bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved hyper-reduction approach for the forced vibration analysis of rotating components
Authors: Kang Seung-Hoon , Kim Yongse , Cho Haeseong , Shin SangJoon
Published: February 2022

Forced vibration analysis is an indispensable process for the design of a rotating component. However, rather expensive nonlinear static and linear frequency response analyses are usually accompanied by a frequency domain analysis. The traditional mode-superposition method (MSM) effectively reduces the cost of the frequency response analysis. However, the nonlinear static analysis of earlier processes remains as the computational bottleneck. In this paper, the application of the hyper-reduction method will be proposed along with the model order reduction (MOR) framework for rotating component forced vibration analysis. The energy-conserving sampling and weighting (ECSW) method will be employed for the nonlinear iterative computation. The pre-stressed stiffness matrix of the reduced finite elements (FEs) resulting from the ECSW will be used for the post computation stage. Also, a variety of MOR will be attempted for the performance comparison, including MSM, proper orthogonal decomposition (POD)-based reduced order model (ROM), and a hybrid approach. It is found that the present ECSW-combined MOR will significantly relieve the computational bottleneck, provide a minimal loss of accuracy, and be compatible with both nonlinear and linear analyses of the rotating component forced vibration analysis.
Untersuchung der thermischen Überlastbarkeit von Leistungstransformatoren
Authors: Khandan Saeed , Gerber Malte , Tenbohlen Stefan
Published: February 2022

Durch die voranschreitende Energiewende und den stetig steigenden Ausbau der Erneuerbaren Energien besteht vermehrt die Notwendigkeit des Ausbaus von Umspannwerken mit neuen Transformatoren. Dieser Ausbau erfolgt meist auf Basis der maximalen Einspeisung im Jahr. Um hierbei dem Netzbetreiber einen besseren Überblick in Bezug auf die Überlastbarkeit des Transformators zu geben, wird im Rahmen eines Projektes die thermische Überlastbarkeit von Transformatoren untersucht. Für eine genauere Betrachtung des thermischen Verhaltens von Leistungstransformatoren wird eine numerische Berechnung mittels computergestützter Strömungsmechanik (CFD) verwendet. Diese erfolgt anhand im Labor gemessener Messdaten an einem Wicklungsmodell. Dieses numerische 3D-Modell ermöglicht es, die Heißpunkttemperatur eines natürlich ON-gekühlten Transformators zu bestimmen und die Veränderung des Heißpunktfaktors in Abhängigkeit von unterschiedlichen Anfangstemperaturen im Labor zu berechnen. Durch die Berechnung des Heißpunktfaktors kann das transiente thermische Verhalten untersucht und im zeitlichen Verlauf verglichen werden.

Des Weiteren werden im Rahmen des beschriebenen Projektes über den Zeitraum von einem Jahr Temperatur‑, Leistungs- und Umgebungsmessdaten eines Windparktransformators gezeigt, anhand derer das thermische Verhalten des Transformators untersucht wird. Mit einem Trainingssatz der Messdaten werden unterschiedliche thermische Modelle zur Berechnung der oberen Öltemperatur in Abhängigkeit der Auslastung und der Umgebungstemperatur erstellt und zur Validierung mit einem weiteren Datensatz verglichen. Mithilfe des Heißpunktfaktors aus dem numerischen 3D-Modell kann die Heißpunkttemperatur des natürlich gekühlten Transformators abgeschätzt und mit den Temperaturen aus der Simulation verglichen werden.

Basierend auf der nach DIN IEC 60076‑7 empfohlenen maximalen Heißpunkttemperatur und dem erstellten thermischen Modell wird eine Überlastungskurve in Abhängigkeit der Außentemperatur erzeugt. Mit dieser kann die Überlastbarkeit des Leistungstransformators bei unterschiedlichen Umgebungstemperaturen errechnet und somit der Transformator ohne erhöhtes Risiko nach Bedarf mit höherer Last entsprechend der Überlastungskurve betrieben werden.
Potenzial von Machine Learning bei der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette
Authors: Klingler Christoph , Feigl Moritz , Linsbichler Thomas , Frey Simon , Schulz Karsten
Published: February 2022

Da die Leistung eines Laufkraftwerks ohne Schwallbetrieb nicht gesteuert werden kann, sind möglichst präzise Leistungsprognosen nötig, um die generierte elektrische Energie bestmöglich am internationalen Strommarkt verwerten zu können. Derzeit befindet sich beim österreichischen Wasserkraftwerksbetreiber Verbund AG für den Zweck der Leistungsprognose eine Kombination aus hydrologischen und hydrodynamischen Modellen (PW) im operativen Betrieb, welche aber insbesondere bei an- sowie absteigenden Leistungsverläufen noch Defizite aufweist. Deshalb wird in dieser Studie an den Laufkraftwerken Braunau-Simbach, Aschach und Greifenstein das Potenzial von Machine Learning (ML) Verfahren bei der kurzfristigen (bis 4 h) Leistungsprognose in fünf hydrologisch interessanten Zeitfenstern eruiert. Dafür werden gemessene Abfluss- und Leistungswerte von stromauf liegenden Laufkraftwerken und Pegeln als Eingangsdaten herangezogen. Die erzielten Ergebnisse zeigen, dass ML im Anwendungsbereich der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette sinnvoll eingesetzt werden kann. So konnte beim Grenzkraftwerk Braunau-Simbach der Modellfehler in Form der Wurzel der mittleren quadratischen Abweichung (RMSE) im Vergleich zu PW bei der 4‑Stunden-Prognose sowie über die fünf ausgewählten Zeitfenster um rund 63 % verringert werden. Beim Kraftwerk Aschach wurde eine Reduktion von 30 % erzielt, während beim Kraftwerk Greifenstein der RMSE mit ML um mehr als 50 % reduziert wurde. Es hat sich bei ML zudem gezeigt, dass mit kürzerer Prognosezeit auch die Prognosequalität deutlich verbessert wird, während sich diese bei PW in einem deutlich geringeren Ausmaß mit der Prognosezeit ändert. Es ist daher absehbar, dass ab einer bestimmten Prognosezeit PW gegenüber ML wieder im Vorteil ist. Nichtsdestotrotz könnte bei längerer Vorhersagezeit aber durch die Nachkopplung eines ML-Modells an PW die Prognosequalität weiter verbessert werden.
A simple matching domain with indifferences and a master list
Authors: Chowdhury Rohan
Published: February 2022

We present a two-sided one-to-one market setting where one side of the market is objectively ranked. Constraints prevent agents on the other side from matching with agents who are ranked higher than an agent-specific threshold. The domain allows for indifferences, with preferences of one side being derived from a master preference list, while agents on the other side have general preferences. We analyze matchings with respect to two standard properties: stability and efficiency. Having met these standard goals, the designer facing this problem may additionally care about a third criterion: the size of the matching. We find that for the proposed domain all stable matchings have the same size. We characterize the set of stable and efficient matchings for the problem. Our results show that every matching that is both stable and efficient is hierarchical by nature in a precise sense.
Utilization of alum sludge waste for production of eco-friendly blended cement
Authors: Mohamed O. A. , El-Gamal S. M. A. , Farghali A. A.
Published: February 2022

This work was focused on evaluating the suitability of replacing Portland cement (PC) by 5, 10 and 15 mass % of activated alum sludge waste (AAS) as a pozzolanic material. Exploitation of low-cost nanocomposite for bolstering the physical, mechanical, and stability against firing of PC–AAS-hardened composites was inspected. CuFe2O4 spinel nanoparticle with average particle size (~ 50 nm) was prepared. Inclusion of CuFe2O4 spinel in different PC–AAS-hardened composites bolsters their physicomechanical features at almost normal curing ages as well as their stability against firing. The positive impact of synthesized CuFe2O4 spinel was affirmed via TGA/DTG and XRD techniques, which indicated the presence of diverse hydration yields such as CSHs, CASHs, CFSH, and CuSH that enhance the overall physicomechanical characteristics and thermal stability of various PC–AAS-hardened composites. The composite containing (90 PC–10 AAS waste–2 CuFe2O4) offers many benefits from the economic and environmental view.

Graphical abstract
Volatility impacts on the European banking sector: GFC and COVID-19
Authors: Batten Jonathan A. , Choudhury Tonmoy , Kinateder Harald , Wagner Niklas F.
Published: February 2022

This paper analyses the volatility transmission between European Global Systemically Important Banks (GSIBs) and implied stock market volatility. A Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity model is applied to determine the dynamic correlation between returns of Europe’s GSIBs and the world’s most prominent measure of market “fear”, the CBOE Volatility Index (VIX). The results identify a higher negative co-relationship between the VIX and GSIB returns during the COVID-19 period compared with the Global Financial Crisis (GFC), with one-day lagged changes in the VIX negatively Granger-causing bank returns. The asymmetric impact of changes in implied volatility is examined by quantile regressions, with the findings showing that in the lower quartile–where extreme negative bank returns are present–jumps in the VIX are highly significant. This effect is more pronounced during COVID-19 than during the GFC. Additional robustness analysis shows that these findings are consistent during the periods of the Swine Flu and Zika virus epidemics.
A p-Adaptive Discontinuous Galerkin Method with hp-Shock Capturing
Authors: Mossier Pascal , Beck Andrea , Munz Claus-Dieter
Published: February 2022

In this work, we present a novel hybrid Discontinuous Galerkin scheme with hp-adaptivity capabilities for the compressible Euler equations. In smooth regions, an efficient and accurate discretization is achieved via local p-adaptation. At strong discontinuities and shocks, a finite volume scheme on an h-refined element-local subgrid gives robustness. Thus, we obtain a hp-adaptive scheme that exploits both the high convergence rate and efficiency of a p-adaptive high order scheme as well as the stable and accurate shock capturing abilities of a low order finite volume scheme, but avoids the inherent resolution loss through h-refinement. A single a priori indicator, based on the modal decay of the local polynomial solution representation, is used to distinguish between discontinuous and smooth regions and control the p-refinement. Our method is implemented as an extension to the open source software FLEXI. Hence, the efficient implementation of the method for high performance computers was an important criterion during the development. The efficiency of our adaptive scheme is demonstrated for a variety of test cases, where results are compared against non adaptive simulations. Our findings suggest that the proposed adaptive method produces comparable or even better results with significantly less computational costs.
Computer simulations on oxidative stress-induced reactions in SARS-CoV-2 spike glycoprotein: a multi-scale approach
Authors: Bertran Oscar , Martí Didac , Torras Juan , Turon Pau , Alemán Carlos
Published: February 2022

Oxidative stress, which occurs when an organism is exposed to an adverse stimulus that results in a misbalance of antioxidant and pro-oxidants species, is the common denominator of diseases considered as a risk factor for SARS-CoV-2 lethality. Indeed, reactive oxygen species caused by oxidative stress have been related to many virus pathogenicity. In this work, simulations have been performed on the receptor binding domain of SARS-CoV-2 spike glycoprotein to study what residues are more susceptible to be attacked by ·OH, which is one of the most reactive radicals associated to oxidative stress. The results indicate that isoleucine (ILE) probably plays a crucial role in modification processes driven by radicals. Accordingly, QM/MM-MD simulations have been conducted to study both the ·OH-mediated hydrogen abstraction of ILE residues and the induced modification of the resulting ILE radical through hydroxylation or nitrosylation reactions. All in all, in silico studies show the importance of the chemical environment triggered by oxidative stress on the modifications of the virus, which is expected to help for foreseeing the identification or development of antioxidants as therapeutic drugs.

Graphic abstract
Steady-state statistics, emergent patterns and intermittent energy transfer in a ring of oscillators
Authors: Pedergnana Tiemo , Noiray Nicolas
Published: February 2022

Networks of coupled nonlinear oscillators model a broad class of physical, chemical and biological systems. Understanding emergent patterns in such networks is an ongoing effort with profound implications for different fields. In this work, we analytically and numerically study a symmetric ring of N coupled self-oscillators of van der Pol type under external stochastic forcing. The system is proposed as a model of the thermo- and aeroacoustic interactions of sound fields in rigid enclosures with compact source regions in a can-annular combustor. The oscillators are connected via linear resistive coupling with nonlinear saturation. After transforming the system to amplitude-phase coordinates, deterministic and stochastic averaging is performed to eliminate the fast oscillating terms. By projecting the potential of the slow-flow dynamics onto the phase-locked quasi-limit cycle solutions, we obtain a compact, low-order description of the (de-)synchronization transition for an arbitrary number of oscillators. The stationary probability density function of the state variables is derived from the Fokker–Planck equation, studied for varying parameter values and compared to time series simulations. We leverage our analysis to offer explanations for the intermittent energy transfer between Bloch waves observed in acoustic pressure spectrograms observed of real-world gas turbines.
Recent advances in the metabolic pathways and microbial production of coenzyme Q
Authors: Pierrel Fabien , Burgardt Arthur , Lee Jin-Ho , Pelosi Ludovic , Wendisch Volker F.
Published: February 2022

Coenzyme Q (CoQ) serves as an electron carrier in aerobic respiration and has become an interesting target for biotechnological production due to its antioxidative effect and benefits in supplementation to patients with various diseases. Here, we review discovery of the pathway with a particular focus on its superstructuration and regulation, and we summarize the metabolic engineering strategies for overproduction of CoQ by microorganisms. Studies in model microorganisms elucidated the details of CoQ biosynthesis and revealed the existence of multiprotein complexes composed of several enzymes that catalyze consecutive reactions in the CoQ pathways of Saccharomyces cerevisiae and Escherichia coli. Recent findings indicate that the identity and the total number of proteins involved in CoQ biosynthesis vary between species, which raises interesting questions about the evolution of the pathway and could provide opportunities for easier engineering of CoQ production. For the biotechnological production, so far only microorganisms have been used that naturally synthesize CoQ10 or a related CoQ species. CoQ biosynthesis requires the aromatic precursor 4-hydroxybenzoic acid and the prenyl side chain that defines the CoQ species. Up to now, metabolic engineering strategies concentrated on the overproduction of the prenyl side chain as well as fine-tuning the expression of ubi genes from the ubiquinone modification pathway, resulting in high CoQ yields. With expanding knowledge about CoQ biosynthesis and exploration of new strategies for strain engineering, microbial CoQ production is expected to improve.
The prognostic value of the Frank sign
Authors: Prangenberg J. , Doberentz E. , Johann L. , Madea B.
Published: February 2022

Frank’s sign (named after American pulmonologist Sanders T. Frank) refers to a diagonal skin fold between the tragus and outer edge of the earlobe. Gradation is based on the bilateral presence and/or degree of the earlobe fold. The presence of this sign, referred to as the diagonal earlobe crease (DELC), has been associated with coronary artery disease (CAD), independent of other cardiovascular risk factors. Corresponding studies are predominantly based on clinical or angiographic assessments, and few autopsy studies exist. The association of DELC with CAD, cardiovascular risk factors, and causes of death was investigated via retrospective and prospective evaluations. It was also investigated whether the degree of DELC correlated with the macroscopic severity of coronary heart disease. Furthermore, the influence of age on the appearance of DELC was analyzed and compared using two age groups. Additionally, binomial logistic regression analysis was performed to investigate the influence of age on the presence of higher-grade DELC and CAD. In cases related to a lethal cardiac event, the majority (78%) showed high-grade DELC. The DELC grade correlated significantly with CAD severity (rs = 0.474, p < 0.001) and with the severity of general atherosclerosis (rs = 0.606, p < 0.001) with medium and large effects sizes, respectively. Age was predominantly more suitable than DELC concerning the sensitivity, specificity, and positive prognostic value for preexisting cardiac disease and cardiac-related causes of death. In both DELC and CAD, age has a significant influence on the presence of higher-grade manifestation, but the influence of age in CAD appears to be even more significant than in DELC. The main results of previous autopsy studies and the prognostic value could have been confirmed, but these findings appear to be limited to younger patients.
Oral Cavity Reconstruction over a 30-Year Period at a Dedicated Tertiary Head and Neck Cancer Centre
Authors: Hayler R. , Sudirman S. R. , Clark J. , Shannon K. , Elliott M. , Palme C. E. , Wykes J. , Ch’ng S. , Low T. H.
Published: February 2022

There are around 2,500 new cases of oral cavity squamous cell carcinoma (OSCC) reported yearly within Australia. Resection often leads to substantial defects, requiring complex reconstruction. The aim of this study was to examine how reconstruction at a dedicated head and neck cancer unit has evolved over a 30-year period. A retrospective review was conducted of all OSCC carcinoma cases performed from 1988 to 2017. Data was analysed in six-time periods; pre-1995, 1995–1999, 2000–2004, 2005–2009, 2010–2014, and 2015 and above. A total of 903 patients were identified, of which 56.1% (n = 507) underwent free flap reconstruction including 426 (84.0%) soft tissue free flaps (STFF) and 81 (16.0%) bony free flaps (BFF). STFF usage remained stable over time. The radial forearm was the most common free flap but declined over time with increasing use of the anterolateral thigh flap. The number of BFF increased from 5.0% before 1995 to 20.4% in 1995–2015. The tongue was the most common subsite, followed by the floor of mouth. Free flaps were utilised in more than 50% of OSCC reconstructions at each time period. Over time, the proportion of different STFF evolved towards increased use of the ALT flap and BFF within our institution. Level of evidence: Level four.
Geodiversity Supports Cultural Ecosystem Services: an Assessment Using Social Media
Authors: Fox Nathan , Graham Laura J. , Eigenbrod Felix , Bullock James M. , Parks Katherine E.
Published: February 2022

Geodiversity is under threat from both anthropogenic activities and environmental change which therefore requires active management in the form of geoconservation to minimise future damage. As research on the role of geodiversity on ecosystem service (ES) provision has been limited, there is a need to improve our understanding of which aspects are most important to providing ES to better inform approaches to its conservation. Here, we focus on the cultural ES of hiking in Wales, UK. Harnessing big data from the social media website Flickr, we used the locations of geotagged images of hiking and a range of spatial layers representing geodiversity, biodiversity and anthropogenic predictor variables in habitat suitability models. To gain a deeper understanding of the role of geodiversity in driving the distribution of this cultural service, we estimated the strength and nature of the relationship of each geodiversity, biodiversity and anthropogenic indicator with hiking. Our models show that three geodiversity (distance from coast, range in slope and range in elevation) and two anthropogenic (distance from greenspace access point and distance from road) variables were the most important drivers of hiking. Furthermore, we assessed the content of the images to understand which features of geodiversity people interact with while hiking. We found that people generally take images of geomorphological and hydrological features, such as mountains and lakes. Through understanding the geodiversity, biodiversity and anthropogenic drivers of hiking in Wales, as well as identifying the geodiversity features people interact with while hiking, this analysis can help to inform future geoconservation methods by focusing efforts on these important features.
Specification of Row Pattern Recognition in the SQL Standard and its Implementations
Authors: Petković Dušan
Published: February 2022

Recently, the SQL standardization Committee published a specification for support of the concept called Row Pattern Recognition in SQL. That way, the focus for the members of the Committee turned back to a kernel issue of the language, after standardizing the storage and manipulation of data formats, such as XML and JSON. In this paper we discuss the specified features using several examples and show to what extent different relational database systems as well as Data Analytics tools have integrated them. At the end of the paper, we describe the main inaccuracies of the proposal and the ways how to solve them. From our point of view, the following should be modified in one of the future proposals of the standard in relation to this concept: (a) Naming of several pattern navigation operations is inappropriate and should be changed; (b) The concept of implicit definition for row pattern variables in DEFINE should be changed to explicit; (c) The set of existing functions should be extended.
Numerical Investigation of Slurry Pressure Drop at Different Pipe Roughness in a Straight Pipe Using CFD
Authors: Joshi Tanuj , Parkash Om , Krishan Gopal
Published: February 2022

Slurry flow (water–glass beads) through a horizontal pipe of diameter, 0.0549 m and length, 3.8 m with two particle sizes, i.e., 125- and 440-micron, has been numerically modeled and investigated based on the kinetic theory of slurry transportation. The effect of particles interaction on the pipe flow characteristics such as velocity profile, wall shear stress, vector regime, granular pressure and temperature has been evaluated at different solid concentration and flow velocity range. It is well established that the pressure drop is the key parameter for the design of efficient slurry pipeline system, which is influenced by factors such as flow velocity, slurry viscosity, solid concentration, pipe material and pipe geometry. However, to best of our knowledge, the estimation of pressure drop at different pipe roughness height and a concentration range of 40–60% is not yet established. Therefore, in the present work, the numerical simulation is carried out for slurry flow through a horizontal pipeline at different roughness heights (Rh = 10–50 micron) and Prandtl numbers, i.e., 1.34, 2.14, 3.42 and 5.83. The kinetic parameters are calculated at a flow velocity (Vm) of 1–5 ms−1 and solid concentration (Cw) range of 40–60%. The results and procedure of the current simulation are validated against the available experimental results in the literature. The outcomes of the present work reveals that pressure drop increases with increase in pipe roughness height for the chosen velocity and solid concentration range. In addition, the larger particle is found to have more influence on the pressure, velocity, temperature distribution for the entire range of flow velocity and solid concentration. Furthermore, settling velocity and specific energy consumption are also predicted and discussed through the slurry pipeline. The findings show that the settling velocity of particle increases with increase in particle size at different Prandtl number. The energy efficiency for solid transportation through pipeline at different Prandtl numbers and particle size are also evaluated. Based on the results, it is concluded that specific energy efficiency varies with solid concentration and particle size, i.e., higher concentration and larger particle size demonstrates higher energy consumption. Furthermore, fluid at low Prandtl number exhibits higher energy consumptions. In order to design the efficient slurry pipeline system, it is recommended that the slurry must be transported at low velocity and high Prandtl number.
A 2-year retrospective analysis of the prognostic value of MqSOFA compared to lactate, NEWS and qSOFA in patients with sepsis
Authors: Guarino Matteo , Perna Benedetta , De Giorgi Alfredo , Gambuti Edoardo , Alfano Franco , Catanese Elisa Maria , Volpato Stefano , Strada Andrea , Caio Giacomo , Contini Carlo , De Giorgio Roberto
Published: February 2022

Purpose

Sepsis is a life-threating organ dysfunction caused by a dysregulated host response to infection. Being a time-dependent condition, the present study aims to compare a recently established score, i.e., modified quick SOFA (MqSOFA), with other existing tools commonly applied to predict in-hospital mortality.

Methods

All cases of sepsis and septic shock consecutively observed at St. Anna University Hospital of Ferrara, Italy, from January 2017 to December 2018 were included in this study. Each patient was evaluated with MqSOFA, lactate assay, NEWS and qSOFA. Accurate statistical and logistic regression analyses were applied to our database.

Results

A total of 1001 consecutive patients with sepsis/septic shock were retrieved. Among them, 444 were excluded for incomplete details about vital parameters; thus, 556 patients were eligible for the study. Data analysis showed that MqSOFA, NEWS and lactate assay provided a better predictive ability than qSOFA in terms of in-hospital mortality (p < 0.001). Aetiology-based stratification in 5 subgroups demonstrated the superiority of NEWS vs. other tools in predicting fatal outcomes (p = 0.030 respiratory,p = 0.036 urinary,p = 0.044 abdominal,p = 0.047 miscellaneous andp = 0.041 for indeterminate causes). After Bonferroni’s correction, MqSOFA was superior to qSOFA over respiratory (p < 0.001) and urinary (p < 0.001) aetiologies. Age was an independent factor for negative outcomes (p < 0.001).

Conclusions

MqSOFA, NEWS and lactate assay better predicted in-hospital mortality compared to qSOFA. Since sepsis needs a time-dependent assessment, an easier and non-invasive score, i.e., MqSOFA, could be used to establish patients’ outcome in the emergency setting.
Bridging cognitive, phenomenological and psychodynamic approaches to eating disorders
Authors: Castellini Giovanni , Cassioli Emanuele , Rossi Eleonora , Mancini Milena , Ricca Valdo , Stanghellini Giovanni
Published: February 2022

Cognitive, psychodynamic, and phenomenological scholars converged their attention on abnormal bodily phenomena as the core psychopathological feature of eating disorders (EDs). While cognitive approaches focus their attention on a need for “objective” (i.e., observable, measurable) variables (including behaviours and distorted cognitions), the phenomenological exploration typically targets descriptions of persons’ lived experience. According to a new emerging phenomenological perspective, the classic behavioural and cognitive symptoms of EDs should be considered as epiphenomena of a deeper core represented by a disorder of the embodiment. The cognitive–behavioural model is the most studied and, up till now, clinically efficacious treatment for EDs. However, as any coherent and scientifically grounded model, it presents some limitations in its application. Numerous patients report a chronic course, do not respond to treatment and develop a personality structure based on pathological eating behaviours, since “being anorexic” becomes a new identity for the person. Furthermore, the etiopathogenetic trajectory of EDs influences the treatment response: for example, patients reporting childhood abuse or maltreatment respond differently to cognitive-behavioural therapy. To obtain a deeper comprehension of these disorders, it seems important to shift attention from abnormal eating behaviours to more complex and subtle psycho(patho)logical features, especially experiential ones. This characterisation represents the unavoidable premise for the identification of new therapeutic targets and consequently for an improvement of the outcome of these severe disorders. Thus, the present review aims to provide an integrated view of cognitive, psychodynamic, and phenomenological perspectives on EDs, suggesting new therapeutic targets and intervention strategies based on this integrated model. Level of Evidence: Level V.

Level of evidence Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or
reports of expert committees.
Chronic urticaria and thyroid autoimmunity: a meta-analysis of case–control studies
Authors: Tienforti D. , Di Giulio F. , Spagnolo L. , Castellini C. , Totaro M. , Muselli M. , Francavilla S. , Baroni M. G. , Barbonetti A.
Published: February 2022

Purpose

Autoimmunity has been implicated in some patients with idiopathic chronic urticaria (CU). Because of the frequency of autoimmune thyroid diseases, their association with CU deserves special attention. We tested both the existence and the extent of an association between thyroid autoimmunity and CU.

Methods

A thorough search of PubMed, Scopus, Web of Science, and Cochrane databases was performed. Studies reporting the positivity rate for anti-thyroperoxidase antibodies (TPOAbs) in people with (cases) and without CU (controls) were included. Quality of the studies was assessed by the Newcastle–Ottawa Scale. Between-study heterogeneity was assessed by Cochrane Q and I2 tests, and the odds ratio (OR) for TPOAbs positivity was combined using random-effects models.

Results

Nineteen studies provided information about TPOAbs positivity on 14,351 patients with CU and 12,404 controls. The pooled estimate indicated a more than fivefold increased risk of exhibiting TPOAbs positivity in the group with CU (pooled OR 5.18, 95% CI 3.27, 8.22; P < 0.00001). Correction for publication bias had a negligible effect on the overall estimate (pooled adjusted OR: 4.42, 95% CI 2.84, 6.87, P < 0.0001). Between‑study heterogeneity was established (I2 = 62%, Pfor heterogeneity = 0.0002) and when, according to meta‑regression models, a sensitivity analysis was restricted to the 16 studies with the highest quality scores, the OR for TPOAbs positivity rose to 6.72 (95% CI 4.56, 9.89; P < 0.00001) with no significant heterogeneity (I2 = 31%, Pfor heterogeneity = 0.11).

Conclusions

Patients with CU have a five-to-nearly sevenfold higher risk of displaying TPOAbs positivity. All patients with CU may well be offered a screening for thyroid autoimmunity.
Two-factor-based RSA key generation from fingerprint biometrics and password for secure communication
Authors: Suresh K. , Pal Rajarshi , Balasundaram S. R.
Published: February 2022

In an asymmetric-key cryptosystem, the secure storage of private keys is a challenging task. This paper proposes a novel approach for generating the same public and private key pair on a need basis. Hence, the need for secure storage of the private key is done away with. The proposed approach for generating the key pair is based on two factors: fingerprint biometrics and password. A stable binary string is generated from the distances among pairs of minutiae points in a fingerprint using a gray code-based method. Experiments show that gray code representation significantly reduces the number of inconsistencies between the generated bit strings from two instances of the same fingerprint as against the binary code representation. Hence, the Reed–Solomon error correction code successfully corrects errors due to variations in multiple instances of the same fingerprint to induce stability in the generated string. Hash of the stable string generated from the fingerprint and the string generated from hashed password are XORed to derive a stable seed value. The proposed approach uses this seed value to generate two large prime numbers. These prime numbers are used to generate the public and private key pair using the RSA key generation method. This seed value ensures the generation of the same key pair every time. The experimental results show that the proposed approach can ensure a stable generation of the key. It is not required to store either the fingerprint template or the password. Moreover, the generated private key is also not stored. It can be regenerated on a need basis.
The Evolving Security Landscape: Citizens’ Perceptions of Feminism as an Emerging Security Threat
Authors: Olsson Gardell Eva-Karin , Wagnsson Charlotte , Wallenius Claes
Published: February 2022

In this article we explore how Swedish citizens perceive security threats, and how threat perceptions overlap with ideology, trust and demographics. The results show that concerns over security threats are foremost connected to an authoritarian outlook. In addition, four typical groups of security orientations were identified. On the one end of the spectrum, we found one group with anti-immigrant, anti-feminist and anti-egalitarian opinions and low confidence in media and institutions. At the other end, we identified a group dominated by women with university degrees, who believe in egalitarian tolerance and display trust in societal institutions. Even though the findings are in line with previous research on the radical right globally, we were intrigued by the existence of a clearly defined group of respondents that oppose feminism to the extent that it is even seen as a security threat. This is particularly striking given that Sweden is thought of as one of the most equal countries in the world, with a government pursuing a feminist foreign policy.
Biochar for removal of dyes in contaminated water: an overview
Authors: Praveen Saravanan , Jegan Josephraj , Bhagavathi Pushpa Thillainayagam , Gokulan Ravindiran , Bulgariu Laura
Published: February 2022

In recent years, numerous investigations have explored the use of biochar for the removal of organic and inorganic pollutants in single component systems. Biochar is a carbonaceous material produced from waste biomass, mainly by thermochemical conversion methods. This material was used as a biosorbent in various removal processes of pollutants, and its efficiency was strongly influenced by the characteristics of the biomass feedstock. This review integrates the recent works of literature to understand the biosorption behaviour of dyes onto biochar-based biosorbents. The factors influencing the biosorption process and the mechanisms describing the biosorption behaviours of the biochar have been broadly reviewed. Furthermore, the biosorption models can be used to comprehend the competence of the biochar as biosorbent for dye removal techniques.

Graphical Abstract
How new sustainability typologies will reshape traditional approaches to loyalty
Authors: Richardson Neil
Published: February 2022

The benefits of segmentation and loyalty programmes are well established however Business-As-Usual (BAU) models, whether online or traditional, only focus on customers' contributions to the 'bottom line'. Sustainable Development (SD) is inextricably linked to consumers and whilst some studies allude to 'green' segmentation, there are no loyalty ladders or frameworks predicated on Elkington's Triple Bottom Line (TBL). This study aligns with those who think the TBL should be the thread that runs through sustainability research. It looks beyond the question of why firms adopt sustainability and instead consider how they do so by investigating the changes needed for loyalty models and frameworks. The paper is positioned in the overlap between the SD and marketing domains. It facilitates conceptualisation by addressing some of the terminological confusion inherent in sustainability studies. It provides a working definition of SD and a rationale for (and definition of) the preferred term Sustainable Marketing (SM). Assuming marketers want to work in a more sustainable fashion, they need to adapt existing models or adopt new versions. With adaptation representing a smaller change to marketers' modus operandi, it is deemed more likely to be adopted than a radical change. This is conceptualised using two schools of thought, namely the Developmental and Critical schools. This study is positioned in the critical school as it posits that the traditional models are no longer fit for purpose and need adapting or replacing. This approach provides better understanding of why sustainability models (or frameworks) are needed and the need to shape practice, thus going beyond academic theory. Then the paper is in two main sections; first it critiques the BAU building blocks needed for loyalty ladders, namely a marketing orientation and segmentation frameworks. This paper advocates improving loyalty by adopting sustainable building blocks. Hence the second section uses existing adaptations, namely a sustainable market orientation, a sustainable stakeholder typology and a TBL-based segmentation framework (APPROVES), to create a new TBL-based SM loyalty ladder. This will provide a platform for discussion and future research.
Influence of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) vaccinations on cluster events among patients and staff in a tertiary-care hospital in Germany
Authors: Eisenmann Michael , Rauschenberger Vera , Knies Kerstin , Schwarzmann Gerhard , Vogel Ulrich , Krone Manuel
Published: February 2022

In total, 20 severe acute respiratory coronavirus virus 2 (SARS-CoV-2) clusters were analyzed in a tertiary-care hospital from the beginning of the pandemic until July 2021. After the second pandemic wave, the number of clusters decreased with increasing vaccination rates and community infections increased again. These findings should motivate healthcare workers to participate in SARS-CoV-2 vaccination campaigns.
An experimental study on the multiscale properties of turbulence in bubble-laden flows
Authors: Ma Tian , Hessenkemper Hendrik , Lucas Dirk , Bragg Andrew D.
Published: February 2022

The properties of bubble-laden turbulent flows at different scales are investigated experimentally, focusing on the flow kinetic energy, energy transfer and extreme events. The experiments employed particle shadow velocimetry measurements to measure the flow in a column generated by a homogeneous bubble swarm rising in water, for two different bubble diameters ($2.7$mm and$3.9$mm) and moderate gas volume fractions ($0.26\,\%\sim 1.31\,\%$). The two velocity components were measured at high resolution, and used to construct structure functions up to twelfth order for separations spanning the small to large scales in the flow. Concerning the flow anisotropy, the velocity structure functions are found to differ for separations in the vertical and horizontal directions of the flow, and the cases with smaller bubbles are the most anisotropic, with a dependence on void fraction. The degree of anisotropy is shown to increase as the order of the structure functions is increased, showing that extreme events in the flow are the most anisotropic. Our results show that the average energy transfer with the horizontal velocity component is downscale, just as for the three-dimensional single-phase turbulence. However, the energy transfer associated with the vertical component of the fluid velocity is upscale. The probability density functions of the velocity increments reveal that extreme values become more probable with decreasing Reynolds number, the opposite of the behaviour in single-phase turbulence. We visualize those extreme events and find that regions of intense small-scale velocity increments occur near the turbulent/non-turbulent interface at the boundary of the bubble wake.
Discontinuous transitions towards vortex condensates in buoyancy-driven rotating turbulence
Authors: de Wit Xander M. , Aguirre Guzmán Andrés J. , Clercx Herman J.H. , Kunnen Rudie P.J.
Published: February 2022

Using direct numerical simulations of rotating Rayleigh–Bénard convection, we explore the transitions between turbulent states from a three-dimensional (3-D) flow state towards a quasi-2-D condensate known as the large-scale vortex (LSV). We vary the Rayleigh number

$Ra$

as control parameter and study the system response (strength of the LSV) in terms of order parameters, assessing the energetic content in the flow and the upscale energy flux. By sensitively probing the boundaries of the region of existence of the LSV in parameter space, we find discontinuous transitions and we identify the presence of a hysteresis loop as well as a memoryless abrupt growth dynamics. We show furthermore that the creation of the condensate state coincides with a discontinuous transition of the energy transport into the largest mode of the system.
Seasonal evolution of granular and columnar sea ice pore microstructure and pore network connectivity
Authors: Oggier Marc , Eicken Hajo
Published: February 2022

Sea-ice pore microstructure constrains ice transport properties, affecting fluid flow relevant to oil-in-ice transport and biogeochemical processes. Motivated by a lack of pore microstructural data, in particular for granular ice and across the seasonal cycle, throat size, tortuosity, connectivity, and other microstructural variables were derived from X-ray computed tomography for brine-filled pores in seasonal landfast ice off northern Alaska. Data were obtained for granular and columnar ice during the ice growth, transition, and melt season. While granular ice exhibits a more heterogeneous pore space than columnar ice, pore and throat size distributions are comparable. The greater tortuosity of pores in granular (1.2 < τg < 1.7) compared to columnar ice (1.0 < τc < 1.1) compounded with a less interconnected pore space translates into lower permeability for granular ice during the growth season for a given porosity. The microstructural data explain findings of granular ice hindering vertical oil-in-ice transport during ice growth and transition stage. With granular ice more frequent in the changing Arctic, data from studies such as this are needed to inform improved modeling of porosity-permeability relationships.
How Many Latours Is Too Many? Measuring Brand Name Congestion in Bordeaux Wine
Authors: Buccafusco Christopher , Masur Jonathan S. , Whalen Ryan
Published: February 2022

Firms rely on brand names to market goods to consumers, and consumers rely on brand names to locate goods that satisfy their preferences. If multiple firms are using the same or similar names, consumers may be confused about which product to buy, and firms may not obtain the benefits of their investments in quality. Recently, both firms and scholars in a number of industries have expressed concern about brand name congestion—too many firms clustering around too few terms. This paper applies computational linguistic analysis to chateau names in the Bordeaux wine region to study the degree of brand congestion within a mature, traditional, and high-value market. We find that Bordeaux producers have highly similar names to one another, far more than in comparable wine regions such as California and Alsace. More than a quarter of all Bordeaux producers have a name that is identical or nearly so to at least one other producer, and many terms are claimed by dozens of different producers. Interestingly, however, we find that the most famous and renowned producers have names that tend to be more distinctive than their less famous brethren. (JEL Classifications: C88, D83, L66, O34)
It takes guts to be a rebel!
Authors: Zheng Xia , Lang Annie , Almond Anthony , Yan Harry Yaojun
Published: February 2022

Abstract

This study tests two sets of competing hypotheses about the relationship between trait reactivity to positive and negative stimuli (i.e., motivational reactivity), moral stances on social principles (i.e., social morality), and political ideology. Theclassic viewcontends that a specific political ideology or social morality results from a specific motivational reactivity pattern, whereas thedynamic coordination accountsuggests that trait motivational reactivity modulates an individual’s political ideology and social morality as a result of the majority political beliefs in their immediate social context. A survey using subjects recruited from a liberal-leaning social context was conducted to test these hypotheses. Results support the dynamic coordination account. Reactivity to negativity (indexed by defensive system activation scores) is associated with the adoption of the dominant social morality and political ideology. Reactivity to positivity (indexed by appetitive system activation scores) is associated with the adoption of nondominant social moral and political stances.
India’s Farmers’ Protest: An Inclusive Vision of Indian Democracy
Authors: BEHL NATASHA
Published: February 2022

India, the world’s largest democracy, has been experiencing a democratic decline. Since coming to power in 2014 and winning reelection in 2019, Prime Minister Narendra Modi and the Bharatiya Janata Party have become increasingly illiberal and authoritarian. The rule of law has deteriorated, rights and liberties have been curtailed, and scholars and the media have been silenced. If electoral constraint, constitutional design, judicial independence, and a free press haven’t slowed India’s march toward illiberalism, what can? In November 2020, India’s farmers began a highly organized protest against the government. In this research note, I ask, how has this protest protected Indian democracy from further degradation, and has it radically altered India’s political future? I argue that the farmers’ protest provides an alternative vision of democracy, one rooted in radical egalitarianism. Protesting farmers have actualized the spirit of dissent enshrined in the Indian constitution by holding the current government accountable to it.
Laryngeal dysplasia: a 10-year review of rates of progression to invasive carcinoma and treatment-specific outcomes in a regional ENT department in Northern Ireland
Authors: Donaldson G , McCadden L , Napier S , Tan T J
Published: February 2022

Background

Laryngeal dysplasia represents a complex pre-malignant condition characterised by a spectrum of mucosal changes, with a reported malignant transformation rate from dysplasia to invasive carcinoma of 14.0 per cent.

Objective

To identify whether increasing glottic dysplasia severity is associated with higher local malignant transformation rates or adverse clinical outcomes.

Methods

This retrospective cohort study identified 125 patients with any histopathological grade of glottic dysplasia over a 10-year period who were followed up for a standardised 10-year period.

Results

The malignant transformation rate was 21.8 per cent over 10 years, demonstrating a statistically significant greater risk with increasing dysplasia severity. The mean time to transformation was 52 months, with time to transformation statistically associated with increasing dysplasia severity. Rapid progression to carcinoma within 12 months occurred in 40 per cent of cases, and 58 per cent of subsequently diagnosed laryngeal squamous cell carcinomas were tumour stage T1.

Conclusion

Laryngeal dysplasia carries a significant malignant potential, appearing greatest within 12 months of diagnosis and with increasing severity of dysplasia.