Intracranial Intracerebral Schwannoma: a Case Report and Review of the Literature

Intracranial schwannomas are relatively uncommon, accounting for approximately 8% of all intracranial tumors, while intracerebral schwannomas represent an even rarer entity, responsible for roughly 1% of all intracranial schwannomas. After reviewing the relevant literature, we discussed the clinical journey of a 74-year-old woman who presented with a 3-week history of dizziness and nausea. Magnetic resonance imaging revealed a right temporal mass lesion with perifocal edema. The initial suspicion was the diagnosis of a glioblastoma or metastasis, prompting surgical intervention. During the surgery, a gross total resection of a noninvasive tumor was successfully performed. The patient’s postoperative recovery was uneventful. Histopathological examination and confrmatory immunohistochemistry played a crucial role in reaching the fnal diagnosis of an intracerebral temporal schwannoma, highlighting the diagnostic challenges posed by radiologically indistinguishable features from metastasis and gliomas. Despite these challenges, complete surgical removal remains the most preferred treatment option, resulting in a favorable long-term prognosis without the need for adjuvant or neoadjuvant chemotherapy. Intracerebral schwannomas are exceedingly rare brain tumors, often found on the brain’s surface or adjacent ventricles. Early and accurate diagnosis can be challenging due to radiological features overlapping with other intracranial pathologies. Nonetheless, histopathological examination and immunohistochemistry remain indispensable tools in establishing a defnitive diagnosis and guiding efective treatment strategies. With complete surgical excision, patients with intracerebral schwannomas can expect a positive outcome and a promising long-term prognosis. Further research and case studies are warranted to enhance our understanding of these rare tumors and improve patient outcomes

Dynamic hydrological modeling in drylands with TRMM based rainfall

This paper introduces and evaluates DryMOD, a dynamic water balance model of the key hydrological process in drylands that is based on free, public-domain datasets. The rainfall model of DryMOD makes optimal use of spatially disaggregated Tropical Rainfall Measuring Mission (TRMM) datasets to simulate hourly rainfall intensities at a spatial resolution of 1-km. Regional-scale applications of the model in seasonal catchments in Tunisia and Senegal characterize runoff and soil moisture distribution and dynamics in response to varying rainfall data inputs and soil properties. The results highlight the need for hourly-based rainfall simulation and for correcting TRMM 3B42 rainfall intensities for the fractional cover of rainfall (FCR). Without FCR correction and disaggregation to 1 km, TRMM 3B42 based rainfall intensities are too low to generate surface runoff and to induce substantial changes to soil moisture storage. The outcomes from the sensitivity analysis show that topsoil porosity is the most important soil property for simulation of runoff and soil moisture. Thus, we demonstrate the benefit of hydrological investigations at a scale, for which reliable information on soil profile characteristics exists and which is sufficiently fine to account for the heterogeneities of these. Where such information is available, application of DryMOD can assist in the spatial and temporal planning of water harvesting according to runoff-generating areas and the runoff ratio, as well as in the optimization of agricultural activities based on realistic representation of soil moisture conditions

Lichen biomonitoring of airborne trace elements in the industrial-urbanized area of eastern algiers (Algeria)

International audienceThis study established a comprehensive picture of airborne metal pollution in the industrial urbanized area of the East of Algiers (Algeria). Thalli of the epiphytic lichen Pseudevernia furfuracea were transplanted from a remote unpolluted forest (Theniet El-Had) to eighteen biomonitoring sites in the Rouiba−Reghaia region exhibiting contrasting anthropogenic activities, including the wooded Reghaia Nature Reserve. Thirty-three metals and rare earths, and Br in lichen thalli were determined after 3 months exposure by X-ray fluorescence and instrumental neutron activation analysis. All biomonitored element concentrations exhibited dramatic increases compared to the control region, and calculation of contamination factor index unveiled that Sb, Pb, Ti, V, Ce, La, Ga, Cr, Cs, Cu, and Cd had the highest contamination levels in almost all the study sites. The degree of ambient pollution was assessed using enrichment factor, pollution load index, cluster analysis, and principal components analysis. A multiple correspondence analysis showed Pb, Sb, and Ga to be highly enriched with heavy contamination in all study sites, even in the Reghaia Nature Reserve