Alternative Solution Research Articles

Application of The Reverse Engineering In The Modelling of A Blade and Screen In A Hammer Mill

PT XYZ plans to produce coconut shell briquettes. Currently, PT XYZ already has a hammer millmachine that will be used in the production process. A hammer mill machine is a machine that servesto smooth the material. Before carrying out mass production, a simulation is carried out first. Themanufacture of briquettes found obstacles in the process of grinding and screening. Coconut shellcharcoal that has been milled and entered is partially retained and cannot be released to proceed to thenext process. The grinding result is larger than the screen size, which is 1 to 2 mm. In the manufactureof briquettes, it is expected that the grinding results are less or equal to 0.4 mm. Based on theidentification of the problem, the alternative solution chosen by the researcher is to redesign thehammer mill machine, especially on the blade and screen sections. The design is done using thereverse engineering method. There are five steps in designing using this method. In the study, it wasfound that the second design was a suitable design to be developed because it was better than theexisting state. The mill results were obtained with an average of 0.0343 mm and a grinding time of186.807 seconds. The fineness values and the grinding process time were obtained throughsimulations using the EDEM 2022.1 software.

Tensions in caring for chronic patients' medication adherence: A qualitative study in Cyprus.

Medication adherence (MA) to recommended treatment is a multi-faceted problem and an ongoing challenge for healthcare providers (HCPs) to monitor. This qualitative study with 10 HCPs in Cyprus aims to explore HCPs' perceptions and strategies used on addressing medication non-adherence (MNA) in patients with chronic conditions. Two main themes emerged from the analysis reflecting the ways that HCPs described their reactions to MNA of their patients: (1) "Relying on information provision to improve MA" and (2) "Trying to understand patients' perspective." HCPs reported empathizing with patients and engaging in discussions to understand patients' perspective and reasons for MNA, so as to explore alternative solutions. Simultaneously, some HCPs reflected that the techniques used to improve MA are solely centered around information on medication and side-effects. HCPs experienced an internal conflict between providing patient-centered care versus using directive approaches to improve MA. Findings suggest how HCPs could thoroughly address patients' individual barriers.

Holistic evaluation of energy transition technology investments using an integrated recommender system and artificial intelligence-based fuzzy decision-making approach

The most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selection. Therefore, a new study is needed to determine the most prominent issues in the correct selection of energy transition technologies. The purpose of this study is to identify the most appropriate energy transition technology alternative. Within this framework, a novel artificial intelligence (AI)-based fuzzy decision-making model has been presented. In the first part, the experts are prioritized by the help of AI methodology. In the next section, missing evaluations of energy transition technology investments are estimated via expert recommender system. Thirdly, the weights of the criteria for energy transition technology selection are computed by quantum picture fuzzy rough sets (QPFR) M-Stepwise Weight Assessment Ratio Analysis (SWARA). At the final stage, selected energy transition technology alternatives are ranked via QPFR-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The main contribution of this study is the integration of AI technique to the proposed model. Similar to this issue, using M-SWARA methodology in the process of criteria weighting increases the quality of the findings. This methodology helps to consider the impact relation map of the criteria. The findings demonstrate that the most important factor is cost-effectiveness of energy transition. Similarly, it is also found that the local ecosystem is the second most significant issue. On the other side, the ranking results denote that compact renewable systems for small scale production is the most optimal solution of energy transition technology alternatives.

Az állami és nem állami szereplők újragondolt szerepe a biztonság megteremtésében és fenntartásában.

Összefoglalás. A KDP keretén belül végzett kutatómunkám fókuszában a biztonság megteremtése és fenntartása állami és nem állami szereplői tevékenységének jelenkori állapotanalízise, a komplementer rendészeti szereplők rendészeti szerveket tehermentesítő, nemzetgazdasági szempontból is meghatározó jelentőségű vizsgálata áll. Jelen tanulmányomban az ezzel megegyező tartalmú PhD-kutatásom eredményeiről számolok be, kutatási jelentés formájában. Summary. The focus of my research within the framework of the KDP is the analysis of the current state of the activities of state and non-state actors in the creation and maintenance of security, and the analysis of the role of complementary law enforcement actors in relieving the burden on law enforcement agencies, which is of crucial importance from a national economic point of view. In this paper I report the results of my PhD research with the same content in the form of a research report. I will point out that law enforcement, and thus the state actors in the creation of our security, and in particular the activities of the police, have been and are being dealt with in many different ways. However, only a small number of police researchers have focused their attention on non-state actors in the field of security, on the specialised bodies and ‘peripheries’ of policing, and on the use of methods other than those that might be called traditional policing. The joint work of state and non-state actors, the complementary and mutually reinforcing role of the police in creating and maintaining our common security, and the possibility of rethinking the respective roles are also areas that have been little researched. My PhD research seeks to fill this gap, bearing in mind the fact that law enforcement practitioners expect the Doctoral School of Police Studies to provide recommendations for applied research that can be used in everyday practice. In my gap-filling research, I will explore my research questions and hypotheses in an unconventional way by drawing on what I consider to be relevant, almost half a thousand domestic and foreign source materials, personal interviews, study trips and the experience of an expert survey. I will reflect on the significance of private security research and then move back in time to examine the development of the concept of policing over time. I will juxtapose key ideas from works that are perhaps little known to many, but which are still of great scientific value today. In a comparative analysis of state and non-state actors in the field of security, I will present the actors of complementary policing, the ‘stepchildren of policing’, and I will focus on the experience of the domestic organisation of a major sporting event, EURO2020, which attracts large crowds. Internationally, I will look at the development of the public and private security sectors in Estonia, Mexico, South Africa, Australia, Bulgaria, England and Canada, and the activities of private military companies. On the basis of all these research experiences, I will interpret the functioning of the security industry, the value added by private security and thus the new structure of policing in the light of the “Security Rethought” questionnaire survey. Based on my research, I will attempt to unpack and explain the mechanisms of the relationship between state and non-state actors in the creation and maintenance of security. By interpreting the path to date and suggesting a possible future, I try to combine an academic approach with the knowledge that emerges from the work of practitioners. Emphasising the scientific need for change and improvement, and the fusion of dogmatics and practice, I seek, in the framework of this research, to address some of the issues that I consider controversial and, as a result of this confrontation, to stimulate further research and the development of alternative solutions for those who are open to the development of the emerging science of policing, by setting out the legislative and theoretical problems of the subject.

MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices.

Although neural supersampling has achieved great success in various applications for improving image quality, it is still difficult to apply it to a wide range of real-time rendering applications due to the high computational power demand. Most existing methods are computationally expensive and require high-performance hardware, preventing their use on platforms with limited hardware, such as smartphones. To this end, we propose a new supersampling framework for real-time rendering applications to reconstruct a high-quality image out of a low-resolution one, which is sufficiently lightweight to run on smartphones within a real-time budget. Our model takes as input the renderer-generated low resolution content and produces high resolution and anti-aliased results. To maximize sampling efficiency, we propose using an alternate sub-pixel sample pattern during the rasterization process. This allows us to create a relatively small reconstruction model while maintaining high image quality. By accumulating new samples into a high-resolution history buffer, an efficient history check and re-usage scheme is introduced to improve temporal stability. To our knowledge, this is the first research in pushing real-time neural supersampling on mobile devices. Due to the absence of training data, we present a new dataset containing 57 training and test sequences from three game scenes. Furthermore, based on the rendered motion vectors and a visual perception study, we introduce a new metric called inter-frame structural similarity (IF-SSIM) to quantitatively measure the temporal stability of rendered videos. Extensive evaluations demonstrate that our supersampling model outperforms existing or alternative solutions in both performance and temporal stability.

Privacy and Robustness in Federated Learning: Attacks and Defenses.

As data are increasingly being stored in different silos and societies becoming more aware of data privacy issues, the traditional centralized training of artificial intelligence (AI) models is facing efficiency and privacy challenges. Recently, federated learning (FL) has emerged as an alternative solution and continues to thrive in this new reality. Existing FL protocol designs have been shown to be vulnerable to adversaries within or outside of the system, compromising data privacy and system robustness. Besides training powerful global models, it is of paramount importance to design FL systems that have privacy guarantees and are resistant to different types of adversaries. In this article, we conduct a comprehensive survey on privacy and robustness in FL over the past five years. Through a concise introduction to the concept of FL and a unique taxonomy covering: 1) threat models; 2) privacy attacks and defenses; and 3) poisoning attacks and defenses, we provide an accessible review of this important topic. We highlight the intuitions, key techniques, and fundamental assumptions adopted by various attacks and defenses. Finally, we discuss promising future research directions toward robust and privacy-preserving FL, and their interplays with the multidisciplinary goals of FL.

Multifrequency Ultrasound-Based Predictive Method for Biodiesel Production

Fossil fuel price continuous growth invites to look for alternative solutions to fuel for internal combustion engines. One of the most accepted options is biodiesel. In the present study, the multifrequency ultrasound-assisted synthesis of Sinapis alba oil biodiesel has been tested. For this purpose, an ultrasonic probe working at 20 kHz and an ultrasonic reactor with interchangeable transducers of discrete frequencies (195 kHz, 578 kHz, 861 kHz and 1136 kHz) have been used. For the probe, a multi-response optimisation has been carried out, setting methanol-to-oil molar ratio at 5.5:1. Optimal results were provided by 1.42 percentage weight (wt%) of catalyst after approx. 10 min of ultrasonication. In case of transducers, oil-to-biodiesel conversion needed an ultrasonication time of 15 min. Overall, when ultrasound frequency increases, oil-to-biodiesel conversion slightly improves. In conclusion, this work provides a predictive method to produce biodiesel under ultrasonication conditions, at different frequencies, in batch mode. Resulting biodiesel meets European standard requirements.

Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning.

In this article, a unified multiview subspace learning model, called partial tubal nuclear norm-regularized multiview subspace learning (PTN2MSL), was proposed for unsupervised multiview subspace clustering (MVSC), semisupervised MVSC, and multiview dimension reduction. Unlike most of the existing methods which treat the above three related tasks independently, PTN2MSL integrates the projection learning and the low-rank tensor representation to promote each other and mine their underlying correlations. Moreover, instead of minimizing the tensor nuclear norm which treats all singular values equally and neglects their differences, PTN2MSL develops the partial tubal nuclear norm (PTNN) as a better alternative solution by minimizing the partial sum of tubal singular values. The PTN2MSL method was applied to the above three multiview subspace learning tasks. It demonstrated that these tasks organically benefited from each other and PTN2MSL has achieved better performance in comparison to state-of-the-art methods.

New Design of A Micro-Hydro Power Plant (MHPP) System In The 3T Region As Al-ternative Solution Unit Turbine Using Computational Fluid Dynamics (CFD) Simulation

New Design of A Micro-Hydro Power Plant (MHPP) System In The 3T Region As Al-ternative Solution Unit Turbine Using Computational Fluid Dynamics (CFD) Simulation

A Novel Federated Learning Scheme for Generative Adversarial Networks

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented opportunity to develop GANs applications. However, due to the constraints such as bandwidth, privacy, and legal issues, it is inappropriate to collect and send all data to the cloud or servers for analysis, training, and mining. Thus, deploying and training GANs at the edge becomes a promising alternative solution. The instability of GANs introduced by non-independent and identical data (Non-IID) poses significant challenges to training GANs. To address these challenges, this paper presents a novel federated learning framework for GANs, namely, <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</u> ollaborated g <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</u> me <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</u> arallel Learning (CAP). CAP supports parallel training of data and models for GANs, breaking the isolated training among generators that exists in the previous distributed algorithms, and achieving collaborative learning among cloud, edge servers, and devices. Then, to further enhance the ability of CAP-GAN for addressing Non-IID issues, we propose a Mix-Generator module (Mix-G) which divides a generator into the sharing layer and personalizing layer. The Mix-G module extracts the generic and personalization features and improves the performance of CAP-GAN on extremely personalizing datasets. Experimental results and analysis substantiate the usefulness and superiority of our proposed CAP-GAN scheme which can achieve better results in the Non-IID scenarios compared with the state-of-the-art algorithms.

Out of hospital cardiac arrest, first steps to know and follow in Mexico to have cardioprotected territories. A point of view of a group of experts.

Sudden cardiac death is a common occurrence. Out-of-hospital cardiac arrest is a global public health problem suffered by ≈3.8 million people annually. Progress has been made in the knowledge of this disease, its prevention, and treatment; however, most events occur in people without a previous diagnosis of heart disease. Due to its multifactorial and complex nature, it represents a challenge in public health, so it led us to work in a consensus to achieve the implementation of cardioprotected areas in Mexico as a priority mechanism to treat these events. Public access cardiopulmonary resuscitation (CPR) and early defibrillation require training of non-medical personnel, who are usually the first responders in the chain of survival. They should be able to establish a basic and efficient CPR and use of the automatic external defibrillator (AED) until the emergency services arrive at the scene of the incident. Some of the current problems in Mexico and alternative solutions for them are addressed in the present work.

Implementasi Diversi terhadap Anak yang Berkonflik

The protection and welfare of children in the criminal justice system is the main focus of efforts to find alternative solutions that do not involve children in formal legal processes, such as imprisonment, which can have a negative impact on their development. Law No. 11/2012 on Juvenile Criminal Justice System (SPPA Law) implements the concept of restorative justice through a diversion system. This study aims to understand the regulation of diversion under the SPPA Law and how it is implemented in the Batam District Court in handling children involved in legal problems. The research method used is empirical juridical. The implementation of diversion in Batam District Court aims to achieve restorative justice which emphasizes on recovery, providing opportunities, and children's awareness of their mistakes. The goal is to ensure children's growth and development rights are guaranteed by law. Although the implementation of diversion in Batam District Court is in accordance with the provisions of the SPPA Law, there are obstacles that make it less effective. From 2019 to 2022, 18 cases were eligible for diversion, but only 4 cases were successfully resolved using this method, while 14 other cases failed due to various obstacles and constraints accompanying its implementation.

European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

To improve energy and environmental security in urban environments and in accordance with the requirements of the EU, the task of sustainable developing agriculture in urban agglomerations and monitoring it using satellite images becomes relevant. The aim of the work is the development of methods and means for determining stable islands of thermal energy to substantiate the optimal locations for plant growing practices in the metropolis. The research was conducted in Kyiv, the largest metropolis of Ukraine. Data from the Landsat 8 and 9 satellites were used because of the free data and they have better spatial resolution and an available archive of observation results. It was established that the temperature map of the city of Kyiv shows differences in temperature between different parts of the city, probably due to the presence of different sources of heat radiation. It is obvious that the standard deviation of the temperature in the plots depends on many factors, in particular, the season and the type of land use. It is necessary to find alternative solutions for the development of crop production in this area, taking into account the characteristics of thermal emissions. Based on software products from free satellite monitoring providers, EO Browser, a specialized software solution (web application) has been created for monitoring agricultural plantations in an urban environment. A collection of LANDSAT 8 satellite images was used. Areas with stable heat emissions were found, which are due to the operation of a modern shopping and entertainment center, and non-traditional crops for landscaping adapted to its design are proposed. As a result of research, strong heat emissions were recorded for some objects, for them the temperature exceeds the surrounding area by 4 °C, while the minimum standard deviation in January is 0.5 °C, the maximum in July is 2.8 °C, in April and October—1.7 °C and 1.2 °C, respectively.

Reframing videotelephony through coexistence and empathy in the third space

ABSTRACT Predicated on the telephone, the history of videotelephony has continually adopted a two-way model of communication between ‘newsreader’ participants, confined to boxes on a screen. This article identifies philosophical approaches and practical solutions to overcome this ‘horseless-carriage’ syndrome using a phenomenological methodology to reframe the concept of videotelephony as a third space encounter through the author’s telematic art practice. By reflecting on audience participation in the Installations Telematic Dreaming (1992) and Telematic Vision (1993) participants interact through a third-person self-image and transcend their physical vulnerabilities and self-conscious inhibitions to engage and identify through coexistence and empathy. These observations draw on analogies between Martin Heidegger’s ‘hammer’ and the television screen, and Maurice Merleau-Ponty’s ‘extension of bodily synthesis’ and the telepresent image of self. By drawing on these phenomenological approaches, the author’s AHRC research project Telepresence Stage (2022) responded to the mass entrapment of two-way videoconference apps during the COVID-19 lockdown, and the inevitable Zoom fatigue, to provide alternative fit-for-purpose telepresence solutions for the performing arts sector. The project exposes the flaws and misconceptions of conventional videotelephony by employing open-source resources and practical green-screen techniques to embody a shared third space between remote performers, arriving at alternative telepresence solutions for future coexistence.

Light-Activatable Photocaged UNC2025 for Triggering TAM Kinase Inhibition in Bladder Cancer.

Photopharmacology is an emerging field that utilizes photo-responsive molecules to enable control over the activity of a drug using light. The aim is to limit the therapeutic action of a drug at the level of diseased tissues and organs. Considering the well-known implications of protein kinases in cancer and the therapeutic issues associated with protein kinase inhibitors, the photopharmacology is seen as an innovative and alternative solution with great potential in oncology. In this context, we developed the first photocaged TAM kinase inhibitors based on UNC2025, a first-in-class small molecule kinase inhibitor. These prodrugs showed good stability in biologically relevant buffer and rapid photorelease of the photoremovable protecting group upon UV-light irradiation (<10 min.). These light-activatable prodrugs led to a 16-fold decrease to a complete loss of kinase inhibition, depending on the protein and the position at which the coumarin-type phototrigger was introduced. The most promising candidate was the N,O-dicaged compound, showing the superiority of having two photolabile protecting groups on UNC2025 for being entirely inactive on TAM kinases. Under UV-light irradiation, the N,O-dicaged compound recovered its inhibitory potency in enzymatic assays and displayed excellent antiproliferative activity in RT112 cell lines.

Branislav Radeljić and Carlos González-Villa: Researching Yugoslavia and its Aftermath. Sources, Prejudices and Alternative Solutions

Branislav Radeljić and Carlos González-Villa: <i>Researching Yugoslavia and its Aftermath. Sources, Prejudices and Alternative Solutions</i>

A Comprehensive Performance Evaluation of GGBS-Based Geopolymer Concrete Activated by a Rice Husk Ash-Synthesised Sodium Silicate Solution and Sodium Hydroxide

Commercial sodium hydroxide (NaOH) and sodium silicate (SS) are commonly used as alkaline activators in geopolymer concrete production despite concerns about their availability and associated CO2 emissions. This study employs an alternative alkaline activator (AA) synthesized from a sodium silicate alternative (SSA) solution derived from rice husk ash (RHA) and a 10 M sodium hydroxide solution. The initial phase established an optimal water-to-binder (W/B) ratio of 0.50, balancing workability and structural performance. Subsequent investigations explored the influence of the alkali/precursor (A/P) ratio on geopolymer concrete properties. A control mix uses ordinary Portland cement (OPC), while ground granulated blast-furnace slag (GGBS)-based geopolymer concrete—GPC mixes (GPC1, GPC2, GPC3, GPC4) vary the A/P ratios (0.2, 0.4, 0.6, 0.8) with a 1:1 ratio of sodium silicate to sodium hydroxide (SS: SH). The engineering performance was evaluated through a slump test, and unconfined compressive strength (UCS) and tensile splitting (TS) tests in accordance with the appropriate standards. The geopolymer mixes, excluding GPC3, offer suitable workability; UCS and TS, though lower than the control mix, peak at an A/P ratio of 0.4. Despite lower mechanical strength than OPC, geopolymers’ environmental benefits make them a valuable alternative. GPC2, with a 0.4 A/P ratio and 0.5 W/B (water to binder) ratio, is recommended for balanced workability and structural performance. Future research should focus on enhancing the mechanical properties of geopolymer concrete for sustainable, high-performance mixtures.

Implementation of the AHP Method in Determining the Completion of Logistics Warehouse Stock Buildup Using the Expert Choice Application

The development of logistics services that are increasing has caused an increase in customers of PT. Astrans Putra Logistik also increased, this resulted in the logistics warehouse capacity experiencing a buildup of goods that almost filled the warehouse capacity which made operational activities disrupted, and many complaints from customers. Resolution to overcome this warehouse problem needs to be done so that the company’s operational efficiency is not disrupted and warehouse stock capacity becomes better. This study aims to find out the best solution of warehouse problems that occur through a decision making support system design using the AHP method assisted by the use of the Expert Choice 11 application. In making this decision, 4 stages are carried out, namely Intelligence, Design, Choice, and Analysis of Assessment Result which in the process have a 4 kinds of criteria and 4 kinds of alternative solutions. From the calculation of the AHP method assisted by the use of the Expert Choice 11 application, the weight of each criterion was obtained, namely Increased Operational Efficiency getting a weight of 0,259, Number of Items that can be Accommodated getting a weight of 0,086, Company Income getting a weight of 0,495, and Company Expense getting a weight of 0,160. From the calculation of alternative settlements, it was also found that The Addition of a New Departure Fleet got a weight of 0,385, The Construction of Branch Goods Warehouse got a weight of 0,279, Upgrading Small Trucks to Large Trucks got a weight of 0,187, and The Application of a Pre-order system for customers got a weight of 0,149.

Is Africa Ready to Use Phycoremediation to Treat Domestic Wastewater as an Alternative Natural Base Solution? A Case Study

This review outlines the potential of phycoremediation as a natural, cost-effective solution for domestic wastewater treatment in Africa, particularly focusing on its application in less densely populated and rural areas. The urgency of improving sanitation access, a key objective in both the Millennium Development Goals (2000–2015) and the Sustainable Development Goals (2015–2030), is underscored by the fact that half of Africa’s population suffers from diseases linked to inadequate water and sanitation facilities. South Africa, a focal point of this study, faces significant challenges in wastewater management. These include the limited capacity of wastewater treatment plants to handle the burgeoning wastewater volumes due to population growth, unregulated discharges causing fluctuating pollution levels, and high operational costs leading to improper sludge disposal and odor issues. Compounding these problems are frequent power outages, financial constraints impacting wastewater treatment plant operations and maintenance across Africa, and a lack of skilled personnel to manage these facilities.

Light Fidelity-based Home Automation System with Arduino

Arduino based home automation system is envisage in this work using the principle of light fidelity. Light Fidelity (Li-Fi) is the fastest means of wireless communication which uses visible light to transmit data/signals between devices and is one such concept that is gaining momentum to become the possible alternative solution for overcoming the crowded radio spectrum for wireless communication system. In this paper a simple prototype of arduino Li-Fi based transmitter and receiver was designed and implemented. The Arduino transmitter processes and sends out visible light signal emitted from white LED bulb when a functional pushbutton is pressed and the arduino receiver receives and process the signal and acts to switch ON or OFF the connected household appliances. The system was made using readily available materials and the transmitter and receiver can communicate up to a maximum distance of 41cm.