Synchronous testicular liposarcoma and prostate adenocarcinoma: a case report

Prostate adenocarcinoma is the most common malignancy and the second leading cause of cancer related deaths in men. Testicular liposarcomas are uncommon soft tissue neoplasms. We report coexistence of prostate cancer and testicular liposarcoma in a 69 year-old-man because while orchiectomy endications are decreasing day by day, these second malignancies should not be missed

Evaluation and Management of Antrochoanal Polyps

Antrochoanal polyps (ACPs) are benign polypoid lesions arising from the maxillary antrum and they extend into the choana. They occur more commonly in children and young adults, and they are almost always unilateral. The etiopathogenesis of ACPs is not clear. Nasal obstruction and nasal drainage are the most common presenting symptoms. The differential diagnosis should include the causes of unilateral nasal obstruction. Nasal endoscopy and computed tomography scans are the main diagnostic techniques, and the treatment of ACPs is always surgical. Functional endoscopic sinus surgery (FESS) and powered instrumentation during FESS for complete removal of ACPs are extremely safe and effective procedures. Physicians should focus on detecting the exact origin and extent of the polyp to prevent recurrence

Mining microbial metatranscriptomes for expression of antibiotic resistance genes under natural conditions

Antibiotic resistance genes are found in a broad range of ecological niches associated with complex microbiota. Here we investigated if resistance genes are not only present, but also transcribed under natural conditions. Furthermore, we examined the potential for antibiotic production by assessing the expression of associated secondary metabolite biosynthesis gene clusters. Metatranscriptome datasets from intestinal microbiota of four human adults, one human infant, 15 mice and six pigs, of which only the latter have received antibiotics prior to the study, as well as from sea bacterioplankton, a marine sponge, forest soil and sub-seafloor sediment, were investigated. We found that resistance genes are expressed in all studied ecological niches, albeit with niche-specific differences in relative expression levels and diversity of transcripts. For example, in mice and human infant microbiota predominantly tetracycline resistance genes were expressed while in human adult microbiota the spectrum of expressed genes was more diverse, and also included beta-lactam, aminoglycoside and macrolide resistance genes. Resistance gene expression could result from the presence of natural antibiotics in the environment, although we could not link it to expression of corresponding secondary metabolites biosynthesis clusters. Alternatively, resistance gene expression could be constitutive, or these genes serve alternative roles besides antibiotic resistance.Peer reviewe

Conceptual Model of Building Information Modeling Usage for Knowledge Management in Construction Projects

Knowledge management (KM) draws on a vital role in highly participatory and diversified working environment of construction projects. Knowledge keeps construction firms competitive and boosts performance high in future work. However, large and chaotic projects require KM achieved with technological support thorough the project life cycle. Building information modelling (BIM) has a wide range of interaction between researchers and practitioners as a new and promising area of technological research and implementation in construction. In the last decade, many researchers worked on the use of BIM in the construction industry. Collaborative interaction is one of the most important promises of BIM. Collaboration between construction professionals can be improved by firmly managed project knowledge. With BIM solutions, it can be easier to externalize, integrate, internalize and socialize knowledge. Operational knowledge and strategic knowledge can be managed through interactive BIM models. This study aims suggesting a conceptual model representing KM process through BIM. A comprehensive literature review on KM and BIM was established to construct the theoretical framework for the assignment of a conceptual model for BIM usage in KM process of construction projects. The proposed conceptual model is a road map for adapting KM process with BIM as a new KM tool. The ability of BIM to manage knowledge is determined. KM process is identified for construction projects. Existing process is reviewed and modified for the BIM usage. In future studies, empirical research will be conducted to strengthen the validation of the proposed model

Generative AI Research Fields in the AEC-FM Industry

This research paper presents a comprehensive scientometric analysis and mapping of the existing literature on Generative AI research fields in the Architecture, Engineering, Construction and Facility Management (AEC-FM) industry. It begins with an overview of Generative AI, emphasizing its ability and then discusses the future potentials of Generative AI applications in the industry. The study employs a tool which uses natural language processing and text mining techniques to analyse the bibliometric data. Through co-occurrence analysis, the research delineates the intellectual structure and evolution of Generative AI use in construction industry. The key fields that have shaped the research area are highlighted as predictive risk management, LLM integration, automated processes, optimized design, and learning systems integration. Furthermore, the study reveals challenges, opportunities, and future prospects according to current research pattern, Finally, it discusses the future potential of Generative AI to significantly transform the AEC-FM industry

Maturity of Digital Twins from an Artificial Intelligence Perspective

Due to its potential to elevate buildings as a system to a level where they turn into cognitive (self-reliant autonomous decision-making and acting) entities, the adoption of Digital Twins (DT) has been significantly increased. Therefore, maturity models have become essential for evaluating and enhancing the advancement in DT to assess the adoption of technology across various industries. The paper proposes a maturity model approach from an Artificial Intelligence (AI) perspective to gain insights into the adoption and implementation of DT in the AEC-FM industry, which distinguishes it from the existing maturity models. Additionally, making a comparison between the interpretation of the term 'cognition' in computer science and its understanding within the AEC-FM industry, presenting pre-classified levels of cognition in literature. In this regard, a literature review is conducted to figure-out the gaps in previous DT maturity model studies. The proposed perspective could cover the missing AI perspective in designing maturity models and provide insights into leveraging the semantics of the term ‘cognitive’ in the AEC-FM industry. Future research directions could further explore various dimensions of DT maturity models and cognition levels within the AEC-FM industry, considering practical challenges and potential applications of DT implementations in-depth

Continuous optimization approaches for clustering via minimum sum of squares

In this paper, we survey the usage of semidefinite programming (SDP), and nonsmooth optimization approaches for solving the minimum sum of squares problem which is of fundamental importance in clustering. We point out that the main clustering idea of support vector clustering (SVC) method could be interpreted as a minimum sum of squares problem and explain the derivation of semidefinite programming and a nonsmooth optimization formulation for the minimum sum of squares problem. We compare the numerical results produced by the semidefinite formulation of minimum sum of squares with the results obtained from approaching it via nonsmooth optimization on two datasets