bluuebunny/crossref_metadata_2025_split huggingface dataset:
A model based material removal simulation for vacuum suction blasting of composites
Authors: Brieskorn L. , Hintze W. , Doddagopenahallli Rajanna S. 
Published: February 2024

AbstractAutomated scarfing of carbon reinforced plastic (CFRP) layers is on its way to support commercial aircraft repair. In the industry, still, the manual scarfing operation is the qualified method. However, automated techniques as milling, laser removal and water jet cutting are in development and showed already good results. Another promising method is vacuum suction blasting (VSB) that was until now in particular used for the roughening of surfaces before adhesive bonding. To find the right adjustment for the parameters many experiments would be necessary accordingly to different CFRP parts with changing layer thicknesses. Simulation is a way to avoid this and to predict the removal result and the settings for the machining parameters. The VSB model uses a pixel method dividing the simulated part surface into smaller volume elements. Experimental data of VSB static blasting spots are the basic for the source matrix. The simulation feeds the matrix with the blasted depth and removal volume for different blasting times. A shifting of columns of the source matrix in the blasting movement direction simulates the movement of the blasting nozzle on the work piece surface. With this, the model can also predict the nozzle feed to remove exactly one complete layer for each scarfing step. In addition, it visualizes the seamless overlapping distance between two blasted tracks. With further adjustments, the model will predict the dynamic removal for varying input parameters such as negative pressure and nozzle distance or blasting agent.
Use of three-dimensional printing technology for supporting the hip reconstruction surgery in paediatric patients
Authors: Iuppariello L. , Calderone D. , Casaburi A. , Romano G. , Guida P. , Clemente F. 
Published: February 2024

AbstractThe use of three-dimensional (3D) printed patient-specific anatomical models is nowadays a viable strategy for improving surgical outcome in medicine. In adult surgery, 3D printing technology is commonly studied, but its use in paediatric surgery is still under development. This work presents the implementation of 3D printing technology in Orthopaedic department of the paediatric hospital “Santobono-Pausilipon” in Naples by fabricating 3D printed anatomical models of paediatric patients. The 3D printed models fabricated were used for the training of the surgical team during the preoperative planning and for carrying out a surgical simulation. The anatomical models are designed in compliance with the current European Medical Devices regulation and following the already existing guidelines in literature. The impact of the 3D printed anatomical models used, a total of seven printed anatomical models based on four patients, is then evaluated throughout a questionnaire proposed to the surgical team, composed by eight paediatric orthopaedic surgeons. Surgeons answered to a total of ten questions, six scale-based questions and four free-text questions. Results obtained from the questionnaires highlighted how 3D printed anatomical models can lead to a better understating of the treated pathologies, carrying relevant improvements in both the surgical team training and the surgical outcome.
Effects of selective laser melting building directions and surface modifications on surface roughness of Ti6Al4V alloy
Authors: Kónya János , Jaber Hassanen , Kovács Tünde Anna , Hargitai Hajnalka 
Published: February 2024

Abstract
In this paper, the effect of building direction relative to the substrate (0°, 45°, and 90°) on the surface roughness of Ti6Al4V samples produced by selective laser melting (SLM) has been investigated. After SLM, the samples were subjected to different surface modifications, including acid etching (E) with HF, sandblasting (S) with Al2O3 and sandblasting + etching (SE). Surface roughness of the prepared samples were investigated by Alicona Infinite Focus optical microscopy and Scanning Electron Microscopy (SEM). It was found that there is an inverse relationship between surface roughness and building directions. Additionally, the results showed that the acid etching process increases the surface roughness of the samples at 45° and 90°, while the surface roughness decreases at 0°. Furthermore, the results showed that sandblasting and sandblasting followed with acid etching (SE) effectively reduced the surface roughness of the samples at all building directions. In summary, the acid-etched Ti6Al4V surfaces manufactured at 90° showed a superior surface roughness (Ra = 4.25 ± 0.21, Rz = 29.63 ± 2.34 μm) among the specimens, which is encouraged osseointegration of implants.
A low-profile antenna with parasitic elements and a DGS-based partial ground plane for 5G/WMAN applications
Authors: Paul Liton Chandra , Jim Md. Tanvir Rahman , Rani Tithi , Muyeen S. M. , Karaaslan Muharrem , Shezan Sk. A. , Ishraque Md. Fatin , Akdogan Volkan 
Published: February 2024

AbstractA low-profile antenna with three parasitic elements is designed and presented for fifth-generation (5G) and wireless metropolitan area network (WMAN) applications. This prototype covers the frequency range of 2.75–4.94 GHz, which is applicable for the lower 5G (3.33–4.2 GHz), WWAN n48 CBRS (US) (3.55–3.7 GHz), WiMAX rel 2 (3.4–3.6 GHz), n77 (3.3–4.2 GHz, most European and Asian countries), n78 (3.3–3.8 GHz, USA), and n79 (4.4–5.0 GHz, China, Hong Kong, Japan, and Russia) bands. The prototype is made of a low-loss, commercially available substrate material known as Rogers RT 5880 (εr = 2.2, tanδ = 0.0009) with a thickness of 0.79 mm. The optimized dimension of the proposed antenna is 35 × 25 × 0.79 mm3 (i.e., 691.25 mm3). The proposed 10-element array antenna is fed by a 50 Ω feeder. The maximum gain and directivity of the prototype antenna are 4.3 dB and 4.75 dBi, respectively. The radiation efficiency of the prototype varies from 86.79 to 92.14% (simulated) and from 86.23 to 91.48% (measured), and it is 89.48% (simulated) and 90.59% (measured) at 3.225 GHz. The impedance profile of the proposed 10-element array is (49.80-j1.72) Ω, which ensures good impedance matching. The VSWR and surface current of the low-profile antenna are 1.036 and 107.931 A/m at the center frequency of 3.225 GHz, respectively. The value of the scattering parameter (S11) is − 36 dB at the resonant frequency. By using a DGS-based partial ground plane and parasitic elements, it enhances bandwidth to 2.19 GHz. Therefore, the tested prototype is an excellent candidate to be deployed for 5G/WMAN applications with respect to the different presented parametric studies.
Dynamic fuzzy learning based hybrid GWO-CSA for optimal planning of PV, BESS and DSTATCOM with network reconfiguration
Authors: Sujatha B. C. , Usha A. , Geetha R. S. 
Published: February 2024

AbstractThe proposed approach is on the optimal planning issue of photovoltaic distributed generation (PV-DG) and DSTATCOM device with integrated battery energy storage systems (BESS) considering network reconfiguration by applying hybrid Grey-Wolf crow-search algorithm (GWO-CSA) encompassing dynamic fuzzy learning (DFL) optimization technique. Considering the stochastic nature of solar irradiance and variations, when solar energy is inadequate, BESS acts as backup energy storage device to meet essential load requirements. Network reconfiguration is to reduce power loss by changing the network tie switches using optimization algorithm. The principal objective of the proposed research work is to reduce the total power loss, enhance the voltage profile, improve the voltage stability index, and perform network reliability analysis. The beneficial effect of the proposed method is validated on Standard IEEE 69 and Standard 118 bus systems. It found that for the IEEE 69 bus system, the overall Real power loss values decreased to 12.82% and overall Reactive power loss increased to 78.18%. The total voltage deviation index (TTVDI), and total voltage stability index (TTVSI) values decreased to 17.94% and − 0.75% respectively. The reliability indices like SAIDI, SAIFI, CAIDI, CAIFI, and AENS values decreased by 56%, 3.54%, − 3.09%, 0.55% and 30% respectively. Similarly, for IEEE 118 bus system overall Real power loss, overall Reactive power loss, TTVDI, and TTVSI decreased to 9.53%, − 0.11%, 24.64%, and 3.87%. The reliability indices like SAIDI, SAIFI, CAIDI, CAIFI, and AENS values decreased by 2.4%, 1.0%, 1.54%, 0.94%, and 10.1% respectively. Further, the proposed approach of DFL-based hybrid GWO-CSA considers the reconfiguration with PV-DG, DSTATCOM and BESS enhances the overall performance compared to other scenarios.
Optimizing energy efficiency and thermal comfort of green envelope applications in hot arid climate
Authors: Lotfi Yomna , Hassan MennatAllah 
Published: February 2024

AbstractClimate change and unresolved environmental challenges in arid environments negatively affect urban development. Previous literature tackled the significance of ecological approaches and building envelope optimization as main pillars in reducing energy consumption and enhancing energy efficiency and thermal comfort in buildings. This study aims to tackle an environmental simulation of implementing green roofs and green walls as an ecological strategy applied to the building envelope with considerations of the window-to-wall ratio (WWR) in contribution to enhancing the built environment’s energy efficiency and thermal comfort. The main study aimed to define the optimum solutions for applying ecological approaches on a medium office building envelope to investigate the enhancement of thermal comfort and total site energy. Hot arid climatic data was selected for its recent environmental challenges, and building envelope design, relying on experimental simulation research, a model was simulated using Design-builder software using discomfort hours and total site energy as the main objectives. Heating and cooling were added as outputs in the optimization to monitor their effect on the indoors. The two main output parameters were the WWR and envelope construction. Then a percentage decrease in the running cost was addressed. The multi-objective optimization showed an effective positive impact of green roof application on the building in hot arid climate than that of the green wall, which highlights the significance of green wall implementation to environmental and economic sustainable developments in arid environments.
Changes in Sperm Parameters with Time in Men with Normal and Abnormal Baseline Semen Analysis
Authors: Cohen Nir , Ben-Meir Assaf , Harlap Tzuf , Imbar Tal , Karavani Gilad 
Published: February 2024

AbstractThe association between paternal age and sperm quality in the population level has been previously studied. Only limited data exists regarding the intra-personal variations in semen parameters among fertile and infertile men over time. We aimed to assess trends over time in semen parameters among men with normal and abnormal baseline sperm parameters and investigate potential risk factors for sperm quality deterioration. This retrospective cohort study was conducted at a university-affiliated medical center in vitro fertilization (IVF) unit. Patients with at least two semen analyses (SA) performed > 1 year apart, with the last SA done between 2017 and 2021, were included. The study consisted of two main analyses—comparison of intra-patient’s sperm parameters changes in men with normal and abnormal baseline SA (BSA) and analysis of risk factors for developing abnormal semen parameters over time in men who had normal BSA parameters. This study included a total of 902 men assessed for infertility with normal and abnormal BSA. The average time interval between tests was 1015 days (range 366–7709 days). Among individuals with normal BSA, there was a mild decline in most parameters—concentration (− 6.53 M/ml), motility (− 7.74%), and total motile count (TMC) (− 21.80 M) (p < 0.05 for all parameters). In contrast, a slight improvement in most parameters, except for concentration, was noted in men with abnormal BSA—volume (+ 0.21 ml), motility (+ 8.72%), and TMC (+ 14.38 M) (p < 0.05 for all parameters). Focusing on men with normal BSA, 33.5% of individuals developed abnormality in one or more of their sperm parameters over time, within a mean time of 1013 ± 661 days. We also found that only time between tests emerged as an independent prognostic factor for the development of abnormal SA later. Interestingly, sperm deterioration in participants in their third, fourth, and fifth decades of life with normal initial semen analysis was similar. Our study provides evidence of a decline in semen quality over time in individuals with normal BSA, in contrast to men with abnormal BSA. Longer time intervals between tests independently increase the risk of sperm abnormalities.
KMS Dirichlet forms, coercivity and superbounded Markovian semigroups on von Neumann algebras
Authors: Cipriani Fabio E. G. , Zegarlinski Boguslaw 
Published: February 2024

AbstractWe introduce a construction of Dirichlet forms on von Neumann algebras M associated to any eigenvalue of the Araki modular Hamiltonian of a faithful normal non-tracial state, providing also conditions by which the associated Markovian semigroups are GNS symmetric. The structure of these Dirichlet forms is described in terms of spatial derivations. Coercivity bounds are proved and the spectral growth is derived. We introduce a regularizing property of positivity preserving semigroups (superboundedness) stronger than hypercontractivity, in terms of the symmetric embedding of M into its standard space $$L^2(M)$$

L
2

(
M
)

and the associated noncommutative $$L^p(M)$$

L
p

(
M
)

spaces. We prove superboundedness for a special class of positivity preserving semigroups and that some of them are dominated by the Markovian semigroups associated to the Dirichlet forms introduced above, for type I factors M. These tools are applied to a general construction of the quantum Ornstein–Uhlembeck semigroups of the Canonical Commutation Relations CCR and some of their non-perturbative deformations.
Innovation and Networks in the Bioeconomy: A Case Study from the German Coffee Value Chain
Authors: Venus Terese E. , Beale Caroline , Villalba Roberto 
Published: February 2024

AbstractThe transition to a circular bioeconomy requires innovation across many sectors, but social dynamics within a sector’s network may affect innovation potential. We investigate how network dynamics relate to the perceptions and adoption of bioeconomy innovation using a case study from the food processing sector. Our case study of the German coffee value chain represents a technologically advanced sector with a strong sustainability focus and potential for residue valorization, which is an important dimension of a sustainable circular bioeconomy. We identify three distinct views (pioneers, traditional and limited users) related to residue valorization, map linkages between actors using social network analysis, and highlight barriers to innovation. We collected data through an online survey and semi-structured interviews with key actors in the coffee roasting sector. Within the social network analysis, we find that public waste managers are closely linked to the most influential actors, state actors such as the customs and tax offices can quickly interact with others in the network and promote the spread of information (highest closeness centrality) and specific roasters play an important role as intermediaries for efficient communication (highest betweenness centrality). Finally, we identify four main barriers including the structure of the coffee network, inconsistencies in federal waste regulations, economies of scale, and visions of sustainability. To support a sustainable bioeconomy, we recommend that policy makers revise the primary regulatory frameworks for waste (e.g., German Recycling Act) to clarify how to classify food residues, their disposal structures and broaden their use streams.
s2Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing
Authors: Stauffer Jake , Zhang Qingxue 
Published: February 2024

AbstractThis study aims to demonstrate a novel cloud big data system, s2Cloud, to enabled both smart and secure transmission and management of patient big data from Internet of Things (IoT), especially in the new common of long covid. More specifically, s2Cloud allows doctors to manage patient records effectively through the interactive web server. It further enables real-time, long-term, and continuous streaming and management of biomechanical dynamics from IoT phones/wearables. The big data can be visualized in both real-time and historical modes. Besides, s2Cloud achieves big data security through secure sign up and log in, as well as data transmission protection. It also allows doctor-patient interactions through instantaneous chat. s2Cloud has been evaluated on the real-world application, in which human IoT biomechanical dynamics are streamed, managed, stored, and visualized to demonstrate the effectiveness. Overall, the proposed system, empowered by smart and secure design innovations, has demonstrated the feasibility and potential for IoT big data-driven precision health.
Nanotechnology and its impact on achieving sustainable architecture in Egypt
Authors: Tohlob Ahmed Al Hussein , Morsi Haitham Emad El-Din 
Published: February 2024

AbstractConsidering the significant growth of the global population, several severe issues have emerged, including pollution, economic challenges, and environmental problems. To tackle these ecological issues, many construction experts are actively seeking new flexible techniques. Among these, Nano-technology stands out as a crucial field aiming to enhance the efficiency of the built environment and play a vital role in addressing future challenges. This study aims to examine the effectiveness of integrating Nano-technology techniques in construction to harness the acquired properties of materials and their impact on the interior thermal environment. The paper is divided into three main parts, each providing a detailed and scientific depiction of the study. The first part begins by shedding light on the concept of sustainability in architecture and the evaluation of sustainable buildings. Additionally, it explores the definition of Nano-technology and its substantial impact on the field of architecture by discussing various architectural terms associated with Nano-technology. The emergence of Nano-architecture is seen as a significant advancement in scientific research, representing a fusion between architecture and Nano-technology. Moving on to the second part of the thesis, it focuses on how Nano-technology techniques influence the work of architects. Nowadays, architects consider the properties of construction materials, construction methods, and energy consumption. These factors are essential in achieving an ideal design that is defined as sustainable. The second part also examines the effect of Nano-technology on the thermal environment, analyzing both national and international projects that have implemented this technique.
Combined peracetic acid: power ultrasound disinfection process enhances bioactive compounds and preserves quality attributes of fresh-cut lettuce (cv. Vera)
Authors: Irazoqui M. , Colazzo M. , Fender E. , Budelli E. , Barrios S. , Pérez N. , Lema P. 
Published: February 2024

AbstractLettuce (Lactuca sativa) is one of the most consumed vegetables, being an important source of carotenoids and polyphenols. Sanitization is a crucial step in fresh-cut production to ensure product safety, where non-thermal technologies like ultrasound (US) can enhance disinfectant effects. This study assessed the impact of combining peracetic acid (PAA) and power ultrasound (US) on the disinfection of fresh-cut lettuce and its quality parameters. Lettuce was treated with PAA (80 mg L−1, 5 min) and PAA—US (5 min) at different acoustic power densities (APD) and frequencies: 25 W L−1 at 25 kHz and 45 kHz, and 45 W L−1 at 37 kHz and 80 kHz. Microbial load reduction ranged from 1.6 to 2.1 log CFU g−1 for treated lettuce. While combined technologies generally improved microbial reduction, no clear trend was observed for APD or frequency variations. Wash water quality indicated the need for decontamination to prevent cross-contamination. Total Antioxidant Capacity (TAC), Total Phenolic Content (TPC), and lutein increased compared to untreated lettuce, possibly due to treatment-induced abiotic stress. Total chlorophyll decreased after treatment. Power US showed potential for disinfecting fresh-cut lettuce, inducing positive changes in relevant bioactive compounds with no significant impact on visual quality. Further optimization is needed to enhance microbial inactivation compared to PAA alone.
Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation
Authors: Razakatiana Martial , Kolski Christophe , Mandiau René , Mahatody Thomas 
Published: February 2024

AbstractThe main motivation for this work is the design of context-sensitive systems, involving a human-agent team. More precisely, the participants in the current context, are human beings and software agents, who have to coordinate themselves for the collaborative achievement of a complex task. We propose a model of interaction between these heterogeneous entities (humans, software agents) based on decision matrices inspired from game theory. The case study concerns the traffic management through intersections, involving several groups composed of human operators and software agents (playing the role of assistants), in a participatory simulation. An evaluation of the results obtained is presented in order to show the feasibility of the proposed approach. We show that despite its simplicity, the interaction model is relatively efficient, because it takes into account context characteristics and the potential availability of software agents.
Associations between water insecurity and mental health outcomes among lesbian, gay, bisexual, transgender and queer persons in Bangkok, Thailand and Mumbai, India: Cross-sectional survey findings
Authors: Logie Carmen H. , Newman Peter A. , Admassu Zerihun , MacKenzie Frannie , Chakrapani Venkatesan , Tepjan Suchon , Shunmugam Murali , Akkakanjanasupar Pakorn 
Published: February 2024

Abstract

Background
Water insecurity disproportionally affects socially marginalized populations and may harm mental health. Lesbian, gay, bisexual, transgender and queer (LGBTQ) persons are at the nexus of social marginalization and mental health disparities; however, they are understudied in water insecurity research. Yet LGBTQ persons likely have distinct water needs. We explored associations between water insecurity and mental health outcomes among LGBTQ adults in Mumbai, India and Bangkok, Thailand.

Methods
This cross-sectional survey with a sample of LGBTQ adults in Mumbai and Bangkok assessed associations between water insecurity and mental health outcomes, including anxiety symptoms, depression symptoms, loneliness, alcohol misuse, COVID-19 stress and resilience. We conducted multivariable logistic and linear regression analyses to examine associations between water insecurity and mental health outcomes.

Results
Water insecurity prevalence was 28.9% in Mumbai and 18.6% in Bangkok samples. In adjusted analyses, in both sites, water insecurity was associated with higher likelihood of depression symptoms, anxiety symptoms, COVID-19 stress, alcohol misuse and loneliness. In Mumbai, water insecurity was also associated with reduced resilience.

Conclusion
Water insecurity was common among LGBTQ participants in Bangkok and Mumbai and associated with poorer well-being. Findings signal the importance of assessing water security as a stressor harmful to LGBTQ mental health.