bluuebunny/crossref_metadata_2025_split huggingface dataset:
First insular population of the critically endangered Cistus heterophyllus subsp. carthaginensis on Cabrera Archipelago National Park (Balearic Islands, Spain)
Authors: Cardona Carles , Capó Miquel 
Published: December 2022

AbstractCistus heterophyllus subsp. carthaginensis is considered one of the most endangered plants of Spain and has been object to many conservation programs and research projects. Until now, only two small spots were located in Europe: a population of one self-incompatible specimen was found in Valencia and another small population in Cartagena, disturbed by human impact and hybridization with close-relatives. Therefore, the conservation of this taxon has been one of the most defeating issues in the current plant conservation strategies of the Mediterranean workgroups. In this study, we report, describe and cense a new population of this taxon located at the furthest accessible area of the isle of Cabrera Gran in Cabrera Archipelago National Park. The population contains 59 individuals of C. heterophyllus subsp. carthaginensis, the most abundant known population of this species, with a high representation of young individuals (83%). However, some threats are currently compromising the stability of this population: the presence of Cistus albidus in surrounding areas is producing hybrids (Cistus × clausonii) and the high abundance of rats and rabbits is affecting the population recruitment. For this reason, urgent conservation actions must be designed to protect and enhance this population. Overall, this new finding offers new insights on the distribution and conservation strategies of this species.
Evaluating earthquake-induced widespread slope failure hazards using an AHP-GIS combination
Authors: Kohno Masanori , Higuchi Yuki , Ono Yusuke 
Published: December 2022

AbstractLandslides and slope failures are often caused by earthquakes. This study proposes a method to map earthquake-induced slope failure hazards that uses the analytic hierarchy process (AHP) and a geographic information system (GIS) for four districts where many slope failures were induced by earthquakes (the 2018 Hokkaido Eastern Iburi, 2016 Kumamoto, 2008 Iwate-Miyagi Nairiku, and 2004 Mid Niigata Prefecture earthquakes). The assessment system, which was based on the National Research Institute for Earth Science and Disaster Resilience landslide distribution maps, was analyzed using the methods of previously published. We considered the relationships between the earthquake-induced slope failure distributions and landslide hazard factors (elevation, slope angle, slope type, catchment degree, geology, and vegetation). These relationships were utilized for pairwise comparisons of the factors in the AHP analysis. The slope angle, slope type, and catchment degree exerted the highest effects on the slope failure distribution in the four districts. The four earthquake-induced slope failure distributions were highly consistent with the slope failure hazard rank. These results provide a practical method for evaluating earthquake-induced slope-failure hazards.
Since Albert and Whetten: the dissemination of Albert and Whetten’s conceptualization of organizational identity
Authors: Knorr Karin , Hein-Pensel Franziska 
Published: December 2022

AbstractSince the seminal work of Albert and Whetten, the organizational identity concept has become ubiquitous and highly relevant in various fields. This study systematically reviews how Albert and Whetten’s concept of organizational identity has been disseminated in different research areas. It employs quantitative (topic modeling) and qualitative text analysis, as well as a network analysis to examine a sample of 1,041 papers published between 1985 and mid-2022 that cite Albert and Whetten’s seminal work. Using this method of systematic literature analysis, the current study investigates the criteria of the basic definition and hypotheses mentioned in their work that contribute to its increasing significance, and those with the potential to become substantial aspects of future organizational identity research. Accordingly, Albert and Whetten’s conceptualization of organizational identity is often partially adopted in the literature. Thus, this study contributes to organizational identity research by unveiling further research questions on the evolving character of organizational identity, research methodology, and quantitative operationalization, on the basis of Albert and Whetten’s organizational identity conceptualization.
Body mass index–based predictions and personalized clinical strategies for colorectal cancer in the context of PPPM
Authors: Gu Yun-Jia , Chen Li-Ming , Gu Mu-En , Xu Hong-Xiao , Li Jing , Wu Lu-Yi 
Published: December 2022

Abstract
Currently colorectal cancer (CRC) is the third most prevalent cancer worldwide. Body mass index (BMI) is frequently used in CRC screening and risk assessment to quantitatively evaluate weight. However, the impact of BMI on clinical strategies for CRC has received little attention. Within the framework of the predictive, preventive, and personalized medicine (3PM/PPPM), we hypothesized that BMI stratification would affect the primary, secondary, and tertiary care options for CRC and we conducted a critical evidence-based review. BMI dynamically influences CRC outcomes, which helps avoiding adverse treatment effects. The outcome of surgical and radiation treatment is adversely affected by overweight (BMI ≥ 30) or underweight (BMI < 20). A number of interventions, such as enhanced recovery after surgery and robotic surgery, can be applied to CRC at all levels of BMI. BMI-controlling modalities such as exercise, diet control, nutritional therapy, and medications may be potentially beneficial for patients with CRC. Patients with overweight are advised to lose weight through diet, medication, and physical activity while patients suffering of underweight require more focus on nutrition. BMI assists patients with CRC in better managing their weight, which decreases the incidence of adverse prognostic events during treatment. BMI is accessible, noninvasive, and highly predictive of clinical outcomes in CRC. The cost–benefit of the PPPM paradigm in developing countries can be advanced, and the clinical benefit for patients can be improved with the promotion of BMI-based clinical strategy models for CRC.
Born this way: the effect of an unexpected child benefit at birth on longer-term educational outcomes
Authors: Sánchez-Coll Sergi 
Published: December 2022

AbstractAiming to boost fertility rates, in 2007 the Spanish government implemented a universal €2500 baby bonus paid to mothers giving birth or adopting a child, leading to a short-lived increase in births. In this study, I measure the causal impact that the transfer had on the language and mathematical competencies of the children of eligible mothers at the end of primary school in the Catalonia region. I do so by taking advantage of how the policy was announced, leading to a sharp regression discontinuity design and a difference-in-discontinuities specification. The subsidy did not improve student achievement at age 12, since in the preferred diff-in-disc specification using the pooled sample of schools we can rule out grade improvements greater than 0.1 standard deviation units with 95% confidence. While some effects in the subsample of boys in disadvantaged schools are large in magnitude, of roughly 0.2–0.41 standard deviation units representing a 4–11% improvement from the average test score, they do not reach statistical significance and are likely caused by the high variability in test scores both before and after the policy implementation rather than by the subsidy itself, as suggested by robustness tests.
Dynamic modeling and infinite-dimensional observer-based control for manipulation of flexible beam by a multi-link robot
Authors: Liu Shuyang , Li Yuanchun 
Published: December 2022

AbstractThis paper concerns an infinite-dimensional observer for manipulation of flexible beam by a rigid arm robot. The complex dynamic of the system is described by distributed parameter model in terms of ordinary differential equations and partial differential equation. A novel infinite-dimensional observer is proposed to estimate the vibration information of the flexible object. In addition, an observer-based independent joint controller is designed to achieve the position control and vibration suppression, which do not need end-point boundary control. The semigroup theory and LaSalle’s invariance principle are adopted to prove the asymptotic stability of the robot system. The efficiency of the observers and the proposed control strategy are demonstrated by numerical simulations.
Efficient combination graph model based on conditional random field for online multi-object tracking
Authors: Zhang Junwen , Zhang Xiaolong , Zhu Ziqi , Deng Chunhua 
Published: December 2022

AbstractThe joint detection and re-identification (re-ID) strategy shares network features of detection and re-ID, sacrifices the complex probability graph model pairing strategy, and consolidates a two-stage video tracking process into a one-stage, making the multi-object tracking process simple, fast, and accurate. In dense scenes, identified transfer is a major challenge for joint detection and re-ID. To this end, a probability graph model suitable for joint detection and re-ID is presented. The proposed model abandons the idea of matching candidate detections with historical detections in a classical probability graph, uses a scheme to calculate the degree of matching between candidate detections and historical trajectories, and transforms task of ID matching in re-ID process into an energy minimization problem of a conditional random field (CRF). However, the solution space of general CRF is complex and requires an iterative search. To achieve efficient online tracking, the original CRF problem is approximately transformed into a combination of multiple CRF problems with closed-form solutions. Moreover, the proposed algorithm has been applied in practical applications using an edge-cloud model that maintains the balance between performance and efficiency. Extensive experiments on the well-known MOTchallenge benchmark demonstrate the superior performance of the proposed algorithm.
Sampling Procedure, Characterization, and Quantitative Analyses of Industrial Aluminum White Dross
Authors: Solem Cathrine Kyung Won , Deledda Stefano , Tranell Gabriella , Aune Ragnhild E. 
Published: December 2022

AbstractUp to 10% of all metallic aluminum (Al) produced is lost due to dross generation during production. It also causes an environmental problem due to hazardous waste generation following treatment, as well as toxic gas generation when in contact with water/humidity. As a result, it is desirable to identify the parameters contributing to the generation of the Al white dross mixture. In view of this, a sampling procedure for collecting representative dross samples directly from the casthouse holding furnace has been developed together with a methodology for analyzing and evaluating the results. XRD was used for phase/chemical composition analyses of sieved dross samples, and both ring milling and cryomilling were used during sample preparation. Cryomilling proved to be the superior method allowing dross fractions < 1.25 and 1.25–4.5 mm to be pulverized. The fractions were analyzed and revealed that the sampling location inside the furnace plays a vital role as the injection of primary-produced Al into the furnace influences the dross characteristics. From Location 1 (closest to the injection point) to Location 4 (furthest away from the injection point), the metallic Al content in the dross decreased simultaneously as the oxide content increased. The results also confirmed that the larger size fraction had a higher metallic Al concentration, which correlates well with literature findings. By adopting a methodical sampling procedure followed by consistent routines for sample preparation, characterization, and analyses, process operations can be studied and thereby potentially used to minimize the loss of Al due to dross formation.
Graphical Abstract
Prioritizing vaccination based on analysis of community networks
Authors: Klise Katherine , Beyeler Walt , Acquesta Erin , Thelen Haedi , Makvandi Monear , Finley Patrick 
Published: December 2022

AbstractMany countries that had early access to COVID-19 vaccines implemented vaccination strategies that prioritized health care workers and the elderly. As barriers to access eased, vaccine prioritization strategies have been relaxed. However, these strategies are still an important tool for decision makers to manage new variants, plan for future booster shots, or stage mass vaccinations. This paper explores the impact of vaccine prioritization strategies using networks that represent communities with different demographics and connectivity. The impact of vaccination is compared to non-medical intervention to reduce transmission. Several sources of uncertainty are considered, including vaccine willingness and mask effectiveness. This paper finds that while prioritization strategies can have a large impact on reducing deaths and peak hospitalization, selecting the best strategy depends on community characteristics and the desired objective. Additionally, in some cases random vaccination performs as well as more targeted prioritization strategies. Understanding these trade-offs is important when planning vaccine distribution.
Towards a guide for developers and novice researchers on human-centered design of the take-over request—Combining user experience and human factors
Authors: Lindner Alisa , Stoll Tanja 
Published: December 2022

AbstractWith major developments in road traffic, especially automated and connected driving, new challenges in designing human-vehicle interaction arise. Human Factors is a field of research that analyzes the interaction between humans and systems to reduce error and increase productivity, safety and comfort. Related to that, User Experience (UX) Design is based on the human-centered design process and the principle of considering human needs throughout the development cycle. We highlight similarities and differences and discuss how the combination of these two disciplines can help developers facing one of the urgent challenges in automated driving: the design of take-over scenarios from automated to manual driving. To address this question, we present an exemplary process flow that combines elements of Human Factors and UX Design in order to develop safe and pleasant to use solutions. In this context, relevant theoretical models and practical methods are discussed.Practical Relevance: This paper aims to guide an interdisciplinary development team through the design of the take-over scenario using the human-centered design process (ISO 2019): Phase (0) problem statement; (1 & 2) understand the context of use and identify user requirements; (3) formulate meaningful How-might-we questions and generate ideas; and (4) collect user feedback to evaluate the designed solution. This article provides starting points for both researchers in academia as well as developers in the industry and contributes to the lively discourse about the self-image of human-centered design and corresponding disciplines.
Der bildungssprachliche Texthandlungstyp Beschreiben im Sachunterricht der Grundschule – eine Analyse elaborierter Texte
Authors: Fornol Sarah L. , Wildemann Anja 
Published: December 2022

ZusammenfassungDie Sprachhandlung des Beschreibens wird als zentral für das Lernen im Sachunterricht angesehen. Im Sinne des Konzepts der Textprozeduren stellt sie einen Texthandlungstyp dar, auf den u. a. beim Verfassen von Vorgangsbeschreibungen zurückgegriffen wird. Durch die Realisierung von Handlungsschemata des Texthandlungstyps Beschreiben wird es möglich, Anforderungen von Sachtexten (wie z. B. einer entpersonalisierten Ausdrucksweise) zu entsprechen und damit bildungssprachliche Funktionen (wie z. B. Verallgemeinerung) zu realisieren. Das Beschreiben stellt somit eine bildungssprachliche Textprozedur dar. Der Beitrag geht der Frage nach, welche Handlungsschemata dem Texthandlungstyp Beschreiben zugeordnet werden können. Dafür werden 18 Texte von Lernenden der dritten Jahrgangsstufe aus dem Fach Sachunterricht zu drei Themen inhaltsanalytisch untersucht. Grundlage für die Analyse ist ein im Rahmen einer Pilotierung entwickeltes Kriterienraster.
Dynamic performance verification of the Rędziński Bridge using portable camera-based vibration monitoring systems
Authors: Bocian Mateusz , Nikitas Nikolaos , Kalybek Maksat , Kużawa Mieszko , Hawryszków Paweł , Bień Jan , Onysyk Jerzy , Biliszczuk Jan 
Published: December 2022

Abstract
The assessment of dynamic performance of large-scale bridges typically relies on the deployment of wired instrumentation systems requiring direct contact with the tested structures. This can obstruct their operation and create unnecessary risks to the involved personnel and equipment. These problems can be readily avoided by using non-contact instrumentation systems. However, the cost of off-the-shelf commercial products often prevents their wide adoption in engineering practice. To this end, the dynamic performance of the biggest one-pylon cable-stayed bridge in Poland is investigated based on data from a consumer-grade digital camera and open access image-processing algorithms. The quality of these data is benchmarked against data obtained from conventional wired accelerometers and a high-end commercial optical motion capture system. Operational modal analysis is conducted to extract modal damping, which has a potential to serve as an indicator of structural health. The dynamic properties of the bridge are evaluated against the results obtained during a proof loading exercise undertaken prior to the bridge opening. It is shown that a vibration monitoring system based on consumer-grade digital camera can indeed provide an economically viable alternative to monitoring the complex time-evolving dynamic behaviour patterns of large-scale bridges.
Observing actions in global games
Authors: Grafenhofer Dominik , Kuhle Wolfgang 
Published: December 2022

AbstractWe study Bayesian coordination games where agents receive noisy private information over the game’s payoffs, and over each others’ actions. If private information over actions is of low quality, equilibrium uniqueness obtains in a manner similar to a global games setting. On the contrary, if private information over actions (and thus over the game’s payoff coefficient) is precise, agents can coordinate on multiple equilibria. We argue that our results apply to phenomena such as bank-runs, currency crises, recessions, or riots and revolutions, where agents monitor each other closely.
Conflicting Conceptions of Hate Speech in the ECtHR’s Case Law
Authors: Sottiaux Stefan 
Published: December 2022

AbstractThis article argues that the ECtHR uses two conflicting tests to assess the same types of hate speech. This results in legal uncertainty at best, and arbitrariness and double standards at worst. To remedy the present situation, I propose a two-track strategy. To begin with, the Court should abandon its “bad tendency” approach, a test prone to abuse by governments to silence political dissent under the guise of fighting hate speech, for a set of uniform criteria to assess hate speech-restrictions, in line with its current incitement approach. In addition, however, to compensate for the loss of protection against severe forms of vilification which do not meet the incitement-criteria, the Court should formulate a new category of unprotected speech, to be defined as intentional intimidation or harassment.
Dosimetric accuracy of Acuros® XB and AAA algorithms for stereotactic body radiotherapy (SBRT) lung treatments: evaluation with PRIMO Monte Carlo code
Authors: Sarin B. , Bindhu B. , Raghu Kumar P. , Sumeesh S. , Saju B. 
Published: December 2022

Abstract

Purpose:
The study aimed to compare the dosimetric performance of Acuros® XB (AXB) and anisotropic analytical algorithm (AAA) for lung SBRT plans using Monte Carlo (MC) simulations.

Methods:
We compared the dose calculation algorithms AAA and either of the dose reporting modes of AXB (dose to medium (AXB-Dm) or dose to water (AXB-Dw)) algorithms implemented in Eclipse® (Varian Medical Systems, Palo Alto, CA) Treatment planning system (TPS) with MC. PRIMO code was used for the MC simulations. The TPS-calculated dose profiles obtained with a multi-slab heterogeneity phantom were compared to MC. A lung phantom with a tumour was used to validate TPS algorithms using different beam delivery techniques. 2D gamma values obtained from Gafchromic film measurements in the tumour isocentre plane were compared with TPS algorithms and MC. Ten VMAT SBRT plans generated in TPS with each algorithm were recalculated with a PRIMO MC system for identical beam parameters for the clinical plan validation. A dose–volume histogram (DVH) based plan comparison and a 3D global gamma analysis were performed.

Results:
AXB demonstrated better agreement with MC and film measurements in the lung phantom validation, with good agreement in PDD, profiles and gamma analysis. AAA showed an overestimated PDD, a significant difference in dose profiles and a lower gamma pass rate near the field borders. With AAA, there was a dose overestimation at the periphery of the tumour. For clinical plan validation, AXB demonstrated higher agreement with MC than AAA.

Conclusions:
AXB provided better agreement with MC than AAA in the phantom and clinical plan evaluations.
Dose-response of plasticulture summer squash and triploid watermelon to fomesafen applied pre-transplanting
Authors: Arana Jeanine , Meyers Stephen L. , Johnson William G , Guan Wenjing 
Published: December 2022

AbstractDose-response trials to determine the tolerance of summer squash and watermelon to fomesafen applied (over the top of black polyethylene mulch and respective row middles) pre-transplanting were performed between 2020 and 2021 at three Indiana locations: the Meigs Horticulture Research Farm (MEIGS), the Pinney Purdue Agricultural Center (PPAC), and the Southwest Purdue Agricultural Center (SWPAC). Summer squash trials were performed at the MEIGS and PPAC locations, and watermelon trials were performed at the MEIGS and SWPAC locations. The experiments for both summer squash and watermelon had a split-plot arrangement in which the main plot was herbicide rate, and the subplot was cultivar. Summer squash injury included necrotic leaf margin, chlorosis, brown and white spots, and stunting. Fomesafen rates from 262 to 1,048 g ai ha−1 in 2020 at both locations, and from 280 to 1,120 g ai ha−1 in 2021 at MEIGS did not affect summer squash yield. However, in 2021 at PPAC, fomesafen applied at rates from 280 to 1,120 g ha−1 delayed summer squash harvest and decreased marketable yield from 95% to 61% compared with the nontreated control. Watermelon injury included bronzing and stunting. Fomesafen rates from 210 to 840 g ai ha−1 did not affect marketable watermelon yield or fruit number. Crop safety was attributed to rain, which washed off most of the herbicide from the polyethylene mulch before plants were transplanted or little to no rain after transplant. Injury was observed only when there was no rain before transplant followed by excessive rain shortly after transplant. Overall, the 1× rate used for each trial was safe for use 1 d before transplanting summer squash and 6 to 7 d before transplanting watermelon.