bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Tensor‐based Regression Approach for Human Motion Prediction
Authors: Gril Lorena , Wedenig Philipp , Torkar Chris , Kleb Ulrike 
Published: June 2022

AbstractCollaborative robotic systems will be a key enabling technology for current and future industrial applications. The main aspect of such applications is to guarantee safety for humans. To detect hazardous situations, current commercially available robotic systems rely on direct physical contact to the co‐working person. To further advance this technology, there are multiple efforts to develop predictive capabilities for such systems. Using motion tracking sensors and pose estimation systems combined with adequate predictive models, potential episodes of hazardous collisions between humans and robots can be predicted. Based on the provided predictive information, the robotic system can avoid physical contact by adjusting speed or position. A potential approach for such systems is to perform human motion prediction with machine learning methods like artificial neural networks (NNs). In our approach, the motion patterns of past seconds are used to predict future ones by applying a linear Tensor‐on‐Tensor Regression model, selected according to a similarity measure between motion sequences obtained by dynamic time warping (DTW). For test and validation of our proposed approach, industrial pseudo assembly tasks were recorded with a motion capture system, providing unique traceable Cartesian coordinates for each human joint. The prediction of repetitive human motions associated with assembly tasks, whose data vary significantly in length and have highly correlated variables, has been achieved in real time.
Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah
Authors: Grams Paul E. , Head Eric , Mueller Erich R. 
Published: June 2022

AbstractStreamflow regulation compounded by regional drought has resulted in up to 22% reduction in channel width, changes in channel planform, expansion of riparian vegetation, and alterations to floodplain habitat on the Colorado River in Meander Canyon, Utah. Although some changes in channel width occurred between the 1940s and 1980s, coinciding with major phases of upstream water development, larger decreases in channel width occurred between 1993 and 2006 during periods of exceptionally low annual floods. These findings illustrate that low runoff associated with regional drought and climate change may cause changes in river channel form that accelerate and compound the effects of upstream water development. Declining peak flows have also resulted in disconnection between the wetted channel and floodplains, where inundated back‐levee depressions provide habitat used by two species of threatened and endangered native fish. Despite this disconnection, some back‐levee depressions on the floodplain continue to be inundated by ~1.5‐year recurrence floods via connections created by tributary mouths, floodplain outflow channels, and levee breaches excavated by resident beaver. These changes are shown by analysis of aerial images, high‐resolution bathymetric and topographic measurements, and 2‐dimensional streamflow modeling.
Effects of hydropeaking on drift, stranding and community composition of macroinvertebrates: A field experimental approach in three regulated Swiss rivers
Authors: Tonolla Diego , Dossi Florian , Kastenhofer Olivier , Doering Michael , Hauer Christoph , Graf Wolfram , Schülting Lisa 
Published: June 2022

AbstractHydropeaking operation leads to fluctuations in wetted area between base and peak flow and increases discharge‐related hydraulic forces (e.g. flow velocity). These processes promote macroinvertebrate drift and stranding, often affecting benthic abundance and biomass. Our field experimental study—conducted in three hydropeaking‐regulated Swiss rivers—aimed to quantify (a) the short‐term effects of the combined increase in flow amplitude and up‐ramping rate based on macroinvertebrate drift and stranding, as well as (b) long‐term effects based on the established community composition. Hydropeaking led to increased macroinvertebrate drift compared to base flow and to unaffected residual flow reaches. Moreover, stranding of macroinvertebrates was positively related to drift, especially during the up‐ramping phase. Flow velocity and up‐ramping rate were identified as major determinants for macroinvertebrate drift, while flow ratio and down‐ramping rate for stranding. Particularly high sensitivity towards hydropeaking was found for Limnephilidae, whereas Heptageniidae seemed to be resistant in respect to short‐ and long‐term hydropeaking effects. In the long‐term, hydropeaking did not considerably reduce benthic density of most taxa, especially of some highly resistant and resilient taxa such as Chironomidae and Baetidae, which dominated the community composition even though they showed comparably high drift and stranding responses. Therefore, we argue that high drift and/or stranding, especially of individual‐rich taxa, does not necessarily indicate strong hydropeaking sensitivity. Finally, our results demonstrate the necessity to consider the differences in river‐specific morphological complexity and hydropeaking intensity, since these factors strongly influence the community composition and short‐term drift and stranding response of macroinvertebrates to hydropower pressure.
Popcorn‐Derived Porous Carbon Based Electrochemical Sensor for Simultaneous Determination of Hydroquinone, Catechol and Nitrite
Authors: Lu Zhenyong , Wang Yue , Zhu Yaming , Hasebe Yasushi , Zhang Zhiqiang 
Published: June 2022

AbstractIn this study, popcorn‐derived microporous carbon (PPC) was prepared by pyrolysis method under KOH activation, which was used as an electrochemical sensor material for simultaneous detection of hydroquinone (HQ), catechol (CC), and nitrite (NT). The prepared PPC/GCE exhibited highly electrocatalytic activity to the oxidation of HQ, CC and nitrite. The oxidation peaks for HQ (111 mV), CC (216 mV), and NT (854 mV) were well separated under the optimized conditions. The PPC/GCE showed a wide linear range of 3.0–700 μM, 3.0–500 μM and 5.0–10000 μM for HQ, CC and NT with detection limits of 1.45 μM, 0.49 μM and 1.5 μM, respectively. The KOH‐activated PPC is a promising electrode material for fabricating selective and sensitive electrochemical sensors.
Efficient Degradation of Toluene over CeaMnβOX‐X Synthesized by One‐Step Strategy
Authors: Li Xuelian , Su Huaigang , Zhang Chuanwei , Niu Yongfang , Qi Yanxing 
Published: June 2022

AbstractMesoporous Ce−Mn based bimetallic catalysts were prepared by one‐step method using low‐cost precursors under mild conditions. The catalyst prepared at pH=10.5 and Mn/(Ce+Mn)=1/2 showed the optimal performance, and the complete catalytic oxidation of 3000 ppm toluene could be achieved at 215 °C (WHSV=60,000 mL/(g h)). CeMnOX‐10.5 exhibited the highest specific surface area (SBET=151 m2/g), and the normalized reaction rate was 2.013*10−8 mol ⋅ m−2 ⋅ s−1 with the minimum activation energy (Ea=106.6 kJ/mol). Various characterizations confirmed that the synergistic effect between Ce and Mn was the essential reason for promoting the comprehensive performance of catalysts. In addition, the possible structural defects in the catalyst and the schematic diagram of toluene degradation mechanism are clearly provided.
Microwave‐Assisted Palladium‐catalyzed double C−H Activation: One‐pot Synthesis of Benzo[a]imidazo[5,1,2‐cd]indolizines from 2‐Phenylimidazo[1,2‐a]pyridines and 1,2‐Diiodobenzene
Authors: Prajapati Ronak V. , Prajapati Vaibhav D. , Purohit Vishal B. , Avalani Jemin R. , Kamani Ronak D. , Sapariya Nirav H. , Karad Sharad C. , Raval Dipak K. 
Published: June 2022

AbstractA facile synthetic strategy has been established for the microwave‐assisted construction of two C−C bond via regioselective double arylation of imidazo[1,2‐a]pyridines with 1,2‐diiodobenzene by employing Pd(OAc)2 as a catalyst. The current protocol exhibited a simple, efficient and ligands free synthesis of 1‐phenylbenzo[a]imidazo[5,1,2‐cd]indolizine derivatives in good to excellent yields. This Pd‐catalyzed dual arylation provided a valuable tool for the discovery of fluorescent materials.
A 3D‐Printed, Freestanding Carbon Lattice for Sodium Ion Batteries
Authors: Katsuyama Yuto , Kudo Akira , Kobayashi Hiroaki , Han Jiuhui , Chen Mingwei , Honma Itaru , Kaner Richard B. 
Published: June 2022

AbstractIncreasing mass loadings of battery electrodes critically enhances the energy density of an overall battery by eliminating much of the inactive components, while compacting the battery size and lowering the costs of the ingredients. A hard carbon microlattice, digitally designed and fabricated by stereolithography 3D‐printing and pyrolysis, offers enormous potential for high‐mass‐loading electrodes. In this work, sodium‐ion batteries using hard carbon microlattices produced by an inexpensive 3D printer are demonstrated. Controlled periodic carbon microlattices are created with enhanced ion transport through microchannels. Carbon microlattices with a beam width of 32.8 µm reach a record‐high areal capacity of 21.3 mAh cm−2 at a loading of 98 mg cm−2 without degrading performance, which is much higher than the conventional monolithic electrodes (≈5.2 mAh cm−2 at 92 mg cm−2). Furthermore, binder‐free, pure‐carbon elements of microlattices enable the tracking of structural changes in hard carbon that support the hypothesized intercalation of ions at plateau regions by temporal ex situ X‐ray diffraction measurements. These results will advance the development of high‐performance and low‐cost anodes for sodium‐ion batteries as well as help with understanding the mechanisms of ion intercalations in hard carbon, expanding the utilities of 3D‐printed carbon architectures in both applications and fundamental studies.
Legal aspects, public interest, and legitimate interest in processing personal data to operate autonomous buses in the regular transportation system
Authors: Bu‐Pasha Shakila 
Published: June 2022

AbstractAutonomous or robot vehicles are manufactured with such advanced technologies that they are technically able to operate without human intervention. The number of sensors deployed in automated vehicles is increasing, which runs a high risk of the excessive collection and processing of personal data. Considering European Union and Finnish perspectives on robot buses as an instance of advancements of autonomous vehicles, this article briefly outlines the general legal issues related to developing robot buses, and focuses on public interest and legitimate interest as lawful bases for processing personal data in running such vehicles in the mass transportation system.
A chlorin e6 derivative‐mediated photodynamic therapy for patients with cervical and vaginal low‐grade squamous intraepithelial lesions: a retrospective analysis
Authors: Yao Hongxia , Yan Jia , Zhou Zhongxia , Shen Shuzhan , Wu Yun , Liu Pei , Zhang Haiyan , Wang Xiuli 
Published: June 2022

AbstractCervical and vaginal low‐grade squamous intraepithelial lesions (LSIL) are associated with persistent human papillomavirus infections, and require an efficacious non‐invasive treatment such as photodynamic therapy due to anatomical characteristics. In this study, we evaluated the clinical efficacy and safety of a chlorin e6 derivative named STBF‐mediated photodynamic therapy (STBF‐PDT) for patients with cervical and vaginal LSIL. A total of 18 patients received STBF‐PDT for 3 to 6 times and followed up for 6 to 12 months; among them, 6 had cervical and vaginal LSIL and 1 had vaginal stump LSIL after hysterectomy for cervical cancer. Results showed the complete remission (CR) rates were 72.22% (13/18), and the HPV remission rates and HPV clearance rates were 88.89% (16/18) and 83.33% (15/18), respectively at 1‐month follow‐up. The CR reached 88.89% and HPV remission rates got 94.44% at the 6‐month follow‐up. There were no recurrence cases so far, and no pain, heaving sensation, scar, deformity, and any other obvious adverse reactions occurred during treatment and follow‐up. In conclusion, STBF‐PDT is an effective, safe, and well‐tolerated method for the treatment of cervical and vaginal LSIL. It may have promising potential for applications in the future.
Irritable bowel syndrome with food‐related symptoms: Future directions in the clinical management
Authors: Melchior Chloé , Algera Joost , Colomier Esther , Törnblom Hans , Simrén Magnus 
Published: June 2022

AbstractThe majority of patients with irritable bowel syndrome (IBS) experiences food‐related symptoms, which are associated with high symptom burden, reduced quality of life, increased healthcare consumption and reduced intake of certain nutrients. In this review we aimed to describe a clinically useful approach for physicians, by presenting the latest progress in knowledge and its translation to management in IBS patients with food‐related symptoms, as well as the underlying mechanisms involved. The research tools currently available that can be used in the future for a better characterization of this subgroup of patients are also discussed. Working towards this approach could lead to a more individualised work‐up and management of IBS patients with food‐related symptoms.
Hydrops amnion in a Belgian blue cow combined with prolonged gestation and anencephaly of the calf
Authors: Kemel Celien , Brack Marjolein , Schroyen Karel , Beci Barbara , Opsomer Geert 
Published: June 2022

AbstractIn cattle, hydrops amnion is a rare pathological condition. In the present study, we report such a case in a Belgian blue cow suffering from prolonged gestation. A presumptive diagnosis was based on clinical examination, including transrectal ultrasonography. Management included inducing parturition with dinoprost and dexamethasone, where 36 hours later, a left flank recumbent caesarean section was performed. A live, oversized, male calf (76 kg) with a frontal cephalocele/meningocele was delivered. Postmortem examination revealed anencephaly, characterised by the absence of the cerebrum. Intravenous fluid therapy was administered during surgery to prevent hypovolemic shock, and postoperative treatment consisted of intramuscular injections of 100 IU of oxytocin and antibiotics (procaine benzylpenicillin) for 3 consecutive days. After 5 days, the patient was discharged from the clinic.
Social Networks and the Health of Single Parents
Authors: Keim-Klärner Sylvia 
Published: June 2022

AbstractOver the past decades single parent households have become established in most OECD countries. Single parenting comes with specific risks: single parents bear a higher poverty risk and have worse mental and physical health than married parents. While the relevance of social relations and support for well-being and health has been widely documented, networkanalytical studies are rare in this field. However, they promise new insights into how social network structures, different types of relations and different kinds of interactions impact single parents’ health.
Social Relations, Social Capital, and Social Networks: A Conceptual Classification
Authors: Vonneilich Nico 
Published: June 2022

AbstractSocial relations lie at the core of sociology; they are basically its framework. Without social relations, no social interactions develop. The study of social relations looks back on a long tradition of research, and this tradition is continuing in constantly differentiating and specializing subsystems. The aim of this chapter is to give a brief overview of research traditions on social relations. In particular, it aims to clarify and, where possible, differentiate between concepts that have been developed in the course of research on social relations in sociology and other related disciplines (such as social psychology). Why is a classification necessary? When dealing with research on social relations, it can be observed that different terms are used synonymously and that originally intended demarcations between them blur over time. This chapter addresses the following questions: What terms are used in sociological research on social relations? How are they defined? And how can an overarching concept of social networks emerge from these different terms?
Network Analysis and Health Inequalities: A Methodological Introduction
Authors: Gamper Markus 
Published: June 2022

Abstract“Networks” seem to be omnipresent in modern societies (e.g., networking, online social networks such as Facebook and Twitter, or even criminal and terrorist networks), but the term and its meaning in everyday life often remain amorphous. In order to be able to work with the concept in a scientifically adequate way, this chapter introduces the term “social network,” different forms of network analysis, and survey and data evaluation strategies. What follows is a short overview of different methods and important literature references are given, which can be referred to in more detail, if necessary.
Software Prototype for the Ensemble of Automated Accessibility Evaluation Tools
Authors: Johnson Peter , Lilley Mariana 
Published: June 2022

AbstractWeb accessibility evaluation is concerned with assessing the extent to which web content meets accessibility guidelines. Web accessibility evaluation is typically conducted using manual inspection, user testing and automated testing. The process of automating aspects of accessibility evaluation is of interest to accessibility evaluation practitioners due to manual evaluations requiring substantial time and effort [1]. The use of multiple evaluation tools is recommended [9, 9]; however, aggregating and summarising the results from multiple tools can be challenging [1].This paper presents a Python software prototype for the automatic ensemble of web accessibility evaluation tools. The software prototype performs website accessibility evaluations against the WCAG 2.1 AA guidelines by utilising a combination of four free and commercial evaluation tools. The results from the tools are aggregated and presented in a report for evaluation.The tool enables practitioners to benefit from a coherent report of the findings of different accessibility conformance testing tools, without having to run each separately and then manually combine the results of the tests. Thus, it is envisaged that the tool will provide practitioners with reliable data about unmet accessibility guidelines in an efficient manner.
Self-healing Approach for IoT Architecture: AMI Platform
Authors: Abdulrazak Bessam , Codjo Josué Ayi , Paul Suvrojoti 
Published: June 2022

AbstractThe fast growth of the IoT and the unlimited possibilities in terms of applications and processing brought forth by the 5G which is around the corner is making IoT an active part of the activity of daily living. Those massive architectures become then the target of security issues, broken services, broken hardware or malfunctioning of applications. Moreover, in a system of million connected devices, operating each one of them is impossible making the platform unmaintainable. In this study, we present our attempt to achieve the autonomy of IoT infrastructure and we present some of the existing and recurrent issues undermining the IoT architecture. Then we review existing self-healing techniques that enable a system to be autonomous and solve issues. We also described our IoT platform that targets the self-healing concern. Finally, we point out some recommendations to make an overall reliable, resilient IoT system with cognitive entities for self-management.
Adopting the Internet of Things Technology to Remotely Monitor COVID-19 Patients
Authors: Saidi Abdessamad , Hadj Kacem Mohamed , Tounsi Imen , Hadj Kacem Ahmed 
Published: June 2022

AbstractThe coronavirus known as COVID-19 is the topic of the hour all over the world. This virus has invaded the world with its invariants, which are characterized by their rapid spread. COVID-19 has impacted the health of people and the economy of countries. For that, laboratories, researchers, and doctors are in a race against time to find a cure for this pandemic. To combat this virus, cutting-edge technologies such as artificial intelligence, cloud computing, and big data have been put in place. In our work, we use Internet of Things (IoT) technology. The use of IoT in an efficient way can lead to detecting infected people and avoiding being contaminated. In this paper, we are interested in the remote medical monitoring of patients who have tested positive for COVID-19. We propose a meta-modeling technique to model the IoT architecture. Then we implement two IoT solutions that permit the remote medical monitoring of patients infected with COVID-19 and the respect of social distancing by instantiating correct models that conform to the proposed meta-model in order to mitigate the COVID-19 outbreak.
IoT Architecture with Plug and Play for Fast Deployment and System Reliability: AMI Platform
Authors: Abdulrazak Bessam , Paul Suvrojoti , Maraoui Souhail , Rezaei Amin , Xiao Tianqi 
Published: June 2022

AbstractThe rapid advancement of the Internet of Things (IoT) has reshaped the industrial system, agricultural system, healthcare systems, and even our daily livelihoods, as the number of IoT applications is surging in these fields. Still, numerous challenges are imposed when putting in place such technology at large scale. In a system of millions of connected devices, operating each one of them manually is impossible, making IoT platforms unmaintainable. In this study, we present our attempt to achieve the autonomy of IoT infrastructure by building a platform that targets a dynamic and quick Plug and Play (PnP) deployment of the system at any given location, using predefined pipelines. The platform also supports real-time data processing, which enables the users to have reliable and real-time data visualization in a dynamic dashboard.
Data-Driven Smart Medical Rehabilitation Exercise and Sports Program Using a Living Lab Platform to Promote Community Participation of Individuals with a Disability: A Research and Development Pilot Program
Authors: Lee Seungbok , Oh Yim-Taek , Kim Hogene , Kim Jongbae 
Published: June 2022

AbstractPatients discharged from hospitals following the onset of an acute illness or injury rendered with disabling conditions require systematic medical-based and rehabilitation-focused sports and exercise programs accessible in their communities. This proposal aims to build a data-driven smart health system that allows people with disabilities to continuously improve their health by alleviating modifiable factors, including architectural barriers and related challenges following discharge from an inpatient hospital or rehabilitation course. Our goal is to promote a multi-ministerial data-driven innovative medical exercise system using a digital living lab platform as a testbed program to provide lifestyle exercise and physical education for community-dwelling individuals with disabilities. The pilot program of services will be rendered at the living lab center of the National Rehabilitation Center, equipped with data servers for storing accumulated pertinent information and continuous data acquisition. We envision an encrypted data collection and acquisition system, whereby newly acquired data will be merged with data information from original records of individuals generated during the inpatient hospital course.