bluuebunny/crossref_metadata_2025 huggingface dataset:
SIRT2-KLF4 Interactions are Critical for Myeloma Survival and Migration
Authors: Lu Chunjuan , Wei Jin
Published: May 2022

Objective. To investigate the roles and possible mechanisms of SIRT2 and KLF4 in the development and progression of myeloma. Methods. Rt-PCR was used to detect SIRT2 in myeloma samples from patients and myeloma cells, the expression level of KLF4 in myeloma cells, and the effect of downregulation of SIRT2 expression on KLF4 expression level. MTT assay and wound-healing assay were used to observe the proliferation and migration of U266cells transient transfected with Sirt2 inhibitors. Results. SIRT2 is highly expressed in myeloma, but KLF4 was down. Downregulation of SIRT2 expression stimulated the expression level of KLF4. Reduced SIRT2 activity results in the release of KLF4 expression, which inhibits the proliferation and migration of myeloma cells. Conclusion. SIRT2-KLF4 combination plays an important role in the occurrence and development of myeloma.
Possible Nonneurological Health Benefits of Ketogenic Diet: Review of Scientific Reports over the Past Decade
Authors: Daria Gołąbek Katarzyna , Regulska-Ilow Bożena
Published: May 2022

The ketogenic diet (KD) has been used since the 1920s as a therapy for drug-resistant epilepsy. Due to the beneficial effects of this diet on the nervous system and the proposed multifaceted effects of ketones on health and disease, researchers have evaluated its use in other nonneurological conditions. The objective of this review was to analyze the most recent papers, which is why meta-analyses were used in which 75% of the studies were from 2012 to 2022. Authors also cited single studies from the last decade that lasted longer than 12 months to assess the long-term benefits of KD. Reports from the past decade have highlighted several significant areas regarding the impact of KD. One of these is the use of very low-calorie ketogenic diet (VLCKD) as an effective possibly safe and patient-motivating component of a long-term weight loss plan. Reports on the positive influence of KD on the health of obese individuals, and the possible resulting validity of its use, should be verified by patients' physical activity levels. A significant number of studies from the last decade evaluate the effect of KD on improving the health of individuals with type 2 diabetes as an effective tool in lowering glycated hemoglobin (Hb1Ac) and required doses of hypoglycemic drugs. The long-term studies indicate a possible beneficial effect of KD on cardiovascular function due to improvement lipid profile, changes in apolipoprotein (Apo) A1, adiponectin, and intercellular adhesion molecule-1 (ICAM-1).
Functional Localizers for Motor Areas of the Brain Using fMRI
Authors: Madkhali Yahia , Aldehmi Norah , Pollick Frank
Published: May 2022

Neuroimaging researchers increasingly take advantage of the known functional properties of brain regions to localize motor regions in the brain and investigate changes in their activity under various conditions. Using this noninvasive functional MRI (fMRI) method makes it possible to identify and localize brain activation. There are many localizers that can be used to identify brain areas, namely, motor areas such as functional localizer, anatomical localizer, or Atlas mask. Eighteen right-handed participants were recruited for this research to test the reliability of five localizers for primary motor cortex (M1), supplementary motor area (SMA), premotor cortex (PMC), motor cerebellum, and motor thalamus. Motor execution task, namely, hand clenching was used to activate M1, SMA, and motor cerebellum. A combined action observation and motor imagery (AOMI) task was used to functionally activate PMC. Finally, a mask based on Talairach coordinates Atlas was created and used to identify the motor thalamus. Our results show that all localizers were successfully activated in the desired regions of interest. Motor execution successfully activated M1, SMA, and motor cerebellum. A novel localizer based on AOMI was successfully activated in PMC, and the motor thalamus mask obtained from the thalamus mask was successfully implemented on each participant. In conclusion, all five localizers tested in this research were reliable and can be used for rt-fMRI neurofeedback research to define the regions of interest.
Corydalis decumbens Can Exert Analgesic Effects in a Mouse Neuropathic Pain Model by Modulating MAPK Signaling
Authors: Chen Yunting , Jiang Zongbin , Zhang Aimin , He Ruilin , Zhou Zenghua , Xu Shengrong
Published: May 2022

Objectives. This study is aimed at investigating the analgesic effect of the administration of Corydalis decumbens (CD) in a mouse model of postherpetic neuralgia (PHN) and at elucidating its mechanism of analgesic action. Methods. Adult Kunming (KM) mice were randomly divided into control, CD, and vehicle-treated groups. Neuropathic pain was induced with a single intraperitoneal injection of resiniferatoxin (RTX). Thermal hyperalgesia was assessed with a hot/cold plate test, and mechanical allodynia was evaluated using von Frey filaments. The activation states of astrocytes, microglia, and the mitogen-activated protein kinase (MAPK) pathway in the spinal cord were determined by immunofluorescence staining and Western blot analysis of Iba-1, GFAP, phospho-p38, and phospho-Jun N-terminal kinase (JNK). Results. RTX diminished thermal sensitivity and gradually increased sensitivity to tactile stimulation. The expression of Iba-1, GFAP, phospho-p38 MAPK, and phospho-JNK was upregulated in the RTX-induced postherpetic neuralgia mouse model. Systemic treatment with CD significantly ameliorated thermal sensitivity and mechanical hyperalgesia and was accompanied by a reduction in the expression of Iba-1 and GFAP and reduced phosphorylation of p38 and JNK. Conclusions. This study suggests that CD is effective at ameliorating mechanical hyperalgesia in PHN mice and that its mechanism of action may involve modulation of MAPK phosphorylation and glial cell activation. Thus, CD may be a promising alternative therapy for PHN.
Neonatal Sepsis in a Resource-Limited Setting: Causative Microorganisms and Antimicrobial Susceptibility Profile
Authors: Acheampong Edna Nai , Tsiase Joseph Adjei , Afriyie Daniel Kwame , Amponsah Seth Kwabena
Published: May 2022

Background. Empiric treatment of suspected neonatal sepsis must be based on data on setting-specific causative pathogens and their respective susceptibilities to antimicrobials, as well as universal treatment guidelines. This approach will ensure better therapeutic outcomes and reduce mortality. Objectives. The objectives of this study were to determine the bacteriological profile and antibiotic susceptibility pattern of isolated microorganisms responsible for neonatal sepsis in a regional hospital in Ghana. Methods. This was a retrospective study that assessed causative microorganisms and antimicrobial susceptibility profiles of neonates suspected of sepsis at the Greater Accra Regional Hospital from January 2018 to December 2019. Blood culture was done using a fully automated BACTEC 9240 blood culture system. Bacteria isolates were identified by Gram staining and conventional biochemical methods. Antimicrobial susceptibility testing was done by Kirby–Bauer’s disc diffusion method, and interpretations were carried out according to clinical and laboratory standards. Culture and antibiotic sensitivity reports were obtained and the data subsequently analyzed. Results. Of 2514 blood samples collected from neonates suspected of neonatal sepsis, 528 (21.0%) of the samples were found to be culture-positive. The majority of these positive cultures were from male neonates (68.9%). A total of 11 different pathogens were isolated, of which Gram-positive organisms had a preponderance of 72.0% over Gram-negative organisms (28.0%). Staphylococcus epidermidis was the most common pathogen identified, accounting for 60.0% of isolates. The most prevalent Gram-negative bacteria were Klebsiella spp. (13.6%). Most Gram-positive microorganisms showed sensitivity to amikacin, meropenem, vancomycin, and piperacillin/tazobactam. Gram-positive isolates were found to be resistant to ampicillin and penicillin, but moderately susceptible to flucloxacillin. Most Gram-negative isolates were sensitive to meropenem. Conclusion. The prevalence of culture-proven sepsis was 21.0%. The most prevalent Gram-negative bacteria were Klebsiella spp. As there is some level of antibiotic resistance observed in the current study, it is necessary for routine microbial analysis of samples and their antibiogram.
Prediction of Severe Injury in Bicycle Rider Accidents: A Multicenter Observational Study
Authors: Wang Il-Jae , Cho Young Mo , Cho Suck Ju , Yeom Seok-Ran , Park Sung Wook , Kim So Eun , Yoon Jae Chol , Kim Yeaeun , Park Jongho
Published: May 2022

Introduction. This study aimed to establish a predictive model that includes physiological parameters and identify independent risk factors for severe injuries in bicycle rider accidents. Methods. This was a multicenter observational study. For four years, we included patients with bicycle rider injuries in the Emergency Department-Based Injury In-depth Surveillance database. In this study, we regarded ICD admission or in-hospital mortality as parameters of severe trauma. Univariate and multivariate logistic regression analyses were performed to assess risk factors for severe trauma. A receiver operating characteristic (ROC) curve was generated to evaluate the performance of the regression model. Results. This study included 19,842 patients, of whom 1,202 (6.05%) had severe trauma. In multivariate regression analysis, male sex, older age, alcohol use, motor vehicle opponent, load state (general and crosswalk), blood pressure, heart rate, respiratory rate, and Glasgow Coma Scale were the independent factors for predicting severe trauma. In the ROC analysis, the area under the ROC curve for predicting severe trauma was 0.848 (95% confidence interval: 0.830–0.867). Conclusion. We identified independent risk factors for severe trauma in bicycle rider accidents and believe that physiologic parameters contribute to enhancing prediction ability.
MiR-205-5p Functions as a Tumor Suppressor in Gastric Cancer Cells through Downregulating FAM84B
Authors: Chen Xi , Zhang Lei , Geng JingBo , Chen Zhong , Cui XiaoPeng
Published: May 2022

MicroRNAs (miRNAs) participate in the formation of multiple diseases, including gastric cancer (GC), through modulating specific targets. Here, we explored the functions and regulatory mechanisms of miR-205-5p in GC. MiR-205-5p levels were detected in GC cells through qRT-PCR. Besides, the role of miR-205-5p in cell proliferation, cell apoptosis, cell cycle, cell invasion, and metastasis was assessed through CCK-8 assay, colony formation, flow cytometry, scratch assay, transwell, and western blot. Moreover, the Starbase website was used to predict the target gene of miR-205-5p, further verified by a dual-luciferase reporter assay. Furthermore, the functional effects of the family with sequence similarity 84 member B (FAM84B) on GC mediated by miR-205-5p upregulation were further investigated. MiR-205-5p expression was decreased in GC cells. Upregulation of miR-205-5p inhibited cell proliferation and metastasis and induced apoptosis and cycle arrest of GC cells. Moreover, FAM84B was predicted and confirmed as a target of miR-205-5p and negatively related to miR-205-5p. Mechanically, FAM84B overexpression partially rescued the functional effects of miR-205-5p upregulation on GC cell progression. This study suggests the potential of miR-205-5p/FAM84B as novel targets for the treatment of GC.
Experimental Study and Microscopic Analysis on Frost Resistance of Iron Ore Tailings Recycled Aggregate Concrete
Authors: Gong Li , Gong Xuelei , Liang Ying , Jia Zhiyuan , Li Yiqiang
Published: May 2022

Freeze-thaw harm is the major factor that reduces the durability of hydraulic concrete buildings at high altitudes and in cold regions. To solve the durability problem of hydraulic buildings in alpine regions, the study prepared sixteen groups of concrete specimens with different replacement ratios of iron ore tailings and recycled aggregate were prepared, and indoor deterioration accelerated tests were designed. Nuclear magnetic resonance (NMR) technology was used to analyze the pore distribution in the structure, and macro indicators of concrete mass loss rate and relative dynamic elastic modulus (RDEM), were selected. Combined with SEM, images, the frost resistance of iron ore tailings sand (IOT), with Recycled aggregate concrete (RAC), was explored. The final analysis shows that when only RCA is replaced, the frost resistance of RAC decreases with the increase of the RCA replacement rate. When only replacing IOT, the frost resistance of IOT concrete with a replacement rate of 50% is better than that of other replacement rates. In addition to ordinary concrete, the combination of 30% iron ore tailings and 30% recycled aggregate concrete (RAC3-IOT3) has good frost resistance. The mass loss of the RAC3-IOT3, specimen increased by 0.09% compared with ordinary concrete. From the microscopic level, with the addition of the dosage of RCA, the number of macropores (0.05∼1 μm) and microcracks (>1 μm) in concrete increased. After replacing the appropriate amount of iron ore tailings, the pore space structure of RAC was improved, and some harmful pores spaces were transformed into harmless pores. However, the combination of excess IOT, and RCA, does not improve the interface transition zone of RCA. From the micromorphology, with an increasing dosage of RCA, the bonding force between cementitious material and sand aggregate weakens and there are more pores. The combination of excess IOT, and RCA, does not improve the interface transition zone of RCA but will accelerate the spalling of surface mortar because of its small fineness. All things considered, RAC3-IOT3 is the most suitable concrete for high altitude and cold areas.
Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation
Authors: Xu Nannan , Wang Xin , Xu Yangming , Zhao Tianyu , Li Xiang
Published: May 2022

Athlete balance control ability plays an important role in different types of sports. Accurate and efficient evaluations of the balance control abilities can significantly improve the athlete management performance. With the rapid development of the athlete training field, intelligent and automatic evaluations have been highly demanded in the past years. This study proposes a deep learning-based athlete balance control ability evaluation method through processing the time-series movement pressure measurement data. An end-to-end model structure is proposed, which directly analyzes the raw data and provides the evaluation results, which largely facilitates practical utilization. A multi-scale feature extraction scheme is employed, by exploring the learned features in different scales. A residual connected neural network architecture is further proposed. By using the short-cut connection, the deep neural network model can be more efficiently trained. Experiments on the real athlete balance control ability tests are carried out for validations. Through comparisons with different related methods, the results show the proposed deep multi-scale residual connected neural network model is well suited for the athlete balance control ability evaluation problem, and promising for actual applications in the real scenarios.
On the 3D Incompressible Boussinesq Equations in a Class of Variant Spherical Coordinates
Authors: Wang Yongxin , Geng Fan , Wang Shu
Published: May 2022

This paper investigates the global stabilizing effects of the geometry of the domain at which the flow locates and of the geometric structure of the solution to the incompressible flows by studying the three-dimensional (3D) incompressible, viscosity, and diffusivity Boussinesq system in spherical coordinates. We establish the global existence and uniqueness of the smooth solution to the Cauchy problem for a full 3D incompressible Boussinesq system in a class of variant spherical coordinates for a class of smooth large initial data. We also construct one class of nonempty bounded domains in the three-dimensional space

ℝ

3

, in which the initial boundary value problem for the full 3D Boussinesq system in a class of variant spherical coordinates with a class of large smooth initial data with swirl has a unique global strong or smooth solution with exponential decay rate in time.
Dynamic Failure Characteristics of Combination Rock under Different Strain Rates: Insights from SHPB Tests
Authors: Li Pingfeng , Huang Mingjian , Lu Junji , Xia Heping , Wu Jinquan , Li Zhengliang
Published: May 2022

In order to investigate the dynamic mechanical behavior of composite rock in deep-buried tunnels, the dynamic impact tests of the combinations with three lithologies (granite-H, cyan sandstone-S1, and red sandstone-S2) and six kinds of composite forms (H-S1, S1-H, H-S2, S2-H, S1-S2, and S2-S1), were carried out in this study. Additionally, the effects of the combination forms and strain rates on the stress-strain curve, peak stress, energy utilization rate (EUR), failure process, displacement field, and failure mode of the composite sample were analyzed. The results show that the peak stresses of all the combinations are linearly and positively correlated with the strain rate. When the strain rate is close, the peak stress and elastic modulus of the combination with front hard and rear soft (FHRS) rocks are larger. Furthermore, the EUR of different combinations is proportional to the incident energy. The EUR of the front soft and rear hard (FSRH) combination is generally higher than that of the FHRS combination. In general, the rock with low strength always fails first in the composite. When the strength disparity between the two rocks of the composite is small, the failure of the composite with FSRH is relatively small, and the main deformation occurs in the rock with low strength. Finally, the fractal dimension of the fragments after the impact of the FSRH combination is larger, i.e., the lumpiness of fragments is closer.
Active Lane-Changing Control of Intelligent Vehicle on Curved Section of Expressway
Authors: Feng Pengfei , Jin Huiqing , Zhao Linfeng , Lu Mingyu
Published: May 2022

In order to improve the intelligent vehicle lane-changing performance, an active lane-changing control algorithm is proposed considering the changes of road curvature and vehicle speed. Firstly, the vehicle dynamics model considering vehicle speed variation and lane-changing safety distance is established, and the expected lane-changing trajectory model under the curved road is designed simultaneously. Then, taking the yaw rate and longitudinal speed as the control objectives of lateral and longitudinal motions, respectively, the sliding-mode variable structure control method based on Lyapunov stability condition is adopted, and the trajectory tracking controller is designed by combining the inverted method to track the desired lane-changing trajectory. Finally, the lane-changing trajectory model and trajectory tracking controller are verified in simulation platform of CarSim/Simulink and hardware-in-the-loop (HIL) test bench. The results show that the proposed trajectory tracking control method can perform the lane-changing behavior well under different road curvatures and vehicle speeds while maintaining high trajectory tracking control accuracy.
Effects of Acupuncture, Moxibustion, Cupping, and Massage on Sports Injuries: A Narrative Review
Authors: Zhang Haoyu , Zhao Mengya , Wu Zugui , Wang Xinna , Jiang Yong , Liang Jiabin , Chen Hanwei
Published: May 2022

With the evolution of society, an increasing number of people have realized the importance of sports on human health. However, participation in sports is a double-edged sword as improperly exercising can lead to injury. Many athletes and patients with sports injuries choose traditional Chinese medicine (TCM) when modern medicine fails to relieve their musculoskeletal symptoms. TCM is a splendid legacy of Chinese civilization whose therapies are effective, economical, and convenient, with some administration by trained patients at home. This review analyzes the literature on the application of acupuncture, moxibustion, massage, and cupping in sports injuries to provide novel ideas for the application of TCM in sports medicine.
Application of Foam Glass-Ceramic Composite Thermal Insulation Material in Traditional Buildings
Authors: Yu Qi
Published: May 2022

In order to solve the application of thermal insulation materials in traditional buildings, a foam glass-ceramic composite thermal insulation material was proposed for the application of traditional buildings. First, the preparation of the hydrated glass matrix was completed by using the colloidal chemical method with sodium water glass, boric acid, calcium bentonite, and fly ash as the main raw materials. Second, using the introduction of crystalline mineral powder fly ash and secondary heat treatment, a low-temperature foam glass-ceramic composite material with lightweight, high strength, good water resistance, and low cost is prepared. Finally, the process parameters such as dehydroxylation heat treatment temperature and holding time involved in the preparation process were explored and optimized. It is proved that the external content of fly ash is 20 wt.% and above, and the external content of boric acid is 1-2 wt.%. The mixed sol has a bulk density of 192–256 kg/m2, a compressive strength of 0.44–0.63 MPa, a weight loss rate of 5.1–7.8 wt%, and a softening coefficient of 0.85–0.95, and thermal conductivity is 0.056–0.064 W/(m·K).
Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features
Authors: Yang Shuang , Shu Chunmei , Hu Haiyou , Ma Guanghui , Yang Min
Published: May 2022

The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into observation group (

n
=
134

) and control group (

n
=
134

). Image recognition algorithm was used for feature extraction, segmentation, and classification of dermoscopic images, and the image recognition and classification algorithm were studied as the performance and accuracy of fusion classifier were compared. The results showed that the classifier was optimized, and the linear kernel accuracy was 85.82%. The PN studied mainly included mixed nevus, junctional nevus, intradermal nevus, and acral nevus. The sensitivity under collaborative training was higher than that under feature training and fusion feature training, and the differences among three trainings were significant (

P
<
0.05

). The sensitivity of the observation group was 88.65%, and the specificity was 90.26%, while the sensitivity and the specificity of the control group were 85.65% and 84.03%, respectively; there were significant differences between the two groups (

P
<
0.05

). In conclusion, dermoscopy under deep learning could be applied as a diagnostic way of PN, which helped improve the accuracy of diagnosis. The dermoscopic manifestations of PN showed a certain corresponding relationship with the type of cases and could provide auxiliary diagnosis in clinical practice. It could be applied clinically.
A smart water grid network for water supply management systems
Authors: Adil Ali Ali , Mohammed Saadi Saadi , Mohammed Mahmood Tameem , A. Mostafa Salama
Published: May 2022

This paper proposes a smart water grids network (SWGN) architecture that combines the advantages of fog computing, internet of things (IoT), long range wide area network (LoRaWAN), and Software-defined networking (SDN). The main aims of the SWG architecture are to optimize data routing and monitor water supply and quality in real-time. SWGN handles a vast amount of data that is collected by IoT devices from different points related to water supply and quality. The data is processed in a distributed way by a number of fog servers that are located at the edge of the network. The fog controllers are deployed at the fog layer in order to take action locally for frequent events. The cloud layer has a cloud controller to take actions globally for infrequent events. The LoRaWAN provides communication technology that allows devices to operate regularly. The SDN technology decouples network traffic to control data routing decisions efficiently. A primitive evaluation under the Mininet emulator, focusing on SDN, shows the feasibility and efficiency of the architecture.
A novel hybrid jellyfish algorithm for minimizing fuel consumption capacitated vehicle routing problem
Authors: Utama Dana Marsetiya , Widjonarko Bahru , Widodo Dian Setiya
Published: May 2022

Distribution is a critical activity that must be carefully planned in order to minimize the company's fuel costs. The hybrid jellyfish (HJF) algorithm is proposed in this study to solve the fuel consumption capacity vehicle routing problem (FCCVRP). This problem's objective function is to minimize fuel consumption costs. The proposed HJF algorithm is used in this study to generate optimal fuel consumption through a population and iteration parameter experiment. The experiment results indicate that the HJF increasing parameter has an effect on reducing the total cost of fuel. Additionally, this study presents an algorithm comparison that demonstrates how effectively the proposed HJF algorithm solves FCCVRP.
Advanced content-based retrieval for digital correspondence documents with ontology classification
Authors: Arief Rifiana , Widodo Suryarini , Bima Kurniawan Ary , Hustinawaty Hustinawaty , Arkan Faisal
Published: May 2022

The growth of digital correspondence documents with various types, different naming rules, and no sufficient search system complicates the search process with certain content, especially if there are unclassified documents, the search becomes inaccurate and takes a long time. This research proposed archiving method with automatic hierarchical classification and the content-based search method which displays ontology classification information as the solution to the content-based search problems. The method consists of preprocessing (creation of automatic hierarchical classification model using a combination of convolutional neural network (CNN) and regular expression method), archiving (document archiving with automatic classification), and retrieval (content-based search by displaying ontology relationships from the document classification). The archiving of 100 documents using the automatic hierarchical classification was found to be 79% accurate as indicated by the 99% accuracy for CNN and 80% for Regex. Moreover, the search results for classified content-based documents through the display of ontology relationships were discovered to be 100% accurate. This research succeeded in improving the quality of search results for digital correspondence documents as indicated by its higher specificity, accuracy, and speed compared to conventional methods based on file names, annotations, and unclassified content.
Outage performance analysis of NOMA over log-normal fading distribution in presence of CSI and SIC imperfections
Authors: Le Chi-Bao , Nguyen Hong-Nhu , Nguyen Huy Hung , Nguyen Thi-Hau , Nguyen Nhan Duc
Published: May 2022

The evolution of wireless communication networks has introduced various applications that require massive device connectivity and high spectral efficiency. Non-orthogonal multiple access (NOMA) technique is one of the most promising technologies to perform efficiently data transmission. The NOMA technique can allocate the same resource block for two users by super-imposing signals. At the receiver, the signals are separated by performing successive interference cancellation (SIC) technique. For efficient data transmission, the fading and shadowing effects of channels also play a pivotal role. Many researches have considered Rayleigh, Rician, Nakagami-m, and other fading channels in various perspectives. In our paper, a system model based on a NOMA network with two users over log-normal fading distribution in the presence of channel estimation errors and SIC imperfections is proposed. The performance is analyzed in terms of outage probability and simulations are performed with the assistance of Monte-Carlo simulations. The obtained results shown the effectiveness in comparison with the traditionally used fading distributions. The same analysis is also performed in various scenarios of power allocation levels, target rates, and imperfections. The transmit SNR and power allocation of the users are important for efficient communication in any fading distribution as shown in this paper.
Design and characterization substrate integrated waveguide antenna for WBANS application
Authors: Abed Mustafa Mohammed Jawad , Nik Abd Malik Nik Noordini , Murad Noor Asniza , Esa Mona Riza Mohd , Ahmad Mohd Riduan , Al Radh Ola Hussein Abed , Abdulbari Ali Abdulateef , Hussein Yaqdhan Mahmood , Al-Dhief Fahad Taha
Published: May 2022

Millimetre-wave frequencies are defined as one of the front-runner contenders for body-centric wireless communication. In this study, low-profile antenna with the substrate integrated waveguide (SIW) has been proposed that operate in the band of the millimetre-wave frequency that has been centred at 60 GHz. The proposed antenna has been implemented with the use of the FR4 substrate with εr and tangent loss of 4.3 and 0.025, respectively. The substrate height and size are 1.5875 mm and 20 mm x 20 mm, respectively. The performance of the antenna is evaluated in off-body (free space) and on-body (human voxel model), through simulation. The proposed antenna has an ultra-wideband (UWB) and a specific absorption rate the maximal (SAR) for (10 g) is 0.0344815 W/kg and for (1 g) is 0.0184723 W/kg. It achieves 74% and 63% efficiency in the off and on-body scenario, respectively. The small antenna with the exceptional matching of impedance, low SAR, broad bandwidth, and good efficiency, a good voltage standing wave ratio good (VSWR), and good front-to-back ratio (FBR). As a result, its characteristics make it one of the best potential candidates for the simultaneous transmission and reception of data at (mm-wave) band for WBAN applications.
Design hybrid filter technique for mixed noise reduction from synthetic aperture radar imagery
Authors: Ali Ekbal Hussain , Reja Ahmed Hameed , Abood Layla H.
Published: May 2022

For military and civilian applications, synthetic aperture radar (SAR) imaging is an essential instrument for obtaining images of the Earth's surface. Speckle noise, a form of noise that is multiplicative, generated by conflicting echoes returned from each pixel, has a significant impact on the SAR picture. On SAR pictures, a hybrid filter for mixed noise reduction is used to remove the mixed noises that are present in the data during capture and transmission. Specifically, speckle noise and salt and pepper noises from SAR images. Both are being worked on at the same time to minimize mixed noise in SAR pictures without revealing edges or other features. This study proposes a technique that combines a hybrid filter derived from a statistics filters with nonlinear functions (SFNF). When comparing to mean, median as no adaptive filters, and frost filter, a lee filter, and fuzzy filters as adaptive filters, this hybrid filter produces good results. MATLAB was used to carry out the simulation. To illustrate the filtering technique's performance, quantitative measurements like signal to noise ratio (SNR) procedure, the mean square error (MSE) method, and edge measurement (β) mechanization are used.
Intelligent multiperiod wind power forecast model using statistical and machine learning model
Authors: Galphade Manisha , Nikam Valmik , Banerjee Biplab , Kiwelekar Arvind
Published: May 2022

With the rapidly increasing integration of wind energy into the modern energy grid system, wind energy prediction (WPP) is playing an important role in the planning and operation of an electrical distribution system. However, the time series data of wind energy always has nonlinear and non-stationary characteristics, which is still a great challenge to be accurately predicted. This paper proposes the intelligent wind power forecast model and evaluates to forecast long term, short term and medium term wind power. It uses statistical and machine learning approach for finding the best model for multiperiod forecasting. The model has been tested on Sotavento wind farm historical data, located in Galicia, Spain. The experimental results show that random forest has better accuracy than other models for long term, short term and medium term forecasting. The power prediction accuracy of the proposed model has been evaluated on RMSE, and MAE metrics. The proposed model has shown better accuracy for medium term and long term forecast. The accuracy is improved by 72.12% in case of medium term and 50.49% in case of long term.
Design an efficient internet of things data compression for healthcare applications
Authors: Najah Kahdim Ahmed , Ebady Manaa Mehdi
Published: May 2022

The internet of things (IoT) is an ecosystem of connected objects that are accessible and available through the internet. This "thing" in the IoT could be a sensor such as a heart monitor, temperature, and oxygen rate in the blood. These sensors produce huge amounts of information that lead to congestion and an effect on bandwidth in the IoT network. In this paper, the proposed system is based on the Zstandard compression algorithm to compress the sensor data to minimize the amount of data transmitted from the IoT level to the fog level and decrease network overloading. The proposed system was evaluated using compression ratio, throughput, and latency time for healthcare applications. The result showed better calculation through decreased response time and increased throughput for transmitted data compared with the case of non-compressed data. It showed the compression data ratio about 70% of orignial data, maximum number of IoT sensor reads as 100, throughput is 85.43 B/ms, and fog processing delay is 6.25 ms.
Compreensão da diarreia em pacientes colecistectomizados: artigo de revisão bibliográfica
Authors: Vilela Debora Gomes Junqueira , Santos Andressa Morgenstern , Silva Thais Cristine Souza , Pedreira Raimundo Celio , Moraes Vanessa Regina Maciel Uzan de
Published: May 2022

Introdução: O presente trabalho contempla a área da gastroenterologia, sendo a principal afecção a litíase biliar. Um dos tratamentos utilizados para essa doença é a colecistectomia, a qual pode ter a diarreia como um dos sintomas no pós-operatório. Esta complicação é alvo de investigação dos profissionais da saúde e motivo de dúvidas dos pacientes acerca de sua epidemiologia, fisiopatologia, manifestações clínicas associadas, diagnóstico e de seu tratamento. Objetivos: Este estudo tem como objetivo rever sistematicamente a literatura acerca dos aspectos da diarreia pós-colecistectomia e esclarecer as dúvidas sobre o assunto, contribuindo com a sociedade acadêmica e médica, afim de melhorar a qualidade de vida dos pacientes com essa manifestação clínica. Métodos: Trata-se de uma revisão bibliográfica, em que foram utilizadas as bases de dados: PubMed, SciELO e Google Acadêmico. Para tanto, foram levantados 124 artigos, dos quais 24 foram selecionados de acordo com os critérios de elegibilidade. Conclusão: A presente revisão permitiu compreender como sucede o mecanismo fisiopatológico, a epidemiologia, manifestações clínicas associadas, o diagnóstico e o tratamento da diarreia nos pacientes pós-colecistectomia. No presente trabalho tornamos evidente esse assunto que requer mais estudo, pois ainda há muitas controversas acerca dele, além da prevalência do sintoma em pacientes pós- colecistectomia.
O Poder e a Vigilância: o nascimento da prisão decorrente da metamorfose punitiva e reflexões do sistema penitenciário a partir do pensamento foucaultiano
Authors: Sodré Catarina Ribeiro
Published: May 2022

O objetivo principal da pesquisa é a análise do sistema punitivo a partir da visão do filósofo francês Michel Foucault. Neste artigo, pretende-se verificar as alterações referentes às penas aplicadas ao indivíduo no decorrer do tempo, bem como retratar a contribuição do poder, da disciplina e da vigilância neste processo. Procura-se evidenciar que o indivíduo, por meio de práticas de vigilância, passou a ser moldado e transformado em um corpo dócil e útil, passível de modificação e economicamente produtivo para o Estado. Além disso, aborda-se a problematização em torno da individualização, normalização, disciplinarização e formação de poderes e saberes controladores.
Como o direito à cidade poderia ressignificar a experiência da população em situação de rua durante a pandemia da Covid-19?
Authors: Araujo Cicero Italo Rodrigues
Published: May 2022

O presente artigo tem como objetivo apresentar, à luz da crise sanitária e econômica causada pela pandemia da COVID-19, um breve panorama acerca da experiência da população em situação de rua, especialmente na cidade de São Paulo. Para isso, faz-se necessário uma retomada histórica acerca do desenvolvimento dos centros urbanos e, por conseguinte, a retirada das pessoas que antes ali viviam. Além de o estudo olhar em perspectiva a intensificação das desigualdades sociais e as dificuldades encontradas para com essa população no enfrentamento da pandemia, ressalta-se alguns dados acerca do aumento da quantidade de pessoas que vivem atualmente em situação de rua no País. Por fim, busca analisar como o direito à cidade poderia servir para atenuar os efeitos dessa crise, haja vista que as reivindicações por habitação, saneamento, transporte e reformulação dos espaços urbanos são pautas históricas dessa população.
Clinical Impact of Heart Team Decisions for Patients With Complex Valvular Heart Disease: A Large, Single‐Center Experience
Authors: Burzotta Francesco , Graziani Francesca , Trani Carlo , Aurigemma Cristina , Bruno Piergiorgio , Lombardo Antonella , Liuzzo Giovanna , Nesta Marialisa , Lanza Gaetano Antonio , Romagnoli Enrico , Locorotondo Gabriella , Leone Antonio Maria , Pavone Natalia , Spalletta Claudio , Pelargonio Gemma , Sanna Tommaso , Aspromonte Nadia , Cavaliere Franco , Crea Filippo , Massetti Massimo
Published: May 2022

Background

A multidisciplinary approach might be pivotal for the management of patients with valvular heart disease (VHD), but clinical outcome data are lacking.

Methods and Results

At our institution, since 2014, internal guidelines recommended heart team consultations for patients with VHD. The clinical/echocardiographic characteristics, treatment recommendations, performed treatment, and early clinical outcomes of consecutive, hospitalized patients with VHD undergoing heart team evaluation were collected. Surgical risk was prospectively assessed by the EuroSCORE II and STS‐PROM. The primary end point of the study was early mortality. A total of 1004 patients with VHD with high clinical complexity (mean age, 75 years; mean EuroSCORE II, 9.4%; mean STS‐PROM, 5.6%; 48% ischemic heart disease; 29% chronic kidney disease, 9% oncologic/hematologic diseases) were enrolled. The heart team recommended an interventional treatment for 807 (80%) patients and conservative management for 197 (20%) patients. Management crossovers occurred in only 5% of patients. The recommended intervention was cardiac surgery for 230 (23%) patients, percutaneous treatment in 516 (51%) patients, and hybrid treatment in 61 (6%) patients. Early mortality occurred in 24 patients (2.4%) and was independently predicted by aortic stenosis, left ventricular ejection fraction, pulmonary artery systolic pressure, and conservative management recommendation. In patients referred to treatment, observed early mortality (1.7%) was significantly lower (
P
<0.001) than expected on the bases of both the STS‐PROM (5.2%) and EuroSCORE II (9.7%).

Conclusions

Within the limitations of its single‐center and observational design, the present study suggests that heart team–based management of patients with complex VHD is feasible and allows referral to a wide spectrum of interventions with promising early clinical results.
Total Cardiovascular and Limb Events and the Impact of Polyvascular Disease in Chronic Symptomatic Peripheral Artery Disease
Authors: Szarek Michael , Hess Connie , Patel Manesh R. , Jones W. Schuyler , Berger Jeffrey S. , Baumgartner Iris , Katona Brian , Mahaffey Kenneth W. , Norgren Lars , Blomster Juuso , Rockhold Frank W. , Hsia Judith , Fowkes F. Gerry R. , Bonaca Marc P.
Published: May 2022

Background

Peripheral artery disease (PAD) is associated with heightened risk for major adverse cardiovascular and limb events, but data on the burden of risk for total (first and potentially subsequent) events, and the association with polyvascular disease, are limited. This post hoc analysis of the EUCLID (Examining Use of Ticagrelor in Peripheral Artery Disease) trial evaluated total cardiovascular and limb events among patients with symptomatic PAD, overall and by number of symptomatic vascular territories.

Methods and Results

In the EUCLID trial, patients with symptomatic PAD (lower extremity revascularization >30 days before randomization or ankle‐brachial index ≤0.80) were randomized to treatment with ticagrelor or clopidogrel. Relative effects on total events (cardiovascular death; nonfatal myocardial infarction and ischemic stroke; acute limb ischemia, unstable angina, and transient ischemic attack requiring hospitalization; coronary, carotid, and peripheral revascularization procedures; and amputation for symptomatic PAD) were summarized by hazard ratios (HRs), whereas absolute risks were estimated by incidence rates and mean cumulative functions. Among 13 885 randomized patients, 7600 total cardiovascular and limb events occurred during a median 2.7 years of follow‐up, translating to 60.0 and 62.5 events per 100 patients through 3 years for the ticagrelor and clopidogrel groups, respectively (HR, 0.96; 95% CI, 0.89–1.03;
P
=0.27). Among 1393 patients with disease in 3 vascular territories, event accrual rates through 3 years for the ticagrelor and clopidogrel groups were 87.3 and 97.7 events per 100 patients, respectively. Absolute risk reductions for ticagrelor relative to clopidogrel at 3 years were −0.2, 6.7, and 10.3 events per 100 patients for 1, 2, and 3 affected vascular territories, respectively (
P
interaction
=0.09).

Conclusions

Patients with symptomatic PAD have nearly double the number of total events than first events, with rates reflecting the number of affected vascular territories. These findings highlight the clinical relevance of quantifying disease burden in terms of total events and the need for long‐term preventive treatments in high‐risk patient populations.

Registration

URL:
https://clinicaltrials.gov/
; Unique identifier: NCT01732822.
Understanding Changes in the Tropical Circulation under Global Warming Using a Cloud-Resolving Model and a Conceptual Model
Authors: Neogi Sramana , Singh Martin S.
Published: May 2022

A cloud-resolving model (CRM) is used to investigate how a prototype tropical circulation driven by a sea surface temperature (SST) contrast changes in a warmer climate. The CRM is used to simulate a region of the atmosphere with a positive SST anomaly, and the large-scale circulation in this region is represented using the weak temperature gradient (WTG) and damped gravity wave (DGW) parameterizations, where the large-scale vertical velocity within the domain is related to the deviation of the simulated density profile from a reference profile representative of the tropical mean state. The behavior of the circulation in response to an increase in SST of both the domain and reference state (i.e., uniform warming) is examined. While the vertical velocity shows an increase in its maximum strength with warming, its value in the lower to midtroposphere decreases. Since the water vapor concentration is largest in the lower troposphere, this leads to a dynamic weakening of precipitation under warming. To understand these results, a simple model for the thermodynamic structure of a convecting atmosphere based on a bulk entraining plume is employed. The model uses a fixed entrainment rate and the relative humidity profiles from the CRM to predict the temperature profiles of the domain and reference state. The vertical velocity profiles calculated from these predicted temperature profiles reproduce important aspects of those simulated with the CRM. This simple modeling framework reveals that the effect of entrainment is crucial to understanding the dynamic response of precipitation to warming, providing a stepping stone to understanding the factors driving changes to the tropical precipitation distribution in a future warmer climate.
Breakdown 2.0? Systemic Blockages in Late-Stage Statism and Late-Stage Liberal Capitalism
Authors: Stalder Felix
Published: May 2022

Castells’ analysis of the breakdown of Soviet statism is possibly more relevant now than when it was written. By identifying systemic blockages to necessary societal transformation—then from industrialism to informationalism—he offers a framework to analyze the contemporary crisis of liberal democracy. Then and now, the challenges are caused by the system’s inability to organize the complexity created by itself which creates more and more internal contradictions. Two current challenges threatening the stability of the liberal democracy are rising social inequality and the crossing of geophysical boundaries of the earth as an ecological system. The inability to address these challenges is related to systemic blockages within liberal democracies. Parallels to the late Soviet Union are drawn without predicting outcomes.
Colonic Trichobezoar Causing Acute Large Bowel Obstruction
Authors: McCullers Michelle R. , Coutsoumpos Alexandros , Chiu Jeffrey C. , Profeta Bernadette C.
Published: May 2022

A trichobezoar is a solid mass of undigested hair that accumulates in the gastrointestinal tract that is typically associated with trichotillomania and trichophagia. Most documented cases are reported to be found in the stomach and small intestine. We report a case of a complete large bowel and small bowel obstruction secondary to a trichobezoar in an 81-year-old male with abdominal pain for one month. He presented to the emergency department with sudden onset nausea, vomiting, constipation, and severe abdominal pain, prompting him to come to the emergency department. CT demonstrated a mechanical obstruction with a transition point at the splenic flexure with pneumatosis. He was taken for urgent exploratory laparotomy, where a colotomy was made and the obstructive intraluminal mass in the transverse colon was identified and removed, and a transverse colostomy was matured. Subsequent pathology revealed the mass as hair and fecal material, confirming a diagnosis of colonic obstruction due to trichobezoar.