syedzayyan/paper_mill_benchmark huggingface dataset:
Potential Drug Prediction of Glioblastoma Based on Drug Perturbation-Induced Gene Expression Signatures

S .Glioblastoma (gbm) is a malignant brain tumor which is the most common and aggressive type of central nervous system cancer, with high morbidity and mortality.Despite lots of systematic studies on the molecular mechanism of glioblastoma, the pathogenesis is still unclear, and effective therapies are relatively rare with surgical resection as the frequently therapeutic intervention.Identification of fundamental molecules and gene networks associated with initiation is critical in glioblastoma drug discovery.In this study, an approach for the prediction of potential drug was developed based on perturbation‐induced gene expression signatures.Methods .We first collected rna‐seq data of 12 pairs of glioblastoma samples and adjacent normal samples from the gene expression omnibus (geo) database.Differentially expressed genes (degs) were identified by deseq2, and coexpression networks were analyzed with weighted gene correlation network analysis (wgcna).Furthermore, key driver genes were detected based on the differentially expressed genes and potential chemotherapeutic drugs and targeted drugs were found by correlating the gene expression profiles with drug perturbation database.Finally, rna‐seq data of glioblastoma from the cancer genome atlas (tcga) dataset was collected as an independent validation dataset to verify our findings.Results .We identified 1771 significantly degs with 446 upregulated genes and 1325 downregulated genes.A total of 24 key drivers were found in the upregulated gene set, and 81 key drivers were found in the downregulated gene set.We screened the crowd extracted expression of differential signatures (creeds) database to identify drug perturbations that could reverse the key factors of glioblastoma, and a total of 354 drugs were obtained with p value &lt; 10 -10 .Finally, 7 drugs that could turn down the expression of upregulated factors and 3 drugs that could reverse the expression of downregulated key factors were selected as potential glioblastoma drugs.In addition, similar results were obtained through the analysis of tcga as independent dataset.Conclusions .In this study, we provided a framework of workflow for potential therapeutic drug discovery and predicted 10 potential drugs for glioblastoma therapy.

Journal: BioMed Research International (2021)
Publication types: Research Article;
Physical Fitness Recovery of Athletes Based on High-Intensity Sports Intermittent Training

Baseball itself is a new sport.In the process of training, teachers often use traditional training methods, which leads to unsatisfactory training results.High‐intensity intermittent and intensive interval training can better improve the efficiency of athletes’ oxidation and energy supply and ultimately play a positive role in improving athletes’ performance.This paper takes the influence of high‐intensity and intensive interval training on the special endurance of baseball players as the research object.A series of functional training programs are developed through adaptive training, testing, coordination training, and recovery training.Through the use of experimental means to understand the influence of high‐intensity interval training and intensive interval training on the physical fitness of baseball players, the paper is aimed at providing ways and means to improve the physical fitness level of baseball players in the future.Based on the experimental test data, functional training is different from traditional training methods to make up for the lack of training research.It is to improve the competitive ability of our baseball players and promote the development of our baseball.It plays an active role in improving the specific endurance, speed, and intermittent endurance of baseball players.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Performance Evaluation of SeisTutor Using Cognitive Intelligence‐Based “Kirkpatrick Model”

The classroom learning environment facilitates human tutors to interact with every learner and get the opportunity to understand the learner’s psychology and then provide learning material (access learner prior knowledge and well align the learning material as per learner requirement) to them accordingly.Implementing this cognitive intelligence in intelligent tutoring system is quite tricky.This research has focused on mimicking human tutor cognitive intelligence in the computer-aided system of offering an exclusive curriculum to the learners.The prime focus of this research article is to evaluate the proposed seis tutor using kirkpatrick’s four-phase evaluation model.Experimental results depicting the enhanced learning gain through intelligence incorporated seis tutor as against the intelligence absence are demonstrated.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Pattern and In-Hospital Mortality of Thoracoabdominal Injuries Associated with Motor Vehicle Accident-Related Head Injury: a Single-Center Retrospective Study

To determine the pattern and in-hospital mortality of thoracoabdominal injuries associated with head injuries (hi) due to motor vehicle accidents.Settings and design.A single-center retrospective study in a tertiary care hospital, level 1 trauma center in the southern region of saudi arabia.Methods and materials.Descriptive analysis was conducted to evaluate sex, age, types of head injury, associated thoracoabdominal injuries, particular admission day, duration of hospital stay, and discharge category, and associations between different variables and outcomes were analyzed.Results.The cohort had a mean age of 26.9 ± 15.8 years , with a predominance of men (86.9%).Thoracoabdominal injuries were present in 6.8% of mva-related hi, and 14.3% of victims expired during their hospital stay, mostly within the first 10 days.All expired patients had posttraumatic brain lesions.Moreover, there was a significant association between intensive care unit (icu) admission and poor prognosis.Conclusions.Existence of posttraumatic brain lesions and requirement of icu admission are significant variables affecting outcomes in patients with motor vehicle-associated hi with concomitant thoracoabdominal trauma in this study.Patients who survived the first 10 days after trauma seemed to have a better prognosis.More efforts are needed to reduce the health burden of this lethal injury.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Pathological Clinical Analysis and Imaging Manifestations for Spinal Bone Tumors Based on Cement Injection

In order to explore the imaging manifestations and pathological characteristics of spine tumors, this article explores the clinical diagnosis and treatment methods through multi-sample case analysis with the support of imaging, and proposes a targeted treatment method that uses a special pvp needle with a beveled puncture surface for puncture.Moreover, this article uses the supporting pvp syringe for bone cement injection, develops a health status questionnaire, and adopts a scoring method for comprehensive assessment.The purpose of this article is to show that through the combination of preoperative radiotherapy and postoperative bracing, bone cement injection to treat vertebral tumors can immediately obtain satisfactory pain relief.Finally, through case analysis and image performance, we can see that the method proposed in this article has a certain effect.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid

Power quality is the main problem with the power system network.Poor electricity quality may cause disruptions and financial challenges for consumers.Additionally, it could cause electronic gadgets to overheat, be damaged, or operate inadvertently.Transformers and other components of the power distribution system may also overheat and experience core saturation.This study investigates potential problems with the quality of the electricity in a photovoltaic linked power system.This paper suggests a new optimization method for day-ahead trading and control in dc microgrid power management (mg).The goal of the multiobjective optimization dispatch (mood) problem is to lower overall operational costs as well as the costs associated with power loss in efficient conservation systems and exhaust emission quantities such as nitrogen oxides, sulphur dioxide, and carbon dioxide.Using the weighted sum approach, the multiobjective optimization problem is reduced to a single optimization problem.The analytical hierarchy process (ahp) method is then used to calculate the weight coefficients while accounting for each objective function’s preferences.Power balancing, high levels of renewable energy penetration, the most effective scheduling of battery charging and discharging, control of load curtailment, and the technical limitations of the system are all taken into account when evaluating the system’s performance in both grid-connected and standalone operation modes.The ant lion optimizer (alo) technique is taken into account to tackle mood, comparing the effectiveness of the proposed method to other well-known heuristic optimization techniques.The simulation’s results demonstrate how effectively the proposed strategy can address the coordinated control and optimization dispatch difficulties.They also found that operating the mg system economically in grid-connected mode can save overall costs by roughly 4.70% compared to doing it in independent mode.

Journal: International Transactions on Electrical Energy Systems (2023)
Publication types: Research Article;
Outcomes of Patients with Cervical Spinal Cord Injury Treated by Surgery and Their Prognostic Factors

To investigate the outcomes of patients with cervical spinal cord injury treated by surgery and their prognostic factors.Methods.We retrospectively analyzed 139 patients with cervical spinal cord injury treated by surgery at our hospital, who were admitted between january 2017 and december 2018.Depending on the barthel index at last follow-up, the patients were divided into the recovery group ( n = 60 , barthel index &gt; 45 ) and the nonrecovery group ( n = 79 , barthel index ≤ 45 ).General information of patients in the two groups was compared.The significant factors were further introduced into the logistic regression model.The poor prognostic factors of cervical spinal cord injury treated by surgery were analyzed, and specific nursing measures were taken.Results.There were significant differences in the duration of injury before admission, duration of injury before surgery, transportation and protection before admission, spinal canal invasion rate, and hormonal therapy within 8 h after injury between the patients achieving good postoperative recovery and those not ( p &lt; 0.05 ).Logistic regression analysis showed that all the factors above were prognostic factors for cervical spinal cord injury treated surgically.Conclusion.The duration of injury before admission, duration of injury before surgery, transportation and protection before admission, spinal canal invasion rate, and hormonal therapy within 8 h after injury were prognostic factors of patients with cervical spinal cord injury treated by surgery.The following factors should be considered for favorable outcomes: spinal protection during transportation to hospital, timely hormonal shock therapy to delay injury progression, and timely surgery to relieve pain.The spine is composed of cervical, thoracic, lumbar, sacral, and caudal vertebrae.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Optical Fiber Multiparameter Detection and Numerical Simulation and Characteristics of Water Quality Particulate Matter Based on Single-Photon Detection Technology

Water quality testing is of great significance for daily water use or water use in high precision manufacturing.The use of single-photon detection technology to detect water particles is one of the important methods of physical water quality detection.However, the current water quality particle detection technology needs to be improved in the range and accuracy of turbidity detection.The paper aims to use single-photon detection technology to design a fiber optic turbidity detection system to solve the current problems of small turbidity detection range and low accuracy in a large range.In response to this, this paper has made an in-depth understanding of single-photon detection technology and designed two sets of detection schemes using the performance of photons.The first set is the transmission optical fiber turbidity detection, which can effectively detect the ultralow turbidity range and a wide range of water quality particles.The second set is a scattering optical fiber turbidity detection system, which can effectively detect water particles in the low and medium turbidity range.In this paper, the two systems were integrated into a whole system, so the results of the two detection methods can also be compared, and the detected turbidity can be obtained more accurately.The experimental results showed that for the transmission optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 11 wm, and the fitting value was 0.99; for the scattering optical fiber turbidity detection system, the detection effect of the system was the best under the incident light intensity of 4 wm, and the fitting value was 0.99.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
On-Line Temperature Monitoring System of Electrical Equipment Based on Passive Wireless Sensor

In order to solve the temperature measurement problem of fully enclosed equipment for power equipment operation inspection, the authors propose an online temperature monitoring system for electrical equipment based on passive wireless sensors.Aiming at the disadvantages of traditional temperature monitoring methods, the system adopts radio frequency technology.The scheme mainly expounds the key technologies and switchgear implementation in the monitoring system research and discusses the feasibility of the system scheme through experiments.Monitor all important components at different times, and establish a temperature monitoring network to complete monitoring and management.According to the test results, in the case of overheating, the temperature can rise to more than 75°c, and the temperature difference measured wirelessly is 0.5°c, which is sufficient to indicate the health of the change.Electrical equipment, the accuracy, and real-time performance of temperature monitoring are guaranteed.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Online Disease Identification and Diagnosis and Treatment Based on Machine Learning Technology

The article uses machine learning algorithms to extract disease symptom keyword vectors.At the same time, we used deep learning technology to design a disease symptom classification model.We apply this model to an online disease consultation recommendation system.The system integrates machine learning algorithms and knowledge graph technology to help patients conduct online consultations.The system analyses the misclassification data of different departments through high-frequency word analysis.The study found that the accuracy rate of our machine learning algorithm model to identify entities in electronic medical records reached 96.29%.This type of model can effectively screen out the most important pathogenic features.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Oleuropein Improves Cognitive Dysfunction and Neuroinflammation in Diabetic Rats through the PI3K/Akt/mTOR Pathway

To explore the effect and mechanism of oleuropein on cognitive dysfunction and neuroinflammation in diabetic rats.Method.A diabetic rat model was constructed using streptozotocin, and the diabetic rats were divided into 3 groups with different treatment for 4 weeks, named stz group (gavaged with normal saline), stz+loe group (40 mg/kg oleuropein, and stz+sita group (30 mg/kg sitagliptin).The fasting blood glucose (fbg), fasting serum insulin levels, and homa-ir index were measured in rats.After the last treatment, the morris water maze experiment was carried out, and the rats were first subjected to training experiments for 4 consecutive days; the escape latency, number of crossing platform quadrant intersections, time spent in the target quadrant, and swimming speed were recorded.Additionally, the malondialdehyde (mda), myeloperoxidase (mpo) content, superoxide dismutase (sod) activity, interleukin- (il-) 1β, tumor necrosis factor (tnf-α), and phosphatidylinositol 3-kinases (pi3k)/threonine-protein kinase (akt)/m tor expression levels in rat hippocampus tissues were detected.Results.Oleuropein reduced insulin resistance, spatial learning, and memory ability in diabetic rats.It also could improve oxidative stress and inflammatory response and activate the pi3k/akt/m tor signaling pathway in hippocampus tissues.Conclusion.Oleuropein ameliorates cognitive dysfunction and neuroinflammation in diabetic rats by regulating the pi3k/akt/m tor signaling pathway.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Observation of the Effect of Nursing BPR on Thrombolytic Efficacy and Prognosis of Patients with Cerebral Infarction Based on CT Images

Cerebral infarction has become the main cause of death among chinese residents, especially ischemic cerebral infarction.The existing ct technology is not very effective for the detection of cerebral infarction, and some angiography has problems such as blurring and shadowing.In order to understand the treatment methods and effects of patients with cerebral infarction, this article observes the effect of nursing bpr on thrombolytic efficacy and prognosis of patients with cerebral infarction based on ct images.The patients were divided into thrombolytic group and nonthrombolytic group, and a simple rating scale was used to assess the motor function of the patients' limbs, and the stroke scale was used to assess the patient’s neurological function.Compare the baseline data, the time of admission, 24 hours and 7 days, the scores before and after treatment, and the ratio between the two groups.According to the monitoring, record each time point.The analysis of the occurrence of primary endpoint was events and secondary endpoint events and risk factors affecting limb motor function.The results of the study found that, based on the computer scanning observation of nursing bpr, compared with the traditional model, the patient's bleeding was significantly reduced, and the time required for nursing was also reduced by more than 50% compared with the traditional model.Compared with the traditional nursing model, the satisfaction of patients with the bpr nursing model is nearly 40% higher than that of the traditional nursing model.This shows that the observation of thrombolytic effect in patients with cerebral infarction based on computed tomography and bpr nursing can produce good therapeutic effects.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Nursing of Vulvar Cancer Radical Operation Combined with Laparoscopic Inguinal Lymph Node Dissection

The application, development, and care of radical surgery combined with laparoscopic inguinal lymph node dissection for vulvar cancer.Methods.We searched the pub med, web of science, the cochrane library, and embase databases for published literature on the care of radical surgery combined with laparoscopic inguinal lymph node dissection for vulvar cancer up to june 2022.We used the following search terms and terms: “vulvar cancer,” “injury,” “radical vulvar cancer surgery,” “laparoscopic inguinal lymph node dissection,” and “care.” results.Laparoscopic inguinal lymph node dissection has become a new surgical method for the treatment of vulvar cancer, and it effectively avoids all the problems associated with traditional surgery.In addition, radical vulvar cancer surgery and laparoscopic inguinal lymph node dissection combined with high-quality nursing interventions can promote patients’ recovery and reduce the occurrence of complications, which has important clinical significance.Conclusion.This article reviews the application, development, and nursing care of radical vulvar cancer surgery combined with laparoscopic inguinal lymph node dissection.

Journal: Emergency Medicine International (2022)
Publication types: Review Article;
NUCB2/Nesfatin-1 Regulation of Chronic Visceral Hyperalgesia

We previously described that different concentration nucleobindin-2 (nucb2)/nesfatin-1 gradients differently regulated visceral hypersensitivity in irritable bowel syndrome.Therefore, this study is aimed at evaluating the effect of nucb2/nesfatin-1 on model rats with chronic visceral hyperalgesia.Methods.Neonatal and mature sprague-dawley rats were randomly divided into the healthy control and chronic visceral hyperalgesia model groups.The model was built by combining maternal separation with the acetic acid enema.The models were identified by the distension volume threshold to reach abdominal withdraw reflex awr score = 3 , histological staining, and myeloperoxidase (mpo) detection.The visceral sensitivity to chronic visceral hyperalgesia was then evaluated.Result.Rats in the model group responded more strongly to pulling stimulation than healthy controls; the distension volume threshold causing awr3 response in model rats was lower than the control group before nucb2/nesfatin-1 intervention.After intervention, the distension volume threshold was significantly lower in the nucb2/nesfatin-1 central intervention group than in the nucb2/nesfatin-1 peripheral intervention group, and the peak value of external oblique muscle electrical activity was significantly higher.Additionally, compared with the male intervention group, in the female intervention group, the volume threshold was significantly lower and the peak value was higher.Conclusion.Nucb2/nesfatin-1 could regulate visceral sensitivity in chronic visceral hyperalgesia model rats; its regulatory effect correlated with the type of nucb2/nesfatin-1 intervention approaches (central or peripheral) and sex (male or female).

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology

Accurate and real‐time network traffic flow forecast holds an important role for network management.Especially at present, virtual reality (vr), artificial intelligence (ai), vehicle‐to‐everything (v2x), and other technologies are closely combined through the mobile network, which greatly increases the human‐computer interaction activities.At the same time, it requires high‐throughput, low delay, and high reliable service guarantee.In order to achieve ondemand real‐time high‐quality network service, we must accurately grasp the dynamic changes of network traffic.However, due to the increase of client mobility and application behavior diversity, the complexity and dynamics of network traffic in the temporal domain and the spatial domain increase sharply.To accurate capture the spatiotemporal features, we propose the spatial‐temporal graph convolution gated recurrent unit (gc‐gru) model, which integrates the graph convolutional network (gcn) and the gated recurrent unit (gru) together.In this model, the gcn structure could handle the spatial features of traffic flow with network topology, and the gru is used to further process spatiotemporal features.Experiments show that the gc‐gru model has better prediction performance than other baseline models and can obtain spatial‐temporal correlation in traffic lows better.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;