The Challenge of Diagnosing Acute Myeloid Leukemia or Blastic Plasmacytoid Dendritic Cell Neoplasm: A Case Report.

Background/aim: Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and highly aggressive hematologic cancer which is difficult to diagnose and has a lot of overlapping features with other diseases, particularly acute myeloid leukemia (AML). BPDCN shares several immunophenotypic markers with AML, such as CD4, CD56, CD123, and HLA-DR, stating the importance of having extending panel of specific immunohistochemical (IHC) markers.

Case Report: This report details a case of CLL who presented with worsening symptoms of recurrent infections and leukocytosis.

The impact of mental health conditions on clinical and functional outcomes after shoulder arthroplasty: a systematic review.

Background: Shoulder arthroplasty (SA) has been shown to improve quality of life, though outcomes may vary between individuals. Multiple factors may affect outcomes, including preoperative mental health conditions (MHCs). The goal of this systematic review was to evaluate the clinical and functional outcomes after SA in patients with MHC compared to patients without MHC.

Effectiveness of Lactoferrin in the Treatment of Anemia in Chronic Kidney Disease: A Single-Center Pilot Study.

Background: Anemia occurs in majority of patients with chronic kidney disease despite adequate dialysis and iron replete status. This study was done to evaluate the effects of lactoferrin with or without iron supplementation for the treatment of anemia in patients with chronic kidney disease (CKD).

Materials And Methods: In this prospective, observational, single-center, single-arm pilot study, adult patients aged >18 years, having stage 5 CKD (estimated glomerular filtration rate [eGFR] <15 ml/min/1.

Preventing Iatrogenic Injury to the Vertebral Artery in Cervical Spine Surgery: A Case Report.

Summary Of Background Data: Iatrogenic injury of the vertebral artery (VA) in the context of surgical approaches to the cervical spine has been cited as a relatively rare complication with varying degrees of severity ranging from minimal injury to acute stroke and can result in death. It is estimated that ~50% of cases of iatrogenic VA injury are preventable after postoperatively examining a patient's preoperative imaging. Despite the low incidence (<2%) of this complication, the potential associated morbidity demonstrates the importance of meticulous preoperative vascular consideration.

Role of Biplane Double-Supported Screw Fixation (BDSF) in Management of Fracture Neck Femur and Its Comparison with Conventional CC Screw Fixation.

Background: The aim of this study is to evaluate comparative biomechanical fixation provided with the BDSF method with the conventional CC screw fixation for treatment of femoral neck fractures with three parallel cannulated screws.

Methods: This is a prospective cohort study. There were two teams of surgeons out of which one team operated the patients with BDSF technique and second with conventional CC screw fixation technique; thus, the patients were randomly distributed into two groups.

Enriching Surface-Accessible CO in the Zero-Gap Anion-Exchange-Membrane-Based CO Electrolyzer.

Zero-gap anion exchange membrane (AEM)-based CO electrolysis is a promising technology for CO production, however, their performance at elevated current densities still suffers from the low local CO concentration due to heavy CO neutralization. Herein, via modulating the CO feed mode and quantitative analyzing CO utilization with the aid of mass transport modeling, we develop a descriptor denoted as the surface-accessible CO concentration ([CO ] ), which enables us to indicate the transient state of the local [CO ]/[OH ] ratio and helps define the limits of CO -to-CO conversion. To enrich the [CO ] , we developed three general strategies: (1) increasing catalyst layer thickness, (2) elevating CO pressure, and (3) applying a pulsed electrochemical (PE) method.

A case report and first-person account of an individual at risk for psychosis who improved during the COVID-19 pandemic.

Background: The COVID-19 pandemic is expected to increase stress and mental health symptoms. We present the case of a young man at risk for psychosis who has paradoxically shown symptomatic and functional improvement as a result of circumstances produced by COVID-19. These changes were unexpected given the client's persistent mental health struggles in the year leading up to the COVID-19 outbreak in the United States and the expectation of an exacerbation of psychotic-like symptoms.

Urea-Functionalized Silver Catalyst toward Efficient and Robust CO Electrolysis with Relieved Reliance on Alkali Cations.

We report a new strategy to improve the reactivity and durability of a membrane electrode assembly (MEA)-type electrolyzer for CO electrolysis to CO by modifying the silver catalyst layer with urea. Our experimental and theoretical results show that mixing urea with the silver catalyst can promote electrochemical CO reduction (COR), relieve limitations of alkali cation transport from the anolyte, and mitigate salt precipitation in the gas diffusion electrode in long-term stability tests. In a 10 mM KHCO anolyte, the urea-modified Ag catalyst achieved CO selectivity 1.

ANN Assisted-IoT Enabled COVID-19 Patient Monitoring.

COVID-19 is an extremely dangerous disease because of its highly infectious nature. In order to provide a quick and immediate identification of infection, a proper and immediate clinical support is needed. Researchers have proposed various Machine Learning and smart IoT based schemes for categorizing the COVID-19 patients.

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding.

Machine reading (MR) is essential for unlocking valuable knowledge contained in millions of existing biomedical documents. Over the last two decades, the most dramatic advances in MR have followed in the wake of critical corpus development. Large, well-annotated corpora have been associated with punctuated advances in MR methodology and automated knowledge extraction systems in the same way that ImageNet was fundamental for developing machine vision techniques.

Multi-objective optimization of thermophysical properties of multiwalled carbon nanotubes based nanofluids.

The experimental determination of thermophysical properties of nanofluid (NF) is time-consuming and costly, leading to the use of soft computing methods such as response surface methodology (RSM) and artificial neural network (ANN) to estimate these properties. The present study involves modelling and optimization of thermal conductivity and viscosity of NF, which comprises multi-walled carbon nanotubes (MWCNTs) and thermal oil. The modelling is performed to predict the thermal conductivity and viscosity of NF by using Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

Cardiac injury in organophosphate poisoning after acute ingestion.

Introduction: Sparse data and conflicting evidence exist on the prevalence and prognosis of organophosphate (OP)-related cardiac toxicity. We aimed to characterize the cardiac abnormalities of OP after an acute cholinergic crisis in adults without previous cardiovascular conditions.

Patients And Methods: We did a prospective observational study in a tertiary-care hospital of north India (Postgraduate Institute of Medical Education and Research, Chandigarh) in 74 patients aged ≥ 13 years admitted with acute OP poisoning after self-ingestion.

Cobalt Electrochemical Recovery from Lithium Cobalt Oxides in Deep Eutectic Choline Chloride+Urea Solvents.

Electrochemical recovery of the cobalt in deep eutectic solvent shows its promise in recycling and recovery of valuable elements from the spent lithium-ion battery due to its high selectivity and minimal environmental impacts. This work unveiled the roles of the substrates, applied potentials, and operating temperatures on the performance of cobalt electrochemical recovery in a deep eutectic choline chloride+urea solvent. The solvent contains cobalt and lithium ions extracted from lithium cobalt oxides - 3an essential lithium-ion battery cathode material.

Understanding the Effects of Anion Interactions with Ag Electrodes on Electrochemical CO Reduction in Choline Halide Electrolytes.

Interactions of electrolyte ions at electrocatalyst surfaces influence the selectivity of electrochemical CO reduction (CO R) to chemical feedstocks like CO. We investigated the effects of anion type in aqueous choline halide solutions (ChCl, ChBr, and ChI) on the selectivity of CO R to CO over an Ag foil cathode. Using an H-type cell, we observed that halide-specific adsorption at the Ag surface limits CO faradaic efficiency (FE ) at potentials more positive than -1.

Negative symptoms and speech pauses in youths at clinical high risk for psychosis.

Aberrant pauses are characteristic of schizophrenia and are robustly associated with its negative symptoms. Here, we found that pause behavior was associated with negative symptoms in individuals at clinical high risk (CHR) for psychosis, and with measures of syntactic complexity-phrase length and usage of determiners that introduce clauses-that we previously showed in this same CHR cohort to help comprise a classifier that predicted psychosis. These findings suggest a common impairment in discourse planning and verbal self-monitoring that affects both speech and language, and which is detected in clinical ratings of negative symptoms.

Privacy-Enhanced Data Fusion for COVID-19 Applications in Intelligent Internet of Medical Things.

With the worldwide large-scale outbreak of COVID-19, the Internet of Medical Things (IoMT), as a new type of Internet of Things (IoT)-based intelligent medical system, is being used for COVID-19 prevention and detection. However, since the widespread use of IoMT will generate a large amount of sensitive information related to patients, it is becoming more and more important yet challenging to ensure data security and privacy of COVID-19 applications in IoMT. The leakage of private information during IoMT data fusion process will cause serious problems and affect people's willingness to contribute data in IoMT.

Modulated Sn Oxidation States over a CuO-Derived Substrate for Selective Electrochemical CO Reduction.

Pursuing high catalytic selectivity is challenging but paramount for an efficient and low-cost CO electrochemical reduction (COR). In this work, we demonstrate a significant correlation between the selectivity of COR to formate and the duration of tin (Sn) electrodeposition over a cuprous oxide (CuO)-derived substrate. A Sn electrodeposition time of 120 s led to a cathode with a formate Faradaic efficiency of around 81% at -1.

Catalyst-Electrolyte Interactions in Aqueous Reline Solutions for Highly Selective Electrochemical CO Reduction.

Invited for this month's cover is the group of Tom Rufford at the University of Queensland. The image shows how choline chloride and urea in a reline solution interact with the surface of a silver cathode to enhance the selectivity of electrochemical CO reduction to CO. The Full Paper itself is available at 10.

Catalyst-Electrolyte Interactions in Aqueous Reline Solutions for Highly Selective Electrochemical CO Reduction.

Achieving high product selectivities is one challenge that limits viability of electrochemical CO reduction (CO R) to chemical feedstocks. Here, it was demonstrated how interactions between Ag foil cathodes and reline (choline chloride + urea) led to highly selective CO R to CO with a faradaic efficiency of (96±8) % in 50 wt % aqueous reline at -0.884 V vs.

Pelvic Mass Lesions in Females: Tissue Characterization Capability of MRI.

Introduction: Magnetic Resonance Imaging (MRI) of adult female pelvis is a well-established tool in the evaluation of utero-ovarian lesions and is often used to supplement ultrasonography. The need for diagnostic surgical intervention has largely been eclipsed with the advent of MRI, which has become the imaging modality of choice for characterization of pelvic masses.

Aim: To assess the role of MRI in female pelvic mass lesions and to exploit the tissue characterization capability of MRI.

Bilateral obturator hernia diagnosed by computed tomography: a case report with review of the literature.

Obturator hernia is a rare form of abdominal hernia and a diagnostic challenge. It is commonly seen in elderly thin females. Its diagnosis is often delayed with resultant increased morbidity and mortality due to bowel ischemia/gangrene.