bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robotic natural-orifice IntraCorporeal anastomosis with Extraction (NICE procedure) for complicated diverticulitis
Authors: Haas Eric M. , de Paula Thais Reif , Luna-Saracho Roberto , Smith Melissa Sara , LeFave Jean-Paul J. 
Published: February 2021

Abstract
Background
Totally intracorporeal surgery for left-sided resection carries numerous potential advantages by avoiding crossing staple lines and eliminating the need for an abdominal incision. For those with complicated diverticulitis, minimally invasive surgery is known to be technically challenging due to inflamed tissue, distorted pelvic anatomy, and obliterated tissue planes, resulting in high conversion rates. We aim to illustrate the stepwise approach and modifications required to successful complete the robotic Natural-orifice IntraCorporeal anastomosis with transrectal specimen Extraction (NICE) procedure in this cohort.

Methods
Consecutive, elective, unselected patients presenting with complicated diverticulitis defined as fistula, abscess and stricture underwent the NICE procedure over a 24-month period. Demographic and intraoperative data were collected, and video recordings were reviewed and edited on encrypted server.

Results
A total of 60 patients (50% female) underwent the NICE procedure for complicated diverticulitis with a mean age of 58.9 years and mean BMI of 30.7 kg/m2. The mean operative time was 231.6 min. All cases (100%) were achieved with intracorporeal anastomosis using a circular stapling device. All but one patient (98.3%) had successful transrectal extraction of the specimen. Forty-four (73%) of the specimens required a specimen-thinning maneuver to successfully extract the specimen and there were no conversions. We identified seven key technical modifications and considerations to facilitate successful completion of the procedure which are illustrated, including early release of the disease, mesentery-sparing dissection, dual instrument control of the mesenteric vasculature, release of the rectal reflection, use of NICE back table, specimen-thinning maneuver, and closure of the rectal cuff.

Conclusion
We present a stepwise approach with key modifications to successfully achieve totally robotic intracorporeal resection for those presenting with complicated diverticulitis. This approach may help overcome the technical challenges and provide a foundation for reproducible results.
Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system
Authors: Singh Parminder , Kaur Avinash , Batth Ranbir Singh , Kaur Sukhpreet , Gianini Gabriele 
Published: February 2021

AbstractHealthcare organizations and Health Monitoring Systems generate large volumes of complex data, which offer the opportunity for innovative investigations in medical decision making. In this paper, we propose a beetle swarm optimization and adaptive neuro-fuzzy inference system (BSO-ANFIS) model for heart disease and multi-disease diagnosis. The main components of our analytics pipeline are the modified crow search algorithm, used for feature extraction, and an ANFIS classification model whose parameters are optimized by means of a BSO algorithm. The accuracy achieved in heart disease detection is $$99.1\%$$

99.1
%

with $$99.37\%$$

99.37
%

precision. In multi-disease classification, the accuracy achieved is $$96.08\%$$

96.08
%

with $$98.63\%$$

98.63
%

precision.
The results from both tasks prove the comparative advantage of the proposed BSO-ANFIS algorithm over the competitor models.
A graph-based CNN-LSTM stock price prediction algorithm with leading indicators
Authors: Wu Jimmy Ming-Tai , Li Zhongcui , Herencsar Norbert , Vo Bay , Lin Jerry Chun-Wei 
Published: February 2021

AbstractIn today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products, bonds, stocks, commodity spots, real estate, gold, art, and many others. Wealth management tools manage and assign families, individuals, enterprises, and institutions to achieve the purpose of increasing and maintaining value to accelerate asset growth. Among them, in investment and financial management, people’s favorite product of investment often stocks, because the stock market has great advantages and charm, especially compared with other investment methods. More and more scholars have developed methods of prediction from multiple angles for the stock market. According to the feature of financial time series and the task of price prediction, this article proposes a new framework structure to achieve a more accurate prediction of the stock price, which combines Convolution Neural Network (CNN) and Long–Short-Term Memory Neural Network (LSTM). This new method is aptly named stock sequence array convolutional LSTM (SACLSTM). It constructs a sequence array of historical data and its leading indicators (options and futures), and uses the array as the input image of the CNN framework, and extracts certain feature vectors through the convolutional layer and the layer of pooling, and as the input vector of LSTM, and takes ten stocks in U.S.A and Taiwan as the experimental data. Compared with previous methods, the prediction performance of the proposed algorithm in this article leads to better results when compared directly.
Vertebral body changes after continuous spinal distraction in scoliotic children
Authors: Lippross Sebastian , Grages Antonia , Lueders Katja A. , Braunschweig Lena , Austein Friederike , Tsaknakis Konstantinos , Lorenz Heiko M. , Hell Anna K. 
Published: February 2021

Abstract
Purpose
Growth-friendly spinal implants (GFSI) were established for scoliotic children as an interim solution until definite spinal fusion could be performed during puberty. While deformity control was clearly proven, the effects on vertebral shape and morphology are still unclear. Our prospective study assesses the effect of GFSI with continuous distraction on vertebral body shape and volume in SMA children in comparison with previously untreated age-matched SMA patients.

Methods
Cohort I (n = 19, age 13.2 years) were SMA patients without prior surgical scoliosis treatment. Cohort II (n = 24, age 12.4 years) were children, who had continuous spinal distraction with GFSI for 4.5 years. Radiographic measurements and computed tomography (CT) 3D volume rendering were performed before definite spinal fusion. For cohort II, additional radiographs were analyzed before the first surgical implantation of GFSI, after surgery and every year thereafter.

Results
Our analysis revealed decreased depth and volume in scoliotic patients with prior GFSI compared to scoliotic patients without prior implants. This difference was significant for the lower thoracic and entire lumbar spine. Vertebral body height and pedicle size were unchanged between the two cohorts.

Conclusion
CT data showed volume reduction in the vertebral body in scoliotic children after GFSI treatment. This effect was more severe in the lumbar and lower thoracic area. While vertebral height was identical in both groups, vertebral depth was reduced in the GFSI-treated group. Reduced vertebral depth and altered vertebral morphology should be considered before instrumenting the spine in previously treated scoliotic SMA children.

Level of evidence III
Diagnostic: individual cross-sectional studies with consistently applied reference standard and blinding.
Disziplin, Profession und evidenzbasierte Praxis: Zur Stellung der Psychotherapie im Gesundheitssystem. Eine Bilanz
Authors: Datler Wilfried , Hochgerner Markus , Korunka Christian , Löffler-Stastka Henriette , Pawlowsky Gerhard 
Published: February 2021

Zusammenfassung30 Jahre nach der Verabschiedung des österreichischen Psychotherapiegesetzes wird die Besonderheit der Psychotherapie im Gesundheitssystem mit Bezug auf nationale Gegebenheiten und international vorliegende Forschungsergebnisse dargestellt. Dabei werden zentrale Qualitäts- und Unterscheidungsmerkmale der Psychotherapie im Verhältnis zur Klinischen Psychologie und zu weiteren Gesundheitsberufen unter Miteinbeziehung von evidenzbasierter Forschungsliteratur vorgestellt. Es wird deutlich gemacht, dass Psychotherapie das bedeutsamste und weitreichendste Versorgungsangebot zur interaktionellen Behandlung psychischer Erkrankungen darstellt. Zu den zentralen Merkmalen der Psychotherapie zählen die umfassenden, evidenzbasierten sowie wissenschaftstheoretisch und methodisch in vier Clustern verankerten Konzepte zur Erklärung, Diagnose und individuellen, prozessorientierten Behandlung von psychischen Erkrankungen sowie die im Vergleich zu ähnlichen Berufen deutlich höhere Qualität der Ausbildung.
Bayesian Estimation of Economic Simulation Models Using Neural Networks
Authors: Platt Donovan 
Published: February 2021

AbstractRecent advances in computing power and the potential to make more realistic assumptions due to increased flexibility have led to the increased prevalence of simulation models in economics. While models of this class, and particularly agent-based models, are able to replicate a number of empirically-observed stylised facts not easily recovered by more traditional alternatives, such models remain notoriously difficult to estimate due to their lack of tractable likelihood functions. While the estimation literature continues to grow, existing attempts have approached the problem primarily from a frequentist perspective, with the Bayesian estimation literature remaining comparatively less developed. For this reason, we introduce a widely-applicable Bayesian estimation protocol that makes use of deep neural networks to construct an approximation to the likelihood, which we then benchmark against a prominent alternative from the existing literature. Overall, we find that our proposed methodology consistently results in more accurate estimates in a variety of settings, including the estimation of financial heterogeneous agent models and the identification of changes in dynamics occurring in models incorporating structural breaks.
In-Situ Synchrotron X-ray Diffraction Investigation of Microstructural Evolutions During Low-Pressure Carburizing
Authors: Tapar Ogün Baris , Epp Jérémy , Steinbacher Matthias , Gibmeier Jens 
Published: February 2021

AbstractAn experimental heat treatment chamber and control system were developed to performin-situX-ray diffraction experiments during low-pressure carburizing (LPC) processes. Results from the experimental chamber and industrial furnace were compared, and it was proven that the built system is reliable for LPC experiments.In-situX-ray diffraction investigations during LPC treatment were conducted at the German Electron Synchrotron Facility in Hamburg Germany. During the boost steps, carbon accumulation and carbide formation was observed at the surface. These accumulation and carbide formation decelerated the further carbon diffusion from atmosphere to the sample. In the early minutes of the diffusion steps, it is observed that cementite content continue to increase although there is no presence of gas. This effect is attributed to the high carbon accumulation at the surface during boost steps which acts as a carbon supply. During quenching, martensite at higher temperature had a lowerc/aratio than later formed ones. This difference is credited to the early transformation of austenite regions having lower carbon content. Also, it was noticed that the final carbon content dissolved in martensite reduced compared to carbon in austenite before quenching. This reduction was attributed to the auto-tempering effect.
The Spontaneous Emulsification of Entrained Inclusions During Casting of High Aluminum Steels
Authors: Raviraj Akalya , Kourra Nadia , Williams Mark A. , Abbel Gert , Davis Claire , Tiekink Wouter , Sridhar Seetharaman , Spooner Stephen 
Published: February 2021

Abstract
Mold slag entrainment during the continuous casting process presents a late stage source of non-metallic inclusions (NMI) with a high likelihood of ending up in the final product. The reaction between the entrained slag phase and surrounding liquid steel in the continuous casting mold affects the inclusion morphology and properties. However, there is a lack of information on the kinetics of the NMI-steel reaction. A novel approach, utilizing controlled synthetic inclusion/metal samples, has been developed to study the reactions between free inclusion-slag droplets and steel. The technique combines High-Temperature Confocal Scanning Laser Microscopy (HT-CSLM), X-ray Computed Tomography (XCT) and advanced electron microscopy techniques offering rapid controlled heating performance and extensive characterization of the samples. This method offers the ability to observe the size, shape and composition of an unconstrained reacting inclusion and to investigate the interface between the materials with respect to reaction time. This study interrogates a low aluminum steel (0.04 wt pct) and a high aluminum steel (1 wt pct) in contact with an inclusion-slag phase with a starting composition aligned to a typical mold slag. It was found that the reaction between silica and aluminum across the interface of the two phases provided a driving force for spontaneous emulsification to occur. Products of such emulsification will have a significant effect on the inclusion size distribution and potentially the prevalence of inclusion retention in molten steels solidifying in the continuous caster (for example if emulsified buoyancy forces are reduced to near zero) and hence in the subsequent solid product.
Effect of Multiwalled Carbon Nanotubes on Improvement of Fracture Toughness of Spark-Plasma-Sintered Yttria-Stabilized Zirconia Nanocomposites
Authors: Arunkumar T. , Anand G. , Subbiah Ram , Karthikeyan R. , Jeevahan Jaya 
Published: February 2021

AbstractHighly dense yttria-stabilized zirconia (YSZ) nano-ceramics reinforced with TC-CVD-synthesized multiwall carbon nanotubes (MWCNTs) were fabricated using spark plasma sintering at a temperature of 1350°C, the heating rate of 100 °C/min and pressure of 50MPa with a dwell time of 10 minutes. The identical parameters were utilized for fabricating composites with a varying weight ratio of YSZ and MWNCTs. The samples were characterized for their phase transformation, microstructure and elemental composition using x-ray diffraction (XRD), scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS). The physical and mechanical properties such as density, porosity, hardness, fracture toughness and wear were also investigated. The increase in the MWCNTs concentration has resulted in the deterioration of the hardness due to CNT agglomerations. The wear resistance of the composites revealed MWNCTs enhanced wear resistance of YSZ nanocomposite by undergoing MWNCTs pull-out and crack branching mechanisms. Further indentation method and single-beam V-notch beam (SEVNB) methods were utilized to study the effect of MWCNTs on the fracture toughness of the nanocomposites. The fracture toughness of YC1 (6.58 ± 0.3 MPa m1/2) was 21% higher than the YSZ (5.21 ± 0.2 MPa m1/2) due to the toughening mechanisms attributable to crack deflection, branching and bridging of MWCNTs.
Exploitation, Criminalization, and Pecuniary Trade in the Organs of Living People
Authors: McLachlan Hugh V. 
Published: February 2021

AbstractIt is often maintained that, since the buying and selling of organs—particularly the kidneys—of living people supposedly constitutes exploitation of the living vendors while the so-called “altruistic” donation of them does not, the former, unlike the latter, should be a crime. This paper challenges and rejects this view. A novel account of exploitation, influenced by but different from those of Zwolinski and Wertheimer and of Wilkinson, is developed. Exploitation is seen as a sort of injustice. A distinction is made between justice and fairness. To exploit someone is to take advantage of him or her unjustly. Exploitation pertains to the nature of actions, interactions, and transaction rather than to their outcomes or to how they are perceived by exploitees. Desperation on the part of one or other of the parties to a transaction does not preclude the giving of valid consent to the transaction. Disparities of power or wealth between the parties to a transaction do not indicate or entail that the transaction will be exploitative. A disparity in the benefits that arise from a transaction between the parties does not indicate or entail that exploitation has taken place.
Robust multivariate estimation based on statistical depth filters
Authors: Saraceno Giovanni , Agostinelli Claudio 
Published: February 2021

AbstractIn the classical contamination models, such as the gross-error (Huber and Tukey contamination model or case-wise contamination), observations are considered as the units to be identified as outliers or not. This model is very useful when the number of considered variables is moderately small. Alqallaf et al. (Ann Stat 37(1):311–331, 2009) show the limits of this approach for a larger number of variables and introduced the independent contamination model (cell-wise contamination) where now the cells are the units to be identified as outliers or not. One approach to deal, at the same time, with both type of contamination is filter out the contaminated cells from the data set and then apply a robust procedure able to handle case-wise outliers and missing values. Here, we develop a general framework to build filters in any dimension based on statistical data depth functions. We show that previous approaches, e.g., Agostinelli et al. (TEST 24(3):441–461, 2015b) and Leung et al. (Comput Stat Data Anal 111:59–76, 2017), are special cases. We illustrate our method by using the half-space depth.
Phenology of the specialist bee Colletes hederae and its dependence on Hedera helix L. in comparison to a generalist, Apis mellifera
Authors: Hennessy Georgia , Uthoff Cassanda , Abbas Sema , Quaradeghini Stefano C. , Stokes Emma , Goulson Dave , Ratnieks Francis L. W. 
Published: February 2021

AbstractColletes hederae,the ivy bee, (Hymenoptera: Colletidae) has undergone large range expansions in Europe in recent years, including colonising Britain in 2001 with its original distribution limited to Western mainland Europe and the Channel Islands. It is thought to specialise onHedera helixL. (Apiales: Ariliaceae), common ivy. However, some research has questioned this dependence. This study quantifies the foraging ecology ofC. hederaeto determine its relationship with ivy in Sussex. We quantified the phenology of ivy bloom,C. hederaeactivity and flower visitation, and pollen collection of females through pollen analysis. We also gathered equivalent data onApis melliferaboth as a comparison and to assess alternative pollen sources. The phenology of femaleC. hederaeactivity was highly correlated with and phonologically contained within the ivy bloom period. Pollen analysis fromC. hederaeidentified ivy pollen was 98.5% of samples, significantly more than forA. mellifera(90%). Two other plant species were identified and more common inC. hederaesamples when ivy bloom was not at its peak. Surveys of ivy flowers surrounding the aggregations found thatC. hederaewere the most common insect (26%) foraging on ivy.AlthoughC. hederaecan forage on other species, ivy was found to be an important floral resource. The results also suggest the potential for competition withA. mellifera, the only other bee present in more than small numbers onH. helixflowers, as althoughA. melliferais a generalist, in autumn it mainly forages on ivy.
MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset
Authors: Doyran Metehan , Schimmel Arjan , Baki Pınar , Ergin Kübra , Türkmen Batıkan , Salah Almıla Akdağ , Bakkes Sander C. J. , Kaya Heysem , Poppe Ronald , Salah Albert Ali 
Published: February 2021

AbstractBoard games are fertile grounds for the display of social signals, and they provide insights into psychological indicators in multi-person interactions. In this work, we introduce a new dataset collected from four-player board game sessions, recorded via multiple cameras, and containing over 46 hours of visual material. The new MUMBAI dataset is extensively annotated with emotional moments for all game sessions. Additional data comes from personality and game experience questionnaires. Our four-person setup allows the investigation of non-verbal interactions beyond dyadic settings. We present three benchmarks for expression detection and emotion classification and discuss potential research questions for the analysis of social interactions and group dynamics during board games.
Is fund performance driven by flows into connected funds? spillover effects in the mutual fund industry
Authors: Zhu Bing , Woltering René-Ojas 
Published: February 2021

AbstractMutual funds are connected with each other through overlapping portfolio holdings. We document that the performance of individual mutual funds is affected by spillover effects from fund flows to connected mutual funds. Spillover-effects are particularly pronounced during crisis periods, when a one standard deviation increase in flows to the tercile of funds with the highest overlapping portfolio holdings is associated with a monthly excess returns of 1.50%. Small cap stock funds are more heavily impacted, suggesting that the spillover effect is related to underlying asset liquidity. Moreover, we shed light on the dark side of diversification, as highly diversified funds are more exposed to the spillover risk factor.
An Electrochemical Study of Ammonium Dihydrogen Phosphate on Mg and Mg Alloy Electrodes
Authors: Kékedy-Nagy László , Abolhassani Mojtaba , Greenlee Lauren F. , Pollet Bruno G. 
Published: February 2021

AbstractIn this work, the electrochemistry of ammonium dihydrogen phosphate in aqueous solution on Mg and Mg AZ31 alloy (Al 3 wt%, Zn 1 wt%, balanced Mg) electrodes was studied using electrochemical characterization similar to electro-agglomeration and physical characterization to shed some light on the electrochemical mechanism of struvite formation as phosphate precipitation in waste. It was found that the Mg AZ31 alloy exhibited higher corrosion current densities (jcorr), and thus higher Mg dissolution rates and corrosion rates (vcorr) when compared with pure Mg. This finding was confirmed by ion chromatography (IC) analysis. Results also showed a phosphorus removal efficiency (PRem) of 16.8% together with ~53 mL H2 production for pure Mg and 17.2% with ~61 mL H2 production for Mg AZ31 alloy. The precipitates formed on the two Mg electrode materials were physically characterized by SEM, XRD, XPS, and energy-dispersive X-ray spectroscopy, which indicated the formation of struvite (magnesium ammonium phosphate hexahydrate-MgNH4PO4*6H2O). It was found that (i) the thickness of the films was influenced by the applied scan rates, which also had a significant impact on the morphology, and (ii) hydrogen bubble formation influenced the precipitates, whereby the film thicknesses were negatively impacted.
Graphical abstract