Next Generation Middleware Technology for Mobile Computing

Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism. Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance. Traditional middleware systems are not prepared to offer proper support for addressing the dynamic aspects of mobile systems. Modern distributed applications need a middleware that is capable of adapting to environment changes and that supports the required level of quality of service. This paper represents the experience of several research projects related to next generation middleware systems. We first indicate the major challenges in mobile computing systems and try to identify the main requirements for mobile middleware systems. The different categories of mobile middleware technologies are reviewed and their strength and weakness are analyzed

Benign cystic teratoma of fallopian tube with shadow cell differentiation – a rare diagnostic entity with review of literature

A 26 year old gravida 2 para 1 presented to obstetrics department at full term with an unremarkable USG. LSCS was performed for CPD. A fimbrial cyst was discovered intra operatively and excised and sent to us for histopathological examination which showed derivatives of all 3 germ cell layers with presence of shadow cells surrounded by basaloid cells and giant cell reaction. Objective was to report a case of mature cystic teratoma of Fallopian tube with shadow cell differentiation

Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study

Cyber attacks are increasing rapidly due to advanced digital technologies used by hackers. In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly growing field. Although machine learning techniques worked well in solving large-scale cybersecurity problems, an emerging concept of deep learning (DL) that caught on during this period caused information security specialists to improvise the result. The deep learning techniques analyzed in this study are convolution neural networks, recurrent neural networks, and deep neural networks in the context of cybersecurity.A framework is proposed, and a realtime laboratory setup is performed to capture network packets and examine this captured data using various DL techniques. A comparable interpretation is presented under the DL techniques with essential parameters, particularly accuracy, false alarm rate, precision, and detection rate. The DL techniques experimental output projects improvise the performance of various realtime cybersecurity applications on a real-time dataset. CNN model provides the highest accuracy of 98.64% with a precision of 98% with binary class. The RNN model offers the secondhighest accuracy of 97.75%. CNN model provides the highest accuracy of 98.42 with multiclass class. The study shows that DL techniques can be effectively used in cybersecurity applications. Future research areas are being elaborated, including the potential research topics to improve several DL methodologies for cybersecurity applications.publishedVersio

Annular elastolytic giant cell granuloma of conjunctiva: A case report

Annular elastolytic giant cell granuloma is a condition characterized histologically by damaged elastic fibers associated with preponderance of giant cells along with absence of necrobiosis, lipid, mucin, and pallisading granuloma. It usually occurs on sun-damaged skin and hence the previous name actinic granuloma. A similar process occurs on the conjunctiva. Over the past three decades only four cases of conjunctival actinic granuloma have been documented. All the previous patients were females with lesions in nasal or temporal bulbar conjunctiva varying 2-3 mm in size. We report a male patient aged 70 years presenting with a 14 mm × 7 mm fleshy mass on right lower bulbar conjunctiva. Clinical differential diagnoses were lymphoma, squamous cell carcinoma in situ and amyloidosis. Surgical excision followed by histopathology confirmed it to be a case of actinic granuloma. This is the first case of isolated conjunctival actinic granuloma of such a large size reported from India

Histopathological Profile of Central Nervous System Tumors in a Peripheral Tertiary Care Centre of West Bengal

Introduction Central nervous system (CNS) tumor incidence is very low in comparison to other organ neoplasm. Recent increase in the incidence may be due to exposure of the population to various risk factors, genetic mutation, or improved diagnosis with advancement in diagnostic modalities. This study aims to observe the histopathological spectrum of CNS tumors with their clinical profile and basic demography at a single center in a peripheral region in West Bengal. Material and Methods A retrospective study was conducted in the department of pathology, Gouridevi Institute of Medical Sciences and Hospital (GIMSH), Durgapur, West Bengal, over a period of 2 years from October 2018 to September 2020 on CNS tumors. Basic demographic data, tumor site, and histopathological profile were obtained from medical records and further analyzed and graded according to the World Health Organization (WHO) classification. Result Among 42 cases of CNS tumors, 29 cases were from different regions of the brain and 13 cases were from the spinal cord, with a male to female ratio (1.21:1); the commonest age group was the sixth decade and most common tumor was meningioma, followed by astrocytic tumors. Conclusion The present study helps provide information regarding the burden of disease in our area. Despite the use of modern imaging techniques that help in the provisional diagnosis of disease, histological examination is the gold standard in diagnosis of varied types

Pitfalls in the cytodiagnosis of metastatic squamous cell carcinoma in the head and neck: A retrospective study

Background: Lateral neck swelling in an adult is a common presentation for primary and secondary malignant lesions. Metastasis from squamous cell carcinoma often leads to various secondary changes in the lymph nodes, which makes their diagnosis on cytology a difficult task. Sometimes, the primary sites remain occult and any false negative cytological diagnosis becomes a misleading factor. Aim: Our aim was to evaluate the efficacy of fine needle aspiration cytology (FNAC) in diagnosing metastasic squamous cell carcinoma in the head and neck, and to highlight the precautions that can reduce the rate of false negative diagnosis. Materials and Methods: Two thousand five hundred and twelve patients in an age range of 18 to 80 years and presenting with a solitary lateral swelling of the neck were selected for this study. Results: Three hundred and seventy positive and 45 suspicious cases of metastatic squamous cell carcinoma were detected by FNAC; there were 15 false negative cases. All of them were associated with cystic change, abscess, or necrosis. The primary sites for carcinoma were the tonsil, tongue, pharynx, and larynx. No primary site could be detected in three cases. Histopathological confirmation was done in all the cases. The specificity and sensitivity of FNAC in the detection of positive cases of metastatic squamous cell carcinoma were 96.05 and 96.5% respectively. Conclusions: Any lateral neck swelling in adult patients that is associated with cystic change, abscess, or necrosis on FNAC should be carefully searched for malignant cells. Clinical re-evaluation and image guided surgical biopsy should supplement FNAC in suspicious cases. In spite of the possible limitation of a false negative diagnosis, FNAC remains a useful tool in diagnosing metastasis with good certainty