bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Machine Learning and Digital Information Technology in Volleyball
Authors: Yu Zhida , Zhong Yuanyuan , Shao Zhe
Published: July 2022

Since the 1980s, machine learning has attracted extensive attention in the field of artificial intelligence. Following the expert system, it opened a precedent for the application of machine learning in the field of artificial intelligence and became one of the important topics of artificial intelligence. However, in the field of volleyball, the application of machine learning and information technology in volleyball is extremely limited. Volleyball has not developed widely in society nor has it become a common event in people’s daily life. Therefore, the development of volleyball in China lags behind. Unlike other sports, volleyball requires both strong skills and playing tactics. While taking into account the technical and tactical aspects, the requirements for the comprehensive quality and learning ability of both sides of the teaching are relatively strict. If the application of modern information technology is neglected, it may affect the teaching effect of volleyball and hinder the long-term spread of volleyball. The article starts with the serving, landing, and blocking of two groups of volleyball players with different sports levels. Through the application of machine learning and digital information technology in volleyball, as well as the use of artificial neural networks and genetic algorithms, the reaction time and accuracy of judging serving, landing, and blocking are improved, and specific application strategies are further proposed. According to the influence of athletes of different levels on the cognition of volleyball landing points, it can be seen that there are three parts that account for 40% of the allocation.
Clinical Symptoms and Quality of Life Improvement Value of Ornidazole Mixture in Auxiliary Filling Treatment of Patients with Endodontic Disease
Authors: Sun Nana , Wang Nannan , Qu Lina
Published: July 2022

To evaluate the clinical effect of ornidazole mixture in auxiliary filling of patients with endodontic disease. A total of 124 patients with endodontic diseases admitted to our hospital from January 2020 to December 2021 were included and divided into two groups according to the random number table. The observation group (n = 62) was given ornidazole mixture‐assisted filling, while the control group (n = 62) was given pulp mummification filling to evaluate its application effect. Compared with the control group, the disappearance time of tooth hyperesthesia, gingival redness, and pain symptoms in the observation group were significantly shorter and the difference had statistical significance (P < 0.05); the excellent and good rate of the observation group was 96.77% and 85.48%, respectively, and the difference had statistical significance (P < 0.05); the masticatory efficiency, occlusal force, and oral health‐related quality of life scores in the observation group were higher than those in the control group after treatment, and the difference had statistical significance (P < 0.05). Ornidazole mixture can promote the curative effect, shorten the time of symptom disappearance, and effectively improve the masticatory function and quality of life in patients with endodontic diseases.
Adaptive Event‐Triggered Finite‐Time Tracking of Output‐Constrained High‐Order Nonlinear Systems with Time‐Varying Powers
Authors: Liu Fan , Wu You
Published: July 2022

This paper studies the adaptive event‐triggered finite‐time tracking of output‐constrained high‐order nonlinear systems with time‐varying powers. Due to the presence of multiple unknown powers and the consideration of event‐triggered control, all the existing control methods of output‐constrained nonlinear systems are inapplicable. By introducing nonlinear mappings, finite‐time performance functions, and low‐power and high‐power terms into adding a power integrator technique and the relative threshold strategy, an adaptive state‐feedback controller is designed to eliminate the effects caused by the output constraint and time‐varying powers. It is proved that all the closed‐loop signals are bounded, the asymmetric time‐varying output constraint is not violated, and the tracking error converges to a prescribed arbitrarily small region around zero in a preassigned finite time. Furthermore, the Zeno phenomenon can be avoided. Two simulation examples demonstrate the effectiveness of this control scheme.
Big Data Analysis Model for Vocational Education Employment Rate Prediction
Authors: Wang Lili
Published: July 2022

Vocational education is an important means to promote the development of the national manufacturing industry. To correctly grasp the relationship between vocational education and the labor market, we start with the quality of vocational education and employment rate and study the interconnection between them. To this end, we propose a vocational education employment rate prediction method based on a big data model and build a vocational education quality assessment and employment rate prediction system. We draw on the big data cross-learning model to improve the model hyperparameters by using generalized intersection sets on the joint loss function to compensate for the shortcomings of dense vocational education datasets. We use the GSA algorithm to enhance the local features of different vocational education quality assessment index data series. To scientifically assess the recognition of vocational education, we evaluate the vocational education assessment indexes at the student level and the parent level to verify the reliability of the experiment. The experimental results prove that our method performs best in the prediction accuracy of vocational education quality assessment indicators, and the prediction accuracy rate stays above 91%. In the prediction of vocational education employment rate, the difference between the predicted and actual values of our method is the smallest, and the difference stays within 1%. Compared with other big data models, our method has higher prediction accuracy and better robustness.
Protective Effects of Shen-Yuan-Dan Capsule against Ischemia/Reperfusion Injury in Cardiomyocytes by Alleviating Endoplasmic Reticulum Stress
Authors: Tong Tong , Yang Zhihai , Chen Jiaxing , Gong Tao , Liu Hongxu
Published: July 2022

Objective. Endoplasmic reticulum (ER) stress leads to the accumulation of misfolded proteins and an active unfolded protein response (UPR). If the ER stress is not resolved, the UPR triggers activation of the apoptotic cell death program. It has been shown that ischemia/reperfusion (I/R) injury can induce apoptosis via the ER stress pathway. We previously found that Shen-Yuan-Dan capsule (SYDC), a widely used traditional Chinese medicine, reduces I/R injury. Here, we investigated whether SYDC protects against cardiomyocyte apoptosis by reducing ER stress during I/R injury and. if so, explored its mechanism of action. Methods. We use forty male Wistar rats to prepare the SYDC pharmacological serum. An I/R injury model was established using cultures of neonatal rat ventricular myocytes where cells were exposed to 2 h of reduced oxygenation followed by 4 h of normal oxygenation. After treatment of cultured cells with serum containing SYDC for 4 h, reverse transcription polymerase chain reaction and western blotting were performed to assess the expression levels of target molecules. Results. Ischemia/reperfusion (I/R) clearly decreased cell viability. Treatment of cells with SYDC in serum (5% and 10%) increased cell viability compared with control serum-treated I/R cardiomyocytes. The mRNA levels of glucose-regulated protein 78 (Grp78), C/EBP homologous protein (CHOP), and caspase-12 were significantly upregulated in the I/R group. The mRNA levels of Grp78, CHOP, and caspase-12 were significantly decreased in the 5% and 10% SYDC groups compared to the I/R group. The protein expression levels of Grp78, CHOP, and caspase-12 were significantly upregulated in the I/R group. Treatment of I/R cardiomyocytes with 5% or 10% SYDC reduced the expression levels of CHOP and caspase-12, while the control serum did not show this effect. Conclusions. These findings demonstrate that SYDC alleviates ER stress and prevents ER stress-induced apoptosis via the CHOP-dependent pathway.
EFP‐GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty
Authors: Rouzpeykar Yaser , Soltani Roya , Afashr Kazemi Mohammad Ali
Published: July 2022

The aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. This paper presents an integrated p‐hub location and revenue management problem under uncertain demand to maximize net revenue and minimize total cost, including hub establishment and transportation costs. A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. The mining and petroleum industry is used for case studies. Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time.
Factors Associated with Baseline CD4 Cell Counts and Advanced HIV Disease among Male and Female HIV-Positive Patients in Iran: A Retrospective Cohort Study
Authors: Afrashteh Sima , Fararouei Mohammad , Ghaem Haleh , Aryaie Mohammad
Published: July 2022

Despite the recommendation for early diagnosis and rapid initiation of HIV treatment, more than half of patients are in an advanced stage of HIV disease in Iran. This study aimed to investigate the factors related to baseline CD4 cell count and advanced HIV disease (AHD) in Southern Iran. The study comprised all adults between 15 and 87 years of age who were newly diagnosed with HIV in Southern Iran. Linear and logistic regressions were used to identify baseline CD4 cell count predictors and AHD, respectively. A total of 820 (53.9%) HIV-infected individuals over 15 years of age were at the AHD stage. Based on the results of the multiple logistic regression, older age at diagnosis (OR≥40/<30 = 2.68, 95% CI = 1.38–5.19), gender (ORfemale/male = 0.62, 95% CI = 0.44–0.85), HIV/TB coinfection (ORyes/no = 1.98, 95% CI = 1.29–3.02), HIV/HBV coinfection (ORyes/no = 1.58, 95% CI = 1.07–2.38), and hemoglobin (OR = 0.89, 95% CI = 0.85–0.92) were directly associated with AHD in HIV/AIDS patients. As suggested by a linear regression model, factors including gender (B Female = 44.12, 95% CI:17.86, 70.38), older age (B ≥ 40 = −111.99, 95% CI:−174.70, −49.27), higher education level (B = 35.65, 95% CI:5.34, 65.97), WHO clinical stage (BIV = −254.53, 95% CI−298.82, −210.24), and hemoglobin (B = 5.23, 95% CI:0.25, 10.20) were significantly associated with CD4 count.The prevalence of AHD in patients was high in Iran. Our results suggested that several demographic and clinical factors are significantly associated with the baseline CD4 cell count and AHD. Targeted HIV testing, implementation of screening programs for early detection, and access to care services to assure early ART are recommended to improve the clinical status and quality of life of the patients.
Fault Diagnosis Method and Application of ESP Well Based on SPC Rules and Real-Time Data Fusion
Authors: Yang Junzheng , Wang Song , Zheng Chunfeng , Feng Gang , Du Guanghao , Tan Chaodong , Ma Dan
Published: July 2022

Aiming at the popularization and application of a real-time monitoring parameter acquisition system of the electric submersible pump (ESP) well, this paper proposes a fault diagnosis method of ESP well operation based on the SPC rule and prior knowledge fusion. Based on the study of parameter variation rules of ESP well, the SPC expansion rule model is established; by analyzing the variation of some typical characteristic parameters of ESP well, combined with SPC expansion rules and expert experience, a priori knowledge of fault diagnosis of ESP well is formed, that is, multiparameter fault analysis table and weight factor; the SPC extended rule model and prior knowledge are fused to establish the fault probability model of ESP well, form the fault diagnosis method of ESP well, develop the online fault diagnosis software of ESP well, and deploy it in 425 ESP wells in a block. Taking five types of tubing leakage, pump wear, shaft breakage, gas influence, and pump plugging as examples, the application process of fault diagnosis method is analyzed. The research and application show that compared with other fault diagnosis methods, this method needs a smaller time window and higher diagnosis accuracy. By setting multiple time windows, this diagnosis method is applied to calculate the fault probability of ESP well in real time, solve the real time and accurate identification of 14 sudden faults and gradual faults, and significantly improve the intelligent diagnosis level of production faults of ESP well.
miR-590-5p Targets Skp2 to Inhibit the Growth and Invasion of Malignant Melanoma Cells
Authors: Tong Yang , Jin Lei
Published: July 2022

Skp2 participates in the regulation of cell growth cycle and promotes the growth of tumor cells. It was speculated that miR-590-5p could regulate the expression of Skp2 and have therapeutic effects on malignant melanin. In this study, the expression of Skp2 was detected by qRT-PCR and Western blot (WB), and the targeted binding between miR-590-5p and Skp2 was verified by dual luciferase reporting assay. Subsequently, cell proliferation activity was detected by CCK8, cell invasion was detected by Transwell, and cell apoptosis was detected by mitochondrial membrane potential assay. The results indicate that Skp2 is highly expressed in melanoma cells and inhibits the proliferation and invasion of melanoma cells. However, miR-590-5p can bind to Skp2 in a targeted manner. miR-590-5p is underexpressed in melanoma cells, and its overexpression can inhibit Skp2 expression and proliferation and invasion of melanoma cells. Our results showed that miR-590-5p could inhibit melanoma cell development by targeting Skp2. This study provides more therapeutic targets for the treatment of melanoma.
Design and Research of Economic Management Problem Fusion Method Based on Decision Information System
Authors: Ke Jingying
Published: July 2022

The construction of the economic management information system ensures the flow and sharing of information, business coordination, and scientific decision-making between economic functions. Therefore, project construction is absolutely necessary and urgent. Project management has achieved significant results in terms of shortening project time and reducing management costs. Information system is an important model information structure in artificial intelligence. This paper focuses on the design of a fusion method for economic management problems based on decision information systems. This paper summarizes the value of the whole project through the research on the project management of the economic management information system. The results of this study show that when the threshold is fixed, the information granularity Gtheta and rough entropy (Er) theta decrease monotonically with increasing attribute subset cardinality. Meanwhile, θ-information granularity Etheta and θ-information entropy Htheta monotonically increase with the increase of attribute subset cardinality, which indicates that when attribute subset cardinality increases, the uncertainty of the information system decreases.
Evaluation of Upper Limb Muscle Activation Using Musculoskeletal Model with Wearable Assistive Device
Authors: Ashari M. F. , Hanafusa A. , Mohamaddan S.
Published: July 2022

In recent years, wearable assistive device has been used to support upper arm movement training for rehabilitation purposes. A wearable assistive device could affect the muscle output during motor tasks to support upper limb disorder rehabilitation training. However, the investigation of muscle activity with the given assistive force is not widely investigated. In this study, the evaluation of upper limb muscle activities using musculoskeletal simulation systems with the developed wearable cable-driven assistive device has been carried out. An experimental protocol consisting of a series of motions was executed with five healthy subjects. Muscle activation on the brachioradialis, biceps, and triceps muscles was measured by using surface electromyography (EMG) and analyzed. The simulations with a musculoskeletal model to estimate muscle output with and without a wearable assistive device were performed for three tasks. An assistive upper arm device was integrated into the musculoskeletal model, and the desired assistive force is translated to the arm joint along with a tendon routing structure. Assisting movement by the wearable device was evaluated by measuring muscle activation with-assist and without-assist conditions. The results show that the use of the wearable assistive device can effectively assist in arm movement. Comparisons of measured EMG muscle data and the musculoskeletal model revealed that muscle force was generated throughout the arm. The integrated musculoskeletal model results show that muscle force values for two primary muscles (biceps and brachioradialis) were reduced during the simulated task when wearing the assistive device. These results are congruent with expectations, with the assistive device that supports the upper limb movement, providing practical assistance. The results highlight the importance of evaluating muscle output for the developed wearable assistive device to support the assistive movement. Lastly, the musculoskeletal simulation system could reduce the resource-intensive, and time consumed with the experimental testing could be achieved.
A Novel 1D-CNN-Based Diagnosis Method for a Rolling Bearing with Dual-Sensor Vibration Data Fusion
Authors: Yu Fajun , Liao Liang , Zhang Kun , Xing Hechen , Zhao Qifeng , Zhang Liming , Luo Zheng
Published: July 2022

Due to variation of working conditions and influence of noise in vibration data, rolling bearing intelligent diagnosis based on deep learning faces challenges in efficient utilization of monitoring data and scientific extraction of fault features. This study proposes a one-dimensional convolution neural network (1D-CNN)-based intelligent diagnosis method for a rolling bearing, which fuses the horizontal and the vertical vibration signals, makes full use of spectral order features by full-spectrum analysis, and achieves accurate classification of fault pattern by 1D-CNN model. The experimental datasets of constant and variable working conditions of rolling bearing are constructed. The test results of the proposed method show that spectral order features are extracted effectively by full-spectrum analysis and high diagnostic accuracy is obtained by the constructed 1D-CNN model on both datasets. The comparison with the other four similar methods indicates that the diagnostic accuracy of the proposed method outperforms the comparative methods significantly in the case of variable operating conditions.
The Role of Soft θ‐Topological Operators in Characterizing Various Soft Separation Axioms
Authors: Ameen Zanyar A. , Al-shami Tareq M. , Mhemdi Abdelwaheb , El-Shafei Mohammed E.
Published: July 2022

This manuscript begins with an introduction to a soft θ‐kernel operator. Then, the main properties and connections of this soft topological operator with other known soft topological operators are examined. We show that soft θ‐kernel operator is weaker than soft kernel operator but stronger than soft θ‐closure. Both soft θ‐closure and soft θ‐kernel operators are equivalent on soft compact sets. Furthermore, the stated operators are utilized to obtain several new characterizations of soft Ri‐topologies and soft Tj‐topologies, for i = 0,1 and j = 0,1,2.
GLTP Is a Potential Prognostic Biomarker and Correlates with Immunotherapy Efficacy in Cervical Cancer
Authors: Shi Yan-long , Liu Ming-bo , Wu Hong-ting , Han Ye , He Xuan
Published: July 2022

Cervical cancer (CC) is the fourth most commonly diagnosed cancer in women worldwide. The prognosis of CC patients remains poor. The objective of our study was to explore the potential of glycolipid transfer protein (GLTP) in predicting the prognosis of CC and patients’ response to immunotherapy. The expression of GLTP was determined using TCGA and GEO datasets. The prognostic value of GLTP in CC patients was analyzed using Kaplan-Meier analysis and multivariate analysis. The relationships between BTBD10 and immunological checkpoints, immune checkpoint genes, and ferroptosis-related genes were analyzed to explore the impact of GLTP on CC immunotherapy. According to the dysregulated expressions of BTBD10, the IC50 distribution of various targeted medicines was studied. In this study, we found that GLTP expression was distinctly upregulated in CC specimens. However, Kaplan-Meier assays showed that CC patients with low GLTP expressions tended to exhibit a shorter overall survival. Importantly, multivariate assays revealed that GLTP expression was an independent prognostic factor for CC patients. Moreover, we observed that GLTP expression was related to CD4+ T cells, macrophages, and dendritic cells (DCs). Meanwhile, GLTP expressions were associated with those of immune checkpoints, ferroptosis-related genes, and m6A-related genes. The IC50 of Cisplatin, Docetaxel, and Paclitaxel was lower in the high-GLTP-expressing group. Taken together, GLTP was expected to be a prognostic and immunotherapeutic marker for CC.
A Retrospective Study of Dexamethasone, Remdesivir, and Baricitinib in Severe COVID-19
Authors: Ngo Dallis Q. , Hamid Kewan , Rana Haris , Cardinale Maria , Frenia Douglas , Ghani Nabil , Redel Henry
Published: July 2022

Purpose. RECOVERY, ACTT-1, and ACTT-2 trials have demonstrated that utilization of dexamethasone, remdesivir, or a combination of remdesivir with baricitinib leads to mortality benefit and faster time to recovery, respectively. However, no studies have investigated the benefit of triple therapy of dexamethasone, remdesivir, and baricitinib. We investigate the benefits of triple therapy compared to dual therapy of dexamethasone with remdesivir in patients with severe COVID-19 on HFNC. Materials and Methods. A retrospective data analysis was performed on patients with severe COVID-19 requiring HFNC and evaluated for hospital discharge status, requirement of mechanical ventilation, length of stay, and days on HFNC. Results. Among 191 patients with severe COVID-19, 81 patients received dexamethasone, remdesivir, and baricitinib. Patients receiving triple therapy had a significant survival benefit (HR 0.52;

P
=
0.042

). Treatment with triple therapy vs. dual therapy also trended towards less requirement of mechanical ventilation (OR 0.66;

P
=
0.26

). There was no significant change in length of stay (mean 13.74 vs. 13.31;

P
=
0.74

) or days on HFNC (mean 8.95 vs. 7.28 days,

P
=
0.16

). Conclusions. The use of dexamethasone, remdesivir, and baricitinib in patients with severe COVID-19 requiring HFNC was associated with a significant survival benefit in comparison to dual therapy of dexamethasone with remdesivir.
Prevention of Physical Risk and Rehabilitation of Muscle Injury in Sanda Competition
Authors: Wang Yong
Published: July 2022

The Target. The purpose of this study is to explore the reduction of sports injury risk and verify the effective methods and means of athlete’s muscle injury rehabilitation. Methods. In this study, 80 sanda athletes from a university were randomly selected as subjects, and the main parts of injury of all subjects were counted. After 12 weeks of muscle injury rehabilitation intervention, the pain, acute injury, and technical and tactical evaluation levels of subjects in the intervention group and the control group were compared. Results/Discussion. The overall performance of the 80 subjects’ basic exercise ability was at a moderate level, and there was no significant difference between male and female subjects (P >0.05). After 12 weeks of rehabilitation intervention, there was no significant difference in the scores of shoulder joint flexibility, supine straight leg raising, and trunk stable support between male and female subjects in the intervention group in more than 7 sports (P >0.05). In the control group, there were significant differences in the scores of shoulder flexibility and trunk stability of male and female subjects (

P
<
0.05

). Future research should further explore the effect of muscle injury rehabilitation on effectively reducing potential sports injuries and introduce advanced and effective medical rehabilitation methods.
A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm
Authors: Yuan Qinying
Published: July 2022

In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers’ control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. This paper will investigate the factors and patterns of teachers’ emotional control in the classroom. In this paper, the existing neural network is adapted and improved, and some preprocessing is performed on the current dataset to train the network. The network used in this paper is a combination of convolutional neural network (CNN) and recurrent neural network (RNN), which takes advantage of both CNN for feature extraction and RNN for memory capability in the sequence model. This network has a good effect on both object labeling and speech recognition. For the problem of extracting emotion features of whole-sentence speech, we propose an attention mechanism-based emotion recognition algorithm for variable-length speech and design a spatiotemporal attention module for the speech emotion algorithm and a convolutional channel attention module for the CNN network to reduce the contribution of the spatiotemporal data of the speech emotion algorithm and the unimportant parts of the CNN convolutional channel feature data in the subsequent recognition by the attention mechanism. In turn, the weight of core key data and features is increased to improve the model recognition accuracy.
Feasibility Analysis of Mutual Benefit Cooperation between Environment‐Embedded Art Design Education and Local SMEs Development Based on Improved Grey Analysis
Authors: Miao Wei , Zhou Honghui
Published: July 2022

With the continuous progress of the economic era, both art and design education and local small and medium‐sized enterprises are facing the crisis of survival and the pressure of competition, forcing the two to join hands to resist this crisis. The protection of the ecological environment will not only affect people’s lives, but also affect the design and creation of art. This paper adopts the methods of correlation degree and correlation coefficient to construct a feasibility analysis model of mutual benefit cooperation between environment‐embedded art and design education and local SMEs development based on improved grey analysis. It is to help art and design education and local small and medium‐sized enterprises to continue to develop. The research results of this paper show that: (1) The accuracy of the model in this paper is on the rise as a whole, with the highest accuracy rate of 96.2%; the highest accuracy rate of the improved neural network model is 87.1%; the highest accuracy rate of the random forest algorithm is 86.3%; and the traditional model is the highest. The accuracy rate is 80.3%. (2) The recall rate of the traditional model is between 0.0816 and 0.0984; the recall rate of the random forest algorithm is between 0.726 and 0.983; the recall rate of the improved neural network is between 0.752 and 0.961; the recall rate of the model in this paper is between 0.615 and 0.815. (3) The overall static payback period is decreasing year by year, and the overall rate of return is also increasing year by year, which shows that the cooperation between art and design education and enterprises can bring higher benefits to enterprises. (4) After the cooperation between the two companies in 2016, various indicators have risen significantly. The highest net present value is 92.55 million yuan; the highest profit index is 1.98; the highest net present value rate is 35.8%, and the highest internal rate of return is 79.2%. (5) After school 2 cooperates with the enterprises, the employment rate has increased year by year, with the highest employment rate of 88.3%. In contrast, the annual employment rate of school 1, which does not cooperate with enterprises, is irregular. (6) The percentages of environmental indicators such as total emission reduction, environmental quality, and pollution control have all increased, and resource consumption has decreased by 28%; the public’s satisfaction with the results of environmental protection has also reached 90%. (7) The average evaluation of each index is above 8 points, the highest score for completeness is 8.5, the highest score for feasibility is 8.9, the highest score for recognition is 9.2, and the highest score for practicality is 8.7.
Prevalence for the Disclosure of HIV Status to Sexual Partners and Its Determinants among Adults under cART in Amhara Region, Northwest Ethiopia
Authors: Tegegne Awoke Seyoum
Published: July 2022

Background. Globally, the transmission of HIV from one individual to another causes 1.8 million new infections each year, 36.7 million people living with HIV, and one million people died from HIV-related illnesses. The objective of this study was to determine the prevalence of the disclosure of HIV status to sexual partners and its determinants among adults under cART in the Amhara Region, northwest Ethiopia. Methods. A retrospective study design was conducted on 792 randomly selected samples. The study was conducted in the Amhara Region, from 2015 to 2020. A binary logistic regression modeling was used for data analysis. The data were collected using a stratified random sampling technique where the residential areas were considered strata. Data were collected by trained health practitioners in the ART section in Felege Hiwot Teaching and Specialized Hospital. The hospital is a referral in which many patients from different districts and zonal hospitals in the region are referred to this hospital. Results. The rate of disclosure of HIV status to sexual partners in this study was 21%, which is very low compared to the average rate of disclosure in developing countries. Among the predictors, age of patients (AOR = 1.02, 95% CI:(1.001,1.120);

p

-value = 0.004); number of baseline CD4 cell count (AOR = 0.980; 95% CI: (0.764, 0.991);

p

-value<0.01); number of hospital visits (AOR = 1.01; 95% CI: (1.001, 1.034);

p

-value < 0.01); marital status (living with partner) (AOR = 1.01; 95% CI: (1.003, 1.112);

p

-value = 0.006); female HIV-positive adults (AOR = 1.01; 95% CI: (1.001, 1.021);

p

-value = 0.007); rural residence (AOR = 0.98; 95% CI: (0.96, 0.99);

p

-value = 0.004); non-educated adult patients (AOR = 0.950, 95% CI: (0.92. 0.98);

p

-value = 0.003); cART non-adherent adult patients (AOR = 0.940, 95% CI: (0.61. 0.97);

p

-value < 0.001); non-opportunistic infectious diseases (AOR = 1.062, 95% CI: (1.049. 1.191);

p

-value = 0.002); and non-existence of social violence (AOR = 1.012, 95% CI: (1.008, 1.);

p

-value < 0.01) significantly affected the variable of interest. Of these, the number of CD4 cell count, male HIV-positive adults, rural residence, and existence of social violence negatively affected the variable of interest. Conclusions. Some groups of HIV patients did not disclose their level of HIV status to their sexual partners. Health-related education is recommended for patients who did not disclose their HIV status to sexual partners. This helps to reduce the transmission of HIV from infected individuals to noninfected ones and from mother-to-child HIV transmission.
A Modified Mahalanobis Distance Metric Used to Optimize Mahalanobis Space and Improve Classification Performance of MTS
Authors: Sheng Zhirong , Cheng Longsheng
Published: July 2022

The Mahalanobis–Taguchi system (MTS) is a diagnostic and forecasting technique in a multidimensional system that integrates the Mahalanobis distance (MD) and robust engineering of Taguchi. To implement MTS, a set of observations from a normal group is selected to construct the Mahalanobis space (MS). With this MS as a reference, new observations from an unknown group can be judged to be normal or abnormal, and the degree of abnormality can be determined. MD is very sensitive to data changes, so the data quality of normal samples used to construct the MS directly affects the accuracy of classification. In practical applications, the selection of normal samples depends on the experience and subjective judgment of experts and lacks an objective selection mechanism. In this paper, a modified MD metric is proposed, which is combined with the individual control chart to obtain a robust MS. First, the initial MS is constructed according to the normal samples selected by experts, and the MD of each normal sample is calculated by the initial MS. Then, the MD of each normal sample in the corresponding reduced MS is computed, and the incremental MD is used as the new distance metric to establish the individual control charts. The stability rules of the control chart are employed to eliminate abnormal points, and the MS of the stable state is obtained. To evaluate the effectiveness of the modified MD metric, a numerical simulation experiment is implemented, and the results show that the proposed method is effective and improves the classification performance of MTS. Finally, the improved MTS method is applied to a real medical diagnosis case.
Pregnancy Is Not Associated with an Increased Risk of Decompensation, Transplant, or Death in Compensated Cirrhosis
Authors: Mullin Monica , Djerboua Maya , Sarkar Monika , Lu Jacquie , Velez Maria P. , Brogly Susan , Terrault Norah A. , Flemming Jennifer A.
Published: July 2022

Background and Aims. Childbirth in women with cirrhosis is increasing and associated with a higher risk of perinatal outcomes compared to the general population. Whether pregnancy influences the risk of liver-related events compared to nonpregnant women with cirrhosis is unclear. This study evaluates the association between pregnancy and liver-related outcomes in women with compensated cirrhosis. Approach and Results. Population-based retrospective matched cohort study in Ontario, Canada, using routinely collected healthcare data. Pregnant women with compensated cirrhosis and without prior history of decompensation between 2000 and 2016 were identified and matched to nonpregnant women with compensated cirrhosis on age, etiology of cirrhosis, and socioeconomic status in a 1 : 2 ratio. The association between pregnancy and the composite outcome of nonmalignant decompensation, liver transplant (LT), and death up to two years after cohort entry was estimated using the multivariate Cox proportional hazard regression adjusting for potential confounders. Overall, 5,403 women with compensated cirrhosis were included (1,801 pregnant; 3,602 nonpregnant; median age 31 years (IQR 27-34); 60% nonalcoholic fatty liver disease, 34% viral hepatitis). After two years of follow-up, only 19 (1.1%) pregnant women had a liver-related event compared to 319 (8.9%) nonpregnant women. Pregnant women with compensated cirrhosis had a lower hazard of a liver-related event compared to nonpregnant women (aHR 0.14, 95% CI 0.09-0.22,

P
<
.001

). Conclusions. Pregnancy in women with compensated cirrhosis is not associated with increased liver-related events compared to nonpregnant women. These results can facilitate counselling women with cirrhosis of child-bearing age and suggests that pregnancy may not accelerate liver disease progression.
segunda vulnerabilidad
Authors: Mejía Natalia
Published: July 2022

En la primera reunión presencial después de pandemia de la asociación colombiana de facultades de medicina (ASCOFAME) se discutió el tema del aumento de incapacidades por salud mental tanto en estudiantes de pregrado como de posgrado. En nuestra escuela habíamos percibido, mas no objetivizado, la misma situación manifestada en un incremento en el ausentismo con excusas tan diversas como temas médicos menores hasta pretextos, en otros tiempos inaceptables, como faltar a clase porque estaban de mudanza en su casa. Esta avalancha de inasistencias, no sólo son el reflejo de una ansiedad generalizada en los alumnos sino, tal vez, una nueva actitud de los jóvenes ante la vida, una posición de apatía fundamentada en que si en dos años la humanidad se detuvo y nada catastrófico ocurrió, el faltar a una o varias clases no detendrá el movimiento de la tierra. Nunca anticipamos que después de haber sentido nuestra especie amenazada llegara una ola de segunda vulnerabilidad ante un enemigo más virulento y más perenne llamado malestar emocional con sus trajes mas vistosos como lo son la ansiedad, la depresión, el insomnio y el uso de sustancias psicoactivas. Una vez superado el miedo a la infección y a la muerte, el impacto de la pandemia sobre la salud psicosomática ha sido medido en trabajadores de la salud y en estudiantes de medicina con cifras preocupantes de depresión de 22.8% y 62.9%, respectivamente.
Exposición precoz a la profesión médica: Experiencia del curso “Bases y Fundamentos de la Medicina” 2015-2019
Authors: Valenzuela Contreras Patricia , Lagos Lucero Marcela , Gana Ahumada Natalia , Pérez Valenzuela Javier , Vergara-López María José , Aillach Bravo Emilio , Rioseco Castillo Andrea , Silva Rodrigo , Besio Rollero Mauricio , Vásquez Aravena Nancy , Rivera Mercado Solange , Pérez Hernández Iván
Published: July 2022

Introducción: el contacto clínico precoz en la formación de los estudiantes de medicina ha mostrado múltiples beneficios para el desarrollo de habilidades y competencias transversales para el ejercicio profesional. La Escuela de Medicina de la Pontificia Universidad Católica de Chile (UC) desarrolló una nueva malla curricular que dentro de sus pilares incorpora fomentar el contacto clínico desde primer año. En este contexto se crea el curso “Bases y Fundamentos de la Medicina”. El objetivo de este artículo es describir el diseño, implementación y evaluación durante sus primeros 5 años. Metodología: se constituyó un equipo multidisciplinario para la creación e implementación del curso, el cual se estructuró en 5 módulos, con sus respectivos programas y objetivos específicos. De manera transversal, se incorporaron metodologías de aprendizaje centradas en el estudiante, utilizando variados recursos pedagógicos innovadores y complementarios entre los módulos. El curso fue evaluado por los estudiantes mediante encuestas. Resultados: la percepción global de logro de objetivos fue 93,4% y el promedio de la calidad de la docencia un 6,7. Las dimensiones mejor evaluadas fueron los profesores e infraestructura/materiales. Los estudiantes también valoraron positivamente las metodologías y organización. El 99,8% de los estudiantes aprobó el curso, con un promedio final de 6,5. Discusión: el contacto clínico precoz y las metodologías de aprendizaje activas son muy bien evaluadas en pregrado, en concordancia con la literatura. La implementación de este curso contribuye al proyecto educativo UC y acerca al estudiante de primer año al quehacer médico desde distintas dimensiones.
Hematuria Leads to a New Diagnosis of Cirrhosis
Authors: Angelo Cristina , Tan Allison , Halegoua-De Marzio Dina , Fenkel Jonathan M.
Published: July 2022

A known consequence of portal hypertension is the development of varices, which are described as “ectopic” when located at unusual sites in the abdomen. Ectopic varices carry a mortality rate as high as 40% after initial hemorrhagic episode. We report a patient who presented with hematuria secondary to bladder varices as the presenting symptom for a new diagnosis of cirrhosis. Cross-sectional imaging, early recognition of this rare event, combined with multidisciplinary management was essential for this patient to have a successful outcome.
Embolisasi Trans Arterial Pra Operasi pada Metastatic Bone Disease dari Renal Cell Carcinoma
Authors: Rizqi Putri , Setyawan Agung , Achmad
Published: July 2022

Metastasis merupakan penyebaran kanker dari bagian tubuh utama saat kanker itu dimulai ke bagian lain dari tubuh tersebut. Sekitar sepertiga pasien dengan Renal cell carsinoma (RCC) memiliki metastasis tulang yang seringkali osteolitik dan menyebabkan morbiditas yang substansial, seperti nyeri, fraktur patologis, kompresi sumsum tulang belakang dan hiperkalsemia. Adanya metastasis tulang di RCC juga dikaitkan dengan prognosis yang buruk. Dalam makalah ini melaporkan satu presentasi kasus mengenai tindakan embolisasi pada pasien perempuan usia 25 tahun dengan diagnosa Fraktur patologis pada level vertebrae lumbal 1 due to Metastatic Bone Disease dari Process Renal Cell Carcinoma sebelum dilakukan operasi stabilisasi tulang belakang  Embolisasi memiliki peran penting dalam mengobati metastasis tulang hipervaskuler. Embolisasi merupakan cara yang efektif untuk menangani kondisi hemoragik dan membatasi pasokan pendarahan untuk massa tumor, pada laporan kasus ini embolisasi pra operasi menurunkan pendarahan intra operasi menjadi 1150 ml. Embolisasi dapat dilakukan baik sebagai pengobatan definitif atau sebagai tambahan untuk manajemen bedah berikutnya.
Gestão de crise nas agências de viagens do Brasil: um estudo a partir da percepção dos representantes da Associação Brasileira de Agências de Viagens
Authors: Tito Ana Luiza de Albuquerque , Ferreira Lissa Valéria Fernandes
Published: July 2022

No atual cenário econômico brasileiro, a atividade turística tem apresentado dificuldades específicas, as quais têm exigido maior preparo e conhecimento das organizações para se reposicionarem no mercado. Esse contexto também se aplica às agências de viagens, vulneráveis a diversos tipos de crises, tanto externas como internas. Assim, este trabalho analisou o gerenciamento de crise nas agências de viagens do Brasil, por meio de uma abordagem qualitativa, descritiva e exploratória, cujo instrumento de pesquisa foram entrevistas semiestruturadas com os presidentes da Associação Brasileira de Agências de Viagens. Os resultados apontam que os gestores das agências adotam práticas administrativas intuitivas no enfrentamento das crises e ações de prevenção, planejamento, definição de estratégias de comunicação, parcerias estabelecidas com stakeholders e funcionários, avaliação, aprendizado etc. são modestas e isoladas. Conclui-se que a prática da gestão de crises não é uma realidade no mercado de agência de viagens, e as ações isoladas adotadas não lhes dão a garantia de reposicionamento e superação diante de crises.
Avanços no recrutamento e fidelização de doadores de sangue: um olhar crítico sobre o panorama brasileiro
Authors: Silva Mayara Leite Alves da , Alves-da-Silva Maykon Wanderley Leite , Batista Luís Antonio Xavier
Published: July 2022

A crescente necessidade de métodos mais rígidos de segurança na transfusão sanguínea engendrou os bancos de sangue no Brasil. A transfusão aparece, então, como via alternativa para tratamento de patologias relacionadas ao sangue e aos seus componentes. A partir da aplicação de princípios altruístas, a doação de sangue tornou-se mais resistente pela sociedade, devido aos mitos e preconceitos. A aplicação de políticas públicas, dessa forma, tornaram-se mais evidentes para traçar o perfil social do doador de sangue, e o poder público passou a regulamentar, fiscalizar e controlar o uso racional de hemoderivados e hemocomponentes. Nesse sentido, os índices de doação de sangue no Sistema Único de Saúde (SUS) são resultados de diversos meios de interação tanto com o potencial doador quanto com o fidelizado, por intermédio de mídias digitais, palestras em centros escolares, simpósios, congressos e meios audiovisuais. Esse processo atrelou o recrutamento às peculiaridades dos potenciais doadores, promovido principalmente pelos profissionais da saúde. Surge a necessidade de aumentar, cada vez mais, tais medidas de modo a facilitar e flexibilizar o processo de doação, adaptando-o, assim, à realidade dessas pessoas, para amplificar o número de doadores fidelizados.
Avaliação do desempenho de um contrato de gestão entre uma organização social de saúde (OSS) e prefeitura de uma cidade do interior paulista
Authors: Messiano Julia Baesso , Fernandes Vitória Ambrósio , Lazari Karina Mirandola de , Porcionato João Marcelo
Published: July 2022

Introdução: A Organização Social de Saúde é uma entidade sem fins lucrativos que se encontra em estágio de expansão e há uma nítida divergência de opiniões quanto a sua efetividade e cumprimento das metas designadas pelo contrato de gestão proposto pelas instituições públicas. Objetivo: Analisar se há o cumprimento de metas estabelecidas pelo contrato de gestão entre a Prefeitura Municipal de Catanduva/SP e o Hospital Psiquiátrico Espírita Mahatma Gandhi (OSS).Métodos: É um estudo descritivo e transversal. A coleta de dados foi realizada a partir do Relatório do Observatório de Saúde de Catanduva de 2019, estabelecendo uma relação comparativa com as metas propostas no Contrato de Gestão vigente. Foram analisadas as seguintes variáveis: número de consultas médicas, número de consultas de enfermagem e taxa de encaminhamento médico nas Unidades de Saúde da Família. Resultados: Em relação à taxa de encaminhamentos realizados durante o ano de 2019 em todas as USF, a média foi inferior ao valor de referência estabelecido no contrato, sugerindo alta taxa de resolubilidade desses serviços. Além disso, produção médica e de enfermagem nas Unidades de Saúde da Família do município de Catanduva encontra-se, em sua maioria, acima do previsto no contrato de gestão,representando o cumprimento dos valores estabelecidos pela contratante. Conclusão: As metas atribuídas à OSS no contrato foram cumpridas pelas unidades de saúde conforme os valores pactuados pela Prefeitura Municipal.
Consumo de álcool e prática de binge drinking entre universitários em uma cidade no interior de Rondônia
Authors: Terra Junior André Tomaz , Martinelli Junior Carlos Eduardo , Del Ciampo Luiz Antonio
Published: July 2022

Objetivo: verificar a prevalência e o padrão de consumo de álcool entre acadêmicos de uma instituição de ensino superior do interior do estado de Rondônia. Método: estudo transversal e observacional com todos os estudantesmatriculados no ano de 2017. Foi utilizado o Alcohol, Smoking and Substance Involvement Screening Test para identificar o consumo de álcool e outras classes de substâncias psicoativas. Para a caracterização de binge drinking adotou-se a definição do National Institute on Alcohol and Alcoholism e, como critérios de exclusão, definiu-se o não preenchimento completo do questionário e solicitação do participante. Os dados foram analisados com o auxílio do programa SPSS 17. Procedeu-se à análise univariada para descrição das variáveis quantitativas e análise bivariada para verificar a associação entre o uso de bebidas alcoólicas e as variáveis independentes (sexo, idade), adotando- se o nível de significância de 5%. Resultados: participaram do estudo 518 indivíduos, com média de idade de23,1 anos, sendo 355 (68,5%) do sexo feminino e 163 (31,5%) masculino. Dentre esses, 385 (74,3%) afirmaram que consomem bebidas alcoólicas, 282 (54,4%) iniciaram o consumo com menos de 18 anos e 239 (57%) referiram praticar o BD. Entre os praticantes de BD, 48,9% o fazem pelo menos uma vez ao mês. Conclusão: observou-se elevada prevalência de consumo de bebidas alcoólicas e de prática de binge drinking entre os universitários, o que predispõe esses indivíduos a problemas físicos, emocionais e sociais. Tais achados devem alertar para a necessidade de políticas públicas que visem a prevenção de consumo de álcool que se inicia durante a adolescência.