bluuebunny/crossref_metadata_2025 huggingface dataset:
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators
Authors: Muñoz-Martínez Francisco , Abellán José L. , Acacio Manuel E. , Krishna Tushar
Published: May 2022

Increasing deployment of Deep Neural Networks (DNNs) recently fueled interest in the development of specific accelerator architectures capable of meeting their stringent performance and energy consumption requirements. DNN accelerators can be organized around three separate NoCs, namely distribution, multiplier, and reduction networks (or DN, MN, and RN, respectively) between the global buffer(s) and the compute units (multipliers/adders). Among them, the RN, used to generate and reduce the partial sums produced during DNN processing, is a first-order driver of the area and energy efficiency of the accelerator. RNs can be orchestrated to exploit a Temporal, Spatial or Spatio-Temporal reduction dataflow. Among these, Spatio-Temporal reduction is the one that has shown superior performance. However, as we demonstrate in this work, a state-of-the-art implementation of the Spatio-Temporal reduction dataflow, based on the addition of Accumulators (Ac) to the RN (i.e., RN+Ac strategy), can result into significant area and energy expenses. To cope with this important issue, we propose STIFT (that stands forSpatio-Temporal Integrated Folding Tree) that implements the Spatio-Temporal reduction dataflow entirely on the RN hardware substrate (i.e., without the need for the extra accumulators). STIFT results into significant area and power savings regarding the more complex RN+Ac strategy, at the same time its performance advantage is preserved.
Evaluating Realism in Example-based Terrain Synthesis
Authors: Scott Joshua J. , Dodgson Neil A.
Published: May 2022

We report two studies that investigate the use of subjective believability in the assessment of objective realism of terrain. The first demonstrates that there is a clear subjective feature bias that depends on the types of terrain being evaluated: Our participants found certain natural terrains to be more believable than others. This confounding factor means that any comparison experiment must not ask participants to compare terrains with different types of features. Our second experiment assesses four methods of example-based terrain synthesis, comparing them against each other and against real terrain. Our results show that, while all tested methods can produce terrain that is indistinguishable from reality, all also can produce poor terrain; that there is no one method that is consistently better than the others; and that those who have professional expertise in geology, cartography, or image analysis are better able to distinguish real terrain from synthesized terrain than the general population, but those who have professional expertise in the visual arts are not.
TSDroid: A Novel Android Malware Detection Framework Based on Temporal & Spatial Metrics in IoMT
Authors: Zhang Gaofeng , Li Yu , Bao Xudan , Chakarborty Chinmay , Rodrigues Joel J. P. C. , Zheng Liping , Zhang Xuyun , Qi Lianyong , Khosravi Mohammad R.
Published: May 2022

In the era of smart healthcare tremendous growth, plenty of smart devices facilitate cognitive computing for the purposes of lower cost, smarter diagnostic, etc. Android system has been widely used in the field of IoMT, and as the main operating system. However, Android malware is becoming one major security concern for healthcare, by the serious threat for our medical software assets, like the leakage of private information, the abusing of critical operations, etc. Unfortunately, the existing methods focus on building sustainable classification models, without fully considering system API which is the key to model aging. Compared to the traditional methods, we apply the lifeCycle of API as temporal metric. In addition to the temporal view, the “sizes” of the APPs are utilized as spatial metric in the spatial view. Based on this, we firstly discuss the temporal and spatial metrics together in terms of clustering, and then propose our novel framework-TSDroid. In this framework, we use TS-based clustering algorithm to obtain clustering subsets to enhance the detection capability. We have carried out an experimental verification on three existing excellent methods (i.e., Drebin, HinDroid, and DroidEvolver) and obtain good promotion effects by our framework.
Review—Trends in the Development of Non-Enzymatic Electrochemical Sensors Modified with a Metal-Organic Framework for Quantification of Uric Acid
Authors: Hernández-Ramírez D. , Mendoza-Huizar L. H. , Galán-Vidal C. A. , Aguilar-Lira G. Y. , Álvarez-Romero G. A.
Published: May 2022

Uric acid is an important metabolite as its blood levels can help diagnose significant diseases. The accepted methodology for quantifying uric acid is based on enzymatic-spectrophotometric techniques, but in recent years, new alternatives have emerged. Electroanalytical strategies have emerged as promising alternatives for the accurate and precise determination of uric acid. This review analyzes the development over the last decade of non-enzymatic electrochemical studies based on Metal-Organic Frameworks (MOFs) for the detection of uric acid. MOFs have recently arisen as new materials for the electrochemical determination of organic molecules of biomedical interest. Most of the proposals in the literature reported applications of these sensors for the determination of uric acid in blood, urine, and pharmaceutical products. Vitreous carbon and carbon paste electrodes are the main transductors modified with MOF materials to electro-oxidize uric acid; the maximum anodic peak current is then used as the analytical signal. The reported results are promising, demonstrating that this electroanalytical approach represents a viable alternative for fast and confident analysis of this molecule.
Application of Reverse Electrodialysis Power for Oxygen Generation in Undersea Diving
Authors: Garell Madeline , Abbaszadeh Mahsa , Hatzell Marta C.
Published: May 2022

Reverse electrodialysis (RED) is a sustainable multi-membrane system that aims to convert salinity gradient energy into electrical energy. Redox mediators are typically used to convert ionic mixing into electricity at electrodes placed adjacent to a stack of membranes. However, replacing redox mediators with water splitting electrodes can enable the sustainable production of fuels (H2) and/or oxygen (O2). We aim to examine if a RED oxygen generation system could meet oxygen requirements for scuba diving. Evolving oxygen from water would enable the development of artificial gills, allowing for an inexhaustible supply of oxygen thus displacing the need to carry oxygen tanks. We show here that the oxygen evolution activation overpotentials are a significant fraction of internal resistance (77%) in a RED system with a small number of cell pairs (N = 5). However, this resistance is nearly negligible (3.2%) as the number of cell pairs increases (N = 500). We further compare the RED systems to four different battery-electrolysis systems (Li-ion, Ni-MH, Ni-Cd, and lead acid) to contextualize the performance of the RED oxygen generation system.
Lauric acid impairs insulin-induced Akt phosphorylation by upregulating SELENOP expression via HNF4α induction
Authors: Kamoshita Kyoko , Tsugane Hirohiko , Ishii Kiyo-Aki , Takayama Hiroaki , Yao Xingyu , Abuduwaili Halimulati , Tanida Ryota , Taniguchi Yasumasa , Oo Hein Ko , Gafiyatullina Guzel , Kaneko Shuichi , Matsugo Seiichi , Takamura Toshinari
Published: May 2022

Lauric acid induces hepatic insulin resistance by upregulating Selenop. These findings caution the metabolic risk of excessive lauric acid intake, especially in people with hepatic insulin resistance associated with type 2 diabetes.
Inhibition of hypoxia-inducible factor-prolyl hydroxylation protects from cyclophosphamide-induced bladder injury and urinary dysfunction
Authors: Clayton Douglass B. , Tong Ching Man Carmen , Li Belinda , Taylor Abby S. , De Shuvro , Mason Matthew D. , Dudley Anne G. , Davidoff Olena , Kobayashi Hanako , Haase Volker H.
Published: May 2022

Disruption of the blood-urine barrier can result in acute or chronic inflammatory bladder injury. Here, we demonstrate that pharmacological inhibition of hypoxia-inducible factor (HIF)-prolyl hydroxylation prevented bladder injury and protected from urinary dysfunction in a mouse model of cyclophosphamide-induced disruption of the blood-urine barrier. Our study highlights a potential role for HIF-activating small-molecule compounds in the prevention or therapy of bladder injury and urinary dysfunction and provides a rationale for future clinical studies.
Regulation of kidney mitochondrial function by caloric restriction
Authors: Serna Julian D. C. , Amaral Andressa G. , Caldeira da Silva Camille C. , Munhoz Ana C. , Vilas-Boas Eloisa A. , Menezes-Filho Sergio L. , Kowaltowski Alicia J.
Published: May 2022

Prevention of obesity through caloric restriction (CR) is well known to protect many tissues but has been poorly studied in kidneys. Here, we determined the effects of long-term CR in rat kidney mitochondria, which are central players in energy metabolism and aging. Surprisingly, we found that the diet increased mitochondrial reactive oxygen production and permeability transition. This suggests that the kidneys respond differently to restricted diets and may be more susceptible under CR.
A New Evaluation Method for Water Blocking Performance of Coal Seam Floor: Model Construction, Case Application, and Water-Preserved Strategy
Authors: Gao Baobin , Ren Chuangnan , Song Shaopeng
Published: May 2022

In order to scientifically guide the water-preserved mining of the coal seam floor and make up for the shortcomings in the conventional evaluation of water blocking performance of the coal seam floor, according to the system resilience theory, the difference between the vulnerability and resilience of the coal seam floor is analyzed, and three elements and nine indicators for evaluating water resistance toughness of the coal seam floor are determined. In the evaluation process, first of all, the maximum difference normalization method is used to conduct a dimensionless analysis of quantifiable indicators to determine the importance of the corresponding indicators, and the AHP software yaahp10.1 is used to determine the weight vector of each indicator. Secondly, the single-factor membership degree is determined according to the single-factor resilience grade classification criterion and membership function and finally combined with the weight vector for fuzzy synthesis calculation and comprehensive evaluation. The model is applied to a specific project. Research has shown that in the water hazard threat area of No. 10 coal seam floor in Jiegou Coal Mine, Anhui Province, the performance of system vulnerability elements is weak, the performance of system recoverability elements is better, and the performance of system adaptability elements is extremely poor. From the perspective of the whole life cycle, determining the treatment target area, optimizing the rock formation modification and repairing materials, and enhancing the water resources carrying capacity can improve the water resistance toughness of the coal seam floor. Related conclusions verify the effectiveness of the evaluation model. Furthermore, an optimized strategy for coal seam floor water retention mining is proposed: the technology system of water-preserved mining for coal seam floor contains 3 stages and 3 detections, which provides a scientific basis for the in situ protection of high-pressure limestone water from coal seam floor.
Influence on Depression, Anxiety, and Satisfaction of the Relatives’ Visit to Intensive Care Units prior to Hospital Admission for Elective Cardiac Surgery: A Randomized Clinical Trial
Authors: González-Martín Sara , Becerro-de-Bengoa-Vallejo Ricardo , Rodríguez-García Moisés , Losa-Iglesias Marta Elena , Mazoteras-Pardo Victoria , Palomo-López Patricia , Rodríguez-Sanz David , Calvo-Lobo César , López-López Daniel
Published: May 2022

Background. Intensive care units (ICUs) may produce stress on the relatives of patients that have long-term physiological and psychological implications. Objectives. This study aimed to evaluate the effects of the relatives´ visit prior to hospital admission(s) on the patient’s scheduled cardiac surgery regarding depression, anxiety, and satisfaction of the patient’s family in an ICU. Methods. A randomized clinical trial [NCT03605420] was carried out according to the CONSORT criteria. Thirty-eight relatives of ICU patients were recruited at an ICU and randomized into study groups. Experimental group participants (n = 19) consisted of relatives who received 1 ICU visit prior to the patient’s admission. Control group participants (n = 19) consisted of patients’ relatives who received standard care alone. A self-report test battery, including the Impact of Event Scale-Revised (IES-R) and the Hospital Anxiety and Depression Scale (HADS), was completed by the patient’s relative prior to the patient’s ICU admission and again three and 90 days after ICU discharge. Furthermore, the Family Satisfaction with Care in the Intensive Care Unit (FS-ICU) and Critical Care Family Needs Inventory (CCFNI) were administered to help determine the respondents’ satisfaction three days after the patient’s ICU discharge. Results. Statistically significant differences in FS-ICU results were found between control and experimental groups; no statistically significant differences were found in IES-R, HADS, and CCFNI results. Thus, members in the control group were more satisfied with the time elapsed to raise their concerns (

p
=
0.005

), emotional support provided (

p
=
0.020

), quality of care (

p
=
0.035

), opportunities to express concerns and ask questions (

p
=
0.005

), and general satisfaction with the ICU’s decision-making (

p
=
0.003

). Conclusions. Relatives’ satisfaction during patients’ ICU admission may be impaired after their prior visit to the hospital admission. Relative’s anxiety and depression scores did not seem to be significantly affected. Relatives´ visit prior to elective cardiac surgery hospital admission impaired their satisfaction in an ICU and may not be advisable for healthcare practice.
An Approach to Intelligent Fault Diagnosis of Cryocooler Using Time-Frequency Image and CNN
Authors: Gao Sheng , Jiang Zhenhua , Liu Shaoshuai
Published: May 2022

Cryocooler plays an essential role in the field of infrared remote sensing. Linear compressor, as the power component of the cryocooler, will directly affect the normal operation and performance of the detector if there is a fault. Therefore, the intelligent fault diagnosis of the linear compressor is of great significance. An intelligent fault diagnosis method based on time-frequency image and convolutional neural network is proposed to solve the problems of piston and cylinder friction, mass imbalance, and plate spring distortion in the linear compressor. Firstly, the wavelet transform time-frequency analysis method is used to generate the corresponding time-frequency image. Convolutional neural network (CNN) is used to automatically extract features of time-frequency images, so as to realize the classification of various fault modes. The results of simulation experiments show that the method can identify several fault modes of the linear compressor with 95% accuracy.
Silk Fibroin Hydrogels Could Be Therapeutic Biomaterials for Neurological Diseases
Authors: Yang Chun , Li Sunao , Huang Xinqi , Chen Xueshi , Shan Haiyan , Chen Xiping , Tao Luyang , Zhang Mingyang
Published: May 2022

Silk fibroin, a natural macromolecular protein without physiological activity, has been widely used in different fields, such as the regeneration of bones, cartilage, nerves, and other tissues. Due to irrevocable neuronal injury, the treatment and prognosis of neurological diseases need to be investigated. Despite attempts to propel neuroprotective therapeutic approaches, numerous attempts to translate effective therapies for brain disease have been largely unsuccessful. As a good candidate for biomedical applications, hydrogels based on silk fibroin effectively amplify their advantages. The ability of nerve tissue regeneration, inflammation regulation, the slow release of drugs, antioxidative stress, regulation of cell death, and hemostasis could lead to a new approach to treating neurological disorders. In this review, we introduced the preparation of SF hydrogels and then delineated the probable mechanism of silk fibroin in the treatment of neurological diseases. Finally, we showed the application of silk fibroin in neurological diseases.
Application of Data Mining Technology-Based Nursing Risk Management in Emergency Department Care
Authors: Han Weiwei , Wang Songqin , Gao Jianhong
Published: May 2022

Nursing risk refers to all unsafe events that may occur in clinical nursing work. Common risk events include bed fall, fall, scald, line dislodgement, drug extravasation, and drug administration error, which easily lead to nursing-patient disputes and seriously affect the prognosis of patients. In order to effectively avoid nursing risks, strengthening nursing risk management (NRM), improving nursing management mechanism, and improving nursing operation process have become effective ways to manage risks. The emergency department is an important window for rescuing critically ill patients in the hospital, and it is also the main department where diagnosis, nursing risk events, and medical disputes occur. The traditional risk care model has failed to meet the current demand for emergency patient management, and a more scientific and standardized management scheme is urgently needed. In order to improve the quality of NRM in emergency departments and combine the advantages and characteristics of big data-related technologies, this paper proposes an algorithm based on data mining for application in emergency care. The application of data mining in medical care is summarized and combined with the work content and requirements of hospital emergency care, and the application of big data in patient condition monitoring and early warning, medical and nursing staff scheduling, and patient emotional reassurance is discussed, and then, a solution for hospitals to optimize emergency care using data mining is proposed for the special characteristics of emergency care. Initially, the optimized solution is proposed to improve the efficiency and accuracy of patient condition monitoring and early warning, to improve the real-time scheduling of medical and nursing staff, and to solve medical care problems such as patient emotional calming. The analysis shows that the application of big data in emergency care can improve the efficiency of emergency ambulance, improve the doctor-patient relationship, and promote the development of emergency care.
Optimal Design of Honeycomb Beams with Unit Cell Structure Based on Multiobjective Optimization Algorithm
Authors: Feng Yanbo , Sun Xinzu , Chen Bo , Ni Fengqi
Published: May 2022

In order to promote the development of honeycomb composite reinforcements, the mechanical properties and optimization methods of honeycomb beams are studied. A structural optimization design method is proposed based on natural frequency and stiffness and the lightest weight. According to the vibration frequencies and mechanical analysis, the equivalent density and equivalent stiffness of the section in the unit length are deduced, which is considered a typical example. The geometric parameters of the structure system are trained by multiobjective optimization minimax algorithm (MOMA), and the Pareto optimal solution of variable combination is obtained. The results show that optimized objects are significantly better than that previously. Therefore, the optimized scheduling algorithm has some reference value and prospects for practical application.
Optical Coherence Tomography Combined with Fluorescein Fundus Angiography under Intelligent Algorithm to Evaluate the Clinical Efficacy of Ranibizumab Combined with Panretinal Photocoagulation in the Treatment of Macular Edema of Diabetic Retinopathy Patients
Authors: Li Ling , Zhou Qing , Huang Jing
Published: May 2022

This study aimed at investigating the clinical effect of ranibizumab combined with panretinal photocoagulation in the treatment of macular edema in diabetic retinopathy (DR) patients. A parametric deformation model was constructed, and based on this, it was evaluated using optical coherence tomography (OCT) combined with fluorescein fundus angiography (FFA). 56 DR patients (80 eyes) who needed surgery were selected for OCT and FFA scanning, and 0.5 mg ranibizumab was administered intravitreal injection before surgery. It should observe the OCT and FFA image characteristics of patients. In addition, the vision correction status before the surgery, 1 month, 3 months, and 6 months after the surgery, the thickness of the macular retina, operation time, the number of intraoperative electrocoagulation, and complications of patients were recorded. It was found that 82.85% of patients had improved visual acuity after surgery. Compared with preoperative, the average logarithm of the minimum angle of resolution (logMAR) of patients at 6 months after surgery increased significantly (

P
<
0.01

). With the increase of the grade of fibrosis and the grade of hemorrhage, the logMAR visual acuity recovery at 6 months after the surgery became worse; the macular retinal thickness at 6 months after the surgery decreased significantly (

P
<
0.01

). With the increase of the grade of fibrous proliferation and the grade of bleeding, the operation time, the number of electrocoagulation, and the possibility of iatrogenic holes of patient would increase. It can be known that ranibizumab combined with panretinal photocoagulation surgery could not only reduce the macular edema but also effectively reduce the intraoperative bleeding, simplify the removal of proliferative membranes, decrease the number of electrocoagulation, and shorten the operation time, enhancing the visual function of patients.
Role of Cardiomyocyte-Derived Exosomal MicroRNA-146a-5p in Macrophage Polarization and Activation
Authors: Chen Cong , Cai Sidong , Wu Min , Wang Run , Liu Mingya , Cao Gaozhen , Dong Min , Yiu Kai-Hang
Published: May 2022

Myocardial infarction arises from an excessive or prolonged inflammatory response, leading to ventricular remodeling or impaired cardiac function. Macrophages exhibit different polarization types associated with inflammation both at steady state and after myocardial infarction. Exosomal miR-146a-5p has been identified as an important molecule in the cardiovascular field in recent years. However, the effect of cardiomyocyte-derived exosomal miR-146a-5p on macrophages has not yet been elucidated. Initially, we found that exosomes with low expression of miR-146a-5p derived from myocardial infarction tissues modulated macrophage polarization. To determine whether cardiomyocyte-derived exosomal miR-146a-5p mediated macrophage polarization, we treated macrophages with exosomes rich in miR-146a-5p collected from neonatal mouse cardiomyocytes. The effects of exosomal miR-146a-5p on macrophage polarization were measured using RT-qPCR, transwell assays, and western blotting. The results showed that the increased expression of miR-146a-5p promoted M1 macrophage polarization, inhibited M2 macrophage polarization, and increased the expression of VEGFA. However, the decreased expression of exosomalmiR-146a-5p showed the opposite trends. Interestingly, in contrast to treatment with the solitary miR-146a-5p mimic, exosomal miR-146a-5p derived from neonatal mouse cardiomyocytes reduced TNFα and iNOS expression. In addition, when macrophages were activated by the miR-146a-5p mimic or exosomal miR-146a-5p, the expression of TNF receptor-associated factor 6 (TRAF6), a target gene of miR-146a-5p, was reduced significantly. Taken together, these findings indicate that exosomal miR-146a-5p derived from cardiomyocytes could stimulate M1 macrophage polarization to induce an inflammatory reaction, while targeting TRAF6, exerting an anti-inflammatory effect. Exosomal miR-146a-5p plays important roles in macrophages, illuminating a novel potential therapeutic target in myocardial infarction.
A Nonlinear Vibration Compensation Method for Engineering Forging Hydraulic Press Using Tabu Search Algorithm
Authors: Wang Jicai , Chen Chen
Published: May 2022

The research on the nonlinear vibration compensation method in the field of forging hydraulic press is still in the blank stage. This paper studies the nonlinear vibration compensation problem of forging hydraulic press under the action of a kind of nonlinear external system and realizes the increase of a kind of nonlinear vibration in the nonlinear system of a hydraulic press. This paper proposes two methods to solve the nonlinear relationship. One is to concatenate an inverse function of a nonlinear relationship and synthesize it to obtain a linear relationship. While another is to acknowledge its nonlinear relationship and determine its output based on its nonlinear relationship. Furthermore, this paper chooses the tabu search algorithm to solve the compensation problem of nonlinear vibration and improves its search neighborhood to solve the problem of vibration range selection, analyses the vibration reinforcement calculation, and describes the specific steps of applying the tabu search algorithm. Finally, MATLAB is used to simulate and validate the designed method. The simulation results show that the method can suppress nonlinear vibration and the corresponding compensation effectiveness, proving the design method’s rationality.
Pharmacological Therapies for the Management of Inflammatory Bone Resorption in Periodontal Disease: A Review of Preclinical Studies
Authors: Pavanelli Angelica Leticia Reis , de Menezes Bruna Silva , Pereira Erica Bianca Barbosa , de Souza Morais Fabio Assuncao , Cirelli Joni Augusto , de Molon Rafael Scaf
Published: May 2022

Periodontitis, a highly prevalent multicausal chronic inflammatory and destructive disease, develops as a result of complex host‐parasite interactions. Dysbiotic bacterial biofilm in contact with the gingival tissues initiates a cascade of inflammatory events, mediated and modulated by the host’s immune response, which is characterized by increased expression of several inflammatory mediators such as cytokines and chemokines in the connective tissue. If periodontal disease (PD) is left untreated, it results in the destruction of the supporting tissues around the teeth, including periodontal ligament, cementum, and alveolar bone, which lead to a wide range of disabilities and poor quality of life, thus imposing significant burdens. This process depends on the differentiation and activity of osteoclasts, the cells responsible for reabsorbing the bone tissue. Therefore, the inhibition of differentiation or activity of these cells is a promising strategy for controlling bone resorption. Several pharmacological drugs that target osteoclasts and inflammatory cells with immunomodulatory and anti‐inflammatory effects, such as bisphosphonates, anti‐RANK‐L antibody, strontium ranelate, cathepsin inhibitors, curcumin, flavonoids, specialized proresolving mediators, and probiotics, were already described to manage inflammatory bone resorption during experimental PD progression in preclinical studies. Meantime, a growing number of studies have described the beneficial effects of herbal products in inhibiting bone resorption in experimental PD. Therefore, this review summarizes the role of several pharmacological drugs used for PD prevention and treatment and highlights the targeted action of all those drugs with antiresorptive properties. In addition, our review provides a timely and critical appraisal for the scientific rationale use of the antiresorptive and immunomodulatory medications in preclinical studies, which will help to understand the basis for its clinical application.
Synthesis and Experimental Investigations of Tribological and Corrosion Performance of AZ61 Magnesium Alloy Hybrid Composites
Authors: Venkatesh R. , Kannan C. Ramesh , Manivannan S. , Vivekanandan M. , Krishna J. Phani , Mezni Amine , Islam Saiful , Rajkumar S.
Published: May 2022

Magnesium alloy is the light weight material compared to aluminium alloy, and it possesses high strength; these alloys are used to manufacturing of vehicle parts. Magnesium alloy has extreme mechanical and thermal properties, and it is applied to aerospace applications. This study planned to improve the tribological and corrosion resistance of AZ61 magnesium alloy with reinforcement of boron carbide (B4C) and zirconium dioxide (ZrO2). Magnesium alloy hybrid composites are fabricated through stir casting process. Tribological and corrosion performance are analyzed through Taguchi L27 Orthogonal Array. In the tribological analysis, four parameters are involved such as % of reinforcement (4%, 8%, and 12%), disc speed (1 m/s, 2 m/s, and 3 m/s), normal load (30 N, 40 N, and 50 N), and sliding distance (1300 m, 1500 m, and 1700 m). Similarly, in salt spry corrosion analysis, four parameters are influenced used such as % of reinforcement (4%, 8%, and 12%), pH (7, 8, and 9), temperature (30°C, 35°C, and 40°C), and hanging time (30 hrs, 40 hrs, and 50 hrs). From this analysis, percentage of reinforcement is highly influenced in wear test, and in corrosion test, temperature is extremely influenced.
Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP Neural Network
Authors: Mengmeng Jiang , Dasan Jakaria , Xiaoxiao Li
Published: May 2022

The traditional dimission prediction method for knowledge workers does not take into account the impact of job burnout on employees’ dimission tendency, resulting in low accuracy of dimission prediction. In view of the above problems, this paper introduces the employee burnout evaluation and researches the knowledge employee burnout evaluation and turnover tendency prediction method based on BP neural network. After analyzing the influencing factors of job burnout of knowledge workers, the evaluation index system of job burnout is established. The weight of the job burnout evaluation index was determined by fuzzy hierarchy, and BP neural network model was established. Boosting method added the fusion layer of the correlation analysis of job burnout and turnover intention to the neural network model to predict the turnover intention of employees. In the method test, the accuracy rate of employee turnover tendency prediction is higher than 90%, the reliability of employee burnout evaluation is higher, and it is more helpful for human resource management.
Comparative Study on the Field‐ and Lab‐Based Soil‐Water Characteristic Curves for Expansive Soils
Authors: Zamin Bakht , Nasir Hassan , Sikandar Muhammad Ali , Ahmad Waqas , Khan Beenish Jehan , Ahmad Mahmood , Bashir Muhammad Tariq
Published: May 2022

Expansive soils are problematic and viewed as a potential hazard for buildings and structures due to swell and shrink phenomena. The damaging effect of these soils is strongly correlated with the soil‐water characteristics of expansive soils present in the shallow depth. The seasonal wetting‐drying cycle is vital in fluctuating moisture content in the surficial soils. As such, soils remain unsaturated most of the time due to high absorption capacity. Therefore, it is crucial to assess them as unsaturated soil, and the soil‐water characteristic curve (SWCC) is an essential tool for measuring unsaturated soils’ mechanical and hydraulic properties. The main objective of this study was to establish both field‐ and lab‐based SWCCs for the expansive soils and compare them for determining the possible difference between them. For this purpose, eight sites of expansive soils were selected for sampling and in situ testing. These sites include three locations of Karak, three locations of Kohat, and two locations of D.I areas. Based on the experimental results, Karak’s expansive soil indicated a high suction value of 705 kPa, while D. I Khan’s soil showed the least suction equal to 595 kPa. The comparison of field and lab SWCCs for the potential sites presented a close agreement in the matric suction values beyond the air entry values (AEVs), particularly in the residual suction zones. It was also concluded that for expansive soils, the field‐ and lab‐based SWCCs are comparable beyond the AEVs. The established curves can be successfully utilized to assess local expansive soils in the framework of unsaturated soils.
DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning
Authors: Lei Hong , Xiao Yue , Liang Yanchun , Li Dalin , Lee Heow Pueh
Published: May 2022

Speech recognition technology has played an indispensable role in realizing human‐computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor performance. To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short‐term memory, and deep neural network (DCNN‐LSTM‐DNN, DLD). This model utilizes DCNN to reduce frequency variation and adds a batch normalization (BN) layer after its convolutional layer to ensure the stability of data distribution, and then use LSTM to effectively solve the gradient vanishing problem. Finally, the fully connected structure of DNN is utilized to efficiently map the input features into a separable space, which is helpful for data classification. Therefore, leveraging the strengths of DCNN, LSTM, and DNN by combining them into a unified architecture can effectively improve speech recognition performance. Our model was tested on the open Chinese speech database THCHS‐30 released by the Center for Speech and Language Technology (CSLT) of Tsinghua University, and it was concluded that the DLD model with 3 layers of LSTM and 3 layers of DNN had the best performance, reaching 13.49% of words error rate (WER).
Dietary Sucrose Determines Stress Resistance, Oxidative Damages, and Antioxidant Defense System in Drosophila
Authors: Strilbytska Olha , Strutynska Tetiana , Semaniuk Uliana , Burdyliyk Nadia , Bubalo Volodymyr , Lushchak Oleh
Published: May 2022

Varied nutritional interventions affect lifespan and metabolic health. Abundant experimental evidence indicates that the carbohydrate restriction in the diet induces changes to support long-lived phenotypes. Reactive oxygen species (ROS) are among the main mechanisms that mediate the effect of nutrient consumption on the aging process. Here, we tested the influence of sucrose concentration in the diet on stress resistance, antioxidant defense systems, and oxidative stress markers in D. melanogaster. We found that high sucrose concentration in the fly medium leads to enhanced resistance to starvation, oxidative, heat, and cold stresses. However, flies that were raised on low sucrose food displayed increased levels of low-molecular-mass thiols, lipid peroxides in females, and higher activity of antioxidant enzymes, indicating that the consumption of a low carbohydrate diet could induce oxidative stress in the fruit fly. We found that the consumption of sucrose-enriched diet increased protein carbonyl level, which may indicate about the activation of glycation processes. The results highlight a strong dependence of oxidative metabolism in D. melanogaster from dietary carbohydrates.
Conservative Medical Management of a Tracheal Perforation after Blunt Trauma in a Patient with SARS-CoV-2
Authors: Zuluaga-Gómez Mateo , González-Arroyave Daniel , Ardila Carlos M.
Published: May 2022

This article reports the case of a woman with tracheal perforation due to closed neck trauma and the presence of SARS-CoV-2. The physical examination revealed subcutaneous emphysema in zone II of the neck. The tomography revealed an anterior and proximal tracheal lesion, a 2-mm solution of continuity of the anterior infraglottic airway in the proximal third with subcutaneous emphysema and a decrease in the diameter of the airway at the level of the glottis. The PCR result for SARS-CoV-2 was positive. The medical procedure consisted of orotracheal intubation to guarantee the safety of the airway, in addition to close surveillance in the intensive care unit and constant monitoring of vital signs. In tracheal perforation due to closed neck trauma, it is recommended to evaluate the clinical parameters periodically, including the stability of respiration and subcutaneous emphysema.
Root Membrane Replantation as an Alternative Technique for the Socket Preservation
Authors: Campione Francesco , Campione Ludovica , Campione Mario Francesco , Melillo Michele , Arena Claudia , Abella Francesc , Boschini Luca
Published: May 2022

Background and Overview. Socket shield is a technique that allows the maintenance of tissue volumes. In the reported clinical case, the replantation of the buccal root fragment mistakenly extracted during a socket shield surgery is performed. We present a follow-up to 5 years with an unexpected healing.Case Description. An 88-year-old patient underwent an immediate loading implant placement associated with the replantation of the mistakenly extracted root fragment. The shaping of the fragment was performed extraorally, and the replantation was done so that the fragment protruded above the crest margin.Conclusions and Practical Implications. The 5-year follow-up shows an uneventful healing of the implant. At 48 months, postoperative CBCT exam reports images compatible with the regeneration of the bone over the portion of root that protruded over the margin. The outcome suggests clinical implications, as the opportunity to easily shape the fragment extraorally and replant sound portion of the root (not necessary the buccal) in buccal socket with bone defect.
Factors Influencing Users’ Willingness to Adopt Connected and Autonomous Vehicles: Net and Configurational Effects Analysis Using PLS-SEM and FsQCA
Authors: Li Gang , Liang Yikai , Wang Haiqing , Chen Jiali , Chang Xiangbo
Published: May 2022

To accelerate the widespread adoption of connected and autonomous vehicles (CAVs) and take full advantage of CAVs’ transportation safety, efficiency, and pro-environment, a deep understanding of CAVs acceptance is needed. However, little is known about the combined effects of factors influencing CAVs acceptance using traditional statistical methods. We developed an integrated model to explore how various antecedent factors work together on CAVs’ acceptance. The symmetric (Structure Equation Modeling) and asymmetric (Qualitative Comparative Analysis) techniques were utilized for analyzing data from 362 Chinese. PLS-SEM assesses the net effect of each antecedent on CAVs’ adoption, while fsQCA provides supplementary analysis by revealing the configurations of causal conditions associated with CAVs’ adoption. PLS-SEM results show that perceived usefulness, perceived ease of use, and initial trust directly influence users’ willingness to adopt CAVs, while perceived risk, social influence, and facilitating conditions do not. Meanwhile, automation, ubiquitous connectivity, structural assurance, and corporation reputation indirectly influence CAVs adoption, while environmental performance and technological uncertainty have no statistically significant indirect effect. Interestingly, fsQCA reveals five configurations resulting in a high level of CAVs’ acceptance, and seven configurations leading to the negation of CAVs’ acceptance. The complementary analysis results provide insights into both theory and practice.
Bibliometric Analysis of the Current Landscape of Global Scientific Production on the Development of Vaccines against Dental Caries
Authors: Torres-Loyola Alejandra , Rojas-Arana Carlos , Munive-Degregori Arnaldo , Guerrero Maria Eugenia , Mauricio Franco , Pacheco-Mendoza Josmel , Mayta-Tovalino Frank
Published: May 2022

Objective. To perform a bibliometric analysis of the scientific research on the development of vaccines against dental caries. Methods. An extraction of the scientific production published on the development of vaccines against dental caries between 2011 and 2020 was carried out from the Scopus database. Microsoft Excel was used for the elaboration of tables and SciVal for the bibliometric analysis of the data, which were divided into indicators of production, impact, and collaboration. Finally, VOSviewer was used for co-occurrence analysis of keywords and collaborative networks. Results. 106 studies were retrieved from the Scopus database, which were conducted on the development of dental caries vaccines within the years 2011–2020. Wuhan University, in China, was the university with the highest scientific production on the subject, with 4 publications. Regarding the most productive journals, the first place was occupied by the Journal of Dental Research with 7 publications. Regarding the most productive journals, the first place was occupied by the Journal of Dental Research with 7 publications. The highest percentage of the documents analyzed was in quartile 1 journals and in the national collaboration pattern. Conclusion. Most of the manuscripts regarding the development of vaccines against dental caries were published in China and in Q1 quartile journals. In addition, Yan Huimin, Yang Jingyi, Zhou Dihan, Yang Yi, Li Yuhong and Fan Mingwen were found to top the list of most productive authors. The Journal of Dental Research was also identified as the most productive and cited journal.
Computational Application on English Translation System Based on Intelligent Image Text Recognition
Authors: Haijie Wang , Li Zhang
Published: May 2022

This work offers an enhanced intelligent picture text recognition algorithm based on the intelligent image text recognition method to increase the impact of English image text translation. Texture blocks of adaptable size are used to successfully increase the accuracy and efficiency of restoration due to the varying texture information present in various photos. Furthermore, the repair sequence is altered as a result of the improved priority calculation algorithm, and the weight of the structural information is enhanced at the same time. In addition, in order to reduce the overall structural complexity and calculation amount of the system, the gated loop unit is also selected as the RNN structure. Finally, this article constructs an English translation system based on intelligent image text recognition according to the requirements of intelligent image text recognition and designs experiments to evaluate the performance of the system constructed in this article. The experimental statistical results show that the English translation system constructed in this article can basically meet the needs of English image text recognition.
Connected Degree of Fuzzifying Matroids
Authors: Xin Xiu , Li Sheng Gang , Garg Harish , Liu Heng , Zhao Jingjing
Published: May 2022

Polya’s plausible reasoning methods are crucial not only in discovery of mathematics results, modeling methods, and data processing methods but also in many practical problems’ solving. This paper exemplifies how to use Polya’s plausible reasoning methods to generalize the popularized notion of 2‐connectedness of graphs to a more universal notion of the connected degree of fuzzifying matroids. We introduce the connectedness of fuzzifying matroids, which is generalized from 2‐connectedness of graphs, connectedness of matroids, and 2‐connectedness of fuzzy graphs. Moreover, the connected degree of fuzzifying matroids is presented by considering the fuzziness degree of connectedness. It is proved that a fuzzifying matroid is connected, which is equivalent to its connectedness degree is the biggest (i.e., ). This, together with other properties of the connected degree of fuzzifying matroids, demonstrates the rationality of the proposed notion. Finally, we describe the concepts of this paper through some examples.
Paracolpium Leiomyoma Misdiagnosed as Endometriosis: Case Report and Surgical Technique of a Laparoscopic Approach
Authors: de Nadai Filho Nilton , Crispi Junior Claudio Peixoto , de Freitas Fonseca Marlon
Published: May 2022

A 36-year-old Caucasian, nulliparous patient sought care at a private gynecology clinic after 6 months of attempting to conceive. During the initial consultation, the patient reported severe dysmenorrhea and deep dyspareunia. During the gynecological examination, a nodule in the left lateral vaginal fornix was palpable. The MRI showed a hypointense nodular lesion in the left paracolpium described as an endometriosis nodule. Laparoscopic resection of the nodule was indicated. The patient showed improvement in symptoms after surgical treatment. This case report describes the technique for laparoscopic approach to paracolpium tumors.
Model-Based Study of Creep and Recovery of a Glassy Polymer
Authors: Chowdhury Myisha Ahmed , Alam Md. Mohibul , Rahman Md. Mostafizur , Islam Md. Akhtarul
Published: May 2022

Polyvinyl chloride specimens were subjected to three different constant loads at ambient temperature, and the creep is monitored as a function of time. After a certain time, the load was withdrawn and the strain recovery was followed with time. Although the deformational behavior of such material is conventionally described by the Burger model consisting of elastic, viscoelastic, and viscous components, in the present work, it is shown that the whole creep recovery process is reversible and is described by three viscoelastic components connected in series. Depending on the relative value of the observation and the relaxation times, the viscoelastic components appear pseudo- elastic or viscous. It is found that the model parameters evaluated from the creep data fail to predict the recovery data in both the initial and the end phases, while those from the recovery data can partially reproduce the creep data (satisfactorily in the late phase and with high deviation in the initial phase). The model parameters vary with stress values, but with a good approximation, they could be averaged for a certain stress range to describe creep processes for a specified time period. The proposed model describes creep data better than the Finley and the Weibull models.
Flos Carthami Exerts Hepatoprotective Action in a Rat Model of Alcoholic Liver Injury via Modulating the Metabolomics Profile
Authors: Fan Xiaojing , Wang Xiye , Lian Jie , Pei Zhili , Jiang Mingyang , Bai Meirong
Published: May 2022

This study was intended to identify the shifts in the metabolomics profile of the hepatic tissue damaged by alcohol consumption and verify the potential restorative action of flos carthami (the flowers of Carthamus tinctorius, FC) in the protection of alcohol-induced injury by attenuating the level of identified metabolites. Rats were treated with FC and subsequently subjected to alcohol administration. The serum samples were subjected to liquid chromatography-mass spectrometry (LC-MS)-based metabolomics followed by statistical and bioinformatics analyses. The clustering of the samples showed an obvious separation in the principal component analysis (PCA) plot, and the scores plot of the orthogonal partial least squares-discriminant analysis (OPLS-DA) model allowed the distinction among the three groups. Among the 3211 total metabolites, 1088 features were significantly different between the control and alcohol-treated groups, while 367 metabolites were identified as differential metabolites between the alcohol- and FC-treated rat groups. Time series clustering approach indicated that 910 metabolites in profile 6 were upregulated by alcohol but subsequently reversed by FC treatment; among them, the top 10 metabolites based on the variable importance in projection (VIP) scores were 1-methyladenine, phenylglyoxylic acid, N-acetylvaline, mexiletine, L-fucose, propylthiouracil, dopamine 4-sulfate, isoleucylproline, (R)-salsolinol, and monomethyl phthalate. The Pearson correlation analysis and network construction revealed 96 hub metabolites that were upregulated in the alcohol liver injury model group but were downregulated by FC. This study confirmed the hepatoprotective effects of FC against alcohol-induced liver injury and the related changes in the metabolic profiles, which will contribute to the understanding and the treatment of alcohol-induced acute liver injury.