bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation graphic protocol for assessing safe nursing care in hemodialysis
Authors: Paiva Renilly de Melo , Chiavone Flávia Barreto Tavares , Bezerril Manaces dos Santos , Dantas Marianny Nayara Paiva , Azevedo Isabelle Campos de , Oliveira Adriana Catarina de Souza , Ferreira Júnior Marcos Antonio , Santos Viviane Euzébia Pereira
Published: March 2024

Objective: To validate the content and appearance of a graphic protocol for evaluating safe nursing care for hemodialysis patients.

Methods: Methodological study with a quantitative approach, organized into three procedures: theoretical from a Scoping Review; empirical in which the process of constructing the graphic protocol and checklist for the evaluation of safe care took place; finally, the analytics for the validation itself using the Delphi technique and the participation of nine expert judges in two rounds to reach agreement.

Results: The checklist and the graphic protocol were elaborated. As for content validity in Delphi I, three criteria obtained Content Validity Coefficient =0.77 in the checklist. In what corresponds to Delphi II, 80% was achieved in all items regarding the Content Validity Coefficient, all indices were above 0.80. Appearance validation took place using criteria of the Suitability Assessment of Materials in Delphi I, it was possible to achieve a total Content Validity Coefficient greater than 0.80 in all, while in Delphi II the protocols reached agreement greater than 80% and Content Validity Coefficient greater than 0.88, since the checklist showed a higher Content Validity Coefficient with 0.91.

Conclusion: The graphic protocol and checklist for evaluating safe care for hemodialysis patients are presented, valid in their content and appearance.
Socioeconomic, clinical and nutritional factors on interdialytic weight gain in haemodialysis users
Authors: Zanandreia Mary , Cattafesta Monica , Martins Cleodice Alves , Paixão Mirian Patrícia Castro Pereira , Soares Fabíola Lacerda Pires , Peterle Fernanda Zobole , Santos Neto Edson Theodoro Dos , Salaroli Luciane Bresciani
Published: March 2024

Objectives: The study aimed to evaluate the factors associated with interdialytic weight gain in users of haemodialysis services in a metropolitan region of Brazil.

Methods: This is an cross-sectional epidemiological study with 1,024 individuals with chronic kidney disease on haemodialysis in Brazil. Interdialytic weight gain was evaluated by the percentage weight gain between one haemodialysis session and another. The variables included in the binary logistic regression analysis were selected by considering p< 0.10 in the bivariate test.

Results: We demonstrated that having more years of study (OR=0.537;CI 95% = 0.310–0.931; p=0.027) and be overweight (OR=0.661;CI 95% = 0.461–0.948; p=0.024) or obese (OR=0.387;CI 95% = 0.246–0.608; p=<0.001) reduced the chances of users having high interdialytic weight gain. Those who did not have paid work (OR=2.025;CI 95% = 1.218–3.365; p=0.007) and not adopting measures to reduce salt increased (OR=1.694;CI 95% = 1.085–2.645; p=0.020) increased the chances of interdialytic weight.

Conclusion: The results point to an association between the increase in interdialytic weight gain and the absence of paid work and the non-adoption of measures to reduce salt intake in the diet. Therefore, the need for knowledge about these associated factors can be an important alternative for the individual targeting of this population.
Violence against brown and black women during the pandemic: a scoping review
Authors: Souza Nascione Ramos , Hino Paula , Taminato Mônica , Okuno Meiry Fernanda Pinto , Gogovor Amedé , Fernandes Hugo
Published: March 2024

Objective: To map and summarize the main available evidence on intimate partner violence against brown and black women during the COVID-19 pandemic.

Methods: This is a scoping review carried out in the National Library of Medicine, Cumulative Index to Nursing and Allied Health Literature, Web of Science, Excerpa Medica DataBASE, PsycINFO – APA PsycNET and Latin American and Caribbean Literature in Health Sciences databases. Studies on interpersonal violence against brown and black women after the COVID-19 pandemic decree, perpetrated by an intimate partner, published from 2020 onwards in Portuguese, Spanish or English, were included. Editorials, response letters, retractions and studies focused on self-inflicted violence were excluded. Descriptive analysis was carried out.

Results: A total of 26 studies were obtained, and after selection, a sample of eight articles was obtained, published between 2020 and 2022. The results showed mostly North American studies, however, they pointed to intimate partner violence against brown and black women as a global phenomenon during the pandemic. The victims presented multiple conditions of vulnerability and encountered several barriers to accessing health and public safety services, including racism. Prevention and control measures were scarce and had consequences for women’s overall health.

Conclusion: The phenomenon was characterized as a global problem during the COVID-19 pandemic. Individual, collective and political coping strategies were created by the victims. Public policies to prevent and control intimate partner violence were not adequately implemented in many countries during the pandemic.
Assessment of Physical activities among University Students during Covid-19 Pandemic
Authors: Mangi Dr. Autif Hussain , Khan Fahim Ullah , Zaman Laiq
Published: March 2024

BACKGROUND & OBJECTIVE: The COVID-19 pandemic has affected the physical activity of people including university students. This study aimed to assess the physical activity of university students of Hyderabad and its adjoining areas during the peak time of the COVID-19 pandemic.

METHODOLOGY: This cross-sectional study was conducted during the peak period of COVID-19 among 232 university students belonging to the University of Sindh who came from Hyderabad and its adjoining areas. The samples were collected via a simple random sampling method. The physical activity of male and female university students was compared and calculated by using SPSS software version 21 and MS Office 365. The significance level among groups was determined by applying a Chi-square test whereas the pre and post-responses were calculated by applying McNemar’s test. The  P-Value of < 0.05 was set as statistically significant.

RESULTS: About 68.96% of females and 51.72% of male university students did not go for walking whereas 91.38% of females and 65.52% of males did not even prefer jogging activity. The results from McNemar’s Test Statistics about pre- and post-COVID-19 physical activity suggested that the walkers and non-walkers’ group had a significant change (x2=60.016, p<0.001), and the jogging and non-jogging group had also a significant difference (x2=113.009, p<0.001). The weight of university students before and after COVID-19 was significantly different (x2=30.414, p<0.05).

CONCLUSION: The university students performed less than usual physical activity and mostly preferred a sedentary lifestyle during the period of the COVID-19 pandemic
Effects of selective laser melting process parameters on 3D-printing of Ti6Al4V/ST316L composite material and their optimization using response surface methodology
Authors: Ismaeel Marwa M. , Al-Dergazly Anwaar A. , AbdulKareem Samah K. , Al-Jaburi Khider
Published: March 2024

The mechanical properties of Ti6Al4V and ST316L bone implants make them superior to natural bone, which results in fewer contact points with the bone. Different manufacturing processes, such as selective laser melting (SLM), may result in different mechanical properties between Ti-6Al-4V and ST316L implants. Sustainable development for the composite implants was optimized (SLM) in this study to minimize their compressive strength and Young's modulus. A three-dimensional printing process using SLM was optimized based on laser power, hatch distance, laser velocity, and ST316L weight percentage. Composite implants made from titanium alloys and steel alloys were evaluated using response surface methodology (RSM). ST316L composition has been found to influence the mechanical properties of composites in a significant manner, based on the results of parameter optimization. Using Ti6Al4V/ST316L as a biomaterial in knee joint prostheses is possible.
LETRAMENTO CIENTÍFICO NA PÓS-GRADUAÇÃO LATO SENSU: UMA ANÁLISE A PARTIR DAS PRÁTICAS DOS PÓS-GRADUANDOS
Authors: Silva João Batista Oliveira da , Santaiana Rochele da Silva , Silva Veronice Camargo da , Silva Paula Terezinha Oliveira da
Published: March 2024

O presente artigo teve como objetivo analisar até que ponto as atividades de leitura e escritadesenvolvidas pelos acadêmicos do curso de Gestão do Currículo na Formação Docente contribuiu para o letramento científico na vida particular e profissional destes egressos. Desta forma, o tema surgiu por se entender que há necessidade de elencar a importância da prática do letramento com o intuito de identificar o diferencial que a pós-graduação pode fazer na qualidade do ensino. A base bibliográfica esta alicerçada em autores como Faria (2009), Ferreira (2018), Silva (2015) e Lea & Street(2006). A pesquisa foi realizada no ano de 2018, a partir da coleta de dados através de questionário específico, utilizando uma abordagem qualitativa junto aos acadêmicos da pós-graduação de uma universidade pública de uma cidade da fronteira oeste do Rio Grande do Sul. Os resultados apontaram que as práticas de leitura e escrita durante o curso de especialização puderam contribuirsignificativamente aos profissionais da educação. Também se constatou que os mesmos passaram a efetivar uma melhor apropriação da leitura e da escrita científica, conduzindo-os ao desenvolvimento de uma criticidade contextualizada e propiciando maior interação com o mundo letrado.
DIALÉTICA DA EDUCAÇÃO EM CONTEXTOS DE AUTORITARISMO: UMA ANÁLISE FILOSÓFICO-EDUCACIONAL DAS CRISES SISTÊMICAS E DO PODER DO DISCURSO, SEGUNDO T. ADORNO E P. FREIRE
Authors: VIANA JUNIOR Carlos José , VIANA Bruna Carla Leite
Published: March 2024

Objetivo: Este estudo almeja elucidar as intersecções entre autoritarismo e educação, centrando-se na análise das raízes e implicações do autoritarismo em sociedades democráticas, sob a ótica da linguagem, literatura e cultura. As metas específicas incluem: 1. Explorar o autoritarismo e suas raízes sociais, com ênfase no discurso; 2. Examinar as estratégias autoritárias em tempos de crise e sua influência na política e educação; 3. Investigar a relação entre autoritarismo, indústria cultural e poder econômico, e seu impacto na formação discursiva pedagógica e sociocultural. Métodos: Adotou-se uma abordagem teórica, fundamentada na teoria crítica de Frankfurt, na psicologia social crítica e Pedagogia Crítica. A análise é embasada nas obras de Theodor Adorno, abarcando textos filosóficos, políticos e sociológicos, bom como nos textos de Paulo Freire e sua abordagem crítica e emancipadora na educação. A pesquisa é delineada por uma investigação qualitativa, com análise de conteúdo de discursos políticos e educacionais em contextos de crise, com enfoque no período de 2007 em diante. Resultados: Os achados indicam que o autoritarismo, embora multifacetado, frequentemente se manifesta através de práticas políticas-educacionais e discursivas que promovem desigualdade e divisão e o encarceramento cognitivo das massas. As crises sistêmicas e econômicas emergem como catalisadores deste fenômeno, influenciando diretamente a linguagem, a literatura e a cultura em contextos educacionais, sociais e regionais. Além disso, a indústria cultural e o poder econômico são identificados como elementos centrais na perpetuação de estratégias autoritárias no ambiente educacional com base e cívico como fim. Conclusão: Conclui-se que o autoritarismo é um processo complexo e multifatorial, com implicações significativas nas sociedades democráticas, em especial em setores de educação que são as raízes das novas gerações. As crises sistêmicas e econômicas não apenas favorecem seu surgimento, mas também moldam a maneira como o autoritarismo se infiltra na linguagem, na literatura e na cultura educacional. Assim, reconhece-se a necessidade de um escrutínio constante das práticas educacionais e políticas para salvaguardar os valores democráticos e promover uma educação inclusiva e equitativa, bem como uma sociedade regida pela moralidade e virtude.
Synthesis of Hydrochars via Hydrothermal Carbonization of Zinc Chloride Activated Cotton Textile Waste
Authors: Ahmad Ikhwan Muaz Abd Rahman  , Nur Alwani Ali Bashah  , Wan Zuraida Wan Kamis  , Norain Isa  , Mohamed Syazwan Osman  , Vicinisvarri Inderan  , Moses Aderemi Olutoye  , Azam Taufik Mohd Din
Published: March 2024

Anthropogenic pollution from fossil fuel combustion due to increasing global populations and emerging industries poses a serious threat to the environment. Therefore, it is vital to explore alternative green energy sources. Hence, this study synthesized renewable solid fuel hydrochars by utilizing biomass of cotton textile waste (CTW) as feedstock. ZnCl2 was selected as a catalyst due to its Lewis acid properties promoting hydrolysis and dehydration of raw materials towards hydrochar formation. The ZnCl2-activated cotton textile waste (ZnCl2-CTW) was prepared via the wet impregnation method at different ZnCl2 loading. The hydrochars were synthesized via hydrothermal carbonization of ZnCl2-CTW in a Parr batch reactor at the reaction temperature of 200 °C for 3 h. The hydrochars and CTW were characterized using a thermogravimetric analyser (TGA) to evaluate the proximate analysis, whereas an elemental analysis and determination of higher heating value (HHV) were conducted employing a CHNS analyser. The proximate analysis indicates the hydrochars volatile matter increases at higher catalyst loading, possibly due to the high content of bio-oil adsorbed on the hydrochars surface. The elemental analysis shows higher carbon and lower oxygen content for hydrochars compared to CTW, mainly due to the dehydration, decarboxylation, and aromatization reactions during HTC. Meanwhile, the HHV of hydrochars increases as catalyst loading increases to 1.5 g, which obtained the highest value of 18.41 MJ/kg, indicating good quality of solid fuel. This demonstrated that the ZnCl2 catalyst was useful in improving the energy density of hydrochars. Overall, ZnCl2 catalyst loading of 1.5 g has exhibited good performance in producing hydrochars via HTC of CTW. Thus, ZnCl2-CTW has the potential to produce hydrochar suitable as solid fuel, contributing to the conversion of waste into energy and the preservation of the environmental.
Mechanisms of Diffusion thermo and Thermal diffusion on MHD Mixed Convection Flow of Casson fluid over a vertical cone with porous material in the presence of thermophoresis and a Brownian motion
Authors: Ravikiran Chintalapudi  , Halesh Koti  , B Shashidar Reddy  , K Saritha
Published: March 2024

In this present article, we analyzed the Effects of Diffusion thermo and Thermal Diffusion on magnetohydrodynamic (MHD) mixed convection flow for Casson nanofluid is deliberated a vertical cone with porous material. The modeled equations are transformed into a set of non-linear ODEs by employing similar transformable variables. These equations are then solved numerically using the shooting method, through the fourth-order Runge–Kutta integration procedure. Effects of some prominent physical parameters, such as diffusion thermo, Prandtl number, thermophoresis parameter, and magnetic parameter on the velocity, temperature, and concentration profiles are discussed graphically and numerically. Numerical calculations and graphs are used to illustrate the important features of the solution on fluid flow velocity, heat, and mass transfer characteristics under different quantities of parametric circumstances entering into the problem. Moreover, we computed the physical variables such as the coefficient of shear stress, rate of heat, and mass transfer. To establish the veracity of our present results, we compared them to previously published research and found substantial concordance.
Impact of Biomass Fuel Feeding Ratio in Co-firing Circulating Fluidized Bed Boiler: A Computational Fluid Dynamics Study
Authors: Sorathan Tanprasert  , Nuttima Rangton  , Warunee Nukkhong  , Pitakchon Wises  , Pornpote Piumsomboon  , Benjapon Chalermsinsuwan
Published: March 2024

Nowadays, our global population is on a notable rise, coupled with an annual surge in energy consumption. The prevailing reliance on fossil fuels, especially in electricity generation, has significantly contributed to environmental pollution and exacerbated global warming. The circulating fluidized bed, distinguished for its continuous operation and effective heat transfer in the combustion chamber, emerges as a prominent boiler type. Furthermore, the use of biomass fuel, recognized for its renewable and environmentally friendly characteristics, presents an attractive option. Hence, exploring a co-firing system incorporating both coal and biomass as fuel feeds for the boiler holds promise, necessitating optimization for efficient energy production and reduced gas emissions. This study employs computational fluid dynamics to simulate the intricate interactions of solid fuel and flue gas reactions within the boiler, utilizing the two-fluid method for multiphase flow simulation. The circulating fluidized bed boiler in focus employs subbituminous coal, woodchips as biomass sources, and sand as the bed material. Model validation against operational data, including bed temperature, flue gas velocity outlet, and carbon dioxide mass fraction, indicates minimal deviation. Examination of the biomass ratio's impact on fuel feed reveals a reduction in sulfur dioxide emissions with an increasing biomass ratio, attributed to the lower sulfur content in woodchips compared to coal. However, a heightened woodchip blending ratio results in diminished boiler efficiency due to the altered heating value of the mixed solid fuel. The optimized biomass-to-coal ratio in fuel feeding is determined as 59.15%, achieving a maximized boiler efficiency of 82.84% and minimized pollution gas emissions of sulfur oxide and nitrogen oxide in accordance with industrial standards.
Numerical Simulation of Pipeline Scour and Sedimentation around Submerged Pipelines with an Open-Source Multiphase-CFD Model
Authors: subiyanto  , Novan Tofany
Published: March 2024

This paper presents a comprehensive study on pipeline scour and sedimentation phenomena using an open-source multiphase Computational Fluid Dynamics (CFD) model. The research focuses on understanding the complex interactions between fluid flow, sediment transport, and scour formation around submerged pipelines. The proposed analysis aims to enhance the understanding of scour development and sedimentation deposition, which is crucial for the design, operation, and maintenance of various engineering structures, including offshore pipelines and underwater infrastructure. The results show that the model exhibits the ability to compute sediment transport without depending on traditional assumptions related to bed-load and suspended-load layers. The simulation results affirm the model's proficiency in replicating the underlying mechanisms accountable for the onset of these processes, notably seepage flow and piping. Furthermore, this model can successfully depict the vortex phenomenon, which promotes the accumulation of sediment around the pipe. This phenomenon arises from the contrast in pressure between the centre of the vortex and the pressure exerted on the sediment beneath it.
An Experimental and Numerical Study of the Effect of Microchannels Geometry on Heat Transfer of Nanofluids
Authors: Abbas Tuaima  , Ahmed J. Shkaraha  , Mohammed D. Salman
Published: March 2024

The use of micro-channel heat exchangers is widespread across a variety of different industrial sectors. This study presents both an experimental and a numerical analysis to compare the performance of four different designs of microchannel heat sinks. The study dealt with using pure water and nanofluid (Al2O3, CuO, and TiO2–H2O) with volumetric concentrations of (0.01- 0.03) as coolants. The software Comsol Multiphysics was employed for conducting numerical analysis in order to simulate and resolve the issue pertaining to fluid and heat flow in a three-dimensional domain. A constant heat flux of 170 kW/m2 is applied to the lower wall of the four microchannels. The simulations were exclusively conducted within the laminar regime, covering a range of Reynolds numbers spanning from 50 to 150. The impact on the temperature of the microchannel's wall, thermal resistance, pressure drop, and friction factor is demonstrated. Based on the results obtained, it is evident that the utilization of nanofluid in the cooling process of a wavy and zigzag microchannel heat sink yields superior performance in terms of both heat transfer and dissipation, as compared to the implementation of pure water as the cooling medium for the heat sink.
O Sujeito Dócil: Susan Buck-Morss e Byung-Chul Han Revisitados
Authors: Pereira Diogo Sílvia Catarina
Published: March 2024

A distância contemplativa permite fetichizar a literatura de costumes do século XIX. Nesta representam-se modos de estar burgueses cuja veneração da parte do leitor pode ser de um escapismo alienante. Este comportamento tem antecedentes, i. e. os fenómenos de alienação oitocentista, alguns encontrados nas obras de Alexandre Herculano, Eça de Queiroz e Mary Shelley. Vamos percorrer criticamente um conceito chave de matriz kantiana, a partir do estudo de Susan Buck-Morss, “Aesthetics and Anaesthetics: Walter Benjamin’s Artwork Essay Reconsidered”: a autogénese, um estado alienante do übermensch que procura racionalizar o mundo. Abordaremos a alienação de duas formas distintas, mas não incompatíveis: uma que actua interiormente, através de estupefacientes e outros depressores psicológicos, e outra que se manifesta exteriormente, como produções teatrais e outros dioramas de alienação em espaço social. Desde a taberna aos dioramas, o homem procura, através de ferramentas anestéticas, suavizar as penas do dia-a-dia. Esta predisposição mental retratada por Herculano e Queiroz e analisada em profundidade por Buck-Morss e Byung-Chul Han reposiciona as sensibilidades dos séculos XVIII e XIX numa linha que empurra o ser humano para o culto da sensação através de objectos anestéticos. Pretendemos assim fornecer uma panorâmica do estado de alienação oitocentista à luz do estudo de Buck-Morss e perceber como é que se actualiza nos quadros de interpretação da obra A Salvação do Belo, de Byung-Chul Han.
IDENTIFIKASI DAN MINIMASI WASTE PADA PROSES PRODUKSI KERIPIK PISANG KEJU DENGAN VALUE STREAM MAPPING DAN KAIZEN
Authors: Rasyid Abdul , Junus Stella , Ramadhani Indah , Uloli Hendra , Hasanuddin Hasanuddin
Published: March 2024

This study aims to determine the types of waste in the cheese banana chips production process at Flamboyan UKM and find out how to minimize waste in the production process. This study uses the lean manufacturing method in evaluating the formulation to identify and reduce waste that occurs in Flamboyan UKM. The results of this study are two wastes, namely waiting time where waiting activities occur in the stacking of finished products in the draining process with a time of 247.13 seconds and in the cooling process with a time of 251.77, and waste defects where there are cracked chips, charred chips and packaging processes that are not good , causing the chips to not be crispy. The conclusion of this research is to minimize waste wasting time by adding a spinner machine in the draining process, as well as for the cooling process to minimize waste waiting time for the chips to be separated into several containers. Furthermore, for waste defects, conduct training for employees and carry out product checks or checks. Suggestions for Flamboyan SMEs need training for employees to be more effective in carrying out good work and making continuous improvements in order to get good product results
Levelised hydrogen production costs for a standalone photovoltaic powered system in Australia
Authors: Shah Sheikh Khaleduzzaman , Aye Lu
Published: March 2024

This article presents an analysis of levelised costs of producing hydrogen via the photovoltaic electrolysis in Australia. Eight locations (Darwin, Alice Springs, Brisbane, Perth, Sydney, Mildura, Melbourne, and Hobart) covering six climate zones in Australia are selected for the analysis. They receive varying solar radiation to produce electricity by using photovoltaic systems. In the present work, a standalone photovoltaic electrolysis and hydrogen engine system for 69 kWhe of daily electricity used is studied. Photovoltaic system is designed based on the minimum average monthly solar irradiation received for each selected location. The required photovoltaic array sizes are determined at the optimal slopes of the solar panels. By using the electricity generated from the photovoltaic, hydrogen is generated in electrolyser. The levelised cost of hydrogen was determined and found to be AU$ 6.79-10.62 kg-1. The electrolyser cost was found to be 52-55% of the life cycle cost of the system. Therefore, the cost of an electrolyser is the determinant factor for the levelised hydrogen production cost.
Development and performance assessment of a hybrid solar cabinet dryer for fish drying
Authors: Reza Md. Selim , Hossain Md. Anowar
Published: March 2024

The fish products can be stored for longer period in dry condition, but most of the fresh fish in remote areas of our country are spoils due to lack of proper preservation. To overcome this problem, hybrid solar dryer can play an important role to make drying continuous during night and daytime also off sunshine hours. In this project, a hybrid solar cabinet dryer has been designed, constructed, and performance tested for fish drying. The dryer consists of a drying chamber, solar collector, two trays of dimensions (60×60) cm and paraffin wax as PCM. It also consists of photovoltaic cell modules, heating element, electric battery, and other electric equipment such as inlet and outlet fans. The dryer has been operated as both a solar energy dryer during normal sunny days and a hybrid solar dryer during cloudy days. Paraffin wax system inside drying chamber absorbed heat energy in Sunny time. At the same time the battery is charged from the solar system and therefore the water kept in the tank reaches a certain temperature by absorbing heat from nature, which provides heat by circulating the water inside the drying chamber during inclement weather. Electric fans are used at the inlet of the solar collector and outlet of the dryer to maintain adequate air flow inside the drying chamber. During the night and cloudy weather paraffin wax and heater system deliver heat to maintain the set temperature in drying chamber. The grain bed in the dryer is heated by air that comes from a separate solar collector, and at the same time, the drying cabinet collects solar energy directly through the transparent walls and roof. The dryer demonstrated the capacity to dry fish to an appropriate moisture level in a reasonable amount of time, and concurrently, it insured that the fish would be of high quality. The drying rate of hybrid solar dryers is evaluated on fresh fish and compared with solar dryers and sun drying under the same climatic conditions.
Ground Improvement - Selected Tunisian Case Histories
Authors: Ellouze Souhir , Mezni Nadia , Bouassida Mounir
Published: March 2024

This paper presents a detailed analysis of three Tunisian ground improvement case histories. The first case focuses on the cause of disorders that seriously affected the stability of an oil tank, initially built on a superficial soft clay layer improved by sand piles. Due to the underestimated length of sand piles, the oil tank operations stopped after non-admissible consolidation differential settlement. Retrofit solution using micropiles’ reinforcement revealed quite satisfactory to restart the functioning of the oil tank after fifteen years. The second case deals with the reinforcement of compressible silt sand layer by floating stone columns to reduce the long-term differential settlement of a gas storage facility. Recorded measurements during the follow-up of stage construction of the storage facility permitted the assessment of numerical predictions of the settlement of reinforced soil. The third case studies the stability of access ramps of an interchange in Tunis Centre. Built numerical plan strain modelling helped for the prediction of the behaviour of embankment access on improved Tunis soft soil by geodrains. Based on recorded settlements and horizontal displacements, followed the validation of computed consolidation settlement. Adoption of suitable parameters of hardening and soft soil modelling of the behaviour of Tunis soft clay is discussed.
'I was trapped in a cycle and had no choice': School mental health provision: casting a spurious veil over the real issues
Authors: Plews Claire
Published: March 2024

Governmental agendas to improve the emotional wellbeing of our children and young people (CYP) by providing more mental health support in education have gained more attention in recent years. This renewed focus comes in the aftermath of Covid-19 and is couched heavily in repairing the
mental health fallout from the pandemic. Whilst these initiatives are welcome and long overdue, the mental health of CYP has been worsening for decades; post-pandemic school refusal is at an all-time high, and governmental initiatives to ameliorate this are at best tokenistic, and at worst
cast a spurious veil over what might really be affecting the mental health of our CYP. The post-pandemic spotlight being shone on CYP absenteeism from education highlights learning losses as the burgeoning issue to be solved. This spotlight obscures what could be deemed larger looming
issues, such as the structural problems of an underfunded, high-stakes, exam-focused, rigid system where holistic care of young people is trumped by neoliberal competition. To turn away from considering these as contributing factors to the decline in our CYP's mental health is misguided. This
article critically considers these arguments with data from a recent co-designed study involving 16–20-year-old students at an English FE college. It foregrounds the voice of a young person, in keeping with the view that if the education system is to work for children and young people,
we need to listen to what is not currently working for them and act accordingly.
Joining the dots? Special education and alternative provision
Authors: Tomlinson Sally , Johnston Craig
Published: March 2024

The English mass state education system, developing over 150 years, has created subsystems for children and young people who had difficulty in functioning at or beyond 'mainstream' schooling, or whose behaviour was deemed inappropriate. While many descriptions and labels proliferated
in the education system, by 1981 children notionally had been categorised with 'special educational needs' (SEN) with disability added in 1995 (SEND) and/or were increasingly placed in what became alternative educational provisions (APs). By 2021, this dual subsystem was attempting to deal
with around one and a half million children, a majority still in mainstream schooling in what was considered to be inclusion, others designated as 'high needs', mainly within (expensive) segregated special schools or units, and other children were subject to temporary or permanent exclusions
from school. In March 2022, with a follow-up in 2023, the government, driven largely by financial considerations and a lack of oversight of existing provision, proposed that the expanding special educational needs and AP subsystems be formally linked. This article examines these emerging proposals
through an historical lens, and considers what these may mean for teachers, associated professionals and the children.
Personality and leadership style in generation z: A quantitative study in a higher education institution in Mexico
Authors: Ruiz Vázquez Marcela Haydée , Rodríguez González Francisco Gabriel , Trujillo Reyes Juana Cecilia
Published: March 2024

Purpose: The purpose of this study was to discern the combination of personality traits that most contribute to effective leadership styles in individuals belonging to Generation Z.Design/methodology/approach: We utilized a structural equation model to analyze data from 244 higher education students in Mexico. This approach allowed us to examine the relationship between personality traits, leadership styles, and perceived effectiveness.Findings: Our findings indicate that the transformational leadership style is the most impactful among Generation Z individuals. Furthermore, the personality traits of openness and conscientiousness emerged as the most influential in relation to effective leadership styles.Research limitations/implications: Despite valuable insights, limitations exist due to small sample size (n=244) from one institution, restricting generalizability. The cross-sectional nature provides a snapshot, not accounting for societal/technological shifts affecting Generation Z over time. Self-reported data may suffer from biases. The cultural context focuses solely on a Mexican educational setting. Future research calls for larger, more diverse samples across institutions/countries with longitudinal data to offer enhanced, nuanced understanding of evolving leadership and personality traits within Generation Z.Practical implications: Organizations could enhance effectiveness by fostering transformational leadership among Generation Z employees through coaching/training programs tailored for this cohort. Academically, business curricula would benefit from integrating insights on aligning leadership styles with inherent personality traits.Social Implications: Transformational leadership emergence within Generation Z may propagate leaders equipped to drive innovation, convey visionary goals, and evoke follower commitment to address pressing societal issues.Originality/value: To our knowledge, this study represents the first investigation within the Mexican context examining the interplay of personality traits, leadership styles, and effectiveness among Generation Z individuals.
Ensuring data integrity in deep learning-assisted IoT-Cloud environments: Blockchain-assisted data edge verification with consensus algorithms
Authors: Alruwaili Fahad F.
Published: March 2024

Ensuring the reliability and trustworthiness of massive IoT-generated data processed in cloud-based systems is paramount for data integrity in IoT-Cloud platforms. The integration of Blockchain (BC) technology, particularly through BC-assisted data Edge Verification combined with a consensus system, utilizes BC's decentralized and immutable nature to secure data at the IoT network's edge. BC has garnered attention across diverse domains like smart agriculture, intellectual property, and finance, where its security features complement technologies such as SDN, AI, and IoT. The choice of a consensus algorithm in BC plays a crucial role and significantly impacts the overall effectiveness of BC solutions, with considerations including PBFT, PoW, PoS, and Ripple in recent years. In this study, I developed a Football Game Algorithm with Deep learning-based Data Edge Verification with a Consensus Approach (FGADL-DEVCA) for BC assisted IoT-cloud platforms. The major drive of the FGADL-DEVCA algorithm was to incorporate BC technology to enable security in the IoT cloud environment, and the DL model could be applied for fault detection efficiently. In the FGADL-DEVCA technique, the IoT devices encompassed considerable decentralized decision-making abilities for reaching an agreement based on the performance of the intrablock transactions. Besides, the FGADL-DEVCA technique exploited deep autoencoder (DAE) for the recognition and classification of faults in the IoT-cloud platform. To boost the fault detection performance of the DAE approach, the FGADL-DEVCA technique applied FGA-based hyperparameter tuning. The experimental result analysis of the FGADL-DEVCA technique was performed concerning distinct metrics. The experimental values demonstrated the betterment of the FGADL-DEVCA approach with other existing methods concerning various aspects.
Design, Engineering Analysis, and Fabrication of a Prototype Electromechanical Finger Fixator Control System
Authors: Youssef May M. , El Gamal Hassan A. , Badawi M. B.
Published: March 2024

This paper investigates a new external fixator system for treating finger contractures. This innovative system is electric and user-friendly, providing precise readings of the angles of diseased finger joints. Accurate measurements of the angles of the diseased finger joints can assist therapists and patients during rehabilitation procedures. The fixator consists of ten parts assembled using polyether-ether-ketone (PEEK) for the plastic components and stainless steel for the metal components. The design model was engineered, drawn, and analyzed using SolidWorks Computer-Aided Design software. The verification process utilizes finite element analysis to demonstrate that the maximum stress was lower than the yield strength of the chosen materials. As a result, the new device design is robust and stable enough to withstand the anticipated loading conditions of human fingers. Subsequently, a prototype was fabricated using advanced additive manufacturing technology, specifically fused deposition modeling (FDM). The proposed fixator is simple to control, reliable, easy to use, and reproducible. It enables device users to exercise their finger joints throughout the day without requiring the assistance of specialists.
Implementing a Risk Assessment System of Electric Welders’ Muscle Injuries for Working Posture Detection with AI Technology
Authors: Ruengdech Chayapol , Howimanporn Suppachai , Intarakumthornchai Thanasan , Chookaew Sasithorn
Published: March 2024

Maintaining health and safety is essential for workers’ quality of life, and thus, this has become one of the main priorities for industrial enterprises. Electric welders want required safety precautions to be implemented during work in industries with safety risks, especially muscle injuries. This challenge needs to be addressed by the safety officer, who should suggest a way to decrease the risk for workers. However, traditional assessment based on human evaluation and the need for expertise and accuracy in risk assessment have produced muscle injuries. Thus, using artificial intelligence (AI) technology to mitigate risk assessment is cost-effective and accurate. This study proposed a risk assessment system for muscle injuries (RASMI) with AI technology to assess electric welder postures with rapid entire body assessment (REBA) standards to identify the cause of muscle injuries and to warn electric welders when their pose may be a risk. The findings showed that the system can effectively and precisely evaluate the risk assessment of electric welders’ muscle injuries. Additional results showed that they perceive using AI technology to enhance wellness positively in terms of working with warnings for posture adjustment or behavior that can significantly affect an operator’s long-term health and well-being.
IoT Control and Visualization System with Digital Twins and Augmented Reality in a Digital Transformation Space
Authors: Yauri Ricardo , Mallqui Gerson
Published: March 2024

This paper describes the use of Internet of Things (IoT) technologies, digital twins (DT), and augmented reality (AR) to raise awareness and disseminate the use of digital services within the INICTEL-UNI institutional project financed by the Inter-American Development Bank to strengthen technological services and satisfy the technological needs of companies, promoting digital transformation in Peru. Within various fields, such as technical education, construction, and manufacturing, challenges are faced related to the adoption of advanced technologies and the need to improve efficiency. The main objective of this paper is to implement an IoT control and visualization system with DT and AR in a digital transformation space. A system is shown to create a technological demonstrator environment that visualizes and monitors sensor data on physical IoT devices in real time, allowing users to interact and operate them through an ESP32 module with data transmission with the MQTT protocol and an AR application developed in Unity and Vuforia. The study results successfully demonstrated the efficiency of real-time communication between the IoT device and the AR application, as well as the efficient ability to perform tasks, validated by users with no prior experience.
Optimized Deep Learning-Based Intrusion Detection Using WOA With LightGBM
Authors: Jayashree R. , Venkata Subramanian J.
Published: March 2024

Machine learning is a powerful tool in both cryptosystem and cryptanalysis. Intrusion detection is a significant part of cyber defence plans where improvements are needed to deal with the challenges such as detection of false alarms, everyday new threats, and enhancing performance and accuracy. In this chapter, an optimized deep learning model is proposed to detect intrusion using whale optimization algorithm (WOA) with light gradient boosting machine (LightGBM) algorithm. To increase the performance of the model, the collected network data from the KDD dataset are pre-processed with feature selection and dimensionality reduction methods. The WOA-LightGBM algorithm processes the pre-processed data for training. The outcomes of these experiments are compared with the performance of benchmarking algorithms to prove that this intrusion detection model provides better performance and accuracy. The proposed model detects the intrusion with high accuracy in short period of time.
Quantum Cryptography
Authors: Thenmozhi R. , Vetriselvi D. , Jovith A. Arokiaraj
Published: March 2024

Cryptography is the process of encrypting data or transforming plain text to ciphertext so that it can be deciphered only by appropriate key. Quantum cryptography employs quantum physics principles to encrypt and transport data in an unpackable manner. Quantum key distribution (QKD) is a technique for creating and exchanging private keys over quantum channels between two parties. Then, using standard cryptography, the keys can be used to encrypt and decrypt messages. Unbreakable encryption is something we really must have. The integrity of encrypted data is now in danger due to the impending development of quantum computers. Fortunately, quantum cryptography, via QKD, provides the answer we require to protect our information for a very long time to come. This is all based on the intricate principles of quantum mechanics. This chapter is discussing the various algorithms used and the applications of quantum cryptography.
Convergence of AI and Self-Sustainability
Authors: Anitha R. , Rajkumar M. , Jothi B. , Aancy H. Mickle , Sujatha G. , Sam B.
Published: March 2024

The integration of technology in healthcare presents both opportunities and challenges. This chapter explores the relationship between technology and healthcare, emphasizing the need for security, ethical standards, and social implications. It examines vulnerabilities in digitalizing healthcare data, highlighting the importance of robust encryption methods, access controls, and cybersecurity frameworks to protect sensitive patient information and ensure data confidentiality, integrity, and availability. The chapter discusses the ethical implications of technology integration in healthcare, focusing on data privacy, informed consent, AI-driven decision-making, and responsible technology use. It proposes ethical frameworks to foster trust and transparency while addressing social implications like accessibility, equity, and the digital divide. The chapter advocates for a comprehensive approach that combines technological advancements with strict security measures, ethical guidelines, and social awareness, urging multidisciplinary collaboration to maximize benefits and mitigate risks.
Economic Implications of Virtual Goods and Digital Assets in the Scope of Metaverse
Authors: Suganya V. , Sasirekha V.
Published: March 2024

The advent of the metaverse has ushered in a new era of digital interaction, fundamentally reshaping the global economy. This research analysis delves into the economic implications of virtual goods and digital assets within the metaverse, shedding light on the complex dynamics that underpin this emerging digital economy. First the authors explore the metaverse as a thriving marketplace for virtual goods, investigating the factors driving demand and pricing mechanisms for these intangible assets. They analyse the impact of scarcity, digital scarcity, and blockchain-based ownership systems on the valuation and trade of virtual assets. Second, the research investigates the interplay between the metaverse's digital economy and the traditional world economy. They examine the emergence of virtual jobs, income streams, and the taxation challenges associated with this new form of work. Third, this study scrutinizes the role of virtual assets and metaverse platforms in reshaping advertising, marketing, and branding strategies.
Application of CFD in Healthcare or the Biomedical Field
Authors: Chalke Tejas , Bodkhe Madhura , Kulkarni Sunil Jayant , Goswami Ajaygiri K.
Published: March 2024

CFD is not merely a computational tool; it is an indispensable asset with versatile applications, particularly in the biomedical field. Its role in understanding complex physiological systems and guiding decision-making in medical design and interventions through advanced simulations cannot be overstated. Whether in drug delivery systems, physiological flow analysis, surgical planning, or medical device development, CFD emerges as a rapidly developing and essential tool in biomedical research. Despite biomedical applications engage with the nuances of human physiology and internal fluid actions, the accession of high-performance hardware and software together with discoveries in computer sciences have rendered recent computational fluid dynamics (CFD) applications in the biomedical field more accessible and viable. The review paints a comprehensive picture of CFD's journey from a specialized area of mathematics to a transformative force in healthcare.
Nanoparticles for the Prevention and Treatment of Bacterial Biofilms on Orthopedic Implants
Authors: Prabhu Priyanka , Joshi Vishvesh
Published: March 2024

Orthopedic implants are a boon for devastating bone diseases such as osteoarthritis and bone fractures. However, implantation of an orthopedic device is associated with the risk of bacterial biofilm formation on the surface of the implant. Treating biofilm-associated infections is extremely challenging owing to the acidic environment, enzymatic degradation, presence of sessile bacterial cells, and hypoxic environment in the biofilm. Biofilms are highly resistant to both antibacterials and the human immune system. Present antibiotic therapies have limited success due to low blood flow, high density, and poor permeability of the bone causing insufficient bone permeation of the antibiotic. Nanoparticles have a high surface-to-volume ratio and superior penetration across cell membranes, and their nanostructure provides flexibility in designing effective strategies to tackle biofilm-associated infection. This chapter summarizes the various research endeavours in which nanoparticles have been explored for the prevention and or/treatment of bacterial biofilms on orthopedic implants.