Search

Background: Thyroid cancer is the most common endocrine malignancy. Moreover, within thyroid cancer, differentiated thyroid carcinoma (DTC) is the most common variety, with the incidence rising over the past decade. Often, most of the cases present with multicentric disease and presenting with lymph node metastases at the time of diagnosis. Nodal metastasis has prognostic importance, and it may guide surgeons regarding further management. Considering this scientific fact, the study was performed to see the frequency of lymph node metastasis in DTC among the patients admitted to a tertiary care hospital. Methods: This cross-sectional study was conducted in the department of otolaryngology and head-neck surgery, Sher-E-Bangla Medical College Hospital, for 9 months after the acceptance of the protocol. A total of 50 patients (in all age groups) who attended the relevant department due to thyroid malignancies were approached and interviewed. Thorough history taking, physical examination, and relevant investigation were done and recorded into separate case record forms. Informed written consent was taken from each subject. Following collection, data were coded and inputted into statistical software. Data analysis was done with SPSS 21 according to the objective of the study. Data were presented in the form of tables, and charts. Results: Among the 50 patients, the mean age of the patients was 47.86±15.69 SD (years) with minimum and maximum ages of 14 and 78 years respectively. The male-female ratio was 1:4 (20% male vs 80% female). Papillary carcinoma was the most frequent (88%) followed by follicular (10%). Nodal metastasis was most common in the papillary variety, about 54.55% of cases, whereas 20% were present in the follicular variety. The majority of the patients underwent total thyroidectomy with neck dissection (90%) and the remaining cases were managed by lobectomy (10%). Conclusions: This study concluded that nodal metastasis was present in 54.55% of cases of papillary carcinoma.

Background: Deep neck abscess is a common clinical entity in developing countries like ours. Despite the widespread use of antibiotics, deep neck infections do not disappear and remain one of the most difficult emergencies encountered in daily clinical practice. The extent and severity of the illness could become life-threatening. Therefore, coping with deep neck abscess remain a challenge to otolaryngologists. This study aimed to analyze the bacteriological pattern and antimicrobial susceptibility in deep neck space abscesses. Material Methods: It was a cross-sectional observational study. 50 patients with deep neck space abscesses fulfilling the inclusion and exclusion criteria admitted to the department of ENT Head Neck Surgery, Rangpur Medical College Hospital, Rangpur, from 1st July 2017 to 30th December 2017 were enrolled in this study. Pus from deep neck space abscess was collected by either aspiration or incision and drainage with proper aseptic measure and sent by sterile test tube to microbiology department immediately. Data were collected by detailed history taking and clinical examination investigations with informed written consent and analyzed by SPSS (version 20). Results: In this study most commonly involved deep neck spaces were Submandibular (38%), Peritonsillar (32%), Retropharyngeal (14%), and parapharyngeal (8%) spaces. Streptococcus viridans was the most prominent organism 14 (28%) followed by Klebsiella pneumonia 9(18%) and Staph. aureus 4 (8%). The most effective antibiotic was Ceftriaxone 34(79%) followed by Cefuroxime 30 (70%) and Erythromycin 23(54%). Aerobic organisms were highly sensitive to Cefuroxime (83%) and Ceftriaxone (83%) followed by Erythromycin (48%). Anaerobic organisms were sensitive to Clindamycin (100%), Metronidazole (100%), and Erythromycin (100%) followed by Ceftriaxone (75%). Conclusion: The most frequently isolated organism in deep neck space abscesses were Streptococcus viridans and Staphylococcus aureus and sensitivity results showed the majority of isolates are susceptible to Ceftriaxone and Cefuroxime.

Understanding the elements that influence buyers' purchase intentions is critical for real estate companies. The goal of this study is to develop a model for investigating behavioural intentions to purchase apartments in Bangladesh. To obtain the preliminary elements, the Theory of Planned Behaviour (TPB) was used as the underpinning theoretical framework. Other elements relevant to the study context were identified by an extensive literature review, which was subsequently evaluated by industry experts. A systematic questionnaire was used to collect two hundred and thirty-six samples. To find the relevant factors, an exploratory factor analysis (EFA) was used. In addition to the criteria mentioned by the TPB, the results reveal three additional aspects: perceived physical quality, access to money, and favourable government policy. The study contributes to the literature by presenting an extended TPB model suitable for studying behavioural intention to buy apartments in an emerging country.

Cryptography is the study that provides security service. It concerns with confidentiality, integrity, and authentication. Public key cryptography provides an enormous revolution in the field of the cryptosystem. It uses two different keys where keys are related in such a way that, the public key can use to encrypt the message and private key can be used to decrypt the message. This paper proposed an enhanced and modified approach of RSA cryptosystem based on “n” distinct prime number. This existence of “n” prime number increases the difficulty of the factoring of the variable “N” which increases the complexity of the algorithm. In this approach, two different public key and private key generated from the large factor of the variable “N” and perform a double encryption-decryption operation which affords more security. Experiment on a set of a random number provided that the key generation time, analysis of variable “N”, encryption and decryption will take a long time compared to traditional RSA. Thus, this approach is more efficient, highly secured and not easily breakable.

Smart grid is an advanced and intelligent form of conventional power grid with high fidelity power-flow control, self-healing, and energy reliability using advance computer and communication technologies. The idea of integrating power systems with complex computer communication has introduced serious cyber security concerns as it requires significant dependence on secured communication infrastructures. Because of the wide nature of smart grid, it is very risky to compromise any component of the grid which may lead to serious damage to the electrical infrastructure, energy theft and unnecessary expenditure. Studying various smart grid security architectures, efficient bio-inspired complete security architecture for smart grid is proposed in this work which can be easily implemented in the smart grid without changing any element of its infrastructure. Bio-inspired cyber security architecture for smart grid is developed with discussion on the core elements of the architecture. The threat detection is tested with simulation using popular KDDDump dataset and real time gas pipe line SCADA data.