bluuebunny/crossref_metadata_2025_split huggingface dataset:
QOAOA based optimal controller for frequency regulation in smart grid system incorporating renewable sources and hybrid energy storage system
Authors: Ranjan Mrinal , Shankar Ravi 
Published: August 2023

Abstract
The demand for a sustainable and environmentally friendly power source is increasing in the modern era, and an interconnected power system that can integrate electric vehicles and renewable energy sources is seen as a solution. However, this technology has some drawbacks, such as its lower system inertia, which limits its ability to respond to load capabilities. To overcome this issue, a Hybrid Energy Storage System (HESS) can be integrated with new techniques to enhance performance. This paper proposes a new Quasi Opposition Arithmetic Optimization Algorithm (QOAOA) optimized cascade FOPIDN-(1+TD) controller with HESS of super-capacitor and Redox Flow Battery (RFB) to mitigate frequency and tie-line power variations in a multi-area restructured smart-grid system. The proposed controller's performance is evaluated under various conditions, such as load fluctuations, wind speed variations, solar irradiation, Governor Dead Band (GDB), and generation rate limitation. The system performance is also analyzed when HESS devices are integrated into the three-area system, taking into account the varying nature of wind speed and solar irradiation. The proposed controller's outcomes are validated using real-time Hardware-In-the-Loop (HIL) simulation with OPAL-RT.
Micropropagation of eucheumatoids using liquid extracts from the brown algae Ascophyllum nodosum (Fucales) and Laminaria digitata (Laminariales)
Authors: Borlongan Iris Ann , Gaya Hazel Coleen , Dimaano Antoniette Lorain , Hennequart Franck , Critchley Alan , Hurtado Anicia 
Published: August 2023

Abstract
Eucheuma denticulatum and Kappaphycus alvarezii, two tropical red seaweeds, are two of the most commercially important, cultivated carrageenophytes in Southeast Asia. Their large-scale farming through repeated vegetative propagation and virtual mono-cropping has resulted in a variety of phyconomic issues. The efficacy of two European, commercial liquid extracts from the brown seaweeds, i.e., Ascophyllum nodosum (ANE), a fucoid, and Laminaria digitata (LDE), a kelp, on the direct formation of axes and survival of these two eucheumatoids was examined using tissue culture techniques. Seaweed apical sections (3–5 mm long) were cultured for 45 days, with different concentrations of ANE and LDE (i.e., 0.005, 0.05, 0.5, 1.5, and 2.5 mL L− 1) and compared with a control (UV-filtered seawater). Both liquid extracts improved the growth and morphogenesis of E. denticulatum and K. alvarezii in tissue culture. This study recommends a dilution rate of 0.05 mL LDE per L for E. denticulatum tissue culture resulting in a high percentage survival (i.e., 95.3 ± 0.9%), formation of direct axes (i.e., 95.3 ± 0.9%), and the longest length (i.e., 10.0 ± 0.3 mm) after a typical 45-day culture period. These data combined with the highest percentage formation of axes on day 14 (i.e., 88.0 ± 4.9%). However, 0.5 mL ANE per L is recommended for the tissue culture of K. alvarezii, given the relatively high final survival and direct axis formation (i.e., 96.2 ± 2.2%) and shoot length (i.e., 8.2 ± 0.1 mm). This study supports the application of these temperate, brown seaweed-derived extracts as phycobiostimulant enrichment in eucheumatoid micropropagation for mass production of plantlets for out-planting purposes.
Genome-wide analysis of the harbour porpoise (Phocoena phocoena) indicates isolation-by-distance across the North Atlantic and local adaptation in adjacent waters
Authors: Autenrieth Marijke , Havenstein Katja , Westbury Binia Cahsan , Canitz Julia , Benke Harald , Roos Anna , Pampoulie Christophe , Sigurðsson Guðjón Már , Siebert Ursula , Olsen Morten Tange , Biard Vincent , Heide-Jørgensen Mads Peter , Özturk A. Amaha , Özturk Bayram , Lawson John W. , Tiedemann Ralph 
Published: August 2023

Abstract
The harbour porpoise (Phocoena phocoena), a highly mobile cetacean species of the Northern hemisphere, inhabits basins that vary broadly in salinity, temperature, and food availability, and can drive divergent adaptation among local populations. To shed light on range-wide population structure and local adaptation, we generated ddRAD sequencing data spanning the entire North Atlantic and Baltic Sea, as well as the Black Sea as outgroup, and mapped this data to the high-quality draft genome of the species. We identified 11,978 genome-wide SNPs from 150 individuals, which we used for population genetic inferences. Our results support a genetic differentiation between North Atlantic and Baltic Sea populations, with the Kattegat as transition zone. Across the North Atlantic the population differentiation is subtle from west to east, displaying an isolation-by-distance pattern, but indicates a separation of southern North Sea harbour porpoises. We identified genomic outlier regions, i.e., scaffold regions where SNPs with high FST across North Atlantic populations co-occur. Together with the draft genome annotation, these regions could point towards candidate genes for differential local adaptation processes among populations. Furthermore, they enable the development of a SNP panel for routine population assignment which will be useful in a conservation and management context. So far, we identified six outlier loci putatively under positive selection, along the population structure inferred from the complete SNP set. Our study highlights the value of genome resources in conservation and management and provides a crucial additional resource for the study of harbour porpoise evolution and phylogeny.
Small Intestinal Stromal Tumors Detection Based on Knowledge Distillation Technique and Computational Intelligence
Authors: Xie Fei , Liu Jindong , Wang Qian , Cao Ziran , Wang Hexu 
Published: August 2023

Abstract
A small intestinal stromal tumor is a type of gastrointestinal tumor with hidden clinical manifestations. The present diagnostic approaches mostly depend on the examination and diagnosis of patients' abdominal Computed Tomography (CT), which heavily depends on the expertise of physicians and exhibits inefficiency. Although tumor detection methods based on neural networks can overcome the shortcomings of artificial diagnosis, the detection of small intestinal stromal tumors exhibits characteristics such as blurred boundaries and low discrimination, resulting in difficulties in data annotation and insufficient training data. Therefore, this paper introduces the knowledge distillation technologies, applies computational intelligence methods, and then proposes a self-correction mechanism based on deformable convolution and a regional weight Loss function based on pathGAN to enhance the distillation effect. In the procession of knowledge distillation, a threshold constraint is set on the loss of the teacher network: when the threshold is exceeded, the offset matrix between the output and the label is calculated to perform deformable convolution on the teacher network feature map to correct its errors; When the threshold is below it, the pathGAN network is used to calculate the distillation loss, so as to achieve regional key learning in the student network. This method prevents the error of the teacher network from being transmitted to the student network for further iteration, while assigning different weights to each region of the image to guide the student network to strengthen its learning of the foreground region. The experimental results prove that, compared to other knowledge distillation methods, the proposed method better balances the computational speed and detection accuracy of the model.
A Method for Sugarcane Disease Identification Based on Improved ShuffleNetV2 Model
Authors: Xu Yanlei , Lu Zhenhuan , Zhai Yuting , Jiao Yubin , Zhou Yang 
Published: August 2023

Abstract
Rapid and accurate identification of sugarcane diseases is an important way to improve sugarcane yield. Therefore, this study proposes an improved model based on ShuffleNetV2 network (Im-ShuffleNetV2) for sugarcane disease identification. Firstly, we incorporated the ECA (Enhanced Channel Attention) attention mechanism into ShuffleNetV2, enhancing the network's ability to extract features and detect sugarcane lesion areas. Secondly, a new multi-scale feature extraction branch and Transformer module have been introduced, further improving the independent learning ability of the network. Finally, a large number of numerical results have demonstrated the advantages of the proposed model in terms of parameter size and sugarcane disease identification accuracy. Just as Im-ShuffleNetV2 only has a parameter of 0.4MB, it has significant advantages over parameters such as EfficientV2-S (55.6MB), MobileNetV2 (8.73MB), MobileViT XX small (3.76MB), FasterNetT2 (52.4MB), AlexNet (55.6MB), and MobileNetV3 Large (16.2MB). In addition, compared with the ShuffleNetV2 network, the accuracy has improved by 3.4%. This model not only improves the accuracy of sugarcane leaf disease detection, but also demonstrates the advantage of lightweight, providing valuable reference for future research in the field of sugarcane.
Enhanced Antioxidant and Antibacterial Activity through Esterification of polycaprolactone with Oleic Acid Catalyzed by Maghnite-H +
Authors: Bezzekhami Mohammed Amin , Belkhir Nacera Leila , Zaoui Somia , Sid Asma Nour El Houda , Mostefai Amina , Harrane Amine 
Published: August 2023

Abstract

Biodegradable polymers, such as poly(ε-caprolactone) (PCL), have gained significant attention due to their potential applications in various fields. To enhance the properties of PCL, researchers have focused on developing composites by blending it with other polymers or incorporating bioactive agents. One approach is the synthesis of PCL with oleic acid (OA), a natural fatty acid, resulting in improved mechanical, thermal, and in vitro activities. In this study, the synthesis of PCL modified with oleic acid was investigated using Maghnite-H+ as a sustainable heterogeneous solid catalyst. The Maghnite clay was treated with sulfuric acid to activate its catalytic properties. The impact of various synthesis conditions, such as the temperature and duration of the reaction, as well as the quantity of catalyst used, is evaluated using a response surface technique. This method employs a central composite design with three factors, each having three different levels. The resulting PCL-OA composite showed enhanced properties and in vitro activities, including antioxidant and antibacterial properties. The antioxidant activity was evaluated using the DPPH radical scavenging assay, where PCL-OA exhibited a significant increase in inhibition rate. Ascorbic acid (vitamin C) was used as a standard, demonstrating remarkable scavenging activity. The enhanced scavenging activity of PCL-OA can be attributed to the chemical modifications occurring during the grafting process of PCL with oleic acid. The antimicrobial properties of PCL-OA were investigated against various microorganisms, and the results showed different sensitivities of the strains to the compounds. Combinations of caprolactone, oleic acid, and PCL-OA resulted in increased antimicrobial activity for most of the tested strains, indicating a synergistic effect. Physicochemical characterization techniques, including FTIR and NMR, confirmed the successful synthesis and structural changes of PCL-OA. Thermal stability analysis revealed the decomposition behavior of the composite.
Optimal Controller Design for a Hybrid AC-DC Microgrid System
Authors: Amer Ragab A. , Mosalam Hanan A. , El-Ela Adel. A. Abou 
Published: August 2023

Abstract
In this paper, an optimal control scheme for a Hybrid-Microgrid System (H- MGS) that has been tuned using the arithmetic optimization algorithm (AOA) is presented. This method is suggested in this study to obtain the optimal PI controller parameters for the H-MG when connecting to and disconnecting from the grid. The proposed system consists of Direct Current Microgrids (DC-MG) and Alternating Current Microgrids (AC-MG). A solar photovoltaic system (PVS), a hydrogen storage energy system, and a DC load coupled via a DC-DC buck converter make up the DC-MG. The AC-MG is made up of a wind turbine system, a battery system that powers a variable AC load, and an induction motor. The results are contrasted with those obtained from designing a control system using Particle Swarm Optimization (PSO), Cuckoo Search (CS) and Gray Wolf Optimization (GWO) approaches for a variety of test situations. In comparison to previous methodologies, the AOA simulation results are more accurate and have reduced settling time, rising time, and overshoot.
Clinical effect of modified anterolateral acromioarthroplasty during arthroscopic rotator cuff repair
Authors: Zhou Yongwei , He Shan , Kang Jiayu , Yang Qining 
Published: August 2023

Abstract

Background: To compare the clinical effect of modified anterolateral acromioplasty and traditional acromioplasty in arthroscopicrotator cuff repair.
Methods: The clinical data of 92 patients with total rotator cuff tears admitted to the Department of Joint Surgery of Jinhua Central Hospital from January 2016 to December 2019 were retrospectively analyzed. Among them,42 patients underwent traditional acromioplasty during arthroscopic rotator cuff repair, and 50 patients underwent modified anterolateral acromioplasty. Patients were evaluated for preoperative and postoperative shoulder function, pain and critical shoulder angle, and incidence of rotator cuff retear at 12 months postoperatively.
Results: There was no statistical difference between the preoperative general data of the patients in the traditional acromioplasty and modified anterolateral acromioplasty groups (P>0.05), and they were comparable. The UCLA score, ASES score and Constant score of the shoulder joint in both groups were significantly improved and the VAS score was significantly decreased compared with those before surgery at 12 months after surgery, and the differences were statistically significant (P≤0.05). There was no statistically significant difference in shoulder function and pain scores between the two groups at 12 months postoperatively (P>0.05). There was no significant difference in CSA between the preoperative and postoperative 12 months in the traditional acromioplasty group (P>0.05), and the postoperative 12 months CSA in the modified anterolateral acromioplasty group was significantly smaller than the preoperative CSA, with a statistically significant difference (P≤0.05). At 12 months postoperatively, the rates of rotator cuff retears were 16.67% (7/42) and 4% (2/50) in the two groups, respectively, with statistically significant differences (P≤0.05).
Conclusions: Both traditional acromioplasty and modified anterolateral acromioplasty performed during the treatment of total rotator cuff tears using arthroscopic rotator cuff repair significantly improved the function of the shoulder joint in patients, but modified anterolateral acromioplasty significantly reduced the CSA value and decreased the incidence of rotator cuff retears.
Low physical activity and depression are the prominent predictive factors for falling in older adults: the Birjand Longitudinal Aging Study (BLAS)
Authors: Mortazavi Sara , Delbari* Ahmad , Vahedi Mohsen , Fadayevatan Reza , Moodi Mitra , Fakhrzadeh Hossein , Khorashadizadeh Masoumeh , Sobhani Ameneh , Payab Moloud , Ebrahimpur Mahbube , Ejtahed Hanieh-Sadat , Sharifi Farshad* 
Published: August 2023

Abstract
Background
Falling in the elderly has many irreparable consequences, including hospitalization to long-term care centers and loss of independence, depression and social isolation, financial burden, and death. The present study was conducted to estimate the incidence of falls and their associated factors among community-dwelling older adults.
Methods
This program is a population-based prospective cohort study (≥ 60 years) in Birjand City from 2019–2020. A total of 1418 participants were included in the study, and 1344 participants were analyzed according to the inclusion criteria. Thirty-nine risk factors were evaluated. Basic information included demographic information, lifestyle factors, general health and medical history, and mental and functional health.
Result
The incidence of falls among community-dwelling older adults in the previous approximately 24 months in the present study was 9.26% in women and 2.65% in men. In the multiple Cox proportional regression model based on fall risk factors, there was a strong significant relationship between male sex (HR = 0.37, CI = 0.21 to 0.64), being physically active (HR = 0.59, CI = 0.36 to 0.96), moderate-to-severe depression (HR = 2.97, CI = 1.47 to 6.01), severe depression (HR = 3.26, CI = 1.24 to 8.54), and high risk of falls according to the TUG test (HR = 1.73, CI = 1.10 to 2.72).
Conclusions
Inactivity and depression were recognized as important factors in falls in elderly individuals. It is recommended for elderly individuals to have an active lifestyle to prevent falls and to prioritize the diagnosis and treatment of depression in elderly individuals. Women as a group at higher risk should be considered in prevention programs. In addition, the use of the TUG test to identify high-risk elderly individuals should be considered.
WITHDRAWN: Melatonin ameliorates RF-EMR-induced oxidative damage in mouse testis by inhibiting ferroptosis through Nrf2 pathway activation
Authors: Wang Jingjing , Dong Jie , Xu Qian , Su Danjie , Yan Song , Lei Hui , Yu Haikun , Ma Xuhui , Li Zhen , Wang Xiaohong 
Published: August 2023

Abstract
Background
In recent years, there has been increased examination of the harmful impacts of radiofrequency electromagnetic radiation (RF-EMR) on male reproductive ability, making it critical to explore effective protective measures. Melatonin has antioxidant and anti-apoptotic effects, and there is growing evidence that melatonin is beneficial to the reproductive process. The understanding of melatonin's biochemical mechanisms in safeguarding against testicular damage from RF-EMR exposure is limited.
Results
During the present investigation, it was observed that prolonged (8 weeks) exposure to RF-EMR [2.0 GHz; power density, 2.5 W/m2; systemic specific absorption rate (SAR), 0.125-0.5 W/kg] may lead to decreased testosterone and melatonin concentrations in the serum, reduced sperm quality, increased apoptosis levels, and elevated oxidative stress in male mice. Notably, the administration of melatonin (at a dosage of 10 mg/kg via intraperitoneal injection) mitigated the oxidative harm to the testicles and ferroptosis caused by RF-EMR in mice. Mechanistically, melatonin may inhibit ROS production and ferroptosis by stimulating the Nrf2 signaling pathway through its receptors (MT1/MT2).
Conclusion
Taken together, these results indicate that melatonin could potentially improve oxidative harm caused by RF-EMR in the testes of mice by blocking ferroptosis through the activation of the Nrf2 pathway via MT1/MT2 receptors.
Estimation of the transpulmonary pressure from the central venous pressure in mechanically ventilated patients
Authors: Franchi Federico , Detti Emanuele , Fogagnolo Alberto , Spadaro Savino , Cevenini Gabriele , Cataldo Gennaro , Addabbo Tommaso , Biuzzi Cesare , Marianello Daniele , Volta Carlo Alberto , Taccone Fabio Silvio , Scolletta Sabino 
Published: August 2023

Abstract
Purpose: Transpulmonary pressure (PL) calculation requires esophageal pressure (PES) as a surrogate of pleural pressure (Ppl), but its calibration is a cumbersome technique. Central venous pressure (CVP) swings may reflect tidal variations in Ppl and could be used instead of PES, but the interpretation of CVP waveforms could be difficult due to superposition of heartbeat-induced pressure changes. Thus, we developed a digital filter able to remove the cardiac noise to obtain a filtered CVP (f-CVP).
The aim of the study was to evaluate the accuracy of CVP and filtered CVP swings (ΔCVP and Δf-CVP, respectively) in estimating esophageal respiratory swings (ΔPES) and compare PL calculated with CVP, f-CVP and PES; then we tested the diagnostic accuracy of the f-CVP method to identify unsafe high PL levels.
Methods: Twenty patients with acute respiratory failure (defined as PO2/FiO2 ratio below 200 mmHg) treated with invasive mechanical ventilation and monitored with esophageal balloon and central venous catheter were enrolled prospectively. For each patient a recording session at baseline was performed, repeated if a modification in ventilatory settings occurred. PES, CVP and airway pressure during an end-inspiratory and -expiratory pause were simultaneously recorded; CVP, f-CVP and PES waveforms were analyzed off-line and used to calculate transpulmonary pressure (PLCVP, PLf-CVP, PLPES, respectively).
Results: Δf-CVP correlated better than ΔCVP with ΔPES (r=0.8, p=0.001 vs r=0.08, p=0.73), with a lower bias in Bland Altman analysis (mean bias -0.16, LoA -1.31, 0.98 cmH2O vs mean bias -0.79, LoA -3.14, 1.55 cmH2O). Both PLf-CVP and PLCVP correlated well with PLPES (r=0.98, p<0.001 vs r=0.94, p<0.001), again with a lower bias in Bland Altman analysis (0.15, LoA – 0.95, 1.26 cmH2O vs 0.80, LoA – 1.51, 3.12, cmH2O). PLf-CVP discriminated high PL value with an area under the receiver operating characteristic curve 0.99 (standard deviation, SD, 0.02) (AUC difference= 0.01 [-0.024; 0.05], p= 0.48).
Conclusions: In mechanically ventilated patients with acute respiratory failure, Δf-CVP estimated ΔPES and PL obtained from digital filtered CVP represented a reliable value of standard PL measured with the esophageal method and could identify patients with non-protective ventilation settings.
Analysis of transient and intermittent flows using a multidimensional empirical mode decomposition
Authors: Souza Lucas F. , Miotto Renato F. , Wolf William 
Published: August 2023

Abstract
Modal decomposition techniques are important tools for the analysis of unsteady flows and, in order to provide meaningful insights with respect to coherent structures and their characteristic frequencies, the modes must possess a robust spatial support. In this context, although widely used, methods based on singular value decomposition (SVD) may produce modes that are difficult to interpret when applied to problems dominated by intermittent and transient events. Fortunately, specific modal decomposition techniques have been recently developed to analyze such problems. However, a proper comparison between existing methods is still lacking from the literature. Therefore, this work compares two recent methods: the fast adaptive multivariate empirical mode decomposition (FA-MVEMD) and the multi-resolution dynamic mode decomposition (mrDMD). These techniques are employed here for the study of flow databases involving transient and intermittent dynamics. Specifically, the investigated problems include an SD7003 airfoil subjected to deep dynamic stall conditions, and a steady NACA0012 air-foil operating at a transitional Reynolds number. In the former case, the methods are employed to investigate the onset and evolution of the dynamic stall vortex (DSV), while in the latter case, intermittent vortex pairing is analyzed. We show that the combination of a multidimensional EMD with the Hilbert transform provides modes with superior spatial support when compared to the mrDMD, also allowing the characterization of instantaneous frequencies of coherent structures. Moreover, the EMD also condenses a larger amount of information within a single intrinsic mode function (IMF).