ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Immunocompetent Patient With Primary Bone Marrow Hodgkin Lymphoma

Hodgkin lymphoma (HL) is a hematologic malignancy that comprises about 10% of all lymphomas with the most common type being classical HL (cHL). The typical clinical presentation of cHL involves multiple region lymphadenopathy and a chest mass found on imaging. However, not all patients present with the typical symptomology of cHL which poses a diagnostic challenge. Extranodal HL, especially primary bone marrow HL (PBMHL), has been described in immunocompromised patients with human immunodeficiency virus (HIV). In this case report, we present a PBMHL case in an immunocompetent patient with no HIV exposure. We discuss a 51-year-old immunocompetent female who presented with 2 - 3 months of fever, confusion, generalized myalgias, and fatigue. She had no lymphadenopathy on physical exam. On further testing, the patient's blood work demonstrated cytopenia and imaging confirmed no lymphadenopathy. Eventually, a bone marrow evaluation established her diagnosis of PBMHL. The patient expired after receiving one cycle of a modified chemotherapy regimen. This case illustrates that HL can be associated with an atypical clinical presentation which may delay diagnosis and treatment. PBMHL can occur in the normal population who is not immunocompromised nor HIV positive. In this situation, the best diagnostic approach is a thorough medical history, physical exam, and bone marrow aspiration and biopsy. Presence of constitutional symptoms without any lymphadenopathy or chest mass should raise the concern for possible atypical HL such as PBMHL. Accurate and timely identification of PBMHL allows for timely initiation of appropriate therapy. While cHL is responsive to chemotherapy, further research is required to improve the therapy for PBMHL.
Profitability of Ichimoku-Based Trading Rule in Vietnam Stock Market in the Context of the COVID-19 Outbreak

Ichimoku Kinkohyo or Ichimoku Cloud Chart is one of the most popular technical indicators used by traders all over the world. However, its profitability is heavily influenced by the market environment, to which it is applied. Furthermore, the COVID-19 outbreak may have an impact on the market environment as well as the performance of all technical indicators. This study is the first to look into the profitability of Ichimoku-based trading rules in the Vietnamese stock market in the context of the COVID-19 outbreak. More particularly, the COVID-19 outbreak has a positive influence on the performance of this strategy when considering the entire market as well as a variety of industries including real estate industry, food and beverage industry, resource industry, and automotive and electronic components industry. Compared to the pre-pandemic period, the return on investment obtained per each transaction using the Ichimoku-based strategy increased by roughly 8 - 9 %  in the pandemic period. Compared to the Buy-and-hold method, the Ichimoku-based strategy could slightly increase Accumulated return while posing a lower risk. The findings indicate that the Ichimoku-based strategy is applicable to the Vietnam stock market, regardless of the adverse effects of the pandemic on the industries.
The comparative effects of group prenatal care on psychosocial outcomes

To compare the psychosocial outcomes of the CenteringPregnancy (CP) model of group prenatal care to individual prenatal care, we conducted a prospective cohort study of women who chose CP group (N = 124) or individual prenatal care (N = 124). Study participants completed the first survey at study recruitment (mean gestational age 12.5 weeks), with 89% completing the second survey (mean gestational age 32.7 weeks) and 84% completing the third survey (6 weeks' postpartum). Multiple linear regression models compared changes by prenatal care model in pregnancy-specific distress, prenatal planning-preparation and avoidance coping, perceived stress, affect and depressive symptoms, pregnancy-related empowerment, and postpartum maternal-infant attachment and maternal functioning. Using intention-to-treat models, group prenatal care participants demonstrated a 3.2 point greater increase (p < 0.05) in their use of prenatal planning-preparation coping strategies. While group participants did not demonstrate significantly greater positive outcomes in other measures, women who were at greater psychosocial risk benefitted from participation in group prenatal care. Among women reporting inadequate social support in early pregnancy, group participants demonstrated a 2.9 point greater decrease (p = 0.03) in pregnancy-specific distress in late pregnancy and 5.6 point higher mean maternal functioning scores postpartum (p = 0.03). Among women with high pregnancy-specific distress in early pregnancy, group participants had an 8.3 point greater increase (p < 0.01) in prenatal planning-preparation coping strategies in late pregnancy and a 4.9 point greater decrease (p = 0.02) in postpartum depressive symptom scores. This study provides further evidence that group prenatal care positively impacts the psychosocial well-being of women with greater stress or lower personal coping resources. Large randomized studies are needed to establish conclusively the biological and psychosocial benefits of group prenatal care for all women.
Treatment of textile industry wastewater based on coagulation-flocculation aided sedimentation followed by adsorption: Process studies in an industrial ecology concept

This study examines the feasibility of treatment of textile industry wastewater using a two-step process that includes coagulation-flocculation aided sedimentation and adsorption. It also aims at finding reuse potential of the generated sludge while making the treated water recyclable for the same industry in an industrial ecology concept. The wastewater was collected from a small-scale textile plant with a discharge of 400 L/week, where more than 70 similar textile plants are located in and around the area. FeCl3 was selected as the coagulant for the initial step in the treatment process, and a bimetallic oxide Graphene Oxide (GO) hybrid was selected as the adsorbent for the latter step of the treatment process. The experimental conditions for the coagulation process included the optimization of dose, stirring speed, stirring time, and settling time. For the adsorption process it included the optimization of stirring time, dose, and rate. The parameters like Chemical Oxygen Demand (COD) and color were checked during the treatment process and near complete removal of COD and color were achieved using the suggested materials and process. The treated water was found fit for recycling - towards making zero liquid discharge plant. Later, the sludge generated from both the steps in the processes was sundried and mixed with cement and tested for 7 days and 28 days of compressive strength. A total of 26 kg of cement was replaced, by using sludge generated from treating 100 L of textile wastewater, in the sludge-cement mix. In addition to solving the sludge problem, the process can help in reducing the requirement of cement in concrete. Finally, a detailed economic assessment for the entire study was also performed and is reported.
Multi-snapshot Newtonized orthogonal matching pursuit for line spectrum estimation with multiple measurement vectors

In this paper, multi-snapshot Newtonized orthogonal matching pursuit (MNOMP) algorithm is proposed to deal with the line spectrum estimation with multiple measurement vectors (MMVs). MNOMP has the low computation complexity and state-of-the-art performance advantage of NOMP, and also includes two key steps: Detecting a new sinusoid on an oversampled discrete Fourier transform (DFT) grid and refining the parameters of already detected sinusoids to avoid the problem of basis mismatch. We provide a stopping criterion based on the overestimating probability of the model order. In addition, the convergence of the proposed algorithm is also proved. Finally, numerical results are conducted to show that the performance of MNOMP benefits from MMVs, and the effectiveness of MNOMP when compared against the state-of-the-art algorithms in terms of frequency estimation accuracy and computation complexity. (C) 2019 Elsevier B.V. All rights reserved.
High rate of hematological responses to sorafenib in FLT3-ITD acute myeloid leukemia relapsed after allogeneic hematopoietic stem cell transplantation

Relapse represents the most significant cause of failure of allogeneic hematopoietic stem cell transplantation (HSCT) for FLT3-ITD-positive acute myeloid leukemia (AML), and available therapies are largely unsatisfactory. In this study, we retrospectively collected data on the off-label use of the tyrosine kinase inhibitor sorafenib, either alone or in association with hypomethylating agents and adoptive immunotherapy, in 13 patients with post-transplantation FLT3-ITD-positive AML relapses. Hematological response was documented in 12 of 13 patients (92%), and five of 13 (38%) achieved complete bone marrow remission. Treatment was overall manageable in the outpatient setting, although all patients experienced significant adverse events, especially severe cytopenias (requiring a donor stem cell boost in five patients) and typical hand-foot syndrome. None of the patients developed graft-vs.-host disease following sorafenib alone, whereas this was frequently observed when this was given in association with donor T-cell infusions. Six patients are alive and in remission at the last follow-up, and four could be bridged to a second allogeneic HSCT, configuring a 65 ± 14% overall survival at 100 d from relapse. Taken together, our data suggest that sorafenib might represent a valid treatment option for patients with FLT3-ITD-positive post-transplantation relapses, manageable also in combination with other therapeutic strategies.
Application of internet thinking in the teaching of environmental art design

Views or fragility of our environment and its cultural reaction, we need to understand how artists have depicted the environment in the past and how they continue to shape it at the moment. Environmental art is a new genre in this paper to describe how artworks directly characterize the environment. Abstract work of art is clear and every form of resistance, such as a long line by the Pollution or by Skyspaces. The need for Terrell a new genre to describe the overall environmental art is quite obvious, as it has been given the label of this kind of art since the late 1960s, such as land art, earthworks, site host network arts, arts destination, eco-art, Eco-art, environmental sculpture. The review also considered the potential for teaching change to convey environmental art. Art provides a lens by exploring all aspects of society - from Water Pollution production, Teaching policy, watershed management, and transport infrastructure, to educate and costume design from an ecological perspective. This article provides a brief history and prominence in the last decades of programs and practices in this field examples. Although primarily to the U.S. point of view to provide environmental art movement, all the work cited characteristics of the networked global system?s rapid exchange of ideas exist.
The in vitro genotoxicity potency of mixtures of pyrrolizidine alkaloids can be explained by dose addition of the individual mixture components

Plant-based 1,2-unsaturated Pyrrolizidine Alkaloids (PAs) are responsible for liver genotoxicity/carcinogenicity following metabolic activation, making them a relevant concern for safety assessment. Due to 21st century toxicology approaches, risk of PAs can be better discerned though an understanding of differing toxic potencies, but it is often mixtures of PAs that are found as contaminants in foods, for example, herbal teas and honey, food supplements and herbal medicines. Our study investigated whether genotoxicity potency of PAs dosed individually or in mixtures differed when measured using micronuclei formation in vitro in HepaRG human liver cells, which we and others have shown to be suitable for observing genotoxic potency differences across different PA structural classes. When equipotent concentrations of up to six different PAs representing a wide range of potencies in vitro were tested as mixtures, the observed genotoxic potency aligned favorably with results for single PAs. Similarly, when the BMD confidence intervals of these equipotent mixtures were compared with the confidence intervals of the individual PAs, only minimal variation was observed. These data support a conclusion that for this class of plant impurities, all acting via the same DNA-reactive mode of action, genotoxic potency can be regarded as additive when assessing the risk of mixtures of PAs.
V-band HJFET MMIC DROs with low phase noise, high power, and excellent temperature stability

This paper describes the development, along with detailed phase-noise analysis, of V-band monolithic-microwave integrated-circuit (MMIC) dielectric-resonator oscillators (DROs) achieving state-of-the-art performances. A TE01delta-mode Ba(Mg,Ta)O-3 cylindrical dielectric resonator (DR) is directly placed on a MMIC GaAs substrate to avoid the loss and uncertainty of bonding wires. A 0.15-mum AlGaAs-InGaAs heterojunction field-effect transistor with optimized structure, is developed as an active device. A design procedure proposed by the authors is employed, which allows us to analyze and optimize circuits in consideration for the output power, phase noise, and temperature stability. A developed DRO co-integrated with a buffer amplifier exhibits a low phase noise of -90 dBc/Hz at 100-kHz offset, a high output power of 10.0 dBm, and an excellent frequency stability of 1.6 ppm/degreesC at an oscillation frequency of 59.6 GHz, all of which are state-of-the-art performances reported for MMIC DROs above V-band. An experimental and theoretical analysis for the phase-noise-reduction effect of a DR is also addressed.
Robust Attitude Estimation from Uncertain Observations of Inertial Sensors Using Covariance Inflated Multiplicative Extended Kalman Filter

This paper presents an attitude estimation method from uncertain observations of inertial sensors, which is highly robust against different uncertainties. The proposed method of covariance inflated multiplicative extended Kalman filter (CI-MEKF) takes the advantage of non-singularity of covariance in MEKF as well as a novel covariance inflation (CI) approach to fuse inconsistent information. The proposed CI approach compensates the undesired effect of magnetic distortion and body acceleration (as inherent biases of magnetometer and accelerometer sensors data, respectively) on the estimated attitude. Moreover, the CI-MEKF can accurately estimate the gyro bias. A number of simulation scenarios are designed to compare the performance of the proposed method with the state of the art in attitude estimation. The results show the proposed method outperforms the state of the art in terms of estimation accuracy and robustness. Moreover, the proposed CI-MEKF method is shown to be significantly robust against different uncertainties, such as large body acceleration, magnetic distortion, and errors, in the initial condition of the attitude.
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis-Part II: Signals and Signal Processing Methods

This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines. The Part II of this survey focuses on the signals and signal processing methods used for wind turbine condition monitoring and fault diagnosis.
Queer Pilgrimage: Anne Lister, Gentleman Jack, and Locating Community

Queer pilgrimage is a journey made by an individual or a group to a location, permanent or transitory, which bears relevance to the lives, cultures, and politics of queer people. It is undertaken for the pilgrim/s to feel an affinity with the space itself through emotional and/or physical proximity. Since Gentleman Jack first aired in 2019, acts of queer pilgrimage have increased substantially to key sites associated with Lister, including to Shibden Hall (her ancestral home), Halifax, York, and beyond. In this article I draw upon two forms of queer pilgrimage in relation to Anne Lister. The first is this substantial increase in tourism and attraction to sites associated with Lister. The second is the queer pilgrimage Lister herself undertook in 1822 to the Ladies of Llangollen at their home, Plas Newydd.In drawing out these two comparatively, I propose that historical and contemporary forms of queer pilgrimage have more in common than may initially be apparent, namely a commonality between the queer pilgrims of the 19th and 21st centuries around a desire for community.
Potentially toxic elements in groundwater of the upper Brahmaputra floodplains of Assam, India: water quality and health risk

This paper presents the groundwater quality assessment of the upper Brahmaputra floodplains of Assam on a seasonal basis. A total of 88 samples were analyzed for the presence of potentially toxic elements in two seasons. In addition, an attempt is made to identify any possible associated health risks to the residents via the drinking water pathway. The study reveals the presence of various potentially toxic elements, in particular, manganese, iron, nickel, and fluoride concentration exceeding the drinking water specifications set by BIS and WHO drinking water standards. The degree of groundwater contamination was assessed using the Water Quality Index, Heavy metal Pollution Index, Heavy metal Evaluation Index, and Degree of Contamination. The spatial distribution maps of groundwater quality were prepared using geographical information system. The non-carcinogenic health risk was evaluated using hazard quotients and hazard index as per the United States Environmental Protection Agency methodology. The hazard quotient of fluoride and manganese have values > 1, which exceeds USEPA recommended benchmark. The health risk assessment identified that the risk was highest during the pre-monsoon season, and the child population is more vulnerable to non-carcinogenic risk than the adults. Findings of cancer risk identified that pre-monsoon groundwater samples from the Golaghat District pose the highest health risks in the upper Brahmaputra floodplains. The risk is highest in the southwest of the study area, followed by the south and then by the north.
Towards Intelligent Intracortical BMI Low-Power Neuromorphic Decoders That Outperform Kalman Filters

Fully-implantable wireless intracortical Brain Machine Interfaces (iBMI) is one of the most promising next frontiers in the nascent field of neurotechnology. However, scaling the number of channels in such systems by another 10x is difficult due to power and bandwidth requirements of the wireless transmitter. One promising solution for that is to include more processing, up to the decoder, in the implant so that transmission data-rate is reduced drastically. Earlier work on neuromorphic decoder chips only showed classification of discrete states. We present results for continuous state decoding using a low-power neuromorphic decoder chip termed Spike-input Extreme LearningMachine (SELMA) that implements a nonlinear decoder without memory and its memory-based version with time-delayed bins, SELMAbins. We have compared SELMA, SELMA-bins against state-ofthe-art Steady-State Kalman Filter (SSKF), a linear decoder with memory, across two different datasets involving a total of 4 non-human primates (NHPs). Results show at least a 10% (20%) or more increase in the fraction of variance accounted for (FVAF) by SELMA (SELMA-bins) over SSKF across the datasets. Estimated energy consumption comparison shows SELMA (SELMA-bins) consuming approximate to 9 nJ/update (23 nJ/update) against SSKF's approximate to 7.4 nJ/update for an iBMI with a 10 degree of freedom control. Thus, SELMA yields better performance against SSKF while consuming energy in the same range as SSKF whereas SELMA-bins performs the best with moderately increased energy consumption, albeit far less than energy required for raw data transmission. This paves the way for reducing transmission data rates in future scaled iBMI systems.
Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting

Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that combine machinelearning with numerical weather predictions (NWP) have coarse resolution. In this paper, we take a graph signal processing perspective and model multi-site photovoltaic (PV) production time series as signals on a graph to capture their spatio-temporal dependencies and achieve higher spatial and temporal resolution forecasts. We present two novel graph neural network models for deterministic multi-site PV forecasting dubbed the graph-convolutional long short term memory (GCLSTM) and the graph-convolutional transformer (GCTrafo) models. These methods rely solely on production data and exploit the intuition that PV systems provide a dense network of virtual weather stations. The proposed methods were evaluated in two data sets for an entire year: 1) production data from 304 real PV systems, and 2) simulated production of 1000 PV systems, both distributed over Switzerland. The proposed models outperform state-of-the-art multi-site forecasting methods for prediction horizons of six hours ahead. Furthermore, the proposed models outperform state-of-the-art single-site methods with NWP as inputs on horizons up to four hours ahead.
Symbolic Music Generation Conditioned on Continuous-Valued Emotions

In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioning a state-of-the-art transformer based on continuous-valued valence and arousal labels. In addition, we provide a new large-scale dataset of symbolic music paired with emotion labels in terms of valence and arousal. We evaluate our approach in a quantitative manner in two ways, first by measuring its note prediction accuracy, and second via a regression task in the valence-arousal plane. Our results demonstrate that our proposed approaches outperform conditioning using control tokens which is representative of the current state of the art.
Application of the ALARA principle for radon at work: feedback from the European ALARA network

The Council Directive 2013/59/Euratom has introduced binding requirements for the management of radon in the workplace in Member States of the European Union. How does it work in practice? In 2021, the European ALARA Network created a working group on ALARA for Radon at Work with the objective of collecting and sharing experiences from the field. A survey was developed to detail each step of the national regulations for the control of radon and to describe case studies showing implementation. This article presents a qualitative analysis of the answers received from seven countries. There are no two similar national regulations and, at each step, different provisions, protocols, techniques etc are applicable or recommended. This diversity contributes to the richness of the results and can inform about interesting and good practices, where 'good' is defined by what is appropriate in the nationally and locally prevailing circumstances. All national regulations follow a graded approach, which is a key component for the implementation of the optimisation (ALARA) principle, yet several potential weak points that may be challenging to ALARA have been identified and are discussed, namely the radon risk assessment, the focus on numerical values, uncertainties in the measurement, how to obtain economically efficient remediation, and the interface with other regulations. Strengthening collaboration between risk prevention and radiation protection actors could help to provide and build expertise on radon management in the workplace, especially when exposure is managed as a planned exposure situation.