bluuebunny/crossref_metadata_2025 huggingface dataset:
MTMR14 Alleviates Chronic Obstructive Pulmonary Disease as a Regulator in Inflammation and Emphysema
Authors: Gu Yiya , Chen Jinkun , Huang Qian , Zhan Yuan , Wang Ting , Wu Jixing , Zhao Jianping , Zeng Zhilin , Lv Yongman , Xiao Chengfeng , Xie Jungang
Published: January 2022

Extensive inflammation and apoptosis in structural cells of the lung are responsible for the progression and pathogenesis of chronic obstructive pulmonary disease (COPD). Myotubularin-related protein 14 (MTMR14) has been shown to participate in various biological processes, including apoptosis, inflammation, and autophagy. Nonetheless, the role of MTMR14 in COPD remains elusive. In the present study, we explored the expression of MTMR14 in human lung tissues and investigated the effects of overexpressed MTMR14 on in vitro and in vivo COPD models. Moreover, one of the possible mechanisms of MTMR14 alleviating COPD was explored based on mitochondrial function and mitophagy homeostasis. The results showed that MTMR14 expression was reduced in COPD patients’ lungs in comparison to control subjects. MTMR14 overexpression inhibited cigarette smoke extract-induced inflammation and apoptosis and improved mitochondrial function and mitophagy in vitro. Further verification was carried out in COPD model mice. MTMR14 overexpression inhibited lung inflammation and reduced levels of IL-6 and KC in bronchoalveolar lavage fluid, as well as prevented emphysema and a decline in lung function. Furthermore, MTMR14 overexpression improved mitochondrial function and mitophagy to a certain extent. Collectively, our data support the hypothesis that MTMR14 participates in the pathogenesis of COPD. Improving mitochondrial function and mitophagy homeostasis may be one of the mechanisms by which MTMR14 alleviates COPD and may potentially be a novel therapeutic target for COPD.
The Application of DOMS Mechanism and Prevention in Physical Education and Training
Authors: Zeng Cong , Luo Ge , Xu Shijun , Li Yi
Published: January 2022

To analyze the causes of muscle soreness and injury during precompetition training in university sports meet and taking the DOMS mechanism as the main line to find a reasonable way to deal with the muscle pain and prevent the injury, 125 college students participating in stadium games training were randomly selected. The muscle pain and injury during the training were obtained through interviews, mathematical statistics, and literature review. The information of exercise load, pain and injury type, exercise ability, pain degree, and recovery time was comprehensively analyzed to study the mechanism of pain and injury formation. Muscle pain and injury occurred in precompetition training, especially in freshmen. After heavy load, muscle soreness occurred, causing DOMS and developing into muscle injury. Affected by the external climate environment, sudden muscle soreness and injury are a gradual transformation process with DOMS as the boundary, which is the comprehensive result of exercise load, water, energy, and material metabolism; control load intensity, water supplement, and energy and material supplement can effectively prevent the occurrence of DOMS, and timely recovery after DOMS symptoms can effectively avoid the occurrence of sports injury. According to the different intensity of exercise, it is of great significance to clarify the mechanism of DOMS and explore effective prevention methods for physical education and sports training.
A Study on the Effects of Chinese Massage on Physical and Mental Health in Participants Based Smart Healthcare
Authors: Chang Ko-Hsin , Hung Chih-Hsiang , Lin Tzu-Yun , Lin Hsiao-Hsien , Chen Yi-Ling
Published: January 2022

The purpose of this study is to understand the influence of the effect of the smart Chinese massage appliance on the participants’ sports performance and physical and mental health after intermittent exercises. The study was performed by a mixed-study method. First, the experimental research method was used to design an experimental procedure and specifications such as data collection scope. Next, the quantitative research was carried out, using SPSS 26.0 statistical software to analyze data from the questionnaire. Then, the qualitative research was carried out by interviewing experts and respondents and obtaining their opinions. Finally, all the data were collated and analyzed using the multidimensional review method. Findings. Chinese massage significantly improved the physical fitness, exercise performance, body composition, and physical and mental health status of high-strength cyclic exercise participants. High-strength exercises can improve the physical and mental health of men. Medium-strength exercises could improve current conditions for women. Oxygen intake remained peaked for 8 sessions for men and increased after 30 sessions for women. Both groups required a 1-2-week adaptation period but had different exercise performance periods. After the experiment, head and back pain, as well as stress and negative emotions, was improved. The high intensity of the exercises relieved fear, headache or head stress, overeating, and other problems.
Ultrasound-Guided Stellate Ganglion Block Combined with Extracorporeal Shock Wave Therapy on Postherpetic Neuralgia
Authors: Wang Changsheng , Yuan Fei , Cai Lu , Lu Haiqin , Chen Gongjin , Zhou Jinping
Published: January 2022

Objectives. To evaluate the effect of ultrasound-guided stellate ganglion block combined with extracorporeal shock wave therapy (ESWT) on postherpetic neuralgia. Methods. Thirty-six patients with craniofacial postherpetic neuralgia, whose skin lesions were healed and natural course more than 1 month, were selected for the study and then randomly divided into 3 groups: the ultrasound-guided stellate ganglion block group (group A, n = 12), the extracorporeal shock wave therapy group (group B, n = 12), and the combined treatment group (group C, n = 12). Each group received basic drug treatment. The Visual Analogue Scale (VAS) and the Pain Disability Index (PDI) were used to evaluate the clinical effects of the 3 groups of patients before treatment, after twice treatments, after treatment for four times, and after treatment for six times. Results. The VAS and PDI were significantly declined in each group after the treatment (

P
<
0.05

), and the declination in group C was more obvious than the other two groups (

P
<
0.05

). After treatment for six times, the VAS score of group A, group B, and group C was 3.1 ± 1.2, 3.3 ± 1.3, and 1.9 ± 0.7, respectively. After treatment for six times, the PDI of group A, group B, and group C was 11.7 ± 8.4, 12.3 ± 7.8, and 4.6 ± 3.2, respectively. Three patients developed skin bruising and slight swelling, which were relieved by themselves. Conclusions. Ultrasound-guided stellate ganglion block combined with shock wave therapy could significantly improve the pain symptoms of patients with postherpetic neuralgia, which is a safe and effective treatment for postherpetic neuralgia.
Performance evaluation of different configurations of system with DSTATCOM using proposed Icos⁡ϕ technique
Authors: Ram Atma , Sharma Parsh Ram , Ahuja Rajesh Kumar
Published: January 2022

The proposed Icos⁡ϕ control technique has been applied for power quality improvement using different configurations of system with distribution static compensator (DSTATCOM). Modeling, design and control of DSTATCOM are analysed in detial. Three phase reference current are extracted with this technique. The proposed technique has been used for power factor enhancement, voltage regulation, harmonic suppression and load balancing under dynamic condition with non-linear load. The proposed control is very effective for three different configurations of system with DSTATCOM for power quality improvement. Results for each configuration of system with DSTATCOM are simulated using MATLAB/Simulink sim power tool box. For teaching the power quality course, these can also be helpful.
Optimal design of CMOS current mode instrumentation amplifier using bio-inspired method for biomedical applications
Authors: Sabiri Issa , Bouyghf Hamid , Raihani Abdelhadi , Ouacha Brahim
Published: January 2022

Analog integrated circuits for biomedical applications require good performance. This paper presents an instrumentation amplifier (IA) design based on three complementary metal oxide semiconductor (CMOS) conveyors with an active resistor. This circuit offers the possibility to control the gain by voltage and current. We have designed the IA to minimize the parasitic resistance (Rx) with large bandwidth and high common mode rejection ratio (CMRR) using the artificial bee colony algorithm (ABC). The topology is simulated using 0.35µm CMOS technology parameters. The optimization problem is represented by an objective function that will be implemented using MATLAB script. The results were approved by the simulation using the advanced design system (ADS) tool. The simulation results were compared to the characteristics of some other instrumentation amplifiers exsisting in the literature. The circuit has a higher CMRR than other topologies.
State and fault estimation based on fuzzy observer for a class of Takagi-Sugeno singular models
Authors: Ouarid Kaoutar , Essabre Mohamed , Assoudi Abdellatif El , Yaagoubi El Hassane El
Published: January 2022

Singular nonlinear systems have received wide attention in recent years, and can be found in various applications of engineering practice. On the basis of the Takagi-Sugeno (T-S) formalism, which represents a powerful tool allowing the study and the treatment of nonlinear systems, many control and diagnostic problems have been treated in the literature. In this work, we aim to present a new approach making it possible to estimate simultaneously both non-measurable states and unknown faults in the actuators and sensors for a class of continuous-time Takagi-Sugeno singular model (CTSSM). Firstly, the considered class of CTSSM is represented in the case of premise variables which are non-measurable, and is subjected to actuator and sensor faults. Secondly, the suggested observer is synthesized based on the decomposition approach. Next, the observer’s gain matrices are determined using the Lyapunov theory and the constraints are defined as linear matrix inequalities (LMIs). Finally, a numerical simulation on an application example is given to demonstrate the usefulness and the good performance of the proposed dynamic system.
The IoT and registration of MRI brain diagnosis based on genetic algorithm and convolutional neural network
Authors: Ahmed Ahmed Shihab , Salah Hussein Ali
Published: January 2022

The technology of the multimodal brain image registration is the key method for accurate and rapid diagnosis and treatment of brain diseases. For achieving high-resolution image registration, a fast sub pixel registration algorithm is used based on single-step discrete wavelet transform (DWT) combined with phase convolution neural network (CNN) to classify the registration of brain tumors. In this work apply the genetic algorithm and CNN clasifcation in registration of magnetic resonance imaging (MRI) image. This approach follows eight steps, reading the source of MRI brain image and loading the reference image, enhencment all MRI images by bilateral filter, transforming DWT image by applying the DWT2, evaluating (fitness function) each MRI image by using entropy, applying the genetic algorithm, by selecting the two images based on rollout wheel and crossover of the two images, the CNN classify the result of subtraction to normal or abnormal, “in the eighth one,” the Arduino and global system for mobile (GSM) 8080 are applied to send the message to patient. The proposed model is tested on MRI Medical City Hospital in Baghdad database consist 550 normal and 350 abnormal and split to 80% training and 20 testing, the proposed model result achieves the 98.8% accuracy.
A new remote monitoring device to track magnetic resonance imaging machine cooling system failures
Authors: Elallam Oussama , Hamlich Mohamed
Published: January 2022

The magnetic resonance imaging (MRI) machine cooling system has a vital role in the conduct of MRI examinations because a shutdown of the MRI cooling system in the absence of the manipulators can lead to grave consequences over time, like quench, which is the vaporization of helium liquid in the MRI tank, and it's the most expensive MRI failure. To limit the risks of this problem, several companies have tried to develop a monitoring system to track MRI cooling system failures but all solutions proposed are complicated and demand many connections with MRI. The proposed solution is simple, easy, and efficient requires only one joint with the helium compressor, and it has a humidity and temperature sensor to detect quench incident, it works using an advanced monitoring algorithm that evaluates the status of the cooling system and identifies breakdowns, in case of failure our system will send short message service (SMS) notifications and emails to the customer service team. The proposed solution shows the potential for starting the research to understand the relationship between the behavior of the MRI cooling system and the quench using machine learning algorithms.
Multi-scale 3D-convolutional neural network for hyperspectral image classification
Authors: Kanthi Murali , Sarma Thogarcheti Hitendra , Bindu Chigarapalle Shoba
Published: January 2022

Deep Learning methods are state-of-the-art approaches for pixel-based hyperspectral images (HSI) classification. High classification accuracy has been achieved by extracting deep features from both spatial-spectral channels. However, the efficiency of such spatial-spectral approaches depends on the spatial dimension of each patch and there is no theoretically valid approach to find the optimum spatial dimension to be considered. It is more valid to extract spatial features by considering varying neighborhood scales in spatial dimensions. In this regard, this article proposes a deep convolutional neural network (CNN) model wherein three different multi-scale spatial-spectral patches are used to extract the features in both the spatial and spectral channels. In order to extract these potential features, the proposed deep learning architecture takes three patches various scales in spatial dimension. 3D convolution is performed on each selected patch and the process runs through entire image. The proposed is named as multi-scale three-dimensional convolutional neural network (MS-3DCNN). The efficiency of the proposed model is being verified through the experimental studies on three publicly available benchmark datasets including Pavia University, Indian Pines, and Salinas. It is empirically proved that the classification accuracy of the proposed model is improved when compared with the remaining state-of-the-art methods.
A weighted group shuffled decoding for low-density parity-check codes
Authors: Zenkouar Fatima Zahrae , Alaoui Mustapha El , Najah Said
Published: January 2022

In this paper, we have developed several concepts such as the tree concept, the short cycle concept and the group shuffling concept of a propagation cycle to decrypt low-density parity-check (LDPC) codes. Thus, we proposed an algorithm based on group shuffling propagation where the probability of occurrence takes exponential form exponential factor appearance probability belief propagation-group shuffled belief propagation (EFAP-GSBP). This algorithm is used for wireless communication applications by providing improved decryption performance with low latency. To demonstrate the effectiveness of our suggested technique EFAP-GSBP, we ran numerous simulations that demonstrated that our algorithm is superior to the traditional BP/GSBP algorithm for decrypting LPDC codes in both regular and non-regular forms
An analytical approach for LQR design for improving damping performance of multi-machine power system
Authors: Uravakonda Sreenivas , Mallapu Vijaya Kumar , Reddy Venkateswara Reddy Annapu
Published: January 2022

In a multi-machine environment, the inter-area low-frequency oscillations induced due to small perturbation(s) has a significant adverse effect on the maximum limit of power transfer capacity of power system. Conventionally, to address this issue, power systems were equipped with lead-lag power system stabilizers (CPSS) for damping oscillations of low-frequency. In recent years the research was directed towards optimal control theory to design an optimal linear-quadratic-regultor (LQR) for stabilizing power system against the small perturbation(s). The optimal control theory provides a systematic way to design an optimal LQR with sufficient stability margins. Hence, LQR provides an improved level of performance than CPSS over broad-range of operating conditions. The process of designing of optimal LQR involves optimization of associated state (Q) and control (R) weights. This paper presents an analytical approach (AA) to design an optimal LQR by deriving algebraic equations for evaluating optimal elements for weight matrix ‘Q’. The performance of the proposed LQR is studied on an IEEE test system comprising 4-generators and 10-busbars.
Assessment of the Quality of Arabica Coffee Beans from Three Processing Methods and Two Types of Packaging Materials
Authors: Dharmaputra Okky S. , Ambarwati Santi , Retnowati Ina , Nurfadila Nijma
Published: January 2022

In Southeast Asia, Indonesia is the second highest-producing country of coffee beans after Vietnam. Consequently, Indonesia competes with other countries in producing good quality coffee beans. However, not many people have sufficient skills in tackling problems related to the postharvest handling of these coffee beans. The objective of this study was to assess the quality of Arabica coffee (Coffea arabica) beans in terms of moisture content, fungal infection (especially ochratoxin A or OTA producing fungi), OTA contamination, and the taste of the coffee during storage. The three processing methods used were dry, wet, and semi-wet methods. The beans were packed using two types of packaging materials, i.e. Kantong Semar high gas barrier and polypropylene bags (4 kg/bag). They were then stored under warehouse conditions during 4 months of storage. The moisture content of coffee beans processed using the three methods and packed using polypropylene bags was higher than that of coffee beans packed using Kantong Semar high gas barrier; however, it was still lower than the safe moisture content for coffee determined by the Indonesian National Standard (12.5%). Aspergillus niger was found in coffee processed using the three methods and packed using a Kantong Semar high gas barrier. Its population was relatively low (< 0.1 x 10 cfu/g wet basis). Aspergillus ochraceus was found in coffee processed using dry and wet methods at the beginning of storage. Its population was also relatively low (< 0.3 x 10 cfu/g w.b. OTA content was not detected in all coffee samples, because it was lower than the detection limit of the instrument used (< 1.85 ppb). At the beginning of the storage, all coffee samples were dominated by yeast with the population of 1.9 x 102 – 1.2 x 103 cfu/g w.b. The taste of coffee in various treatments during 4 months of storage was still above the total standard score for specialty grade ≥ 80. The highest total score (84) was found in coffee beans processed using a dry method and packed in Kantong Semar high gas barrier. The three processing methods and the two types of packaging materials can be used to maintain the quality of coffee beans during 4 months of storage.
 
Keywords: Arabica coffee beans, processing methods, quality, types of packaging materials
Effectiveness of indigenous endomycorrhizal biofertilizer prototype on organic salak (Salacca zalacca) plantations and its effect on nutrient and carbohydrate content of leaves
Authors: Rai I Nyoman - , Suada I Ketut - , Wiraatmaja I Wayan - , Alit Astiari Ni Komang -
Published: January 2022

Organically cultivated salak (Salacca zalacca) on dry land had limited production in Bali. Typically, the fertilization was carried out using the leaves litter or other organic fertilizer because the fertility of the soil was low for salak plantations, and the nutrition for the tree was lacking. The present study aimed to analyze the effectiveness of indigenous endomycorrhizal biofertilizer prototype on salak plantations and its effect on the nutrient and total carbohydrate content of the leaves. The study used a randomized block design with nine replicates conducted at Sibetan village, Bebandem district, Karangasem regency, and Bali province. The treatment consisted of 3 levels, i.e., fertilization with leaf litters only as the farmersâ€™ way/control (C), fertilization with indigenous endomycorrhizae biofertilizer prototype (P), and combination fertilization with leaf litters and indigenous endomycorrhizae biofertilizer prototype (PM). The spores of indigenous endomycorrhizae were used for making biofertilizer prototype isolated from soil and root samples in salak producing areas, i.e. Sibetan village. The results showed that P and CP significantly increases the chlorophyll content of the leaf, relative water content of the leaves, and number and weight of fruit per tree in comparison to C. Treatments P and CP also improved the fruit quality by increasing of the sweetness and weight per fruit. Thus, the indigenous endomycorrhizae biofertilizers prototype has a positive effect on water uptake and nutrient absorption as indicated by high N and P on leaf tissue and high total sugar, R-sugar, and sucrose content of the leaves.Â Keywords: biofertilizer, endomycorrhizae, organic, prototype, salak
SPECIES DIVERSITY OF SOIL FUNGI FROM A CORN PLANTATION AT ECHAGUE, PHILIPPINES
Authors: Tecson Rey Mark Gascon , Temanel Florenda C. Ballesteros - , Jacob James Kennard Sanz
Published: January 2022

Soil fungi are a critical component of the agroecosystems and provide ecological services that affect food and bio-product production. Awareness of the composition and distribution of local species is necessary to maximize the productivity and sustainability of the agroecosystems. This study aimed at isolating fungi from the soil samples collected from a corn plantation at Echague, Isabela, morphologically defining, characterizing, and determining the diversity of fungal isolates species. Soil samples from five (5) different sampling units were collected and microbiological techniques were used to isolate the fungi. Identification was performed by morphological characterization of fungal isolates guided by taxonomic keys and textbooks. Fungal diversity was assessed using Simpson's indices of diversity. Â Sixteen (16) fungal isolates were found; 12 were known and four (4) were unidentified. Ten (10) species belong to the Ascomycota group, and two (2) belong to the Zygomycota class. The Aspergillus species dominated the region amongst all the species isolated and established. Â Aspergillus fumigatus and Aspergillus flavus are densely populated and well distributed. A potent biocontrol agent was also identified, namely Trichoderma harzianum and Trichoderma viride.Â  The Mucor sp. and the Rhizopus stoloniferous, Zygomycota fungi, were also identified.
Apendicectomia aberta versus videolaparoscópica em crianças: estudo prospectivo em hospital público terciário
Authors: Schroeder Andressa Zabudowski , Almeida Paula Adamo de , Romaniello Gabriela , Meskau Melina Paula de Araújo , Castilho Bruna Caroline Moreira de , Oliveira Leilane de , Aquino Adria Karina Farias de , Tognolo Carolina Marquetto , Oliveira Gustavo Gomes , Dias André Ivan Bradley dos Santos , Fachin Camila Girardi
Published: January 2022

Introdução: Apendicectomia é um dos procedimentos cirúrgicos mais realizados em crianças e é a terapia de escolha no tratamento da apendicite aguda. Há evidências na literatura que favorecem a realização da cirurgia pela via laparoscópica em detrimento da via aberta na população pediátrica. Objetivo: comparar a apendicectomia aberta e laparoscópica no tratamento da apendicite aguda em crianças em um hospital terciário público do Brasil. Métodos: estudo observacional prospectivo comparando apendicectomias abertas e videolaparoscópicas realizadas em pacientes pediátricos com apendicite aguda atendidos entre março/2017 e março/2018. Foram analisados aspectos epidemiológicos; pré-operatórios (clínica, exames laboratoriais e de imagem, tempo entre admissão e procedimento); intra-operatórios (tempo de procedimento, técnica); pós-operatório (tempo de internação; complicações). Resultados: amostra de 63 pacientes, com média de idade de 8 anos. 80,9% apresentavam vômitos, sinal de Bloomberg em 63,5% e dor abdominal difusa em 71,4%. Realizado hemograma em 43 pacientes, com 72% de leucocitose e 51,2%, bastonetose; radiografia abdominal em 12 e ultrassonografia em 47,6%. 31,7% realizaram apendicectomia laparoscópica, enquanto 68,3%, apendicectomia aberta. Não houve diferença entre os grupos quanto as condições da cavidade e características do apêndice. O grupo da cirurgia aberta teve 52,3% de apendicectomias complicadas, complicação pós-operatória em 2,3% e tempo de internação médio de 3 dias, já no da laparoscópia, 60% foram complicadas, 10% com complicação pós-operatória e 2,9 dias de tempo de internação médio. Conclusão: o presente estudo permite afirmar, com limitações estatísticas, que não há diferença entre apendicectomia aberta e videolaparoscópica quanto ao tempo entre a admissão e o procedimento, tempo de internação e complicações pós-operatórias, sendo relevante a diferença no tempo do procedimento.
A terapêutica do câncer gástrico e sua associação com a nefrotoxicidade
Authors: Alves Nathália Pereira , Faria Sabrina Thalita dos Reis , Malta Neto Natael Ribeiro , Souza Yara Paschoal de , Piantino Camila Belfort
Published: January 2022

O câncer gástrico vem acometendo os brasileiros, sobretudo os homens e a população com idade superior a 55 anos, sendo, portanto, temática relevante na promoção do cuidado. Essa neoplasia pode apresentar comorbidades decorrentes do tumor ou terapêutica, gerando entraves no prognóstico do paciente, como a nefrotoxicidade. Assim, propõe-se analisar associações entre a variação dos níveis de creatinina e ureia versus a presença de tratamento oncológico, histologia do tumor, sexo, etnia e idade dos pacientes com câncer gástrico atendidos no Hospital Regional do Câncer de Passos, no período de janeiro de 2012 a dezembro de 2015. Trata-se de um estudo observacional transversal com dados obtidos em fonte documental. Considerando a creatinina, notou-se que dentre os pacientes que realizaram algum tipo de tratamento, 95,3% apresentaram variações dos níveis de creatinina e esta diferença foi significativa do ponto de vista estatístico (p=0,042). De acordo com os níveis de ureia, 93,7% dos pacientes apresentaram variações, entretanto sem diferença significativa (p=0,147). Conclui-se que a presença de qualquer tratamento nos pacientes com câncer gástrico pode alterar os níveis séricos de creatinina, evidenciando assim a importância do monitoramento destes para promover o cuidado integral do paciente.
Could obesity be a risk factor for adverse clinical outcomes of COVID-19? Review article
Authors: Espinosa Betina Linardi , Sousa Emily Brenda de Lima , Morandi El Faro Flavia , Marques Tatiana Carvalho , Furtado Celine de Carvalho , Queiroz Giovana Gonçalves Jamar de
Published: January 2022

Aims: This narrative review’s purpose was to verify a possible association between obesity and COVID-19-related outcomes. Methods: A PubMed research was done in May 2020, and after the eligibility criteria, 10 articles were included, which were analyzed, and its results compared. Results: It was observed that, because of the changes caused by obesity in the organism, this comorbidity is an important risk factor for Sars-CoV-2’s infection severity and hospital stay. Moreover, obesity has been considered a risk factor for adverse clinical outcomes. Also, it was possible to notice that most individuals with obesity were male, therefore a direct relation was traced between men with obesity and COVID-19’s severity, and this population required more intubation and those older than 20 years old presented higher mortality rate. Besides that, the association between obesity and other comorbidities seems to worsen even more the infectious state. Conclusions: However, it was not possible to find a pathophysiological mechanism that can fully explain those associations. Therefore, more studies are vital to understand this subject.
Inovações tecnológicas no período pós-pandemia: uma análise da propriedade antimicrobiana do grafeno
Authors: Lira Juliana Sabio , Batista Junior Jorge Mauricio Bronze , Santos Natália Moles dos , Pessôa Luiggi Cavalcanti
Published: January 2022

Os nanomateriais estão emergindo como possíveis soluções para os desafios contemporâneos de saúde pública. Dentre esses materiais, o grafeno tem recebido atenção da comunidade científica devido às suas propriedades e particularidades, como a leveza, rigidez, condutibilidade térmica e elétrica e, principalmente, seu potencial antimicrobiano. No contexto da medicina, pesquisas recentes abordam a aplicação desse material em equipamentos de proteção individual, em função da contenção na transmissão de potenciais vírus. Em meio a pandemia do coronavírus, o grafeno revelou-se como um material com relevância considerável para estudo; no entanto, nota-se uma falta de informações na literatura que utilizem de forma sistematizada o conhecimento deste nanocomposto e suas propriedades e aplicações especificamente para a área da saúde, de modo que proporcione o entendimento aprofundado acerca do desempenho antimicrobiano e ateste a sua empregabilidade biomédica. O presente estudo visa contribuir com uma revisão da literatura de artigos publicados nos últimos cinco anos, utilizando como base de dados plataformas de livre acesso. O objetivo é analisar e sistematizar o panorama das inovações tecnológicas do grafeno no âmbito da saúde pública, identificando e investigando cinco principais aspectos: evolução temporal das publicações, propriedades mais relevantes, formas de apresentação do nanocomposto grafeno, possíveis efeitos de sua aplicação à saúde humana, assim como principais entraves. Dessa forma, uma revisão da literatura foi realizada nas bases de dados PubMed e SCOPUS entre agosto de 2020 e março de 2021 com os termos de busca “Graphene applications and medicine and antimicrobial”. Os artigos incluídos são de livre acesso e foram publicados na língua inglesa, entre os anos de 2015 e 2021. Concluiu-se que o número de artigos publicados sobre o composto aumentou significativamente nos últimos anos, sobretudo no ano de 2020. A função antimicrobiana se destaca de forma promissora entre as demais funções abordadas, além do nanomaterial ganhar notoriedade em decorrência da sua aplicabilidade em biossensores ao possibilitar o reconhecimento e eliminação de patógenos, assim como efeitos terapêuticos trazidos pelos nanomedicamentos que utilizam o grafeno como carreador.
Inflammation Resolution: Implications for Atherosclerosis
Authors: Doran Amanda C.
Published: January 2022

Resolution is an active and highly coordinated process that occurs in response to inflammation to limit tissue damage and promote repair. When the resolution program fails, inflammation persists. It is now understood that failed resolution is a major underlying cause of many chronic inflammatory diseases. Here, we will review the major failures of resolution in atherosclerosis, including the imbalance of proinflammatory to pro-resolving mediator production, impaired clearance of dead cells, and functional changes in immune cells that favor ongoing inflammation. In addition, we will briefly discuss new concepts that are emerging as possible regulators of resolution and highlight the translational significance for the field.
Extension of Endocardium-Derived Vessels Generate Coronary Arteries in Neonates
Authors: Tang Juan , Zhu Huan , Tian Xueying , Wang Haixiao , Liu Shaoyan , Liu Kuo , Zhao Huan , He Lingjuan , Huang Xiuzhen , Feng Zhao , Ding Zhangheng , Long Ben , Yan Yan , Smart Nicola , Gong Hui , Luo Qingming , Zhou Bin
Published: January 2022

Background:

Unraveling how new coronary arteries develop may provide critical information for establishing novel therapeutic approaches to treating ischemic cardiac diseases. There are 2 distinct coronary vascular populations derived from different origins in the developing heart. Understanding the formation of coronary arteries may provide insights into new ways of promoting coronary artery formation after myocardial infarction.

Methods:

To understand how intramyocardial coronary arteries are generated to connect these 2 coronary vascular populations, we combined genetic lineage tracing, light sheet microscopy, fluorescence micro-optical sectioning tomography, and tissue-specific gene knockout approaches to understand their cellular and molecular mechanisms.

Results:

We show that a subset of intramyocardial coronary arteries form by angiogenic extension of endocardium-derived vascular tunnels in the neonatal heart. Three-dimensional whole-mount fluorescence imaging showed that these endocardium-derived vascular tunnels or tubes adopt an arterial fate in neonates. Mechanistically, we implicate Mettl3 (methyltransferase-like protein 3) and Notch signaling in regulating endocardium-derived intramyocardial coronary artery formation. Functionally, these intramyocardial arteries persist into adulthood and play a protective role after myocardial infarction.

Conclusions:

A subset of intramyocardial coronary arteries form by extension of endocardium-derived vascular tunnels in the neonatal heart.
The Representation of Gender and Inflectional Class in Italian: A Reply to Kučerová 2018
Authors: Baggio Pietro , Sudo Yasutada
Published: January 2022

Kučerová (2018) puts forward a novel theory of the morphology and interpretation of nominal gender in Italian. Here, we take issue with this theory from both empirical and theoretical standpoints. We first show that several generalizations presented as empirical support for it are incorrect. We then point out three fundamental theoretical challenges. First, the proposed three-way classification of nouns does not represent the full range of facts, because it does not take into account plural morphology or the interdependencies of class and gender features. Second, the account of gender mismatch in terms of “semicon-servativity” fails to capture the Italian data, once the full paradigm is considered. Finally, the use of phase theory to model contextual valuation of gender faces an insurmountable lookahead problem.
Ikonographische Strategien Claudians
Authors: Flores Militello Vicente
Published: January 2022

This article focuses on the particular ways in which Claudian portrays the epic hunting episode in his Stil. 3. In addition to the poetic models that he re-elaborates, he takes up an iconographic language with which his public, the Roman élite, was very well acquainted: it is the same iconography that can be observed in the hunting mosaics of Dermech and Hippona—and above all in the Grande Caccia of Piazza Armerina. In both Claud. Stil. 3 and the mosaics, we encounter a hunt, or rather a collection of animals which takes place mainly in North Africa in preparation for the games in the Roman harena. Both the hunting episode in Claudian’s poem and the scenes of hunting in the mosaics point to the liberalitas or economical-political power, or even virtus, which the owners of the villas, or Stilicho himself, claimed for themselves. This clearly builds on a ‘language’ that the contemporary élite (4th century CE) appreciated and that Claudian exploited with great success.
5. The Presence of the Lithic
Authors: Potter Thea
Published: January 2022

In Chapter Five (‘The Presence of the Lithic’) I illustrate the indebtedness of the conceptual structure and language of the geologic timescale to the Aristotelian formulation of time. I do not do this to assert that there is a debt modern thought owes to ancient thought but rather to raise the possibility of the divisive nature of the question of time itself. In the geologic timescale, as in Aristotelian time, linearity is important but not unproblematic. How the measurement of time is conceptualised both in geologic and in Aristotelian ‘time’ raises the problem of division in a continuum, or how to break time down into measurable units. For Aristotle the ‘now’ is the term distinguishing the past from the future, brought into alignment with the figure of the horos. Does this temporal boundary still retain a trace of stone? The stone is not only instrumental but also essential to the divisions of geologic time; it is simultaneously the tool and the unit of measure. Here, too, stone is read by us, and it is believed that it can tell us something determinate about the past, something at once concrete and abstract. That stone is given as a figure of the unit of time, interpreted as an indicator of time past, must alert us that the dynamics of existence are always read in material configurations which, as in the geological diagnostic of the Anthropocene, implicate a notion of human conjectural and material hegemony.
A Secure Data Storage Architecture for Internet of Medical Things (IoMT) Using an Adaptive Gaussian Mutation Based Sine Cosine Optimization Algorithm and Fuzzy-Based Secure Clustering
Authors: Joel Devadass Daniel D. J. , Ebenezer Juliet S.
Published: January 2022

The fast-growing Internet of Things (IoT) paradigm can be referred to be the interconnection of physical things or human beings along with the digital electronics devices, Softwares to exchange data with centralized systems through the defined communication infrastructures. Moreover,
it provides better opportunities for the direct connection between the physical world and computer-based systems. Nevertheless, the security of data transmission through IoMT (Internet of Medical Things) is the biggest challenge. Hence to provide better security we proposed a novel method
known as, Fuzzy based Adaptive Gaussian Mutation based Sine Cosine Optimization approach to ensure security and Quality of Service (QoS) by exploiting the Mutual authentication mechanism. Moreover, an adaptive Gaussian mutation-based SCO algorithm is exploited for cluster formulation of IoMT
nodes. The Intuitionistic fuzzy based weight estimation is made for the selection of CH and effective routing. Our proposed work is compared to several recent works. From the performance analysis and evaluation, we conclude that the proposed work outperforms all the existing works and provides
better QoS and security.
Security for the Networked Robot Operating System for Biomedical Applications
Authors: Rajakumaran M. , Ramabalan S.
Published: January 2022

Future mechanical frameworks will be arranged in exceptionally organized conditions in which they speak with modern control frameworks, cloud administrations or various other systems at distant areas. In this pattern of solid digitization of modern frameworks (likewise some of the time
alluded to as Industry 4.0), digital assaults are an in-wrinkling danger to the uprightness of the automated frameworks at the center of this unique turn of events. It is normal, that the ROS shall assume a significant function in advanced mechanics outside of unadulterated exploration situated
situations. ROS anyway has noteworthy security issues which should be tended to before such items should arrive at mass business sectors. Robot Operating System has emerged promptly as an alluring production method at micro and nano scales, particularly in the area of biomedical applications
because of its flexibility and condensed size. As disputed to conventional grippers in the field of biomedical applications where mobility is less and show size restriction threats, ROS based micro-grippers are clear from outside power input and yield better mobility. It also has a significant
impact on the field of biomedical surgery, where security is a major threat. With the current improvements in wireless communications, Tactile Internet has endorsed a dominant impact. It is regarded as the future huge development which can give current-time regulation in industrial systems,
especially in the field of tele surgery. Even though, in remote-surgery environment the data transfer is subjected to various attack points. Hence, in order to understand the real capacity of safe tele-surgery, it is needed to develop a safe verification and key agreement protocol for tele-surgery.
We offer here an effective, secure and common verification method in the field of biomedical application in the field of robotic tele-operation. The developed protocol ensures safe interaction samidst the surgeon, robotic arm, and the devoted jurisdiction; The results obtained express the
flexibility of the protocol against offline password assuming attacks, replay attacks, imitation attacks, man-in-the-middle attacks, DoS attacks, etc.
An Early Breast Cancer Detection System Using Recurrent Neural Network (RNN) with Animal Migration Optimization (AMO) Based Classification Method
Authors: Prakash S. , Sangeetha K.
Published: January 2022

Breast cancer can be detected using early signs of it mammograms and digital mammography. For Computer Aided Detection (CAD), algorithms can be developed using this opportunities. Early detection is assisted by self-test and periodical check-ups and it can enhance the survival chance
significantly. Due the need of breast cancer’s early detection and false diagnosis impact on patients, made researchers to investigate Deep Learning (DL) techniques for mammograms. So, it requires a non-invasive cancer detection system, which is highly effective, accurate, fast as well
as robust. Proposed work has three steps, (i) Pre-processing, (ii) Segmentation, and (iii) Classification. Firstly, preprocessing stage removing noise from images by using mean and median filtering algorithms are used, while keeping its features intact for better understanding and recognition,
then edge detection by using canny edge detector. It uses Gaussian filter for smoothening image. Gaussian smoothening is used for enhancing image analysis process quality, result in blurring of fine-scaled image edges. In the next stage, image representation is changed into something, which
makes analyses process as a simple one. Foreground and background subtraction is used for accurate breast image detection in segmentation. After completion of segmentation stage, the remove unwanted image in input image dataset. Finally, a novel RNN forclassifying and detecting breast cancer
using Auto Encoder (AE) based RNN for feature extraction by integrating Animal Migration Optimization (AMO) for tuning the parameters of RNN model, then softmax classifier use RNN algorithm. Experimental results are conducted using Mini-Mammographic (MIAS) dataset of breast cancer. The classifiers
are measured through measures like precision, recall, f-measure and accuracy.
Clinical Profile and Angiographic Pattern of Coronary Artery Disease in Young Patients with Acute Coronary Syndrome
Authors: Khan Kamran Ahmed , Khan Muhammad Nauman , Kumar Rajesh , Shah Jehangir Ali , Kumar Dileep , Qayyum Danish , Saghir Tahir , Shaikh Ayaz Hussain , Shakeel Osama Bin , Karim Musa
Published: January 2022

Aim of this study was to determine the clinical profile and angiographic pattern in young patients (≤35 years) who presented with Acute coronary syndrome (ACS) to cardiac catheterization lab of tertiary care. We prospectively recruited all young patients (≤35 years) who presented to our center with ACS from August 2020 to December 2020 and underwent coronary angiography. The primary endpoint was clinical profile including demographics, co-morbidities and angiographic findings. The secondary endpoint was in-hospital and three months mortality. A total of 1742 patients with ACS were presented to our hospital. Out of them 108 (6.2%) were ≤35 years of age. There were 86% Male, 76% fall in age group of 31–35 years. 65% were overweight. 83% were active smoker and 15% were tobacco chewer. 28% were hypertensive, 12% were diabetic and 8% were dyslipidemic. ST elevation myocardial infarction (STEMI) was the most common presentation (91%) with Anterior STEMI was the most common location (70%). Most had single vessel disease (62%) with left anterior descending (LAD) artery being the most common culprit vessel (70%). Proximal LAD was the most common site (62%) with type B lesion being the most common pattern of involvement (44%). In-hospital and at 3 months mortality was 1.9% and 4% respectively. Our findings suggest that young males were most common presenter with ACS, being overweight and smoking were the most common risk factors. Proximal LAD involvement with type B lesion causing anterior STEMI was the most common angiographic finding.
Breast Cancer Detection with Revamped Dataset Using Machine Learning Techniques
Authors: Balaraman Sundarambal , Ramamoorthy Ramesh , Krishnamoorthi Raja
Published: January 2022

Machine learning is a current topic of interest in research and industry, with the implementation of novel strategies all the time. The main purpose of this research activity is to determine the efficiency of machine learning techniques in the detection research of breast cancer. The incidence and mortality of breast cancer in women are increasing day by day. Worldwide, researchers have worked hard to help clinicians provide the best model for detecting diagnosis and breast cancer. In this work, learning UCI machine Wisconsin breast cancer data from a set of databases, model, and analyze the performance of existing work use, compared to the same data set. The dataset is analyzed, and the revamped dataset is constructed by eliminating redundant features and appending new features essential for prediction. Logistic regression, K nearest neighbors (KNN), support vector machine (SVM), decision trees, random forest, XGBoost, using a machine learning algorithm, such as re-organized data set of artificial neural network AdaBoost, 8 one of prediction build the model application (ANN). Standard to analyze the accuracy rate. In the experiment, these classifications have been shown to work for breast cancer with >97% accuracy. Logistic regression, XGBoost and Adaboost, stand on top with 99.28 percent accuracy. The experiment also, the balanced data set of removal outliers and balance, shows that have a significant impact on the model’s prediction performance.
Early Stage Breast Cancer Detection Using Wearable Health Diagnosis System
Authors: Asha Banu S. M. , Meena Alias Jeyanthi K.
Published: January 2022

The most prevalent cancer that threatens women’s life is Breast cancer. According to WHO Statistics in 2020, 2.3 Million Women were diagnosed with Breast cancer and 685000 death rate were disclosed globally. In this paper, Wearable Health Diagnosis System (WHDS) based antenna
for the identification of the early breast cancer is discussed. Conventional methods are limited by their uncomfortable testing setups, panic environment and failure in results. Recently, textile based antenna for microwave imaging stared to work on the detection of the cancer cells at the
earlier stage in breast. WHDS antenna has the requirements of wider bandwidth, high resolution, low Specific Absorption Rate (SAR), bio compatibility, and flexibility. The proposed work is based on the textile antenna using Denim substrate (permittivity = 1.67, thickness = 2 mm) to diagnosis
the Early Breast Cancer Tissues (EBCT). Using the following antenna parameters (return loss, E-filed, H-field and SAR values), the position and malignancy of the EBCT is identified. Since the dielectric properties of the cancer cells are high, the influence of the effective permittivity is
higher on the E-field and SAR. Along with the above parameters, comparison of various substrate materials (Denim, FR4, and RT duroid) were also tested and Denim is selected for our application as it introduces greater reflection co-efficient and wider bandwidth. The proposed antenna is designed
to operate at a frequency of 2–4 GHz. This miniaturised antenna has a volume of 30 × 28 × 2 mm3.