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Class imbalance problem (CIP) in a dataset is a major challenge that significantly affects the performance of Machine Learning (ML) models resulting in biased predictions. Numerous techniques have been proposed to address CIP, including, but not limited to, Oversampling, Undersampling, and cost-sensitive approaches. Due to its ability to generate synthetic data, oversampling techniques such as the Synthetic Minority Oversampling Technique (SMOTE) are the most widely used methodology by researchers. However, one of SMOTE's potential disadvantages is that newly created minor samples overlap with major samples. Therefore, the probability of ML models' biased performance toward major classes increases. Generative adversarial network (GAN) has recently garnered much attention due to their ability to create real samples. However, GAN is hard to train even though it has much potential. Considering these opportunities, this work proposes two novel techniques: GAN-based Oversampling (GBO) and Support Vector Machine-SMOTE-GAN (SSG) to overcome the limitations of the existing approaches. The preliminary results show that SSG and GBO performed better on the nine imbalanced benchmark datasets than several existing SMOTE-based approaches. Additionally, it can be observed that the proposed SSG and GBO methods can accurately classify the minor class with more than 90% accuracy when tested with 20%, 30%, and 40% of the test data. The study also revealed that the minor sample generated by SSG demonstrates Gaussian distributions, which is often difficult to achieve using original SMOTE and SVM-SMOTE., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Scorpion envenomation is a widespread issue in tropical and subtropical countries. In the present study epidemiology of scorpion sting cases and potential treatment options in district Hafizabad, Pakistan are documented. Hafizabad city and the adjacent villages were selected for the data collection. Age, gender, time, site of scorpion sting on the body, scorpion sting symptoms, number of patients obtaining medical attention and the number of fatalities (if any) were noted. Data showed that scorpion envenomation often occurs in people between the ages of 16-47 years. There were more female victims (55%) and most of the scorpion sting incidences (55.49%) occurred between 07 PM and 02 AM Among body parts, both the hands (41.71%) and feet (48.57%) were more vulnerable to scorpion stings. In rural areas, the incidences of scorpion stings were higher (68.57%). The reported symptoms of scorpion stings include pain, hypertension, nausea and allergy. Out of all the victims, only 56.05% sought treatment from health care units as well as traditional medicine practitioners. However, others (43.94%) fully healed on their own without any treatment. People were using different types of plant-based materials and dead scorpions with mustard oil as a potent remedy against scorpion stings. Moreover, in the health care units there was no antivenom available and medical staff usually used common pain killers such as Xylocain and Lignocain for the treatment of scorpion sting., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Caregivers of hypertensive patients play a significant role in ensuring adequate patient care and lowering the risk of hypertension-relatedcomplications. Caregivers are ideal study subjects for identifying gaps in hypertension management. Our study aimed to assess the knowledge, attitude, and practice (KAP) of hypertensive patients' caregivers, to identify their extent of involvement in patients' care, and to assess their care-related attributes. A descriptive cross-sectional study was conducted from August 2020 to February 2021 in the eight largest tertiary care medical college hospitals and all eight divisions of Bangladesh, with 949 caregivers enrolled. Data were collected using a pretested interviewer-administered questionnaire through snowball sampling and analyzed using a one-way ANOVA, independent-sample T -test, and chi-square test. Among the 949 interviewed caregivers, 541 (57.0%) were female, and 479 (50.5%) were aged 18 to 25 years. The percentage scores regarding overall knowledge, attitude, and practice of the caregivers were 54.83 ± 17.95, 47.95 ± 24.05, and 61.26 ± 17.50, respectively. Caregivers' education, history of hypertension, residence, age, relationship with the patient, occupation, and caregiving duration were significantly associated with the KAP scores. In addition, factors such as relationship with the patient, age, educational status, occupation, residence, and caregiving duration/day had significant correlations with all types of burden. Findings of this study suggest the necessity for awareness programs for the caregivers of hypertensive patients to diminish the gap in their KAP and improve their mental and physical health., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2023 Sudipta Deb Nath et al.)

Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, Machine Learning (ML) has shown potential in image-based diagnoses, such as detecting cancer, identifying tumor cells, and identifying coronavirus disease (COVID)-19 patients. Thus, ML could potentially be used to diagnose Monkeypox as well. In this study, we developed a Monkeypox diagnosis model using Generalization and Regularization-based Transfer Learning approaches (GRA-TLA) for binary and multiclass classification. We tested our proposed approach on ten different convolutional Neural Network (CNN) models in three separate studies. The preliminary computational results showed that our proposed approach, combined with Extreme Inception (Xception), was able to distinguish between individuals with and without Monkeypox with an accuracy ranging from 77% to 88% in Studies One and Two, while Residual Network (ResNet)-101 had the best performance for multiclass classification in Study Three, with an accuracy ranging from 84% to 99%. In addition, we found that our proposed approach was computationally efficient compared to existing TL approaches in terms of the number of parameters (NP) and Floating-Point Operations per Second (FLOPs) required. We also used Local Interpretable Model-Agnostic Explanations (LIME) to explain our model's predictions and feature extractions, providing a deeper understanding of the specific features that may indicate the onset of Monkeypox., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 Elsevier Ltd. All rights reserved.)

Giant cell tumor of tendon sheath arises from the synovium of tendon sheaths, joints, or bursa, mostly affects adults between 30 and 50 years of age, and is slightly more common in females. It corresponds to a localized form of pigmented villonodular synovitis (PVNS). Typically occur in the hand where they represent the second most common type of soft tissue tumors after synovial ganglions. Bilateral giant cell tumor of tendon sheath of tendoachilles is a rare presentation. We report the case of a 22-years-old female presenting with pain in both ankles without any history of trauma. On clinical examination, tenderness on both tendoachilles and local indurations were observed. Ultrasonography showed focal thickening of Achilles tendon bilaterally, and Doppler demonstrated increased flow in peritendinous area. MRI findings showed that most of the tumor had intermediate signal intensity and portions of the tumor had low signal intensity. Fine needle aspiration cytology confirmed the diagnosis of giant cell tumor of tendon sheath. Excision biopsy was done with no recurrence on subsequent follow-up.

Aims: To risk-stratify patients with type 2 diabetes mellitus (T2DM) according to the IDF-DAR 2021 guidelines and observe their responsiveness to risk-category-based recommendations and fasting experience., Methods: This prospective study, conducted in the peri -Ramadan period of 2022, evaluated adults with T2DM and categorized them using the IDF-DAR 2021 risk stratification tool. Recommendations for fasting according to the risk categories were made, their intention to fast was recorded, and follow-up data were collected within one month of the end of Ramadan., Results: Among 1328 participants (age 51.1 ± 11.9 years, female 61.1 %), only 29.6 % had pre-Ramadan HbA1c < 7.5 %. According to the IDF-DAR risk category, the frequencies of participants in the low-risk (should be able to fast), moderate-risk (not to fast), and high-risk (should not fast) groups were 44.2 %, 45.7 %, and 10.1 %, respectively. Most (95.5 %) intended to fast, and 71 % fasted the full 30 days of Ramadan. The overall frequencies of hypoglycemia (3.5 %) and hyperglycemia (2.0 %) were low. Hypoglycemia and hyperglycemia risks were 3.74-fold and 3.86-fold higher in the high-risk group than in the low-risk group., Conclusion: The new IDF-DAR risk scoring system seems conservative in the risk categorization of T2DM patients in terms of fasting complications., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Author(s).)

Autism spectrum disorder (ASD) is a neurological illness characterized by deficits in cognition, physical activities, and social skills. There is no specific medication to treat this illness; only early intervention can improve brain functionality. Since there is no medical test to identify ASD, a diagnosis might be challenging. In order to determine a diagnosis, doctors consider the child's behavior and developmental history. The human face can be used as a biomarker as it is one of the potential reflections of the brain and thus can be used as a simple and handy tool for early diagnosis. This study uses several deep convolutional neural network (CNN)-based transfer learning approaches to detect autistic children using the facial image. An empirical study is conducted to select the best optimizer and set of hyperparameters to achieve better prediction accuracy using the CNN model. After training and validating with the optimized setting, the modified Xception model demonstrates the best performance by achieving an accuracy of 95% on the test set, whereas the VGG19, ResNet50V2, MobileNetV2, and EfficientNetB0 achieved 86.5%, 94%, 92%, and 85.8%, accuracy, respectively. Our preliminary computational results demonstrate that our transfer learning approaches outperformed existing methods. Our modified model can be employed to assist doctors and practitioners in validating their initial screening to detect children with ASD disease.

Heart disease is one of the significant challenges in today's world and one of the leading causes of many deaths worldwide. Recent advancement of machine learning (ML) application demonstrates that using electrocardiogram (ECG) and patients' data, detecting heart disease during the early stage is feasible. However, both ECG and patients' data are often imbalanced, which ultimately raises a challenge for the traditional ML to perform unbiasedly. Over the years, several data level and algorithm level solutions have been exposed by many researchers and practitioners. To provide a broader view of the existing literature, this study takes a systematic literature review (SLR) approach to uncover the challenges associated with imbalanced data in heart diseases predictions. Before that, we conducted a meta-analysis using 451 reference literature acquired from the reputed journals between 2012 and November 15, 2021. For in-depth analysis, 49 referenced literature has been considered and studied, taking into account the following factors: heart disease type, algorithms, applications, and solutions. Our SLR study revealed that the current approaches encounter various open problems/issues when dealing with imbalanced data, eventually hindering their practical applicability and functionality. In the diagnosis of heart disease, machine learning approaches help to improve data-driven decision-making. A metadata analysis of 451 articles and content analysis of 49 selected articles of heart disease diagnosis. Researchers primarily concentrated on enhancing the performance of the models while disregarding other issues such as the interpretability and explainability of Machine learning algorithms., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges in developing the early diagnosis tool and effective treatment. Machine learning (ML), an area of artificial intelligence (AI), enables researchers, physicians, and patients to solve some of these issues. Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases. Initially, a bibliometric analysis of the publication is carried out using data from the Scopus and Web of Science (WOS) databases. The bibliometric study of 1216 publications was undertaken to determine the most prolific authors, nations, organizations, and most cited articles. The review then summarizes the most recent trends and approaches in machine-learning-based disease diagnosis (MLBDD), considering the following factors: algorithm, disease types, data type, application, and evaluation metrics. Finally, in this paper, we highlight key results and provides insight into future trends and opportunities in the MLBDD area.

For the sound field reconstruction of large conical surfaces, current statistical optimal near-field acoustic holography (SONAH) methods have relatively poor applicability and low accuracy. To overcome this problem, conical SONAH based on cylindrical SONAH is proposed in this paper. Firstly, elementary cylindrical waves are transformed into those suitable for the radiated sound field of the conical surface through cylinder-cone coordinates transformation, which forms the matrix of characteristic elementary waves in the conical spatial domain. Secondly, the sound pressure is expressed as the superposition of those characteristic elementary waves, and the superposition coefficients are solved according to the principle of superposition of wave field. Finally, the reconstructed conical pressure is expressed as a linear superposition of the holographic conical pressure. Furthermore, to overcome ill-posed problems, a regularization method combining truncated singular value decomposition (TSVD) and Tikhonov regularization is proposed. Large singular values before the truncation point of TSVD are not processed and remaining small singular values representing high-frequency noise are modified by Tikhonov regularization. Numerical and experimental case studies are carried out to validate the effectiveness of the proposed conical SONAH and the combined regularization method, which can provide reliable evidence for noise monitoring and control of mechanical systems.

The COVID-19 global pandemic caused by the widespread transmission of the novel coronavirus (SARS-CoV-2) has become one of modern history's most challenging issues from a healthcare perspective. At its dawn, still without a vaccine, contagion containment strategies remained most effective in preventing the disease's spread. Patient isolation has been primarily driven by the results of polymerase chain reaction (PCR) testing, but its initial reach was challenged by low availability and high cost, especially in developing countries. As a means of taking advantage of a preexisting infrastructure for respiratory disease diagnosis, researchers have proposed COVID-19 patient screening based on the results of Chest Computerized Tomography (CT) and Chest Radiographs (X-ray). When paired with artificial-intelligence- and deep-learning-based approaches for analysis, early studies have achieved a comparatively high accuracy in diagnosing the disease. Considering the opportunity to further explore these methods, we implement six different Deep Convolutional Neural Networks (Deep CNN) models-VGG16, MobileNetV2, InceptionResNetV2, ResNet50, ResNet101, and VGG19-and use a mixed dataset of CT and X-ray images to classify COVID-19 patients. Preliminary results showed that a modified MobileNetV2 model performs best with an accuracy of 95 ± 1.12% (AUC = 0.816). Notably, a high performance was also observed for the VGG16 model, outperforming several previously proposed models with an accuracy of 98.5 ± 1.19% on the X-ray dataset. Our findings are supported by recent works in the academic literature, which also uphold the higher performance of MobileNetV2 when X-ray, CT, and their mixed datasets are considered. Lastly, we further explain the process of feature extraction using Local Interpretable Model-Agnostic Explanations (LIME), which contributes to a better understanding of what features in CT/X-ray images characterize the onset of COVID-19.

Objectives: This study aimed to analyze the epidemiological and clinical characteristics of COVID-19 cases and investigate risk factors including comorbidities and age in relation with the clinical aftermath of COVID-19 in ICU admitted cases in Bangladesh., Methods: In this retrospective study, epidemiological and clinical characteristics, complications, laboratory results, and clinical management of the patients were studied from data obtained from 168 individuals diagnosed with an advanced prognosis of COVID-19 admitted in two hospitals in Bangladesh., Results: Individuals in the study sample contracted COVID-19 through community transmission. 56.5% (n = 95) cases died in intensive care units (ICU) during the study period. The median age was 56 years and 79.2% (n = 134) were male. Typical clinical manifestation included Acute respiratory distress syndrome (ARDS) related complications (79.2%), fever (54.2%) and cough (25.6%) while diabetes mellitus (52.4%), hypertension (41.1%) and heart diseases (16.7%) were the conventional comorbidities. Clinical outcomes were detrimental due to comorbidities rather than age and comorbid individuals over 50 were at more risk. In the sample, oxygen saturation was low (< 95% SpO2) in 135 patients (80.4%) and 158 (93.4%) patients received supplemental oxygen. Identical biochemical parameters were found in both deceased and surviving cases. Administration of antiviral drug Remdesivir and the glucocorticoid, Dexamethasone increased the proportion of surviving patients slightly., Conclusions: Susceptibility to developing critical illness due to COVID-19 was found more in comorbid males. These atypical patients require more clinical attention from the prospect of controlling mortality rate in Bangladesh., Competing Interests: Conflicts of interest statement The authors declare no conflict of interest., (©2021 Pacini Editore SRL, Pisa, Italy.)

Different types of solitary brain lesions and also tumefactive demyelinating lesions exhibit many features on CT and MRI that are characteristics of malignancy and surgical biopsy is often performed in suspected tumour. Proton MR Spectroscopy has been used to differentiate different type of these solitary brain lesions. Our purpose is to determine whether MR spectroscopy is able to improve preoperative diagnostic accuracy in case of intracranial solitary tumors. This cross sectional study was carried out among 44 patients who were referred to Radiology and Imaging Department by Neurosurgery and Neuro-medicine department of BSMMU, Dhaka, Bangladesh as MRI suspected glioma for MRS scan during the period of 24 months. MRS was performed in 44 patients with suspected glioma. Metabolic ratio of choline: Cr, NAA: Cr, Lactate: Cr was calculated in short and intermediated echo times (TES). Tumors were subdivided into neoplasm and inflammatory mass. Neoplasm was again subdivided into glioblastoma multiforme and solitary metastasis. The patients were followed up and surgical resection biopsy reports were collected. MRS findings and histopathological findings were then correlated. In this study 68.18% of patients were diagnosed as Glioblastoma multiform by MRS and also in histopathology 18.18%. Patient was diagnosed as solitary metastasis in MRS and 20.45%. Patient was diagnosed as solitary metastasis by histopathology and 13.64%. Patient was diagnosed as abscess in MRS while in histopathology 11.37% patients were diagnosed as abscess.

Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of those methods as they are often challenged by limited datasets, performance legitimacy on imbalanced data, and have their results typically reported without proper confidence intervals. Considering the opportunity to address these issues, in this study, we propose and test six modified deep learning models, including VGG16, InceptionResNetV2, ResNet50, MobileNetV2, ResNet101, and VGG19 to detect SARS-CoV-2 infection from chest X-ray images. Results are evaluated in terms of accuracy, precision, recall, and f- score using a small and balanced dataset (Study One), and a larger and imbalanced dataset (Study Two). With 95% confidence interval, VGG16 and MobileNetV2 show that, on both datasets, the model could identify patients with COVID-19 symptoms with an accuracy of up to 100%. We also present a pilot test of VGG16 models on a multi-class dataset, showing promising results by achieving 91% accuracy in detecting COVID-19, normal, and Pneumonia patients. Furthermore, we demonstrated that poorly performing models in Study One (ResNet50 and ResNet101) had their accuracy rise from 70% to 93% once trained with the comparatively larger dataset of Study Two. Still, models like InceptionResNetV2 and VGG19's demonstrated an accuracy of 97% on both datasets, which posits the effectiveness of our proposed methods, ultimately presenting a reasonable and accessible alternative to identify patients with COVID-19., (This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.)

Background and Aims: Diabetes mellitus is highly prevalent among critical cases of coronavirus disease 2019 (COVID-19) with poor outcomes. This study aimed to describe the clinical characteristics and outcomes of COVID-19 patients with diabetes, admitted in the intensive care unit (ICU) of the southern region of Bangladesh., Methods: Epidemiological, clinical, laboratory, treatments, complications, and clinical outcomes data were extracted from electronic medical records of 168 COVID-19 patients admitted into ICU of two COVID-19 dedicated hospitals of Chattogram, Bangladesh and compared between diabetes (n = 88) and non-diabetes (n = 80) groups., Results: The prevalence of diabetes was high among 51-70 years old patients. All the diabetic patients had at least one other comorbidity, with a significantly higher incidence of hypertension (53.4% vs 27.5%, P < 0.05). Prevalence of male patients (74/88; 84.1%) was slightly higher among diabetic patients than the non-diabetic patients (60/80; 75%). Even though not significant, Kaplan-Meier survival curve showed that COVID-19 patients with diabetes had a shorter overall survival time than those without diabetes. In subgroup analysis, diabetic patients were classified into insulin-requiring and non-insulin-requiring groups based on their requirement of insulin during the stay in ICU. COVID-19 infected diabetic patients requiring insulin have high risk of disease progression and shorter survival time than the non-insulin required group., Conclusions: Diabetes is an independent risk factor for the poor prognosis of COVID-19. More attention should be paid to the prevention and prompt treatment of diabetic patients, to maintain good glycaemic control especially those who require insulin therapy., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest., (Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Background and Aim: Highly pathogenic avian influenza (HPAI) is a deadly virus of zoonotic potential. The study mainly aims to determine the risk pathways (RPs) for the probable incursion of HPAI virus (HPAIV) in backyard poultry in Bangladesh., Materials and Methods: The study involves expert elicitation technique. The concept map determines the possible RPs. The map consists of 16 concepts, each with nodes from which probabilities of an event originates. These probabilities are described by qualitative descriptors ranging from negligible to high. Risk assessment has been performed using the subjective risk assessment tool., Results: The tool demonstrates positive correlation among groups of experts in the level of agreement by scoring RP; however, the level of agreement varies from 71% to 93% among group of experts. The median risk score of viral incursion through the "Exposure of backyard poultry with farm poultry in the trading market" was 11 and ranked as top, followed by "Contaminated live bird market environment" and "Sharing common scavenging space with migratory birds" (median risk score, 10.5; rank, 2), and "Scavenging of infected slaughtered poultry remnants by backyard poultry" (median risk score, 5.3; rank, 3) when no control options were applied along with the RPs. After applying or considering control option along with contaminated live bird market environment, the median risk score was reduced to 5.0. Applying a specific control option along with each RP reduced estimated median risk scores for HPAIV incursions., Conclusion: This study provides an insight into the incursion risks of HPAIV through various RPs in backyard poultry in Bangladesh., (Copyright: © Islam, et al.)

Hypertension and diabetes co-exist frequently. Therefore, salt intake behavior, a risk factor of hypertension, in diabetic patients plays an important role in determining their cardiovascular outcome. The purpose of this study was to assess the knowledge and behaviors of health risks associated with a salt intake in adults with type 2 diabetes. This cross-sectional study was conducted among the type 2 diabetic in-patients of Bangladesh Institute of Health Sciences General Hospital, Dhaka, Bangladesh from October to December 2016. Data were collected from 131 respondents through interview using WHO STEPS module of salt with adaptation to local context like on amount of added salt while taking meal. Information on blood pressure, body mass index and relevant co-morbidities were also collected. About half of the respondents were women (56.5%). Mean age of the respondents was 54.3±14.4 years. More than six in 10 of them (62.6%) took added salt while taking meal; and 40.5% took processed foods with high salt. The mean amount of added salt intake among the users was 4.4±1.6gm per day having no significant difference between men and women. Though 47.3% of the respondents believed that lowering salt in meal is very important and 77.9% of them believed that excess salt or salty sauce can cause health problems. Salt intake behavior is poor in patients with type 2 diabetes even having regular contacts with doctors and other health professionals. Appropriate measures can be taken to increase awareness, change their attitude and behavior regarding salt consumption.

Diastolic function usually declines before systolic function, and this precedes clinical signs in patients with acute coronary syndrome. Therefore, diagnosis of diastolic dysfunction is very important for early diagnosis, follow-up, treatment, and prognostic evaluation in heart failure with preserved ejection fraction (HFpEF) patients. The main objective of the study was to find out association between prolonged QTc dispersion and left ventricular diastolic dysfunction in Non ST Segment Elevation Myocardial Infarction (NSTEMI) patients in HFpEF. This cross sectional analytical study was conducted in the Department of Cardiology and 60 patients were included as study population from August 2015 to July 2016. Then the study population was divided into two groups, each group consisted of 30 patients. NSTEMI patients with prolonged QTc dispersion treated as Group I and NSTEMI patients with normal QTc dispersion treated as Group II. The study shows 20.0% vs. 26.6% patients had detected as Grade I in Group I and Group II respectively with statistically insignificant association (p=0.16). On the contrary, 30.0% vs. 13.4% patients had detected as Grade II in Group I and Group II respectively with statistically significant association (p=0.001). Again, 40.0% vs. 10.0% patients had detected as Grade III in Group I and Group II respectively with statistically significant association (p=0.001). QTc dispersion was found sequentially significant increased (p=0.007) among 3 grades of LVDD (63.6±4.9 vs. 79.4±8.6 vs. 98.2±28.8). QTc dispersion in surface ECG which is a cheap, non-invasive, easily available tool can help us predicting left ventricular diastolic dysfunction in patients with NSTEMI.

In the present study, two common buthid scorpions, i.e., Androctonus finitimus (Pocock, 1897) (Scorpiones: Buthidae) and Hottentota tamulus (Fabricus, 1798) (Scorpiones: Buthidae), were maintained in the laboratory for venom recovery. The aim of study was to compare the quantity and quality of venom extracted from scorpions by manual and electrical method. We also recorded the effect of diet and temperature on venom production. Results of our study revealed that electrical method yielded good quality and higher quantity of venom as compared to manual method. The quantity of venom by two studied species differed statistically. We recorded the effect of food on venom production by providing different prey items to the scorpions and found that grasshopper nymphs and adults were the best diet for the scorpions to get maximum yield of venom as compared to other prey types (house crickets, house flies, and moths). Production of venom and activity of scorpions was found to be associated with temperature. During winter season, venom recovery was comparatively low as compared to the hottest part of year; when venom milking and activity of scorpions both were increased.

Bioplastics are derived from renewable biomass sources, such as vegetable oils, cellulose, and starches. An important and high-performance member of the bioplastic family is Nylon 12. The biosynthesis of ω-amino dodecanoic acid (ω-AmDDA), the monomer of Nylon 12 from vegetable oil derivatives is considered as an alternative to petroleum-based monomer synthesis. In this study, for the production of ω-AmDDA from dodecanoic acid (DDA), the cascade of novel P450 (CYP153A), alcohol dehydrogenase (AlkJ), and ω-transaminase (ω-TA) is developed. The regioselective ω-hydroxylation of 1 mM DDA with near complete conversion (>99%) is achieved using a whole-cell biocatalyst co-expressing CYP153A, ferredoxin reductase and ferredoxin. When the consecutive biotransformation of ω-hydroxy dodecanoic acid (ω-OHDDA) is carried out using a whole-cell biocatalyst co-expressing AlkJ and ω-TA, 1.8 mM ω-OHDDA is converted into ω-AmDDA with 87% conversion in 3 h. Finally, when a one-pot reaction is carried out with 2 mM DDA using both whole-cell systems, 0.6 mM ω-AmDDA is produced after a 5 h reaction. The results demonstrated the scope of the potential cascade reaction of novel CYP153A, AlkJ, and ω-TA for the production of industrially important bioplastic monomers, amino fatty acids, from FFAs., (© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Pituitary adenoma is the third most common primary intracranial neoplasm involving the adult population with clinical features due to excess or deficient hormone secretion or due to its mass effect. Debate about the diagnostic accuracy, sensitivity and specificity of MRI imaging in detecting pituitary adenoma has been continuing. The study was aimed to evaluate the accuracy, sensitivity and specificity of MR imaging in detecting pituitary adenoma. This cross sectional study was conducted in the Department of Radiology and imaging, Bangabandhu Sheikh Mujib medical University (BSMMU) from July 2013 to August 2015. It was carried out in 50 pituitary adenoma cases of which, 28 male and 22 female to see the impact of MRI in the diagnosis of pituitary of adenoma. Out of 50 cases 43 cases were diagnosed by MRI, 3 were normal and 2 were pituitary apoplexy, one was immature teratoma as confirmed through histopathology. So, MRI has got major impact in the diagnosis of pituitary adenoma.

Determination of age is one of the most important and vital demand in legal affairs, court and young sports, especially from 7-21 years. There is no established age determination table in our county. So we are dependent upon Galstaun, Bashu & Bashu and other European tables, which sometimes provide misinterpretation and variation of opinion. We should have our own table suitable for our nation. So, this prospective study was carried out in the Department of Radiology and Imaging of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from July 2010 to June 2014 (five years) to assess the general skeletal maturity. Three hundred boys and girls of known date of birth were selected on random basis from Dhaka. Ages were limited within 7 to 21 year. Every 20 person for each age group, of them 10 were male and 10 were female. To observe the bony maturity, radiographs were taken at the end of their age belongs to. Thus a growth table is to be prepared for further evaluation.

In spite of the global decline in its incidence and mortality, gastric carcinoma still remains a major cause of death due to cancer. Early detection of gastric carcinoma is expected to reduce mortality rates. The applications of measuring of pepsinogen I and pepsinogen II are useful in screening of gastric carcinoma. This cross sectional comparative study was done to find out the correlation of histopathological pattern of gastric carcinoma with serum pepsinogen I & II ratio in the Department of Pathology, Sylhet MAG Osmani Medical College, Sylhet, Bangladesh from January 2010 to December 2010. For these purpose 40 patients with gastric carcinoma, endoscopically visible and histopathologically proved malignant lesions were enrolled as case group. Forty subjects with normal upper GI endoscopy were taken as control. Five ml of venous blood was taken from both case and control subjects to determine serum pepsinogen I and pepsinogen II level by ELISA method, subsequently pepsinogen I and II ratio was calculated. In this study different cut off values of serum pepsinogen I and II ratio was determined and the sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 70.0%, 97.5% 96.6% 76.5% and 83.8% respectively, at cut off value of 6. Which is the most suitable cut off point of serum pepsinogen I and II ratio for gastric cancer screening.

Tuberculosis is a very common disease in our country. This retrospective histopathological study was designed to assess the distribution of extra-pulmonary tuberculosis (EPTB) in various organs through examination of biopsy specimens. A total of 216 specimens were diagnosed as tubercular lesion by histopathological evaluation in the Department of pathology, Community Based Medical College and a private laboratory during the period from January 2014 to December 2014. Mean age of the case was 32 years. Majority of the cases were female (126 out of 216). Lymph nodes were the most common site of EPTB (62.96%) followed by skin and subcutaneous tissue (17.59%), intestine (11.11%), breast (2.77%), female genital tract (2.31%), male genital tract (1.38%), bone and joint (1.85%). Out of 136 cases of tubercular lymphadenitis, 96(70.58%) were cervical, 18(13.23%) were axillary, 12(3.82%) were mesenteric and 10(7.35%) were inguinal. This study reveals, in our locality, EPTB is very common in adulthood with female preponderance. Cervical lymph node is very common sites for EPTB.

Fungal cytochrome P450 (CYP) enzymes catalyze versatile monooxygenase reactions and play a major role in fungal adaptations owing to their essential roles in the production avoid metabolites critical for pathogenesis, detoxification of xenobiotics, and exploitation avoid substrates. Although fungal CYP-dependent biotransformation for the selective oxidation avoid organic compounds in yeast system is advantageous, it often suffers from a shortage avoid intracellular NADPH. In this study, we aimed to investigate the use of bacterial glucose dehydrogenase (GDH) for the intracellular electron regeneration of fungal CYP monooxygenase in a yeast reconstituted system. The benzoate hydroxylase FoCYP53A19 and its homologous redox partner FoCPR from Fusarium oxysporum were co-expressed with the BsGDH from Bacillus subtilis in Saccharomyces cerevisiae for heterologous expression and biotransformations. We attempted to optimize several bottlenecks concerning the efficiency of fungal CYP-mediated whole-cell-biotransformation to enhance the conversion. The catalytic performance of the intracellular NADPH regeneration system facilitated the hydroxylation of benzoic acid to 4-hydroxybenzoic acid with high conversion in the resting-cell reaction. The FoCYP53A19 +FoCPR+BsGDH reconstituted system produced 0.47 mM 4-hydroxybenzoic acid (94% conversion) in the resting-cell biotransformations performed in 50 mM phosphate buffer (pH 6.0) containing 0.5 mM benzoic acid and 0.25% glucose for 24 h at 30°C. The "coupled-enzyme" system can certainly improve the overall performance of NADPH-dependent whole-cell biotransformations in a yeast system.

Bacterial cytochrome P450 enzymes in cytochrome P450 (CYP)153 family were recently reported as fatty acid ω-hydroxylase. Among them, CYP153As from Marinobacter aquaeolei VT8 (CYP153A33), Alcanivorax borkumensis SK2 (CYP153A13), and Gordonia alkanivorans (CYP153A35) were selected, and their specific activities and product yields of ω-hydroxy palmitic acid based on whole cell reactions toward palmitic acid were compared. Using CamAB as redox partner, CYP153A35 and CYP153A13 showed the highest product yields of ω-hydroxy palmitic acid in whole cell and in vitro reactions, respectively. Artificial self-sufficient CYP153A35-BMR was constructed by fusing it to the reductase domain of CYP102A1 (i.e., BM3) from Bacillus megaterium, and its catalytic activity was compared with CYP153A35 and CamAB systems. Unexpectedly, the system with CamAB resulted in a 1.5-fold higher yield of ω-hydroxy palmitic acid than that using A35-BMR in whole cell reactions, whereas the electron coupling efficiency of CYP153A35-BM3 reductase was 4-fold higher than that of CYP153A35 and CamAB system. Furthermore, various CamAB expression systems according to gene arrangements of the three proteins and promoter strength in their gene expression were compared in terms of product yields and productivities. Tricistronic expression of the three proteins in the order of putidaredoxin (CamB), CYP153A35, and putidaredoxin reductase (CamA), i.e., A35-AB2, showed the highest product yield from 5 mM palmitic acid for 9 h in batch reaction owing to the concentration of CamB, which is the rate-limiting factor for the activity of CYP153A35. However, in fed-batch reaction, A35-AB1, which expressed the three proteins individually using three T7 promoters, resulted with the highest product yield of 17.0 mM (4.6 g/L) ω-hydroxy palmitic acid from 20 mM (5.1 g/L) palmitic acid for 30 h.

A novel diffusive gradients in thin films (DGT) technique for sampling labile soil sulfate was developed, based on a strong basic anion exchange resin (Amberlite IRA-400) for sulfate immobilization on the binding gel. For reducing the sulfate background on the resin gels, photopolymerization was applied instead of ammonium persulfate-induced polymerization. Agarose cross-linked polyacrylamide (APA) hydrogels were used as diffusive layer. The sulfate diffusion coefficient in APA gel was determined as 9.83 × 10(-6) ± 0.35 × 10(-6) cm(2) s(-1) at 25 °C. The accumulated sulfate was eluted in 1 mol L(-1) HNO3 with a recovery of 90.9 ± 1.6 %. The developed method was tested against two standard extraction methods for soil sulfate measurement. The obtained low correlation coefficients indicate that DGT and conventional soil test methods assess differential soil sulfate pools, rendering DGT a potentially important tool for measuring labile soil sulfate., Competing Interests: The authors declare that they have no conflict of interest.

Salivary gland tumors are relatively infrequent and account for less than 2% of all human tumors. This study was conducted to see the prevalence of patterns of non neoplastic and neoplastic lesions of salivary glands in greater Mymensingh. It was a retrospective study carried out in the department of Pathology, Community Based Medical College Bangladesh from January 2010 to December 2012. Heamatoxylin and eosin stained sections were studied in all cases. Total 98 cases of salivary gland lesions were retrieved and evaluated. Out of them 55 cases were female and 43 were male. Mean age of the cases were 42 years. Among the salivary gland lesions non-neoplastic lesions 24.48% and neoplastic lesions 75.51%. Among neoplastic lesions benign tumor comprises 91.89% and malignant tumor comprises 8.10%.

An intervention study was carried out in the department of paediatrics of Mymensingh Medical College Hospital, Mymensingh to compare the clinical efficacy of Azithromycin in the treatment of childhood typhoid fever with that of cefixime for a period of one year from January 2011 to December 2011. A total of 60 cases of typhoid fever were enrolled in to a randomized clinical trial and was divided into two groups. The inclusion criteria of the cases were: Documented fever for more than 4 days plus two or more of the following clinical features: toxic physical appearance, intestinal complaints, coated tongue, ceacal gurgling, hepatomegaly and splenomegaly, diarrhoea and constipation plus positive Widal test and/or blood culture positivity. Patients who had complication like GIT heamorrhage; intestinal perforaion and/or shock were excluded from the study. Data were collected in a structured questionnaire. Azithromycin was given at a dose of 10mg/kg/day for a period of 07 days Cefixime was given at a dose of 20mg/kg/day in two divided dose for 14 days. The mean time of defervesence was 4.05+1.14 days with azithromycin and 3.41+0.95 with cefixime respectively. The minimum defervesence time was 02 days and maximum defervesence time was 07 days. Clinical cure rate was 87% in azithromycin group and 93% in cefixime group. No serious adverse effect was noted related to azithromycin and cefixime therapy except nausea, vomiting, diarrhoea and jaundice. It was found that azithromycin is almost as effective as cefixime in the treatment of typhoid fever.

The school age is a dynamic period of growth and development. During this period physical, mental, social development of child takes place. The purpose of the study is to observe the nutritional status among the school aged children and to compare the urban and rural children. It is a descriptive cross sectional study. Data were collected from 600 children of primary school in Mymensingh district for a period of one year from October 2009 to September 2010. Among the primary school children in Mymensingh, Bangladesh 15.1% were wasted, 22.1% were stunted, 2.3% were both stunted and wasted and 60.4% children were within normal limit. Malnutrition was more in rural area in comparison with urban area. In rural area severely underweight, moderately underweight children were 62.1%, 65.6%, and corresponding result in urban area were 37.9%, 34.4% respectively. In rural area severely stunted, moderately stunted children were 100%, 58.6%, and in urban area they were 0%, 41.4% respectively. Again severely wasted and moderately wasted, children were 62.5%, 59.5% in rural area and 37.5%, 40.5% in urban area respectively. Malnutrition among girls were more then the boys.

Smooth muscle tumors presenting as mediastinal soft tissue masses are rare and are often mistaken for other neoplasms. Benign tumors of the esophagus account for fewer than 1% of all esophageal tumors, the most common of which are leiomyomas. They are frequently located in the lower third of the esophagus. We report two cases of esophageal leiomyoma in the thoracic esophagus which were firstly presented as huge mediastinal mass with intermittent dysphagia and radiologically flecks of calcification.

Because of hypoxemia, different organ systems of the body are affected in perinatal asphyxia. In this study, the functional status of liver of the asphyxiated babies was assessed through estimation of liver enzymes to see any correlation existing between enzyme changes and severity of perinatal asphyxia. A total of 70 full-term asphyxiated newborns (study group) were studied during January'2008 to December'2008 in the department of Paediatrics, Mymensingh Medical College Hospital. After enrollment these babies were grouped according to Sarnat & Sarnat stages of Hypoxic-ischemic encephalopathy (HIE) as stage I, II & III. Babies who are small for gestational age, having severe jaundice, sepsis or congenital anomalies of the hepatobiliary system were excluded from the study. Another 50 healthy newborns were also studied as control group. Venous blood was analyzed between 2nd and 5th day of life to estimate serum AST, ALT & alkaline phosphatase (ALP). Unpaired student's 't' test and Spearman's rank correlation was used for data analysis and P value of <0.05 were considered significant. Mean AST, ALT and ALP of the asphyxiated babies were 76.27±37.44, 82.16±48.08 & 369.59±123.05 U/L and that of normal babies were 23.46±8.45, 26.54±7.76 & 208.20±46.95 U/L respectively and these rise were statistically significant (p<0.001). The levels of transaminases and ALP were positively correlated with the severity of asphyxia and these correlations were also statistically significant (p<0.001). So, this study concludes that AST, ALT & ALP significantly elevated in perinatal asphyxia and this elevation was proportional to the severity of hypoxia.

A randomized clinical trial was conducted to asses the effects of dexamethasone on brain oedema following acute ischemic stroke in the departments of Medicine of different hospitals from July, 2003 to December, 2006. A total of 60 patients were included in the study. They were divided into two groups keeping the similarity regarding the age, sex and severity of the stroke between two groups. There were 30 patients in experimental group and 30 in control group. The level of consciousness was compared by Glasgow Coma Scale (GCS) on 3rd, 7th and 10th day of intervention and improvement was found in both the groups, but the improvement of level of consciousness was statistically significant in Dexamethasone treated group. The volume of hypodense area did not differ significantly in two groups in CT scans before and after treatment (p=0.74). The study results demonstrate that Dexamethasone improves the level of consciousness in acute ischemic stroke associated with brain oedema but did not reduce volume of hypodense area.

Kala-azar is one of the major public health problem in Bangladesh. But the diagnosis of the problem often is difficult, unusual and time consuming, a simple, noninvasive, easy to perform, reliable and rapid diagnostic test has been a long-felt need of the clinicians. Therefore, the present study was conducted to see the sensitivity and specificity of Latex Agglutination test (KAtex) to detect leishmanial antigen from urine of kala-azar cases. The study was carried out in the department of Paediatrics, Mymensingh Medical College and Hospital, Bangladesh during July to December, 2008. A total of 100 urine samples were collected of which 50 were confirmed kala-azar cases and 50 were age and sex matched controls. Out of 50 kala-azar cases 47 showed positive result of KAtex. The test was also positive in 01 out of 30 healthy controls. None of the febrile controls was positive by KAtex. The sensitivity, specificity, positive predictive value and negative predictive value of the test using presence of LD bodies in splenic and/or bone marrow aspirate as gold standard were 94%, 98%, 97.91% and 94.23% respectively. KAtex is simple, noninvasive, easy to perform, rapid and reliable test for diagnosing kala-azar in endemic area and useful for small, less equipped laboratories as well as for the laboratories with better facilities.

A recently developed DOT enzyme immunoassay known as "Typhidot" for detecting IgM antibody against 50 KDa OMP antigen of Salmonella typhi, was evaluated on 100 clinically suspected typhoid fever cases and 40 age-sex matched controls, in the Department of Microbiology, Mymensingh Medical College during, the period from June 2006 to July 2007. Blood culture, Widal test, and DOT EIA for IgM test were performed in all patients. Among 100 clinically suspected typhoid fever cases, 35 were subsequently confirmed on the basis of positive blood culture for S. typhi and/or significant rising titre of Widal test. The DOT EIA IgM test could produce results within 1 hour. The result of the DOT EIA IgM test showed a good diagnostic value for typhoid fever. The sensitivity, specificity, positive and negative predictive value of the test was found as 91.42%, 90.00%, 88.88% and 92.30% respectively. On the other hand corresponding values for Widal test were of 42.85%, 85.00%, 71.42% and 62.96% respectively. Thus, The DOT EIA IgM seems to be a practical alternative to Widal test for early diagnosis of typhoid fever.

The purpose of this study was to express, characterize, and investigate the self-assembly of a recombinant porcine amelogenin lacking the hydrophilic 24 C-terminal amino acids (rP148). To gain further insight into the function of amelogenin processing during enamel mineralization, this protein was also used as a substrate to examine the action of matrix metalloproteinase-20 (MMP-20). The assembly properties of rP148 were monitored by dynamic light scattering (DLS). In general, rP148 molecules assemble into monomers, dimers, oligomers, and some nanosphere-like particles. Depending on the solution conditions, large aggregates were also observed. Matrix metalloproteinase-20 cleaved the rP148 molecule at a few sites, creating a number of different products, including the tyrosine-rich amelogenin polypeptide (TRAP). Our data suggest that although rP148 self-assembles into small particles, its assembly properties are different from those of the full-length rP172, indicating that the C-terminal 24 amino acids play a critical role in nanosphere assembly. We further demonstrate that MMP-20 digests rP148 in a manner that generates a similar proteolytic pattern, as would be expected to occur in vivo.

To reveal structure-function relationships of family F/10 glycanases, an in vitro molecular level shuffling experiment was conducted to accumulate useful amino acid residues from two homologous F/10 xylanases, FXYN of Streptomyces olivaceoviridis E-86 and XylA of Thermomonospora alba ULJB1, into a single chimeric xylanase. The parent genes were shuffled by crossovers at selected module borders using self-priming Polymerase Chain Reaction (PCR)s. The shuffled constructs, designated as FXYN-M3/4-XylA, FXYN-M9/10-XylA, and FXYN-M14/15-XylA were cloned and their nucleotide sequences were confirmed. Two chimera, FXYN-M3/4-XylA and FXYN-M14/15-XylA, demonstrated activity against RBB-xylan and were over-expressed as His-tag fusion proteins under control of T5 promoter of pQE60. The homogeneously pure chimeric proteins, FXYN-M3/4-XylA and FXYN-M14/15-XylA showed improved thermal and pH profiles compared to those of one of the parents, FXYN. This was apparently due to the influence of amino acids inherited from thermophilic XylA. Measured K(m) and kcat values were closer to those of the other parent, XylA. Interestingly, a significant level of heat tolerance up to 60 degrees C, was recorded for FXYN-M3/4-XylA in comparison to only 40 degrees C for FXYN-M14/15-XylA though their temperature optima did not correlates with their thermal stability. These results indicated that the amino acid residues of the larger T. alba XylA DNA fragment present in FXYN-M3/4-XylA were responsible for inducing its thermal stability.

Thermotoga maritima MSB8 possesses two xylanase genes, xynA and xynB. The xynB gene was isolated from the genomic DNA of T. maritima, cloned, and expressed in Escherichia coli. XynB was purified to homogeneity by heat treatment, affinity chromatography and ion-exchange column chromatography. The purified enzyme produced a single band upon SDS-PAGE corresponding to a molecular mass of 42 kDa. At 70 degrees C, the enzyme was stable between pH 5.0 and pH 11.4, and it was stable at temperatures of up to 100 degrees C from pH 7.0 to pH 8.5. At 50 degrees C, XynB displayed an optimum pH of 6.14 and at this pH the temperature for optimal enzyme activity was 90 degrees C. XynB exhibited broad substrate specificity and was highly active towards p-nitrophenyl-beta-D-xylobioside with K(m) and k(cat) values of 0.0077 mM and 5.5 s(-1), respectively, at 30 degrees C. It was also active towards p-nitrophenyl-beta-D-xyloside. The initial product of the cleavage of p-nitrophenyl-beta-D-xyloside was xylobiose, indicating that the major reaction in the cleavage was transglycosylation, not hydrolysis.

The Clostridium thermocellum F1 celJ gene, encoding endoglucanase J (CelJ), consists of an open reading frame (ORF) of 4,803 nucleotides and encodes a protein of 1,601 amino acids with a molecular weight of 178,055. The ORF was confirmed as celJ by comparison with the N-terminal sequence of a truncated CelJ derivative. CelJ is a modular enzyme composed of N-terminal signal peptide and six domains in the following order: an S-layer homology domain, a domain of unknown function (UD-1), a subfamily E1 endoglucanase domain, a family J endoglucanase domain, a docking domain, and another domain of unknown function (UD-2). UD-1 has no significant similarity to UD-2. CelJ hydrolyzed carboxymethylcellulose and xylan, and xylanase activity was ascribed to the family J domain. Antiserum raised against the truncated CelJ cross-reacted with proteins contained in the cellulosome of C. thermocellum F1. These results strongly suggest that CelJ is equivalent to S2, which was identified as the largest catalytic component in the cellulosome of C. thermocellum YS. A second but incomplete ORF encoding an enzyme classified in subfamily E2 endoglucanase, was located downstream of celJ.