bluuebunny/crossref_metadata_2025 huggingface dataset:
Parallel Implementation of K-Best Quadrature Amplitude Modulation Detection for Massive Multiple Input Multiple Output Systems
Authors: Gokalgandhi Bhargav , Ling Jonathan , Latinović Zoran , Samardzija Dragan , Seskar Ivan
Published: July 2024

Massive MIMO (Multiple Input Multiple Output) systems impose significant processing burdens along with strict latency requirements. The combination of large-scale antenna arrays and wide bandwidth requirements for next-generation wireless systems creates an exponential increase in frontend to backend data. Balancing the processing latency and reliability is critical for baseband processing tasks such as QAM detection. While linear detection algorithms have low computational complexity, their use in Massive MIMO scenario has heavy degradation in error performance. Nonlinear detection methods such as Maximum Likelihood and Sphere Decoding have good error performance, but they suffer from high, variable, and uncontrollable computational complexity. For such cases, the K-best QAM detection algorithm can provide required control over the system performance while maintaining near-ML error performance. In this paper, hard-output, as well as soft-output K-best QAM detection, is implemented in a CPU by utilizing the multiple cores combined with vector processing. Similarly, hard-output detection in a GPU is implemented by leveraging the SIMD (Single Instruction, Multiple Data) architecture and Warp-based execution model. The processing time per bit and the energy consumption per bit are compared for CPU and GPU implementations for QAM constellation density and MIMO array size. The GPU implementation shows up to 5× processing latency per bit improvement and up to 120× energy consumption per bit improvement over the CPU implementation for typical QAM constellations such as 4, 16, and 64 QAM. GPU implementation also shows up to 125× improvement over CPU implementation in energy consumption per bit for larger MIMO configurations such as 24 × 24 and 32 × 32. Finally, the soft-output detector is combined with a LDPC (Low-Density Parity Check) decoder to obtain the FER (Frame Error Rate) performance for CPU implementation. The FER is then combined with frame processing latency to form a Goodput metric to demonstrate the latency and reliability tradeoff.
Complex Dynamical Behavior of Locally Active Discrete Memristor-Coupled Neural Networks with Synaptic Crosstalk: Attractor Coexistence and Reentrant Feigenbaum Trees
Authors: Liu Deheng , Wang Kaihua , Cao Yinghong , Lu Jinshi
Published: July 2024

In continuous neural modeling, memristor coupling has been investigated widely. Yet, there is little research on discrete neural networks in the field. Discrete models with synaptic crosstalk are even less common. In this paper, two locally active discrete memristors are used to couple two discrete Aihara neurons to form a map called DMCAN. Then, the synapse is modeled using a discrete memristor and the DMCAN map with crosstalk is constructed. The DMCAN map is investigated using phase diagram, chaotic sequence, Lyapunov exponent spectrum (LEs) and bifurcation diagrams (BD). Its rich and complex dynamical behavior, which includes attractor coexistence, state transfer, Feigenbaum trees, and complexity, is systematically analyzed. In addition, the DMCAN map is implemented in hardware on a DSP platform. Numerical simulations are further validated for correctness. Numerical and experimental findings show that the synaptic connections of neurons can be modeled by discrete memristor coupling which leads to the construction of more complicated discrete neural networks.
Enhanced Satellite Analytics for Mussel Platform Census Using a Machine-Learning Based Approach
Authors: Martín-Rodríguez Fernando , Álvarez-Sabucedo Luis M. , Santos-Gago Juan M. , Fernández-Barciela Mónica
Published: July 2024

Mussel platforms are big floating structures made of wood (normally about 20 m × 20 m or even a bit larger) that are used for aquaculture. They are used for supporting the growth of mussels in suitable marine waters. These structures are very common near the Galician coastline. For their maintenance and tracking, it is quite convenient to be able to produce a periodic census of these structures, including their current count and position. Images from Earth observation satellites are, a priori, a convenient choice for this purpose. This paper describes an application capable of automatically supporting such a census using optical images taken at different wavelength intervals. The images are captured by the two Sentinel 2 satellites (Sentinel 2A and Sentinel 2B, both from the Copernicus Project). The Copernicus satellites are run by the European Space Agency, and the produced images are freely distributed on the Internet. Sentinel 2 images include thirteen frequency bands and are updated every five days. In our proposal, remote-sensing normalized (differential) indexes are used, and machine-learning techniques are applied to multiband data. Different methods are described and tested. The results obtained in this paper are satisfactory and prove the approach is suitable for the intended purpose. In conclusion, it is worth noting that artificial neural networks turn out to be particularly good for this problem, even with a moderate level of complexity in their design. The developed methodology can be easily re-used and adapted for similar marine environments.
Bus Basis Model Applied to the Chilean Power System: A Detailed Look at Chilean Electric Demand
Authors: Benavides Carlos , Gwinner Sebastián , Ulloa Andrés , Barrales-Ruiz José , Sepúlveda Vicente , Díaz Manuel
Published: July 2024

This paper presents a methodology to forecast electrical demand for the Chilean Electrical Power System considering a national, regional, district and bus spatial disaggregation. The methodology developed was based on different kinds of econometric models and end-use models to represent the massification of low carbon emission technologies such as electromobility, electric heating, electric water heating, and distributed generation. In addition, the methodology developed allows for the projection of the electric demand considering different kinds of clients as regulated and non-regulated clients, and different economic sectors. The model was applied to forecast the long-term electricity demand in Chile for the period 2022–2042 for 207 districts and 474 buses. The results include projections under the base case and low carbon scenarios, highlighting the significant influence of new technologies on future demand.
Study on Rapid Simulation of the Pre-Cooling Process of a Large LNG Storage Tank with the Consideration of Digital Twin Requirements
Authors: Zhao Yunfei , Qian Caifu , Shi Guangzhi , Li Mu , Qiu Zaoyang , Zhang Baohe , Wu Zhiwei
Published: July 2024

The pre-cooling of a large LNG storage tank involves complex phenomena such as heat transfer, low-temperature flow, gas displacement, and vaporization. The whole pre-cooling process could take up to 50 h. For large-scale, full-capacity storage tanks, it is particularly important to accurately control the pre-cooling temperature. Digital twin technology can characterize and predict the full life cycle parameters from the beginning of pre-cooling development to the end and even the appearance of damage in real time. The construction of a digital twin platform requires a large number of data samples in order to predict the operating state of the device. Therefore, a simulation method with high computational efficiency for the pre-cooling process of LNG tanks is of great importance. In this paper, the mixture model and discrete phase model (DPM) are applied to simulate the pre-cooling process of a large LNG full-capacity tank. Following Euler–Lagrange, the DPM greatly simplifies the solution process. Compared with the experimental results, the maximum error of the DPM simulation results is less than 11%. Such a highly efficient simulation method for the large LNG full-capacity storage tank can make it possible to build the digital twin platform that needs hundreds of data model samples.
A Review of Modular Electrical Sub-Systems of Electric Vehicles
Authors: Darwish Ahmed , Elgenedy Mohamed A. , Williams Barry W.
Published: July 2024

Climate change risks have triggered the international community to find efficient solutions to reduce greenhouse gas (GHG) emissions mainly produced by the energy, industrial, and transportation sectors. The problem can be significantly tackled by promoting electric vehicles (EVs) to be the dominant technology in the transportation sector. Accordingly, there is a pressing need to increase the scale of EV penetration, which requires simplifying the manufacturing process, increasing the training level of maintenance personnel, securing the necessary supply chains, and, importantly, developing the charging infrastructure. A new modular trend in EV manufacturing is being explored and tested by several large automotive companies, mainly in the USA, the European Union, and China. This modular manufacturing platform paves the way for standardised manufacturing and assembly of EVs when standard scalable units are used to build EVs at different power scales, ranging from small light-duty vehicles to large electric buses and trucks. In this context, modularising EV electric systems needs to be considered to prepare for the next EV generation. This paper reviews the main modular topologies presented in the literature in the context of EV systems. This paper summarises the most promising topologies in terms of modularised battery connections, propulsion systems focusing on inverters and rectifiers, modular cascaded EV machines, and modular charging systems.
Matching Characteristics of Refrigerant and Operating Parameters in Large Temperature Variation Heat Pump
Authors: Hu Hemin , Wang Tao , Zhang Fan , Zhang Bing , Qi Jian
Published: July 2024

Characterizing the optimal operating parameters for a heat pump with a specific refrigerant is paramount, as it provides valuable guidance for refrigerant selection. The temperature mismatch between cold and hot fluids in the evaporator and condenser can lead to degraded thermal performance in heat pumps with large temperature variations. To address these two key issues, we selected several pure refrigerants with varying critical temperature levels for use in a large temperature variation heat pump configuration. The corresponding thermal performance was then investigated using the Ebsilon code under fixed temperature lift conditions as the operating temperature varied. It indicates that the maximum coefficient of performance (COP) is typically achieved when the deviation factors of temperature and pressure from their critical parameters fall within the ranges of 0.62~0.71 and 0.36~0.5, respectively. Our research recommends the binary refrigerant mixture of R152a/R1336mzz(z) (COP = 3.54) for the current operating conditions, as it significantly improves thermal performance compared to pure R1336mzz (z) (COP = 2.87) and R152a (COP = 3.01). Through research on the impact of the compositional ratio of R152a/R1336mzz(z) on the thermal performance of the heat pump, we found that that the optimal ratio of R1336mzz(z) component to R152a component is 0.5/0.5. This study offers valuable guidance for selecting the most suitable refrigerants for heat pumps in practical engineering design scenarios.
A Reconfigurable Phase-Shifted Full-Bridge DC–DC Converter with Wide Range Output Voltage
Authors: Benites Quispe Jhon Brajhan , Mezaroba Marcello , Batschauer Alessandro Luiz , de Souza Ribeiro Jean Marcos
Published: July 2024

This paper analyzes, designs and implements a reconfigurable phase-shifted full-bridge (PSFB) converter. It adopts the topology of the traditional PSFB converter and incorporates clamping circuits to solve some fundamental problems of conventional topology. In addition, auxiliary switches are employed for output reconfiguration, which allows expanding the output voltage range without compromising the system efficiency. Single pole double throw (SPDT) mechanical switches are used to realize series and parallel connections. In this paper, the characterization of the PSFB converter with clamping circuit and its design considerations are discussed. A 10 kW prototype with a power density of 0.485 W/cm3, 900 V input voltage and 400/800 V nominal output voltage was manufactured. The experimental results validated the analysis and confirmed the high conversion efficiency for a wide load range; an efficiency of 96.69% was obtained for the full load condition.
Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting
Authors: Liu Song , Deng Yuncheng , Zhang Jianpeng , Wang Jinliang , Duan Di
Published: July 2024

Accurate arbor extraction is an important element of forest surveys. However, the presence of shrubs can interfere with the extraction of arbors. Addressing the issues of low accuracy and weak generalizability in existing Terrestrial Laser Scanning (TLS) arbor point clouds extraction methods, this study proposes a trunk axis fitting (TAF) method for arbor extraction. After separating the point cloud data by upper and lower, slicing, clustering, fitting circles, obtaining the main central axis, filtering by distance, etc. The canopy point clouds are merged with the extracted trunk point clouds to precisely separate arbors and shrubs. The advantage of the TAF method proposed in this study is that it is not affected by point cloud density or the degree of trunk curvature. This study focuses on a natural forest plot in Shangri-La City, Yunnan Province, and a plantation plot in Kunming City, using manually extracted data from a standardized dataset of samples to test the accuracy of the TAF method and validate the feasibility of the proposed method. The results showed that the TAF method proposed in this study has high extraction accuracy. It can effectively avoid the problem of trunk point cloud loss caused by tree growth curvature. The experimental accuracy for both plots reached over 99%. This study can provide certain technical support for arbor parameter extraction and scientific guidance for forest resource investigation and forest management decision-making.
Discovery and Characterization of a Novel Bacteriocin That Strongly Inhibits Staphylococcus aureus
Authors: Song Yang , Zhou Yuanzheng , Pan Yuanjiang
Published: July 2024

Drug resistance in Staphylococcus aureus is a serious problem, and the development of new antimicrobial drugs to circumvent drug resistance has become a trend. In this study, we isolated a strain of Bacillus subtilis with high tolerance to alcohol, pH, NaCl, bile salt, surfactants, temperature, and simulated intestinal fluids. We optimized culture parameters to obtain the best fermentation conditions for the production of inhibitory compounds in cell-free culture media. The crude extract showed excellent stability when exposed to temperature, pH, and ultraviolet radiation, with almost no loss of bacteriostatic activity after treatment. After isolation and purification, the peptide sequences were identified using ultraperformance liquid chromatography–mass spectrometry (UPLC–MS), and the antibacterial sequences were analyzed using bioinformatics. The results of the identification showed that there was one novel bacteriocin (NSGGSYGSGGGGGGGNSHGY) with a molecular weight of 1513.58 Da. The minimum inhibitory concentration (MIC) of the B5 bacteriocin was 31.25 μg/mL against S. aureus, and it is noteworthy that bacteriocin B5 also showed weak antibacterial activity against Vibrio parahaemolyticus. In conclusion, this study developed a novel bacteriocin that has the potential to be used as an alternative to S. aureus antibiotics.
Evaluating the Antagonistic Activity of Lactic Acid Bacteria in Cadaverine Production by Vibrio Strains during Co-Culture
Authors: Jeong Jae Hee , Park Sunhyun , Jang Mi , Kim Keun-sung
Published: July 2024

Vibrio cholerae and Vibrio parahaemolyticus are common pathogens linked to human gastroenteritis, particularly in seafood like shrimp. This study investigated the impact of lactic acid bacteria on V. cholerae and V. parahaemolyticus regarding the production of cadaverine, a concerning compound. V. cholerae NCCP 13589 and V. parahaemolyticus ATCC 27969 were significant producers of amines in experiments conducted using white-leg shrimp (Litopenaeus vannamei) and lysine decarboxylase broth. Notably, the Lactiplantibacillus plantarum NCIMB 6105 and Leuconostoc mesenteroides ATCC 10830 lactic acid bacteria strains demonstrated a pronounced antagonistic effect on the production of biogenic amines by these food-borne pathogenic bacteria. The presence of lactic acid bacteria led to a substantial reduction in cadaverine production in the lysine decarboxylase broth and shrimp extract. The co-culture of two lactobacilli species reduced the cadaverine production in V. cholerae and V. parahaemolyticus by approximately 77 and 80%, respectively. Consequently, the favorable influence of lactic acid bacteria in curbing cadaverine production by food-borne pathogens presents clear advantages for the food industry. Thus, effectively managing these pathogens could prove pivotal in controlling the biogenic amine levels in shrimp.
Achieving Accountability and Data Integrity in Message Queuing Telemetry Transport Using Blockchain and Interplanetary File System
Authors: Lazzaro Sara , Buccafurri Francesco
Published: July 2024

Ensuring accountability and integrity in MQTT communications is important for enabling several IoT applications. This paper presents a novel approach that combines blockchain technology and the interplanetary file system (IPFS) to achieve non-repudiation and data integrity in the MQTT protocol. Our solution operates in discrete temporal rounds, during which the broker constructs a Merkle hash tree (MHT) from the messages received. Then the broker publishes the root on the blockchain and the MHT itself on IPFS. This mechanism guarantees that both publishers and subscribers can verify the integrity of the message exchanged. Furthermore, the interactions with the blockchain made by the publishers and the broker ensure they cannot deny having sent the exchanged messages. We provide a detailed security analysis, showing that under standard assumptions, the proposed solution achieves both data integrity and accountability. Additionally, we provided an experimental campaign to study the scalability and the throughput of the system. Our results show that our solution scales well with the number of clients. Furthermore, from our results, it emerges that the throughput reduction depends on the integrity check operations. However, since the frequency of these checks can be freely chosen, we can set it so that the throughput reduction is negligible. Finally, we provided a detailed analysis of the costs of our solution showing that, overall, the execution costs are relatively low, especially given the critical security and accountability benefits it guarantees. Furthermore, our analysis shows that the higher the number of subscribers in the system, the lower the costs per client in our solution. Again, this confirms that our solution does not present any scalability issues.
Emotion Recognition from Videos Using Multimodal Large Language Models
Authors: Vaiani Lorenzo , Cagliero Luca , Garza Paolo
Published: July 2024

The diffusion of Multimodal Large Language Models (MLLMs) has opened new research directions in the context of video content understanding and classification. Emotion recognition from videos aims to automatically detect human emotions such as anxiety and fear. It requires deeply elaborating multiple data modalities, including acoustic and visual streams. State-of-the-art approaches leverage transformer-based architectures to combine multimodal sources. However, the impressive performance of MLLMs in content retrieval and generation offers new opportunities to extend the capabilities of existing emotion recognizers. This paper explores the performance of MLLMs in the emotion recognition task in a zero-shot learning setting. Furthermore, it presents a state-of-the-art architecture extension based on MLLM content reformulation. The performance achieved on the Hume-Reaction benchmark shows that MLLMs are still unable to outperform the state-of-the-art average performance but, notably, are more effective than traditional transformers in recognizing emotions with an intensity that deviates from the average of the samples.
Mussel Culture Farming Systems in the Northern Gargano Coast (Adriatic Sea): Changes in the Nutritional Profile of the Mytilus galloprovincialis
Authors: della Malva Antonella , Santillo Antonella , Francavilla Matteo , Caroprese Mariangela , Marino Rosaria , Sevi Agostino , Albenzio Marzia
Published: July 2024

The objective of this study was to investigate the nutritional characteristics of Mytilus galloprovincialis cultivated in three sites of the Northern Coastal Area of Gargano. The mussel farms were characterized by different distances of dropper ropes (extensive dropper ropes: EDR; intensive dropper ropes: IDR; semi-intensive dropper ropes: SIDR). Mussels’ chemical composition, fatty acids, and amino acids profiles were investigated at monthly intervals, from April to June. The fat content of mussels from EDR and SIDR sites was lower than values observed for mussels of the IDR in both the April and June sampling months. An increase in the main saturated fatty acids (C15:0; C16:0; C17:0 and C18:0; p < 0.001) and polyunsaturated fatty acids (C18:2c9c12, C18:3n3, C20:2n6, C20:4n6, and C22:6n3; p < 0.001) was found in the mussels collected in June from all farms analyzed. In terms of farming systems, mussels from the EDR and SIDR sites exhibited the greatest content of beneficial molecules like conjugated linoleic acids isomers (p < 0.001), glutamic acid (p < 0.05), serine (p < 0.05), tryptophan (p < 0.001), hydroxyproline (p < 0.05) and proline (p < 0.01). This study revealed that the farming system can affect the nutritional composition of mussels and evidenced that EDR and SIDR are the most effective cultured farming methods in the Gargano area.
Monocular Pose Estimation Method for Automatic Citrus Harvesting Using Semantic Segmentation and Rotating Target Detection
Authors: Xiao Xu , Wang Yaonan , Jiang Yiming , Wu Haotian , Zhou Bing
Published: July 2024

The lack of spatial pose information and the low positioning accuracy of the picking target are the key factors affecting the picking function of citrus-picking robots. In this paper, a new method for automatic citrus fruit harvest is proposed, which uses semantic segmentation and rotating target detection to estimate the pose of a single culture. First, Faster R-CNN is used for grab detection to identify candidate grab frames. At the same time, the semantic segmentation network extracts the contour information of the citrus fruit to be harvested. Then, the capture frame with the highest confidence is selected for each target fruit using the semantic segmentation results, and the rough angle is estimated. The network uses image-processing technology and a camera-imaging model to further segment the mask image of the fruit and its epiphyllous branches and realize the fitting of contour, fruit centroid, and fruit minimum outer rectangular frame and three-dimensional boundary frame. The positional relationship of the citrus fruit to its epiphytic branches was used to estimate the three-dimensional pose of the citrus fruit. The effectiveness of the method was verified through citrus-planting experiments, and then field picking experiments were carried out in the natural environment of orchards. The results showed that the success rate of citrus fruit recognition and positioning was 93.6%, the average attitude estimation angle error was 7.9°, and the success rate of picking was 85.1%. The average picking time is 5.6 s, indicating that the robot can effectively perform intelligent picking operations.
Toxicological Evaluation Verifies the Safety of Oral Administration of Steamed Mature Silkworm Powder in Rats
Authors: Han Young-Min , Lee Da-Young , Song Moon-Young , Kim Eun-Hee
Published: July 2024

Globally, the edible insect industry is emerging due to its potential contributions to food security and environmental sustainability. Edible insects are rapidly being integrated into the development of alternative foods and new pharmaceuticals. Silkworms, known for their high protein content, are not only a potential new source of human food and animal feed but have also been traditionally used for medicinal purposes. However, conventional silkworms are difficult to ingest. To address this, we have developed a steamed and freeze-dried mature silkworm larva powder (SMSP), and it is essential to investigate its potential toxicity and food safety for further studies and applications. Therefore, this study aimed to evaluate the toxicity of SMSP. A toxicity assessment of SMSP was conducted according to OECD guidelines. An oral repeat-administration study was performed on male and female SD rats at doses of 625, 1250, and 2500 mg/kg/day for 4 and 13 weeks. No toxicological changes were observed in clinical signs, body weight, water and food intake, urine tests, hematology, clinical biochemistry, gross findings, or histopathological examination. In conclusion, the no observed adverse effect level (NOAEL) of SMSP was 2500 mg/kg/day, with no target organs identified in either sex of the rats. These results suggest that SMSP is safe, is without side effects and has potential for use as an edible ingredient and in health functional food applications.
A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return
Authors: Bildirici Melike , Ucan Yasemen , Tekercioglu Ramazan
Published: July 2024

This paper introduces hybrid models designed to analyze daily and weekly bitcoin return spanning the periods from 18 July 2010 to 28 December 2023 for daily data, and from 18 July 2010 to 24 December 2023 for weekly data. Firstly, the fractal and chaotic structure of the selected variables was explored. Asymmetric Cantor set, Boundary of the Dragon curve, Julia set z2 −1, Boundary of the Lévy C curve, von Koch curve, and Brownian function (Wiener process) tests were applied. The R/S and Mandelbrot–Wallis tests confirmed long-term dependence and fractionality. The largest Lyapunov test, the Rosenstein, Collins and DeLuca, and Kantz methods of Lyapunov exponents, and the HCT and Shannon entropy tests tracked by the Kolmogorov–Sinai (KS) complexity test determined the evidence of chaos, entropy, and complexity. The BDS test of independence test approved nonlinearity, and the TeraesvirtaNW and WhiteNW tests, the Tsay test for nonlinearity, the LR test for threshold nonlinearity, and White’s test and Engle test confirmed nonlinearity and heteroskedasticity, in addition to fractionality and chaos. In the second stage, the standard ARFIMA method was applied, and its results were compared to the LieNLS and LieOLS methods. The results showed that, under conditions of chaos, entropy, and complexity, the ARFIMA method did not yield successful results. Both baseline models, LieNLS and LieOLS, are enhanced by integrating them with deep learning methods. The models, LieLSTMOLS and LieLSTMNLS, leverage manifold-based approaches, opting for matrix representations over traditional differential operator representations of Lie algebras were employed. The parameters and coefficients obtained from LieNLS and LieOLS, and the LieLSTMOLS and LieLSTMNLS methods were compared. And the forecasting capabilities of these hybrid models, particularly LieLSTMOLS and LieLSTMNLS, were compared with those of the main models. The in-sample and out-of-sample analyses demonstrated that the LieLSTMOLS and LieLSTMNLS methods outperform the others in terms of MAE and RMSE, thereby offering a more reliable means of assessing the selected data. Our study underscores the importance of employing the LieLSTM method for analyzing the dynamics of bitcoin. Our findings have significant implications for investors, traders, and policymakers.
On the Application of Mann-Iterative Scheme with h-Convexity in the Generation of Fractals
Authors: Tassaddiq Asifa , Tanveer Muhammad , Zubair Muhammad , Arshad Muhammad , Cattani Carlo
Published: July 2024

Self-similarity is a common feature among mathematical fractals and various objects of our natural environment. Therefore, escape criteria are used to determine the dynamics of fractal patterns through various iterative techniques. Taking motivation from this fact, we generate and analyze fractals as an application of the proposed Mann iterative technique with h-convexity. By doing so, we develop an escape criterion for it. Using this established criterion, we set the algorithm for fractal generation. We use the complex function f(x)=xn+ct, with n≥2,c∈C and t∈R to generate and compare fractals using both the Mann iteration and Mann iteration with h-convexity. We generalize the Mann iterative scheme using the convexity parameter h(α)=α2 and provide the detailed representations of quadratic and cubic fractals. Our comparative analysis consistently proved that the Mann iteration with h-convexity significantly outperforms the standard Mann iteration scheme regarding speed and efficiency. It is noticeable that the average number of iterations required to perform the task using Mann iteration with h-convexity is significantly less than the classical Mann iteration scheme. Moreover, the relationship between the fractal patterns and the input parameters of the proposed iteration is extremely intricate.
Analgesic Effect of Sulforaphane: A New Application for Poloxamer-Hyaluronic Acid Hydrogels
Authors: Papini Juliana Zampoli Boava , de Assis Esteves Bruno , de Souza Oliveira Vagner Gomes , Abdalla Henrique Ballassani , Cereda Cintia Maria Saia , de Araújo Daniele Ribeiro , Tofoli Giovana Radomille
Published: July 2024

Sulforaphane (SFN) has shown potential as an antioxidant and anti-inflammatory agent. To improve its druggability, we developed new analgesic formulations with sulforaphane-loaded hyaluronic acid (HA)-poloxamer (PL) hydrogel. This study evaluated the pre-clinical safety and effectiveness of these formulations. Effectiveness was tested on Wistar rats divided into groups (n = 15) receiving (IM, 10 mg/kg) SFN formulations or control groups (without SFN). This study used a hind paw incision postoperative pain model to evaluate mechanical hypersensitivity with von Frey filaments. TNF-α, IL-1β, substance P, and CGRP levels verified anti-inflammatory activity in the hind paw tissue. Histopathology of tissues surrounding the injection site was assessed after 2 and 7 days post-treatment. To corroborate drug safety, cell viability of 3T3 and RAW 264.7 cultures was assessed. Additionally, RAW 264.7 cultures primed with carrageenan evaluated nitric oxide (NO) levels. All animals exhibited post-incisional hypersensitivity, and F2 (PL 407/338 (18/2%) + HA 1% + SFN 0.1%) showed a longer analgesic effect (p < 0.05). F2 reduced TNF-α, IL-1β, and CGRP levels (p < 0.05). Histopathological evaluation showed mild to moderate inflammatory reactions after the formulations’ injections. F2 produced no significant difference in cell viability (p > 0.05) but reduced NO production (p < 0.05). Thus, our results highlight the biocompatibility and effectiveness of F2.
The Toxic Mix of Multiculturalism and Medicine: The Credentialing and Professional-Entry Experience for Persons of African Descent
Authors: Foster Lorne
Published: July 2024

This essay is based on a case study of international medical graduates (IMGs) in Canada who migrated from sub-Saharan Africa. The chapter examines how narratives of race are situated and deployed in the field of medicine and can produce some aversive social–psychological landscapes in the credentialing and the professional-entry process as it relates to persons of African descent. It will show that, often without predetermination or intent, professionals of African descent in Canada are highly susceptible to implicit racial associations and implicit racial stereotyping in relation to evaluations of character, credentials, and culture. The article exposes some of the critical intersections of common experience, such as: (a) cultural deficit bias—Whiteness as an institutionalized cultural capital attribute; (b) confirmation bias—reaching a negative conclusion and working backwards to find evidence to support it; (c) repurposed sub-Saharan Blackness stereotypes—binary forms of techno-scamming and fraud; and (d) biased deception judgement—where the accuracy of deception judgements deteriorates when made across cultures. These social psychological phenomena result in significantly disproportionate returns on their foreign education and labour market experience for Black medical professionals that require decisive efforts in changing the narratives.
Genetic Variations of MSTN and Callipyge in Tibetan Sheep: Implications for Early Growth Traits
Authors: Zhao Kai , Li Xue , Liu Dehui , Wang Lei , Pei Quanbang , Han Buying , Zhang Zian , Tian Dehong , Wang Song , Zhao Jincai , Huang Bin , Zhang Fuqiang
Published: July 2024

Tibetan sheep are vital to the ecosystem and livelihood of the Tibetan Plateau; however, traditional breeding methods limit their production and growth. Modern molecular breeding techniques are required to improve these traits. This study identified a single nucleotide polymorphism (SNP) in myostatin (MSTN) and Callipyge in Tibetan sheep. The findings indicated notable associations between MSTN genotypes and growth traits including birth weight (BW), body length (BL), chest width (ChW), and chest circumference (ChC), as well as a particularly strong association with cannon circumference (CaC) at 2 months of age. Conversely, Callipyge polymorphisms did not have a significant impact on Tibetan sheep. Moreover, the analyses revealed a significant association between sex and BW or hip width (HW) at 2 months of age and ChW, ChC, and CaC at 4 months of age. Furthermore, the study’s results suggested that the genotype of MSTN as a GA was associated with a notable sex effect on BW, while the genotype of Callipyge (CC) showed a significant impact of sex on CaC at 2 months of age. These results indicated that the SNP of MSTN could potentially serve as a molecular marker for early growth traits in Tibetan sheep.
Exploring Microorganisms Associated to Acute Febrile Illness and Severe Neurological Disorders of Unknown Origin: A Nanopore Metagenomics Approach
Authors: Moreno Keldenn Melo Farias , de Andrade Virgínia Antunes , de Melo Iani Felipe Campos , Fonseca Vagner , Lima Maurício Teixeira , de Castro Barbosa Emerson , Tomé Luiz Marcelo Ribeiro , Guimarães Natália Rocha , Fritsch Hegger Machado , Adelino Talita , Oliveira Fereguetti Tatiana , Aspahan Maíra Cardoso , Gamarano Barros Tereza , Alcantara Luiz Carlos Junior , Giovanetti Marta
Published: July 2024

Acute febrile illness (AFI) and severe neurological disorders (SNDs) often present diagnostic challenges due to their potential origins from a wide range of infectious agents. Nanopore metagenomics is emerging as a powerful tool for identifying the microorganisms potentially responsible for these undiagnosed clinical cases. In this study, we aim to shed light on the etiological agents underlying AFI and SND cases that conventional diagnostic methods have not been able to fully elucidate. Our approach involved analyzing samples from fourteen hospitalized patients using a comprehensive nanopore metagenomic approach. This process included RNA extraction and enrichment using the SMART-9N protocol, followed by nanopore sequencing. Subsequent steps involved quality control, host DNA/cDNA removal, de novo genome assembly, and taxonomic classification. Our findings in AFI cases revealed a spectrum of disease-associated microbes, including Escherichia coli, Streptococcus sp., Human Immunodeficiency Virus 1 (Subtype B), and Human Pegivirus. Similarly, SND cases revealed the presence of pathogens such as Escherichia coli, Clostridium sp., and Dengue virus type 2 (Genotype-II lineage). This study employed a metagenomic analysis method, demonstrating its efficiency and adaptability in pathogen identification. Our investigation successfully identified pathogens likely associated with AFI and SNDs, underscoring the feasibility of retrieving near-complete genomes from RNA viruses. These findings offer promising prospects for advancing our understanding and control of infectious diseases, by facilitating detailed genomic analysis which is critical for developing targeted interventions and therapeutic strategies.
Physical Activity Habits and Sleep Duration According to Gender: A Cross-Sectional Study of Elementary School Children
Authors: Rodríguez-Negro Josune , Llodio Iñaki , Yanci Javier
Published: July 2024

(1) Background: The main goals of this study were to describe the physical activity (PA) and sleep habits of 8–12-year-old children according to their gender and to evaluate the relationship between PA and sleep habits (i.e., duration and timing). (2) Methods: A total of 236 children (114 boys and 122 girls) completed the Physical Activity Questionnaire for Older Children (PAQ-C) and an ad hoc sleep habits questionnaire. (3) Results: Boys were more physically active than girls (2.62 ± 0.51 vs. 2.46 ± 0.48, p = 0.026) and enacted higher PA levels in school recess (3.82 ± 1.36 vs. 3.56 ± 1.38, p = 0.003), during the afternoon (3.37 ± 1.20 vs. 2.89 ± 1.12, p = 0.003), and during weekends (3.54 ± 1.20 vs. 3.18 ± 0.48, p = 0.009). Per sleep habits, boys had a significantly later bedtime (21:53 ± 2:08 vs. 21:34 ± 2:14, p = 0.009) and a significantly smaller total sleep duration (9.64 ± 0.86 vs. 9.89 ± 0.87 h, p = 0.023) than girls. No significant correlations between PA and sleep habits were found. (4) Conclusions: We found differences in the PA and sleep habits between school-age boys and girls. Institutions and entities should consider designing specific interventions to improve PA and sleep habits according to gender.
COVID-19 Symptoms and Mental Health Outcomes among Italian Healthcare Workers: A Latent Class Analysis
Authors: Foti Giulia , Merlo Luca , Finstad Georgia Libera , Giorgi Gabriele
Published: July 2024

The COVID-19 pandemic has led to long-lasting consequences for workers leading to what has been termed a “psychological pandemic”. Some categories, such as healthcare workers (HCWs), are considered high risk due to factors such as increased exposure and stressful working conditions. In this study, we investigate whether levels of posttraumatic stress symptoms and COVID-19-related fear (IES-6 and PSI-4) are associated with illness severity in a sample of 318 infected HCWs in Italy. To investigate the presence of different profiles of COVID-19 severity, Latent Class Analysis (LCA) was performed based on 11 symptoms. Differences in the IES-6 and PSI-4 scores across the latent classes were compared using the non-parametric Kruskal–Wallis (KW) test with Dunn’s multiple comparison post hoc testing. Our analyses show that the LCA identified three classes of symptoms, reflecting no/low, mild and severe symptoms. The classes include vomiting, confusion, conjunctivitis, diarrhea, dyspnea, headache, ageusia, fever, anosmia, osteo muscle articular pain and asthenia. We found that HCWs who experienced more intense symptoms reported significantly higher IES-6 and PSI-4 scores. Moreover, we found gender-related differences in IES-6 and PSI-4 scores as females exhibited higher levels than males. Indeed, these findings are useful for developing health prevention and emergency management programs.
Structured Routine Use of Styletubation for Oro-Tracheal Intubation in Obese Patients Undergoing Bariatric Surgeries—A Case Series Report
Authors: Lee Hsiang-Chen , Wu Bor-Gang , Chen Bo-Cheng , Luk Hsiang-Ning , Qu Jason Zhensheng
Published: July 2024

The aim of this case series report is to provide a new topical view of styletubation (video intubating stylet technique) in obese patients undergoing bariatric surgeries. In contrast to various conventional direct laryngoscopes (DLs), videolaryngoscopes (VLs) have been applied in such obese populations with potentially difficult airway complications. The safety and effectiveness of VLs have been repeatedly studied, and the superiority of VLs has then been observed in and advocated for routine use. In this article, among our vast use experiences with styletubation (more than 54,998 patients since 2016) for first-line routine tracheal intubation, we present the unique experience to apply the styletubation technique in obese patients undergoing bariatric surgery. Consistent with the experiences applied in other patient populations, we found the styletubation technique itself to be swift (the time to intubate from 5 s to 24 s), smooth (first-attempt success rate: 100%), safe (no airway complications), and easy (high subjective satisfaction). The learning curve is steep, but competency can be enhanced if technical pitfalls can be avoided. We, therefore, propose that the styletubation technique can be feasibly and routinely applied as a first-line airway modality in obese patients undergoing bariatric surgery.
The Effect of Life Stages on the Experience of Those Who Have Received an Unexpected and Violent Death Notification: A Qualitative Study
Authors: De Leo Diego , Viecelli Giannotti Andrea , Meda Nicola , Sorce Martina , Zammarrelli Josephine
Published: July 2024

Background: How individuals are informed of the traumatic loss of a loved one can influence their grieving process and quality of life. Objective: This qualitative study aimed to explore, through thematic analysis, how life stages might influence the experience and feelings of those who have received communication of a traumatic death from police officers or healthcare professionals. Method: Recruited through social networks and word of mouth, 30 people participated in the study. Subjects were divided into three groups according to age (Group 1: ten participants aged between 20 and 35 years; Group 2: ten participants aged between 45 and 55 years; and Group 3: ten participants aged 60 and over). Participants completed an ad hoc questionnaire online. Atlas.ti software 8 was used to perform thematic analysis. Results: The three age groups had the following four key themes in common: (a) emotional reactions; (b) subjective valuation of the notification; (c) support; and (d) needs. Subtle differences emerged between age groups; yet the quality of the reactions and main themes did not vary greatly between the groups considered. Conclusions: The communication of an unexpected and violent death seems to provoke rather similar effects in survivors of different life stages. A few differences were noted in sub-themes (increased need for professional training in younger recipients; absence of suicidal ideation in older adults); perhaps quantitative designs could provide further details in future investigations.
The Perfect Storm: Applying the Multiple Streams Framework to Understand the Adoption of a WHO Framework Convention on Tobacco Control-Based Policy in Mexico
Authors: Crosbie Eric , Perez Sara , Rocha Camarena Adriana , Ochoa Vivanco Valentina , Severini Gianella , Gutkowski Patricia , Sosa Patricia , Sebrié Ernesto M.
Published: July 2024

Background: The aim of this study was to document how Mexico adopted a WHO Framework Convention on Tobacco Control (FCTC)-based national tobacco control law. Methods: We analyzed publicly available documents and interviewed 14 key stakeholders. We applied the Multiple Streams Framework (MSF) to analyze these findings. Results: Previous attempts to approve comprehensive FCTC-based initiatives failed due to a lack of political will, the tobacco industry’s close connections to policymakers, and a lack of health advocacy coordination. Applying the MSF reveals increased attention towards collecting and sharing data to frame the severity of the problem (problem stream). The expansion of a coordinated health advocacy coalition and activities led to increased support for desired FCTC policy solutions (policy stream). The election of President López Obrador and legislative changes led to a deep renewed focus on tobacco control (politics stream). These three streams converged to create a policy window to secure a strong FCTC-based initiative on the political agenda that was ultimately passed. Conclusions: The Mexican experience illustrates the importance of continued health advocacy and political will in adopting FCTC-based policies. Other countries should follow Mexico’s lead by collecting and sharing data through coordinating efforts in order to be prepared to seize political opportunity windows when strong political will is present.
Nursing Student Knowledge Related to Sepsis in Croatian, Cypriot, and Greek Universities: A Cross-Sectional European Study
Authors: Friganović Adriano , Bešker Gloria , Slijepčević Jelena , Civka Kristian , Ledinski Fićko Sanja , Krupa Sabina , Brčina Ana , Iordanou Stelios , Protopapas Andreas , Hadjibalassi Maria , Raftopoulos Vasilios , Katsoulas Theodoros
Published: July 2024

Background: Although the treatment of sepsis has advanced during the past 20 years there is still a high incidence and high mortality, which make sepsis one of the leading public health problems. Adequate knowledge of sepsis and the sepsis guidelines is still the most important pillar for nurses because of the long time they spend with critically ill patients. Given their frontline role in patient care, nurses are pivotal in early sepsis recognition, timely intervention, and ensuring adherence to treatment protocols. Aim: This study aimed to investigate nursing students’ knowledge of sepsis and the symptoms of sepsis, and to compare the results of nursing students from several European universities (Croatia, Cyprus, Greece). Methods: A cross-sectional design was used, with a sample of 626 undergraduate nursing students from Croatian, Cypriot, and Greek universities from 2022 to 2023. Demographic features (gender, age, employment, year of study) and a questionnaire provided by Eitze et al. were utilized as instruments. Results: There was a statistically significant difference among the countries (F(2.625) = 4.254, p = 0.015) in average knowledge about sepsis, with Scheffe’s post hoc test indicating that the Cypriot students had a higher average knowledge than the Greek students (p = 0.016), while students from neither country were significantly different from Croatian students (both p > 0.05). Conclusions: This study showed the still limited knowledge of nursing students and the differences among the educational programs for nursing students. The educational curricula of nursing studies should increase the number of sepsis lectures and use innovative techniques.