bluuebunny/crossref_metadata_2025 huggingface dataset:
Inclusive Pedagogy: Systematic Review on Exploring Stakeholder Engagement in Multigrade Classroom Teaching
Authors: Dontogan Terrilyn Gibson , Lunio-Toctocan Clair T. , Ricardo KC Roselyn D. , Saldo Maritis L.
Published: April 2024

Multigrade education, characterized by the instruction of students from different grade levels in the same classroom, has garnered significant attention in educational research due to its prevalence in diverse global contexts. This comprehensive literature review offers a nuanced exploration of multigrade education, synthesizing empirical research, theoretical frameworks, and practical insights to provide a holistic understanding of its complexities and implications. The review begins by delineating the global landscape of multigrade classrooms, examining their prevalence, significance, and diverse manifestations across various regions and socio-economic contexts. It delves into the positive aspects of multigrade education, such as fostering collaborative learning environments, maximizing resource utilization, and addressing educational inequalities, while also addressing the negative effects of inadequate support, including teacher burnout and limited access to resources. Central to the literature review is the examination of stakeholder engagement in multigrade education, with a focus on the roles of educators, policymakers, parents, and communities in supporting effective teaching and learning practices. Through an interdisciplinary lens, the review analyzes strategies to maximize stakeholder support, including investments in professional development for teachers, equitable allocation of resources, community involvement, and policy advocacy. Furthermore, it explores culturally-appropriate interventions and collaborative teaching practices to address the unique challenges faced by multigrade educators and students across diverse cultural landscapes and socio-economic environments. By offering actionable recommendations grounded in empirical evidence and best practices, the literature review aims to inform policy, practice, and future research directions in multigrade education, ultimately advocating for inclusive learning environments where every student can thrive and succeed, irrespective of their grade level or school size.
Using Lithium-6 Filter for Study of Dose Distribution with Max. and Min. Displacement of Prostate Inside the Body by BNCT Method
Authors: Khavari Rajab Ali , Mirzaee Dawod
Published: April 2024

Physical dose assessment of prostate tumor and adjacent healthy tissues in ORNL, adult male (AM) and KTMAN-2 phantoms was performed using the Monte Carlo transport code. Two different spectra of MIT reactor (without and with lithium filter) were considered. To evaluate the effectiveness of this method in destroying cancer cells for different depths of the prostate, the prostates were moved three times with a distance of 3 cm towards the surface of the body. In addition, the effects of using a lithium filter with different thicknesses on the physical doses of the prostate and adjacent healthy tissues were investigated. It has been observed that decreasing the depth of the prostate increases the physical dose received by the tumor. When the prostate is placed at the maximum depth inside the body, the tissues located in the path of the beam receive the maximum amount of dose. However, the use of a lithium filter reduces damage to healthy tissues, so that when the prostate is near the surface of the body, the lithium filter increases the amount of dose delivered to tumors. In these conditions, the average energy of the penetration distance of epithermal neutrons and neutrons in tissues increases. By changing the location of the prostate gland inside the body, the physical doses of normal tissues did not change, but it was observed that increasing the thickness of the lithium filter significantly reduced the dose of normal tissues.
Construing “Har”: Blake’s Polyglot Roots
Authors: Alexander S. Gourlay
Published: April 2024

Of those commentators who try to explain the name of the senescent patriarch Har in Blake’s early (unpublished) illustrated poem Tiriel (late 1780s), most offer that “har” is the Hebrew word for “mountain,” as Blake could have learned from any number of etymological discussions of such familiar biblical names as “Ararat” or “Armageddon.” Some scholars note that Har is also the name of an ambiguously identified frame character in Snorri Sturlusun’s prose Edda, which Blake knew through Paul Henri Mallet’s Northern Antiquities, but even these emphasize “mountain” in construing the name, perhaps because there does not seem to be much connection between Blake’s character and his Scandinavian namesake. In Tiriel Har presides feebly (an aged Adam with his equally feeble consort Heva) over a paradise that resembles a pickled Garden of Eden, and his territory is bordered by the “mountains of Har” (E 284), but he is much more closely associated with the garden than the mountains.
How Changing Majors Impacts Academic Performance among Undergraduate Students
Authors: Xu Min , Silva Chandra R. de
Published: April 2024

This study investigates changing majors among undergraduate students. Through retrospectively tracking five graduating classes at a regional research university, the study provides empirical evidence as to when students declare their major, reach their final decisions about a major, and explores when it would be too late to change a major in order to graduate in a timely fashion. The study also examines the relationship between changing majors and academic performance. The results which suggest the need to provide students, especially freshmen with early proactive assistance in major selection might address concerns of parents and students about choosing a college major and inform academic advisers as they design programs to help students explore and decide on majors while improving timely graduation.
Conflict Management in Nigeria Public University: Strategies and Effect
Authors: ALAMU Oluwaseyi Isaiah , AJAYI Victoria Damilola
Published: April 2024

This study was conducted out to examine the effect of conflict and the strategies employed by the leadership to manage it in Ekiti State University, Ado Ekiti, Ekiti state, Nigeria. These were with the view to providing information on the challenges of conflicts and its management in tertiary institutions. Primary and secondary data were used to evaluate the effects of conflict in line with the strategies employed to mitigate it. The primary data were collected through the administration of copies of the questionnaire, while Secondary data were obtained through textbooks, journals, internet documents and official publications. The sum of one hundred and eighty-six (186) copies of the questionnaire were randomly distributed to the respondents. The data collected from the questionnaire were analyzed descriptively using frequency distribution and standard deviation. This study revealed that delay in graduation of students, wastage of time on management staff and students as well as loss of trust by the staff on the institution management late payment of remunerations are the major effects of conflicts in the institution. Furthermore, major strategies employed by the management were collective bargaining and allocation of resources. The study concluded that the strategies employed by the management Ekiti State University had not adequately met its goal.
La influencia de la inteligencia artificial en la transformación educativa
Authors: Zegarra Alvarado Noribal Jorge
Published: April 2024

Editorial
Nuevas tecnologías de tratamiento dúplex para la mejora de la adherencia de recubrimientos DLC sobre acero inoxidable austenítico
Authors:   , Gómez Alonso Íñigo
Published: April 2024

AISI 316L austenitic stainless steel has become pivotal in both industrial and biomedical applications due to its outstanding corrosion resistance and durability in harsh environments. The composition of this steel, which comprises chromium, nickel, and molybdenum, provides exceptional chemical stability and toughness, making it the leading choice for challenging scenarios. Innovative techniques have been investigated to further improve the capabilities of DLC coating on a versatile material. Among them, the high-power pulsed magnetron sputtering (HiPIMS) method, utilizing positive pulses on AISI 316L austenitic stainless steel, has shown great potential in enhancing the surface properties of the material. Positive pulse HiPIMS coatings provide significant benefits over traditional methods, particularly in their capacity to produce thin layers with high ionic current density and greater impact energy. Consequently, these coatings exhibit enhanced adhesion and a dense coating structure, yielding superior mechanical and tribological properties. To optimize stainless steels wear resistance and properties, the plasma immersion ion implantation (PIII) technique has been adopted. This approach facilitates the development of gradients of hardness on the surface of the substrate, thereby enhancing the material's resistance against abrasive forces and culminating in prolonged durability under frictional conditions. The utilization of shielded plasma nitriding (ASPN) results in substantial enhancement of the DLC coating's adhesion. This method enables the creation of a nitrided layer at the interface between the coating and substrate, which enhances their bond and offers extra protection against early separation. Including substrates produced by additive manufacturing techniques introduces a fresh approach to enhancing the properties of stainless steel. Despite a slight decrease in certain properties when compared to previous treatments, the implementation of duplex treatments with shielded plasma nitriding has been found to be particularly advantageous in this specific context. Ultimately, the primary contribution made by this thesis around duplex treatments focuses on the utilization of DLC WC:C coating techniques via positive pulse HiPIMS, and the introduction of hardness gradients through PIII and ASPN processes. The study conducted the techniques on substrates made via additive manufacturing technologies. Its aim was to enhance the mechanical and tribological characteristics of DLC coatings, thereby significantly improving the surface properties of AISI 316L austenitic stainless steel. This approach strengthens the adhesion of the coatings and offers new perspectives for industrial and biomedical applications.
Global Education Development Plan to Build Sustainable Education Based on Artificial Intelligence
Authors: Marisa Siti , Gunawan Gunawan , Susilawati Evi
Published: April 2024

Global education is an important aspect in preparing a generation ready to face the challenges of the future. In an effort to develop sustainable education, the use of artificial intelligence is one of the interesting potentials to consider. The research aims to explain the design of global education development aimed at developing AI-based sustainable education through library studies. The study uses a library study method by collecting, analysing, and synthesizing research, scientific articles, reports, and other relevant literary sources. The research focuses on three important aspects in the design of AI-based global sustainable education development, namely, learning personalization, adaptive curriculum development, and student progress assessment and monitoring. The library study results show that the use of AI in education can enable more effective learning personalization. With AI, learning materials can be tailored to individual student needs and preferences, enhancing their engagement and understanding. Furthermore, AI-supported adaptative curricular development allows learning experiences that are adapted to student development and capabilities. Student progress evaluation and surveillance can also be enhanced through the application of AI. This technology can provide more objective and comprehensive assessment of student progress, helping teachers to provide more timely feedback and support better decision-making in learning planning. While the potential for the use of AI in sustainable global education is promising, there are challenges and consequences to bear in mind. Ethical aspects, student data privacy, and fairness in access and use of AI technology should be key concerns in designing sustainable global education development. The study provides insight into the design of AI-based sustainable global education development through library studies. These findings could provide a basis for further research and provide practical guidance to stakeholders in adopting and implementing AI technologies responsibly to develop sustainable education at a global level.
The Importance of Red Team Exercises in VAPT for Proactive Cybersecurity
Authors: Vaishnavi S  , Ananya S  , Akilesh M S
Published: April 2024

This research paper explores the integration of Red Team Exercises into Vulnerability Assessment and Penetration Testing (VAPT) as a proactive cybersecurity measure. Red Team Exercises, simulating cyber-attacks, play a crucial role in identifying vulnerabilities and testing incident response capabilities. Proactive cybersecurity is emphasized for anticipating and preventing breaches, reducing cyber risks, and showcasing the value of preemptive measures. The benefits of incorporating Red Team Exercises into VAPT include uncovering hidden vulnerabilities, realistic cyber-attack simulations, and enhanced incident response capabilities. Challenges such as resource requirements and potential operational impacts are addressed. Case studies featuring Microsoft and Google illustrate successful implementations, while lessons from incidents like the Equifax data breach underscore practical applications. Best practices, integration guidelines, and considerations for future trends in cybersecurity provide a comprehensive guide for organizations seeking to fortify their defences against evolving cyber threats
Awareness about the Agriculture Needs through Interactive Web Application for Farmers
Authors: Mr. G. Rajaraman  , R. Ragul Kulothungan  , S. Sarukesh  , K. Varun
Published: April 2024

Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment etc. Some smallholders Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment etc. Some smallholders and marginalized farmers have low awareness as most of them live in remote areas and don't have access to information about soil properties, seeds, recently used tools, fertilizers, etc. The document proposes an intelligent, portable system that uses natural language processing Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment etc. Some smallholders and marginalized farmers have low awareness as most of them live in remote areas and don't have access to information about soil properties, seeds, recently used tools, fertilizers, etc. The document proposes an intelligent, portable system that uses natural language processing methods to help farmers use differentfarming methods, and further help them to answer their queries and solve their basic and intermediate level doubts using chatbot which will save their time. To meet all the requirements of farmers, a chatbot is proposed using natural language processing technology. The system will act as an interactive virtual assistant for farmers, answering all queries related to agriculture. This paper will go through the implementation of the chatbot using the chatterweb bot libraries and Django framework
Ecommerce Site for Artisans with AI Assistance
Authors: Mrs. J. B. Pradeepa  , Balaji S K  , Durai Lakshmanan B  , Praveen Kumaran B
Published: April 2024

India, a country of great cultural heritage and India’s cultural diversity in the form of art and craft products provides plenty of opportunities to the local artists. In today's world, most people are using technology for leading their lives and fulfilling their daily needs. In this generation most of us are using E-commerce websites for shopping clothes, groceries, and electronics. We will be developing one E commerce web application by using MERN stack technology. This application will be fully functional with different views for user and admin and it will also be integrated with payment gateway for checkout. Epicraft website aims to help creative entrepreneurs of handloom and handicraft sector
Keystroke Logging for Activity-Monitoring using Python
Authors: Himanshu  , Sachin Kaushik  , Pankaj Kumar  , Vimmi Malhotra
Published: April 2024

Cyberwarfare is observed very frequently as always some or the other country is targeting to ruin its enemy country by hacking confidential data from vital computer systems. This has led to dangerous international conflicts. Hence, to avoid illicit entry of other than military person or a government official several tools are being used today as spyware. Keyloggers are one of the prominent tools which are used in today’s world to obtain secret or confidential data of a legitimate and contradictory a malicious user too. These keyloggers are advantageous and taken up positively for monitoring employee productivity, for law
enforcement and the search for evidence of the crime. While it’s negative illegitimate use includes data theft and passwords. The keylogger is today witnessed as a malicious attack and is looked upon as a security threat. But every coin has two sides. Keylogger actually helps in avoiding several security breaches and also aids in detecting several crimes across the net world followed by other fellow countries. This fact has motivated to write this paper and as a consequence, an experimental analysis too was carried out in order to conclude that keyloggers’ log file helps identify the person by analyzing proper pattern of the words entered in the file. This paper focuses majorly on the aspect of natural language processing, where a log file obtained thru keylogger software is thoroughly processed via the algorithm as described in the paper. The results yielded a fair understanding of the results obtained as one can easily identify the words used and on the basis of that can also know the type of person on the other end with his ideas, malicious one or of a legal kind
Awareness about the Agriculture Needs through Interactive Web Application for Farmers
Authors: Mr. G. Rajaraman  , R. Ragul Kulothungan  , S. Sarukesh  , K. Varun
Published: April 2024

Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment, etc. Some smallholders Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment, etc. Some smallholders and marginalized farmers have low awareness as most of them live in remote areas and don't have access to information about soil properties, seeds, recently used tools, fertilizers, etc. The document proposes an intelligent, portable system that uses natural language processing Agriculture occupies an important position in the Indian economy. Indian farmers today are facing the problem of low income due to the lack of information about government schemes, fertilizers, farming equipment etc. Some smallholders and marginalized farmers have low awareness as most of them live in remote areas and don't have access to information about soil properties, seeds, recently used tools, fertilizers, etc. The document proposes an intelligent, portable system that uses natural language processing methods to help farmers use different farming methods, and further help them to answer their queries and solve their basic and intermediate-level doubts using a chatbot which will save their time. To meet all the requirements of farmers, a chatbot is proposed using natural language processing technology. The system will act as an interactive virtual assistant for farmers, answering all queries related to agriculture. This paper will go through the implementation of the chatbot using the chatterweb bot libraries and the Django framework
A Study on Economic Growth of India: A Focus on the FMCG Sector
Authors: Dr. Sheetal Nafde
Published: April 2024

The Fast-Moving Consumer Goods (FMCG) sector, holding the rank of the fourth-largest segment in India's economy, exerts considerable influence on both the nation's Gross Domestic Product (GDP) and employment landscape. It serves as a key driver of job opportunities across various stages of its supply chain, spanning manufacturing, distribution, retail, and marketing.
This paper presents an analysis of the FMCG sector's growth in India, fuelled by consumer-driven expansion and escalated prices, particularly in essential commodities. As of December 2022, the FMCG market has achieved a noteworthy value of US$ 56.8 billion. Forecasts indicate a robust upward trajectory, with total revenue projected to soar at a Compound Annual Growth Rate (CAGR) of 27.9% from 2021 to 2027, reaching an estimated US$ 615.87 billion. In 2022, the urban segment accounted for 65% of the sector's contributions, while rural areas comprised over 35% of the overall annual FMCG sales. Factors such as favourable harvests and government spending are expected to be instrumental in revitalizing rural demand in the fiscal year 2024. Overall the Fast-Moving Consumer Goods (FMCG) industry emerges as a dynamic and essential component of the global economy, making substantial contributions to both revenue generation and employment creation.
Review of the Impacts of Previous General Elections on Stock Market Performance: Insights for Investors
Authors: Dr. Sheetal Nafde  , Mr. Sameer Padole
Published: April 2024

This paper aims to examine how the announcement of election results affects the NSE (Nifty) and BSE (Sensex) indices. The analysis focuses on measuring the impact of daily average returns and volatility during different time periods before and after the election result announcement: thirty days, fifteen days, and seven days. The paper is based on secondary data as opinions and views of different authors who have conducted such kind of studies are referred for the purpose of writing this research paper and consolidated views are mugged up in the article form. The findings indicate that the impact of election results is predominantly observed in the short term, gradually diminishing over the medium and long term.
The study concludes that there is no significant relationship between the announcement of election results and the performance of the stock market. It suggests that the stock market initially reacts unusually to this information, causing short-term anomalies that subsequently correct themselves in the following days.
This study aims to analyse the effect of election result announcements on the performance of India's major stock indexes, Sensex (BSE) and Nifty (NSE). By examining previous research and focusing specifically on the election result's impact on these indexes, this study aims to provide insights for investors to navigate the market with agility and caution during election periods, maximizing their investment outcomes..
Chatbot for Mental Health Treatment using Face Detection
Authors: Dr. K. Velmurugan  , K. Vijay  , B. S. Vishnuvardhan  , S. Bharath Raj
Published: April 2024

The advent of chatbots may influence many treatment procedures in the medical and psychological fields. In particular, chatbots may be useful in many situations before and after medical procedures when patients are back at home. For example, while being in the preparation phase of a colonoscopy, a chatbot might answer patient questions more quickly than a doctor. Moreover, it is more and more discussed whether chatbots may be the first entry point for (urgent) medical questions instead of the consultation of a medical expert, as there exist already well-established algorithms for some of these situations. For example, if a new medical symptom occurs, a chatbot might serve as the first “expert” to relieve a patient’s condition. Note that the latter situation to use chatbots is mainly driven by the trend that patients often have to wait too long for appointments with a proper medical expert due to capacity problems of many healthcare systems. While the usage of supporting “at home actions” of patients with chatbot technologies is typically welcomed by medical experts, the use of this technology to “replace” them in their core competence, namely diagnosis and therapy, is generally seen highly critical. Apart from the domain side, it must be carefully considered what currently available chatbot technologies can do or cannot do. Moreover, it has also to be considered, how existing technologies can be established in highly critical medical and interdisciplinary fields with possible emergency situations (e.g., if a chatbot gets the message of a patient that indicates to commit suicide), involving ethical questions as well as questions of responsibility and accountability. Therefore, this work raises aspects that might be the basis for medical as well as technical experts to better work together for proper chatbot solutions. Thereby, the work at hand proposes an architecture that should serve as a reference for various medical and psychological scenarios. When using suitable technical solutions, we argue that chances emerge, which mitigate upcoming challenges significantly.
Forest Fire Detector using Lora Module
Authors: Shivam Chavan  , Aman Kondvilkar  , Prathamesh Tatkar  , Prajakta Wankhede
Published: April 2024

This paper shows the design and execution of an innovative system, titled as "Forest-fire Detector using LORA Module," aimed to reduce wildfire
Social Engineering Attacks and Counter Measures: A Comprehensive Analysis
Authors: Milan Kumar Mishra  , Kunal Desh Pandey
Published: April 2024

Social engineering attacks represent a significant threat to individuals, organizations, and society at large. This research paper provides a comprehensive analysis of social engineering attacks, their methodologies, impacts, and countermeasures. By examining various case studies and real-world examples, this paper aims to enhance understanding of social engineering techniques and equip readers with effective strategies to mitigate such threats. Additionally, emerging trends and future directions in social engineering defense mechanisms are explored to anticipate and address evolving challenges
Introduction to Statistical Data Analysis
Authors: Diksha Bhola  , Rachit Yadav  , Vimmi Malhotra
Published: April 2024

This research paper provides comprehensive exposure to statistical analysis, elucidating its foundational concepts, modalities, and techniques. Beginning with the discussion on the importance of statistical analysis in making decisions and conclusions, the paper delves into the analysis measures which are Descriptive Analysis and Inferential Analysis. Furthermore, it includes how the data is graphically represented. Through this exposition, readers will gain a solid foundation of statistical data analysis..
The Effects of Medical Clowning on the Quality of Life (QoL)on the Patients in on Co-Pediatric Daycare Wards
Authors: Ayushi Negi  , Dr. Annie Khanam
Published: April 2024

This study investigate the effects of Medical Clowning on the quality of life (QoL)on the patients in onco-pediatric daycare wards. A total of 35 participants aged 8-15 years were recruited from an onco-pediatric ward. Validated tools, including the Pediatric Quality of Life Inventory (PedsQL) and thematic coding, were utilized to assess QOL respectively. Statistical analysis, including frequency distribution for quantitatively analyzing the scores of quality of life and further using thematic coding to form respective codes done conducting semi structured interviews on the patients and their guardians were employed to analyze the data. The findings revealed significant improvements in the pediatric quality of life following medical clowning therapy. The frequency distribution for scoring quantitative data for quality of life, thematic coding for qualitatively analysis and forming 8 different themes, to assess the effectiveness of medical clowning therapy was used. The findings indicated a significant positive impact of medical clowning on improving pediatric quality of life. These results highlight the therapeutic benefits of medical clowning interventions in pediatric oncology care, emphasizing their role in enhancing patient well-being and promoting a supportive treatment environment. Furthermore, the findings underscore the importance of interdisciplinary collaboration and policy support in integrating medical clowning into comprehensive pediatric oncology care protocols. Overall, this study contributes valuable insights into the effectiveness of medical clowning as a psychosocial intervention in pediatric oncology settings, providing evidence to support its integration into standard care protocols. Moving forward, further research is needed to explore the long-term effects of medical clowning interventions and optimize their implementation in clinical practice.
DevOps in the Cloud: Streamlining Software Delivery and Deployment
Authors: Abhishek Chauhan
Published: April 2024

The integration of DevOps practices with cloud technologies has revolutionized software delivery and deployment processes, empowering organizations to achieve greater agility, efficiency, and innovation. DevOps fosters collaboration and automation between development and operations teams, accelerating the pace of software delivery while maintaining high standards of quality. Cloud infrastructure offers scalability and flexibility, enabling businesses to provision and scale infrastructure dynamically to meet fluctuating demand. Cloud-native monitoring tools provide real-time insights into application performance, facilitating proactive issue identification and resolution. In conclusion, the integration of DevOps practices with cloud technologies offers a powerful framework for businesses to streamline software delivery and deployment, driving innovation and competitiveness in the digital age
Dimensiones constitutivas del Patrimonio Cultural Inmaterial.
Authors: Sevilla Herrera Oscar
Published: April 2024

El patrimonio cultural inmaterial posee un funcionamiento único, al contener manifestaciones y/o expresiones que contenido altamente simbólico para las comunidades siendo desplegadas por medio de ámbitos tan amplios como artes escénicas, las prácticas sociales, los rituales, los festejos hasta los conocimientos tradicionales. La Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO) se ha dado a la tarea de estudiar y posicionar mejores maneras entender el desarrollo de este patrimonio, proponiendo que existen cuatro facetas imprescindibles, que denominamos dimensiones siendo: 1) Tradicional, contemporáneo y viviente al mismo tiempo, 2) Integrador, 3) Representativo y 4) Basado en la comunidad, durante el desarrollo del presente artículo nos adentraremos en una profundización teórica de cada una de estas dimensiones para ampliar su panorama y mejorar en su entendimiento, con miras a la visualización de mejores prácticas de tratamiento, además de reflexionar en el accionar personal.
Keine harmlose Übertreibung
Authors: Isensee Till , Bähr Sonja
Published: April 2024

Ist es noch Greenwashing oder schon Betrug? Die Frage stellt sich derzeit immer häufiger, wenn Produkte, Verpackungen und Dienstleistungen mit markigen Worten beworben werden, die jegliches Maß vermissen lassen. Grenzwertige Übertreibungen und die weitschweifige Auslegung von Begriffen rütteln so sehr an der Glaubwürdigkeit, dass Unternehmen schon an der Durchführung von Nachhaltigkeitsmaßnahmen per se zweifeln. Das darf nicht passieren.
Palettierer sorgen für Ordnung
Authors: Röhl Thomas
Published: April 2024

Wortwörtlich hat sich Promens Packaging, die zur Berry Global Inc. Gruppe gehört, dazu entschlossen, die Palettierung aus der Hand zu geben. Stattdessen wird nun mit einer vollautomatisierten Roboteranlage aus dem Hause roTeg gearbeitet.
Cannabis-Verpackungen – eine echte Herausforderung?
Authors: Laux Matthias
Published: April 2024

Warum die Vakuum-Maschinen der MBM Innovations GmbH für das Verpacken von sensiblen Cannabis-Blüten optimal geeignet sind und welche Chancen sich durch Nutzung für medizinische Zwecke eröffnen, erläutert Sabrina Mayer-Mai, eine der beiden Juniorchefinnen von MBM.
S&OP in der Verpackungsglasindustrie
Authors: Goetjes Dennis , Lehmann Cedric
Published: April 2024

Die Verpackungsglasindustrie, bekannt für ihre einzigartigen Herausforderungen in der Produktion und Lieferkette, steht ständig vor der Notwendigkeit, ihre Abläufe zu optimieren und effizient zu gestalten. Ein Schlüsselwerkzeug, das Hersteller für Verpackungsglas dabei unterstützt, ist der Sales and Operations Planning (S&OP)-Prozess.
Voll automatisiert bis in den Lkw
Authors: Röhl Thomas
Published: April 2024

Bei Envases Öhringen steuert ein neues Intralogistiksystem von MSK verpackte Ware auf Palette komplett automatisiert bis in den Lkw. Das Steuerungskonzept wie auch die gesamte Fördertechnik stammen als Turnkey-Projekt aus einer Hand.
Projekt fördert Recycling in Ägypten
Authors: Sachs Melanie
Published: April 2024

Um die Lebensbedingungen der Müllsammler in Ägypten zu verbessern, haben sich SIG, Plastic Bank und die Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) zusammengetan. Die Unternehmen wollen helfen, die Recyclinglandschaft in Ägypten umzugestalten.
Flexibilisierung der Arbeitszeit in Diskussion
Authors: Bender Hanno , Deglow Hans-Jürgen
Published: April 2024

Seit dem Urteil des Bundesarbeitsgerichts zur Notwendigkeit einer Arbeitszeiterfassung von 2022 wird in Berlin über die Flexibilisierung der Arbeitszeit debattiert. Der Bundestag hörte nun Sachverständige zum Thema an.
„Der Preis ist nicht alles“
Authors: Krönert Alrun , Nissen Madeleine
Published: April 2024

Lange war es still um den Fruchthändler Fyffes. Im Interview sagt Vorstand Helge Sparsoe, wie er das Unternehmen umgebaut hat und warum mehr Fairtrade auch in Deutschland funktionieren kann.
Hippe Nische
Authors: Nissen Madeleine
Published: April 2024

Der Hype um das koreanische Kimchi macht aus eingelegtem Gemüse aus Omas Zeiten eine angesagte Spezialität für trendbewusste Städter. Hersteller und Händler springen auf den Zug auf. Madeleine Nissen
Flaschenpost zentralisiert mit Metro Logistics
Authors: Klug Denise
Published: April 2024

Die Oetker-Tochter Flaschenpost will die Lieferkette auf eine Zentrallogistik umstellen. Dafür nutzt der Lieferdienst künftig Services und Lagerfläche des Dienstleisters Metro Logistics.
Tegut bekennt sich zu Grab&Go
Authors: Giuri Maurizio
Published: April 2024

Das Kleinflächen-Format Teo bekommt einen weiteren Grab&Go-Standort. Im Gegensatz zur ersten Fläche in Darmstadt will Tegut den neuen Standort als Indoor-Variante in einer Bestandsimmobilie realisieren. Die eigenständige Schwestergesellschaft Smart Retail Solutions treibt die Weiterentwicklung des Formats voran.
Walmart entlädt Lkw autonom
Authors: Bökamp Lena
Published: April 2024

Walmart automatisiert weitere Prozesse in den Verteilzentren und nutzt an vier Standorten autonome Gabelstapler, um Lkw zu be- und entladen. Dafür schließt sich der Händler mit dem Hersteller-Startup Fox Robotic zusammen.
Powerbears setzt auf Welthits
Authors: Hübner Marco
Published: April 2024

Gummis statt Games: Lars Fuhrken-Batista hat früher Videospiele für namhafte Publisher wie Activision entwickelt. Heute bringt er unter dem Label Powerbears spezielle Fruchtgummis für Videospieler in die Regale von Edeka, Rewe und Co. Gegenüber großen Anbietern sieht er sich aus mehreren Gründen im Vorteil.
„Videospiele und Food-Produkte sind sich erstaunlich ähnlich“
Authors: Hübner Marco
Published: April 2024

Lars Fuhrken-Batista hat viele Jahre in der Computerspiele-Branche gearbeitet und den Neuanfang mit einem Süßwaren-Startup gewagt. Er sieht viele Gemeinsamkeiten zwischen beiden Branchen.
Lebensmittelhandel ist in Geberlaune
Authors: Rück Daniela
Published: April 2024

Der LEH hat seine Brutto-Werbeaufwendungen auch im März erhöht. Kaufland gibt weiter Vollgas, Procter bleibt unangefochten die Nummer eins.
Kulturfleisch vor dem Start
Authors: Schindler Barbara
Published: April 2024

Die Niederlande haben Regeln für die Verkostung von kultiviertem Fleisch aufgestellt. Die Produzenten bereiten sich auf den Markteintritt vor.
Deutschland bleibt wichtigster Markt
Authors: Schindler Barbara
Published: April 2024

Nach dem Rekordjahr 2022 sind die Ausfuhren von Agrargütern aus den Niederlanden nach Deutschland 2023 nur noch leicht gewachsen – und das vor allem aufgrund von Preissteigerungen bei Obst und Gemüse.
Beemster informiert per App
Authors: Schindler Barbara
Published: April 2024

Im zukünftigen „Gefecht um die Milch“ positioniert sich Milchverarbeiter Cono Kaasmakers als zuverlässiger Partner für die Bauern und den Handel.
Interaktive Karte zeigt Proteinwende
Authors: Schindler Barbara
Published: April 2024

Mehr als 450 Unternehmen, die sich mit alternativen Eiweißquellen beschäftigen, stellen sich online vor, um die Proteinwende gemeinsam voranzutreiben.
RedStar will klimaneutral werden
Authors: Schindler Barbara
Published: April 2024

Mit Transparenz vom Samen bis ins Regal und moderner Technologie soll RedStar zum bevorzugten Partner des LEH werden.
„Wir öffnen Türen für den Handel“
Authors: Schindler Barbara
Published: April 2024

Jack Vera und sein Team knüpfen im Auftrag der niederländischen Regierung Kontakte, um den Wissens- und Warenaustausch zwischen Deutschland und den Niederlanden zu fördern.
Künstliche Intelligenz optimiert die Landwirtschaft
Authors: Schindler Barbara
Published: April 2024

In Zeiten von fehlenden Arbeitskräften braucht es neue Technologien, um im Agrarsektor noch mehr Effizienz bei möglichst weniger Umweltbelastung zu erreichen.
Doctor’s Communication Skills and Mode of Communication as Determinants of Quality Patient Care Management in Two Selected Teaching Hospitals in Southwest Nigeria
Authors: F Oluwatuyi M. , Kemi Sam-Ijadele , Toyin Babalola
Published: April 2024

Quality patient care management is a systematic way to measuring, recording, monitoring, and continually improving efficiency, accessibility to high-quality healthcare, and patient satisfaction. Doctors in the teaching hospitals are at the center of research activities since intense patient care management are usually carried out by them. Previous studies have found that doctors seem not to be working towards quality patient care management in their teaching hospitals which could largely be attributed to certain factors such as doctor’s communication skills and doctors’ mode of communication. Using descriptive research design of the correlational type, the population comprised 658 doctors in two teaching hospitals namely Ekiti State University teaching hospital (EKSUTH) and OBAFEMI AWOLOWO UNIVERSITY TEACHING HOSPITAL (OAUTHC). Two stage stratified sampling technique (proportional type) was used to select samples from the population of the three doctors cadre in the two selected teaching hospitals. A sample fraction of 3/10 was used across all the cadre to get a total size of 197 for both selected teaching hospitals. A self-structured questionnaire comprising five sections was validated. Out of the 197 copies of the questionnaire administered, 187 representing 94.9% were retrieved and used for analysis. Descriptive statistics of frequency counts, percentages and means were used to analyze the research questions, while correlation and regression were used to test the hypotheses at 0.05 level of significance. There is positive weak relationship between doctors’ communication skills and quality patient care management (r = 0.357, p< 0.05). Doctors’ communication skills, and doctors mode of communication play vital roles in quality patient care management. Associations have been identified between these factors and quality patient care management. It is established by the study that doctors’ communication skills and modes monotonically influenced quality patient care management. Doctors’ communication skills and modes of doctor’s communication has positive effect while no effect on the quality of patient care management. Therefore, it is recommended that the hospital should channel more efforts and resources to improve the standard of communication skills of the doctors.
CORNEAL TRANSPLANTATION
Authors: Pedro do Valle Varela João , Gava Lara , Salvadora Cunha Brito Shaira , Vieira Lobo Jardim Renata , Vieira Praxedes Danielle , Borges Meirelles Paula , Pedro Forechi Rodrigues João , Oliveira Gil de Almeida Yasmin , Cruz Orsi Verena , Luiz Teixeira Fully Fabio
Published: April 2024

Corneal transplantation is an ophthalmic surgery that aims to restore vision in patients with corneal diseases. Advances in transplantation techniques and in the treatment of rejection have improved the results of this procedure, making it more effective and safer. This paper seeks to analyze the latest developments in transplantation techniques and treatments for rejection in corneal transplantation, highlighting not only scientific advances, but also the emotional and social aspects involved in this procedure, providing a comprehensive overview of the latest innovations in the field of corneal transplantation, highlighting improvements in surgical techniques and post-operative treatments, which are helping to transform the lives of thousands of patients around the world. This is a bibliographical review, using qualitative premises, with the PubMed, Scopus, Web of Science and Scielo databases. The health descriptors “corneal transplantation”, “corneal graft rejection” and “penetrating keratoplasty” were used to better refine the research. Corneal transplantation is indicated for various conditions, such as keratoconus, corneal dystrophies, corneal opacities, among others. The most common transplant techniques include complete (penetrating) corneal transplantation, anterior lamellar transplantation and endothelial transplantation (DSAEK/ DMEK). In recent years, there have been significant advances in lamellar transplantation techniques, which allow specific layers of the cornea to be replaced while preserving the healthy layers. This has resulted in better success rates and faster visual recovery compared to penetrating transplantation. Treatment of corneal graft rejection includes the use of topical and systemic corticosteroids, immunosuppressants and anti-inflammatory agents. New approaches, such as biological and immunomodulatory therapies, are also being investigated to improve results in cases of refractory graft rejection. In conclusion, corneal transplantation remains an important option for restoring vision in patients with corneal diseases. Updates in transplantation techniques and advances in the treatment of rejection have improved the results of this procedure, providing patients with a better quality of life and faster and more effective visual recovery.
Analyzing Customer Sentiments and Trends in Turkish Mobile Banking Apps: A Text Mining Study
Authors: Balcıoğlu Yavuz Selim
Published: April 2024

This study investigates customer satisfaction with mobile banking applications in Turkey through a comprehensive text mining analysis of user-generated reviews. Drawing from a large corpus of data across ten leading Turkish banks, including Ziraat Bank, İş Bank, Garanti BBVA, Akbank, Yapı Kredi Bank, Halkbank, Vakıfbank, DenizBank, QNB Finansbank, and Turkey Şekerbank, the alignment between user ratings and sentiments is explored to uncover the nuances of customer feedback. The dataset undergoes rigorous preprocessing, sentiment analysis, trend analysis, and Latent Dirichlet Allocation (LDA) topic modeling to identify prevailing themes and factors affecting user satisfaction. The methodology involves the classification of reviews into positive, negative, and neutral sentiments and the examination of trends over time to pinpoint periods of heightened dissatisfaction. The analysis is further augmented by the application of advanced machine learning algorithms, including Random Forest, Gradient Boosting Machine, and BERT, showcasing an accuracy range between 92% and 95% in sentiment classification. The results of the topic modeling are visualized through word clouds, providing a clear depiction of the dominant themes in user feedback. Trend analysis over time identifies critical periods where negative reviews surpass positive ones, often coinciding with app updates or changes in service features. The findings highlight the necessity for continuous improvement and testing of mobile banking applications to meet customer expectations effectively.
İthalatın Gelir Esnekliği Malların Teknoloji Yoğunluğuna Göre Farklılaşır Mı?
Authors: Özbaş Hakkı
Published: April 2024

Bu çalışmanın amacı ithalatı yapılan malların gelir esnekliklerinin malların teknoloji yoğunluklarına göre farklılaşıp farklılaşmadıklarını ölçmektir. Bu amaç doğrultusunda Türkiye, Meksika, Tayland, Brezilya, Çin, Hindistan, Rusya, Endonezya, Romanya, Arjantin, Şili ve Çekya’nın 1998-2021 dönemine ait panel verileri kullanılmıştır. İthalatı yapılan malların teknoloji yoğunluklarına göre ayrılması ile hammadde yoğun mal ithalatı, emek yoğun mal ithalatı, sermaye yoğun mal ithalatı, kolay taklit edilebilen araştırma yoğun mal ithalatı ve zor taklit edilebilen araştırma yoğun mal ithalatı olmak üzere beş farklı model oluşturulmuştur. Çalışmanın analizinde ithalat verileri bağımlı değişken, gelir, reel döviz kuru endeksi ve nüfus verileri bağımsız değişkenler olarak kullanılmıştır. Yapılan Driscoll ve Kraay (1998) analiz sonuçlarına göre gelir esnekliğine ait en yüksek katsayısının sermaye yoğun mal ithalatında en düşük katsayısının ise emek yoğun mal ithalatında gerçekleştiği tespit edilmiştir. Zor taklit edilebilen araştırma yoğun mal ithalatının gelir esneklik katsayısının, kolay taklit edilebilen araştırma yoğun mal ithalatının gelir esneklik katsayısından yüksek olduğu gözlemlenmiştir. Elde edilen bulgulara göre gelir artışının tüketici zevk ve tercihlerini değiştirerek emek yoğun mal ithalat talebini (0,83) gelir artış oranından daha az arttırdığı, sermaye yoğun mal ithalat talebini (1,17) gelir artış oranından daha fazla arttırdığı görülmüştür. Bu sonuçlar itibariyle ithalatın gelir esnekliğinin malların teknoloji yoğunluğuna göre farklılaştığı bulgusuna erişilmiştir.
Uluslararası Siyasi Ekonomide Neoliberal Dönüşüm ve Yapısal Güç
Authors: Ünal Serhan
Published: April 2024

Bu çalışma, küresel neoliberal dönüşümün politika yayılma mekanizmalarını ve arkasındaki itkileri incelemektedir. Çalışmanın temel sorusu, neoliberal dönüşümün hangi politika yayılma mekanizmaları aracılığıyla uluslararası siyasi ekonomide küresel bir nitelik kazandığıdır. Makalenin hem analiz birimi, hem de analiz seviyesi uluslararası sistemdir. Böylece, doruk neoliberalizm tartışmalarına ve neoliberalizm sonrası küresel siyasi ekonomik sistem tartışmalarına da katkı yapılmaktadır. Makale, neoliberal dönüşüm literatürünün hem uluslararası siyasi ekonomi, hem de Uluslararası İlişkiler açısından eleştirel bir derlemesini sunmakta, konu hakkındaki tartışmaları ve literatürdeki boşlukları öne çıkarmakta; Uluslararası İlişkiler ve uluslararası sosyoloji teorilerini de kullanarak, özellikle yapısal güç kavramından faydalanmaktadır. Tarihsel pencereden liberal düşünce türevlerine değinilmekte ve birbiriyle benzerlik ve farklılıklarından hareketle, neoliberalizmi ‘neo’ yapan özelliğinin ne olduğuna ışık tutulmaktadır.