Volume 12 | Issue 6 |

 Abstract

Public relations (PR) plays a pivotal role in shaping the reputation, credibility, and overall success of corporate organizations. This study delves into the multifaceted impacts of PR, exploring its influence on brand perception, stakeholder engagement, crisis management, and corporate communication strategies. Through a comprehensive review of existing literature and case studies, the research highlights how effective PR practices can enhance organizational transparency, foster trust, and drive business growth. It examines the strategic integration of PR within marketing, its role in digital and social media landscapes, and the importance of maintaining a consistent and positive public image. The findings underscore that robust PR initiatives are crucial for navigating the complexities of modern corporate environments, mitigating risks, and leveraging opportunities to build sustainable competitive advantages. By elucidating the tangible and intangible benefits of PR, this study provides valuable insights for organizations seeking to optimize their PR strategies and achieve long-term success.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Public relation, Crisis management, Stakeholder engagement, Reputation protection, Trust building.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Breast cancer imaging characteristics and patient-related data make up the study's extensive dataset. Tumor traits, patient demographics, and medical history are all part of these features, which comprise a variety of therapeutically significant aspects. Next, we use this dataset to train and test SVM and KNN models. We want to see how well they can distinguish between benign and malignant tumors. Classification accuracy, sensitivity, and specificity are just a few of the performance indicators used to assess each model's efficacy. You can learn a lot about the models' accuracy in breast cancer case classification and tumor type discrimination from these measures. This research highlights the strong performance of SVM and KNN algorithms in detecting breast cancer, which is important. This exemplifies the promise of machine learning methods to greatly improve medical diagnostics. More accurate and advanced breast cancer detection techniques are in the works, and this study hopes to add to the existing body of knowledge in the area. These techniques have the potential to enhance patient care by allowing for earlier identification, which in turn improves treatment results. In the end, the study aims to connect machine learning with clinical practice, providing useful insights that may guide the creation of personalized breast cancer diagnostic plans for patients. Researchers, physicians, and healthcare providers are working together to make these breakthroughs so that healthcare professionals can fight breast cancer better. Patients all across the globe will benefit from this.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, SVM, KNN, medical diagnostics, imaging data, early detection, and imaging.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Waste Food Management and Donation System organising and distributing leftover food is a critical component in addressing food waste and insufficient dietary intake. The current method makes a lot of effort, but it is not without flaws. In order to optimise food flow, maintain food safety, and make a concerted effort to reduce food waste from the start. By collaborating, utilising technology, and spreading the word, we can improve it. In this manner, we can guarantee that no one goes without food and that quality food is not wasted.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food waste management, food redistribution, food excess, food waste reduction, logistics, food safety, preventive techniques, technology, public awareness, sustainability, and food insecurity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cerebral stroke is a life-threatening medical condition that requires immediate diagnosis and intervention to minimize its devastating effects. Timely and accurate classification of stroke subtypes is crucial for determining appropriate treatment strategies and improving patient outcomes. In this research, we explore the application of supervised learning approaches to classify cerebral stroke subtypes based on relevant medical data. The study involves the collection of a diverse dataset comprising anonymized patient records, including clinical indicators, medical history, risk factors, and diagnostic imaging results. The data is carefully pre-processed to handle missing values, normalize numerical features, and address any potential biases. The experimental results demonstrate the effectiveness of supervised learning approaches in accurately classifying cerebral stroke subtypes. The model with the highest performance metrics is identified, and its potential integration into clinical settings is discussed. Additionally, the research explores potential challenges and limitations of the proposed approach, along with potential strategies to improve model accuracy and generalizability.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

stroke, risk prediction, machine learning, data analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A vehicle can generate electricity for operating a hybrid engine or recharging batteries by use of an electricity generating driveshaft. The electricity generating driveshaft is comprised of a magnetized driveshaft which acts as a rotor, and a series of copper wire nano-coils surrounding the magnetized driveshaft which acts as a stator in an electrical generator. As the magnetized driveshaft spins because of power from the hybrid engine, an electrical field is created which is captured by the copper wire coils and used to power the hybrid engine or recharge a super capacitor. This rotational movement creates a magnetic field and generates EMF into the coil as defined by Faraday's law of electromagnetic inductions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electricity,Manufacturing,Generation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines the feasibility and capability of a hybrid energy storage system (HESS). composed of battery and super-capacitor units, through simulation. Extensive use of internal combustion engine (ICE) - based vehicles has contributed to severe adverse impacts on the environment and accelerated depletion of fossil fuel reserves, leading to considerable rise in price of gas over the past two decades. These challenges, plus the low efficiency associated with the conventional drivetrains, have made the automotive industry seriously consider and move towards drivetrain electrification in vehicular systems. In electrified vehicles, the propulsion is fully or partially provided by electric motors, powered by on board energy storage systems. To make up for the limitations of the existing energy storage devices and contribute to vehicle electrification movement, the choice of HESS topology has been made based on simplicity of power and control circuits. cost and performance. The design takes into consideration the required power, the converter losses, limitations of energy storage devices, and quality of the current

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Super capacitor, Power Converter, Brushless DC Motor, Battery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The surge in food demand has pushed agriculture towards employing extensive techniques, leading to the indiscriminate use of chemical fertilizers and pesticides, adversely affecting public health. Consequently, health-conscious individuals are increasingly opting for organic foods, cultivated naturally. Despite this trend, the demand for organic foods remains sluggish in certain regions. This paper seeks to explore the factors driving consumers towards organic foods and the obstacles hindering the growth of their demand.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Organic foods, Synthetic Chemicals, Yield, Trust

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "Crime Reporting and Tracking System" is a comprehensive platform designed to facilitate efficient communication between citizens and law enforcement agencies. With users able to report incidents and track the status of their complaints, the system ensures transparency and accountability in addressing community concerns. Additionally, users can provide valuable feedback to enhance system effectiveness. Meanwhile, administrators have access to a dedicated dashboard for managing reported complaints, enabling timely resolution and response. By leveraging technology to streamline crime reporting processes and foster collaboration between citizens and authorities, the system aims to contribute to safer and more secure communities.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resolution, tracking, crime report

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A major step forward with far-reaching consequences for forensic biology's future is the use of sequencing technology to forensic DNA analysis. The potential, threats, and current tendencies of using sequencing in forensic investigations are discussed in this article. This research takes a multi-disciplinary approach by reviewing the literature, conducting case studies, interviewing experts, and analysing data to look at how sequencing might improve accuracy, grow forensic databases, and solve problems in complicated situations. Important topics include the need for strong regulatory frameworks, ethical concerns around privacy and permission, and the revolutionary power of sequencing to overcome the shortcomings of conventional approaches. If forensic scientists - stakeholders approach these obstacles with caution and planning, sequencing has the potential to transform forensic DNA analysis while bringing about digital justice.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Forensic DNA Analysis, Next-Generation Sequencing, Rapid DNA Sequencing, Forensic Biology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conventional dumpers unload exclusively from the rear using pneumatically operated cylinders, causing blockages in confined spaces. The Multidirectional Dumper, employing pneumatic cylinders and a chain drive, achieves 180-degree material discharge. Prototype tests demonstrate lateral unloading, overcoming unidirectional constraints. Rigorous testing confirms controlled discharge within a 180-degree range, with incline angle monitoring. The Multidirectional Dumper integrates a mobile app and lever mechanism for flexible control, enhancing safety and precision. This innovative design redefines dumper efficiency, offering control, safety, and productivity during material unloading, while addressing challenges. In sum, it advances dumpers, providing versatile solutions for diverse scenarios.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Material Loading, Multi-Directional Dumping Trailer, Working Enhancement, Arduino, Material Selection, Comprehensive Testing, Solenoid Valve, Internet of Things.

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Creative Commons Attribution 4.0 and The Open Definition