A clinical challenging situation of Intra oral fibroma mimicking pyogenic granuloma

A 45 year old female presented to the Department of Dentistry and Faciomaxillary Surgery complaining of difficulty in swallowing and tongue movements. General health examination revealed that the patient was conscious, oriented, a febrile and vitals were stable. Occlusion stable. Mouth opening was of three finger breadth. Lateral temporomandibular joint movements were satisfactory. On intra oral clinical examination, a pedunculated mass was observed palatally in relation to left maxillary molar teeth region, where a root stump was evident. Patient stated that the swelling has started as a pinpoint lesion before 1 year and progressed to the size of 5cm x 3cm as seen during clinical examination. The colour of the mass was of coral pink, smooth, nodular in some areas and symptomatic during contact between maxillary and mandibular teeth. Radiological investigations such as orthopantomograph and maxillary occlusal views revealed absence of bony involvement. To differentiate the clinical mimicking situation of intra oral fibroma and pyogenic granuloma, surgical excision was done followed by histopathological examination reporting as intra oral fibroma. Fibroma is of smooth surfaced painless solid mass, occasionally nodular, with collagen and connective tissue histopathologically. Whereas, pyogenic granuloma present as painless and smooth mass which bleeds on palpation clinically with histopathological picture of chronic inflammatory infiltrate, endothelial cell proliferation and hyperplastic granulation tissue. Postoperative review was after 1 month with good prognosis thereby facilitating efficient swallowing and tongue movements.Pan African Medical Journal 2015; 2

A Review of the Literature on IOT and Artificial Intelligence on Rural Fishing Techniques and Chinese Fishing Nets

Internet of Things (IOT) and artificial intelligence provide promising opportunities to modernize fishing techniques and instruments. However, there is very less research conducted on exploring IOT specifically in the fishing industry to benefit the poor fishermen in rural areas.  Hence, this research proposal explores the opportunities of modernizing the fishing techniques and instruments and improve the efficiency and in-turn profitability of fishermen

Free vibration of composite laminated rectangular plates under shear deformation theory

In this study, free vibration of anti-symmetric angle-ply, and cross-ply laminated rectangular plates under first order shear deformation theory using clamped boundary condition is analysed. Two different numerical methods called Splines approximation and Radial Basis Functions (RBFs) are considered to approximate the functions. The fundamental frequency for anti-symmetric angle-ply plates are analysed with respect to aspect ratio, length-to-thickness ratio, ply angles and number of layers with different type of material arrangements. The problem of free vibration of cross-ply laminated plates are analysed for frequency parameter with respect to length-to-thickness ratio, aspect ratio, and number of layer with different disposition of materials. For both of the problems, the equations of motion derived using Yang Nooris and Stavsky (YNS) theory and the solution is assumed in separable form to obtain a coupled differential equations in term of displacement and rotational functions. These functions are approximated using cubic Spline function for the first case and the differential equations are then approximated using RBF for the second case. Preliminary studies on anti-symmetric angle-ply laminated plates with higher order shear deformation theory under simply supported boundary condition are studied using Spline method. The free vibration of anti-symmetric angle-ply laminated plates are analysed, under third order shear deformation theory using spline approximation. The equations of motions are derived using Reddy theory with third order shear deformation theory and the solution is assumed in separable form to obtain a coupled differential equations. The displacement and rotational functions are approximated using cubic and quantic Splines. These procedures produce a set of ordinary differential equation, along with boundary condition equations and become a generalized eigenvalue problem. The resulting eigenvalue problem is solved for the frequency parameter. The frequency parameter was analysed with respect to aspect ratio, length-to-thickness ratio, ply angles and number of layers with different type of material arrangements. The aim of this research is to provide the free vibration of layered plates for anti-symmetric angleply and cross-ply laminated plate with first order shear deformation theory with clamped boundary condition and identifies the difference between two different methods applied

A Computational Approach to Compare Information Revelation Policies

Revelation policies in an electronic marketplace differ in terms of the level of competitive information disseminated to participating sellers. Since sellers who repeatedly compete against one another learn based on the information revealed and alter their future bidding behavior, revelation policies affect welfare parameters—consumer surplus, producer surplus, and social welfare—of the market. Although different revelation policies are adopted in several traditional and Web-based marketplaces, prior work has not studied the implications of these policies on the performance of a market. In this paper, we study and compare a set of revelation policies using a computational marketplace. Specifically, we study this in the context of a reverse-market where each seller’s decision problem of choosing an optimal bid is modeled as an MDP (Markov decision process). Results and analysis presented in this paper are based on market sessions executed using the computational marketplace. The computational model, which employs a machine-learning technique proposed in this paper, ties the simulation results to the model developed using the game-theoretic models. In addition to this, the computational model allows us to relax assumptions of the game-theoretic models and study the problem under a more realistic scenario. Insights gained from this paper will be useful in guiding the buyer in choosing the appropriate policy

School inputs, household substitution, and test scores

Empirical studies of the relationship between school inputs and test scores typically do not account for the fact that households will respond to changes in school inputs. This paper presents a dynamic household optimization model relating test scores to school and household inputs, and tests its predictions in two very different low-income country settings -- Zambia and India. The authors measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding. Consistent with the optimization model, they find in both settings that households offset anticipated grants more than unanticipated grants. They also find that unanticipated school grants lead to significant improvements in student test scores but anticipated grants have no impact on test scores. The results suggest that naïve estimates of public education spending on learning outcomes that do not account for optimal household responses are likely to be considerably biased if used to estimate parameters of an education production function.Tertiary Education,Education For All,Access to Finance,Teaching and Learning,Disability

Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification

An innovative two-stage methodology for categorizing blood clot origins is presented in this paper, which is important for the diagnosis and treatment of ischemic stroke. First, a background classifier based on MobileNetV3 segments big whole-slide digital pathology images into numerous tiles to detect the presence of cellular material. After that, different pre-trained image classification algorithms are fine-tuned to determine the origin of blood clots. Due to complex blood flow dynamics and limitations in conventional imaging methods such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound, identifying the sources of blood clots is a challenging task. Although these techniques are useful for identifying blood clots, they are not very good at determining how they originated. To address these challenges, our method makes use of robust computer vision models that have been refined using information from whole-slide digital pathology images. Out of all the models tested, the PoolFormer \cite{yu2022metaformer} performs better than the others, with 93.4\% accuracy, 93.4\% precision, 93.4\% recall, and 93.4\% F1-score. Moreover, it achieves the good weighted multi-class logarithmic loss (WMCLL) of 0.4361, which emphasizes how effective it is in this particular application. These encouraging findings suggest that our approach can successfully identify the origin of blood clots in a variety of vascular locations, potentially advancing ischemic stroke diagnosis and treatment approaches

Insights into Oropharyngeal Microbiota, Biofilms and Associated Diseases from Metagenomics and Transcriptomic Approaches

Oral cavity is an ecologically complex environment and hosts a diverse microbial community. Most of these organisms are commensals, however, on occasion, some have the potential to become pathogenic causing damage to the human host. Complex interactions between pathogenic bacteria, the microbiota, and the host can modify pathogen physiology and behavior. Most bacteria in the environment do not exist in free-living state but are found as complex matrix enclosed aggregates known as biofilms. There has been research interest in microbial biofilms because of their importance in industrial and biomedical settings. Bacteria respond to environmental cues to fine-tune the transition from planktonic growth to biofilm by directing gene expression changes favorable for sessile community establishment. Meta-approaches have been used to identify complex microbial associations within human oral cavity leading to important insights. Comparative gene expression analysis using deep sequencing of RNA and metagenomics studies done under varying conditions have been successfully used in understanding and identifying possible triggers of pathogenicity and biofilm formation in oral commensals

NOVASOME: A PIONEERING ADVANCEMENTIN VESICULAR DRUG DELIVERY

Pharmaceutical research has developed various new types of innovative forms of drug delivery. Advancement in current drug delivery methods has led to the development of numerous new revolutionary technologies that support safe and efficient formulations over existing ones. Novasome technology is one of the latest liposome developments that have overcome many of the liposomal drug delivery system-related problems. This provides a seven bilayer membrane which is capable of absorbing water-soluble as well as insoluble drugs. The improved efficiency of entrapping drugs with good encapsulation features enables better frequency of dosing, which can be accomplished through the high shear system. These find their applications in diverse fields such as cosmetics, chemicals, personal care, food, pharmacy, and agrochemicals. Several products have already been launched into the market using this technology with an additional launch plan. Due to its depth of penetration, novasomes have been one of the most popular derma cosmetics. It is being studied continuously to obtain improved release characteristics. The prospect of drug delivery and targeting using novasomes is an important area of research and development. This review pinpoints the various aspect of the novasome and will be a milestone for the researchers in the area of drug delivery

School Inputs, Household Substitution, and Test Scores

Empirical studies of the relationship between school inputs and test scores typically do not account for the fact that households will respond to changes in school inputs. We present a dynamic household optimization model relating test scores to school and household inputs, and test its predictions in two very different low-income country settings – Zambia and India. We measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding. Consistent with the optimization model, we find in both settings that households offset anticipated grants more than unanticipated grants. We also find that unanticipated school grants lead to significant improvements in student test scores but anticipated grants have no impact on test scores. Our results suggest that naïve estimates of public education spending on learning outcomes that do not account for optimal household responses are likely to be considerably biased if used to estimate parameters of an education production function.

Experimental investigation on split type window Air conditioner using HFC and HC mixture as ecofriendly refrigerant alternate to HCFC-22

This paper reports on an experimental study evaluating a window air conditioner's performance when R152a/R290/R600/R600a refrigerant mixture (by various mass percentages) is used as a possible alternative to R-22. Alternative refrigerants are local, cheap, and environmentally friendly. Unmodified R-22 window AC was charged with R152a/R290/R600/R600a. During the experiment, parameters such as coefficient of performance, refrigeration effect, pressure ratio, compressor discharge temperature, refrigerant mass flow rate, and compressor power are analyzed. The present work shows that R152a-15%/R290-15%/R600-35%/R600a-35% is the best-performing alternative refrigerant. Proposed blends and R22's performance were compared