bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing salinity impacts on crop yield and economic returns in the Central Valley
Authors: Nicolas Floyid , Kamai Tamir , Ben-Gal Alon , Ochoa Jose , Daccache Andre , Ogunmokun Felix , Kisekka Isaya
Published: April 2023

Salt accumulation in the root zone can impair crop yields and profitability. This study utilized a biophysical model to evaluate the economic and environmental impacts of groundwater salinity on the yields and profits for four crops (alfalfa, almonds, table grapes, and processing tomatoes) across California's Central Valley. The model analyzed five different levels of groundwater/irrigation water salinity, which ranged from 0.5 to 5.5 dS/m, with up to 12 mm/day of irrigation water for simulation. The results showed that the model's relative yield prediction was best for alfalfa, while the profits prediction was best for almonds. The study also found that an irrigation water salinity level of 5.5 dS/m could cause a decrease in the relative yield of almonds by up to 40%. The spatial component developed for the model indicated that yield and profits would vary based on soil type and water salinity across the Valley. At a daily irrigation rate of 3 mm, no profits were predicted. When the daily irrigation was increased to 6 mm/day, profits of up to $1000/ha were possible for alfalfa and processing tomatoes. Profits for almonds and grapes reached up to $15000/ha at 9 mm of daily irrigation. The study emphasized the importance of considering irrigation water quality in water allocation and trading decisions, as it significantly impacts crop profitability. The methodology developed in this study can be applied to other regions facing similar challenges of water scarcity and salinity.
Use of convalescent plasma in COVID-19: is clinical severity more important than the intervention?
Authors: Dutra Valéria de Freitas , de Andrade Heitor Duarte , Nunes Viviane Regina Hernandez , Elia Gabriella Mafra , Torres Juliane Roberta Dias , Bub Carolina Bonet , Yokoyama Ana Paula Hitomi , Kutner José Mauro
Published: April 2023

Background COVID-19 convalescent plasma (CCP) was used in the early period of the pandemic, but the effectivity of this treatment showed different results, especially because of the possible ineffectiveness of passive antibodies, when an inflammatory response is already established. Objectives: The aim of this study is to compare the outcomes of two different cohorts of COVID-19 patients that received CCP transfusion in the years 2020 and 2021. Design and setting: This is a retrospective study from a tertiary hospital in São Paulo, Brazil. Methods: We included a retrospective cohort of patients that received convalescent compassionate plasma and another group with patients from a previous clinical study. We collected clinical and laboratory data on the day of transfusion and five days later. Patients with hematological or immunological conditions were excluded. A p-value < 0·05 was considered significant.Results CCP did not show to interfere in the outcomes of severe COVID-19 patients, when comparing two different cohorts transfused with different volumes and titles of neutralizing antibodies. Despite the improvement in some laboratory parameters, there was not impact on clinical outcomes. Dialysis had a negative impact on the ICU stay, days of hospitalization and days of mechanical ventilation. Each higher point on the day 0 WHO scale reduced the probability of hospital and ICU discharge, and the risk of mechanical ventilation discontinuation. Conclusions: In conclusion, the use of dialysis and the assessed clinical severity represented by WHO scale on day 0 had influence on the outcomes, but not the CCP transfusion.
Causal association between myocardial infarction and atrial fibrillation: A bidirectional Mendelian randomization study
Authors: Rao Jin , Wang Zhinong
Published: April 2023

Background At present, many studies have shown a significant correlation between myocardial infarction (MI) and atrial fibrillation (AF), but few focus on the bidirectional causal relationship between MI and AF. Therefore, this Mendelian randomization (MR) study was designed to examine the bidirectional causality between MI and AF.Methods We used the publicly available summary statistical dataset of MI from genome-wide analysis studies (GWAS; ebi-a-GCST011364; case = 14,825, control = 2,680). The summary statistical dataset of AF was obtained from a European population GWAS (finn-b-I9_AF_REIMB; case = 10,516, control = 116,926). A two-sample bidirectional MR analysis was performed using analysis methods including inverse-variance weighted (IVW), MR-Egger, and weighted median.Results In site-specific MI analyses, we screened 30 single nucleotide polymorphisms (SNPs) from GWAS as instrumental variables (IVs). Causal association between MI and AF can be supported by IVW (beta = 0.349, SE = 0.057, P < 0.001), MR-Egger (beta = 0.398, SE = 0.131, P = 0.005), and weighted median (beta = 0.352, SE = 0.068, P < 0.001). In the reverse MR analyses, we screened 20 SNPs as IVs and the casual effect of AF on MI was observed by IVW (beta = 0.047, SE = 0.022, P = 0.033).Conclusions Our MR study results showed a good causal effect of MI on AF. The MR analysis also found a causal effect of AF on MI.
Cost-effective Detection Model for Injected Automatic Dependent Surveillance-Broadcast Messages (ADS-B) for Secure Aviation Control
Authors: Al-Tamimi Ahmed , Al-Haija Qasem Abu
Published: April 2023

Automatic Dependent Surveillance-Broadcast (ADS-B) is considered the future of aviation surveillance and traffic control as it allows different types of aircraft to transmit and gain information about their and other nearby aircraft's positions, velocity, and various other variables periodically. But, as this protocol still show that it lacks in terms of security and that researchers are still developing more methods and frameworks in order to secure this technology, we decided to join the initiative and propose an efficient detection method to help aid with detecting any attempts at injecting these messages which would cause multiple risks to aircrafts such as causing collision avoidance system failure, reporting wrong status of an aircraft, or even stealing it. This paper focused mainly on three different attacks; path modification, ghost aircraft injection, and velocity drift attacks. The dataset we utilized consisted of authentic messages captured from the OpenSky Network and generated injected messages using PyCharm. This study aims to provide a revolutionary methodology that, even in the face of new attacks (zero-day attacks), can successfully detect injected messages. The main advantage was utilizing a recent dataset to create more reliable and adaptive training and testing materials, which were then preprocessed before using different machine learning algorithms to feasibly create the most accurate and time-efficient model. The best outcomes of the binary classification were obtained with 99.14% accuracy, an F1-Score of 99.14%, and a Matthews' Correlation Coefficient (MCC) of 0.982. At the same time, the best outcomes of the multiclass classification were obtained with 99.41% accuracy, an F1-Score of 99.37%, and a Matthews' Correlation Coefficient (MCC) of 0.988. The dataset is thought to offer good outcomes, but the model still requires more testing and a bigger dataset, bearing in mind that the model still needs to be tested against other types of attacks.
The Ease of Doing Business in the ESG Framework at World Level
Authors: Costantiello Alberto , Leogrande Angelo
Published: April 2023

In this article, we estimate the variable Ease of Doing Business-EDB in the context of Environmental, Social and Governance-ESG model. We use data from ESG World Bank dataset. We have used data from 193 countries in the period 2011-2020. The level of EDB is positively associated, among others, to “Individuals Using the Internet”, “Government Effectiveness”, “Cooling Degree Days”, and negatively associated to “Agriculture, Forestry, and Fishing, Value Added”, “Forest Area” and “Strength of Legal Rights Index”. Furthermore, we have applied a cluster analysis with the application of the k-Means algorithm optimized with the Elbow Method and we have found the presence of four clusters. Finally, we have proposed a confrontation among eight different machine-learning algorithms to predict the future value of EDB. We have found that Linear Regression is the best algorithm and that the level of EDB is expected to improve of 1.66% for the analysed countries.
JEL Classification: D7, D70, D72, D73, D78.
Endodonti-Ortodonti Arayüzü: Kök Rezorpsiyonu ve Hasta Yönetimi ilişkisi
Authors: DEMİR ÇİÇEK Büşra , ÇİÇEK Orhan
Published: April 2023

Endodontik tedaviler ortodontik tedavi için bir kontrendikasyon oluşturmadığı için endodontik tedavi görmüş dişler ortodontik olarak hareket ettirilebilir. Bununla birlikte, endodontik ve ortodontik tedaviler arasındaki kesin ilişki hakkında literatürde veri eksikliği mevcut olup, bu ilişki ortodontik tedavinin pulpa ve periyodonsiyumda neden olduğu çeşitli etkilerden oluşur. Kök kanal dolgu materyalinin periapikal dokularda çok az ya da hiç irritasyona neden olmayacak şekilde tamamen kanal içinde olduğu durumlarda periapikal ve/veya pulpa lezyonu hemen iyileşmeye başlar. Apikal periyodontal onarım bu iyileşme sonrası başlamakla birlikte, kök kanalı sızıntısı veya rezin, silikon, çinko oksit öjenol, biyoseramik veya güta-perka gibi kök kanal dolgu materyallerinin periapikal bölgede kalması durumunda yabancı cisim granülomlarının oluşması tetiklenir. Bu granülomlar diş hareketini engellemese de, üç ayda bir periapikal radyografilerle konumları kontrol edilmeli ve daimi kanal dolgusunun da ortodontik tedavi tamamlanana kadar ertelenmesiyle psödo aşırı doldurma önlenebilir. Bu nedenle, pulpa hasarını kısıtlamak ve hatta iyileşmesine yardımcı olmak amacıyla istenen diş hareketini sağlayacak optimal kuvvet uygulanması önerilir. Ayrıca, ortodontik tedaviden önce endodontik tedavili dişlerin hem klinik hem de radyografik olarak periapikal durumunun kapsamlı değerlendirilmesi önemlidir. Bu derlemede, endodontik ve ortodontik tedavilerde kök rezorpsiyonu etkisi, tedavi planlamasında dikkat edilmesi gerekenler ve hasta yönetimi hakkında güncel bilimsel kanıtlar gözden geçirilerek konu hakkında bilgi düzeyinin arttırılması amaçlanmıştır.
Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography
Authors: DUMANLI Didem , GEDUK Gediz , ŞEKER Çiğdem
Published: April 2023

Purpose: Determining the anatomical localization and variations of the mandibular canal is of great importance in determining the treatment method to be preferred during the treatment of the patient and having an idea before surgery for possible complications. In this study, it was aimed to evaluate the anatomy and variations of the mandibular canal using Cone Beam Computed Tomography(CBCT).
Materials&Methods: CBCT images obtained from 300 jaws of 300 patients, 168 of whom were female and 132 male, were used. The examined mandibular canals were divided into four groups as retromolar, anterior canal, dental and buccolingual canals. Statistical analysis of the data was performed using descriptive statistics and chi-square tests.
Results: Bifid duct was detected in 149(49.2%) of the patients, but trifid duct was not detected. 73 (48.99%) of bifid canals were detected on the right and 76 (50.01%) on the left. Considering the relationship between age and gender and the presence of mandibular canal variation, no statistically significant result was found according to the chi-square test.When the right-left distribution of the channel variations evaluated in the study was examined, no statistically significant relationship was observed.(p>0.005)(p=0.688)
Conclusion: The prevalence of variation in the examined mandibular canals was found to be 49.66%. Anterior canal(35.6%) was most common, followed by retromolar canal(28.2%), dental canal(25.6%) and buccolingual canal(10.7%). According to the results obtained, the possibility of approximately 50 percent mandibular canal variation should be considered in prosthetic and surgical treatment interventions planned in the relevant regions.
PROTECTION GENERALIZED MODEL AGAINST CYBER ATTACKS ON VOIP
Authors:   Computer Security Problems of St. Petersburg Federal Research Center of the Russian Academy of Sciences, Izrailov Konstantin , Makarova Alexandra ,   The Bonch‑Bruevich Saint‑Petersburg state university of telecommunications, Shestakov Alexander ,   State Fire Service of EMERCOM of Russia
Published: April 2023

The goal of the study creation of a protection model against cyberattacks on information and telecommunication resources used in practice Internet voice exchange services (VoIP). Research methods: analysis of Best Practices and scientific publications, system analysis, criterion comparison. Result: systematization of the cyberattacks main methods on VoIP and methods of protection against them, based on existing Best Practices and scientific publications. The investigation methodological scheme presented in a schematic form, is described. As a result, a list of 8 specialized and 9 main methods of cyberattacks, as well as 4 specialized and 10 main methods of protection was obtained, which made it possible to create a protection generalized model against cyberattacks on VoIP. The model representation in tabular form consists of 17 rows and 14 columns, which corresponds to the number of all cyberattack methods and protection methods. The cells of the table contain expertly obtained values of the effectiveness of counteracting cyberattacks by each of the protection methods according to a 3-point system. The model is extended with additional integral indicators of the danger of cyberattacks and the effectiveness of protection obtained analytically. 3 cyberattacks least amenable to protection and 3 most effective protection methods were identified. The scientific novelty consists in bringing together the whole set of cyberattacks methods on VoIP and protection against them methods into a single system that characterizes the effectiveness of countering.
THEMATIC MODELING AND SUMMARIZATION OF TEXTS IN THE FIELD OF CYBER SECURITY (BASED ON JOURNAL PUBLICATIONS)
Authors:   Ufa University of Science and Technology, Vasilyev Vladimir , Vulfin Alexey ,   Ufa University of Science and Technology, Kuchkarova Nailya ,   Ufa University of Science and Technology
Published: April 2023

Purpose: improving the quality of text document analysis through the use of machine learning and intellectual analysis models in summarizing and topic modeling tasks, which will reduce the load on an expert who analyzes and generalizes significant volumes of semi-structured text data on information security topics from various sources. Methods: machine learning methods were used for the operational processing and analysis of large volumes of heterogeneous ill-structured information in natural language (NL). Methods of thematic modeling and summarization of texts based on deep neural networks, including neural network language models based on the architecture of transformers, are applied. Practical relevance: the main stages of the machine procedure of thematic modeling and summarization of professional texts in the field of information security are highlighted. The results of a comparative evaluation of the effectiveness of using clustering models, latent semantic analysis, Fast Text, Text Rank language models and BERT transformers for these purposes are presented. Recommendations are given regarding the prospects for the practical application of these models as a means of intellectual support for the professional activities of cybersecurity specialists. Scientific novelty: a complex of machine learning models for thematic modeling and summarization of professional texts is proposed, based on neural network models of attachments and transformer models, characterized by an algorithm for preparing a corpus of texts for training models and the use of a learning transfer algorithm, which will increase the efficiency of analysis and generalization of domain-specific corpora of texts.
CONSTRUCTION OF COMPOSITE CRITERIA FOR OPTIMIZATION OF TERMS AND GENERALIZED INDICATOR OF KNOWLEDGE BASES OF INTELLIGENT SYSTEMS
Authors:   Bauman Moscow State Technical University, Sidnyaev Nikolay , Sineva Elizaveta ,   Bauman Moscow State Technical University
Published: April 2023

The purpose of the research is to develop the concept of systematization of the knowledge base and solving problems of information cybersecurity of systems and when making search decisions based on the construction of a structured semantic content model of terms of a scientific and theoretical nature describing complex active systems. Research methods: statistical analysis, hypothesis testing methods, machine learning methods, reliability models, evaluation type models used in testing reliability indicators, parameters of behavioral systems. The result obtained: The result obtained: experimental results of the application of reliability evaluation models and consent criteria to different sizes of knowledge bases are discussed and the evaluation of the results of measuring the reliability index on these components, taking into account the failure rate, is given. The description of generalized algorithms for the functioning of evaluation and forecasting components, as well as their applicability to solving problems in the field of information security, is given. A general model of a spatial network is proposed, within the framework of which the subject carries out risk management by effectively, in one sense or another, distributing the homogeneous resource at his disposal between its nodes. For the implementation of decision-making, more optimistic criteria than the minimax criterion are recommended. Scientific novelty: consists in the development of mathematical models to maintain the logical and physical integrity of the knowledge bases of cybersystems using the desirability function and consent criteria. The basic requirements for ensuring reliable behavior and operability of an information system using oriented databases are highlighted and described. It is postulated that the best information system reliability is achieved through the use of automated monitoring systems using knowledge bases for continuous monitoring and periodic analysis of cybersystem objects with tracking the dynamics of changes in the event space.
ON PRIMARY TECHNICAL DEVICES AND REQUIREMENTS FOR QUANTUM SYSTEM SECURITY KEYS
Authors:   Siberian State University of Science and Technology named after Academician M.F. Reshetnev, Averyanov Vitaly , Kartsan Igor ,   Siberian State University of Science and Technology named after Academician M.F. Reshetnev
Published: April 2023

Purpose of the article: development of new methods, algorithms and models to detect unauthorized actions of an intruder/s in relation to broadcast data represented in the form of one-photon pure states of light particles, which will allow: to strengthen the secrecy of basic security keys, improve procedures for data exchange and processing by legitimate users of the telecommunications system, expand the functionality of existing technological solutions in their classic representation. Research method: system analysis, information security assessment method. The result: risks of critical system errors for procedures of basic states measurement results matching and supposed potential possibilities of attacker to realize vulnerabilities through active phase of attacks with explicit critical outcome are presented. It is established that translation of mixed single-photon states and imposition on receiving hardware is explicitly uncontrolled, unaccountable and not contained in any algorithm of quantum protocols, which, according to the authors, is the most critical vulnerability of modern cryptographic systems based on quantum mechanics. A way to solve problems of “silent” scanning and to counteract hidden active attacks on quantum channel and particle states is proposed. The essence of the solution consists in non-orthogonality of states of a random basis vector and duplication of a main communication channel containing an information path on pulse signals broadcasting, where a known number of synchro-sentences in a backup line allows to trace an attacker. Fundamental is the knowledge of the primary-natural errors occurring at each of the stages of the formation of the main security key.
DEVELOPMENT OF A METHODOLOGY FOR MONITORING THE LEVEL OF INFORMATION SECURITY OF CRITICAL INFORMATION INFRASTRUCTURE OBJECTS
Authors:   ITMO University, Baksheev Andrew , Livshitz Ilya ,   ITMO University
Published: April 2023

Abstract Purpose of work is to increase the level of security of subjects of critical information infrastructure through the use of a “dual” regime to implement a full cycle of ensuring the security of critical information infrastructure facilities - a full national regime and a combined regime. Research method: to achieve the purpose of the work, methods of analysis, comparison, generalization, structural decomposition from the theory of system analysis, determination of criteria for monitoring the level of information security of CII objects were used. Research result: the paper presents a detailed analysis and comparison of existing concepts for controlling the level of information security used to obtain a certain level of security. A method for monitoring the level of information security of CII objects is proposed. The scientific novelty lies in the development of a methodology for monitoring the level of information security of CII objects, using an information security audit model for CII objects, which in turn uses the possibility of a “dual mode” for a full cycle of ensuring the security of CII objects – full national and combined modes, allowing, if necessary, to include additional functional blocks
Russia’s Aggression against Ukraine: a Clash of Two Visions of the International Community and International Law
Authors: Mik Cezary
Published: April 2023

Russia's aggression against Ukraine represents the culmination of a clash between two visions of the international community and international law. The first is the vision of the West, formulated especially under the influence of the United States. This vision is reflected in the current situation of the community, which is based on American hegemony, and in the state of international law, which has emerged especially after the end of the Cold War. The second vision is that of Russia and China, which has been systematically constructed since the end of the 20th century, supported at least in some aspects by other states belonging to or aspiring to the BRICS or the Shanghai Cooperation Organisation. The article undertakes an analysis from the perspective of the response of the West and, more broadly, the international community, to Russian aggression. It examines demands for change in the sphere of power within the community and relations between its members, as well as changes in the creation, interpretation and operation of international law. The consequences of the clash of these visions, which is of a systemic, civilisational nature with regard to both the community and international law, are also assessed.
Recent Research on Lipase Immobilization with Multipoint Covalent Treatment by
Glutaraldehyde
Authors: Fan Xiulin , Zhang Pingbo , Teng Shiqi , Fan Mingming , Jiang Pingping , Haryono Agus , Leng Yan
Published: April 2023

Immobilized lipase has played an essential role in the chemical and biological sciences
as a viable alternative to standard chemical catalysts. Glutaraldehyde is a low-cost
crosslinking agent at risk of being superseded by developing crosslinking compounds with
biocompatible, biodegradable, and non-toxic characteristics. The multipoint covalent treatment
method using glutaraldehyde has both advantages and disadvantages. Immobilization
techniques can be improved to improve the overall performance of immobilized lipase. The
most recent update on lipase immobilization with multipoint covalent treatment by glutaraldehyde
was summarized in this review. Covalent binding lipase on pre-activated support and
aggregation-crosslinking lipase into crosslinked enzyme aggregates (CLEAs) or adsorptioncrosslinking
lipase on support are the most common immobilization techniques. Based on the
above technologies, the advancement trends in important domains, such as the advancement of supports, additives,
reactors, and cross-linking agents, are summarized. In addition, the application of the improved immobilized lipase
by glutaraldehyde in the production of fatty acids, glycerides, biodiesel, and drug precursors was reviewed. In view
of this, we put forward further studies on multipoint covalent treatment in lipase immobilization with glutaraldehyde.
Various analytical methods are required to provide additional information about the structure of glutaraldehyde
and its crosslinked products for assisting the proper immobilization conditions. Applying the composite strategy
can also bring new opportunities for improving the efficiency of biological catalysts.
Different Smoothing Window Lengths can Estimate the Neuromuscular Fatigue Threshold at The same Intensity of the Lactate Threshold During the Leg Press Exercise
Authors: Marson Runer Augusto , de Sousa Nuno Manuel Frade , Scoz Robson Dias , Mendes Jose Joao Baltazar , Ferreira Luciano Maia Alves , de Melo Marco Aurélio Anunciação , Baldissera Vilmar , Freitas Lucas Filgueiras , Amorim César Ferreira
Published: April 2023

Background:

This study aimed to compare different smoothing window lengths used to compute the RMS and their impact on RMS slope during leg press exercise and to compare the RMS slope behavior with lactate threshold.

Methods:

Twelve subjects performed an incremental test on a leg press machine where blood lactate concentration was measured at each stage. The RMS of vastus medialis (VM), vastus lateralis (VL) and rectus femuralis (RF) were computed for 200, 1500 and 3000ms windows length periods, and the RMS linear slope was used to interpret the results in the amplitude domain. The EMG fatigue threshold (EMGth) was determined for the quadriceps muscle during the three smoothing window lengths.

Results:

There was no significant difference (p> 0.05) in RMS slope between the three different RMS window length analyses for VM and VL muscles. The RMS slope was significantly higher (p ≤ 0.05) for the window length period of 1500 and 3000ms compared to 200ms in some intensities of exercise. The ICCs between the RMS slopes were 0.94 for RF and 0.95 for VL and VM. There was no significant difference (p> 0.05) between the EMGth at different window length periods and the lactate threshold (28.0 ± 3.7% of 1RM).

Conclusion:

Different smoothing window lengths to computed RMS could be used during resistance exercise without differences in RMS slope. The smoothing window lengths don´t influence EMGth intensity and are related to the lactate threshold.
Synthesis and characterization of ZnO, ZnO Doped Ag2O Nanoparticles and its Photocatalytic Activity
Authors: Sreenivas B , Chandana N. , Sai Chandra J. , Ch. Anil Kumar T. , Bhattacharya Sumanta , Kalyan Chakravarthi M.
Published: April 2023

Aim:

Zinc oxide (ZnO) nanomaterials play an important role in many industries because of their amazing optical, electrical, mechanical, thermal, and structural capabilities.

Introduction:

The current study focuses on the production of ZnO nanoparticles for photocatalytic dye degradation activities, and three types of ZnO nanoparticles are prepared: pure ZnO nanocrystals extracted through chemical and biological route and Ag2O doped ZnO nanoparticles.

Methods:

The average particle size of chemically produced ZnO nanocrystals was predicted to be 34 nm, and SEM examination validated the creation of ZnO nanorods-like structure from chemical technique, which exhibits enhanced photocatalytic activity. X-ray diffraction study of Ag2O/ZnO nanoparticles revealed a hexagonal shape.

Results:

The average particle size was determined to be between 16 and 17 nm. The findings of the SEM examination also revealed that the produced Ag2O doped ZnO nanoparticles agglomerated in hexagonal forms and adhered as bulks and rods that increased with the amount of Ag nanofluids. As a result, it is determined that agglomerated Ag2O/ZnO nanoparticles with hexagonal and rod structures operate as an efficient photocatalytic agent.

Conclusion:

It is obvious that 25 ml of Ag2O nanofluid doped with ZnO produces an excellent photocatalyst for organic dye degradation and is appropriate for large-scale applications.
Literasi Digital Mahasiswa Jurusan Pendidikan IPS FKIP Universitas Sriwijaya
Authors: Dhita Aulia Novemy , Nurdiansyah Edwin
Published: April 2023

Literasi digital merupakan kemampuan yang diperlukan di era internet saat ini. Terutama penggunaannya yang semakin meningkat di masa Pandemi Covid-19. Untuk mengetahui tingkat literasi mahasiswa Jurusan P. IPS, FKIP-UNSRI perlu dilakukan penelitian. Penelitian ini menggunakan metode survei dengan pendekatan deskriptif. Adapun populasi penelitian ini yaitu mahasiswa di Jurusan P. IPS, FKIP-UNSRI yang terdiri dari tiga program studi (Prodi) yaitu Pendidikan Sejarah, Pendidikan Pancasila dan Kewarganegaraan dan Pendidikan Ekonomi yang berjumlah 857 mahasiswa dari angkatan 2014-2020. Pengambilan sampel dilakukan dengan random sampling, dengan hasil sebanyak 555 mahasiswa yang mengisi angket. Hasil penelitian menunjukkan bahwa literasi digital mahasiswa yang diukur menggunakan aspek literasi digital Bawden yaitu kemampuan dasar literasi mahasiswa sebesar 92,5% (sangat baik); latar belakang pengetahuan sebesar 82,5% (baik); kompetensi utama literasi digital sebesar 71,63% (baik) dan sikap dan perspektif informasi sebesar 95,87% (sangat baik). Hasil ini menunjukkan jika literasi digital pada empat aspek yang diukur sudah baik.Kata Kunci: literasi, digital, internet, informasi, mahasiswa Digital literacy is a skill that is needed in today's internet era. Especially its use which is increasing during the Covid-19 Pandemic. To find out the literacy level of students of the P. IPS Department, FKIP-UNSRI needs to be conducted research. This study used a survey method with a descriptive approach. The population of this study were students in the P. IPS Department, FKIP-UNSRI which consisted of three study programs (Prodi) namely History Education, Pancasila Education and Citizenship and Economic Education, totaling 857 students from the 2014-2020 class. Sampling was done by random sampling, with the result that 555 students filled out a questionnaire. The results showed that the digital literacy of students measured using aspects of Bawden's digital literacy, namely the basic literacy skills of students of 92.5% (very good); background knowledge of 82.5% (good); the main competence of digital literacy is 71.63% (good) and attitudes and information perspectives of 95.87% (very good). These results indicate that digital literacy in the four measured aspects is good.Keywords: literacy, digital, internet, information, students
Analisis Modal Sosial Antar Generasi di Indonesia
Authors: Mustofa Mustofa
Published: April 2023

Artikel ini bertujuan untuk mengetahui modal sosial dalam bentuk rasa saling percaya, kerjasama, dan jejaring antar generasi di Indonesia. Data yang digunakan adalah data cross section IFLS5. Teknik analisis yang digunakan adalah teknik analisis deskriptif dengan crosstab. Hasil penelitian menunjukkan bahwa boom generation adalah generasi yang paling mempercayai sukunya sendiri. Silent generation adalah generasi yang memiliki tingkat kewaspadaan terhadap orang lain paling tinggi. Generasi X adalah generasi yang memiliki tingkat kewaspadaan terhadap orang lain yang paling rendah dan tingkat kesediaan menitipkan rumah kepada tetangga yang paling tinggi. Silent generation memiliki tingkat kesediaan membantu paling tinggi. Generasi Y adalah generasi dengan tingkat partisipasi arisan paling tinggi. Silent generation memiliki tingkat partisipasi kerja bakti paling tinggi. Kegiatan masyarakat yang diikuti generasi Y, generasi X, boom generation, dan silent generation adalah kegiatan keagamaan dan parpol. Generasi yang paling banyak tidak mengikuti kegiatan masyarakat adalah boom generation.
Tradisi Wiwit Mbako di Temanggung Jawa Tengah sebagai Sumber Belajar Sejarah
Authors: Arrazaq Naufal Raffi , Mohamad Sutrisno , Hotimah Iis Husnul
Published: April 2023

Penelitian mengenai Wiwit Mbako di Kabupaten Temanggung, Provinsi Jawa Tengah untuk sumber belajar sejarah belum dikaji secara mendalam. Tujuan penelitian ini ialah menganalisis pelaksanaan Wiwit Mbako dan potensinya sebagai sumber belajar mata pelajaran sejarah. Metode penelitian yang digunakan ialah kualitatif. Teknik pengumpulan data dilakukan dengan studi pustaka. Analisis data dilakukan dengan menguraikan data mengenai Wiwit Mbako. Hasil uraian tersebut kemudian dikaitkan dengan Kompetensi Dasar (KD) mata pelajaran sejarah. Hasil penelitian menunjukkan bahwa Masyarakat Kabupaten Temanggung, Provinsi Jawa Tengah memiliki tradisi Wiwit Mbako. Tradisi tersebut memiliki latar belakang sejarah terkait dengan kedatangan bangsa Barat di Nusantara. Tradisi Wiwit Mbako dapat digunakan sebagai sumber belajar sejarah. Wiwit Mbako berkaitan dengan KD 3.1., mata pelajaran sejarah kelas XI jenjang SMA/MA/SMK/MAK. Wiwit Mbako berkaitan materi dampak masuknya Bangsa Eropa bagi Bangsa Indonesia.
A magas intenzitású mikromozgások és az ütéspontosság közötti kapcsolat vizsgálata a ’PlayerLoad’ és ’IMA’ mechanikai mutatók segítségével korosztályos teniszezőknél
Authors: Tóth Péter János , Sáfár Sándor , Dobos Károly , Horváth Dávid , Győri Tamás , Ökrös Csaba
Published: April 2023

Kutatásunk célja az volt, hogy megvizsgáljuk milyen kapcsolat áll fenn a magas intenzitású mikromozgások és az ütések pontossága között korosztályos teniszezőknél a ’PlayerLoad’ és az ’IMA’ mechanikai mutatók segítségével. A vizsgálatban 14 rendszeresen versenyző magyar, utánpótláskorú fiú teniszező vett részt (14,13 ± 2,03 év). A mérkőzések alatt leggyakrabban előforduló ütéseket (támadó, védekező és semleges), valamint az eközben végrehajtott magas intenzitású mikromozgások terjedelmi változóit két specifikus pályateszttel (’1-6’ teszt és ’Big X’ teszt) mértük fel. Az ’1-6’ teszt esetében a tenyeres támadó ütésnél, a ’Total PlayerLoad’ paraméternél jött létre szignifikáns kapcsolat (χ2 = 4,31; p = 0,04), míg a ’Big X’ tesztnél a fonák védekező ütés alatt, a ’Total IMA Events’ mutatott szignifikáns összefüggést a pontossággal (χ2 = 6,51; p = 0,04). Következtetésünk szerint ebben a korcsoportban az egyes ütések hatékonysága mögött elsősorban a megfelelő, stabil ütőállás és a mozdulatoknak a pontos technikája áll, és kevésbé súlyozható a magas intenzitású, kis terjedelmű mozgások teljesítménye.
Pedagógusok fogyatékossággal élő személyek iránti érzékenyítésének attitűdvizsgálata a Közép-Európai régióban
Authors: Orbán-Sebestyén Katalin , Sáringerné Szilárd Zsuzsanna , Farkas Judit , Ökrös Csaba
Published: April 2023

A többségi társadalom fogyatékossággal élő személyek iránti attitűdje nagymértékben befolyásolja az érintettek életvitelét és lehetőségeit. A különbözőségek, így a fogyatékosság elfogadásának egyik leghatékonyabb eszköze a megfelelő irányú és mértékű attitűdváltozás létrehozása, amelynek egyik leghatékonyabb módja az érzékenyítés, amellyel lehetőség nyílik tudatosan hatni és a tapasztalatok bővülésével létrehozni egy pozitív szemléletváltást a fogyatékossággal élő emberek környezetében élők körében. Ebben a folyamatban a család, a barátok, az iskolatársak – és nem utolsó sorban – a pedagógusok szerepe meghatározó (Meggyesné és Máténé, 2013; Dóczi, Gál és Sáringerné, 2014). Tanulmányunkban bemutatjuk, hogy egy fogyatékossággal élő emberek iránti érzékenyítő program milyen attitűdváltozásokat okozhat általános iskolában dolgozó magyarországi és magyar anyanyelvű erdélyi és felvidéki pedagógusoknál (N=26). Az érzékenyítő program része volt a fizikai aktivitás érzékenyítő szerepének és feladatának bemutatása is, hiszen kiváló eszköz lehet a társadalmi befogadás ösztönzésére, de a tapasztalatok azt mutatják, hogy még mindig nem elegendő a szükséges szakmai ismeret a pedagógusok körében sem (Dóczi, Gál és Sáringerné, 2014). Kvantitatív (kérdőíves) módszerrel végzett kutatás során vizsgáltuk a pedagógusok attitűdváltozásának három komponensét, amelynek eredményei megmutatták, hogy egyetlen program is milyen mértékű pozitív változást okozhat, ha az érintettek szocio-demográfiai jellemzőit is figyelembe véve vizsgáljuk az eredményeket. A csak női megkérdezettekből álló minta különbözősége legfőképpen a szakmai végzettségükben mutatkozik, mégis mindannyiukról elmondható, hogy pedagógusként nyitottak voltak a fogyatékossággal élő emberek iránti érzékenyítésre és mindhárom vizsgált attitűdjük – szignifikáns eredményt mutatva – pozitívan változott a vizsgálat végére.
Cervical Myelopathy and Social Media: Mixed Methods Analysis
Authors: Elkaim Lior M , Levett Jordan J , Niazi Farbod , Alvi Mohammed A , Shlobin Nathan A , Linzey Joseph R , Robertson Faith , Bokhari Rakan , Alotaibi Naif M , Lasry Oliver
Published: April 2023

Background

Degenerative cervical myelopathy (DCM) is a progressive neurologic condition caused by age-related degeneration of the cervical spine. Social media has become a crucial part of many patients’ lives; however, little is known about social media use pertaining to DCM.

Objective

This manuscript describes the landscape of social media use and DCM in patients, caretakers, clinicians, and researchers.

Methods

A comprehensive search of the entire Twitter application programing interface database from inception to March 2022 was performed to identify all tweets about cervical myelopathy. Data on Twitter users included geographic location, number of followers, and number of tweets. The number of tweet likes, retweets, quotes, and total engagement were collected. Tweets were also categorized based on their underlying themes. Mentions pertaining to past or upcoming surgical procedures were recorded. A natural language processing algorithm was used to assign a polarity score, subjectivity score, and analysis label to each tweet for sentiment analysis.

Results

Overall, 1859 unique tweets from 1769 accounts met the inclusion criteria. The highest frequency of tweets was seen in 2018 and 2019, and tweets decreased significantly in 2020 and 2021. Most (888/1769, 50.2%) of the tweets’ authors were from the United States, United Kingdom, or Canada. Account categorization showed that 668 of 1769 (37.8%) users discussing DCM on Twitter were medical doctors or researchers, 415 of 1769 (23.5%) were patients or caregivers, and 201 of 1769 (11.4%) were news media outlets. The 1859 tweets most often discussed research (n=761, 40.9%), followed by spreading awareness or informing the public on DCM (n=559, 30.1%). Tweets describing personal patient perspectives on living with DCM were seen in 296 (15.9%) posts, with 65 (24%) of these discussing upcoming or past surgical experiences. Few tweets were related to advertising (n=31, 1.7%) or fundraising (n=7, 0.4%). A total of 930 (50%) tweets included a link, 260 (14%) included media (ie, photos or videos), and 595 (32%) included a hashtag. Overall, 847 of the 1859 tweets (45.6%) were classified as neutral, 717 (38.6%) as positive, and 295 (15.9%) as negative.

Conclusions

When categorized thematically, most tweets were related to research, followed by spreading awareness or informing the public on DCM. Almost 25% (65/296) of tweets describing patients’ personal experiences with DCM discussed past or upcoming surgical interventions. Few posts pertained to advertising or fundraising. These data can help identify areas for improvement of public awareness online, particularly regarding education, support, and fundraising.
The usefulness of an Augmented Reality-based Interactive 3D Furniture Catalog as a Tool to Aid Furniture Store Sales Operations
Authors: Ismail Ismail , Syaputra Evan , Leonanda Benny Dwika , Iksan Nur , Abdulbaqie Azmi Shawkat , Husin Mohd Razimi , Ahmad Hishamuddin , Panessai Ismail Yusuf
Published: April 2023

The global crisis, that has resulted from the outbreak of Covid-19, influences all aspects of daily life. Due to the people's poor purchasing power, several major stores, such as Furniture Store-XYZ, were forced to close several branches. To counter this, it will be required to adopt unique initiatives that will assist attract visitors and enhance sales while still adhering to the established health protocols. AR-Furniture is the ideal technology to solve this problem. AR-Furniture is an Augmented Reality-based technology that enables a 3D furniture catalog to present a complete picture of a piece of furniture in a virtual form that appears natural and identical to the original. The MDLC development process used in the AR-Furniture Mobile App. According to the study's findings, 100% of respondents agree that AR-Furniture helps to sell and to buy process be done effectively and productively and gives the users innovative ideas. 70% of respondents strongly agree that AR-Furniture makes it easier for users to reach their goals and that AR-Furniture allows users to do whatever they want. 100% of respondents strongly believe that AR-Furniture is helpful and that shoppers can save time while picking the right furniture. Furthermore, AR-Furniture makes it simple for consumers to select preferred furniture without engaging with shopkeeper workers.
Ontology-based Complementary Breastfeeding Search Model
Authors: Paradhita Astrid Noviana , Sari Anny Kartika , Sihabuddin Agus
Published: April 2023

Children's nutritional requirements differ from those of adults. The health ministry's Indonesian data shows that in 2017, there were 17.8% of malnourished children under five years old (toddlers), one of which was related to complementary breastfeeding problems. Complementary breastfeeding is given to babies starting at 6–24 months of age. This research aims to build a complementary breastfeeding search model and be able to present it as a treatment for malnourished babies. A search model is built to understand natural language input given by a user. Also, it can do reasoning by applying a set of rules to obtain implicit knowledge about the complementary breastfeeding menu recommended for babies. The methods used in this research are data collection, designing a search model, building an ontology model, building SWRL, natural language processing, and usability testing by users and nutritionists. This research succeeded in building an ontology-based complementary breastfeeding search model in the form of a semantic web. The testing result shows that the web can provide an alternative complementary breastfeeding menu according to the baby’s nutritional needs and has a high usability capability of 4.01 on a scale of 1 to 5.
Neural Network Pruning in Unsupervised Aspect Detection based on Aspect Embedding
Authors: Maulana Muhammad Haris , Khodra Masayu Leylia
Published: April 2023

Aspect detection systems for online reviews, especially based on unsupervised models, are considered better strategically to process online reviews, generally a very large collection of unstructured data.  Aspect embedding-based deep learning models are designed for this problem however they still rely on redundant word embedding and they are sensitive to initialization which may have a significant impact on model performance. In this research, a pruning approach is used to reduce the redundancy of deep learning model connections and is expected to produce a model with similar or better performance. This research includes several experiments and comparisons of the results of pruning the model network weights based on the general neural network pruning strategy and the lottery ticket hypothesis. The result of this research is that pruning of the unsupervised aspect detection model, in general, can produce smaller submodels with similar performance even with a significant amount of weights pruned. Our sparse model with 80% of its total weight pruned has a similar performance to the original model. Our current pruning implementation, however, has not been able to produce sparse models with better performance.
Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection of Tuberculosis Extra Pulmonary Bacilli in the HSV Color Space
Authors: Riza Bob Subhan , Na’am Jufriadif , Sumijan Sumijan
Published: April 2023

Tuberculosis Extra Pulmonary (TBEP) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and can cause death. Patients suffering from this disease must be treated quickly without waiting long. Currently, anyone who will be detected caused by this bacterium takes a long time and costs a lot. The biopsy is one of the techniques used to take the patient's lung fluid and give Ziehl Neelsen chemical dye and then observe using a microscope to determine this TBEP disease. This research aims to help detect bacteria quickly and precisely by performing computer-aided image processing by creating an application system. The technique used is to develop the segmentation method. The segmentation process is to develop a Hue Saturation Value (HSV) color space transformation technique with the K-Means and Otsu Thresholding techniques. From the results of the two methods used, it turns out that the Otsu Thresholding method can detect TBEP results with more accuracy than the K-Means method. So the method developed is beneficial in accelerating and minimizing costs for detecting TBEP.
GDSS Development of Bali Tourism Destinations With AHP and Borda Algorithms Based on Tri Hita Karana
Authors: Sugiartawan Putu , Sudipa I Gede Iwan , Wiguna I Komang Arya Ganda
Published: April 2023

Development of Bali tourist destinations using the concept of local wisdom Tri Hita Karana (THK). THK is a concept that contains the philosophy of community life in Bali which means three causes of welfare. This concept is needed to realize tourism, culture and nature. In determining a decision to develop an object in a tourist destination using the THK concept, knowledge from several stakeholders is needed. To combine decisions from several stakeholders is needed. GDSS is a computer-based system that can support the Bali Provincial Government Tourism Office and several components involved in THK to take a decision in developing an object in a tourist destination. To determine the decision of each individual used the AHP model. The AHP model is a model that can solve complex multi-criteria problems into a hierarchy. This AHP model will produce alternative individual decisions from the results of parameter weight processing for each individual. Based on the final result of the GDSS, the development of Bali tourism destinations based on THK is in the form of ranking of the six parameters used (Promotion of tourist destinations, Improvement of facilities, Human Resources, Synergy, Environmental preservation, Setting of holy places). The alternative that has the highest value is used as a reference in developing a THK-based tourist destination,