Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of selected factors on the efficacy and duration of treatment of disk displacement in the temporomandibular joint by occlusal repositioning splint

Introduction: Temporomandibular disorders are characterised by the presence of discomfort in masticatory muscles, the temporomandibular joint (TMJ), and nearby structures of the head and neck region. Introduction: The aim of the study was to evaluate the efficacy and duration of treatment with an occlusal repositioning splint in patients with disc displacement, with and without reduction in TMJ. Material and methods: A group of 40 patients, aged 16-55 years, was randomly selected for treatment using occlusal repositioning splints. Based on clinical and additional examinations, the therapeutic mandible position was established and an occlusal repositioning splint was produced. Clinical examinations, based on the Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD), were carried out before treatment and on each check-up visit (days 7 and 14, and every four weeks). Results: In the study group a statistically significant clinical improvement was observed after using an occlusal repositioning splint ( p < 0.05). Termination of treatment was between 3 and 12 months of observation. The efficacy depended significantly on advancement and severity of disorders. There was no effect of advancement and severity of dysfunction, duration of symptoms, general diseases, or malocclusion on the duration of treatment. A slightly greater chance for shorter duration of splint usage was seen in patients with disc displacement without reduction, with manual repositioning before the splint usage, compared to patients with disc displacement with reduction (HR = 1.02, 95% confidence level [CL] = 0.42-2.47; p = 0.9579). Conclusions: Treatment with an occlusal repositioning splint is effective in the elimination of signs and symptoms TMJ disk displacement. The improvement depends on disorder advancement and severity of symptoms. The time of treatment with the occlusal repositioning splint usage is highly individual
New Delhi Metallo-Beta-Lactamase Producing Carbapenem-Resistant Gram-Negative Bacilli: Microbiological And Genotypic Analyses At A Tertiary Care Hospital In Pakistan.

Background Metallo-beta-lactamases (MBL) catalyze the hydrolysis of beta-lactam antibiotics including carbapenems. A novel MBL subtype, New Delhi MBL (NDM), poses a serious public health problem. The aims of this study were to determine the frequency of NDM producers among the Carbapenem-resistant gram-negative bacilli (GNB) in hospitalized patients and carrying out the molecular analysis of the NDM genes as reliable data on this is not available in Pakistan. Methods We carried out a cross-sectional study on prospectively collected clinical samples from 113 patients hospitalised at Shaikh Zayed Hospital Lahore, Pakistan. All the samples that were carbapenem-resistant on routine sensitivity testing were selected for this study. Various microbiological and genotypic analyses of the samples were performed. Results The mean age of the patients was 47.8±20.8 years. About a quarter (25.7%) of the samples was from the urology ward and 43% were urine samples. Around two-third of the samples (n=74, 65.5%) tested positive for Non-Enterobacteriaceae GNB. Pseudomonas spp was the most common isolate among the Non-Enterobacteriaceae and E-coli amongst the Enterobacteriaceae. NDM gene was detected in 22 patients (19.5%). We did not find any association of the NDM gene with the demographic and clinical characteristics. Conclusion NDMpositive GNB are present in our hospitalized patients, which is worrisome as these bacteria can disseminate globally and lead to an extensive and uncontrollable spread of pandemic clones for which efficient antibiotic therapy is currently not available. Systemic surveillance network and infection control strategies should be established to curtail dissemination of NDM-producing GNB in Pakistan.
Analysis of 24-Hour Heart Rate Variability among Panic Disorder Patients without Previous Drug Treatment and Comorbid Disorders.

OBJECTIVE One of the METHODS used to assess autonomic nervous system dysfunction in the etiology of panic disorder (PD) is heart rate variability (HRV). HRV is controlled by the sympathetic and parasympathetic (vagal) branches of the autonomic nervous system and reflects the capacity of autonomic stimulation by the parasympathetic system. The aim of this study was to evaluate heart rate variability (HRV) time domain parameters based on twenty four hour holter ECG analysis among drug-naive patients with panic disorder (PD) without any other medical and psychiatric comorbidity. METHOD The study group consisted of 41 patients with PD and 46 healthy controls. Participants were evaluated with SCID-1 for psychiatric diagnoses. Then Hamilton Depression Rating Scale (HDRS), Hamilton Anxiety Rating Scale (HARS), Panic Disorder Severity Scale (PDSS) and Clinical Global Impression Scale (CGI-S) were applied to participants. Twenty four hour Holter ECG outcomes were analyzed on a computer program and time domain parameters were evaluated. RESULTS Among the parameters analyzed from HRV, SDANN was significantly higher (p <0.001); duration of RMSSD, NN50 and pNN50 were lower in PD group than the control group (p = 0.003, p = 0.005, p = 0.047, respectively). In the correlation analysis, there was a moderate negative correlation between CGI-S and NN50 and pNN50. In logistic regression analysis, the increase in SDNN was found to increase the probability of PD by 1.11 (95% CI, 1.010-1.209); the increase in SDANN was found to decrease the probability of PD by 0.892 (95% CI, 0.818-0.973), and the increase in pNN50 was found to decrease the probability of PD by 0.523 (95% CI, 0.342-0.801). CONCLUSION The data obtained in our study confirm that there is a decrease in some HRV parameters like RMSSD, NN50 and pNN50 reflecting parasympathetic activity among patients with PD.
Family Support, Self-efficacy, Motivation, and Treatment Adherence in Multidrug-resistant Tuberculosis Patients

Multidrug resistance (MDR) is caused by treatment inadherence. Inadherence is known to increase the risk of MDR tuberculosis (TB) by 2.3 times. Inadherence is prompted by a knowledge deficit, low self-efficacy, and poor motivation. Family support could be a solution to adherence problems. This study aimed to analyze the correlation of family support with self-efficacy, motivation, and treatment adherence in MDR TB patients. A cross-sectional study involved 55 respondents who were selected using consecutive sampling. The independent variable was family support. The dependent variables were self-efficacy, motivation, and treatment adherence. Data were retrieved through the completion of a questionnaire then analyzed statistically using the Spearman rank rho and Chi-square with α ≤ 0.05. Family support did not significantly correlate with self-efficacy with p-value = 0.429 or (p ≥ 0.05). Family support significantly correlated with motivation p-value = 0.043 r = 0.275 (p ≤ 0.05), and treatment adherence p-value = 0.037 or (p ≤ 0.05). TB MDR treatment should optimize family involvement to increase motivation and adherence. Further research suggests using counseling to improve family involvement in supporting MDR TB patients.
A typical drug design approach for AIDS in HIV genomics using various MD methods

In our work, we are working with HIV genomes and AIDS proteins. In our method, we are performing sequence alignment using Needle man wunch algorithm of development and application the approach to calculate free energy and entropy by using the non-physical, chemical path through a thermodynamic series while the drug will interact with the protein. Here we are working on the principle-based on protein-protein, protein-peptide, protein-ligand, virtual screening and compulsory free energy estimation for HIV genomics and AIDS proteins. For sequence comparison, we are using the Needleman Wunsch algorithm. Proposed In our proposed work, we have taken the decision parameter is as binding energy to check the efficiency of the drug.
Evidence for simulation in pharmacy education

Innovations in clinical pharmacy education have advanced patient‐centered care knowledge in skills of pharmacy graduates through the use of simulation, virtual reality, and gaming. Pharmacy schools and colleges, as well as health care institutions, have adopted simulation education in various clinical education formats for all levels of learners and practitioners. Over the past 15 years, the University of Pittsburgh School of Pharmacy has embraced innovative approaches to learning and documented advancement of clinical pharmacy education. This brief report will discuss advances in national and international pharmacy education, as well as the PittPharmacy experience with simulation education. A particular emphasis is on human patient simulation, computer‐based simulation, virtual patient, and gaming in the settings of direct patient care‐related education and assessment. The available literature and the experience at PittPharmacy shows improvement in learner satisfaction, knowledge enhancement, critical thinking skills, and problem solving in patient care topics. The evidence included provides support for the use of simulation to advance clinical pharmacy education and can serve to encourage further scholarship in this area.
Dysbiosis of the Oral Microbiome: Association with and Prevention of Human Diseases

Oral diseases are associated with systemic diseases; such as type II diabetes, cardiovascular disease, rheumatoid arthritis (RA), and neurological diseases. Coincidentally, the oral microbiome (fluids or extracts) is readily accessible and easily sampled; therefore, serving as a diagnostic or prognostic tool for health status. The oral microbiome is a useful research model for studying fundamental questions of the human microbiome. In this narrative literature review, we examine the characteristics of oral microorganisms, the relationship between oral microorganisms and human diseases, and the important role of oral microorganisms in disease prevention. Also, we illustrate the usefulness of sampling the oral microbiome in developing the diagnosis and prognostic treatment strategies for oral and systemic diseases to accelerate their clinical application. Selective saliva biomarkers and microbiome can serve for useful indices to oral diseases and systemic diseases, and as a model research tool, the oral cavity has many uses in the clinical and research environment. The relationships between oral health and systemic diseases are quite profound, and future research will illuminate opportunities for fruitful preventative measures and therapeutics.
Evaluation of the Health Assessment Questionnaire Disability Index in Chilean patients with rheumatoid arthritis.

BACKGROUND The Health Assessment Questionnaire Disability Index (HAQDI) is one of the main instruments used to evaluate functional status in rheumatoid arthritis (RA). AIM To assess the reliability and validity of the Spanish version of HAQDI in Chilean RA population. MATERIALS AND METHODS The questionnaire was applied to 98 patients with RA aged 44 ± 12 years (90% women). Reliability was assessed using Cronbach's alpha statistic for internal consistency. Construct validity was assessed by comparing total HAQDI value and eight HAQDI domains with multiple parameters of disease activity. Discriminant validity was evaluated by classifying disease activity in low, medium or high and evaluating HAQDI value in each category. Floor and ceiling effects were evaluated. To assess construct validity, principal components analysis was performed using varimax rotation. RESULTS There were no issues in the comprehensibility of the questionnaire. Mean HAQDI score was 1.57 ± 0.66. Standardized Cronbach's Alpha was 0.883. Correlations between Chilean HAQ domains had a p value less than 0.001, and values ranged from 0.317 to 0.597. Activity parameters, DAS 28 and CDAI were significantly correlated with HAQDI domains. Mean HAQDI values were 0.98 ± 0.59,1.45 ± 0.57, and 1.90 ± 0.56 for mild, moderate and severe disease activity. A principal components analysis identified two factors that accounted for 70.0% of total variability. CONCLUSIONS This study shows that the Spanish version of HAQDI is reliable and valid and can be used in Chilean patients with RA.
Analisis Perilaku Pengguna dalam Pembelian Item Virtual pada Game Online

Online games increasingly sell virtual item s to generate more income. Intent to purchase virtual items is different among gamers. This study aims to evaluate factors affecting gamer’s behavior and how to predict it toward purchasing virtual items. Simple random sampling was used in explanatory research using five-point Likert scale which was distributed to 300 users of online game in Indonesia. The process of analyzing data using structural equation modeling (SEM) to identify factors affecting user behaviors toward purchasing in virtual worlds. Keywords: virtual item, online game, SEM Abstrak Game online mengandalkan penjualan item secara virtual guna menghasilkan pendapatan yang lebih besar. Minat pengguna game online berbeda-beda dalam melakukan pembelian. Tujuan dari penelitian ini adalah untuk menguji faktor-faktor yang mempengaruhi perilaku pengguna dalam pembelian item virtual pada game online . Metode pengambilan sampel menggunakan simple random sampling dengan alat ukur berupa skala Likert. Jumlah subjek penelitian ini adalah 300 pengguna game online di Indonesia. Sampel penelitian dianalisis menggunakan structural equation modeling (SEM) guna mengidentifikasi faktor-faktor perilaku pengguna dalam pembelian item virtual pada game online . Kata kunci: item virtual, game online , SEM
The Ability of Cone Beam Computed Tomography to Predict Osteopenia and Osteoporosis via Radiographic Density Derived from Cervical Vertebrae

Background and aim: Osteoporosis (OP) is defined as a bone density-related disorder identified by reduction of the microstructure quality of bone with increased fracture risk. The current study aimed to evaluate the ability of cone beam computed tomography (CBCT) imaging method to predict osteoporosis and osteopenia using values of Radiographic Density (RD) derived from cervical vertebrae. Materials and methods: This study was a descriptive-cross sectional study conducted on 54 research units suffering from osteopenia and osteoporosis in the hip, aged 42-72 years. Finally, the values of RD from the lateral mass of the first cervical vertebra on both right and left side and dens and body of the second cervical vertebrae were calculated by NNT viewer software. Results: Comparing the all values of RD obtained from the first cervical vertebrae and second cervical vertebrae revealed statistically significant difference between the three groups (P-value <0.05). It was also found that the most accurate prediction of osteoporosis was related to the values of RD from body of C2 so that the accuracy equals to 99% and cut-off point (Cut-point) of it was 293 respectively. In addition, the most accurate prediction of hip-related osteopenia was for the values of RD from the body of C2 so that the accuracy is 88% and cut-off point it is also 375. Conclusion: According to the findings of this study, osteoporosis and osteopenia status can be predicted through RD value amounts related to body part of the second cervical vertebra, which were more precise compared to the
Relationship between Flexibility with Balance in the Elderly Based on Clinical Pathophysiology

Decreased of cognitive function is a normal condition experienced by the elderly. Flexibility is the deciding factor for gaining movement in humans. Muscle flexibility is largely determined by muscle length. When the hamstring muscle is shortened then the flexibility of the muscle in the condition of flexibility decreases, thus will affect the balance of muscle work and can lead to disruption of daily activities, such as change in posture and walk activity. The objective of this research is to know the relationship between muscle flexibility with balance in the elderly based on clinical pathophysiology. The research is observational study with cross sectional analytic study design aims to find out the relationship of muscle flexibility with balance in the elderly, with a large sample of 77 people. Data analysis techniques using pearson correlation. The relationship between flexibility with balance in the elderly obtained the result of p= 0,031, so a significant relationship between the two variables. The conclusion the is relationship between muscle flexibility with balance in the elderly. Keywords—flexibility, balance, elderly
Efficacy of Mindfulness-Based Cognitive Therapy on Headache Considering the Moderating Role of Alexithymia: A Randomized Controlled Trial

Background Mindfulness-based intervention has been found efficacious in reducing primary headaches and negative cognitive-related pain. However, little is known about the potential moderators in this regard. One of the most important moderators affecting the headaches is Alexithymia. Objective The present study investigated the moderating role of Alexithymia on the effect of Mindfulness- Based Cognitive Therapy (MBCT) on pain intensity in patients with primary headache. Methods A clinical trial was conducted in 2017 and 2018 at Imam Hossein Hospital of Tehran City, Iran. Using judgment sampling method, of 94 inpatients with chronic headache, 85 were selected and randomly assigned into the two groups of MBCT (43 patients) and control (42 patients). The Numerical Rating Scale (NRS) of Pain Self-Efficacy Questionnaire (PSEQ) and Pain Catastrophizing Scale (PCS) were applied to collect data. The obtained data were analyzed by Independent Samples t-test and Chi-squared test; longitudinal data were analyzed using linear mixed model analysis. Findings Statistically significant time×group interactions were found for pain intensity (P<0.001), selfefficacy (P<0.001), and catastrophizing (P<0.001). The obtained results indicated a significant reduction in pain, pain catastrophizing and increased self-efficacy. Conclusion MBCT is a potentially efficacious approach for individuals with headache. Alexithymia may have clinically relevant factors for identifying the patients who may benefit most from MBCT as a pain intervention.
Towards Prediction of Election Outcomes Using Social Media

Exploiting social media data by extracting key information from it is one of the great challenges in data mining and knowledge discovery. Every election campaign has an online presence of voters which uses these social media platform to express their sentiments and opinions towards political parties, leaders and important topics. This paper presents a novel data collection technique for prediction of election outcomes and a topic modeling method for extracting topics. Data collection technique used RSS (Rich Site Summary) feeds of news articles and trending keywords from Twitter simultaneously and constructed an intelligent prediction model based primarily on the volume of tweets and sentiment of users. This paper effort to improve electoral predictions using social media data based dynamic keyword methodology. Different techniques for electoral prediction based on social media data has been investigated based on existing literature and isolate the factors which improve our methodology. Meaningful inferences such as the popularity of leaders and parties during different intervals, trending issues, and important factors are extracted from the data set. The election outcomes are compared with traditional methods used by survey agencies for exit polls and validation of results showed that social media data can predict with better accuracy. The research has identified that data collection technique and timing play an important role in yielding better accuracy in predicting outcomes and extracting meaningful inferences.
Improved Strain Analysis of Left Ventricular Function Post Myocardial Infarction in Mice

MYOCARDIAL INFARCTION IN MICE by Danielle Wilson April, 2019 Director of Thesis: Stephanie M. George Major Department: Engineering A myocardial infarction (MI), caused by an arterial blockage preventing blood from flowing to a part of the heart, restricts tissue oxygenation and results cell death and myocardial tissue damage. This compromises contractility, resulting either in sudden death, or ventricular remodeling and eventually heart failure. Echocardiography is the standard, non-invasive cardiac imaging technique for humans and small animals. The standard measurements obtained from M-mode echocardiography to assess left ventricle (LV) function lack the sensitivity to detect subtle changes in regional LV performance at the early stages of disease. Speckle tracking techniques in conjunction with strain analysis overcome this issue by tracking the movement of the myocardium across 6 transverse segments of the LV. Analysis of strain in more regions of the heart from the apex (bottom) to base (top) would reveal earlier, localized detection of LV dysfunction.
Learning Hierarchical Bayesian Networks for Human Skill Modelling

In previous work [3] we have proposed Hierarchical Bayesian Networks (HBNs) as an extension of Bayesian Networks. HBNs are able to deal with structured domains, and use knowledge about the structure of the data to introduce a bias that can contribute to improving inference and learning methods. In effect, nodes in an HBN are (possibly nested) aggregations of simpler nodes. Every aggregate node is itself an HBN modelling independencies inside a subset of the whole world under consideration. In this paper we introduce inference in HBNs using a stochastic sampling algorithm, and a learning method for HBNs based on the Cooper and Herskovits structure likelihood measure [1]. We furthermore explore how HBNs can be applied to the problem of modelling right arm motion in cello playing. This problem is inherently hierarchical and therefore wellsuited for modelling by HBNs. The task is to construct a descriptive model for a player’s movements observing the position of different joints as well as muscular activity of the right arm during the execution of a short musical extract. Different datasets were used to construct models both for an amateur and a professional cello player, and differences between the derived HBNs can be used to interpret the differences on each person’s “tacit knowledge” on the task.
On the persistence of wireless advertising without infrastructure support

The number of devices connected to the Internet keeps growing, and the traffic they collectively generate grows even faster, creating congestion issues, especially in the network access segment. Some of the newer Internet applications can however be served with device-to-device (D2D) opportunistic communications, thus offloading a portion of the traffic from the network. This thesis studies and presents experiments on the possibility of providing content availability to end user terminals by exploiting D2D infrastructureless connectivity and opportunistic communication. In order to avoid unrealistic assumptions on the behavior of D2D communications, the work includes and builds upon the implementation of an Android application that supports infrastructureless distributed content sharing between wireless devices using Wi-Fi Direct. The collected experimental data permit to analyze the occurring events and to assess and compare the performance of the class of services under evaluation against existing communication protocols.