bluuebunny/crossref_metadata_2025 huggingface dataset:
A new era for people with cystic fibrosis
Authors: Bierlaagh Marlou C. , Muilwijk Danya , Beekman Jeffrey M. , van der Ent Cornelis K.
Published: July 2021

Cystic fibrosis is the most prevalent inherited disease caused by a defect in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The impaired electrolyte homeostasis caused by the mutated or absent protein leads to symptoms in multiple organ systems. However, the pulmonary manifestation with chronic infections and eventually respiratory failure remains the most important threat. Until one decade ago, only symptomatic treatment was available. However, since 2012, different combinations of CFTR modulators are available for people with cystic fibrosis (pwCF) that carry different mutations. The advent of these drugs has impressively changed life expectancy and quality of life in people with cystic fibrosis and raised new challenges regarding long-term complications and tapering of conventional therapies.

Conclusion: In this review, we provide an update on the latest developments around diagnostics, treatment, and prognosis of pwCF.

What is Known:• Cystic fibrosis is an incurable and life-shortening disease asking for life-long symptomatic treatment.• Three combination CFTR modulating drugs has gained marked approval over the last 10 years.

What is New:• The emerge of new (modulating) therapies contribute to the increasing life expectancy.• A high unmet need to develop new therapies for people with CF who cannot access or benefit from these drugs remains. This review gives an update on the current status.
Self-care, resilience, and caregiver burden in relatives of patients with advanced cancer: results from the eQuiPe study
Authors: van Roij Janneke , Brom Linda , Sommeijer Dirkje , van de Poll-Franse Lonneke , Raijmakers Natasja ,   on behalf of the eQuiPe study group
Published: July 2021

Purpose

Relatives are often involved in caregiving for patients with advanced cancer and carry a heavy burden. Self-care and resilience might be beneficial to enhance their wellbeing and burden-bearing capacity. This study assessed the engagement in self-care and resilience in relatives of patients with advanced cancer and its association with their caregiver burden.

Methods

This study analyzed baseline data of the eQuiPe study, a prospective longitudinal, multicenter, observational study on quality of care and life of patients with advanced cancer and their relatives in which self-care (Self-care Practices Scale), resilience (Connor-Davidson Resilience Scale), and caregiver burden (Zarit Burden Interview (ZBI)) of relatives were included. Their scores were compared with a gender- and age-matched normative population. Multivariable logistic regression analysis was performed to assess the association between self-care and resilience with caregiver burden.

Results

Most of the 746 relatives were the patient’s partner (78%) and 54% reported to be an informal caregiver of the patient. The median hours of caregiving a week for all relatives was 15 and 11% experienced high caregiver burden (ZBI > 20). Relatives who reported a high caregiver burden engaged less often in self-care (OR = .87) and were less resilient (OR = .76) compared to relatives with low/medium caregiver burden. Relatives with high caregiver burden were younger (OR = .96), highly educated (OR = 2.08), often reported to be an informal caregiver of the patient (OR = 2.24), and were less well informed about the importance of self-care (OR = .39).

Conclusion

A significant number of relatives of patients with advanced cancer experienced high caregiver burden. As more self-care and resilience were associated with lower experienced caregiver burden, creating awareness of the beneficial potential of self-care is important. Future studies should illuminate the causal relation.

Trial registration number

NTR6584 (date of registration: 30 June 2017)
Redefining distal symmetrical polyneuropathy features in type 1 diabetes: a systematic review
Authors: Galosi Eleonora , Hu Xiaoli , Michael Nivatha , Nyengaard Jens Randel , Truini Andrea , Karlsson Páll
Published: July 2021

Diabetic neuropathy is among the most frequent complications of both type 1 (T1DM) and type 2 diabetes (T2DM) and commonly manifests as a distal symmetrical polyneuropathy (DSPN). Despite evidence that T1DM- and T2DM-related DSPN are separate entities, most of our knowledge on diabetic DSPN derives from studies focused on type 2 diabetes. This systematic review provides an overview of current evidence on DSPN in T1DM, including its epidemiological, pathophysiological and clinical features, along with principal diagnostic tests findings. This review included 182 clinical and preclinical studies. The results indicate that DSPN is a less frequent complication in T1DM compared with T2DM and that distinctive pathophysiological mechanisms underlie T1DM-related DSPN development, with hyperglycemia as a major determinant. T1DM-related DSPN more frequently manifests with non-painful than painful symptoms, with lower neuropathic pain prevalence compared with T2DM-associated DSPN. The overt clinical picture seems characterized by a higher prevalence of large fiber-related clinical signs (e.g., ankle reflexes reduction and vibration hypoesthesia) and to a lesser extent small fiber damage (e.g., thermal or pinprick hypoesthesia). These findings as a whole suggest that large fibers impairment plays a dominant role in the clinical picture of symptomatic T1DM-related DSPN. Nevertheless, small fiber diagnostic testing shows high diagnostic accuracy in detecting early nerve damage and may be an appropriate diagnostic tool for disease monitoring and screening.
Challenges and Some Recommendations Related to Estimation of in-situ Swelling Pressure of Gouge Materials
Authors: Nilsen Bjørn
Published: July 2021

Faults/weakness zones with gouge containing swelling clay (smectite) have in several cases caused serious stability problems in tunnels. The first part of this paper describes briefly some recent cases of instability/cave-in where swelling clay has been a main cause of the incident, followed by brief reviews of structure and properties of smectite and relevant laboratory test procedures. Main focus is placed on swelling pressure, which is a key parameter for understanding the potential problems that may develop when crossing a major fault/weakness zone, and a key factor also for analysis of stability and rock support requirement. Laboratory test results presented in this paper illustrate that swelling pressure may vary considerably between different locations of the same zone, and that test results based on standard laboratory preparation do not correspond well with results based on testing of in situ undisturbed samples. Swelling pressure based on laboratory testing, therefore, should not be used directly in stability analysis and rock support design. Recommendations on proper use of laboratory test data are given at the end of the paper.
Supremum, infimum and hyperlimits in the non-Archimedean ring of Colombeau generalized numbers
Authors: Mukhammadiev A. , Tiwari D. , Apaaboah G. , Giordano P.
Published: July 2021

It is well-known that the notion of limit in the sharp topology of sequences of Colombeau generalized numbers$$\widetilde{\mathbb {R}}$$R~does not generalize classical results. E.g. the sequence$$\frac{1}{n}\not \rightarrow 0$$1n↛0and a sequence$$(x_{n})_{n\in \mathbb {N}}$$(xn)n∈Nconvergesifand only if$$x_{n+1}-x_{n}\rightarrow 0$$xn+1-xn→0. This has several deep consequences, e.g. in the study of series, analytic generalized functions, or sigma-additivity and classical limit theorems in integration of generalized functions. The lacking of these results is also connected to the fact that$$\widetilde{\mathbb {R}}$$R~is necessarily not a complete ordered set, e.g. the set of all the infinitesimals has neither supremum nor infimum. We present a solution of these problems with the introduction of the notions of hypernatural number, hypersequence, close supremum and infimum. In this way, we can generalize all the classical theorems for the hyperlimit of a hypersequence. The paper explores ideas that can be applied to other non-Archimedean settings.
A randomized controlled trial of a new intervention in early symptomatic syndromes eliciting neurodevelopmental clinical examinations: PR-ESSENCE
Authors: Johnson Mats , Gillberg Carina , Vinsa Ingrid , Fransson Gunnar , Samuelsson Lena , Jakobsson Klara , Östlund Sven , Fernell Elisabeth , Gillberg Christopher
Published: July 2021

The need for effective intervention programs for youth with neurodevelopmental problems (ESSENCE) and challenging behaviour is great. This study examines Problem Resolution in ESSENCE (PR-ESSENCE), a newly developed model in which children and parents develop mutual problem resolution strategies. Ten-week randomized controlled trial of PR-ESSENCE for children and adolescents aged 5–18 years, compared to treatment as usual. Outcomes were assessed at baseline and randomized period endpoint. Primary outcome was the Clinical Global Impression—Improvement scale (CGI-I) rated by blinded assessors. Secondary outcomes were rated by parents—SNAP-IV, Eyberg Child Behavior Inventory (ECBI), Relationship Problems Questionnaire, Family Burden of Illness Module, and children—Beck Youth Inventories (BYI). ClinicalTrials.gov identifier: NCT03780413. The study enrolled 108 participants (activen = 72; controlsn = 36, randomized 2:1), of whom 95 completed the randomized period. No clinically significant group differences were found in baseline characteristics. More than half had autism and 80% had ADD or ADHD. Large treatment effects were seen on CGI-I (ITT analysis, Effect Size 1.48). Treatment responders, much/very much improved on CGI-I, were 51.4% in active group and 5.6% of controls. Effect sizes were medium to large in parent ratings on SNAP-IV (ODD and ADHD symptoms), ECBI (behaviour problems), and in BYI child self-ratings of disruptive behaviour. PR-ESSENCE treatment improved global symptoms and functioning (CGI-I), behaviour problems, ADHD and ODD symptoms, and disruptive behaviour. Treatment effects were at least equivalent to those in previous studies of well-established Parent Management Training and Collaborative Problem Solving programs.
Early outcomes of component separation techniques: an analysis of the Spanish registry of incisional Hernia (EVEREG)
Authors: Pereira-Rodriguez J. A. , Bravo-Salva A. , Montcusí-Ventura B. , Hernández-Granados P. , Rodrigues-Gonçalves V. , López-Cano M. ,   the EVEREG Registry Members
Published: July 2021

Aim

To analyze the outcomes of component separation techniques (CST) to treat incisional hernias (IH) in a large multicenter cohort of patients.

Methods

All IH repair using CST, registered in EVEREG from July 2012 to December 2019, were included. Data on the pre-operative patient characteristics and comorbidities, IH characteristics, surgical technique, complications, and recurrence were collected. Outcomes between anterior (ACS) and posterior component separation (PCS) techniques were compared. Risk factors for complications and recurrences were analyzed.

Results

During the study period, 1536 patients underwent CST (45.5% females) with a median age of 64.0 years and median body mass index (BMI) of 29.7 kg/m2. ACS was the most common technique (77.7%). Overall complications were frequent in both ACS and PCS techniques (36.5%), with a higher frequency of wound infection (10.6% vs. 7.0%; P = 0.05) and skin necrosis (4.4% vs. 0.1%; P < 0.0001) with the ACS technique. Main factors leading to major complications were mesh explant (OR 1.72; P = 0.001), previous repair (OR 0.75; P = 0.038), morbid obesity (OR 0.67; P = 0.015), ASA grade (OR 0.62; P < 0.0001), COPD (OR 0.52; P < 0.0001), and longitudinal diameter larger than 10 cm (OR 0.58; P = 0.001). After a minimum follow-up of 6 months (median 15 months; N = 590), 59 (10.0%) recurrences were diagnosed. Operations performed in a non-specialized unit were significantly associated with recurrences (HR 4.903, CI 1.64–14.65; P = 0.004).

Conclusion

CST is a complex procedure with a high rate of complications. Both ACS and PCS techniques have similar complication and recurrence rates. Operations performed in a specialized unit have better outcomes.
Polluted lignocellulose-bearing sediments as a resource for marketable goods—a review of potential technologies for biochemical and thermochemical processing and remediation
Authors: Haller Henrik , Paladino Gabriela , Dupaul Gabriel , Gamage Shiromini , Hadzhaoglu Burdzhu , Norström Sara , Eivazi Alireza , Holm Svante , Hedenström Erik , Jonsson Anders
Published: July 2021

Lignocellulose-bearing sediments are legacies of the previously unregulated wastewater discharge from the pulp and paper industry, causing large quantities of toxic organic waste on the Baltic Sea floor and on the bottom of rivers and lakes. Several km2 are covered with deposits of lignocellulosic residues, typically heavily contaminated with complex mixtures of organic and inorganic pollutants, posing a serious threat to human and ecological health. The high toxicity and the large volume of the polluted material are challenges for remediation endeavours. The lignocellulosic material is also a considerable bioresource with a high energy density, and due to its quantity, it could appeal to commercialization as feedstock for various marketable goods. This study sets out to explore the potential of using this polluted material as a resource for industrial production at the same time as it is detoxified. Information about modern production methods for lignocellulosic material that can be adapted to a polluted feedstock is reviewed. Biochemical methods such as composting, anaerobic digestion, as well as, thermochemical methods, for instance, HTC, HTL, pyrolysis, gasification and torrefaction have been assessed. Potential products from lignocellulose-bearing sediment material include biochar, liquid and gaseous biofuels, growing substrate. The use of a contaminated feedstock may make the process more expensive, but the suggested methods should be seen as an alternative to remediation methods that only involve costs. Several experiments were highlighted that support the conception that combined remediation and generation of marketable goods may be an appropriate way to address polluted lignocellulose-bearing sediments.

Graphic abstract
Packing under convex quadratic constraints
Authors: Klimm Max , Pfetsch Marc E. , Raber Rico , Skutella Martin
Published: July 2021

We consider a general class of binary packing problems with a convex quadratic knapsack constraint. We prove that these problems are$$\mathsf {APX}$$APX-hard to approximate and present constant-factor approximation algorithms based upon two different algorithmic techniques: a rounding technique tailored to a convex relaxation in conjunction with a non-convex relaxation, and a greedy strategy. We further show that a combination of these techniques can be used to yield a monotone algorithm leading to a strategyproof mechanism for a game-theoretic variant of the problem. Finally, we present a computational study of the empirical approximation of these algorithms for problem instances arising in the context of real-world gas transport networks.
Development of training method for vessel traffic service based on cognitive process
Authors: Song Binbing , Itoh Hiroko , Kawamura Yasumi
Published: July 2021

Vessel traffic service (VTS) is important to protect the safety of maritime traffic. Along with the expansion of monitoring area per VTS operator in Tokyo Bay, Japan, inexperienced operators must acquire the ability to quickly and accurately detect conditions that requires attention (CRAs) from a monitoring screen. In our previous study (Song B, Itoh H, Kawamura Y, Fukuto J (2018) Analysis of Cognitive Processes of Operators of Vessel Traffic Service. In: Proceedings of the 2018 International Association of Institutes of Navigation. IAIN 2018, pp 529–534, Song et al., J Jpn Inst Navig 140:48–54, 2019), we established a task analysis method based on the assumption that the cognitive process model consists of three stages: “situational awareness”, “situation judgment”, and “decision making”. A simulation experiment was conducted for VTS operators with different levels of ability and their cognitive processes were compared based on the observation of eye movements. The results showed that the inexperienced operators’ abilities to predict situation changes were lower. And it was considered that oral transmission of the knowledge is difficult, thus new training methods are needed to help the inexperienced operators to understand the prediction methods of experienced operators. In this study, based on the cognitive process of an experienced operator, we analyzed the prediction procedures of situation changes and developed an educational tool called vessel traffic routine (VTR). The training method learning VTR aims to quickly improve inexperienced VTS operators’ abilities to predict situation changes. A simulation verification experiment of the VTR effect was conducted for four inexperienced operators, who were divided into two groups with and without prior explanation of VTR. By evaluating the cognitive processes of inexperienced operators, it was confirmed that those given prior explanations of VTR were better at detecting CRAs.
The Paraguayan Chaco at a crossroads: drivers of an emerging soybean frontier
Authors: Henderson James , Godar Javier , Frey Gabriel Ponzoni , Börner Jan , Gardner Toby
Published: July 2021

Our study analyzes potential agro-industrial soybean expansion dynamics and is the first to project soybean expansion Paraguayan Chaco. This biodiverse region, home to the greatest diversity of indigenous groups in Paraguay, has recently seen some of the world’s highest deforestation rates, losing 3.4 Mha of forestland between 2001 and 2014. Soy, a globally traded commodity crop and Paraguay’s largest export product, recently arrived in the area and may exacerbate the high deforestation rates currently attributed to pastureland expansion. We combine extensive field, trade, and satellite data, to analyze the context, and push-pull factors that are driving frontier expansion dynamics, and assess the potential impacts of soybean-based land use change using geo-located accounts of current soybean production sites. Our analysis finds that roughly 742,000 ha in the Paraguayan Chaco are suitable for soybean frontier expansion with an additional 940,000 ha moderately suitable for expansion. We identify the main drivers of soybean expansion in the region as agricultural technology and land price appreciation. However, infrastructure investments are set to further drive soybean expansion dynamics and connect the region via navigable rivers and roads with access to ports on the Atlantic and Pacific oceans as part of the multi-nationalCorredor-Bioceánico“bi-oceanic corridor” road project. The continued rapid development of this fragile landscape could transform the Paraguayan Chaco into a major South American logistics hub for soybean and other agricultural production. Without appropriate governance systems in place, this development could lead to irreversible large-scale damage to the socio-environmental systems, similar to boom dynamics seen in other South American frontiers.
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models
Authors: Ievoli Riccardo , Gardini Aldo , Palazzo Lucio
Published: July 2021

Passes are undoubtedly the more frequent events in football and other team sports. Passing networks and their structural features can be useful to evaluate the style of play in terms of passing behavior, analyzing and quantifying interactions among players. The present paper aims to show how information retrieved from passing networks can have a relevant impact on predicting the match outcome. In particular, we focus on modeling both the scored goals by two competing teams and the goal difference between them. With this purpose, we fit these outcomes using Bayesian hierarchical models, including both in-match and network-based covariates to cover many aspects of the offensive actions on the pitch. Furthermore, we review and compare different approaches to include covariates in modeling football outcomes. The presented methodology is applied to a real dataset containing information on 125 matches of the 2016–2017 UEFA Champions League, involving 32 among the best European teams. From our results, shots on target, corners, and such passing network indicators are the main determinants of the considered football outcomes.
Commodity price pass-through along the pricing chain
Authors: Jiménez-Rodríguez Rebeca , Morales-Zumaquero Amalia
Published: July 2021

This paper analyses the commodity price pass-through along the pricing chain for the global commodity price index and the indices of its main categories (i.e., agricultural raw materials, food and beverages, energy and metals) in the world, advanced and emerging economies. To do so, the study considers country-by-country vector autoregression models and pool the results by taking weighted means for 18 advanced economies and 19 emerging countries, as well as for the world (defined as the sum of advanced and emerging economies). The results show the following: (i) there is evidence in favour of partial pass-through from commodity prices to producer prices, although the evidence for the pass-through to consumer prices is less evident; (ii) the pass-through in the world seems to be led by both advanced and emerging countries for producer prices and only by advanced economies for consumer prices; (iii) higher prices in the four categories (agricultural raw materials only in the short-run) induce significant higher producer prices in almost all cases, with shocks in the prices of energy and metals showing the largest effects; and (iv) energy prices explain the highest variability of producer and consumer prices.
Fear of falling and all-cause mortality among young-old community-dwelling adults: a 6-year prospective study
Authors: Belloni Giulia , Büla Christophe , Santos-Eggimann Brigitte , Henchoz Yves , Fustinoni Sarah , Seematter-Bagnoud Laurence
Published: July 2021

This study investigated whether fear of falling (FOF) measured by two different instruments, the Falls Efficacy Scale-International (FES-I) and the single question on FOF and activity restriction (SQ-FAR), is associated with mortality at 6-year follow-up. Participants (n = 1359, 58.6% women) were community-dwelling persons enrolled in the Lausanne cohort 65 + , aged 66 to 71 years at baseline. Covariables assessed at baseline included demographic, cognitive, affective, functional and health status, while date of death was obtained from the office in charge for population registration. Unadjusted Kaplan Meyer curves were performed to show the survival probability for all-cause mortality according to the degree of FOF reported with FES-I and SQ-FAR, respectively. Bivariable and multivariable Cox regression analyses were performed to assess hazard ratios, using time-in-study as the time scale variable and adjusting for variables significantly associated in bivariable analyses. During the 6-year follow-up, 102 (7.5%) participants died. Reporting the highest level of fear at FES-I (crude HR 3.86, 95% CI 2.37–6.29, P < .001) or “FOF with activity restriction” with SQ-FAR (crude HR 2.42, 95% CI 1.44-4.09, P = .001) were both associated with increased hazard of death but these associations did not remain significant once adjusting for gender, cognitive, affective and functional status. As a conclusion, although high FOF and related activity restriction, assessed with FES-I and SQ-FAR, identifies young-old community-dwelling people at increased risk of 6-year mortality, this association disappears when adjusting for potential confounders. As a marker of negative health outcomes, FOF should be screened for in order to provide personalized care and reduce subsequent risks.
Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
Authors: Fraser Hannah , Borquez Annick , Stone Jack , Abramovitz Daniela , Brouwer Kimberly C. , Goodman-Meza David , Hickman Matthew , Patterson Thomas L. , Silverman Jay , Smith Laramie , Strathdee Steffanie A. , Martin Natasha K. , Vickerman Peter
Published: July 2021

Tijuana, Mexico, has a concentrated HIV epidemic among overlapping key populations (KPs) including people who inject drugs (PWID), female sex workers (FSW), their male clients, and men who have sex with men (MSM). We developed a dynamic HIV transmission model among these KPs to determine the extent to which their unmet prevention and treatment needs is driving HIV transmission. Over 2020–2029 we estimated the proportion of new infections acquired in each KP, and the proportion due to their unprotected risk behaviours. We estimate that 43.7% and 55.3% of new infections are among MSM and PWID, respectively, with FSW and their clients making-up < 10% of new infections. Projections suggest 93.8% of new infections over 2020–2029 will be due to unprotected sex between MSM or unsafe injecting drug use. Prioritizing interventions addressing sexual and injecting risks among MSM and PWID are critical to controlling HIV in Tijuana.
Artificial intelligence in the creative industries: a review
Authors: Anantrasirichai Nantheera , Bull David
Published: July 2021

This paper reviews the current state of the art in artificial intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks (RNNs) and deep Reinforcement Learning (DRL). We categorize creative applications into five groups, related to how AI technologies are used: (i) content creation, (ii) information analysis, (iii) content enhancement and post production workflows, (iv) information extraction and enhancement, and (v) data compression. We critically examine the successes and limitations of this rapidly advancing technology in each of these areas. We further differentiate between the use of AI as a creative tool and its potential as a creator in its own right. We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity. In contrast, we observe that the successes of ML in domains with fewer constraints, where AI is the ‘creator’, remain modest. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies. We therefore conclude that, in the context of creative industries, maximum benefit from AI will be derived where its focus is human-centric—where it is designed to augment, rather than replace, human creativity.
An efficient hybrid method for uncertainty quantification
Authors: Wahlsten Markus , Ålund Oskar , Nordström Jan
Published: July 2021

A technique for coupling an intrusive and non-intrusive uncertainty quantification method is proposed. The intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. A stable coupling procedure between the two methods at an interface is constructed. The efficiency of the hybrid method is exemplified using hyperbolic systems of equations, and verified by numerical experiments.
Health-related quality of life of early-stage breast cancer patients after different radiotherapy regimens
Authors: Jacobs Daphne H. M. , Charaghvandi Ramona K. , Horeweg Nanda , Maduro John H. , Speijer Gabrielle , Roeloffzen Ellen M. A. , Mast Mirjam , Bantema-Joppe Enja , Petoukhova Anna L. , van den Bongard Desirée H. J. G. , Koper Peter , Crijns Anne P. G. , Marijnen Corrie A. M. , Verkooijen Helena M.
Published: July 2021

Purpose

To evaluate and compare health-related quality of life (HRQL) of women with early-stage breast cancer (BC) treated with different radiotherapy (RT) regimens.

Methods

Data were collected from five prospective cohorts of BC patients treated with breast-conserving surgery and different RT regimens: intraoperative RT (IORT, 1 × 23.3 Gy; n = 267), external beam accelerated partial breast irradiation (EB-APBI, 10 × 3.85 Gy; n = 206), hypofractionated whole breast irradiation(hypo-WBI, 16 × 2.67 Gy; n = 375), hypo-WBI + boost(hypo-WBI-B, 21–26 × 2.67 Gy; n = 189), and simultaneous WBI + boost(WBI-B, 28 × 2.3 Gy; n = 475).

Women ≥ 60 years with invasive/in situ carcinoma ≤ 30 mm, cN0 and pN0-1a were included. Validated EORTC QLQ-C30/BR23 questionnaires were used to asses HRQL. Multivariable linear regression models adjusted for confounding (age, comorbidity, pT, locoregional treatment, systemic therapy) were used to compare the impact of the RT regimens on HRQL at 12 and 24 months. Differences in HRQL over time (3–24 months) were evaluated using linear mixed models.

Results

There were no significant differences in HRQL at 12 months between groups except for breast symptoms which were better after IORT and EB-APBI compared to hypo-WBI at 12 months (p < 0.001). Over time, breast symptoms, fatigue, global health status and role functioning were significantly better after IORT and EB-APBI than hypo-WBI. At 24 months, HRQL was comparable in all groups.

Conclusion

In women with early-stage breast cancer, the radiotherapy regimen did not substantially influence long-term HRQL with the exception of breast symptoms. Breast symptoms are more common after WBI than after IORT or EB-APBI and improve slowly until no significant difference remains at 2 years posttreatment.
Shear modulus of single wood pulp fibers from torsion tests
Authors: Dauer M. , Wolfbauer A. , Seidlhofer T. , Hirn U.
Published: July 2021

The shear modulus of pulp fibers is difficult to measure and only very little literature is available on this topic. In this work we are introducing a method to measure this fiber property utilizing a custom built instrument. From the geometry of the fiber cross section, the fiber twisting angle and the applied torque, the shear modulus is derived by de Saint Venant’s theory of torsion. The deformation of the fiber is applied by a moving coil mechanism. The support of the rotating part consists of taut bands, making it nearly frictionless, which allows easy control of the torque to twist the fiber. A permanent magnet moving coil meter was fitted with a sample holder for fibers and torque references. Measurements on fine metal bands were performed to validate the instrument. The irregular shape of the fibers was reconstructed from several microtome cuts and an apparent torsion constant was computed by applying de Saint Venant’s torsion theory. Fibers from two types of industrial pulp were measured: thermomechanical pulp (TMP) and Kraft pulp. The average shear modulus was determined as (2.13 $${\pm }$$
±
0.36) GPa for TMP and (2.51 $${\pm }$$
±
0.50) GPa for Kraft fibers, respectively. The TMP fibers showed a smaller shear modulus but, due to their less collapsed state, a higher torsional rigidity than the kraft fibers.
A third-order weighted essentially non-oscillatory scheme in optimal control problems governed by nonlinear hyperbolic conservation laws
Authors: Frenzel David , Lang Jens
Published: July 2021

The weighted essentially non-oscillatory (WENO) methods are popular and effective spatial discretization methods for nonlinear hyperbolic partial differential equations. Although these methods are formally first-order accurate when a shock is present, they still have uniform high-order accuracy right up to the shock location. In this paper, we propose a novel third-order numerical method for solving optimal control problems subject to scalar nonlinear hyperbolic conservation laws. It is based on the first-disretize-then-optimize approach and combines a discrete adjoint WENO scheme of third order with the classical strong stability preserving three-stage third-order Runge–Kutta method SSPRK3. We analyze its approximation properties and apply it to optimal control problems of tracking-type with non-smooth target states. Comparisons to common first-order methods such as the Lax–Friedrichs and Engquist–Osher method show its great potential to achieve a higher accuracy along with good resolution around discontinuities.
Different complex word problems require different combinations of cognitive skills
Authors: Strohmaier Anselm R. , Reinhold Frank , Hofer Sarah , Berkowitz Michal , Vogel-Heuser Birgit , Reiss Kristina
Published: July 2021

Mathematical word problem solving is influenced by various characteristics of the task and the person solving it. Yet, previous research has rarely related these characteristics to holistically answer which word problem requires which set of individual cognitive skills. In the present study, we conducted a secondary data analysis on a dataset of N = 1282 undergraduate students solving six mathematical word problems from the Programme for International Student Assessment (PISA). Previous results had indicated substantial variability in the contribution of individual cognitive skills to the correct solution of the different tasks. Here, we exploratively reanalyzed the data to investigate which task characteristics may account for this variability, considering verbal, arithmetic, spatial, and general reasoning skills simultaneously. Results indicate that verbal skills were the most consistent predictor of successful word problem solving in these tasks, arithmetic skills only predicted the correct solution of word problems containing calculations, spatial skills predicted solution rates in the presence of a visual representation, and general reasoning skills were more relevant in simpler problems that could be easily solved using heuristics. We discuss possible implications, emphasizing how word problems may differ with regard to the cognitive skills required to solve them correctly.
On inferring population trends of mobile waterbirds from aerial transect surveys in variable environments
Authors: Caley Peter , Reid Julian R. W. , Colloff Matthew J. , Barry Simon C.
Published: July 2021

Monitoring waterbird populations in Australia is challenging for reasons of counting logistics, and because population aggregation and dispersion can shift rapidly in response to large spatio-temporal variations in resource availability. The East Australian Waterbird survey has conducted annual, aerial, systematic counts of waterbirds over eastern Australia for almost 40 years. It was designed to monitor waterbird populations using design-based inference though for many species this form of inference appears inadequate in the face of these challenges. Here we develop a state-space model-based Bayesian approach that, in addition to explicitly incorporating process noise and observation uncertainty, uses random effects and rainfall-derived covariates to model the year-to-year variation in the proportion of the total (super) population that is present on surveyed wetlands, and available to be counted. We use this model-based approach to estimate the superpopulation size of 45 waterbird species annually, and model the rate of population increase as a function of antecedent rainfall. The results confirm the strong positive effect of antecedent rainfall on population growth rates for nearly all species, and illustrate that species respond to rainfall differently in terms of habitat use, which influences whether they are present on surveyed wetlands. For many species, the year-to-year variation in the estimated proportion of the population on surveyed wetlands is very high. The results have implications for making inferences on population trends from these data, with the ability to model the year-to-year sampling variation a key requirement before the rate of population increase can be estimated with any precision. This study illustrates how to progress this approach, and infers that under average rainfall conditions, the general trend is for estimated superpopulation rates of increase to be negative, though for only a few species is this occurring with strong belief.
Domestic versus foreign energy use: an analysis for four European countries
Authors: Camacho José A. , da Silva Almeida Lucas , Rodríguez Mercedes , Molina Jesús
Published: July 2021

In order to adequately assess energy policies and set clear objectives, a key preliminary step is to know the energy use patterns of the different countries. This paper estimates the evolution of the total energy use over the period 1995–2015 in four European Union (EU) countries, the Czech Republic, Hungary, Italy, and Spain, representative of two different energy patterns, the “Southern” one and the “Eastern” one. For doing so, we employ a Multi-Regional Input Output (MRIO) model. In difference with previous studies, in addition to differentiate between domestic and foreign use we distinguish whether this energy is produced domestically or abroad. The results obtained show a certain convergence in energy intensity across the four countries examined because of the radical transformations experienced by the Czech Republic and Hungary. Nonetheless, energy intensities are still substantially higher in Eastern than in Southern countries which confirms that the first group of countries have still a long road to go, especially regarding the incentives that their industries have to use energy efficiently. Taking our decomposition of total energy use, the reductions in total energy use were mainly caused by a high decrease in the importance of the domestic use of energy produced domestically. At the same time, a growing importance of the role played by the energy produced abroad was observed. These trends confirm the great importance of global value chains and the steady internalization of energy use. This methodology could be further applied to other countries.
Uncertainty Quantification in Image Segmentation Using the Ambrosio–Tortorelli Approximation of the Mumford–Shah Energy
Authors: Hintermüller Michael , Stengl Steven-Marian , Surowiec Thomas M.
Published: July 2021

The quantification of uncertainties in image segmentation based on the Mumford–Shah model is studied. The aim is to address the error propagation of noise and other error types in the original image to the restoration result and especially the reconstructed edges (sharp image contrasts). Analytically, we rely on the Ambrosio–Tortorelli approximation and discuss the existence of measurable selections of its solutions as well as sampling-based methods and the limitations of other popular methods. Numerical examples illustrate the theoretical findings.
Physiological constraints and the transition to growth: implications for comparative development
Authors: Dalgaard Carl-Johan , Madsen Jakob B. , Strulik Holger
Published: July 2021

It is a well known fact that economic development and distance to the equator are positively correlated variables in the world today. It is perhaps less well known that as recently as 1500 C.E. it was the other way around. The present paper provides a theory of why the ‘latitude gradient’ changed sign in the course of the last half millennium. In particular, we develop a dynamic model of economic and physiological development in which households decide upon the number and nutrition of their offspring. In this setting we demonstrate that relatively high metabolic costs of fertility, which may have emerged due to positive selection towards greater cold tolerance in locations away from the equator, would work to stifle economic development during pre-industrial times, yet allow for an early onset of sustained growth. As a result, the theory suggests a reversal of fortune whereby economic activity gradually shifts away from the equator in the process of long-term economic development. Our empirical results give supporting evidence for our hypothesis.
Parallel Simulation of Two-Dimensional Ising Models Using Probabilistic Cellular Automata
Authors: D’Autilia Roberto , Andrianaivo Louis Nantenaina , Troiani Alessio
Published: July 2021

We study the numerical simulation of the shaken dynamics, a parallel Markovian dynamics for spin systems with local interaction and transition probabilities depending on the two parameters q and J that “tune” the geometry of the underlying lattice. The analysis of the mixing time of the Markov chain and the evaluation of the spin-spin correlations as functions of q and J, make it possible to determine in the (q, J) plane a phase transition curve separating the disordered phase from the ordered one. The relation between the equilibrium measure of the shaken dynamics and the Gibbs measure for the Ising model is also investigated. Finally two different coding approaches are considered for the implementation of the dynamics: a multicore CPU approach, coded in Julia, and a GPU approach coded with CUDA.
Distinguishing L-functions by joint universality
Authors: Steuding Jörn
Published: July 2021

In this note, we present results for distinguishing L-functions by their multisets of zeros and unique factorizations in an axiomatic setting; our tools stem from universality theory.
Ascription of the differences between Germany and Uganda’s Land Use, Land-Use Change, and Forestry sector greenhouse gas methodologies for inventory improvement
Authors: Mugarura Michael , Stümer Wolfgang , Dunger Karsten , Bolte Andreas , Ramlow Matt , Ackom Emmanuel , Röhling Steffi
Published: July 2021

Germany, as an Annex I Party is expected to prepare and submit annual Greenhouse Gas (GHG) Inventories of emissions and removals, including Land Use, Land-Use Change, and Forestry (LULUCF) sector. Uganda, a non-Annex 1 party, is institutionalizing a sustainable national GHG inventory system. The LULUCF sector is a key emission source and plays a vital role in these two countries’ GHG inventories. This research analyzes the differences between applied LULUCF methodologies in Uganda as a developing country and Germany as a developed country with a particular focus on the forestry sector. It further analyzes the root cause factors for the different approaches, existing gaps and gives recommendations for future inventory improvement. The intricate institutional, policy framework, expertise, and applied methodological approaches for carbon change estimations in biomass pools are analyzed. Uncertainty analysis and time-series consistency process is reviewed with regard to how the countries’ quality assurance/control (QA/QC) and verification approaches adhere to the transparency framework. Resource limitations and data collection challenges dictate that Uganda uses the tier 1 methodological approach for emissions inventory. Consolidation and institutionalization of the GHG process will improve inventory accuracy while enhancing adherence to climate commitments. Germany uses higher tiers. Besides, government support for planned improvements using the recently developed country-specific biomass functions for estimating belowground biomass of silver birch, oak, and Scotch pine tree species will be essential for improving inventory quality. Operationalization of the inventory plan (IP) will be critical in driving inventory improvements geared towards time-series consistency, comparability, and transparency.
Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control
Authors: Chen Rongjun , Zheng Zhijun , Pan Junfeng , Yu Yongxing , Zhao Huimin , Ren Jinchang
Published: July 2021

With the development of 5G technology, the short delay requirements of commercialization and large amounts of data change our lifestyle day-to-day. In this background, this paper proposes a fast blind deblurring algorithm for QR code images, which mainly achieves the effect of adaptive scale control by introducing an evaluation mechanism. Its main purpose is to solve the out-of-focus caused by lens shake, inaccurate focus, and optical noise by speeding up the latent image estimation in the process of multi-scale division iterative deblurring. The algorithm optimizes productivity under the guidance of collaborative computing, based on the characteristics of the QR codes, such as the features of gradient and strength. In the evaluation step, the Tenengrad method is used to evaluate the image quality, and the evaluation value is compared with the empirical value obtained from the experimental data. Combining with the error correction capability, the recognizable QR codes will be output. In addition, we introduced a scale control parameter to study the relationship between the recognition rate and restoration time. Theoretical analysis and experimental results show that the proposed algorithm has high recovery efficiency and well recovery effect, can be effectively applied in industrial applications.
Occupational Social Class and Earnings Inequality in Europe: A Comparative Assessment
Authors: Goedemé Tim , Nolan Brian , Paskov Marii , Weisstanner David
Published: July 2021

While there is renewed interest in earnings differentials between social classes, the contribution of social class to overall earnings inequality across countries and net of compositional effects remains largely uncharted territory. This paper uses data from the European Union Statistics on Income and Living Conditions to assess earnings differentials between social classes (as measured by ESeC) and the role of between-class inequality in overall earnings inequality across 30 European countries. We find that there is substantial variation in earnings differences between social classes across countries. Countries with higher levels of between-class inequality tend to display higher levels of overall earnings inequality, but this relationship is far from perfect. Even with highly aggregated class measures, between-class inequality accounts for a non-negligible share of total earnings inequality (between 15 and 25% in most countries). Controlling for observed between-class differences in composition shows that these account for much of the observed between-class earnings inequality, while in most countries between-class differences in returns to observed compositional variables do not play a major role. In all these respects we find considerable variation across countries, implying that both the size of between-class differences in earnings and the primary mechanisms that produce these class differences vary substantially between European countries.
Two Classes of Eruptive Events During Solar Minimum
Authors: Bhowmik P. , Yeates A. R.
Published: July 2021

During solar minimum, the Sun is relatively inactive with few sunspots observed on the solar surface. Consequently, we observe a smaller number of highly energetic events such as solar flares or coronal mass ejections (CMEs), which are often associated with active regions on the photosphere. Nonetheless, our magnetofrictional simulations during the minimum period suggest that the solar corona is still dynamically evolving in response to the large-scale shearing velocities on the solar surface. The non-potential evolution of the corona leads to the accumulation of magnetic free energy and helicity, which is periodically shed in eruptive events. We find that these events fall into two distinct classes: One set of events are caused by eruption and ejection of low-lying coronal flux ropes, and they could explain the origin of occasional CMEs during solar minimum. The other set of events are not driven by destabilisation of low-lying structures but rather by eruption of overlying sheared arcades. These could be associated with streamer blowouts or stealth CMEs. The two classes differ significantly in the amount of magnetic flux and helicity shed through the outer coronal boundary. We additionally explore how other measurables such as current, open magnetic flux, free energy, coronal holes, and the horizontal component of the magnetic field on the outer model boundary vary during the two classes of event. This study emphasises the importance and necessity of understanding the dynamics of the coronal magnetic field during solar minimum.