bluuebunny/crossref_metadata_2025 huggingface dataset:
A Remote Monitoring System for Rodent Infestation Based on LoRaWAN
Authors: Lai Shin-Chi , Wang Szu-Ting , Liu Kuan-Lin , Wu Chang-Yu
Published: April 2023

Rodent infestations are a common problem that can result in several issues, including diseases, damage to property, and crop loss. Conventional methods of controlling rodent infestations often involve using mousetraps and applying rodenticides manually, leading to high manpower expenses and environmental pollution. To address this issue, we introduce a system for remotely monitoring rodent infestations using Internet of Things (IoT) nodes equipped with Long Range (LoRa) modules. The sensing nodes wirelessly transmit data related to rodent activity to a cloud server, enabling the server to provide real-time information. Additionally, this approach involves using images to auxiliary detect rodent activity in various buildings. By capturing images of rodents and analyzing their behavior, we can gain insight into their movement patterns and activity levels. By visualizing the recorded information from multiple nodes, rodent control personnel can analyze and address infestations more efficiently. Through the digital and quantitative sensing technology proposed at this stage, it can serve as a new objective indicator before and after the implementation of medication or other prevention and control methods. The hardware cost for the proposed system is approximately USD 43 for one sensor module and USD 17 for one data collection gateway (DCG). We also evaluated the power consumption of the sensor module and found that the 3.7 V 18,650 Li-ion batteries in series can provide a battery life of two weeks. The proposed system can be combined with rodent control strategies and applied in real-world scenarios such as restaurants and factories to evaluate its performance.
Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion
Authors: Ahmed Muhammad Hannan , Chai Jiazheng , Shimoda Shingo , Hayashibe Mitsuhiro
Published: April 2023

Transhumeral amputees experience considerable difficulties with controlling a multifunctional prosthesis (powered hand, wrist, and elbow) due to the lack of available muscles to provide electromyographic (EMG) signals. The residual limb motion strategy has become a popular alternative for transhumeral prosthesis control. It provides an intuitive way to estimate the motion of the prosthesis based on the residual shoulder motion, especially for target reaching tasks. Conventionally, a predictive model, typically an artificial neural network (ANN), is directly trained and relied upon to map the shoulder–elbow kinematics using the data from able-bodied subjects without extracting any prior synergistic information. However, it is essential to explicitly identify effective synergies and make them transferable across amputee users for higher accuracy and robustness. To overcome this limitation of the conventional ANN learning approach, this study explicitly combines the kinematic synergies with a recurrent neural network (RNN) to propose a synergy-space neural network for estimating forearm motions (i.e., elbow joint flexion–extension and pronation–supination angles) based on residual shoulder motions. We tested 36 training strategies for each of the 14 subjects, comparing the proposed synergy-space and conventional neural network learning approaches, and we statistically evaluated the results using Pearson’s correlation method and the analysis of variance (ANOVA) test. The offline cross-subject analysis indicates that the synergy-space neural network exhibits superior robustness to inter-individual variability, demonstrating the potential of this approach as a transferable and generalized control strategy for transhumeral prosthesis control.
Home-Based Measurements of Nocturnal Cardiac Parasympathetic Activity in Athletes during Return to Sport after Sport-Related Concussion
Authors: Delling Anne Carina , Jakobsmeyer Rasmus , Coenen Jessica , Christiansen Nele , Reinsberger Claus
Published: April 2023

Sport-related concussions (SRC) are characterized by impaired autonomic control. Heart rate variability (HRV) offers easily obtainable diagnostic approaches to SRC-associated dysautonomia, but studies investigating HRV during sleep, a crucial time for post-traumatic cerebral regeneration, are relatively sparse. The aim of this study was to assess nocturnal HRV in athletes during their return to sports (RTS) after SRC in their home environment using wireless wrist sensors (E4, Empatica, Milan, Italy) and to explore possible relations with clinical concussion-associated sleep symptoms. Eighteen SRC athletes wore a wrist sensor obtaining photoplethysmographic data at night during RTS as well as one night after full clinical recovery post RTS (>3 weeks). Nocturnal heart rate and parasympathetic activity of HRV (RMSSD) were calculated and compared using the Mann–Whitney U Test to values of eighteen; matched by sex, age, sport, and expertise, control athletes underwent the identical protocol. During RTS, nocturnal RMSSD of SRC athletes (Mdn = 77.74 ms) showed a trend compared to controls (Mdn = 95.68 ms, p = 0.021, r = −0.382, p adjusted using false discovery rate = 0.126) and positively correlated to “drowsiness” (r = 0.523, p = 0.023, p adjusted = 0.046). Post RTS, no differences in RMSSD between groups were detected. The presented findings in nocturnal cardiac parasympathetic activity during nights of RTS in SRC athletes might be a result of concussion, although its relation to recovery still needs to be elucidated. Utilization of wireless sensors and wearable technologies in home-based settings offer a possibility to obtain helpful objective data in the management of SRC.
Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
Authors: Zhao Zequan , Lu Yin , Mi Yajun , Zhu Qiliang , Meng Jiajing , Wang Xueqing , Cao Xia , Wang Ning
Published: April 2023

Triboelectric nanogenerators (TENGs) have garnered considerable interest as a promising technology for energy harvesting and stimulus sensing. While TENGs facilitate the generation of electricity from micro-motions, the modular design of TENG-based modular sensing systems (TMSs) also offers significant potential for powering biosensors and other medical devices, thus reducing dependence on external power sources and enabling biological processes to be monitored in real time. Moreover, TENGs can be customised and personalized to address individual patient needs while ensuring biocompatibility and safety, ultimately enhancing the efficiency and security of diagnosis and treatment. In this review, we concentrate on recent advancements in the modular design of TMSs for clinical applications with an emphasis on their potential for personalised real-time diagnosis. We also examine the design and fabrication of TMSs, their sensitivity and specificity, and their capabilities of detecting biomarkers for disease diagnosis and monitoring. Furthermore, we investigate the application of TENGs to energy harvesting and real-time monitoring in wearable and implantable medical devices, underscore the promising prospects of personalised and modular TMSs in advancing real-time diagnosis for clinical applications, and offer insights into the future direction of this burgeoning field.
A Portable Triboelectric Nanogenerator Based on Dehydrated Nopal Powder for Powering Electronic Devices
Authors: Elvira-Hernández Ernesto A. , Nava-Galindo Omar I. , Martínez-Lara Elisa K. , Delgado-Alvarado Enrique , López-Huerta Francisco , De León Arxel , Gallardo-Vega Carlos , Herrera-May Agustín L.
Published: April 2023

Triboelectric nanogenerators (TENGs) based on organic materials can harvest green energy to convert it into electrical energy. These nanogenerators could be used for Internet-of-Things (IoT) devices, substituting solid-state chemical batteries that have toxic materials and limited-service time. Herein, we develop a portable triboelectric nanogenerator based on dehydrated nopal powder (NOP-TENG) as novel triboelectric material. In addition, this nanogenerator uses a polyimide film tape adhered to two copper-coated Bakelite plates. The NOP-TENG generates a power density of 2309.98 μW·m−2 with a load resistance of 76.89 MΩ by applying a hand force on its outer surface. Furthermore, the nanogenerator shows a power density of 556.72 μW·m−2 with a load resistance of 76.89 MΩ and under 4g acceleration at 15 Hz. The output voltage of the NOP-TENG depicts a stable output performance even after 27,000 operation cycles. This nanogenerator can light eighteen green commercial LEDs and power a digital calculator. The proposed NOP-TENG has a simple structure, easy manufacturing process, stable electric behavior, and cost-effective output performance. This portable nanogenerator may power electronic devices using different vibration energy sources.
UV Sensor Based on Surface Acoustic Waves in ZnO/Fused Silica
Authors: Caliendo Cinzia , Benetti Massimiliano , Cannatà Domenico , Buzzin Alessio , Grossi Francesca , Verona Enrico , de Cesare Giampiero
Published: April 2023

Zinc oxide (ZnO) thin films have been grown by radio frequency sputtering technique on fused silica substrates. Optical and morphological characteristics of as-grown ZnO samples were measured by various techniques; an X-ray diffraction spectrum showed that the films exhibited hexagonal wurtzite structure and were c-axis-oriented normal to the substrate surface. Scanning electron microscopy images showed the dense columnar structure of the ZnO layers, and light absorption measurements allowed us to estimate the penetration depth of the optical radiation in the 200 to 480 nm wavelength range and the ZnO band-gap. ZnO layers were used as a basic material for surface acoustic wave (SAW) delay lines consisting of two Al interdigitated transducers (IDTs) photolithographically implemented on the surface of the piezoelectric layer. The Rayleigh wave propagation characteristics were tested in darkness and under incident UV light illumination from the top surface of the ZnO layer and from the fused silica/ZnO interface. The sensor response, i.e., the wave velocity shift due to the acoustoelectric interaction between the photogenerated charge carriers and the electric potential associated with the acoustic wave, was measured for different UV power densities. The reversibility and repeatability of the sensor responses were assessed. The time response of the UV sensor showed a rise time and a recovery time of about 10 and 13 s, respectively, and a sensitivity of about 318 and 341 ppm/(mW/cm2) for top and bottom illumination, respectively. The ZnO/fused silica-based SAW UV sensors can be interrogated across the fused silica substrate thanks to its optical transparency in the UV range. The backlighting interrogation can find applications in harsh environments, as it prevents the sensing photoconductive layer from aggressive environmental effects or from any damage caused by cleaning the surface from dust which could deteriorate the sensor’s performance. Moreover, since the SAW sensors, by their operating principle, are suitable for wireless reading via radio signals, the ZnO/fused-silica-based sensors have the potential to be the first choice for UV sensing in harsh environments.
Progressively Hybrid Transformer for Multi-Modal Vehicle Re-Identification
Authors: Pan Wenjie , Huang Linhan , Liang Jianbao , Hong Lan , Zhu Jianqing
Published: April 2023

Multi-modal (i.e., visible, near-infrared, and thermal-infrared) vehicle re-identification has good potential to search vehicles of interest in low illumination. However, due to the fact that different modalities have varying imaging characteristics, a proper multi-modal complementary information fusion is crucial to multi-modal vehicle re-identification. For that, this paper proposes a progressively hybrid transformer (PHT). The PHT method consists of two aspects: random hybrid augmentation (RHA) and a feature hybrid mechanism (FHM). Regarding RHA, an image random cropper and a local region hybrider are designed. The image random cropper simultaneously crops multi-modal images of random positions, random numbers, random sizes, and random aspect ratios to generate local regions. The local region hybrider fuses the cropped regions to let regions of each modal bring local structural characteristics of all modalities, mitigating modal differences at the beginning of feature learning. Regarding the FHM, a modal-specific controller and a modal information embedding are designed to effectively fuse multi-modal information at the feature level. Experimental results show the proposed method wins the state-of-the-art method by a larger 2.7% mAP on RGBNT100 and a larger 6.6% mAP on RGBN300, demonstrating that the proposed method can learn multi-modal complementary information effectively.
The Gamma and Neutron Sensor System for Rapid Dose Rate Mapping in the CLEANDEM Project
Authors: Rossi Fabio , Cosentino Luigi , Longhitano Fabio , Minutoli Saverio , Musico Paolo , Osipenko Mikhail , Poma Gaetano Elio , Ripani Marco , Finocchiaro Paolo
Published: April 2023

The decommissioning of nuclear installations, as well as the possible necessary accident remediations, requires the physical presence of human operators in potentially radiologically hostile environments. The number of active nuclear reactors worldwide is greater than 400, and most of them are 40 to 50 years old, thus implying that soon they will have to be dismantled. In the framework of the H2020 CLEANDEM project, a small robotic vehicle is being developed that is equipped with a series of different sensors for areas that are significantly contaminated by radiation. In this work, we describe the MiniRadMeter system, a compact low-cost sensor capable of being used to perform quick gamma and neutron radiation field mapping of environments prior to the possible start of human operations. The miniature gamma sensor is a 1 cm3 scintillator counter with moderate spectroscopic features read out by means of a 6 × 6 mm2 SiPM, whereas neutrons are detected by means of a silicon diode coupled to a layer of 6LiF and placed inside a 6 × 6 × 6 cm3 polyethylene box. The front-end and data acquisition electronics were developed based on a Raspberry Pi4 microcomputer. In this paper, the system performance and the preliminary test results are described.
Design, Fabrication, and Optimization of a Printed Ag Nanoparticle-Based Flexible Capacitive Sensor for Automotive IVI Bezel Display Applications
Authors: Palanisamy Srinivasan , Thangaraj Muthuramalingam , Moiduddin Khaja , Alkhalefah Hisham , Karmiris-Obratański Panagiotis , Chin Cheng Siong
Published: April 2023

Since printed capacitive sensors provide better sensing performance, they can be used in automotive bezel applications. It is necessary to fabricate such sensors and apply an optimization approach for choosing the optimal sensor pattern. In the present work, an effort was made to formulate interdigitated pattern-printed Silver (Ag) electrode flexible sensors and adopt the Taguchi Grey Relational (TGR)-based optimization approach to enhance the flexible sensor’s panel for enhanced automobile infotainment applications. The optimization technique was performed to derive better design considerations and analyze the influence of the sensor’s parameters on change in capacitance when touched and production cost. The fabricated flexible printed sensors can provide better sensing properties. A design pattern which integrates an overlap of 15 mm, an electrode line width of 0.8 mm, and an electrode gap 0.8 mm can produce a higher change in capacitance and achieve a lower weight. The overlap has a greater influence on sensor performance owing to its optimization of spatial interpolation.
Computer Vision and Machine Learning for Intelligent Sensing Systems
Authors: Tian Jing
Published: April 2023

Intelligent sensing systems have been fueled to make sense of visual sensory data to handle complex and difficult real-world sense-making challenges due to the rapid growth of computer vision and machine learning technologies [...]
MMST: A Multi-Modal Ground-Based Cloud Image Classification Method
Authors: Wei Liang , Zhu Tingting , Guo Yiren , Ni Chao
Published: April 2023

In recent years, convolutional neural networks have been in the leading position for ground-based cloud image classification tasks. However, this approach introduces too much inductive bias, fails to perform global modeling, and gradually tends to saturate the performance effect of convolutional neural network models as the amount of data increases. In this paper, we propose a novel method for ground-based cloud image recognition based on the multi-modal Swin Transformer (MMST), which discards the idea of using convolution to extract visual features and mainly consists of an attention mechanism module and linear layers. The Swin Transformer, the visual backbone network of MMST, enables the model to achieve better performance in downstream tasks through pre-trained weights obtained from the large-scale dataset ImageNet and can significantly shorten the transfer learning time. At the same time, the multi-modal information fusion network uses multiple linear layers and a residual structure to thoroughly learn multi-modal features, further improving the model’s performance. MMST is evaluated on the multi-modal ground-based cloud public data set MGCD. Compared with the state-of-art methods, the classification accuracy rate reaches 91.30%, which verifies its validity in ground-based cloud image classification and proves that in ground-based cloud image recognition, models based on the Transformer architecture can also achieve better results.
Widening Blockchain Technology toward Access Control for Service Provisioning in Cellular Networks
Authors: Ghaffari Fariba , Aryal Nischal , Bertin Emmanuel , Crespi Noel , Garcia-Alfaro Joaquin
Published: April 2023

The attention on blockchain technology (BCT) to create new forms of relational reliance has seen an explosion of new applications and initiatives, to assure decentralized security and trust. Its potential as a game-changing technology relates to how data gets distributed and replicated over several organizations and countries. This paper provides an introduction to BCT, as well as a review of its technological aspects. A concrete application of outsource access control and pricing procedures in cellular networks, based on a decentralized access control-as-a-service solution for private cellular networks, is also presented. The application can be used by service and content providers, to provide new business models. The proposed method removes the single point of failure from conventional centralized access control systems, increasing scalability while decreasing operational complexity, regarding access control and pricing procedures. Design and implementation details of the new method in a real-world scenario using a private cellular network and a BCT system that enables smart contracts are also provided.
Business-Oriented Security Analysis of 6G for eHealth: An Impact Assessment Approach
Authors: Suraci Chiara , Pizzi Sara , Molinaro Antonella , Araniti Giuseppe
Published: April 2023

Following the COVID-19 outbreak, the health sector is undergoing a deep transformation that is increasingly pushing it towards the exploitation of technology, thus fostering the growth of digital health (eHealth). Cellular networks play a pivotal role in promoting the digitalization of healthcare, and researchers are banking on beyond fifth-generation (B5G) and sixth-generation (6G) technologies to reach the turning point, given that, according to forecasts, 5G will not be able to meet future expectations. Security is an aspect that definitely should not be overlooked for the success of eHealth to occur. This work aims to address the security issue from a poorly explored viewpoint, namely that of economics. In this paper, we first describe the main eHealth services, highlighting the key stakeholders involved. Then, we discuss how next-generation technologies could support these services to identify possible business relationships and, therefore, to realize an innovative business-oriented security analysis. A qualitative assessment of the impact of specific security breaches in diverse business conditions is provided. Moreover, we examine a case study in order to show the effects of security attacks in a definite scenario and discuss their impact on business dynamics.
Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review
Authors: Sonbul Omar S. , Rashid Muhammad
Published: April 2023

Structural health monitoring (SHM) systems are used to analyze the health of infrastructures such as bridges, using data from various types of sensors. While SHM systems consist of various stages, feature extraction and pattern recognition steps are the most important. Consequently, signal processing techniques in the feature extraction stage and machine learning algorithms in the pattern recognition stage play an effective role in analyzing the health of bridges. In other words, there exists a plethora of signal processing techniques and machine learning algorithms, and the selection of the appropriate technique/algorithm is guided by the limitations of each technique/algorithm. The selection also depends on the requirements of SHM in terms of damage identification level and operating conditions. This has provided the motivation to conduct a Systematic literature review (SLR) of feature extraction techniques and pattern recognition algorithms for the structural health monitoring of bridges. The existing literature reviews describe the current trends in the field with different focus aspects. However, a systematic literature review that presents an in-depth comparative study of different applications of machine learning algorithms in the field of SHM of bridges does not exist. Furthermore, there is a lack of analytical studies that investigate the SHM systems in terms of several design considerations including feature extraction techniques, analytical approaches (classification/ regression), operational functionality levels (diagnosis/prognosis) and system implementation techniques (data-driven/model-based). Consequently, this paper identifies 45 recent research practices (during 2016–2023), pertaining to feature extraction techniques and pattern recognition algorithms in SHM for bridges through an SLR process. First, the identified research studies are classified into three different categories: supervised learning algorithms, neural networks and a combination of both. Subsequently, an in-depth analysis of various machine learning algorithms is performed in each category. Moreover, the analysis of selected research studies (total = 45) in terms of feature extraction techniques is made, and 25 different techniques are identified. Furthermore, this article also explores other design considerations like analytical approaches in the pattern recognition process, operational functionality and system implementation. It is expected that the outcomes of this research may facilitate the researchers and practitioners of the domain during the selection of appropriate feature extraction techniques, machine learning algorithms and other design considerations according to the SHM system requirements.
How Provisional Improvement Notices Influence Employee Voice and Silence
Authors: Ho Phillip
Published: April 2023

Health and safety representatives (HSR) have the power to issue provisional improvement notices (PIN) to their employer for safety breaches. This paper examines how PINs influence workplace dynamics or employee voice. Semi-structured interviews were conducted with HSRs and other key stakeholders. They provided details of their organisations which were used to form three case studies. Some HSRs did not believe PINS would be required as management had implemented a positive safety culture. Other HSRs feared retaliation and were afraid to issue PINs. Overall, how PINs influence employee voice was primarily driven by workplace dynamics, management attitudes as well as broader economic and political factors. There was evidence that PINs increased the confidence of HSRs to perform their duties.
Knowledge Mapping of the Rural Teacher Development Policy in China: A Bibliometric Analysis on Web of Science
Authors: Li Jian , Xue Eryong , Cao Jing , He Yunshu , Wu Yuwei , Hou Huijie
Published: April 2023

The rural teacher development policy plays a key role in cultivating high-quality and sufficient rural teachers in China. This study aims to apply a bibliometric analysis to explore the rural teacher development policy in China’s current education system. The advanced retrieval function of Web of Science (WoS) is used for the literature data, the core collection of Web of Science is selected for the database, and the time span of literature retrieval is consistent with the selected literature. We apply Citespace to analyze the spatial dimension, research paradigm and research method, research theme, research hotspots and co-occurrence of keywords, the evolution process of research hotspots and content of rural teacher development policy in China. It is found that with the deepening of the reform and development of rural elementary education, scholars not only pay attention to the exploration of the deep mechanism of rural teacher policy, but also to data-oriented diversified empirical research.
EDUCAÇÃO AMBIENTAL E O USO SUSTENTÁVEL DA ÁGUA NA AMAZÔNIA: UMA ANÁLISE DAS PERCEPÇÕES AMBIENTAIS DE ALUNOS DO ENSINO FUNDAMENTAL II NA ESCOLA MUNICIPAL FRANCISCO GUEDES DE QUEIROZ SITUADA NA CIDADE DE MANAUS-AM/BRASIL
Authors: MARIA CARNEIRO DE SOUZA SILVIA
Published: April 2023

The process of industrialization and urbanization development has led to environmental degradation and a gradual decline in the quality of life of the world's population. In the Amazon, this process acquires fundamental importance, especially in the context of water resources in urban spaces and one of the most necessary actions to build water management mechanisms is educational action. In this sense, environmental education reflects the importance of assigning relevance to individual and collective participation in maintaining the natural cycle of life in all its construction and application dynamics. In this way, educational institutions have the responsibility to train and guide students and communities to better understand their cultural concepts and expand the meaning of actions in the context of environmental education practices. Considering this context, the theme selected for this research was the sustainable use of water, with the main objective of analyzing the environmental perceptions of elementary school students in Manaus, Amazonas, on this theme in the Amazon. The descriptive research had a qualitative-quantitative approach and was carried out through digital platforms with students from the Francisco Guedes de Queiroz Municipal School. The work developed comprised a total of 89 students from the 6th and 7th year and a smaller group with 5 students from the 6th year. A questionnaire was applied, with structured, objective and subjective questions, sent by the Google Forms platform to the cell phones of the students' guardians. The results showed that students' perception on the subject is still limited, but it already reflects a view on the need for environmental protection. Environmental Education activities are fundamental for the insertion of themes experienced by students in the construction of knowledge and citizenship. This theme emphasizes the current need for environmental education in a systematized environment, which arouses the interest of students, bringing benefits to society, and which aims to form a responsible citizen. Therefore, in order to carry out environmental education in everyday school life, teaching and learning must be based on real knowledge, on the experience and coexistence of students, and seek to develop critical awareness and skills in the school community.
A IMPORTÂNCIA DA MANOBRA DE PESO PARA A ENGENHARIA MECÂNICA
Authors: CARVALHO FONTES FELIPPE , HENRIQUE CORTES PEREIRA MATHEUS
Published: April 2023

The weight handling is a fundamental technique in mechanical engineering used to move and transport heavy objects in various industries. Although this technique is widely used, improper execution can result in serious accidents and financial losses. This article discusses the importance of weight handling in mechanical engineering, its necessary equipment and components, safety techniques and procedures for its execution, and its applications in industry.
O DECRETO 11.150/2022 A APLICAÇÃO DA LEI DO SUPERENDIVIDAMENTO (14.181/2021) DIANTE DO PERCENTUAL DO MÍNIMO EXISTENCIAL FIXADO NO DECRETO 11.150/2022.
Authors: DIAS JARDIM ISABELLA
Published: April 2023

This article deals with the applicability of Law 14.181/2021, which established norms for the prevention and treatment of over-indebtedness and defined the requirements for the consumer to be considered over-indebted, taking into account the percentage of 25% of the minimum wage in effect at the time set in the Decree 11,150/2022, thus establishing the value of R$303.00/month or R$10.10/day as an existential minimum. With this, we sought to clarify the doctrinal and legal concept of over-indebtedness, the assumptions defined in the aforementioned legal order for the consumer to be classified as over-indebted and the explanation of the effect that Decree 11,150/2022 had on the social environment, considering the financial reality Brazilian family. In view of this, it is concluded that Decree 11,150/2022 violated the fundamental precept of the State, which is the dignity of the human person, consequently of the existential minimum, by defining as the minimum necessary family income the extremely derisory value of R$303.00, without take into account conditional peculiarities on an individual basis
Seguimiento de la paciente con diagnóstico de cáncer de mama. Revisión de la evidencia y abordaje terapéutico en el Instituto Nacional de Cancerología - Colombia
Authors: Briceño Morales Ximena , Zuluaga Liberato Andrea , Briceño Morales Clara , Guzmán Abi-Saab Luis Hernán , Sánchez Castillo Jesús Oswaldo , Brugés Maya Ricardo , Lehmann Mosquera Carlos , García Mora Mauricio , Ángel Aristizabal Javier , Mariño Lozano Iván Fernando , Duarte-Torres Carlos Alfonso , Contreras Mejía Fernando , Rojas Andrade Eduardo Alfonso , Diaz Casas Sandra Esperanza
Published: April 2023

Los supervivientes de cáncer se definen como aquellos individuos que han completado su tratamiento inicial y no tienen evidencia de la enfermedad. Para el caso de las pacientes supervivientes de cáncer de mama, el seguimiento involucra no sólo la vigilancia de la recaída locorregional y a distancia, así como la tamización de segundos primarios mamarios, sino también la evaluación de los efectos relacionados con las terapias recibidas. Hoy en día, existe controversia sobre cuál debe ser el método, la frecuencia, la duración y tipo de personal de la salud que realice el seguimiento de estas pacientes. Las guías de las distintas sociedades científicas muestran una variabilidad importante en las recomendaciones a este respecto. Este documento pretende revisar la mejor evidencia disponible sobre los procedimientos para la detección de la recaída locorregional, de las metástasis a distancia, de un segundo cáncer de mama contralateral y de los eventos adversos relacionados con los tratamientos para el cáncer de mama. Adicionalmente, se examinan los porcentajes y sitios de recidiva tumoral con relación al estadio clínico y a la biología tumoral.
Lactancia materna como factor protector contra el desarrollo de leucemia linfoblástica aguda infantil
Authors: Minchola-Castañeda Kevin , Morales-Ibañez Fátima , Montalvo-Rodríguez Angie , Moncada-Carrera José
Published: April 2023

El objetivo del presente estudio es determinar si la lactancia materna actúa como factor protector contra el desarrollo de leucemia linfoblástica aguda infantil. Se realizó una revisión sistemática de artículos publicados entre los años 2012 y 2022 que investigaron la asociación entre la lactancia materna y la leucemia linfoblástica aguda en PubMed, Google Scholar, Scopus y SciELO. Se identificaron 128 trabajos en la búsqueda inicial. Finalmente se seleccionaron 5 artículos de diseño casos y controles. Los resultados indican que la leche humana puede reducir el riesgo de padecer leucemia linfoblástica aguda en los niños en un 44% (OR: 0,56, IC 95%: 0,35 – 0,90, p = 0,017). Los niños que fueron amamantados hasta los 7-9 meses tienen un menor riesgo de presentar leucemia infantil (OR: 0,498, IC 95%: 0,318 – 0,780, p = 0,002). En conclusión, la lactancia materna ejerce un efecto protector contra el desarrollo de la leucemia linfoblástica aguda infantil. Dar de lactar por un periodo de 6 meses a más, disminuye el riesgo de desarrollo de leucemia linfoblástica aguda.
A Construção da Evidência Científica no Implante Percutâneo da Válvula Aórtica (TAVI): Um Modelo Exemplar para a Medicina Moderna
Authors: Gilson Feitosa
Published: April 2023

O editorial trata da importância daMedicina baseada em evidências,principalmente quando há pouco a se fazer pelo paciente, trazendo o implante percutâneo da válvula aórtica (TAVI) como exemplo, na estenose aórtica.
Aspectos Urológicos em Crianças com Bexiga Neurogênica: Revisão Narrativa
Authors: Katharinne Vaz  , Eduarda Alvarez Silva  , Ubirajara Barroso
Published: April 2023

A bexiga neurogênica (BN) é caracterizada por qualquer alteração da função da bexiga secundária a uma lesão neurológica. A principal causa de BN em crianças é a Espinha Bífida (EB), sendo a malformação mais frequente a Mielomeningocele (MMC) a nível lombossacral. A BN tem uma apresentação heterogênea que reflete o complexo sistema de controle cerebral-bexiga-uretra e, a depender do local da lesão no eixo neurológico, pode culminar com incontinência urinária ou retenção urinária e até mesmo altas pressões vesicais levando a falência renal no futuro. O diagnóstico precoce influência diretamente no manejo terapêutico com o intuito de evitar danos renais, evitar infecções do trato urinário e buscar ou manter a continência da criança.
Aplicativos Médicos para Insulinização Hospitalar: Revisão Sistemática
Authors: Julia Mandaro Lavinas Jones  , Filipe Quadros Costa  , Alina Coutinho Rodrigues Feitosa
Published: April 2023

A hiperglicemia (HH) intra-hospitalar é frequente e está relacionada com maior morbidade e mortalidade. O uso de aplicativos de saúde para apoiar o diagnóstico e a terapia está agora incorporado à prática médica. Fizemos uma revisão sistemática sobre as aplicações de insulina no hospital de acordo com as diretrizes PRISMA. Dentre os 573 artigos inicialmente identificados e posterior revisão das referências de cada um, sete estudos envolvendo seis aplicativos foram elegíveis para a revisão. Os seis aplicativos de terapia insulínica em internação em um ambiente de cuidados não críticos provaram ser úteis e seguras em comparação com o manejo usual. Os aplicativos médicos são ferramentas que podem ajudar a melhorar a qualidade do atendimento ao paciente.
CHONDROID SYRINGOMA :A RARE UPPER EYELID TUMOR
Authors: Arora Priyanka , Kumar Sanjiv , Bansal Rani
Published: April 2023

Chondroid syringoma is a benign adnexal mixed tumor of skin characterized by sweat gland elements in
a cartilaginous stroma1. It is a tumor found to be arising from the sweat glands which can be apocrine
(found throughout the surface of lid) or eccrine (glands of moll) with a mean age of 50 years2. Chondroid syringoma is a rare
benign tumour that accounts for 0.01% of all primary skin tumours3 and occurs rarely in the upper eyelid region. Head and neck
region involvement is common (nose is the most common site).It is morphologically similar to pleomorphic adenoma or benign
mixed tumour of the salivary gland4. A 18-year-old male patient presented to us with a slow growing, painless mass on right
upper eyelid since 6 months. Complete surgical excision of the mass was done under local anaesthesia. This report aims to
discuss about this rare benign tumor of the eyelid and to study the histopathological aspects of it.
TO STUDY THE ROLE OF PROBIOTICS IN PREVENTING NECROTIZING ENTEROCOLITIS IN PRETERM AND LOW BIRTH WEIGHT NEONATES
Authors: Rithika Duddala , Amith Kumar Ch
Published: April 2023

Introduction: Necrotising Enterocolitis (NEC) is the most common gastrointestinal emergency in NICU, it
is a life-threatening disease that occurs primarily in premature infants.1 Probiotics are the live microbial
dietary supplements that when administered in adequate amount promotes health.2 In premature infants they are thought to
improve the positive balance of colonizing bacteria that facilitate development of mucosal immunity and prevent the excessive
inammation associated with NEC.3 Methods and Materials: The present study is a Prospective Observational study
conducted in the NICU at Prathima Institute Of Medical Sciences, Karimnagar,Telangana. During the period of 2 years
between December 2020 and November 2022. Neonates of <37 weeks of gestation and with birth weight <1500 gms admitted
into NICU are included in the study. The selected neonates would be administered probiotic 2 million spores of Bacillus clausii
ampules per day along with expressed mother's own milk daily till they reach full feeds (150ml/kg/day). These neonates were
observed clinically, investigated and studied during their period of admission in NICU for the development of Necrotising
Enterocolitis and also the morbidity and mortality of such neonates was studied. Results: In the present study, out of 50
neonates, 11 (22%) preterms developed NEC while 39 (78%) of them did not. This was found to be statistically signicant
(p=0.01). Out of the 11 preterms, 1 (2%) belonged to ELBW while 10 (90%) belonged to VLBW. Out of the 11 preterms who
developed developed NEC, 4 (8%) developed stage I NEC, 5 (10%) developed stage II NEC and 2 (4%) developed stage III NEC.
This was statistically signicant (p= 0.001) In our present study, 4 (8%) of the preterms developed with sepsis while 46 (92%) did
not develop sepsis. This was statistically signicant (p=0.001) Conclusion: Necrotizing Enterocolitis is a worldwide problem in
Preterms Low Birth Weight neonates. The present study has found that Probiotic supplementation has reduced both the
4
incidence and severity of NEC in such neonates. Probiotic supplementation has also reduced the incidence of culture proven
5
sepsis in preterm and Low Birth Weight neonates.
PIGMENTED VILLONODULAR SYNOVITIS OF HIP: A RARE CASE
Authors: Krishna Chand. N Vamshi , M N Karthik , E Aakash. , Rajneesh Rajneesh , L Akshatha , R Akshay , Kumar S Pradeep , Karthik B K Vijay
Published: April 2023

Pigmented villonodular synovitis (PVNS) is a rare disease that can affect any joint, bursa or tendon sheath.
The hip is less frequently affected than the knee.1 We report a case of a 46 years old male presented with
history of pain and limp over right hip since 6months associated with difculty in sitting cross legged and squatting to performing
day today activity. There was no history of fever, weight loss, and long term drug intake. Radiological assessment showed
secondary arthritis of right hip with features of avascular necrosis (AVN). The provisional diagnosis was Arthritis of right hip
secondary to AVN/ Inammatory arthritis and the patient underwent uncemented right total hip replacement(THA), Intra operatively
the articular erosion was noted with reddish gray abnormal synovial growth. Histological assessment showed diffuse expansive
sheets of histiocytes admixed with hemosiderin laden macrophages and alveolar spaces lined by synovial cells and collagenized
stroma. A short term follow up of 18months did not show any clinical recurrence. We conclude that, from our observation, complete
excision of lesion combined with THA is an effective treatment for PVNS of Hip.
A STUDY OF CLINICAL PROFILE AND RISK FACTORS IN ACUTE ISCHEMIC STROKE
Authors: Charan Kulkarni Sai , Kodimala Sushma , Praveen Naik A
Published: April 2023

Background: World Health Organisation denes the clinical syndrome of “stroke” as 'rapidly developing clinical signs of focal (or global) disturbance of cerebral function with symptoms lasting 24 hours or longer or leading to death, with no apparent cause other than vascular origin'. After coronary heart disease (CHD) and cancer of all types, stroke is the third commonest cause of death worldwide. Aim: To study the clinical prole and risk factors of stroke in the study population. Objectives: To study the clinical prole & frequency of various risk factors in Ischemic stroke patients at Kamineni Institute of Medical Sciences Narketpally, Nalgonda. Study Design: Cross sectional, observational study. Place Of Study: Department of General Medicine, Kamineni institute of medical sciences, Narketpally.
Duration Of Study : November 2020 to December 2022
A PROSPECTIVE STUDY OF ASSOCIATION OF ANTERIOR ETHMOIDAL NERVE SYNDROME (SLUDER'S NEURALGIA) WITH NASAL SEPTAL SPUR AND ITS MANAGEMENT
Authors: Kum Bora Kum , Sharma Kalpana , Sukai Aliza
Published: April 2023

Background: Anterior ethmoidal nerve syndrome is headache resulting from irritation of the terminal
branches of the anterior ethmoidal nerve. The headache arises when the septal spur compresses against
the middle turbinate or the lateral nasal wall. Here we studied the association of anterior ethmoidal nerve syndrome (Sluder's
neuralgia) with nasal septal spur and its management. Methods: A prospective observational study carried out on 31 patients
who fullled the clinical diagnostic criteria. Results: The patients were treated surgically. The outcomes of surgical treatment
were quite promising with 29 patients reporting in improvement in pain after surgery out of the 31 surgeries performed.
Conclusion: The diagnosis requires a strong clinical suspicion and appropriate evaluation including nasal endoscopy, scan
and anaesthesia of the suspected point of contact.
STUDY OF DEPRESSION, ANXIETY & STRESS AMONG FAMILY MEMBERS OF HOSPITALIZED COVID-19 PATIENTS IN A TERTIARY CARE HOSPITAL OF CENTRAL GUJARAT.
Authors: M. Sanspara Malika , H. Shah Sandip , D. Desai Nimisha , N. Shah Saurabh
Published: April 2023

Background: COVID-19 pandemic has caused mental health issues along with physical, social, and
economic issues in both patients and their relatives.COVID-19-positive patients were hospitalized in
isolation with no or limited access to relatives. These conditions may have contributed to signicant psychological distress in
relatives and this study was designed to assess the same. Objectives: To nd the prevalence of Depression, Anxiety, and Stress
among Relatives of hospitalized COVID-19 patients. Methods: A cross-sectional quantitative tertiary care hospital-based
study was conducted after approval from Institutional Human Ethics Committee. Relatives of hospitalized COVID-19 patients
were assessed by purposive sampling method using Semi-Structured Performa including socio-demographic details, illnessrelated details, and DASS-21 (Depression, Anxiety, and Stress scale-21) via a telephonic mode of interview. Results: A total of
200 relatives of COVID-19 positive turned negative patients were interviewed on the rst day of the COVID 19 negative report.
Majority of participants were male,mean age 41 years,literate,married & having rst degree relation with the patient. The
prevalence of Depression, Anxiety and Stress was 12%. On individual parameters, Depression, Anxiety and Stress was found
25%,21%,and 20% respectively. Female relatives were signicantly associated with depression (χ2= 8.689,P=.003) &
anxiety(χ2= 5.790,P=.016) where as longer hospitalization was signicantly associated with anxiety(χ2= 10.216,P=.006) and
stress(χ2= 8.936,P=.011). Conclusions: Relatives of COVID-19 patients had a signicant amount of psychological stress.
Female gender of relatives and longer duration of hospitalization of patients were important predictors
TB OR NOT TB
Authors: Dasgupta Puspen , Mukherjee Dharitri
Published: April 2023

Introduction: Tuberculosis (TB) an infection caused by Mycobacterium tuberculosis and less frequently
by ingestion of Mycobacterium bovis infected unpasteurized cow's milk or by other atypical
mycobacteria1,is a very commonly encountered disease in the Indian subcontinent and must almost always be included in the
differential diagnosis of an infective pathology since it can affect any organ most commonly lungs. Materials and methods: An
18 year old male presented to our tertiary care hospital with a right sided submandibular and sub-mental swelling. Differential
diagnosis included abscess involving submandibular salivary gland/Ludwig's angina but with further evaluation, tuberculosis
of submandibular lymph nodes was found to be the provisional diagnosis. Conclusion: Careful evaluation with detailed history,
clinical examination and appropriate investigations are necessary before deciding the denitive management and
tuberculosis, being highly prevalent in the Indian subcontinent, should always be considered as a possible diagnosis as it
signicantly changes the course of treatment required by the patient
RISK FACTORS ASSOCIATED WITH HIV INFECTION AMONG PERSONS ATTENDING ICTC AND PPTCT CENTRE OF A TERTIARY CARE HOSPITAL OF CENTRAL INDIA
Authors: Priya Prachi , Mutha Anita , Purohit Manish , Yadav Sumitra , Bansal Shakshi
Published: April 2023

Backgound : Every year, there are approximately 5 million new HIV (Human Immunodeciency Virus)
infections, and approximately 3 million deaths from AIDS (Acquired Immunodeciency Syndrome). This
is a global public health concern, especially in developing countries. Time to time analysis of risk factors is important to monitor
the current status of HIV among general as well as key population, to evaluate the effectiveness of HIV associated health
programs & interfere the population at risk. This can help in early management as well as prevention of new HIV cases. Method
- In this study, 445 HIV positive patients were studied over a period of one year from August 2021 to July 2022 to determine the risk
factors among them via pre and post test counselling. - Among 445 HIV positive persons, Result risk factors were conrmed in
228 (51.24%) which included spouse HIV positive (72.37%) , patients with sexually transmitted diseases (10.08%) , prisoners
(3.07%) , Male having Sex with Male i.e MSM (2.19%) , parent to child transmission (4.39%), transgender (0.88%), sex with
commercial sex workers (1.75%), truckers (3.51%), homosexual/bisexual (1.75%) and history of multiple blood transfusion
(2.19%). - The number of HIV positive males were more than the number of females. The most common Conclusion risk factor
was found as spouse HIV positive
A COMPARATIVE STUDY ON ANTI-OXIDATIVE PROPERTIES OF DIFFERENT CULTIVARS OF PIPER BETLE COLLECTED FROM HOWRAH DISTRICT (WEST BENGAL)
Authors: Dutta Ranita , Ray Banerjee Ena
Published: April 2023

The incidences of inammatory diseases are increasing in Asia with maximum incidence in India among the south-east Asian countries. There is a
need for development of novel approaches to treat or prevent the diseases using eco-compatible drugs. Paan or Piper betle has been traditionally
known as a recreational food. However due to its properties it is a functional food as well. Ayurveda illustrates the use of Paan as a nutraceutical.
Paan is known to possess antioxidant, anti-inammatory, anti-apoptotic, anti-cancer and anti-microbial properties. The essential oil (1%–3%) in
leaves are used in making ayurvedic medicines and herbal products. Exploration of its anti-oxidative potential may reveal some bioactive or higher
phenolic and avonoid compound to enhance its nutritive value and help in combating various inammatory and degenerative diseases. With this
aim, we have planned to screen a number of varieties of paan collected from different districts of West Bengal, by a panel of different cell free antioxidative biochemical assays, to compare four different anti-oxidative potentials in four different cultivars of a particular geographical location and
in a particular season (summer) of collection from Howrah district of West Bengal. The study revealed the best variety of Howrah district which has
the potential to combat the inammatory and degenerative diseases