bluuebunny/crossref_metadata_2025 huggingface dataset:
Cyber Security Portal for Effective Management of Servers and Firewalls
Authors: Ms. Smitha K S  , Ms.Thanushree M N  , Ms. Sneha Latha Naidu R  , Ms.Teju L  , Prof.Aravinda Thejas Chandra
Published: May 2024

The project is an innovative endeavour that tackles the difficulties associated with overseeing heterogeneous servers inside the digital ecosystem. It suggests the creation of a single, centralized interface for the real-time monitoring and management of firewall configurations, security, and server health on diverse platforms. With an all-inclusive platform, administrators may take proactive measures against new threats by integrating firewall settings seamlessly, detecting security risks, streamlining server management, and providing administrators with actionable intelligence.Beyond traditional server management, the proposed system offers a centralized hub for effective, safe, and straightforward administrative server management in multi-server environments. It increases the overall effectiveness of server administration by reducing difficulties with server management and establishing the groundwork for a strong and resilient digital infrastructure that can adjust to changing cyber security threats
Experimental Study on Automated Controller of Street Light Management System using IoT
Authors: Kalaimathi D  , Mohan N  , Jayavel M  , Nakeswaran S  , Sivaganaeshkumar C  , Thirumeniraj
Published: May 2024

In order to ensure public safety and support nighttime activities, street lighting is crucial to the urban landscape, and this study starts by contextualizing its importance. It then goes on to analyze the shortcomings of the current street lighting systems, which are typified by their static control methods and poor environmental response.These shortcomings underscore the urgent need for a paradigm shift towards more intelligent and adaptive solutions. The core proposition of this project lies in the design and implementation of an advanced street light management system empowered by IoT technology. At its heart, the system comprises a sophisticated network of interconnected devices, including sensors, actuators, and a central control unit. These components collaborate synergistically to capture, analyze, and act upon real-time data gleaned from the surrounding environment. Through the application of cutting-edge data analytics and machine learning algorithms, the system autonomously adjusts lighting levels in accordance with fluctuating parameters such as ambient light levels, traffic density, weather conditions, and pedestrian activity. By dynamically optimizing energy usage while ensuring adequate illumination, the system not only enhances operational efficiency but also contributes to cost reduction and environmental sustainability. Moreover, the proposed system incorporates proactive maintenance features, enabling early fault detection and remote diagnostics. This capability minimizes downtime and enhances system reliability, thereby mitigating the operational challenges associated with traditional street lighting infrastructure. The project further explores the conceptual framework of IoT, elucidating its transformative potential in revolutionizing urban infrastructure management. By seamlessly integrating physical devices with digital intelligence, IoT facilitates the creation of interconnected ecosystems wherein data-driven decision-making and automation converge to drive unprecedented efficiency and innovation
Unleashing the Power of Django for Construction Materials Rental
Authors: Dr. R. Prem Sudha  , Mukilan.T  , Anitha.A  , Deepak.B  , Logesh Balaji.K  , Dr. R. Vigneh
Published: May 2024

In the realm of construction equipment rental, efficient management of resources and seamless access to construction materials are paramount for project success. This paper explores the utilization of Django, a high-level Python web framework, to revolutionize the construction equipment rental industry. By harnessing the power of Django, this study proposes a comprehensive platform that streamlines the process of renting construction equipment and accessing necessary materials. The platform integrates features such as user-friendly interfaces, robust inventory management systems, real-time tracking, and secure payment gateways to enhance user experience and optimize operational efficiency. Through a combination of Django's flexibility, scalability, and rich ecosystem of plugins, this solution aims to address the challenges faced by construction companies in managing equipment rentals and material procurement. Furthermore, the paper discusses the technical implementation of Django within the context of construction equipment rental, highlighting its potential to transform traditional workflows and propel the industry towards digital innovation. This study specify the adoption of Django in construction equipment rental has the potential to unleash a new era of efficiency, transparency, and productivity, thereby driving the industry towards greater success and competitiveness in the modern era
Decomposing Unit for Agricultural Waste
Authors: Ms. Sejal Shripat  , Mr. Jayesh Choudhari  , Ms. Kiran Dhabale
Published: May 2024

The decomposer unit is an essential part of the process that turns organic waste and raw materials into fertilizers, which makes a big difference in waste management and sustainable farming methods. This unit takes raw materials, mostly organic waste, and starts a sequence of actions to turn them into fertilizer that can be used. Organic matter breaks down chemically during decomposition, producing simpler chemicals that are high in potassium, phosphate, and nitrogen—three important nutrients. For the purpose of increasing soil fertility and fostering plant growth, these nutrients are essential. This process is optimized by the decomposer unit, which guarantees effective raw material usage and reduces waste
Cybersecurity Collaboration: Building Trust and Resilience through Information Sharing
Authors: Mr. Mohamed Bahar  , Dr. Mohammad Muqeem  , Dr. Omkar Pattnaik
Published: May 2024

This paper focuses on the pivotal role of information sharing practices for capacity building competences in the field of cybersecurity. It analysis the necessities and limitations of information sharing, aiming to boost a secure and resilient cyberspace that installs trust. The paper identifies the different types of information that can be shared and outlines the channels that support this exchange. By proposing five applications of information sharing in cybersecurity, it focusses on education and warning in order to enforce people competencies. High-level recommendations are proposed in conclusion for the establishment of a platform for information sharing and analysis
Text and Image Encryption using ECC
Authors: Kaviarasu C  , Kishore G  , Nithish P  , Dr G A Sathish Kumar
Published: May 2024

This project combines Elliptic Curve Cryptography (ECC) with Random Matrix Cryptography (RMC) for image encryption and ECC with the Lorenz algorithm to provide a comprehensive solution to data security. Chaotic equation for text encryption. While ECC-Lorenz uses chaotic dynamics for text encryption, ECC-RMC uses matrix operations to strengthen image encryption. The efficacy of both strategies in safeguarding the confidentiality and integrity of transmitted data is demonstrated through experimental validation, which therefore improves network communication security. A multi-layered encryption architecture is established by the integration of ECC-RMC and ECC-Lorenz, providing a strong defense against cyber attacks and unlawful access. This new encryption paradigm promises improved resilience in digital information transfer, marking a significant leap in data security measures. The suggested method gives a flexible way to combine computational complexity and mathematical rigor
Crop Yield Prediction using CNN
Authors: Ritik Bohra  , Shrunkhal More  , Shwetal Kamat  , Rishabh Pathak  , Prof. Manisha Shitole
Published: May 2024

Deep learning is a branch of Machine Learning which is completely based on artificial neural networks, as neural networks are going to mimic the human brain so deep learning is also a kind of mimic of the human brain. Farming is the main occupation of India. Crop yield has a direct impact on nation and international economies annually and the yield predicted plays a significant part in the food management and agriculture sector. The task is to build a prediction model for crop production . A prerequisite of intelligent systems has brought artificial neural networks to become a new technology which provides assorted solutions for complex problems in agriculture research. Performance of the agriculture sector mainly hinges on natural forces such as spatio-temporal distribution of rainfall, temperature, climate etc, with the result any deviation of monsoon from the normal pattern brings about numerous fluctuations in area and production. Crop yield has a direct impact on nation and international economies annually and the yield predicted plays a significant part in the food management and agriculture sector. The task is to build a prediction model for crop production. The basic principle of ANN architecture, Data Modeling for Prediction involves four stages namely historical data analysis (Descriptive), Data preprocessing, modeling of Data and Performance Estimation. First classify data based on different attributes. Regression analysis using CNN, it observes the relation between an independent (predictor) and dependent (target) variables. Based on relation training the model will predict crop yield production. application of ANN in predicting crop yield by using various crop performance features as input parameter
Bem-estar funcional e físico e preocupações de sobreviventes de câncer de mama
Authors: De Carvalho Moreira Maria Eunice , Yuzo Okuma Getúlio , Domingues Mingueto Pedro Henrique , Birelo Lopes de Domenico Edvane
Published: May 2024

Objetivos: Comparar os níveis de bem-estar funcional e físico e as preocupações específicas entre mulheres sobreviventes de câncer de mama. Método: Estudo transversal, correlacional, multicêntrico: uma instituição de saúde pública e outra suplementar, ambas no município de São Paulo, Brasil. A coleta de dados foi realizada no período de março a novembro de 2021, com mulheres diagnosticadas com câncer de mama de qualquer etiologia e estadiamento, livres da doença, com ou sem terapia endócrina. Foram utilizados Questionário Sociodemográfico e Clínico e o Functional Assessment of Cancer Therapy-Breast e a análise com estatística descritiva e analítica. Resultados: 90 mulheres participaram do estudo, com média de idade de 57,6 anos, a maioria diagnosticada entre 2017 e 2020. No sistema público, quanto à escolaridade, a maioria encontrava-se entre não alfabetizadas e com ensino médio incompleto, enquanto no grupo da saúde complementar, a maioria possuía ensino superior completo. No domínio preocupações adicionais-câncer de mama, o grupo público apresentou maior escore em relação à saúde complementar e, na soma dos dois grupos, a idade correlacionou-se positivamente e negativamente com o tempo de sobrevivência. Os escores de bem-estar funcional foram os mais baixos em ambos. Conclusão: O estudo destaca que mulheres sobreviventes de câncer de mama, independentemente do sistema de saúde, compartilham preocupações similares relacionadas à doença. Essas preocupações, especialmente evidentes em mulheres mais velhas e no SUS, têm um impacto significativo na qualidade de vida. É crucial que os planos de assistência considerem essas preocupações de forma individualizada, oferecendo suporte e educação após o tratamento.
Impact of low-level laser therapy on upper limb lymphoedema secondary to breast cancer: a systematic review and meta-analysis
Authors: Hussein Hisham Mohamed , Gabr Ahmed Maher Mohamed , Fadulelmulla Ibtisam Abdallah , Aldemery Ahmed Abdelmageed , Ragab Mohamed Marzouk Mohamed , Mohamed Amany Raafat , Dewir Ibrahim Metwally , Ibrahim Ahmed Abdelmoniem
Published: May 2024

Introduction

This review analysed the efficiency of low-level laser therapy in treating breast cancer-related lymphedema (BCRL) in women.

Material and methods

Databases such as Scopus, PEDro, PubMed, Cochrane, and Web of Science were searched for RCTs using low-level laser therapy (LLLT) or photo-bio modulation therapy (PBMT) on BCRL published between 2010 and August 2023. Primary outcomes were arm circumference, volume, and hand grip strength, while secondary outcomes were pain, shoulder mobility, and quality of life.

Results

Eleven RCTs with a total of 379 patients were analysed, and 8 studies were included for meta-analysis. We found no significant difference between laser-treated and control groups in any of the trials in terms of arm circumference, arm volume, grip strength, and quality of life post-intervention, and a significant difference between the groups in terms of pain intensity and shoulder mobility.

Conclusions

This review revealed that low-level laser therapy (photobiostimulation) was successful in reducing arm circumference, volume, and pain, as well as enhancing grip strength, life quality, and mobility. However, the meta-analysis did not show any improvement except in pain and shoulder mobility. Further trials are required to assess the long- and short-term efficacy of LLLT in managing lymphoedema secondary to breast cancer.
Biobasierte Kreislaufwirtschaft
Authors: Gordon Elin
Published: May 2024

Weniger Rohstoffe, weniger Abfall, weniger Emissionen – das Thema Kreislaufwirtschaft wird immer wichtiger. Mit faserbasierten Verpackungen wie Papiertragetaschen können Einzelhändler und Markeninhaber den nächsten Schritt in Richtung biobasierter Kreislaufwirtschaft machen. Gerade Papiertragetaschen sind ein nützlicher Bestandteil im Papierrecycling. Ein Mitglied der Initiative „ The Paper Bag“ erklärt, wie sie zu neuen faserbasierten Produkten recycelt werden. Eine Infografik zeigt den Kreislauf der Papiertragetaschen.
Weitaus mehr als robust
Authors: Menne Martinus
Published: May 2024

Induktive Sensoren werden vor allem aufgrund ihrer Nehmerqualitäten für den harten Industrieeinsatz sehr geschätzt. Reichen robust und damit auch eine höhere Temperaturbeständigkeit als Eigenschaften allein nicht aus, können sogenannte klimawechselfeste Sensoren von ipf electronic echte Alternativen sein, wie die Erfahrungen der IBS Paper Performance Group aus Österreich zeigen.
Nachhaltige Nutzung von Biomasse
Authors: Mohr Robert
Published: May 2024

Mit der Erforschung zur Nutzung von Biomasse für viele verschiedene Endprodukte beschäftigt sich Valmet seit Jahren. Aufgrund des gestiegenen Kundeninteresses etablierte die Firma ein neues Geschäftsfeld in Sundsvall: „Biomass Conversion“ mit einer speziellen Pilot Anlage, um bis zu 3 t/Tag unterschiedlichster Typen Pflanzen-basierter Biomasse zu verarbeiten. Diese werden von Kunden aus Europa, Asien, Amerika und Afrika nach Schweden geschickt.
Finanzspritze aus Zürich für Tegut
Authors: Stockburger Manfred
Published: May 2024

Migros Zürich musste bei ihrer Tochter Tegut trotz eigener Verluste Eigenkapital nachschießen. Die Zahlen aus Fulda geraten in den Fokus der Debatte um die Migros-Zukunft.
Südwest verdient wieder mehr
Authors: Mende Jan
Published: May 2024

Trotz zum Teil rückläufiger Preise erwartet Edeka Südwest ein leichtes Umsatzplus für das Jahr 2024. Auch die Marktanteile sollen wieder steigen.
Chefwechsel im Deutschlandgeschäft von JDE
Authors: Sachsenröder Delphine
Published: May 2024

Stühlerücken in den Chefetagen des Kaffeekonzerns JDE: Die neue Deutschlandchefin für das Handelsgeschäft kommt aus dem Unternehmen.
Brüssel scheitert mit Entwurf zum Nutri-Score
Authors: Falker Gerrit-Milena
Published: May 2024

Bislang ließ sich nur mutmaßen, ob sich Brüssel noch in dieser Legislatur für den Nutri-Score als EU-weites Logo ausspricht. Nun hat die Kommission erklärt, dass das Vorhaben eines der unerledigten Legislativvorschläge bleibt.
Digital Services Act im Testlauf
Authors: Bender Hanno , Deglow Hans-Jürgen
Published: May 2024

Der Digital Services Act (DSA) soll die Überwachung von Online-Plattformen verbessern. Zahlreiche Verfahren wurden bereits angestoßen. Ob sie gegen unkontrollierte Warensendungen aus Drittstaaten helfen, muss sich erst noch zeigen.
EU-Kommission legt Bericht zu „unfairen Praktiken“ vor
Authors: Bender Hanno
Published: May 2024

Bis Ende 2025 wird Brüssel eine ausführliche Bewertung der UTP-Richtlinie vorlegen. Erste Änderungsoptionen zeichnen sich ab.
Schwarz IT hebt Lidl-Warenwirtschaft in die Cloud
Authors: Klug Denise , Stockburger Manfred
Published: May 2024

Die IT-Sparte der Schwarz-Gruppe hat sich beim neuen Warenwirtschaftssystem des Discounters Lidl für eine cloudbasierte Lösung entschieden. Die eigene Cloud Stackit wird dennoch nicht alle Prozesse abdecken können.
Rewe stärkt sich mit High-Tech
Authors: Giuri Maurizio
Published: May 2024

Rewe zieht das Tempo bei der Digitalisierung des Geschäfts an. Auf dem ECR-Tag von GS1 in Köln berichtete Konzernchef Lionel Souque von der Vielzahl aktueller Projekte des Händlers. Co-Gastgeber Coca-Cola zeigte, wie mithilfe der Marken-App Kundenbindung gelingen kann.
Wie der Handel Lieferketten stabilisieren kann
Authors: Wisotzky Dustin , Serwazi Konstantin
Published: May 2024

Die LEH-Logistik spürt derzeit einen historisch beispiellosen Druck in ihren Lieferketten. Doch der Handel kann mithilfe von Stellschrauben wie der Digitalisierungen den Kostendruck lindern und die Supply Chain stabilisieren.
„Europa braucht Kapazität für 1,5 Millionen Tonnen Rezyklate“
Authors: Wenzel Horst
Published: May 2024

Lebensmittelverpackungen mit weniger als 10 Prozent Rezyklatgehalt drohen ab 2030 Vertriebsverbote. Der oberschwäbische Spezialist für Hi-Tech-Folien, Südpack, will der rohstoffhungrigen Food-Industrie mit chemischem Recycling beistehen.
Düring verbessert Produktionsfluss
Authors: Bender Ralf
Published: May 2024

Durch den Umzug in ein neues Werk hat der Entkalkerspezialist Düring die Voraussetzung für weiteres Wachstum geschaffen.
Nomoq schafft Platz für Ausbau
Authors: Bender Ralf
Published: May 2024

Für individuell bedruckte Dosen in niedrigen Stückzahlen hat Nomoq zwei Werke in Deutschland und Großbritannien in Betrieb genommen. Die Nachfrage steigt.
Artdeco will mit italienischem Investor international wachsen
Authors: Ingelmann Anja
Published: May 2024

Die italienische Sodalis Group übernimmt die Mehrheit an dem Kosmetikspezialisten Artdeco. Firmengründer Helmut Baurecht reagiert mit dem Schritt auf die Konzentration im Handel und bei Lieferanten.
Kao steigt in neue Kategorien ein
Authors: Ingelmann Anja
Published: May 2024

Kao will seinen Europa-Umsatz bis 2030 verdoppeln. In Deutschland setzt der Konzern künftig auch auf Haut- und Sonnenpflege. Im Haargeschäft geht der Hersteller in neue Segmente.
„Die meisten deutschen Erzeugergemeinschaften sind schwach aufgestellt“
Authors: Falker Gerrit-Milena
Published: May 2024

Hierzulande gibt es nur wenige geografisch geschützte Lebensmittel. Marcus Stumpf schildert, warum das so ist und wie er mit seinem im Aufbau befindlichen Verband den Anteil erhöhen will.
Reform soll geografisch geschützte Angabe stärken
Authors: Falker Gerrit-Milena
Published: May 2024

Ab Montag gelten neue Regeln zum „Geoschutz“. Sie könnten auch deutsche Erzeuger ermutigen, vermehrt auf das rot-gelbe und blau-gelbe Siegel zu setzen.
„Wir wollen den Fitnessmarkt demokratisieren“
Authors: Lach Ulrike
Published: May 2024

Kai Schmidhuber macht keinen Hehl aus den hochgesteckten Zielen für Aldi-Sports. Er ist überzeugt, für einen Erfolg, also Umsatz, wird eine starke digitale Präsenz entscheidend sein. Sie sorgt für Kundenbindung und Neugewinnung.
Amazon justiert bei Drohnenlieferung nach
Authors: Klug Denise
Published: May 2024

Die Drohnen des E-Commerce-Riesen Amazon fliegen jetzt auch in Arkansas, USA. In Kalifornien zieht das Unternehmen dafür nach zwei Jahren Betrieb den Stecker.
Fressnapf gönnt sich ein neues Logo
Authors: Rück Daniela
Published: May 2024

Neues Logo nach 34 Jahren – Fressnapf wechselt sein Markengesicht. Der überarbeitete Auftritt soll die Positionierung als Umsorger-Marke unterstreichen.
Edeka entfacht das Sportfieber
Authors: Nusser Bernd , Katzmann Marius
Published: May 2024

Das große Sportthema bei Edeka heißt Olympia. Dennoch will Deutschlands LEH-Marktführer von der anstehenden Fußball-Europameisterschaft profitieren. Dafür hat der Händler ein Promotionpaket geschnürt – und holt ein Produkt von Nationaltorwart Manuel Neuer in die Regale.
„Die Wasserwende schaffen wir nur gemeinsam!“
Authors: Andritschke Nico
Published: May 2024

Die CO2-Emissionen erreichten 2023 einen neuen Höchstwert. Steigende Temperaturen treiben den Wasserkreislauf weiter an – mit negativen Auswirkungen auf Klima, Wasserverfügbarkeit, Landwirtschaft, Biodiversität und den Energiesektor. Es ist Zeit zum Handeln!
Mit Systemintelligenz zum effizienteren Wassermanagement
Authors: Pater Marc-Georg
Published: May 2024

Städte sind von überhitzten, versiegelten Flächen geprägt, die zu massiven urbanen Hitzeinseln führen, zugleich nimmt die Luftqualität ab und die Wasserknappheit zu. Das Szenario ist bereits ansatzweise erlebbar – für die Zukunft braucht es neue Antworten.
Effiziente und anwendungsorientierte Pumpentechnologien
Authors: Groth Michael
Published: May 2024

Ob in der kommunalen Aufbereitung oder in industriellen Kläranlagen: Abwasser stellt hohe Anforderungen an die Fördertechnik. Die Wahl der richtigen Pumpentechnologie kann sowohl die Prozesse optimieren als auch die Energiekosten reduzieren.
Trinkwassernetz – automatisiertes Monitoring und digitale Steuerung
Authors: Schuster Jonas , Ernst Mathias
Published: May 2024

Beim MoDiCon-Verbundvorhaben wurde an der Etablierung einer Onlineüberwachung der Wasserqualitätsparameter in Echtzeit geforscht – zur schnellen Detektion, Simulation im Verteilungssystem und vor allem raschen Reaktion auf entstehende Veränderungen.
Bereit für «Verpackung 4.0»?
Authors: Peinchina Jean-Michaël
Published: May 2024

Der Begriff «Industrie 4.0» ist zum viel diskutierten Thema nicht nur in der Maschinenbaubranche geworden und hat in der gesamten Verpackungsindustrie besondere Aufmerksamkeit gefunden. Im Mittelpunkt von Industrie 4.0 stehen vor allem die Verbesserung der Leistung von Maschinen und die Optimierung der Back-Office-Prozesse. Im Vergleich dazu wurden der Automatisierung und Straffung der E-Commerce/Verkauf 4.0 Verkaufsprozesse bislang bemerkenswert wenig Beachtung geschenkt.
Lieferketten im Stresstest
Authors: Frutig Markus
Published: May 2024

Die Schweizer Volkswirtschaft bedrohen zunehmend Versorgungsengpässe und stellen die Logistikbranche vor grosse Herausforderungen. Die aktuelle Logistikmarkt Studie Schweiz Teil 1/2024 zeigt dazu auf, dass insbesondere auch die Schweizer Verpackungsindustrie durch Schwankungen in der Verfügbarkeit von Rohmaterialien wie Kunststoff und Papier betroffen ist. Preissteigerungen und Lieferverzögerungen sind die Folge. Von Markus Frutig, Chefredaktor packAKTUELL
„Prozess für die Zulassung läuft“
Authors: Schultz Olaf
Published: May 2024

Frankfurt a.M. Die Bayer AG aus Leverkusen will den Landwirten bald ein neues Bioinsektizid anbieten. Zu dem Produkt hat der Konzern mit der britischen Firma AlphaBio Control eine Exklusivlizenz-Vereinbarung abgeschlossen.
Vom Spezialisten bis End-to-End
Authors: Schmidt Robin
Published: May 2024

Berlin. Auch wenn sich die Branche in Deutschland noch zwischen großflächigen Anlagen und kleineren, urbanen Systemen einpendelt, wird Indoor-Farming bereits im industriellen Maßstab erfolgreich betrieben.
Mehr heimische Hülsenfrüchte auf den Tellern
Authors: Schultz Olaf
Published: May 2024

Frankfurt a.M. Nur ein geringer Anteil der hierzulande angebauten Pflanzen dient unmittelbar der menschlichen Ernährung. Die Absatzperspektiven werden weiterhin positiv eingeschätzt.
Fefac warnt vor Sojaengpässen
Authors: Mönch Axel
Published: May 2024

Brüssel. Ab dem Jahreswechsel müssen die Importeure von Soja nachweisen, dass ihre Ware nicht von kürzlich gerodeten Flächen stammt. Die technischen Voraussetzungen für die Rückverfolgbarkeit sind noch nicht geklärt. Es ist fraglich, ob die Vorbereitungen für die EU-Entwaldungsverordnung (EUDR) überhaupt bis zum Jahresende abgeschlossen werden können.
Baywa mit roten Zahlen
Authors: Schultz Olaf , Vetter Bernhard
Published: May 2024

Frankfurt a.M. Der Münchner Agrarkonzern Baywa spricht von einem „saisontypischen Start in das Jahr 2024“. In den nächsten Monaten soll die Geschäftsentwicklung „deutlich dynamischer“ werden.
„Pauschale Lösungen helfen nicht“
Authors: Deininger Olaf
Published: May 2024

Frankfurt a. M. Welchen Beitrag die BASF bei der Bewältigung der Biodiversitätskrise leisten kann, besprachen wir mit Markus Röser.
„Gute Datengrundlage benötigt“
Authors: Waltmann Maximilian
Published: May 2024

Berlin. Matthias Nachtmann spricht über den Mehrwert digitaler Technologien und warum Betriebe diese spätestens jetzt nutzen sollten.
75 Prozent des Strombedarfs selbst produzieren
Authors: Sudahl Michael
Published: May 2024

Flache Dächer und große Hallen: Logistiker haben ideale Voraussetzungen, um Photovoltaikanlagen auf ihren Gebäuden zu installieren, die Sonnenstrom erzeugen. Die Reform des EEG erlaubt zudem ab 2024 eine Eigennutzung dieser regenerativen Energie.
Wäsche waschen, ohne eine Waschmaschine zu besitzen
Authors: Hugo Pascal
Published: May 2024

Forscher des schwedischen Royal Institute of Technology (KTH) in Stockhol testeten in Kooperation mit dem Hausgeräte-Hersteller Gorenje im Projekt „ReCiPSS“ ein zirkuläres Modell, Wäsche zu waschen, ohne dass die Nutzer eine Waschmaschine besitzen. Wie funktioniert das Geschäftsmodell und welche Vor- und Nachteile hat es?
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
Authors: Choi Jaekeol
Published: May 2024

Relevance evaluation of a query and a passage is essential in Information Retrieval (IR). Recently, numerous studies have been conducted on tasks related to relevance judgment using Large Language Models (LLMs) such as GPT-4, demonstrating significant improvements. However, the efficacy of LLMs is considerably influenced by the design of the prompt. The purpose of this paper is to identify which specific terms in prompts positively or negatively impact relevance evaluation with LLMs. We employed two types of prompts: those used in previous research and generated automatically by LLMs. By comparing the performance of these prompts in both few-shot and zero-shot settings, we analyze the influence of specific terms in the prompts. We have observed two main findings from our study. First, we discovered that prompts using the term ‘answer’ lead to more effective relevance evaluations than those using ‘relevant.’ This indicates that a more direct approach, focusing on answering the query, tends to enhance performance. Second, we noted the importance of appropriately balancing the scope of ‘relevance.’ While the term ‘relevant’ can extend the scope too broadly, resulting in less precise evaluations, an optimal balance in defining relevance is crucial for accurate assessments. The inclusion of few-shot examples helps in more precisely defining this balance. By providing clearer contexts for the term ‘relevance,’ few-shot examples contribute to refine relevance criteria. In conclusion, our study highlights the significance of carefully selecting terms in prompts for relevance evaluation with LLMs.
Implementing Machine Learning Algorithms for Predictive Network Maintenance in 5G and Beyond Networks
Authors: Kannan Yamini , Kapil Dharika
Published: May 2024

With the evolution of fifth generation (5G) network technologies, network maintenance strategies have become increasingly complex, necessitating the use of predictive analysis enabled by Machine Learning (ML) algorithms. This paper emphasizes exploring how ML algorithms can further enhance predictive maintenance in 5G and future networks. It reviews the current literature on this interdisciplinary topic, identifying key ML models such as Decision Trees, Neural Networks, and Support Vector Machines, and discussing their benefits and limitations. Special attention is given to the methodologies in applying these models, handling of data stages, and the training process. Major challenges in implementing ML in the context of network maintenance, such as data privacy, data gathering, model training, and generalizability, are discussed. Furthermore, the research aims to go beyond predicting maintenance needs to introduce a proactive approach in improving overall network performance and pre-empting potential issues based on ML predictions. The paper also discusses possible future trends including advancements in ML algorithms, Automated Machine Learning (AutoML), Explainable AI, and others. The objective is to provide a comprehensive understanding of the current ML-based predictive maintenance field and outline possibilities for future research. The study finds that the application of ML algorithms continues to show promise in transforming the landscape of network management by improving predictive maintenance and proactive performance enhancement strategies. It remains a challenging yet important area in the context of 5G networks.
Assessing the Level of Oral Health Knowledge and Practice among State University Students in Enugu State, Nigeria.
Authors: SC Okoronkwo , SNO Ibe , UM Chukwuocha , BO Nworuh , UA Ugwumba , OR Azubuine , EC Okoronkwo , CS Oyamienlen , MC Ndubuisi
Published: May 2024

Background Oral health is often ignored, especially among young adults, posing risks to overall health and well-being. In Enugu State, Nigeria, like every other place in the globe, inadequate oral health knowledge and practices among university students are of great concern. Hence, this study focuses on state university students, recognizing their unique challenges such as study pressures and limited access to oral healthcare. Understanding their oral health knowledge and practices is essential for targeted interventions. Data generate can inform the state governments to prioritize oral health initiatives and allocate resources effectively within the region, addressing a critical public health concern. Aim This study elucidated assessing level of Oral health knowledge and practice among State University students in Enugu State, Nigeria. Methods The sample of the study comprised 786 students drawn through a multistage sampling selection method. A pre-tested, well-structured questionnaire was the main instrument of data collection for assessing level of Oral health knowledge and practice among State University students in Enugu State, Nigeria. Statistical Package for Social Sciences (SPSS) Version 23 was used for analysis. Results Findings showed 34% of students possess inadequate oral health knowledge while lesser percentage of students 1% showed poor oral health practice compared to students’ total population. Whereas socio-economic status indeed plays a role in shaping students’ oral health knowledge and practices, potentially warranting targeted interventions to address disparities and promote oral health equity among university students. However, Chi-square analysis reveals demographic variables’ associations with knowledge and practice levels among students. Gender lacks significance in both areas (p=0.47 for knowledge; p=0.175 for practice). However, age significantly correlates with knowledge (p<0.001), and class level associates highly with both knowledge and practice (p<0.001). Thus, age and class significantly influence students’ habits. Conclusion Relevant oral health educational interventions are required to promote oral health knowledge and practice among State University students in Enugu State, Nigeria.
A review of strategic decision-making in marketing through big data and analytics
Authors: Kikelomo Fadilat Anjorin  , Mustafa Ayobami Raji  , Hameedat Bukola Olodo
Published: May 2024

This review paper delves into the transformative impact of big data and analytics on strategic marketing decision-making. Examining the integration of vast datasets and analytical tools in marketing strategies highlights how these technological advancements enable a deeper understanding of customer behavior, enhance product development, and provide a competitive edge. The review underscores the importance of data-driven insights in formulating personalized marketing strategies and the critical role of analytics in predictive and prescriptive decision-making. It addresses the challenges and ethical considerations associated with big data usage, emphasizing the need for robust data governance and ethical practices. The paper suggests future research directions, focusing on emerging technologies and methodologies that could further influence strategic marketing decisions.
Keywords: Big Data, Analytics, Strategic Marketing, Data-Driven Decision-Making, Ethical Considerations, Emerging Technologies.
Creating Lasting Love: An Ethnographic Study of Sexual Pleasure, Intimacy and Contraception
Authors: Boydell Victoria
Published: May 2024

Sexual pleasure and intimacy are key reasons why people have sex, yet it remains underexamined in our understanding of how people make decisions about contraception. This paper draws on ethnographic research of the intersections between sexual pleasure, intimacy and contraception among women using specialist contraceptive services in central London. I describe how contraceptive use and choices are intertwined with how women assess intimacy in their sexual relationship, and not solely a desire to avoid pregnancy. How and when women use contraceptives relays their concerns about creating and maintaining pleasure and intimacy in their sexual relationships. Moreover, this ethnographic account illustrates how women draw on various contraceptive methods in their decision making and use them to increase communication and trust, distinguish relationships and potentially enhance sexual pleasure, which is indexical and necessary for enduring intimate connections. Considering intimacy alongside sexual pleasure also allows us to consider the relational dimensions of contraceptive choice and how these are far from static, one-off decisions. These empirical insights into intimacy illustrate that contraceptive choice is both a reflection of the perceived intimacy in a relationship and is also a “practice of intimacy”, particularly when people are navigating the various forms of intimacies available.
Protéger et restaurer la biodiversité et les services écosystémiques
Authors: ISBELL Forest
Published: May 2024

Ce chapitre examine deux stratégies de conservation très répandues, les zones protégées et la restauration écologique, tout en mentionnant brièvement quelques stratégies supplémentaires. Il explique comment la protection de la biodiversité peut également contribuer à protéger le fonctionnement et les services écosystémiques, et comment l'augmentation des niveaux de biodiversité dans les programmes de restauration peut accroître leur efficacité.
La sécurité des réseaux IdO dans la maison connectée
Authors: LATA Manju , KUMAR Vikas
Published: May 2024

Ce chapitre aborde les principaux défis liés aux réseaux des maisons intelligentes et examine leurs implications pour la sécurité des maisons connectées. Nous énumérerons les défis auxquels les réseaux sont confrontés, ainsi que les pratiques, normes, initiatives comme Open Connectivity Foundation (OCF), Zigbee Alliance, IFTTT (“If This Then That”), les protocoles comme Constrained Application Protocol (COAP) et Datagram Transport Layer Security (DTLS) et solutions actuelles.
IdO, apprentissage profond et cybersécurité dans la maison connectée : une étude
Authors: ATIEH Mirna , MOHAMMAD Omar , SABRA Ali , RMAYTI Nehme
Published: May 2024

Ce chapitre aborde l'utilisation de l'intelligence artificielle, de l'apprentissage automatique et de l'apprentissage profond dans le contexte des maisons connectées. Plus précisément, il met l'accent sur les avantages de l'utilisation de l'apprentissage profond en termes de sécurité dans la cybersécurité des maisons connectées. Ce chapitre examine également divers cas d'utilisation de l'intelligence artificielle et de l'apprentissage automatique, tels que la reconnaissance des activités humaines dans les maisons connectées, en utilisant des réseaux de neurones et des techniques d'apprentissage automatique. Ces méthodes permettent de détecter et d'analyser les comportements et les actions des résidents, ce qui peut contribuer à améliorer la sécurité et le confort dans les maisons connectées.
Construction de niche et stratégies des premiers colons dans le centre de la Scandinavie
Authors: ERIKSSON Ove , LINDHOLM Karl-Johan
Published: May 2024

La colonisation humaine, la mise en place d’activités agricoles et sidérurgiques au cœur de la forêt boréale de Scandinavie centrale ont nécessité de relever de nombreux défis posés par un environnement hostile. La domestication du paysage est abordée sous l’angle de la construction d’une niche écologique par l’homme, possible grâce à des acquis antérieurs et à l’adaptation aux nouvelles conditions.
Révéler les changements écologiques de long terme par le rééchantillonnage
Authors: WALLER Donald M.
Published: May 2024

Le ré-échantillonnage de placettes permanentes ou semi-permanentes qui ont fait l’objet d’un relevé de végétation par le passé s’avère une approche utile pour analyser les changements intervenus sur des pas de temps de quelques décennies. Il est possible d’inférer les mécanismes à l’œuvre derrière ces changements, mais certaines précautions doivent être observées. Les apports et les limites de la méthode sont critiquées.
Temps linéaire et temps emboîté en écologie historique : application aux études de sol
Authors: ERTLEN Damien
Published: May 2024

Le temps est un sujet au cœur de la communication entre les différents champs disciplinaires impliqués dans l’écologie historique. Une alternative aux temps continus des historiens est de considérer des intervalles de temps emboîtés, ce qui permet d’avoir des échelles de temps auxquelles les espaces se superposent. Les sols, qui renseignent sur les environnements passés, sont ici appréhendés sous cet angle.
L’analyse des anciennes charbonnières pour l’étude des trajectoires forestières
Authors: ROBIN Vincent , DUFRAISSE Alexa , OLIVEIRA Claudia
Published: May 2024

L’analyse des aires de faulde permet de reconstituer l’histoire du charbonnage en forêt et ses conséquences sur les écosystèmes à différentes échelles spatiales. L’obtention de données chronomogiques reste une étape clé, qui nécessite le recours à des marqueurs, comme le radiocarbone et la technique, plus récente, de luminescence optiquement stimulée.
Le contrôle biologique en horticulture
Authors: GUIBERT Nicolas , SAINT JEAN Maïder , PRIGENT-COMBARET Claire , DEOGRATIAS Jean-Marc , CABASSON Cécile , PÉTRIACQ Pierre
Published: May 2024

L'horticulture est la branche de l'agriculture qui s'intéresse aux fruits, aux légumes et aux plantes ornementales. Ce chapitre examine les biocontrôles dans l'horticulture, en se concentrant sur les compromis physiologiques pour la croissance et l'immunité, ainsi que sur les co-innovations et les compromis économiques. Il aborde également les défis actuels et propose des perspectives d'avenir.
Déchets et sous-produits agro-industriels comme sources de biopesticides
Authors: ANDRES Maria Fe , GONZÁLEZ COLOMA Azucena
Published: May 2024

L'industrie agricole produit des milliards de tonnes de résidus issus de la transformation des cultures végétales et de leurs sous-produits. Ces résidus peuvent causer des pollutions et à l’échelle mondiale mais sont aussi une source de produits à forte valeur ajoutée. Ce chapitre donne un aperçu du potentiel des déchets agro-industriels en tant que matière première pour la production de produits naturels pour la protection des plantes.
Agriculture assistée par le microbiome : connaissances actuelles et futures orientations
Authors: YU Ke , LIU Hongwei , ZHONG Wei , STRINGLIS Ioannis A.
Published: May 2024

Le microbiome peut améliorer la croissance des plantes et contrôler les agents pathogènes importants qui les infectent. Comprendre comment les plantes façonnent leur microbiome et les différents mécanismes utilisés par les microbes pour s'associer aux plantes est important pour le développement de solutions agricoles basées sur le microbiome. Nous présentons ici les connaissances actuelles sur les interactions plantes-microbiome et les stratégies permettant de créer des microbiomes bénéfiques pour les plantes et le sol.
Principe général de la modélisation et application à la météorologie
Authors: MENUT Laurent
Published: May 2024

De nombreux processus participent à l’évolution de la composition atmosphérique à l’échelle d’une région. Une méthode pour prendre en compte l’ensemble de ces processus est de développer des outils intégrés de modélisation numérique. Ce chapitre présente tout d’abord les principes de base de la modélisation utilisée en pollution atmosphérique, en commençant par la modélisation de la météorologie.
Les dépôts
Authors: MENUT Laurent
Published: May 2024

Ce chapitre présente la modélisation des dépôts secs et humides dans un des puits pour les espèces chimiques modélisées. Ces deux processus sont particulièrement importants à représenter mais font l’objet de moins d’études de modélisation que les émissions ou le transport, par exemple. Les différents schémas existants sont présentés et discutés.
Qualification et optimisation
Authors: MENUT Laurent
Published: May 2024

Ce chapitre présente les différentes approches pour jauger du réalisme d’une simulation par rapport à ce que l’on cherchait à représenter. Cela inclut le calcul de scores statistiques et les représentativités différentes entre mesures et observations. Sont présentées ensuite les différentes méthodes pour évaluer la variabilité du modèle notamment avec des simulations de scénarios et des simulations d’ensemble.
Contribution of fluorescent primary biological aerosol particles to low-level Arctic cloud residuals
Authors: Pereira Freitas Gabriel , Kopec Ben , Adachi Kouji , Krejci Radovan , Heslin-Rees Dominic , Yttri Karl Espen , Hubbard Alun , Welker Jeffrey M. , Zieger Paul
Published: May 2024

Abstract. Mixed-phase clouds (MPCs) are key players in the Arctic climate system due to their role in modulating solar and terrestrial radiation. Such radiative interactions rely, among other factors, on the ice content of MPCs, which is regulated by the availability of ice-nucleating particles (INPs). While it appears that INPs are associated with the presence of primary biological aerosol particles (PBAPs) in the Arctic, the nuances of the processes and patterns of INPs and their association with clouds and moisture sources have not been resolved. Here, we investigated for a full year the abundance of and variability in fluorescent PBAPs (fPBAPs) within cloud residuals, directly sampled by a multiparameter bioaerosol spectrometer coupled to a ground-based counterflow virtual impactor inlet at the Zeppelin Observatory (475 m a.s.l.) in Ny-Ålesund, Svalbard. fPBAP concentrations (10−3–10−2 L−1) and contributions to coarse-mode cloud residuals (0.1 to 1 in every 103 particles) were found to be close to those expected for high-temperature INPs. Transmission electron microscopy confirmed the presence of PBAPs, most likely bacteria, within one cloud residual sample. Seasonally, our results reveal an elevated presence of fPBAPs within cloud residuals in summer. Parallel water vapor isotope measurements point towards a link between summer clouds and regionally sourced air masses. Low-level MPCs were predominantly observed at the beginning and end of summer, and one explanation for their presence is the existence of high-temperature INPs. In this study, we present direct observational evidence that fPBAPs may play an important role in determining the phase of low-level Arctic clouds. These findings have potential implications for the future description of sources of ice nuclei given ongoing changes in the hydrological and biogeochemical cycles that will influence the PBAP flux in and towards the Arctic.
IMK–IAA MIPAS retrieval version 8: CH4 and N2O
Authors: Glatthor Norbert , von Clarmann Thomas , Funke Bernd , García-Comas Maya , Grabowski Udo , Höpfner Michael , Kellmann Sylvia , Kiefer Michael , Laeng Alexandra , Linden Andrea , López-Puertas Manuel , Stiller Gabriele P.
Published: May 2024

Abstract. Using the IMK–IAA data processor, methane and nitrous oxide distributions were retrieved from version-8 limb emission spectra recorded with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS). The dataset includes measurements from the nominal, upper troposphere–lower stratosphere, middle-atmosphere, upper-atmosphere and noctilucent-cloud observation modes. The processing differs from the previous version-5 data with respect to the atmospheric state variables that are jointly retrieved along with the target gases CH4 and N2O, the treatment of the radiance offset, the selection of microwindows, the regularization, the spectroscopic data used and the treatment of horizontal variability of the atmospheric state. Besides the regular data product, a coarse-grid representation of the profiles with unity averaging kernels is available, as well as a specific research product for middle-atmosphere measurements resulting from a slightly different retrieval approach. The CH4 errors are dominated by the large spectroscopic uncertainty for line intensities, which probably is too pessimistic, and estimated to be 21 %–34 % in the altitude range 6–68 km for northern midlatitude summer day conditions. The N2O errors are 7 %–17 % below 45 km. At higher altitudes they increase strongly due to nearly vanishing N2O amounts. Analysis of the horizontal averaging kernels reveals that for both gases the horizontal resolution is sampling-limited; i.e., information is not smeared over consecutive limb scans. Zonal-mean seasonal composites of both CH4 and N2O exhibit the typical distribution of source gases with strong upwelling in the tropics and subsidence above the winter poles. Comparison with the previous data version shows several improvements: first, the vertical resolution of the retrieved CH4 (N2O) profiles has generally been significantly enhanced and varies between 2.5 (2.5) and 4 (5) km at altitudes between 10 and 60 km, with the best resolution around 30 km for both species. Secondly, the number of non-converged retrievals has been clearly reduced, and thirdly, formerly strongly oscillating profiles are now considerably smoother.