Miracle-dz/UniFAR-FTUs huggingface dataset:
Refractory Splenic Marginal Zone Lymphoma Responsive to Combination Venetoclax and Bortezomib (Velcade) (V2) Therapy

Standard treatment regimens for the management of patients with refractory splenic marginal zone lymphoma (SMZL) are currently unavailable. Here, we report a case of SMZL, which, after failing multiple therapeutics, demonstrated an impressive clinical response to combined Venetoclax and Velcade (V2), a treatment combination currently being investigated in the setting of refractory multiple myeloma. We also report a unique histopathology and mutational profile that may have important implications for the characterization and prognosis of SMZL.
Molecular and histopathologic investigation of Pestivirus, Chlamydophila abortus and Listeria monocytogenes infections in aborted sheep foetuses

The aims of this study was to investigate the presence of pestiviruses, Chlamydophila abortus (C. abortus) and Listeria monocytogenes (L. monocytogenes) and histopathological findings caused by these agents in aborted sheep foetuses. A total of 52 aborted sheep foetuses, aged between 1 to 5 months of gestation, were collected from Konya province in Turkey. Molecular techniques were used for detection pestivirus RNA, C. abortus and L. monocytogenes DNA in investigated samples. Pestivirus RNA was detected in 6 (11.5%) of the 52 aborted sheep foetuses whereas C. abortus DNA was determined in 8 (15.4%) foetuses. However, L. monocytogenes DNA was not detected in investigated samples. The significant histopathological findings were hypomyelination, degeneration and necrosis of neurons in the brain, interstitial pneumonia, mononuclear infiltrations in the liver, hyperemia and proximal tubule degeneration in the cortex of kidney in pestivirus positive samples and multifocal purulent-necrotic foci, diffuse neutrophils and mononuclear infiltrations in the liver and spleen, hyperaemia, bleeding, intramyelinic and perivascular oedema, gliosis, neuronophagia in the brain, hyperemia, proximal tubule degeneration and neutrophil granulocyte infiltration in the cortex of kidney were observed in C. abortus positive samples. The results of the study show that C. abortus and pestivirus infections play an important role in abortion in sheep.
Determinants of Telehealth Service Use among Mental Health Patients: A Case of Rural Louisiana

The COVID-19 pandemic decreased the in-person outpatient visits and accelerated the use of telehealth services among mental health patients. Our study investigated the sociodemographic and clinical correlates of the intensity of telehealth use among mental health patients residing in rural Louisiana, United States. The study sample included 7069 telehealth visits by 1115 unique patients encountered from 1 April 2020 to 31 March 2021 at six mental health outpatient clinics managed by the Northeast Delta Human Services Authority (NEDHSA). We performed a negative binomial regression analysis with the intensity of service use as the outcome variable. Being younger, female, and more educated were associated with a higher number of telehealth visits. The prevalence of other chronic conditions increased telehealth visits by 10%. The telehealth service intensity varied across the nature of mental health diagnoses, with patients diagnosed with the schizophrenia spectrum and other psychotic disorders utilizing 15% fewer telehealth visits than patients diagnosed with depressive disorders. The promotion of telehealth services among mental health patients in the rural setting might require the elimination of the digital divide with a particular focus on the elderly, less educated, and those with serious mental health illnesses such as schizophrenia and psychotic disorders.
MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA–Disease Association Prediction

MicroRNAs (miRNAs) are small non-coding RNAs that are related to a number of complicated biological processes, and numerous studies have demonstrated that miRNAs are closely associated with many human diseases. In this study, we present a matrix decomposition and similarity-constrained matrix factorization (MDSCMF) to predict potential miRNA–disease associations. First of all, we utilized a matrix decomposition (MD) algorithm to get rid of outliers from the miRNA–disease association matrix. Then, miRNA similarity was determined by utilizing similarity kernel fusion (SKF) to integrate miRNA function similarity and Gaussian interaction profile (GIP) kernel similarity, and disease similarity was determined by utilizing SKF to integrate disease semantic similarity and GIP kernel similarity. Furthermore, we added L2 regularization terms and similarity constraint terms to non-negative matrix factorization to form a similarity-constrained matrix factorization (SCMF) algorithm, which was applied to make prediction. MDSCMF achieved AUC values of 0.9488, 0.9540, and 0.8672 based on fivefold cross-validation (5-CV), global leave-one-out cross-validation (global LOOCV), and local leave-one-out cross-validation (local LOOCV), respectively. Case studies on three common human diseases were also implemented to demonstrate the prediction ability of MDSCMF. All experimental results confirmed that MDSCMF was effective in predicting underlying associations between miRNAs and diseases.
Improvement of the noradrenergic symptom cluster following treatment with milnacipran

Depression has a major impact on social functioning. Decreased concentration, mental and physical slowing, loss of energy, lassitude, tiredness, and reduced self-care are all symptoms related to reduced noradrenergic activity. Depressed mood; loss of interest or pleasure; sleep disturbances; and feelings of worthlessness, pessimism, and anxiety are related to reduced activity of both serotonergic and noradrenergic neurotransmission. The importance of noradrenergic neurotransmission in social functioning is supported by studies with the specific norepinephrine reuptake inhibitor reboxetine. In healthy volunteers, reboxetine increases cooperative social behavior and social drive. A placebo-controlled study in depressed patients comparing reboxetine with the selective serotonin reuptake inhibitor (SSRI) fluoxetine showed significantly greater improvement in social adaptation with reboxetine. Two recent studies have examined the effect of the serotonin and norepinephrine reuptake inhibitor milnacipran on social adaptation. A study in depressed patients found that at the end of 8 weeks of treatment with milnacipran, 42.2% patients were in remission on the Social Adaptation Self-evaluation Scale (SASS). Another study in depressed workers or homemakers found that mean depression scores were significantly reduced after 2 weeks, whereas the SASS scores were significantly improved after 4 weeks. A preliminary study comparing depressed patients treated with milnacipran or the SSRI paroxetine showed that milnacipran treatment resulted in a greater number of patients in social remission. The available data thus suggest that milnacipran may improve social functioning, with a possibly greater effect than the SSRI paroxetine. These preliminary data suggest further evaluation of social dysfunction and its treatment outcome in future trials of milnacipran.
Discontinuous Galerkin methods for solving elliptic and parabolic equations - theory and implementation

Discontinuous Galerkin (DG) methods for solving partial differential equations, developed in the late 1990s, have become popular among computational scientists. This book covers both theory and computation as it focuses on three primal DG methods--the symmetric interior penalty Galerkin, incomplete interior penalty Galerkin, and nonsymmetric interior penalty Galerkin which are variations of interior penalty methods. The author provides the basic tools for analysis and discusses coding issues, including data structure, construction of local matrices, and assembling of the global matrix. Computational examples and applications to important engineering problems are also included. Discontinuous Galerkin Methods for Solving Elliptic and Parabolic Equations: Theory and Implementation is divided into three parts: Part I focuses on the application of DG methods to second order elliptic problems in one dimension and in higher dimensions. Part II presents the time-dependent parabolic problems without and with convection. Part III contains applications of DG methods to solid mechanics (linear elasticity), fluid dynamics (Stokes and Navier Stokes), and porous media flow (two-phase and miscible displacement). Appendices contain proofs and MATLAB code for one-dimensional problems for elliptic equations and routines written in C that correspond to algorithms for the implementation of DG methods in two or three dimensions. Audience: This book is intended for numerical analysts, computational and applied mathematicians interested in numerical methods for partial differential equations or who study the applications discussed in the book, and engineers who work in fluid dynamics and solid mechanics and want to use DG methods for their numerical results. The book is appropriate for graduate courses in finite element methods, numerical methods for partial differential equations, numerical analysis, and scientific computing. Chapter 1 is suitable for a senior undergraduate class in scientific computing. Contents: List of Figures; List of Tables; List of Algorithms; Preface; Part I: Elliptic Problems; Chapter 1: One-dimensional problem; Chapter 2: Higher dimensional problem; Part II: Parabolic Problems; Chaper 3: Purely parabolic problems; Chapter 4: Parabolic problems with convection; Part III: Applications; Chapter 5: Linear elasticity; Chapter 6: Stokes flow; Chapter 7: Navier-Stokes flow; Chapter 8: Flow in porous media; Appendix A: Quadrature rules; Appendix B: DG codes; Appendix C: An approximation result; Bibliography; Index.
Scott Modules and Lower Defect Groups

PCT No. PCT/AU93/00650 Sec. 371 Date Aug. 17, 1995 Sec. 102(e) Date Aug. 17, 1995 PCT Filed Dec. 14, 1993 PCT Pub. No. WO94/13949 PCT Pub. Date Jun. 23, 1994An electronic timing system for producing precise timing control signals to the fuel injectors and ignition coils of an internal combustion engine. The system includes a cylinder cycle marker circuit (16) for generating an engine cycle reference signal based on the detected operational position of the engine as indicated by a TDC signal and a fly wheel teeth (FWT) signal. The system also includes a cylinder sequencer (22) for controlling the sequence of combustion in respective cylinders of the engine responsive to the engine cycle reference signal. A multiplying circuit (14) is provided for multiplying the incoming FWT signal to produce a high resolution engine rotation signal which is a programmable integer multiple of the FWT signal. Injector and ignition timing control signals can be delayed by timers (24, 26) with a programmable delay specified in terms of an integer multiple of the multiplied FWT signal, and can therefore be precisely set in terms of DEG crank angle before TDC regardless of the engine speed. Furthermore, being angle referenced each programmable delay at least maintains the last calculated advance setting regardless of changes in engine speed.
Teachers’ Professional Attitudes towards Inclusive Education

In the study, an overview of the current situation in the field of inclusive education in Slovakia is presented. Since teachers’ attitudes towards inclusive education are among the key determinants of the success or failure of SEN students’ inclusion in mainstream schools, the main objective of the study was to investigate them in the context of implementing the new Strategy for Inclusive Education in Slovakia. In this quantitative study, Mahat [1] "The Multidimensional Attitudes Toward Inclusive Education Scale (MATIES)" was used and three components of teachers’ attitudes – cognitive, affective, and behavioral – were examined by means of univariate, bivariate, and multivariate methods of statistical analysis. As the aging of the teaching population is an issue in Slovakia, age-related peculiarities were focused on in the study. The findings revealed statistically significant differences in the affective and behavioral components between the two examined age-groups of teachers. Since no extensive study has been focused on teachers’ attitudes towards replacing school integration by school inclusion in Slovakia, the proposed study aims to fill the gap and provide unique data useful in the process of changing traditional schools into inclusive ones. The obtained results also point to the importance of considering teachers’ attitudes towards any changes to be introduced. Doi: 10.28991/ESJ-2022-SIED-02 Full Text: PDF
A comparative analysis of the circular economy performances for European Union countries

ABSTRACT Circular economy (CE), which has emerged with the integration of environmental science and sustainable development, has a significant contribution to human development and is a constantly developing concept that can be measured at the country, region, city, or enterprise level. Evaluating the CE performances of the European Union (EU) member countries at specific periods is crucial for monitoring their development. This study bridges the gap in the literature in terms of the method, dataset, and comparative analysis used while measuring the CE performances, and this is one of the first studies to look at the importance weights of CE criteria. In this study, a novel approach is proposed to evaluate the CE performances of EU member countries. The evaluation criteria are based on the European Commission CE monitoring framework in the proposed approach. The importance weights of criteria are determined using the fuzzy Simple Multi-Attribute Rating Technique (SMART) approach. The EU member countries are ranked according to their CE performances with the Combinative Distance-Based Assessment (CODAS) method considering the weights of the evaluation criteria. The proposed evaluation approach is applied by taking 2014, 2016, and 2018 years data into account. As a result of the application, according to the CE efficiency, the top five countries are the Netherlands, Luxembourg, Belgium, France, and Germany. The study’s findings can assist researchers and policymakers in gaining a better understanding of countries’ CE performance levels.
Learning in the Online Classroom: Exploring the Unique Influence of Social Presence Dimensions

ABSTRACT Exploring social presence could help create socially rich learning experiences in an online learning environment. To better understand social presence in online education, the present study conducted an online survey with 430 undergraduate students in the U.S. during the time of the COVID 19 pandemic in 2020. Results from an EFA (Exploratory Factor Analysis) reveal a five-dimensional measurement of social presence in the online learning context, social richness, co-presence, actor within a medium, passive interpersonal, community within a medium. When examining how each dimension plays a role in learning experiences, results from the multiple linear regression analysis of this study suggest that social richness and co-presence are positively associated with cognitive learning, and social richness and co-presence are positively associated with affective learning. Unexpectedly, the data indicate that actor within a medium is negatively associated with cognitive and affective learning experiences. Additionally, social richness and community within a medium are positively associated with motivation to learn. Overall, the study’s findings suggest the importance of studying the multidimensional aspects of social presence because each dimension could have different roles in online learning.
How to Achieve Universal Health Coverage: A Case Study of Uganda Using the Political Process Model

How can resource-deprived countries accelerate progress towards universal health coverage (UHC)? Here we extend the analysis of Nanini and colleagues to investigate a case-study of Uganda, where despite high-level commitments, health system priority and funding has shrunk over the past two decades. We draw on the Stuckler-McKee adapted Political Process model to evaluate three forces for effecting change: reframing the debate; acting on political windows of opportunity; and mobilising resources. Our analysis proposes a series of pragmatic steps from academics, non-governmental organisations, and government officials that can help neutralise the forces that oppose UHC and overcome fragmentation of the pro-UHC movement.
A computational study of the double hysteresis phenomenon during reactive sputtering

When process parameters such as the reactive gas partial pressure or the discharge voltage are studied as a function of the reactive gas flow during reactive magnetron sputtering, the obtained curve has an S-shape. A direct consequence of this behaviour is that process control based on the reactive gas flow exhibits hysteresis. Under specific conditions, it is possible to observe two S-shaped curves: one when the reactive gas pressure is increased, the other during the return to the initial state by decreasing the reactive gas pressure. This behaviour has been described as double hysteresis behaviour. The origin of the double hysteresis behaviour is computationally studied by high-throughput calculations using a previously developed model. The influence of different process and material parameters were evaluated based on newly developed measures to characterize the calculated process curves. This high-throughput analysis reveals that the double hysteresis behaviour is linked to the difference in the removal rate of non-reacted implanted ions during the increase and decrease of the reactive gas pressure. Within the parameter space a region can be defined for which the double hysteresis behaviour is strong. The latter can not only assist further experiments to study this behaviour but also defines conditions to limit its impact. For Al, a discharge current density of approximately 0.025 A cm−2 was found to maximize double hysteresis.
Mutational landscape of DNA damage response deficiency-related genes and its association with immune biomarkers in esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) has limited effective treatment strategies. DNA damage response (DDR) genes are of therapeutic interest in multiple cancer types. This study aimed to depict the landscape of DDR mutations in ESCC and evaluate the association between DDR mutations and known immunotherapy biomarkers. We recruited 250 Chinese patients with ESCC and performed next-generation sequencing. A total of 107 patients underwent a PD-L1 examination. Among the 250 patients, 73 (29.2%) harbored at least one DDR gene mutation and were defined as DDR-mut. Among the six functional DDR pathways, homologous recombination (HR) accounted for 12.4% (31/250). DDR-mut patients were significantly associated with higher tumor mutational burden than those in the DDR-wt group (p = 7.4e-07). Patients with PDL1-H accounted for 21.2% (36/107) of the patients. PDL1-H was more prevalent in DDR-mut than DDR-wt, although the p-value did not reach a significant level (40.5% vs. 30%, p = 0.29). Further analysis revealed that BRCA1, one of the most frequently mutated genes in the HR pathway, was significantly associated with PDL1-H (p = 0.01). Our data revealed a subset of patients with ESCC harbored DDR gene mutations. Patients with these DDR gene mutations are significantly associated with immune biomarkers, implying the potential feasibility of combining DDR agents with immunotherapy in patients with DDR deficiency.
Compassion fatigue, compassion satisfaction, and burnout, and their associations with anxiety and depression in UK police officers: A mixed method analysis

Professional quality of life (ProQoL) variables, compassion fatigue (CF), compassion satisfaction (CS) and burnout are understudied in the police population. Here, we examine any associations between ProQoL and anxiety, depression and personal QoL. Study 1: A cross-sectional survey (N = 100) demonstrated CF and burnout are significantly associated with higher anxiety and depression, whereas CS is significantly associated with lower anxiety and depressive symptomology. When controlling for CS, CF is still significantly associated with higher anxiety and depression. Study 2: Semi-structured interviews (N = 6) revealed themes of perceived awareness and personal impacts of ProQoL. Police interventions should focus on ProQoL variables as the root cause of common mental health complaints.
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity

Abstract We propose a projection-based test to check logistic regression models when the dimension of the covariate vector may be divergent. The proposed test achieves a reduction in dimension, and the proposed method behaves as if only a single covariate is present. The test is shown to be consistent and can detect root-n local alternatives. We derive the asymptotic distribution of the proposed test under the null hypothesis and establish the test’s asymptotic behavior under the local and global alternatives. The numerical performance is remarkably attractive comparing to the existing methods. Real examples are presented for illustration. Supplementary materials for this article are available online.
Eco-Friendly Dyeing of Viscose Rayon Fabrics Using Anthocyanin from Hibiscus sabdariffa Linn

ABSTRACT This paper investigates the feasibility of dyeing viscose rayon fabric with an anthocyanin solution extracted from H. sabdariffa L. calyces. For eco-friendly dyeing and improvement of the natural dye’s affinity to fabrics, natural mordants instead of traditional metallic mordants were applied. The effect of natural mordant types and mordanting procedures (pre-, meta- and after-mordanting) was evaluated by colorimetric measurement (CIE Lab and K/S values) and color fastness. Four natural mordants including alginate, walnut hull, lemon peel, and pinecone were used. The results show that the light and wash fastness (1–2 degrees according to the blue scale and the grayscale) of the un-mordanted viscose fabric were very low and unsuitable. Natural mordants, especially walnut husk and alginate, could improve color strength and color fastness. The light fastness value of the dyed fabric was improved, reaching a value of 5–6 in the presence of walnut, lemon, and pinecone mordants. The highest wash and light fastness was obtained when the after-mordanting method was used. Also, the use of walnut husk mordant increased the color strength and decreased the lightness of the dyed fabrics, as compared to other natural mordants, in all three methods of mordanting.