ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Lecanemab, Aducanumab, and Gantenerumab - Binding Profiles to Different Forms of Amyloid-Beta Might Explain Efficacy and Side Effects in Clinical Trials for Alzheimer's Disease

Immunotherapy against amyloid-beta (Aβ) is a promising option for the treatment of Alzheimer's disease (AD). Aβ exists as various species, including monomers, oligomers, protofibrils, and insoluble fibrils in plaques. Oligomers and protofibrils have been shown to be toxic, and removal of these aggregates might represent an effective treatment for AD. We have characterized the binding properties of lecanemab, aducanumab, and gantenerumab to different Aβ species with inhibition ELISA, immunodepletion, and surface plasmon resonance. All three antibodies bound monomers with low affinity. However, lecanemab and aducanumab had very weak binding to monomers, and gantenerumab somewhat stronger binding. Lecanemab was distinctive as it had tenfold stronger binding to protofibrils compared to fibrils. Aducanumab and gantenerumab preferred binding to fibrils over protofibrils. Our results show different binding profiles of lecanemab, aducanumab, and gantenerumab that may explain clinical results observed for these antibodies regarding both efficacy and side effects.
The association of frailty with chronic kidney disease in older adults using the ASPirin in reducing events in the elderly cohort

Frailty and chronic kidney disease (CKD) both increase with age and are prevalent in older adults. However, studies in older adults examining the relationship between frailty and milder impairments of kidney function are relatively sparse. We examined the cross-sectional association of baseline estimated glomerular filtration rate (eGFR), albuminuria and CKD ([eGFR <60 ml/min/1.73 m2 ] and/or albuminuria [>3.0 mg/mmol]) with prefrailty and frailty in the ASPirin in Reducing Events in the Elderly (ASPREE) trial cohort of healthy older participants. Univariate logistic regression models measured the unadjusted odds ratios (OR) and 95% confidence intervals (CI) for prevalent combined prefrailty and frailty (respectively defined as presence of 1-2 or 3+ of 5 modified fried criteria) for the association between CKD, eGFR, albuminuria and other potential risk factors. Multivariable models calculated OR for prefrailty-frailty adjusted for potential confounders and either CKD, (i) eGFR and albuminuria measured as either continuous variables; (ii) or categorical variables; (iii). Of 17 759 eligible participants, 6934 were classified as prefrail, 389 were frail. CKD, eGFR and albuminuria were all associated with combined prefrailty-frailty on univariate analysis. In the multivariable modelling, neither CKD (reduced eGFR and/or albuminuria), nor eGFR (either continuous or categorical variables) were associated with prefrailty-frailty. However, albuminuria, either as a continuous variable (OR [95% CI] 1.07 [1.04-1.10]; p < .001), or categorical variable (OR 1.21 [1.08-1.36]; p = .001) was consistently associated with prefrailty-frailty. The complex relationship between albuminuria (which may be a biomarker for vascular inflammation), ageing, progressive CKD and frailty requires further investigation.
NP-completeness of chromatic orthogonal art gallery problem

The chromatic orthogonal art gallery problem is a well-known problem in the computational geometry. Two points in an orthogonal polygon P see each other if there is an axis-aligned rectangle inside P contains them. An orthogonal guarding of P is k-colorable, if there is an assignment between k colors and the guards such that the visibility regions of every two guards in the same color have no intersection. The purposes of this paper are discussing the time complexity of k-colorability of orthogonal guarding and providing algorithms for the chromatic orthogonal art gallery problem. The correctness of presented solutions is proved, mathematically. Herein, the heuristic method is used that leads us to an innovative reduction, some optimal and one approximation algorithms. The paper shows that deciding k-colorability of orthogonal guarding for P is NP-complete. First, we prove that deciding 2-colorability of P is NP-complete. It is proved by a reduction from planar monotone rectilinear 3-SAT problem. After that, a reduction from graph coloring implies this is true for every fixed integer k >= 2. In the third step, we present a 6-approximation algorithm for every orthogonal simple polygon. Also, an exact algorithm is provided for histogram polygons that finds the minimum chromatic number.
Confidence Interval Constraint-Based Regularization Framework for PET Quantization

In this paper, a new generic regularized reconstruction framework based on confidence interval constraints for tomographic reconstruction is presented. As opposed to usual state-of-the-art regularization methods that try to minimize a cost function expressed as the sum of a data-fitting term and a regularization term weighted by a scalar parameter, the proposed algorithm is a two-step process. The first step concentrates on finding a set of images that rely on the direct estimation of confidence intervals for each reconstructed value. Then, the second step uses confidence intervals as a constraint to choose the most appropriate candidate according to a regularization criterion. Two different constraints are proposed in this paper. The first one has the main advantage of strictly ensuring that the regularized solution will respect the interval-valued data-fitting constraint, thus preventing over-smoothing of the solution while offering interesting properties in terms of spatial and statistical bias/variance trade-off. Another regularization proposition based on the design of a smoother constraint also with appealing properties is proposed as an alternative. The competitiveness of the proposed framework is illustrated in comparison to other regularization schemes using analytical and GATE-based simulation and real PET acquisition.
Preparation of polyvinyl chloride (PVC) membrane blended with acrylamide grafted bentonite for oily water treatment

The current work aims to advance the hydrophilicity, morphology, and antifouling characteristics of polyvinyl chloride (PVC) membranes for oily wastewater separation by incorporating modified bentonite. The surface of bentonite nanoparticles is altered by adopting the "grafting from" method using the surface-initiated atom transfer radical polymerization (SI-ATRP) approach. The PVC-based membrane is first prepared by blending acrylamide grafted bentonite (AAm-g-bentonite). AAm is grafted on bentonite in the presence of 2,2'-Bipyridyl and copper (I) bromide as a catalyst. The modified bentonite nanoparticles are studied using multiple techniques, such as fourier transform infrared spectroscopy (FTIR), thermal gravimetric analysis (TGA), sedimentation tests, field emission scanning electron microscope (FE-SEM), etc. Flat-sheet PVC-based membrane is prepared by blending AAm-g-bentonite using the nonsolvent induced phase separation (NIPS) technique. Different methods, including FE-SEM, FTIR, sedimentation test, contact angle, porosity, antifouling property, and filtration studies of pure and oily water, are used to characterize and determine the performance of mixed-matrix membranes. Membrane performance is improved in the presence of modified bentonite (i.e., AAm-g-bentonite), with the best result achieved at PVC/AAm-g-ben-8 (i.e., 8 wt % of AAm-g-bentonite). Enhanced pure water flux (293.14 Lm-2h-1), permeate flux (123.96 Lm-2h-1), and oil rejection >93.2% are obtained by the reduced contact angle (49.1°) and improved porosity (71.22%).
Sensors for Robotic Hands: A Survey of State of the Art

Recent decades have seen significant progress in the field of artificial hands. Most of the surveys, which try to capture the latest developments in this field, focused on actuation and control systems of these devices. In this paper, our goal is to provide a comprehensive survey of the sensors for artificial hands. In order to present the evolution of the field, we cover five year periods starting at the turn of the millennium. At each period, we present the robot hands with a focus on their sensor systems dividing them into categories, such as prosthetics, research devices, and industrial end-effectors. We also cover the sensors developed for robot hand usage in each era. Finally, the period between 2010 and 2015 introduces the reader to the state of the art and also hints to the future directions in the sensor development for artificial hands.
Face Recognition Using Sparse Fingerprint Classification Algorithm

Unconstrained face recognition is still an open problem as the state-of-the-art algorithms have not yet reached high recognition performance in real-world environments. This paper addresses this problem by proposing a new approach called sparse fingerprint classification algorithm (SFCA). In the training phase, for each enrolled subject, a grid of patches is extracted from each subject's face images in order to construct representative dictionaries. In the testing phase, a grid is extracted from the query image and every patch is transformed into a binary sparse representation using the dictionary, creating a fingerprint of the face. The binary coefficients vote for their corresponding classes and the maximum-vote class decides the identity of the query image. Experiments were carried out on seven widely-used face databases. The results demonstrate that when the size of the data set is small or medium (e.g., the number of subjects is not greater than one hundred), SFCA is able to deal with a larger degree of variability in ambient lighting, pose, expression, occlusion, face size, and distance from the camera than other current state-of-the-art algorithms.
A case of death of patient with ovarian fibroma combined with Meigs Syndrome and literature review

Ovarian fibroma is the most common benign pure stromal tumor. It has no specific clinical manifestation, most of which are pelvic or adnexal masses. 10-15% of cases with hydrothorax or ascites, after tumor resection, hydrothorax and ascites disappear, known as Meigs Syndrome. The elevated level of CA125 in a few patients was easily misdiagnosed as ovarian malignant tumor. A case of bilateral Ovarian fibroma associated with Meigs Syndrome is reported and the literature is reviewed in order to improve the understanding of the changes and avoid misdiagnosis.
Beyond corrosion: development of a single cell-ICP-ToF-MS method to uncover the process of microbiologically influenced corrosion

The development of the microbiologically influenced corrosion (MIC)-specific inductively coupled plasma-time of flight-mass spectrometry (ICP-ToF-MS) analytical method presented here, in combination with the investigation of steel-MIC interactions, contributes significantly to progress in instrumental MIC analysis. For this, a MIC-specific staining procedure was developed, which ensures the analysis of intact cells. It allows the analysis of archaea at a single cell level, which is extremely scarce compared to other well-characterized organisms. The detection method revealed elemental selectivity for the corrosive methanogenic strain Methanobacterium-affiliated IM1. Hence, the possible uptake of individual elements from different steel samples was investigated and results showed the cells responded at a single-cell level to the different types of supplemented elements and displayed the abilities to uptake chromium, vanadium, titanium, cobalt, and molybdenum from solid metal surfaces. The methods developed and information obtained will be used in the future to elucidate underlying mechanisms, compliment well-developed methods, such as SEM-EDS, and develop novel material protection concepts.
Anti-glomerular basement membrane vasculitis

Antiglomerular basement membrane disease (anti-GBM) is a rare life-threatening autoimmune vasculitis that involves small vessels and it is characterized by circulating autoantibodies directed against type IV collagen antigens expressed in glomerular and alveolar basement membrane. The typical clinical manifestations are the rapidly progressive glomerulonephritis and the alveolar hemorrhage. The diagnosis is usually confirmed by the detection of anti-GBM circulating antibodies. If not rapidly recognized, anti-GBM disease can lead to end stage kidney disease (ESKD). An early diagnosis and prompt treatment with immunosuppressive therapies and plasmapheresis are crucial to prevent a poor outcome. In this review, we discuss the primary form of anti-GBM (the so called Goodpasture syndrome) but also cases associated with other autoimmune diseases such as antineutrophil-cytoplasmic-antibody (ANCA) vasculitis, membranous nephropathy, IgA nephritis and systemic lupus erythematosus (SLE), as well as the few cases of anti-GBM vasculitis complicating kidney transplantation in the Alport syndrome.
A High-Speed Successive-Cancellation Decoder for Polar Codes Using Approximate Computing

Polar codes are a new class of forward error-correction codes, which have been proved asymptotically capacity-achieving for symmetric memoryless channels. Successive-cancellation (SC) decoders are low complexity while suffering from low speed due to their serial processing nature. Based on a newly published fast simplified SC algorithm, we propose a more efficient decoder than the prior art in this brief. Well-optimized components in the decoder core are developed. Additionally, several efficient approximate computing units (Apx-CUs) are introduced to substitute their accurate counterparts in the decoder to achieve even higher operating frequency. Field-programmable gate-array implementation results show that our design is about 1.5 times faster than the prior art, and the proposed Apx-CUs can bring an additional 19% processing speed.
Electromagnetic interference with infusion pumps from GSM mobile phones

Electromagnetic interference with critical medical care devices has been reported by various groups. Previous studies have demonstrated that volumetric and syringe pumps are susceptible to false alarm buzzing and blocking when exposed to various electromagnetic sources. The risk of electromagnetic interference depends on several factors such as the phone-emitted power, distance, and carrier frequency. The aim of this study was to assess the risk of GSM phone-induced electromagnetic interference with volumetric and syringe pumps, at various distances and emitted powers. Malfunctions were observed in 6 out of 8 volumetric pumps and in 1 out of 4 syringe pumps exposed to mobile phones at their maximum output, at distances up to 30 cm. The maximum power that did not induce any malfunction at zero distance was 50 mW at 900 MHz and 2.5 mW at 1,800 MHz. In state-of-the-art pumps, the presence of moderate-good base station coverage would significantly reduce the risk of electromagnetic interference.
Data model for additive manufacturing digital thread: state of the art and perspectives

Additive Manufacturing (AM) is currently seen as an interesting process for the fabrication of complex and high value-added functional products. AM is being increasingly used in manufacturing bringing forward technological advancements particularly in materials and process optimisations. Simultaneously, the lifecycle of manufactured products is increasingly based on an 'all-digital' context using cyber-physical systems, the Internet of Things and Industry 4.0 devices. This has led to huge amounts of digital data being generated in manufacturing projects development. Data management is one of the key issues for diffusing and adopting this technology. However, the commonly used digital thread for AM is based on old solutions, such as STL and G-code, which were developed during the 1980s and are not well synchronised with current advanced developments in AM. Moreover, digital thread needs to be contextualised according to the complexities of the sector in which it is being used. Hence, alternative formats should also take into account global and sectorial application. This paper presents the past and current research for a state-of-the-art data model digital thread, as well as perspectives and recommendations for a performing data model thread adapted to the different needs of the AM community.
A Wavelet-GSM Approach to Demosaicking

We propose a wavelet-based Gaussian scale mixture (GSM) demosaicking method. The wavelet coefficients of the proposed method corresponding to the luminance and chrominance components are reconstructed using Bayesian minimum mean square error estimation. The proposed wavelet-GSM prior exploits the correlation of neighboring wavelets coefficients to improve upon a previously proposed posterior sparsity directed demosaicking method. As a result, our proposed demosaicking method suppresses the zippering artifacts more effectively than the state of the arts.
A Service Evaluation of Adherence with Antimicrobial Guidelines in the Treatment of Community-Acquired Pneumonia Before and During the SARS-CoV-2 Outbreak

Antimicrobial stewardship is essential to reducing antimicrobial resistance, reducing costs, and, crucially, ensuring good patient care. Community-acquired pneumonia (CAP) is a common medical condition, the symptoms of which show a significant overlap with those of COVID-19. Following the COVID-19 outbreak in Ireland, patients presenting to our hospital with features of a respiratory infection were more commonly reviewed within 24 hours (24h) of admission by an infectious disease (ID) or respiratory specialist. We aimed to assess how the change in service provision, involving frequent specialist reviews of patients admitted with features of CAP during the first wave of the COVID-19 pandemic, affected antimicrobial stewardship and prescribing practices. Patients admitted under general medical teams treated for CAP from March-April 2020 were included. Retrospective data including demographics, CURB-65 score, and antimicrobial therapy were collected, as well as information on whether the patient had undergone specialist review by an ID or respiratory physician. Data were compared to a similar cohort treated for CAP between November 2019 and January 2020, though in this cohort, before the era of COVID-19, none of the patients had undergone specialist review. Seventy-six patients were included from the March-April 2020 cohort, with 77 from November 2019-January 2020 for comparison. An ID or respiratory specialist reviewed 35 patients from the March-April cohort within 24 h of admission. There was a higher rate of appropriate escalation, de-escalation, and continuation of antibiotics among those reviewed. Less than 20% of patients were started on antibiotics in accordance with CAP guidelines on admission, though the antibiotics initiated were frequently deemed appropriate in the clinical setting. Specialist review increases rates of appropriate antimicrobial prescribing and adherence with hospital guidelines in patients with CAP.
Centroid neural network adaptive resonance theory for vector quantization

In this paper, a novel unsupervised competitive learning algorithm, called the centroid neural network adaptive resonance theory (CNN-ART) algorithm, is proposed to relieve the dependence on the initial codewords of the codebook in contrast to the conventional algorithms with vector quantization in lossy image compression. The design of the CNN-ART algorithm is mainly based on the adaptive resonance theory structure, and then a gradient-descent-based learning rule is derived so that the CNN-ART algorithm does not require a predetermined schedule for learning rate. Furthermore, the appropriate initial weights obtained by the CNN-ART algorithm can be applied as an initial codebook for the Linde-Buzo-Gray (LBG) algorithm such that the compression performance can be greatly improved. In this paper, the extensive simulations demonstrate that the CNN-ART algorithm does outperform other algorithms like LBG, self-organizing feature map and differential competitive learning. (C) 2002 Elsevier Science B.V. All rights reserved.
Hematopoietic Stem Cell Identification Postirradiation

Radiation exposure is particularly damaging to cells of the hematopoietic system, inducing pancytopenia and bone marrow failure. The study of these processes, as well as the development of treatments to prevent hematopoietic damage or enhance recovery after radiation exposure, often require analysis of bone marrow cells early after irradiation. While flow cytometry methods are well characterized for identification and analysis of bone marrow populations in the nonirradiated setting, multiple complications arise when dealing with irradiated tissues. Among these complications is a radiation-induced loss of c-Kit, a central marker for conventional gating of primitive hematopoietic populations in mice. These include hematopoietic stem cells (HSCs), which are central to blood reconstitution and life-long bone marrow function, and are important targets of analysis in these studies. This chapter outlines techniques for HSC identification and analysis from mouse bone marrow postirradiation.
Effects of hourly precipitation and temperature on ambulance response time

Background: Longer ambulance response time (ART) delaying treatment would worsen conditions of seriously ill or injured patients, but limited evidence is available on the effects of weather factors on ART. This study aims to assess precipitation- and temperature-ART associations and their potential lagged effects using a novel modeling strategy. Methods: Based on 779,156 emergency records during 2010-2016 from the whole population in Shenzhen, China, we creatively combined quantile regression with distributed-lag nonlinear models to examine the nonlinear and lagged effects of hourly precipitation and temperature on ART at the 50th and 90th percentiles. Results: A linear precipitation-ART association with a delay of 9.01 (95%CI, 7.82-10.20) seconds at median ART for a 1 mm increase in hourly precipitation, and the effects lasted for 5 h with the greatest effect at the current hour. A two linear thresholds temperature-ART association revealed 1 degrees C decrease below 19 degrees C caused 1.68 (95%CI, 0.92-2.44) seconds delay in total ART over lag 0-7 h, and 1 degrees C increase above 24 degrees C caused 2.44 (95%CI, 1.55-3.33) seconds delay. The hourly call volumes exceeding 54 calls caused 8.79 (95%CI, 8.71-8.86) seconds delay in total ART for 1 more call, but not affected the effects of weather factors. The internal ART suffered more from the hourly call volumes, while the external ART suffered more from precipitation and temperature. The effects were apparently greater on ART at the 90th percentile than median. Conclusions: Precipitation and temperature are independent risk factors for ambulance services performance, and their lagged effects are notable. The external ART and patients with long ART are vulnerable. More attention should be paid to weather and ART, and these findings may have implications for effective policies to reduce ART to protect public health.