bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human-centred design in industry 4.0: case study review and opportunities for future research
Authors: Nguyen Ngoc Hien , Lasa Ganix , Iriarte Ion 
Published: June 2021

AbstractThe transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.
Public space as a medium for emerging governance networks in post-privatised large housing estates in Tartu and Vilnius
Authors: Pirrus Johanna , Leetmaa Kadri 
Published: June 2021

AbstractIn most post-socialist cities modernist mass housing comprises a remarkable share of urban housing with a substantial population living there. Therefore, socialist large housing estates (LHEs) have been a fruitful source for research to gather systematic knowledge concerning segregation and housing preferences. Less is known, however, of contemporary LHE-related urban policies and planning interventions. This study asks how in the post-privatisation era, when former governance structures had disappeared, did new urban governance arrangements related to LHEs begin to emerge. We take a closer look at two LHE areas in post-Soviet cities: Annelinn (Tartu, Estonia) and Žirmunai Triangle (Vilnius, Lithuania). The research is based on expert interviews and document analysis exploring the formation of governance networks in both cities since the 2000s and the rationale behind recent planning initiatives. A common new spatial expectation for housing estates’ residents and contemporary urban planners seems to be a perceptible differentiation of the public, semi-public and private spaces, instead of the former modernist concept of free planning and large open areas between buildings. As the heightened planning interest came at a time when European cohesion measures supported urban budgets, it also has led to tangible investments, and builds the consensus that the public sector should return to post-privatised LHEs. We argue that public space has been a great medium for modern governance networks and bringing LHEs back to the urban agenda in post-socialist cities and that the lessons learned in the post-socialist context provide an insight for the wider global marketization debate.
A parameter-less algorithm for tensor co-clustering
Authors: Battaglia Elena , Pensa Ruggero G. 
Published: June 2021

AbstractThe majority of the data produced by human activities and modern cyber-physical systems involve complex relations among their features. Such relations can be often represented by means of tensors, which can be viewed as generalization of matrices and, as such, can be analyzed by using higher-order extensions of existing machine learning methods, such as clustering and co-clustering. Tensor co-clustering, in particular, has been proven useful in many applications, due to its ability of coping with n-modal data and sparsity. However, setting up a co-clustering algorithm properly requires the specification of the desired number of clusters for each mode as input parameters. This choice is already difficult in relatively easy settings, like flat clustering on data matrices, but on tensors it could be even more frustrating. To face this issue, we propose a new tensor co-clustering algorithm that does not require the number of desired co-clusters as input, as it optimizes an objective function based on a measure of association across discrete random variables (called Goodman and Kruskal’s $$\tau$$
τ
) that is not affected by their cardinality. We introduce different optimization schemes and show their theoretical and empirical convergence properties. Additionally, we show the effectiveness of our algorithm on both synthetic and real-world datasets, also in comparison with state-of-the-art co-clustering methods based on tensor factorization and latent block models.
Understanding the patient experience in hepatocellular carcinoma: a qualitative patient interview study
Authors: Patel Nikunj , Maher Joshua , Lie Xandra , Gwaltney Chad , Barzi Afsaneh , Karwal Mark , Macarulla Teresa , Sun Hui-Chuan , Trojan Jörg , Meyers Oren , Workman Christina , Morgan Shethah , Negro Alejandra , Cohen Gordon 
Published: June 2021

Abstract
Purpose
This study aimed to elucidate the patient experience of hepatocellular carcinoma (HCC) to guide patient-centered outcome measurement in drug development.

Methods
Patients with HCC participated in qualitative interviews to elicit disease-related signs/symptoms and impacts, using discussion guides developed from literature searches and discussions with oncologists. Interview participants rated the disturbance of their experiences (0–10 scale). A conceptual model was developed and mapped against patient-reported outcome (PRO) instruments identified from database reviews.

Results
Interviews were conducted with 25 individuals with HCC (68% were men; median age: 63 years; 12% Barcelona clinic liver cancer (BCLC) stage A; 32% stage B; and 56% stage C) in the USA. Fifty-one HCC-related concepts were identified from the interviews and were grouped into eight sign/symptom categories (eating behavior/weight changes; extremities [arms, legs]; fatigue and strength; gastrointestinal; pain; sensory; skin; other) and four impact categories (emotional; physical; cognitive function; other) for the conceptual model. The most prevalent and disturbing experiences across the disease stages were fatigue/lack of energy and emotional impacts such as frustration, fear, and depression. Abdominal pain and skin-related issues were particularly common and disturbing in individuals with HCC stage C. The EORTC QLQ-C30 and HCC18 were identified as commonly used PRO instruments in HCC studies and captured the relevant signs/symptoms associated with the patient experience.

Conclusion
Patients with HCC reported a range of signs/symptoms and impacts that negatively affect daily functioning and quality of life. Including PRO measures in HCC clinical trials can provide meaningful patient perspectives during drug development.
Risk of burnout in French entrepreneurs during the COVID-19 crisis
Authors: Torrès Olivier , Benzari Alexandre , Fisch Christian , Mukerjee Jinia , Swalhi Abdelaziz , Thurik Roy 
Published: June 2021

Abstract
The COVID-19 crisis presents manifest threats for entrepreneurs since their business survival is often directly at stake given the alarming economic downturn. This existential threat, together with their crucial role in the economy, is the reason for the plethora of public financial support schemes being implemented throughout the entire world. However, support schemes for mental health are lacking. We aim to investigate, first, whether burnout levels have increased during the crisis and, second, whether burnout levels during the COVID-19 crisis depend on the threat of becoming ill, having to stay at home due to the lockdown, and/or having to file for bankruptcy due to the economic downturn. We do so using seven data sets of French entrepreneurs with a temporal comparison of averages and two data sets of French entrepreneurs with a cross-sectional analysis of individuals. Our findings show that indeed, the risks of burnout have increased during the pandemic and that the threat of bankruptcy is the dominant threat. As an increasing number of studies in the entrepreneurship literature indicate that entrepreneurs’ mental health influences their activities, as well as the growth and sustainability of their ventures, our study is important and timely in its contribution, as it takes a close look at the perception of burnout in general and more specifically during the COVID-19 pandemic.

Plain English Summary
The risk of burnout in French entrepreneurs has increased significantly during the COVID-19 pandemic, which calls for not only financial support but also other forms of support. The COVID-19 pandemic presents many threats for entrepreneurs since their business survival is often directly at stake. These threats are not just financial but also related to health, such as the threat of burnout. The findings of our study show that for French entrepreneurs, the threat of burnout increased after the arrival of the COVID-19 pandemic. This finding raises the question whether this outcome is due to the threat to health, the effects of the lockdown, or the threat of bankruptcy. It appears that all three factors play important roles, although the financial threat is the dominant threat. These findings call for the extension of entrepreneurial support systems beyond the financial area by also involving an “entrepreneurship care” aspect, which includes telephone support, webinars, and mental help facilities.
Severe liver disease resembling PSC in mice with K5-Cre mediated deletion of Krüppel-like factor 5 (Klf5)
Authors: Bergström Åsa , Gerling Marco , Van Hul Noémi , Fernández Moro Carlos , Rozell Björn , Toftgård Rune , Sur Inderpreet 
Published: June 2021

AbstractChronic cholestatic liver diseases including primary sclerosing cholangitis (PSC) present a complex spectrum with regards to the cause, age of manifestation and histopathological features. Current treatment options are severely limited primarily due to a paucity of model systems mirroring the disease. Here, we describe the Keratin 5 (K5)-Cre; Klf5fl/fl mouse that spontaneously develops severe liver disease during the postnatal period with features resembling PSC including a prominent ductular reaction, fibrotic obliteration of the bile ducts and secondary degeneration/necrosis of liver parenchyma. Over time, there is an expansion of Sox9+ hepatocytes in the damaged livers suggestive of a hepatocyte-mediated regenerative response. We conclude that Klf5 is required for the normal function of the hepatobiliary system and that the K5-Cre; Klf5fl/fl mouse is an excellent model to probe the molecular events interlinking damage and regenerative response in the liver.
Dynamic Event-triggered Control and Estimation: A Survey
Authors: Ge Xiaohua , Han Qing-Long , Zhang Xian-Ming , Ding Derui 
Published: June 2021

AbstractThe efficient utilization of computation and communication resources became a critical design issue in a wide range of networked systems due to the finite computation and processing capabilities of system components (e.g., sensor, controller) and shared network bandwidth. Event-triggered mechanisms (ETMs) are regarded as a major paradigm shift in resource-constrained applications compared to the classical time-triggered mechanisms, which allows a trade-off to be achieved between desired control/estimation performance and improved resource efficiency. In recent years, dynamic event-triggered mechanisms (DETMs) are emerging as a promising enabler to fulfill more resource-efficient and flexible design requirements. This paper provides a comprehensive review of the latest developments in dynamic event-triggered control and estimation for networked systems. Firstly, a unified event-triggered control and estimation framework is established, which empowers several fundamental issues associated with the construction and implementation of the desired ETM and controller/estimator to be systematically investigated. Secondly, the motivations of DETMs and their main features and benefits are outlined. Then, two typical classes of DETMs based on auxiliary dynamic variables (ADVs) and dynamic threshold parameters (DTPs) are elaborated. In addition, the main techniques of constructing ADVs and DTPs are classified, and their corresponding analysis and design methods are discussed. Furthermore, three application examples are provided to evaluate different ETMs and verify how and under what conditions DETMs are superior to their static and periodic counterparts. Finally, several challenging issues are envisioned to direct the future research.
Levering change: the contributory role of a mathematics teaching framework
Authors: Adler Jill 
Published: June 2021

AbstractLevering change is hard, and an incremental process. In the education process it requires an interaction between teachers, resources and learners. Levering change with human resources—teachers themselves, is a long term, time-intensive process requiring investment and commitment. The teacher–resources relationship is complex and not always optimal, particularly in disadvantaged educational environments where resources are constrained, and the education system is centralized and highly regulated. This article posits a mathematics teaching framework developed in a low-income educational context to make more transparent the relationship between teachers and resources to the benefit of learning both of teachers and of learners.
Autoantibodies in Neuropsychiatric Systemic Lupus Erythematosus (NPSLE): Can They Be Used as Biomarkers for the Differential Diagnosis of This Disease?
Authors: Manca Elias 
Published: June 2021

AbstractSystemic lupus erythematosus is a complex immunological disease where both environmental factors and genetic predisposition lead to the dysregulation of important immune mechanisms. Eventually, the combination of these factors leads to the production of self-reactive antibodies that can target any organ or tissue of the human body. Autoantibodies can form immune complexes responsible for both the organ damage and the most severe complications. Involvement of the central nervous system defines a subcategory of the disease, generally known with the denomination of neuropsychiatric systemic lupus erythematosus. Neuropsychiatric symptoms can range from relatively mild manifestations, such as headache, to more severe complications, such as psychosis. The evaluation of the presence of the autoantibodies in the serum of these patients is the most helpful diagnostic tool for the assessment of the disease. The scientific progresses achieved in the last decades helped researchers and physicians to discover some of autoepitopes targeted by the autoantibodies, although the majority of them have not been identified yet. Additionally, the central nervous system is full of epitopes that cannot be found elsewhere in the human body, for this reason, autoantibodies that selectively target these epitopes might be used for the differential diagnosis between patients with and without the neuropsychiatric symptoms. In this review, the most relevant data is reported with regard to mechanisms implicated in the production of autoantibodies and the most important autoantibodies found among patients with systemic lupus erythematosus with and without the neuropsychiatric manifestations.
Solving the Cauchy problem for the Helmholtz equation using cubic smoothing splines
Authors: Nanfuka Mary , Berntsson Fredrik , Mango John 
Published: June 2021

AbstractWe consider the Cauchy problem for the Helmholtz equation defined in a rectangular domain. The Cauchy data are prescribed on a part of the boundary and the aim is to find the solution in the entire domain. The problem occurs in applications related to acoustics and is illposed in the sense of Hadamard. In our work we consider regularizing the problem by introducing a bounded approximation of the second derivative by using Cubic smoothing splines. We derive a bound for the approximate derivative and show how to obtain stability estimates for the method. Numerical tests show that the method works well and can produce accurate results. We also demonstrate that the method can be extended to more complicated domains.
The Effects of Limosilactobacillus reuteri LR-99 Supplementation on Body Mass Index, Social Communication, Fine Motor Function, and Gut Microbiome Composition in Individuals with Prader–Willi Syndrome: a Randomized Double-Blinded Placebo-Controlled Trial
Authors: Kong Xue-Jun , Liu Kevin , Zhuang Patrick , Tian Ruiyi , Liu Siyu , Clairmont Cullen , Lin Xiaojing , Sherman Hannah , Zhu Junli , Wang Yelan , Fong Michelle , Li Alice , Wang Bryan K. , Wang Jinghan , Yu Zhehao , Shen Chen , Cui Xianghua , Cao Hanyu , Du Ting , Wan Guobin , Cao Xia 
Published: June 2021

AbstractPrader–Willi syndrome (PWS) is a rare genetic disorder associated with developmental delay, obesity, and neuropsychiatric comorbidities. Limosilactobacillus reuteri (Lactobacillus reuteri, Lact. reuteri) has demonstrated anti-obesity and anti-inflammatory effects in previous studies. In the present study, we aim to evaluate the effects of Lact. reuteri supplementation on body mass index (BMI), social behaviors, and gut microbiota in individuals with PWS. We conducted a 12-week, randomized, double-blind, placebo-controlled trial in 71 individuals with PWS aged 6 to 264 months (64.4 ± 51.0 months). Participants were randomly assigned to either receive daily Lact. reuteri LR-99 probiotic (6 × 1010 colony forming units) or a placebo sachet. Groupwise differences were assessed for BMI, ASQ-3, and GARS-3 at baseline, 6 weeks, and 12 weeks into treatment. Gut microbiome data was analyzed with the QIIME2 software package, and predictive functional profiling was conducted with PICRUSt-2. We found a significant reduction in BMI for the probiotic group at both 6 weeks and 12 weeks relative to the baseline (P < 0.05). Furthermore, we observed a significant improvement in social communication and interaction, fine motor function, and total ASQ-3 score in the probiotics group compared to the placebo group (P < 0.05). Altered gut microbiota was observed in the probiotic group to favor weight loss and improve gut health. The findings suggest a novel therapeutic potential for Lact. reuteri LR-99 probiotic to modulate BMI, social behaviors, and gut microbiota in Prader–Willi syndrome patients, although further investigation is warranted.Trial registration Chinese Clinical Trial Registry: ChiCTR1900022646
Atrial fibrillation is a predictor of nonobstructive coronary artery disease in elective angiography in old age: a cross-sectional study in Poland and Russia
Authors: Rogalska Ewelina , Kuźma Łukasz , Wojszel Zyta B. , Kurasz Anna , Napalkov Dmitry , Sokolova Anastasiya , Tomaszuk-Kazberuk Anna 
Published: June 2021

Abstract
Background
Significant changes in the coronary vessels are not confirmed in a large proportion of patients undergoing cardiac catheterization.

Aims
The present study aimed to determine correlates and independent predictors of nonobstructive coronary artery disease (CAD) in older adults referred for elective coronary angiography.

Methods
A cross-sectional study was conducted involving 2,214 patients referred to two medical centers (in Poland and Russia) between 2014 and 2016 for elective coronary angiography due to exacerbated angina, despite undergoing optimal therapy for CAD. The median age was 72 years (IQR: 68–76), and 49.5% patients were women.

Results
Significant stenosis (defined as stenosis of 50% or more of the diameter of the left main coronary artery stem or stenosis of 70% or more of the diameter of the remaining major epicardial vessels) was diagnosed only in 1135 (51.3%) patients. Female sex (odds ratio [OR], 3.01; 95% confidence interval [CI], 2.44–3.72; p < 0.001) and atrial fibrillation (OR, 1.87; 95% CI 1.45–2.40; p < 0.001) were the main independent predictors of nonobstructive CAD. Significantly lower ORs were observed for diabetes (OR, 0.75; 95% CI 0.59–0.95; p = 0.02), chronic kidney disease (OR, 0.76; 95% CI 0.61–0.96; p = 0.02), and anemia (OR, 0.69; 95% CI 0.50–0.95; p = 0.02) after controlling for age, chronic heart failure, BMI, and study center.

Discussion and conclusions
The results confirmed that nonobstructive CAD occurs in a high percentage of older patients referred for elective coronary angiography. This suggests the need to improve patient stratification for invasive diagnosis of CAD, especially for older women and patients with atrial fibrillation.
Trial registration number and date of registration: NCT04537507, September 3, 2020.
Highly Sensitive Pseudocapacitive Iontronic Pressure Sensor with Broad Sensing Range
Authors: Gao Libo , Wang Meng , Wang Weidong , Xu Hongcheng , Wang Yuejiao , Zhao Haitao , Cao Ke , Xu Dandan , Li Lei 
Published: June 2021

Highlights

The iontronic pressure sensor achieved an ultrahigh sensitivity (Smin > 200 kPa−1, Smax > 45,000 kPa−1).

The iontronic pressure sensor exhibited a broad sensing range of over 1.4 MPa.

Pseudocapacitive iontronic pressure sensor using MXene was proposed.

ABSTRACT
Flexible pressure sensors are unprecedentedly studied on monitoring human physical activities and robotics. Simultaneously, improving the response sensitivity and sensing range of flexible pressure sensors is a great challenge, which hinders the devices’ practical application. Targeting this obstacle, we developed a Ti3C2Tx-derived iontronic pressure sensor (TIPS) by taking the advantages of the high intercalation pseudocapacitance under high pressure and rationally designed structural configuration. TIPS achieved an ultrahigh sensitivity (Smin > 200 kPa−1, Smax > 45,000 kPa−1) in a broad sensing range of over 1.4 MPa and low limit of detection of 20 Pa as well as stable long-term working durability for 10,000 cycles. The practical application of TIPS in physical activity monitoring and flexible robot manifested its versatile potential. This study provides a demonstration for exploring pseudocapacitive materials for building flexible iontronic sensors with ultrahigh sensitivity and sensing range to advance the development of high-performance wearable electronics.