bluuebunny/crossref_metadata_2025_split huggingface dataset:
Klasifikasi Jenis Burung Lovebird Menggunakan Algoritma Convolutional Neural Network
Authors: Syaputra Hadi , Supratman Edi , Purnamasari Susan Dian 
Published: June 2022

Salah satu algoritma yang digunakan untuk klasifikasi citra digital adalah convolutional neural network, dalam penelitian ini citra burung lovebird yang terdiri dari 8 kelas digunakan sebagai dataset untuk pembelajaran mendalam antara lain Agapornis Cana, Agapornis Taranta, Agapornis Pullaria, Agapornis Roseicollis, Agapornis Lilianae, Agapornis Nigrigenis, Agapornis Personata dan Agapornis Ficheri, total citra yang digunakan 800 citra dengan pembagian training 70% dan testing 30%. Implementasi CNN untuk klasifikasi citra burung lovebird. CNN yang digunakan terdiri dari 2 lapisan konvolusi, 2 lapisan, 1 lapisan flatten layer, 2 lapisan dense, dan 2 lapisan Dropout. Tingkat akurasi yang diperoleh dari model CNN dengan nilai learning rate 0.01 dan jumlah epoch sebanyak 100 mendapatkan nilai akurasi 60,83%.
Suppressed migrating diurnal tides in the mesosphere and lower thermosphere region during El Niño in northern winter and its possible mechanism
Authors: Cen Yetao , Yang Chengyun , Li Tao , Russell III James M. , Dou Xiankang 
Published: June 2022

Abstract. As observed by the Sounding of the Atmosphere using Broadband Emission
Radiometry (SABER), the migrating diurnal tide (DW1) in the upper mesosphere
and lower thermosphere (MLT) region decreased by ∼ 10 %
during El Niño in the Northern Hemisphere (NH) winter
(December–January–February) from 2002 to 2020. According to the multiple
linear regression (MLR) analysis, the linear effects of El Niño on the
tropical MLT DW1 are significantly negative in both SABER observations and
SD-WACCM (the Specified-Dynamics version of the Whole Atmosphere Community
Climate Model) simulations. The DW1 response to El Niño in NH winter is
much stronger than its annual mean response. As suggested by SD-WACCM
simulation, Hough mode (1, 1) dominates the DW1 tidal variation in the
tropical MLT region. The consistency between the (1, 1) mode in the
tropopause region and the MLT region and the downward phase progression from
15 to 100 km indicates the direct upward propagation of DW1 from the
excitation source in the troposphere. The suppressed DW1 heating rates in
the tropical troposphere (averaged over ∼ 0–16 km and
35∘ S–35∘ N) during El Niño winter contribute to the
decreased DW1 tide. To evaluate the effect of the gravity waves (GWs) on the
tide, the GW forcing is calculated as the GW drag weighted by the phase
relation between DW1 GW drag and DW1 wind. The negative GW forcing in the
tropical upper mesosphere would significantly suppress the MLT DW1 tide
during El Niño winter. This tide–GW interaction could be a dominant
mechanism for DW1 response in the MLT to El Niño. During El Niño
winter, the increased ratio of the absolute and planetary vorticity (R)
suppresses the waveguide and thus the DW1 amplitude in the subtropical
mesosphere. However, the effect of the waveguide might play a secondary role
due to its relatively weak response.
Horizontal geometry of trade wind cumuli – aircraft observations from a shortwave infrared imager versus a radar profiler
Authors: Dorff Henning , Konow Heike , Ament Felix 
Published: June 2022

Abstract. This study elaborates on how aircraft-based horizontal geometries of trade wind cumulus clouds differ whether a one-dimensional (1D) profiler or a two-dimensional (2D) imager is used. While nadir profiling devices are limited to a 1D realization of the cloud transect size, with limited representativeness of horizontal cloud extension, 2D imagers enhance our perspectives by mapping the horizontal cloud field. Both require high resolutions to detect the lower end of the cloud size spectrum. In this regard, the payload aboard the HALO (High Altitude and LOng Range Research Aircraft) achieves a comparison and also a synergy of both measurement systems. Using the NARVAL II (Next-Generation Aircraft Remote-Sensing for Validation Studies) campaign, we combine HALO observations from a 35.2 GHz cloud and precipitation radar (1D) and from the hyperspectral 2D imager specMACS (Munich Aerosol Cloud Scanner), with a 30 times higher along-track resolution, and compare their cloud masks. We examine cloud size distributions in terms of sensitivity to sample size, resolution and the considered field of view (2D or 1D). This specifies impacts on horizontal cloud sizes derived from the across-track perspective of the high-resolution imager in comparison to the radar curtain. We assess whether and how the trade wind field amplifies uncertainties in cloud geometry observations along 1D transects through directional cloud elongation. Our findings reveal that each additional dimension, no matter of the device, causes a significant increase in observed clouds. The across-track field yields the highest increase in the cloud sample. The radar encounters difficulties in characterizing the trade wind cumuli size distribution. More than 60 % of clouds are subgrid scale for the radar. The radar has issues in the representation of clouds shorter than 200 m, as they are either unresolved or are incorrectly displayed as single grid points. Very shallow clouds can also remain unresolved due to too low radar sensitivity. Both facts deteriorate the cloud size distribution significantly at this scale. Double power law characteristics in the imager-based cloud size distribution do not occur in radar observations. Along-track measurements do not necessarily cover the predominant cloud extent and inferred geometries' lack of representativeness. Trade wind cumuli show horizontal patterns similar to ellipses, with a mean aspect ratio of 3:2 and having tendencies of stronger elongation with increasing cloud size. Instead of circular cloud shape estimations based on the 1D transect, elliptic fits maintain the cloud area size distribution. Increasing wind speed tends to stretch clouds more and tilts them into the wind field, which makes transect measurements more representative along this axis.
The HYPERMAQ dataset
Authors: Lavigne Héloïse , Dogliotti Ana , Doxaran David , Shen Fang , Castagna Alexandre , Beck Matthew , Vanhellemont Quinten , Sun Xuerong , Gossn Juan Ignacio , Pannimpullath Renosh , Sabbe Koen , Vansteenwegen Dieter , Ruddick Kevin 
Published: June 2022

Abstract. Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze Estuary in China and the Gironde Estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina) and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022), https://doi.pangaea.de/10.1594/PANGAEA.944313.
Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS
Authors: Gyawali Dhiraj Raj , Bárdossy András 
Published: June 2022

Abstract. Given the importance of snow on different land and atmospheric processes, accurate representation of seasonal snow evolution, including distribution and melt volume, is highly imperative to any water resources development trajectories. The limitation of reliable snowmelt estimation in mountainous regions is, however, further exacerbated by data scarcity. This study attempts to develop relatively simple extended degree-day snow models driven by freely available snow-cover images. This approach offers relative simplicity and a plausible alternative to data-intensive models, as well as in situ measurements, and has a wide range of applicability, allowing for immediate verification with point measurements.
The methodology employs readily available MODIS composite images to calibrate the snowmelt models on spatial snow distribution in contrast to the traditional snow-water-equivalent-based calibration. The spatial distribution of snow-cover is simulated using different extended degree-day models with parameters calibrated against individual MODIS snow-cover images for cloud-free days or a set of images representing a period within the snow season. The study was carried out in Baden-Württemberg (Germany) and in Switzerland. The simulated snow-cover data show very good agreement with MODIS snow-cover distribution, and the calibrated parameters exhibit relative stability across the time domain. Furthermore, different thresholds that demarcate snow and no-snow pixels for both observed and simulated snow cover were analyzed to evaluate these thresholds' influence on the model performance and identified for the study regions.
The melt data from these calibrated snow models were used as standalone inputs to a modified Hydrologiska Byråns Vattenbalansavdelning (HBV) without the snow component in all the study catchments to assess the performance of the melt outputs in comparison to a calibrated standard HBV model. The results show an overall increase in Nash–Sutcliffe efficiency (NSE) performance and a reduction in uncertainty in terms of model performance. This can be attributed to the reduction in the number of parameters available for calibration in the modified HBV and an added reliability of the snow accumulation and melt processes inherent in the MODIS calibrated snow model output.
This paper highlights that the calibration using readily available images used in this method allows for a flexible regional calibration of snow-cover distribution in mountainous areas with reasonably accurate precipitation and temperature data and globally available inputs. Likewise, the study concludes that simpler specific alterations to processes contributing to snowmelt can contribute to reliably identify the snow distribution and bring about improvements in hydrological simulations, owing to better representation of the snow processes in snow-dominated regimes.
On the stochastic stability in the large of solutions of the nonlinear second-order differential equations perturbed by white noise. II
Authors: Шумафов Магомет Мишаустович , Панеш Тимур Аскербиевич , Хаваджа Мухаммед Ареф 
Published: June 2022

В работе рассматриваются нелинейные автономные дифференциальные уравнения второго порядка, возмущенные белым шумом. Она является продолжением предыдущей статьи и представляет собой вторую часть работы авторов. В первой части статьи были даны предварительные сведения из теории вероятностей и теории случайных процессов. Здесь, во второй части, дается конструкция стохастических интегралов Ито и Стратоновича, устанавливается связь между ними, приводятся их основные свойства, получены достаточные условия асимптотической устойчивости в целом по вероятности решений стохастических уравнений Ито второго порядка. Кроме этого, даны вероятностные оценки пребывания случайной траектории в ограниченной области фазовой плоскости. В качестве примера рассматривается гармонический осциллятор, возмущенный белым шумом.
This paper is a continuation of the previous paper and presents the second part of the authors’ work. In the work, nonlinear autonomous second-order differential equations with random right-hand sides of the type of white noise are considered. In the first parts of the work, we present some mathematical preliminaries from probability theory and stochastic processes. Here, in the second part, we give a construction of stochastic Ito’s and Stratonovich’s integrals, the connection between them is established, and their basic properties are presented. In the work, sufficient conditions for stochastic asymptotic stability in the large of solutions of the second-order Ito’s stochastic differential equations are obtained. The probabilistic estimations of the remaining of a random trajectory in a bounded region of the phase plane are given. As an example, harmonic oscillator perturbed by white noise random process is considered.
Analysis of technologies for the development of mobile applications and information systems based on the android operating system
Authors: Фешина Елена Васильевна , Куштанок Светлана Аскеровна , Крамаренко Татьяна Анатольевна , Скорбатюк Ростислав Ярославович 
Published: June 2022

Проводится анализ наиболее популярных в современном мире технологий создания мобильных приложений на базе операционной системы Android. В настоящее время существует множество способов и технологий, позволяющих создавать приложения, информационные системы для данной операционной системы, которые призваны решать множество стоящих проблем. Операционная система Android - самая популярная технология для обеспечения связи и взаимодействия между физической частью мобильного телефона и программным обеспечением. Платформы Android Studio и Flutter от компании Google, фреймворк React Native от компании Facebook, Xamarin от Microsoft и среда разработки Unity3D от Unity Technologies на сегодняшний день являются самыми популярными, используемыми для традиционной разработки. От правильного выбора технологии разработки, от компетенции команды разработки проекта зависит качество разработанного программного продукта.
In the modern world, many technologies allow you to create applications, information systems for a given operating system, which are designed to solve many problems. The Android operating system is the most popular technology for communication and interaction between the physical part of a mobile phone and software. Google's Android Studio and Flutter, Facebook's React Native framework, Microsoft's Xamarin, and Unity Technologies' Unity3D development environment are by far the most popular platforms used for traditional development. The quality of the developed software product depends on the correct choice of development technology, on the competence of the project development team.
Analytical review of personal identification methods based on biometric characteristics
Authors: Частикова Вера Аркадьевна , Титова Анна Андреевна , Войлова Диана Олеговна 
Published: June 2022

Представлен обзор различных методов биометрической идентификации. Рассмотрена задача распознавания личности по физиологическим и поведенческим характеристикам. Результаты анализа показали, что метод идентификации лица по термограмме является наиболее актуальным в данный момент. При голосовой идентификации распространенными методами извлечения признаков являются методы вычисления кепстральных коэффициентов: мел-частотных и на основе линейного предсказания. Было выявлено, что сочетание нескольких типов измерений позволяет повысить уровень безопасности, надежность и эффективность работы систем идентификации. Мультимодальная биометрическая система увеличивает объем и разнообразие входной информации. Поскольку сверточные нейронные сети демонстрируют наиболее высокие результаты в задачах детектирования, сегментации и классификации объектов, в данной работе также предложен подход идентификации личности на основе сетей данного типа.
This work presents an overview of various methods of biometric identification. The authors consider the problem of personality recognition by physiological and behavioral characteristics. The results of the analysis show that the method of identifying a person by a thermogram is the most relevant at a particular moment. In voice-based identification, common methods for extracting features are methods for calculating cepstral coefficients: mel-frequency and based on linear prediction. It has been found that the combination of several types of measurements can improve the security, reliability and efficiency of identification systems. The multimodal biometric system increases the volume and variety of input information. Since convolutional neuronal networks demonstrate the highest results in the tasks of detection, segmentation and classification of objects, this paper also proposes an approach to identifying a person based on networks of this type.
Blockchain validation framework for COVID-19 testing kit
Authors: Iqbal Md. , Varshney Manish 
Published: June 2022

Throughout the current pandemic situation, the functioning of the Covid-19 testing kits is very critical owing to its necessity in the diagnosis of the disease. The fabrication and supply of these kits is taking place at a large scale, therefore there may be some malpractices in the supply process. The authenticity of the kits is primarily significant and to keep the globe from using the defective kits is a big challenge. Therefore before using the kit, it must have permitted by some authentic and authoritative medical body such as EUA, ICMR, CCMB, etc. So, the validation of these testing kits is vital for the fair conveyance from production houses to the various agencies.. In this paper, we will discuss the framework which assures that the testing kit is approved by different metrics so that any malpractice in the supply chain is detected. The parties which are involved in these supply chain such as Validation, Notary and Manufacturers. Along with the above mentioned parties, buyer also acting an essential part and can inspect whether the kits is approved or not through its batch number. For inspection purpose, the framework is developed using Blockchain technology.
Persahabatan Menurut Alkitab dan Relevansinya pada Masa Kini
Authors: Barus Mariati 
Published: June 2022

Friendship according to a common understanding and the Bible must be different. Friendship in general terms is only based on love between people. While friendship according to the Bible there is certainly a basic word of God that must be done in friendship or a spiritual attraction between each other which of course this spiritual attraction certainly comes from God. In this journal, the author will write what friendship is according to the Bible and its relevance today. Here the writer brings up two stories of friendship that are very well known in the Bible namely friendship between David and Jonathan and Friendship between Mary and Elizabeth. The results obtained are found that friendship is a relationship between two or more people, where they have the bond of love in the same God in which there is mutual concern, affirmation, empathy, willingness to sacrifice everything-including lives, protect each other and not exist jealousy.AbstrakPersahabatan menurut pengertian umum dan Alkitab pastilah berbeda. Persahabatan menurut pengertian umum hanyalah didasarkan karena kasih antar manusia. Sedangkan persahabatan menurut Alkitab tentunya ada dasar firman Tuhan yang harus dilakukan dalam persahabatan itu atau adanya daya tarik rohani antara satu sama lain yang mana daya tarik rohani ini tentnya datangnya dari Tuhan. Dalam jurnal ini penulis akan menulis apa itu persahabatan menurut Alkitab dan relevansinya pada masa kini. Di sini penulis mengangkat dua kisah persahabatan yang sangat dikenal di dalam Alkitab yakni persahabatan antara Daud dan Yonatan serta Persahabatan antara Maria dan Elisabet. Metode yang dipergunakan adalah metode deskriptif dengan memperhatikan literatur-literatur. Hasil yang didapat adalah ditemukan bahwa persahabatan adalah hubungan antara dua orang atau lebih, dimana mereka memiliki ikatan kasih di dalam Tuhan yang sama yang didalamnya ada saling memperhatikan, meneguhkan, empati, rela berkorban segala sesuatu termasuk nyawa, saling melindungi satu sama lain dan tidak ada kecemburan.
Memahami Dosa Dalam Dua Perspektif:Dosa Yang Mendatangkan Maut dan Dosa Yang Tidak Mendatangkan Maut Menurut 1 Yohanes 5:16-17
Authors: Gulo Ester 
Published: June 2022

AbstractOne of the obstacles for humans in obeying God's commands is sin. The act of sin is often times associated with the death of the eternal. So the study 's authors aimed to describe about sin in two perspectives, namely sin that brings death and sin that does not bring death according to 1 John 5:16-17. Therefore, the sin that is intended by the apostle John is different with the sense of sin that is understood by the people believe when this. Sin that does not incur death is sin which is not required on the death of the eternal. The cause of this sin is the result of carelessness in acting thus rated as a sin which is not expected. Sin that does not lead to the death of this also involves the problem of inner that is not just watchfulness will power of sin. Because of it, to kind of sin is still obtain assurance salvation or life that is eternal of God. It is this that distinguishes the sin is the sin that brings death. With such a sin that brings death is sin that has been rewarded with the death of the eternal as the reward of deeds are done. Sin that brings death characterized by properties that do not have the characteristics of a child of God because actions they lead to the rejection of the gospel who does not walk in the way the truth of Christ. In a study of this, the authors describe it through the method of exegesis to understand the intent in paragraph of this. Besides that, the authors also take some of the material of the interpreters of the Bible and journal are associated with discussion Keywords: Sin, Death, John, Life, Prayer, Eternal
Runaway futures, technology and the collapse of understanding in times of unprecedented change
Authors: Simon Zoltán Boldizsár , Narita Felipe Ziotti 
Published: June 2022

Zoltán Boldizsár Simon é pesquisador da Universidade de Bielefeld (Alemanha) e professor assistente da Universidade de Leiden (Países Baixos). Suas pesquisas têm sido construídas a partir de interfaces entre o pensamento histórico e as mudanças sociais decorrentes da tecnologia e do antropoceno no mundo contemporâneo. Ele é autor, entre outros, de The Epochal Event (Palgrave, 2020), History in Times of Unprecendeted Change (Bloomsbury, 2019) e Os teóricos da história tem uma teoria da história? (Milfontes, 2019). Entrevista organizada e conduzida em inglês, entre janeiro e maio de 2020, por Felipe Ziotti Narita. Apoio de Sinmi Akin-Aina para proofreading e revisão final.
Zoltán Boldizsár Simon is a research fellow at Bielefeld University (Germany) and assistant professor at Leiden University (Netherlands). He has recently been working at the intersection of historical thinking and societal challenges posed by technology and the Anthropocene in the contemporary world. His recent publications include The Epochal Event (Palgrave, 2020), History in Times of Unprecedented Change (Bloomsbury, 2019) and Os teóricos da história tem uma teoria da história? (Milfontes, 2019). The interview was organized and translated by Felipe Ziotti Narita. Proofreading: Sinmi Akin-Aina. Bilingual version available here (Portuguese-English).