bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnosis and Treatment of Acute Periprosthetic Infections with the BioFire® System within a Time-Dependent and Bacterium-Dependent Protocol: Review and Prosthesis-Saving Protocol
Authors: Sangaletti Rudy , Andriollo Luca , Montagna Alice , Franzoni Simone , Colombini Paolo , Perticarini Loris , Benazzo Francesco , Rossi Stefano Marco Paolo
Published: September 2024

Despite ongoing efforts to enhance diagnostic and treatment processes, the success rate for eradicating infections, particularly prosthetic joint infections (PJIs), currently stands at around 50%. For acute infections occurring shortly after arthroplasty, guidelines recommend a treatment known as DAIR (debridement, antibiotics, and implant retention). This approach is suggested for infections within 30 days post-arthroplasty or with less than 3 weeks of symptoms, provided that there is a stable implant and adequate soft-tissue mass. Several authors have suggested extending the use of DAIR beyond the initial 3-week period in specific cases. This extension practice seems increasingly feasible due to the rapid diagnostic capabilities offered by BioFire®. This technology allows for quick pathogen identification, aiding in the exclusion of cases that do not fit the criteria for the DAIR/DAPRI (debridement, antibiotic pearls and retention of the implant) protocol based on pathogen identification. The aim of this review is to re-examine the current literature on acute infections and present our proposed “prosthesis-saving” protocol, which integrates the BioFire® molecular diagnostic system. Continued research and assessment of the efficacy and safety of these protocols, especially regarding extended treatment timelines, are crucial for advancing the management of acute infections and enhancing outcomes for PJI patients.
Evaluation of Viral Suppression in Paediatric Populations: Implications for the Transition to Dolutegravir-Based Regimens in Cameroon: The CIPHER-ADOLA Study
Authors: Fokam Joseph , Bouba Yagai , Ajeh Rogers Awoh , Guebiapsi Dominik Tameza , Essamba Suzane , Zeh Meka Albert Franck , Lifanda Ebiama , Ada Rose Armelle , Yakouba Liman , Mbengono Nancy Barbara , Djomo Audrey Raissa Dzaddi , Tetang Suzie Ndiang , Sosso Samuel Martin , Babodo Jocelyne Carmen , Ambomo Olivia Francette Ndomo , Temgoua Edith Michele , Medouane Caroline , Atsinkou Sabine Ndejo , Mvogo Justin Leonel , Onana Roger Martin , Anoubissi Jean de Dieu , Ketchaji Alice , Nka Alex Durand , Gouissi Davy-Hyacinthe Anguechia , Ka’e Aude Christelle , Fainguem Nadine Nguendjoung , Kamgaing Rachel Simo , Takou Désiré , Tchouaket Michel Carlos Tommo , Semengue Ezechiel Ngoufack Jagni , Atsama Marie Amougou , Nwobegahay Julius , Vuchas Comfort , Nsimen Anna Nya , Bille Bertrand Eyoum , Gatchuessi Sandra kenmegne , Ateba Francis Ndongo , Kesseng Daniel , Billong Serge Clotaire , Armenia Daniele , Santoro Maria Mercedes , Ceccherini-Silberstein Francesca , Koki Paul Ndombo , Hamsatou Hadja Cherif , Colizzi Vittorio , Ndjolo Alexis , Perno Carlo-Federico , Zoung-Kanyi Bissek Anne-Cecile
Published: September 2024

Mortality in children accounts for 15% of all AIDS-related deaths globally, with a higher burden among Cameroonian children (25%), likely driven by poor virological response. We sought to evaluate viral suppression (VS) and its determinants in a nationally representative paediatric and young adult population receiving antiretroviral therapy (ART). A cross-sectional and multicentric study was conducted among Cameroonian children (<10 years), adolescents (10–19 years) and young adults (20–24 years). Data were collected from the databases of nine reference laboratories from December 2023 to March 2024. A conditional backward stepwise regression model was built to assess the predictors of VS, defined as a viral load (VL) <1000 HIV-RNA copies/mL. Overall, 7558 individuals (females: 73.2%) were analysed. Regarding the ART regimen, 17% of children, 80% of adolescents and 83% of young adults transitioned to dolutegravir (DTG)-based regimens. Overall VS was 82.3%, with 67.3% (<10 years), 80.5% (10–19 years) and 86.5% (20–24 years), and p < 0.001. VS was 85.1% on a DTG-based regimen versus 80.0% on efavirenz/nevirapine and 65.6% on lopinavir/ritonavir or atazanavir/ritonavir. VS was higher in females versus males (85.8% versus 78.2%, p < 0.001). The VS rate remained stable around 85% at 12 and 24 months but dropped to about 80% at 36 months after ART initiation, p < 0.009. Independent predictors of non-VS were younger age, longer ART duration (>36 months), backbone drug (non-TDF/3TC) and anchor drug (non-DTG based). In this Cameroonian paediatric population with varying levels of transition to DTG, overall VS remains below the 95% targets. Predictors of non-VS are younger age, non-TDF/3TC- and non-DTG-based regimens. Thus, efforts toward eliminating paediatric AIDS should prioritise the transition to a DTG-based regimen in this new ART era.
Polyunsaturated Fatty Acids as Potential Treatments for COVID-19-Induced Anosmia
Authors: Wang Yu-Han , Lin Chung-Wei , Huang Chiung-Wei
Published: September 2024

Some individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) experience anosmia, or loss of smell. Although the prevalence of anosmia has decreased with the emergence of the Omicron variant, it remains a significant concern. This review examines the potential role of polyunsaturated fatty acids (PUFAs), particularly omega-3 PUFAs, in treating COVID-19-induced anosmia by focusing on the underlying mechanisms of the condition. Omega-3 PUFAs are known for their anti-inflammatory, neuroprotective, and neurotransmission-enhancing properties, which could potentially aid in olfactory recovery. However, study findings are inconsistent. For instance, a placebo-controlled randomized clinical trial found no significant effect of omega-3 PUFA supplementation on olfactory recovery in patients with COVID-19-induced anosmia. These mixed results highlight the limitations of existing research, including small sample sizes, lack of placebo controls, short follow-up periods, and combined treatments. Therefore, more rigorous, large-scale studies are urgently needed to definitively assess the therapeutic potential of omega-3 PUFAs for olfactory dysfunction. Further research is also crucial to explore the broader role of PUFAs in managing viral infections and promoting sensory recovery.
Unveiling Niaprazine’s Potential: Behavioral Insights into a Re-Emerging Anxiolytic Agent
Authors: Trebesova Hanna , Monaco Martina , Baldassari Sara , Ailuno Giorgia , Lancellotti Edilio , Caviglioli Gabriele , Pittaluga Anna Maria , Grilli Massimo
Published: September 2024

Ongoing global research actions seek to comprehensively understand the adverse impact of stress and anxiety on the physical and mental health of both human beings and animals. Niaprazine (NIA) is a chemical compound that belongs to the class of piperazine derivatives. This compound has recently gained renewed attention due to its potential therapeutic properties for treating certain conditions such as anxiety. Despite its potential benefits, the behavioral effects of NIA have not been thoroughly investigated. This study aimed to examine NIA’s potential as an anti-anxiety and anti-stress agent. After administering either vehicle or NIA in their drinking water to mice for 14 days, we conducted behavioral analyses using the Marble Burying Test and the Elevated Plus Maze test. NIA-treated mice spend more time in the open arms and bury fewer marbles. Moreover, a stability study confirmed the linear relationship between NIA concentration and its response across concentrations encompassing the NIA mother solution and the NIA solutions administered to mice. Also, a preliminary synaptic toxicity analysis showed no direct damage to cortical nerve endings. Here, we show that NIA can modulate anxiety-related behaviors without significantly impacting exploratory activity or adverse effects. Our work describes new findings that contribute to the research on safer and more tolerable anxiety management options.
Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning
Authors: Tang Chaoli , Li Wenyan , Han Tao , Yu Lu , Cui Tao
Published: September 2024

Path planning is a key problem in the autonomous navigation of mobile robots and a research hotspot in the field of robotics. Harris Hawk Optimization (HHO) faces challenges such as low solution accuracy and a slow convergence speed, and it easy falls into local optimization in path planning applications. For this reason, this paper proposes a Multi-strategy Improved Harris Hawk Optimization (MIHHO) algorithm. First, the double adaptive weight strategy is used to enhance the search capability of the algorithm to significantly improve the convergence accuracy and speed of path planning; second, the Dimension Learning-based Hunting (DLH) search strategy is introduced to effectively balance exploration and exploitation while maintaining the diversity of the population; and then, Position update strategy based on Dung Beetle Optimizer algorithm is proposed to reduce the algorithm’s possibility of falling into local optimal solutions during path planning. The experimental results of the comparison of the test functions show that the MIHHO algorithm is ranked first in terms of performance, with significant improvements in optimization seeking ability, convergence speed, and stability. Finally, MIHHO is applied to robot path planning, and the test results show that in four environments with different complexities and scales, the average path lengths of MIHHO are improved by 1.99%, 14.45%, 4.52%, and 9.19% compared to HHO, respectively. These results indicate that MIHHO has significant performance advantages in path planning tasks and helps to improve the path planning efficiency and accuracy of mobile robots.
Ceramic Stereolithography of Li7La3Zr2O12 Micro-Embossed Sheets for Solid Electrolyte Applications
Authors: Spirrett Fiona , Oi Ayaka , Kirihara Soshu
Published: September 2024

Lithium-ion batteries (LIBs) have significantly advanced portable electronics, yet their reliance on flammable organic solvents and lithium dendrite formation pose safety risks. Solid-state batteries (SSBs), utilizing solid electrolytes, offer a safer alternative with higher energy and power densities. This study explores the fabrication of solid electrolytes using ceramic stereolithography, focusing on lithium lanthanum zirconate (LLZ) due to its high ionic conductivity and chemical stability. A photosensitive paste containing 40–43 vol% LLZ was suitable for processing by stereolithography, and optimized processing parameters of 100 mW laser power and 1000 mm/s laser scanning speed with a 50 μm laser spot size were identified for sufficient material curing and interlayer lamination of LLZ. Thin embossed sheets were designed to enhance ion exchange and reduce internal resistance and were fabricated by the ceramic stereolithography method. The effect of cold isostatic pressing (CIP) on the sintered microstructure was investigated, and the potential for CIP to promote solid-phase diffusion during sintering was demonstrated, particularly at 67 MPa. The resulting LLZ-embossed sheets exhibited dense ceramic microstructures. These findings support the potential application of ceramic stereolithography for fabricating efficient solid electrolytes for next-generation telecommunications and mobile devices.
Building a Code-Based Model to Describe Syngas Production from Biomass
Authors: Brinkmann Simon , Seyfang Bernhard C.
Published: September 2024

Due to growing interest in providing and storing sufficient renewable energies, energy generation from biomass is becoming increasingly important. Biomass gasification represents the process of converting biomass into hydrogen-rich syngas. A one-dimensional kinetic reactor model was developed to simulate biomass gasification processes as an alternative to cost-intensive experiments. The presented model stands out as it contains the additional value of universal use with different biomass types and a more comprehensive application due to its integration into the DWSIM process simulator. The model consists of mass and energy balances based on the kinetics of selected reactions. Two different reactor schemes are simulated: (1) a fixed bed reactor and (2) a fluidized bed reactor. The operating mode can be set as isothermal or non-isothermal. The model was programmed using Python and integrated into DWSIM. Depending on incoming mass flows (biomass, oxygen, steam), biomass type, reactor type, reactor dimensions, temperature, and pressure, the model predicts the mass flows of char, tar, hydrogen, carbon monoxide, carbon dioxide, methane, and water. Comparison with experimental data from the literature validates the results gained from our model.
Evaluating a Digitally Delivered, Multi-Modal Intervention for Parents of Children with Type 1 Diabetes: A Proof-of-Concept Study
Authors: Tang Tricia S. , Sharif Niloufar , Ng Crystal , McLean Logan , Klein Gerri , Amed Shazhan
Published: September 2024

Background/Objectives: We examined the feasibility, acceptability, and potential mental health impact of a digital peer support intervention involving videoconferencing and text-based support for parents of school-aged children living with T1D and analyzed posts exchanged by parents on a texting platform. Methods: Eighteen parents were recruited for Huddle4Parents, a 4-month digital intervention that involved four synchronous group-based Zoom sessions coupled with an asynchronous 24/7 peer support texting room. Primary outcomes were feasibility (i.e., ability to recruit n = 20 parents and retain at least 75%) and acceptability (i.e., satisfaction ratings of “good” to “very good”). Baseline and 4-month assessments also measured diabetes distress, quality of life, and perceived support. A content analysis of text exchanges was also performed. Results: All 15 parents who completed the intervention attended at least one Huddle and posted at least one message on the 24/7 peer support room. The retention rate was 83%, with 100% indicating that they would “definitely” or “probably yes” recommend both platforms to other parents. They also rated the topics, facilitator, and overall Huddles as “good” to “excellent.” No changes were observed for psychosocial endpoints. Of the 1084 texts posted, core support themes included the following: (1) dealing with technology and devices; (2) seeking and providing emotional support; (3) managing T1D in the school setting; and (4) exchanging tips and strategies. Conclusions: Huddle4Parents, a digital T1D caregiver intervention offering synchronous and asynchronous support, is feasible based on recruitment, participation, and attrition rates and acceptable as demonstrated by engagement and satisfaction ratings for the Huddles and 24/7 peer support room.
Direct-Coupled Improvement of a Solar-Powered Proton Exchange Membrane Electrolyzer by a Reconfigurable Source
Authors: Di Caro Amedeo , Vitale Gianpaolo
Published: September 2024

This paper deals with proton exchange membrane (PEM) electrolyzers directly coupled with a photovoltaic source. It proposes a method to increase the energy delivered to the electrolyzer by reconfiguring the electrical connection of the arrays according to solar radiation. Unlike the design criterion proposed by the literature, the suggested approach considers a source obtained by connecting arrays in parallel depending on solar radiation based on a fixed photovoltaic configuration. This method allows for the optimization of the operating point at medium or low solar radiation, where the fixed configuration gives poor results. The analysis is performed on a low-power plant (400 W). It is based on a commercial photovoltaic cell whose equivalent model is retrieved from data provided by the manufacturer. An equivalent model of the PEM electrolyzer is also derived. Two comparisons are proposed: the former considers a photovoltaic source designed according to the traditional approach, i.e., a fixed configuration; in the latter, a DC/DC converter as interface is adopted. The role of the converter is discussed to highlight the pros and cons. The optimal set point of the converter is calculated using an analytical equation that takes into account the electrolyzer model. In the proposed study, an increase of 17%, 62%, and 93% of the delivered energy has been obtained in three characteristic days, summer, spring/autumn, and winter, respectively, compared to the fixed PV configuration. These results are also better than those achieved using the converter. Results show that the proposed direct coupling technique applied to PEM electrolyzers in low-power plants is a good trade-off between a fixed photovoltaic source configuration and the use of a DC/DC converter.
Revolutionizing Cosmetic Ingredients: Harnessing the Power of Antioxidants, Probiotics, Plant Extracts, and Peptides in Personal and Skin Care Products
Authors: Choi Hye Yung , Lee Yun Jung , Kim Chul Min , Lee Young-Mi
Published: September 2024

The burgeoning interest in natural components in personal care products has led to significant research and development of ingredients such as plant extracts, antioxidants, peptides, and probiotics. These components have been recognized for their potential to enhance skin health through various mechanisms, addressing consumer demand for products that are both effective and benign. Plant extracts, known for their rich composition of bioactive compounds, offer a myriad of benefits including antioxidant, anti-inflammatory, and antimicrobial properties, making them invaluable in skin care formulations. Antioxidants, derived from both plants and other natural sources, play a pivotal role in protecting the skin from oxidative damage, thereby preventing premature aging and promoting skin vitality. Bioactive peptides have garnered attention owing to their multifunctional activities that include promoting collagen synthesis, inhibiting enzymes responsible for skin degradation, and reducing inflammation, thereby contributing to skin regeneration and anti-aging. Probiotics have expanded their utility beyond gut health to skin care, where they help in maintaining skin microbiome balance, thus enhancing skin barrier function and potentially mitigating various skin disorders. The purpose of this review is to explore the individual roles of plant extracts, antioxidants, peptides, and probiotics in personal care products, while emphasizing their synergistic effects when combined. By integrating these natural components, this paper aims to highlight the potential for developing innovative skincare formulations that not only address specific skin concerns but also contribute to overall skin health, aligning with the increasing consumer preference for natural and holistic skincare solutions.
Cryptanalysis of Dual-Stage Permutation Encryption Using Large-Kernel Convolutional Neural Network and Known Plaintext Attack
Authors: Chang Ching-Chun , Xu Shuying , Gao Kai , Chang Chin-Chen
Published: September 2024

Reversible data-hiding in encrypted images (RDHEI) plays a pivotal role in preserving privacy within images stored on cloud platforms. Recently, Wang et al. introduced a dual-stage permutation encryption scheme, which is highly compatible with RDHEI techniques. In this study, we undertake an exhaustive examination of the characteristics inherent to the dual-stage permutation scheme and propose two cryptanalysis schemes leveraging a large-kernel convolutional neural network (LKCNN) and a known plaintext attack (KPA) scheme, respectively. Our experimental findings demonstrate the effectiveness of our cryptanalysis schemes in breaking the dual-stage permutation encryption scheme. Based on our investigation, we highlight significant security vulnerabilities in the dual-stage permutation encryption scheme, raising concerns about its suitability for secure image storage and privacy protection in cloud environments.
A Multi-Candidate Self-Tallying Voting Scheme Based on Smart Contracts
Authors: Dai Xingan , Zhou Xinquan , Zhou Dehua , Zhong Jinhan , Hong Chao
Published: September 2024

In this paper, we propose a smart contract-based multi-candidate self-tallying voting scheme in order to guarantee the privacy of ballots in the case of multiple candidates. This scheme uses the ElGamal cryptosystem to ensure the security of the ballots, and combines it with a Distributed Encryption algorithm to make the voting scheme have self-tallying features, and guarantees the correctness of the intermediate data through zero-knowledge proofs. The experimental results show that the scheme improves the voting efficiency without compromising the security.
A Multi-Pathogen Retrospective Study in Patients Hospitalized for Acute Gastroenteritis
Authors: Zizza Antonella , Guido Marcello , Sedile Raffaella , Benelli Marzia , Nuzzo Milva , Paladini Pasquale , Romano Anacleto , Grima Pierfrancesco
Published: September 2024

Acute gastroenteritis (AGE) is a gastrointestinal tract disease often caused by consuming food or water contaminated by bacteria, viruses, or parasites, that can lead to severe symptoms requiring hospitalization. A retrospective study on patients admitted for AGE between 2021 and 2023 at the Pediatrics and Infectious Diseases Departments of Lecce Hospital was conducted. Demographic characteristics, year and month of admission, length of hospital stay, etiological agents, co-infections, and blood chemistry data of patients were collected. The study included 103 patients ranging in age from 0 to 15 years, with 58.25% being male. A total of 78 bacterial, 35 viral, and 7 parasitic infections were identified. The most commonly detected pathogens were Escherichia coli (38.83%), Norovirus (28.16%), Campylobacter jejuni (22.33%), and Salmonella typhi/paratyphi (10.68%). Only a few cases of Cryptosporidium (5.83%) were identified. Additionally, 17 co-infections (16.50%) were detected. Viral infections are the primary cause of hospitalization for AGE in children <5 years, while bacterial infections are more common among older patients. The significantly higher number of children <5 years old with elevated creatinine compared to children ≥5 years suggested that young children are more susceptible to dehydration than older children. Few cases of AGE were attributed to pathogens for which a vaccine has already been licensed. AGE is a serious health concern that could be effectively prevented by implementing food-based and community-level sanitation systems, as well as by increasing vaccination coverage of available vaccines and developing new effective and safe vaccines.
Intelligent Parcel Delivery Scheduling Using Truck-Drones to Cut down Time and Cost
Authors: Farrag Tamer Ahmed , Askr Heba , Elhosseini Mostafa A. , Hassanien Aboul Ella , Farag Mai A.
Published: September 2024

In the evolving landscape of logistics, drone technology presents a solution to the challenges posed by traditional ground-based deliveries, such as traffic congestion and unforeseen road closures. This research addresses the Truck–Drone Delivery Problem (TDDP), wherein a truck collaborates with a drone, acting as a mobile charging and storage unit. Although the Traveling Salesman Problem (TSP) can represent the TDDP, it becomes computationally burdensome when nodes are dynamically altered. Motivated by this limitation, our study’s primary objective is to devise a model that ensures swift execution without compromising the solution quality. We introduce two meta-heuristics: the Strawberry Plant, which refines the initial truck schedule, and Genetic Algorithms, which optimize the combined truck–drone schedule. Using “Dataset 1” and comparing with the Multi-Start Tabu Search (MSTS) algorithm, our model targeted costs to remain within 10% of the optimum and aimed for a 73% reduction in the execution time. Of the 45 evaluations, 37 met these cost parameters, with our model surpassing MSTS in eight scenarios. In contrast, using “Dataset 2” against the CPLEX solver, our model optimally addressed all 810 experiments, while CPLEX managed only 90 within the prescribed time. For 20-customer scenarios and more, CPLEX encountered memory limitations. Notably, when both methods achieved optimal outcomes, our model’s computational efficiency exceeded CPLEX by a significant margin. As the customer count increased, so did computational challenges, indicating the importance of refining our model’s strategies. Overall, these findings underscore our model’s superiority over established solvers like CPLEX and the economic advantages of drone-assisted delivery systems.
Raman Spectroscopy and Electrical Transport in 30Li2O• (67−x) B2O3•(x) SiO2•3Al2O3 Glasses
Authors: Kafle Amrit P. , McKeown David , Wong-Ng Winnie , Alsubaie Meznh , Alenezi Manar , Pegg Ian L. , Dutta Biprodas
Published: September 2024

We have investigated the influence of the relative proportions of glass formers in a series of lithium alumino-borosilicate glasses with respect to electrical conductivity (σ) and glass transition temperature (Tg) as functions of glass structure, as determined using Raman spectroscopy. The ternary lithium alumino-borate glass exhibits the highest σ and lowest Tg among all the compositions of the glass series, 30Li2O•3Al2O3• (67−x) B2O3•xSiO2. However, as B2O3 is replaced by SiO2, a shallow minimum in σ, as well as a shallow maximum in Tg, are observed near x = 27, where the Raman spectra indicate that isolated diborate/tetraborate/orthoborate groups are being progressively replaced by danburite/reedmergnerite-like borosilicate network units. Overall, as the glasses become silica-rich, σ is minimized, while Tg is maximized. In general, these findings show correlations among Tg (sensitive to network polymerization), σ (proportional to ionic mobility), and the different borate and silicate glass structural units as determined using Raman spectroscopy.
Design of Solar-Powered Cooling Systems Using Concentrating Photovoltaic/Thermal Systems for Residential Applications
Authors: Ghaith Fadi , Siddiqui Taabish , Nour Mutasim
Published: September 2024

This paper addresses the potential of integrating a concentrating photovoltaic thermal (CPV/T) system with an absorption chiller for the purpose of space cooling in residential buildings in the United Arab Emirates (UAE). The proposed system consists of a low concentrating photovoltaic thermal (CPV/T) collector that utilizes mono-crystalline silicon photovoltaic (PV) cells integrated with a single-effect absorption chiller. The integrated system was modeled using the Transient System Simulation (TRNSYS v17) software. The obtained model was implemented in a case study represented by a villa situated in Abu Dhabi having a peak cooling load of 366 kW. The hybrid system was proposed to have a contribution of 60% renewable energy and 40% conventional nonrenewable energy. A feasibility study was carried out that demonstrated that the system could save approximately 670,700 kWh annually and reduce carbon dioxide emissions by 461 tons per year. The reduction in carbon dioxide emissions is equivalent of removing approximately 98 cars off the road. The payback period for the system was estimated to be 3.12 years.
An Analysis of the Physicochemical and Energy Parameters of Briquettes Manufactured from Sewage Sludge Mixtures and Selected Organic Additives
Authors: Kujawiak Sebastian , Makowska Małgorzata , Janczak Damian , Czekała Wojciech , Krzesiński Włodzimierz , Antonowicz Ariel , Kupryaniuk Karol
Published: September 2024

As a by-product of wastewater treatment, sewage sludge can be used for natural, agricultural, or energy purposes. One method of preparing sludge for management and use is solar drying. To intensify the drying process, natural additives can be used to alter the structure of the sludge and accelerate the evaporation of water. This research aimed to evaluate the influences of different organic additives in sewage sludge mixtures on the physicochemical and energy parameters of briquettes. This research was carried out without thermal boosting in a 4 × 2.5 × 2 m plastic tunnel. The tunnel was equipped with three drying stations and control and measuring equipment. In two test series, sludge additives in the form of straw and lignocellulosic materials, sawdust, bark, woodchips, and walnut shells, were used. Briquettes were made from the resulting mixtures and then subjected to physical and chemical analyses. This research showed high variability in the contents of trace elements, nitrogen, and sulphur in relation to an increase in the amount of sludge in the briquettes, which, for the briquettes made from sewage sludge, was nearly twice as high as for the briquettes made from the mixtures. The results of the flue gas analysis for the briquettes with sawdust and wood chip additives were very similar. The briquettes made from sewage sludge with lignocellulosic materials (bark and wood chips) had fuel properties similar to woody biomass, with a calorific value and heat of combustion of 15–16 MJ/kg. Fibrous additives (straw) significantly increased the strength parameters of the briquettes, by more than 50% of the value. The compositions and properties of the mixtures affected the following briquetting parameters: temperature and compressive force. The briquettes made from sewage sludge and additives can be classified according to ISO 21640 as SRFs (solid recovered fuels). In most of the results, the net calorific value (NCV) was 3 to 4; the chlorine content (CL) was 2 to 1; and the mercury content (Hg) was 1. The sewage sludge mixtures facilitated the agricultural and energy use of the briquettes.
Effects of Water Absorption on the Insulating Properties of Polypropylene
Authors: Xi Rui , Jiang Qiyang , Cao Liang , Li Chuping , He Jiaxun , Zhang Ya , He Gaohui , Gui Yingang , Tang Chao
Published: September 2024

Moisture has been a crucial problem during the operation of cable systems. When we are faced with polypropylene (PP)-based insulation for the development of cable systems, there are few reports on the effects of water intrusion on the electrical performances of PP. In this study, the water absorption characteristics of isotactic PP (iPP) and atactic PP (aPP), as well as their effects on volume resistivity and relative permittivity, were investigated. The structure evolution during the water absorption process of the two PPs was also compared via infrared spectra and X-ray diffraction analyses. The results show that both of the two PPs show a saturation of water absorption at ~216 h, even though there are structural differences. And water intrusion into bulk could increase the interplanar spacing of iPP while decreasing the interplanar spacing of aPP. Moreover, with the increase in water absorption, the volume resistivity of the two PPs show a decreasing trend while the relative permittivity presents an increasing behavior, which shows an almost linear correlation.
A Novel Lock-In Amplification-Based Frequency Component Extraction Method for Performance Analysis and Power Monitoring of Grid-Connected Systems
Authors: Rehman Abdur , An Taeho , Choi Woojin
Published: September 2024

Recently, the increasing concern for climate control has led to the widespread application of grid-connected inverter (GIC)-based renewable-energy systems. In addition, the increased usage of non-linear loads and electrification of the transport sector cause ineffective grid-frequency management and the introduction of harmonics. These grid conditions affect power quality and result in uncertainty and inaccuracy in monitoring and measurement. Incorrect measurement leads to overbilling/underbilling, ineffective demand and supply forecasts for the power system, and inefficient performance analysis. To address the outlined problem, a novel, three-phase frequency component extraction and power measurement method based on Digital Lock-in Amplifier (DLIA) and Digital Lock-in Amplifier–Frequency-Locked Loop (DLIA–FLL) is proposed to provide accurate measurements under the conditions of harmonics and frequency offset. A combined filter, with a lowpass filter and notch filter, is employed to improve computation speed for DLIA. A comparative study is performed to verify the effectiveness of the proposed power measurement approach, by comparing the proposed method to the windowed interpolated fast Fourier transform (WIFFT). The ZERA COM 3003 (a commercial high-accuracy power measurement instrument) is used as the reference instrument in the experiment.
Electrifying Strategic Management: Leveraging Electric Vehicles for Sustainable Value Creation?
Authors: Gouveia Sónia , de la Iglesia Daniel H. , Abrantes José Luís , López Rivero Alfonso J. , Silva Elisabete , Gouveia Eduardo , Santos Vasco
Published: September 2024

Electric vehicles are an emerging topic in organizations and society. Access to economically and environmentally workable sustainable technologies has become a priority in the face of catastrophic climate change and the discussion surrounding it. This study examines the academic literature to shed light on factors, trends, emerging models, and critical perspectives on electric vehicles and their relationship to value creation, strategic management, and sustainability. This research uses a bibliometric analysis method to explore the dynamic interaction between these essential elements of the literature. The source is the Scopus database. The analysis uses VOSviewer software 1.6.20, focusing on the bibliographic coupling of documents, which was presented as a network visualization map. It emphasizes search terms proving the emerging need for innovation strategies in automotive industry organizations, consumers, and public entities to create value within a global sustainability logic. This study highlights the relationship between the electric vehicle industry and the value creation strategy and sustainability in a digital world.
Dead Fish Detection Model Based on DD-IYOLOv8
Authors: Zheng Jianhua , Fu Yusha , Zhao Ruolin , Lu Junde , Liu Shuangyin
Published: September 2024

In aquaculture, the presence of dead fish on the water surface can serve as a bioindicator of health issues or environmental stressors. To enhance the precision of detecting dead fish floating on the water’s surface, this paper proposes a detection approach that integrates data-driven insights with advanced modeling techniques. Firstly, to reduce the influence of aquatic disturbances and branches during the identification process, prior information, such as branches and ripples, is annotated in the dataset to guide the model to better learn the scale and shape characteristics of dead fish, reduce the interference of branch ripples on detection, and thus improve the accuracy of target identification. Secondly, leveraging the foundational YOLOv8 architecture, a DD-IYOLOv8 (Data-Driven Improved YOLOv8) dead fish detection model is designed. Considering the significant changes in the scale of dead fish at different distances, DySnakeConv (Dynamic Snake Convolution) is introduced into the neck network detection head to adaptively adjust the receptive field, thereby improving the network’s capability to capture features. Additionally, a layer for detecting minor objects has been added, and the detection head of YOLOv8 has been modified to 4, allowing the network to better focus on small targets and occluded dead fish, which improves detection performance. Furthermore, the model incorporates a HAM (Hybrid Attention Mechanism) in the later stages of the backbone network to refine global feature extraction, sharpening the model’s focus on dead fish targets and further enhancing detection accuracy. The experimental results showed that the accuracy of DD-IYOLOv8 in detecting dead fish reached 92.8%, the recall rate reached 89.4%, the AP reached 91.7%, and the F1 value reached 91.0%. This study can achieve precise identification of dead fish, which will help promote the research of automatic pond patrol machine ships.
Dietary Effect of a Plant-Based Mixture (Phyto AquaMeric) on Growth Performance, Biochemical Analysis, Intestinal Histology, Gene Expression and Environmental Parameters of Nile Tilapia (Oreochromis niloticus)
Authors: El-Sayed Abdel-Fattah M. , Fagnon Mahougnon Simeon , Hamdan Amira M. , Chabrillat Thibaut , Araujo Coralie , Bouriquet Julie , Kerros Sylvain , Zeid Salma M. S.
Published: September 2024

This study aimed to assess the effect of dietary supplementation of a mixture of botanical compounds and essential oil (Phyto AquaMeric, PAM) on the growth, immune and antioxidant parameters and environmental benefits in Nile tilapia. Two diets including a control and a PAM-supplemented diet at 0.5 g kg−1 were prepared for the trial. The diets were isonitrogenous (30% crude protein) and isoenergetic (17 MJ kg−1) extruded diets. Nile tilapia weighing initially 74.22 ± 1.96 g fish−1 were stocked in 2 m3 hapas at a density of 20 fish per m3 (40 fish per hapa). Each group was tested in triplicates over 80 days. The antioxidant potential of PAM was compared to vitamin C through KRL test, showing a higher value from 35 to 100 mg. The in vivo trial did not exhibit any significant growth performance improvement. However, the PAM group had a significantly improved feed conversion ratio (FCR) and protein efficiency ratio (PER). Moreover, the antioxidant enzymes superoxide dismutase (SOD) and glutathione peroxidase (GPx), Malondialdehyde (MDA), immune parameters (ACH50, lysozyme, phagocytic and phenoloxidase activities), digestive enzymes and hepatic enzymes were significantly improved in the PAM-fed group. An evaluation of eutrophication potential of PAM supplementation revealed a low input in the system. In conclusion, this mixture of botanicals and essential oil exhibited in vitro and in vivo antioxidant potential, improved health and digestive parameters and contributed to a reduced eutrophication risk in the tilapia production system.
Flow Performance Analysis of Non-Return Multi-Door Reflux Valve: Experimental Case Study
Authors: Hadebe Xolani Prince , Tchomeni Kouejou Bernard Xavier , Alugongo Alfayo Anyika , Sozinando Desejo Filipeson
Published: September 2024

Non-return multi-door reflux valves are essential in fluid control systems to prevent reverse flow and maintain system integrity. This study experimentally analyzes the flow performance of multi-door check valves under different operating conditions, focusing on pressure testing and evaluating their effectiveness in preventing backflow. A wide-ranging experimental setup was designed and implemented to simulate real-world scenarios, facilitating accurate measurement of flow rates, pressure differences, and valve response times. The collected experimental data were analyzed to evaluate the valve’s performance in terms of flow capacity, pressure drop, and hydraulic efficiency. Additionally, the effects of factors such as valve size, valve configuration, and fluid properties (water) on performance were considered. It was found that the non-return multi-door reflux valve has been proven effective and reliable in preserving system integrity and maintaining unidirectional flow at the same time during pressure testing. It exhibits no backflow, remains stable and constant across varied flow conditions, and demonstrates a low pressure drop and high flow capacity, making it suitable for critical pressure testing applications. The response curve revealed that valve opening takes longer to reach higher flow rates than closing, indicating pressure instability during transition periods. This non-linear relationship indicates possible irregularities in pressure drop response to flow rate changes, highlighting potential areas for further investigation.
Fluorescence of Intrinsic Milk Chromophores as a Novel Verification Method of UV-C Treatment of Milk
Authors: Souroullas Kallis , Manoli Andreas , Itskos Grigorios , Apostolou Theofylaktos , Papademas Photis
Published: September 2024

The European Food Safety Authority (EFSA) has approved the use of a 1045 J/L UV-C dose as an adjunct to pasteurization to increase the shelf life and vitamin D3 content of milk. However, there are no verification methods analogous to the alkaline phosphatase test for pasteurized milk to ensure that the desired UV-C dose has been correctly applied. The aim is to develop a real-time in-line detector based on fluorescence spectroscopy. In this study, 22 different UV-C doses (ranging from 0 to 2000 J/L) were applied to milk to assess the impact of photooxidation on intrinsic photosensitive chromophores. Fluorescence spectroscopy (90°-angle) was employed as the method of analysis for monitoring the changes in the fluorescence spectra of chromophores in milk without sample pretreatment. Three important chromophore areas (CAs) were identified: CA 1 (riboflavin), CA 3 (vitamin A and dityrosine) and CA 4 (tryptophan), with statistically significant changes at around 1045 J/L and 1500 J/L. The findings of our preliminary study support our hypothesis that the fluorescence of intrinsic chromophores can be used as verification of the applied UV-C dose.
Structural Analysis and Anticoagulant Activity of Fucosylated Glycosaminoglycan from Sea Cucumber Phyllophorus proteus
Authors: Liu Jingwen , Geng Lihua , Wang Jing , Yue Yang , Wu Ning , Zhang Quanbin
Published: September 2024

Phyllophorus proteus is a low-value sea cucumber from Indonesia and other tropical peripheral waters. In this study, a fucosylated glycosaminoglycan (FG) was extracted from P. proteus. It consists of GlcA, GalNAc, and Fuc, with a molecular weight of 67.1 kDa. The degraded FG (dFG) was prepared by β-elimination. Structural analysis revealed that the main chain of dFG was composed of GalNAc and GlcA, linked alternately by β1,3 and β1,4 glycosidic bonds. The sulfate group was located at the 4 and 6 positions of GalNAc. Fuc was attached to the 3 position of GlcA by an α1,3 glycosidic bond, and the side chain of Fuc exhibited various sulfate substitutions. FG significantly prolonged the coagulation time of APTT, PT, TT, and FIB, surpassing the effect of LMWH, thereby demonstrating its ability to exert anticoagulant effects in both the endogenous and exogenous coagulation pathways. Conversely, dFG had no significant effect on the clotting time of PT, suggesting its lack of impact on the intrinsic coagulation pathway. This study elucidates the structural properties and potent anticoagulant activities of fucosylated glycosaminoglycan from P. proteus.
Enhancing Functional Compounds in Sesame Oil through Acid-Soaking and Microwave-Heating of Sesame Seeds
Authors: Yuenyong Jitkunya , Limkoey Suchintana , Phuksuk Chonlathit , Winan Thitima , Bennett Chonlada , Jiamyangyuen Sudarat , Mahatheeranont Sugunya , Sookwong Phumon
Published: September 2024

This study investigated whether pre-treating sesame (Sesamum indicum L.) seeds with a combination of acid-soaking and microwave-heating could significantly enhance the quality of the resulting sesame oil, particularly by increasing its content of functional compounds such as lignans, tocopherol, phytosterol, and squalene. The study revealed that soaking the sesame seeds in a solution of HCl and citric acid, along with microwave-heating, significantly increased the content of these compounds. The detected ranges were sesamin (1365–6927 µg g−1), sesamolin (605–3493 µg g−1), tocopherol (69.31–282.76 µg g−1), asarinin (ND–383.52 µg g−1), sesamol (ND–49.59 µg g−1), phytosterol (3690–6201 µg g−1), and squalene (532−1628 µg g−1). Additionally, the study found that the pre-treatment of sesame seeds had a minimal effect on the fatty acid composition, antioxidant activity (92.94–95.08% DPPH scavenging activity), and oxidative stability (2.13–2.90 mg MDA kg−1 oil). This is the first study to demonstrate that using acid-soaking and microwave-heating to prepare sesame seeds can produce sesame oil enriched with functional compounds, potentially benefiting cosmetic, pharmaceutical, and health applications.
Evolution of Food Trade Networks from a Comparative Perspective: An Examination of China, the United States, Russia, the European Union, and African Countries
Authors: Hu Wei , Xie Dongling , Le Yilin , Fu Ningning , Zhang Jianzhen , Yin Shanggang , Deng Yun
Published: September 2024

In the intricate landscape of the global food system, a nuanced understanding of dynamic evolution patterns and driving mechanisms of food trade network is essential for advancing insights into the African food trade and maintaining the food security of Africa. This paper constructs a framework for analyzing the food trade network from a comparative perspective by comparing and analyzing the evolution of food trade networks in China, the United States, Russia, the European Union, and African countries. The development trend of food trade between China, Russia, the United States, the European Union, and African countries is relatively good. China, the United States, Russia, and the European Union export far more food to African countries than they import, and bilateral food trade plays an important role in alleviating food supply shortages in Africa. The food trade networks between China, the United States, Russia, the European Union, and African countries exhibit a butterfly-shaped structure centered in Africa, and the overall intensity of bilateral trade linkages is gradually increasing. France has the greatest control over the food trade network between China, the United States, Russia, the European Union, and African countries, and the influence of the United States on the food trade network between China, the United States, Russia, the European Union, and African countries is increasing. China’s independence in the food trade network between China, the United States, Russia, the European Union, and African countries is enhanced, but its control ability is limited. The impact of differences in total population, differences in food production, and geographical borders on the trade network between China, the United States, the European Union, and African countries tends to decrease, while the influence of differences in the proportion of agricultural employment, differences in the arable land available for food production, and institutional distance tends to increase.
Development of a Design Tool for Performance Estimation and Validation Proton Exchange Membrane Fuel Cell: Verification and Validation for 20 KW Commercial Fuel Cell
Authors: Leto Angelo , Di Lorenzo Giuseppe
Published: September 2024

This work provides an extended description of the tools developed in the Wolfram Mathematica environment to characterize proton exchange membrane (PEM) fuel cells. These tools, with their user-friendly interface, facilitate the calculation of the main parameters required to obtain the PEM fuel cell polarization curve, offering a seamless and intuitive experience. Various mathematical models and algorithms are coded to accurately calculate the parameters needed for the polarization curve analysis. This study presents the development and validation of a computational tool designed to simulate the performance of proton exchange membrane (PEM) fuel cells. The tool integrates thermodynamic and electrochemical equations to predict key operational parameters, and was validated using experimental data from a commercial Ballard® PEM fuel cell to ensure its accuracy. The validation process involved comparing the numerical predictions with empirical measurements under various operating conditions. The results demonstrate that the computational tool accurately replicates the performance characteristics observed in the experimental data, confirming its reliability and instilling confidence in its use for simulating PEM fuel cell behavior. This tool offers a valuable resource for optimizing fuel cell design and operation, providing insights into the efficiency, output, and potential areas for improvement. Future work will expand the tool’s capabilities to include degradation mechanisms and long-term performance predictions. This advancement underscores the tool’s potential as a comprehensive solution for academic research and industrial applications in fuel cell technology.