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Lower extremity edema is one of the most common complaints among pregnant patients. Lymphatic origin to these edemas is rarely considered and few cases of lymphedema after pregnancy have been reported and documented in medical literature. We describe here a series of 15 cases where the diagnosis of lymphedema was established by lymphoscintigraphy.  Dermal reflux was observed in ten of the 15 patients (66%), popliteal lymph nodes in 11 (73%), and the edematous limb(s) were said to be abnormal in all but one case which showed only functional asymmetry at rest and limited vascular reflux in a calf.

We present a case of hypocomplementemic urticarial vasculitic syndrome (HUVS) who developed severe renal failure requiring ICU-level care. Our patient is a 66-year-old man who presented with abdominal pain, rash, confusion, oliguria, and shortness of breath. He was found to be in acute renal failure with leukocytosis and elevated lactate. Work-up for infectious, autoimmune, and hematologic malignant diseases was negative. The presence of chronic urticaria, abdominal pain, hypocomplementemia, and leukocytoclastic vasculitis on skin biopsy confirmed the diagnosis of HUVS. He required hemodialysis for renal failure as well as gastrostomy tube placement for nutritional support secondary to the development of mucosal ulcers, a rare finding in HUVS. He recovered with several months of high-dose steroids and hemodialysis. This case highlights the effectiveness of steroids for initial treatment of HUVS, and the relapsing and remitting nature of the disease. Providers should also be aware of the broad range of presenting symptoms such as mucosal lesions that may require nutritional support. Interestingly, unlike many previously reported cases of HUVS, our patient had not yet developed signs and symptoms of systemic lupus erythematosus, which often overlaps with HUVS.

The liaison of birth weight to neonatal and mature vigor is especially given important if have the acquaintance of factors distressing in birth weight. Unbiased Best linear prediction of breeding values was estimated from pedigree birth weight records of 13715 Kajli sheep of livestock Experiment Station Khizerabad born 1994 to 2010, and Livestock Experimental Station, Khushab. Data records were statistically analyzed by means of using computer programmed Mixed Model Harvey’s Least Squares and Maximum Likelihood. An animal model was used for heritability estimation following Maximum Likelihood procedure. Estimates of birth weight heritability in Kajli sheep were 0.05 ± 0.019. The estimated breeding values of both forms for males, females, and sire were calculated with significant variation. Both farms data were analyzed by using an animal model program. The squares mean slightest for weight at birth (kg), remained 4.13 ± 0.01 kg. In addition, birth of the year, the birth of type, flock and sex significantly affects the (p < 0.001) trait of birth weight. The domino effect of the current study has rational implications not only for sheep husbandry nevertheless as well as for amplified acquaintance of parameters which drastically persuade deviation of weight in birth as weight in birth has become itself noteworthy forecaster of anon fitness outcomes. These results showed the decreasing genetic and static phenotypic at birth weight. It is likely that there are complex interactions between genetics and environmental factors of parental, placental and fetal origin. Birth weight is highly influenced trait by maternal nutrition, genes, care, management, climate, seasonal variation and type of birth.

Brucellosis is a zoonotic infection that is endemic in some Mediterranean countries, North Africa and the Middle East. Brucella is a rare cause of peritonitis in Peritoneal Dialysis (PD) population and in non-dialysis patients alike. We report here a challenging case of PD-related Brucella peritonitis in a 45-year-old Saudi male with late peritonitis that delivered some key learning throughout its course from presentation, diagnosis and treatment to catheter salvage attempts so as to circumvent PD failure. We provide an in-depth review of limited published literature on PD-related Brucella peritonitis (seven cases, and present case) and summarized the data on key clinical characteristics, management and PD technique outcome to benefit nephrologists when encountered with this rare presentation.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

The nuclear fusion reaction can be catalyzed in a suitable fusion fuel by muons (heavy electrons). “For the fractal relations, ranging from DNA knots to solar neutrino flux signals”, ever derived of scale-invariant properties distinguished between classical invariant theory & quantum invariant theory subfactors. Accompanying isomorphic & Connes FusionTensor Product retrieved to μ-catalyzed fusion where surroundings of room temperature fusion driven by the balance in mtDNA fusion & fission. On behalf of the nanometer dimension of the radius of heavy electrons & wavelength of UV-light, it assumed that muons can be produced by oxidation-like decay when UV-light impinging water.

Multiple stab wounds are a critical forensic indicator, frequently linked to violent assaults, homicides, or self-inflicted injuries. These penetrating injuries result from sharp-edged weapons such as knives, daggers, or other pointed instruments. The depth, size, and severity of the wounds depend on factors including the type of weapon used, the force applied, and the anatomical location of impact. Forensic examination of stab wounds is essential in determining the manner of death—homicidal, suicidal, or accidental. Detailed analysis of wound characteristics, such as depth, trajectory, and associated injuries, aids in crime scene reconstruction. Additionally, identifying defensive wounds can indicate victim resistance, further supporting forensic interpretations. A meticulous forensic autopsy, including weapon analysis and internal organ assessment, is crucial in establishing the cause of death. These findings play a vital role in medico-legal investigations, providing key forensic evidence that supports legal proceedings and ensures justice.

Aims: To present a further example showing an efficiency of a modeling method based on the theory of dynamic systems in pharmacokinetics. Study design:The goals of the current study were twofold: to present (1) a further example showing efficiency of a modeling method based on the theory of dynamic systems in pharmacokinetics, an to perform (2) a next step in tutoring the use of computational and modeling tools from the theory of dynamic systems in pharmacokinetics. The data available in the study by Plusquellec et al. published in the October Issue of the Journal Medical Engineering & Physics were used to exemplify the method considered here. For modeling purpose an advanced mathematical modeling method was employed. Modeling was performed using the computer program named CTDB described in the study by Dedík et al. published in September 2007 issue of the Journal Diabetes Research and Clinical Practice. Main outcome: Modeling results revealed that computational and modeling tools from the theory of dynamic systems can be successfully used in the development of a mathematical model of such a complicated process as is a multiple sites discontinuous gastrointestinal absorption.

Scoliosis is a condition of abnormal lateral curvature of the spinal column greater than 10 degrees as measured by Cobb’s angle. The two main groups of scoliosis are idiopathic scoliosis and non-idiopathic scoliosis. The diagnosis of an idiopathic scoliosis is made if a non-idiopathic one has been excluded. Idiopathic adolescent scoliosis is a more common form. Neuromuscular scoliosis, which is a type of non-idiopathic scoliosis, is characterized by diverse muscular and neurological impairments. Anesthesia and surgery for neuromuscular scoliosis have a higher risk of perioperative complications than for idiopathic cases.

The integration of artificial intelligence (AI) technology into various fields, particularly healthcare, has demonstrated considerable potential in improving efficiency and accuracy. However, the potential risks associated with unprofessional or inappropriate use of AI cannot be overlooked. The current landscape of healthcare demonstrates a growing reliance on AI tools, which is expected to expand in the future. The existing literature highlights the effectiveness  of various AI applications, including chatbots, in specific medical domains. This study aims to review relevant literature in the pharmaceutical and galenic fields while evaluating a prominent AI chatbot provider. Based on the findings, this article presents critical considerations for researchers and practitioners. A thorough assessment of the benefits and risks associated with AI technologies is essential as these tools become increasingly prevalent in pharmaceutical practices.