Diffuse osteolytic lesions in leukemic transformation of myelofibrosis

Myelofibrosis is a clonal myeloproliferative disorder characterized by splenomegaly, abnormal deposition of reticulin and collagen in the bone marrow, extramedullary hematopoiesis, dacryocytosis and leukoerythroblastic blood smear. Development and sustainment of fibrosis are mediated by complex network of several cytokines. Osteosclerosis is the most frequently observed bone change in myelofibrosis. We present an atypical case of leukemic transformation in myelofibrosis associated with diffuse osteolytic lesions and extremely elevated lactate dehydrogenase in serum, which indicates high bone turnover during leukemic infiltration and bone destruction

Going deeper in hidden sadness recognition using spontaneous micro expressions database

Recognition of facial micro-expressions (MEs), which indicates conscious or unconscious suppressing of true emotions, is still a challenging task in the affective computing and computer vision. There are two main reasons for that: First, the lack of spontaneous MEs databases, preferably focused on one emotion. So far, posed facial MEs databases were developed, and in the most cases, machines were trained on this posed MEs, which are stronger and more visible than spontaneous ones. Second, in order to achieve high recognition rate, deep learning structures are required that can achieve the best performance with very large number of data. To address these challenges, we make the following contributions: (i) extension of our MEs spontaneous database by adding new subjects; (ii) We analysed spontaneous MEs in long videos only for hidden sadness; (iii) We presented deeper analysis for automatic hidden sadness detection algorithm with deep learning architecture and compared results with standard machine learning techniques for hidden sadness detection. It is shown that with our method 99.08% recognition performance has been achieved observing only the eye region of the face

Expression Of The Bcl2 Gene In Chronic Lymphocytic Leukaemia Patients

Chronic lymphocytic leukaemia (CLL) manifests as clonal expansion of mature B lymphocytes, whose accumulation is primarily attributed to the dysregulation of apoptosis. Aberrant expression, as well as genetic alterations within various Bcl2 family members and central regulators of the intrinsic, mitochondria-mediated apoptotic pathway all hasve been observed in CLL. Here, we report the expression analysis of the anti-apoptotic Bcl2 gene in a cohort of 58 CLL patients. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) analysis revealed a significant overexpression of Bcl2 mRNA in CLL samples compared to control samples (p=<0.001). Receiver operating characteristic (ROC) analysis showed that the level of Bcl2 expression exerts a high discriminatory power between patients and healthy subjects (A=0.98, 95% CI=0.95-1.009, p<0.0001)

The role of FasR/FasL system in pathogenesis of myeloprolyferative neoplasms

Mijeloproliferativne neoplazije (MPN) su hematološki maligniteti koji se karakterišu nekontrolisanom ćelijskom proliferacijom i poremećajem u procesu apoptoze. Sistem FasR/FasL je uključen u kontrolu apoptoze u različitim tipovima ćelija. U ovom radu je izučavana uloga sistema FasR/FasL u patogenezi mijeloproliferativnih neoplazija. Upoređena je ekspresija FasR i FasL između pacijenata sa MPN (24) i zdravih kontrola korišćenjem metode 'real-time' PCR. Detektovana je povećana ekspresija FasR kod pacijenata sa MPN. Nije utvrđena razlika u ekspresiji FasL. Mutacija B617F u JAK2 genu, karakteristična za MPN, je nađena kod 13 od 24 pacijenta. Pokazano je da ekspresija FasR i FasL nije povezana sa prisustvom B617F JAK2 mutacije.Myeloproliferative neoplasms (MPN) are hematological malignancies characterized by uncontrolled cell proliferation and impaired apoptosis. The FasR/FasL system is involved in the control of apoptosis in different cell types. Here we have investigated the role of FasR/FasL in the pathogenesis of MPNs. We compared FasR/FasL expression between MPN patients (24) and healthy individuals using the real-time PCR assay. We found an increase of FasR expression in MPN patients. No difference was detected in FasL expression. Mutation V617F in the JAK2 gene, a hallmark of MPN, was detected in 13/24 patients. We found that neither FasR nor FasL expression were related to the presence of JAK2 V617F mutation

Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop

International audienceThe deployment of novel technologies in the field of precision farming has risen to the top of global agendas in response to the impact of climate change and the possible shortage of resources such as water and fertilizers. The present research addresses the performance of water and nitrogen-sensitive narrow-band vegetation indices to evaluate the response of sweet maize (Zea mays var. saccharata L.) to different irrigation and nitrogen regimes. The experiment was carried out in Valenzano, Bari (Southern Italy), during the 2020 growing season. Three irrigation regimes (full irrigation, deficit irrigation, and rainfed) and two nitrogen levels (300 and 50 kg ha−1) were tested. During the growing season, a Field Spec Handheld 2 spectroradiometer operating in the range of 325–1075 nm was utilized to capture spectral data regularly. In addition, soil water content, biometric parameters, and physiological parameters were measured. The DATT index, based on near-infrared and red-edge wavelengths, performed better than other indices in explaining the variation in chlorophyll content, whereas the double difference index (DD) showed the greatest correlation with the leaf–gas exchange. The modified normalized difference vegetation index (NNDVI) and the ratio of water band index to normalized difference vegetation index (WBI/NDVI) showed the highest capacity to distinguish the interaction of irrigation x nitrogen, while the best discriminating capability of these indices was under a low nitrogen level. Moreover, red-edge-based indices had higher sensitivity to nitrogen levels compared to the structural and water band indices. Our study highlighted that it is critical to choose proper narrow-band vegetation indices to monitor the plant eco-physiological response to water and nitrogen stresses