The nature of the normal state of an ultracold Fermi gas in the BCS-BEC crossover regime is an intriguing and controversial topic. While the many-body ground state remains a condensate of paired fermions, the normal state must evolve from a Fermi liquid to a Bose gas of molecules as a function of the interaction strength. How this occurs is still largely unknown. We explore this question with measurements of the distribution of single-particle energies and momenta in a nearly homogeneous gas above ${T}_{c}$. The data fit well to a function that includes a narrow, positively dispersing peak that corresponds to quasiparticles and an ``incoherent background'' that can accommodate broad, asymmetric line shapes. We find that the quasiparticle's spectral weight vanishes abruptly as the strength of interactions is modified, which signals the breakdown of a Fermi liquid description. Such a sharp feature is surprising in a crossover.
A 50-year-old African-American male with no known previous medical comorbidities presented to the emergency room with complaints of three days of worsening epigastric pain associated with nausea and vomiting. Laboratory parameters on admission revealed high lipase: 1796 U/L (normal range 0-160 U/L), high blood glucose level: 300 mg/dl, anion gap metabolic acidosis, ketonuria, significant hyperlipidemia (triglyceride: 1226 mg/dl (normal range <150 mg/dl), and LDL cholesterol: 307 mg/dl (normal range <100 mg/dl)). Treatment with intravascular volume and electrolytes replacement as well as administration of intravenous insulin successfully resolved diabetic ketoacidosis (DKA) and hypertriglyceridemia (HTG) with a drop in triglyceride (TG) level from 1226 mg/dl to 193 mg/dl. Radiologic imaging studies by ultrasonography (USG) and CT of the abdomen showed features suggestive of interstitial pancreatitis. Glycated hemoglobin (HbA1) was 10.7% suggesting uncontrolled diabetes mellitus. Here, we explain the possible pathophysiology and management of this uncommon triad-DKA, hypertriglyceridemia, and acute pancreatitis-followed by discussion and literature review, which highlight the diagnostic challenge and possible relation of the severity of pancreatitis with the degree of hypertriglyceridemia.
Recent advances in technology in the fields of artificial intelligence (AI) and machine learning (ML) are significantly changing business environment. In the high-tech competitive edge, it has the immense use of computerized knowledge analytics, particularly for information management and the industrial sector. This study aims to analyze adoption of artificial intelligence among Nepalese industries, how industries are ready to adopt AI, challenges being faced and ways for improvement. Findings of the study revealed that on average 20.77% industries are ready in terms of technological sufficiency, 29.91% industries are ready in terms of management efficiency, and 39.23% industries are ready in terms of value creation potential in the firm for the adoption of AI intelligence. Further, 56% industries stated that small market size and lack of skilled manpower are the major challenges for AI adoption. Therefore, this study concludes that as stated by 44% industries, if they get adequate and relevant support from government, it would be easier for them to adopt AI.
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