bluuebunny/crossref_metadata_2025 huggingface dataset:
Solid Acid–Base Catalysts Based on Layered Double Hydroxides Applied for Green Catalytic Transformations
Authors: You Xiaolu , Chen Lishi , He Shan , Zhang Guiju
Published: December 2023

Layered double hydroxides (LDHs) have emerged as promising catalysts for various acid–base catalytic reactions. Due to their unique structure and regulatable dual acid–base properties, they offer more environmentally friendly and sustainable alternatives to traditional liquid acid and base catalysts. This study introduces the structural composition, preparation methods, and acid–base catalytic properties of LDH-based catalysts. Recent application progress in LDHs and rehydrated LDHs, LDH-based metal nanocatalysts, and LDH-based mixed metal oxide catalysts used as solid acid–base catalysts in acid–base green catalytic conversion is reviewed. The challenges and prospects of LDH-based catalysts as green and sustainable catalysts are summarized and proposed.
Characterisation of Morphological Patterns for Land Surface Temperature Distribution in Urban Environments: An Approach to Identify Priority Areas
Authors: García-Pardo Karina Angélica , Moreno-Rangel David , Domínguez-Amarillo Samuel , García-Chávez José Roberto
Published: December 2023

The validated influence of urban biophysical structure on environmental processes within urban areas has heightened the emphasis on studies examining morphological patterns to determine precise locations and underlying causes of urban climate conditions. The present study aims to characterise morphological patterns describing the distribution of Land Surface Temperature (LST) based on a prior classification of biophysical variables, including urban density (building intensity and average height), surface characteristics, shortwave solar radiation (broadband albedo), and seasonal variations in vegetation cover (high, medium, and low levels), retrieved from multisource datasets. To describe the distribution of LST, the variables were calculated, classified, and subsequently, analysed individually and collectively concerning winter and summer LST values applied in an urban neighbourhood in Madrid, Spain. The results from the analytical approaches (observation, correlations, and multiple regressions) were compared to define the morphological patterns. The selection of areas resulting from the morphological patterns with the most unfavourable LST values showed agreement of up to 89% in summer and up to 70% for winter, demonstrating the feasibility of the methods applied to identify priority areas for intervention by season. Notably, low and high vegetation levels emerged as pivotal biophysical characteristics influencing LST distribution compared to the other characteristics, emphasising the significance of integrating detailed seasonal vegetation variations in urban analyses.
Correction: Faisal et al. Curcuma longa Mediated Synthesis of Copper Oxide, Nickel Oxide and Cu-Ni Bimetallic Hybrid Nanoparticles: Characterization and Evaluation for Antimicrobial, Anti-Parasitic and Cytotoxic Potentials. Coatings 2021, 11, 849
Authors: Faisal Shah , Al-Radadi Najlaa S. , Jan Hasnain , Abdullah  , Shah Sajjad Ali , Shah Sumaira , Rizwan Muhammad , Afsheen Zobia , Hussain Zahid , Uddin Muhammad Nazir , Idrees Muhammad , Bibi Nadia
Published: December 2023

In the original publication [...]
Comprehensive Fatigue Analysis and Practical Design Methodology for Weld Toes in the Sphere of Welded Hollow Spherical Joints in Grid Structures
Authors: Yan Yajie , Guo Saicong , Zhou Zichun
Published: December 2023

This paper addresses the issue of fatigue in grid structures, a topic of interest in engineering and academia. The goal is to establish a practical fatigue design calculation method for weld toes in welded hollow spherical joints (WHSJs). The study focuses on commonly used steel tube-WHSJs in grid structures, conducting 25 constant amplitude and four variable amplitude fatigue tests on tube–sphere joints (TSJs) to derive corresponding S-N curves. Using ANSYS, the hot spot stress concentration coefficient Kh at the weld toes in 22 TSJs was calculated, resulting in a numerical solution for Kh ranging from 2.0550 to 4.8600. Based on this, fatigue design methods were established using nominal stress amplitude and hot spot stress amplitude as fundamental parameters. Within a fatigue design reference period of two million cycles, the allowable nominal stress amplitude for TSJs is 22 N/mm2, and the allowable hot spot stress amplitude is 66 N/mm2. The study also conducted macroscopic and microscopic analyses on fatigue fractures of TSJs, revealing that the weld toe in the sphere of TSJs is the primary site for fatigue crack initiation. This research provides practical calculation methods for fatigue design in WHSJ grid structures, contributing to their broader application.
Improved Cervical Lymph Node Characterization among Patients with Head and Neck Squamous Cell Carcinoma Using MR Texture Analysis Compared to Traditional FDG-PET/MR Features Alone
Authors: van Staalduinen Eric K. , Matthews Robert , Khan Adam , Punn Isha , Cattell Renee F. , Li Haifang , Franceschi Ana , Samara Ghassan J. , Czerwonka Lukasz , Bangiyev Lev , Duong Tim Q.
Published: December 2023

Accurate differentiation of benign and malignant cervical lymph nodes is important for prognosis and treatment planning in patients with head and neck squamous cell carcinoma. We evaluated the diagnostic performance of magnetic resonance image (MRI) texture analysis and traditional 18F-deoxyglucose positron emission tomography (FDG-PET) features. This retrospective study included 21 patients with head and neck squamous cell carcinoma. We used texture analysis of MRI and FDG-PET features to evaluate 109 histologically confirmed cervical lymph nodes (41 metastatic, 68 benign). Predictive models were evaluated using area under the curve (AUC). Significant differences were observed between benign and malignant cervical lymph nodes for 36 of 41 texture features (p < 0.05). A combination of 22 MRI texture features discriminated benign and malignant nodal disease with AUC, sensitivity, and specificity of 0.952, 92.7%, and 86.7%, which was comparable to maximum short-axis diameter, lymph node morphology, and maximum standard uptake value (SUVmax). The addition of MRI texture features to traditional FDG-PET features differentiated these groups with the greatest AUC, sensitivity, and specificity (0.989, 97.5%, and 94.1%). The addition of the MRI texture feature to lymph node morphology improved nodal assessment specificity from 70.6% to 88.2% among FDG-PET indeterminate lymph nodes. Texture features are useful for differentiating benign and malignant cervical lymph nodes in patients with head and neck squamous cell carcinoma. Lymph node morphology and SUVmax remain accurate tools. Specificity is improved by the addition of MRI texture features among FDG-PET indeterminate lymph nodes. This approach is useful for differentiating benign and malignant cervical lymph nodes.
The Dynamics of Fund Absorption: Evaluating the Efficacy of EU Structural Funds in Mitigating Regional Inequalities—Calabrian Case
Authors: Muñoz-Fernández Guzmán A. , Bertucci Angela , Ramos-Ruiz José E. , Garo Maria Luisa
Published: December 2023

The European Union aims for territorial cohesion, with human capital as a key factor. Assessing how investment in regional human capital enhances this cohesion is therefore essential. This study assesses the impact of the EU Structural Funds (ESFs) in Calabria (Italy), a region grappling with economic challenges and a brain drain phenomenon. Aimed at fostering regional cohesion, ESFs have been directed towards supporting Calabrian graduates’ pursuit of master’s degrees, intending to incentivize their retention or return postgraduation. A comprehensive survey of the beneficiaries of these subsidies was carried out to determine their employability in the region and the probability of the return of migrants, analyzed by logistic regression of the data. Results demonstrate a dual effect: while the quality of education and EU funding positively influence graduates to work in Calabria, acquiring advanced skills paradoxically diminishes this propensity. Moreover, although the likelihood of returning to Calabria for those working elsewhere does increase, ESF support counterintuitively reduces this probability. The findings reveal a vicious cycle; they equip graduates with high-level skills that facilitate their access to the labor market but simultaneously encourage their migration due to more favorable conditions elsewhere. It is suggested that synergies between ESF-funded policies and those supported by the European Regional Development Fund (ERDF) should be encouraged.
Design of a Configurable Five-Stage Pipeline Processor Core Based on RV32IM
Authors: Chang Yiyang , Liu Yiming , Peng Chong , Guo Jiarui , Zhao Yi
Published: December 2023

With the rapid development of the electronics industry, the scale of the global Internet of Things (IoT) industry has shown an exponential growth trend in recent years. The huge demand for IoT equipment makes low cost an important indicator for the sustainable operation of the entire IoT system. However, IoT chips also require a certain amount of performance to perform complex tasks. Aiming at the above contradiction between performance and cost, this paper proposes a configurable five-stage pipeline processor core based on RV32IM. The proposed processor core has multiple configurable modules to suit different application scenarios. In low-power mode, the proposed architecture implements only an RV32I subset, while in high-performance mode, integer division and multiplication extensions are added. Meanwhile, the processor core will also support super and user privilege levels and is equipped with CSR (Control and Status Registers). The module-level and system-level simulations of the proposed architecture are completed using a fully open-source workflow based on verilator and gtkwave. In addition, the design was prototyped and verified with FPGA. The proposed processor outperforms the performance of the classic MCU-CortexM3.
A Double-Blind Trial Platform Based on Distributed Ledger Technology
Authors: Yeh Yi-Hong , Hsueh Sheng-Chun , Liang Tyng-Yeu
Published: December 2023

In the pharmaceutical research and development process, the third phase of clinical trials involves double-blind trials to mitigate the influence of human subjective awareness on the experimental results and ensure the efficacy and safety of drugs or vaccines. However, conventional double-blind trials are often overseen by a single institution responsible for the entire trial process. Researchers centrally manage data, introducing risks of data loss and tampering. Furthermore, since researchers have full access to all experimental data, there is a potential for premature unblinding and leakage of results to specific individuals, giving rise to bias and conflicts of interest. To address these problems, this paper proposes a distributed-ledger-based double-blind trial platform called “BlindBox”. This platform leverages the immutability and decentralization of distributed ledgers to enhance the security of experimental data. On the other hand, the platform employs smart contracts to restrict personnel’s access to experimental data, coupled with RFID technology to encode and shuffle the experimental drugs discreetly. This ensures that no one can ascertain the pairing between test subjects and drug groups, preventing collusion and result manipulation. When the trial period concludes, smart contracts automatically unblind the results and publish them on the IOTA platform. By utilizing IOTA’s zero-value transactions, the platform reduces the cost of repeated data access and ensures information openness and transparency. This approach prevents deliberate premature unblinding or insider trading stemming from monopolized information. The platform proposed in this study is expected to enhance the credibility and accuracy of double-blind trials while promoting the willingness and convenience of public participation in experiments.
A Comparison of Dynamic Gait Stability between the Young and Elderly Female Populations Using the Zero-Moment Point Method
Authors: Han Sang Kuy , Ko Jeong-Bae , Yu Yeonwoo , Hong Jae-Soo , Ryu Jei-Cheong , Lee Ki Kwang , Kang Sung-Jae
Published: December 2023

A compromised stability in the elderly population is considered a major factor for fall risk assessment. The dynamic stability of human gait with various mathematical metrics has been extensively studied to find a prediction index and fall prevention strategies that can be embedded in a wearable monitoring sensor. In this study, the zero-moment point method (ZMP) was utilized for analyzing the gait stability of young and elderly female populations. Participants in the young and elderly female groups with no musculoskeletal disorders and fall experience were asked to walk at a habitual speed on 10 m flat ground. Dynamic instability is defined by the percentage of the ZMP values that fall outside the base of support during one gait cycle. The ZMP trajectory between the left and right leg swing was not symmetrical considering flat-ground walking. Also, there was no statistical difference in the dynamic stability in the anterior–posterior direction (71.3 ± 7.9% for the young group and 73.6 ± 7.6% for the elderly group), but walking in the medial–lateral direction was more stable in the elderly group (53.9 ± 8.6%) than in the young group (44.1 ± 11.2%) because the habitual walking speed decreased in the elderly group.
An Accurate Torque Control Strategy for Permanent Magnet Synchronous Motors Based on a Multi-Closed-Loop Regulation Design
Authors: Ji Feifan , Song Qingyu , Li Yanjun , Cao Ran
Published: December 2023

Torque control accuracy is a significant index of permanent magnet synchronous motors (PMSMs) and affects the safety of many applications greatly. Due to the strong nonlinearity of the motor as well as the disturbance of non-ideal factors such as temperature fluctuation and the parameter error in field-oriented control (FOC), it is undoubtedly difficult to accurately control the actual output torque. Meanwhile, the parameter differences between motors and sensors during mass production and the assembly process affect the consistency of output torque and even increase the factory failure rate of the motor. No torque sensor is implemented due to the cost and limited space. Accurate estimation of the motor torque becomes essential to realize the closed-loop feedback for torque and improve the accuracy at a lower cost. In this paper, a look-up table (LUT) model that can reflect the nonlinear mapping relationship between power and torque is established based on numerous offline experiments, which avoids the calculation of complex losses. A multi-closed-loop control strategy is proposed to dynamically adjust the amplitude and angle of the preset current command, respectively, to improve the torque accuracy. The effectiveness of the strategy has been validated by experimental results.
The Methods of Assessing the Efficiency of a Virtual Power Plant—Case Study
Authors: Ropuszyńska-Surma Edyta , Węglarz Magdalena
Published: December 2023

In the case of new investment in RES technology, there are two issues related to efficiency assessment. The first one is how to join technical, financial and economic efficiency assessments in one. An investment feasibility study is usually conducted through a financial analysis to obtain the internal rate of return and the net present value. However, a new RES investment is typically financially unprofitable unless the environmental and social aspects are included. The second one is a lack of required financial data. The new RES investment is often innovative and neither the owner nor other entities have financial data on the operating costs and expenditure for the last periods. Therefore, in this paper, we proposed two methods of efficiency assessment. The first one is based on the avoided costs theory. Furthermore, the second one belongs to heuristic methods and is based on the experts’ assessment of different kinds of parameters. The purpose of this study is to assess the efficiency of the pilot project of VPPs using two recommended methods. This paper emphasizes the advantages and disadvantages of each method. The actual technical and financial data for the period of six months from the pilot study were calculated.
Study on the Effect of Coupled Internal and External EGR on Homogeneous Charge Compression Ignition under High Pressure Rise Rate
Authors: Tian Huayu , Wang Jun , Zhang Ran , Wang Fan , Su Yan , Wang Yaodong
Published: December 2023

This paper investigated the effects of exhaust gas recirculation (EGR) on homogeneous charge compression ignition (HCCI) combustion in internal combustion engines. The exhaust valve closing (EVC) timings were scanned to obtain a set of baseline operating points for HCCI, and the coupling control of the internal and external EGR was explored. The results indicate that external EGR delays HCCI ignition timing and slows down the combustion speed. As the internal EGR rate increases, the maximum external EGR ratio that can be tolerated decreases. For HCCI detonation operating points with low internal EGR rates, the addition of up to 10% of external EGR can control the pressure rise rate peak to less than 10 bar/°CA, resulting in reduced fuel consumption and increased indicated mean effective pressure (IMEP). However, for HCCI operating points with high internal EGR rates, the effect of external EGR is mainly observed in the control of the pressure rise rate, with limited increase in IMEP. Additionally, an increasing external EGR rate leads to a significant decrease in nitrogen oxide (NOx) emissions, while carbon monoxide (CO) and hydrocarbon (HC) emissions slightly increase before engine misfire occurs. These findings suggest that the coupling control of internal and external EGR should be explored further, particularly in relation to reducing the negative valve overlap (NVO) angle and improving combustion efficiency.
A Scalable Hierarchical Dynamic PV Array Reconfiguration under Partial Shading
Authors: Ameen Fatimah , Siddiq Abdulrahman , Trohák Attila , Benotsmane Rabab
Published: December 2023

Photovoltaic (PV) arrays are often affected by partial shading (PS), which can significantly reduce their power output. Dynamic reconfiguration is a promising technique for mitigating the negative effects of PS by adjusting the electrical connections of the PV modules in real-time. This paper introduces a hierarchical-based switching block scheme for the dynamic reconfiguration of PV arrays under PS conditions. With the aim of mitigating the negative impact of PS on PV arrays, the proposed system employs a low complexity and easily scalable architecture, making it well-suited for practical applications. Comparative assessments against conventional configurations such as bridge-linked (BL), total-cross-tied (TCT), and series–parallel (SP) reveal superior energy harvesting efficiency for the proposed system under various shading conditions. The hierarchical switching block architecture, featuring multiple levels of switching blocks, enables efficient and flexible reconfiguration of the PV array, even in the presence of complex shading patterns. Through extensive simulations, the system consistently outperforms conventional configurations by adapting effectively to changing shading patterns and optimizing the PV array’s output. The proposed switching block (SB) reconfiguration technique significantly outperforms existing methods like TCT, Sudoku, dynamic proposals, and Magic Square in terms of both power generation (up to 42.52% increase) and efficiency (up to 42.13% improvement) under diverse partial shading conditions. The proposed hierarchical-based switching block scheme thus presents a promising solution for enhancing the dynamic reconfiguration of PV arrays under PS conditions, offering a balance between low complexity, scalability, and superior energy harvesting efficiency for practical applications in the realm of solar energy.
Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle
Authors: Egwim Christian Nnaemeka , Alaka Hafiz , Demir Eren , Balogun Habeeb , Olu-Ajayi Razak , Sulaimon Ismail , Wusu Godoyon , Yusuf Wasiu , Muideen Adegoke A.
Published: December 2023

In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, artificial intelligence (AI), is recognized as an essential element within the paradigm of digital transformation, having been widely adopted across different industries. Also, AI is anticipated to open a slew of new possibilities for how construction projects are designed and built. To obtain a better knowledge of the trend and trajectory of research concerning AI technology application in the construction industry, this research presents an exhaustive systematic review of seventy articles toward AI applicability to the entire lifecycle of the construction value chain identified via the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review’s findings show foremostly that AI technologies are mostly used in facility management, creating a huge opportunity for the industry to profit by allowing facility managers to take proactive action. Secondly, it shows the potential for design expansion as a key benefit according to most of the selected literature. Finally, it found data augmentation as one of the quickest prospects for technical improvement. This knowledge will assist construction companies across the world in recognizing the efficiency and productivity advantages that AI technologies can provide while helping them make smarter technology investment decisions.
Smart Grid Security: A PUF-Based Authentication and Key Agreement Protocol
Authors: Bagheri Nasour , Bendavid Ygal , Safkhani Masoumeh , Rostampour Samad
Published: December 2023

A smart grid is an electricity network that uses advanced technologies to facilitate the exchange of information and electricity between utility companies and customers. Although most of the technologies involved in such grids have reached maturity, smart meters—as connected devices—introduce new security challenges. To overcome this significant obstacle to grid modernization, safeguarding privacy has emerged as a paramount concern. In this paper, we begin by evaluating the security levels of recently proposed authentication methods for smart meters. Subsequently, we introduce an enhanced protocol named PPSG, designed for smart grids, which incorporates physical unclonable functions (PUF) and an elliptic curve cryptography (ECC) module to address the vulnerabilities identified in previous approaches. Our security analysis, utilizing a real-or-random (RoR) model, demonstrates that PPSG effectively mitigates the weaknesses found in prior methods. To assess the practicality of PPSG, we conduct simulations using an Arduino UNO board, measuring computation, communication, and energy costs. Our results, including a processing time of 153 ms, a communication cost of 1376 bits, and an energy consumption of 13.468 mJ, align with the requirements of resource-constrained devices within smart grids.
Utilizing User Bandwidth Resources in Information-Centric Networking through Blockchain-Based Incentive Mechanism
Authors: Liu Qiang , Han Rui , Li Yang
Published: December 2023

Idle bandwidth resources are inefficiently distributed among different users. Currently, the utilization of user bandwidth resources mostly relies on traditional IP networks, implementing relevant techniques at the application layer, which creates scalability issues and brings additional system overheads. Information-Centric Networking (ICN), based on the idea of separating identifiers and locators, offers the potential to aggregate idle bandwidth resources from a network layer perspective. This paper proposes a method for utilizing user bandwidth resources in ICN; specifically, we treat the use of user bandwidth resources as a service and assign service IDs (identifiers), and when network congestion (the network nodes are overloaded) occurs, the traffic can be routed to the user side for forwarding through the ID/NA (Network Address) cooperative routing mechanism of ICN, thereby improving the scalability of ICN transmission and the utilization of underlying network resources. To enhance the willingness of users to contribute idle bandwidth resources, we establish a secure and trustworthy bandwidth trading market using blockchain technology. We also design an incentive mechanism based on the Proof-of-Network-Contribution (PoNC) consensus algorithm; users can “mine” by forwarding packets. The experimental results show that utilizing idle bandwidth can significantly improve the scalability of ICN transmission under experimental conditions, bringing a maximum throughput improvement of 19.4% and reducing the packet loss rate. Compared with existing methods, using ICN technology to aggregate idle bandwidth for network transmission will have a more stable and lower latency, and it brings a maximum utilization improvement of 13.7%.
Raman Spectra of Delignified Plant Fibers: Exploring the Impact of Xylan’s Presence on the Spectral Features of Cellulose
Authors: Agarwal Umesh P. , Ralph Sally A.
Published: December 2023

Wood and plants are made of fibers that contain, in addition to cellulose, lignin and hemicelluloses. Xylan and galactoglucomannan are the dominant secondary cell wall hemicelluloses. In modern times, fibers are important materials for the biorefinery industry and for developing biocomposites. For these and other applications, the structural analysis of fibers is important, and Raman spectroscopy is among the many analytical techniques used. However, given the structural similarity between hemicelluloses and cellulose, many of their Raman contributions overlap, and the extent to which the overlapping features of hemicellulose modify the spectrum of cellulose is not yet fully understood. The present investigation focuses on this aspect by examining xylan, one of the hemicelluloses. As a model system, samples with various mass ratios of cotton microcrystalline cellulose (MCC) and xylan (birch wood) were prepared and analyzed using FT-Raman spectroscopy. In most cases, the Raman intensities were sample-composition-dependent, and, when the selected band intensities were plotted against the xylan content, good linear correlations (with an R2 between 0.69 and 1.0) were obtained. The results indicated that with increased xylan content, the peak intensities increased at 1460, 898, and 494 cm−1 and declined at 1480, 1121, 1096, and 520 cm−1. Additionally, intensity changes (%) in the MCC bands with respect to MCC’s fractions in various mixture samples showed that, in most cases, the mixture intensities increased and were highly correlated with the xylan amounts in the mixtures (with an R2 between 0.75 and 0.97). These findings were applied to interpret Raman spectra of selected xylan-containing delignified plant fibers. It is hoped that the insights gained in this study will allow for better interpretation of the spectra of natural and treated plant materials.
Phenolic Compounds and Antioxidant Properties of Fermented Beetroot Juices Enriched with Different Additives
Authors: Jakubczyk Karolina , Melkis Klaudia , Janda-Milczarek Katarzyna , Skonieczna-Żydecka Karolina
Published: December 2023

Fermented beetroot juice is a beverage obtained from the fermentation of beetroot, most commonly red beet (Beta vulgaris L. var. conditiva). Nowadays, this product is increasingly recognised as a functional food with potentially beneficial health properties. It has been suggested to have antioxidant, anti-inflammatory, anticancer, antihypertensive, immunomodulatory, and probiotic effects, among others. Moreover, with the increasing popularity of the drink, newer variants are appearing in the food market, obtained by modifying the traditional recipe, adding other raw materials, herbs, and spices. Therefore, the aim of this study was to evaluate and compare the antioxidant potential and phytochemical composition of the selected fermented beetroot juices in different flavour variants available in the Polish food market. The study material consisted of six fermented beetroot juices: traditional, with garlic, with horseradish, with acerola, without salt, and iodized. The obtained results showed that the addition of acerola, horseradish, garlic, salt, and iodine in the form of sodium iodide and potassium iodide influenced the composition and properties of fermented beetroot juice. The most promising product in terms of potentially beneficial health properties related to the prevention of free radical diseases was fermented beetroot juice without salt (FRAP—5663.40 µM Fe (II)/L, ABTS—96.613%, TPC—760.020 mg GAE/L, TFC—221.280 mg RE/L). Iodized fermented beetroot juice had the highest vitamin C content—51.859 mg/100 mL. However, all the products tested were characterised by a significant content of biologically active substances with antioxidant properties and showed a high antioxidant potential. Moreover, all the fermented beetroot juices were rated positively in terms of flavour intensity, sweetness, acidity, colour, and overall acceptability. They can, therefore, be a good source of antioxidants in the daily diet.
Evaluation of Safety and Probiotic Traits from a Comprehensive Genome-Based In Silico Analysis of Ligilactobacillus salivarius P1CEA3, Isolated from Pigs and Producer of Nisin S
Authors: Sevillano Ester , Lafuente Irene , Peña Nuria , Cintas Luis M. , Muñoz-Atienza Estefanía , Hernández Pablo E. , Borrero Juan
Published: December 2023

Ligilactobacillus salivarius is an important member of the porcine gastrointestinal tract (GIT). Some L. salivarius strains are considered to have a beneficial effect on the host by exerting different probiotic properties, including the production of antimicrobial peptides which help maintain a healthy gut microbiota. L. salivarius P1CEA3, a porcine isolated strain, was first selected and identified by its antimicrobial activity against a broad range of pathogenic bacteria due to the production of the novel bacteriocin nisin S. The assembled L. salivarius P1CEA3 genome includes a circular chromosome, a megaplasmid (pMP1CEA3) encoding the nisin S gene cluster, and two small plasmids. A comprehensive genome-based in silico analysis of the L. salivarius P1CEA3 genome reveals the presence of genes related to probiotic features such as bacteriocin synthesis, regulation and production, adhesion and aggregation, the production of lactic acid, amino acids metabolism, vitamin biosynthesis, and tolerance to temperature, acid, bile salts and osmotic and oxidative stress. Furthermore, the strain is absent of risk-related genes for acquired antibiotic resistance traits, virulence factors, toxic metabolites and detrimental metabolic or enzymatic activities. Resistance to common antibiotics and gelatinase and hemolytic activities have been discarded by in vitro experiments. This study identifies several probiotic and safety traits of L. salivarius P1CEA3 and suggests its potential as a promising probiotic in swine production.
Sensory Evaluation of Plant-Based Meat: Bridging the Gap with Animal Meat, Challenges and Future Prospects
Authors: Kumari Swati , Alam Amm Nurul , Hossain Md. Jakir , Lee Eun-Yeong , Hwang Young-Hwa , Joo Seon-Tea
Published: December 2023

Globally, the demand for plant-based meat is increasing rapidly as these products are becoming quite popular among vegans and vegetarians. However, its development is still in the early stage and faces various technological challenges; the imitation of the sensory profile of meat is the most challenging part as these products are meant to be an alternative to animal meat. The development of a product similar to meat requires accurate selection of ingredients and processing techniques. An understanding of the relevant sensory profile can help in constructing products and technologies that are consumer-centric and sustainable. In this review, we focus on the comparative differences in the sensory profiles of animal meat and plant-based meat alternatives, particularly regarding the color, texture, and flavor, along with the methods used to compare them. This paper also explains the sensory evaluation and how it affects consumer preference and acceptability. Additionally, a direction for further research on developing better plant-based meat products is suggested.
First ATR-FTIR Characterization of Black, Green and White Teas (Camellia sinensis) from European Tea Gardens: A PCA Analysis to Differentiate Leaves from the In-Cup Infusion
Authors: Giorgini Elisabetta , Notarstefano Valentina , Foligni Roberta , Carloni Patricia , Damiani Elisabetta
Published: December 2023

ATR-FTIR (Attenuated Total Reflectance Fourier Transform InfraRed) spectroscopy, combined with chemometric, represents a rapid and reliable approach to obtain information about the macromolecular composition of food and plant materials. With a single measurement, the chemical fingerprint of the analyzed sample is rapidly obtained. Hence, this technique was used for investigating 13 differently processed tea leaves (green, black and white) all grown and processed in European tea gardens, and their vacuum-dried tea brews, prepared using both hot and cold water, to observe how the components differ from tea leaf to the in-cup infusion. Spectra were collected in the 1800–600 cm−1 region and were submitted to Principal Component Analysis (PCA). The comparison of the spectral profiles of leaves and hot and cold infusions of tea from the same country, emphasizes how they differ in relation to the different spectral regions. Differences were also noted among the different countries. Furthermore, the changes observed (e.g., at ~1340 cm−1) due to catechin content, confirm the antioxidant properties of these teas. Overall, this experimental approach could be relevant for rapid analysis of various tea types and could pave the way for the industrial discrimination of teas and of their health properties without the need of time-consuming, lab chemical assays.
Gastronomic Curiosity and Consumer Behavior: The Impact of Television Culinary Programs on Choices of Food Services
Authors: Gajdzik Bożena , Jaciow Magdalena , Wolniak Radosław , Wolny Robert
Published: December 2023

In highly developed countries, more and more people use culinary services. Cooking at home, for the family, is giving way to culinary services. Consumers either order food home or use the offers of restaurants and bars. Consumers’ choice of culinary form may be influenced by cooking television programs. Many TV stations broadcast cooking programs. This study examined the impact of television culinary programs on consumer behavior in the restaurant services market. The article examines the interplay of emotional responses, personality traits, and culinary preferences to understand how TV cooking programs influence dining decisions. The study was conducted using the CAWI method, which involved 742 respondents. The study, conducted between May 2021 and April 2022, was addressed to people who visited restaurants presented in the Polish culinary TV show titled “Kitchen Revolutions”. The study revealed that almost 3/4 of the respondents chose restaurants based on the program’s recommendations. Although there was a strong emotional connection with this program—nearly half of the respondents expressed delight in the taste of snacks and main courses—this did not always translate into an increased frequency of eating meals away from home. Only every third respondent said that the program influenced their gastronomic behavior. The research hypotheses examined the extent to which culinary TV shows influence the frequency of visits to restaurants, the perceived quality of life, and the influence on consumers with specific personality traits. The results partially supported the hypothesis that cooking programs on television encourage people to eat out more often, but the perceived impact on quality of life and on some personality traits was less clear. The article contributes to the understanding of consumer behavior in the food service market by highlighting the complex dynamics of emotional reactions, personality traits, and the impact of culinary television programs. The findings have practical implications for the restaurant industry, suggesting a focus on emotional impact, food quality and presentation, and targeting marketing strategies towards consumers who are open to new experiences and ready to experiment.
Testing Game Theory of Mind Models for Artificial Intelligence
Authors: Harré Michael S. , El-Tarifi Husam
Published: December 2023

In this article, we investigate the relative performance of artificial neural networks and structural models of decision theory by training 69 artificial intelligence models on a dataset of 7080 human decisions in extensive form games. The objective is to compare the predictive power of AIs that use a representation of another agent’s decision-making process in order to improve their own performance during a strategic interaction. We use human game theory data for training and testing. Our findings hold implications for understanding how AIs can use constrained structural representations of other decision makers, a crucial aspect of our ‘Theory of Mind’. We show that key psychological features, such as the Weber–Fechner law for economics, are evident in our tests, that simple linear models are highly robust, and that being able to switch between different representations of another agent is a very effective strategy. Testing different models of AI-ToM paves the way for the development of learnable abstractions for reasoning about the mental states of ‘self’ and ‘other’, thereby providing further insights for fields such as social robotics, virtual assistants, and autonomous vehicles, and fostering more natural interactions between people and machines.
Hydrogel Microparticles for Bone Regeneration
Authors: Bektas Cemile , Mao Yong
Published: December 2023

Hydrogel microparticles (HMPs) stand out as promising entities in the realm of bone tissue regeneration, primarily due to their versatile capabilities in delivering cells and bioactive molecules/drugs. Their significance is underscored by distinct attributes such as injectability, biodegradability, high porosity, and mechanical tunability. These characteristics play a pivotal role in fostering vasculature formation, facilitating mineral deposition, and contributing to the overall regeneration of bone tissue. Fabricated through diverse techniques (batch emulsion, microfluidics, lithography, and electrohydrodynamic spraying), HMPs exhibit multifunctionality, serving as vehicles for drug and cell delivery, providing structural scaffolding, and functioning as bioinks for advanced 3D-printing applications. Distinguishing themselves from other scaffolds like bulk hydrogels, cryogels, foams, meshes, and fibers, HMPs provide a higher surface-area-to-volume ratio, promoting improved interactions with the surrounding tissues and facilitating the efficient delivery of cells and bioactive molecules. Notably, their minimally invasive injectability and modular properties, offering various designs and configurations, contribute to their attractiveness for biomedical applications. This comprehensive review aims to delve into the progressive advancements in HMPs, specifically for bone regeneration. The exploration encompasses synthesis and functionalization techniques, providing an understanding of their diverse applications, as documented in the existing literature. The overarching goal is to shed light on the advantages and potential of HMPs within the field of engineering bone tissue.
Experimental Investigation of Hydraulic Fracturing Fluid Based on Pseudo Gemini Surfactant with Polysaccharide Addition
Authors: Silin Mihail , Magadova Lyubov , Poteshkina Kira , Krisanova Polina , Filatov Andrey , Kryukov Denis
Published: December 2023

In the last decade, hydrogels for hydraulic fracturing based on viscoelastic surfactants have been actively studied. Interest in these systems is justified by their unique qualities: good viscoelasticity and the ability to form stable suspensions of proppant or sand, destruction without the formation of bridging agents, hydrophobization of the rock surface and metal of technological equipment, as well as oil-cleaning properties. These qualities are most often provided by a minimum set of components—a surfactant and an electrolyte. However, the absence of a polymer limits the use of these gels in formations where fluid leakoff is possible. In this article, a liquid was studied, based on a pseudo gemini surfactant (PGVES) with the addition of a water-soluble polysaccharide. The objects of study were selected based on the assumption of interactions between PGVES and the polymer; interactions which favorably influence the technological characteristics of the fracturing fluid. To confirm the hypothesis, rheological studies were carried out. These included rotational viscometry and oscillatory studies at various temperatures. The settling velocity of particles of various proppant fractions was studied and tests were carried out to assess fluid leakoff. The performed experiments show an improvement in the characteristics of the PGVES-based gel under the influence of the polysaccharide. In particular, the rheological properties increase significantly, the stability of proppant suspensions improves, and the fluid leakoff of systems decreases, all of which expands the possibility of using these fracturing fluids and makes this area of experimentation promising.
MAPT Locus in Parkinson’s Disease Patients of Ashkenazi Origin: A Stratified Analysis
Authors: Shani Shachar , Gana-Weisz Mali , Bar-Shira Anat , Thaler Avner , Gurevich Tanya , Mirelman Anat , Giladi Nir , Alcalay Roy N. , Goldstein Orly , Orr-Urtreger Avi
Published: December 2023

Introduction: MAPT locus is associated with Parkinson’s disease (PD), which is located within a large inversion region of high linkage disequilibrium (LD). We aimed to determine whether the H2-haplotype protective effect and its effect size depends on the GBA1 or LRRK2 risk allele carrier status, and to further characterize genetic alterations that might contribute to its effect. Methods: LD analysis was performed using whole-genome sequencing data of 202 unrelated Ashkenazi Jewish (AJ) PDs. A haplotype-divergent variant was genotyped in a cohort of 1200 consecutively recruited AJ-PDs. The odd ratios were calculated using AJ-non-neuro cases from the gnomAD database as the controls in an un-stratified and a stratified manner according to the mutation carrier status, and the effect on the Age at Motor Symptom Onset (AMSO) was examined. Expression and splicing quantitative trait locus (eQTL and sQTL) analyses were carried out using brain tissues from a database. Results: The H2 haplotype exhibited significant association with PD protection, with a similar effect size in GBA1 carriers, LRRK2-G2019S carriers, and non-carriers (OR = 0.77, 0.69, and 0.82, respectively), and there was no effect on AMSO. The LD interval was narrowed to approximately 1.2 Mb. The H2 haplotype carried potential variants in candidate genes (MAPT and SPPL2C); structural deletions and segmental duplication (KANSL1); and variants affecting gene expression and intron excision ratio in brain tissues (LRRC37A/2). Conclusions: Our results demonstrate that H2 is associated with PD and its protective effect is not influenced by the GBA1/LRRK2 risk allele carrier status. This effect may be genetically complex, resulting from different levels of variations such as missense mutations in relevant genes, structural variations, epigenetic modifications, and RNA expression changes, which may operate independently or in synergy.
The Association between Nursing Students’ Happiness, Emotional Intelligence, and Perceived Caring Behavior in Riyadh City, Saudi Arabia
Authors: Baghdadi Nadiah A. , Sankarapandian Chandrakala , Arulappan Judie , Taani Murad H. , Snethen Julia , Andargeery Shaherah Yousef
Published: December 2023

Background: Caring behavior is a major focus of the nursing profession and an important dimension of nursing practice that sets nurses apart from other healthcare professionals. Effective patient-centered care requires ensuring nurses have the emotional intelligence and happiness to address the daily demands of practice. The purpose of this study is to examine the emotional intelligence and happiness among nursing students and their relationship with caring behaviors. Methods: A cross-sectional, descriptive correlational study was conducted on nursing students (n = 363) from Riyadh, Kingdom of Saudi Arabia, via an online survey. Measures include demographic data survey, Oxford Happiness Questionnaire, Trait Emotional Intelligence Questionnaire, and Caring Behaviors Inventory scale. Descriptive and multiple regression analyses were conducted for this study. Results: Nursing students reported their highest degree of caring was in terms of ‘respectful differences to others’, while their lowest was in ‘knowledge and skills’. Emotional intelligence and happiness were significant predictors of caring behaviors and explained the variance in assurance of human presence (17.5%), knowledge and skills (17.5%), respectful differences to others (18%), and positive connectedness (12.9%). In the final regression model, emotional intelligence and happiness were significant predictors of caring behaviors and explained 19.5% of the variance. Conclusions: Emotional intelligence and happiness among nursing students were found to be important factors to improve their caregiving behaviors. Therefore, nursing educators should consider integrating emotional intelligence and happiness interventions for students into their curriculum.
Comparing the Impact of Upper Body Control and Core Muscle Stabilization Training on Landing Biomechanics in Individuals with Functional Ankle Instability: A Randomized Controlled Trial
Authors: Nekar Daekook M. , Lee Dong-Yeop , Hong Ji-Heon , Kim Jin-Seop , Kim Seong-Gil , Nam Yeon-Gyo , Yu Jae-Ho
Published: December 2023

Functional ankle instability (FAI), which is characterized by recurrent ankle sprains and perceived joint instability, arises from various factors contributing to compromised biomechanical control during activities, particularly those involving landing tasks. While current research predominantly addresses lower-extremity and core stabilization interventions for FAI, the contribution of upper body control to landing biomechanics in this population remains insufficiently explored. In this study, 42 participants (19 males, 23 females) with FAI were randomly assigned to either the upper-body control training group (UBCTG) or the core muscle stabilization training group (CMSTG). The groups underwent six-week interventions, with the UBCTG receiving a dynamic core exercise program including upper body control and the CMSTG receiving static core muscle training. Pre- and post-intervention assessments encompassed electromyography of the gastrocnemius, tibialis anterior, and peroneus longus, motion analysis of the lower extremities, and ground reaction force (GRF) readings during a single-leg-jump task. Additionally, dynamic balance was assessed using the Y balance test and self-reported measurements of ankle instability were performed. The results showed similar increases in muscle activation, joint movement, and self-reported ankle instability scores within both groups. However, significant between-group differences were observed in terms of knee flexion angle, dynamic balance, and ankle instability scores, favoring the UBCTG. Although the peak vertical GRF significantly decreased and the time to peak vertical GRF increased in both groups, more changes were noted in the UBCTG. Our results demonstrated that dynamic core exercises with additional upper body control training enhance landing biomechanics, dynamic balance, and stability in individuals with FAI. Consequently, we recommend incorporating shoulder girdle exercises, proprioceptive drills, and balance exercises into dynamic core training.