bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS FUNDAMENTAL CRYPTOCURRENCY TERHADAP FLUKTUASI HARGA (STUDI KASUS CRYPTOCURRENCY KOIN CARDANO PERIODE 2022-2023)
Authors: Hendreo Chornolius 
Published: September 2023

<p align='justify'> This research aims to analyze Cryptocurrency Fundamentals Against Price Fluctuations (Case Study of Cardano Coin Cryptocurrency for the period 2022 to 2023). This research will analyze the relationship between fundamental factors which include variables such as market capitalization and trading volume with Cardano Coin price fluctuations. This research was conducted at the explanatory level, which aims to explain the causal relationship between the variables involved through hypothesis testing. The method used in this research involves data processing using the SPSS version 26 program. The research results show that the two independent variables, namely Average Trading Volume (X1) and Average Market Capitulation (X2), have a significant influence on Average Price -average (Y) on Cardano cryptocurrency. The high calculated t coefficient values for Average Trading Volume (X1) and Average Market Capulation (X2) indicate that they have a strong influence on Cardano price fluctuations. Average Trading Volume (X1) has a significant positive relationship with Average Price (Y). Average Market Capulation (X2) has a significant negative relationship with Average Price (Y). </p>
<p><strong>Keywords : </strong>Cryptocurrency, Market Capitalization, Trading Volume, Price Fluctuation, Cardano Coin.</p>
KEWAJIBAN NOTARIS DALAM MENJAGA DATA PRIBADI SECARA DIGITAL PERSEPEKTIF UNDANG-UNDANG PERLINDUNGAN DATA PRIBADI INDONESIA
Authors: Wicaksono R. Budi Prabowo 
Published: September 2023

Perkembangan teknologi menunjukan perubahan yang signifikan. Era Revolusi Industri 4.0 menuju kepada era Society 5.0 berdampak pada industri hukum tekrhusus pada bidang keperdataan. Profesi dan jabatan yang terdampak pada adanya perkembangan teknologi salah satunya adalah notaris. Saat ini notaris tidak hanya menggunakan media konvensional dalam pekerjaan. Mereka mulai menggunakan teknologi dalam penyimpanan data dan dokumen. Notaris yang menggunakan media elektronik disebut dengan Cyber Notary. Tentu perubahan ini akan berdampak pada aspek hukum terkhusus mengenai pemrosesan dan penyimpanan data pribadi. Fokus dari penelitian ini akan tertuju pada penyimpanan data dari notaris yang dikaji dalam konteks Hukum Perlindungan Data Pribadi. Jenis penelitian ini merupakan penelitian normatif. Pendekatan yang digunakan penulis adalah pendekatan conceptual dan pendekatan perundang-undangan. Sumber data yang digunakan oleh penulis adalah sumber data sekunder yang terdiri atas sumber hukum primer, sumber hukum sekunder dan sumber hukum tersier. Metode pengumpulan data yang digunakan oleh penulis menggunakan metode pengumpulan studi kepustakaan (library research). Analisis data yang digunnakan penulis dalam penelitian ini adalah analisis data secara kualitatif deskriptif dengan pola penalaran deduktif. Hasil dari penelitian ini; pertama, klasifikasi subjek hukum notaris dalam konteks penyelenggaraan data pribadi dipandang sebagai orang perorangan. Selain itu notaris juga dipandang sebagai pengendali data pribadi dalam UU PDP. Kedua, notaris dengan berlandaskan UU Jabatan Notaris sudah memiliki kewajiban untuk menjaga kerahasiaan data terkhusus pada kerahasiaan akta. Ketiga, kewajiban hukum notaris dalam penyimpanan data pribadi sebagai pengendali data pribadi tentu akan tunduk pada UU Perlindungan Data Pribadi. Kewajiban dari pengendali data pribadi diuraikan secara rinci dalam UU PDP beserta sanksi yang menyertainya.
Pendidikan Anak Pra-Natal sampai dengan Post-Natal Perspektif Islam
Authors: Nayirah Nayirah , Basir Abdul , Ruwaida Hikmatu , Nasir Muhammad 
Published: September 2023

<span lang="EN-ID">Puncak dari kebahagiaan dari pasangan suami dan istri yang baru menikah adalah ketika diberikan amanah oleh Allah seorang anak. Anak adalah suatu pemberian yang sangat ditungu oleh sepasang suami istri, pun juga anak akan menjadi aset tabungan untuk orang tuanya di akhirat kelak, sebagaaimana yang tertulis di dalam hadits bahwa anak yang shaleh jika masih hidup sesudah Ibu dan Bapaknya meninggal dunia, maka anak itu dapat memberikan manfaat terhadap mereka melalui do’a yang dipanjatkannya. Dan jika anak shaleh itu meninggal dunia terlebih dahulu daripada kedua orang tuanya, maka anak itu dapat pula memberikan manfaat terhadap kedua orang tuanya kelak di hari kiamat. Maka untuk itu sudah sepatutnya sedini mungkin, calon pasangan suami dan istri yang nantinya berumah tangga dapat membentuk kepribadian anak dengan cara agar suami menjaga kehamilan istri dengan saling bekerjasama. bekerjasama dalam menjaga kehamilan seorang istri, dengan memberikan Pendidikan sejak calon bayi masih dalam kandungan (Pra-natal), hingga setelah melahirkan (Post-natal) bayi tersebut adalah kewajiban semua orang tua di dunia ini, mengenalkan tauhid kepada anak dimulai sejak dini, mengenakan kalimat thayyibah dan tentang keagamaan lainnya hendaknya dimulai dari sejak calon bayi di dalam kandungan. Pendidikan yang harus di implementasikan untuk calon bayi sejak dalam kandungan dan setelah dilahirkan. </span>
Evaluating the aerodynamics of different passenger vehicle configurations
Authors: Piratla Soumik 
Published: September 2023

<p> Aerodynamics, especially for passenger vehicles, have an enormous impact on the design and performance. Consequently, the design of the vehicle influences the drag and lift forces acting on it. When the drag force on the vehicle increases, or when the drag coefficient increases, the energy required to move the body in space increases. For a car, increased drag causes decreased speed and increased load on the engine and powertrain. Aerodynamic efficiency is especially critical to reducing fuel consumption and, thus, the vehicle’s carbon footprint. Aerodynamic efficiency is typically defined using the ratio of a body’s lift to drag, or the L/D ratio; thus, an efficient design maximises feasible lift while minimising drag. Increased lift often is produced from conditions like elevated speeds that also increase drag; trades must be considered for added features. Another consideration is minimising the wake of a vehicle, as it is heavily responsible for stability and drivability. It is therefore critical to determine which aerodynamic modification would best satisfy these criteria for each vehicle configuration. In this study, different vehicle modifications are explored, including the addition of spoilers, diffusers and curved front bumper profiles. Calculations and CFD analysis generally reserved for high-performance vehicles will be applied to passenger vehicles like SUVs and sedans in this study. The results show that on average a 16% reduction in drag coefficient and 232% reduction in lift coefficient across the board. The highest improvements in drag coefficient is seen in hatchbacks whereas the highest improvement in lift coefficient is seen in sedan and SUV cases. </p>
Weakly Correlated Multimodal Sentiment Analysis: New Dataset and Topic-oriented Model
Authors: Liu Wuchao , Li Wengen , Ruan Yu-Ping , Shu Yulou , Chen Juntao , Li Yina , Yu Caili , zhang Yichao , Guan Jihong , Zhou Shuigeng 
Published: September 2023

<p>Existing multimodal sentiment analysis models focus more on fusing highly correlated image-text pairs, and thus achieves unsatisfactory performance on multimodal social media data which usually manifests weak correlations between different modalities. To address this issue, we first build a large multimodal social media sentiment analysis dataset RU-Senti which contains more than 100,000 image-text pairs with sentiment labels. Then, we proposed a topic-oriented model (TOM) which assumes that text is usually related to a certain portion of the image contents and the image-text pairs of the same topic often have similar sentiment tendencies. TOM learns the topic information from textual content and designs a topic-oriented feature alignment module to extract textual semantics correlated information from images, thus achieving the alignment between two modalities. Then, TOM utilizes a transformer encoder initialized with the parameters from a pre-trained vision-language model to fuse the multimodal features for sentiment prediction. According to the experiments over the public MVSA-Multiple dataset and our RU-Senti dataset, RU-Senti is of high suitability for studying weakly correlated multimodal sentiment analysis, and the proposed TOM model also largely outperforms the SOTA mulitimodal sentiment analysis methods and pre-trained vision-language models. The RU-Senti dataset and the code of TOM are available at https://github.com/PhenoixYANG/TOM. </p>
Mapping the Commercial VPN Ecosystem from Cost-Quality Perspective
Authors: Anjum Ali , Giotsas Vasileios 
Published: September 2023

<p>Reliance on commercial virtual private networks has increased manifold in the recent past. This paradigm shift of global internet users is primarily driven by their need of online privacy, censorship circumvention, and accessing geo-filtered content among other motivations. Variety of VPN services underscored by their opaque nature captures huge user base which is technically unsophisticated, and has very limited means to verify claims of a given VPN service. Capitalizing on extensive literature and online review, we have selected a sample of 60 x VPNs (from categories of free as well as paid services) which adequately represents the commercial VPN market from cost-quality perspective. An elaborate eco-system analysis reveals significant variations against the claims of service providers. Our crystallized infrastructure testing methodology executed over selected VPNs reveals: (1) Anonymity index of free versus paid VPNs differs widely at all levels i.e., IP, subnet, country and ISP; (2) 54% of selected VPN’s server locations in attractive geographic locations are virtual instead of physical; (3) 4/10 VPN tested services have been found to share their vantage points at subnet level; and (4) Selective co-location of 22% vantage points have also been observed. </p>
Artificial Intelligence vs. Natural Stupidity
Authors: Lo Nostro Pierandrea 
Published: September 2023

The number of articles, contributions, TV reports and tweets, squeaks and cheeps on the social networks that deal with the emerging and invasive role of artificial intelligence (AI) in several aspects of our life is increasing enormously, day by day.
Like for other hot issues, the use of AI has bright and dark sides. Some are sincerely excited by the potential beneficial outcomes of its applications, others are scared by the potential drawbacks, including some challenging limitations to human freedom.
AI is an incredibly powerful machine. It can make calculations and infer conclusions starting from huge datasets and with such a speed that is absolutely inconceivable for a human being. However the history of technology teaches us that the problem is always in the mind and in the hands of the user and, particularly in this case, of the developer. It is not necessary to be sluggishly reluctant to accept innovations and changes to advance serious doubts on the consequences of AI. Some of these effects are, at the moment, unforeseeable.
THE METHOD OF FUZZY EVALUATION OF THE DATA STRUCTURE IN OCCUPATIONAL PATHOLOGY
Authors: Сафронов Р.И. , Родионова С.Н. , Лях А.В. , Аксенов В.В. 
Published: September 2023

Анализ распространенных методов оценки информативности показывает, что для получения надежных оценок необходимо иметь выборки большого объема, что не всегда достижимо. Это объясняется тем, что в задачах прогнозирования, ранней диагностики, оценки степени тяжести и динамики развития патологии современная медицинская наука не знает четко установленных границ между здоровьем и предболезнью, между предболезнью и болезнью и др. Предложенный метод оценки уровня доверия к обучающим выборкам и пространству признаков, отличающийся учетом таких составляющих, как уровень репрезентативности, объем выборки, уровень доверия к выборке, информативность, уровень доверия к составу признаков и количество информативных признаков, которые агрегируются в нечеткие оценки уровней доверия к обучающим выборкам и пространству признаков, позволяет при синтезе соответствующих решающих правил учитывать роль обучающих выборок и информативных признаков в уровне доверия к получаемым математическим моделям, снижая риски от чрезмерного доверия к «машинным» заключениям. Предложенный метод нечеткой оценки степени информативности производственных факторов риска позволяет повысить качество производимых оценок в условиях неполного и нечеткого описания исследуемой структуры данных
An analysis of common methods for assessing informativeness shows that in order to obtain reliable estimates, it is necessary to have large samples, which is not always achievable. This is due to the fact that in the tasks of forecasting, early diagnosis, assessment of the severity and dynamics of pathology, modern medical science does not know clearly defined boundaries between health and pre-disease, between pre-disease and disease, etc. The proposed method for assessing the level of confidence in training samples and the feature space, which differs by taking into account such components as the level of representativeness, sample size, the level of confidence in the sample informativeness, the level of confidence in the composition of features and the number of informative features that are aggregated into fuzzy estimates of the levels of confidence in training samples and the feature space, allows for the synthesis of appropriate decision rules to take into account the role of training samples and informative features in the level of confidence in the resulting mathematical models, reducing the risks of excessive trust in "machine" conclusions. The proposed method of fuzzy assessment of the degree of informativeness of production risk factors makes it possible to improve the quality of estimates made in conditions of incomplete and fuzzy description of the data structure under study
DEVELOPMENT OF AUTOMATED FORECASTING SYSTEM DEVELOPMENT OF PATHOLOGIES IN COMORBID PATIENTS AFTER SUFFERED COVID-INFECTION
Authors: Копалиани А.Р. , Коровин Е.Н. , Новикова Е.И. , Пантелеев И.Н. 
Published: September 2023

Коморбидность является важной проблемой современной медицины, изучение которой представляет приоритетную задачу здравоохранения. Согласно литературным данным, по распространенности коморбидность в некоторых странах охватывает треть населения, при этом отмечена тенденция к росту числа таких пациентов во всех возрастных группах. В контексте пандемии COVID-19 наличие сопутствующей патологии у пациентов является значимым фактором риска, влияющим на течение и прогноз новой коронавирусной инфекции. Чтобы правильно назначить лечение такому пациенту врачу необходимо проанализировать достаточно большой объем информации. Помочь врачам и освободить их время могут разрабатываемые программные модули, которые на основе введенных специалистом данных, ставят диагноз. В статье рассматривается создание и работа такого программного продукта для повышения лечебно-профилактических мероприятий у коморбидных пациентов после перенесенной COVID-19-инфекции, указаны входные и выходные данные системы, приведены архитектуры нейросети, составлена блок-схема работы программы, с помощью Delphiразработан ее интерфейс. Вместе с тем проанализирован рынок предложений и составлена таблица сравнения разработанной программы с тремя существующими аналогами. Основной целью создания программного продукта является ускорение процесса прогнозирования развития различных патологий для коморбидного пациента, перенесшего COVID-инфекцию
Comorbidity is an important problem of modern medicine, the study of which is a priority task of public health. According to literature data, the prevalence of morbidity in some countries covers a third of the population, while there is a tendency to increase the number of such patients in all age groups. In the context of the COVID-19 pandemic, the presence of concomitant pathology in patients is a significant risk factor affecting the course and prognosis of a new coronavirus infection. In order to properly prescribe treatment to such a patient, the doctor needs to analyze a sufficiently large amount of information. To help doctors and free up their time can be developed software modules that, based on the data entered by a specialist, make a diagnosis. The article discusses the creation and operation of such a software product to enhance therapeutic and preventive measures in comorbid patients after COVID-19 infection, the input and output data of the system are indicated, neural network architectures are given, a flowchart of the program is compiled, its interface is developed using Delphi. At the same time, the market of offers has been analyzed and a comparison table of the developed program with three existing analogues has been compiled. The main purpose of creating a software product is to accelerate the process of diagnosis for a comorbid patient who has suffered COVID-19 infection
Genetic parameters and association analysis for grain yield and yield attributing traits in rice (Oryza sativa L.) germplasm lines
Authors: Mohan Yeshala Chandra , Krishna Kasanaboina , Krishna Lavuri , Singh Thakur Veerendar Jeet , Jagadeeshwar R. 
Published: September 2023

The intensity of trait association and genetic variability of yield attributing variables in 217 rice genotypes was investigated during kharif 2018. The existence of genetic variability among the genotypes was demonstrated by analysis of variance, which recorded significant differences for all the seven studied parameters. The estimation of variability indicated that The full grain number per panicle (37.2 % and 34.1 %) & single plant yield (24.7 % and 20.55 %) had the highest intensity of phenotypic coefficients of variation (PCV) and genotypic coefficients of variation ( GCV), and High heritability along with high genetic advance as a per cent of mean (GAM) was found in Plant height (98.9 % and 20.8 %), panicle number per plant (95.4 % and 36 %), panicle length(96.8 % and 35.9 %), full grain number per panicle(99.5 % and 61.6 %), thousand seed weight (98.1 % and 40.25 %) and single plant yield (69.2 % and 35.2 %) , depicting additive gene action in inheritance of these parameters. A simple selection procedure can help to enhance these characteristics even further. Correlation and regression coefficient findings indicated that plant height (0.193**) and the full grain number per panicle (0.177**) had a significant impact on single plant yield. The full grain number per panicle (0.265**), followed by thousand seed weight (0.194**) and plant height (0.110**), had the maximum direct positive effect on single plant yield, as per path coefficient analysis. As a result, accessions with a higher full grain number per panicle, thousand seed weight and plant height would be suitable for yield enhancement programme.
Trait association studies in diverse genotypes of rice for their utilization in biofortification
Authors: Vanlalrinngama Caleb , Jha Banshidhar , Singh S. K. , Tigga A. , Kumar Bishawajit , Kumari Namata , Singh M. K. 
Published: September 2023

Rice is the staple food crop for more than half of the world population. Thus, rice varieties enriched with various micronutrients qualifies as a better alternative to combat micronutrient deficiency. The present investigation was undertaken to study the degree and direction of association for grain characters especially grain Zinc (Zn) content and grain Iron (Fe) content in 30 genotypes of rice. The correlation coefficient analysis findings at the phenotypic level were used to determine whether the various traits were correlated with yield and the significance of the relationship among them. This data shows significant positive correlation at the phenotypic and genotypic level for grain yield per plant with days to 50% flowering (0.356 & 0.373), number of panicles per plant (0.340 & 0.522), panicle length (0.293 & 0.356), test weight (0.307 & 0.346) and kernel breadth (0.283 & 0.339). The signs (positive or negative) reflect the consequence of increasing or decreasing one variable over the other. The traits plant height ((-0.399 & -0.410) and kernel L/B ratio (-0.237 & -0.291) showed negative correlation with yield indicating that shorter plants as well as grains having shorter length with more breadth are more likely to produce more yield thus selection should be carried out against height . One possible reason for this could be that in plants with shorter stature have higher nutrient use efficiency and are resistant to lodging. The traits days to 50% flowering, number of panicles per plant, panicle length, and test weight and kernel breadth showed positive correlation indicating that selection towards higher values for these traits would consequently improve the yield. It was also found that the traits Zn and Fe content were positively correlated with each other implying that simultaneous selection of these traits could be done for the purpose of biofortification.
Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
Authors: Rahangdale Shivangi , Lakhani J P , Singh S K , Barela Akash , Kumar Pratik , Prajapati S S 
Published: September 2023

Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identification of superior mungbean genotypes. Following Tocher's technique, the 40 genotypes were divided into 7 clusters in accordance with their genetic distance. Among them four clusters were polygenotypic and three were monogenotypic. The genotypes of cluster IV and VII showed highest (40.51) inter cluster distance followed by cluster III and VII (39.04). Cluster V has been discovered to have the largest intra-cluster distance. In order to increase the genetic diversity of Vigna radiata, genotypes from these clusters may be crossed. Based on Principal Component Analysis results, 5 PCs explained 75.87% of the variation among the 14 parameters and had eigen values greater than unit. Only six genotypes—TJM-37, TJM-134, TJM-140, TJM-235, Shikha, and PM-1632—contained with favourable yield and quality associated PCs, and had outstanding remark for yield traits—out of all genotypes contributing their existence in more than one PC with high PC score. These lines may be used in hybridization programmes to transmit desirable features, such as high yield and high quality, to recipient mungbean genotypes, resulting in the creation of promising cultivars.