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Perceptions and Reflections of a Professional Pianist: A Case Report on Learning Human Anatomy through Cadaveric Dissection
Anatomical knowledge of the human body is a prerequisite for effortless and expressive movement for musicians. A 35-year-old professional pianist, with no prior experience in the medical field, voluntarily completed a cadaveric dissection module of the upper extremity and spine. The pianist was able to explore the intricate connections between human anatomy and the performance of piano music, gaining knowledge to enhance music quality and to manage and prevent injuries. This case describes the pianist’s perceptions and reflections and highlights the potential value of anatomical education for individuals in non-medical fields. This is, to our knowledge, the first documented case of a musician learning anatomy through cadaveric dissection
Additional Tendon Slip of the Extensor Carpi Radialis Longus: A Case Report with Clinical Application
Additional tendon slips of the extensor carpi radialis longus are rare anatomical variants, with incidence ranging from 12-35%. While this anatomical variant is typically benign, it is clinically important as it can contribute to neuromusculoskeletal dysfunction. Medical providers should be aware of variations of the wrist extensors during surgeries involving the forearm and wrist. The presence of additional tendons may cause confusion when interpreting imaging findings. This case report details findings of an additional wrist extensor tendon identified during a cadaveric dissection lab in a physical therapist education program. 
ROSES, the only RObotic System for any Endovascular Surgery, Including the Control of an Animated Catheter Characterized by the Presence of two Controlled Curvatures
The paper presents ROSES, its robotic components, the different devices, not necessarily sterile, and its disposables, suitable for any endovascular procedure, both actually performed and presently not assisted by any robotic system, and open in the future for new application yet to come, such as what will be allowed by the new animated catheter. In fact, this is due to the mechanical configuration of the robotic actuators based on a peculiar gear train which presents a big passage hole which allows both the passage of big catheters and even hemostasis valves, as well as full control of very small catheters and guide wires. The system measures forces opposed by the body showing their value both numerically and analogically without the need of any. special tool, measures length of penetration of each catheter and guide wires recording their value. Thus, it may become in future, connected to a work station that will register in real time also the fluoroscopic images, a kind of black box of endovascular surgeries, separating completely doctor and nurses from the patient, using also cameras and microphones to replace the physical contact with the patient
Case Study: Hashimoto’s Thyroiditis and Increased HbA1C
Several metabolic problems and clinical symptoms are caused by hypothyroidism. According to some research, hypothyroidism may cause blood sugar levels to rise. It has been shown that people with diabetes who also have hypothyroidism may have higher Hemoglobin A1C values (HBA1C). This test is used to diagnose and monitor diabetes patients' blood sugar control. A high HBA1C typically implies poor diabetes management. Patient was suffering from Hashimoto’s Thyroiditis, which was diagnosed through blood investigations and was given treatment as per functional medicine approach. HbA1c was seen high in start, which reduced significantly after functional medicine treatment and therapies. Our study suggests that we should be cautious while interpreting HbA1c values in patients with hypothyroid and treating patients while observing all their symptoms and treating them by working on their root cause i.e., functional medicine approach
Combining Lemon and Glycerin may Beneficially Regulate Blood Glucose Levels by Modulating Gut Microbiota in Non-obese Diabetic Mice
Both dietary lemon and glycerin have shown beneficial effects in diabetic humans and animals. It was hypothesized that there were potential therapeutic advantages of combining both agents in hyperglycemic and healthy mice. In a 6-month study using mature adult male non-obese diabetic (NOD) mice, oral treatment with either lemon or glycerin alone increased blood glucose levels during the third month glucose tolerance test and decreased the activity of the predicted glycolysis/gluconeogenesis pathways when compared to the vehicle control; however, this was no longer observed when lemon and glycerin were combined. Metabolomic analysis indicated that acetate was increased in the fecal samples after treatment with either glycerin or the combination. A 2-month study was also conducted in both male and female NOD mice and suggested that there were more gut microbiome changes at one month in comparison to six months. In older NOD male mice, treatment with the combination for six months decreased insulin resistance. In both adult male and female C57BL/6 mice, dosing with the combination for two months decreased blood glucose levels, as well as glucose tolerance and insulin resistance. In addition, treatment with the combination decreased body weights, especially in male mice, in all four studies. Overall, these studies suggest that lemon and glycerin in combination may reduce the side effects of individual treatments (e.g., transient hyperglycemia) and have some additional benefits (e.g., weight loss). Microbiome modulation likely contributed to the observed beneficial effects
Financial Risk Assessment using Machine Learning Engineering (FRAME): Scenario based Quantitative Analysis under Uncertainty
Risk management functions, under uncertainty, in the Banking Industry have been changing and will continue to change with the recent advancements and innovations. Embracing uncertainty and working with measurable risk becomes critical, therefore quantitative risk severity assessment is critical for sustainable financial excellence. In this paper, the authors propose Financial Risk Assessment using Machine Learning Engineering (FRAME) based on artificial intelligence (AI) and machine learning (ML), which has two significant contributions. Firstly, adoption of machine learning models for banking towards risk quantification and secondly, granularity that emphases on customized logic via multi-factor analysis modeling at different levels of abstraction connecting machine learning models. These contributions will help Financial Institutions (Fis) that will gain the most benefits and opportunities. In a nutshell, the framework analysis presented in this paper is intended as a step towards building a framework of risk modeling from qualitative to quantitative, viewed at different levels of abstraction to access risk severity in the banking applications
Toxicity Evaluation of Silver Nanoparticle in the Kidneys of Wistar Rats
This study aimed to evaluate the nephrotoxic effects of silver nanoparticles (AgNPs) in Wistar rats using biochemical, oxidative stress and histopathological changes. Three groups of six rats were orally administered AgNPs once a day for 28 days with doses of 100, 500, 1000 mg/kg bodyweight. A control group was administered with deionized water. Blood and kidneys were collected 24 h after the last treatment following standard protocols. The activities of creatinine and blood urea nitrogen against AgNP-induced toxicity was determined in the serum by colorimetric microplate assay. Various activity levels of oxidative stress including, Catalase (CAT), Superoxide dismutase (SOD), Glutathione peroxidase (GPx) and Lipid hydroperoxides (LPO) were evaluated in the kidney tissue. Scanning (SEM) and transmission electron microscopy (TEM) was used to determine the histopathological evaluation of the kidneys. A significant increase in the levels of serum creatinine, blood urea nitrogen, CAT and LPO, were noted in AgNPs exposed rats compared to that in control rats. In contrast, decreased activities of SOD and GPx in a dose-dependent manner was observed in AgNPs exposed rats relative to control rats. SEM and TEM study showed significant morphological alterations in kidneys of AgNPs exposed rats in accordance with the biochemical markers. The results of the study demonstrate that AgNPs might be nephrotoxic, and its toxicity is mediated through oxidative stress mechanism
Recent Advances in Sorafenib based Nanoformulation for Enhanced Cancer Therapy
Sorafenib, a multi-kinase inhibitor has gained significant attention in cancer therapy. However, the clinical use of sorafenib is limited by poor aqueous solubility, low bioavailability, unfavorable pharmacokinetic properties, and undesirable side effects including anorexia, gastrointestinal bleeding, and severe skin toxicity. To overcome these drawbacks, the encapsulation of sorafenib into nanocarriers is an effective strategy. With advancements in nanotechnology, sorafenib[1]based nanoformulation has been developed to enhance their targetability and bioavailability. Various strategies, such as ligand-mediated targeting and stimuli-responsive systems, enable selective drug delivery to cancer cells while overcoming multidrug resistance. This editorial highlights the recent advances in sorafenib-based nanoformulation (liposomal, polymer, metallic) for improved cancer therapy
Innovation Framework for Financial Excellence: Banks, FinTech and the Regulators
Financial innovations like peer-to-peer payment and digital currency, mostly introduced by FinTech companies, are perceived as disruptions to Financial Institutions (FIs). For banks, transformation to digital banking helps initially but quickly intensifies the challenge to change with speed and scale given the diversity of such disruptions. Who are banks competing with? What will banking be competing on? Interesting questions like these, which were not even relevant a decade ago, are pushing banks to innovate about the products, services, branches, and operations, if not the very core model of banking. For example, applying pay cuts into the profit margin but emerging innovation of Blockchain raises the questions of whether banks should accept Bitcoin or re-invent the trade finance service.
Consumers do seem to benefit initially as competition encourages banks to lower the service fees and design new products in the quest of enhancing customer experience. Nevertheless, all come with a price, for instance digital frontier becomes a fertile ground for fraud and Regulators may jump in at calculated moment. This helps to level the competition or curtail intrusion into the space of customer privacy. Reluctantly, however, regulators, FinTech companies and banks now enter the impossible trinity, or what economists call the trilemma, which is the core issue our research focuses on.
This paper develops an empirical framework for banks to embrace disruptive innovation from FinTech start-ups and associated legal or regulatory changes and to create competitive advantage through strategic use of enterprise data that are originated in the bank or acquired by the bank. Lab works in multiple North American banks have been first anonymized to protect the interest of all engaged parties and then harmonized to mature the empirical models based on first-hand evidence in three directions: Customer Experience Enhancement, Digital Product Design and Fraud Management. Foundation of the framework, however, builds on research works in digital banking, social engineering, data science, decision modeling, fraud detection algorithms, digital currency, and regulations adaptive to societal transformations enabled by application of artificial intelligence and Internet of Things. Rather than locking in rigid industry trend, often heavily depend on hence limited by technology, the framework focuses on translating theory or strategy into product and actionable steps that have direct and measurable impact. Data is the key enabler. Data monetization is a good example. Results from Banking Labs work are the proof, and the value will be even more pronounced as expected results come by to validate and optimize the framework and its implementation
Mean-Variance Serum Sodium Associations with Diabetes Patients
Serum sodium (SNa) is a critically significant component of hyponatremia and bones, has firmly been established as a risk factor correlated with many diseases such as diabetes, heart, anaemia, etc and the incidence of fragility fractures. Note that the fragility fractures are a general complication in type 2 diabetes (T2D) patients, contributing to high rates of mortality and morbidity together with mounting public health costs. SNa is a fundamental component for normal physiological processes, and T2D patients may experience osmotic diuresis as a consequence of disease-related hyperglycemia, contributing to the excess excretion of sodium in the urine and resulting in hyponatremia. Dysnatremias [hyponatremia (<136 mmol/L) and hypernatremia (>145mmol/L)] can severely affect several physiologic organ systems and functions. Diabetes is correlated with many important electrolyte disorders, predominantly affecting magnesium, SNa, and potassium. However, the correlation/ association of SNa with diabetes patients is not clear. This can be confirmed based on the proper probabilistic model of SNa with diabetes status along with the other explanatory factors of the disease. On the other hand, this type of association can be obtained based on the models of fasting glucose/post glucose/random glucose/HbA1c level with SNa and other explanatory factors of the diabetes disease