ekologi budaya. Dalam budaya Batak, cinta ini terwujud salah satunya dalam upacara mangongkal holi. Upacara adat sebagai ungkapan cinta kepada leluhur yang telah meninggal. Metodologi yang digunakan dalam penelitian studi ini adalah “metodologi kepustakaan” dengan mendalami berbagai buku budaya Batak, terutama upacara mangongkal holi. Upacara mangongkal holi menurut orang Batak juga adalah wujud dari kesadaran untuk memelihara, menghayati, dan mewariskan budaya lokal kepada keturunan mereka. Dengan ini, saya sampai pada temuan bahwa kehidupan manusia bukan hanya mengenai apa yang terjadi saat ini dan kelak di masa depan. Hidup juga apa yang terjadi pada masa lalu yang menghubungkan kenangan, hati, dan batin manusia yang satu dengan yang lainnya, terutama dengan leluhurnya yang telah meninggal dunia.
IMAM PELAYAN SABDA: PERSPEKTIF SPIRITUALITAS IMAMAT (IMAM SEBAGAI PELAYAN DALAM TANTANGAN PASTORAL DI KEUSKUPAN TIMIKA)
Authors: Edison Hironimus , Tinambunan Edison R.L
Published: December 2020

Pelayanan Sakramen dan pelayanan Sabda merupakan tugas para imam yang paling utama dan pokok di dalam Gereja. Rahmat tahbisan yang mereka terima menjadi sumber dan dasar bagi kedua tugas pokok itu. Di antara tugas-tugas itu, yang menjadi fokus utama penulisan dalam artikel ini ialah tugas para imam sebagai pelayan Sabda. Tugas itu sering kali dilalaikan oleh kaum tertahbis dengan berbagai alasan dan kesibukan yang mereka kerjakan. Penulis mengadakan studi sumber sebagai metodologi dalam tulisan ini. Tujuan penulisan tema ini ialah agar para imam menyadari sungguh akan tugas dan panggilan mereka sebagai pelayan Sabda. Hidup dan pelayanan pastoral mereka akan menjadi efektif jika mereka mengakarkan hidup pada Sabda Allah.
KUADRATİK ATAMA PROBLEMİNE YENİ BİR MELEZ KARINCA KOLONİSİ OPTİMİZASYON ALGORİTMASI ÖNERİSİ
Authors: PALA Osman
Published: December 2020

Günümüzde işletmeler çok farklı tiplerde karar problemleri ile uğraşmak durumundadırlar. Kuadratik atama problemi ise işletmelerin karşılaştıkları bu tip problemlerin birçoğu için model olarak kullanılabilmektedir. Problem, aralarında iş akışı bulunan aktivite merkezlerinin lokasyonlara yerleştirilmesi olarak ifade edilebilmektedir. Problemin modelinde doğrusal olmayan fonksiyonlar ve tam sayılı değişkenler bulunması sebebiyle çözümünde yaklaşık iyi çözümler üreten sezgisel yaklaşımlar çoğunlukla tercih edilmektedir. Çalışma kapsamında, yeni bir komşuluk fonksiyonu yaklaşımı ile oluşturulan yerel arama algoritması önerilmiş ve bu önerinin Karınca Kolonisi Optimizasyon Algoritması ile birleşiminden yeni bir melez sezgisel algoritma geliştirilmiştir. Önerilen yaklaşım bilinen komşuluk fonksiyonlarına dayalı yaklaşımlar ve klasik yaklaşımla kuadratik atama probleminin çözümünde örnek problemler üzerinden kıyaslanmıştır. Yöntemlerden elde edilen çözüm değerlerine göre önerilen yaklaşımın çözüm performansının etkili olduğu görülmektedir.
FAST FOOD RESTORANLARINI ZİYARET EDEN TÜKETECİLERİN TEKRAR ZİYARETLERİNE ETKİ EDEN FAKTÖRLERİN BELİRLENMESİ: ÜNİVERSİTE ÖĞRENCİLERİ ÜZERİNE PİLOT BİR ÇALIŞMA
Authors: DOĞRUL Ümit , ÖZELTÜRKAY Ahmet  Hilmi , YAŞA ÖZELTÜRKAY Eda
Published: December 2020

Son yıllarda fast food sektörü çok hızlı bir şekilde büyümekte ve rekabet artmaktadır. Rekabetin artması sektördeki işletmelerin, tüketicilerin beklentilerini analiz edip bu beklentileri çok daha etkin şekilde karşılaması zorunluluğunu beraberinde getirmiştir. Bu çalışmanın amacı fast food tüketicilerinin fast food restoranlardan elde ettikleri tatmini etkileyen faktörleri incelemektir. Ayrıca çalışmada bu faktörlerin restoranı tekrar ziyaret etme niyetleri üzerinde tatminin aracılık rolü de ortaya konmaya çalışılmıştır. Bu kapsamda 223 kişiye anket uygulanmış ve araştırma hipotezleri yapısal eşitlik modellemesi kullanılarak analiz edilmiştir. Aracılık hipotez3
lerinin test edilmesinde ise sobel testi kullanılmıştır. Elde edilen sonuçlara göre, restoranın fiziki imkânlarının, hizmet ve ürün kalitesinin ve fiyat performans düzeyi algısı fast food restorandan elde edilen tatmini etkilemektedir. Aracılık analizi sonuçlarına göre ise, bu dört faktörün restoranı tekrar ziyaret etme niyeti üzerinde tatminin aracılık etkisi vardır.
Análisis multitemporal mediante imágenes de sensores remotos para la determinación de los cambios de uso de suelo en el municipio de San Francisco de Sales, Cundinamarca (Colombia) entre los años 90’s y 2018
Authors:   , Niño Martínez Yuly Marcela
Published: December 2020

El presente trabajo consistió en el análisis multitemporal de las coberturas y usos del suelo del municipio de San Francisco de Sales, ubicado al noroccidente del departamento de Cundinamarca en Colombia. Con el uso de imágenes de satélite Landsat 4 TM y Sentinel-2 MSI de los años 1988 y 2018 respectivamente. Se identificaron los cambios en las coberturas terrestres entre estas dos épocas a escala 1:100.000, mediante el uso de la clasificación supervisada y con base en la metodología Corine Land Cover adaptada para Colombia (CLC), a su vez, se hizo la validación de los resultados obtenidos con el cálculo de la matriz de error o de confusión, la cual compara los resultados de la clasificación frente a áreas verdad terreno y brinda el grado de certeza que se tiene respecto a la clasificación supervisada. Los resultados obtenidos, reflejan primordialmente cambios en los territorios artificializados, apareciendo consigo dos nuevas coberturas correspondientes a tejido urbano discontinuo y zonas industriales, adicionalmente se evidencia una dramática disminución en las áreas agrícolas y la aparición de un nuevo fenómeno llamado finca raíz en su lugar. Los hallazgos encontrados sirven como referente en el marco del Esquema de ordenamiento territorial para el municipio en cuestión.
Chemical and mineral composition of sulfide nodules from the Mikhaylovsky and Belousovsky ancient mines, Orenburg Gis-Urals
Authors: Blinov I.A.
Published: December 2020

Cu-sulfde and rare Fe-sulfde nodules up to 2–5 cm in size are found in gray marl siltstones, which occur in a sequence of Permian sandstones of Orenburg Cis-Urals. The Cu-sulfde nodules are characterized by high Cu content (>20 %) and low contents of trace elements (Fe <1.2 %, As, Ag, V, and Pb <130 ppm). They are composed of Cu sulfdes (minerals of the chalcocite group and covellite) with minor barite and mottramite. The Cu sulfdes are transformed to malachite and, to a lesser degree, to chrysocolla and brochantite. The decomposition of Ag-bearing Cu sulfdes leads to the formation of a Ag sulfde. The Fe-sulfde nodules of the Belousovsky mine are composed of pyrite. In the oxidation zone, pyrite is replaced by ferrous opal; single grains of plumbogummite are associated with Fe hydroxides.
Uma sequência de ensino para a formação de conceitos estatísticos nos anos iniciais do Ensino Fundamental
Authors: Bispo Santos Leticia , Ribeiro dos Santos Santana Eurivalda
Published: December 2020

Este artigo tem como objetivo analisar os elementos que potencializam o ensino de conceitos estatísticos por meio de uma sequência de ensino acerca do tema água potável, elaborada com as fases do Ciclo Investigativo, para os anos iniciais do Ensino Fundamental. Para alcançar esse objetivo, aportamo-nos no Letramento Estatístico proposto por Gal e na Teoria dos Campos Conceituais de Vergnaud. A sequência foi desenvolvida em uma turma de estudantes do 3º ano do Ensino Fundamental de uma escola pública, localizada na região sul da Bahia, e toma como metodologia as cinco fases do Ciclo Investigativo proposto por Wild e Pfannkuch. A sequência foi planejada durante um processo formativo e desenvolvida pela professora em sua sala de aula. O resultado da pesquisa revela que foram potencializados os elementos do componente cognitivo: o conhecimento matemático, ou estatístico. E os elementos do componente atitudinal: postura crítica, crenças e atitudes, propostos por Gal para o desenvolvimento do Letramento Estatístico. Apontou, também, que a sequência proporcionou o aprendizado dos conceitos estatísticos, pelos estudantes, ao abordar um tema do cotidiano e ser desenvolvida segundo as fases do Ciclo Investigativo.
Sistem Pakar Deteksi Penyakit Diabetes Mellitus (DM) menggunakan Metode Forward chaining dan Certainty factor Berbasis Android
Authors: Utami Yulianti Pratiwi , Triayudi Agung , Esthi Handayani Endah Tri
Published: December 2020

Excess sugar consumption will affect the body's resistance with predicted dangers such as diabetes. Diabetes is a disease that is a quite a dangerous cause of the failure of the pancreas to produce the hormone insulin. Information regarding the achievement of blood sugar targets that must be understood by some people is around 80-130mg / dL because of the lack of effectiveness in consulting directly with experts, the aim of this study is to make a problem solving using an expert system by applying the forward chaining method and certainly a factor. Also implemented on the Android operating system so that the use of every detail of this application can be accelerated by the hand with a smartphone. As a result, every user of this application can ask questions that can diagnose Diabetes Mellitus.Keywords:Expert System, Forward chaining, Diabetes Mellitus Detection, Certainty factor, Android.
Penerapan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Perangkat Pribadi
Authors: Khansa Amalia , Fauziah Fauziah , Gunaryati Aris
Published: December 2020

Along with the rapid development of technology, many types of laptops and smartphones have sprung up. The many types on the market can make consumers confused in choosing products. The decision support system for choosing this personal device uses the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The basic concept of this method is to find the weighted sum of the performance ratings for each alternative for all attributes. In the results of manual and system calculations, the SAW and TOPSIS methods produce the same ranking. In the SAW method, the highest-ranking of laptops is obtained by Acer Swift 3 (SF314-56G) with a value of 0.977 and on smartphones, the highest score is obtained by the Samsung Galaxy M51 with a value of 1. In the TOPSIS method, the highest-ranking is obtained by a laptop with a value of 0.9507 and a smartphone with a value of 1.Keywords:Notebook; SAW; Decision Support System; Smartphone; TOPSIS.
Aplikasi Manajemen Perkantoran dan Absensi Online Berbasis Android
Authors: Ardiansyah Aldi , Fitri Iskandar , Iskandar Agus
Published: December 2020

This research aims to develop a solution application and make work easier during the Covid-19 pandemic, especially in online attendance activities and office management. This study also completes the shortcomings of previous studies, where previous studies used the geotagging feature. The development tools used by researchers use the android studio and the waterfall System Development Life Cycle (SDLC) development method. The result of this research is an application that is connected to the internet in the process of attendance activities. The attendance data is stored in the database along with the photos entered at the time of attendance.Keywords:Android, SDLC, Online Attendance, Management.
Analisa Perbandingan Metode MOORA, Promethee, dan Weighted product dalam Penentuan Lokasi Usaha
Authors: Nadila Tika Aenun , Andryana Septi , Sholihati Ira Diana
Published: December 2020

In building a business, there are many aspects that need to be considered in choosing the right business location,  to minimize costs while still providing quality space to provide long-term benefits This research uses the Moora (Multi-objective optimize on the basis of ratio analysis) method, Promethee (Preference ranking organization method for enrichment evaluation), and Weighted product. These three methods were analyzed by manual calculation, then comparisons were made based on the effectiveness in processing the data and the level of conformity. The results showed that the suitability level of the weighted product method was higher with a value of 99.99857%, followed by MOORA 99.99779% and Promethee 99.99679%. Weighted products also have a fast and effective process stage, so this method is the method used in implementing web-based business location decision support systems . The results of manual and system calculations on weighted products also have the same results, namely the HI shop alternative with a value of 0.189 as the highest alternative.Keywords:Business Location, Moora, Promethee, Decision Support Systems, Weighted product.
Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android
Authors: Risnadi Bayu Abrianto , Fauziah Fauziah , Komala Sari Ratih Titi
Published: December 2020

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.
Penentuan Wilayah Terdampak Covid-19 dengan Menggunakan Metode Analytical Hierarchy Process, Simple Additive Weighting dan Weighted Product
Authors: Supriyadi Mohamad Didit , Andryana Septi , Gunaryati Aris
Published: December 2020

Corona virus (Covid-19) is a new virus that has spread to many countries in the world, including Indonesia in 2020. This virus has spread to all provinces in Indonesia. The 3 provinces with the highest number of cases are DKI Jakarta, East Java and Java West. Currently, the ranking of areas affected by Covid-19 is only done based on the confirmed number of each province. Therefore, this study aims to rank the affected areas of Covid-19 using the Analytical Hierarchy Process, Simple Additive Weighting and Weighted Product methods. The combination is done based on the advantages of each method. The AHP method is used to analyze the criteria to produce criteria with good consistency, then the ranking process of each alternative is carried out using the SAW and WP methods. This research is expected to provide recommendations for the affected areas to make various efforts to reduce the confirmed figures.Keywords:Analytical Hierarchy Process; Decision Support System; Simple Additive Weighting; Weighted Product.
Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor
Authors: Dzahabi Yunas Rio Al , Triayudi Agung , Sholihati Ira Diana
Published: December 2020

The Covid -19 virus spread in the world, especially in Indonesia, very fast. This epidemic is of concern around the world because it has a quite bad impact in various sectors. With existing technological advances, the Expert System can assist medical personnel in detecting the Covid -19 Virus. The purpose of the author in conducting the study was to detect the Covid-19 virus as easily as possible with symptom data obtained from patients who had consultations. The Naïve Bayes method is a method that uses probability and statistics that can predict a person's chance of being exposed to Covid-19 in the future based on symptoms experienced in the previous period packed with a web-based program. For comparison, the author uses the Certainty Factor Method. Certainty Factor is a method that aims to determine the certainty value which is based on the previous calculation of CF value by manual calculation. The Naïve Bayes method can group the symptoms obtained from the official WHO website which has been given an indicator of the percentage of someone exposed to the Covid-19 Virus based on the symptom data experienced to determine a person exposed to the Covid-19 Virus. While the Certainty Factor method gets the confidence of someone exposed to the symptoms of the Covid-19 virus by using the calculation indicator on the CF value that has been consulted by the user, which can provide a percentage level of confidence that is 86%.Keywords:Expert System, Covid-19, Naive Bayes, Certainty Factor.
Monolitikus alkalmazás kibővítése újabb funkciókkal
Authors: Vécsi Ádám , Krizsán Zoltán
Published: December 2020

A cikk egy általános monolitikus alkalmazás kibővítésének egyik optimálisabb módját mutatja be. Célunk, hogy egy régi monolitikus rendszert minimális változtatással bővítsünk ki új képességekkel. Javaslatunk, hogy az alap rendszerbe csak HTTP kliens végpontokat alakítsunk ki, ami az új részek (lehetőleg microszervizek) elérését biztosítsák. Nagyobb flexibilitás érdekében az üzenetsorok alkalmazása javasolt. A cikkben bemutatjuk a fent említett minták alkalmazását, csevegés és keresés funkciókkal bővítünk ki egy már meglévő alkalmazást.
Nagyvállalatok logisztikai dokumentációs folyamatainak feltérképezése
Authors: Nagy Lili , Bányai Tamás
Published: December 2020

A 21. században az egyik, ha nem a legfontosabb „fegyver” az információ. Felgyorsult világunkban mindenki azonnal tudni szeretne mindent, illetve a cégeknek is csak úgy van esélye talpon maradni, ha azonnali, naprakész információt biztosítanak. Ezen igények következtében zajlik napjainkban egy digitalizációs forradalom, ismertebb nevén az Ipar 4.0, amelynek megoldásai alapjaiban fogják megváltoztatni a versenyszférát és a munkaerőpiacot. A digitalizáció megkönnyíti a kommunikációt, az információ gyorsabb, pontosabb áramlását teszi lehetővé és számos új technológiát eredményez. Ezek bevezetéséről viszont a vállalatok vezetése és a munkavállalók között nem feltétlen van egyetértés. Azon vállalatok, amelyek nem lesznek képesek lépést tartani, most könnyebben elveszíthetik akár piacvezető szerepüket, mint valaha. Jelen cikk keretében a szerzők bemutatják a digitalizáció jelentőségét és kihívásait a nagyvállalatok életében, valamint a vállalati logisztikában.
Fitness landscape elemzési technikák áttekintése
Authors: Agárdi Anita , Kovács László , Bányai Tamás
Published: December 2020

Ebben a cikkben a fitness landscape elemzési technikákat mutatjuk be. A keresési tér elemzése fontos lehet az optimalizáló algoritmusok során. Amikor a kutatók kifejlesztenek egy új algoritmust, azt ismert benchmark adatsoron tesztelik. Ha az eredmények elérik az ismert legjobb megoldást, vagy közel jutnak hozzá, akkor publikálják a megoldásukat. Azonban fontos lehet az optimalizáló algoritmusok elemzése is, hogy valójában miért is bizonyultak jobbnak, mint a meglévő módszerek. A fitness landscape elemzéssel bizonyíthatjuk, hogy miért is hatékonyak az egyes algoritmusok.