bluuebunny/crossref_metadata_2025 huggingface dataset:
An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics
Authors: Wang Wei , Yu Shiqi , Cheng Suiying , Liu Kaixia , Jia Shuang
Published: May 2022

With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and inaccurate prediction of future development, which affect the rational allocation of tourism resources. In order to improve the distribution of tourism resources and better predict the development of tourism professional villages, it is necessary to make comprehensive judgment and analysis, especially the analysis of indicators such as the prediction and development judgment of tourism professional villages. This paper discusses the optimization analysis of the agglomeration of tourism specialized villages by backpropagation (BP) neural network and system dynamics model, analyzes the system structure of the agglomeration factors of tourism specialized villages, and promotes the intelligent integration of the agglomeration factors. The development of clusters of professional villages promotes data integration among resources, economy, society, and other elements and presents the characteristics of big data. As the level of concentration of professional villages increases, the complexity of the associated factors also increases, which increases the difficulty and effectiveness of tourism analysis. In view of this situation, taking mountain tourism as the research object, this paper proposes an improved system dynamics model based on BP, extracts features from cross factor (resource, economic, and social) data, and optimizes the relationship between professional village agglomeration and various factors. The MATLAB simulation results show that based on the improved system dynamics analysis, the simplification rate of (resources, economy, and society) data can be controlled at more than 24%, the degree of agglomeration is more than 95%, and the construction time of the relationship map of related factors is less than 40 s. Therefore, the analysis method proposed in this paper is suitable for the calculation of the agglomeration of tourism professional villages in the mountain area and can meet the needs of the development of tourism professional villages in the mountain area.
Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates
Authors: Xia Baizhan , Luo Hao , Shi Shiguang
Published: May 2022

Defect recognition plays an important part of panel inspection, and most of the current manual inspection methods are used, but the recognition efficiency and recognition accuracy are low. The Fast-Convolutional Neural Network (Faster R-CNN) algorithm is improved, and a surface defect detection algorithm based on the improved Faster R-CNN is proposed. Firstly, the algorithm improves the bilateral filtering algorithm to smooth the image texture background. Subsequently, a feature pyramid network with a shape-variable convolutional ResNet50 network can be applied to acquire defect semantic feature maps to improve the network’s ability to express the features of multiscale defects while solving the difficulty problem of many types of defects and variable shapes. To obtain more accurate defect localization information, the algorithm in this paper uses the Region of Interest Align (ROI Align) algorithm instead of the crude Region of Interest Pooling (ROI Pooling) algorithm. Then, an improved attention region recommendation network is used to improve the focus of the model on plate defects and suppress the features of complex background. Finally, a K-means algorithm is added to cluster the defect data to derive anchor frames that are better adapted to the plate defects. In this paper, a dataset containing 3216 images of surface defects of plate metal is made by acquiring surface defect images from the production site of the plate metal factory, which mainly include various defect types. This dataset is used to train and test the algorithm model of this paper, and the results of detection accuracy and detection speed are compared with those of other algorithms, which prove that the algorithm of this paper can achieve real-time detection of plate defects with high detection accuracy.
Thermal Analysis and Rigid-Flexible Coupling Dynamics of a Satellite with Membrane Antenna
Authors: Liu Xiang , Cai Guoping
Published: May 2022

In this paper, the thermal analysis of a membrane antenna structure is performed, and then, the rigid-flexible coupling dynamic modeling and control of the membrane-antenna-satellite system are studied with the thermal stress considered. The thermal analysis model of the membrane antenna structure is derived based on the finite element method by discretizing the structure into 1D and 2D thermal elements. Considering the thermal stress, the vibration modes of the membrane antenna structure are obtained, and the rigid-flexible coupling dynamic model of the membrane-antenna-satellite system is derived based on the hybrid coordinate method. To reduce the vibration of the membrane antenna structure caused by the attitude maneuver, the control command is designed based on the component synthesis vibration suppression (CSVS) method. Simulation results show that the dynamic properties of the membrane antenna structure are affected significantly by the space thermal environment, the vibration of the membrane antenna structure can be suppressed effectively by the presented CSVS controller, and the accuracy of the attitude maneuver will be improved significantly by the proposed control strategy.
Preservative Effect of Ginger Root (Zingiber officinale R.) Extract in Refined Palm Olein Subjected to Accelerated Thermal Oxidation
Authors: Tonfack Djikeng Fabrice , Womeni Hilaire Macaire , Karuna Mallampalli Sri Lakshmi , Tiencheu Bernard , Achidi Aduni Ufuan , Linder Michel , Prasad Rachapudi Badari Narayana
Published: May 2022

Oils and fats are susceptible to the oxidation of their unsaturated fatty acids during processing, storage, or handling. Oxidation reactions lead to serious damages to oil quality that makes it to be rejected by consumers for health issues and industries that might undergo financial challenges. To limit these damages, chemically synthesized antioxidants have been added to oils and fats as preservatives. However, these were reported not to be healthy and natural substitutes extracted from plant have been the main focus of many researchers and industries these recent years. This study aimed at evaluating the preservative effect of ginger root extracts in inhibiting palm olein alteration during accelerated air-dried oven storage at 180°C. The natural antioxidants were added to palm olein at the concentrations of 200, 600, 1000, 1400, and 1800 ppm and kept in the air-dried oven for six days at 180°C (daily heating was 4 h). Butylated hydroxytoluene (BHT) was used as positive control and oil with no additive functioned as the negative one. Oil samples were collected from the oven after every 2 days for analysis. The quality parameters including the peroxide value (PV), the p-anisidine value (p-AV), the total oxidation value (TOTOX), the acid value (AV), the thiobarbituric acid value (TBA), and the iodine value (IV) were determined. The changes in the fatty acid composition of palm olein were characterized by gas chromatography coupled to a flame ionization detector (GC/FID). The ginger extract was found to be effective in delaying palm olein alteration during processing. Extract efficiency was concentration-dependent and was better than that of the control and the sample supplemented with butylated hydroxytoluene (BHT). Therefore, ginger root extract can be an ideal alternative to synthetic antioxidants used in palm olein.
A Comparative Study between Postoperative Analgesia of Fascia Iliaca Compartment Block and Anterior Quadratus Lumborum Block in Proximal Femur Fracture
Authors: Abd Elmaksoud O. S. M. , Elansary S. E. M. , Fahmy N. G. , Hussien R. M.
Published: May 2022

Elderly patients with various comorbidities are more likely to suffer from proximal femur fractures. It is also a painful fracture, and poor pain management can have serious physiological and psychological consequences, such as acute delirium. Purpose. The aim of this study is to compare the efficacy of ultrasound-guided transmuscular (anterior) quadratus lumborum block (QLB) versus infrainguinal fascia iliaca compartment block (FICB) in proximal femur fractures for postoperative analgesia. Patient-reported pain on the visual analogue scale (VAS), analgesic demand, and ambulation were the key factors. Patients and Methods. This prospective, randomised trial was done after receiving approval from the institute’ study ethical committee. In this study, ultrasound-guided infrainguinal fascia iliaca compartment block was compared to ultrasound-guided anterior quadratus lumborum block using 50 ml of bupivacaine 0.25%, with a maximum dose of 2.5 mg/kg at the end of surgery after spinal anaesthesia in 128 patients (64 patients in each group). Nalbuphine was given as rescue analgesia if VAS >3. Our 1st outcome was the first rescue analgesia and total analgesic consumption in the 1st 24 hours; the 2nd outcome was the time patients started to ambulate. Results. Postoperative pain perception was substantially greater in the FICB group starting from 30 min (P value 0.022) till 24 hours (

P

value <0.001), and they received a considerably larger total narcotic dose (14.1 ± 3.5) than patients in the QLB group (7.9 ± 3.4),

P

value (<0.001

∗

). The time required to achieve first rescue analgesia was much less in the FICB group (8.5 ± 2.2) compared to the QLB group (14.1 ± 4.5),

P

value (<0.001

∗

), and they took much longer to ambulate (22.3 ± 4.8) when compared to the QLB group (20.1 ± 4.6),

P

value (0.011

∗

). Hypotension (1.6%) was detected mainly in the QLB group, whereas poor fascial separation (1.6%) was observed only in the FICB group. There were no significant differences in complications between both the FICB and QLB groups. Conclusion. Patients receiving postoperative anterior QL block for proximal femur fracture demonstrated delayed first rescue analgesia and lower total nalbuphine consumption with early ambulation than patients who received FICB.
Ipsilateral Simultaneous Low-Energy Multiple Upper Limb Fractures in an Elderly Patient: Case Report and Review of the Literature
Authors: Aouad Dany , Kortbawi Rabih , Daher Mohammad , Nehme Alexandre , Moucharafieh Ramzi , Badra Mohammad
Published: May 2022

Traumatic injuries of the upper limb can result in variant fracture combination. This article discusses a rare injury combination including ipsilateral proximal and distal humerus fractures alongside a distal radius fracture. The mechanism of the fall is unknown, but the patient being old with such a complex injury, one can only assume that osteoporosis played a major role. Open reduction and internal fixation was opted for the distal humerus and radius fractures, and percutaneous pinning was done for the proximal humerus fracture. Surgery is an option to each one of these injuries with different techniques available for managing such an association, with emphasis made on osteoporosis workup to help prevent such complex injuries.
Affine Connection Representation of Gauge Fields
Authors: Man Zhao-Hui
Published: May 2022

There are two ways to unify gravitational field and gauge field. One is to represent gravitational field as principal bundle connection, and the other is to represent gauge field as affine connection. Poincaré gauge theory and metric-affine gauge theory adopt the first approach. This paper adopts the second. In this approach, (i) gauge field and gravitational field can both be represented by affine connection; they can be described by a unified spatial frame. (ii) Time can be regarded as the total metric with respect to all dimensions of internal coordinate space and external coordinate space. On-shell can be regarded as gradient direction. Quantum theory can be regarded as a geometric theory of distribution of gradient directions. Hence, gauge theory, gravitational theory, and quantum theory all reflect intrinsic geometric properties of manifold. (iii) Coupling constants, chiral asymmetry, PMNS mixing, and CKM mixing arise spontaneously as geometric properties in affine connection representation, so they are not necessary to be regarded as direct postulates in the Lagrangian anymore. (iv) The unification theory of gauge fields that are represented by affine connection can avoid the problem that a proton decays into a lepton in theories such as

S
U

5

. (v) There exists a geometric interpretation to the color confinement of quarks. In the affine connection representation, we can get better interpretations to the above physical properties; therefore, to represent gauge fields by affine connection is probably a necessary step towards the ultimate theory of physics.
Settlement Prediction under a Combined Vacuum and Surcharge Preloading in New Reclaimed Land
Authors: Wei Yingjie , Jie Yuxin , Liu Huancun
Published: May 2022

Rapid settlement assessment in new reclaimed land is important to follow-up engineering construction. Vacuum-surcharge preloading combined with prefabricated vertical drains (PVDs) is a high-efficient and widely used reclaimed soil-reinforced method. This work focuses on micro-macro mechanism of vacuum and surcharge preloading, and the settlement characteristics of subsoil subjected to vacuum-surcharge pressure are discussed. The surcharge preloading is applied to soil particles directly by vertical stress, and the effective stress increases directly by direct contact among particles. However, vacuum pressure increases the effective stress and decreases the pore pressure at the same time. In new reclaimed land, the proposed method is working on the assumption that the new reclaimed land full of water with particles arranging in a loose state of simple cube (SC) way before treatment, while a dense state of terse tetrahedron (TH) way, a stable structure of soil, after treatment. An approach for calculating the final settlement of new reclamation land is derived in two-dimensional (2D) and three-dimensional (3D) perspective, respectively. Meanwhile, this method has been preliminarily applied to two case histories reported in the literature. Results show that 2D estimation method might be more useful for the preliminary assessment of settlement under a combined vacuum and surcharge preloading in new reclaimed land.
Antinociceptive Effects and Interaction Mechanisms of Intrathecal Pentazocine and Neostigmine in Two Different Pain Models in Rats
Authors: Huang Huiying , Bai Xiaohui , Zhang Kun , Guo Jin , Wu Shaoyong , Ouyang Handong
Published: May 2022

Background. Pentazocine produces a wide variety of actions in the treatment of perioperative analgesia. Neostigmine is a cholinesterase inhibitor used to antagonize the residual effects of muscle relaxants and also produces an analgesic effect. Objectives. To investigate the analgesic effects of intrathecally injected pentazocine and neostigmine and their interaction. Methods. Sprague–Dawley rats were used to test the analgesic effect of pentazocine and neostigmine using the paw formalin pain model and the incision mechanical allodynia model. Pentazocine (3, 10, 30, and 100 μg), neostigmine (0.3, 1, 3, and 10 μg) or a pentazocine-neostigmine mixture were separately injected to evaluate their antinociceptive effects alone on the treatment groups. The corresponding control group received an intrathecal injection containing the same volume of saline. The formalin pain test, or the plantar incision pain behavior test were performed 30 minutes later. Isobolographic analysis was used to evaluate the interaction between pentazocine and neostigmine. Intrathecally administered selective mu-opioid receptor antagonist CTAP, selective kappa-opioid receptor antagonist nor-Binaltorphimine (nor-BNI), nonselective opioid receptor antagonist naloxone, and muscarinic acetylcholine receptor antagonist atropine were also used to test the possible interaction mechanism. These antagonists were used 30 minutes before the pentazocine and neostigmine mixtures which were intrathecally injected. Results. Intrathecally administered pentazocine (3, 10, 30, and 100 μg) and neostigmine (0.3, 1, 3, and 10 μg) alone had a marked dose-related impact on suppressing the biphasic responses in the formalin test. Pentazocine (3, 10, 30, and 100 μg) and neostigmine (0.3, 1, 3, and 10 μg) alone attenuated the mechanical allodynia in a plantar incision model in a dose-dependent manner. Isobolographic analysis revealed that the mixture of intrathecal pentazocine and neostigmine synergistically decreased both phase I and II activity in the formalin test and mechanical allodynia in the plantar incision model. Pretreatment of intrathecally administered nor-BNI, naloxone, atropine, but not CTAP, antagonized the analgesic effect of the pentazocine-neostigmine mixture. Conclusions. All of these results suggest that the combined application of pentazocine and neostigmine is an effective way to relieve pain from formalin and acute incision mechanical allodynia. The synergistic effect between pentazocine and neostigmine is mostly attributed to the kappa-opioid receptor and the cholinergic receptor in the spinal cord.
Control Mechanism of Virus Propagation in Wireless Sensor Networks Based on Analytic Hierarchy Process
Authors: Jiang Lurong , Pan Hangyi , He Jiawang , Li Renwang , Xu Changguo , Xu Qiaoyu , Dai Yanyun , Dong Fang , Tong Jijun
Published: May 2022

The research on virus propagation process and control method in wireless sensor networks (WSNs) is one of the essential challenges of network security. This paper proposes a virus control mechanism of degree, betweenness centrality, and k-core-based analytical hierarchy process (DBC-AHP) for WSNs. According to the topology of WSNs, the virus control mechanism uses the DBC-AHP to identify the crucial nodes of the network. It uses the way of crucial nodes’ self-disconnection to suppress the spread of the virus, to improve the network security. In this paper, the effectiveness of the virus control mechanism based on the DBC-AHP is verified by comparing and analyzing the effect of four different crucial node recognition algorithms. With the research of virus control mechanisms in various network environments, it is found that the average degree of nodes, the communication radius of nodes, and the probability of virus infection can affect the inhibition effect of the virus control mechanism. Furthermore, the inhibition effect of virus control mechanisms is studied under the condition with/without MAC mechanism.
A Critical Overview of Systematic Reviews and Meta-Analyses of Acupuncture for Female Stress Urinary Incontinence
Authors: Shi Hongshuo , Zhao Leizuo , Cui Lirong , Wang Zicheng , Wang Dan , Liu Pulin , Si Guomin , Guo Dong , Liu Wenbin
Published: May 2022

Objectives. As a urinary dysfunction disorder, stress urinary incontinence (SUI) is more common in women than in men. Acupuncture, a traditional minimally invasive technique, has potential efficacy in the treatment of SUI. The purpose of this overview is to critically assess the available evidence on acupuncture for the treatment of SUI in women. Methods. Two researchers searched seven databases for systematic reviews (SRs)/meta-analyses (MAs) of randomized controlled trials (RCTs) on acupuncture for SUI. Two researchers assessed the included SRs/MAs using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2), the Risk of Bias in Systematic (ROBIS) scale, the list of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Results. Eight published SRs/MAs were included in our overview. According to the results of the AMSTAR-2 assessment, all SRs/MAs were of very low quality. According to the ROBIS evaluation results, no SR/MA was assessed as low risk of bias. According to the results of the PRISMA checklist assessment, no SR/MA was fully reported on the checklist. According to GRADE, a total of 27 outcomes extracted from the included SRs/MAs were evaluated, and only 1 was rated as high quality. Conclusions. Acupuncture may be an effective and safe complementary treatment for SUI in women. However, further standard and comprehensive SRs/MAs and RCTs are needed to provide an evidence-based medical rationale for this.
Study on Strength Theory Effect of Plastic Zone Distribution of Roadway Surrounding Rock
Authors: Zhou Pei , Wu Peng
Published: May 2022

The plastic zone of surrounding rock is an important basis for evaluating the stability of roadway, and the distribution of plastic zone is closely related to the strength theory. The equation of boundary line of plastic zone is derived by using the approximate plastic condition method. According to specific parameters, the plastic zone is calculated. When the lateral pressure coefficient increases from 0.3 to 1, almost all the plastic zones calculated by different strength criteria have four shapes: butterfly, curved rectangle with concave horizontal direction and convex vertical direction, approximate ellipse, and circle, but the butterfly shape based on DP1 is not obvious. There are differences in the maximum plastic radius calculated by different strength criteria with the same lateral pressure coefficient from large to small: DP3 criterion, DP2 criterion, Mohr–Coulomb criterion/UST (b = 0)/DP5 criterion, UST (b = 0.25), DP4 criterion, UST (b = 0.5), UST (b = 0.75), Matsuoka–Nakai criterion, UST (b = 1), Mogi–Coulomb criterion, Lade–Duncan criterion, and DP1 criterion. With the increase in lateral pressure coefficient, the difference between the results calculated by different strength criteria is smaller. When K0 = 0.3, the maximum plastic radius is distributed at 43°∼47°. The results of this paper show that the strength theory effect of plastic zone distribution cannot be ignored, which enriches the theory of approximate plastic condition method and can provide an important reference for roadway stability evaluation and support design.
Soil Properties Mediated by Topography Influence Carbon Stocks in a Teak Plantation in the Deciduous Forest Zone of Ghana
Authors: Kumi Jones Agyei , Ansong Michael , Asante Winston , Kyereh Boateng
Published: May 2022

Recent estimates indicate that over 291 million hectares of the Earth’s land area are occupied by forest plantations, representing 7% of the world’s forest area and 2% of the world’s land area. In Ghana, a substantial amount of degraded land found in hilly areas has been used to establish teak plantations for commercial wood and carbon benefits. Information on the potential influence of topography and soil properties on tree growth and carbon stocks in these plantations is however limited. The study was carried out to assess the influence of elevation on tree growth parameters and carbon stocks in a 7-year-old teak stand and also determined the differences in soil properties along the elevation gradient and its influence on biomass and carbon stocks. Although stand density was statistically similar for the three elevations, tree, diameter, and basal area significantly differed among the three elevations. They were higher at the valley than the mid-slope and the summit. The aboveground biomass and belowground biomass were also significantly higher at the valley compared to the mid-slope and summit. Measured SOC and CEC values between the three elevations showed no significant difference while a positive significant correlation between soil depth and biomass along the altitudinal gradient was observed. Overall, the mean percentage of nitrogen in the soil, pH, potassium, sodium levels, hydrogen, and aluminum varied significantly among the three elevations. Our study suggests that in mountainous areas teak stands in valleys are likely to produce higher biomass and carbon stocks than those in higher elevations; therefore, for better accuracy in biomass and carbon stocks estimations, site elevation should be taken into consideration during carbon stock assessments.
E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining
Authors: Yang Hui , Zheng Zhuohang , Sun Chu
Published: May 2022

China Internet plus agriculture was first put forward in 2015 by the Chinese government’s work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural products. The combination of agricultural product marketing and e-commerce effectively reduces the intermediate links of agricultural product sales. Many e-commerce professional villages have sprung up in some rural areas across the country, and the number of rural e-commerce stores has continued to grow. At this stage, rural e-commerce has become a new way of agricultural trade, and rural e-commerce has formed a unique rural e-store. At present, the e-commerce market share of agricultural products in rural stores is very large, and its advantages are favored by the government, scientific research institutions, and agricultural products processing enterprises. However, with the gradual development of rural e-commerce, it has also encountered many difficulties. Based on this point, this study applies deep learning and data mining to optimize e-commerce marketing. First, with the growth of the online scale of agricultural product transaction data, the creation of traditional shallow model cannot meet the needs of online data processing. Therefore, this study decides to use the deep learning theory for optimization. It has excellent performance in the technical fields of big data processing and image and voice processing and has strong construction ability, which can effectively represent the characteristics of the model. Combined with the characteristics of e-commerce agricultural products processing and consumer practice, this study designs and develops a new customer value evaluation model based on data mining and e-commerce agricultural products value characteristics in the field of e-commerce. By combining deep learning and data mining technology, this study applies it to the field of e-commerce, so as to promote the transformation of marketing optimization.
Multi-Objective Particle Swarm Optimization with Multi-Archiving Strategy
Authors: Zhang Qian , Liu Yanmin , Han Huayao , Yang Meilan , Shu Xiaoli
Published: May 2022

Although the principle of multi-objective particle swarm optimization is simple and the operability is strong, it is still prone to local convergence and the convergence accuracy is not high. In order to solve the above problems, we propose a multi-objective particle swarm optimization algorithm based on multi strategies and archives. This algorithm is mainly divided into three important parts. Firstly, in the phase of sorting the optimal solutions, the solution set is stored in two different archives according to different conditions; secondly, in order to increase the diversity of the optimal solutions, several strategies are adopted in updating archives and maintaining archives’ scale. Finally, Gaussian perturbation strategy is applied to increase the distribution of particles and improve the quality of the optimal solution set. We compare the proposed algorithm with other algorithms and test it with different test indexes, Pareto graphs, and convergence graphs. The results show that this proposed algorithm has remarkable performance and the proposed method has advantages.
Comparison of the Effect of Anesthetic Agents on Blood Levels of Parathyroid Hormone and Ionized Calcium: A Prospective Randomized Controlled Trial
Authors: Mercanoglu Efe Esra , Kirdak Turkay , Aykut Gulnihal , Kaya Argadal Elif , Kaya Ekrem , Ersoy Canan
Published: May 2022

The aim of this randomized control trial is to compare the effect of anesthetic agents on blood levels of parathyroid hormone and ionized calcium. 77 American Society of Anesthesiologists I-II patients who would undergo laparoscopic cholecystectomy were enrolled into this prospective study and randomized into 3 groups with sealed envelope technique as Group S: sevoflurane, Group D: desflurane, and Group TIVA: total intravenous anesthesia. The first blood sample was used to check the baseline blood levels of parathyroid hormone and ionized calcium. In Group S or D, maintenance of anesthesia was being performed with 1 MAC (minimum alveolar concentration) sevoflurane or desflurane, respectively, while in Group TIVA, it was performed with 150 mcg/kg/min propofol and 1 mcg/kg/min remifentanil IV infusions. At the 30th minute of anesthesia and at the 1st hour of end of anesthesia, 2nd and 3rd blood samples, respectively, were used to check the blood levels of PTH and Ca. During perioperative period, hemodynamic parameters were also noted. Blood levels of parathyroid hormone at the 30th min after anesthesia were found to be significantly different between groups (

P
=
0,01

). The PTH level at the 30th min after anesthesia was found significantly higher in Group S than that of Groups D and TIVA (

P
=
0.005

and

P
=
0.001

, respectively). Blood levels of ionized calcium at 30th min after anesthesia were found significantly different between groups (

P
=
0,048

). It was found significantly higher in Group TIVA than that in Group S (

P
=
0.024

). Desflurane seems to be the best agent for parathyroidectomy procedures. Future research studies are needed to be conducted to reach out more correct and valuable outcomes.
DDAH1 Promotes Lung Endothelial Barrier Repair by Decreasing Leukocyte Transendothelial Migration and Oxidative Stress in Explosion-Induced Lung Injury
Authors: Cong Peifang , Tong Changci , Mao Shun , Shi Lin , Shi Xiuyun , Liu Ying , Jin Hongxu , Liu Yunen , Hou Mingxiao
Published: May 2022

Explosion-induced injury is the most commonly encountered wound in modern warfare and incidents. The vascular inflammatory response and subsequent oxidative stress are considered the key causes of morbidity and mortality among those in blast lung injury. It has been reported dimethylarginine dimethylaminohydrolase 1 (DDAH1) plays important roles in regulating vascular endothelial injury repair and angiogenesis, but its role in explosion-induced injury remains to be explained. To explore the mechanism of vascular injury in blast lung, 40 C57BL/6 wild type mice and 40 DDAH1 knockout mice were randomly equally divided into control group and blast group, respectively. Body weight, lung weight, and dry weight of the lungs were recorded. Diffuse vascular leakage was detected by Evans blue test. The serum inflammatory factors, nitric oxide (NO) contents, and ADMA level were determined through ELISA. Hematoxylin-eosin staining and ROS detection were performed for histopathological changes. Western blot was used to detect the proteins related to oxidative stress, cell adhesion molecules and leukocyte transendothelial migration, vascular injury, endothelial barrier dysfunction, and the DDAH1/ADMA/eNOS signaling pathway. We found that DDAH1 deficiency aggravated explosion-induced body weight reduction, lung weight promotion, diffuse vascular leakage histopathological changes, and the increased levels of inflammatory-related factors. Additionally, DDAH1 deficiency also increased ROS generation, MDA, and IRE-1α expression. Regarding vascular endothelial barrier dysfunction, DDAH1 deficiency increased the expression of ICAM-1, Itgal, Rac2, VEGF, MMP9, vimentin, and N-cadherin, while lowering the expression of occludin, CD31, and dystrophin. DDAH1 deficiency also exacerbated explosion-induced increase of ADMA and decrease of eNOS activity and NO contents. Our results indicated that explosion could induce severe lung injury and pulmonary vascular insufficiency, whereas DDAH1 could promote lung endothelial barrier repair and reduce inflammation and oxidative stress by inhibiting ADMA signaling which in turn increased eNOS activity.
Performance Evaluation of Online Recruitment Enterprises Based on Intuitionistic Fuzzy Set and TOPSIS
Authors: Chen Xiaoyun , Xue Zhe
Published: May 2022

With the advancement of global informatization process, the development of online recruitment enterprises shows a continuous growth trend. Moreover, the growth rate has long been higher than the average level of the information industry. The adjustment and improvement of industrial structure has become an important means for the sustainable development of online recruitment enterprises. In order to further improve the development level of enterprise online recruitment performance, this paper proposes an improved intuitionistic fuzzy analytic hierarchy process and further proposes an intuitionistic fuzzy TOPSIS method optimized by adaptive ant colony algorithm. Select the sample system and finally determine the index system. Finally, the performance of the improved intuitionistic fuzzy set and TOPSIS method is evaluated. The results show that the improved intuitionistic fuzzy set based on adaptive ant colony algorithm and TOPSIS method proposed in this paper is obviously superior to other methods in optimization ability, stability, convergence speed, and running time and can be better applied to practical work. The improvement of the average performance level of online recruitment enterprises in 2022 mainly depends on the improvement of recruitment and appointment level. Enterprises also need to strengthen recruitment and appointment and optimize the company's performance management as a whole.
Pell Collocation Pseudo Spectral Scheme for One-Dimensional Time-Fractional Convection Equation with Error Analysis
Authors: Mohamed A. S.
Published: May 2022

In the current manuscript, we implement the collocation method to obtain an approximate solution of one-dimensional time-fractional convection equation. The operational matrices of Pell polynomials are applied to solve the fractional partial differential equations. In the Caputo sense, we describe the time-fractional derivatives. So, this algorithm allows us to transform the fractional differential equation with initial (boundary) conditions into a system of algebraic equations in a good form. The convergence and error analysis of Pell polynomials are carefully investigated, and some examples are explored to show the comparison and efficiency of our method with others.
The Optimization of Hospital Financial Management Based on Cloud Technology and Wireless Network Technology in the Context of Artificial Intelligence
Authors: Yuan Xiaoping , Shi Chengxia , Wang Zhihong
Published: May 2022

In the reign of Internet technology, cloud technology has emerged as one of the powerful tools in computing with many advantages in the bag. Cloud technology is defined as online access to all types of computing applications. The applications range from access to data, servers, software, databases to storage and retrieval of data. The data can be accessed from anywhere, anytime. The user does not need to own the hardware in this case. Clouds have multiple data centers located at various places. On-demand data service is the best part of cloud technology. This technology is made use in many industries. In this research, we will study how cloud technology and wireless networking technology are applied to optimize hospital financial management. The healthcare industry faces various challenges in financial management such as budgeting, growth planning, and cost-effectiveness. Considering this scenario, it is evident that there is a solid need to optimize its financial management. The cloud computing technology driven by artificial intelligence (AI) is deployed in carrying out repetitive tasks and automation, resulting in increased productivity. In this research, the proposed system uses wireless networking systems and cloud technology to optimize hospital financial management. The model works with the implementation of a hybrid of fuzzy neural networks. The proposed model is analyzed with the existing fuzzy logic and neural network models, and it is found that the proposed model has obtained an accuracy of 97.56% with minimum resources for successful financial management at hospitals.
Chromatin Rewiring by Mismatch Repair Protein MSH2 Alters Cell Adhesion Pathways and Sensitivity to BET Inhibition in Gastric Cancer
Authors: Nargund Amrita M. , Xu Chang , Mandoli Amit , Okabe Atsushi , Chen Gao Bin , Huang Kie Kyon , Sheng Taotao , Yao Xiaosai , Teo Jia Ming Nickolas , Sundar Raghav , Kok Yee Jiun , See Yi Xiang , Xing Manjie , Li Zhimei , Yong Chern Han , Anand Aparna , Bin Adam Isa Zul Fazreen , Poon Lai Fong , Ng Michelle Shu Wen , Koh Javier Yu Peng , Ooi Wen Fong , Tay Su Ting , Ong Xuewen , Tan Angie Lay Keng , Smoot Duane T. , Ashktorab Hassan , Grabsch Heike I. , Fullwood Melissa J. , Teh Bin Tean , Bi Xuezhi , Kaneda Atsushi , Li Shang , Tan Patrick
Published: May 2022

Mutations in the DNA mismatch repair gene MSH2 are causative of microsatellite instability (MSI) in multiple cancers. Here, we discovered that besides its well-established role in DNA repair, MSH2 exerts a novel epigenomic function in gastric cancer. Unbiased CRISPR-based mass spectrometry combined with genome-wide CRISPR functional screening revealed that in early-stage gastric cancer MSH2 genomic binding is not randomly distributed but rather is associated specifically with tumor-associated super-enhancers controlling the expression of cell adhesion genes. At these loci, MSH2 genomic binding was required for chromatin rewiring, de novo enhancer–promoter interactions, maintenance of histone acetylation levels, and regulation of cell adhesion pathway expression. The chromatin function of MSH2 was independent of its DNA repair catalytic activity but required MSH6, another DNA repair gene, and recruitment to gene loci by the SWI/SNF chromatin remodeler SMARCA4/BRG1. Loss of MSH2 in advanced gastric cancers was accompanied by deficient cell adhesion pathway expression, epithelial–mesenchymal transition, and enhanced tumorigenesis in vitro and in vivo. However, MSH2-deficient gastric cancers also displayed addiction to BAZ1B, a bromodomain-containing family member, and consequent synthetic lethality to bromodomain and extraterminal motif (BET) inhibition. Our results reveal a role for MSH2 in gastric cancer epigenomic regulation and identify BET inhibition as a potential therapy in MSH2-deficient gastric malignancies.

Significance:

DNA repair protein MSH2 binds and regulates cell adhesion genes by enabling enhancer–promoter interactions, and loss of MSH2 causes deficient cell adhesion and bromodomain and extraterminal motif inhibitor synthetic lethality in gastric cancer.
Phase II Clinical Trial of Eribulin–Gemcitabine Combination Therapy in Previously Treated Patients With Advanced Liposarcoma or Leiomyosarcoma
Authors: Kim Chang Gon , Sim Nam Suk , Kim Jeong Eun , Yun Kum-Hee , Lee Young Han , Kim Seung Hyun , Baek Wooyeol , Han Yoon Dae , Kim Sang Kyum , Kim Jee Hung , Koh Yoon Woo , Jung Inkyung , Shin Su-Jin , Rha Sun Young , Ahn Jin-Hee , Kim Hyo Song
Published: May 2022

Purpose:

Monotherapy with eribulin or gemcitabine has been found to be moderately effective in treating soft-tissue sarcomas (STS). In this study, we evaluated the efficacy and safety of eribulin–gemcitabine combination therapy for the two most common histologic types of STS, liposarcoma and leiomyosarcoma.

Patients and Methods:

In this nonrandomized, multicenter, phase II study, we included patients with progressive disease who had received one or two courses of chemotherapy that included doxorubicin. Patients were administered 1.4 mg/m2 eribulin and 1,000 mg/m2 gemcitabine on days 1 and 8 every 3 weeks. The primary endpoint was progression-free survival rate at 12 weeks (PFSR12wks), with null and alternative hypotheses of PFSR12wks ≤20.0% and ≥40.0%, respectively. Exploratory biomarker analyses with next-generation sequencing (NGS) were performed on pretreatment tumor samples.

Results:

Among the 37 patients included, the overall PFSR12wks was 73.0%, achieving the primary endpoint. The objective response rate, disease control rate, median progression-free survival, and median overall survival were 16.2%, 78.4%, 5.6 months, and 31.9 months, respectively, without differences according to histologic type. New safety signals and treatment-related deaths were not documented. NGS-based transcriptome analysis revealed that functional enrichment in the TGFβ pathway was mostly associated with a poor outcome, whereas single genetic alterations largely failed to predict treatment outcome.

Conclusions:

Eribulin–gemcitabine combination therapy showed promising activity and an acceptable safety profile in patients with liposarcoma or leiomyosarcoma. Gene expression profiling with pathway enrichment analysis would have possibilities to have predictive value for survival outcome, necessitating further investigation to confirm.
A novel enhanced algorithm for efficient human tracking
Authors: Gheisari Mehdi , Safari Zohreh , Almasi Mohammad , Najafabadi Amir Hossein Pourishaban , Sridharan Abel , G K Ragesh , Liu Yang , Abbasi Aaqif Afzaal
Published: May 2022

Tracking moving objects has been an issue in recent years of computer vision and image processing and human tracking makes it a more significant challenge. This category has various aspects and wide applications, such as autonomous deriving, human-robot interactions, and human movement analysis. One of the issues that have always made tracking algorithms difficult is their interaction with goal recognition methods, the mutable appearance of variable aims, and simultaneous tracking of multiple goals. In this paper, a method with high efficiency and higher accuracy was compared to the previous methods for tracking just objects using imaging with the fixed camera is introduced. The proposed algorithm operates in four steps in such a way as to identify a fixed background and remove noise from that. This background is used to subtract from movable objects. After that, while the image is being filtered, the shadows and noises of the filmed image are removed, and finally, using the bubble routing method, the mobile object will be separated and tracked. Experimental results indicated that the proposed model for detecting and tracking mobile objects works well and can improve the motion and trajectory estimation of objects in terms of speed and accuracy to a desirable level up to in terms of accuracy compared with previous methods.
Detection of myocardial infarction on recent dataset using machine learning
Authors: Parveen Nusrat , Devane Satish R , Akthar Shamim
Published: May 2022

In developing countries such as India, with a large aging population and limited access to medical facilities, remote and timely diagnosis of myocardial infarction (MI) has the potential to save the life of many. An electrocardiogram is the primary clinical tool utilized in the onset or detection of a previous MI incident. Artificial intelligence has made a great impact on every area of research as well as in medical diagnosis. In medical diagnosis, the hypothesis might be doctors' experience which would be used as input to predict a disease that saves the life of mankind. It is been observed that a properly cleaned and pruned dataset provides far better accuracy than an unclean one with missing values. Selection of suitable techniques for data cleaning alongside proper classification algorithms will cause the event of prediction systems that give enhanced accuracy. In this proposal detection of myocardial infarction using new parameters is proposed with increased accuracy and efficiency of the existing model. Additional parameters are used to predict MI with more accuracy. The proposed model is used to predict an early diagnosis of MI with the help of expertise experiences and data gathered from hospitals.
Knowledge and attitudes towards COVID-19 vaccines among university students, faculty members and staffs
Authors: Santiago Jomell Miranda , Santos Angelo Reyes
Published: May 2022

One of the key strategies to stop the increase of coronavirus disease 2019 (COVID-19) cases is vaccines. The uncertainty and refusal of Filipinos to get the COVID-19 vaccine will be a crucial barrier to achieve the immunization coverage required for population protection. Thus, this study was conducted to determine the knowledge and attitude of the Nueva Ecija University of Science and Technology students and faculty and staff towards the COVID-19 vaccine. A descriptive study approach and total sampling were adopted. A questionnaire was constructed to accumulate data on the respondents' profile, knowledge, attitude and source of information about the vaccine for COVID-19. Informed consent and permission to conduct were acquired. Various statistical tools were used to analyze the data. The respondents were knowledgeable and had positive attitude towards the COVID-19 vaccine. Their primary source of information was from social media on the internet and television. There is a positive association between their attitude and knowledge of the COVID-19 vaccine, which means that they are closer to having a positive attitude when they are knowledgeable about the COVID-19 vaccine. Therefore, health education campaigns to increase their knowledge or awareness about the COVID-19 vaccine should encourage them to receive a COVID-19 vaccine shot.
Psycho-spiritual intervention to reduce anger level among delinquent teenager
Authors: Muhammad Hamizah , Mohd Sakari Nor Shakirah , Syed Omar Syed Hadzrullathfi
Published: May 2022

To this day, delinquent among teenagers remain the most critical social issue facing the Malaysian nation. This study examined the effects of psycho-spiritual intervention in reducing the level of anger among delinquent teenagers from correctional and rehabilitation centers in Terengganu. This study employed quasi-experimental research with one group pretest-posttest. The 24 female delinquent teenagers from correctional and rehabilitation centers in Terengganu were involved in this study. Differences in anger levels were evaluated based on the pretest and posttest scores, using the clinical anger scales (CAS). Descriptive analysis and pair sample t-test were used to analyze data. Overall, the pre and post-test mean scores showed a decrease in delinquent teenager’s anger levels. Pair sample t-test showed a significant difference in anger level before and after the psycho-spiritual intervention. It is shown that psycho-spiritual intervention is effective to reduce the levels of anger among teenagers who are involved in delinquent behavior.
Dos sentimentos subjetivos às provas objetivas: uma etnografia do olhar investigativo (policial e antropológico) frente a cenas de pornografia infantil
Authors: Lowenkron Laura
Published: May 2022

O objetivo do artigo é discutir os efeitos emocionais e as reconfigurações estéticas resultantes do contato direto com cenas de “pornografia infantil” por meio de investigações da Polícia Federal. Não se pretende realizar uma análise autorreflexiva a respeito das sensações da pesquisadora, mas sim mostrar como o manejo das emoções e o deslocamento de perspectiva (do “horror” para os “indícios” do crime) constituíram aspectos fundamentais do ofício investigativo antropológico e ofereceram as primeiras pistas de como as imagens de “pornografia infantil” eram (re)significadas frente ao olhar investigativo policial. Além disso, representaram também um aprendizado fundamental para a criação das condições de possibilidade não apenas psicológica, mas acima de tudo epistemológica para a realização da pesquisa de campo nesse contexto etnográfico.