bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tensor mesons, AdS/QCD and information
Authors: Ferreira Luiz F. , da Rocha R. 
Published: May 2020

AbstractThe Kaluza–Klein tower of higher spin-S tensor meson resonances is here scrutinized in the AdS/QCD hard wall model, encompassing the already established resonances $$\rho (770)$$ρ(770), $$f_2(1270)$$f2(1270), $$\omega _3(1670)$$ω3(1670), $$f_4(2050)$$f4(2050), $$\rho _5(2350)$$ρ5(2350), $$f_6(2510)$$f6(2510) in PDG. A hybrid model employs both information theory and AdS/QCD, where configurational-entropic Regge trajectories, relating the configurational entropy of the tensor mesons family to their S spin, and also to their experimental mass spectra, are derived and analyzed. Therefore, the mass spectra of higher spin-S tensor meson resonances is obtained and compared to the existing data in PDG.
Raychaudhuri-based reconstruction of anisotropic Einstein–Maxwell equation in 1+3 covariant formalism of f(R)-gravity
Authors: Tajahmad Behzad 
Published: May 2020

AbstractRecently, a new strategy to the reconstruction of $$f(R)$$f(R)-gravity models based on the Raychaudhuri equation has been suggested by Choudhury et al. (MNRAS 485:5693, 2019). In this paper, utilizing this method, the reconstruction of anisotropic Einstein–Maxwell equation in the $$1+3$$1+3 covariant formalism of $$f(R)$$f(R)-gravity is investigated in four modes: (i) Reconstruction from a negative constant deceleration parameter refereeing to an ever-accelerating universe; (ii) Reconstruction from a constant jerk parameter $$j=1$$j=1 which recovers celebrated $$\varLambda \text {CDM}$$ΛCDM mode of evolution; (iii) Reconstruction from a variable jerk parameter $$j=Q(t)$$j=Q(t); and (iv) Reconstruction from a slowly varying jerk parameter. Furthermore, two suggestions for enhancing the method are proposed.
The effectiveness of using deep learning algorithms in predicting students achievements
Authors: Akour Mohammed , Sghaier Hiba Al , Al Qasem Osama 
Published: May 2020

<p>Educational Data Mining (EDM) research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students’ achievements. Predicting student’s achievements might be useful for building and adopting several changes in the educational environments as a re-action in the current educational systems. Most of the existing research have used machine learning to predict students’ achievements by using diverse attributes such as family income, students gender, students absence and level etc. In this paper, the effort is made to explore the effectiveness of using the deep learning algorithm more precisely CNN to predict students’ achievements which could hlp in predicting if student will be able to finish their degree or not. The experimental results reveal how the proposed model outperformed the existing approaches in terms of prediction accuracy.</p>
Design and simulation of 20MW photovoltaic power plant using PVSyst
Authors: Grover Ashish , Khosla Anita , Joshi Dheeraj 
Published: May 2020

<p>This paper deeply explains the analysis through simulation and sizing of grid connected photovoltaic plant of 20MW for the site Devdurga, Karnataka India with use of PV syst software tool. Primarily, the trajectories the behavior of grid tied photovoltaic system at a particular location. It gives results for the geographical position taken by maps for avoiding the oversizing or under sizing of the systems which projects the installation with very much realistic conditions. The projected area is of about 110 acres would generate 44854 MWh/year for a 20MW PV system, with a performance ratio of 76.28%.Loss fraction taken for simulation and sizing is 2%.The paper also includes the study and behavior of the system with tilt and orientation of the PV Panel which gives better simulation results at similar latitudes for any feasible sizing.</p>
Comparison between amiodarone and lidocaine for ventricular fibrillation treatment during cardiopulmonary resuscitation
Authors: Shin Yoon Ji , Borges Victor André , Souza Heraldo Possolo de 
Published: May 2020

Cardiac arrest is a condition in which the heart mechanical functioning is compromised and usually it is due an electrical dysfunction of the cardiac cells and this can result in disorganization of cardiac rhythm and even heart failure, a situation of medical emergency in which seconds can make the difference between life and death. In cardiac arrest, it’s necessary to perform cardiopulmonary resuscitation (CPR) maneuver and, if there are shockable rhythms (such as ventricular fibrillation and pulseless ventricular tachycardia), defibrillation should be administered on the patient. Even if the cardiac rhythm is reestablished, the condition is still serious due to the risk of recurrent electrical alteration of the heart. With the intent of avoiding a new rhythmic alteration of the heart, it’s ministered antiarrhythmic drugs, such as amiodarone or lidocaine. Eventhough the use of one of these drugs is recommended, there are no consensuses about which one has higher survival rate of patients or which has the highest rate of return of spontaneous circulation. Thus, this systematic review aims to clarify which one of these two drugs is more efficient at preventing new electrical alterations of patients post cardiorespiratory arrest.
Prevalence of hypovitaminosis D in severely obese subjects referred to bariatric surgery
Authors: Palhares de Oliveira Nataly Azenate , Curvello Silva Karine Lima , Silva Thalane Souza Santos , Bastos Isis Henriques de Almeida , Daltro Cláudia da Silva , Daltro Carla Hilário da Cunha 
Published: May 2020

Study Design: Cross-sectional. Objective: Estimating the prevalence of hypovitaminosis D in a group of severely obese subjects referred to bariatric surgery. Methods: This study evaluated severely obese patients aged ≥18 years assisted by a specialized team in bariatric surgery. Clinical, anthropometric, and laboratory data were obtained from patient records. Plasma 25 (OH) D was determined by chemiluminescence and levels ≤ 20 ng/mL was considered as Hypovitaminosis D. The data were analyzed using the Statistical Package for Social Sciences® (SPSS) 20.0. Variables were described using descriptive statistics. For the comparison of the three groups, ANOVA, Kruskal-Wallis, and Pearson's chi-square tests were used. Spearman correlation test was performed to assess correlations between 25(OH)D and the other variables. P-values <0.05 were considered to be significant. Results: The study included 400 individuals, 71% were female with the mean age (SD) and BMI (SD) of 35.6 (9.1) years and 41.4 (5.1) kg/m², respectively. The vitamin D ranged from 4.5 to 62.4 ng/mL and the mean (SD) was 24.7 (7.9) ng/mL. In this sample, 117 (29.3%) individuals had hypovitaminosis D. There was a negative correlation between 25(OH)D and BMI (r= -0.110; p=0.028) and parathormone (r= -0.152; p=0.006) and positive correlation with serum calcium (r= 0.132; p=0.013) and phosphorus (r= 0.116; p=0.027). Conclusion: Severely obese subjects had a high prevalence of hypovitaminosis D even living in a sunny state.
Oxidative Stress Is Associated With Diastolic Dysfunction in Women With Ischemia With No Obstructive Coronary Artery Disease
Authors: Raad Mohamad , AlBadri Ahmed , Wei Janet , Mehta Puja K. , Maughan Jenna , Gadh Adit , Thomson Louise , Jones Dean P. , Quyyumi Arshed A. , Pepine Carl J. , Bairey Merz C. Noel 
Published: May 2020

Background

Women with signs and symptoms of ischemia and no obstructive coronary artery disease often have evidence of diastolic dysfunction. Oxidative stress (
OS
) is associated with cardiovascular risk factors and adverse outcomes. The relationship between systemic
OS
and diastolic dysfunction is unknown.

Methods and Results

A subgroup of women (n=75) with suspected ischemia and no obstructive coronary artery disease who had both cardiac magnetic resonance imaging and
OS
measurements were enrolled in the
WISE
‐
CVD
(Women Ischemia Syndrome Evaluation—Coronary Vascular Dysfunction) study. Left ventricular end‐diastolic pressure was measured invasively. Left ventricular end‐diastolic volume and peak filling rate were assessed using cardiac magnetic resonance imaging. Aminothiol levels of plasma cystine and glutathione were measured as markers of
OS
. Spearman correlation and linear regression analyses were conducted. The group mean age was 54±11 years, and 61% had a resting left ventricular end‐diastolic pressure >12 mm Hg. Cystine levels correlated negatively with the peak filling rate (
r
=−0.31,
P
=0.007) and positively with left ventricular end‐diastolic pressure (
r
=0.25;
P
=0.038), indicating that increased
OS
was associated with diastolic dysfunction. After multivariate adjustment including multiple known risk factors for diastolic dysfunction and cardiovascular medications, cystine levels continued to be associated with peak filling rate (β=−0.27,
P
=0.049) and left ventricular end‐diastolic pressure (β=0.25;
P
=0.035). Glutathione levels were not associated with indices of diastolic function.

Conclusions

OS
, measured by elevated levels of cystine, is associated with diastolic dysfunction in women with evidence of ischemia and no obstructive coronary artery disease, indicating the role of
OS
in patients with ischemia and no obstructive coronary artery disease. Its role in the progression of heart failure with preserved ejection fraction should be explored further.
A Geometric Characterization of Population Coding in the Prefrontal Cortex and Hippocampus during a Paired-Associate Learning Task
Authors: Liu Yue , Brincat Scott L. , Miller Earl K. , Hasselmo Michael E. 
Published: May 2020

Abstract
Large-scale neuronal recording techniques have enabled discoveries of population-level mechanisms for neural computation. However, it is not clear how these mechanisms form by trial-and-error learning. In this article, we present an initial effort to characterize the population activity in monkey prefrontal cortex (PFC) and hippocampus (HPC) during the learning phase of a paired-associate task. To analyze the population data, we introduce the normalized distance, a dimensionless metric that describes the encoding of cognitive variables from the geometrical relationship among neural trajectories in state space. It is found that PFC exhibits a more sustained encoding of the visual stimuli, whereas HPC only transiently encodes the identity of the associate stimuli. Surprisingly, after learning, the neural activity is not reorganized to reflect the task structure, raising the possibility that learning is accompanied by some “silent” mechanism that does not explicitly change the neural representations. We did find partial evidence on the learning-dependent changes for some of the task variables. This study shows the feasibility of using normalized distance as a metric to characterize and compare population-level encoding of task variables and suggests further directions to explore learning-dependent changes in the neural circuits.
Memory of Others' Disclosures Is Consolidated during Rest and Associated with Providing Support: Neural and Linguistic Evidence
Authors: Collier Eleanor , Meyer Meghan L. 
Published: May 2020

Abstract
Social scientists have documented the power of being heard: Disclosing emotional experiences to others promotes mental and physical health. Yet, far less is known about how listeners digest the sensitive information people share with them. We combined brain imaging and text analysis methods with a naturalistic emotional disclosure paradigm to assess how listeners form memories of others' disclosures. Neural and linguistic evidence support the hypothesis that listeners consolidate memories for others' disclosures during rest after listening and that their ability to do so facilitates subsequently providing the speakers with support. In Study 1, brain imaging methods showed that functional connectivity between the dorsomedial subsystem of the default network and frontoparietal control network increased during rest after listening to others' disclosures and predicted subsequent memory for their experiences. Moreover, graph analytic methods demonstrated that the left anterior temporal lobe may function as a connector hub between these two networks when consolidating memory for disclosures. In Study 2, linguistic analyses revealed other-focused thought increased during rest after listening to others' disclosures and predicted not only memory for the information disclosed but also whether listeners supported the speakers the next day. Collectively, these findings point to the important role of memory consolidation during rest in helping listeners respond supportively to others' disclosures. In our increasingly busy lives, pausing to briefly rest may not only help us care for ourselves but also help us care for others.
A new species of Microlaimus de Man 1880 (Nematoda: Microlaimidae) from the Black Sea
Authors: REVKOVA TATIANA N. 
Published: May 2020

Microlaimus sergeevae sp. n. is described and illustrated from the Crimea shelf of the Black Sea. It is characterized by the 1301–1728 μm long body; cuticle with distinct annuli; spicules 34–37 μm long, curved; gubernacular apophyses 20–25 μm long, surrounding distal end of spicules; criptocyrcular amphidial fovea 7–8 μm in diameter; cervical setae present; four submedian rows of pores spreading along the whole body length, and eight precloacal supplements in males. The new species morphologically resembles M. gerlachi Wieser 1954, M. paraborealis Allgen 1940a and M. kaurii Wieser 1954, but differs from them by the length of cephalic setae, size of the body, presence of cervical setae, shape of the gubernacular apophyses, eight tubular precloacal supplements and submedian rows of pores spreading along the whole body length. M. sergeevae sp. n. differs from M. gerlachi by having a smaller amphidial fovea, shorter spicules and gubernacular apophyses. The new species differs from M. paraborealis by having larger value of c. It differs from M. kaurii by having longer spicules and larger values of c and b.
The Critical Role of Non-Normality in Partitioning Tropical and Extratropical Contributions to PNA Growth
Authors: Henderson Stephanie A. , Vimont Daniel J. , Newman Matthew 
Published: May 2020

AbstractThe Pacific–North American (PNA) teleconnection pattern has been linked both to tropical phenomena, including the Madden–Julian oscillation (MJO) and El Niño–Southern Oscillation (ENSO), and to internal extratropical processes, including interactions with the zonally varying basic state and synoptic eddies. Many questions remain, however, concerning how these various relationships act, both separately and together, to yield observed PNA variability. Using linear inverse modeling (LIM), this study finds that the development and amplification of PNA anomalies largely results from the interference of modes strongly coupled to sea surface temperatures (SST), such as ENSO, and modes internal to the atmosphere, including the MJO. These SST-coupled and “internal atmospheric” modes form subspaces that are not orthogonal, and PNA growth is shown to occur via non-normal interactions. An internal atmospheric space LIM is developed to examine growth beyond this interference by removing the SST-coupled modes, effectively removing ENSO and retaining MJO variability. Optimal PNA growth in the internal atmospheric space LIM is driven by MJO heating, particularly over the Indian Ocean, and a retrograding northeast Pacific streamfunction anomaly. Additionally, the individual contributions of tropical heating and the extratropical circulation on PNA growth are investigated. The non-normal PNA growth is an important result, demonstrating the difficulty in partitioning PNA variance into contributions from different phenomena. This cautionary result is likely applicable to many geophysical phenomena and should be considered in attribution studies.
The effect of response order on candidate viewing behaviour and item difficulty in a multiple-choice listening test
Authors: Holzknecht Franz , McCray Gareth , Eberharter Kathrin , Kremmel Benjamin , Zehentner Matthias , Spiby Richard , Dunlea Jamie 
Published: May 2020

Studies from various disciplines have reported that spatial location of options in relation to processing order impacts the ultimate choice of the option. A large number of studies have found a primacy effect, that is, the tendency to prefer the first option. In this paper we report on evidence that position of the key in four-option multiple-choice (MC) listening test items may affect item difficulty and thereby potentially introduce construct-irrelevant variance. Two sets of analyses were undertaken. With Study 1 we explored 30 test takers’ processing via eye-tracking on listening items from the Aptis Test. An unexpected finding concerned the amount of processing undertaken on different response options on the MC questions, given their order. Based on this, in Study 2 we looked at the direct effect of key position on item difficulty in a sample of 200 live Aptis items and around 6000 test takers per item. The results suggest that the spatial location of the key in MC listening tests affects the amount of processing it receives and the item’s difficulty. Given the widespread use of MC tasks in language assessments, these findings seem crucial, particularly for tests that randomize response order. Candidates who by chance have many keys in last position might be significantly disadvantaged.
Differentiation between non-hypervascular pancreatic neuroendocrine tumors and mass-forming pancreatitis using contrast-enhanced computed tomography
Authors: Wang Yajie , Chen Xin , Wang Jianhua , Cui Wenjing , Wang Cheng , Chen Xiao , Wang Zhongqiu 
Published: May 2020

Background Non-hypervascular pancreatic neuroendocrine tumors (PNETs) showed slight or iso-enhancement in contrast-enhanced computed tomography (CE-CT), which shared similar imaging findings with mass-forming pancreatitis (MFPs). Purpose To explore the value of CT imaging features in differentiating the two diseases. Material and Methods Fifty-one patients with histologically proved MFPs (n = 27) or non-hypervascular PNETs (n = 24) were included. Two radiologists reviewed CT imaging findings and clinical features. Logistic regression analysis was performed to identify relevant features in differentiating non-hypervascular PNETs and MFPs. Receiver operating characteristic (ROC) curve analysis was used to show the performance of the optimal parameters in differentiating non-hypervascular PNETs and MFPs. Results A well-defined margin was more common in non-hypervascular PNETs ( P < 0.05) than that in MFPs. MFPs often occurred in older people ( P < 0.01) and the head–neck of the pancreas compared with non-hypervascular PNETs ( P < 0.05). Metastases only presented in non-hypervascular PNETs ( P < 0.05). CT values at venous phase and delay phase of MFPs were higher ( P = 0.010 and P = 0.029) than those in non-hypervascular PNETs. Logistic analysis showed gender, tumor margin, CT values at venous phase, and tumor components were independent predictors in differentiating the two lesions. The area under the curve (AUC) was 0.938 with a sensitivity of 87.5% and specificity of 92.6% for combined predicators. Conclusion Gender, tumor margin, CT values at venous phase, and tumor components were useful predicators in differentiating non-hypervascular PNETs and MFPs.
Future-Oriented Repetitive Thought: Pessimistic View of Future in Patients With Alzheimer Disease
Authors: El Haj Mohamad , Boudoukha Abdel Halim , Moustafa Ahmed A. 
Published: May 2020

Objective: In this study, we, for the first time, evaluated future-oriented repetitive thought in patients with Alzheimer disease (AD), that is, how they think and worry about the future. Methods: We administered the Future-Oriented Repetitive Thought scale to 34 patients with AD and 37 control participants. This scale assessed 3 categories of future-oriented repetitive thought: (1) pessimistic repetitive future thinking (eg, “I think about the possibility of losing people or things that are important to me”), (2) repetitive thinking about future goals (eg, “I make specific plans for how to get things that I want in life”), and (3) positive indulging about the future (eg, “When I picture good things happening in my future, it is as if they were actually happening to me now”). Results: Analysis demonstrated more pessimistic repetitive future thinking, but less repetitive thinking about future goals and positive indulging about the future, in patients with AD than in control participants. Conclusion: Our findings demonstrate a pessimistic view of future in patients with AD, which is possibly attributed to hopelessness and depression.
Supporting partners of mothers with severe mental illness through text – a feasibility study
Authors: Fletcher Richard , StGeorge Jennifer M , Rawlinson Cate , Baldwin Andrea , Lanning Paul , Hoehn Elisabeth 
Published: May 2020

Objective: During the perinatal period, partners of mothers with severe mental illness (SMI) play an important role in managing the new baby and supporting the mothers’ wellbeing. Providing information via mobile phone on infant care, partner support and self-care may assist partners in their support role. Method: Partners (n = 23) of mothers with SMI were enrolled in a partner-focused SMS service sending brief texts 14 times per month for a maximum of 10 months. Partners (n = 16) were interviewed on exit and their responses analysed for acceptability and perceived usefulness of the texts. Results: Partners remained with the programme and expressed high acceptability of the texts. Participants identified effects such as increased knowledge of and interaction with their baby; effective support for their partner; and reassurance that ‘things were normal’. Few partners sought support for their own mental health. Conclusions: Texts supplied to mobile phones of partners of new mothers with SMI may increase partners’ support. The texts in this study were acceptable to partners and were reported to enhance a partner’s focus on the mother’s needs, raise the partner’s awareness of the infant’s needs, and support the partner’s confidence and competence in infant care.