bluuebunny/crossref_metadata_2025 huggingface dataset:
Establishment and validation of a prediction model for estimating the risk of brain metastasis in patients with small-cell lung cancer
Authors: Hong Xin , Yang Fan , Wang Zhe , Wang Xi-cheng
Published: December 2022

We aimed to identify the predictors of brain metastases (BM) and develop a model to estimate the binary risk of BM in patients with small-cell lung cancer (SCLC). Patients diagnosed with SCLC between 2010 and 2017 were identified from the SEER Database and a logistic regression model was applied to identify the risk factors for BM. Independent predictors were used to establish a BM prediction model, which was evaluated in terms of discrimination, calibration, and clinical usefulness using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curves. The results were validated using an independent cohort. A total of 39,271 patients with SCLC were randomly assigned to the development and validation cohorts. Multivariate logistic regression analysis revealed age, race, number of malignancies, primary site, laterality, chemotherapy, radiotherapy, surgery, liver metastasis, lung metastasis, and bone metastasis as independent risk factors for BM. These factors were used to establish the BM risk prediction model, which was then visualized as a nomogram that showed good predictive accuracy, calibration, and clinical usefulness (development cohort: AUC, 0.715; 95% confidence interval (CI), 0.705–0.725; validation cohort: AUC, 0.706; 95% CI, 0.696–0.716). The new prediction model can better evaluate the risk of BM in patients with SCLC, thus providing a clinical reference value when making decisions regarding prophylactic cranial irradiation.
Hyper Tuning Using Gridsearchcv on Machine Learning Models for Prognosticating Dementia
Authors: J VEERALAGAN. , PRIYA S. MANJU
Published: December 2022

Alzheimer's disease (ASD) is a devastating neurological condition that collectively degenerates a human being's basic cognitive processes (thinking, attention control, etc.) in older adults and finally leading to death. The prognosis of Alzheimer's disease is important because the health decline is caused by its progression; it can be either contained or prevented. Furthermore, detecting Alzheimer's disease early and accurately helps clinicians to offer case-specific medical treatment. Algorithms of machine learning have been widely used in a variety of applications as well as regions. The hyper-parameters of a machine learning model must be tuned to fit it into various problems. Even though there are various automatic optimization approaches available, each has its own set of advantages and disadvantages when applied to different sorts of situations. In this research article, work of GridSearchCV() hyper tuning is used because of its strength and its exhaustive search. The various ML algorithm is tuned with GSCV() and the performance is compared using a number of model checking matrices like Accuracy, Precision, Recall, and F1-Score and concluded which model fits the dataset that is loaded.
Medial prefrontal cortex oxytocin mitigates epilepsy and cognitive impairments induced by traumatic brain injury through reducing neuroinflammation in mice
Authors: Chen Wen , Man Xiaoxiao , Zhang Yu , Yao Guangyan , Chen Jing
Published: December 2022

Traumatic brain injury (TBI) is a major risk factor to develop epilepsy and cognitive impairments. Neuropeptide oxytocin has been previously evidenced to produce antiepileptic effects. However, the involvement of central oxytocin in TBI-induced epileptic status and cognitive dysfunctions is not fully elucidated. In this study, we aim to investigate the role of oxytocin on a TBI model followed by seizure induction to clarify whether the epilepsy and cognitive deficits could be mitigated by oxytocin. TBI was established by weight drop and epileptic behaviors were induced by pentylenetetrazole (PTZ) injection in mice. Moreover, oxytocin was microinjected into the medial prefrontal cortex (mPFC) to observe the effects on the epilepsy and cognition. The blood-brain barrier (BBB) function and the neuroinflammation were measured by Evans Blue staining and enzyme-linked immunosorbent assays, respectively. Mice exposed to TBI demonstrate increased vulnerability to PTZ-mediated seizures and cognitive disturbances with a decrease in peripheral and brain oxytocin levels. Additionally, TBI reduces oxytocin, disrupts the BBB permeability and triggers neuroinflammation in mPFC in PTZ-treated mice. Intra-mPFC oxytocin simultaneously mitigates epilepsy and cognitive impairments. Finally, oxytocin restores BBB integrity and reduces mPFC inflammation in PTZ-treated TBI mice. These findings showed that intra-mPFC oxytocin suppressed the seizure vulnerability and cognitive deficits in TBI mice. The normalization of BBB integrity and inhibition of neuroinflammation may be involved in the antiepileptic and cognition-improved effects of oxytocin, suggesting that targeting inflammatory procedure in mPFC may decrease the risk to develop epilepsy and cognitive impairments in individuals previously experienced TBI.
Carbon Emission-aware and Trusted Multi-tenant, Multi-cloud Storage
Authors: Sharma Aditi , Kaur Parmeet
Published: December 2022

Tenants of service-based model of cloud computing benefit by saving expenditures on installation and maintenance of resources. However, the extensive use of cloud computing has resulted in a huge increase in the energy consumption by cloud data centers. This can have adverse effect on the environment due to the high amount of carbon emission into the atmosphere by the data centres. Therefore, this paper presents a carbon-emission aware strategy to allocate storage to tenants in a multi-cloud system. The proposed strategy prefers to allocate storage in data centres that have low carbon emissions than the ones with high emissions. Further, trust of the tenants in the multi-tenant, multi-cloud system is maintained by building a blockchain for proof of storage allocations. The results of simulation verify that our proposed approach, Multi-Temperature based Data Centre Allocation Algorithm (MTDC) reduces carbon emission in comparison to two standard approaches, Location based DC allocation (LDC) and Green energy-based DC allocation (GDC) while meeting the response time requirements of tenant requests.
Expanding the limits of nuclear stability: Drip lines for hot nuclei
Authors: Ravlić Ante , Yuksel Esra , Nikšić Tamara , Paar Nils
Published: December 2022

Nuclear processes in stellar environment occur at finite temperature, e.g., of the order of 106 kelvin in our Sun, up to 109 kelvin or even higher in core-collapse supernovae and neutron star mergers. The properties of hot nuclei are different than what we know from most of the experimental and theoretical studies, mainly limited to zero temperature. In a simplified picture, hot nucleus is surrounded by a vapor of emitted nucleons, which provides both chemical and mechanical equilibrium. Since it is unknown how many protons and neutrons can be bound together in hot nuclei, it is necessary to determine the limits of nuclear existence (drip lines) at finite temperature. Here we report the first mapping of drip lines for hot nuclei at temperatures up to T = 0 - 2.3×1010 kelvin (0 - 2 MeV), using the relativistic density functional theory supplemented with the particle continuum subtraction method. Surprizing discovery shows that the total number of bound nuclei is larger at high temperatures compared to cold nuclei, due to the thermal quenching of the shell effects. The increase in number of metastable hot nuclei is especially pronounced above N=82, N = 126 and N = 184 shell closures. Potentially, accounting for the properties of hot nuclei could have significant implications for the nuclear processes in astrophysical environments such as supernovae and neutron star mergers.
A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma
Authors: Shojaei Shahla , Basso João , Amereh Meitham , Alizadeh Javad , Dehesh Tania , Rosa Simone da Silva , Clark Courtney , Hasan Misha , Tomczyk Mateusz , Cole Laura , Hatch Grant , Dolinsky Vernon , Pascoe Christopher , Schibli David , Dhingra Sanjiv , Srivast Abhay , Ravandi Amir , Vitorino Rui , Khademhosseini Ali , Ghavami Saeid , Akbari Mohsen
Published: December 2022

Chemoresistance is a major clinical challenge in management of glioblastoma (GBM). Temozolomide (TMZ) is the chemotherapeutic drug of choice for GBM; however, the therapeutic effect of TMZ is limited due to the development of resistance. Recapitulating GBM chemoresistance in a controlled environment is thus essential in understanding the mechanism of chemoresistance. Herein, we present a hybrid microphysiological model of chemoresistant GBM-on-a-chip (HGoC) by directly co-culturing TMZ-resistant GBM spheroids with healthy neurons to mimic the microenvironment of both the tumor and the surrounding healthy tissue. We characterized the model with proteomics, lipidomics, and secretome assays. The results showed that our artificial model recapitulated the molecular signatures of recurrent GBM in humans. Both showed alterations in vesicular transport and cholesterol pathways, mitotic quiescence, and a switch in metabolism to oxidative phosphorylation associated with a transition from mesenchymal to amoeboid. This is the first report to unravel the interplay of all these molecular changes as a mechanism of chemoresistance in glioblastoma. Moreover, we have shown that acquisition of resistance increases invasiveness and the presence of neurons decreases this property.
Temperature Effect on Coagulation Function in Mild Hypothermic Patients Undergoing Thoracic Surgeries: Thromboelastography (TEG) versus Standard Tests
Authors: Hui Shangyi , Zhang Qian , Lang Jiaxin , Yi Jie
Published: December 2022

Purpose
Our previous research has revealed that mild hypothermia leads to excessive bleeding in thoracic surgeries, while the underlying mechanism stayed unrevealed by the standard coagulation tests. The research question in this study was: “How does mild hypothermia impair the hemostatic function in patients receiving thoracic surgeries?”. The purpose was to detect the disturbed coagulation processes by comparing the TEG parameters in patients receiving active vs. passive warming during thoracic surgeries.
Methods
Standard coagulation tests and thromboelastography (TEG) were adopted to compare the hemostatic functions in patients receiving active vs. passive warming during thoracic surgeries. Furthermore, blood samples from passive warming group were retested for TEG at actual core body temperatures.
Results
Sixty-four eligible patients were included in this study. TEG revealed that mild hypothermia significantly disturbed coagulation by decreasing MA (59.4 ± 4.5mm vs. 64.2 ± 5.7mm, p = 0.04) and α angle (70.4 ± 5.2° vs. 74.9 ± 4.4°, p = 0.05), and prolonging ACT(122.2 ± 19.3s vs. 117.3 ± 15.2s, p = 0.01) and K time(1.9 ± 1.0s vs. 1.3 ± 0.4min, p = 0.02). TEGs conducted under core body temperatures revealed more impaired coagulation than those incubated at 37℃. Furthermore, postoperative shivering and waking time were significantly increased in mild hypothermic patients.
Conclusion
Mild hypothermia significantly impaired coagulation function in patients receiving thoracic surgeries, which could be detected by TEGs other than the standard coagulation tests. Temperature-adjusted TEGs may provide a preferable method of hemostatic monitoring and transfusion guidance in thoracic surgeries, which warrants further clinical investigations.
Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome
Authors: Arkin Nurbiya , Wang Yanmei , Wang Le
Published: December 2022

Background: Intraventricular hemorrhage（IVH）is the most common type of brain injury in newborns, especially in newborns with ARDS. IVH can cause brain parenchyma damage and long-term neurological sequelae in children. Early identification and prevention of sequelae are essential. This study aims to establish a predictive nomogram for the early prediction of IVH in newborns with ARDS.
Methods: From 2019 to 2021, we collected data from 222 infants diagnosed with ARDS in the Department of Neonatology, First Affiliated Hospital of Xinjiang Medical University. Infants have been randomly assigned to the training set (n=161) or the validation set(n=61) at a ratio of 7:3. Variables were screened using the Least Absolute Contract and Selection Operator (LASSO) regression to create a risk model for IVH in infants with ARDS. The variables chosen in the LASSO regression model were used to establish the prediction model using multivariate logistic regression analysis.
Results: We recognized 4 variables as independent risk factors for IVH in newborns with ARDS via LASSO analysis, consisting of premature rupture of membranes (PROM), pulmonary surfactant (PS) dosage, PH1 and O21. The C-Index for this dataset is 0.868 (95% CI: 0.837-0.940) and the C index in bootstrap verification is 0.852 respectively. The analysis of the decision curve shows that the model can significantly improve clinical efficiency in predicting IVH. We also provide a website based on the model and open it to users for free, so that the model can be better applied to clinical practice.
Conclusions: In conclusion, the nomogram based on 4 factors shows good identification, calibration and clinical practicability. Our nomographs can help clinicians make clinical decisions, screen high-risk ARDS newborns, and facilitate early identification and management of IVH patients.
Tapered Whisker Reservoir Computing for Real-time Terrain Identification-Based Navigation
Authors: Yu Zhenhua , Sadati S. M. Hadi , Perera Shehara , Hauser Helmut , Childs Peter R.N. , Nanayakkara Thrishantha
Published: December 2022

This paper proposes a new method for real-time terrain recognition-based navigation for mobile robots. Mobile robots performing tasks in unstructured environments need to adapt their trajectories in real-time to achieve safe and efficient navigation in complex terrains. However, current methods largely depend on visual and IMU (inertial measurement units) that demand high computational resources for real-time applications.In this paper, a real-time terrain identification-based navigation method is proposed using an on-board tapered whisker-based reservoir computing (TWRC) system.The nonlinear dynamic response of the tapered whisker was investigated in various analytical and Finite Element Analysis (FEA) frameworks to demonstrate its reservoir computing capabilities.Numerical simulations and experiments were cross-checked with each other to verify that whisker sensors can separate different frequency signals directly in the time domain and demonstrate the computational superiority of the proposed system, and that different whisker axis locations and motion velocities provide variable dynamical response information.Terrain surface-following experiments demonstrated that our system could accurately identify changes in the terrain real-time and adjust its trajectory to stay on a specific terrain.
Electric field induced extrinsic strains in BaTiO3-epoxy nanocomposite: a contact-less mechanical property tailoring smart material
Authors: Mishra Raghvendra Kumar , Li Danning , Chianella Iva , Goel Saurav , Lotfian Saeid , Nezhad Hamed Yazdani
Published: December 2022

Epoxy is an important class of thermosetting material which have been used in many fields such as aerospace, automobile, and energy sectors. Cured epoxy, however, exhibits poor resistance to crack initiation and growth, thus exhibiting low toughness and brittleness at failure. To improve the mechanical properties, epoxy matrix in polymer composites has been modified by various techniques such as the inclusion of a second phase (e.g., core-shell rubber, thermoplastics or nanofillers) which has demonstrated improved toughness and impact resistance. Very few studies have focused on offering an ‘active toughening’ mechanism in which an increase in toughness and strength is achieved via remote field stimulation such as magnetic, electric or electromagnetic forces. In this study, aerospace grade epoxy resin modified with tetragonal barium titanate (BaTiO3) nanoparticles has been prepared, and its mechanical response has been studied under electric field stimulations. The BaTiO3 nanoparticles have been functionalised with silane coupling agents and dispersed uniformly in epoxy Araldite LY1564 at different content loads (1, 5, 10 wt.%), a diglycidyl ether of bisphenol A (DGEBA) associated with its curing agent Aradur 3487. Several test coupons have been fabricated from such modified epoxy. Real-time in-situ Raman spectroscopy measurement has been conducted on the nanocomposites equipped with electric fields. The results provide a quantitative description of Raman peaks and their intensity variations under the electric field application. The variation of mechanical properties under the application of such fields has also been investigated and analysed alongside the Raman data. The failure stress and strain in the nanocomposites at all BaTiO3 contents examined have been improved in the presence of such fields. The tensile modulus has been increased with the increasing field strength in the 1 wt.% nanocomposites while reduced in the case of 5 and 10 wt.% in the presence of the field. The Raman data have shown a consistent trend of increasing intensity and peaks broadening under the increasing electric field strength and BaTiO3 contents, which is attributed to the softening effect by BaTiO3’s dipolar displacement in the high-content nanocomposites (i.e., 5 and 10 wt.%) which dominates the stiffening trend induced by the electric fields, and observed in the 1 wt.% samples. The mechanism provides an effective route for remote mechanical property tailoring.
Mechanical characterization of FDM parts through instrumented flat indentation
Authors: Lambiase Francesco , Scipioni Silvia Ilaria , Paoletti Alfonso
Published: December 2022

Evaluating local mechanical properties of parts made by Additive Manufacturing processes can improve the deposition conditions. This study proposes a non-destructive characterization test to determine the mechanical behavior of fused deposition modeling (FDM) components. Indentation and compression tests were conducted on samples produced by the FDM process, which were produced by varying the material flow during the deposition. An empirical relationship was determined between yield strength determined through compression and indentation tests. R2 = 0.92 characterized the correlation between the compression and indentation test. The results indicated that both the yield strength measured through compression tests and that measured by the indentation tests increased linearly with the density of the components. Indentation tests provided more insights concerning the tested surface's local characteristics than the compression test.
Certain properties and radius problems for a class ofharmonic mappings defined by an operator
Authors: M Manivannan
Published: December 2022

The geometrical properties of a planar harmonic mapping are stronglyinfluenced by the holomorphic part of the harmonic mapping in the open unitdisc D. The properties of the operator ψ[f](z) = f(z)+f′(z) − 1 for normalisedholomorphic functions in D are studied in this article. We calculate radius offully starlikeness and fully convexity of order α are related to ψ[f](z). We also study closure of certain subclasses of Harmonic functions under convexcombinations.
Determining Mortality Likelihood of Opioid Drug Combinations using Decision Tree Analysis
Authors: Schumaker Robert P. , Veronin Michael A. , Dixit Rohit R.
Published: December 2022

The opioid epidemic is taxing medical infrastructure in terms of patient care and costs. Being able to prioritize care based on expected outcomes could improve patient safety and reduce costs. To investigate, we constructed a decision tree to examine what opioids in conjunction with heroin were most likely to lead to patient death versus their ability to survive. Our model demonstrated that heroin and fentanyl contributed to 77.60% of patient deaths, however, when heroin and fentanyl combinations included oxycodone, patient deaths decreased to 34.78% versus an increase to 81.94% without oxycodone. We speculate that patients already taking oxycodone have built a resistance to opioids allowing them to better survive. Patients taking heroin and fentanyl without oxycodone were more likely to experience cardiac, toxicity and respiratory symptoms whereas these symptoms decreased with the addition of oxycodone.
Monopogen: single nucleotide variant calling from single cell sequencing
Authors: Dou Jinzhuang , Tan Yukun , Kock Kian Hong , Wang Jun , Cheng Xuesen , Tan Le Min , Han Kyung Yeon , HON Chung Chau , Park Woong-Yang , Shin Jay W , Chen Han , Prabhakar Shyam , Navin Nicholas , Chen Rui , Chen Ken
Published: December 2022

Distinguishing how genetics impact cellular processes can improve our understanding of variable risk for diseases. Although single-cell omics have provided molecular characterization of cell types and states on diverse tissue samples, their genetic ancestry and effects on cellular molecular traits are largely understudied. Here, we developed Monopogen, a computational tool enabling researchers to detect single nucleotide variants (SNVs) from a variety of single cell transcriptomic and epigenomic sequencing data. It leverages linkage disequilibrium from external reference panels to identify germline SNVs from sparse sequencing data and uses Monovar to identify novel SNVs at cluster (or cell type) levels. Monopogen can identify 100K~3M germline SNVs from various single cell sequencing platforms (scRNA-seq, snRNA-seq, snATAC-seq etc), with genotyping accuracy higher than 95%, when compared against matched whole genome sequencing data. We applied Monopogen on human retina, normal breast and Asian immune diversity atlases, showing that that derived genotypes enable accurate global and local ancestry inference and identification of admixed samples from ancestrally diverse donors. In addition, we applied Monopogen on ~4M cells from 65 human heart left ventricle single cell samples and identified novel variants associated with cardiomyocyte metabolic levels and epigenomic programs. In summary, Monopogen provides a novel computational framework that brings together population genetics and single cell omics to uncover genetic determinants of cellular quantitative traits.
Hydrazine-Induced Synthesis of CdS Nanorings for the Application in Photodegradation
Authors: Li Haixin , Zheng Chaofan , Wang Zhen , Xu Qingfeng , Meng Fanshuang , Bai Zijun , Yue Wenjin , Nie Guangjun
Published: December 2022

In this paper, CdS nanorings synthesized by facile hydrazine-induced microwave method for the photodegradation of pollutants has been reported for the first time. Different reaction method, microwave power, the category and dosage of pH regulating reagent, reaction temperature and reaction time were investigated. The formation of CdS nanorings from the self-assembly of nanoparticles was attributed to the coordination of hydrazine producing the dipole-dipole interaction among the uniform nanoparticles obtained by microwave method. The crystal phase, composition, morphology and surface property of CdS nanorings were characterized. The results showed that 100 nm-sized wurtzite CdS nanorings with positive surface charges formed by the self-assembly of 5–8 nm nanoparticles, which presented mesoporous structures with maximum pore size of 52 nm. To study the influence of ring-like structures on the photocatalysis, the photodegradation of rhodamine B (RhB) by CdS nanorings and nanoparticles were compared. The results showed that, CdS nanorings displayed higher photodegradation efficiency, which were originated from favorable band edge potential and obviously more effective electron-hole separation producing more superoxide radical and holes as active specifies. The photodegradation path of RhB contains the process as the demethylation, the decarboxylation process, the chromophore cleavage and ring-open reactions. Finally, the available photodegradation of multiple pollutants and reusability of CdS nanorings were carried out.
Cannabidiol/β-cyclodextrin inclusion complex-loaded poly(vinyl alcohol) semi-solid hydrogels for potential use in wound management
Authors: Sangsanoh Pakakrong , Chaiarwut Sonthaya , Choipang Chasuda , Niyompanich Jitti , Suwantong Orawan , Chuysinuan Piyachat , Techasakul Supanna , Lirdprapamongkol Kriengsak , Supaphol Pitt
Published: December 2022

Semi-solid poly(vinyl alcohol) (PVA)-borax hydrogels containing a cannabidiol (CBD)/β-cyclodextrin (β-CD) inclusion complex were prepared and aimed for being used as wound management materials. The inclusion complex was prepared by the co-precipitation method and loaded within PVA semi-solid hydrogels which had various contents of CBD/β-CD inclusion complex (i.e., 0.5%, 1.0%, and 1.5% w/w). The obtained inclusion complexes and their corresponding hydrogels were characterized for their physicochemical properties and mechanical properties. The potential use as wound management of the obtained hydrogels in terms of their release profile, antioxidant activities, antibacterial capabilities, cytotoxicity, and anti-inflammatory efficacy. The CBD/β-CD inclusion complex was successfully prepared, as confirmed by FT-IR, 1H-NMR, XRD, and SEM. The complexation efficiency was 84.73 ± 0.64% and the loading capacity was 32.70 ± 0.32%. The water solubility of CBD was significantly increased to 0.37, which was increased by 16-fold, as compared with that of raw CBD. The cumulatively released amount of CBD from the hydrogels increased with higher amounts of inclusion complex. The prepared hydrogels provided an antibacterial capability with S. aureus and MRSA, while no antibacterial capability was observed for E. coli. However, adding CBD to the hydrogel was beneficial for improving the antioxidant properties of the obtained hydrogels. All the hydrogels loaded with the CBD/β-CD inclusion complex at concentrations below 1.25 mg/mL for the extraction medium were non-cytotoxic towards RAW 264.7 cells and also provided the ability to suppress nitric oxide (NO) production by more than 75% compared with the LPS treated group. These findings suggest a new application for semi-solid PVA-borax hydrogels containing the CBD/β-CD inclusion complex in biomedical applications.
External validation of standardized KELIM and platinum resistant recurrence score in patients with advanced epithelial ovarian cancer
Authors: Oufkir Nina , Rouzier Roman , Paoletti Xavier , Bonneau Claire
Published: December 2022

Background
Neoadjuvant chemotherapy followed by interval debulking surgery is today a valid treatment option for advanced epithelial ovarian cancer (EOC). This schema allows in vivo evaluation of the chemosensitivity of the tumor, however there is still no clearly validated marker. The Standardized CA-125 ELIMination rate constant K (Std KELIM) and the Platinum Resistant Recurrence (PtRR) Score have been proposed as markers. The aim of our study was to validate these two tools for predicting platinum sensitivity in a real-world population with advanced EOC.
Experimental design:
All patients with advanced EOC treated with neoadjuvant chemotherapy followed by interval debulking surgery in Institut Curie between 2000 and 2015 were included. Std KELIM was calculated with the CA-125 concentrations at each cycle. The predictive value of Std KELIM and the validation of the PtRR Score regarding the risk of subsequent platinum-resistant relapse were assessed using ROC curve, logistic regression and calibration curve.
Results
Std KELIM was calculated for 152 patients. The AUC was 0.67 with an optimal threshold at 0.61. A low Std KELIM was significantly associated with PtRR (odds-ratio = 0.19 (95% CI [0.06, 0.53], p = 0.002) in the univariate analysis but not in the multivariate analysis after adjustment on complete IDS status, which was the only independent predictive factor. The calibration curve of PtRR score presents a slight but significant underestimation (p = 0.02) of the risk of platinum-resistant relapse.
Conclusions
Std KELIM and PtRR score are early predictive markers of platinum resistance. They could be used in a clinical trial for assisting the clinician in adapting medical treatment.
Membranous nephropathy in chronic lymphocytic leukemia responsive to ibrutinib: a case report
Authors: Turcotte Anna-Eve , Glass William F. , Lin Jamie S. , Burger Jan A.
Published: December 2022

Background
Membranous nephropathy (MN) is an uncommon renal presentation in patients with chronic lymphocytic leukemia (CLL), and as such, there is no standard therapy for these patients. Ibrutinib, a small molecule kinase inhibitor that irreversibly binds to Bruton’s tyrosine kinase (BTK), has become a standard targeted treatment for CLL patients. Ibrutinib inhibits CLL cell proliferation and causes leukemia cell death, but its efficacy in CLL associated renal impairment due to paraneoplastic MN has not previously been described. Here we report the first case of MN in a patient with CLL treated with ibrutinib with complete renal response.
Case presentation:
A 63-year-old male with a recent diagnosis of early stage CLL (RAI stage 0) presented with complaints of fatigue, weight loss, and worsening lower extremity edema. Laboratory results revealed an elevated serum creatinine level of 1.38 mg/dl (baseline 1.20 mg/dl), hypoalbuminemia (albumin 2.4 g/dl), and a 24 h urinary protein excretion of 17.9 g. A percutaneous renal biopsy confirmed the diagnosis of MN and the patient was initiated on corticosteroids and ibrutinib therapy. After 10 months of follow-up, the serum creatinine recovered to baseline, the serum albumin level improved to 3.2 g/dl with a spot urine protein/creatinine ratio of 0.66 g. The CLL was also noted to be inactive.
Conclusions
To our knowledge this is the first report of a patient with CLL and paraneoplastic MN responsive to BTK inhibitor therapy. This presentation underlines the importance of recognizing rare glomerular diseases that may occur with CLL and offers a new therapeutic avenue to the treatment of CLL-associated MN.
Effects of Hydrolysis and Bleaching Conditions on the Efficiency of Cellulose Microribbons Extraction from Coffee Parchment Through a Design of Experiments
Authors: Rodríguez Juan Esteban Henao , Rincón Daniel Escobar , Rojas Daniel Fernando Hincapié , Orjuela Iván Gerardo Cely , Socolovsky Leandro Martín , Rondón Dariana Geraldine Erazo , Calderón César Leandro Londoño
Published: December 2022

Cellulose microribbons were isolated from coffee parchment through acid hydrolysis, alkaline hydrolysis, and bleaching. Factorial design experiments allowed studying the influence of the chemical precursor concentrations and reaction times on the mass losses. TGA, SEM, XRD, and FT-IR techniques allowed characterized the coffee parchment hydrolyzed and bleached. Obtained results suggest that after acid hydrolysis, hemicellulose was the main fraction released from the coffee parchment, and after alkaline hydrolysis, lignin. Lignocellulosic compound dissolution produces a reduction/disappearance of some vibrational bands. This dissolution enhances the crystalline index and decreases the microrribons diameter. However, in coffee parchment, the microrribons are twisted giving the appearance of fibers with a minor diameter. The design of the experiment results suggests that the main factors during acid and alkaline hydrolysis are the concentration of the chemical precursors. In the bleaching process, a variation in the factors does not significantly influence the response variable. However, for brightness, the precursor concentration affects the cellulose quality. The optimal conditions for cellulose extraction from coffee parchment are 5% (v/v) of HNO3 by 2 h, 3%(m/v) NaOH by 1 h, and a 1:1 ratio of NaClO: CH3COOH by 45 min for bleaching.
sST2: A bridge between Sirt1/p53/p21 signal-induced senescence and TGF-β1/Smad2/3 regulation of cardiac fibrosis in mice viral myocarditis
Authors: Tan Jia jia , Wei Jing , Lu Hongxiang
Published: December 2022

Soluble interleukin 1 receptor-like 1 (sST2) is a novel predictor of poor outcomes, which is involved in inflammatory response and fibrosis of myocarditis. Cardiac fibrosis is a major cause of cardiovascular disease. Cellular senescence is a state of irreversible cell cycle arrest and studies have shown that senescence of myofibroblasts can limit or reduce myocardial fibrosis. Previous studies show that cellular senescence is associated with the progress of myocarditis, and cardiac fibroblasts is closely related to cardiac fibrosis. Therefore, we investigated the role of sST2 on senescence and fibrosis in mice cardiac fibroblasts (MCF). Meanwhile, its pathological role in mice viral myocarditis (VMC) was also investigated. In vitro experiments revealed that sST2 is beneficial to activate MCF by TGF-β1/Smad2/3 signaling and inhibit cell senescence by Sirt1/P53/P21 signaling pathway. CVB3-infected mice exhibited an increased deposition of collagen in the heart and decreased MCF senescence compared to WT mice while these pathological effects are reversed by anti-ST2 mAb. In addition, we found that inhibiting the senescence of MCF is beneficial to cardiac fibrosis and this effect is achieved by paracrine action. The present study reveals a new pathogenic pathway, sST2, which leads to cardiac fibrosis of VMC by inhibiting MCF senescence.
Biomineralization process of CaCO3 precipitation induced by Bacillus mucilaginous and its potential application in microbial self-healing concrete
Authors: Li Zhenfang , Liu Aizhu , Sun Chunhui , Li Haitao , Kong Zheng , Zhai Haoran
Published: December 2022

Microbial induced calcium carbonate precipitation (MICP) is widely common in nature, which belongs to biomineralization, and has been explored carefully in recent decades. The research studied the main factors including temperature, initial pH value and Ca2+ concentration on bacterial growth and carbonic anhydrase activity by a kind of bacteria producing extracellular carbonic anhydrase, and revealed the biomineralization process of MICP by Ca2+ concentration and calcification rate in alkali environment. Meanwhile, microbial healing agent containing spores and calcium nitrate was prepared for the early age concrete cracks. The self-healing efficiency was assessed by crack closure rate and water permeability repair rate. After 28 d healing time of dry-wet cycles, compared with reference, the crack closure rate with the crack width up to 0.339 mm could reach 95.62%, the water permeability repair rate was 87.54%. XRD analysis showed that the precipitations at the crack mouth were calcite CaCO3. Meanwhile, the self-healing mechanism of mortar cracks was discussed in detail. In particular, there is no other pollution in the whole mineralization process, and the self-healing system is environmentally friendly, which provides a novel idea and method for the application of microbial self-healing concrete.
Extending deep-sea benthic biodiversity inventories with environmental DNA metabarcodingExtending deep-sea benthic biodiversity inventories with environmental DNA metabarcoding
Authors: Oosthuizen Delene , Seymour Mathew , Atkinson Lara , Heyden Sophie von der
Published: December 2022

Inventories of biodiversity are crucial for helping support conservation efforts, yet the deep sea, which is the largest biome on earth remains vastly understudied. Recent advances in molecular detection methods offer alternative techniques for studying inaccessible ecosystems, including those at depth. In this study we utilized environmental DNA metabarcoding, a first for studying deep-sea benthic environments in southern Africa, to assess the biological diversity and possible effect of trawling on these communities in the study area. Utilising sediment samples collected across a depth gradient and targeting a region of the cytochrome oxidase I (COI) gene, we recovered 444 OTUs across a wide array of species and genera, although many OTUs could only be assigned to higher taxonomic levels. Results showed that biodiversity differed significantly across depth, suggesting that even at relatively small spatial scales (~ 6 km) eDNA derived biodiversity detected variation linked to the depth gradient. No significant effects of trawling could be detected from eDNA analyses. Comparison of the OTU database with known species inventories from the sampled area revealed little overlap, highlighting the need for expanding barcoding efforts of deep-sea species to aid future eDNA survey efforts. Overall our results suggest that, with increased barcoding efforts, a combined approach of eDNA metabarcoding and physical sampling could capture a greater proportion of benthic deep-sea biodiversity. This provides provides additional opportunities to underpin conservation and management decision-making in the region, such as evaluating potential sites for future protection.
Simple Algorithm for Judging Equivalence of Differential-Algebraic Equation Systems
Authors: Kato Shota , Zhang Chunpu , Kano Manabu
Published: December 2022

Mathematical formulas play a prominent role in science, technology, engineering, and mathematics (STEM) documents; understanding STEM documents usually requires knowing whether equation groups containing multiple equations are equivalent. However, existing tools cannot judge the equivalence of two equation groups; thus, we develop an algorithm to judge such an equivalence using a computer algebra system. The proposed algorithm first eliminates variables appearing only in either equation group. It then checks the equivalence of the equations one by one. If each equation in one equation group is equivalent to an equation in the other, the equation groups are judged equivalent; otherwise, non-equivalent. We generated 50 pairs of equation groups for evaluation. The proposed method accurately judged the equivalence of all pairs. This method is expected to facilitate comprehension of a large amount of mathematical information in STEM documents. Furthermore, this is a necessary step for machines to understand equations, including process models.
FDA approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An updated 2022 landscape
Authors: Joshi Geeta , Bhandari Mukund
Published: December 2022

As artificial intelligence (AI) has been highly advancing in the last decade, machine learning (ML) based medical devices are increasingly used in healthcare. In this article, we did an extensive search on FDA database and performed analysis of FDA approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. We have presented all the listed AI/ML-Enabled Medical Devices according to the date of approval, medical specialty, implementation modality of Medical Devices, and anatomical site of use. Our summary includes the current landscape of FDA approved AI/ML-Enabled Medical Devices till date and different FDA approval pathways for medical devices which will help understand the overview of AI/ML-Enabled Medical Devices, and its overall trends.
Towards a treatment of register phenomena in HPSG
Authors: Machicao y Priemer Antonio , Müller Stefan , Schäfer Roland , Bildhauer Felix
Published: December 2022

In this paper, we deal with register-driven variation from a probabilistic perspective, as proposed in Schäfer, Bildhauer, Pankratz, Müller (2022). We compare two approaches to analyse this variation within HPSG. On the one hand, we consider a multiple-grammar approach and combine it with the architecture proposed in the CoreGram project Müller (2015) - discussing its advantages and disadvantages. On the other hand, we take into account a single-grammar approach and argue that it appears to be superior due to its computational efficiency and cognitive plausibility.
Grammatical error detection using HPSG grammars: Diagnosing common Mandarin Chinese grammatical errors
Authors: Morgado da Costa Luis , Bond Francis
Published: December 2022

Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how to adapt implemented HPSG grammars for grammatical error detection. We discuss how a single ungrammatical input can be reconstructed in multiple ways and, in turn, be used to provide specific, high-quality feedback to language learners. We then move on to exemplify this with a few of the most common error classes made by learners of Mandarin Chinese. We conclude with some notes concerning the adaptation and implementation of the methods described here in ZHONG, an open-source HPSG grammar for Mandarin Chinese.
APPORT DE LIMAGERIE DANS LES LESIONS KYSTIQUES MEDIASTINALES CONTRIBUTION OF IMAGING IN CYSTIC MEDIASTINAL LESIONS
Authors:   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., M. Haloua , A. Alaoui ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., N. El bouardi ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., B. Alami ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., Y. Lamrani ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., M. Maaroufi ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc., M. Boubbou ,   Servicederadiologie,CHUHassanII, UniversiteSidiMohammedBenabdallah,Fes, Maroc.
Published: December 2022

Retrospective study of 26 radioclinical cases of mediastinal cystic lesions, realized betweenJanuary 2011 and December 2015 in the radiology department of the UHC Hassan II of Fez.All patients were examined by a chest X-ray (face and profile), a CT scan, and an ultrasoundinafew cases. The patients of our series were distributed as follows: Tumor and malformative origin (cysticlymphangioma in 6 cases, thymic cyst in 4 cases, bronchogenic cyst in 3 cases and pleuro-pericardialcystin2cases),infectiousorigin(hydatidcystin5cases,mediastinalabscessin4cases,Tuberculosisin2cases).Theimageryallowedtoeasilyconfirmtheliquidnatureof thesemasses.Theetiologiesareveryvariedandthediagnosticorientationisbasedessentially onthe topography andtheage ofthe patient.
HISTOPATHOLOGICAL CHANGES AS ALTERATIONS, A BIOMARKER STUDY IN THE FISH CATLA CATLA EXPOSED TO SUBLETHAL CONCENTRATIONS OF CYFLUTHRIN, A SYNTHETIC PYRETHROID
Authors:   Research Scholars, Department of Zoology and Aquaculture, Acharya Nagarjuna University, Nagarjunanagar-522 510, A.P., India., Ratna Prakash M. , Sambasiva Rao T. ,   Research Scholars, Department of Zoology and Aquaculture, Acharya Nagarjuna University, Nagarjunanagar-522 510, A.P., India., Sundara Rao G. ,   Research Scholars, Department of Zoology and Aquaculture, Acharya Nagarjuna University, Nagarjunanagar-522 510, A.P., India., Gopala Rao N. ,   Assistant Professor, Department of Zoology and Aquaculture, Acharya Nagarjuna University, Nagarjunanagar-522 510, A.P., India.
Published: December 2022

The fish Catla catla exposed to a synthetic pyrethroid Cyfulthrin, type II category with a cyano group in sublethal concentration (1/10th of LC50 values of 96 hrs) 0.14 mg/L for 10 days. The toxicant had effected on the entry point gill, rendering the fish not to have any normal intake of oxygen and finally the fish succumb to death. The important metabolic organ, liver got effected wherein the metabolism is impaired and the growth of the fish is also not normal. At the exit point, the aminotellic fish kidney, both haemopoietic and excretory organ got also effected and that resulted impairment of excretion function apart from haemogenesis. All will be discussed with the available literature.
TARGETING A COMPUTER NETWORK IN A UNIVERSITY CENTER
Authors: Sales Monteiro Gisele , Italo Cordovil Da Silva Wicaro , Mark Lobo De Oliveira Jean , Roberto Freitas Rodrigues Paulo
Published: December 2022

In the modernization of technology and its media, it is observed that the amount of electronic components interconnected to local networks and the worldwide network of computers is numerous and only grows with each passing day. Activities in institutions in general have become fully connected, sectors are reputable and connected to a network of computers generating and receiving data. The project addressed focuses on explaining a situation and informing the reader about the relevance of data traffic control on a local network, ensuring the delivery and receipt of data competently and securely to destinations, without interference from other unauthorized internal connections and thus being external connections. The use of virtual local networks aims at accurately segmenting the network making it independent of physical topology, ensuring cost savings and broadcast traffic control resulting in an easy-to-administer network and increased security. The results obtained in the implementation of segmentation proved to be very effective in terms of monitoring and isolation of some sectors, with this diluted some problems that existed in the issue of information security.
PROPERTIES OF MAGNETIC CARBON BASE ON RICINODENDRONHEUDELOTII AND APPLICATION IN REMOVAL OF METHYLENE BLUE
Authors:   UFR Sciences Et Technologies, Universite de Man, BP 20 Man, Cote dIvoire., Yao Urbain Kouakou , Ollo Kambire ,   UFR Sciences Et Technologies, Universite de Man, BP 20 Man, Cote dIvoire., Vanh Eric- Simon Zran ,   UFR SSMT, Laboratoire de Constitution et Reaction de la Matiere, Universite Felix Houphouet-Boigny, 22 BP 582 Abidjan 22, Cote dIvoire.
Published: December 2022

The shells of RicinodendronHeudelotii, an agricultural waste, were used to prepare magnetic activated carbon. To do this, activated carbon was prepared by chemical activation with NaOH. By co-precipitation with iron II and iron III ions, magnetic carbon (MG-AC) is obtained. These materials were characterized using scanning electron microscopy (SEM), nitrogen gas adsorption measurements at -196Â°C, energy dispersive X-ray fluorescence and a vibrating sample magnetometer. The results showed that MG-AC had 86.5% Fe2O3 and higher magnetic properties with a magnetic saturation of 75 emu.g-1. The Brunauer-Emmett-Teller (BET) surface area and pore volume of MG-AC were determined as 86.52 m2.g-1and 0.168 cm3.g-1 respectively. The removal of methylene blue on these two materials (AC and MG-AC) was done in the absence and in the presence of hydrogen peroxide. In the absence of , methylene blue adsorbs on these materials according to a pseudo order 2 kinetics with rates of 0.0047 and 0.0039 g.mg-1.min-1 respectively for AC and MG-AC. This adsorption can be described by the Langmuir model with maximum adsorption amounts of 13.4 and 9.6 mg.g-1 respectively for AC and MG-AC. The addition of leads to the production of hydroxyl radicals thanks to the presence of iron on MG-AC. Over 4 cycles of use Activated Carbon based on RicinodendronHeudelotii removed 99.6% of MB in the 1st cycle and only 5.23% due to the considerable loss of mass, while MG-AC removed this dye at 94.6% in the first cycle and 68.44% in the 4th cycle. There is therefore less loss of mass during the regeneration of MG-AC which still remains efficient after 4 cycles.