Miracle-dz/UniFAR-FTUs huggingface dataset:
Calcineurin Inhibitor Attenuates the Development and Induces the Regression of Cardiac Hypertrophy in Rats With Salt-Sensitive Hypertension

Background—It remains unclear how hemodynamic overload induces cardiac hypertrophy. Recently, activation of calcium-dependent phosphatase, calcineurin, has been elucidated to induce cardiac hypertrophy. In the present study, we examined the role of calcineurin in load-induced cardiac hypertrophy by using Dahl salt-sensitive (DS) rats, which develop both pressure and volume overload when fed a high salt diet. Methods and Results—In the DS rat heart, the activity of calcineurin was increased and cardiac hypertrophy was induced by high salt diet. Treatment of DS rats with the calcineurin inhibitor FK506 (0.1 or 0.01 mg/kg twice daily) from the age of 6 weeks to 12 weeks inhibited the activation of calcineurin in the heart in a dose-dependent manner and attenuated the development of load-induced cardiac hypertrophy and fibrosis without change of hemodynamic parameters. Additionally, treatment with 0.1 mg/kg twice daily but not with 0.01 mg/kg twice daily of FK506 from the age of 12 weeks to 16 weeks induced r.
A platform for automatic identification of phishing URLs in mobile text messages

This paper constructs an automated identification platform for phishing URLs in mobile message. This platform have the ability that including preprocessing the content of message, feature extraction and automatic identification of URLs in the message, output the result. Aiming at the problem of automatic identification of phishing web site, this paper propose a phishing URLs recognition model based on neural networks and deep learning. The experimental results show that that the model has a very good judgment effect on the phishing URLs, and the accuracy rate is 98.2%. The recall rate is 96.9%.
Simulation and optimization of production system based on fuzzy logic and quick response manufacturing

Since 1979, european and american clients had benchmarked the performance of theirs factories with those of Japanese competitors. The differences included substantially higher productivity, better quality, significantly less inventory, less space, more flexibility and much faster throughput times. Everyone knows that time is money and mangers understand the importance of quick response to customers. Lean Manufacturing techniques can be powerful in several situations, but for companies making a large variety of products with variable demand or companies making highly engineered products, Lean Manufacturing has several drawbacks. Quick Response Manufacturing (QRM) can be more effective competitive strategy for companies targeting such markets, which focuses on lead time reduction. The importance of define the lead time required in an engineer-to-order company is critical in particular during the New Product Development (NPD) process. This paper presents how to apply Quick Response Manufacturing to a manufacturing industry through the previous calculation of product components Run Time using a Fuzzy Logic approach, in order to predict whether a decision will improve lead times.
The Effects of Subcutaneous Administration of Granulocyte Colony-Stimulating Factor on Pregnancy Outcome After Assisted Reproductive Technology: Clinical Trial

Background: Granulocyte-colony stimulating factor (G-CSF) is an innovative therapy in reproductive medicine. Although its mechanisms of action have remained unknown, G-CSF seems to be effective in the case of recurrent abortion or implantation failure and thin endometrium. Objectives: This study was conducted to investigate whether subcutaneous administration of G-CSF has any effect on pregnancy outcome after assisted reproductive technology (ART). Methods: Fifty women with male infertility factors undergoing ART treatment were enrolled and stimulated with the standard long protocol. The G-CSF group of women received one dose of subcutaneous G-CSF (Filgrastim, 300 µg/1 mL) on the day of embryo transfer and again two days later while the placebo group received normal saline. Results: Seventeen patients had a positive β-human chorionic gonadotropin concentration after embryo transfer (8 and 9 in G-CSF and placebo groups, respectively) although the difference was not statistically significant. In addition, spontaneous abortion occurred in three patients (1 patient in the G-CSF group vs. 2 patients in the placebo group). Conclusion: Overall, although G-CSF failed to affect the endometrial thickness, as well as implantation, or clinical pregnancy rates, a lower prevalence of abortion in G-CSF group may be due to the positive effect of G-CSF administration on the endometrium as compared to the placebo group.
Associations between reasons for vaping and current vaping and smoking status: Evidence from a UK based cohort

Highlights • Reasons for vaping are associated with vaping and smoking status in UK young adults. • Vaping out of curiosity and to quit smoking is popular in this population. • Vaping out of curiosity is associated with discontinued vaping. • Vaping to stop smoking is associated with quitting smoking. • Vaping to cut down smoking does not appear to encourage quitting.
Multiple dose Pharmakokinetik und Metabolismus von Erlotnib in Phase 1b klinischer Prüfung

In der vorliegenden Dissertation wurde, im Rahmen des therapeutischen Drug Monitorings (TDM), die Pharmakokinetik von Erlotinib und seinem Hauptmetabolit OSI-420 in einer neuen Kombination mit Capecitabin und Bevacizumab bei der Therapie des Pankreaskarzinoms untersucht. Dabei wurde eine Dosiseskalation von Capecitabin in vier und von Erlotinib in zwei Dose levels durchgefuhrt. Die Steigerung der Capecitabin Dosis zeigte keinen Einfluss auf die Pharmakokinetik von Erlotinib. Die ANOVA Varianzanalyse bei der pharmakokinetischen Parameter zeigte keinen signifikanten Unterschied zwischen Dose levels 1 bis 4. Andernfalls zeigte eine Erhohung der Erlotinib Dosis von 100 auf 150 mg einen signifikanten Unterschied in der Bioverfugbarkeit, ausgedruckt als AUC zwischen diesen zwei Dose levels. Es wurde auch, wie erwartet, eine hohere maximale Plasmakonzentration gemessen. Im zweiten Teil der Dissertation wurde ein TDM von Erlotinib im Fall einer Langzeittherapie mit Tarceva® uber mehrere Monate bis zu einem Jahr durchgefuhrt. Dabei wurde auch die gesamte verabreichte Co-Medikation protokolliert und bezuglich moglicher pharmakokinetischer Auswirkung auf die Erlotinib Plasmakonzentrationen ausgewertet. Aus diesen Ergebnissen konnte festgestellt werden, dass Erlotinib nicht im Blut kumuliert und die gleichzeitige Co-Medikation mit Protonenpumpen Inhibitoren (PPI) zu erniedrigten Ctrough von Erlotnib unter der Threshold-Konzentration von 0.5 μg/ml fuhrt. Der Unterschied zwischen diesen zwei Kollektiven, mit und ohne PPI, in der Erlotinib Konzentrationen, die uber 60 Wochen gemessen wurden, war hoch signifikant. Diese Arbeit zeigt letztendlich, dass TDM von Erlotinib in verschiedenen Fallen wie Dosiseskalation, in der Kombinationstherapie mit anderen Medikamenten oder bei Organdysfunktion (z.B.Leberfunktionsstorungen) sehr sinnvoll ist, um die Sicherheit und Effizienz der Therapie gewahrleisten zu konnen.
The Effect of Mesenchymal Stem Cells Pulsed with 17 Beta-Estradiol in an Ameliorating Rat Model of Ulcerative Colitis

Background: Among the available supplements, 17 β -estradiol (E2) has strong proliferative eﬀects on mesenchymal stem cells (MSCs). Objectives: The current study aimed at evaluating the eﬀects of E2-primed MSCs therapy in a rat model of ulcerative colitis. Methods: After the isolation of MSCs, cells were co-cultured with E2 for 24 hours. Colitis was induced by acetic acid in four groups; the control colitis, MSCs-treated, E2-primed MSCs-treated (E2-MSCs), and normal. MSCs and E2-MSCs were injected into the peri-toneum in two distinct groups. After 10 days, the rats were evaluated for the level of nitric oxide, malondialdehyde, myeloperoxidase, total protein, and proinﬂammatory cytokines (IL-6, IL-1 β , and TNF- α ) in colonic homogenates. Results: ThecelltherapywithE2-MSCsinratswithcolitishadamoredesirableoutcome;indeed,itresultedinafavorableregression inclinicalscoreandinﬂammatoryproﬁleinratswithcolitisthantheMSCs-treated. Thelevelsof myeloperoxidase,nitricoxide,and malondialdehyde were signiﬁcantly diminished and, conversely, the total protein levels were signiﬁcantly increased in rats with ulcerativecolitisreceivingE2-MSCscomparedtoratswithcolitisreceivinguntreatedMSCs. Onthesameside,thelevelof proinﬂammatory cytokines reduced signiﬁcantly in E2-MSCs rats than the MSCs group. Conclusions: E2-MSCs decrease colonic damage signiﬁcantly, which is probably associated with the prominent reduction of lipid peroxidation, neutrophil inﬁltration, and the levels of proinﬂammatory cytokines in the colonic tissue. Therefore, it seems that E2 eﬀectivelysurmountsthelimitationsof MSCapplicationandmakesitanidealchoiceforcelltherapyininﬂammatorydiseasessuch as ulcerative colitis.
Success rate of undescended testicle treatment with human chorionic gonadotropin

Introduction: Cryptorchidism is a disorder of the testicles, when during a physical exam, testicles, one or both of them, are not found in the scrotum, but are found either along the inguinal canal or in the abdomen. Two main modalities of treatment are hormonal and surgical treatment. Aim: The aim of this paper was to determine the success rate of hormonal therapy with human chorionic gonadotropin (hCG) in undescended testicle treatment in patients treated at the Institute for Child and Youth Health Care in Vojvodina, from January 1, 2010, to December 31, 2017. Material and methods: This research included the patients from the Institute for Child and Youth Health Care in Vojvodina ages 0-18, treated from January 1, 2010, to December 31, 2017. Medical documentation has been analyzed and interpreted using methods of descriptive statistic. The research included boys with undescended testicles, to whom the hormonal therapy was indicated. Patients were divided into 3 groups ( 6 years). The therapy was applied twice a week, in the course of 5 weeks (hCG 250-1000 IJ/dose). The position 12 months after therapy was used as a final position. Results: The hormonal descend was achieved in 63 patients (62.4%) of the total number of patients. Тhe highest success rate was achieved in oldest of our patients (80%). Conclusion: Hormonal therapy with hCG leads to descent in a high percentage, with very little transitory adverse effects, and it is an important modality in undescended testicles treatment.
The Latent of Student Learning Analytic with K-mean Clustering for Student Behaviour Classification

Since the booming of “big data” or “data analytic” topics, it has drawn attention toward several research areas such as: student behavior classification, video surveillance, automatic navigation and etc. This paper present k-mean clustering technique to monitor and assess the student performance and behavior as well as give improvement toward e-learning system in the future. Data set of student performance along with teacher attributes are collected then analyzed, it was filtered into 6 attributes of teacher that may potentially affect the student performance. Afterwards, k-mean clustering applied into the filtered data set to generate particular cluster number. The result reveal that Teacher1 statistically hold the highest density (0.27) and teachers with good speech/lectures tend to have strong correlation with another factor such as: commitment of teacher on preparing lecture material and time management utilization. If this synergy between teacher and student running flawlessly, it will be great achievement for e-learning system to the society.
Sensor selection scheme in activity recognition based on hierarchical feature reduction

To better understand the activity state of human, we might need multiple sensors on different parts of the body. According to different types of activities, the number and slot of required sensors would also be different. Therefore, how to determine the number and slot of necessary sensors regarding to wearers’ experience and processing efficiency is a meaningful study in actual practice. In this work, we propose a novel sensor selection scheme that is based on the improvement of the feature reduction process of the recognition. This scheme applies a hierarchical feature reduction method based on mutual information with max relevance and low-dimensional embedding strategy. It divides the process of feature reduction into two stages: first, redundant sensors are removed with one-order sequential forward selection based on mutual information; second, feature selection strategy that maximizing class-relevance is integrated with low-dimensional mapping so that the set of features will be further compressed. To verify the feasibility and superiority of the scheme, we design a complete solution for real practice of human activity recognition. According to the results of the experiments, we are able to recognize human activities accurately and efficiently with as few sensors as possible.
Linear Algebra Students' Understanding of Similar Matrices and Matrix Representations of Linear Transformations in a MATLAB-Assisted Learning Environment

Abstract The purpose of this research study was to understand how mathematics majors make sense of similar matrices, a linear algebra topic that is rich in internal and external connections, in a series of in-depth qualitative interviews in a technology-assisted (MATLAB) learning environment. The study was also an attempt to develop a cognitive theory in mathematics majors’ treatment of similar matrices and matrix representations of linear transformations in a computer-assisted learning environment by drawing primarily on three aspects of the experimental mathematics methodology, made possible by using modern digital tools to enhance learning: testing conjectures, suggesting proofs, and, computing lengthy hand derivations (Borwein & Bailey, 2003). The analysis revealed a diversity of innovative ways by which research participants coordinated analytic and computational (MATLAB) methods for understanding matrix similarity and its connections to the rest of linear algebra. The paper concludes by offering pedagogical implications and recommendations for further research.
Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications

Tumor-infiltrating immune cells (TIICs) are crucial for the clinical outcome of renal cell carcinoma (RCC), as they regulate cancer progression. TIICs have therefore the potential to become novel targets of immunotherapies. The present study used CIBERSORT analytical tool, which is a deconvolution algorithm, to comprehensively analyze the composition of immune cells in RCC and normal tissues from The Cancer Genome Atlas (TCGA) cohort, and to determine the prognostic value of TIICs in RCC. A landscape of infiltrating immune cells was determined as containing 13 subpopulations of immune cells, with significant differences between normal and tumor tissues. Subsequently, Kaplan-Meier analysis and log-rank test were used to estimate the prognostic value of TIICs in RCC. The results demonstrated that a higher proportion of regulatory T cells (Tregs) [hazard ratio (HR)=1.596; 95% confidence interval (CI), 1.147–2.222; P=0.006] and follicular helper T cells (HR=1.516; 95% CI, 1.089–2.111; P=0.014) were associated with poor outcome in patients with RCC. Conversely, resting mast cells (HR=0.678; 95% CI, 0.487–0.943; P=0.021) and monocytes (HR=0.701; 95% CI, 0.503–0.977; P=0.036) were associated with a favorable prognosis in patients with RCC. Furthermore, the results from multivariate Cox regression analysis indicated that Tregs and monocytes represented independent risk factors for prognosis in patients with RCC. These findings demonstrated that gene profiling deconvolution by CIBERSORT served to determine the composition of immune cells infiltrated in RCC and may provide some crucial information for the development of immunotherapies.
Effect of antirheumatic treatment on endothelial function and levels of pentraxin 3 and selenium in patients with inflammatory arthritis

OsloMet Avhandling 2019 nr 25, Gia Deyab. Thesis submitted for the degree of Philosophiae Doctor (PhD). Faculty of Health Sciences. Oslo Metropolitan University. Autumn 2019 ISSN 2535-471X (trykt) / ISSN 2535-5414 (online)ISBN 978-82-8364-186-8 (trykt) / ISBN 978-82-8364-206-3 (online)
What do adolescent parents need to prevent repeat pregnancy? A qualitative investigation

ABSTRACT Adolescent mothers and their families are vulnerable to a range of problematic outcomes, including the public health problem of repeat adolescent pregnancy. Repeat adolescent pregnancy can cause reproductive health problems and further hinders the adolescent’s ability to finish high school, achieve economic independence, and successfully care for a young child. Unfortunately, the effectiveness of current strategies to prevent repeat adolescent pregnancy is limited. This qualitative study aimed to understand the needs of pregnant and newly parenting adolescents related to interventions and contraceptive strategies to delay repeat pregnancy. Semi-structured interviews were conducted with 10 adolescents (age 14–17; 90% Black; 10% White). The young women interviewed were enrolled in a residential program with the mission of providing housing and services to at-risk, socioeconomically disadvantaged pregnant and parenting adolescents. Themes emerged from the interviews that provided insight into the adolescent’s varied needs related to, as well as reasons for lack of openness to, sexual health education and contraceptive counseling. Peers appeared to be important sources of influence and often shared negative information about contraceptive use. Implications are discussed related to delivery of sexual health education and contraceptive counseling to adolescent parents.
Patient-tailored multimodal neurorehabilitation: The Lucerne model

Neurorehabilitation is a rapidly developing subspecialty of neurology due to medical advances and growing knowledge on functional recovery from brain injury such as plasticity and regeneration in the nervous system. Furthermore, progress in modern technologies facilitate new therapeutic concepts. Patient-tailored, flexible multimodal neurorehabilitation is essential in neurological diseases due to the diversity of symptoms. In addition, rehabilitative treatment should be realized from disease onset. To fulfill these goals, the neurocenter of the Cantonal Hospital Lucerne established an uninterrupted treatment chain from the emergency stage to the social and occupational reintegration, which is described in this article with a focus on stroke, Parkinson’s disease, and multiple sclerosis patients.
Genetic liability to schizophrenia is associated with exposure to traumatic events in childhood

Abstract Background There is a wealth of literature on the observed association between childhood trauma and psychotic illness. However, the relationship between childhood trauma and psychosis is complex and could be explained, in part, by gene–environment correlation. Methods The association between schizophrenia polygenic scores (PGS) and experiencing childhood trauma was investigated using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Norwegian Mother, Father and Child Cohort Study (MoBa). Schizophrenia PGS were derived in each cohort for children, mothers, and fathers where genetic data were available. Measures of trauma exposure were derived based on data collected throughout childhood and adolescence (0–17 years; ALSPAC) and at age 8 years (MoBa). Results Within ALSPAC, we found a positive association between schizophrenia PGS and exposure to trauma across childhood and adolescence; effect sizes were consistent for both child or maternal PGS. We found evidence of an association between the schizophrenia PGS and the majority of trauma subtypes investigated, with the exception of bullying. These results were comparable with those of MoBa. Within ALSPAC, genetic liability to a range of additional psychiatric traits was also associated with a greater trauma exposure. Conclusions Results from two international birth cohorts indicate that genetic liability for a range of psychiatric traits is associated with experiencing childhood trauma. Genome-wide association study of psychiatric phenotypes may also reflect risk factors for these phenotypes. Our findings also suggest that youth at higher genetic risk might require greater resources/support to ensure they grow-up in a healthy environment.
Can Rutin be Used as An Antidote for Acute Acetaminophen Induced Hepatic Toxicity? An Experimental Study

Acetaminophen (APAP) is the most commonly reported toxic ingestion in the world. Severe liver injury resulting from overdose of APAP remains a significant clinical problem. This study aimed to assess the use of rutin in the treatment of acute acetaminophen toxicity compared to N-acetyl cysteine (NAC) in mice. Sixty mice were divided into 6 groups; group (1) as a control group, group (2) was given toxic dose of acetaminophen 250 mg/kg once by intraperitoneal injection "i.p.", group (3) was given N-acetyl cysteine 204 mg/kg once i.p., group (4) was given 28 mg/kg rutin once orally, group (5) was given toxic dose of acetaminophen followed by N-acetyl cysteine after one hour once i.p. and group (6) was given toxic dose of acetaminophen followed after one hour by four oral doses of rutin at 12 h intervals. Animals were sacrificed 12h after the last treatment. Alanine transaminase (ALT) was measured and liver was removed and examined histopathologically. Results showed that acute acetaminophen hepatotoxicity was best treated by multiple doses of rutin rather than single dose of NAC. It is concluded that rutin can be used in treatment of acetaminophen induced acute hepatic toxicity.
Dopamine receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database

Dopamine receptors (nomenclature as agreed by the NC-IUPHAR Subcommittee on Dopamine Receptors [363]) are commonly divided into D1-like (D1 and D5) and D2-like (D2, D3 and D4) families, where the endogenous agonist is dopamine.
Discrete wavelet transform analysis and empirical mode decomposition of physiological signals for stress recognition

Stress is universally known to be a contributing factor in developing of many diseases. This work focuses on developing a user-independent and user-dependent stress recognition system using five physiological signals that are electromyogram, galvanic skin response, skin temperature, blood volume pulse and respiratory response. Emotional data is collected from 33 subjects by using Stroop game. These are processed using Discrete Wavelet Transform (DWT) and Empirical Mode Decomposition (EMD). Also, decomposition of physiological signals into intrinsic mode functions (IMFs) by the EMD method is done. With the Support Vector Machine (SVM), the classification results show a better accuracy using the DWT method compared to those of the EMD method. For the user-independent study an overall classification accuracy of 60.9% in stress recognition is reached whereas for the user-dependent study an overall classification accuracy of 80% is achieved. In addition, overall recognition rates attain 100% when using the DWT.
Big Data Visualization

—Nowadays, the data is a golden capital for any business organization that wants to improve their business. The big organizations and the most reputed ones do not only think to collect data, but they make continuous efforts to use this data for efficient decision making. Data Visualization plays a crucial importance in big data analysis. The existence of various data visualization methods can be confusing forusers to choose the most appropriate. In this document we give a guide for data visualization methods choosing, and how the traditional methods are improved to meet the big data visualizations need. The next topic highlights the importance of visual perception in data visualization design and gives some rules for the color choosing.