bluuebunny/crossref_metadata_2025 huggingface dataset:
A Potential Notion on Alzheimer’s Disease: Nanotechnology as an Alternative Solution
Authors: Pange Sudhir Suryakant , Patwekar Mohsina , Patwekar Faheem , Alghamdi Saad , Babalghith Ahmad O. , Abdulaziz Osama , Jawaid Talha , Kamal Mehnaz , Tabassum Shahana , Mallick Jewel
Published: June 2022

Alzheimer’s disease is an eventually destroying disease of the overaged people featured by the dynamic and gradual brain erosion because of construction of extracellular plaques in the hippocampus. It is an undertreated and underrecognized disease that is becoming a major public health concern. From the study, it is known that production of plaques takes place twenty years back, before the commencement of clinical syndromes. As per report, in 2019, above 50 million people got into Alzheimer’s disease. Recent developments include improved clinical diagnostic guidelines and improved treatment of both cognitive disturbance and behavioral problems. Treatment majorly focus on cholinergic therapy has been clinically evaluated by different studies including randomized, double‐blind, placebo‐controlled, parallel‐group studies measuring performance‐based tests of cognitive function, activities of daily living, and behavior. The presence of extracellular plaques of insoluble β‐amyloid peptide (Aβ) and neurofibrillary tangles (NFT) containing hyperphosphorylated tau protein (P‐tau) in the neuronal cytoplasm is a remarkable pathophysiological cause in patients’ brains. The graph of increasing patients, suffering from Alzheimer’s disease, is being ascended. The outcome of this turn into fatal, deadly situation. So, there is a possibility of breaking down world economics and human strength. There is a different kind of organic as well as inorganic nanocomponent group, those have been pursued with satisfaction. By studying and researching over pathogenesis specifically, diagnosis of this AD as per its symptoms is possibly done. Treatment of this neurodisease is under processing. The experts are playing an extremely appreciable role for displacing this disease completely. The present review summarizes the pathophysiology and role of the nanoparticle in the diagnosis and treatment of AD.
Localization Quality Assessment for More Reliable E-Commerce Applications in Arabic
Authors: Omar Abdulfattah , Altohami Waheed M. A. , Ethelb Hamza , Hamidi Bahramuddin
Published: June 2022

E-commerce software and applications are mainly designed to let business go globally with less cost and higher accessibility. The localization of such software and websites into several languages is intended for reaching the largest number of consumers through minimizing the impact of linguistic, cultural, and technical barriers. Such barriers are assumed to affect the quality of localization and accordingly the reliability of the e-commerce software of website. In exploring the persistent problems influencing localization quality in the Saudi context, this study sought to analyze consumers’ perceptions and attitudes regarding the Arabic version of Saudi Amazon (Arabic Amazon.sa) in respect of accessibility, readability, understandability, and translatability issues. Toward this overarching objective, two main research instruments have been used: an online survey covering diverse localization problems and a zoom-based open discussion with the website’s users to collect some concrete examples of the problems influencing the localization quality and website’s reliability. The findings showed that although localization adopts a functional approach to translation for the sake of reaching a large number of consumers, most of the users of the Arabic version of Amazon.sa developed a negative attitude. Such a negative attitude evolved owing to some salient problems that negatively affected the quality of localization and the reliability of website. Although website’s localizers managed to adapt the English version both technically and culturally, some other linguistically oriented problems prevailed including partial translations, vague and misleading translations of promotional texts, inconsistent translation of headings, the foreignization of the website’s settings, the absence of text boundaries, and the occasional mismatches between the website’s English and the Arabic versions.
Artificial Neural Network-Based Ultrasound Radiomics Can Predict Large-Volume Lymph Node Metastasis in Clinical N0 Papillary Thyroid Carcinoma Patients
Authors: Zhu Wan , Huang Xingzhi , Qi Qi , Wu Zhenghua , Min Xiang , Zhou Aiyun , Xu Pan
Published: June 2022

Objective. To evaluate the ability of artificial neural network- (ANN-) based ultrasound radiomics to predict large-volume lymph node metastasis (LNM) preoperatively in clinical N0 disease (cN0) papillary thyroid carcinoma (PTC) patients. Methods. From January 2020 to April 2021, 306 cN0 PTC patients admitted to our hospital were retrospectively reviewed and divided into a training (n = 183) cohort and a validation cohort (n = 123) in a 6 : 4 ratio. Radiomic features quantitatively extracted from ultrasound images were pruned to train one ANN-based radiomic model and three conventional machine learning-based classifiers in the training cohort. Furthermore, an integrated model using ANN was constructed for better prediction. Meanwhile, the prediction of the two models was evaluated in the papillary thyroid microcarcinoma (PTMC) and conventional papillary thyroid cancer (CPTC) subgroups. Results. The radiomic model showed better discrimination than other classifiers for large-volume LNM in the validation cohort, with an area under the receiver operating characteristic curve (AUROC) of 0.856 and an area under the precision-recall curve (AUPR) of 0.381. The performance of the integrated model was better, with an AUROC of 0.910 and an AUPR of 0.463. According to the calibration curve and decision curve analysis, the radiomic and integrated models had good calibration and clinical usefulness. Moreover, the models had good predictive performance in the PTMC and CPTC subgroups. Conclusion. ANN-based ultrasound radiomics could be a potential tool to predict large-volume LNM preoperatively in cN0 PTC patients.
A Multimodal Information Fusion Model for Robot Action Recognition with Time Series
Authors: Zhang Xiaozhi , Li Hongyan , Qian Mengjie
Published: June 2022

The current robotics field, led by a new generation of information technology, is moving into a new stage of human-machine collaborative operation. Unlike traditional robots that need to use isolation rails to maintain a certain safety distance from people, the new generation of human-machine collaboration systems can work side by side with humans without spatial obstruction, giving full play to the expertise of people and machines through an intelligent assignment of operational tasks and improving work patterns to achieve increased efficiency. The robot’s efficient and accurate recognition of human movements has become a key factor in measuring robot performance. Usually, the data for action recognition is video data, and video data is time-series data. Time series describe the response results of a certain system at different times. Therefore, the study of time series can be used to recognize the structural characteristics of the system and reveal its operation law. As a result, this paper proposes a time series-based action recognition model with multimodal information fusion and applies it to a robot to realize friendly human-robot interaction. Multifeatures can characterize data information comprehensively, and in this study, the spatial flow and motion flow features of the dataset are extracted separately, and each feature is input into a bidirectional long and short-term memory network (BiLSTM). A confidence fusion method was used to obtain the final action recognition results. Experiment results on the publicly available datasets NTU-RGB + D and MSR Action 3D show that the method proposed in this paper can improve action recognition accuracy.
Multiobjective Optimization of Propagation Path in Automotive Product Design Change Based on MOPSO
Authors: Ni Jinting , Zhao Hui
Published: June 2022

In optimizing the propagation paths of automotive product design changes, we applied the complex network theory to automotive product structure modeling and established a directed weighted auto part network model. In this model, we defined the parts as the nodes, the physical connections between the parts as the edges, and the impacts of change propagation as the weights of the edges. According to the characteristics of change propagation, we constructed a multiobjective optimization model that simultaneously considered the development time, development cost, and change risk. Using a multiobjective particle swarm optimization (MOPSO) algorithm, we solved the model and obtained the Pareto set of optimal solutions, which provided a basis for designers to choose the optimal design change plan. We conducted the multiobjective optimization of the air-conditioning system design change propagation path in a car model to verify the feasibility and effectiveness of the method.
Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm
Authors: Fan Hongjun , Zhao Xiaoqing , Wang Zongjun , Zhang Zheqing , Chang Ao
Published: June 2022

The median grain size of rock is the main basis for the identification of sedimentary facies, and the variation of the median grain size of rock can be used to obtain the stratum sedimentary rhythm and thus to classify the flow unit. Therefore, the median grain size of rock is an extremely important parameter for reservoir evaluation. However, there is no petrophysical method that can directly evaluate the median grain size of rock in the logging data. The predecessors used natural gamma logging data to calculate the median rock grain size (Md) based on linear and statistical analysis for medium-high porosity and permeability sandstone reservoirs work. However, for low-permeability sandstone reservoirs, the error in the fitted median grain size of rock using linear multiple regression methods is too large for the calculated results to be applied. Therefore, the calculation of the median grain size of low-permeability sandstone reservoirs is a difficult problem to be solved. In this paper, the sensitivity logging parameters of median rock grain size are optimized for low permeability sandstone reservoirs using principal component analysis obtained the grain size direction correlation curves (DEN, CNL,GR, and RD) in the study area, and the corresponding loss and activation functions are selected based on the learning characteristics of the nonlinear mapping of the logging data and the BP neural network to ensure that overfitting occurs. The best model was obtained by using decision tree, support vector machine, shallow and deep neural networks to model the median rock grain size and predict neighboring wells, and a comparative analysis showed that for the problem of predicting the median rock grain size in low-permeability sandstone reservoirs, the deep neural network improved significantly over the shallow one and was much stronger than other machine learning methods. The best model obtained a coefficient of determination (

R

2

) of 0.9831. Machine learning of median grain size from conventional logging data was systematically carried out through conventional logging sensitivity curve optimization, algorithm modeling, network parameter optimization, median grain size prediction, and validation, and the relative error in its quantitative prediction met application requirements. This method takes into account the nonlinear mapping relationship between the logging data and the fitting of small sample data and provides a systematic way of thinking for the logging curve to predict the grain size of low-permeability sandstone.
Region‐Based Convolutional Neural Network‐Based Spine Model Positioning of X‐Ray Images
Authors: Zhang Le , Zhang Jiabao , Gao Song
Published: June 2022

Background. Idiopathic scoliosis accounts for over 80% of all cases of scoliosis but has an unclear pathogenic mechanism. Many studies have introduced conventional image processing methods, but the results often fail to meet expectations. With the improvement and evolution of research in neural networks in the field of deep learning, many research efforts related to spinal reconstruction using the convolutional neural network (CNN) architecture of deep learning have shown promise. Purpose. To investigate the use of CNN for spine modeling. Methods. The primary technique used in this study involves Mask Region‐based CNN (R‐CNN) image segmentation and object detection methods as applied to spine model positioning of radiographs. The methods were evaluated based on common evaluation criteria for vertebral segmentation and object detection. Evaluations were performed using the loss function, mask loss function, classification loss function, target box loss function, average accuracy, and average recall. Results. Many bony structures were directly identified in one step, including the lumbar spine (L1‐L5) and thoracic spine (T1‐T12) in frontal and lateral radiographs, thereby achieving initial positioning of the statistical spine model to provide spine model positioning for future reconstruction and classification prediction. An average detection box accuracy of 97.4% and an average segmentation accuracy of 96.8% were achieved for the prediction efficacy of frontal images, with good image visualization. Moreover, the results for lateral images were satisfactory considering the evaluation parameters and image visualization. Conclusion. Mask R‐CNN can be used for effective positioning in spine model studies for future reconstruction and classification prediction.
Network Pharmacology Approach to Investigate the Mechanism of Modified Liu Jun Zi Decoction in the Treatment of Chronic Atrophic Gastritis
Authors: Zhou Ming
Published: June 2022

Although modified Liu Jun Zi decoction (MLD) has favorable outcomes for chronic atrophic gastritis (CAG) in clinics, the identification of its active ingredients and the molecular mechanism of pharmacology are still unknown and need to be solved urgently. In the study, we screened 170 active components of MLD based on oral bioavailability ≥30% and drug-likeness ≥0.18 via the TCMSP platform. We further establish a dataset containing 315 CAG targets from PharmGkb, GeneCard, OMIM, DrugBank database, and Therapeutic Target database. Network pharmacology found that there are 110 active components of MLD and 26 potential targets for CAG in the “ingredient-target” network. The results of gene ontology analysis show that these targets are involved mainly in reactive oxygen species metabolic process, regulation of vasculature development, and T cell activation. KEGG pathways analysis indicates that these signaling pathways in the treatment of CAG include HIF-1 signaling pathway, neurodegeneration-multiple diseases pathway, MAPK signaling pathway, and PI3K-Akt signaling pathway. Finally, docking of the active component quercetin and clinical medicine Omeprazole with the core targets was carried out. We found that quercetin, a crucial active ingredient in MLD, has good binding activity with potential targets of CAG, and its molecular conformation is stable, which is better than the binding energy of Omeprazole. So, the active ingredients of MLD exhibit good potential drugs for the treatment of CAG.
Accurate Adiabatic and Diabatic Potential Energy Surfaces for the Reaction of He + H2
Authors: Cao Jing , Gao Nan , Bai Yuxuan , Wang Dequan , Wang Ming , Shi Shaokang , Yang Xinyu , Huang Xuri
Published: June 2022

The accurate adiabatic and diabatic potential energy surfaces, which are for the two lowest states of He + H2, are presented in this study. The Molpro 2012 software package is used, and the large basis sets (aug‐cc‐pV5Z) are selected. The high‐level MCSCF/MRCI method is employed to calculate the adiabatic potential energy points of the title reaction system. The triatomic reaction system is described by Jacobi coordinates, and the adiabatic potential energy surfaces are fitted accurately using the B‐spline method. The equilibrium structures and electronic energies for the H2 are provided, and the corresponding different levels of vibrational energies of the ground state are deduced. To better express the diabatic process of the whole reaction, avoid crossing points being calculated and conical intersection also being optimized. Meanwhile, the diabatic potential energy surfaces of the reaction process are constructed. This study will be helpful for the analysis of histopathology and for the study in biological and medical mechanisms.
A Data-Driven Customer Profiling Method for Offline Retailers
Authors: Zuo Huahong , Yang Sike , Wu Hailong , Guo Wei , Wang Lina , Chen Xiao , Su Yingqiang
Published: June 2022

In order to accelerate the transformation of offline retailers and improve sales by using big data technology, this paper proposes a data-driven customer profile modeling method based on the collected historical purchase records of offline consumers. This method is mainly divided into three aspects: (1) an incremental RFM model is designed to classify the value of historical consumers and support the dynamic update of the model, which is more efficient than the traditional RFM model; (2) the commodity preference of different types of customers is analyzed by the TGI model, so as to guide the retail terminal to optimize the marketing strategy; (3) a commodity purchase behavior prediction model based on LSTM is proposed, which can predict the commodity that each customer may purchase in the future, so as to optimize the retail strategy. According to extensive experiments based on a true tobacco dataset, the incremental RFM model can save 80% more time than the traditional method, and our proposed prediction model can achieve 59.32% accuracy, which is better than other baselines.
Large Deviation Rates for the Continuous‐Time Supercritical Branching Processes with Immigration
Authors: Wang Juan , Wang Xiaojuan
Published: June 2022

Let {Y(t); t ≥ 0} be a supercritical continuous‐time branching process with immigration; our focus is on the large deviation rates of Y(t) and thus extending the results of the discrete‐time Galton–Watson process to the continuous‐time case. Firstly, we prove that Z(t) = e−mt[Y(t) − ((em(t + 1) − 1)/(em − 1))ea+m] is a submartingale and converges to a random variable Z. Then, we study the decay rates of P(|Z(t) − Z| > ε) as t⟶∞ and P(|(Y(t + v)/Y(t)) − emv| > ε|Z ≥ α) as t⟶∞ for α > 0 and ε > 0 under various moment conditions on {bk; k ≥ 0} and {aj; j ≥ 0}. We conclude that the rates are supergeometric under the assumption of finite moment generation functions.
[Retracted] An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
Authors: Sreelakshmy R. , Titus Anita , Sasirekha N. , Logashanmugam E. , Begam R. Benazir , Ramkumar G. , Raju Raja
Published: June 2022

Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system’s anatomical abnormalities. Standardized cerebellar assessments from large‐scale clinical datasets are required to investigate correlations between the growing cerebellum and postnatal neurodevelopmental results. These studies could uncover structural abnormalities that could be employed as indicators to forecast neurodevelopmental and growth consequences. To achieve this, higher‐throughput, precise, and impartial measures must be used to replace the existing human, semiautomatic, and advanced algorithms, which seem to be time‐consuming and inaccurate. In this article, we presented an innovative deep learning (DL) technique for automatic fetal cerebellum segmentation from 2‐dimensional (2D) US brain images. We present ReU‐Net, a semantic segmentation network tailored to the anatomy of the fetal cerebellum. Moreover, we use U‐Net as a foundation models with the incorporation of residual blocks and Wiener filter over the last 2 layers to segregate the cerebellum (c) from the noisy US data. 590 images for training and 150 images for testing were taken; also, we employed a 5‐fold cross‐assessment method. Our ReU‐Net scored 91%, 92%, 25.42, 98%, 92%, and 94% for Dice Score Coefficient (DSC), F1‐score, Hausdorff Distance (HD), accuracy, recall, and precision, correspondingly. The suggested method outperforms the other U‐Net predicated techniques by a quantitatively significant margin (p 0.001). Our presented approach can be used to allow high bandwidth imaging techniques in medical study fetal US images as well as biometric evaluation on a broader scale in fetal US images.
Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease
Authors: Ba Hongjun , Wang Yao , Zhang Lili , Wang Huishen , Huang Zhan-Peng , Qin Youzhen
Published: June 2022

Kawasaki disease (KD) is characterized by disorder of immune response with unknown etiology. Immune cells may be closely related to the onset of KD. The focus of this research was to evaluate the significance of the infiltration of immune cells for this disease and find possible diagnostic biomarkers for KD. The Gene Expression Omnibus database was utilized to retrieve two freely accessible gene expression patterns (GSE68004 and GSE18606 datasets) from human KD and control specimens. 114 KD, as well as 46 control specimens, were searched for obtaining differentially expressed genes (DEGs). Candidate biological markers were determined utilizing the support vector machine recursive feature elimination and the least absolute shrinkage and selection operator regression model analysis. To assess discriminating capacity, the area under the receiver operating characteristic curve (AUC) was computed. The GSE73461 dataset was utilized to observe the biomarkers’ expression levels and diagnostic significance in KD (78 KD patients and 55 controls). CIBERSORT was employed to assess the composition profiles of the 22 subtypes of immune cell fraction in KD on the basis of combined cohorts. 37 genes were discovered. The DEGs identified were predominantly involved in arteriosclerotic cardiovascular disease, atherosclerosis, autoimmune disease of the urogenital tract, and bacterial infectious disease. Gene sets related to complement and coagulation cascades, Toll-like receptor signaling pathway, Fc gamma R-mediated phagocytosis, NOD-like receptor signaling pathway, and regulation of actin cytoskeleton underwent differential activation in KD as opposed to the controls. KD diagnostic biomarkers, including the alkaline phosphatase (ALPL), endoplasmic reticulum degradation-enhancing alpha-mannosidase-like protein 2 (EDEM2), and histone cluster 2 (HIST2H2BE), were discovered (

AUC
=
1.000

) and verified utilizing the GSE73461 dataset (

AUC
=
1.000

). Analyses of immune cell infiltration demonstrated that ALPL, EDEM2, and HIST2H2BE were linked to CD4 memory resting T cells, monocytes, M0 macrophages, CD8 T cells, neutrophils, and memory CD4 T cells. ALPL, EDEM2, and HIST2H2BE could be utilized as KD diagnostic indicators, and they can also deliver useful information for future research on the disease’s incidence and molecular processes.
Aquaporin 4 Depolarization-Enhanced Transferrin Infiltration Leads to Neuronal Ferroptosis after Subarachnoid Hemorrhage in Mice
Authors: Liu Yuan , Wang Zongqi , Cao Chang , Xu Zhongmou , Lu Jinxin , Shen Haitao , Li Xiang , Li Haiying , Wu Jiang , Chen Gang
Published: June 2022

The infiltration of blood components into the brain parenchyma through the lymphoid system is an important cause of subarachnoid hemorrhage injury. AQP4, a water channel protein located at the astrocyte foot, has been reported to regulate blood–brain barrier integrity, and its polarization is disrupted after SAH. Neuronal ferroptosis is involved in subarachnoid hemorrhage- (SAH-) induced brain injury, but the inducing factors are not completely clear. Transferrin is one of the inducing factors of ferroptosis. This study is aimed at researching the role and mechanism of AQP4 in brain injury after subarachnoid hemorrhage in mice. An experimental mouse SAH model was established by endovascular perforation. An AAV vector encoding AQP4 with a GFAP-specific promoter was administered to mice to achieve specific overexpression of AQP4 in astrocytes. PI staining, Fer-1 intervention, and transmission electron microscopy were used to detect neuronal ferroptosis, and dextran (40 kD) leakage was used to detect BBB integrity. Western blot analysis of perfused brain tissue protein samples was used to detect transferrin infiltration. First, neuronal ferroptosis 24 h after SAH was observed by PI staining and Fer-1 intervention. Second, a significant increase in transferrin infiltration was found in the brain parenchyma 24 h after SAH modeling, while transferrin content was positively correlated with neuronal ferroptosis. Then, we observed that AQP4 overexpression effectively improved AQP depolarization and BBB injury induced by SAH and significantly reduced transferrin infiltration and neuronal ferroptosis after SAH. Finally, we found that AQP4 overexpression could effectively improve the neurobehavioral ability of SAH mice, and the neurobehavioral ability was negatively correlated with transferrin brain content. Taken together, these data indicate that overexpression of AQP4 in the mouse brain can effectively improve post-SAH neuronal ferroptosis and brain injury, at least partly by inhibiting transferrin infiltration into the brain parenchyma in the glymphatic system.
A Herbal Mixture of Sesami Semen Nigrum and Longan Arillus Induces Neurite Outgrowth in Cultured Neurons and Shows Anti-Depression in Chronic Mild Stress-Induced Rats
Authors: Gao Alex Xiong , Xia Tracy Chen-Xi , Mak Marvin Shing-Hung , Zhu Kevin Yue , Dong Tina Ting-Xia , Tsim Karl Wah-Keung
Published: June 2022

Medicinal food homology is referring to a group of food itself being considered as herbal medicine without a boundary of usage. Under the guidance of this food/medicine principle, the current study aims to develop anti-depressant from this food/medicine catalog. The herbal mixture of Sesami Semen Nigrum and Longan Arillus was evaluated in cultured PC12 rat pheochromocytoma cells, rat primary cortical neurons, and in chronic mild stress (CMS)-induced depressive rat model. The combination of two ethanolic extracts of Sesami Semen Nigrum and Longan Arillus in 1 : 1 ratio mimicked the function of nerve growth factor (NGF) and synergistically induced neurite outgrowth of PC12 cells. Besides, the expression and phosphorylation of tropomyosin receptor kinase A (TrkA) of the cultured cells were also elevated. This neurotrophic activity of herbal mixture was further supported by the increased expressions of biomarkers for neurogenesis and synaptogenesis in cortical neurons. Moreover, the depressed rats were soothed by the intake of herbal mixture, showing improved performance in behavior tests, as well as reversed levels of neurotransmitters and neurotrophic factors. Our results provide a new way to make full use of the current food/medicine resources, as to accelerate the development of therapeutics for depression.
Hydraulic Simulation of Leakage in Post‐Earthquake Water Supply Pipeline Network and Its Algorithm Improvement
Authors: Yu Tianyang
Published: June 2022

For the post‐earthquake water supply pipeline network, the method of generating random numbers to determine the pipelines with leakage damage according to the earthquake damage rate is adopted. Select the most suitable seismic damage rate calculation model for this study. The proportion of different leakage points of pipelines with different pipe materials and interface forms summarized by Shi and O’Rourke from the actual earthquake damage is used to randomly sample the pipelines that cause earthquake damage, determine the leakage loss form of each leakage point, and use the corresponding leakage flow model and the leakage point area model for hydraulic analysis of the leakage of the post‐earthquake pipeline network. The pressure‐dependent nodal demand (PDD) model is added to the hydraulic analysis to avoid the problem of node negative pressure in the hydraulic analysis of low‐pressure pipe networks. The linear search and backtracking algorithm was used to control the iterative step size of the nonlinear equations of the pipe network nodes, which ensures the global convergence of the low‐pressure hydraulic analysis of the pipe network.
Practice and Exploration of Teaching Mental Health Education for College Students Based on Data Mining Algorithm
Authors: Bai Lu , Tang Chunyan
Published: June 2022

Based on the data mining algorithm, this paper combines the background of the requirements for cultivating talents in the new era, the psychological characteristics, and learning features of contemporary college students and the realistic needs of the reform of the teaching of mental health education courses in colleges and universities. By analysing the characteristics, psychology, and causes of crime of contemporary university students, the study will explore the regular experience of guiding and preventing university students from committing crimes at the level of mental health education in universities, which will not only help to reduce the crime rate of university students but also extend to the prevention of crimes of other people in society through the work of mental health education in general, so as to reduce the crime rate in society and create a harmonious society. In this paper,the decision tree C4.5 algorithm and the association rule apriori algorithm are used to analyze the mental health data of college students, which can improve the teaching quality of college mental health education courses and enhance the psychological quality of college students. It is of great significance to improve the teaching quality of mental health education courses in colleges and universities and to enhance and improve the psychological quality and health literacy of college students.
Intra- and Inter-Rater Reliability of Processing Ultrasound Tissue Characterization Scans in Midportion Achilles Tendinopathy
Authors: Paantjens Marc Adriaan , Helmhout Pieter Herman , Gerardus Backx Franciscus Jacobus , Willibrord Martens Meindert Thomas Annechien , Dongen Joeri Paulus Adrianus van , Petrus Bakker Eric Wilhelmus
Published: June 2022

Purpose. Ultrasound tissue characterization (UTC) is used to visualize and quantify the Achilles tendon structure. We investigated the intra-rater and inter-rater reliability of UTC for quantifying the midportion tendon structure and the area of maximum degeneration (AoMD) in military personnel with midportion Achilles tendinopathy. Method. UTC scans of 50 patients (16–60 years) were processed twice by rater 1 and once by rater 2. First, the midportion tendon structure was quantified and subsequently the AoMD. The intraclass correlation coefficient (ICC) was calculated for echo-types I, II, III, IV, aligned fibrillar structure (echo-types I + II), and disorganized tendon structure (echo-types III + IV). Results. For midportion tendon structure, all ICC values were excellent for intra-rater reliability (range: 0.97 to 0.99) and inter-rater reliability (range: 0.98 to 0.99). Regarding the AoMD, intra-rater reliability showed excellent ICC values for all echo-types (range: 0.94 to 0.98) except for echo-type II (0.85). Inter-rater reliability showed excellent ICC values for all echo-types (range: 0.92 to 0.98). Conclusion. Processing of UTC scans is highly reliable in quantifying the midportion Achilles tendon structure and the AoMD.
Beyond T Cells: IgA Incites Immune Recognition in Endometrial Cancer
Authors: Osorio Juan C. , Zamarin Dmitriy
Published: June 2022

While T cells are established major players in antitumor immunity, tumor-associated B cells and antibodies have recently emerged as critical components in modulating immunity in the tumor microenvironment. In the current issue of Cancer Research, Mandal and colleagues show that tumor-infiltrating B cells are associated with improved outcomes in endometrial cancers. Mechanistically, the investigators demonstrate that the immune response is mediated by class-switched IgA binding to the polymeric immunoglobulin receptor in tumor cells, resulting in tumor cell–intrinsic activation of inflammatory pathways. These findings highlight that coordinated B-cell and T-cell responses may predict improved outcomes in patients with endometrial cancer and set the groundwork to further investigate the mechanisms by which humoral immunity could be exploited for cancer immunotherapy.

See related article by Mandal et al., p. 859
Iatrogenic Biliary Injury during Cholecystectomy: Critical Review of a Historical Case and Its Political Consequences
Authors: Tebala Giovanni Domenico , Nuzzo Gennaro
Published: June 2022

Biliary injuries during cholecystectomy represent serious adverse events that can have a profound impact on the patient’s quality of life and on the surgeon’s well-being and career. Sometimes, they can have an unexpectedly disastrous effect on the whole community, as demonstrated by the case of Anthony Eden, former foreign secretary and prime minister of Britain in the 1950s. Mr. Eden, later Lord Avon, had been suffering from biliary symptoms for a while when he had his cholecystectomy performed on April 12, 1953. On post-op day 1, a bile leak was evident, possibly due to a complete transection of the common bile duct. After a first reoperation to drain a bile collection, the definitive repair was performed in Boston by Dr. Cattell on June 10, 1953, with a loop hepatico-jejunostomy. Unfortunately, the bilioenteric anastomosis became gradually narrow, causing recurrent cholangitis, and Mr. Eden started a symptomatic treatment with pethidine, barbiturate, and amphetamine. These could have affected his perception of reality and his political judgement during the Suez Canal Crisis and, other than being the ultimate reason for 3,000+ war casualties, might have caused a Third World War. The historical and clinical implications of this case are thoroughly discussed.
Attentional Biases in Adults Who Stutter before and following Social Threat Induction
Authors: Bauerly Kim R.
Published: June 2022

Purpose: We know that adults who stutter report higher levels of social anxiety [Craig and Tran: J Fluency Disord 2014;40:35–43; Iverach et al.: J Anxiety Disord 2009;23(7):928–34]. What is not clear is whether adults who stutter develop maladaptive attentional shifts, similar to what is observed in socially anxious individuals, in response to social anxiety. The purpose of this study was to investigate the attentional biases in adults who stutter compared to adults who do not stutter before and after social evaluative threat induction and determine whether responses are associated with objective and subjective measures of anxiety. Method: Twelve adults who stutter and 14 matched adults who do not stutter performed a modified response time paradigm, the dot-probe task, where they responded to a probe appearing behind one of two faces, one emotional (positive or negative) and one neutral. Participant’s reaction times were measured before and after a social threat induction task. Skin conductance levels were used as an index of induced stress. Self-reports of trait and social anxiety were used as subjective measures of anxiety. Results: Adults who stutter compared to controls exhibited an attentional bias towards negative facial expressions following a social evaluative threat induction. This effect remained when covarying for levels of trait and social anxiety. Before social evaluative threat induction, visual inspection of the data showed that adults who stutter compared to adults who do not stutter avoided positive facial expressions as they attended more to the negative facial expressions; however, these differences were not significant. Discussion: This study provides evidence for a maladaptive attentional behavior in adults who stutter when undergoing feelings of social evaluative threat. Results provide rationale for research aimed at assessing the use of attention restructuring in highly anxious adults who stutter.
Complete Spontaneous Regression of Squamous-Cell Lung Cancer: A Case Report
Authors: Klitgaard Allan , Løkke Anders , Lager Jakob , Rasmussen Torben Riis , Hilberg Ole
Published: June 2022

Spontaneous regression of cancer is an extremely rare phenomenon, and it has been described in only a few cases of pulmonary cancer. We report a case of complete spontaneous regression of squamous-cell lung cancer (SCLC) following a core needle biopsy in a 67-year-old female patient with two previous lung cancers and concomitant follicular lymphoma. The patient was diagnosed with SCLC after 4 core needle biopsies from a nodule in the left upper lobe and at the same time suspected of having follicular lymphoma. Treatment for the lung cancer was delayed by approximately 8 weeks because the diagnosis of lymphoma was both challenging and time-consuming. A computed tomography scan was performed in relation to the scheduled treatment for SCLC, showing that the pulmonary nodule had disappeared completely. Most other cases of spontaneous regression of lung cancer hint at the involvement of immunological factors, and this case possibly involves a combination of mechanical and local immunological factors. Genetic and immunological analysis of patients showing spontaneous regression of cancers could provide valuable information.
Prophylaxis of Recurrent Stone Disease in Outpatient Clinics in Germany: A Quality-of-Care Concern
Authors: Reicherz Alina , Rausch Patricia , Herout Roman , Noldus Joachim , Bach Peter
Published: June 2022

Introduction: The aim of the study was to survey current practices for preventing recurrent stone disease in an outpatient clinic setting in Germany. Methods: Two invitations to complete an anonymous REDCap® survey were emailed to members of the occupational union of German urologists who work as outpatient urologists (“Berufsverband Deutscher Urologen e.V.”). The survey included questions on diagnostic modalities and counselling to prevent stone disease. Results: A total of 130 outpatient urologists completed the survey. 84.6% of urologists give general advice to first-time stone formers. Recommendations comprise increased fluid uptake in 100%, two-thirds advice on calcium and oxalate intake, and one-third on salt and protein intake. 64.6% perform a metabolic evaluation for high-risk stone formers. However, patients with risk factors other than repeat stone disease are often overlooked. Urologists agreed that a lack of time (73.1%) and reimbursement (64.6%), as well as insufficient patient compliance (60.8%), pose significant challenges. The majority of urologists agreed that training is required. Conclusion: General recommendations for stone formers are usually provided, but nutritional advice tends to be incomplete. Our results raise quality-of-care concerns: Metabolic evaluation of stone formers at high risk of recurrence is uncommon. Structural changes are required due to time constraints, and poor remuneration must be addressed to improve patient care.
Propylthiouracil-Induced Antineutrophil Cytoplasmic Antibodies-Associated Vasculitis with Renal and Lung Involvement
Authors: Wong Albert Hing , Wong Wei-Kei , Looi Lai-Meng , Ratnasingam Jeyakantha , Lim Soo-Kun
Published: June 2022

Propylthiouracil (PTU)-induced antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) is a rare and heterogeneous disease. Moreover, optimal treatment is still lacking. We described the case of a 44-year-old lady with underlying Graves’ disease who had cough, blood-streaked sputum, and impaired renal function. A strongly positive anti-myeloperoxidase antibody (>200 U/mL) along with pauci-immune glomerulonephritis and pulmonary hemorrhage resulted in the diagnosis of PTU-induced AAV, given that the patient had been on PTU for 3 years. PTU withdrawal, therapeutic plasma exchanges, and oral cyclophosphamide provided favorable clinical and biochemical outcomes. She remained well on azathioprine 50 mg daily as maintenance therapy and clinically euthyroid with carbimazole 2.5 mg daily. The effective treatment for drug-induced ANCA vasculitis remains controversial, but rapid withdrawal of the offending medication should be the mainstay of treatment. In severe drug-induced ANCA vasculitis with pulmonary hemorrhage and/or life-threatening organ involvement such as kidney failure requiring dialysis, therapeutic plasma exchange with immunosuppressants is often required. In this case, we have shown that patient achieved remission after therapeutic plasma exchange with cyclophosphamide in the acute stage of treatment and remained symptom-free with azathioprine in the maintenance phase of treatment for 24 months.
miR-107 Attenuates Sepsis-Induced Myocardial Injury by Targeting PTEN and Activating the PI3K/AKT Signaling Pathway
Authors: Zhang Lin , Li Bin , Li Wei , Jiang Jingbo , Chen Wei , Yang Huayun , Pan Diguang
Published: June 2022

Sepsis is a public health problem worldwide. This study investigated the mechanism of miR-107 on sepsis-induced myocardial injury. Sepsis rat models were established by cecal ligation and puncture (CLP), and the cell model was established using lipopolysaccharide (LPS)-induced cardiomyocytes. Cardiac function indexes of rats were measured using echocardiography. Pathological changes in the rat myocardium were observed using histological staining. Expression of miR-107 in the serum of rats and in cardiomyocytes was detected after the treatment with miR-107 mimic and/or pcDNA3.1-PTEN, followed by assessment of cell cycle, proliferation, and apoptosis. Binding sites of miR-107 and PTEN were predicted. PTEN, PI3K, p-PI3K, AKT, and p-AKT levels in LPS-induced cardiomyocytes were measured. miR-107 was significantly downregulated in the serum of CLP rats and LPS-induced cardiomyocytes. miR-107 overexpression remarkably improved cardiac function and histological changes, decreased inflammatory factors, and alleviated the sepsis-induced myocardial injury in rats. In LPS-induced cardiomyocytes, miR-107 overexpression increased cardiomyocyte proliferation, inhibited apoptosis, and enhanced the proportion of cardiomyocytes arrested in S and G2/M phases. miR-107 targeted PTEN. PTEN overexpression partially reversed the inhibition of miR-107 mimic on cardiomyocyte apoptosis. miR-107 overexpression activated the PI3K/AKT pathway by inhibiting PTEN. To conclude, miR-107 activates the PI3K/AKT pathway by inhibiting PTEN, thus attenuating sepsis-induced myocardial injury and LPS-induced cardiomyocyte apoptosis.
Lacunas nos estudos de comunicação e cinema no Brasil: feminismo (e a intersecção de gênero e raça) e recepção fílmica
Authors: Ferreira Ceiça
Published: June 2022

A partir de pesquisa bibliográfica, este trabalho investiga duas lacunas na pesquisa em comunicação e cinema no Brasil: a fraca confluência entre a crítica feminista brasileira e os estudos de mídia (principalmente de origem anglo-americana), que, aliada ao his­tórico não reconhecimento de raça, determina a escassez de pesquisas sobre mulheres negras; e a ausência de diálogo entre os estudos de cinema e a produção teórico-me­todológica dos estudos culturais, um dos fatores responsáveis pela precariedade dos estudos de recepção cinematográfica. Ao final, como parte de exercício propositivo, são apresentados alguns indícios de mudança, com novas publicações e propostas de pesquisas nos âmbitos da representação e da recepção.
O fracasso da mídia em representar a classe trabalhadora
Authors: Hesmondhalgh David
Published: June 2022

O artigo mostra que, embora a Análise da Produção de Mídia (APM) tenha negligenciado, na maioria das vezes, a classe, ela pode ser adaptada produtivamente para explicar as representações inadequadas da classe trabalhadora elaboradas pela mídia, desde que se baseie em: 1) uma compreensão dos fatores político-econômicos e políticos, além dos contextos situacionais, que podem ser observados ou descobertos por meio de entrevistas; 2) uma atenção a como as experiências subjetivas de classe dão forma à produção, através da combinação do conceito de habitus de Bourdieu com o reconhecimento das “posições de classe contraditórias” de Erik Olin Wright; 3) a atenção à mudança do status político da classe trabalhadora, e como isso pode moldar a produção e a representação.
Os lugares onde os estudos de audiência e os estudos de produção se encontram
Authors: Mayer Vicki
Published: June 2022

Os estudos de audiência e os estudos de produção possuem trajetórias de pesquisa bastante distintas, apesar de suas compartilhadas preferências pela teoria baseada na realidade empírica e metodologias de pesquisa. A partir de uma ampla etnografia de mídia das audiências e produtores, esse artigo mostra como os sujeitos humanos dos estudos de audiência e estudos de produção podem ser estudados em conjunto, para revelar as relações de poder envolvidas nos processos da produção dos meios de comunicação de massa. Nesse estudo de caso específico, fãs e figurantes da série de televisão Treme (2010-2013) compartilharam um discurso sobre o lugar da espectatorialidade e o da produção que se esforça para articular uma cultura comum, apesar das barreiras concretas hierárquicas entre públicos e equipe de produção.
Ficção e resistência na cultura de arquivo
Authors: Figueiredo Vera Lúcia Follain de
Published: June 2022

É notório o protagonismo que têm assumido, na cena cultural contemporânea, as diversas formas de documentalismo, que, no entanto, não deixam de lançar mão de procedimentos característicos das narrativas ficcionais. Ao mesmo tempo, os bancos de dados vêm ocupando um território cada vez mais significativo, disputando espaço com as narrativas no que diz respeito à maneira de estruturar nossa experiência do mundo. Diante deste quadro, o artigo indaga qual o lugar assumido pela ficção que se propõe como lugar de resistência, discutindo, a partir de obras selecionadas – tais como o romance Prova contrária, de Fernando Bonassi e o filme Hoje, de Tata Amaral –, a relação entre cotidiano e história na representação das tensões sociais.
Graduação da sombra: ato, matéria e linguagem em O Filantropo e Cujo
Authors: Goldfeder André Barbugiani
Published: June 2022

O artigo propõe uma leitura integrada de O Filantropo (1998), de Rodrigo Naves e Cujo (1992), de Nuno Ramos, buscando analisar sua estratégias de estruturação em diálogo com questões desenvolvidas pelos dois autores em seus trabalhos realizados no universo das artes plásticas. Procura compreender as formas de opacidade que sugere fundamentar as obras estudadas aproximando modos de exploração da relação matéria-sentido e da noção de atona literatura e nas artes plásticas.
L'Amant de la Chine du Nord: livro, filme, noite
Authors: Paraiso Müller Andréa Correa
Published: June 2022

Na trajetória artística de Marguerite Duras, a relação entre cinema e literatura não se limita à passagem do texto à tela, mas compreende também o caminho inverso, da tela ao texto. Mais do que transformar filmes em livros, Duras fez literatura em diálogo com o cinema. No presente artigo, temos por objetivo analisar a maneira pela qual a linguagem cinematográfica perpassa a linguagem literária e vice-versa em L’Amant de la Chine du Nord (1991), texto que, embora chamado de romance por sua própria autora, organiza-se a partir de elementos próprios a um paratexto fílmico.
Do Universo Privado ao Espaço Aberto, do Espaço Aberto ao Universo Privado - Recepção e Gênese de L´Étranger de Albert Camus
Authors: Geske Samara
Published: June 2022

Este artigo pretende traçar linhas gerais sobre a recepção e a gênese de L’Étranger , passando pelo universo privado dos primeiros leitores do manuscrito até chegar ao espaço aberto de seus primeiros críticos, para do espaço aberto da obra publicada retornar o universo privado do processo de criação do romance.
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Authors: Murad Samira , Pino Claudia Consuelo Amigo
Published: June 2022

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