investigation of particle dynamics and classification mechanism in a spiral jet mill through computational fluid dynamics and discrete element methods

Abstract Predicting the outcome of jet-milling based on the knowledge of process parameters and starting material properties is a task still far from being accomplished. Given the technical difficulties in measuring thermodynamics, flow properties and particle statistics directly in the mills, modelling and simulations constitute alternative tools to gain insight in the process physics and many papers have been recently published on the subject. An ideal predictive simulation tool should combine the correct description of non-isothermal, compressible, high Mach number fluid flow, the correct particle-fluid and particle-particle interactions and the correct fracture mechanics of particle upon collisions but it is not currently available. In this paper we present our coupled CFD-DEM simulation results; while comparing them with the recent modelling and experimental works we will review the current understating of the jet-mill physics and particle classification. Subsequently we analyze the missing elements and the bottlenecks currently limiting the simulation technique as well as the possible ways to circumvent them towards a quantitative, predictive simulation of jet-milling

Health Effects of Risky Lifestyles and Adverse Working Conditions: Are Older Individuals More Penalized?

Using unusually rich panel data from Denmark, we investigate differences by age in the health implications of risky lifestyles and adverse working conditions. Accounting for time-invariant unobserved heterogeneity, overall, we find no health penalties for older workers (55 and over) compared to younger ones (18\u201334; 35\u201354). However, the former suffer more from the health consequences of risky lifestyles\u2014especially the lack of consumption of fruit and vegetables and physical inactivity. Working conditions negatively relate with health, but fewer differences across age groups exist. Selection bias, namely the healthy worker effect, does not alter our results

Laparoscopic conservative treatment of colo-vesical fistulas following trauma and diverticulitis: report of two different cases

Abstrac

Robot assisted laparoscopic excision of a paraganglioma: new therapeutic approach

The Paraganglioma is the most common extra-adrenal pheochromocytoma arising from neural crest (1) (It will better to write: The paraganglioma is an extra-adrenal pheocromocytoma arising from the neural crest. 10% of pheocromocytomas are extra-adrenal and can arise form chromaffin tissue derived from primitive neuroectoderm). Minimally invasive techniques allow surgeons to perform the procedure without wide exposure and mobilization of intra abdominal organs. To our knowledge we present the third case of robotic excision of a retroperitoneal paraganglioma (2,3)

Plasma Neurofilament Light Chain Predicts Cognitive Progression in Prodromal and Clinical Dementia with Lewy Bodies

Plasma neurofilament light chain (NfL) is a marker of neuronal damage in different neurological disorders and might predict disease progression in dementia with Lewy bodies (DLB). The study enrolled 45 controls and 44 DLB patients (including 17 prodromal cases) who underwent an extensive assessment at baseline and at 2 years follow-up. At baseline, plasma NfL levels were higher in both probable DLB and prodromal cases compared to controls. Plasma NfL emerged as the best predictor of cognitive decline compared to age, sex, and baseline severity variables. The study supports the role of plasma NfL as a useful prognostic biomarker from the early stages of DLB

Robot assisted laparoscopic excision of a paraganglioma: new therapeutic approach

The Paraganglioma is the most common extra-adrenal pheochromocytoma arising from neural crest (1) (It will better to write: The paraganglioma is an extra-adrenal pheocromocytoma arising from the neural crest. 10% of pheocromocytomas are extra-adrenal and can arise form chromaffin tissue derived from primitive neuroectoderm). Minimally invasive techniques allow surgeons to perform the procedure without wide exposure and mobilization of intra abdominal organs. To our knowledge we present the third case of robotic excision of a retroperitoneal paraganglioma (2,3)

Plasma NfL, clinical subtypes and motor progression in Parkinson's disease.

INTRODUCTION: neurofilament light chain (NfL) levels have been proposed as reliable biomarkers of neurodegeneration in Parkinson's disease (PD) but the relationship between plasma NfL, clinical subtypes of PD and motor progression is still debated. METHODS: plasma NfL concentration was measured in 45 healthy controls and consecutive 92 PD patients who underwent an extensive motor and non-motor assessment at baseline and after 2 years of follow-up. PD malignant phenotype was defined as the combination of at least two out of cognitive impairment, orthostatic hypotension and REM sleep behavior disorder. PD patients were divided according to the age-adjusted cut-offs of plasma NfL levels into high and normal NfL (H-NfL and N-NfL, respectively). A multivariable linear regression model was used to assess the value of plasma NfL as predictor of 2-years progression in PD. RESULTS: NfL was higher in PD patients than in controls (p = 0.037). H-NfL (n = 16) group exhibited more severe motor and non-motor symptoms, higher prevalence of malignant phenotype and worse motor progression (MDS-UPDRS-III 11.3 vs 0.7 points, p = 0.003) compared to N-NfL group (n = 76). In linear regression analyses plasma NfL emerged as the best predictor of 2-year motor progression compared to age, sex, disease duration, baseline motor/non-motor variables. CONCLUSION: increased plasma NfL concentration is associated with malignant PD phenotype and faster motor progression. These findings support the role of NfL assessment as a useful measure for stratifying patients with different baseline slopes of decline in future clinical trials of putative disease-modifying treatments