Rationale: Osteoma is a benign osteogenic lesion with a slow growth, characterized by the proliferation of either cancellous or compact bone. Peripheral osteoma which is known to arise from the periosteum is a rare entity in the mandible. This case report emphasizes on the extraoral approach used for surgical excision of peripheral osteoma of the mandible. Patient Concerns: This article presents three cases of peripheral osteoma in females who presented with extraoral swelling near the inferior border of the mandible. The swelling was noticed incidentally and had mild or no pain. Diagnosis: Diagnosis was made after correlating clinical and radiographical findings and confirmed by histopathology. Treatment: Extraoral submandibular incision was used for the excision of peripheral osteoma in all the cases. Outcomes: Patients were followed up for 3 months without any signs of recurrence. Take-away Lessons: Every case is unique, and it is wise to take uncommon surgical approach keeping in view the patient's benefit at large.
is paper presents AppTechMiner, a rule-based information extraction framework that automatically constructs a knowledge base of all application areas and problem solving techniques. Techniques include tools, methods, datasets or evaluation metrics. We also categorize individual research articles based on their application areas and the techniques proposed/improved in the article. Our system achieves high average precision (∼82%) and recall (∼84%) in knowledge base creation. It also performs well in application and technique assignment to an individual article (average accuracy ∼66%). In the end, we further present two use cases presenting a trivial information retrieval system and an extensive temporal analysis of the usage of techniques and application areas. At present, we demonstrate the framework for the domain of computational linguistics but this can be easily generalized to any other eld of research. CCS CONCEPTS•Information systems →Data mining;
This review paper examines the impact of the Internet of Things (IoT) in cybercrime. With the rise of IoT devices, cyber-attacks have also increased immensely, leading to new security challenges. IoT devices frequently lack the security of traditional computers, leaving them open to hacking and other forms of online assaults. Attackers can use IoT devices as a way to gain access to networks or other devices, steal data, or launch attacks. This paper gives a broad review of the security issues IoT devices pose and how cybercriminals take advantage of them. It also discusses the measures that can be taken to secure IoT devices and protect against cyber-attacks. The discussion of potential future study topics for examining how IoT is affecting cybercrime finishes the paper. Overall, this review paper highlights the importance of understanding the risks associated with IoT devices and implementing appropriate security measures to mitigate them.
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