An In-Depth Statistical Review of Retinal Image Processing Models from a Clinical Perspective

The burgeoning field of retinal image processing is critical in facilitating early diagnosis and treatment of retinal diseases, which are amongst the leading causes of vision impairment globally. Despite rapid advancements, existing machine learning models for retinal image processing are characterized by significant limitations, including disparities in pre-processing, segmentation, and classification methodologies, as well as inconsistencies in post-processing operations. These limitations hinder the realization of accurate, reliable, and clinically relevant outcomes. This paper provides an in-depth statistical review of extant machine learning models used in retinal image processing, meticulously comparing them based on their internal operating characteristics and performance levels. By adopting a robust analytical approach, our review delineates the strengths and weaknesses of current models, offering comprehensive insights that are instrumental in guiding future research and development in this domain. Furthermore, this review underscores the potential clinical impacts of these models, highlighting their pivotal role in enhancing diagnostic accuracy, prognostic assessments, and therapeutic interventions for retinal disorders. In conclusion, our work not only bridges the existing knowledge gap in the literature but also paves the way for the evolution of more sophisticated and clinically-aligned retinal image processing models, ultimately contributing to improved patient outcomes and advancements in ophthalmic care

Beneficial effects of fenugreek glycoside supplementation in male subjects during resistance training: A randomized controlled pilot study

AbstractPurposeTo evaluate the efficacy and safety of the glycoside fraction of fenugreek (Trigonella foenum-graecum) seeds (Fenu-FG) on physiological parameters related to muscle anabolism, androgenic hormones, and body fat in healthy male subjects during an 8-week resistance training program using a prospective, randomized, double-blind, placebo controlled design.MethodsSixty healthy male subjects were randomized to ingest capsules of Fenu-FG (1 capsule of 300 mg, twice per day) or the matching placebo at a 1:1 ratio. The subjects participated in a supervised 4-day per week resistance-training program for 8 weeks. The outcome measurements were recorded at recruitment (baseline) and at the end of the treatment (8 weeks). The efficacy outcome included serum testosterone (total and free) levels, muscle strength and repetitions to failure, metabolic markers for anabolic activity (serum creatinine and blood urea nitrogen), and % body fat. The standard safety measurements such as adverse events monitoring, vital signs, hematology, biochemistry, and urinalysis were performed.ResultsFenu-FG supplementation demonstrated significant anabolic and androgenic activity as compared with the placebo. Fenu-FG treated subjects showed significant improvements in body fat without a reduction in muscle strength or repetitions to failure. The Fenu-FG supplementation was found to be safe and well-tolerated.ConclusionFenu-FG supplementation showed beneficial effects in male subjects during resistance training without any clinical side effects

Parallel Imaging Reconstruction by Sense Algorithm

The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. To achieve increased acquisition speed in magnetic resonance imaging Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. Scan time was reduced to one-half using a four-coil array in brain imaging

Modified Variational Mode Decomposition for Power Line Interference Removal in ECG Signals

Power line interferences (PLI) occurring at 50/60 Hz can corrupt the biomedical recordings like ECG signals and which leads to an improper diagnosis of disease conditions. Proper interference cancellation techniques are therefore required for the removal of these power line disturbances from biomedical recordings. The non-linear time varying characteristics of biomedical signals make the interference removal a difficult task without compromising the actual signal characteristics. In this paper, a modified variational mode decomposition based approach is proposed for PLI removal from the ECG signals. In this approach, the central frequency of an intrinsic mode function is fixed corresponding to the normalized power line disturbance frequency. The experimental results show that the PLI interference is exactly captured both in magnitude and phase and are removed. The proposed approach is experimented with ECG signal records from MIT-BIH Arrhythmia database and compared with traditional notch filtering

Assessment of knowledge, attitude and practice about dengue in factory workers of Jammu region, India

Background: Dengue, a mosquito borne, arboviral disease has become a major cause of health concern in the recent times throughout the world. In India, we have been witnessing annual outbreaks for the past few years and lack of knowledge about prevention and treatment of dengue among majority of the population leads to increased mortality. In spite of this fact, very few studies have been done to know about the knowledge of people regarding dengue fever and whether proper preventive measures are being practiced by the community to limit its spread. The objective of the study is to assess the knowledge, attitude and practices (KAP) regarding dengue in factory workers in Jammu.Methods: An observational study was conducted in a factory of Jammu to assess knowledge, attitude and practices of factory workers about dengue.Results: Majority of workers had knowledge about dengue (92.56%), source (81.81%), nature of disease, symptoms, but complications were not known. Majority of the workers had no idea that laboratory test for dengue is not available in every laboratory.63.63% of the workers knew that papaya is useful in dengue. 74.38% of the workers knew that low platelet count is found in dengue. There were 82.64% of the workers told that they think dengue is curable and preventable. There were 54.54% of the workers told that dengue can be prevented by avoiding stagnation of water. 57.85% of the workers told that they are aware about the sprays used by govt. to kill mosquito.Conclusions: There is a need to bring awareness about dengue, prevention and treatment as it is a prevalent disease now

CONTAINERIZED DEPLOYMENT OF WEBRTC-SIP INTERWORKING FUNCTION TO INTEROPERATE WITH LEGACY SIP LINE-SIDE EDGES

Conventional Session Initiation Protocol (SIP) line-side edges are not always distributed, and they require that registrations and calls be handled by the same entity. Servers that support Web Real-Time Communication (WebRTC) clients do not require a hard state and with cloud deployments they are increasingly being deployed as containerized workloads. Containerized deployments (such as Kubernetes) are typically stateless, and even with stateful implementations special handling is required to ensure that registrations and calls are consistently sent to the same SIP edge node, with high availability, in the face of frequent pod failures. To address such challenges, techniques are presented herein that enable a browser (that is stateless) to register via a Kubernetes cluster of pods (which are, again, stateless) but still connect as a SIP line side to a legacy SIP system that requires stickiness in terms of using the same Transmission Control Protocol (TCP) or Transport Layer Security (TLS) connection for SIP registrations and calls

Efficacy of plasma vascular endothelial growth factor in monitoring first-line chemotherapy in patients with advanced non-small cell lung cancer

Background: Along with the development of new cancer therapeutics, more effective tools for the estimation of response to therapy and prediction of disease progression are required for the better management of inoperable cancer patients. Methods: We studied 134 newly diagnosed and primarily untreated advanced non-small cell lung cancer patients and 100 controls. Forty two patients received platinum-based chemotherapy. Plasma VEGF levels were quantified in all samples at baseline and also before second and third chemotherapy cycle in 42 patients and correlated with response to therapy as assessed by computed tomography after the third chemotherapy cycle. Results: We observed that, patients who went into remission had significantly lower baseline VEGF levels before second and third cycles of chemotherapy when compared with patients with no change and progression. Plasma VEGF levels showed a greater decrease from cycle 1 to 2 and from cycle 1 to 3 in patients who showed remission in comparison to those with no change or progression. Plasma VEGF levels before the second cycle detected poor response to therapy with a sensitivity and specificity of 76.9% and 75.0%, respectively (area under the ROC curve = 0.724). Early prediction of disease progression was achieved with a sensitivity and specificity of 71.4% for plasma VEGF before cycle 2 (area under the ROC curve = 0.805). The kinetics of VEGF form cycle 1 to 2 and cycle 1 to 3 also gave significant information for predicting disease progression as well as insufficient therapy response. Conclusion: Monitoring of plasma VEGF levels during the course of first-line chemotherapy could identify patients who are likely to have insufficient response to therapy and disease progression at an early stage. This may help in individualizing treatment and could lead to better management of the advanced stage lung cancer

Anti-Diabetic Study of Flower Extract of Eugenia Jambolona In Rats

We are learning more about the role that integrated medicine plays in treating metabolic illnesses. This is partially based on an abundance of scientific data regarding therapeutic herbs, including those with promise to treat diabetes, and in part on the WHO's and other governmental organizations’ support for the practise. The anti-diabetic effect of number of flowers of Eugenia jambolana (EJA) was evaluated in the current study on streptozotocin-induced diabetic rats. The The study's primary goal was to look into the potential antidiabetic effects of sub-chronic oral administration of E. jambolana flowers infusion in rats with STZ-induced diabetes. In diabetic experimental rats, the floral extract considerably reduced blood sugar and cholesterol levels when given 400 mg/kg of body weight are the dosage. It also increased liver glycogen and total protein levels, enhanced reduced Hb1AC, serum level, and antioxidant levels, as well as impaired glucose tolerance. Additionally, it raised liver glycogen and total protein levels as well as glucose tolerance. A common hypoglycemic medication called Glibenclamide was used to compare the hypoglycemic efficacy.The preclinical investigation's results could be useful for phase 2 clinical studies that aim to reduce the morbidity and mortality of diabetes mellitus exacerbated by drug-induced hypoglycemia by implementing integrated medicine