4,024 research outputs found

    Primary squamous cell carcinoma of renal parenchyma: A case report and literature review

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    RationalePrimary renal parenchymal squamous cell carcinoma (SCC) is an extremely rare tumor that is difficult to diagnose by hematology and imaging studies and is often diagnosed later than other primary renal cancers.DiagnosisA 52-year-old male patient was found to have cysts in both kidneys for 1 week. No urgency and frequency of urination, no dysuria, no gross hematuria, and no significant changes in recent body weight were reported.InterventionsThe upper pole of the right kidney is a cystic and solid mass (8.3 cm * 8.2 cm * 8.1 cm), the cystic part has long T1 and long T2 signals, the solid part has mixed signals, and some parts have limited diffusion. There were nodular long T1 and short T2 calcification signals. An enhanced scan of the solid part showed uneven enhancement and continuous enhancement of the mass capsule. Cystic renal cancer was considered because of the multiple cysts in both kidneys. Surgical treatment was performed. Postoperative pathology revealed well-differentiated squamous cell carcinoma of the right kidney with cystic degeneration, 8.5 cm * 6 cm in size, infiltrating the renal parenchyma, and the cutting edge was negative. The pathological stage was pT2bN0M0.OutcomeAt the follow-up 5 months after the operation, no metastasis was found.ConclusionRenal SCC is rare and easily misdiagnosed and missed. Pathological diagnosis is still the gold standard for its diagnosis. However, with active surgical treatment, the short-term prognosis of the patient is good

    Metal Recovery from Sludge through the Combination of Hydrothermal Sulfidation and Flotation

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    AbstractThe heavy metal in the waste can react with sulfur and be converted to metal sulfide through the hydrothermal sulfidation. For metal recovery, the synthetic metal sulfide can be enriched through subsequent flotation process. It is a novel way for the recovery of heavy metal from the sludge. In this study, the effects of liquid/solid ratio, mineralizer concentration, precursor concentration and dosage of sulfur on the sulfidation extent and floatation index were investigated. Result shows that with a precursor concentration of 15%, a Zn/S molar ratio of 1:1.2, a liquid/solid ratio of 3:1, the sulfidation extent of zinc in the sludge was greater than 92%, while the flotation recovery of zinc reached up to 45.34%. The toxicity characteristic leaching procedure (TCLP) revealed that stabilization and detoxification of heavy metals occurred during sulfidation

    A Cosmology-Independent Calibration of Gamma-Ray Burst Luminosity Relations and the Hubble Diagram

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    An important concern in the application of gamma-ray bursts (GRBs) to cosmology is that the calibration of GRB luminosity/energy relations depends on the cosmological model, due to the lack of a sufficient low-redshift GRB sample. In this paper, we present a new method to calibrate GRB relations in a cosmology-independent way. Since objects at the same redshift should have the same luminosity distance and since the distance moduli of Type Ia supernovae (SNe Ia) obtained directly from observations are completely cosmology independent, we obtain the distance modulus of a GRB at a given redshift by interpolating from the Hubble diagram of SNe Ia. Then we calibrate seven GRB relations without assuming a particular cosmological model and construct a GRB Hubble diagram to constrain cosmological parameters. From the 42 GRBs at 1.4<z6.61.4<z\le6.6, we obtain ΩM=0.250.05+0.04\Omega_{\rm M}=0.25_{-0.05}^{+0.04}, ΩΛ=0.750.04+0.05\Omega_{\Lambda}=0.75_{-0.04}^{+0.05} for the flat Λ\LambdaCDM model, and for the dark energy model with a constant equation of state w0=1.050.40+0.27w_0=-1.05_{-0.40}^{+0.27}, which is consistent with the concordance model in a 1-σ\sigma confidence region.Comment: 7 pages, 3 figures, 1 table, now matches the editorially revised version; accepted for publication in ApJ (vol 685)

    The experience of long-stay patients in a forensic psychiatric hospital in China: a qualitative study

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    open access articleBackground Long stay in forensic psychiatric hospitals is common in patients who are defined as “not criminally responsible on account of mental disorder”. However, little is known about how these patients experience and perceive the long stay within these settings. The aim of this study is to explore the perception and needs of long-stay patients in forensic psychiatric hospitals in China. Methods In-depth semi-structured interviews were conducted with 21 participants who had lived in the forensic psychiatry hospital for more than 8 years. We used thematic analysis strategies to analyse the qualitative data. Results Participants’ perceptions clustered seven themes: hopelessness, loneliness, worthlessness, low mood, sleep disturbances, lack of freedom, and lack of mental health intervention. Conclusions The views and opinions expressed by long-stay patients showed that psychological distress is prevailing in forensic psychiatric hospitals. Adequate and effective care and mental health interventions are recommended to be tailored for their special needs

    Ferroptosis Holds Novel Promise in Treatment of Cancer Mediated by Non-coding RNAs

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    Ferroptosis is a newly identified form of regulated cell death that is associated with iron metabolism and oxidative stress. As a physiological mechanism, ferroptosis selectively removes cancer cells by regulating the expression of vital chemical molecules. Current findings on regulation of ferroptosis have largely focused on the function of non-coding RNAs (ncRNAs), especially microRNAs (miRNAs), in mediating ferroptotic cell death, while the sponging effect of circular RNAs (circRNAs) has not been widely studied. In this review, we discuss the molecular regulation of ferroptosis and highlight the value of circRNAs in controlling ferroptosis and carcinogenesis. Herein, we deliberate future role of this emerging form of regulated cell death in cancer therapeutics and predict the progression and prognosis of oncogenesis in future clinical therapy.publishedVersio

    Pengaruh Penerapan Strategi Concept Mapping terhadap Hasil Belajar Siswa di Sekolah Dasar

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    This study aimed to analyze the influence of concept mapping strategy towards the learning result students in social science study on the V B grade of SD Negeri 17 Pontianak Kota. This study used an experimental method with Pre-Experimental design form using One-Group Pretest-Posttest Design. The population in this research were 68 students. The samples in this research was V B as a research class. Based on the t-test, the calculation result obtained t test (7,29) > t table (1,699) with significance level α = 5% means a significant influence using concept mapping strategy. The value of effect size (ES) is 0.39 with moderate category. It means that concept mapping strategy give a moderate effect to the learning result students in social science study on the V B grade of SD Negeri 17 Pontianak Kota

    Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network

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    Electromagnetic source imaging (ESI) requires solving a highly ill-posed inverse problem. To seek a unique solution, traditional ESI methods impose various forms of priors that may not accurately reflect the actual source properties, which may hinder their broad applications. To overcome this limitation, in this paper a novel data-synthesized spatio-temporally convolutional encoder-decoder network method termed DST-CedNet is proposed for ESI. DST-CedNet recasts ESI as a machine learning problem, where discriminative learning and latent-space representations are integrated in a convolutional encoder-decoder network (CedNet) to learn a robust mapping from the measured electroencephalography/magnetoencephalography (E/MEG) signals to the brain activity. In particular, by incorporating prior knowledge regarding dynamical brain activities, a novel data synthesis strategy is devised to generate large-scale samples for effectively training CedNet. This stands in contrast to traditional ESI methods where the prior information is often enforced via constraints primarily aimed for mathematical convenience. Extensive numerical experiments as well as analysis of a real MEG and Epilepsy EEG dataset demonstrate that DST-CedNet outperforms several state-of-the-art ESI methods in robustly estimating source signals under a variety of source configurations.Comment: 15 pages, 14 figures, and journa
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