bluuebunny/crossref_metadata_2025 huggingface dataset:
Hedera Nepalensis Cutting Propagation Based on Fractal Theory for Promoting Green Environment
Authors: Chen Xia , Tang Xiangong
Published: August 2022

The green environment is the need of the hour. There are many techniques opted by the agriculture experts for Hedera nepalensis cutting propagation. In order to simulate the propagation pattern of Hedera nepalensis cuttings more vividly, the simulation method of Hedera nepalensis cuttings propagation based on fractal theory has been studied in this paper for promoting green environment. The rule of L-system to generate to Hedera nepalensis graphics is elaborated in detail. The composition of generators is represented by strings, and Hedera epalensis fractal images are generated repeatedly by recursive algorithm. Combining BSP technology (Binary Space Partitioning Tree) with L-system, the simulation model of Hedera nepalensis cutting propagation is designed. The mechanism and morphological difference of real Hedera nepalensis cutting propagation are investigated in detail. The different Hedera nepalensis organs are distinguished by static simulation and the mathematical model is established. With the help of GDI+, random functions are flexibly used in programming control to simulate the process of Hedera nepalensis cutting propagation. By determining the growth proportion coefficient of each organ and the growth coefficient of control parameters, the image of Hedera nepalensis cutting reproduction is generated continuously from the dynamic control parameters and the dynamic process of Hedera nepalensis cutting reproduction is simulated. The simulation results show that the simulation error of this method is less than 0.8%. The simulation process is simple and efficient, and the simulation results are vivid and viable to suggest newer solution for Hedera nepalensis cutting propagation to protect the environment.
Design of Multipoint Temperature and Humidity Silverware Forging for Engraving Process Measurement System Based on ZigBee Technology
Authors: Wei Jinye , Leng Jiaqian
Published: August 2022

This paper studies an embedded monitoring system centered on ZigBee technology to realize real-time temperature and humidity monitoring, and to ensure low power consumption, high reliability, low cost, and collection of environmental information. The communication is designed using the star topology, and the whole network structure is composed of a master node and three sensor receiving nodes to realize the unlimited transmission of network data. The main control point is to determine the coordination of the scope of the ZigBee network configuration system. The ZigBee network can communicate with the host through the data port to realize the acceptance of temperature and humidity data and the sending of commands. Based on this research, this paper determines the impact of non-target parameters on the actual measurement data of the multipoint temperature and humidity sensor, and at the same time determines the key influencing factors. For HMP-45D multipoint temperature and humidity, an improved genetic algorithm (GA) combined with a support vector machine (SVM) is used to compensate humidity and temperature data, which is designed to affect the actual measurement error of the multipoint temperature and humidity sensor. This paper studies the silver forging process, compares the environmental factors of silver carving, further puts forward the control strategy of Hagoun product forging and carving environment control from the perspective of temperature and humidity, and designs the environmental temperature and humidity measurement and control system from the perspective of temperature and humidity control. The system design proposed in this paper is mainly to construct and apply the silverware forging and engraving environment temperature and humidity measurement and control system on the basis of integration and maintenance-free and verify the effectiveness and feasibility of the system in the protection of cultural relics.
Application of Temperature Fall-Off Interpretation Method in Superheavy Oil or Oil Sand SAGD Process
Authors: Liang Guangyue , Xie Qian , Liu Shangqi
Published: August 2022

SAGD technology has been successfully and widely applied in the development of superheavy oil and oil sand projects. Before normal SAGD process, some preheating ways are often needed to realize interwell hydraulic connection, and this means that determining reasonable SAGD conversion timing from the preheating stage is an essential precondition for good performance. Previous numerical simulations or qualitative analysis of temperature fall-off data are often adopted in the industry, but they have deficiencies in terms of dependent on static geological model or insufficient data utilization. Therefore, on the basis of the temperature and pressure monitoring process comparison in China’s superheavy oil and Canada’s oil sand projects, this paper proposed a temperature fall-off interpretation model to obtain thermal diffusivity and preheating radius at different measurement points along the horizontal section by combining an unsteady thermal conduction model under constant heating power of wellbores in the radial coordinate system and approximately unsteady thermal conduction model with constant wellbore temperature and Fourier’s law of thermal conduction. Besides, the duration time, interpretation method, and application flow chart of temperature fall-off test were presented. Then, it was validated to successfully determine the timing of SAGD conversion from the preheating stage by an example combining with tracking numerical simulation, temperature inflection point analysis, and index analysis during the partial-SAGD and initial SAGD stages. The findings of this study can help determine the SAGD conversion timing from the preheating stage simpler and faster especially for the case of long horizontal well section deployed with more temperature measurement points.
Exosome Derived from Human Neural Stem Cells Improves Motor Activity and Neurogenesis in a Traumatic Brain Injury Model
Authors: Abedi Mahsa , Hajinejad Mehrdad , Atabi Fereshteh , Sahab-Negah Sajad
Published: August 2022

Traumatic brain injury (TBI) is a leading cause of mortality and long‐lasting disability globally. Although novel treatment options have been investigated, no effective therapeutic opportunities for TBI exist. Accumulating studies demonstrated that the paracrine mechanisms of stem cells may allow them to orchestrate regenerative processes after TBI. So far, very little attention has been paid to the beneficial effects of human neural stem cells (hNSCs) in comparison to their exosomes as a paracrine mechanism. This study is aimed at comparing the effect of hNSCs with their exosomes in a TBI model. For in vitro assessments, we cultured hNSCs using the neurosphere method and isolated hNSC‐derived exosomes from culture supernatants. For in vivo experiments, male rats were divided into three groups (n = 8/group): TBI group: rats were subjected to a unilateral mild cortical impact; hNSC group: rats received a single intralesional injection of 2 × 106 hNSCs after TBI; and exosome group: rats received a single intralesional injection of 63 μg protein of hNSC‐derived exosomes after TBI. Neurological assessments, neuroinflammation, and neurogenesis were performed at the predetermined time points after TBI. Our results indicated that the administration of exosomes improved the neurobehavioral performance measured by the modified neurological severity score (mNSS) on day 28 after TBI. Furthermore, exosomes inhibited the expression of reactive astrocytes as a key regulator of neuroinflammation marked by GFAP at the protein level, while enhancing the expression of Doublecortin (DCX) as a neurogenesis marker at the mRNA level. On the other hand, we observed that the expression of stemness markers (SOX2 and Nestin) was elevated in the hNSC group compared to the exosome and TBI groups. To sum up, our results demonstrated that the superior effects of exosomes versus parent hNSCs could be mediated by improving mNSS score and increasing DCX in TBI. Considerably, more work will need to be done to determine the beneficial effects of exosomes versus parent cells in the context of TBI.
Government Subsidy, External Financing, and Capacity for Scientific and Technological Innovation of Culture Industry from the Life Cycle Perspective
Authors: Ren Tingting , Zhong Xu
Published: August 2022

The surging development of modern information technologies such as cloud computing and blockchain has stirred up a revolution in the culture industry. In order to further integrate culture with technology, local governments continuously inject subsidies into the culture industry. With listed companies in the Chinese culture industry as the samples, we innovatively combine the life cycle, with technological innovation input and output. This study indicates that government subsidy can remarkably boost the input and output of technological innovation in the culture industry, which delivers a signaling effect to enhance the external financing of listed companies in the culture industry; during the process when government subsidy affects technological innovation activities in the culture industry, equity financing performs better in intermediate effect than bank loans; in the culture industry, government subsidy has a stronger impact on the technological innovation input of growing listed companies and the technological innovation output of advanced listed companies; for growing enterprises in the culture industry, equity financing delivers a strong mediating effect between government subsidy and scientific and technological innovation capacity.
Mechanical Response of Surrounding Rock of Karst Tunnel under Stress-Damage-Seepage Coupling Effect
Authors: Gang-jian An , Zheng-zheng Cao , Hong-fei Duan , Guo-sheng Li , Ao Li
Published: August 2022

In order to reveal the mechanical response of surrounding rock of karst tunnel under stress-damage-seepage coupling effect, a new damage constitutive mechanical model of surrounding rock of karst tunnel under stress-damage-seepage coupling effect is established, which is calculated by the COMSOL Multiphysics in this paper. When the mechanical parameters are assigned to microelements of rock mass by the Weibull distribution function, the larger the

m

value is, the more homogeneous the rock mass is. The variation trend of strain energy density with

m

is similar to equivalent stress, which increases firstly and then decreases. The number of damage points increases with the increase in loading step and decreases rapidly after reaching the peak value and then remains a small number in the later loading stage. With the increase in

γ

, the stress range expands to the rock mass above the vault and below the floor; the stress value increases significantly, and the surrounding rock of karst tunnel is closer to strength limit, leading to the damage of rock mass. With the increase in

γ

, the area of the damage area in the upper part of the vault becomes larger, and most of the rock mass below the bottom plate is damaged; the damage area is semicircular, which indicates that both places are damaged by shearing action, resulting in the developed fissures. Besides, there are the distribution characteristics of “high value on both sides with a peak value and low value in the middle position” in the permeability distribution, and high permeability is located at the arch foot, and the low permeability is located at the floor. The larger the value of

γ

, the larger the permeability. The research achievements provide an important theoretical basis for prediction and treatment for dynamical disaster of karst tunnel.
Biomechanical Characterization of Unilateral and Bilateral Posterior Lumbar Interbody Fusion Constructs
Authors: Peng Xiangping , Li Shaoqing , Yang Sidong , Swink Isaac , Carbone Jake , Cheng Boyle , Wu Zhanyong
Published: August 2022

Study Design. Cadaveric biomechanical study. Objectives. To compare the biomechanical stability of two‐level PLIF constructs with unilateral and bilateral pedicle screw fixations. Methods. Six cadaveric lumbar segments were evaluated to assess biomechanical stability in response to pure moment loads applied in flexion‐extension (FE), lateral bending (LB), and axial rotation (AR). Each specimen was tested in six sequential configurations: (1) intact baseline; (2) facetectomy; (3) unilateral pedicle screws (UPS); (4) bilateral pedicle screws (BPS); (5) unilateral pedicle screws and cage (UPSC); and (6) bilateral pedicle screws and cage (BPSC). Results. Significant reductions in motion were observed when comparing all instrumented conditions to the intact and facetectomy stages of testing. No significant differences in motion between UPS, BPS, UPSC, or BPSC were observed in response to FE range of motion (ROM) or neutral zone (NZ). ROM was significantly higher in the UPS stage compared to BPS in response to LB and AT loading. ROM was significantly higher in UPSC compared to BPSC in response to LB loading only. Similarly, NZ was significantly higher in UPSC compared to BPSC in response to only LB loading. In response to AT loading, ROM was significantly higher during UPS than BPS or BPSC; however, no significant differences were noted between UPSC and BPSC with respect to AT ROM or NZ. Conclusion. BPS fixation is biomechanically superior to UPS fixation in multilevel PLIF constructs. This was most pronounced during both LB loading. Interbody support did contribute significantly to immediate stability.
Concrete Construction Engineering Management in the Context of the Internet of Things
Authors: Feng Jianan , Xu Siran
Published: August 2022

Concrete engineering is currently the top priority in China’s construction, but its engineering management is still weak. The current method is to use the human model to carry out traditional management and control. The defect is that the form is too singular and cannot be involved in all aspects. To solve these problems, this paper proposes the application of Internet of Things technology in concrete engineering management, aiming at studying the quality management method of concrete prefabricated buildings. Through the experimental process of constructing a refined quality management model of prefabricated buildings based on wireless sensor network and BIM technology, BIM technology can help design technical processes and build operation and maintenance systems. The results show that, after the establishment of the information sharing platform, the safety of concrete has been controlled to a certain extent and the accident rate has been reduced from 49% to 36%. Such results show that the use of IoT technology to help concrete engineering management is very effective.
Pb (II) Recovery by Modified Tuffite: Adsorption, Desorption, and Kinetic Study
Authors: Kocadagistan Beyhan , Oksuz Kubra
Published: August 2022

In this study, Pb (II) removal from wastewater was investigated using a modified vitric crystal tuffite with a BET surface area of 11.7 m2/g. For this purpose, tuffite was used in its natural and modified form with ethylenediaminetetraacetic acid (EDTA). Batch adsorption experiment was performed. The effects of contact time (0–90 min), adsorbent dosage (1–10 g/L), initial concentration (10–200 mg/L), and pH (2–12) on the removal of Pb (II) were investigated. The isotherm data were fitted to Langmuir, Freundlich, Temkin, and Redlich-Peterson isotherm models. Kinetic models such as pseudo-first-order, pseudo-second-order, and intraparticle diffusion models were used. In order to optimize the adsorption system and investigate the kinetic behaviour of adsorption, nonlinear isotherm and kinetic models were used as well as linearized models. Error analyses were made in order to express the obtained results more accurately. pH 5 was the optimum value for adsorption. According to nonlinear isotherm model calculations, Bayburt stone (BS) and its modified form (MBS) had [Formula: see text] values of 335 and 584 mg/g, respectively. The Freundlich model, with its high correlation coefficients of about 1.00, was found to be more suitable for the adsorption of Pb (II) to MBS. The pseudo-second-order kinetic model with mean [Formula: see text] and [Formula: see text] values of 0.997 and 0.0116 1/min, respectively, was found to be more appropriate. According to the regeneration studies, the maximum desorption efficiency was 97.8%. The thermodynamic equilibrium coefficients obtained at different temperatures and [Formula: see text], [Formula: see text], and [Formula: see text] values were observed as -21.4, 46.4, and 163 kJ/mol, respectively. These values indicate that the adsorption of Pb (II) on to MBS was endothermic and spontaneous process. BS and MBS were characterized by different instrumental analyses such as SEM, EDS, FTIR, and zeta potential measurements.
In Situ Research on the Spatiotemporal Variations in the Temperature and Deformation of Aeolian Sand‐Modified Soil Roadbed Constructed in Cold Regions
Authors: Li Gao , Zhou Fubiao , Su Zhandong , Bo Jingshan , Chen Xiang , Li Chi
Published: August 2022

Aiming at the cracking phenomenon of an aeolian sand‐modified soil roadbed in an actual project near Tongliao city in eastern Inner Mongolia, Northeast China, an in situ test was conducted. Temperature‐compensated fiber Bragg grating (FBG) strain sensors and moisture sensors were embedded into the test roadbed to monitor and observe the relationships between the temperature, moisture, and deformation of the roadbed with respect to variations in climate conditions in such a cold region. For the core issues of roadbed soil deformation and impact on the project, two climate conditions, namely, temperature and rainfall, were taken as external factors, while the temperature and moisture of the roadbed soil were taken as internal factors controlling the deformation and failure of the roadbed soil. A correlation analysis of the test roadbed monitoring data showed that the roadbed soil moisture was weakly affected by environmental conditions. The roadbed soil temperature was independent of the rainfall but was significantly related to air temperature variation (the correlation coefficient ranged from 0.6301 to 0.8926). Limited by the boundary conditions of the roadbed, the response of the variation in the roadbed soil temperature to the air temperature variation gradually weakened from the shallow surface to the deeper parts and the lag in the roadbed soil temperature variation relative to the air temperature variation became more evident. A correlation analysis of the monitoring data of the roadbed soil deformation, soil temperature, and soil moisture showed that the roadbed soil moisture had a weak correlation with the roadbed soil temperature. The roadbed soil deformation was independent of the soil moisture but was strongly related to the roadbed soil temperature. Therefore, the strain of the test roadbed could reflect the roadbed deformation as temperature deformation. The temperature deformation of the roadbed superficial soil was significantly greater than that of the deep soil.
Clinical Value of Coagulation Index Changes in Early Diagnosis and Nursing Intervention for PICC‐Related Venous Thrombosis in Tumor Patients
Authors: Gai Meihua , He Wenjuan
Published: August 2022

Purpose. To explore the clinical value of coagulation index changes in early diagnosis and nursing intervention for PICC‐related venous thrombosis in tumor patients. Patients and Methods. A total of 170 tumor patients hospitalized for the first time with catheterization were enrolled from February 2018 to June 2022. According to the diagnostic criteria of venous thromboembolism, high‐risk patients with venous thrombosis within 13 days after catheterization were enrolled in the observation group, and those without thromboembolism were enrolled in the control group. Venous blood was taken from all patients on days 1, 5, 9, and 13 after catheterization to measure the change trend of coagulation indexes of patients and to compare the difference of coagulation indexes between the observation group and the control group. Results. PT values of all patients were within the normal reference range at days 1, 5, 9, and 13 after catheterization. Compared with the control group, the observation group was significantly reduced on days 5, 9, and 13 after catheterization (P < 0.05), and continued to decrease with the prolonging of time(P < 0.05). After catheterization, the values of all patients at each time point were lower than the normal reference range. Compared with the control group, the values of tumor patients in the observation group were significantly decreased on days 5, 9, and 13 (P < 0.05) and continued to decrease at each time point (P < 0.05). DD values in the observation group were all higher than the normal reference range on days 1, 5, 9, and 13 after catheterization. Compared with the control group, DD values in the observation group were significantly higher on days 1, 5, 9, and 13 after catheterization (P < 0.05). Conclusion. PT and APTT continued to decrease after catheterization, and DD kept fluctuating at a high level, highly suggesting the possibility of venous thrombosis. The nursing staff should keep high vigilance and give appropriate nursing intervention.
Comparison of Idiopathic Macular Hole Interventions Using Frequency Domain Optical Coherence Tomography and Optical Coherence Tomography Angiography
Authors: Liu Miao , Jin Yu , Li Liu , Yuan Fangxiu , Xu Yueyuan
Published: August 2022

Objective. We aimed to determine the efficacy of different idiopathic macular hole treatment methods to improve recovery time and patient outcomes using Frequency Domain Optical Coherence Tomography (SD-OCT) and Optical Coherence Tomography Angiography (OCTA). Methods. This retrospective study included patients with idiopathic macular hole who were admitted to our hospital between 1st January 2019 and 31st October 2021. The control group was treated with internal limiting membrane tamponade, and the study group was treated with clamshell therapy. Treatment conditions (internal limiting membrane treatment duration and hole closure rate), best corrected visual acuity (BCVA) before and after surgery, OCTA measurements, and SD-OCT were assessed. The retinal nerve fiber layer (RNFL), retinal ganglion cell layer (GCL), and retinal pigment epithelium (RPE) thicknesses were also analyzed. Results. The treatment time and hole closure rate of the internal limiting membrane in the study group were higher than those in the control group. The curative effect of the study group was better than that of the control group. The postoperative DCP blood vessel density in both groups was higher than that before operation, and the study group was higher than the control group. The FAZ area and circumference were lower than those before surgery, and the study group was lower than the control group. At 3 months after operation, the thickness of DIOA, nasal temporal RNFL, and GCL were decreased in both groups, and the observed values in the study group were lower than those in the control group. At 3-month follow-up, there was no significant difference in RPE thickness between the two groups. Conclusion. Flip and cover therapy is the most effective treatment. SD-OCT and OCTA provide an objective basis for clinical intervention by comparing the effects of different procedures on the retinal condition of patients.
Identification of Hub Genes Involved in Tubulointerstitial Injury in Diabetic Nephropathy by Bioinformatics Analysis and Experiment Verification
Authors: Yang Jiayi , Peng Li , Tian Yuqiu , Tang Wenbin , Peng Linlin , Ning Jianping , Li Dongjie , Peng Yun
Published: August 2022

Diabetic nephropathy (DN) is the most important cause of end-stage renal disease with a poorer prognosis and high economic burdens of medical treatments. It is of great research value and clinical significance to explore potential gene targets of renal tubulointerstitial lesions in DN. To properly identify key genes associated with tubulointerstitial injury of DN, we initially performed a weighted gene coexpression network analysis of the dataset to screen out two nonconserved gene modules (dark orange and dark red). The regulation of oxidative stress-induced intrinsic apoptotic signaling pathway, PI3K-Akt signaling pathway, p38MAPK cascade, and Th1 and Th2 cell differentiation were primarily included in Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of these two modules. Next, 199 differentially expressed genes (DEGs) were identified via the limma package. Then, the GO annotation and KEGG pathways of the DEGs were primarily enriched in extracellular matrix (ECM) organization, epithelial cell migration, cell adhesion molecules (CAMs), NF-kappa B signaling pathway, and ECM-receptor interaction. Gene set enrichment analysis showed that in the DN group, the interaction of ECM-receptor, CAMs, the interaction of cytokine-cytokine receptor, and complement and coagulation cascade pathways were significantly activated. Eleven key genes, including ALB, ANXA1, ANXA2, C3, CCL2, CLU, EGF, FOS, PLG, TIMP1, and VCAM1, were selected by constructing a protein-protein interaction network, and expression validation, ECM-related pathways, and glomerular filtration rate correlation analysis were performed in the validated dataset. The upregulated expression of hub genes ANXA2 and FOS was verified by real-time quantitative PCR in HK-2 cells treated with high glucose. This study revealed potential regulatory mechanisms of renal tubulointerstitial damage and highlighted the crucial role of extracellular matrix in DN, which may promote the identification of new biomarkers and therapeutic targets.
Algorithm for Recognition of Movement of Objects in a Video Surveillance System Using a Neural Network
Authors: Harish S. , Anil Kumar C. , Shrinivasan Lakshmi , Rohith S. , Asfaw Belete Tessema
Published: August 2022

The aim of this article is to address the problem of protecting the private property of a protected object, namely: we propose an algorithm for detection of object movements by means of a neural network for the video surveillance system. Consistency of perception of the external world in the form of images allows for the investigation of properties of the limited number of objects on the basis of familiarization with their final number. Based on the literature analysis, the main definitions of the theory of image recognition were established, such as “image,” “sign,” and “vector realization.” A comparison is made of approaches, methods, and technologies for recognizing the movement of objects, and their strengths and weaknesses are discussed. It was found that the neuron network is the most effective method for solving the problem of recognition of the movement of objects due to the accuracy of the result, simplicity, and speed. On the basis of the structural scheme of the complex algorithm of processing and analysis of images, the algorithm for recognition of the motion of objects by means of a neural network for the system of video observation is developed.
[Retracted] Facial Mask Detection Using Image Processing with Deep Learning
Authors: Ding Hongyu , Latif Muhammad Ahsan , Zia Zain , Habib Muhammad Asif , Qayum Muhammad Abdul , Jiang Quancai
Published: August 2022

Coronavirus disease 2019 (COVID‐19) has a significant impact on human life. The novel pandemic forced humans to change their lifestyles. Scientists have broken through the vaccine in many countries, but the face mask is the only protection for public interaction. In this study, deep neural networks (DNN) have been employed to determine the persons wearing masks correctly. The faster region‐based convolutional neural networks (RCNN) model has been used to train the data using graphics processing unit (GPU) device. To achieve our goals, we used a multiphase detection model: first, to label the face mask, and second to detect the edge and compute edge projection for the chosen face region within the face mask. The current findings revealed that faster RCNN was efficient and precise, giving 97% accuracy. The overall loss after 200,000 epochs is 0.0503, with a trend to decrease. While the loss is falling, we are getting more accurate results. As a result, the faster RCNN technique effectively identifies whether a person is wearing face masks or not, and the training period was decreased with better accuracy. In the future, Deep Neural Network (DNN) might be used first to train the data and then compress the dimensions of the input to run it on low‐powered devices, resulting in a lower computational cost. Our proposed system can achieve high face detection accuracy and coarsely obtain face posture estimation based on the specified rule. The faster RCNN learning algorithm returns high precision, and the model’s lower computational cost is achieved on GPU. We use the “label‐image” application to label the photographs extracted from the dataset and apply Inception V2 of faster RCNN for face mask detection and classification.
Musical Note Feature Recognition Based on Long Short-Term Memory
Authors: Yuan Yuan
Published: August 2022

The timbre and volume of a single tone are among its fundamental characteristics. The single-tone detection technology is the key to the foundation of MNFR (musical note feature recognition), which is built on the fundamental feature extraction of single tones. A MNFR method based on LSTM (long short-term memory) is proposed because traditional methods have low accuracy in note feature classification and low accuracy in MNFR. To process the series of convolution feature maps, the feature maps are directly input into LSTM to learn hash codes. Extract the note features. Segment according to the changing trend of the physical features of the notes. Additionally, a number of feature maps are built from convolution feature maps extracted from numerous convolution layers of previously trained CNNs (convolutional neural networks), taking into account the spatial specifics and semantic features. The note start vector is produced using the enhanced peak extraction algorithm based on Gaussian kernel smoothing. The findings indicate that, when 100 samples are used, this method’s note classification accuracy differs from that of the DBN (deep belief network) and DWT (discrete wavelet transform) by 1.17 percent and 2.04 percent, respectively. The analysis in the conclusion demonstrates that the algorithm put forth in this paper is both theoretically and practically workable.
Persistent vs Recurrent Cushing’s Disease Diagnosed Four Weeks Postpartum
Authors: Shah Leena , Nosova Emily V. , Bederson Joshua B. , Cheesman Khadeen Christi
Published: August 2022

Background. Cushing’s disease (CD) recurrence in pregnancy is thought to be associated with estradiol fluctuations during gestation. CD recurrence in the immediate postpartum period in a patient with a documented dormant disease during pregnancy has never been reported. Case Report. A 30-year-old woman with CD had improvement of her symptoms after transsphenoidal resection (TSA) of her pituitary lesion. She conceived unexpectedly 3 months postsurgery and had no symptoms or biochemical evidence of recurrence during pregnancy. After delivering a healthy boy, she developed CD 4 weeks postpartum and underwent a repeat TSA. Despite repeat TSA, she continued to have elevated cortisol levels that were not well controlled with medical management. She eventually had a bilateral adrenalectomy. Discussion. CD recurrence may be higher in the peripartum period, but the link between pregnancy and CD recurrence and/or persistence is not well studied. Potential mechanisms of CD recurrence in the postpartum period are discussed below. Conclusion. We describe the first report of recurrent CD that was quiescent during pregnancy and diagnosed in the immediate postpartum period. Understanding the risk and mechanisms of CD recurrence in pregnancy allows us to counsel these otherwise healthy, reproductive-age women in the context of additional family planning.
Recall Network: A Simple Brain-Inspired Algorithm for Classification
Authors: Tian Zhaoning , Li Ying , Li Zhenhua , Li Site
Published: August 2022

The latest development of neuroscience has deepened the understanding of the information-processing mechanisms in the human brain and inspired a couple of sophisticated computational methods, such as deep learning, memory networks, and hierarchical temporal memory. However, it remains a challenge to explore simpler models due to the high computational cost of the above-mentioned methods. This paper proposes recall network (RN), an intuitive and simple model, that initializes itself by constructing the network path derived from the correlation of features in the training dataset and then makes classification decisions by recalling the paths that are relevant to the features in the test set. The algorithm has been applied to 263 datasets available from UCI Machine Learning Repository, and the classification results of repeated 10-fold cross-validation experiments on Weka demonstrate its competitive performance with prestigious classification algorithms, such as ANN, J48, and KNN.
Panoramic Image Generation Technology for Full Digital Stereo 3D Reconstruction in Water Conservancy Surveying and Mapping Engineering
Authors: Mao Fangfang , Zhao Lei
Published: August 2022

Due to the lack of image feature extraction in traditional panoramic image generation technology, the effect of 3D reconstruction of physical objects is poor. In this paper, fully digital stereoscopic 3D reconstruction technology is introduced in water conservancy surveying and mapping engineering to ensure complete panoramic image generation. Through in-depth analysis of the principle of 3D reconstruction technology and the database, the detailed water conservancy surveying and mapping engineering images are obtained, the feature vectors of the obtained panoramic images are matched, and the database is compared and positioned according to the matched position features. By using the initial position camera and calibration features, comparison and query are conducted with the image database, to remove the worthless confidence data, retain the outline of the object with reference value, obtain a fixed pose center point, and remove the overlapping area in the process of 3D reconstruction after calculating the outline of the image. Finally, the automatic generation of panoramic images is realized. Finally, the results of experimental analysis show that the panoramic image generation technology of the fully digital stereoscopic 3D reconstruction proposed in this paper has a relative accuracy of 49% compared with the traditional image generation method, and the effect of image generation is relatively good, which has a certain use value.
[Retracted] Meta‐Analysis of PKP or PVP Combined with Acupuncture in the Treatment of Osteoporotic Vertebral Compression Fractures
Authors: Li Wei , Ou Haiyan , Zhang Lianghua , Zhang Congcong , Chen Wei , Wang Hao
Published: August 2022

The efficacy of acupuncture combined with percutaneous kyphoplasty (PKP) or percutaneous vertebroplasty (PVP) in the treatment of osteoporotic vertebral compression fracture is systematically evaluated. The clinical trials of acupuncture combined with PKP or PVP in the treatment of osteoporotic vertebral compression fracture published before July 2021 are searched in databases of CNKI, WF, VIP, CBM, PubMed, Cochrane Library, and Embase. The information of included studies is extracted, and the quality is assessed by two independent researchers. The meta‐analysis is performed by using RevMan 5.3 software. A total of 9 trials are included, involving 851 patients. The experimental results show that the therapeutic effect of acupuncture combined with PKP/PVP in the treatment of osteoporotic vertebral compression fracture (OVCF) is superior to that of PKP/PVP alone, and both the VAS score and ODI score of PKP/PVP combined with ordinary acupuncture or silver needle acupuncture are better than those of the control group one month after the operation. The effect of ordinary acupuncture combined with PKP/PVP on the increase of bone mineral density is better than that of the control group. Acupuncture combined with PKP/PVP in the treatment of osteoporotic vertebral compression fracture has better efficacy than PKP/PVP, and it can effectively relieve patients’ pain, improve bone density, and improve the quality of life.
Role of the logo in actualization of visual expressiveness of a brand
Authors: Izbasarova Sofia A. , Mel’nikova Ol’ga T. , Suhina Tat’jana V.
Published: August 2022

Background. Brand perception and consumer loyalty studies have a special interdisciplinary status, where both economic comprehension of the studied problems and social and psychological reVection of consumer behavior are important to form any predictions. Researchers emphasize that a successful brand has a rich clear identity in communication with the consumer, which can be reVected through stable associations with the company. It is worth noting that the studied phenomenon has a complex multidimensional structure, where the logo is one of the components. Objective. We paper attempts to explore the perception of brands through qualitative methods. We tasks are to identify and analyze consumers’ associations with them, as well as to describe the criteria revealing the visual expressiveness of the brand, on the one hand, and the ways to increase consumer loyalty through changes in the company logo, on the other hand. Sample. We study involved 12 people aged 22 to 24 years. Due to the purpose of the study, sampling involved no criteria for awareness of the selected brands or experience in using their products. Method. We empirical study was carried out in several steps. At the preparatory stage of work, an incentive material was formed, consisting of 15 brand logos of diXerent categories. When choosing stimulus material, two criteria were met, including the presence of images that are not related to brand’s products on the logo, and diversity in price categories and trademark areas. Data collection was carried out in the framework of a semi-structured interview with the use of associative techniques. We received submissions were categorized and interpreted in terms of thematic analysis. At the next stage, the elements of logos, according to which subjects evaluated the visual expressiveness of the brand, were identiYed. Results. We most attractive in terms of visual expressiveness logos were identiYed, thematic categories of associations about the brands under study were identiYed and interpreted. As a result, criteria for the visual expressiveness of the brand were formed and practical recommendations to promote consumer loyalty were proposed. Conclusion. We chosen research strategy allowed us to analyze in detail the various elements of the logos and, as a result, describe the criteria that reVect visual expressiveness of the brand. We most important criteria are: consistency in the elements of the presented logo and the correspondence of the logo and its elements to visual images that are used by the brand in marketing strategies to promote the product.
Il nome della rosa’s Translations in the Chinese Language
Authors: Ottaviano Ludovica
Published: August 2022

In 1980, Umberto Eco’s first novel Il nome della rosa was published in Italy and has quickly had global resonance, entering China by the late 1980s. Since then, six translations have been published in the Chinese language, including two issued by Taiwanese translators. It is interesting to observe how each version is able to refract the socio-cultural contexts of the translators, depending on the aspirations and cultural images created in the different periods and geographic areas. We need also consider that, especially in the case of Eco’s novels, the translators had to not only deal with the different needs and expectations of their readers but also imagine a ‘new model reader’, just as Eco did. Therefore, this paper aims at confronting the six different translated versions, by identifying the new model readers imagined by the translators, considering their own expectations, knowledge, and cultural context.
Prevalence of Body Dysmorphic Disorder in an Otolaryngology-Head and Neck Surgery Clinic
Authors: Moroco Annie E. , Daher Ghazal S. , O’Connell Ferster Ashley P. , Lighthall Jessyka G.
Published: August 2022

Objective:

To analyze the prevalence of body dysmorphic disorder (BDD) in a general otolaryngology population presenting to an outpatient clinic.

Study Design:

Prospective prevalence study.

Setting:

Single tertiary academic otolaryngology clinic.

Subject and Methods:

New patients over 18 years of age who presented to an academic otolaryngology clinic between August 2018 and May 2021 completed a questionnaire including demographic questions and the validated Body Dysmorphic Disorder Questionnaire (BDDQ). Data collected from the questionnaires were analyzed to assess demographics and prevalence of BDD in an otolaryngology clinic.

Results:

Of the 242 patients queried, 15 patients screened positive for BDD. The screened prevalence of BDD was determined to be 6.2%. None of the patients had previously been diagnosed with BDD. The prevalence of prior mental health diagnoses was 34.3%. These patients had initially presented for a variety of otolaryngologic concerns and had pre-existing diagnoses of anxiety, depression, obsessive-compulsive, bipolar and eating disorders.

Conclusion:

The prevalence of BDD in our population of new patients presenting to an academic otolaryngology practice (6.2%) is higher than that of the general population (1.9%).
Preparation of Al/AlN composites by in-situ reaction in the nitridation-induced self-forming process
Authors: Kim Jungjoon , Park Jooyoung , Shim Cheol-Hwee , Ahn Jae-Pyong , Choi Hyunjoo , Lee Kon-Bae
Published: August 2022

Recently, we developed and reported an easy and cost-effective process called nitridation-induced self-forming Al composites (NISFAC) for manufacturing aluminum matrix composites from Al powder. In this process, AlN is formed by an in situ reaction between Al powder and nitrogen gas, and Al/AlN composites are self-sintered at temperatures below the melting point of aluminum because of the thermal energy released by the nitridation reaction of the Al powder. Because AlN is formed by an in situ reaction in the Al matrix, it is not only chemically stable, but also beneficial in terms of its wettability with the matrix. In this study, we prepared Al/AlN composites using the NISFAC process by increasing the amount of ex-situ added AlN reinforcement. The coefficient of thermal expansion (CTE) was effectively reduced by increasing the volume fraction of AlN, which was significantly lower than the theoretically expected value; a CTE of ∼10.8 × 10−6/°C could be achieved by adding only 20 vol.% of AlN. This demonstrates that the in situ formation of AlN during the NISFAC process may help reduce the CTE of Al/AlN composites.
Use of animals in dental research: Trends and ethical reflections
Authors: Lopes Camila Soares , Fernandes Clemente Maia S , Barbosa Aline Cristina S , Serra Mônica da Costa
Published: August 2022

This study aimed to survey and analyze the profile of experimental dental research in animals, verifying its trends. We evaluated studies developed with the use of animals in vivo, published in 10 dental journals with high impact factors, from 2015 to 2020. From 1652 studies retrieved, 594 involved in vivo experimentation on animals and were analyzed further. Rats were the species most used and with the highest mean of animals per study. Ferrets, although presenting the lowest rate of publications, had the second highest mean of animals per study. Periodontics was the dental specialty with the highest number of publications, while oral rehabilitation had the lowest number. The data on the institution responsible for reviewing animal research protocols approval, sample size, anesthesia and analgesia were provided in 93.10%, 83%, 70.54% and 23.74% of studies, respectively. In 53% of studies, euthanasia was specified and anesthetic overdose was the method most used. Over the period analyzed, there was a reduction in animal studies in vivo, and periodontics was the specialty that most used this experimental model. Although most studies mentioned approval by an ethics committee, some publications neglected to mention sample size, anesthesia and euthanasia. The omission of essential information may raise scientific and ethical concerns.
Longitudinal associations between Mexican-origin youth’s relationships with parents, siblings, and friends and individual adjustment
Authors: Padilla Jenny , Updegraff Kimberly A. , McHale Susan M. , Umaña-Taylor Adriana J. , Jager Justin
Published: August 2022

Across adolescence and into young adulthood, as youth experience both normative developmental and stressful life changes, close and supportive relationships are essential for healthy adjustment. Supportive relationships may be especially important for protecting Mexican-origin youth from developing depressive symptoms and engaging in risky behaviors given the emphasis within Mexican culture on close relationships, especially in families. With longitudinal data, we examined the associations between Mexican-origin youth’s relationships with mothers, fathers, siblings, and best friends and their adjustment across adolescence and into young adulthood. Participants were 246 Mexican-origin families with a 7th grader (younger sibling) and at least one older sibling, a mother, and a father at Time 1 (T1). Youth participated in home interviews at T1 and again five (T2) and eight (T3) years later. At T1, younger siblings were 12.55 (SD = .60) and older siblings were 15.48 (SD = 1.57) years old. Findings indicated that, with sibling and friend characteristics in the models, mother and father acceptance and conflict were significantly linked to youth positive and negative adjustment, respectively. Both sibling conflict and, consistent with a “partners in crime” process (Slomkowski et al., 2001; p. 273), sibling intimacy (of younger adolescents only), were linked to risky behavior. Same-gender friend conflict also was linked to risky behavior, but neither sibling nor friend relationships were linked to depressive symptoms. Some relationship effects were moderated by gender and age. Together, our findings have implications for programs aimed at preventing adjustment problems.
Transfer function analysis of dynamic cerebral autoregulation: A CARNet white paper 2022 update
Authors: Panerai Ronney B , Brassard Patrice , Burma Joel S , Castro Pedro , Claassen Jurgen AHR , van Lieshout Johannes J , Liu Jia , Lucas Samuel JE , Minhas Jatinder S , Mitsis Georgios D , Nogueira Ricardo C , Ogoh Shigehiko , Payne Stephen J , Rickards Caroline A , Robertson Andrew D , Rodrigues Gabriel D , Smirl Jonathan D , Simpson David M ,   on behalf of the Cerebrovascular Research Network (CARNet)
Published: August 2022

Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in response to changes in perfusion pressure. Due to the challenges of measuring intracranial pressure, CA is often described as the relationship between mean arterial pressure (MAP) and CBF. Dynamic CA (dCA) can be assessed using multiple techniques, with transfer function analysis (TFA) being the most common. A 2016 white paper by members of an international Cerebrovascular Research Network (CARNet) that is focused on CA strove to improve TFA standardization by way of introducing data acquisition, analysis, and reporting guidelines. Since then, additional evidence has allowed for the improvement and refinement of the original recommendations, as well as for the inclusion of new guidelines to reflect recent advances in the field. This second edition of the white paper contains more robust, evidence-based recommendations, which have been expanded to address current streams of inquiry, including optimizing MAP variability, acquiring CBF estimates from alternative methods, estimating alternative dCA metrics, and incorporating dCA quantification into clinical trials. Implementation of these new and revised recommendations is important to improve the reliability and reproducibility of dCA studies, and to facilitate inter-institutional collaboration and the comparison of results between studies.