Control of Phomopsis Blight of Egg Plant through Fertilizer and Fungicide Management

The experiments were conducted at Laboratory of the Department of Plant Pathology and in the farm of Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh during Rabi season of the year 2007-2008. Four fungicides viz. Bavistin 50 WP (Carbendazim), Tilt 250 EC (Propiconazole), Cupravit 50 WP (Copperoxychloride) and Dithane M-45 (Mancozeb) and micronutrients (Gypsum, ZnO and Boric acid) were evaluated against Phomopsis vexans causing Phomopsis blight and fruit rot of eggplant. The fungicides and micronutrients either applied individually or in combination showed significant effect in terms of per cent leaf infection, fruit infection, leaf area diseased and fruit area diseased in comparison to control. Effect of each fungicide applied in combination with micronutrients always showed better performance in reducing disease incidence and disease severity than the fungicides applied alone. Among the fungicides, Bavistin 50 WP (0.1%) proved to be effective arresting the spore germination and mycelia growth of Phomopsis vexans assayed in in vitro test. Reduction of leaf area diseased caused by Bavistin 50 WP (0.1%) in combination with micronutrients were 58.17, 67.37, 78.41 and 85.25%, respectively at preflowering, post-flowering, fruiting and fruit ripening stages while Bavistin 50 WP (0.1%) alone reduced by 52.22, 58.67, 74.19 and 83.09%, respectively at those stages. Similarly reduction of fruit area diseased caused by Bavistin 50 WP (0.1%) in combination with micronutrients were 57.93 and 79.79%, respectively at fruiting and fruit ripening stages while Bavistin 50WP (0.1%) alone reduced by 56.93 and 76.14%, respectively at those stages. Micronutrients had little effect against the disease but significantly better than control.Int. J. Agril. Res. Innov. & Tech. 3 (1): 66-72, June, 2013 DOI: http://dx.doi.org/10.3329/ijarit.v3i1.1609

Analgesic and anti-inflammatory effects of Crinum asiaticum leaf alcoholic extract in animal models

This study investigated the analgesic and anti-inflammatory effects of Crinum asiaticum (Amaryllidaceae) leaf ethanolic extract. Analgesic effect was investigated in acetic acid induced writhing model and formalin induced licking model in swiss albino mice. Anti-inflammatory effect was conducted in carrageenan-induced paw edema model of albino rat. Data were analyzed by one-way analysis of variance (ANOVA) followed by post hoc multiple comparison test. In analgesic study, C. asiaticum extract inhibited 42.34±3.20% of acetic acid induced pain at higher dose of 2.0 g/kg body weight. The effect was statistically significant (p<0.001) compared to the positive control, diclofenac sodium (10 mg/kg). The extract reduced the formalin induced pain 22.60±1.39% in early phase and 27.11±0.87% in late phase at the same dose of 2.0 g/kg and the reductions were significant (p<0.01) compared to the positive control morphine (0.5 mg/kg). In a time-dependent inhibition of carrageenan-induced paw edema model, the extract promoted the inhibitions of paw edema 51.60±2.50% at the 1st h and 40.80±0.52% at the 4th h of administration. These inhibitions were also significant (p<0.01) in comparison to those promoted by diclofenac sodium. No mortality was observed in acute toxicity test. The study concludes that C. asiaticum leaf extract has potential analgesic and anti-inflammatory effects to be recorded as plant-derived complementary medicine.Keywords: Crinum asiaticum, anti-inflammatory, analgesic, Carrageenan, formalinAfrican Journal of Biotechnology Vol. 12(2

A Novel 2D Feature Extraction Method for Fingerprints Using Minutiae Points and Their Intersections

The field of biometrics has evolved tremendously for over the last century. Yet scientists are still continuing to come up with precise and efficient algorithms to facilitate automatic fingerprint recognition systems. Like other applications, an efficient feature extraction method plays an important role in fingerprint based recognition systems. This paper proposes a novel feature extraction method using minutiae points of a fingerprint image and their intersections. In this method, initially, it calculates the ridge ends and ridge bifurcations of each fingerprint image. And then, it estimates the minutiae points for the intersection of each ridge end and ridge bifurcation. In the experimental evaluation, we tested the extracted features of our proposed model using a support vector machine (SVM) classifier and experimental results show that the proposed method can accurately classify different fingerprint images

Varietal preference of okra jassid, Amrasca devastans (Dist.) under field condition of Bangladesh

An experiment was conducted in the Field Laboratory, Department of Entomology, (BAU), Mymensingh on the varietal preference of okra jassid, Amrasca devastans (Dist.) using 14 okra varieties viz. F1 Tamanna, Hybrid Okra Gunyon, Okra F1 Green Soft, OK 285, Okra F1 Green Star 33, F1 Hybrid Fresh Power, F1 Hybrid Sarosh 3, Hybrid Okra (MDR), Okra Nabil, BARI-1 (Samrat), Hybrid Chamak and Local variety during March to June 2014. The results indicated that host preference of jassid differed significantly among the 14 varieties tested. Three varieties viz. Hybrid Chamak, Arka Anamika and Kolatia were the least preferred by jassid. Five varieties viz. Okra Nabil, Hybrid Okra (MDR), F1 Hybrid Fresh Power, Local variety, and OK 285 were comparatively highly preferred and rest of the six varieties viz. Okra F1 Green Star 33, BARI-1 (Samrat), F1 Tamanna, F1 Hybrid Sarosh 3, Hybrid Okra Gunyon, and Okra F1 Green Soft were moderately preferred by jassid. This variation of preference of okra jassid might be due to different morphological and physiological characters of selected varieties. It could be concluded that comparatively resistant varieties selected from the present study might be incorporated to develop of IPM package for jassid

Relationship between weather variables and new daily covid-19 cases in Dhaka, Bangladesh

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The present study investigated the relationship between the transmission of COVID-19 infections and climate indicators in Dhaka, Bangladesh, using coronavirus infections data available from the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh. The Spearman rank correlation test was carried out to study the association of seven climate indicators, including humidity, air quality, minimum temperature, precipitation, maximum temperature, mean temperature, and wind speed with the COVID-19 outbreak in Dhaka, Bangladesh. The study found that, among the seven indicators, only two indicators (minimum temperature and average temperature) had a significant relationship with new COVID-19 cases. The study also found that air quality index (AQI) had a strong negative correlation with cumulative cases of COVID-19 in Dhaka city. The results of this paper will give health regulators and policymakers valuable information to lessen the COVID-19 spread in Dhaka and other countries around the world

Age-Related Differences of Risk Profile and Angiographic Findings in Patients with Coronary Heart Disease

Background: Coronary heart disease (CHD) is a major health problem which imposes a significant burden on health caresystems because of high morbidity and mortality. Objectives: To compare the risk factors profile for coronary heartdisease in young and old subjects. Methods: Total 100 patients (50 subjects less than 40 years of age and 50 subjectsmore than 40 years of age) with acute coronary syndrome or stable angina who were undergoing coronary angiogram inthe Department of Cardiology, University Cardiac Center, Bangabandhu Sheikh Mujib Medical University Dhaka, fromJuly 2006 to June 2008 were evaluated for the presence coronary artery disease risk factors e.g. hypertension, dyslipidemiaand smoking. Results: The mean age of the study population in younger group was (33.0 ± 6.4) years and in older group(52.0±8.6). The male to female ratio in both groups was 4:1. Smokers were more in younger group (70.0% vs. 46.0%) (p =0.032). Hypertension was less in the younger group (38.0% vs. 58.0%) (p = 0.045). Presence of diabetes was higher in theolder age group (34.0% vs. 4.0%) (p = 0.001). Higher incidence of family history of coronary heart disease was in theyounger age group. The total cholesterol was higher in older group (182.9 ± 33.1) vs. (171.1 ± 24.8 mg/dl) (p = 0.047). 68%of patients of older group and 38% of younger group had stenosis in left anterior descending artery (p = 0.003). Theinvolvement of left circumflex and right coronary artery in older age group were higher (56% and 66% respectively) thanthose in younger group (36% and 40% respectively) (p = 0.045 and p = 0.009). Conclusion: Ischemic heart disease inyounger adults < 40 years had different risk profile characteristics than older patients.Key words: Coronary heart disease; acute coronary syndrome; stable angina; risk factors.DOI: 10.3329/bsmmuj.v3i1.5508BSMMU J 2010; 3(1): 13-1

Is it me? Self-recognition bias across sensory modalities and its relationship to autistic traits

Background Atypical self-processing is an emerging theme in autism research, suggested by lower self-reference effect in memory, and atypical neural responses to visual self-representations. Most research on physical self-processing in autism uses visual stimuli. However, the self is a multimodal construct, and therefore, it is essential to test self-recognition in other sensory modalities as well. Self-recognition in the auditory modality remains relatively unexplored and has not been tested in relation to autism and related traits. This study investigates self-recognition in auditory and visual domain in the general population and tests if it is associated with autistic traits. Methods Thirty-nine neurotypical adults participated in a two-part study. In the first session, individual participant’s voice was recorded and face was photographed and morphed respectively with voices and faces from unfamiliar identities. In the second session, participants performed a ‘self-identification’ task, classifying each morph as ‘self’ voice (or face) or an ‘other’ voice (or face). All participants also completed the Autism Spectrum Quotient (AQ). For each sensory modality, slope of the self-recognition curve was used as individual self-recognition metric. These two self-recognition metrics were tested for association between each other, and with autistic traits. Results Fifty percent ‘self’ response was reached for a higher percentage of self in the auditory domain compared to the visual domain (t = 3.142; P < 0.01). No significant correlation was noted between self-recognition bias across sensory modalities (τ = −0.165, P = 0.204). Higher recognition bias for self-voice was observed in individuals higher in autistic traits (τ AQ = 0.301, P = 0.008). No such correlation was observed between recognition bias for self-face and autistic traits (τ AQ = −0.020, P = 0.438). Conclusions Our data shows that recognition bias for physical self-representation is not related across sensory modalities. Further, individuals with higher autistic traits were better able to discriminate self from other voices, but this relation was not observed with self-face. A narrow self-other overlap in the auditory domain seen in individuals with high autistic traits could arise due to enhanced perceptual processing of auditory stimuli often observed in individuals with autism

Management of Temporomandibular Joint Dysfunction Syndrome: An Overview

Temporomandibular joint dysfunction is a complex and multifactorial disorder of oro-facial region. It is one of the most common disorders in maxillofacial region. The usual complain of the patients with this syndrome are pain in the area of the jaw and associated muscles, eating problem, chewing and locking of the jaw. It is more common in female than male. It's etiology is not yet well established. However it's successful management depends on identification and controlling of the etiological factors.J Bangladesh Coll Phys Surg 2017; 35(3): 133-14