bluuebunny/crossref_metadata_2025 huggingface dataset:
The weak form of Hirzebruch’s prize question via rational surgery
Authors: Milivojević Aleksandar
Published: November 2021

We present a relatively elementary construction of a spin manifold with vanishing first rational Pontryagin class satisfying the conditions of Hirzebruch’s prize question, using a modification of Sullivan’s theorem for the realization of rational homotopy types by closed smooth manifolds. As such this is an alternative to the solutions of the problem given by Hopkins–Mahowald, though without the guarantee of the constructed manifold admitting a string structure. We present a particular solution which is rationally 7 connected with eighth Betti number equal to one; our approach yields many other solutions with complete knowledge of their rational homotopy type.
Human–computer interaction based on the intelligent information retrieval method for customer satisfaction in power system service
Authors: Qi Xiaoxuan , Zhang Yaling , Cao Sheng , Yan Shengping , Su Hongbang
Published: November 2021

The analysis of the information retrieval system focuses on the notion of appropriate and irrelevant documents. The performance predictor, including accuracy and reminder, is used to establish how well the device satisfies consumer requirements. The effectiveness of the indexing and retrieval is calculated by contrasting a typical collection of queries and documents with the efficacy, functionality, and systemic approach. Important evaluations are used to measure functionality, performance (precession and retraction), compilation, and interface assessments. Document and query indexing, query assessment, and system assessment are key issues in information retrieval. This paper uses the human–computer interaction based on the intelligent information retrieval method (HCI-IRM). The proposed method concentrates on customer satisfaction, the main success assessment metric. It identifies the collection of related records at a given time within the collection. An information retrieval system’s main objective is to obtain the information. It is either the actual information or the documents containing the information substitutes which completely or partly correspond to the customer’s query evaluation. The extraction and recruitment of knowledge-based data from a database are usually related to the retrieval of information. The retrieval and precise technology are used to assess the efficiency of the data recovery system framework. As a result, HCI-IRM enhances the response time, and the relevance of the outcomes is key to customer satisfaction. Comparison of Yahoo and Google search engines focused on accuracy and reminder technology.
Design and simulation of AI remote terminal user identity recognition system based on reinforcement learning
Authors: Chen Yan
Published: November 2021

Presently, the design process of the AI remote server can enable the user to evaluate whether an authorized user can gain emotional responses when they establish an emotional product interface in the approach of the interaction with the device. Therefore, it is necessary for user experience and the ability to address the user’s emotional expectations. This paper proposes an artificial intelligence-based user face recognition response system (AI-UFRRS) to monitor users’ emotions in real life continually and provide new insights into their emotional responses and transitions. The user face recognition response system design is analyzed based on device intelligence. Eventually, the response system is improved and strategy based on an intelligent device. The proposed AI-UFRRS utilizes reinforcement learning technologies to maintain emotional processing in substantial information relating to the user’s identity. This paper offers AI remote strategies to reduce identification information and maximize information on emotions formed by reinforcement learning. The results suggest that the system provided can perform a convolute transformation to maintain user recognition accuracy and reduce face identity recognition. Thus, the experimental results of AI-UFRRS show the improved accuracy ratio of 95.6%, the recognition rate of 93.4%, emotion ratio of 95.5%, high response system ratio of 96.3%, and to increase user identification ratio of 91.8% and reduced false acceptance rate of 19.2%, the false rejection rate of 19.5% compared to other methods.
Deep Neural Networks Predict Inhibitors ofSchistosoma MansoniThioredoxin Glutathione Reductase (SmTGR)
Authors: Kwofie Samuel K. , Agyenkwa-Mawuli Kwasi , Adams Joseph , Anteh Phinehas , Agyapong Odame , Wilson Michael D.
Published: November 2021

Over 200 million people worldwide are affected annually by schistosomiasis with debilitating socio-economic effects. Praziquantel remains the main chemotherapy against this neglected tropical disease but there are reports of drug resistance. Therefore, necessitating the need to identify potential biotherapeutic molecules. The study describes the first deep learning (DL)-based computational models for predicting inhibitors of Schistosoma mansoni Thioredoxin glutathione reductase (SmTGR), which is an essential protein for the survival of the helminths in the host. The state-of-the-art performance of DL in similar applications makes it ideal to deploy on bioactive datasets of the SmTGR drug target. Cost-sensitive deep neural network classifiers were trained using the binary classification approach. Based on the area under curve (AUC) of the receiver operating characteristic (ROC) Curve scores (86.3–86.5%), the five best models generated were able to classify inhibitors with high accuracy (85–90%). Additionally, the DL classifier outperformed random forest by far. This is a proof of concept that deep neural networks can efficiently and robustly classify active schistosomal molecules from inactive. The generated models could be used to screen large-scale compound libraries to prioritize potential inhibitors for experimental characterization.
Robustness of Hopfield Neural Networks Described by Differential Algebraic Systems of Index-1 under the Conditions of Deviation Argument and Stochastic Disturbance
Authors: Liu Qing , Li Ping , Yang Zuqiao , Liu Zhibing
Published: November 2021

Robustness refers to the ability of a system to maintain its original state under a continuous disturbance conditions. The deviation argument (DA) and stochastic disturbances (SDs) are enough to disrupt a system and keep it off course. Therefore, it is of great significance to explore the interval length of the deviation function and the intensity of noise to make a system remain exponentially stable. In this paper, the robust stability of Hopfield neural network (VPHNN) models based on differential algebraic systems (DAS) is studied for the first time. By using integral inequalities, expectation inequalities, and the basic control theory method, the upper bound of the interval of the deviation function and the noise intensity are found, and the system is guaranteed to remain exponentially stable under these disturbances. It is shown that as long as the deviation and disturbance of a system are within a certain range, there will be no unstable consequences. Finally, several simulation examples are used to verify the effectiveness of the approach and are described below.
Using Proximity Graph Cut for Fast and Robust Instance‐Based Classification in Large Datasets
Authors: Protasov Stanislav , Khan Adil Mehmood
Published: November 2021

K‐nearest neighbours (kNN) is a very popular instance‐based classifier due to its simplicity and good empirical performance. However, large‐scale datasets are a big problem for building fast and compact neighbourhood‐based classifiers. This work presents the design and implementation of a classification algorithm with index data structures, which would allow us to build fast and scalable solutions for large multidimensional datasets. We propose a novel approach that uses navigable small‐world (NSW) proximity graph representation of large‐scale datasets. Our approach shows 2–4 times classification speedup for both average and 99th percentile time with asymptotically close classification accuracy compared to the 1‐NN method. We observe two orders of magnitude better classification time in cases when method uses swap memory. We show that NSW graph used in our method outperforms other proximity graphs in classification accuracy. Our results suggest that the algorithm can be used in large‐scale applications for fast and robust classification, especially when the search index is already constructed for the data.
Application of Soft Computing Paradigm to Large Deformation Analysis of Cantilever Beam under Point Load
Authors: Cui Yanmei , Hong Yong , Khan Naveed Ahmad , Sulaiman Muhammad
Published: November 2021

In this paper, a mathematical model for large deformation of a cantilever beam subjected to tip‐concentrated load is presented. The model is governed by nonlinear differential equations. Large deformation of a cantilever beam has number of applications is structural engineering. Since finding an exact solution to such nonlinear models is difficult task, this paper focuses on developing soft computing technique based on artificial neural networks (ANNs), generalized normal distribution optimization (GNDO) algorithm, and sequential quadratic programming (SQP). The strength of ANN modeling for governing the equation of cantilever beam is exploited by the global search ability of GNDO and further explored by the local search mechanism of SQP. Design scheme is evaluated for different cases depending on variations in dimensionless end‐point load (ρ). Furthermore, to validate the effectiveness and convergence of algorithm proposed technique, the results of the differential transformation method (DTM) and exact solutions are compared. The statistical analysis of performance indicators in terms of mean, median, and standard deviations further establishes the worth of ANN‐GNDO‐SQP algorithm.
Chylopericardium due to Subclavian Vein Thrombosis in the Setting of Protein S Deficiency
Authors: Jackson Ian , Alali Yaman , Anani Abedel Rahman , Nayfeh Ali , Sharma Arindam , Thandra Abhishek , Kabach Amjad
Published: November 2021

Background. Chylopericardium is the accumulation of lymphatic fluid in the pericardial cavity. It can be idiopathic or secondary to trauma, cardiothoracic surgery, neoplasm, radiation, tuberculosis, lymphatic duct dysfunction, thrombosis, or other causes. We present a case of chylopericardium due to subclavian vein thrombosis in a patient with protein S deficiency. Clinical Case. A 48-year-old man with a history of protein S deficiency presented to the emergency department with shortness of breath and a productive cough. CT of the chest showed pulmonary emboli, moderate pericardial effusion, and a large thrombus of the superior vena cava, brachiocephalic vein, and subclavian veins. He developed echocardiographic evidence of cardiac tamponade so he underwent pericardiocentesis with drainage of milky-appearing fluid. Analysis of the fluid showed elevated triglycerides consistent with chylopericardium. The pericardial effusion reaccumulated, likely secondary to lymphatic duct obstruction due to his subclavian vein thrombus. Catheter-assisted thrombolysis was performed with resolution of the patient’s effusion and symptoms. Conclusion. Chylopericardium is a rare but important complication of subclavian vein thrombosis. Management is typically with surgical intervention, although our case represents successful treatment with catheter-assisted thrombolysis.
Adjustable Piecewise Quartic Hermite Spline Curve with Parameters
Authors: Xie Jin , Liu Xiaoyan
Published: November 2021

In this paper, the quartic Hermite parametric interpolating spline curves are formed with the quartic Hermite basis functions with parameters, the parameter selections of the spline curves are investigated, and the criteria for the curve with the shortest arc length and the smoothest curve are given. When the interpolation conditions are set, the proposed spline curves not only achieve C1-continuity but also can realize shape control by choosing suitable parameters, which addressed the weakness of the classical cubic Hermite interpolating spline curves.
Traditional Chinese Medicine Text Similarity Calculation Model Based on the Bidirectional Temporal Siamese Network
Authors: Luo Jigen , Xiong Wangping , Du Jianqiang , Liu Yingfeng , Li Jianwen , Hu Dingxing
Published: November 2021

The text similarity calculation plays a crucial role as the core work of artificial intelligence commercial applications such as traditional Chinese medicine (TCM) auxiliary diagnosis, intelligent question and answer, and prescription recommendation. However, TCM texts have problems such as short sentence expression, inaccurate word segmentation, strong semantic relevance, high feature dimension, and sparseness. This study comprehensively considers the temporal information of sentence context and proposes a TCM text similarity calculation model based on the bidirectional temporal Siamese network (BTSN). We used the enhanced representation through knowledge integration (ERNIE) pretrained language model to train character vectors instead of word vectors and solved the problem of inaccurate word segmentation in TCM. In the Siamese network, the traditional fully connected neural network was replaced by a deep bidirectional long short-term memory (BLSTM) to capture the contextual semantics of the current word information. The improved similarity BLSTM was used to map the sentence that is to be tested into two sets of low-dimensional numerical vectors. Then, we performed similarity calculation training. Experiments on the two datasets of financial and TCM show that the performance of the BTSN model in this study was better than that of other similarity calculation models. When the number of layers of the BLSTM reached 6 layers, the accuracy of the model was the highest. This verifies that the text similarity calculation model proposed in this study has high engineering value.
The Preventive Effect of Cardiac Sympathetic Denervation Induced by 6‐OHDA on Myocardial Ischemia–Reperfusion Injury: The Changes of lncRNA/circRNAs‐miRNA‐mRNA Network of the Upper Thoracic Spinal Cord in Rats
Authors: Li Zhixiao , Li Yujuan , He Zhigang , Li Zhen , Xu Weiguo , Xiang HongBing
Published: November 2021

In this study, we investigated whether chemical 6‐hydroxydopamine (6‐OHDA) stimuli caused cardiac sympathetic denervation (SD), and we analyzed gene expression profiles to determine the changes in the lncRNA/circRNAs‐miRNA‐mRNA network in the affected spinal cord segments to identify putative target genes and molecular pathways in rats with myocardial ischemia–reperfusion injury (MIRI). Our results showed that cardiac sympathetic denervation induced by 6‐OHDA alleviated MIRI. Compared with the ischemia reperfusion (IR, MIRI model) group, there were 148 upregulated and 51 downregulated mRNAs, 165 upregulated and 168 downregulated lncRNAs, 70 upregulated and 52 downregulated circRNAs, and 12 upregulated and 11 downregulated miRNAs in the upper thoracic spinal cord of the SD‐IR group. Furthermore, we found that the differential genes related to cellular components were mainly enriched in extracellular and cortical cytoskeleton, and molecular functions were mainly enriched in chemokine activity. Pathway analysis showed that the differentially expressed genes were mainly related to the interaction of cytokines and cytokine receptors, sodium ion reabsorption, cysteine and methionine metabolism, mucoglycan biosynthesis, cGMP‐PKG signaling pathway, and MAPK signaling pathway. In conclusion, the lncRNA/circRNAs‐miRNA‐mRNA networks in the upper thoracic spinal cord play an important role in the preventive effect of cardiac sympathetic denervation induced by 6‐OHDA on MIRI, which offers new insights into the pathogenesis of MIRI and provides new targets for MIRI.
Expression of ANGPTL4 in Nucleus Pulposus Tissues Is Associated with Intervertebral Disc Degeneration
Authors: Liu Fan-jie , Xie Liang-yu , Li Hua-zhong , Cao Sheng-nan , Chen Yuan-zhen , Bin-Shi  , Wang Dan-dan
Published: November 2021

Objective. Angiopoietin-like protein 4 (ANGPTL4), encoding a glycosylated secreted protein, has been reported to be closely related to many kinds of diseases, including diabetes, tumor, and some musculoskeletal pathologies, such as rheumatoid arthritis, osteoarthritis, and osteoporosis. The aim of the current study is to investigate the role of ANGPTL4 in intervertebral disc degeneration and analyze the association of ANGPTL4 expression with Pfirrmann grades. Methods. A total of 162 nucleus pulposus tissues were collected from lumbar intervertebral disc herniation patients undergoing interforaminal endoscopic surgery. Real-time quantitative PCR and western blot were performed to determine the mRNA and protein expression of ANGPTL4 in nucleus pulposus samples. Statistical analysis was performed to analyze the association of ANGPTL4 expression with Pfirrmann grades. Results. Based on the clinical data of 162 patients, results showed that Pfirrmann grades were significantly associated with patients’ age (

r
=
0.162

,

P
=
0.047

) and were not significantly associated with patients’ gender (

P
>
0.05

). RT-qPCR and western blot results showed that the mRNA (

r
=
0.287

,

P
<
0.05

) and protein (

r
=
0.356

,

P
<
0.05

) expressions of ANGPTL4 were both closely associated with Pfirrmann grades. The expression of ANGPTL4 was remarkably increased in the groups of high IVDD Pfirrmann grades. Conclusion. The results demonstrated that ANGPTL4 expression was positively associated with the Pfirrmann grades and the severity of intervertebral disc degeneration. ANGPTL4 may be served as a candidate biomarker for intervertebral disc degeneration.
[Retracted] Research on the Application of Intelligent Choreography for Musical Theater Based on Mixture Density Network Algorithm
Authors: Cang Jun , Huang Yichen , Huang Yanhong
Published: November 2021

Musical choreography is usually completed by professional choreographers, which is very professional and time‐consuming. In order to realize the intelligent choreography of musical, based on the mixed density network (MDN), this paper generates the dance matching with the target music through three steps: motion generation, motion screening, and feature matching. The choreography results in this paper have a high degree of matching with music, which makes it possible for the development of motion capture technology and artificial intelligence and computer automatic choreography based on music. In the process of motion generation, the average value of Gaussian model output by MDN is used as the bone position and the consistency of motion is measured according to the change rate of joint velocity in adjacent frames in the process of motion selection. Compared with the existing studies, the dance generated in this paper has improved in motion coherence and realism. In this paper, a multilevel music and action feature matching algorithm combining global feature matching and local feature matching is proposed. The algorithm improves the unity and coherence of music and action. The algorithm proposed in this paper improves the consistency and novelty of movement, the compatibility with music, and the controllability of dance characteristics. Therefore, the algorithm in this paper technically changes the way of artistic creation and provides the possibility for the development of motion capture technology and artificial intelligence.
Recognition of Taxi Violations Based on Semantic Segmentation of PSPNet and Improved YOLOv3
Authors: Yang Qiong , Yu Lifeng
Published: November 2021

Taxi has the characteristics of strong mobility and wide dispersion, which makes it difficult for relevant law enforcement officers to make accurate judgment on their illegal acts quickly and accurately. With the investment of intelligent transportation system, image analysis technology has become a new method to determine the illegal behavior of taxis, but the current image analysis method is still difficult to support the detection of illegal behavior of taxis in the actual complex image scene. To solve this problem, this study proposed a method of taxi violation recognition based on semantic segmentation of PSPNet and improved YOLOv3. (1) Based on YOLOv3, the proposed method introduces spatial pyramid pooling (SPP) for taxi recognition, which can convert vehicle feature images with different resolutions into feature vectors with the same dimension as the full connection layer and solve the problem of repeated extraction of YOLOv3 vehicle image features. (2) This method can recognize two different violations of taxi (blocking license plate and illegal parking) rather than only one. (3) Based on PSPNet semantic segmentation network, a taxi illegal parking detection method is proposed. This method can collect the global information of road condition images and aggregate the image information of different regions, so as to improve the ability to obtain the global information orderly and improve the accuracy of taxi illegal parking detection. The experimental results show that the proposed method has excellent recognition performance for the detection rate of license plate occlusion behavior DR is 85.3%, and the detection rate of taxi illegal parking phenomenon DR is 96.1%.
A Best Cost of Null Controllability for the 1D Heat Equation by Strategic Zone Profile
Authors: Seck Cheikh , Ane Mame  Libasse  Laye
Published: November 2021

This study is the third step of a project on the null controllability of the 1D heat equation. First, we show a boundary and internal results of controllability by a new approach using a linear, continuous, and surjective operator built from the solution of the heat system. Second, we improve the minimum time of null controllability of the 1D heat equation by using the notion of strategic zone actuators. So, we managed to improve the minimal time of null controllability to the 1D heat equation. In this study, the best minimum cost of null controllability has been estimated for the 1D heat equation based on the minimum controllability time calculated in the second step.
Effect of Wenshentiaojing Decoction on Hormone Level and Follicular Number in Patients with Menstrual Disorder of Polycystic Ovary Syndrome
Authors: Li Lanzhi , Huang Ning , Qi Yanyan , Li Yan , Wang Lu
Published: November 2021

Objective. To explore the curative effect of Wenshentiaojing Decoction on the treatment of menstrual disorder caused by PCOS. Methods. Patients with menstrual disorders caused by PCOS admitted to our department from January 2020 to January 2021 were selected as the research objects and were divided into a control group and observation group according to the random number table method. The control group was treated with Western medicine, and the observation group was treated with Wenshentiaojing Decoction on the basis of Western medicine. The clinical efficacy of the two groups was compared. Before and after treatment, sex hormones (LH, FSH, LH/FSH, and testosterone (T)), ovarian volume, endometrial thickness, cervical mucus score, follicular number, menstrual conditions (menstrual duration, menstrual cycle, and menstrual volume), and other indicators in both groups were recorded. Results. After treatment, the total effective rate of the observation group (91.1% (41/45)) was higher than that of the control group (77.8% (35/45)), and the difference was statistically significant (

P
<
0.05

). After treatment, the LH, LH/FSH, and T levels in the observation group were lower than those in the control group, while the FSH level was higher than that in the control group (

P
<
0.05

). After treatment, the ovarian volume, endometrial thickness, cervical mucus score, and follicle number in the observation group were higher than those in the control group (

P
<
0.05

). After treatment, the menstrual duration and menstrual volume in the observation group were longer than those in the conventional group, and the menstrual cycle was shorter than that in the conventional group (

P
<
0.05

). Conclusion. For patients with menstrual disorders caused by PCOS, the treatment effect of Wenshentiaojing Decoction assisted with Western medicine is better, which can effectively improve the level of sex hormones, cervical mucus, and menstrual conditions, increase the ovarian volume, endometrial thickness, and follicle number, and improve the treatment effect, with fewer adverse reactions, which is worthy of further promotion and application.
A Theoretical Comprehensive Framework for the Process of Theories Formation
Authors: Shahaf Goded
Published: November 2021

Scientists rely more and more upon computerized data mining and artificial intelligence to analyze data sets and identify association rules, which serve as the basis of evolving theories. This tendency is likely to expand, and computerized intelligence is likely to take a leading role in scientific theorizing. While the ever‐advancing technology could be of great benefit, scientists with expertise in many research fields do not necessarily understand thoroughly enough the various assumptions, which underlie different data mining methods and which pose significant limitations on the association rules that could be identified in the first place. There seems to be a need for a comprehensive framework, which should present the various possible technological aids in the context of our neurocognitive process of theorizing and identifying association rules. Such a framework can be hopefully used to understand, identify, and overcome the limitations of the currently fragmented processes of technology‐based theorizing and the formation of association rules in any research field. In order to meet this end, we divide theorizing into underlying neurocognitive components, describe their current technological expansions and limitations, and offer a possible comprehensive computational framework for each such component and their combination.
Patient-Matched 3-D-Printed Guides for the Insertion of Cervical Pedicle Screws in Tumor Surgery
Authors: Heyde C.-E. , Osterhoff G. , UJA Spiegl , Völker A. , von der Höh N. H. , Jarvers J. S.
Published: November 2021

Background. Pedicle screw fixation in the cervical spine provides biomechanical advantages compared to other stabilization techniques. However, pedicle screw insertion in this area is challenging due to the anatomical conditions with a high risk of breaching the small pedicles and violating the vertebral artery or neural structures. Today, several techniques to facilitate screw insertion and to make the procedure safer are used. 3-D-printed patient-matched guides based on a CT reconstruction are a helpful technique which allows to reduce operation time and to improve the safety of pedicle screw insertion at the cervical spine. Cases. 3-D-printed patient-matched drill guides based on a CT scan with a 3-D reconstruction of the spine were used in two challenging cervical spine surgical tumor cases to facilitate the implantation of the pedicle screws. The screw position was controlled postoperatively by means of the routinely performed CT scan. Results. Postoperative imaging (conventional radiographs and CT scan) revealed the correct position of the pedicle screws. The time needed for screw insertion was short, and the need for intraoperative fluoroscopy could be reduced. There was no intra- or postoperative complication related to the pedicle screw implantation. Both tumors could be removed completely. Conclusion. These preliminary results show that 3-D-printed patient-specific guides are a promising tool to support and facilitate the implantation of cervical pedicle screws. The time needed for insertion is short, and intraoperative fluoroscopy time can be reduced. This technique allows for both a meticulous preoperative planning and a correct and therefore safe intraoperative positioning of cervical spine pedicle screws.
The Influence of Treated and Untreated Subclinical Hypothyroidism on Metabolic Profile in Women with Polycystic Ovary Syndrome
Authors: Kowalczyk Karolina , Radosz Patrycja , Barański Kamil , Pluta Dagmara , Kowalczyk Dariusz , Franik Grzegorz , Madej Paweł
Published: November 2021

Background. Polycystic ovary syndrome (PCOS) and hypothyroidism are the most common endocrinological disorders among women of reproductive age. Since hypothyroidism occurs more frequently in PCOS patients, it is vital to explain its clinical impact. Aim. To evaluate the impact of subclinical hypothyroidism (SCH) and its treatment on the metabolic profile of patients with PCOS. Methods. 190 women with PCOS phenotype A were enrolled in the case-control study. They were divided into three groups: 38 women with PCOS and subclinical hypothyroidism, 76 women with PCOS and SCH under thyroid replacement therapy, and 76 women with PCOS and normal thyroid function (control group). Serum lipids, fasting glucose, and insulin, as well as oral glucose tolerance tests were performed. Results. In the analyzed parameters, there were no statistic differences between the groups in relation to thyroid function. BMI turned out to be the main factor dividing the patients in terms of serum lipids, fasting glucose, fasting insulin, and oral glucose tolerance test. TSH was associated with total cholesterol and LDL cholesterol levels, whereas BMI has a dominant impact on HDL cholesterol, triglycerides, glucose, and insulin resistance. Conclusions. SCH is associated with mild lipid serum alterations in women with PCOS, but it is BMI to have a dominant impact on glucose and insulin. It seems that treatment of SCH in PCOS does not significantly alter lipid and glucose metabolism.
Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid
Authors: Guo Wei , Zhang Kai , Wei Xinjie , Liu Mei
Published: November 2021

Short-term load forecasting is an important part to support the planning and operation of power grid, but the current load forecasting methods have the problem of poor adaptive ability of model parameters, which are difficult to ensure the demand for efficient and accurate power grid load forecasting. To solve this problem, a short-term load forecasting method for smart grid is proposed based on multilayer network model. This method uses the integrated empirical mode decomposition (IEMD) method to realize the orderly and reliable load state data and provides high-quality data support for the prediction network model. The enhanced network inception module is used to adaptively adjust the parameters of the deep neural network (DNN) prediction model to improve the fitting and tracking ability of the prediction network. At the same time, the introduction of hybrid particle swarm optimization algorithm further enhances the dynamic optimization ability of deep reinforcement learning model parameters and can realize the accurate prediction of short-term load of smart grid. The simulation results show that the mean absolute percentage error

e

MAPE

and root-mean-square error

e

RMSE

of the performance indexes of the prediction model are 10.01% and 2.156 MW, respectively, showing excellent curve fitting ability and load forecasting ability.
Perceptions of Residents on the Microlearning Environment in Postgraduate Clinical Training
Authors: Iqbal Muhammad Zafar , Alaskar Mohammad , Alahmadi Yazeed , Alhwiesh Badran Abdullah , Mahrous Abdullah Abdulrahman
Published: November 2021

Background. Teaching hospitals are the primary locus of training for residents, and the afforded microlearning environments can affect their level of satisfaction, competence, and learning processes. Since limited attention has been directed towards evaluating the microlearning environment, how Saudi postgraduate residents perceive it remains unknown. Objectives. This study evaluated the microlearning environments for major clinical specialties in a tertiary care teaching hospital. It also investigated the association between satisfaction levels and the age and gender of the participants, as well as their stage and specialty. Methods and Methods. A questionnaire-based, observational study was conducted using a prevalidated HEMLEM tool for data collection. Data were collected using the QuestionPro® survey tool and analyzed using SPSS version 23 software. A one-way ANOVA and t-test were performed to compare different subgroups. Results. In total, 129 residents participated in the study, representing a response rate of 87.16%. The overall mean value for microlearning environment satisfaction was 50.21. Females scored higher relative to males. Maximum satisfaction with the microlearning environment was observed in the age group 25–30 years and among internal medicine residents. Conclusion. Overall, a satisfactory score on the HEMLEM tool was recorded, suggesting the majority of residents are satisfied with the microlearning environment at KFHU. Supervisors, program directors, and curriculum planners could use our findings to further improve the educational climates within their training specialties.
The Practicality of Adopting Blockchain-Based Distributed Identity Management in Organisations: A Meta-Synthesis
Authors: Mulaji Sarah S. M. , Roodt Sumarie S.
Published: November 2021

Blockchain has become an irresistible disruptive technology with the potential to innovate businesses. Ignoring it may in itself result in a competitive disadvantage for organisations. Except for its original financial application of cryptocurrency, more applications are being proposed, the most common being supply chain management and e-voting systems. However, less focus is made on information and cybersecurity applications of blockchain, especially from the enterprise perspective. This paper addresses this knowledge gap by exploring blockchain as a use case for identity management in the context of an organisation. The paper gives a comprehensive background aiming at understanding the topic, including understanding whether claims made around it, especially blockchain’s potential to address identity management challenges, are based on facts or just a result of hype. Meta-synthesis was used as a research methodology to summarise the 69 papers selected qualitatively from reputed academic sources. The general trend shows theoretical evidence supporting some of the claims made but not necessarily friendly to the enterprise context. The study reveals a promising but immature state of blockchain, consequently questioning whether adopting blockchain-based distributed identity management in organisations is fully practical. A research model called TOE-BDIDM is proposed to guide further investigation.
Fabry Nephropathy in a Young Female Patient Presenting with Only Urinary Mulberry Bodies Treated with Chaperone Therapy
Authors: Fukunaga Tsugumi , Nakayama Shingo , Hirose Takuo , Muramatsu Kishin , Endo Akari , Miyake Yuka , Anan Go , Oba-Yabana Ikuko , Kanno Atsuhiro , Nakamura Hannah , Tani Junichi , Nakamura Kimitoshi , Sumitomo Kazuhiro , Yumura Wako , Furukawa Katsutoshi , Mori Takefumi
Published: November 2021

Fabry disease (FD) is an X-linked disorder of the sphingolipid metabolism, caused by deficiency or decreased activity of α-galactosidase A. We report a rare case of Fabry nephropathy (FN) in a 21-year-old Japanese female patient presenting with only urinary mulberry bodies; she was treated with pharmacological chaperone therapy (PCT) after renal biopsy. The patient underwent a detailed examination because her mother was diagnosed with FD in the Division of Community Medicine of our hospital. She did not have renal dysfunction or proteinuria, and only mulberry bodies were detected in the urine. The activity of α-galactosidase A was low, and genetic analysis revealed the R301Q mutation. A percutaneous renal biopsy was performed, and the findings revealed enlargement and vacuolation of glomerular podocytes by light microscopy, and myelin and zebra bodies were detected in podocytes by electron microscopy. She was diagnosed with FN by renal biopsy and gene analysis. PCT was selected as the treatment to prevent cardiac events and renal dysfunction. The present case suggests that renal biopsy may be necessary even for young women with only mulberry bodies for the diagnosis of FN. It could be useful to evaluate the effect of treatment using the counts of mulberry bodies in the urine. In addition, due to its oral administration, PCT may be suitable for patients who are unable to visit the hospital frequently.
Oculomotor Nerve Palsy as a Presenting Symptom of Epstein-Barr Virus-Associated Infectious Mononucleosis: Case Report and Review of the Literature
Authors: Steiner Leon Amadeus , Erbay Aslihan , Pache Florence , Niederschweiberer Moritz , Siebert Eberhard , Gertz Karen , Ruprecht Klemens
Published: November 2021

Primary Epstein-Barr virus (EBV) infection is the main cause of infectious mononucleosis (IM), which typically presents with a triad of fever, lymphadenopathy, and tonsillar pharyngitis in young adults. In contrast, neurological manifestations of IM are rare. We report on a 23-year-old man with subacute oculomotor nerve palsy followed by symptoms of IM 6 days later. Primary EBV infection was confirmed by PCR detection of EBV DNA in blood as well as by subsequent serology. High-resolution magnetic resonance imaging revealed an edematous change at the root exit zone and gadolinium enhancement of the right oculomotor nerve as well as pial enhancement adjacent to the right ventral mesencephalon. A review of the literature identified 5 further patients with isolated oculomotor nerve palsy as the presenting symptom of unfolding primary EBV infection. MRIs performed in 3 of those 5 patients revealed a pattern of contrast enhancement similar to that of the present case. This case report and literature review highlight that, although rare, IM should be considered in the differential diagnosis of oculomotor nerve palsy in young adults.
Thrombotic Microangiopathy Associated with Gemcitabine in Non-Small Cell Lung Cancer: A Case Report
Authors: Kuribayashi Tadahiro , Fujiwara Keiichi , Onishi Kiriko , Mitsumune Sho , Takigawa Yuki , Watanabe Hiromi , Kudo Kenichiro , Sato Akiko , Sato Ken , Kitagawa Masashi , Ota Kosuke , Shinno Yoko , Shibayama Takuo
Published: November 2021

A 69-year-old man with refractory lung adenocarcinoma was treated with gemcitabine and vinorelbine. Dyspnea and hypertension developed after the 17th cycle of chemotherapy. Laboratory findings revealed intravascular hemolysis and renal dysfunction. Thrombotic microangiopathy (TMA) was confirmed by renal biopsy. Antihypertensive and steroid therapies were ineffective. After plasmapheresis, intravascular hemolysis and renal dysfunction gradually improved. However, the disease progressed, and he died 6 months after TMA diagnosis. Autopsy revealed similar pathological findings to those of the renal biopsy. It is important to discontinue gemcitabine at the onset of TMA and consider TMA when using gemcitabine for long periods.
CLINICAL OUTCOMES AND ADVERSE DRUG REACTIONS IN COVID-19 PATIENTS TREATED WITH HYDROXYCHLOROQUINE AND AZITHROMYCIN ALONE OR COMBINED
Authors: Rathi H. , Rathi P. , Biyani M.
Published: November 2021

Background. Use of Hydroxychloroquine with or without Azithromycin is repurposed in SARS-CoV-2 in the absence of definitive treatment.
Objective. To evaluate the association between the use of Hydroxychloroquine and Azithromycin when given alone or in combination on clinical outcomes and adverse drug reactions among lab confirmed SARS CoV-2 positive patients admitted in a COVID tertiary care hospital of a University Medical college.
Methods. a retrospective observational comparative study was conducted. COVID-19 positive patients admitted in study hospital for management of COVID-19 were enrolled into the study. The patients were categorized into 4 treatment groups based on having received the following treatment during hospitalization: (A) Hydroxychloroquine with Azithromycin, (B) Hydroxychloroquine without Azithromycin (Hydroxychloroquine alone), (C) Azithromycin alone, and (D) Neither drug, defined as no receipt of either Hydroxychloroquine or Azithromycin in the record; other medications may have been dispensed.
Results. 800 patients were enrolled. Mean±Standard deviation of duration of hospital stay (in days) for study Group A was 11.37±7.11, for Group B was 8.37±4.77, for Group C was 18.22 ± 5.69 and for Group D was 6.12±2.97. Mortality in Group A was 29.74%, Group B – 33.16%, Group C – 0% and in Group D – 1.32%.
Conclusion. Among hospitalized patients with COVID-19 treatment, Group C was associated with good clinical outcome. However, the interpretation of these findings may be limited by the observational design.
VITAMIN D AND UROLITHIASIS IN CHILDREN
Authors: Yusupov Sh. A. , Shamsiev A. M. , Shamsiev J. A. , Pulotov P. A.
Published: November 2021

Background. Urolithiasis is currently one of the topical issues of contemporary urology and medicine in general. This is primarily due to the high prevalence of urolithiasis; according to several population studies it ranges from 3.5 to 9.6%. At the same time, there is a steady increase in its incidence. Therefore, the matter of urolithiasis is one of the most urgent in present-day medicine.

Objectives. The aim of the research was to study the content of a polymorphic genetic marker of the vitamin D receptor gene related to development and relapse of urolithiasis in children.

Methods. The content of a polymorphic genetic marker of the vitamin D receptor gene related to development and relapse of urolithiasis in 100 children was investigated.

Results. The results of the study prove that the vitamin D receptor gene assists in revealing disorders that promote urolithiasis development.

Conclusion. Comparative analysis of the frequency of distribution of Fok1 genotypes of the vitamin D receptor gene polymorphism showed that statistical significance of the association (p=0.02) of f allele according to the dominant inheritance model (total Ff+ff genotypes) was established in the group of patients with urolithiasis compare to the corresponding indicator of the control group (63%).
Artistas do (fim do) mundo: autodefinição, implicação y criação
Authors: Primeira Carolina , Vermelho Malandro
Published: November 2021

A partir das exposições “Preto ao Cubo” y “Fragrante Mostra de Arte”, acontecidas na cidade de Juiz de Fora, y entre xs artistas participantes de ambas as exposições, o artigo pretende ler y pensar y escrever com as obras das negras, mulheres y artistas: Zaira Tarin, Paula Duarte y Iúna. Através da poesia, elas nos proporcionam reflexões sobre autodefinição, implicação, y criações de mundo. Começando pelas exposições para mergulhar na poética dessas três mulheres, o objetivo do presente artigo é pensar com esses conceitos estruturados nos trabalhos artísticos.
Procurando Diva no Sul Global: feminismo, arte e política
Authors: Oliveira Cláudia de , Guerra Paula
Published: November 2021

Este artigo analisa a obra Diva de Juliana Notari. Ao se tratar de uma vulva gigante que emerge no meio de uma área que fora um canavial, em Pernambuco, várias ondas de contestação emergiram. Pretendemos evidenciar que esta produção artística se assume como um retrato do artivismo estético e político, mas também enquadrá-la no âmbito dos processos de resistência que demarcam o Sul Global, em que as desigualdades de gênero são profundas. É a partir de uma metodologia de caráter qualitativo, assente numa análise de conteúdo da obra da artista Juliana Notari que fundamos a nossa análise, procurando refletir e questionar os cânones do gênio masculino, bem como a evolução e a consolidação de uma história social da arte feminista.
Cumulative Concussion and Odds of Stroke in Former National Football League Players
Authors: Brett Benjamin L. , Kerr Zachary Y. , Aggarwal Neelum T. , Chandran Avinash , Mannix Rebekah , Walton Samuel , DeFreese J.D. , Echemendia Ruben J. , Guskiewicz Kevin M. , McCrea Michael A. , Meehan William P.
Published: November 2021

Background and Purpose:

Postmortem and experimental studies indicate a potential association between repeated concussions and stroke risk in older contact sport athletes. We examined the relationship between concussion and stroke history in former National Football League players aged ≥50 years.

Methods:

Former professional football players aged ≥50 years who played ≥1 year in the National Football League were enrolled in the cross-sectional study. Indirect standardization was used to calculate overall and decade-specific standardized prevalence ratios. Logistic regression using Firth’s bias reduction method examined the association between lifetime concussion history 0 (n=119; 12.2%), 1 to 2 (n=152; 15.5%), 3 to 5 (n=242; 24.7%), 6 to 9 (201; 20.5%), and 10+(n=265; 27.1%) and stroke. Adjusted odds ratios for stroke were calculated for concussion history groups, age, and coronary artery disease and/or myocardial infarction.

Results:

The 979 participants who met inclusion criteria had a mean age of 65.0±9.0 years (range, 50–99). The prevalence of stroke was 3.4% (n=33), significantly lower than expected based on rates of stroke in US men aged 50 and over (standardized prevalence ratio=0.56, Z= −4.56,
P
<0.001). Greater odds of stroke history were associated with concussion history (10+ versus 0, adjusted odds ratio [95% CI]=5.51 [1.61–28.95]), cardiovascular disease (adjusted odds ratio [95% CI]=2.24 [1.01–4.77]), and age (1-year-increase adjusted odds ratio [95% CI]=1.07 [1.02–1.11]).

Conclusions:

The prevalence of stroke among former National Football League players aged ≥50 years was lower than the general population, with significantly increased risk among those with 10 or more prior concussions. Findings add to the evidence suggesting that traumatic brain injuries are associated with increased risk of stroke. Clinically, management of cardio- and cerebrovascular health may be pertinent to those with a history of multiple prior concussions.
As the Deep River Rises
Authors: Weisberg Alexander M. , Mayse Ariel Evan
Published: November 2021

The present essay seeks to offer a conceptual framework for grappling with climate change from within the sources of Jewish law (halakhah), a discourse rooted in the Hebrew Bible but developed in the rabbinic literature of Late Antiquity and then in medieval and modern codes and commentaries. Halakhah reflects deeply-held intellectual, theological, ontological, and sociological values. As a modus vivendi, rabbinic law—variously interpreted by Jews of different stripes—remains a vital force that shapes the life of contemporary practitioners. We are interested in how a variety of contemporary scholars, theologians, and activists might use the full range of rabbinic legal sources—and their philosophical, jurisprudential, and moral values—to construct an alternative environmental ethic founded in a worldview rooted in obligation and a matrix of kinship relationships. Our essay is thus an exercise in decolonizing knowledge by moving beyond the search for environmental keywords or ready analogies to contemporary western discourse. We join the voices of recent scholars who have sought to revise regnant assumptions about how religious traditions should be read and interpreted with an eye to formulating constructive ethics.
History, Materialism, Historical Materialism: A Response to Carolyn Lesjak and Stefano Ercolino
Authors: Moretti Franco
Published: November 2021

Written in response to Carolyn Lesjak and Stefano Ercolino, this article reconstructs the author’s changing relationship to historical materialism.