bluuebunny/crossref_metadata_2025 huggingface dataset:
State of the Art in the Development of Human Serum Carnosinase Inhibitors
Authors: Regazzoni Luca
Published: May 2024

Human serum carnosinase is an enzyme that operates the preferential hydrolysis of dipeptides with a C-terminus histidine. Only higher primates excrete such an enzyme in serum and cerebrospinal fluid. In humans, the serum hydrolytic rate has high interindividual variability owing to gene polymorphism, although age, gender, diet, and also diseases and surgical interventions can modify serum activity. Human genetic diseases with altered carnosinase activity have been identified and associated with neurological disorders and age-related cognitive decline. On the contrary, low peripheral carnosinase activity has been associated with kidney protection, especially in diabetic nephropathy. Therefore, serum carnosinase is a druggable target for the development of selective inhibitors. However, only one molecule (i.e., carnostatine) has been discovered with the purpose of developing serum carnosinase inhibitors. Bestatin is the only inhibitor reported other than carnostatine, although its activity is not selective towards serum carnosinase. Herein, we present a review of the most critical findings on human serum carnosinase, including enzyme expression, localization and substrate selectivity, along with factors affecting the hydrolytic activity, its implication in human diseases and the properties of known inhibitors of the enzyme.
Kallopterolides A–I, a New Subclass of seco-Diterpenes Isolated from the Southwestern Caribbean Sea Plume Antillogorgia kallos
Authors: Marrero Jeffrey , Amador Luis A. , Novitskiy Ivan M. , Kutateladze Andrei G. , Rodríguez Abimael D.
Published: May 2024

Kallopterolides A–I (1–9), a family of nine diterpenoids possessing either a cleaved pseudopterane or a severed cembrane skeleton, along with several known compounds were isolated from the Caribbean Sea plume Antillogorgia kallos. The structures and relative configurations of 1–9 were characterized by analysis of HR-MS, IR, UV, and NMR spectroscopic data in addition to computational methods and side-by-side comparisons with published NMR data of related congeners. An investigation was conducted as to the potential of the kallopterolides as plausible in vitro anti-inflammatory, antiprotozoal, and antituberculosis agents.
Design, Synthesis, and Photophysical Properties of 5-Aminobiphenyl Substituted [1,2,4]Triazolo[4,3-c]- and [1,2,4]Triazolo[1,5-c]quinazolines
Authors: Moshkina Tatyana N. , Kopotilova Alexandra E. , Ivan’kina Marya A. , Starnovskaya Ekaterina S. , Gazizov Denis A. , Nosova Emiliya V. , Kopchuk Dmitry S. , El’tsov Oleg S. , Slepukhin Pavel A. , Charushin Valery N.
Published: May 2024

Two series of novel [1,2,4]triazolo[4,3-c]- and [1,2,4]triazolo[1,5-c]quinazoline fluorophores with 4′-amino[1,1′]-biphenyl residue at position 5 have been prepared via Pd-catalyzed cross-coupling Suzuki–Miyaura reactions. The treatment of 2-(4-bromophenyl)-4-hydrazinoquinazoline with orthoesters in solvent-free conditions or in absolute ethanol leads to the formation of [4,3-c]-annulated triazoloquinazolines, whereas [1,5-c] isomers are formed in acidic media as a result of Dimroth rearrangement. A 1D-NMR and 2D-NMR spectroscopy, as well as a single-crystal X-ray diffraction analysis, unambiguously confirmed the annelation type and determined the molecular structure of p-bromophenyl intermediates and target products. Photophysical properties of the target compounds were investigated in two solvents and in the solid state and compared with those of related 3-aryl-substituted [1,2,4]triazolo[4,3-c]quinazolines. The exclusion of the aryl fragment from the triazole ring has been revealed to improve fluorescence quantum yield in solution. Most of the synthesized structures show moderate to high quantum yields in solution. Additionally, the effect of solvent polarity on the absorption and emission spectra of fluorophores has been studied, and considerable fluorosolvatochromism has been stated. Moreover, electrochemical investigation and DFT calculations have been performed; their results are consistent with the experimental observation.
Novel Betanucleorhabdoviruses Infecting Elderberry (Sambucus nigra L.): Genome Characterization and Genetic Variability
Authors: Šafářová Dana , Candresse Thierry , Veselská Jana , Navrátil Milan
Published: May 2024

The genus Betanucleorhabdovirus includes plant viruses with negative sense, non-segmented, single-stranded RNA genomes. Here, we characterized putative novel betanucleorhabdoviruses infecting a medically important plant, elderberry. Total RNA was purified from the leaves of several plants, ribodepleted and sequenced using the Illumina platform. Sequence data analysis led to the identification of thirteen contigs of approximately 13.5 kb, showing a genome structure (3′-N-P-P3-M-G-L-5′) typical of plant rhabdoviruses. The detected isolates showed 69.4 to 98.9% pairwise nucleotide identity and had the highest identity among known viruses (64.7–65.9%) with tomato betanucleorhabdovirus 2. A detailed similarity analysis and a phylogenetic analysis allowed us to discriminate the elderberry isolates into five groups, each meeting the sequence-based ICTV demarcation criterion in the Betanucleorhabdovirus genus (lower than 75% identity for the complete genome). Hence, the detected viruses appear to represent five novel, closely related betanucleorhabdoviruses, tentatively named Sambucus betanucleorhabdovirus 1 to 5.
Identification and Validation of Quantitative Trait Loci Associated with Fruit Puffiness in a Processing Tomato Population
Authors: Dalprá Dariva Françoise , Subode Su , Cho Jihuen , Nick Carlos , Francis David
Published: May 2024

Physiological disorders impact the yield and quality of marketable fruit in tomato. Puffy fruit caused by cavities inside the locule can be problematic for processing and fresh market quality. In this paper, we used a recombinant inbred line (RIL) and three derived processing tomato populations to map and validate quantitative trait loci (QTLs) for fruit puffiness across environments. Binary interval mapping was used for mapping the incidence of fruit puffiness, and non-parametric interval mapping and parametric composite interval mapping were used for mapping severity. Marker–trait regressions were carried out to validate putative QTLs in subsequent crosses. QTLs were detected on chromosome (Chr) 1, 2, and 4. Only the QTL on Chr 1 was validated in progeny from subsequent crosses. This QTL explained up to 22.5% of the variance in the percentage of puffy fruit, with a significant interaction between loci on Chr 2 and 4, increasing the percentage of puffy fruit by an additional 15%. The allele responsible for puffy fruit on Chr 1 was inherited from parent FG02-188 and was dominant towards increased incidence and severity. Marker-assisted selection (MAS) for the QTL on Chr 1 was as efficient as genomic selection (GS) in reducing the incidence and severity of puffy fruit, despite the potential contribution of other loci.
Yield and Fruit Characteristics of Tomato Crops Grown with Mineral Macronutrients: Impact of Organo-Mineral Fertilizers through Foliar or Soil Applications
Authors: Disciglio Grazia , Tarantino Annalisa , Frabboni Laura
Published: May 2024

The utilization of plant biostimulants has gained importance as a strategy by which to improve plant productivity and soil health. Two independent trials were conducted across two seasons (2021 and 2023) to evaluate the effects of foliar or soil applications of various commercial organo-mineral fertilizers (Futuroot®, Radicon® Amifort®) with biostimulant action that is exerted on yield and fruit characteristics of processing tomato crops (cv Taylor F1) that have been exposed to mineral macronutrients. These treatments were administered three times during the season: at the transplanting, pre-flowering and berry development stages. In the first trial, conducted in two fields characterized respectively by low and high fertility, foliar applications of Radicon®, which is based on humic acid and amino acids, increased the leaf greenness index SPAD compared with the control. Furthermore, the leaf green colour intensity (SPAD index), measured during the reproductive phases of the tomato exhibited a positive correlation (R2 = 0.726) with the marketable yield obtained. This increase in marketable yield was significant in the biostimulant treatment compared with the control in both soils, especially in the soil characterized by lower fertility (16.1%), when compared with the more fertile soil (6.8%). In the second trial, conducted in the low-fertility field mentioned above, soil applications of all biostimulants (Futuroot®, Radicon® and the combinations [Radicon® + Amifort-Plus®]) significantly increased the marketable yield by 27.8%, 13.5% and 27.7%, respectively, compared with the control. The most significant beneficial effects of both Futuroot® and [Radicon® + Amifort®] could be attributed to the combination of humic acids and auxins, cytokinins or microelements (Zn, Mn, MgO) present in the formulation of these products. Furthermore, the increase in marketable yield obtained when Radicon® was applied to leaves was higher (16.1%) than that observed with soil application (13.5%). In both trials, no relevant effects of biostimulant products were observed on most of the physicochemical characteristics of tomato fruits. In conclusion, the biostimulants based on humic acid and amino acids combined with chemical fertilizers tested in the present study and applied by fertigation were more effective in improving tomato yield, and therefore they can be recommended for efficient agricultural production.
Cytological Observation and RNA-Seq Analyses Reveal miR9564 and Its Target Associated with Pollen Sterility in Autotetraploid Rice
Authors: Lu Zijun , Huang Weicong , Zhu Lianjun , Liang Guobin , Huang Yu , Wu Jinwen , Chen Rou , Li Xiang , Liu Xiangdong
Published: May 2024

Understanding the regulation of autotetraploid sterility is essential for harnessing the strong advantages in genomic buffer capacity, biodiversity, and heterosis of autotetraploid rice. miRNAs play crucial roles in fertility regulation, yet information about their reproductive roles and target genes in tetraploid rice remains limited. Here, we used three tetraploid lines, H1 (fertile), HF (fertile), and LF (sterile), to investigate cytological features and identify factors associated with autotetraploid sterility. LF showed abnormal meiosis, resulting in low pollen fertility and viability, ultimately leading to scarce fertilization and a low-seed setting compared to H1 and HF. RNA-seq revealed 30 miRNA-candidate target pairs related to autotetraploid pollen sterility. These pairs showed opposite expression patterns, with differential expression between fertile lines (H1 and HF) and the sterile line (LF). qRT-PCR confirmed that miR9564, miR528, and miR27874 were highly expressed in the anthers of H1 and HF but not in LF, while opposite results were obtained in their targets (ARPS, M2T, and OsRPC53). Haplotype and expression pattern analyses revealed that ARPS was specifically expressed in lines with the same haplotype of MIR9564 (the precursor of miR9564) as LF. Furthermore, the Dual-GFP assay verified that miR9564 inhibited the fluorescence signal of ARPS-GFP. The over-expression of ARPS significantly decreased the seed setting rate (59.10%) and pollen fertility (50.44%) of neo-tetraploid rice, suggesting that ARPS plays important roles in autotetraploid pollen sterility. This study provides insights into the cytological characteristic and miRNA expression profiles of tetraploid lines with different fertility, shedding light on the role of miRNAs in polyploid rice.
Assessing Soil Quality, Wheat Crop Yield, and Water Productivity under Condition of Deficit Irrigation
Authors: Emran Mohamed , Ibrahim Omar M. , Wali Asal M. , Darwish Khaled M. , Badr Eldin Rasha M. , Alomran Maryam M. , El-Tahan Amira M.
Published: May 2024

Wheat is one of the most important cereal crops in Egypt and all over the world. Its productivity is adversely affected by drought due to deficient irrigation to provide nutrients required for plant growth. In a field experiment, silicon foliar applications at concentrations of 0, 200, and 400 mg L−1 were performed at different irrigation rates ranging from 1000 to 4000 m3 ha−1 to assess water irrigation productivity and wheat crop yield in a calcareous soil under arid climate conditions. Increased irrigation rates led to a significant increase in soil nutrient dynamics, as well as in the number and weight of grains per spike, leaf area index, grain yield, straw yield, and biological yield, with the exception of the weight of 1000 grains. Spraying with sodium silicate had a significant impact on grain yield and harvest index but did not significantly impact the other traits. Furthermore, the interaction between irrigation and silicate application rates showed significance only for grain yield, the number of spikes/m2, and the harvest index. Applying three times irrigation could produce the highest nutrient retention, wheat yield, and water irrigation productivity. No significance was observed between 3000 m3 ha−1 and 4000 m3 ha−1 irrigation, indicating a saving of 25% of applied irrigation water. It can be concluded that applying irrigation at 3000 m3 ha−1 could be a supplemental irrigation strategy. High wheat grain yield can be achieved under deficit irrigation (3000 m3 ha−1) on the northwestern coast of Egypt with an arid climate by spraying crops with sodium silicate at a rate of 400 mg L−1.
Analysis of Microwave Effects on the MnO2-Catalyzed Toluene Oxidation Pathway
Authors: Yang Fengming , Ye Yi , Ding Lili , Zhu Huacheng , Luo Jianhong , Gao Long , Song Yunfei , Yin Shumeng
Published: May 2024

Microwave radiation has become an effective catalytic combustion method, especially in the degradation of volatile organic compounds (VOCs) such as toluene using catalysts like MnO2. In this study, a spine waveguide microwave reactor was designed to investigate the influence of different microwave processing conditions on the degradation of toluene catalyzed by MnO2. An experimental system for microwave-assisted catalytic degradation of toluene was established to explore the relationship between microwave power, catalyst conductivity, and toluene degradation rate. The results showed that the efficiency of MnO2 catalyzing toluene degradation had a nonlinear relationship with microwave power, first increasing to a peak and then decreasing. Additionally, the experiment found that the degradation rate of toluene was positively correlated with the conductivity of MnO2. Subsequent characterization analyses using X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and scanning electron microscopy (SEM) further verified the changes in the microstructure and properties of MnO2 under microwave heating. The characterization results showed that with the increase in microwave power, the relative content of Mn3+ on the surface of MnO2 increased, and the relative content of adsorbed oxygen also increased accordingly. At a microwave power of 100 W, the treated MnO2 displayed the optimal ratio of manganese oxidation state and oxide, both close to 1:1, which was more conducive to the degradation of toluene. Based on these findings, this study hypothesized that the microwave-enhanced catalytic degradation of toluene by MnO2 may be attributed to changes in the surface electron transfer kinetics of MnO2, providing new insights into the field of microwave-enhanced catalysis.
An Efficient Multi-Label Classification-Based Municipal Waste Image Identification
Authors: Wu Rongxing , Liu Xingmin , Zhang Tiantian , Xia Jiawei , Li Jiaqi , Zhu Mingan , Gu Gaoquan
Published: May 2024

Sustainable and green waste management has become increasingly crucial due to the rising volume of waste driven by urbanization and population growth. Deep learning models based on image recognition offer potential for advanced waste classification and recycling methods. However, traditional image recognition approaches usually rely on single-label images, neglecting the complexity of real-world waste occurrences. Moreover, there is a scarcity of recognition efforts directed at actual municipal waste data, with most studies confined to laboratory settings. Therefore, we introduce an efficient Query2Label (Q2L) framework, powered by the Vision Transformer (ViT-B/16) as its backbone and complemented by an innovative asymmetric loss function, designed to effectively handle the complexity of multi-label waste image classification. Our experiments on the newly developed municipal waste dataset “Garbage In, Garbage Out”, which includes 25,000 street-level images, each potentially containing up to four types of waste, showcase the Q2L framework’s exceptional ability to identify waste types with an accuracy exceeding 92.36%. Comprehensive ablation experiments, comparing different backbones, loss functions, and models substantiate the efficacy of our approach. Our model achieves superior performance compared to traditional models, with a mean average precision increase of up to 2.39% when utilizing the asymmetric loss function, and switching to ViT-B/16 backbone improves accuracy by 4.75% over ResNet-101.
Numerical Investigation of Heat Transfer Characteristics of Trapezoidal Fin Phase Change Thermal Energy Storage Unit
Authors: Luo Haobing , Yang Changchuan , Xu Meng , Zhang Ying
Published: May 2024

In order to enhance the heat transfer performance of a phase change thermal energy storage unit, the effects of trapezoidal fins of different sizes and arrangement modes were studied by numerical simulation in the heat storage and release processes. The optimal enhancement solution was obtained by comparing the temperature distribution, instantaneous liquid-phase ratio, solid–liquid phase diagram and comprehensive heat storage and release performance of the thermal energy storage unit under different fin sizes. During the heat storage process, the results show that when the ratio of the length of the upper and lower base of the trapezoid h1/h2 is 1:9, the heat storage time is shortened by 9.03% and 18.21% compared with h1/h2 = 3:7 and 5:5, respectively. During the heat release process, the optimal heat transfer effect is achieved when h1/h2 = 5:5. To further improve the heat transfer effects, the energy storage unit is placed upside down; then, the least time is achieved when h1/h2 = 2:8. When heat storage and release are considered together, the energy storage unit with h1/h2 = 2:8 takes the shortest time to melt in upright placement and then to solidify in upside-down placement.
Feasibility Analysis of ECG-Based pH Estimation for Asphyxia Detection in Neonates
Authors: Hussain Nadia Muhammad , Amin Bilal , McDermott Barry James , Dunne Eoghan , O’Halloran Martin , Elahi Adnan
Published: May 2024

Birth asphyxia is a potential cause of death that is also associated with acute and chronic morbidities. The traditional and immediate approach for monitoring birth asphyxia (i.e., arterial blood gas analysis) is highly invasive and intermittent. Additionally, alternative noninvasive approaches such as pulse oximeters can be problematic, due to the possibility of false and erroneous measurements. Therefore, further research is needed to explore alternative noninvasive and accurate monitoring methods for asphyxiated neonates. This study aims to investigate the prominent ECG features based on pH estimation that could potentially be used to explore the noninvasive, accurate, and continuous monitoring of asphyxiated neonates. The dataset used contained 274 segments of ECG and pH values recorded simultaneously. After preprocessing the data, principal component analysis and the Pan–Tompkins algorithm were used for each segment to determine the most significant ECG cycle and to compute the ECG features. Descriptive statistics were performed to describe the main properties of the processed dataset. A Kruskal–Wallis nonparametric test was then used to analyze differences between the asphyxiated and non-asphyxiated groups. Finally, a Dunn–Šidák post hoc test was used for individual comparison among the mean ranks of all groups. The findings of this study showed that ECG features (T/QRS, T Amplitude, Tslope, Tslope/T, Tslope/|T|, HR, QT, and QTc) based on pH estimation differed significantly (p < 0.05) in asphyxiated neonates. All these key ECG features were also found to be significantly different between the two groups.
A Proposed Device for Controlling the Flow of Information Based on Weyl Fermions
Authors: Tsigaridas Georgios N. , Kechriniotis Aristides I. , Tsonos Christos A. , Delibasis Konstantinos K.
Published: May 2024

In this work we propose a novel device for controlling the flow of information using Weyl fermions. Based on a previous work by our group, we show that it is possible to fully control the flow of Weyl fermions on several different channels by applying an electric field perpendicular to the direction of motion of the particles on each channel. In this way, we can transmit information as logical bits, depending on the existence or not of a Weyl current on each channel. We also show that the response time of this device is exceptionally low, less than 1 ps, for typical values of its parameters, allowing for the control of the flow of information at extremely high rates of the order of 100 Petabits per second. Alternatively, this device could also operate as an electric field sensor. In addition, we demonstrate that Weyl fermions can be efficiently guided through the proposed device using appropriate magnetic fields. Finally, we discuss some particularly interesting remarks regarding the electromagnetic interactions of high-energy particles.
Computer-Vision- and Deep-Learning-Based Determination of Flow Regimes, Void Fraction, and Resistance Sensor Data in Microchannel Flow Boiling
Authors: Schepperle Mark , Junaid Shayan , Woias Peter
Published: May 2024

The aim of this article is to introduce a novel approach to identifying flow regimes and void fractions in microchannel flow boiling, which is based on binary image segmentation using digital image processing and deep learning. The proposed image processing pipeline uses adaptive thresholding, blurring, gamma correction, contour detection, and histogram comparison to separate vapor from liquid areas, while the deep learning method uses a customized version of a convolutional neural network (CNN) called U-net to extract meaningful features from video frames. Both approaches enabled the automatic detection of flow boiling conditions, such as bubbly, slug, and annular flow, as well as automatic void fraction calculation. Especially CNN demonstrated its ability to deliver fast and dependable results, presenting an appealing substitute to manual feature extraction. The U-net-based CNN was able to segment flow boiling images with a Dice score of 99.1% and classify the above flow regimes with an overall classification accuracy of 91%. In addition, the neural network was able to predict resistance sensor readings from image data and assign them to a flow state with a mean squared error (MSE) < 10−6.
Self-Tuning of Signal Detection Level for Energy Detection-Based Carrier Sense in Low-Power Wide-Area Networks
Authors: Narieda Shusuke , Fujii Takeo
Published: May 2024

Carrier sense allows end devices to improve the communication quality through autonomous decentralization by consuming power. In particular, energy detection-based carrier sense can improve communication quality compared with peak detection-based carrier sense. To improve the trade-off between communication quality and energy consumption in low-power wide-area networks (LPWANs), this study proposes a self-tuning method for the signal detection level of an energy detection-based carrier sense, that is, the carrier sense level in sub-GHz band LPWANs. In the proposed method, the carrier sense level of each end device is determined based on the reception success probability of the acknowledgment packet, such that they become low carrier sense levels for an end device with low probability and high carrier sense levels for an end device with high probability. The proposed method enables autonomous decentralized derivation of the carrier sense level using only existing protocols. Numerical examples show that the proposed method can improve the performance of end devices with a high path loss to a gateway.
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
Authors: Chappa Naga Venkata Sai Raviteja , Nguyen Pha , Le Thi Hoang Ngan , Dobbs Page Daniel , Luu Khoa
Published: May 2024

Group-activity scene graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequences. Traditional video scene graph generation (VidSGG) methods focus on retrospective analysis, limiting their predictive capabilities. To enrich the scene-understanding capabilities, we introduced a GASG dataset extending the JRDB dataset with nuanced annotations involving appearance, interaction, position, relationship, and situation attributes. This work also introduces an innovative approach, a Hierarchical Attention–Flow (HAtt-Flow) mechanism, rooted in flow network theory to enhance GASG performance. Flow–attention incorporates flow conservation principles, fostering competition for sources and allocation for sinks, effectively preventing the generation of trivial attention. Our proposed approach offers a unique perspective on attention mechanisms, where conventional “values” and “keys” are transformed into sources and sinks, respectively, creating a novel framework for attention-based models. Through extensive experiments, we demonstrate the effectiveness of our Hatt-Flow model and the superiority of our proposed flow–attention mechanism. This work represents a significant advancement in predictive video scene understanding, providing valuable insights and techniques for applications that require real-time relationship prediction in video data.
Layered Fusion Reconstruction Based on Fuzzy Features for Multi-Conductivity Electrical Impedance Tomography
Authors: Wang Zeying , Li Jiaqing , Sun Yixuan
Published: May 2024

In medical imaging, detecting tissue anomalies is vital for accurate diagnosis and effective treatment. Electrical impedance tomography (EIT) is a non-invasive technique that monitors the changes in electrical conductivity within tissues in real time. However, the current challenge lies in simply and accurately reconstructing multi-conductivity distributions. This paper introduces a layered fusion framework for EIT to enhance imaging in multi-conductivity scenarios. The method begins with pre-imaging and extracts the main object from the fuzzy image to form one layer. Then, the voltage difference in the other layer, where the local anomaly is located, is estimated. Finally, the corresponding conductivity distribution is established, and multiple layers are fused to reconstruct the multi-conductivity distribution. The simulation and experimental results demonstrate that compared to traditional methods, the proposed method significantly improves multi-conductivity separation, precise anomaly localization, and robustness without adding uncertain parameters. Notably, the proposed method has demonstrated exceptional accuracy in local anomaly detection, with positional errors as low as 1% and size errors as low as 33%, which significantly outperforms the traditional method with respective minimum errors of 9% and 228%. This method ensures a balance between the simplicity and accuracy of the algorithm. At the same time, it breaks the constraints of traditional linear methods, struggling to identify multi-conductivity distributions, thereby providing new perspectives for clinical EIT.
An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry
Authors: Liu Zhiqiang , Xin Ziwei , Guo Caiyun , Zhao Yaping
Published: May 2024

New urbanization in counties and the logistics industry are closely related and are essential in promoting regional economic and social development. There are specific challenges and obstacles to revealing the interaction mechanism and system state measurement between the two. This paper explains the two coupling mechanisms and constructs the evaluation index system. It proposes a new analysis method based on the coupling coordination degree model, the spatio-temporal evolution analysis, and the grey prediction model. The goal is to learn more about and fully realize the coordinated development mechanisms of the two. It then uses the Hebei province of China as an example to empirically analyze its systematic cross-sectional data from 2013 to 2022. Research findings: (1) In Hebei province, the new urbanization in counties and the logistics industry have a systematic coupling relationship. However, the logistics industry’s comprehensive development level is relatively lagging. The two systems have been at a high-level coupling stage for the last decade and maintain a high coupling status. The coupling coordination has shown significant improvement. (2) Although the geographical distribution of the coupling and coordination degree of the new urbanization in counties and logistics industry system has short-term volatility, it is still stable in the long term and presents economic-related spatial characteristics. (3) Over the next five years, the coupling coordination of 11 cities in Hebei province will steadily grow. There will be greater harmonization between the two systems. (4) From the analysis results, the evaluation index system of the coupled system constructed is scientific and reasonable. The analysis method can not only measure the system’s coupling degree, but it can also predict the development trend and analyze the spatial evolution. The technique has novelty and validity, which can be used as a reference for analyzing and making decisions about similar systems.
Cardiac and Neurological Complications Post COVID-19 Vaccination: A Systematic Review of Case Reports and Case Series
Authors: Lee Kai Wei , Yap Sook Fan , Amin-Nordin Syafinaz , Ngeow Yun Fong
Published: May 2024

Following mass vaccinations for the control of the COVID-19 epidemic, a spectrum of cardiac and neurological disorders was reported among vaccinated individuals. This study examined the range of complications documented and factors related to their occurrence. Three electronic databases were searched for case reports and case series with descriptions of cardiac and/or neurological complications in COVID-19 vaccine recipients. A total of 698 vaccinees were included in this review, of which 259 (37.1%) had cardiac and 439 (62.9%) had neurological complications. Inflammatory conditions were the commonest among the cardiac complications; while polyneuropathy, demyelinating diseases and cerebrovascular disorders were the more common neurological complications. The mean age of those with cardiac complications (33.8 years) was much younger than those with neurological complications (49.7 years). There was no notable difference in the gender distribution between these two groups of vaccine recipients. mRNA vaccines (all brands) were associated with almost 90.0% of the cardiac complications, whereas viral vector vaccines were associated with slightly over half (52.6%) of the neurological complications. With regard to the dose, cardiac complications were more common after the second (69.1%), whereas neurological complications were more common after the first dose (63.6%). The majority of the cases had an uncomplicated clinical course. Nevertheless, 5.9% of cases with neurological complications and 2.5% of those with cardiac complications were fatal, underscoring the significance of the consistent surveillance and vigilant monitoring of vaccinated individuals to mitigate these occurrences.
Application of Improved Ant Colony Algorithm in Optimizing the Charging Path of Electric Vehicles
Authors: Qi Zhiqun
Published: May 2024

In current traffic congestion scenarios, electric vehicles (EVs) have the problem of reduced battery life and continuous decline in endurance. Therefore, this study proposes an optimization method for electric vehicle charging scheduling based onthe ant colony optimization algorithm with adaptive dynamic search (ADS-ACO), and conducts experimental verification on it. The experiment revealed that in the four benchmark functions, the research algorithm has the fastest convergence speed and can achieve convergence in most of them. In the validation of effectiveness, the optimal solution for vehicle time consumption under the ADS-ACO algorithm in the output of the algorithm with a stationary period and a remaining battery energy of 15 kW·h was 2.146 h in the regular road network. In the initial results of 15 kW·h under changes in road conditions from peak to peak periods, the total energy consumption of vehicles under the research algorithm was 4.678 kW·h and 4.656 kW·h under regular and irregular road networks, respectively. The change results were 4.509 kW·h and 4.656 kW·h, respectively. The initial results of 10 kW·h were 4.755 kW·h and 4.873 kW·h, respectively. The change results were 4.461 kW·h and 4.656 kW·h, respectively, which are lower than the comparison algorithm. In stability verification, research algorithms can find the optimal path under any conditions. The algorithm proposed in the study has been demonstrated to be highly effective and stable in electric vehicle charging path planning. It represents a novel solution for electric vehicle charging management and is expected to significantly enhance the range of electric vehicles in practical applications.
Estudo de alimentos denominados “naturais” para cães comercializados em Florianópolis - SC
Authors: Miranda Danielli Pinheiro , Hauptli Lucélia , Lima André Luis Ferreira , Moraes Priscila de Oliveira , Miotto Marília , Thaines Luiza , Rossignatti Bruna Queiros
Published: May 2024

O objetivo do estudo foi avaliar alimentos considerados “naturais”, para cães comercializados em Florianópolis – SC, em relação a conformidade com a legislação, composições nutricionais (para proteína bruta, extrato etéreo, fibra bruta, matéria mineral, cálcio e fósforo), informações nos rótulos e qualidade microbiológica. Os alimentos foram divididos em dois grupos: com e sem fabricante registrado no Ministério da Agricultura, Pecuária e Abastecimento (MAPA). As análises nutricionais foram comparadas com os níveis mínimos de exigências das tabelas de referência oficiais utilizadas para formulações de dietas para cães. A comparação destes dados entre os dois grupos foi realizada por análise de variância com nível de 5% de significância. Foram identificados sete alimentos, quatro com fabricante registrado no MAPA e três sem registro. Dos alimentos com registro, um destes, não atendeu completamente aos itens necessários no rótulo. Dos alimentos sem registro, nenhum atendeu completamente à legislação, faltando em torno de 60% das informações. Os resultados das análises dos nutrientes nos sete alimentos não mostraram diferenças (P>0,05) e apresentaram valores dentro dos níveis recomendados por tabelas de exigências oficiais. A exceção dos níveis de cálcio que foram diferentes entre os alimentos com (1,5%) e sem registro de fabricante (0,06%). A média do Ca nos alimentos sem registro foi muito menor que o mínimo exigido para um cão adulto (0,6%). Dos quatro alimentos com registro ocorreram situações de níveis nutricionais e de matéria seca analisados diferentes dos declarados no rótulo. Nas análises microbiológicas, houve ausência de Salmonella spp. e baixa prevalência de coliformes nos sete alimentos. Houve ocorrência maior que aceitável de bolores e leveduras em cinco dos setes alimentos.  Conclui-se que os alimentos denominados naturais comercializados Florianópolis – SC para cães, que não tem registro no MAPA não apresentam informações exigidas por lei em seus rótulos. Os níveis nutricionais analisados dos alimentos, com e sem registro, estão de acordo com as tabelas oficiais de exigências nutricionais dos cães, a exceção do Ca que estava abaixo do exigido nos alimentos sem registro. Dos quatro alimentos com registro de fabricante ocorreram situações de níveis nutricionais e de matéria seca analisados diferentes dos declarados no rótulo. A qualidade microbiológica pode ser considerada satisfatória, a exceção de bolores que apresentaram alta incidência em cinco alimentos analisados.
As fundadas razões para entrada em domicilio pela Policia Militar e sua legalidade
Authors: Cardoso Alexsander , Vieira Leonardo Rozwalka
Published: May 2024

A entrada em domicílio possui amparo constitucional e ocorre durante as mais diversas situações do serviço policial, desde situações de flagrante delito, a hipótese do crime permanente de tráfico de drogas, durante abordagens policiais ou quando em situações investigativas para cumprimento de ordens judiciais. Diante disso é necessário analisar as nuances legais e jurisprudenciais para estabelecer em que hipóteses concretas a entrada em domicílio por policiais militares é permitida, sem que ultrapasse os limites estabelecidos pela Constituição Federal e demais normas infraconstitucionais. Para tal, foram analisadas decisões de diferentes tribunais acerca do tema, uma vez que este vem sendo amplamente discutido, com decisões reformadas pelo Superior Tribunal de Justiça, e até mesmo pelo Supremo Tribunal Federal, enveredando para entendimentos que podem, no mínimo, dificultar a eficácia do serviço policial aumentando a já existente sensação de impunidade do Estado contra infratores da lei e organizações criminosas. As conclusões extraídas trazem supedâneo para que policiais militares atuem de forma legal nas situações em que se faz necessário a entrada em domicílio, evitando o cometimento de crime de abuso de autoridade ou outra ilegalidade que acabe culminando na nulidade de provas e impunidade de criminosos.
Avaliação da capacidade de produção de ácido indolacético (AIA) por isolados de rizóbios provenientes do Banco de Germoplasma da FCA/UFAM
Authors: Silva Milena Sousa , Hara Francisco Adilson dos Santos , Viana Igor Davi Vasconcelos , Matos Junior Wilson Araujo , Müller Nícolas , Souza Tiago Way Serrão de , Costa Tiago Vinícius das Chagas , Mourão Maria Julia Pereira da Silva
Published: May 2024

Estudos mostram que os rizóbios além de fixarem nitrogênio, são capazes de produzir hormônios de crescimento na rizosfera das plantas e assim, estimular o crescimento das mesmas. Essa versatilidade dos rizóbios deve ser melhor explorada, principalmente na Amazônia onde predomina a agricultura a familiar, cuja característica principal é a descapitalização. Além disso, os solos predominantes são de baixa fertilidade sendo necessárias medidas de baixo custo que possam tornar as plantas capazes de se desenvolver e alcançar patamares de produção satisfatórios. O seguinte trabalho teve como objetivo avaliar a capacidade de isolados de rizóbios em produzir ácido indolacético (AIA) e ainda estimular o crescimento de plantas de couve. Os isolados foram avaliados quanto a capacidade de produzir AIA na ausência e presença de diferentes concentrações de triptofano (10, 25, 75, 50, 100, 125 e 150 mg L-1). As maiores produções de AIA foram obtidas nas maiores concentrações de triptofano acrescentados ao meio de cultura. A estirpe FCAN02b foi a que apresentou a maior produção de AIA. Ocorreu, de maneira geral, uma relação linear entre a concentração de triptofano e a produção de AIA. Os isolados estimularam a germinação, mas afetaram de foram negativa o crescimento das plântulas de couve.
Análise da percepção de alunos de nutrição sobre o uso de metodologias ativas na disciplina de projeto integrador
Authors: Merlini Vanessa Vanderléia
Published: May 2024

Com as mudanças pelas quais o ensino tem passado, é cada vez mais importante pensar em novas estratégias pedagógicas que proporcionem aos estudantes uma aprendizagem significativa e, para tanto, o uso de metodologias ativas se torna uma ferramenta acessível, que estimula o aluno durante sua formação. O presente artigo tem como objetivo avaliar as percepções de graduandos em Nutrição sobre o uso de metodologias ativas na disciplina de Projeto Integrador, desenvolvida durante um semestre. Como instrumento de investigação, um questionário foi aplicado a 22 estudantes, ao final da disciplina, com o propósito de compreender como o uso das metodologias ativas auxilia o processo de aprendizagem de acadêmicos em formação. As respostas foram analisadas de maneira qualitativa e os resultados apontaram que os estudantes sentiram confiança no processo de aprendizagem com metodologias ativas, além de se sentirem mais responsáveis pela própria formação, desenvolvendo habilidades e competências preconizadas pelas Diretrizes Curriculares Nacionais do Curso de Nutrição, como autonomia e tomada de decisão baseada em evidências científicas. Alguns pontos de dificuldade foram levantados pelos discentes, como gestão de tempo e manejo do grupo de trabalho. No entanto, mesmo diante de alguns desafios, a maioria dos alunos sinalizou que gostaria de trabalhar com metodologias ativas em outras disciplinas, evidenciando ganhos no aprendizado. Para que essa estratégia possa resultar em benefícios efetivos, é importante que o professor tenha feedback dos estudantes, possibilitando ajustes em trabalhos futuros e mudanças pedagógicas quando necessário.
Nota Editorial
Authors: Hernández Quintero Juan Esteban
Published: May 2024

Nota Editorial
 
Se presenta en este número el resultado del trabajo realizado por autores en Chile, Rusia, Costa Rica, Argentina, Ecuador y México. Los tópicos que aborda este número incluyen sismología, que representa un riesgo para la población. El tema aborda un llamado al uso de sistemas de alertamiento, y al estudio profundo del comportamiento de la sismicidad en diversas áreas del planeta. Así mismo, la aplicación de la prospección geo-eléctrica nos brinda una herramienta de gran utilidad en la mitigación de riesgos de carácter ambiental; además de un recurso para cuantificar la saturación del agua subterránea, un recurso vital que debe ser considerado estratégico.
En un ejercicio de análisis en la reseña incluida en este número, se demuestra que los esfuerzos trans e interdisciplinarios representan un panorama prometedor para abordar temas extensos y ciertamente complejos. En la reseña “exploraciones del mundo subterráneo. Un acercamiento al Gran Acuífero Maya”, se devela la gran variedad de proyectos ligados a un solo objetivo: analizar la sociedad que conformó el antiguo mundo maya, el cuál actualmente está conformado por cinco países, y que, en el conocimiento actual, abarca 500,000 kilómetros cuadrados, incluyendo los grandes centros de desarrollo en Palenque, Calakmul, Tikal y Copán.
Los artículos presentados en este número 70 siguen demostrando el abanico de temas de riesgo en nuestras sociedades; la importancia de la geofísica en el ámbito de la mitigación y prevención no deja de ser primordial. Por otro lado, la capacidad de los métodos geofísicos para analizar las sociedades del pasado, enriquece el acervo de conocimiento de los países miembros.
Se cumple una vez más, uno de los objetivos del Instituto Panamericano de Geografía e Historia, que consiste en la difusión del conocimiento y del trabajo que los profesionales en las Ciencias de la Tierra desarrollan en diversas entidades generadoras de conocimiento. El intercambio de experiencias en temas específicos, fomenta las relaciones entre los países de América, y del mundo entero.
 
 
 
El Editor
Exploraciones del Mundo Subterráneo. Un acercamiento al Gran Acuífero Maya, Guillermo de Anda (editor)
Authors: Caccavari Garza Ana
Published: May 2024

En los últimos años se ha visto un incremento en la atención sobre la península de Yucatán, México: un área de por sí interesante debido, a la herencia de la cultura maya, que se ve reflejada en su actual sociedad y lugares arqueológicos emblemáticos, y que ahora, relacionado con la construcción de nuevas vías de comunicación, ha puesto al descubierto el poco conocido mundo subterráneo de esta área de México.
Seismic moment tensor solutions and geophysical settings in the Philippine Sea basin mapped by GMT
Authors: Lemenkova Polina
Published: May 2024

The study is focused on mapping geophysical settings on the margins of the Philippine Sea Plate (PSP). Active volcanism and seismic situation along the margins of the Philippine Sea Basin (PSB) shows earthquake events demonstrating high seismicity of the region caused by tectonic plate subduction. The aim was to perform cartographic mapping of the earthquake events using Generic Mapping Tools (GMT) modules, to analyze seismic situation through visualization of the geophysical datasets. The data was processed by GMT using multi-source data: GEBCO, CMT and ISC seismic data. Technically, a set of GMT modules was used ('psmeca', 'psvelo', 'grdtrack', 'grdimage') for data modelling and mapping. An application of GMT functionality is presented by selected code snippets with selected code snippets for 'psmeca' and 'psvelo', 'img2grd', 'img2grd' modules. Current paper presents a report on the cartographic techniques applied for geophysical mapping. Centroid moment tensor solutions are visualized for shallow depth earthquakes of Mw <10 along the PSB margins from 1976 to 2010. Earthquakes along the tectonic plate subduction zone are shown by GMT. Data from Global Centroid-Moment-Tensor (CMT) Project. Presented and explained GMT code snippets contribute to the development of methods in geological mapping using GMT scripting toolset, for visualizing focal mechanisms.
Aportes de la sismología a la reducción del riesgo
Authors: Fernandez Arce Mario Enrique
Published: May 2024

Este artículo se refiere a los aportes de la Sismología a la reducción del riesgo a través del nuevo conocimiento generado recientemente, de estudios territoriales de amenaza sísmica y de aplicaciones a la evaluación del potencial de deslizamientos. Cada día es más necesario dar a conocer la importancia del quehacer científico, por cuanto los presupuestos para la investigación científica son cada vez más reducidos. El trabajo pretende que la Sociedad y las entidades estatales reconozcan y valoren la importancia de la Geofísica en la reducción de desastres y en la generación de bienestar y seguridad para la población. Para hacer la publicación se hizo previamente una investigación que requirió investigación bibliográfica, síntesis de estudios sismológicos y cálculo del parámetro de disparo de deslizamiento por sismo, utilizando datos de intensidad y aceleración sísmica. El resultado más importante es que el nuevo conocimiento y el dato sismológico sirve para reducir el riesgo y aumentar la protección, la seguridad y el bienestar de la población.
Resolución de parámetros del terremoto del 3 de marzo de 1985 a partir de la distribución de las deformaciones
Authors: Araneda Manuel , Avendaño María Soledad , Kausel Edgar
Published: May 2024

Variaciones de elevación registradas mediante medidas geodésicas, cambios de la componente vertical de la gravedad y observaciones directas de solevantamientos costeros, asociados al terremoto del 3 de Marzo de 1985 cuya magnitud fue Ms=7.8, permitieron obtener un modelo estático de dislocación de la falla que ajusta adecuadamente con la ubicación de los hipocentros de las replicas.
El modelo consta  con un segmento de falla con pendiente de 5° hacia el este, que se hace más inclinado en profundidad (22°- 25°) con deslizamiento de 0.4 a 0.6 m en la parte superficial y 1.8 a 2.1 m en la sección mas profunda. Estos resultados concuerdan con soluciones dinámicas obtenidas por otros autores e indican que gran parte del momento sísmico proviene de los tramos más profundos de la falla, donde se han encontrado las replicas de mayor magnitud.
Variaciones relativas de la gravedad observadas antes y después del terremoto indican que la ruptura se extendió hasta algo más al sur de Pichilemu. La información es insuficiente para estimar el límite norte de la ruptura.