bluuebunny/crossref_metadata_2025 huggingface dataset:
Phylogenetic and expression analysis of the angiopoietin-like gene family and their role in lipid metabolism in pigs
Authors: Zheng Zibin , Lyu Wentao , Hong Qihua , Yang Hua , Li Ying , Zhao Shengjun , Ren Ying , Xiao Yingping
Published: May 2023

Objective: The objective of this study was to investigate the phylogenetic and expression analysis of the angiopoietin-like (ANGPTL) gene family and their role in lipid metabolism in pigs.Methods: In this study, the amino acid sequence analysis, phylogenetic analysis, and chromosome adjacent gene analysis were performed to identify the ANGPTL gene family in pigs. According to the body weight data from 60 Jinhua pigs, different tissues of 6 pigs with average body weight were used to determine the expression profile of ANGPTL1-8. The ileum, subcutaneous fat, and liver of 8 pigs with distinct fatness were selected to analyze the gene expression of ANGPTL3, ANGPTL4, and ANGPTL8.Results: The sequence length of ANGPTLs in pigs was between 1,186 and 1,991 bp, and the pig ANGPTL family members shared common features with human homologous genes, including the high similarity of the amino acid sequence and chromosome flanking genes. Amino acid sequence analysis showed that ANGPTL1-7 had a highly conserved domain except for ANGPTL8. Phylogenetic analysis showed that each ANGPTL homologous gene shared a common origin. Quantitative reverse-transcription polymerase chain reaction analysis showed that ANGPTL family members had different expression patterns in different tissues. ANGPTL3 and ANGPTL8 were mainly expressed in the liver, while ANGPTL4 was expressed in many other tissues, such as the intestine and subcutaneous fat. The expression levels of ANGPTL3 in the liver and ANGPTL4 in the liver, intestine and subcutaneous fat of Jinhua pigs with low propensity for adipogenesis were significantly higher than those of high propensity for adipogenesis.Conclusion: These results increase our knowledge about the biological role of the ANGPTL family in this important economic species, it will also help to better understand the role of ANGPTL3, ANGPTL4, and ANGPTL8 in lipid metabolism of pigs, and provide innovative ideas for developing strategies to improve meat quality of pigs.
Effects of vitamin K supplementation on reproductive performance and bone metabolism-related biochemical markers in lactation sows
Authors: Wang Huakai , Zhang Yu , Ma Yongxi
Published: May 2023

Objective: This study was conducted to evaluate the effects of vitamin K (VK) supplementation on reproductive performance and bone metabolism-related biochemical markers in sows.Methods: Twenty-four Large White×Landrace sows (mean parity 4.04) were randomly assigned to two dietary treatments (NC diet, a basal diet with 0.5 mg/kg of VK3; VK diet, a basal diet with 5 mg/kg of VK3) with twelve replicates per treatment and one sow per replicate according to parity. The experiment started on day 107 of gestation and lasted until day 21 of lactation (weaning).Results: We observed that there were no differences (p>0.05) in average daily feed intake, backfat loss of sows, live piglet number at birth and weaning, average birth weight, average weaning weight, and average daily gain of piglets between two treatments. The apparent total tract digestibility of phosphorus was increased (p<0.05) in VK sows compared with NC sows. The serum bone alkaline phosphatase, osteocalcin, type I procollagen aminoterminal peptide, and type I procollagen carboxyl-terminal peptide on day of farrowing were higher (p<0.05) in VK sows than in NC sows. The serum phosphorus, parathyroid hormone, tartrate-resistant acid phosphatase, and tumor necrosis factor-alpha on day of weaning were lower (p<0.05) in VK sows compared with NC sows.Conclusion: Therefore, the overall results suggested that increasing dietary VK3 (0.5 to 5 mg/kg) during lactation improved the apparent total tract digestibility of phosphorus and serum bone metabolism biochemical markers in sows.
Analisis Penerapan Strategi Digital Marketing dalam Meningkatkan Omset Penjualan Produk Rabbani Perspektif Ekonomi Islami
Authors: Setiana Farida Arum , Kurniawan Naufal
Published: May 2023

E-commerce is known as the growth of the online-based commercial world (internet), which has developed very rapidly in the last twenty years. Indonesia has enormous potential to enter this new economy. In Islamic economics, buying and selling activities or (ijarah) are said to be valid if they meet the conditions specified in the shari'a. In Banjarnegara itself, Rabbani products have spread widely among the public, not a few consumers who choose Rabbani products as the mainstay of Muslim clothing. But does the strategy implemented in marketing Rabbani products using digital marketing meet the requirements in Islamic law. The purpose of this study was to determine the application of the digital economy and its effect on increasing sales turnover of Rabbani products at the Rabbani Banjarnegara Shop. This research uses quantitative methods. The data were obtained from interviews with the shop director Rabbani Banjarnegara. The results of the study explain that the application of the digital economy in accordance with the provisions of Islamic economics at the Rabbani Banjarnegara shop greatly influences the increase in productivity, accelerates the flow of production, consumption and distribution.
Pengaruh Islamic Branding, Viral Marketing, Harga dan Lokasi terhadap Keputusan Pembelian
Authors: Herawati Erna , Guritno Agung
Published: May 2023

This study aims to determine the effect Islamic Branding, Viral Marketing, Price and Location of Purchasing Decisions. The observation model used in this research is quantitative research by processing primary data obtained through distributing questionnaires to consumers of Geprek Assalam 99. The samples taken in this research are all buyers of Ayam Geprek Assalam 99 who have purchased the product at least once. The sample in this research is 100 respondents using the technique purposive sampling, then the results obtained were processed using SPSS version 26. The analysis used included descriptive statistical tests, instrument tests, classical assumption tests, multiple linear regression tests, model accuracy tests and hypothesis testing. The results obtained in this study are Islamic branding has a positive but not significant effect on purchasing decision, viral marketing gives a positive and significant influence on purchasing decisions, prices are positive and significant on purchasing decisions and location positive but not significant impact on purchasing decisions.
JENGA DOS ALCANOS: UMA ADAPTAÇÃO PEDAGÓGICA E LÚDICA PARA ENSINAR QUÍMICA PARA ALUNOS SURDOS
Authors: Lugo Eliana Noelia Valdez , Fellini Dinéia Ghizzo Neto , Franzi Juliana , Bogoni Rosângela
Published: May 2023

There are several contents of complex nature in chemistry teaching. Teaching such contents to deaf students requires re-signification, in addition to the Cultural-Historical Theory, the appropriation of these concepts demands the development of voluntary attention, perception, memory and thought. So, is possible to consider that the adapted games are mediating tools for the appropriation and generalization of Chemistry concepts by deaf students? The development and application of the Jenga Game resulted from studies developed in the subjects "Instrumentation for Teaching Chemistry II" and "Brazilian Sign Language (LIBRAS) II" at the Federal University of Latin American Integration (UNILA). The research of qualitative approach, is participatory with intervention and occurred in a Bilingual Education school for the deaf, located in western Paraná, in a high school class, with a sample of 12 deaf students over 18 years. The qualitative analysis revealed that: i) the stimuli that induced the voluntary attention of students occured only after the second round of the game ; ii) the proposed game led them to perception, because building structures, recognizing the correct pieces to be removed, was determinant; iii) the game promoted memorization, demanding from students, the structures building with the correct number of bonds for each compound; iv) the presence of the Translator and Interpreter of Sign Language (TILS) and the mastery of sign language, were essential for the access and appropriation of scientific concepts. As for the generalization of the concepts, this study would demand more time and conditions to fully explore the proposed content.
Mediennutzung – eine Frage der sozialen Klasse? Aktivierung einer soziologischen Kategorie für die Kommunikationswissenschaft am Beispiel des Klassenmodells von Andreas Reckwitz
Authors: Polkowski Julia , Jandura Olaf
Published: May 2023

In den Sozialwissenschaften wird seit geraumer Zeit wieder von einer Klassengesellschaft gesprochen. Lange dominierten in den Sozialstrukturanalysen die Thesen von Individualisierung, Differenzierung und Entproletarisierung als Ergebnis der Modernisierung der Gesellschaften. Vor allem infolge der zunehmenden sozialen Ungleichheit in den westlichen Industriegesellschaften erleben Klassenkonzepte derzeit eine Renaissance. Ein besonders in der deutschen Soziologie kontrovers diskutierter Vorschlag stammt von Andreas Reckwitz. Der Soziologe hat vor dem Hintergrund der ökonomischen, politischen und sozialen Transformationen der letzten Jahrzehnte ein neues Klassenschema entwickelt. Wir nutzen sein Drei-Klassen-Modell, um am Beispiel der Kettenhypothese der Fragmentierungsforschung zu demonstrieren, dass sozialstrukturelle und klassentheoretische Ansätze auch für die Kommunikationswissenschaft fruchtbar sind und wiederentdeckt werden sollten. Die Befunde unserer Analyse zeigen, dass hinsichtlich der Informationsquellen, Themenhorizonte und Netzwerke interpersonaler Kommunikation deutliche Unterschiede zwischen den Klassen bestehen. Zwar sind diese nicht derartig gravierend, dass von einer Fragmentierung entlang von Klassenlinien gesprochen werden kann, jedoch bergen die Differenzen durchaus das Potenzial, gesellschaftliche Spaltungstendenzen zu intensivieren.
Vielfalt in den Nachrichten. Ein Vergleich digitaler und analoger Angebote von öffentlich-rechtlichen Medien und Tageszeitungen in Deutschland, Österreich und der Schweiz
Authors: Udris Linards , Stark Birgit , Magin Melanie , Jandura Olaf , Riedl Andreas , Klein Miriam , Furrer Brigitte Hofstetter , Guix Ricard Parrilla
Published: May 2023

Vielfalt als zentrale Schlüsselnorm der Medienregulierung prägt die Debatte um den Funktionsauftrag von öffentlich-rechtlichen Medien (ÖRM). Denn mediale Vielfalt gilt als normative Voraussetzung für freie Meinungsbildung und betont damit die demokratiestützende Aufgabe von ÖRM. Mit Blick auf verschiedene Demokratiemodelle und strukturelle Rahmenbedingungen wird Vielfalt als Qualitätsdimension allerdings bislang empirisch – gerade in vergleichender Perspektive – nur vereinzelt analysiert. Dieser Beitrag überprüft mit einer manuellen quantitativen Inhaltsanalyse von fast 6.000 Beiträgen der Politikberichterstattung mit nationalem Bezug, wie vielfältig die Hauptnachrichtensendungen der ÖRM auf ihren traditionellen und Online-Kanälen in Deutschland, Österreich und der deutschsprachigen Schweiz und im Vergleich zu anderen Nachrichtenangeboten sind. Die Resultate zeigen geringe Unterschiede zwischen Offline- und Online-Kanälen und zwischen den Medientypen. Themen- und Akteursvielfalt sind relativ hoch, mit Einschränkungen durch den Fokus auf Akteure der Exekutive. Gleichzeitig reflektiert die Berichterstattung politische Systeme und Demokratiemodelle; entsprechend fällt der Fokus auf die Exekutive im liberal-repräsentativen Modell in Deutschland am stärksten aus, während die stärkere Präsenz von Parlament und organisierter Zivilgesellschaft in der Schweiz eher dem deliberativen Modell entspricht.
Die Berichterstattung über Suizidalität in Deutschland
Authors: Schäfer Markus , Frehmann Katharina
Published: May 2023

Zu den wichtigsten Präventionsmaßnahmen für suizidales Verhalten zählt die Weltgesundheitsorganisation eine verantwortungsvolle Medienberichterstattung über Suizidalität. Hintergrund hierfür sind Erkenntnisse zu möglichen Medieneffekten, wonach die Medienberichterstattung über Suizidalität zur Entstehung bzw. Verhinderung von suizidalem Verhalten beitragen kann und auf Medienseite vor allem die Art und Weise der Berichterstattung über die Richtung der Effekte entscheidet. Mögliche Effekte medialer Darstellungen von Suizidalität beschränken sich allerdings nicht auf das soziale Lernen von positiven oder negativen Suizidmodellen, sondern können auch die Vorstellungen der Rezipient:innen von der sozialen Realität bei diesem Thema maßgeblich prägen. Zur Berichterstattung über Suizidalität abseits prominenter Einzelfälle in Deutschland ist jedoch bislang kaum etwas bekannt. Der Beitrag widmet sich mit Hilfe einer quantitativen Inhaltsanalyse der Berichterstattung von neun überregionalen Printmedien den Fragen, a) wie intensiv und prominent journalistische Medien in Deutschland über Suizidalität berichten, und b) welche Inhalte und Kontexte bei der Berichterstattung im Fokus stehen. Die Ergebnisse zeigen, dass die Medien in Deutschland kontinuierlich und intensiv, jedoch häufig auch beiläufig über Suizidalität berichten und die Medienrealität ein tendenziell verzerrtes Bild der sozialen Wirklichkeit zeichnet.
Women’s History at Crossroads: Quantification of Qualitative Data and Literary Analysis, Gender Equality, and Space in Battal Ghazi Texts
Authors: Akşit Elif E.
Published: May 2023

How efficient are computerised tools in studying women’s history? Can the field benefit from highly technicalised approaches more than qualitative approaches? Is qualitative data quantified when we analyse literary texts for women’s history with computerised tools, or are these in fact opposite? In this essay, I address these questions with examples from my research on Battal Ghazi texts from the sixteenth to the early twentieth centuries, especially looking at books written in the early 1940s and 1970s and their spatial references to Christian Greek women and Muslim men. I focus on the aforementioned methodological questions that have emerged from the ongoing research and argue that computerised data is only meaningful when in direct dialogue with textual and historical analysis of gender, thus cannot be understood in a vacuum.
Glück
Authors: Fenner Dagmar
Published: May 2023

Obgleich die Frage nach dem Glück nach langer Ausgrenzung aus dem philosophischen Diskurs zugunsten moralischer Fragen heute eine Renaissance feiert, stagniert die philosophische Glücksforschung aufgrund ihrer Frontstellung gegenüber den empirisch orientierten Einzelwissenschaften der Psychologie und Soziologie, ist Glück immer noch Glückssache. Weil man dem hochkomplexen Phänomen Glück kaum aus einer begrenzten einzelwissenschaftlichen Perspektive gerecht werden kann, stellt diese interdisziplinäre Studie einen umfassenden Versuch einer systematischen Integration sämtlicher glücksrelevanter Forschungsergebnisse aus Philosophie, Anthropologie, Psychologie und Soziologie dar. Die Studie plädiert für ein transaktionales Glücksmodell, das sowohl einen radikalen Objektivismus (Glücksgüterobjektivismus) als auch Subjektivismus (Hedonismus) überwindet: So wenig jemand nämlich aufgrund einer glänzenden (objektiven) Lebenssituation bereits glücklich ist, ohne dieses Glück auch zu spüren, so wenig ist jemand allein aufgrund eines positiven (subjektiven) Gestimmtseins glücklich, wenn er sich über die Wirklichkeit seiner Lage täuscht. Ausgehend von einer multifaktoriellen Wechselwirkung zwischen Subjekt und Welt werden daher a) die glückskonstitutiven kognitiv-wertenden Stellungnahmen des Subjekts zu seinen äußeren Lebensbedingungen und b) seine glücksförderlichen Handlungskompetenzen und Qualifikationen im Umgang mit der Außenwelt eingehend analysiert.
Patch Based Sclera and Periocular Biometrics Using Deep Learning
Authors:   GITAM School of Technology, Bengaluru, 561205, India, Sandhya V. , Hegde Nagaratna P.
Published: May 2023

Biometric authentication has become an essential security aspect in today's digitized world. As limitations of the Unimodal biometric system increased, the need for multimodal biometric has become more popular. More research has been done on multimodal biometric systems for the past decade. sclera and periocular biometrics have gained more attention. The segmentation of sclera is a complex task as there is a chance of losing some of the features of sclera vessel patterns. In this paper we proposed a patch-based sclera and periocular segmentation. Experiments was conducted on sclera patches, periocular patches and sclera-periocular patches. These sclera and periocular patches are trained using deep learning neural networks. The deep learning network CNN is applied individually for sclera and periocular patches, on a combination of three Data set. The data set has images with occlusions and spectacles. The accuracy of the proposed sclera-periocular patches is 97.3%. The performance of the proposed patch-based system is better than the traditional segmentation methods.
Two-Layer Security of Images Using Elliptic Curve Cryptography with Discrete Wavelet Transform
Authors:   JNNCE/CSE, Shivamogga, 577204, Karnataka, India, M. Ganavi , S. Prabhudeva
Published: May 2023

Information security is an important part of the current interactive world. It is very much essential for the end-user to preserve the confidentiality and integrity of their sensitive data. As such, information encoding is significant to defend against access from the non-authorized user. This paper is presented with an aim to build a system with a fusion of Cryptography and Steganography methods for scrambling the input image and embed into a carrier media by enhancing the security level. Elliptic Curve Cryptography (ECC) is helpful in achieving high security with a smaller key size. In this paper, ECC with modification is used to encrypt and decrypt the input image. Carrier media is transformed into frequency bands by utilizing Discrete Wavelet Transform (DWT). The encrypted hash of the input is hidden in high-frequency bands of carrier media by the process of Least-Significant-Bit (LSB). This approach is successful to achieve data confidentiality along with data integrity. Data integrity is verified by using SHA-256. Simulation outcomes of this method have been analyzed by measuring performance metrics. This method enhances the security of images obtained with 82.7528db of PSNR, 0.0012 of MSE, and SSIM as 1 compared to other existing scrambling methods.
Detecting Remote Access Network Attacks Using Supervised Machine Learning Methods
Authors:   Maseno University, School of Computing and Informatics, Private Bag, Maseno, Kenya, Ndichu Samuel , McOyowo Sylvester , Okoyo Henry , Wekesa Cyrus
Published: May 2023

Remote access technologies encrypt data to enforce policies and ensure protection. Attackers leverage such techniques to launch carefully crafted evasion attacks introducing malware and other unwanted traffic to the internal network. Traditional security controls such as anti-virus software, firewall, and intrusion detection systems (IDS) decrypt network traffic and employ signature and heuristic-based approaches for malware inspection. In the past, machine learning (ML) approaches have been proposed for specific malware detection and traffic type characterization. However, decryption introduces computational overheads and dilutes the privacy goal of encryption. The ML approaches employ limited features and are not objectively developed for remote access security. This paper presents a novel ML-based approach to encrypted remote access attack detection using a weighted random forest (W-RF) algorithm. Key features are determined using feature importance scores. Class weighing is used to address the imbalanced data distribution problem common in remote access network traffic where attacks comprise only a small proportion of network traffic. Results obtained during the evaluation of the approach on benign virtual private network (VPN) and attack network traffic datasets that comprise verified normal hosts and common attacks in real-world network traffic are presented. With recall and precision of 100%, the approach demonstrates effective performance. The results for k-fold cross-validation and receiver operating characteristic (ROC) mean area under the curve (AUC) demonstrate that the approach effectively detects attacks in encrypted remote access network traffic, successfully averting attackers and network intrusions.
Predicting Intrusion in a Network Traffic Using Variance of Neighboring Object’s Distance
Authors:   Dr. A.P.J. Abdul Kalam Technical University / CSE, Lucknow, India, Sharma Krishna Gopal , Singh Yashpal
Published: May 2023

Activities in network traffic can be broadly classified into two categories: normal and malicious. Malicious activities are harmful and their detection is necessary for security reasons. The intrusion detection process monitors network traffic to identify malicious activities in the system. Any algorithm that divides objects into two categories, such as good or bad, is a binary class predictor or binary classifier. In this paper, we utilized the Nearest Neighbor Distance Variance (NNDV) classifier for the prediction of intrusion. NNDV is a binary class predictor and uses the concept of variance on the distance between objects. We used KDD CUP 99 dataset to evaluate the NNDV and compared the predictive accuracy of NNDV with that of the KNN or K Nearest Neighbor classifier. KNN is an efficient general purpose classifier, but we only considered its binary aspect. The results are quite satisfactory to show that NNDV is comparable to KNN. Many times, the performance of NNDV is better than KNN. We experimented with normalized and unnormalized data for NNDV and found that the accuracy results are generally better for normalized data. We also compared the accuracy results of different cross validation techniques such as 2 fold, 5 fold, 10 fold, and leave one out on the NNDV for the KDD CUP 99 dataset. Cross validation results can be helpful in determining the parameters of the algorithm.
Efficient Load Balancing in WSN Using Quasi – oppositional Based Jaya Optimization with Cluster Head Selection
Authors:   University College of Engineering Pattukkottai /, Department of Electronics and Communication Engineeringi Rajamadam, Thanjaur, Tamilnau, India-614 701, Muthukkumar M. S. , Diwakaran S.
Published: May 2023

Researchers have been paying close attention to the wireless sensor (WSN) networks area because of its variety of applications, including industrial management, human detection, and health care management. In Wireless Sensor (WSN) Network, consumption of efficient energy is a challenging problem. Many clustering techniques were used for balancing the load of WSN network. In clustering, the cluster head (CH) is selected as a relay node with greater power which is compared with the nodes of non-CH. In the existing system, it uses LBC-COFL algorithm to reduce the energy consumption problem. To overcome this problem, the proposed system uses Quasi oppositional based Jaya load balancing strategy with cluster head (QOJ-LCH) selection protocol to boost the lifespan of network and energy consumption. The QOJ-LCH method improves the relay nodes life and shares the load on relay nodes equitably across the network to enhance the lifespan. It also reduces the load-balancing problems in Wireless Sensor networks. It uses two routing methods single-hop and multiple-hop. The proposed QOJ-LCH with cluster head selection method enhances the network’s lifespan, total amount of power utilization and the active sensor devices present in the Single-hop routing,it worked with 1600 rounds in network and 300 sensor nodes, for Multiple-hop routing, it worked with 1800 rounds in network and 350 sensor nodes. It achieves better performance, scalability and reliability.
Machine Learning in Cyberbullying Detection from Social-Media Image or Screenshot with Optical Character Recognition
Authors:   Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh, Sultan Tofayet , Jahan Nusrat , Basak Ritu , Jony Mohammed Shaheen Alam , Nabil Rashidul Hasan
Published: May 2023

Along with the growth of the Internet, social media usage has drastically expanded. As people share their opinions and ideas more frequently on the Internet and through various social media platforms, there has been a notable rise in the number of consumer phrases that contain sentiment data. According to reports, cyberbullying frequently leads to severe emotional and physical suffering, especially in women and young children. In certain instances, it has even been reported that sufferers attempt suicide. The bully may occasionally attempt to destroy any proof they believe to be on their side. Even if the victim gets the evidence, it will still be a long time before they get justice at that point. This work used OCR, NLP, and machine learning to detect cyberbullying in photos in order to design and execute a practical method to recognize cyberbullying from images. Eight classifier techniques are used to compare the accuracy of these algorithms against the BoW Model and the TF-IDF, two key features. These classifiers are used to understand and recognize bullying behaviors. Based on testing the suggested method on the cyberbullying dataset, it was shown that linear SVC after OCR and logistic regression perform better and achieve the best accuracy of 96 percent. This study aid in providing a good outline that shapes the methods for detecting online bullying from a screenshot with design and implementation details.
Healthcare Vulnerability Mapping Using K-means ++ Algorithm and Entropy Method: A Case Study of Ratnanagar Municipality
Authors:   Nepal College of Information Technology, Singh Apurwa , Koju Roshan
Published: May 2023

Healthcare is a fundamental human right. Vulnerable populations in healthcare refer to those who are at greater risk of suffering from health hazards due to various socio-economic factors, geographical barriers, and medical conditions. Mapping of this vulnerable population is a vital part of healthcare planning for any region. Very few such research regarding the distribution of healthcare service providers was carried out in the Nepali context previously. Thus, the results of vulnerability mapping can help with meaningful interventions for healthcare demands. This study focused on combining geo-analytics, unsupervised machine learning algorithms, and entropy methods for performing vulnerability mapping. K-means++ clustering algorithm was applied to household data of Ratnanagar municipality for the purpose of creating multiple clusters of households. An open-source routing machine was used to compute the distance to the nearest health service provider from each household in Ratnanagar municipality. The entropy method was used to evaluate the vulnerability measure of each cluster. Later, based on the population of different clusters in each ward and their respective vulnerability measures, each ward’s vulnerability measure was quantified. It can be observed that wards that are farther away from the east-west highway have higher vulnerability indices. This study found that machine learning algorithms can be effectively used in combination with the weighting method for vulnerability mapping. Using an unsupervised machine learning algorithm made sure that dimensions of vulnerability are visible.
A Survey on Security Threats to Machine Learning Systems at Different Stages of its Pipeline
Authors:   Kalinga University, Raipur (CG), India, Lahe Akshay Dilip , Singh Guddi
Published: May 2023

In recent years, Machine learning is being used in various systems in wide variety of applications like Healthcare, Image processing, Computer Vision, Classifications, etc. Machine learning algorithms have shown that it can solve complex problem-solving capabilities close to humans or beyond humans as well. But recent studies show that Machine Learning Algorithms and models are vulnerable to various attacks which compromise security the systems. These attacks are hard to detect because they can hide in data at various stages of machine learning pipeline without being detected. This survey aims to analyse various security attacks on machine learning and categorize them depending on position of attacks in machine learning pipeline. This paper will focus on all aspects of machine learning security at various stages from training phase to testing phase instead of focusing on one type of security attack. Machine Learning pipeline, Attacker’s goals, Attacker’s knowledge, attacks on specified applications are considered in this paper. This paper also presented future scope of research of security attacks in machine learning. In this Survey paper, we concluded that Machine Learning Pipeline itself is vulnerable to different attacks so there is need to build a secure and robust Machine Learning Pipeline. Our survey has categorized these security attacks in details with respect to ML Pipeline stages.
Early and Accurate Diagnosis of a Neurological Disorder Epilepsy Using Machine Learning Techniques
Authors:   Department of Computer Science and Engineering, RV College of Engineering, Bengaluru-560059, India, Rangaswamy Shanta , Rakesh Jinka , charan Perla Leela , Giridhar Deeptha
Published: May 2023

An epileptic seizure is a type of seizure induced by aberrant brain activity caused by an epileptic condition, which is a brain Central Nervous System disorder (CNS). CNSs are relatively prevalent and include a wide range of symptoms, including loss of awareness, and strange behaviour. These symptoms frequently result in injuries as a result of walking imbalance, tongue biting, and hearing loss. For many researchers, detecting a prospective seizure in advance has been a difficult undertaking. In this research work we have used non-imaging data and applied supervised learning algorithms to determine the classification of epilepsy and try to improve the efficiency of the model, compared to the existing ones. Random Forest algorithm was found to have highest accuracy compared to other machine learning models. The paper can be helpful in diagnosing high-risk brain diseases and predicting diseases such as Alzheimer's with symptoms challenging to predict and diseases with overlapping symptoms and overlapping symptoms and attribute values. The scope of the research work can be further extended to determine at which stage the epilepsy is present in a patient, in order to provide a correct diagnosis and medical treatment.
Modos de ver: presentación
Authors: Sanabria Boix Ramon
Published: May 2023

El presidente de Arquitectes per l’Arquitectura Ramón Sanabria presenta el simposio Modos de Ver Valencia, celebrado en el marco de una serie de jornadas organizadas por la asociación que debaten sobre el presente y el futuro de las ciudades.
Modos de ver: ponencias
Authors: Rubert de Ventós Maria , Estévez Xerardo , Ferrater Lambarri Carlos
Published: May 2023

Durante el acto celebrado en el palacio Boïl de Arenós tres invitados externos a la ciudad de Valencia contraponen una mirada más lejana, generando un cara a cara entre lo próximo y lo alejado que se continuó en el posterior debate.
Palabra de Pritzker
Authors: Moix Llàtzer
Published: May 2023

El escritor Llàtzer Moix presenta su último libro Palabra de Pritzker, en el que conversa con ganadores del prestigioso galardón: de Frank Gehry a Francis Diébédo Kéré, pasando por Álvaro Siza, Rafael Moneo, Renzo Piano, Norman Foster, Jacques Herzog o Kazuyo Sejima, hasta completar una lista de veintitrés laureados.
A Dynamic Model of Delimited Infinite Semiosis
Authors: Céspedes Esteban , Fuentes Miguel Ángel ,   Semiotic Society of America
Published: May 2023

Although it is broadly accepted that semantic interpretation depends on various kinds of conditions, it is still a big challenge to provide an account of meaning that clarifies how the plurality of meaning structures can be stabilized. In this paper, we analyze the ambiguity of interpretive processes, proposing a model that schematizes the mechanisms that can lead to the arrest of so-called unlimited semiosis. Although we elaborate our analysis mainly on the grounds of Eco’s account of unlimited semiosis, we would also like to put an emphasis on Peirce’s notion of habit, in order to tackle some relevant issues concerning it. Our proposal defines conceptual dynamics in topological terms. It shows how a recursive mechanism within semiosis can generate a basin of conceptual attraction, allowing the understanding of a phenomenon that is traditionally studied in a very qualitative way: how infinite semiosis can serve in different contexts of discourse. The basic idea can be applied to systems that process information in general, and the resulting conclusions are in principle applicable to texts, works of art, oral messages, and any sign or set of signs
Strategies to Improve The Welfare of Online Ojek Drivers During the Covid-19 Pandemic Perspective on Islamic Economics
Authors: Nurna Dewi Nuning , Fathoni Rodly Achmad , Rofiqoh Relita
Published: May 2023

Strategies for Improving the Welfare of Online Ojek Drivers in the Covid-19 Pandemic Period with an Islamic Economic Perspective (Case Study on Nusantara Ojek Surabaya) is the result of a qualitative study that aims to answer questions about (1) How is the business strategy of Nusantara Ojek (NU-Jek) to drivers during the Covid-19 pandemic (2) What is the strategy to increase Nusantara Ojek (NU-Jek) for drivers during the Covid-19 pandemic in the perspective of Islamic economics. The method used is a phenomenological-qualitative approach. Data collection techniques through interviews, documentation, and observations of NU-Jek Managers. NU-Jek Surabaya Branch drivers and Passengers or NU-Jek driver customers in Surabaya. The research results obtained indicate that the business strategies applied by Nusantara Ojek during the pandemic are: 1) Stability strategy while maintaining order driver rates, 2) Expansion strategy by adding NU-Self products, expanding cooperation, and adding additional deposit balances, 3) Strategy downsizing by providing discounts on NU-Jek attributes and discounts on registration for Mega Syariah insurance. Meanwhile, Nusantara Ojek's strategy in improving welfare during the pandemic according to the Islamic economic perspective is, 1) by expanding cooperation with the Indonesian post office. NU-Jek drivers can be couriers between goods and services for the post office. This strategy can improve the performance of the drivers, be able to increase their income. 2) Improving the welfare of the Islamic economic perspective seen from the security aspect of Nusantara Ojek in providing guarantees for the welfare of drivers during the pandemic in the form of insurance registration discounts.
Effect of Rebozo Reaction on The Length of Labor in Primiparous Mothers in PMB Deli Serdang Year 2021
Authors: Suryani Suryani , Marini Tri , Hutabarat Julietta , Mamik Mamik , Darti Nur Afi
Published: May 2023

According to the 2012 IDHS, it was noted that prolonged labor by 38.2% was the main cause of maternal and perinatal death, followed by bleeding 35.26% and eclampsia 16.44%. Prolonged parturition can result in an emergency for both mother and baby. In mothers it can cause bleeding, shock and death, while in infants it can cause fetal distress, asphyxia and caput. One of the efforts to prevent prolonged labor is to use the Rebozo Relaxation Technique which supports labor so that it can run physiologically. The purpose of this study was to determine the effect of rebozo relaxation on the length of labor in Primipara mothers. This type of research uses a Quasi Experimental Design research design with a Non-Equivalent Control Group research design. The sample in this study was 40 respondents divided by 20 people in the control group and 20 in the experimental group. Data collection using T-Test and Mann Whitney Test. The results of the study obtained p value (0.00) <α (0.005). With a frequency of 4-8 times and a duration of 20-45 minutes with an intensity of 85%-95%, the total length of labor in the experimental group averaged 334.50 minutes (5.57 hours) and the non-experimental group averaged 478, 75 minutes (7.79 hours). Suggestion for applying Rebozo Relaxation to Mothers of Inpartum Primigravida Stage I Active Phase to prevent prolonged labor and reduce oxytocin injection for primigravida.
Addition of Fly Ash and Aluminum Slag as Cement Substitute Materials to Cellular Lightweight Concrete
Authors: Risdianto Yogie
Published: May 2023

Most of the construction buildings that are often found use concrete as the main building material. The development of technology makes more and more new types of modified concrete, one of which is lightweight concrete. Lightweight concrete that is often found is lightweight concrete CLC (Cellular Lightweight Concrete). The construction of non-structural elements of the building applies CLC lightweight concrete at a lower cost than standard concrete due to faster work, more temperature resistance, ease of handling, and lighter density. This study aims to find the optimum percentage and effect of using aluminum slag and fly ash as a partial replacement of cement in cellular lightweight concrete. The test object is printed in a molding size of 5x5x5 cm3. The use of aluminum slag is 0%, 1.5%, 3%, 4.5%, 6%, and 7.5%, while the use of fly ash is 15% of the cement weight. The tests carried out included volume weight, compressive strength, and water absorption at the age of 3, 7, 14, 21, and 28 days. The results of this study, it can be concluded that increasing the variation of aluminum slag with fly ash content remains at 15% in each variation as a cement substitution, the most significant variation is 1.5%. The optimum compressive strength test results at a variation of 1.5% of 4.1 MPa with the highest specific gravity of 752 gr/cm3, and water absorption of 66.67%, it all specimens at the age of 28 days.
A Study on Music Genre Classification using Machine Learning
Authors: Ghosh Partha , Mahapatra Soham , Jana Subhadeep , Kr. Jha Ritesh
Published: May 2023

Artificial Intelligence (AI) and Machine Learning can be cited as one of the greatest technological advancements in this century. They are revolutionizing the fields of computing, finance, healthcare, agriculture, music, space and tourism. Powerful models have achieved excellent performance on a myriad of complex learning tasks. One such subset of AI is audio analysis. It entails music information retrieval, music generation and music classification. Music data is one the most abstruse type of source data present, mainly because it is a tough work to extract meaningful correlating features from it. Hence a myriad of algorithms ranging from classical to hybrid neural networks have been tried on music data for a getting a good accuracy. This paper studies the various methods that can be used for music genre classification and compares between them. The accuracies we obtained on a small sample of the Free Music Archive (FMA) dataset were: 46% using Support Vector Classifier (SVC), 40% using Logistic Regression, 67% using Artificial Neural Network (ANN), 77% using Convolutional Neural Networks (CNN), 90% using Convolution-Recurrent Neural Network (CRNN), 88% using Parallel Convolution-Recurrent Neural Network (PCRNN), 73% without using Ensemble technique and 85% using Ensemble technique of Ada Boost. We defined SVC as our baseline model which had 46% accuracy, and we defined the succeeding models to achieve accuracy greater than that. ANN gave us 67% on the test dataset, which was surpassed by CNN at 77%. We noticed image based features worked better at classifying the labels than normal extracted features from the audio. A combination of CNN and RNN worked the best for the dataset, with a series CRNN model giving the best accuracy. Succeeding that, we tried to fit an ensemble model onto our dataset and analyzed its workings. This paper presents a comprehensive study of the various methods that can be used for music genre classification, with a focus on some parallel models and ensembling techniques.
Analysis of the Effect of Land Use on Flood Discharge in the Pangkajene River Basin, Pangkajene Regency and the Islands
Authors: Zainuddin Muhammad Rizal , Selintung Mary , Lopa Rita
Published: May 2023

Changes in land cover that occur have an impact on hydrological conditions in a watershed. The hydrological condition referred to by the amount of watershed output is the discharge which describes the amount of water. This study aims to determine the effect of changes in land cover on river flow in the Pangkajene watershed. Data were analyzed using hydrological analysis and land use change. The results showed that there was an increase in design flood discharge of ±18.83 m³ in each return period. Changes in land use that occur are the area of rice fields, ponds, and settlements increases while the area of forest decreases. The increase in the value of flood discharge is not significant because changes in land use have not changed much either.
প্রচলিত ও ইসলামি আইনের আলোকে অপচয়ের বিধান : পরিপ্রেক্ষিত বাংলাদেশ|The Provision of Wastage in the Light of Conventional and Islamic Law : Bangladesh Perspective.
Authors:   Department of Arabic, Islami Arabic University, Ahmad Zaved
Published: May 2023

Wealth is an essential element in human life. It is a natural human instinct to earn and spend wealth. But sometimes this expenditure turns into wastage. Wastage is not only confined to the life of the individual but also takes place in society, state and overall global economic life. As the level of wastage has increased in modern times more than any other period, so has the multifaceted field of wastage. This article has critically elucidated the harmful effects of wastage in the light of conventional and Islamic law. In accomplishing it’s purpose, the article has explored descriptive and comparative method of research. The article shows that by following the guidelines of Islamic law as well as respecting conventional law, it is possible to prevent wastage completely.
অর্থবিচারে হাদিসের গ্রহণযোগ্যতা নিরূপণে হাদীসপন্থি ও আধুনিকচিন্তকদের কর্মপদ্ধতি : একটি পর্যালোচনা|Approaches of Hadith Scholars and Modern Thinkers in Assessing the Acceptability of Hadith (Prophetic Tradition) through Meaning : An Appraisal
Authors:   Bangladesh Islamic Law Research & Legal Aid Centre, Al Mahmud Boorhan
Published: May 2023

Due to its unique position in Islamic epistemology, various viewpoints and opinions have naturally arisen in the Muslim society regarding the interpretation and analysis of hadith. According to Islamic belief, hadith as a whole, holds the status of a kind of wahi or divine revelation. How to interpret revelation is a very old question in Abrahamic religions. There is a long discussion and debate about this among different sections of the Muslim society. Especially between the traditionalist hadith scholars and the rationalist community, the disagreement on this issue is quite strong and long. After the fourth century of the Hijri, this disagreement dwindled a little, but at the end of the nineteenth century, under the influence of European colonization, this debate started in a new form by the hands of modernist Muslim thinkers. It is at this stage that the discussion of determining the acceptability of hadith based on meaning becomes important. In this essay, the views and practices of prominent people of both communities are presented in a descriptive manner and their thoughts are evaluated in an analytical manner. This write up has portrayed that judging the meaning of hadith is extremely difficult. For this reason, the article argues that opportunity exists for adherents of both schools of thought to reconsider their stance in the light of history and reality.
জনস্বার্থে রাষ্ট্রকর্তৃক ভূমি অধিগ্রহণ : প্রচলিত ও ইসলামি আইনের তুলনামূলক পর্যালোচনা|Land Acquisition by State for Public Interest: Comparative Analysis Between Conventional and Islamic Law
Authors:   University of Dhaka, Bangladesh., Ahsan Mahmudul , Islam Towhidul ,   University of Dhaka, Bangladesh.
Published: May 2023

Islam attaches great importance to property rights and at the same time takes active responsibility for the overall welfare of the state's citizens. In the continuation of this, the issue of acquisition of land by state for public interest has also received great attention in Islamic law. Acquisition of land by state is required to undertake various developmental projects. Employing descriptive and analytical methods this article has demonstrated that acquisition of land for public interest is valid subject to several conditions in Islam. In this case, the interests of both the people and the owners should be taken into consideration. No one can be oppressed. Although Islamic law has similarities with conventional domestic law, in many cases the interests of land owners are neglected. This article has endeavored to substantiate that in case of acquisition of land for public interest Islamic Law has provided more importance than Conventional Law to protect the interest of both parties.
বাংলাদেশের নারী গৃহকর্মীদের কর্মপরিস্থিতি ও অধিকার: ইসলামী দিক-নির্দেশনা|Working Conditions and Rights of Women Domestic Workers in Bangladesh: Islamic Perspective
Authors:   Institute of Bangladesh Studies, University of Rajshahi., Rahman Md. Muhibur
Published: May 2023

A significant part of the working class is women domestic workers, who work tirelessly to perform household tasks for their employers for low wages. In Bangladesh, women domestic workers are not getting the status and rights they deserve, there are regular reports of abuse of domestic workers. Though this group of workers engaged in the informal sector occupies a significant place in the labour market of Bangladesh they are not recognized. Since Bangladesh is a Muslim majority country, it is possible to establish the rights of domestic workers if people can be encouraged by promoting Islamic guidelines. Islam is a comprehensive way of life and it lays down effective principles regarding the rights of domestic workers. The purpose of this article is to explore the existing working conditions and rights of women domestic workers in Bangladesh and elucidate the Islamic guidelines in this context. It examines the issue using content analysis following the descriptive-analytical method. This research has revealed that women domestic workers are not receiving their due status as workers in Bangladesh. Establishing a robust legislative framework based on Islamic guidelines will ensure the desired outcome in this scenario.
Space as a strategic geography
Authors:   Australian Defence Force, Wooding Pete
Published: May 2023

Space is a congested, contested, and competitive physical domain of growing strategic importance. As such, it is useful, and topical, to consider space in the context of strategic geography, which has long been a central tenet of national interests and national security. Traditionally though, the concept of strategic geography has been constrained primarily by terrestrial considerations, a limitation that discussion of the space domain must redress in order to better underpin the evolving character and conceptualisation of space power. It is in this context that space must be realised as a unique operating domain that critically facilitates global interconnectedness and interdependence in terms of economic, geopolitical, and social considerations. This is all the more important noting the growing accessibility to space by state, non-state, and commercial actors makes it not only more valuable but also more vulnerable.