94 research outputs found

    Primary Plasmacytoma of The Testis with no Evidence of Multiple Myeloma: a New Case Report and Literature Review

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    Plasmacytomas of the testis are extremely rare tumours, especially when occurring in the absence of a previous or concurrent diagnosis of multiple myeloma. We report a new case of solitary testicular plasmacytoma, with immunohistochemical studies showing monoclonal cytoplasmic production of IgG lambda light chains, in a 51-year-old man who had no evidence of multiple myeloma 3 years after the orchiectomy.Key Words: Testis, plasmacytoma, multiple myelom

    DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models

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    Understanding how proteins structurally interact is crucial to modern biology, with applications in drug discovery and protein design. Recent machine learning methods have formulated protein-small molecule docking as a generative problem with significant performance boosts over both traditional and deep learning baselines. In this work, we propose a similar approach for rigid protein-protein docking: DiffDock-PP is a diffusion generative model that learns to translate and rotate unbound protein structures into their bound conformations. We achieve state-of-the-art performance on DIPS with a median C-RMSD of 4.85, outperforming all considered baselines. Additionally, DiffDock-PP is faster than all search-based methods and generates reliable confidence estimates for its predictions. Our code is publicly available at https://github.com/ketatam/DiffDock-PP\texttt{https://github.com/ketatam/DiffDock-PP}Comment: ICLR Machine Learning for Drug Discovery (MLDD) Workshop 202

    Spontaneous bladder rupture diagnosis based on urinary appearance of mesothelial cells: a case report

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    Introduction. Spontaneous bladder rupture is an extremely rare clinical event that is associated with urinary ascites and apparent acute renal failure. This event is difficult to diagnose clinically, even with advanced techniques such as computed tomography; however, the timely diagnosis of this condition is critical. Here, we report a case of a patient who experienced a spontaneous intraperitoneal bladder rupture 10 years after postoperative pelvic irradiation for the treatment of uterine cancer. In this report of a rare case, we describe the contribution of the appearance of mesothelial cells in the urine to the diagnosis of this condition. Case presentation. Our patient was a 71-year-old Asian woman who experienced lower abdominal pain and vomiting of two days duration. On admission, abdominal computed tomography showed intraperitoneal fluid collection and her blood tests revealed acute renal failure and hyperkalemia. She underwent hemodialysis and a transurethral catheter was inserted. The transurethral catheter was removed three days after her admission. Four days after the catheter removal, her symptoms recurred and her serum creatinine and blood urea nitrogen levels were elevated. We noted the presence of mesothelial cells in her urine, which led to a diagnosis of intraperitoneal bladder rupture. She underwent surgical repair of her bladder and hyperbaric oxygen therapy, and was discharged after her renal function returned to normal. Conclusion: Urine analysis is a simple and non-invasive test and we believe that a thorough urine analysis may contribute to the early diagnosis of an intraperitoneal bladder rupture. We think that the findings presented in this case report will significantly enhance our understanding of the etiology of bladder rupture. Moreover, these case findings may help nephrologists and urologists to rapidly diagnose this condition

    Epistasis and genotype-by-environment interaction of grain protein content in durum wheat

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    Parental, F1 , F 2 , BC 1 and BC 2 generations of four crosses involving four cultivars of durum wheat (Triticum durum Desf.) were evaluated at two sites in Tunisia. A three-parameter model was found inadequate for all cases except crosses Chili x Cocorit 71 at site Sidi Thabet and Inrat 69 x Karim at both sites. In most cases a digenic epistatic model was sufficient to explain variation in generation means. Dominance effects (h) and additive x additive epistasis (i) (when significant) were more important than additive (d) effects and other epistatic components. Considering the genotype-by-environment interaction, the non-interactive model (m, d, h, e) was found adequate. Additive variance was higher than environmental variance in three crosses at both sites. The estimated values of narrow-sense heritability were dependent upon the cross and the sites and were 0%-85%. The results indicate that appropriate choice of environment and selection in later generations would increase grain protein content in durum wheat

    Fibrocytes and the tissue niche in lung repair

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    Human fibrocytes are bone marrow-derived mesenchymal progenitor cells that express a variety of markers related to leukocytes, hematopoietic stem cells and a diverse set of fibroblast phenotypes. Fibrocytes can be recruited from the circulation to the tissue where they further can differentiate and proliferate into various mesenchymal cell types depending on the tissue niche. This local tissue niche is important because it modulates the fibrocytes and coordinates their role in tissue behaviour and repair. However, plasticity of a niche may be co-opted in chronic airway diseases such as asthma, idiopathic pulmonary fibrosis and obliterative bronchiolitis. This review will therefore focus on a possible role of fibrocytes in pathological tissue repair processes in those diseases

    Beryllium diffusion mechanisms in InGaAs compounds grown by gas source molecular beam epitaxy

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    The redistribution of the p-type dopant Be during the post-growth rapid thermal annealing in InGaAs layers grown by gas source molecular beam epitaxy has been studied using secondary ion mass spectrometry technique. The experimental structures consisted of a 2000 Å Be-doped (3×1019cm33\times 10^{19}\,{\rm cm^{-3}}) In0.53Ga0.47As\rm In_{0.53}Ga_{0.47}As layer sandwiched between 5000 Åundoped In0.53Ga0.47As\rm In_{0.53}Ga_{0.47}As layers. To explain the observed depth profiles, obtained for annealing cycles with time durations of 10 to 240 s and temperatures in the range of 700-900C\rm 900 {}^\circ C, two models of kick-out mechanism, with neutral and singly positively ionized Be interstitial species, have been considered

    A comprehensive study of beryllium diffusion in InGaAs using different forms of kick-out mechanism

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    Be diffusion during post-growth annealing has been investigated in InGaAs epitaxial layers. Kick-out mechanisms considering species charges, built-in electric field and Fermi-level effect have been studied. Several forms of kick-out mechanism have been implemented in our simulation programs. Experimental concentration profiles obtained by SIMS analysis have been compared systematically with the numerical results of simulations. We have deduced that the kick-out mechanism Bei0 ↔ Bes− + IIII+ is the dominating diffusion mechanism in InGaAs under our experimental conditions (C0 = 3 × 19 cm−3). With our experimental data, we have found that the effective diffusion coefficient values are D = (7.7−9) × 10−13 cm2 s−1 at T = 700 °C and D = (1.4−1.5) × 10−11 cm2 s−1 at T = 800 °C which is several orders of magnitude higher than most published data. A possible explanation would be the effect of V/III flux ratio

    The modeling of beryllium diffusion in InGaAsP layers grown by GSMBE under nonequilibrium conditions

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    This study reports on Be diffusion in InGaAsP layers grown by gas source molecular beam epitaxy. The experimental structures consisted of a 2000 Å Be-doped (3 × 109 cm−3) In0.73Ga0.27As0.58P0.42 layer sandwiched between two 5000 Å undoped In0.73Ga0.27As0.58P0.42 layers. The samples were subjected to rapid thermal annealing in the temperature range from 700 to 900 °C with time durations of 10 to 240 s. Secondary ion mass spectrometry was employed for a quantitative determination of the Be depth profiles. Concentration profiles of Be in InGaAsP have been simulated according to two kick-out models: the first model involving neutral Be interstitials and singly positively charged Ga, In self-interstitials, and the second model involving singly positively charged Be interstitials and doubly positively charged Ga, In self-interstitials. Comparison with experimental data shows that the first kick-out model gives a better description
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