bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding Emotional Labor Dynamics in Participant Sport Service: A Conceptual Framework
Authors: Lee Ye Hoon
Published: September 2023

In the service industry, the quality of interactions between employees and customers is crucial for improving customer outcomes. Emotional labor, which involves managing one’s emotions to meet job requirements, is a significant aspect of these interactions. To address the lack of attention paid to emotional labor in participant sport contexts, this study proposes a conceptual framework that outlines the antecedents, consequences, and moderators of emotional labor strategies in participant sport service. The framework includes 25 propositions based on theories and empirical evidence from various scientific domains. More specifically, the conceptual framework consists of four main components: (a) intrapersonal and (b) interpersonal consequences; (c) moderators; and (d) antecedents of emotional labor. The study recommends that sport organizations should implement emotional labor training workshops to help employees engage in effective and health-beneficial emotional labor strategies specific to sport organization settings. Overall, this conceptual framework provides a foundation for understanding emotional labor in sport organizations and can help enhance customer outcomes and employee well-being in the participant sport service industry.
Interoperability between Deep Neural Networks and 3D Architectural Modeling Software: Affordances of Detection and Segmentation
Authors: Wei Chialing , Gupta Mohit , Czerniawski Thomas
Published: September 2023

Building owners are working on converting their legacy documentation 2D floor plans into digital 3D representations, but the manual process is labor-intensive and time-consuming. In this paper, deep learning is leveraged to automate the process. This automation requires interoperability between artificial neural networks and prevailing 3D modeling software. The system processes 2D floor plans and outputs parameters of recognized walls, single doors, double doors, and columns. The parameters include the start point and end point of the wall and the center point of the door and column. These parameters are input into Revit 2022 through the Revit API 2022 after post-processing. The dimensional parameter integration affordances of object detection and instance segmentation are studied and compared using Faster R-CNN and Mask R-CNN models. Instance segmentation was found to require more time for data labeling but was more capable of informing the modeling of irregularly shaped objects. The mean Average Precision (mAP) of object detection and instance segmentation are 71.7% and 69.3%, respectively. Apart from single doors, the average precision for other categories falls within the range of 74% to 96%. The results provide software developers with guidance on choosing between object detection and instance segmentation strategies for processing legacy building documents. These types of systems are anticipated to be pivotal to the industry’s transition from 2D to 3D information modalities and advise practitioners to carefully choose suitable models and consider the recommendations provided in this study to mitigate potential failure cases.
Modern Analytical Techniques for Berry Authentication
Authors: Carrillo Celia , Tomasevic Igor B. , Barba Francisco J. , Kamiloglu Senem
Published: September 2023

The health-related properties attributed to berries and the subsequent interest awakened within the market of functional foods mean that these small fruits may be potential targets for food fraud. In this review, studies on berry authentication through modern analytical techniques are discussed in detail. Most of the studies reported to date are related to chemical approaches, mainly chromatographic techniques. Other chemical (NMR, NIR, and Raman spectroscopy), biomolecular, and isotopic methods have also delivered promising results in the field of berry authentication, although there is still limited information available in this respect. Despite the potential of the methods described in the present review, to date, there is no universal one. Therefore, combinations of different approaches in order to complement each other are increasingly used (e.g., HPTLC and mass spectrometry; Raman and IR spectroscopies; biomolecular and analytical techniques…). Considering that adulteration practices are increasingly evolving, continuous research in the field of food authentication is needed, especially in the case of berries, since there are still some berry species that have not yet been included in any authentication study.
Cognitive Testing of Items Measuring Movement Behaviours in Young Children Aged Zero to Five Years: Development of the Movement Behaviour Questionnaires for -Baby (MBQ-B) and -Child (MBQ-C)
Authors: Byrne Rebecca , Terranova Caroline O. , Chai Li Kheng , Brookes Denise S. K. , Trost Stewart G.
Published: September 2023

This paper describes the cognitive interview phase of the development of two brief surveys, the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C), which measure the duration of physical activity, screen time, and sleep of children aged 0–5 years. The aims were (1) review the format, content, and clarity of questionnaire items and response options, (2) understand how parents retrieve, encode, and formulate responses when asked about their child’s movement behaviours, and (3) identify potential sources of response error and make appropriate modifications. Interviews with parents of children aged 0–5 years were conducted using concurrent think-aloud techniques and probing questions. Parents reviewed the MBQ-B and/or MBQ-C depending on the developmental stage of their child(ren). Twenty-nine interviews were conducted with 20 parents, over four iterative rounds. Participants recalled usual family routines and rules when estimating the duration/frequency of behaviours. To estimate active play, parents referred to the child’s daily routine considering wake and bedtimes, naps, and mealtimes. Participants were influenced by the examples provided, being unable to interpret these as exemplars only. Decomposing general items into specific questions with examples was well received. Use of numeracy skills when estimating duration was evident. Interviews informed revisions to item wording, examples, and recall prompts, which will be taken forward into the MBQ-B and MBQ-C validation studies. Utilising cognitive interviewing can enhance confidence that questionnaire items are correctly interpreted and understood by participants.
Statins in Children with Neurofibromatosis Type 1: A Systematic Review of Randomized Controlled Trials
Authors: Agouridis Aris P. , Palli Nikoletta , Karagiorga Vasiliki-Eirini , Konsoula Afroditi , Markaki Lamprini , Spernovasilis Nikolaos , Tsioutis Constantinos
Published: September 2023

Background: Statins, apart from their plasma-cholesterol-lowering ability, exert several pleiotropic effects, making them a potential treatment for other diseases. Animal studies have showed that statins, through the inhibition of 3-hydroxy-3-methylglutaryl coenzyme A reductase, can affect the Ras/MAPK pathway, thus providing impetus to examine the efficacy of statins in the pediatric population with neurofibromatosis type 1 (NF1). We aimed to systematically address all relevant evidence of statin treatment in children with NF1. Methods: We searched PubMed and Cochrane Library resources up to 2 June 2023 for randomized controlled trials (RCTs) written in English and evaluating statins versus placebo in children with NF1 (PROSPERO registration number: CRD42023439424). Results: Seven RCTs were suitable to be included in this qualitative synthesis, with a total participation of 336 children with NF1. The duration of the studies ranged from 12 to 52 weeks. The mean age of the pediatric population was 10.9 years old. Three studies investigated the role of simvastatin, while four studies examined lovastatin. According to our analysis, neither simvastatin nor lovastatin improved cognitive function, full-scale intelligence, school performance, attention problems, or internalizing behavioral problems when compared with placebo in children with NF1. Statins were well tolerated in all included RCTs. Conclusion: Although safe, current evidence demonstrates that statins exert no beneficial effect in cognitive function and behavioral problems in children with NF1.
Effect of Oral High Molecular Weight Hyaluronic Acid (HMWHA), Alpha Lipoic Acid (ALA), Magnesium, Vitamin B6 and Vitamin D Supplementation in Pregnant Women: A Retrospective Observational Pilot Study
Authors: Parente Eligio , Colannino Giulia , Bilotta Gabriele , Espinola Maria Salomé Bezerra , Proietti Sara , Oliva Mario Montanino , Neri Isabella , Aragona Cesare , Unfer Vittorio
Published: September 2023

Background—Pregnancy represents a nutritional challenge, since macro- and micronutrients intake can affect mother’ health and influence negative outcomes. The aim of this retrospective pilot study is to evidence whether the oral supplementation with high molecular weight hyaluronic acid (HMWHA), in association with alpha lipoic acid (ALA), magnesium, vitamin B6 and vitamin D, in pregnant women, could reduce adverse effects, such as PTB, pelvic pain, contraction and hospitalization. Methods—Data were collected from n = 200 women treated daily with oral supplements of 200 mg HMWHA, 100 mg ALA, 450 mg magnesium, 2.6 mg vitamin B6 and 50 mcg vitamin D (treatment group) and from n = 50 women taking with oral supplements of 400 mg magnesium (control group). In both groups, supplementation started from the 7th gestational week until delivery. Results—Oral treatment with HMWHA, in association with ALA, magnesium, vitamin B6 and vitamin D in pregnant women, significantly reduced adverse events, such as PTB (p < 0.01), pelvic pain and contractions (p < 0.0001), miscarriages (p < 0.05) and admission to ER/hospitalization (p < 0.0001) compared with the control group. Conclusions—Despite HMWHA having been poorly used as a food supplement in pregnant women, our results open a reassuring scenario regarding its oral administration during pregnancy.
Effect of Native Mucilage on the Mechanical Properties of Pectin-Based and Alginate-Based Polymeric Films
Authors: Van Rooyen Brandon , De Wit Maryna , Osthoff Gernot , Van Niekerk Johan , Hugo Arno
Published: September 2023

Although the benefits of polymeric blend films have been well-established, mucilages’ interaction with other commercial bio-based polymers remains greatly unknown. Pectin and alginate were used to develop such polymeric blend films, with the addition of both ‘Algerian’ and ‘Morado’ cultivar freeze-dried, native mucilage precipitate. Mucilage additions at 0.25% and 1% (w/w), together with glycerol at 60% (w/w), influenced the mechanical properties of the 5% (w/w) pectin–mucilage and 5% (w/w) alginate–mucilage blend films differently. ‘Morado’ mucilage positively influenced the pectin film tensile strength (TS) and puncture force (PF) measurements, increasing the overall film strength compared to the homopolymeric pectin films. Calcium chloride (CaCl2) treatment and increasing mucilage concentration further enhanced the composite pectin–mucilage film strength. Contrasting results were obtained for alginate blend films compared to those of pectin. Studying the scanning electron microscope (SEM) images of the microstructures of CaCl2-treated pectin–mucilage and alginate–mucilage films confirmed superior microstructural film networks for pectin–mucilage films, which resulted in enhanced film strength, where the lack of polymer compatibility, as seen with alginate–mucilage, resulted in decreased film strength. These results indicate that native mucilage should be considered when developing such blend polymeric films, as it has the potential to enhance the films’ strength and elasticity.
Agile Software Development Lifecycle and Containerization Technology for CubeSat Command and Data Handling Module Implementation
Authors: Liubimov Oleksandr , Turkin Ihor , Pavlikov Vladimir , Volobuyeva Lina
Published: September 2023

As a subclass of nanosatellites, CubeSats have changed the game’s rules in the scientific research industry and the development of new space technologies. The main success factors are their cost effectiveness, relative ease of production, and predictable life cycle. CubeSats are very important for training future engineers: bachelor’s and master’s students of universities. At the same time, using CubeSats is a cost-effective method of nearest space exploration and scientific work. However, many issues are related to efficient time-limited development, software and system-level quality assurance, maintenance, and software reuse. In order to increase the flexibility and reduce the complexity of CubeSat projects, this article proposes a “hybrid” development model that combines the strengths of two approaches: the agile-a-like model for software and the waterfall model for hardware. The paper proposes a new computing platform solution, “Falco SBC/CDHM”, based on Microchip (Atmel) ATSAMV71Q21 with improved performance. This type of platform emphasizes low-cost space hardware that can compete with space-grade platforms. The paper substantiates the architecture of onboard software based on microservices and containerization to break down complex software into relatively simple components that undergraduates and graduates can handle within their Master’s studies, and postgraduates can use for scientific space projects. The checking of the effectiveness of the microservice architecture and the new proposed platform was carried out experimentally, involving the time spent on executing three typical algorithms of different algorithmic complexities. Algorithms were implemented using native C (Bare-metal) and WASM3 on FreeRTOS containers on two platforms, and performance was measured on both “Falco” and “Pi Pico” by Raspberry. The experiment confirmed the feasibility of the complex application of the “hybrid” development model and microservices and container-based architecture. The proposed approach makes it possible to develop complex software in teams of inexperienced students, minimize risks, provide reusability, and thus increase the attractiveness of CubeSat student projects.
Theoretical Modeling of B12N12 Nanocage for the Effective Removal of Paracetamol from Drinking Water
Authors: Kainat  , Gul Sana , Ali Qaisar , Khan Momin , Rehman Munir Ur , Ibrahim Mohammad , AlAsmari Abdullah F. , Alasmari Fawaz , Alharbi Metab
Published: September 2023

In our current investigation, we employed a B12N12 nanocage to extract paracetamol from water utilizing a DFT approach. We explored three distinct positions of paracetamol concerning its interaction with the B12N12 nanocage, designated as complex-1 (BNP-1), complex-2 (BNP-2), and complex-3 (BNP-3), under both aqueous and gaseous conditions. The optimized bond distances exhibited strong interactions between the nanocage and the paracetamol drug in BNP-1 and BNP-3. Notably, BNP-1 and BNP-3 displayed substantial chemisorption energies, measuring at −27.94 and −15.31 kcal/mol in the gas phase and −30.69 and −15.60 kcal/mol in the aqueous medium, respectively. In contrast, BNP-2 displayed a physiosorbed nature, indicating weaker interactions with values of −6.97 kcal/mol in the gas phase and −4.98 kcal/mol in the aqueous medium. Our analysis of charge transfer revealed significant charge transfer between the B12N12 nanocage and paracetamol. Additionally, a Quantum Theory of Atoms in Molecules (QTAIM) analysis confirmed that the O─B bond within BNP-1 and BNP-3 exhibited a strong covalent and partial bond, encompassing both covalent and electrostatic interactions. In contrast, the H─N bond within BNP-2 displayed a weaker hydrogen bond. Further investigation through Noncovalent Interaction (NCI) and Reduced Density Gradient (RDG) analyses reinforced the presence of strong interactions in BNP-1 and BNP-3, while indicating weaker interactions in BNP-2. The decrease in the electronic band gap (Eg) demonstrated the potential of B12N12 as a promising adsorbent for paracetamol. Examining thermodynamics, the negative values of ∆H (enthalpy change) and ∆G (Gibbs free energy change) pointed out the exothermic and spontaneous nature of the adsorption process. Overall, our study underscores the potential of B12N12 as an effective adsorbent for eliminating paracetamol from wastewater.
Effect of the Hypoxic Chamber Training Series on Skin Characteristics of Overweight and Obese Women
Authors: Grodecka Anna , Czerwińska-Ledwig Olga , Dzidek Adrianna , Lis Wiktoria , Cwalińska Dorota , Kozioł Weronika , Teległów Aneta , Pałka Tomasz , Piotrowska Anna
Published: September 2023

Obesity is a disease of civilization. The COVID-19 pandemic has caused an increase in its incidence; therefore, there is an increasing emphasis on programs aimed at improving body composition, often through physical activity. Various modifications to training interventions are being introduced, including the modification of the thermo-climatic conditions of the training. However, to date, whether such a modification is safe for the skin has not been studied. The purpose of this study was to evaluate the effects of a series of workouts in a hypoxic chamber on skin characteristics such as elasticity, hydration, and transepidermal water loss (TEWL). Women who were overweight or obese were invited to participate in the project. The workouts took place in a hypoxic chamber where conditions were mimicked at 2500 m, three times a week for a period of four weeks, for 60 min each. Finally, the results from 11 women in the study group and 9 in the control group were included in the analysis. Body composition analysis was performed, and venous blood was drawn (morphology and lipidogram). No statistically significant changes in skin firmness or the amount of TEWL were observed in the subjects. An increase in skin hydration on the hand was observed only after the first workout (p = 0.046), while skin hydration on the mandible did not change. A significant reduction in body weight (p = 0.042), BMI (p = 0.045), and TBW (p = 0.017) was indicated in the study group. The control group showed an increase in BMI (p = 0.045) and VFA (p = 0.042). There was no correlation between measured skin characteristics and body composition indices or the results of blood indices. A correlation was observed between TEWL and lipidogram results. Training under hypoxic conditions does not affect skin features in overweight and obese women. Even a significant reduction in TBW did not result in a decrease in hydration. It was also shown that the proper barrier function of the skin is closely dependent on the serum lipid profile.
Association of ABO Blood Type with Infection and Severity of COVID-19 in Inpatient and Longitudinal Cohorts
Authors: Eatz Tiffany , Mantero Alejandro Max Antonio , Williams Erin , Cash Charles J. , Perez Nathalie , Cromar Zachary J. , Hernandez Adiel , Cordova Matthew , Godbole Neha , Le Anh , Lin Rachel , Luo Sherry , Patel Anmol , Abu Yaa , Pallikkuth Suresh , Pahwa Savita
Published: September 2023

The objectives of this study were to (1) investigate the association between human blood type and COVID-19 in both inpatient and longitudinal populations and (2) identify the association between blood type and severity of COVID-19 via presence of cellular biomarkers of severe infection in hospitalized individuals at our institution in South Florida. This study consisted of (1) a single-center retrospective analysis of 669 out of 2741 COVID-19-positive, screened patients seen from 1 January 2020 until 31 March 2021 at the University of Miami Emergency Department (ED) who tested positive for COVID-19 and had a documented ABO blood type and (2) a longitudinal SARS-CoV-2 immunity study (“CITY”) at the University of Miami Miller School of Medicine, consisting of 185 survey participants. In an inpatient setting, blood type appeared to be associated with COVID-19 severity and mortality. Blood type O sustained less risk of COVID-19 mortality, and blood type O- demonstrated less risk of developing COVID-19 pneumonia. Inpatients with O- blood type exhibited less biomarkers of severe infection than did other blood types. In a longitudinal setting, there was no association found between blood type and SARS-CoV-2 infection.
Localized Colonic Small-Cell Carcinoma with Pathological Complete Response after Neoadjuvant Cisplatin and Etoposide: A Case Report
Authors: Alía Navarro Víctor , Martínez Delfrade Íñigo , De Frutos González Belén , Morón García Blanca , Barrill Corpa Ana María , Sotoca Rubio Pilar , Peñas García Beatriz , Ferrer Gómez Ana , Perna Monroy Cristian , Ferreiro Monteagudo Reyes
Published: September 2023

Extrapulmonary small-cell carcinoma (SCC) is a rare neoplasm that shares certain features with its pulmonary counterpart and occurs predominantly in the gastrointestinal tract (GIT). It is a high-grade and poorly differentiated neuroendocrine tumor, usually diagnosed in advanced stages, with a poor prognosis and few therapeutic options in that setting. This is a case report of a 77-year-old Spanish male patient with localized SCC of the colon, who presented a pathological complete response in the surgical specimen after neoadjuvant chemotherapy with cisplatin and etoposide. To date, 5 years after surgery, the patient remains without evidence of tumor recurrence. As clinical guidelines for the management of this entity are lacking, and therefore its management has not been standardized, an attempt to summarize the current evidence in the literature was made.
The Impact of Oral Antibiotics Prior to Cancer Diagnosis on Overall Patient Survival: Findings from an English Population-Based Cohort Study
Authors: Domzaridou Eleni , Van Staa Tjeerd , Renehan Andrew G. , Cook Natalie , Welfare William , Ashcroft Darren M. , Palin Victoria
Published: September 2023

Background: There is limited evidence in humans as to whether antibiotics impact the effectiveness of cancer treatments. Rodent studies have shown that disruption in gut microbiota due to antibiotics decreases cancer therapy effectiveness. We evaluated the associations between the antibiotic treatment of different time periods before cancer diagnoses and long-term mortality. Methods: Using the Clinical Practice Research Datalink GOLD, linked to the Cancer Registry’s and the Office for National Statistics’ mortality records, we delineated a study cohort that involved cancer patients who were prescribed antibiotics 0–3 months; 3–24 months; or more than 24 months before cancer diagnosis. Patients’ exposure to antibiotics was compared according to the recency of prescriptions and time-to-event (all-cause mortality) by applying Cox models. Results: 111,260 cancer patients from England were included in the analysis. Compared with antibiotic prescriptions that were issued in the past, patients who had been prescribed antibiotics shortly before cancer diagnosis presented an increased hazard ratio (HR) for mortality. For leukaemia, the HR in the Cancer Registry was 1.32 (95% CI 1.16–1.51), for lymphoma it was 1.22 (1.08–1.36), for melanoma it was 1.28 (1.10–1.49), and for myeloma it was 1.19 (1.04–1.36). Increased HRs were observed for cancer of the uterus, bladder, and breast and ovarian and colorectal cancer. Conclusions: Antibiotics that had been issued within the three months prior to cancer diagnosis may reduce the effectiveness of chemotherapy and immunotherapy. Judicious antibiotic prescribing is needed among cancer patients.
Efficacy and Safety of Anti-HER2 Targeted Therapy for Metastatic HR-Positive and HER2-Positive Breast Cancer: A Bayesian Network Meta-Analysis
Authors: Wu Xian-Meng , Qian Yong-Kang , Chen Hua-Ling , Hu Chen-Hua , Chen Bing-Wei
Published: September 2023

Despite the development of HER2-targeted drugs, achieving favorable outcomes for patients with HR+/HER2+MBC remains challenging. This study utilized Bayesian Network Meta-analysis to compare the efficacy and safety of anti-HER2 combination regimens. The primary analysis focused on progression-free survival (PFS), while secondary analyses included objective response rate, overall survival (OS) and the incidence rate of grade 3/4 adverse events (AEs). A comprehensive search across seven databases identified 25 randomized controlled trials for inclusion in this meta-analysis. For patients eligible for endocrinotherapy, our findings revealed that dual-target combined endocrine therapy, such as Her2-mAb+Her2-mAb+Endo (HR = 0.38; 95%CrI: 0.16–0.88) and Her2-mAb+Her2-tki+Endo (HR = 0.45; 95%CrI: 0.23–0.89), significantly improved PFS compared to endocrine therapy alone. According to the surface under the cumulative ranking curves (SUCRAs), Her2-mAb+Her2-mAb+Endo and Her2-mAb+Her2-tki+Endo ranked highest in terms of PFS and OS, respectively. For patients unsuitable for endocrine therapy, anti-HER2 dual-target combined chemotherapy, such as Her2-mAb+Her2-mAb+Chem (HR = 0.76; 95%CrI: 0.6–0.96) and Her2-mAb+Her2-tki+Chem (HR = 0.48; 95%CrI: 0.29–0.81), demonstrated significant improvements in PFS compared to Her2-mAb+Chem. The results were the same when compared with Her2-tki+Chem. According to the SUCRAs, Her2-mAb+Her2-tki+Chem and Her2-mAb+Her2-mAb+Chem ranked highest for PFS and OS, respectively. Subgroup analyses consistently supported these overall findings, indicating that dual-target therapy was the optimal approach irrespective of treatment line.
Development of Multimode Flight Transition Strategy for Tilt-Rotor VTOL UAVs
Authors: Zhao Huimin , Wang Ban , Shen Yanyan , Zhang Yinong , Li Ni , Gao Zhenghong
Published: September 2023

The purpose of this paper is to establish a transition strategy for tilt-rotor vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) based on an optimal design method. Firstly, The flyable transition corridor was calculated based on both the UAV’s dynamic equations and its aerodynamic and dynamic characteristics. The dynamic equations of the UAV were organized into state equation forms. The initial and final value constraints of the control and state variables in the transition process were recorded, as were the constraints of the transition process. The transition strategy design problem was transformed into an optimal control problem with constraints, while the Gauss pseudospectral method (GPM) was employed to transform and solve the problem. In addition, performance indicators were designed based on the transition quality requirements for transition time, attitude stability, and control continuity. Sensitivity was analyzed according to different index terms with different dimensions and effects. Finally, the rationality of the transition strategy designed in this paper was verified according to different simulation scenarios.
Dynamical and Probabilistic Approaches to Irreversibility
Authors: Pérez-Cárdenas Fernando C.
Published: September 2023

Boltzmann’s H-theorem is considered a great triumph of science. Though some modifications are necessary to adapt it to modern dynamical theories, it is well established that one of its main tenets remains widely accepted: the introduction of probability is a key element in achieving a transition from time-reversible, deterministic dynamical laws at the microscopic level to irreversible laws describing the approach to equilibrium of isolated macroscopic systems. Thus, it is somehow surprising that we still find instances where this subject is labeled as paradoxical and elusive. More remarkable is the fact that this often happens in texts that succeed in presenting Boltzmann’s ideas with clarity. In order to shed light on how probability allows us to go form microscopic reversibility to macroscopic irreversibility, we use numerical results from a two-dimensional lattice gas composed of distinguishable particles. We discuss the roles played by noise, coarse graining, and probability. The simplicity of our model might help the newcomer to this area in better grasping Boltzmann’s fundamental breakthrough.
Physicochemical Mechanics and Nonequilibrium Chemical Thermodynamics
Authors: Kocherginsky Nikolai Meerovich
Published: September 2023

Equilibrium thermodynamics answers the question, “by how much?” Nonequilibrium thermodynamics answers the question “how fast?” The physicochemical mechanics approach presented in this article answers both of these questions. It also gives equilibrium laws and expressions for all major transport coefficients and their relations, which was previously impossible. For example, Onsager’s reciprocal relations only tell us that symmetric transport coefficients are equal, and even for these, the value is often not known. Our new approach, applicable to non-isolated systems, leads to a new formulation of the second law of thermodynamics and agrees with entropy increase in spontaneous processes for isolated systems. Instead of entropy, it is based on a modified Lagrangian formulation which always increases during system evolution, even in the presence of external fields. This article will present numerous examples of physicochemical mechanics can be applied to various transport processes and their equilibriums, including thermodiffusion and different surface processes. It has been proven that the efficiency of a transport process with an actual steady-state flux (as opposed to a reversible process near equilibrium) is 50%. Finally, an analogy between physicochemical mechanics and some social processes is mentioned.
A Novel Strategy for Extracting Richer Semantic Information Based on Fault Detection in Power Transmission Lines
Authors: Yan Shuxia , Li Junhuan , Wang Jiachen , Liu Gaohua , Ai Anhai , Liu Rui
Published: September 2023

With the development of the smart grid, the traditional defect detection methods in transmission lines are gradually shifted to the combination of robots or drones and deep learning technology to realize the automatic detection of defects, avoiding the risks and computational costs of manual detection. Lightweight embedded devices such as drones and robots belong to small devices with limited computational resources, while deep learning mostly relies on deep neural networks with huge computational resources. And semantic features of deep networks are richer, which are also critical for accurately classifying morphologically similar defects for detection, helping to identify differences and classify transmission line components. Therefore, we propose a method to obtain advanced semantic features even in shallow networks. Combined with transfer learning, we change the image features (e.g., position and edge connectivity) under self-supervised learning during pre-training. This allows the pre-trained model to learn potential semantic feature representations rather than relying on low-level features. The pre-trained model then directs a shallow network to extract rich semantic features for downstream tasks. In addition, we introduce a category semantic fusion module (CSFM) to enhance feature fusion by utilizing channel attention to capture global and local information lost during compression and extraction. This module helps to obtain more category semantic information. Our experiments on a self-created transmission line defect dataset show the superiority of modifying low-level image information during pre-training when adjusting the number of network layers and embedding of the CSFM. The strategy demonstrates generalization on the publicly available PASCAL VOC dataset. Finally, compared with state-of-the-art methods on the synthetic fog insulator dataset (SFID), the strategy achieves comparable performance with much smaller network depths.
Secure Ring Signature Scheme for Privacy-Preserving Blockchain
Authors: Wang Lin , Peng Changgen , Tan Weijie
Published: September 2023

Blockchain integrates peer-to-peer networks, distributed consensus, smart contracts, cryptography, etc. It has the unique advantages of weak centralization, anti-tampering, traceability, openness, transparency, etc., and is widely used in various fields, e.g., finance and healthcare. However, due to its open and transparent nature, attackers can analyze the ledger information through clustering techniques to correlate the identities between anonymous and real users in the blockchain system, posing a serious risk of privacy leakage. The ring signature is one of the digital signatures that achieves the unconditional anonymity of the signer. Therefore, by leveraging Distributed Key Generation (DKG) and Elliptic Curve Cryptography (ECC), a blockchain-enabled secure ring signature scheme is proposed. Under the same security parameters, the signature constructed on ECC has higher security in comparison to the schemes using bilinear pairing. In addition, the system master key is generated by using the distributed key agreement, which avoids the traditional method of relying on a trusted third authorizer (TA) to distribute the key and prevents the key leakage when the TA is not authentic or suffers from malicious attacks. Moreover, the performance analysis showed the feasibility of the proposed scheme while the security was ensured.
Exploring Focus and Depth-Induced Saliency Detection for Light Field
Authors: Zhang Yani , Chen Fen , Peng Zongju , Zou Wenhui , Zhang Changhe
Published: September 2023

An abundance of features in the light field has been demonstrated to be useful for saliency detection in complex scenes. However, bottom-up saliency detection models are limited in their ability to explore light field features. In this paper, we propose a light field saliency detection method that focuses on depth-induced saliency, which can more deeply explore the interactions between different cues. First, we localize a rough saliency region based on the compactness of color and depth. Then, the relationships among depth, focus, and salient objects are carefully investigated, and the focus cue of the focal stack is used to highlight the foreground objects. Meanwhile, the depth cue is utilized to refine the coarse salient objects. Furthermore, considering the consistency of color smoothing and depth space, an optimization model referred to as color and depth-induced cellular automata is improved to increase the accuracy of saliency maps. Finally, to avoid interference of redundant information, the mean absolute error is chosen as the indicator of the filter to obtain the best results. The experimental results on three public light field datasets show that the proposed method performs favorably against the state-of-the-art conventional light field saliency detection approaches and even light field saliency detection approaches based on deep learning.
Enhancing Cloud Communication Security: A Blockchain-Powered Framework with Attribute-Aware Encryption
Authors: R. Raghunandan K. , Kallapu Bhavya , Dodmane Radhakrishna , S. Krishnaraj Rao N. , Thota Srinivasarao , Sahu Aditya Kumar
Published: September 2023

The global production of information continuously increases in quantity and variety. However, the tools and technologies developed to handle such large volumes of data have not adequately met the security and privacy requirements. Existing cloud security systems, often managed by a trusted third party, are susceptible to various security risks. To address these challenges and ensure the protection of personal information, blockchain technology emerges as a crucial solution with substantial potential. This research uses the blockchain-powered attribute-aware encryption method to establish a real-time secure communication approach over the cloud. By employing attribute-based encryption technology, data owners can implement fine-grained search permissions for data users. The proposed solution incorporates accessible encryption technology to enable secure access to encrypted data and facilitate keyword searches on the blockchain. This study provides a functional comparison of recently developed attribute-based encryption algorithms. The access control strategy comprises two access tree types and a linear secret-sharing system, serving as the main components. The elliptic curve’s base field was set to 512b, and the bilinear pairing parameter type used was Type-A. This approach involves storing keywords on a remote server and encrypting them using attribute-based encryption. Furthermore, the encrypted data blockchain and the corresponding ciphertext are stored in the blockchain. Numerical experiments were conducted to evaluate the system’s key generation, trapdoor building, and keyword retrieval capabilities.
Performance Validation of Resonant Wave Power Converter with Variable Moment of Inertia
Authors: Kim In-Ho , Kim Byeong-Ryong , Jang Seon-Jun
Published: September 2023

This study focuses on the performance validation of a wave energy converter (WEC) equipped with resonant frequency adjustment capability. Achieving resonance with the oscillation period of waves is crucial for maximizing the efficiency of wave energy conversion systems. For this purpose, we introduce a variable moment of inertia (VMI) device that allows for tuning of the resonant frequency by adjusting the position of the mass. For validation of the proposed approach, performance verification experiments were conducted using a vibration platform. Through free vibration experiments, we identified the system’s resonant frequency and characteristics. In our forced vibration tests considering the wave frequency band of the coastal area, harmonic vibration experiments were performed over a range of 0.4–0.8 Hz. In these experiments, we considered three separate cases by adjusting the distance from the reel’s center to the mass. As a result, we found that the resonant frequency of the WEC can be adjusted from 0.65 Hz when the mass is furthest away to 0.55 Hz when it is closer. This research confirms the benefits obtained by utilizing VMI to adjust the resonant frequency of WECs without changing the mass or springs. This offers a promising opportunity to enhance the energy conversion efficiency of resonant-type WECs utilizing wave energy.
Fluid–Structure Interaction Analysis of a Wind Turbine Blade with Passive Control by Bend–Twist Coupling
Authors: Tamayo-Avendaño Jorge Mario , Patiño-Arcila Ivan David , Nieto-Londoño César , Sierra-Pérez Julián
Published: September 2023

The idea of improving the energy output for small wind turbines without compromising the remaining aspects of the technology, such as costs and structural integrity, is very appealing in the context of the growing concern for global warming and the goal of providing electricity to remote and isolated regions. This work aims to contribute to the development of distributed wind generation by exploring the effects of bend–twist coupling on the performance of a wind turbine with a focus on a small rotor based on the NREL Phase VI blade geometry. After defining a structure in composite materials exhibiting the coupling behavior along with a reference counterpart, a comparative numerical analysis is performed using a Fluid–Structure Interaction (FSI) analysis. The main numerical framework is based on commercial software and consists of a finite-volume solver for fluid physics, a finite-element solver for solid physics, and a coupling interface for the interaction problem. The results, complemented with the predictions from a one-way analysis based on the blade-element momentum theory are used to define the increments in rotor torque. The analysis of the annual energy yield shows a 3% increase due to the bend–twist coupling used as a passive pitch mechanism, considering a Rayleigh distribution with an 11 m/s average wind speed. Simultaneously, the coupling causes increments of 0.2% and 0.3% for the blade root flapwise moment and the rotor thrust force, respectively, when considering parked conditions and a simplified extreme wind model.
Heat Storage for Cooking: A Discussion on Requirements and Concepts
Authors: Nydal Ole Jørgen
Published: September 2023

Methodologies for direct and indirect solar energy for cooking are discussed. Clean and renewable energy solutions for cooking are, in particular, in demand in the sub-Saharan region where fuel wood is the main source of energy for a large part of the population, in particular in off-grid communities. As solar radiation is intermittent, energy storage solutions are required to provide cooking power during off-sun hours. Electrical batteries can be feasible for low-power applications (lights, electronics, and chargers) but tend to be costly and short-lived solutions for high-power cooking requirements. Heat battery concepts are discussed here together with prototype examples of latent and sensible heat storage solutions which have been laboratory tested for cooking and frying. Simplified computational comparisons between latent and sensible heat storage options show that oil and rock bed sensible heat systems, with a natural convection heat transfer, can be designed to provide variable cooking power levels. Oversized sensible heat storage systems can approach the near constant temperature and heat storage properties of a latent heat system. Latent heat storage systems can be more suitable for frying than for cooking applications.
Impact of the New Electricity Remuneration Scheme on the Waste-to-Energy Recovery Activity in Portugal
Authors: Silva Mário , Lagarto João , Sousa Jorge , Mil-Homens Feliz , Viveiros Carla , Barata Filipe
Published: September 2023

The remuneration scheme for the electricity produced by Waste-to-Energy (WtE) recovery plants has changed recently in Portugal according to 2020 legislation. The new model, linking the electricity remuneration from WtE plants to the spot electricity prices, is expected to bring greater uncertainty in the waste activity, which is a novelty for the sector. In Portugal, Valorsul is the municipal waste treatment entity responsible for the recovery and treatment of municipal solid waste (MSW) produced in 19 municipalities in the Lisbon area. This paper highlights the impact of the new Portuguese electricity remuneration scheme for electricity from waste on Valorsul’s WtE plant. For this purpose, the new remuneration scheme is modeled and simulated based on electricity spot market price scenarios, which are compared with the base case scenario of the former remuneration scheme. Considering different electricity prices for the electricity produced by the WtE plant, the present study anticipates the consequences of the gate-fee of such regulatory changes. Results show that any price changes in the electricity remuneration scheme are offset by equivalent changes in the waste gate-fee. Consequently, the change in the remuneration of the electricity from the WtE plant is, in fact, neutral for the Valorsul accounts and lower revenues from the electricity generation activity of the WtE will negatively impact the gate-fee prices paid by the waste users.
Short-Term Power Load Forecasting: An Integrated Approach Utilizing Variational Mode Decomposition and TCN–BiGRU
Authors: Zou Zhuoqun , Wang Jing , E Ning , Zhang Can , Wang Zhaocai , Jiang Enyu
Published: September 2023

Accurate short-term power load forecasting is crucial to maintaining a balance between energy supply and demand, thus minimizing operational costs. However, the intrinsic uncertainty and non-linearity of load data substantially impact the accuracy of forecasting results. To mitigate the influence of these uncertainties and non-linearity in electric load data on the forecasting results, we propose a hybrid network that integrates variational mode decomposition with a temporal convolutional network (TCN) and a bidirectional gated recurrent unit (BiGRU). This integrated approach aims to enhance the accuracy of short-term power load forecasting. The method was validated on load datasets from Singapore and Australia. The MAPE of this paper’s model on the two datasets reached 0.42% and 1.79%, far less than other models, and the R2 reached 98.27% and 97.98, higher than other models. The experimental results show that the proposed network exhibits a better performance compared to other methods, and could improve the accuracy of short-term electricity load forecasting.
Recovery of Lithium from Oilfield Brines—Current Achievements and Future Perspectives: A Mini Review
Authors: Knapik Ewa , Rotko Grzegorz , Marszałek Marta
Published: September 2023

In recent years there has been a significant increase in the demand for lithium all over the world. Lithium is widely used primarily in the production of batteries for electric vehicles and portable electronic devices, and in many other industries such as production of aluminum, ceramics, glass, polymers, greases, and pharmaceuticals. In order to maintain the balance between supply and demand for lithium on the global market, it is essential to search for alternative sources of this element. Therefore, efforts are being made to obtain lithium from unconventional sources, an example of which is the recovery of lithium from oilfield brines. This article provides an up-to-date review of the literature in this particular field based on data from different sources (scientific literature databases, patent databases, company websites and industrial online newspapers). The current achievements and future perspectives for the lithium recovery from brines generated during oil and gas extraction were critically reviewed. An emphasis was placed on chemistry of lithium-contained oilfield brines, technologies (both pretreatment and direct lithium extraction) suitable for lithium recovery and industrial results obtained from pilot trials.