bluuebunny/crossref_metadata_2025_split huggingface dataset:
Michael Selections and Castaing Representations with càdlàg Functions
Authors: Perkkiö Ari-Pekka , Treviño-Aguilar Erick 
Published: March 2023

AbstractIt follows from Michael’s selection theory that a closed convex nonempty-valued mapping from the Sorgenfrey line to a euclidean space is inner semicontinuous if and only if the mapping can be represented as the image closure of right-continuous selections of the mapping. This article gives necessary and sufficient conditions for the representation to hold for càdlàg selections, i.e., for selections that are right-continuous and have left limits. The characterization is motivated by continuous time stochastic optimization problems over càdlàg processes. Here, an application to integral functionals of càdlàg functions is given.
Recommending on graphs: a comprehensive review from a data perspective
Authors: Zhang Lemei , Liu Peng , Gulla Jon Atle 
Published: March 2023

AbstractRecent advances in graph-based learning approaches have demonstrated their effectiveness in modelling users’ preferences and items’ characteristics for Recommender Systems (RSs). Most of the data in RSs can be organized into graphs where various objects (e.g. users, items, and attributes) are explicitly or implicitly connected and influence each other via various relations. Such a graph-based organization brings benefits to exploiting potential properties in graph learning (e.g. random walk and network embedding) techniques to enrich the representations of the user and item nodes, which is an essential factor for successful recommendations. In this paper, we provide a comprehensive survey of Graph Learning-based Recommender Systems (GLRSs). Specifically, we start from a data-driven perspective to systematically categorize various graphs in GLRSs and analyse their characteristics. Then, we discuss the state-of-the-art frameworks with a focus on the graph learning module and how they address practical recommendation challenges such as scalability, fairness, diversity, explainability, and so on. Finally, we share some potential research directions in this rapidly growing area.
Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity
Authors: Dec Eric , Clement James , Cheng Kaiyang , Church George M. , Fossel Michael B. , Rehkopf David H. , Rosero-Bixby Luis , Kobor Michael S. , Lin David TS. , Lu Ake T. , Fei Zhe , Guo Wei , Chew Yap Ching , Yang Xiaojing , Putra Sulistyo E. Dwi , Reiner Alex P. , Correa Adolfo , Vilalta Adrian , Pirazzini Chiara , Passarino Giuseppe , Monti Daniela , Arosio Beatrice , Garagnani Paolo , Franceschi Claudio , Horvath Steve 
Published: March 2023

Abstract
Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood and saliva samples from individuals older than 40, including n = 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (r = 0.55) with age effects in old individuals (age > 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age.
Policy choices and compliance behavior in pandemic times
Authors: Calcagnini Giorgio , Pavlinović Mršić Slađana , Policardo Laura , Sanchez Carrera Edgar J. 
Published: March 2023

AbstractIn this paper, we model an evolutionary noncooperative game between politicians and citizens that, given the level of infection, describes the observed variety of mitigation policies and citizens’ compliance during the COVID-19 pandemic period. Our results show that different stable equilibria exist and that different ways/paths exist to reach these equilibria may be present, depending on the choice of parameters. When the parameters are chosen opportunistically, in the short run, our model generates transitions between hard and soft policy measures to deal with the pandemic. In the long-run, convergence is achieved toward one of the possible stable steady states (obey or not obey lockdown rules) as functions of politicians’ and citizens’ incentives.
Higher education teachers' digital competencies for a blended future
Authors: Howard Sarah K. , Tondeur Jo 
Published: March 2023

AbstractWelcome to this special issue, focussing on teachers’ digital competencies in Higher Education. The articles in this special issue explore the question of how digital competencies in higher education are conceptualized after the Great Online Transition, during and after the pandemic. A few of the topics addressed in the special issue are: new competency frameworks, the issue of disciplines and artificial intelligence and looks into the future of higher education learning and teaching. In this preface to the special issue, we first present a brief introduction to the context and the problem statement. We then provide a summary of each of the ten papers included in this special issue, we present how they are related and how each article makes a unique contribution to the main goal of the special issue. Finally, the implications are discussed together with suggestions for future research.
Economic Impact of Potato Virus Y (PVY) in Europe
Authors: Dupuis Brice , Nkuriyingoma Pacifique , Ballmer Theodor 
Published: March 2023

AbstractAs the fourth most prevalent food crop, potato is very important in the global economy, but it is affected by numerous pests, and by many bacterial, viral and fungal diseases. Among these diseases, potato virus Y (PVY), which is transmitted from plant to plant by aphids, causes significant yield losses, but as far as we know, the economic impact of PVY in Europe has not been quantified. Our economic study covers a period of 13 years between 2004 and 2017 and is based on an analysis of statistical, economic and agronomic data, obtained from various stakeholders in the potato sector in Switzerland and the European Union, as well as from field experiments. In Switzerland, the economic loss due to PVY for seed and ware production was estimated at about 2000 and 200 CHF/ha, respectively. For the European Union, the annual losses were estimated at 187 M EUR, respectively 96 and 91 M EUR for seed and ware. These losses were due mainly to the cost of chemical treatments applied in seed potato production and the yield drop in ware potato production. However, based on literature, these significant losses are lower than those caused by potato late blight (Phytophthora infestans), which is considered to be the most economically damaging potato disease in Europe.
Clinical and functional outcome following robotic Heller-myotomy with partial fundoplication in patients with achalasia
Authors: Rabe Sebastian M. , Burmeister Eva , Niebisch Stefan , Gockel Ines 
Published: March 2023

AbstractRobotic-assisted myotomy with partial fundoplication for patients with achalasia has been established as a safe and effective procedure with similar short-term results and lower rates of intraoperative esophageal perforations. Our aim was to investigate a defined patient cohort undergoing robotic-assisted and laparoscopic surgery providing pre- and postoperative symptom score and high-resolution manometry to evaluate the clinical and functional outcome.All patients underwent clinical, endoscopic, radiological and manometric investigation to verify the diagnosis of achalasia. High-resolution manometry was performed preoperatively and 6 months postoperatively and categorized according to the Chicago Classification (v4.0). We used the Eckardt Score to evaluate symptomatic outcome. All patients underwent either robotic-assisted or laparoscopic myotomy with partial anterior fundoplication (180° Dor) using the DaVinci Xi surgical system (Intuitive, Sunnyvale, California, USA). From a total amount of 101 patients, we analyzed the data of 78 (47 robotic and 31 laparoscopic) procedures between 2015 and 2020. All patients showed a significant decrease of the Eckardt Score in the robotic group (median 6 vs. 2) as well as in the laparoscopic group (median 7.5 vs. 3). The postoperative LESP and 4 s-IRP was significantly reduced in all patients in the robotic group [median LESP (mmHg) 34.16 vs. 16.9; median 4 s-IRP (mmHg) 28.85 vs. 14.55], as well as in the laparoscopic group [median LESP (mmHg) 35.34 vs. 17.3; median 4 s-IRP (mmHg) 25.6 vs. 15.9]. There was no significant difference for these parameters between the groups. There was no event of intraoperative esophageal perforation in the robotic cohort, whereas there were 2 in the laparoscopic group. Our data support the safe and effective robotic approach for the surgical treatment of achalasia. Not only the clinical outcome but also the functional results measured by high-resolution manometry are similar to the laparoscopic procedure. Further investigations in larger prospective multicenter studies are needed.
Entrepreneurship innovation using social robots in tourism: a social listening study
Authors: Callarisa-Fiol Luis J. , Moliner-Tena Miguel Ángel , Rodríguez-Artola Rosa , Sánchez-García Javier 
Published: March 2023

AbstractThe tourism sector has been one of the most impacted by the COVID-19 pandemic, due to restrictions on mobility and fear of social contact. In this context, business innovation through digital transformation is presented as a great opportunity for the tourism industry and the inclusion of social robots in service tasks is an example. This transformation requires new methodologies, skills and talent that must be promoted to improve the innovative tourism ecosystem. With this research, we try to determine how the inclusion of social or service robots in hotels can improve the image and perception held by clients or guests. For that, we first analyse the degree of knowledge and sentiment generated by social robots through a social listening study in social networks. In addition, we determine whether these perceptions on the subject are in tune with other more formal fields, such as scientific research, or with the strategies followed at a national or international level by companies, agencies and organisations related to the technology and innovation of social robotics. For both objectives, we use the Simbiu social listening tool, a software-based program on Talkwalker, and we obtain interesting results. Basically, people on Twitter have a neutral or positive feeling about the use of social robots, and people who write in English have a more positive attitude towards social robots than Spanish speakers. After COVID-19, are necessary changes in strategic decisions of the hospitality and it is essential to continue investigating the role of social robots in this new context.
Open innovation: status quo and quo vadis - an analysis of a research field
Authors: Bertello Alberto , De Bernardi Paola , Ricciardi Francesca 
Published: March 2023

AbstractOpen innovation is now a widely used concept in academia, industry, and policy-making. According to the recent report “The Open Innovation Barometer”, released by the Economist, 90% of organizations have either adopted or are planning to implement key open innovation practices by opening up their organizational boundaries to collaborative innovation in the next three years (The Economist Group 2022). However, the social and economic changes imposed by the emerging processes of transition towards a more digital and sustainable society raise questions on how the open innovation field of studies is evolving to meet new, emerging needs. By combining bibliometric techniques and content analysis, this study illustrates how this research community has evolved in the last 12 years. More specifically, this study provides a descriptive analysis of the literature on open innovation, defines its knowledge structure, and illustrates a representative picture of the theoretical landscape. Our analysis shows that attempts to consolidate established topics and theoretical approaches in this field of studies go hand in hand with the emergence of new conversations about unexplored dimensions of open innovation. We conclude this article by outlining some avenues for future research on how to conceptualize, theorize, and research (methods and analytical techniques) open innovation.
Antibody–Drug Conjugate Revolution in Breast Cancer: The Road Ahead
Authors: Grinda Thomas , Rassy Elie , Pistilli Barbara 
Published: March 2023

Opinion statementAntibody drug-conjugates (ADCs) have revolutionized the treatment of many types of cancer, including breast cancer. Recently, two new ADCs have been approved, trastuzumab deruxtecan and sacituzumab govitecan; both have demonstrated impressive improvements in overall survival, trastuzumab deruxtecan in all three subtypes of metastatic breast cancer and sacituzumab govitecan in luminal and triple negative metastatic breast cancer. These drugs are the results of significant progress and innovation in the construction of the three components of an ADC, the monoclonal antibody, the payload, and the linker, and of the discovery of new target antigens. ADC engineering has profoundly changed the paradigm of cancer treatment, on one side being effective on tumors considered inherently resistant to the payload class of drugs and on the other side demonstrating activity in tumors with very low target expression. Yet, it is likely that we are just at the beginning of a new era as the identification of new targets and the introduction of new ADC constructs and combinations will expand the field of ADC rapidly over the coming years.
Robotic painting: mimicking human applicators
Authors: Bansal Karan , Du Yayun , Palan Eric , Quadir Mohiuddin , Khalid Jawed Mohammad 
Published: March 2023

AbstractRobotically assisted painting is widely used for spray and dip applications. However, use of robots for coating substrates using a roller applicator has not been systematically investigated. We showed for the first time, a generic robot arm-supported approach to painting engineering substrates using a roller with a constant force at an accurate joint step, while retaining compliance and thus safety. We optimized the robot design such that it is able to coat the substrate using a roller with a performance equivalent to that of a human applicator. To achieve this, we optimized the force, frequency of adjustment, and position control parameters of robotic design. A framework for autonomous coating is available at https://github.com/duyayun/Vision-and-force-control-automonous-painting-with-rollers; users are only required to provide the boundary coordinates of surfaces to be coated. We found that robotically- and human-painted panels showed similar trends in dry film thickness, coating hardness, flexibility, impact resistance, and microscopic properties. Color profile analysis of the coated panels showed non-significant difference in color scheme and is acceptable for architectural paints. Overall, this work shows the potential of robot-assisted coating strategy using roller applicator. This could be a viable option for hazardous area coating, high-altitude architectural paints, germs sanitization, and accelerated household applications.
Who are ‘Multi-Helpers’? Profile of Older Adults Engaging in Multiple Help-Giving Activities
Authors: Hämäläinen Hans , Tanskanen Antti O. , Danielsbacka Mirkka 
Published: March 2023

AbstractThis study considers older adults providing multiple types of support toward different parties in both public and private domains, referred to as ‘multi-helpers’. Although individuals involved in multiple help-giving activities can be important actors at individual, community, and societal levels, few studies have evaluated their characteristics. Using population-based data for older Finns (n = 2,174) we explored the profiles of multi-helpers for provision of: (1) instrumental help to friends and relatives; (2) financial aid to friends and relatives; (3) volunteering; and (4) charitable giving. Of the respondents, 75% provided instrumental help, 44% provided financial aid, 21% participated in volunteering, and 58% made charitable donations. Overall, 7% were considered multi-helpers, as they were engaged in providing all four types of support. Having a partner, being a widow, having a higher level of education, living in rural area, being religious, and having a larger number of friends increased the probability of being a multi-helper. The findings are interpreted in light of opportunity structures and role extension approaches.
Bioleaching of Scandium from Bauxite Residue using Fungus Aspergillus Niger
Authors: Kiskira Kyriaki , Lymperopoulou Theopisti , Lourentzatos Ioannis , Tsakanika Lamprini-Areti , Pavlopoulos Charalampos , Papadopoulou Konstantina , Ochsenkühn Klaus-Michael , Tsopelas Fotios , Chatzitheodoridis Elias , Lyberatos Gerasimos , Ochsenkühn-Petropoulou Maria 
Published: March 2023

AbstractBauxite residue (BR) is the main by-product of the alkaline production of alumina from bauxite containing significant amounts of valuable metals such as scandium that belongs to rare-earth elements (REEs), classified by the European Community as critical raw materials (CRMs). BR is considered a hazardous waste due to its huge volume and high alkalinity making its disposal a serious universal environmental problem. The recovery of scandium from Greek BR can be an excellent approach for waste management and resource efficiency of the waste using environmentally friendly biometallurgical methods. In this work, bioleaching of scandium from bauxite residue using the fungus Aspergillus niger was studied. Bioleaching experiments were performed using the Taguchi experimental design, in batch cultures with BR at various pulp densities (1, 5 and 10%, w/v), sucrose concentrations (40, 90 and 140 g/L) and fungus suspension of 2, 4, and 6% v/v under one-step bioleaching condition and subculturing. The highest Sc recovery equal to 46%, was achieved in 20 days at 1% pulp density. Biosorption phenomena were observed during the leaching process. Lactic, acetic, oxalic and citric were the main organic acids identified.
Graphical Abstract
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors
Authors: Zhang Jieyu , Wang Zidong , Liu Weibo , Liu Xiaohui , Zheng Qiusheng 
Published: March 2023

AbstractThe recommender system (RS) is a well-known practical application of the state-of-the-art information filtering and machine learning technologies. Traditional recommendation approaches, including collaborative and content-based filtering techniques, have been widely employed to provide suggestions in RSs, where the user-item interaction matrix is the primary data source. In many application domains, interactions between users and items are more likely to be dynamic rather than static, and thus dynamic user behaviors should be taken into account when solving recommendation tasks in order to provide more accurate suggestions. In this work, we consider the sequentially ordered information from user-item interactions in the RSs where a sequence-based recommendation model is put forward with applications to the food recommendation scenario. Furthermore, the long short-term memory (LSTM) network is employed as the building block to establish such a recommendation model, and a collaborative filtering unit is adopted to make personalized food recommendation. The proposed LSTM-based RS is successfully applied to a real-world food recommendation data set. Experimental results demonstrate that the developed method outperforms some currently popular RSs in terms of precision, recall, mean average precision and mean reciprocal rank in food recommendation.
Evaluating the Effects of Information Sources on Innovation Outcomes: Are There Differences between KIBS and Manufacturing Firms from a Latin America Country?
Authors: Moya-Fernández Pablo J. , Seclen-Luna Jean Pierre 
Published: March 2023

AbstractThe aim of this paper is analysing the relationships between sources (internal/external) of information and innovation outcomes (product, service and process) in Peruvian companies. Furthermore, we explore differences and similarities in these relationships when comparing manufacturing firms and knowledge-intensive business services (KIBS) firms. This study presents evidence based on the application of a logit model to a sample of 1141 Peruvian companies, comprising 830 manufacturing firms and 311 KIBS firms. Despite the fact that Peruvian companies do not tend to turn to external sources of information or invest in internal R&D activities, we find positive relationships between sources of information and innovation outcomes in both manufacturing firms and KIBS firms—predominantly process innovation in both cases, followed by product (goods) innovation for manufacturing firms and service innovation for KIBS. Our findings indicate that not all external sources of information have positive effects on product, service and process innovation. Thus, managers should consider proper management of the company’s external relations in order to take advantage of these relationships. Moreover, policymakers should promote interrelationships between the actors in the innovation system (e.g., companies, research centres, universities, etc.) thereby generating opportunities for innovation. This paper provides evidence that the configuration of sources of information (especially internal R&D) plays a significant role in innovation outcomes in both manufacturing firms and KIBS firms, specifically in the context of Latin American countries.