bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Robust Adaptive RTK Positioning of Low-Cost Smart Terminals
Authors: Zhu Huizhong , Fan Jiabao , Li Jun , Li Bo
Published: February 2024

The performance of low-cost smart terminals is limited by the performance of their low-cost Global Navigation Satellite System (GNSS) hardware and chips, as well as by the impact of complex urban environments, which affect the positioning accuracy and stability of GNSS services. To this end, this paper proposes a robust adaptive Kalman filter for different environments that can be applied after data preprocessing. Based on the Kalman filter algorithm, a robust estimation approach is introduced into real-time kinematic (RTK) positioning to make judgments on the abnormal observation values of low-cost smart terminals, which amplifies the variance and covariance of the outlier observation equation, and reduces the impact of outliers on positioning performance. The Institute of Geodesy and Geophysics III (IGG III) function is used for regulation purposes, where prior information is modified and refreshed using the equivalent weight matrix and adaptive factors, thus reducing the impact of system model errors on system state estimation results. In addition, a robust factor is defined to adjust positioning deviation weighting between the pre- and post-test robust estimates. The experimental results show that after robust RTK positioning in the static experiments, the overall improvement in positioning accuracies of the Xiaomi 8, Huawei P40, Huawei mate40, and low-cost M8 receiver reached 29.6%, 31.3%, 32.1%, and 30.7%, respectively. Similarly, after applying the proposed robust method in the dynamic experiments, the overall positioning accuracies of the Xiaomi 8, Huawei P40, Huawei mate40, and the low-cost M8 receiver improved by 28.3%, 32.9%, 35.4%, and 26.2%, respectively. The experimental results reveal that an excellent positioning effect of a smartphone is positively correlated with robust RTK positioning performance. However, it is worth noting that when the positioning accuracy reaches a high level, such as the positioning results achieved using low-cost receivers, the robustness performance shows a relatively decreasing trend. This finding suggests that under the condition of high positioning accuracy, the sensitivity of specific positioning equipment to interference sources may increase, resulting in a decline in the effect of robust RTK positioning.
Bluetooth Device Identification Using RF Fingerprinting and Jensen-Shannon Divergence
Authors: Santana-Cruz Rene Francisco , Moreno-Guzman Martin , Rojas-López César Enrique , Vázquez-Morán Ricardo , Vázquez-Medina Rubén
Published: February 2024

The proliferation of radio frequency (RF) devices in contemporary society, especially in the fields of smart homes, Internet of Things (IoT) gadgets, and smartphones, underscores the urgent need for robust identification methods to strengthen cybersecurity. This paper delves into the realms of RF fingerprint (RFF) based on applying the Jensen-Shannon divergence (JSD) to the statistical distribution of noise in RF signals to identify Bluetooth devices. Thus, through a detailed case study, Bluetooth RF noise taken at 5 Gsps from different devices is explored. A noise model is considered to extract a unique, universal, permanent, permanent, collectable, and robust statistical RFF that identifies each Bluetooth device. Then, the different JSD noise signals provided by Bluetooth devices are contrasted with the statistical RFF of all devices and a membership resolution is declared. The study shows that this way of identifying Bluetooth devices based on RFF allows one to discern between devices of the same make and model, achieving 99.5% identification effectiveness. By leveraging statistical RFFs extracted from noise in RF signals emitted by devices, this research not only contributes to the advancement of the field of implicit device authentication systems based on wireless communication but also provides valuable insights into the practical implementation of RF identification techniques, which could be useful in forensic processes.
An Adaptive Partial Least-Squares Regression Approach for Classifying Chicken Egg Fertility by Hyperspectral Imaging
Authors: Adegbenjo Adeyemi O. , Liu Li , Ngadi Michael O.
Published: February 2024

Partial least-squares (PLS) regression is a well known chemometric method used for predictive modelling, especially in the presence of many variables. Although PLS was not initially developed as a technique for classification tasks, scientists have reportedly used this approach successfully for discrimination purposes. Whereas some non-supervised learning approaches, including, but not limited to, PCA and k-means clustering, do well in identifying/understanding grouping and clustering patterns in multidimensional data, they are limited when the end target is discrimination, making PLS a preferable alternative. Hyperspectral imaging data on a total of 672 fertilized chicken eggs, consisting of 336 white eggs and 336 brown eggs, were used in this study. Hyperspectral images in the NIR region of the 900–1700 nm wavelength range were captured prior to incubation on day 0 and on days 1–4 after incubation. Eggs were candled on incubation day 5 and broken out on day 10 to confirm fertility. While a total number of 312 and 314 eggs were found to be fertile in the brown and white egg batches, respectively, the total number of non-fertile eggs in the same set of batches was 23 and 21, respectively. Spectral information was extracted from a segmented region of interest (ROI) of each hyperspectral image and spectral transmission characteristics were obtained by averaging the spectral information. A moving-thresholding technique was implemented for discrimination based on PLS regression results on the calibration set. With true positive rates (TPRs) of up to 100% obtained at selected threshold values of between 0.50 and 0.85 and on different days of incubation, the results indicate that the proposed PLS technique can accurately discriminate between fertile and non-fertile eggs. The adaptive PLS approach was, thereby, presented as suitable for handling hyperspectral imaging-based chicken egg fertility data.
Experimental Analyses and Predictive Modelling of Ultrasonic Welding Parameters for Enhancing Smart Textile Fabrication
Authors: Baraya Mohamed , El-Asfoury Mohamed S. , Fadel Omnia O. , Abass Ahmed
Published: February 2024

This study aims to illustrate the design, fabrication, and optimisation of an ultrasonic welding (UW) machine to join copper wires with non-woven PVC textiles as smart textiles. The study explicitly evaluates UW parameters’ impact on heat generation, joint strength, and electrical properties, with a comprehensive understanding of the process dynamics and developing a predictive model applicable to smart textiles. The methodological approach involved designing and manufacturing an ultrasonic piezoelectric transducer using ABAQUS finite element analyses (FEA) software and constructing a UW machine for the current purpose. The full factorial design (FFD) approach was employed in experiments to systematically assess the influence of welding time, welding pressure, and copper wire diameter on the produced joints. Experimental data were meticulously collected, and a backpropagation neural network (BPNN) model was constructed based on the analysis of these results. The results of the experimental investigation provided valuable insights into the UW process, elucidating the intricate relationship between welding parameters and heat generation, joint strength, and post-welding electrical properties of the copper wires. This dataset served as the basis for developing a neural network model, showcasing a high level of accuracy in predicting welding outcomes compared to the FFD model. The neural network model provides a valuable tool for controlling and optimising the UW process in the realm of smart textile production.
Machine-Learning-Assisted Instantaneous Frequency Measurement Method Based on Thin-Film Lithium Niobate on an Insulator Phase Modulator for Radar Detection
Authors: Jia Qianqian , Xiang Zichuan , Li Dechen , Liu Jianguo , Li Jinye
Published: February 2024

A simple microwave photonic, reconfigurable, instantaneous frequency measurement system based on low-voltage thin-film lithium niobate on an insulator phase modulator is put forward and experimentally demonstrated. Changing the wavelength of the optical carrier can realize the flexibility of the frequency measurement range and accuracy, showing that during the ranges of 0–10 GHz, 3–15 GHz, and 12–18 GHz, the average measurement errors are 26.9 MHz, 44.57 MHz, and 13.6 MHz, respectively, thanks to the stacked integrated learning models. Moreover, this system is still able to respond to microwave signals of as low as −30 dBm with the frequency measurement error of 62.06 MHz, as that low half-wave voltage for the phase modulator effectively improves the sensitivity of the system. The general-purpose, miniaturized, reconfigurable, instantaneous frequency measurement modules have unlimited potential in areas such as radar detection and early warning reception.
Multipoint Energy-Balanced Laser-Ultrasonic Transducer Based on a Thin-Cladding Fiber
Authors: Zhou Shengnan , Zhou Cheng , Tian Jiajun , Yao Yong
Published: February 2024

This study proposes a novel multipoint transducer system by utilizing the single-mode-multimode-thin-cladding fiber (SMTC) structure. This structure leverages the disparity in mode field diameter between the multimode fiber (MMF) and thin-cladding fiber (TCF) to generate high-amplitude ultrasonic signals safely and efficiently. The fabricated transducer exhibits signal amplitudes 2–3-fold higher compared to conventional laser-ultrasonic transducers. Simulation analysis investigates the impact of the length of the MMF and the diameter of the TCF on coupling efficiency. The coupling efficiency of individual transducer units can be accurately controlled by adjusting the length of the MMF. A three-point energy-balanced laser-ultrasonic transducer system was achieved, with improved energy conversion efficiencies, and the optimal thickness of candle soot nanoparticles (CSNPs) is experimentally determined. Additionally, we carried out experiments to compare the performance of the proposed SMTC-based transducer system under different material conditions using two different photoacoustic materials: graphite–epoxy resin and candle soot nanoparticle–polydimethylsiloxane (CSNP–PDMS) composite. CSNPs, as a cost-effective and easy-to-prepare composite material, exhibit higher photoacoustic conversion efficiency compared to graphite–epoxy resin. The proposed system demonstrates the potential for applications in non-destructive testing techniques.
Mitigating the Impact of Temperature Variations on Ultrasonic Guided Wave-Based Structural Health Monitoring through Variational Autoencoders
Authors: Junges Rafael , Lomazzi Luca , Miele Lorenzo , Giglio Marco , Cadini Francesco
Published: February 2024

Structural health monitoring (SHM) has become paramount for developing cheaper and more reliable maintenance policies. The advantages coming from adopting such process have turned out to be particularly evident when dealing with plated structures. In this context, state-of-the-art methods are based on exciting and acquiring ultrasonic-guided waves through a permanently installed sensor network. A baseline is registered when the structure is healthy, and newly acquired signals are compared to it to detect, localize, and quantify damage. To this purpose, the performance of traditional methods has been overcome by data-driven approaches, which allow processing a larger amount of data without losing diagnostic information. However, to date, no diagnostic method can deal with varying environmental and operational conditions (EOCs). This work aims to present a proof-of-concept that state-of-the-art machine learning methods can be used for reducing the impact of EOCs on the performance of damage diagnosis methods. Generative artificial intelligence was leveraged to mitigate the impact of temperature variations on ultrasonic guided wave-based SHM. Specifically, variational autoencoders and singular value decomposition were combined to learn the influence of temperature on guided waves. After training, the generative part of the algorithm was used to reconstruct signals at new unseen temperatures. Moreover, a refined version of the algorithm called forced variational autoencoder was introduced to further improve the reconstruction capabilities. The accuracy of the proposed framework was demonstrated against real measurements on a composite plate.
Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques
Authors: Di Cesare Michele Giuseppe , Perpetuini David , Cardone Daniela , Merla Arcangelo
Published: February 2024

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms. One of the notable non-motor symptoms of PD is the presence of vocal disorders, attributed to the underlying pathophysiological changes in the neural control of the laryngeal and vocal tract musculature. From this perspective, the integration of machine learning (ML) techniques in the analysis of speech signals has significantly contributed to the detection and diagnosis of PD. Particularly, MEL Frequency Cepstral Coefficients (MFCCs) and Gammatone Frequency Cepstral Coefficients (GTCCs) are both feature extraction techniques commonly used in the field of speech and audio signal processing that could exhibit great potential for vocal disorder identification. This study presents a novel approach to the early detection of PD through ML applied to speech analysis, leveraging both MFCCs and GTCCs. The recordings contained in the Mobile Device Voice Recordings at King’s College London (MDVR-KCL) dataset were used. These recordings were collected from healthy individuals and PD patients while they read a passage and during a spontaneous conversation on the phone. Particularly, the speech data regarding the spontaneous dialogue task were processed through speaker diarization, a technique that partitions an audio stream into homogeneous segments according to speaker identity. The ML applied to MFCCS and GTCCs allowed us to classify PD patients with a test accuracy of 92.3%. This research further demonstrates the potential to employ mobile phones as a non-invasive, cost-effective tool for the early detection of PD, significantly improving patient prognosis and quality of life.
Assisted Robots in Therapies for Children with Autism in Early Childhood
Authors: Gómez-Espinosa Ana , Moreno José Carlos , Pérez-de la Cruz Sagrario
Published: February 2024

Children with autism spectrum disorder (ASD) have deficits that affect their social relationships, communication, and flexibility in reasoning. There are different types of treatment (pharmacological, educational, psychological, and rehabilitative). Currently, one way to address this problem is by using robotic systems to address the abilities that are altered in these children. The aim of this review will be to analyse the effectiveness of the incorporation of the different robotic systems currently existing in the treatment of children up to 10 years of age diagnosed with autism. A systematic review has been carried out in the PubMed, Scopus, Web of Science, and Dialnet databases, with the following descriptors: child, autism, and robot. The search yielded 578 papers, and nine were selected after the application of the PRISMA guideline. The quality of the studies was analysed with the PEDRo scale, and only those with a score between four and six were selected. From this study, the conclusion is that the use of robots, in general, improves children’s behaviour in the short term, but longer-term experiences are necessary to achieve more conclusive results.
Recent Advances in Biosensors for Diagnosis of Autoimmune Diseases
Authors: Teniou Ahlem , Rhouati Amina , Marty Jean-Louis
Published: February 2024

Over the last decade, autoimmune diseases (ADs) have undergone a significant increase because of genetic and/or environmental factors; therefore, their simple and fast diagnosis is of high importance. The conventional diagnostic techniques for ADs require tedious sample preparation, sophisticated instruments, a dedicated laboratory, and qualified personnel. For these reasons, biosensors could represent a useful alternative to these methods. Biosensors are considered to be promising tools that can be used in clinical analysis for an early diagnosis due to their high sensitivity, simplicity, low cost, possible miniaturization (POCT), and potential ability for real-time analysis. In this review, recently developed biosensors for the detection of autoimmune disease biomarkers are discussed. In the first part, we focus on the main AD biomarkers and the current methods of their detection. Then, we discuss the principles and different types of biosensors. Finally, we overview the characteristics of biosensors based on different bioreceptors reported in the literature.
Advancements and Challenges in IoT Simulators: A Comprehensive Review
Authors: Almutairi Reham , Bergami Giacomo , Morgan Graham
Published: February 2024

The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although the idea of interconnected devices predates the term “Internet of Things”, which was coined in 1999 by Kevin Ashton, the vision of a seamlessly integrated world of devices has been accelerated by advancements in wireless technologies, cost-effective computing, and the ubiquity of mobile devices. This study aims to provide an in-depth review of existing and emerging IoT simulators focusing on their capabilities and real-world applications, and discuss the current challenges and future trends in the IoT simulation area. Despite substantial research in the IoT simulation domain, many studies have a narrow focus, leaving a gap in comprehensive reviews that consider broader IoT development metrics, such as device mobility, energy models, Software-Defined Networking (SDN), and scalability. Notably, there is a lack of literature examining IoT simulators’ capabilities in supporting renewable energy sources and their integration with Vehicular Ad-hoc Network (VANET) simulations. Our review seeks to address this gap, evaluating the ability of IoT simulators to simulate complex, large-scale IoT scenarios and meet specific developmental requirements, as well as examining the current challenges and future trends in the field of IoT simulation. Our systematic analysis has identified several significant gaps in the current literature. A primary concern is the lack of a generic simulator capable of effectively simulating various scenarios across different domains within the IoT environment. As a result, a comprehensive and versatile simulator is required to simulate the diverse scenarios occurring in IoT applications. Additionally, there is a notable gap in simulators that address specific security concerns, particularly battery depletion attacks, which are increasingly relevant in IoT systems. Furthermore, there is a need for further investigation and study regarding the integration of IoT simulators with traffic simulation for VANET environments. In addition, it is noteworthy that renewable energy sources are underrepresented in IoT simulations, despite an increasing global emphasis on environmental sustainability. As a result of these identified gaps, it is imperative to develop more advanced and adaptable IoT simulation tools that are designed to meet the multifaceted challenges and opportunities of the IoT domain.
Prediction of Soluble-Solid Content in Citrus Fruit Using Visible–Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm
Authors: Kim Min-Jee , Yu Woo-Hyeong , Song Doo-Jin , Chun Seung-Woo , Kim Moon S. , Lee Ahyeong , Kim Giyoung , Shin Beom-Soo , Mo Changyeun
Published: February 2024

Citrus fruits were sorted based on external qualities, such as size, weight, and color, and internal qualities, such as soluble solid content (SSC), acidity, and firmness. Visible and near-infrared (VNIR) hyperspectral imaging techniques were used as rapid and nondestructive techniques for determining the internal quality of fruits. The applicability of the VNIR hyperspectral imaging technique for predicting the SSC in citrus fruits was evaluated in this study. A VNIR hyperspectral imaging system with a wavelength range of 400–1000 nm and 100 W light source was used to acquire hyperspectral images from citrus fruits in two orientations (i.e., stem and calyx ends). The SSC prediction model was developed using partial least-squares regression (PLSR). Spectrum preprocessing, effective wavelength selection through competitive adaptive reweighted sampling (CARS), and outlier detection were used to improve the model performance. The performance of each model was evaluated using the coefficient of determination (R2) and root mean square error (RMSE). In the present study, the PLSR model was developed using only a citrus cultivar. The SSC prediction CARS-PLSR model with outliers removed exhibited R2 and RMSE values of approximatively 0.75 and 0.56 °Brix, respectively. The results of this study are expected to be useful in similar fields such as agricultural and food post-harvest management, as well as in the development of an online system for determining the SSC of citrus fruits.
Design and Implementation of a Specialised Millimetre-Wave Exposure System for Investigating the Radiation Effects of 5G and Future Technologies
Authors: Foroughimehr Negin , Wood Andrew , McKenzie Ray , Karipidis Ken , Yavari Ali
Published: February 2024

As the fifth-generation (5G) network is introduced in the millimetre-wave (mmWave) spectrum, and the widespread deployment of 5G standalone (SA) is approaching, it becomes essential to establish scientifically grounded exposure limits in the mmWave frequency band. To achieve this, conducting experiments at specific frequencies is crucial for obtaining reliable evidence of potential biological impacts. However, there is a literature gap where experimental research either does not utilise the mmWave high band (e.g., the 26 Gigahertz (GHz) band) or most studies mainly rely on computational approaches. Moreover, some experimental studies do not establish reproducible test environment and exposure systems. Addressing these gaps is vital for a comprehensive exploration of the biological implications associated with mmWave exposure. This study was designed to develop and implement a mmWave exposure system operating at 26 GHz. The step-by-step design and development of the system are explained. This specialised system was designed and implemented within an anechoic chamber to minimise external electromagnetic (EM) interference, creating a controlled and reproducible environment for experiments involving high-frequency EM fields. The exposure system features a 1 cm radiation spot size, enabling highly localised exposure for various biological studies. This configuration facilitates numerous dosimetry studies related to mmWave frequencies.
Experimental Study on the Flexural Properties of Steel-Fibre-Reinforced Concrete Specimens with Different Heights
Authors: Yuan Peilong , Ren Xianda , Xie Yongli
Published: February 2024

Flexural strength is an important mechanical property of steel-fibre-reinforced concrete. By designing three-point bending tests of concrete with five specimen heights, three steel fibre types, and two steel fibre mixing methods, the effects of the specimen height, steel fibre mixing method, and steel fibre type on the peak load, effect of size, section characteristics, strain characteristics, and characteristics of the load–displacement curve of concrete specimens were studied. The results show that the peak load of the control group is basically linear with the height of the specimen. After adding three kinds of steel fibres, the peak load of the specimen is greater than that of the control group in the same case. The peak load of the specimen increases by adding three kinds of steel fibres, and the increase is closely related to the height of the specimen. The residual stage of the load–displacement curve of the milling steel fibre and the end hook steel fibre are relatively flat, while the residual stage of the load–displacement curve of the shear steel fibre is relatively large, and the residual load is also greater than the residual load of the shear steel fibre. The specimens in the control group show brittle failure characteristics. As the height of the specimens increases, the failed section of the specimens is smoother. The development of cracks in the steel fibre specimens is more tortuous than that of the control group, showing ductile failure characteristics. Some tensile failure zones are still present where the fibres are densely distributed, and the failure characteristics of the specimens are further explained and proven by the strain characteristics.
A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics
Authors: Wang Zhu , Hao Shenglei , Yuan Leqi , Hao Ke
Published: February 2024

Driven by the growing threat of natural disasters caused by climate change, there is an urgent need to strengthen the emergency rescue logistics network. However, insufficient research has been conducted on optimizing both pre-disaster preparation and post-disaster response, resulting in lower resilience and inefficiency of emergency logistics management. To this end, this study explores the optimization of emergency rescue resource allocation and transportation network design, considering the uncertainty and multi-period nature of natural disaster rescue. By employing a lateral transshipment strategy, a three-stage stochastic programming model is established, which aims to balance economic benefits with the need for devastations, thereby enhancing the resilience of the logistics network. Numerical experiments verify the effectiveness of the proposed model with different instances and the performance of the lateral transshipment strategy by comparing it with a two-stage stochastic programming model. Sensitivity analysis is performed on the costs of constructing a depot and the penalties for unmet needs. The analysis yielded valuable insights that can be used to enhance emergency rescue operations, supply chain network design, and logistics network design. The research outcome can benefit emergency responders and logistics professionals in optimizing their operations.
Exposure to Plasticiser DEHP Affects Eggs Spawned by Blue Mussels: A Possible Risk to Fertilisation?
Authors: Mincarelli Luana Fiorella , Turner Alexander , Anderson George , Wollenberg Valero Katharina
Published: February 2024

The endocrine disruptive chemical DEHP is a plasticiser often found in marine waters. Here, we assessed the effect of this additive on the number and size of eggs spawned by female mussels during a synchronised spawning event. After achieving the ripeness of the gonads, mussels of both sexes were exposed to two environmentally relevant concentrations of DEHP (nominal concentrations 0.5 and 50 µg/L) for one week. A spawning event was then induced and eggs were collected, counted, and their size measured (area and diameter). A slight but not significant effect was observed in lowering the number of eggs spawned when increasing the DEHP concentration. This effect was greater when adding spent gonads (possibly fully spawned females) to the total number of females. A significant effect of the lower dose on the average egg sizes was noticed, with a smaller area and diameter measured with respect to the control and the higher concentrated treatments. These results once again underline the importance for ecotoxicological studies to address the nonlinear dose-response effects of endocrine disruptive chemicals environmentally present at concentrations in the order of just a few µg/L that could not elicit a strong defence mechanism at low levels and be absorbed by filter feeder animals such as mussels.
Research on the Application and Mechanisms of Electroactive Microorganisms in Toxicants Monitoring: A Review
Authors: Xing Fei , Duan Liang , Zhang Haiya , Zhang Hengliang , Li Shilong
Published: February 2024

A biological treatment is the core process for removing organic pollutants from industrial wastewater. However, industrial wastewater often contains large amounts of toxic and harmful pollutants, which can inhibit the activity of microorganisms in a treatment system, precipitate the deterioration of effluent quality, and threaten water ecological security from time to time. In most of the existing anaerobic biological treatment processes, toxic effects on microorganisms are determined according to the amounts of end-products of the biochemical reactions, and the evaluation results are relatively lacking. When microorganisms contact toxic substances, changes in biological metabolic activity precede the accumulation of reaction products. As sensitive units, electroactive microorganisms can generate electrical signals, a change in which can directly reflect the toxicity level. The applications of electroactive microorganisms for the toxicity monitoring of wastewater are very promising. Further attention needs to be paid to considering the appropriate evaluation index, the influence of the environment on test results, mechanisms, and other aspects. Therefore, we reviewed the literature regarding the above aspects in order to provide a research foundation for the practical application of electroactive microorganisms in toxicant monitoring.
Ecotoxicological Characterization of Lithium as a “Timebomb” in Aquatic Systems: Tadpoles of the South American Toad Rhinella arenarum (Hensel, 1867) as Model Organisms
Authors: Peltzer Paola M. , Cuzziol Boccioni Ana P. , Attademo Andrés M. , Simoniello María F. , Lener Germán , Lajmanovich Rafael C.
Published: February 2024

The aim of this study was to evaluate the acute lethality and chronic sublethal effects of lithium (Li) on Rhinella arenarum tadpoles as model organisms. First a 96 h toxicity assay was performed by exposing tadpoles to Li concentrations from 44.08 to 412.5 mg L−1 to estimate the mortality, and lethal and sublethal effects. Another bioassay was carried out by exposing tadpoles to two environmentally relevant Li concentrations (2.5 and 20 mg L−1) for one and two weeks. The sublethal effects of Li on tadpoles were evaluated by analyzing biochemical, genotoxic, and physiological biomarkers. The mortality in Li-exposed tadpoles increased over time. The median lethal concentration (LC50) ranged from 319.52 (281.21–363.05) mg L−1 at 48 h to 66.92 (52.76–84.89) mg L−1 at 96 h. Exposure to Li at 2.5 and 20 mg L−1 induced alterations in enzymes related to detoxification, antioxidant, and hepatic mechanisms, endocrine disruption of thyroid hormones, genotoxicity, and effects on the physiology of the heart and gastrointestinal systems. Tadpoles exposed to the highest concentration in the chronic bioassay (20 mg L−1 Li), which is the concentration commonly recorded in Li mining sites, showed significant mortality after one week of exposure. These results warn about the high ecotoxicological risk of Li as a contaminant of emerging concern for amphibians.
Evaluación físico, químico y microbiológico del suelo en cultivos de Musa paradisiaca Cavendish y Elaeis guineensis Jac. Provincia de los Ríos
Authors: Soto-Valenzuela Javier Oswaldo , Álvarez-Vera Manuel Salvador , Vázquez Vásquez Jacinto Enrique , Ricardo Ricardo Génesis Brigitte
Published: February 2024

El análisis físico, químico y microbiológico permite al productor determinar la condición del suelo, disponibilidad de nutrientes y estimar una planificación de fertilización remediando condiciones y mejorar el rendimiento del suelo para obtener una mejor producción. La investigación se realizó con el objetivo de evaluar y comparar el estado físico, químico y microbiológico del suelo en Banano (Musa paradisiaca Cavendish) y Palma Africana (Elaeis guineensis Jac) Damasson 007, Provincia de los Ríos-Quevedo, Ecuador. Mediante un análisis físico químico realizado en AGROBIOLAB como servicio, y en el CEB, Universidad Estatal Península de Santa Elena para el análisis microbiológico, los parámetros considerados fueron P, S, K, Ca y Mg, clase textural, pH, materia orgánica y UFC/g suelo seco de bacterias y hongos en 3 lotes diferentes por cultivo. Se recolectaron las muestras en la hacienda Ruth, localizada en el cantón Valencia-Los Ríos, para su valoración se utilizó el método de diluciones con tres repeticiones por microorganismos expresadas en UFC/g suelo seco. Los resultados obtenidos determinaron que el suelo del cultivo de banano y palma africana poseen propiedades similares en cuanto al pH (LAc), textura (Fco, Fco – Arc – Li) y nivel de P, mientras que, el cultivo de palma africana posee mayor cantidad de materia orgánica y S. El cultivo de banano presentó niveles de P, K, Ca y Mg más altos que el cultivo de palma africana. Por otro lado, en la relación de UFC/g suelo seco se comprobó que el cultivo de banano posee mayores valores que el cultivo de palma africana.
Situación actual y gestión de los recursos hídricos en la región de Lima en Perú
Authors: Gutiérrez Dueñas Abner Hugo , Baltazar López Alfredo Alexander
Published: February 2024

La gestión del saneamiento del recurso hídrico es de gran importancia en la actualidad debido a la transformación climática y la escasez mundial de agua. Se plantean nuevas perspectivas en el consumo de agua potable. Objetivo. Analizar el desarrollo de una propuesta comunitaria de gestión hídrica ciudadana en la región Lima, mostrando la situación actual y los procesos de mejora del servicio de agua con el objetivo de promover una propuesta común sobre la gestión hídrica en el distrito de Lurigancho-Chosica. Metodología. Se trata de una investigación básica con enfoque cualitativo que analiza fuentes documentales sobre el concepto social del agua y la gestión de los recursos hídricos en la región Lima. Se sustentó mediante entrevistas semiestructuradas que permitieron conocer las percepciones de las autoridades, dirigentes y pobladores de la zona. Hallazgos. la gestión hídrica en la región Lima debe considerar las necesidades urgentes de los actores clave, lo que permitirá la implementación de una gestión óptima y adecuada, a la vez que promoverá nuevas alternativas para los recursos hídricos, como la instalación de plantas compactas de tratamiento para el consumo de agua potable. A manera de cierre. Se pudo identificar la importancia de una gestión hídrica ciudadana en la región Lima, basada en un diagnóstico actualizado de los recursos hídricos. Se proponen acciones concretas, como la capacitación, la promoción de la gestión y la prevención de enfermedades, además del uso de plantas Compactas.
As estratégias de indeterminação do sujeito na construção de artigos de opinião no Ensino Fundamental: da norma gramatical à variação linguística
Authors: Da Silva de Souza Daniela
Published: February 2024

O artigo apresenta uma pesquisa de cunho variacionista com o objetivo de verificar quais estratégias de indeterminação são utilizadas por estudantes concluintes do Ensino Fundamental na redação de artigos de opinião.  A pesquisa fundamenta-se nos postulados teóricos de Duarte (2007), Bravin (2012) e Perini (2010) que consideram a existência de mais estratégias de indeterminação além das duas que a Gramática Tradicional define. Os resultados obtidos mostram que os estudantes fazem uso de um variado número de estratégias de indeterminação, além das referendadas pela tradição gramatical, que, por outro lado, foram pouco utilizadas. Ademais, também apontam para a necessidade de a escola repensar o modo como vem trabalhando o tema caso deseje realizar um trabalho pedagógico produtivo e reflexivo em consonância com os documentos oficiais que regulam o ensino de Língua Portuguesa.
Jornalismo e internet: evolução e perspectivas dos processos de circulação de notícias
Authors: Colombo Macri Elaine , Varela Ulysses do Nascimento , Sabino Biazotti Vinicius José
Published: February 2024

Este artigo aborda sobre a influência e o papel da internet para a circulação e o consumo de notícias nos dias de hoje. Discute um fenômeno comum na era digital atual que envolve o número crescente de leitores e/ou consumidores que buscam informações exclusivamente por meios digitais: sites e redes sociais como Twitter, Whatsapp e Facebook. Um fenômeno que ocorre devido a uma série de transformações tecnológicas que impactam o ecossistema comunicacional (PEREIRA, 2011) e reconfiguram a ecologia midiática (MCLUHAN, 1964; MENEZES, 2016). Metodologicamente, enquanto um artigo teórico, usou-se a pesquisa bibliográfica a partir da revisão de literatura especializada e do tensionamento de conceitos como convergência e midiatização de notícias envolvendo a ecologia dos meios de comunicação de massa. Os resultados destas reflexões enfatizam as constantes modificações no fazer jornalístico, ainda em transformação, e como estas mudanças na dinâmica de produção e distribuição de notícias interferem nos novos cenários das organizações e no fluxo do jornalismo contemporâneo. Esperamos, assim, ter contribuído para futuros debates e pesquisas científicas sobre esta temática tão relevante para a sociedade.
Anjo
Authors: Barros José D'Assunção
Published: February 2024

O poema harmoniza as três diferentes ordens ou dimensões que envolvem as palavras: as sonoridades, os sentidos e as formas visuais produzidas pela escrita. Externamente, o contorno proporcionado pelos versos assume a forma estilizada de um anjo; mas a cabeça deste é também uma taça, e seu coração é um sol. Estes três elementos visuais dialogam com o conteúdo de sentidos trazidos peço poema, ao falar de um homem que ao beber sua taça de vinho em um bar transforma-se em um anjo à medida que se embriaga no decorrer da noite. Quando o sol ressurge e o bar se fecha, no entanto, o anjo retorna para casa e adormece - para finalmente constatar que as asas transformaram-se em uma ressaca e o reconverteram em um homem comum. Além dos jogos visuais e de sentidos, o autor lida com a sonoridade das palavras, desenvolvendo padrões de repetição nos finais dos versos - entre as segunda e terceira estrofes - e também rimas internas. A forma externa combina-se ao enredo poético, que vai da expansão (a transformação em anjo) à contração (o retorno ao humano).
Povos originários nos museus: educação, memória e resistentência: entrevista com a Profa Dra Luciane Monteiro (MAEA-UFJF)
Authors: Varela Singulane Dalila , Saporetti Carolina
Published: February 2024

Entrevista com a Professora Dra Luciane Monteiro, diretora do Museu de Arqueologia e Etnologia Americana (MAEA-UFJF).
“Afamada, conhecida e respeitada por todos”:
Authors: Sousa Moraes Meneses Lívia Suelen
Published: February 2024

No Piauí, a interferência médica mais efetiva na gestão da maternidade emerge ao longo da primeira metade do século XX, articulada à emergência de políticas e instituições voltadas à saúde materno-infantil. Contudo, sua interferência foi limitada. A resistência feminina ao saber médico e aos serviços de saúde materno-infantil se manifestam na permanência de práticas tradicionais de cura, de parto e de cuidados infantis, espaços tradicionalmente femininos. Neste trabalho procuramos destacar as práticas tradicionais femininas, com ênfase na ação das mulheres no âmbito curativo, no parto e as sociabilidades que o envolviam, bem como a ação das parteiras, em contrapartida à criação de políticas públicas e instituições de saúde materno-infantil, entre 1910 e 1950. As fontes documentais utilizadas são romances, contos, jornais, biografias, memórias e depoimentos de mulheres nascidas nas décadas de 1920 e 1930.
“Avante filhos da fé! Como a nossa lei não há”
Authors: De Souza Silva Nathaly
Published: February 2024

Este artigo, parte de uma pesquisa desenvolvida na dissertação de mestrado, propõe-se a evidenciar a importância de ouvir e reforçar as memórias dos terreiros afro-religiosos de Umbanda a partir de suas histórias e resistências dentro da cidade de Muriaé, Minas Gerais, tendo em vista tais manifestações religiosas como um dos pilares que envolvem as resistências afro-diaspóricas no Brasil, vítimas do racismo religioso.
A trajetória de “Maria Cabeça”
Authors: Reisdorfer Douglas
Published: February 2024

Este trabalho debruça-se sobre a trajetória da escravizada Maria Cabeça, que nasceu em Santo Antônio da Patrulha e, depois, envolveu-se em diversos crimes na Cidade de Rio Grande. Parte-se de sua história para abordar algumas questões que atravessaram a vida dela e as vidas de muitos escravizados, como as violências da escravidão, o gênero e a crescente introdução da Justiça nas relações sociais da escravidão na segunda metade do século XIX. Para fazê-lo, utilizam-se cinco processos-crime, nos quais Maria foi ré e testemunha, bem como registros de batismo.
Taxonomias para os argumentos e contra-argumentos no debate sobre o princípio de identidade dos indiscerníveis
Authors: Videira Leonardo G. S.
Published: February 2024

Este artigo visa apresentar uma taxonomia original dos argumentos mais difundidos contra o Princípio de Identidade dos Indiscerníveis ao longo da história da Filosofia, mas focando em versões defendidas no século XX e XXI; bem como uma taxonomia das respostas mais efetivas para esses argumentos usados no início do século XXI com uma breve avaliação sobre quais são as mais efetivas para cada argumento de ataque. O leitor também encontrará uma bibliografia atualizada sobre os debates envolvendo esses argumentos e contra-argumentos nas seções correspondentes.
Palavras-chave: identidade; indiscernibilidade; Princípio de Identidade dos Indiscerníveis; concebilidade
Caixa Matemática Problematizadora em encontros formativos e dialógicos com professoras-formadoras-pesquisadoras: o que refletem as narrativas e os diários experienciais
Authors: Oliveira Sandra Alves de , Silva Jane Maria Braga , Tomé Neila Maria de Almeida
Published: February 2024

Este artigo tem como objetivo analisar as contribuições dos momentos dialógicos nas tessituras da Caixa Matemática Problematizadora, para os processos de ensino-aprendizagem da matemática nos encontros formativos e dialógicos com professoras-formadoras-pesquisadoras. Para a produção dos dados no contexto da pesquisa-formação foram utilizados as narrativas orais e os diários experienciais registrados e compartilhados pelas partícipes da oficina pedagógica “Caixa Matemática Problematizadora nos processos de ensino-aprendizagem: brinque, jogue, crie e problematize as ações pedagógicas!”, realizada no âmbito do projeto de extensão e pesquisa “O desenvolvimento profissional do professor que ensina matemática nos anos iniciais: narrativas de formação e grupo de estudos” e do curso de Especialização em Ensino de Ciências e Matemática nos Anos Iniciais, no segundo semestre de 2021. A Caixa Matemática Problematizadora como recurso didático-pedagógico-brincante, (re)inventado criativamente pelas autoras deste texto, com a proposição da vivência de quatro momentos dialógicos - Estabelecimento de contato; Escolha e compartilhamento de significados do recurso didático-pedagógico-brincante; Vivência dinamizadora; Registros dialógico-problematizadores -, proporciona ensinar-aprender matemática brincando, jogando, dinamizando, criando e problematizando. O grupo participante da oficina pedagógica demonstrou encantamento e muita alegria ao experienciar os momentos dialógicos criados para dinamizar a Caixa Matemática Problematizadora nos encontros formativos e dialógicos e nos processos de ensino-aprendizagem da matemática na educação básica e superior. Com efeito, nas narrativas e nos diários experienciais produzidos, as estudantes e as professoras apontam as contribuições desse recurso didático-pedagógico-brincante para a formação e a prática docente: problematizar as ações pedagógicas; repensar o ensino de matemática e refletir sobre a prática pedagógica; ensinar-aprender com prazer e entusiasmo os conteúdos matemáticos, dentre outras. Destarte, práticas formativas que privilegiam a aproximação com a matemática permitem sua (re)invenção criativa diária a partir do entendimento de que ela é construção humana e requer práticas inclusivas, nas quais todos podem aprender nas interações dialógicas com o outro.
A criação de novo batalhão de Polícia Militar subordinado ao 1º comando regional de polícia militar do Estado do Paraná
Authors: Fernandes Manoel Mendes
Published: February 2024

O tema do presente artigo científico é sobre a criação de novo batalhão de polícia militar, subordinado ao 1º Comando Regional de Polícia Militar, da Polícia Militar do Estado do Paraná, com o fito de executar com os demais batalhões o policiamento ostensivo geral na capital do Estado do Paraná. O tema defronta com a problemática do aumento da demanda de incumbência do 20º Batalhão de Polícia Militar, este responsável pela segurança da região leste de Curitiba, sendo esta área de grande extensão o que dificulta a manutenção da ordem pública. A categoria do artigo científico é a discussão teórica sobre a possibilidade jurídica e estratégica da criação e implantação de novo batalhão na capital paranaense e a consequente reestruturação do 1º CRPM. O artigo científico tem como escopo geral demonstrar a pertinência jurídica e estratégica da criação de novo batalhão na área de responsabilidade do 1º CRPM. O artigo científico apresenta como objetivos específicos demonstrar alguns aspectos históricos do 20ºBPM, especificar a estrutura do 1º CRPM e do 20º BPM, analisar a dimensão territorial, densidade demográfica, principais ocorrências e peculiaridades do 20º BPM na atuação do policiamento ostensivo geral. O artigo científico utiliza a metodologia dedutiva e a forma técnica da revisão teórica. Por derradeiro, o artigo científico conclui pela possibilidade jurídica e estratégica da criação de novo batalhão subordinado ao 1º CRPM, com o fito de atender todas as demandas, de maneira eficiente e eficaz, proporcionando a manutenção da ordem pública e paz social na capital paranaense.
SISTEM PEMASARAN NENAS BOGOR (Ananas comosus) DI KABUPATEN BOGOR
Authors: Surahman Taufiq , Kusnadi Nunung
Published: February 2024

Nenas Bogor (Ananas comosus) merupakan salah satu komoditas hortikultira yang dijadikan sebagai komoditas unggulan di Kabupaten Bogor. Terdapat perbedaan yang cukup besar pada harga yang ditawarkan di tingkat petani dengan harga yang ditawarkan di tingkat konsumen. Tujuan penelitian ini adalah untuk mengidentifikasi sistem pemasaran dan efisiensi sistem pemasaran nenas bogor yang terbentuk. Penelitian dilakukan pada bulan Maret hingga Mei 2015. Penentuan responden petani dipilih secara purposive sampling sebanyak 30 orang dan responden lembaga pemasaran menggunakan metode snowball sampling. Data dianalisis dengan menggunakan saluran pemasaran, margin pemasaran, farmer’s share, dan rasio keuntungan atas biaya pemasaran. Hasil penelitian menunjukkan bahwa terdapat delapan saluran pemasaran nenas bogor yang terbentuk. Secara umum, sistem pemasaran nenas bogor yang terbentuk belum efisien. Saluran yang paling banyak digunakan oleh petani adalah saluran V (petani-pedagang pengumpul desa-pengecer-konsumen akhir) yang memiliki nilai farmer’s share serta harga di tingkat petani yang rendah. Diharapkan petani dapat menggerakkan kembali fungsi kelompok tani atau membentuk suatu wadah seperti koperasi agar dapat memasarkan nenas secara bersama-sama sehingga nantinya akan meningkatkan kekuatan tawar bagi petani nenas bogor sehingga petani dapat memperoleh harga yang relatif lebih tinggi.