bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of optimal obesity cut-offs among Tripuri and Halam women of Tripura, Northeast India
Authors: Chaudhuri Rima , Das Priyanka , Sarkar Pranabesh , Chatterjee Diptendu , Bandyopadhyay Arup Ratan 
Published: February 2021

Obesity is one of the risk assessments for various non-communicable diseases (NCDs), while anthropometric measurements are one of the measures of obesity, which has been demonstrated as a time-tested important technique for risk assessment of NCDs. Due to variation of anthropometric measurements, it seems difficult to classify obesity using world cut-offs in different population groups.
The objective of the present study is to discern the population-specific obesity cut-offs and the best obesity predictor among two indigenous ethnic groups (Tripuri and Halam women) of Tripura, North East India.
The subjects of the present study were 88 Tripuri and 98 Halam adult women whose anthropometric measurements were obtained by using standard techniques. The area under curve (AUC) and Youden index (YI) were used to evaluate the performance of each anthropometric adiposity indicator as well as optimal obesity cut-offs.
The age and waist-hip ratio (WHR) was significantly higher (p < 0.05) in Tripuris compared to Halams. However, no significant (p > 0.05) differences were observed in obesity categorized by body mass index (BMI) using the WHO 2004 cut-off between the populations. Waist stature ratio (WSR) (AUC = 0.959) and waist circumference (WC) (AUC = 0.804) were better obesity predictors for Halams and Tripuris respectively. The present study envisaged the optimal cut-off points, which were 84.95 cm for WC, 96.45 cm for hip circumference (HC), 29.95% for the percentage of body fat (PBF), 0.89 for WHR, 0.57 for WSR and 1.27 for conicity index (CI) in Halams, while for the Tripuris, the optimal cut-off points were 89.6 cm for WC, 97.5 cm for HC, 33.1% for PBF, 0.95 for WHR, 0.55 for WSR and 1.02 for CI.
In conclusion, the present study indicated the optimal anthropometric cut-offs which could be the redefined the parameters for assessment of obesity in Halam and Tripuri women.
Disorders of the anxiety-depressive spectrum in patients with rheumatic diseases
Authors: Fleyshman A. 
Published: February 2021

Anxiety and depressive disorders play an important role not only as independent diseases, but also as conditions that occur against the background of other somatic diseases. In the practice of a rheumatologist, patients with anxiety and depression are a frequent occurrence. In patients with autoimmune rheumatic diseases, anxiety and depressive disorders are 7-15 times more common than in the general population. The main cause of depression in rheumatology is the presence of severe and chronic pain.
Studies show that in patients with rheumatic diseases, as a rule, the following disorders of the anxiety-depressive spectrum of RTDS are detected: depressive episodes of various severity with concomitant anxiety, dysthymia, generalized anxiety disorder. Taking into account the peculiarities of diseases, the supervision of patients with anxiety and depressive disorders should be carried out by several specialists, namely a rheumatologist, a psychiatrist, a clinical psychologist. Therapy of anxiety and depressive disorders, in addition to drugs aimed at the main rheumatic disease, must also include drugs with antidepressant and anxiolytic properties (neuroleptics, antidepressants).
Bail-in and Bailout: Friends or Foes?
Authors: Pandolfi Lorenzo 
Published: February 2021

This paper analyzes the effects of bail-in and bailout policies on banks’ funding costs, incentives for loan monitoring, and financing capacity. In a model with moral hazard and two investment stages, a full bail-in turns out to be, ex post, the optimal policy to deal with a failing bank. Unlike a bailout, it allows the government to recapitalize the bank without resorting to distortionary taxes. As a consequence, however, investors expect bail-ins rather than bailouts. Ex ante, this raises banks’ cost of debt and depresses bankers’ incentives to monitor. When moral hazard is severe, this time inconsistency leads to a credit market collapse in which productive projects are not financed, unless the government precommits to an alternative resolution policy. The optimal policy is either a combination of bail-in and bailout—in which the government uses a minimal amount of public transfers to lower banks’ cost of debt—or liquidation, depending on the severity of moral hazard and the shadow cost of the partial bailout. This paper was accepted by Gustavo Manso, finance.
Recognition Insect Images at the Order Level Based on Elliptic Metric Learning
Authors: Bao Wenxia , Qiu Xiang , Liang Dong , Hu Gensheng , Huang Linsheng , Shen Jiankun 
Published: February 2021

HighlightsInsect order recognition.Space transformation combined with elliptic metric.Feature fusion with the Relief-F for the sliding window feature and HOG feature.The recognition accuracy of insect images at the order level is 95.8%.Abstract. The accurate recognition of insects is crucial for the protection and management of crops, vegetables, and fruit trees. This study proposes a recognition algorithm for insect images at the order level based on elliptic metric learning to improve the accuracy of the recognition. The nonlinear transformation that reflects the space structure or semantic information of insect image features is determined via elliptic metric learning. Then, the model for the potential relationship among insect image features is built. This model reduces the distance between same-order features but increases the distance between different-order features, improving the discriminative performance of classifiers. In elliptic metric learning, the regular term of the Frobenius norm is added to the triple constraint function to avoid overfitting and improve generalization ability. Moreover, to weaken the effects of image scale, rotation, and other changes on the recognition result, the sliding window method is used to extract the HSV color feature and the scale-invariant local ternary pattern texture feature of insect images. The feature vector is formed by gathering the maximum value of the features in the same horizontal sliding window. The features of the histogram of oriented gradients are also extracted from the images. Then, the optimized features are gained using the Relief-F algorithm. The results of the experiment on insect images at nine order levels show that the proposed method can significantly improve the recognition accuracy of insect images at the order level. Keywords: Elliptic metric, Insect images at the order level, Object recognition, Triple constraint, Regular term.
Performance Optimization of a Newly Designed Dynamic Fluidic Sprinkler
Authors: Zhu Xingye , Fordjour Alexander , Yuan Shouqi , Dwomoh Frank Agyen , Issaka Zakaria 
Published: February 2021

HighlightsThe results confirmed that the optimal combination of structural parameters was achieved with the factor combination of 25 mm length of the tube, 150 kPa pressure, 3 mm diameter of the tube, and 5 mm nozzle diameter.The influencing factors in decreasing order of importance were: working pressure, length of the tube, and nozzle diameter for coefficient of uniformity, and nozzle diameter working pressure and diameter of the tube for range.Droplet velocities from test 7 ranged between 0 and 6.0 m/s, while that from test 2 was slightly larger, ranging from 0 to 6.7 m/s under low-pressure conditions.ABSTRACT: To select the appropriate combination of the factors for the dynamic fluidic sprinkler, hydraulic performance tests at low pressure were conducted. The main structural parameters in this study were the length of the tube (L), pressure (H), the diameter of the tube (M), nozzle diameter (N), they are represented by factors A, B, C, and D, respectively. An orthogonal array with four factors and three levels was selected, and the direct analysis technique was used to analyze the test data. The droplets and velocities data of the sprinkler were obtained by a Thies Clima Laser Precipitation Monitor. MATLAB R20014a software was used to calculate the simulated coefficient of uniformity (CU). The results showed that the optimum values of the structural parameters were: the length of the tube (25 mm), the working pressure (150 kPa), the diameter of the tube (3 mm), and the nozzle diameter (5 mm). The factors affecting coefficient of uniformity and range, in decreasing order of importance were nozzle diameter, pressure, length of the tube, and the diameter of the tube. The highest coefficient of uniformity obtained was 91% when the length of the tube was 25 mm. Droplet sizes decreased with the increase of pressure. Droplet size ranging from 0.1 to 4 mm was obtained under test 7 with a mean droplet size of 0.38 mm. The study can give a reference to the operation for saving water in sprinkler irrigated fields. Keywords: Droplet, Dynamic fluidic sprinkler, Orthogonal test, Structural parameter, Uniformity, Velocity.
Effect of TiO2 Loading, Water Depth and Light Intensity on Photo-Disinfection Efficacy of Escherichia Coli O157:H7 Using TiO2 NP-Embedded Cellulose Acetate Film in Water
Authors: Xie Jing , Hung Yen-Con 
Published: February 2021

HighlightsPhoto-disinfection using TiO2 NP-embedded CA film showed great potential.TiO2 loading, water depth, and light intensity affected TiO2 photo-disinfection.Bacterial reduction can be predicted based on water depth and light intensity.Durability of the TiO2 NP-embedded CA film has been demonstrated.Abstract. Photocatalysis disinfection has great potential for food and water safety applications. TiO2 NP-embedded cellulose acetate (CA) film has shown effectiveness in inactivating Escherichia coli (E. coli) O157:H7 in water. This study evaluated the effect of several operational parameters such as TiO2 load, light intensity, and water depth on photo-disinfection efficacy of TiO2 NP-embedded CA film. Effect of TiO2 load on photocatalysis disinfection efficacy was investigated by assessing the disinfection rate of the films at different TiO2 levels in inoculated water at a weak UV-A light intensity. The individual and interaction effects of light intensity and water depth on photocatalysis disinfection were evaluated using the response surface methodology (RSM). Based on a central composite design, 13 runs of experiments were conducted with the combination of the two factors at three levels. The effect of film size on photo-disinfection efficacy was also investigated. Results showed that CA film with a TiO2 load of 0.82 mg/cm2 yielded the highest disinfection rate. An empirical model was established to predict the effect of light intensity and water depth on bacterial reduction with a high coefficient of determination (R2 = 0.98). An increased water depth or a decreased light intensity reduced photo-inactivation efficacy. A 5 log reduction was achieved during a 3-h treatment at a light intensity of 1 mW/cm2 and water depth at 1.6 cm. The photo-disinfection efficacy of the film was not significantly (p&gt;0.05) affected by film size. The CA film was able to maintain antimicrobial efficacy after four repeated uses. Results from this study demonstrated that UV-A assisted photo-disinfection using TiO2 NP-embedded CA film has great potential to inactivate pathogens in water. Keywords: Cellulose Acetate, E. coli O157:H7, Photocatalysis, TiO2 nanoparticles, Water Treatment.
Continuous-wave cascaded second Stokes diamond Raman laser at 1477  nm
Authors: Heinzig Matthias , Palma-Vega Gonzalo , Yildiz Benjamin , Walbaum Till , Schreiber Thomas , Tünnermann Andreas 
Published: February 2021

We report a high brightness cascaded Stokes diamond Raman laser with a diffraction limited beam quality pumped by an Yd-doped fiber laser. The Raman laser operated at 1477 nm and reached an output power of 63 W with 214 W pump power in continuous-wave mode. Conversion efficiency over 30% was achieved using a single pump pass concentric cavity that was highly resonant at the first Stokes and had high outcoupling at the second Stokes (45%). Thermal limitations were investigated as well as the temporal behavior of the first and second Stokes intra-cavity power.
Flexible wavelength generation from a Yb-doped fiber laser incorporating multifunctional acousto-optic tunable filter
Authors: Yue Wenjie , Chen Tao , Kong Wei , Ji Zhongpeng , Yin Lu , Huang Genghua , He Zhiping , Shu Rong 
Published: February 2021

We have demonstrated a Yb-doped fiber laser (YDFL) based on a multifunctional acousto-optic tunable filter (AOTF) with flexible wavelength generation capability. The number of channels, as well as their diffracted wavelengths and corresponding peak transmittances of the AOTF, can be widely tuned by changing the composite drive signal from a homemade arbitrary wave generation (AWG) board enabling single-/multi-wavelength lasing with different central wavelengths and relative intensities. The maximal wavelength tuning range and minimal resolved wavelength spacing are

∼

80

n
m

and

∼

1.5

n
m

, respectively, with 3 dB bandwidth less than 0.15 nm for each laser line, showing great potential for further nonlinear frequency conversion. To the best of our knowledge, this is the first demonstration of flexible wavelength generation from a multifunctional AOTF-based YDFL directly driven by an AWG board.
Quantification of fibroblast growth factor 23 and N-terminal pro-B-type natriuretic peptide to identify patients with atrial fibrillation using a high-throughput platform: A validation study
Authors: Chua Winnie , Law Jonathan P. , Cardoso Victor R. , Purmah Yanish , Neculau Georgiana , Jawad-Ul-Qamar Muhammad , Russell Kalisha , Turner Ashley , Tull Samantha P. , Nehaj Frantisek , Brady Paul , Kastner Peter , Ziegler André , Gkoutos Georgios V. , Pavlovic Davor , Ferro Charles J. , Kirchhof Paulus , Fabritz Larissa 
Published: February 2021

BackgroundLarge-scale screening for atrial fibrillation (AF) requires reliable methods to identify at-risk populations. Using an experimental semi-quantitative biomarker assay, B-type natriuretic peptide (BNP) and fibroblast growth factor 23 (FGF23) were recently identified as the most suitable biomarkers for detecting AF in combination with simple morphometric parameters (age, sex, and body mass index [BMI]). In this study, we validated the AF model using standardised, high-throughput, high-sensitivity biomarker assays.Methods and findingsFor this study, 1,625 consecutive patients with either (1) diagnosed AF or (2) sinus rhythm with CHA2DS2-VASc score of 2 or more were recruited from a large teaching hospital in Birmingham, West Midlands, UK, between September 2014 and February 2018. Seven-day ambulatory ECG monitoring excluded silent AF. Patients with tachyarrhythmias apart from AF and incomplete cases were excluded. AF was diagnosed according to current clinical guidelines and confirmed by ECG. We developed a high-throughput, high-sensitivity assay for FGF23, quantified plasma N-terminal pro-B-type natriuretic peptide (NT-proBNP) and FGF23, and compared results to the previously used multibiomarker research assay. Data were fitted to the previously derived model, adjusting for differences in measurement platforms and known confounders (heart failure and chronic kidney disease). In 1,084 patients (46% with AF; median [Q1, Q3] age 70 [60, 78] years, median [Q1, Q3] BMI 28.8 [25.1, 32.8] kg/m2, 59% males), patients with AF had higher concentrations of NT-proBNP (median [Q1, Q3] per 100 pg/ml: with AF 12.00 [4.19, 30.15], without AF 4.25 [1.17, 15.70];p <0.001) and FGF23 (median [Q1, Q3] per 100 pg/ml: with AF 1.93 [1.30, 4.16], without AF 1.55 [1.04, 2.62];p <0.001). Univariate associations remained after adjusting for heart failure and estimated glomerular filtration rate, known confounders of NT-proBNP and FGF23. The fitted model yielded a C-statistic of 0.688 (95% CI 0.656, 0.719), almost identical to that of the derived model (C-statistic 0.691; 95% CI 0.638, 0.744). The key limitation is that this validation was performed in a cohort that is very similar demographically to the one used in model development, calling for further external validation.ConclusionsAge, sex, and BMI combined with elevated NT-proBNP and elevated FGF23, quantified on a high-throughput platform, reliably identify patients with AF.Trial registrationRegistry IRAS ID 97753 Health Research Authority (HRA), United Kingdom
Neuronal Activity in the Posterior Cingulate Cortex Signals Environmental Information and Predicts Behavioral Variability during Trapline Foraging
Authors: Barack David L. , Platt Michael L. 
Published: February 2021

Animals engage in routine behavior to efficiently navigate their environments. This routine behavior may be influenced by the state of the environment, such as the location and size of rewards. The neural circuits tracking environmental information and how that information impacts decisions to deviate from routines remain unexplored. To investigate the representation of environmental information during routine foraging, we recorded the activity of single neurons in posterior cingulate cortex (PCC) in 2 male monkeys searching through an array of targets in which the location of rewards was unknown. Outside the laboratory, people and animals solve such traveling salesman problems by following routine traplines that connect nearest-neighbor locations. In our task, monkeys also deployed traplining routines; but as the environment became better known, they deviate from them despite the reduction in foraging efficiency. While foraging, PCC neurons tracked environmental information but not reward and predicted variability in the pattern of choices. Together, these findings suggest that PCC may mediate the influence of information on variability in choice behavior.SIGNIFICANCE STATEMENTMany animals seek information to better guide their decisions and update behavioral routines. In our study, subjects visually searched through a set of targets on every trial to gather two rewards. Greater amounts of information about the distribution of rewards predicted less variability in choice patterns, whereas smaller amounts predicted greater variability. We recorded from the posterior cingulate cortex, an area implicated in the coding of reward and uncertainty, and discovered that these neurons signaled the expected information about the distribution of rewards instead of signaling expected rewards. The activity in these cells also predicted the amount of variability in choice behavior. These findings suggest that the posterior cingulate helps direct the search for information to augment routines.
Critical View on The Existence of Gambus Tunggal Lampung: Promoting Collaborative Working Between Artists and Stakeholders
Authors: Tejapermana Prisma , Hidayatullah Riyan 
Published: February 2021

The Lampung societies have many arts and cultures, one of which is a gambus tunggal. The characteristic of gambus that are played solely and has an original tuning system. A gambus tunggal style produces a melodic tone, accompanied by chanted poems that involve new romantic romance of Lampung, or parents’ advice to their children. This ethnography study aims to comprehend how the gambus tunggal artists maintain the existence in Lampung. The study applies a descriptive method with a qualitative idea. We have interrogated and field studies to gather primary data. A purposive sampling technique was used to interview a gambus tunggal player who existed for decades. The result indicates that a gambus tunggal artist is doing a collaborative struggle to support gambus tunggal and living sources’ survival. They need collaboration to keep the existence of traditional Lampung music. Gambus players have considered using social media as a promotional strategy. The local government’s role has a tremendous impact, for example, providing an opportunity to perform gambus tunggal at various events, festivals, and many competitions. Therefore, the tourism sector is the foundation of Lampung’s traditional music. It establishes policies to serve various performing arts.
Performance of public R&D systems: Case study of Visegrad countries
Authors: Vlk Aleš , Fojt Otakar , Stanzel Jiří 
Published: February 2021

AbstractThe purpose of our contribution is to discuss shortcomings of purely descriptive quantitative evaluation of research policies – based either on inputs (public investment, number of researchers), or outputs (publications, EU grants, number of patents). To give an example, we compare selected indicators across Visegrad countries in the period between 2006 and 2015. We conclude that both quantitative and qualitative perspectives as well as societal and political contexts should be taken into account when the performance of any R&D system and the impact of public investments into a public R&D sector are scrutinized.
Entity encounters and the therapeutic effect of the psychedelic mystical experience
Authors: Lutkajtis Anna 
Published: February 2021

AbstractResearch suggests that the clinical and therapeutic effects of psychedelics are related to their ability to induce a mystical-type experience. One particularly interesting feature of the psychedelic mystical experience is the entity encounter - people who take psychedelics sometimes describe meetings with seemingly autonomous entities which appear to possess intelligence and agency. While there has been little empirical research into psychedelic entity phenomena, qualitative studies and anecdotal reports suggest that entity encounters can have profound and lasting positive after-effects. Based on the existing data, this article argues that there is value in exploring the therapeutic potential of psychedelic entity encounters. Specifically, it proposes three possible ways that entity encounters might mediate the therapeutic effect of the psychedelic mystical experience.
Das Massaker im Zuchthaus Stein im April 1945 in der medialen Berichterstattung zum Volksgerichtsprozess und im Roman von Robert Streibel
Authors: Heißler Dagmar 
Published: February 2021

Am 6. April 1945 wurden im Zuchthaus Stein über 220 vorwiegend politische Gefangene sowie drei antifaschistische Justizwachebeamte und der Anstaltsdirektor von nationalsozialistischen Aufsehern und von Volkssturm-, Waffen-SS- und Wehrmachtsangehörigen erschossen, um die von der Anstaltsleitung angeordnete Entlassung aller Inhaftierten zu verhindern. Am selben Tag wurden dutzende weitere Häftlinge in Krems an der Donau und in der Umgebung, auch unter Mithilfe der lokalen Bevölkerung, ermordet (‚Kremser Hasenjagd‘).
2015 erschien mit ROBERT STREIBELs Roman April in Stein die erste literarische Auseinandersetzung mit diesem NS-Endphaseverbrechen. Wie sich der Autor diesem Themenkomplex nähert, soll nach einem Abriss der Geschehnisse in Krems-Stein im April 1945 und ihrer Darstellung in der medialen Berichterstattung über den Volksgerichtsprozess im August 1946 erörtert werden.
A SIMPLE SYNTHESIS OF NICKEL OXIDE NANOTUBE USING HIGH VOLTAGE ELECTROLYSIS
Authors: Pramana Yanatra Budi , Setiawan Bramianto , Prihono Prihono , Utomo Yitno , Subandowo Marianus , Budipramana Krisyanti 
Published: February 2021

Recently, the development of nanoparticle nickel oxide has increased due to their potential application such as biosensors, catalysts, solar cells, supercapacitors, and batteries. In this work, the addition of CTAB for nickel oxide nanoparticle synthesis using electrolysis was investigated. The nickel plates were used as anode and cathode in the electrolysis process. The process was operated at a constant voltage of 60 V for 30 minutes. The XRD result showed conformity with the Nickel oxide diffraction pattern. Meanwhile, the impurity from nickel hydroxide peaks still appeared. From FTIR characterization also indicates the band of Ni-O stretching vibration. The morphology characterization of nickel oxide using Scanning Electron Microscopy (SEM) showed the nanotube structure, while Transmission Electron Microscopy showed the nanoparticle size from 250.44 to 325.60 nm in length. On the other hand, the transformation of Ni(OH)2 to NiO has been shown using TGA characterization.