Unilateral Giant Varicocele Mimicking Inguinal Hernia Resulting from Portosystemic Shunt without Evidence of Portal Hypertension: An Unusual Case Report

Isolated giant varicocele has been reported with portal hypertension that results in abnormal communication between portal venous system and testicular vein venous system resulting in retrograde backflow of blood into the testicular venous system which leads to varicosity of the pampiniform plexuses. 65-year-old male with no past medical or surgical history presented to us with soft inguinoscrotal swelling that disappears on lying down mimicking inguinal hernia. Clinical examination revealed soft inguionoscrotal swelling that disappears on pressure. Ultrasonography revealed varicosity of pampiniform plexus, and CT angiography to trace the extent of the varicosity revealed abnormal communication of right testicular vein with superior mesenteric vein. There was no evidence of any portal hypertension; the cause of the portosystemic shunt remains obscure, and it might be a salvage pathway for increasing portal pressure. The case is noteworthy for its rare presentation and abnormal communication with portal venous system in the absence of evidence of portal hypertension

A Feasibility Study on Friction Screw Extrusion Additive Manufacturing of AA6060

Additive manufacturing in the solid state opens up possibilities for many alloys that are not suitable for fusion-based approaches. Following the advances in friction-based joining processes for high-strength aluminum and magnesium alloys, the Friction Screw Extrusion Additive Manufacturing (FSEAM) process has been developed for deposition of thin layers for cladding and additive manufacturing on a variety of substrates. In this work, the first results on the manufacturing of wall-like rectangular builds from AA6060T6 are reported. Multiple layers of about 15 mm width and 1 mm thickness were deposited with print velocities of 100–250 mm/min at constant tool rotation speed. Solid walls were formed without major macroscopic defects. Promising mechanical properties were measured with a yield strength of about 80 MPa and a tensile strength increasing from 112 to 144 MPa as function of the print velocity. The material was characterized by a fine microstructure with an average grain size below 10 μm for all builds. At the microscale, strings of unbonded regions have been observed at lower print velocities possibly related to insufficient mixing of the deposited material with the previous layer during manufacturing leading to reduced ductility. The observed results are encouraging, indicating that additive manufacturing of aluminum alloys through FSEAM is feasible after further optimization of the process

Preparation and Evaluation of Tubular Micelles of Pluronic Lecithin Organogel for Transdermal Delivery of Sumatriptan

The present work focuses on the preparation and evaluation of lecithin organogel system of thermoreversible polymer pluronic F127, which would enhance the stability and absorption of sumatriptan succinate across the skin. Formulations were developed with and without co-surfactant (pluronic F127). The prepared organogels were evaluated for its appearance, organoleptic characteristics, and feel upon application, homogeneity, occlusivenes, washability, pH, viscosity, spreadability, gel transition temperature of formulations. The formulations were also evaluated for drug content, in vitro drug diffusion properties and skin irritation testing. In vivo evaluation of formulations was carried out by hot plate and writhing test method, and finally the optimized formulation was subjected to stability studies. The developed formulations were easily washable, smooth in feel, and showed no clogging which indicate superior texture of system. Formulation, containing pluronic showed greater spreadability and higher drug diffusion rate as compared to pluronic free organogel. Drug content of organogel formulations was in the range of 94–97%. The pH of the formulations was 6.48 ± 0.5 and 6.98 ± 0.1, reflecting no risk of skin irritation. Pluronic not only enhances the stability of organogel by increasing the viscosity (from 6,541 ± 234.76 to 7,826 ± 155.65 poise) but also increases the release of drug from 67.39 ± 1.53% to 74.21 ± 1.7%. The sumatriptan exhibits higher and long lasting antinociceptive effect as indicated by the persistent increase in reaction time in hot plate and inhibited abdominal contraction in acetic acid-induced writhing test (p < 0.05). The prepared optimized formulation was found to be stable without any significant changes at room temperature

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet poorly characterized. In order to inform future research, prepare for disruptive new model capabilities, and ameliorate socially harmful effects, it is vital that we understand the present and near-future capabilities and limitations of language models. To address this challenge, we introduce the Beyond the Imitation Game benchmark (BIG-bench). BIG-bench currently consists of 204 tasks, contributed by 442 authors across 132 institutions. Task topics are diverse, drawing problems from linguistics, childhood development, math, common-sense reasoning, biology, physics, social bias, software development, and beyond. BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models. We evaluate the behavior of OpenAI's GPT models, Google-internal dense transformer architectures, and Switch-style sparse transformers on BIG-bench, across model sizes spanning millions to hundreds of billions of parameters. In addition, a team of human expert raters performed all tasks in order to provide a strong baseline. Findings include: model performance and calibration both improve with scale, but are poor in absolute terms (and when compared with rater performance); performance is remarkably similar across model classes, though with benefits from sparsity; tasks that improve gradually and predictably commonly involve a large knowledge or memorization component, whereas tasks that exhibit "breakthrough" behavior at a critical scale often involve multiple steps or components, or brittle metrics; social bias typically increases with scale in settings with ambiguous context, but this can be improved with prompting

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet poorly characterized. In order to inform future research, prepare for disruptive new model capabilities, and ameliorate socially harmful effects, it is vital that we understand the present and near-future capabilities and limitations of language models. To address this challenge, we introduce the Beyond the Imitation Game benchmark (BIG-bench). BIG-bench currently consists of 204 tasks, contributed by 442 authors across 132 institutions. Task topics are diverse, drawing problems from linguistics, childhood development, math, common-sense reasoning, biology, physics, social bias, software development, and beyond. BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models. We evaluate the behavior of OpenAI's GPT models, Google-internal dense transformer architectures, and Switch-style sparse transformers on BIG-bench, across model sizes spanning millions to hundreds of billions of parameters. In addition, a team of human expert raters performed all tasks in order to provide a strong baseline. Findings include: model performance and calibration both improve with scale, but are poor in absolute terms (and when compared with rater performance); performance is remarkably similar across model classes, though with benefits from sparsity; tasks that improve gradually and predictably commonly involve a large knowledge or memorization component, whereas tasks that exhibit "breakthrough" behavior at a critical scale often involve multiple steps or components, or brittle metrics; social bias typically increases with scale in settings with ambiguous context, but this can be improved with prompting.Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-benc