bluuebunny/crossref_metadata_2025 huggingface dataset:
La mort de Solon et la félicité intellectuelle d’après Albert le Grand, Juda de Rome et Moïse ben Sabbataï (Rome, xiv e siècle)
Authors: Rothschild Jean-Pierre
Published: April 2024

L’édition critique des œuvres de Moïse ben Sabbataï, philosophe juif actif (à Rome ?) vers 1340, avait signalé, parmi d’autres sources latines lues dans les traductions en hébreu de son contemporain Juda de Rome, un exemplum présentant le sage athénien Solon sur son lit de mort en champion de la doctrine de l’élévation intellectuelle en vue de la vie éternelle. Cette note identifie comme sa source un chapitre d’Albert le Grand, De natura et origine animae II, 13, dont la traduction en hébreu se trouve dans un ouvrage inédit de Juda de Rome, son Commentaire du Qaddīš et de la Qeduššāh. La traduction du chapitre est éditée, l’histoire de l’ exemplum reconstituée et son emploi par les trois auteurs, remis en contexte et interprété.
Intuition et présence selon Hervé de Nédellec, Édition critique du Quodlibet IV, 11
Authors: Piché David
Published: April 2024

Cet article offre la toute première édition critique du Quodlibet IV, q. 11, d’Hervé de Nédellec (Hervaeus Natalis ; c. 1250/60-1323), laquelle est précédée d’une étude du contenu doctrinal de cette question quodlibétique qui traite essentiellement de trois choses : une définition de la connaissance intuitive ; une explication de ce que signifie la présence d’une chose ; une analyse des modalités selon lesquelles la connaissance – et en particulier l’intuitive – dépend de la présence de la chose connue.
L’Europe submergée ?
Authors: Parant Alain
Published: April 2024

Comme aux États-Unis, les migrations internationales et, plus spécifiquement, le risque de voir le continent « envahi » d’immigrés font l’objet de vives controverses en Europe ; la peur qu’ils suscitent est amplement exploitée à des fins idéologiques. Ce n’est pas très nouveau, comme en témoignent deux textes écrits voici presque 40 ans : un article publié par Jacques Lesourne dans la revue Le Débat , en 1985, et le livre d’Alfred Sauvy L’Europe submergée. Sud-Nord dans 30 ans , publié en 1987. Alain Parant les a relus et en présente ici les principales idées, montrant au passage qu’il était alors possible d’aborder le sujet de manière très pragmatique et néanmoins directe, sans que cela suscite des réactions aussi vives qu’aujourd’hui. Jacques Lesourne, observant la dynamique comparée de la population au nord, et au sud et à l’est de la Méditerranée, ainsi que les disparités entre les deux rives en termes de développement et de culture, anticipait déjà très clairement l’essor « naturel » des migrations Sud-Nord. Ce différentiel s’est depuis confirmé, sinon accentué, comme le montre ce Futur d’antan d’Alain Parant, qui ne va pas jusqu’à se hasarder à de nouvelles projections ou préjuger des vertus et des risques d’un tel afflux d’étrangers. Et qui ne questionne pas non plus leur intégration et celle de leurs descendants dans les sociétés d’accueil, ni n’aborde la question de l’efficacité des politiques visant à réglementer les flux migratoires.  H.J.
Offensive des plateformes chinoises de vente en ligne
Authors: Isaac Henri
Published: April 2024

La fulgurante ascension économique de la Chine en quelques décennies et les inquiétudes géopolitiques que sa relation avec Taiwan ou les États-Unis suscitent font régulièrement la une des médias. Mais cette partie émergée de l’iceberg masque d’autres avancées dans le domaine économique, qui pourraient bien achever de déplacer le centre du monde vers Pékin. C’est en particulier le cas du secteur du e-commerce, dans lequel les Chinois ont bâti un modèle économique très spécifique et très différent des stratégies commerciales des Occidentaux, mais qui aujourd’hui leur permet de maîtriser l’intégralité de la chaîne de valeur des produits qu’ils commercialisent. Longtemps cantonnée au rang d’usine du monde, la Chine serait-elle en passe de maîtriser tous les rouages du e-commerce mondial, de la fabrication à la distribution, et de supplanter les géants américains du secteur (tel Amazon), en Asie, en Europe et même aux États-Unis ? Henri Isaac montre, dans cet article, comment peu à peu la Chine s’est imposée dans ce secteur du commerce électronique, en développant des plateformes qu’elle a patiemment rodées sur son propre territoire avant de partir à la conquête des autres marchés à l’étranger. Il présente les divers acteurs qui occupent ce terrain de jeu, les stratégies et modèles d’affaires qu’ils ont développés, qui recourent largement à l’intelligence artificielle, ainsi que la réaction des acteurs américains et européens face à leur offensive. Une réaction qui arrive peut-être trop tard pour renverser la vapeur…  S.D.
L’enfant-montessorien : une nouvelle définition sociale de l’enfant ?
Authors: Leroy Ghislain
Published: April 2024

La figure d’un enfant « montessorien » a le vent en poupe dans de multiples instances de socialisation : écoles publiques, écoles privées, mais aussi dans certaines familles de milieux moyen et supérieur. Par une étude des discours adultes enseignants et familiaux qui valorisent cette nouvelle figure de l’enfant, nous en étudions les caractéristiques idéal-typiques. L’enfant montessorien est un enfant responsable et autonome ; il n’a pas besoin d’injonction adulte pour aller vers les activités d’apprentissage légitimes et les mener à bien. Plus qu’obéissant, il est (doit être) sincèrement intéressé par ces activités, ce qui s’explique notamment par un travail socialisateur familial préalable, qui s’avère continué dans les sphères scolaires. Sous ses formes actuelles, le montessorisme est une pédagogie de la socialisation à l’autonomie enfantine (l’adulte attend que l’enfant fasse de lui-même). Les enfants doivent précocement avoir fait leurs ces attendus sociaux, ce qui pose la question d’attentes disciplinaires aujourd’hui plus fortes envers eux, et d’une moindre tolérance vis-à-vis des comportements alternatifs.
Les stratégies de régulation émotionnelle collective au sein des espaces de discussion : l’étude de trois équipes dans des secteurs à risque émotionnel
Authors: Desmarais Céline , Agassiz Isabelle
Published: April 2024

Partant de l’idée que les espaces de discussion (EDD) sont un outil important de la réduction des risques psychosociaux, cet article fait l’hypothèse que cette réduction puisse être partiellement imputable aux stratégies de régulation émotionnelle qui sont déployées en leur sein. Les questions de recherche sont donc les suivantes : Quelles sont les stratégies de régulation émotionnelle collective mises en œuvre au sein des EDD, quelles sont les conditions pour qu’elles se développent et quel est leur impact sur le vécu des émotions au sein des équipes ? La régulation émotionnelle collective (REC) est définie comme le processus par lequel les membres d’une équipe construisent et respectent des normes de régulation émotionnelle susceptibles de modifier les émotions ressenties suite à un événement affectif concernant directement ou indirectement plusieurs membres de l’équipe. La méthodologie de recherche s’appuie sur l’analyse de trois cas dans des secteurs à risque émotionnel. Les résultats décrivent quels sont les schémas récurrents de régulation collective des émotions au sein des équipes. Ces schémas dépendent de la culture d’une équipe vis-à-vis des émotions et de la culture de discussion mais également du climat de l’équipe. L’article se conclut sur une discussion qui montre que l’accent sur la REC permet d’enrichir les explications sur les impacts des EDD sur la santé au travail. La discussion souligne l’importance que les échanges au sein des EDD soient ouverts sur les émotions (notamment les émotions négatives) et clarifie les conditions nécessaires pour que cela puisse fonctionner.
At-rest lateral earth pressure coefficient under narrow backfill widths: A numerical investigation
Authors: Weng Ningxin , Fan Lei , Zhang Cheng , Gong Guobin , Tan Lihua
Published: April 2024

The lateral earth pressure at rest is typically considered in situations where lateral wall movements are negligible. Determining the coefficient of lateral earth pressure at rest (referred to as K0) often relies on established classical equations. However, these equations often overlook the influence of the width of the backfill soil on lateral earth pressure. While this omission is generally acceptable when the backfill soil is wide enough, there are instances where a retaining wall supports backfill soils of limited width, such as basement walls between adjacent buildings. Yet, there is limited research addressing the impact of narrow backfill in such scenarios. We aimed to address this gap by investigating variations in K0 values under different conditions, including backfill width and soil properties. Using ABAQUS for numerical simulations, we refined and validated our model using relevant laboratory experimental data. Subsequently, the validated model was applied to various simulation scenarios. For narrow backfill widths (ranging from 0.1 to 0.7 times the retaining wall height), our findings indicated a general decrease in K0 values with decreasing backfill widths, often smaller than those estimated using classical equations. Additionally, along the depth of the wall, K0 values tended to decrease with increasing depth for narrow backfill widths. These findings contribute to our understanding of the impact of narrow backfill on K0.
On fixed point and an application of $ C^* $-algebra valued $ (\alpha, \beta) $-Bianchini-Grandolfi gauge contractions
Authors: Singh Moirangthem Pradeep , Rohen Yumnam , Alam Khairul Habib , Ahmad Junaid , Emam Walid
Published: April 2024

It is the purpose of the present paper to obtain certain fixed point outcomes in the sense of $ C^* $-algebra valued metric spaces. Here, we present the definitions of the gauge function, the Bianchini-Grandolfi gauge function, $ \alpha $-admissibility, and $ (\alpha, \beta) $-admissible Geraghty contractive mapping in the sense of $ C^* $-algebra. Using these definitions, we define $ (\alpha, \beta) $-Bianchini-Grandolfi gauge contraction of type I and type II. Next, we prove our primary results that the function satisfying our contraction condition has to have a unique fixed point. We also explain our results using examples. Additionally, we discuss some consequent results that can be easily obtained from our primary outcomes. Finally, there is a useful application to integral calculus.
Leveraging deep learning and image conversion of executable files for effective malware detection: A static malware analysis approach
Authors: GUVEN Mesut
Published: April 2024

The escalating sophistication of malware poses a formidable security challenge, as it evades traditional protective measures. Static analysis, an initial step in malware investigation, involves code scrutiny without actual execution. One static analysis approach employs the conversion of executable files into image representations, harnessing the potency of deep learning models. Convolutional neural networks (CNNs), particularly adept at image classification, have potential for malware detection. However, their inclination towards structured data requires a preprocessing phase to convert software into image-like formats. This paper outlines a methodology for malware detection that involves applying deep learning models to image-converted executable files. Experimental evaluations have been performed by using CNN models, autoencoder-based models, and pre-trained counterparts, all of which have exhibited commendable performance. Consequently, employing deep learning for image-converted executable analysis emerges as a fitting strategy for the static analysis of software. This research is significant because it utilized the largest dataset to date and encompassed a wide range of deep learning models, many of which have not previously been tested together.
InTEIrviews: An ODD for Qualitative Interviews in the Humanities
Authors: Puren Marie , Cafiero Florian
Published: April 2024

Qualitative interviews are a crucial research method for many disciplines in the humanities and social sciences. Yet apart from rare initiatives, interview transcriptions are seldom shared with other researchers. Even when they are, annotations are mostly absent, and rarely standardized or designed to be read by anyone but the initial research team. In this paper, we advocate for a more open management of these resources, and present a proposition for an XML-TEI–conformant standard that allows for their accurate transcription and annotation. The ODD we present is aimed at facilitating systematic analyses of corpora of interview transcriptions, as well as ensuring wider dissemination and reusability of these resources. Relying entirely on existing TEI elements to create this ODD, we combine primarily the elements and attributes declared by the modules “Transcription of Speech” and “Language Corpora.”
This ODD is designed to help describe the actual development of the interview, transcribe the interpretations made by the researcher(s), and tackle ethical or anonymity issues.
La carrière politique de Tarja Halonen et le concept de « citoyenneté féminine »
Authors: Railo Erkka
Published: April 2024

Tarja Halonen, du parti social-démocrate, devint la première présidente de la République de Finlande en 2000. Elle naquit en 1943 dans le quartier populaire de Kallio, et doit à sa persévérance et son entêtement une partie de son succès. L’évolution de l’économie, de la société et de la sphère politique finlandaise constituent l’autre partie de l’explication. L’édification de l’État providence offrit aux femmes la possibilité de participer au gouvernement du pays. La fin de la guerre froide transforma totalement la politique étrangère finlandaise. À partir de la fin des années 1980, la Finlande a cherché à améliorer sa sécurité par la coopération internationale et la promotion de la démocratie. La carrière de Tarja Halonen illustre le concept finlandais de citoyenneté féminine, qui donne aux femmes un rôle relativement important dans certains domaines de la politique, comme ceux de la santé et des questions sociales. Dans le cas de Tarja Halonen, il s’est agi de la promotion des droits de l’Homme, de la démocratisation et de l’égalité des sexes.
L’ascension politique de Gro Harlem Brundtland. Hasards, chance et malentendus ou manœuvres stratégiques ?
Authors: Krogstad Anne
Published: April 2024

L’ascension au pouvoir de la Première ministre Gro Harlem Brundtland a fait l’objet de nombreuses études. Le point de départ de cet article est une citation célèbre qualifiant son entrée dans la politique norvégienne de coïncidence, de hasard et de malentendu. Cette citation se réfère à trois événements majeurs de sa carrière politique : son entrée en politique, la façon dont elle a géré l’embrasement d’un puits de pétrole en mer du Nord alors qu’elle était ministre de l’Environnement et la façon dont elle devint – à la surprise de beaucoup – Première ministre en 1981. Il y eut certainement des éléments de chance dans la carrière politique de Brundtland. Mais ce type de description ne rend pas justice à son engagement, à sa capacité de travail et à sa capacité de se positionner de telle façon qu’il devint impossible de l’ignorer lorsqu’éclatèrent des crises. Cet article explorera des voies alternatives pour décrire l’ascension au pouvoir de Brundtland. Il montrera pourquoi la citation est à la fois parfaitement juste – et tout à fait fausse.
Locating Appropriate Executive Sponsorship and the Information Governance Cadillac as Catalysts for a Successful IG Program
Authors: Helge Kris Swen
Published: April 2024

There are many important facets to consider when establishing an information governance (IG) program. Many of these facets include ensuring you have executive sponsorship to support your new IG program, locating a large need in the organization to justify your IG program creation (AKA the grand Cadillac, discussed later in this chapter), securing adequate funding and staff, creating an IG program charter and strategic plan, recruiting organization-wide support through tiered steering committees, procuring efficient technologies, obtaining appropriate IG related education and training, and considering current industry-wide IG trends. However, the two most important aspects one must have in place to initially begin the building and sustainment of an IG program are high level executive sponsorship and a shiny Cadillac or large need in the organization that an IG program can help meet. The first and foremost important facet is the executive sponsor.
Building Culture for Sustaining Information Governance
Authors: Khun Jennie Lee
Published: April 2024

The chapter explains what information governance is and why it is important. The problem is identified that organizations know information governance is important but many fail to implement governance or do so poorly. The author questions why companies fail to recognize the benefit of a cultural approach to addressing this critical gap. The chapter introduces the concept that information governance is integral for every organization. The chapter provides insight into hiring, training, professional development, emotional intelligence, and soft skills to build a thriving organization. The chapter explores the need for a positive and dedicated approach to leadership. The chapter explores communication, operational efficiencies, board governance approaches, and examines compliance. Lastly, the chapter explores risk and why organizations must implement a risk management strategy. A conclusion summarizes the need for information governance to build a successful culture that adopts an information governance strategy to be successful.
Study of Literature on Quality Management in Manufacturing and Healthcare for Information Governance
Authors: Gopalan Balaji
Published: April 2024

The chapter aims to comprehend the best practices of quality management in manufacturing and healthcare services and its relevance to information governance. Quality management principles of quality gurus have contributed significantly to the manufacturing and services sector. Its implementations in manufacturing and health care services provide numerous learning opportunities. Delivery of care processes integrates quality of health and life, lean management, quality assurance, quality implementation, quality control, affordability, and satisfaction with services. These best practices in quality management are relevant across various disciplines of research including information management, psychology, business research, service quality and technology management. The study has explored the challenges of quality management in health care services and manufacturing and integrates studies that may contribute to the subject of quality management and its relevance for information governance.
Spatial Data Infrastructure for Information Governance
Authors: Ahmad Munir , Ali Asmat , Mobo Froilan Delute , Hussain Hammad
Published: April 2024

By examining the case study of spatial data infrastructure (SDI) implementation in Pakistan and its relationship with information governance, this chapter contributed to a deeper understanding of how effective spatial data management can support information governance objectives. A feasibility study is ongoing to establish NSDI in Pakistan. Moreover, a provincial-level SDI under PULSE is also planned. However, challenges such as the absence of uniform standards, a poor technology setup, and a shortage of qualified manpower are associated with NSDI implementation in Pakistan. By enhancing data quality and consistency and facilitating data sharing & collaboration, NSDI Pakistan would strengthen information governance in Pakistan by supporting decisions as well as policymaking. The findings and recommendations will help policymakers and practitioners in Pakistan, as well as researchers interested in the fields of spatial data infrastructure and information governance, advance their understanding and implementation of these critical concepts.
Performance Metrics Analysis Tool for Solar Energy Plants
Authors: Kasenina Unomasa , Musti K. S. Sastry
Published: April 2024

With the rise of grid connected independent power producers (IPP), performance analysis of energy generation plants becomes an essential task. This chapter presents design and development of a performance analysis tool using MS Excel for typical IPP with a grid connected solar PV plant. The tool utilizes historical data to determine various energy-metrics, econometrics, and financial metrics. Additionally, the tool can determine various key parameters such as the energy sales to the utility, energy that cannot be sold, and the load that cannot be served. The tool will have the capability of capturing data, doing calculations, and visualizing the data and output from calculations through plots and graphs.
Effect of Solar Energy Technology on Green Hydrogen Production
Authors: Nouicer Ilyès , Kaghouche Bessem , Ghenai Chaouki , Fares Meziane , Nourdine Kabouche
Published: April 2024

Hydrogen can be produced in a clean, emission-free manner using solar technologies. Solar energy technology, specifically photovoltaic energy paired with PEM (proton exchange membrane), is required to complete the electrochemical water splitting process. The actual challenge of integrating renewable energy sources into PEM is developing the best possible set of operating parameters. Hydrogen generation flow in this study depends on a number of variables. Using two distinct solar energy methods with equivalent energy production, the authors discovered that the flow of hydrogen production may be altered. The best results were recorded in Illizi (Afra), where the annual power consumption was measured at 896.65 kWh and the flow rate was calculated to be around 4.59 L/h. The global annual loss under this setup is rather small at 10.6%.
Green Hydrogen
Authors: Aydın Ayşenur Öztürk , Bozkurt Gamze , Daş Elif
Published: April 2024

Hydrogen (H2) is an energy carrier that offers both some of the benefits of fossil fuels and is clean with a low carbon footprint. Production of H2 from the water electrolysis using renewable energy is called green hydrogen and is the preferred pathway for future H2 production. In order to decarbonize the energy sector, green hydrogen must be adapted to existing systems using different technologies. Fuel cells, gas turbines (GTs), and combined heat and power (CHP) systems are the primary applications for hydrogen in power generation. CHP systems are highly efficient and can be employed in buildings, industrial facilities, and district energy systems to provide electrical and thermal energy. Heat pumps integrated with fuel cells are another example of energy-efficient technology. Mixing hydrogen in a specific volumetric ratio improves the resource utilization of the present natural gas heating systems. This chapter focuses on green hydrogen practices in electrical and thermal energy generation applications.
Usage of Green Hydrogen in the Steel Industry
Authors: Prasad G.
Published: April 2024

Since independence, steel has been the backbone of the Indian economy. Water, hydrocarbons (such as methane), and other organic substances all include hydrogen, which is abundant in nature. As a result, India is geopolitical reliance on coal, natural gas, and petroleum products as energy sources would be reduced as a result of the shift to hydrogen. In the long run, the transition would be beneficial since it might play a big role in other sectors such as transportation, process industry, agriculture, and long-term energy storage, making economies of scale easier to attain. The capital expenses are tough for the steel sector to absorb because it is traded on a global scale. If India wishes to maintain its position as one of the world's leading steel producers, the government should give incentives for hydrogen adoption through laws. This will draw the attention of independent hydrogen producers and lower the capital load on each steel plant, urging India to move toward emission-free steel production.
Unveiling the Potential and Hurdles of Blockchain in Green Hydrogen Management
Authors: Bachir Lynda Ait
Published: April 2024

Discovering how blockchain technology may solve the core problems of the green hydrogen supply chain is the primary goal of this research. The research reviews the existing literature and concludes that blockchain's intrinsic properties, including decentralization, immutability, privacy, and transparency, have the potential to spur revolutionary improvements in the green hydrogen supply chain. Blockchain technology promotes confidence among stakeholders and makes international commerce easier by improving green hydrogen's certification and traceability, streamlining its transportation, storage, consumption, and marketing strategies, and guaranteeing regulatory compliance. As a result, green hydrogen ecosystems become more efficient and sustainable.
Critical Analysis of Emerging and Disruptive Digital Technologies in an Era of Artificial Intelligence (AI)
Authors: Vargas-Hernandez José G. , Castañeda-Burciaga Selene , Guirette-Barbosa Omar A. , Vargas-Gonzàlez Omar C.
Published: April 2024

This study aims to analyze the emergent and disruptive digital technologies in an era of artificial intelligence (IA). It departs from the assumption that the emerging technologies create both opportunities and challenges with an impact on individuals, organizations, institutions, and society at large in terms of bias, surveillance, hacking, etc. The method employed is the critical analysis based on the recent developments reported in scientific literature. It is concluded that control over the ethical disruption of digital technologies and more specifically artificial strategy must require a digital conversation and leadership about acceptable ethical behaviors, under the assumption that digital transformation cannot be interrupted and must be guided by humans in in following years of the near future.
IoT-Based Smart Climate Agriculture System for Precision Agriculture Using WSN
Authors: Chaturvedi Pooja , Gandhi Purnima
Published: April 2024

The WSN are used for the collection of the data from the environment in the IOT based smart agriculture systems. The WSN constitute a challenging factor in collection and analysis of the data from the drones, due to the resource scarcity. Clustering can aid in managing the nodes in the sensor networks. The clustering process requires a large amount of energy in determining the most efficient node to be selected as a cluster head. The lifetime of the network is dependent on the energy consumption during the cluster head selection and data transmission process. The chapter proposes a cluster head (CH) selection and routing approach using weight-based cost function for the IOT based smart agriculture system. The nodes in the sensor network are clustered into a number of clusters using the k-medoids clustering. The optimal path for the data transmission towards the base station is obtained using the weighted cost function using the parameters trust value, residual energy and hop count. The performance of the existing approach is validated analytically.
AI-Augmented Medicine
Authors: Kaur Jaspreet
Published: April 2024

The integration of powerful artificial intelligence (AI) technologies alongside medical personnel has emerged as a transformational paradigm in the quickly expanding environment of healthcare. This study examines the several functions of AI-augmented medicine, with a particular focus on its capacity to transform multiple facets of healthcare provision. Artificial intelligence (AI) enables enhanced precision in diagnoses, tailored treatment strategies, and optimised clinical processes by leveraging advanced algorithms and machine learning methodologies. Furthermore, the utilisation of AI-driven clinical decision support systems provides medical personnel with immediate access to valuable information and evidence-based suggestions, thereby improving patient outcomes and ensuring safety. Moreover, in fields like medical imaging, AI systems demonstrate exceptional proficiency in identifying abnormalities and aiding radiologists in the process of interpreting data.
Smart Solutions for Health
Authors: Kaur Jaspreet
Published: April 2024

This study investigates the impact of computational intelligence on the healthcare sector within the context of the Industry 4.0 paradigm. Healthcare providers can improve patient care, operational efficiency, and cost-effectiveness by utilizing technology such as machine learning and artificial intelligence. This study also examines several applications, including disease detection, tailored treatment planning, predictive modeling, and healthcare resource management. Valuable insights are derived from medical data through the utilization of big data analysis and advanced algorithms, resulting in enhanced diagnosis, optimal therapies, and preventive interventions. Smart healthcare systems provide the continuous monitoring of patients, the timely identification of potential risks, and the provision of tailored care.
Big Data Analytics in Bioinformatics and Healthcare
Authors: Verma Raj Kishor , Kishor Kaushal , Jha Sonu Kumar
Published: April 2024

Big data analytics in medicine and healthcare integrates various fields including bioinformatics, medical imaging, sensor informatics, medical informatics, health informatics, and computational biomedicine through the integration and analysis of vast amounts of biomedical, electronic health records, and social media data. In the field of medicine and healthcare, big data analytics makes it possible to analyse enormous datasets including information from thousands of patients, find patterns and correlations within the data, and create prediction models by applying data mining techniques.
Image Filtering Using Anisotropic Diffusion for Brain Tumor Detection
Authors: Hiremath Shilpa , Rani A. Shobha
Published: April 2024

Brain tumor analysis is a critical aspect of medical applications, offering valuable structural and functional insights crucial for disease diagnosis. Early detection of tumors significantly enhances treatment outcomes and patient survival rates. However, the manual segmentation of numerous magnetic resonance images poses challenges due to the increased risk of human error. Therefore, there is a pressing need for computer-aided detection systems to ensure higher accuracy and faster tumor identification. In our work, we propose computer-aided techniques utilizing anisotropic diffusion filtering, Otsu threshold segmentation, and morphological procedures for noise reduction, segmentation, and tumor area detection in MR images. Our approach aims to streamline the process of tumor identification by automating key steps through advanced image processing methods. Notably, simulation results highlight the superiority of anisotropic diffusion and Otsu thresholding over other filtering and segmentation combinations, underscoring their effectiveness in enhancing tumor detection accuracy.
Classical Clustering Technique for Segmentation of Skin Cancer Image
Authors: V. Saravana Kumar , M. Kavitha , S. Anantha SivaPrakasam , S. Bavya
Published: April 2024

Melanoma, one of the most fatal skin cancers worldwide and responsible for over 40% of deaths each year, can be identified and treated early with greater success through early diagnosis and treatment methods such as detection. Melanoma can be diagnosed by its appearance, size and presence of wounds; in its initial stages. In this article we demonstrate how traditional clustering technique K-Means Means applies to this skin melanoma smear image by distinguishing this stunning infiltrating image from similar ones via clustered pixels within images and time complexity metrics K-Means Means applies this particular melanoma image from similar ones based on clustering pixels within images as well as time complexity metrics based on clustered pixels within images as time complexity metrics based on clustered pixels inside images and time complexity metrics used in its identification process.
Prostate Cancer Classification Using Deep Learning Models
Authors: Narasimhan Sivasankari , Anand Dinesh , Kumar Siva
Published: April 2024

A frequent cancer in male community is Prostate cancer. If it is identified in early stages, then it will be curable. This cancer is diffusing all over the world including France, USA, Swedon and Ireland etc. More than 25,400 males are affected by this cancer. This gland looks like walnut. Most of the times it grows slowly in many men, unfortunately it grows exponentially in some people. It creates blood during urination and in semen. Early-stage identification needs close analysis and complete diagnosis with medications. For this purpose, many deep learning methods are suggested. In this paper, convolution layer based deep learning model has been used. Out of this, Visual Geometry Group-16 (VGG-16) model yields accuracy of 97.74% and mobile net model gives accuracy of 86.24%. This work suggests that all the cancers can be treated with the kit of deep learning models assisted software.
Development of Online and Offline Mixed Teaching Materials for Higher Vocational Education Under the Background of Internet
Authors: Shen Jianfei
Published: April 2024

With the vigorous development of the Internet, higher vocational education is welcoming a new era of online and offline mixed teaching. Based on the deficiency of traditional teaching materials, this paper analyzes the present situation of higher vocational education under the Internet and the advantages of blended teaching. In order to realize the development of blended teaching materials in higher vocational colleges, this paper puts forward a concise and effective process, and taking Accounting as an example, probes into the influence of blended teaching materials on students' grades. The results show that the blended teaching materials improve the interactivity, stimulate students' interest in autonomous learning and effectively promote their learning enthusiasm. This not only improves the quality of higher vocational education, meets the social demand for skilled talents, but also cultivates students' teamwork and autonomous learning ability. These research results provide theoretical support for the development of hybrid higher vocational teaching materials in the Internet era.
RGBD Synergetic Model for Image Enhancement in Animation Advertisements
Authors: Wang Xuechun , Jiang Wei
Published: April 2024

This paper proposes a depth image symbiosis model to solve the problem of insufficient depth image quality in animated advertising. The model uses image surface information and image edge cues as the main guidance information to obtain image symbiosis information. Research data show that the model designed in this paper performs well in convergence, and enters a stable convergence process when the number of iterations is less than 5. Its PSNR data curve has the highest position and best performance, while a composite model structure has been adopted. Compared with the unitary model, the PSNR of this model reaches 41 dB when the number of iterations reaches 5, and the convergence effect of the three-step training is also better. Finally, in practical applications, the average PSNR value of the model mentioned in this article is the highest, 37.1 dB. From this comprehensive perspective, the depth image enhancement model in this study has better comprehensive performance and can provide better image enhancement effects for animation advertising depth images.
Hotel Rating Prediction System Based on Time Factors
Authors: Lee Pei-Hua , Sun Yu-Kai , Ke Yin-Pei , Lee Pei-Ju
Published: April 2024

While the internet provides abundant information, it often leads to information overload of users when purchasing goods. Tripadvisor.com, despite having a date sorting function, struggles to effectively filter relevant comments to users and neglects that consumer preferences may change over time. Therefore, this study aims to develop a website with visual charts showing changes in sentiment over time in reviews. The goal is to determine if this website improves user efficiency compared to the original website, reducing search time and aiding decision-making. The chart generation process involves four stages: collecting and preprocessing comments, constructing a hotel feature dictionary, classifying sentences and computing sentiment scores, and embedding charts on the website. 36 Tripadvisor.com users participate in experiments to evaluate the impact of old and new interfaces on answer quantity and search time. The NASA.tlx scale is used to assess the mental load experienced with both interfaces.
Analyzing the Impact on Talent Acquisition and Performance Management
Authors: Wenting Li , Hussain Wan Mohd Hirwani Wan , Xinlin Jia , Na Meng , Alam Syed Shah
Published: April 2024

The aim of this research is to explore the mediating and moderating effects of various HR functions and regulatory environments on the relationship between AI integration and data-driven decision making in HRM. The study was conducted in a corporate sector in Malaysia, focusing on businesses actively integrating AI into their HRM functions. A total of 376 individuals successfully submitted the questionnaire, representing an 83.5% response rate. The direct and indirect effects of Workforce Planning (WP), Learning and Development (LD), Employee Engagement and Retention (EER), Performance Management (PM), Talent Acquisition (TA), and Data-Driven Decision Making (DDM) were examined through the partial least squares structural equation modeling approach (PLS-SEM). The results demonstrate that AI-enriched HR functions, including workforce planning, learning and development, employee engagement & retention, performance management, and talent acquisition, play a critical role in driving DDM.
The FTIR Test and Behavior Mechanical Concrete with Pozzolan Substitution
Authors: Yusra Andi , Husin Husni , Samsunan Samsunan , Hasan Muttaqin , Aulia Teuku Budi , Fachruddin Fachruddin , Tripoli Bambang
Published: April 2024

Pozzolan is a material that increases the strength of concrete. The pozzolan used in this study is mussel shell powder. The purpose of this study was to find out how MSP substitution affects concrete strength. Mussel shell powder (MSP) contains important levels of calcium oxide and silicon oxide (SiO2) and used as an alternative to Portland cement (PC) to reduce the amount of PC needed to make concrete will perform. The concrete designed according to the Standard Indonesian Method (SNI) and the slump should be between 75mm and 100mm. As a prototype, he built a concrete cylinder measuring 15 cm x 30 cm. The percentage changes when replacing PC with MSP were 0%, 2%, 4%, 6%, and 8%, respectively, with 0% substitute used as the control mixture. The samples evaluated for compressive and tensile strength after 7 and 28 days, respectively. As a result, in terms of compressive strength, the best replacement level for 28-day-old concrete is 6%, with a strength value of 32.46MPa. This resulted in a 21.98% increase in force compared to control. In contrast, replacing 2% PC with MSP achieved the highest shear strength after 28 days, with a strength value of about 2.584MPa, 10.48% higher than witnessed. The two samples all have slightly different chemical group bonds O-H, CH2, and C-H. The absorption range of the chemical bond of alkene is 1638.21cm-1, and group functional C=O of shell concrete of 1638.21cm-1. The group functional of C=O in the sample, but there is no functional group C in the shell.
Generation of an Inhibitory NK Cell Subset by TGF-β1/IL-15 Polarization
Authors: Chung Douglas C , Garcia-Batres Carlos R , Millar Douglas G , Wong Stephanie W Y , Elford Alisha R , Mathews Jessica A , Wang Ben X , Nguyen Linh T , Shaw Patricia A , Clarke Blaise A , Bernardini Marcus Q , Sacher Adrian G , Crome Sarah Q , Ohashi Pamela S
Published: April 2024

NK cells have been shown to exhibit inflammatory and immunoregulatory functions in a variety of healthy and diseased settings. In the context of chronic viral infection and cancer, distinct NK cell populations that inhibit adaptive immune responses have been observed. To understand how these cells arise and further characterize their immunosuppressive role, we examined in vitro conditions that could polarize human NK cells into an inhibitory subset. TGF-β1 has been shown to induce regulatory T cells in vitro and in vivo; we therefore investigated if TGF-β1 could also induce immunosuppressive NK-like cells. First, we found that TGF-β1/IL-15, but not IL-15 alone, induced CD103+CD49a+ NK-like cells from peripheral blood NK cells, which expressed markers previously associated with inhibitory CD56+ innate lymphoid cells, including high expression of GITR and CD101. Moreover, supernatant from ascites collected from patients with ovarian carcinoma also induced CD103+CD49a+ NK-like cells in vitro in a TGF-β–dependent manner. Interestingly, TGF-β1/IL-15–induced CD103+CD56+ NK-like cells suppressed autologous CD4+ T cells in vitro by reducing absolute number, proliferation, and expression of activation marker CD25. Collectively, these findings provide new insight into how NK cells may acquire an inhibitory phenotype in TGF-β1–rich environments.
Renal implications of pneumoperitoneum in laparoscopic surgery: mechanisms, risk factors, and preventive strategies
Authors: Villa Gianluca , Fiorentino Marco , Cappellini Eleonora , Lassola Sergio , De Rosa Silvia
Published: April 2024

Pneumoperitoneum, which is established for laparoscopic surgery, has systemic implications on the renal system and may contribute to acute kidney injury or postoperative renal dysfunction. Specifically, when the pressure exceeds 10 mmHg, pneumoperitoneum decreases renal blood flow, leading to renal dysfunction and temporary oliguria. The renal effects of pneumoperitoneum stem from both the direct effects of increased intra-abdominal pressure and indirect factors such as carbon dioxide absorption, neuroendocrine influences, and tissue damage resulting from oxidative stress. While pneumoperitoneum can exacerbate renal dysfunction in patients with pre-existing kidney issues, preserving the function of the remaining kidney is crucial in certain procedures such as laparoscopic live donor nephrectomy. However, available evidence on the effects of pneumoperitoneum on renal function is limited and of moderate quality. This review focuses on exploring the pathophysiological hypotheses underlying kidney damage, mechanisms leading to oliguria and kidney damage, and fluid management strategies for surgical patients during pneumoperitoneum.
Industrialization in South Africa: A historiographical debate?
Authors: Verhoef Grietjie
Published: April 2024

Industrialisasie as 'n ekonomiese verskynsel het min aandag van historici ontvang. Die meeste publikasies van historici handel oar die sosiale en politieke implikasies van die verskynsel. Hierdie artikel ontleed die werk van ekonomiese historici in die eerste plek, dan die werk van ekonome en daarna revisionistiese historici. Daar is groot ooreenstemming oor die koste van aanvanklike industriële proteksionisme, asook die aanvanklike nut daarvan ten einde ekonomiese groei te stimuleer. Ekonome het indringend gedebateer oor die owerheid se desentralisasieprogram en veral die politieke rasionaal daaragter bevraagteken. Die revisionistiese publikasies oor industrialisasie handel hoofsaaklik oor die idee dat politieke beleidsrigtings geïmplimenteer is om kapitalistiese ekonomiese ontwikkeling te verseker. Die skrywer beweer dat min werklike debat tussen die eerste groepe skrywers oor industrialisasie en laasgenoemde revisionistiese historici plaasvind.
Death, Beauty and Existence
Authors: Porada Ingo
Published: April 2024

No abstract available.
Connecting the Dots: Exploring the Relationship between Optical Coherence Tomography and 99mTc-TRODAT-1 SPECT Parameters in Parkinson’s Disease
Authors: Manchanda Rajat , Samanta Ramanuj , Narayan Manishi L. , Kumar Mritunjai , Tiwari Ashutosh , Agarwal Ajai , Bahurupi Yogesh , Kumari Sweety , Kumar Niraj
Published: April 2024

Background and Objective:

While optical coherence tomography (OCT) is explored as a potential biomarker in Parkinson’s disease (PD), technetium-99m-labeled tropane derivative (99mTc-TRODAT-1) single-photon emission computed tomography (SPECT) imaging has a proven role in diagnosing PD. Our objective was to compare the OCT parameters in PD patients and healthy controls (HCs) and correlate them with 99mTc-TRODAT-1 parameters in PD patients.

Materials and Methods:

This cross-sectional study included 30 PD patients and 30 age- and gender-matched HCs. Demographic data, PD details including Movement Disorders Society Unified Parkinson’s Disease Rating Scale-III (MDS-UPDRS-III) and Hoehn–Yahr (HY) staging, and OCT parameters including macular and peripapillary retinal nerve fiber layer (RNFL) thickness in bilateral eyes were recorded. PD patients underwent 99mTc-TRODAT-1 SPECT imaging. The terms “ipsilateral” and “contralateral” were used with reference to more severely affected body side in PD patients and compared with corresponding sides in HCs.

Results:

PD patients showed significant ipsilateral superior parafoveal quadrant (mean ± standard deviation [SD] = 311.10 ± 15.90 vs. 297.57 ± 26.55, P = 0.02) and contralateral average perifoveal (mean ± SD = 278.75 ± 18.97 vs. 269.08 ± 16.91, P = 0.04) thinning compared to HCs. Peripapillary RNFL parameters were comparable between PD patients and HCs. MDS-UPDRS-III score and HY stage were inversely correlated to both ipsilateral (Spearman rho = -0.52, P = 0.003; Spearman rho = -0.47, P = 0.008) and contralateral (Spearman rho = -0.53, P = 0.002; Spearman rho = -0.58, P < 0.001) macular volumes, respectively. PD duration was inversely correlated with ipsilateral temporal parafoveal thickness (ρ = -0.41, P = 0.02). No correlation was observed between OCT and 99mTc-TRODAT-1 SPECT parameters in PD patients.

Conclusion:

Compared to HCs, a significant thinning was observed in the ipsilateral superior parafoveal quadrant and the contralateral average perifoveal region in PD patients. Macular volume and ipsilateral temporal parafoveal thickness were inversely correlated with disease severity and duration, respectively. OCT and 99mTc-TRODAT-1 SPECT parameters failed to correlate in PD patients.
Similarities and Differences in Functional Movement Disorders and Functional Seizures at a Tertiary Care Center: A Prospective Study
Authors: Mishra Anumeha , Pandey Sanjay
Published: April 2024

Background:

Functional movement disorders (FMDs) and functional seizure (FS) are the two most important subcategories of functional neurologic disorders (FNDs).

Objectives:

This study aimed to discern similarities and differences between patients with FMD and FS.

Methods:

A prospective comparative study of 94 patients with FNDs (FMD = 47, FS = 47) was conducted.

Results:

Tremor and pauci-kinetic attack with preserved responsiveness were the most common subtypes observed in patients with FMD and FS, respectively. A significantly higher number of patients with FMD had more than one precipitating factor (P = 0.03). Headache was significantly more common in patients with FS (P = 0.03). More patients came for follow-up in the FMD group (P = 0.01). More patients in the FS group reported “very much improvement” (P = 0.04), and “no change” was more commonly reported by the FMD group patients (P = 0.009).

Conclusion:

Emotional stress was the most common precipitating factor in patients with FMD and FS. The prognosis was better in patients with FS.