Voice Feature Extraction for Gender and Emotion Recognition

Voice recognition plays a key role in spoken communication that helps to identify the emotions of a person that reflects in the voice. Gender classification through speech is a widely used Human Computer Interaction (HCI) as it is not easy to identify gender by computer. This led to the development of a model for “Voice feature extraction for Emotion and Gender Recognition”. The speech signal consists of semantic information, speaker information (gender, age, emotional state), accompanied by noise. Females and males have different voice characteristics due to their acoustical and perceptual differences along with a variety of emotions which convey their own unique perceptions. In order to explore this area, feature extraction requires pre- processing of data, which is necessary for increasing the accuracy. The proposed model follows steps such as data extraction, pre- processing using Voice Activity Detector (VAD), feature extraction using Mel-Frequency Cepstral Coefficient (MFCC), feature reduction by Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifier. The proposed combination of techniques produced better results which can be useful in the healthcare sector, virtual assistants, security purposes and other fields related to the Human Machine Interaction domain.&nbsp

Can followâ up phone calls improve patients selfâ monitoring of blood glucose?

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135418/1/jocn13367.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/135418/2/jocn13367_am.pd

COMPARATIVE ESTIMATION OF SALIVARY TOTAL ANTIOXIDANT CAPACITY IN PERIODONTAL HEALTH AND CHRONIC PERIODONTITIS - A PILOT STUDY

Objective: Gram-negative bacteria provoke polymorphonuclear leukocyte (PMN) to release reactive oxygen species in chronic periodontitis (CP). Inability to maintain a balance between oxidative stress and antioxidant levels makes patients more susceptible to periodontal disease. The present study aims to estimate and compare salivary total antioxidant capacity (TAOC) in subjects with clinically healthy periodontium and patients with CP.Methods: After fulfilling the selection criteria, a total of 20 subjects (10 with clinically healthy periodontium and 10 with CP) were subjected to unstimulated salivary sample collection for biochemical estimation of TAOC by spectrophotometric assay using Kovacevic method. Analysis of data was done with unpaired student t-test, using SPSS version 22 statistical program.Results: Salivary TAOC was significantly higher in subjects with clinically healthy periodontium compared to CP patients. It was statistically significant (p<0.001).Conclusion: This study indicated increased levels of salivary TAOC in patients with CP compared to clinically healthy periodontium. Alteration in defensive antioxidant status could be a risk factor in the progression of periodontal disease

Using a Frontline Staff Intervention to Improve Cervical Cancer Screening in a Large Academic Internal Medicine Clinic

BACKGROUND: Cervical cancer is the third most common malignancy affecting women. Screening with Papanicolaou (Pap) tests effectively identifies precancerous lesions and early-stage cervical cancer. While the nationwide rate of cervical cancer screening (CCS) is 84%, our urban general internal medicine (GIM) clinic population had a CCS rate of 70% in 2016. OBJECTIVE: To improve our clinic\u27s CCS rate to match or exceed the national average within 18 months by identifying barriers and testing solutions. DESIGN: A quality improvement project led by a multidisciplinary group of healthcare providers. PARTICIPANTS: Our GIM clinic includes 16 attending physicians, 116 resident physicians, and 20 medical assistants (MAs) with an insured and underserved patient population. INTERVENTION: Phase 1 lasted 9 months and implemented CCS patient outreach, patient financial incentives, and clinic staff education. Phase 2 lasted 9 months and involved a workflow change in which MAs identified candidates for CCS during patient check-in. Feedback spanned the entire study period. MAIN MEASURES: Our primary outcome was the number of Pap tests completed per month during the 2 study phases. Our secondary outcome was the clinic population\u27s CCS rate for all eligible clinic patients. KEY RESULTS: After interventions, the average number of monthly Pap tests increased from 35 to 56 in phase 1 and to 75 in phase 2. Of 385 patients contacted in phase 1, 283 scheduled a Pap test and 115 (41%) completed it. Compared to baseline, both interventions improved cervical cancer screening (phase 1 relative risk, 1.86; 95% CI, 1.64-2.10; P \u3c 0.001; phase 2 relative risk, 2.70; 95% CI, 2.40-3.02; P \u3c 0.001). Our clinic\u27s CCS rate improved from 70% to 75% after the 18-month intervention. CONCLUSIONS: The rate of CCS increased by 5% after a systematic 2-phase organizational intervention that empowered MAs to remind, identify, and prepare candidates during check-in for CCS

Hyperdynamic Left Ventricular Ejection Fraction Is Associated With Higher Mortality in COVID-19 Patients

Study objective: To compare the characteristics and outcomes of COVID-19 patients with a hyperdynamic LVEF (HDLVEF) to those with a normal or reduced LVEF. Design: Retrospective study. Setting: Rush University Medical Center. Participants: Of the 1682 adult patients hospitalized with COVID-19, 419 had a transthoracic echocardiogram (TTE) during admission and met study inclusion criteria. Interventions: Participants were divided into reduced (LVEF \u3c 50%), normal (≥50% and \u3c70%), and hyper- dynamic (≥70%) LVEF groups. Main outcome measures: LVEF was assessed as a predictor of 60-day mortality. Logistic regression was used to adjust for age and BMI. Results: There was no difference in 60-day mortality between patients in the reduced LVEF and normal LVEF groups (adjusted odds ratio [aOR] 0.87, p = 0.68). However, patients with an HDLVEF were more likely to die by 60 days compared to patients in the normal LVEF group (aOR 2.63 [CI: 1.36–5.05]; p \u3c 0.01). The HDLVEF group was also at higher risk for 60-day mortality than the reduced LVEF group (aOR 3.34 [CI: 1.39–8.42]; p \u3c 0.01). Conclusion: The presence of hyperdynamic LVEF during a COVID-19 hospitalization was associated with an increased risk of 60-day mortality, the requirement for mechanical ventilation, vasopressors, and intensive care unit

Trickle infection with Heligmosomoides polygyrus results in decreased worm burdens but increased intestinal inflammation and scarring

IntroductionIntestinal roundworms cause chronic debilitating disease in animals, including humans. Traditional experimental models of these types of infection use a large single-dose infection. However, in natural settings, hosts are exposed to parasites on a regular basis and when mice are exposed to frequent, smaller doses of Heligmosomoides polygyrus, the parasites are cleared more quickly. Whether this more effective host response has any negative consequences for the host is not known.ResultsUsing a trickle model of infection, we found that worm clearance was associated with known resistance-related host responses: increased granuloma and tuft cell numbers, increased levels of granuloma IgG and decreased intestinal transit time, as well as higher serum IgE levels. However, we found that the improved worm clearance was also associated with an inflammatory phenotype in and around the granuloma, increased smooth muscle hypertrophy/hyperplasia, and elevated levels of Adamts gene expression.DiscussionTo our knowledge, we are the first to identify the involvement of this protein family of matrix metalloproteinases (MMPs) in host responses to helminth infections. Our results highlight the delicate balance between parasite clearance and host tissue damage, which both contribute to host pathology. When continually exposed to parasitic worms, improved clearance comes at a cost

Case Reports1. A Late Presentation of Loeys-Dietz Syndrome: Beware of TGFβ Receptor Mutations in Benign Joint Hypermobility

Background: Thoracic aortic aneurysms (TAA) and dissections are not uncommon causes of sudden death in young adults. Loeys-Dietz syndrome (LDS) is a rare, recently described, autosomal dominant, connective tissue disease characterized by aggressive arterial aneurysms, resulting from mutations in the transforming growth factor beta (TGFβ) receptor genes TGFBR1 and TGFBR2. Mean age at death is 26.1 years, most often due to aortic dissection. We report an unusually late presentation of LDS, diagnosed following elective surgery in a female with a long history of joint hypermobility. Methods: A 51-year-old Caucasian lady complained of chest pain and headache following a dural leak from spinal anaesthesia for an elective ankle arthroscopy. CT scan and echocardiography demonstrated a dilated aortic root and significant aortic regurgitation. MRA demonstrated aortic tortuosity, an infrarenal aortic aneurysm and aneurysms in the left renal and right internal mammary arteries. She underwent aortic root repair and aortic valve replacement. She had a background of long-standing joint pains secondary to hypermobility, easy bruising, unusual fracture susceptibility and mild bronchiectasis. She had one healthy child age 32, after which she suffered a uterine prolapse. Examination revealed mild Marfanoid features. Uvula, skin and ophthalmological examination was normal. Results: Fibrillin-1 testing for Marfan syndrome (MFS) was negative. Detection of a c.1270G > C (p.Gly424Arg) TGFBR2 mutation confirmed the diagnosis of LDS. Losartan was started for vascular protection. Conclusions: LDS is a severe inherited vasculopathy that usually presents in childhood. It is characterized by aortic root dilatation and ascending aneurysms. There is a higher risk of aortic dissection compared with MFS. Clinical features overlap with MFS and Ehlers Danlos syndrome Type IV, but differentiating dysmorphogenic features include ocular hypertelorism, bifid uvula and cleft palate. Echocardiography and MRA or CT scanning from head to pelvis is recommended to establish the extent of vascular involvement. Management involves early surgical intervention, including early valve-sparing aortic root replacement, genetic counselling and close monitoring in pregnancy. Despite being caused by loss of function mutations in either TGFβ receptor, paradoxical activation of TGFβ signalling is seen, suggesting that TGFβ antagonism may confer disease modifying effects similar to those observed in MFS. TGFβ antagonism can be achieved with angiotensin antagonists, such as Losartan, which is able to delay aortic aneurysm development in preclinical models and in patients with MFS. Our case emphasizes the importance of timely recognition of vasculopathy syndromes in patients with hypermobility and the need for early surgical intervention. It also highlights their heterogeneity and the potential for late presentation. Disclosures: The authors have declared no conflicts of interes

Congenital infiltrating lipomatosis of the face

Congenital unilateral facial enlargement can be attributed to a host of clinical conditions ranging from lipomatosis, lymphangioma, and vascular malformations to congenital overgrowth syndromes. Congenital infiltrating lipomatosis of the face (CILF) is one among them and is considered as a variant of benign lipomatosis. The exact etiology and pathogenesis are not known. It is characterized by proliferation and infiltration of adipocytes into adjacent muscles and soft tissues along with hypertrophy of underlying bones. Radiological imaging plays a central role in diagnosis as it enables accurate identification of CILF. Magnetic resonance imaging demonstrates the fatty nature of the disease, and computed tomography demonstrates the osseous abnormalities. In this case report, we discuss the case of an 8-year-old female child who presented with facial hemihypertrophy and how the rare diagnosis of CILF was clinched at imaging. The utility of radiological imaging in differentiation of CILF from its close differentials is also discussed

An Automated ANN Based Intelligent System for Vehicle Identification and Trail

Abstract — This paper introduces an ANN (Artificial Neural Network) based machine learning technique for vehicle identification and trail. Haar filter is employed in recognizing the features of images of the vehicles. The ANN is trained by the images from database which has been focused to feature extraction. This tough system is amalgamated with a Kalman filter, for manifold vehicle tracking and thus removing flawed noisy signals to construct an inclusive vehicle identification and trail system and assessed on public province based images of vehicles on fluctuating traffic, elucidation and climatic stipulations. Selective sampling, and retraining of informative samples is done which provides high recalling rate, and better localization effects on the identified and trailed images. The idea of this paper can be extended in the application of automated traffic control based on density of vehicles per unit time rather than preset timings