Gene Expression Profiling and Outcome Prediction in Non-Hodgkin Lymphoma

AbstractGene expression profiling with microarrays has provided new insights into the molecular biology of tumors can that underlie differences in responses to therapy and patient outcomes. In diffuse large B-cell lymphoma, gene expression profiling has revealed at least 2 diseases that are strikingly different in their response to chemotherapy and the inhibition of critical oncogenic pathways. In follicular lymphoma, gene expression profiling showed that the host immune response to tumors is an important determinant of outcome and can strongly predict survival at the time of diagnosis. The application of immunologic therapies that modify the host immune response could have a major effect on survival in patients with follicular lymphoma. Thus, the application of gene expression profiling in non-Hodgkin lymphoma provides important prognostic information at the time of diagnosis and can be translated into therapeutic options that improve patient outcomes

Evaluating the Efficacy and Security of Steganography Techniques in Cloud Computing

Cloud computing has revolutionized the handling, access, and storage of data. However, ensuring the security and privacy of data within cloud environments remains a significant challenge. This research offers a comprehensive examination aimed at developing a dependable steganographic technique, evaluating its effectiveness, determining its impact on cloud computing performance, and exploring potential vulnerabilities along with solutions. The primary objective is to assess how steganography influences the performance of cloud computing systems. Through performance evaluations and benchmarks, the study investigates the effects of steganography on system performance. It utilizes various file formats and sizes to simulate real-world conditions. The research also identifies potential weaknesses of the proposed steganographic method and explores strategies to mitigate these vulnerabilities. An analysis of security vulnerabilities, including potential attacks and detection techniques, leads to the formulation of effective countermeasures. The findings of this research contribute to the advancement of steganography-based data security in cloud environments. By highlighting the strengths, weaknesses, and areas for improvement of the proposed steganographic approach, the study offers insights into its impact on cloud computing systems and supports the development of robust security measures

Detection of Retinal Disease Using Image Processing

India is one of the countries which is emerging in the field of telemedicine in recent years. We are still far away from our desired goal. To add to that the patients with eye diseases are also increasing rapidly. To provide them with a better treatment at a lower price is the main goal. The people in urban areas still manage an eye checkup but for the people in rural areas it becomes difficult. Mobile phones are reaching to every nook and corner of the country with the help of that telemedicine becomes possible. We want to come up with a solution in which this becomes possible. It is applied on image processing and machine learning. Image processing is having significance for disease detection on medical images. With help of image processing and machine learning techniques it is possible to automate and/or assist physicians in clinical diagnosis. This project synopsis describes the application of various image processing and machine learning techniques for detection of eye diseases. Data is the future of technology. With the technological revolution the amount of data is increasing rapidly in any field. Thus using this data to distinguish between two images becomes our primary goal. The preprocessing technique leads to enhance the boundaries and feature extraction process and along with conversion of image type and then by combining the image processing part with the machine learning part we are able to design the algorithm. For this we are using concept of Template Matching template is nothing but a sub image which is small. The goal is to find similarities in template and input image. Due to this idea process will be done easily at faster rat

Detection of Retinal Disease Using Image Processing

India is one of the countries which is emerging in the field of telemedicine in recent years. We are still far away from our desired goal. To add to that the patients with eye diseases are also increasing rapidly. To provide them with a better treatment at a lower price is the main goal. The people in urban areas still manage an eye checkup but for the people in rural areas it becomes difficult. Mobile phones are reaching to every nook and corner of the country with the help of that telemedicine becomes possible. We want to come up with a solution in which this becomes possible. It is applied on image processing and machine learning. Image processing is having significance for disease detection on medical images. With help of image processing and machine learning techniques it is possible to automate and/or assist physicians in clinical diagnosis. This project synopsis describes the application of various image processing and machine learning techniques for detection of eye diseases. Data is the future of technology. With the technological revolution the amount of data is increasing rapidly in any field. Thus using this data to distinguish between two images becomes our primary goal. The preprocessing technique leads to enhance the boundaries and feature extraction process and along with conversion of image type and then by combining the image processing part with the machine learning part we are able to design the algorithm. For this we are using concept of Template Matching template is nothing but a sub image which is small. The goal is to find similarities in template and input image. Due to this idea process will be done easily at faster rat

Radiological and functional outcomes of anterior bridge plating with minimally invasive plate osteosynthesis technique for humerus diaphyseal fractures in adults

Background: We conducted a study to evaluate radiological, functional outcomes and complications of internal fixation of humerus diaphyseal fractures by anterior bridge plating (ABP) with minimally invasive plate osteosynthesis technique. Methods: 40 patients with humerus diaphyseal fractures operated by ABP with MIPO between August 2017 and January 2020 were included in the study. All patients were evaluated verbally, clinically, and radiologically for a minimum of 1 year. Results: Mean time to radiological union was 13.75 weeks. Disabilities of the arm, shoulder and hand score improved from a mean of 23.45 to a mean of 5.04 at 6 months. All patients except one had an excellent Mayo Elbow Performance Score score at 6 months. The variation of mean shoulder range of motion between normal and operated side was within 5 degrees at 6 months. Visual Analogue Scale score improved from a preoperative mean of 8 to a postoperative mean of 0.5 at 6 months. Mean intraoperative blood loss was 147 ml. Two patients had a superficial wound infection, one patient had a postoperative radial nerve palsy, and one patient had a delayed union, all of which recovered without any surgical intervention. Conclusions: ABP with MIPO technique for humerus diaphyseal fractures is a safe and effective treatment modality yielding high rates of union, excellent functional recovery, minimal biological disruption, better cosmesis, and superior patient satisfaction. Therefore, we recommend that ABP with MIPO should be considered as an alternative treatment option in patients with humerus diaphyseal fractures

Ponseti technique: efficacy in idiopathic clubfoot in Indian population

Background: The number of operations for clubfoot is many, but the results are not encouraging and more complications are encountered after operative treatment. Most surgeons believe manipulation to be easy; however they rarely complete the treatment and abandon it and go on to surgery. In the confusing scenario Ponseti Method evolved and proved across the world to be one of the most promising ways to correct club foot with low cost minimum surgery and good result in short period of time.Methods: 50 cases of idiopathic clubfeet (76 feet) were enrolled from a period of May 2006 to May 2008 in the department of Orthopaedic. Out of 50, 42 patients were followed-up for two years. Post tenotomy follow-up done every monthly for 3 months. At every visit babies were checked for any relapse and parents were counselled for the strict compliance with Foot Abduction Brace. The results of correction in 42 patients (64 feets) evaluated and compared with Ponseti's observation and other form of conservative management.Results: The analysis of results of correction of clubfeet deformity by Ponseti's method reveals around 95.30% of good to acceptable result as compared with Ponseti’s observation of around 99% which is comparable. We have observed 4.69% of poor result as compared with 1% observed by Ponseti.Conclusions: It is safe, efficient, Economical and most effective treatment for clubfoot which decreases the need for extensive corrective surgery. This technique can be used in children up to one year of age even after previous unsuccessful non-surgical treatment

Tennis elbow brace and wrist cock-up splint in the management of tennis elbow: a comparative study

Background: The purpose of our study was to compare the efficacy of a wrist splint with a forearm counterforce strap brace in the management of tennis elbow.Methods: This prospective study was conducted between January and December 2018 comprising of 75 patients suffering from lateral epicondylitis managed conservatively with splints. Patients were randomized into three treatment groups, group 1 received tennis elbow forearm brace, group 2 received wrist extension splint, group 3 received both tennis elbow forearm brace and wrist extension splint. The patient-rated tennis elbow evaluation (PRTEE) score and visual analogue scale (VAS) scores were calculated at 0, 3 and 6 weeks of the treatment.Results: Mean difference of pre-treatment and post-treatment PRTEE score was significant in all three groups and was maximum for group 3 patients (32.42) followed by group 2 patients (27.04) followed by group 1 patients (20.06). Pre-treatment and post-treatment VAS score difference was maximum for group 3 patients.Conclusions: Significant symptomatic relief can be achieved in patients with tennis elbow by using either tennis elbow forearm brace or wrist extension splint or both. Provided proper patient selection and compliance, wrist extension splint achieves better symptomatic relief and functional outcome as compared to tennis elbow brace

Inhibition of Adipogenesis and Induction of Apoptosis and Lipolysis by Stem Bromelain in 3T3-L1 Adipocytes

The phytotherapeutic protein stem bromelain (SBM) is used as an anti-obesity alternative medicine. We show at the cellular level that SBM irreversibly inhibits 3T3-L1 adipocyte differentiation by reducing adipogenic gene expression and induces apoptosis and lipolysis in mature adipocytes. At the molecular level, SBM suppressed adipogenesis by downregulating C/EBPα and PPARγ independent of C/EBPβ gene expression. Moreover, mRNA levels of adipocyte fatty acid-binding protein (ap2), fatty acid synthase (FAS), lipoprotein lipase (LPL), CD36, and acetyl-CoA carboxylase (ACC) were also downregulated by SBM. Additionally, SBM reduced adiponectin expression and secretion. SBM's ability to repress PPARγ expression seems to stem from its ability to inhibit Akt and augment the TNFα pathway. The Akt–TSC2–mTORC1 pathway has recently been described for PPARγ expression in adipocytes. In our experiments, TNFα upregulation compromised cell viability of mature adipocytes (via apoptosis) and induced lipolysis. Lipolytic response was evident by downregulation of anti-lipolytic genes perilipin, phosphodiestersae-3B (PDE3B), and GTP binding protein Giα1, as well as sustained expression of hormone sensitive lipase (HSL). These data indicate that SBM, together with all-trans retinoic-acid (atRA), may be a potent modulator of obesity by repressing the PPARγ-regulated adipogenesis pathway at all stages and by augmenting TNFα-induced lipolysis and apoptosis in mature adipocytes

Experimental Waterflow Determination of the Dynamic Hydraulic Transfer Function for the J-2X Oxidizer Turbopump

Experimental results describing the hydraulic dynamic pump transfer matrix (Yp) for a cavitating J-2X oxidizer turbopump inducer+impeller tested in subscale waterflow are presented. The transfer function is required for integrated vehicle pogo stability analysis as well as optimization of local inducer pumping stability. Dynamic transfer functions across widely varying pump hydrodynamic inlet conditions are extracted from measured data in conjunction with 1D-model based corrections. Derived Dynamic transfer functions are initially interpreted relative to traditional Pogo pump equations. Water-to-liquid oxygen scaling of measured cavitation characteristics are discussed. Comparison of key dynamic transfer matrix terms derived from waterflow testing are made with those implemented in preliminary Ares Upper Stage Pogo stability modeling. Alternate cavitating pump hydraulic dynamic equations are suggested which better reflect frequency dependencies of measured transfer matrices