bluuebunny/crossref_metadata_2025_split huggingface dataset:
Typen und Strategien von Täterinnen bei sexuellem Kindesmissbrauch
Authors: Gebhardt Tanita , Briken Peer , Tozdan Safiye , Schröder Johanna 
Published: December 2021

Zusammenfassung
Hintergrund
Bei sexuellem Kindesmissbrauch wird in der Regel an einen männlichen Täter gedacht. Frauen, die Kinder sexuell missbrauchen, stellen in unserer Gesellschaft immer noch ein Tabuthema dar. Täter:innentypologien können ein wichtiges Hilfsmittel darstellen, um zu verbesserten Interventionsmaßnahmen, Rehabilitationsleistungen sowie zur Verbrechensprävention beizutragen. Bisherige Typologien zu weiblichen Tätern im Kontext sexuellen Kindesmissbrauchs konzentrieren sich entweder auf Persönlichkeitsmerkmale oder Verhaltensweisen. Die vorliegende Analyse vereint beide Aspekte und versucht somit, bisherige Forschung zu ergänzen.

Methodik
Zur Entwicklung einer Täterinnentypologie wurden 30 schriftliche Berichte und transkribierte Anhörungen von weiblichen sowie männlichen Betroffenen und Zeug:innen mittels qualitativer Inhaltsanalyse ausgewertet.

Ergebnisse
Es wurden 4 Täterinnentypen und ihre Strategien herausgearbeitet: die sadistische Täterin, die vermittelnde Täterin, die parentifizierende Täterin und die instruierende Täterin.

Schlussfolgerungen
Eine Wissensvermittlung hinsichtlich der Täterinnentypen an verschiedene Institutionen der Gesellschaft könnte die Aufklärungsarbeit bezüglich weiblicher Täterinnen im Kontext sexuellen Kindesmissbrauchs intensivieren.
More than a snapshot: dynamic value-in-use emergence in e-services
Authors: Bulawa Nicole , Jacob Frank 
Published: December 2021

AbstractSupporting consumers’ value-in-use (ViU) emergence throughout a usage process has become increasingly challenging as, in today’s environment, usage has shifted from discrete events to continuous e-service interactions. Although researchers acknowledge that ViU is dynamic and evolves over time, most studies treat it as a static concept. Using the empirical context of language learning applications, the authors adopt a dynamic perspective on e-service ViU and extend it with regulatory mode theory using a qualitative approach. By applying the underlying functions of self-regulation: locomotion and assessment, the authors investigate how ViU emerges throughout a usage process and establish an eight-stage ViU emergence process, ranging from initial trigger to termination. By examining a consumer’s usage, assessments, and movements, practitioners can pinpoint a consumer’s location in the ViU emergence process and take appropriate measures to further promote ViU emergence in e-services.
FAM65A as a novel prognostic biomarker in human tumors reveal by a pan-cancer analysis
Authors: Liang Wenken , Mo Chune , Wei Jianfen , Chen Wei , Gong Weiwei , Shi Jianling , Hou Xianliang , Li Chunhong , Deng Yecheng , Ou Minglin 
Published: December 2021

AbstractBackgroundFamily with sequence similarity 65 member A (FAM65A), also known as RIPOR1, is differentially expressed between human tumor and non-tumor tissues in kinds of cancers. In addition, it was reported that the product ofFAM65Amay be a biomarker for cholangiocarcinoma patients. However, there is still no evidence on the relationship between theFAM65Aand different types of tumors. Our study is mainly for exploring the prognostic values ofFAM65Ain pan-cancer and for further discovering a potential therapeutics target.MethodsWe analyzedFAM65Aexpression, prognostic values, genetic alteration, protein phosphorylation, immune infiltration and enrichment analysis across different types of human malignant tumors based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Additionally, Real-Time PCR (RT-qPCR) was performed to further confirm the roles ofFAM65Ain the pathogenesis of colorectal cancer.ResultsWe found thatFAM65Aexpression was associated with the prognosis of multiple human tumors, especially colorectal cancer. Moreover, we also observed thatFAM65Awas highly expressed in colorectal cancer through RT-qPCR. We observed that decreasing phosphorylation level of the S351 locus in colon adenocarcinoma, uterine corpus endometrial carcinoma and lung adenocarcinoma. And the expression ofFAM65Awas positively related to cancer-associated fibroblasts (CAFs) infiltration in many tumors, such as colon adenocarcinoma. Therefore,FAM65Amay be a potential prognostic biomarker of human tumors.
Higher education decisions and macroeconomic conditions at age eighteen
Authors: Graves Jennifer , Kuehn Zoë 
Published: December 2021

AbstractUsing individual data from PIAAC and data on youth unemployment for 18 countries, we test how macroeconomic conditions experienced at age eighteen affect the following decisions in post-secondary and tertiary education: (i) enrollment (ii) dropping-out, (iii) type of degree completed, (iv) area of specialization, and (v) time-to-degree. We also analyze how the effects vary by gender and parental background. Our findings differ across geographies (Anglo-Saxon, Southern European, Western European, and Scandinavian countries), which shows that the impacts of macroeconomic conditions on higher education decisions depend on context, such as labor markets and education systems. By analyzing various components of higher education together, we are able to obtain a clearer picture of how during economic downturns potential mechanisms interact to determine higher education decisions.
The obstacles and challenges of transition towards a renewable and sustainable energy system in Azerbaijan and Poland
Authors: Cholewa Marcin , Mammadov Farid , Nowaczek Agnieszka 
Published: December 2021

AbstractThe aims of the paper are to identify and assess the determinants of transition to renewable and sustainable energy development in Azerbaijan and Poland. Both countries have a clear target to increase the share of renewable energy sources (RES) in the gross final energy consumption, i.e. Poland in the National Energy and Climate Plan for the years 2021–2030 declares that it wishes to achieve 21–23% by 2030 (total consumption in electricity, heating and cooling as well as for transport purposes). But there are currently significant producers and consumers of conventional energy carriers, respectively coal and oil, and these fuels ensure an appropriate level of energy security and production stability. Moreover, in Poland, the mining sector plays a very important social role, whereas the oil industry in Azerbaijan creates significant budget revenue. Therefore, even with stronger EU and worldwide climate policy and a decreasing cost of cleaner forms of energy, there are many challenges and obstacles for such countries in increasing energy from RES associated with energy security, efficiency, existing infrastructure, competitiveness and social aspects. In order to identify best practices for the transition to decarbonisation, the availability of energy resources, energy market structures, national strategies and policies were compared using PESTEL analysis.
Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization
Authors: Wang Bing , Singh Hemant Kumar , Ray Tapabrata 
Published: December 2021

AbstractWhen solving expensive multi-objective optimization problems, surrogate models are often used to reduce the number of true evaluations. Based on predictions from the surrogate models, promising candidate solutions, also referred to as infill solutions, can be identified for evaluation to expedite the search towards the optimum. This infill process in turn involves optimization of certain criteria derived from the surrogate models. In this study, predicted hypervolume maximization is considered as the infill criterion for expensive multi/many-objective optimization. In particular, we examine the effect of normalization bounds on the performance of the algorithm building on our previous study on bi-objective optimization. We propose a more scalable approach based on “surrogate corner” search that shows improved performance where some of the conventional techniques face challenges. Numerical experiments on a range of benchmark problems with up to 5 objectives demonstrate the efficacy and reliability of the proposed approach.
Enhancing the magnetocaloric response of high-entropy metallic-glass by microstructural control
Authors: Yin Hangboce , Law Jia Yan , Huang Yongjiang , Shen Hongxian , Jiang Sida , Guo Shu , Franco Victorino , Sun Jianfei 
Published: December 2021

AbstractNon-equiatomic high-entropy alloys (HEAs), the second-generation multi-phase HEAs, have been recently reported with outstanding properties that surpass the typical limits of conventional alloys and/or the first-generation equiatomic single-phase HEAs. For magnetocaloric HEAs, non-equiatomic (Gd36Tb20Co20Al24)100−xFex microwires, with Curie temperatures up to 108 K, overcome the typical low temperature limit of rare-earth-containing HEAs (which typically concentrate lower than around 60 K). For alloys with x = 2 and 3, they possess some nanocrystals, though very minor, which offers a widening in the Curie temperature distribution. In this work, we further optimize the magnetocaloric responses of x = 3 microwires by microstructural control using the current annealing technique. With this processing method, the precipitation of nanocrystals within the amorphous matrix leads to a phase compositional difference in the microwires. The multi-phase character leads to challenges in rescaling the magnetocaloric curves, which is overcome by using two reference temperatures during the scaling procedure. The phase composition difference increases with increasing current density, whereby within a certain range, the working temperature span broadens and simultaneously offers relative cooling power values that are at least 2-fold larger than many reported conventional magnetocaloric alloys, both single amorphous phase or multi-phase character (amorphous and nanocrystalline). Among the amorphous rare-earth-containing HEAs, our work increases the working temperature beyond the typical <60 K limit while maintaining a comparable magnetocaloric effect. This demonstrates that microstructural control is a feasible way, in addition to appropriate compositional design selection, to optimize the magnetocaloric effect of HEAs.
Definition of an FHIR-based multiprotocol IoT home gateway to support the dynamic plug of new devices within instrumented environments
Authors: Zampognaro Paolo , Paragliola Giovanni , Falanga Vincenzo 
Published: December 2021

AbstractInternet of Things (IoT) technologies have become a milestone advancement in the digital healthcare domain, since the number of IoT medical devices is grown exponentially, and it is now anticipated that by 2020, there will be over 161 million of them connected worldwide. Therefore, in an era of continuous growth, IoT healthcare faces various challenges, such as the collection over multiple protocols (e.g. Bluetooth, MQTT, CoAP, ZigBEE, etc.) the interpretation, as well as the harmonization of the data format that derive from the existing huge amounts of heterogeneous IoT medical devices. In this respect, this study aims at proposing an advanced Home Gateway architecture that offers a unique data collection module, supporting direct data acquisition over multiple protocols (i.e.BLE, MQTT) and indirect data retrieval from cloud health services (i.e. GoogleFit). Moreover, the solution propose a mechanism to automatically convert the original data format, carried over BLE, in HL7 FHIR by exploiting device capabilities semantic annotation implemented by means of FHIR resource as well. The adoption of such annotation enables the dynamic plug of new sensors within the instrumented environment without the need to stop and adapt the gateway. This simplifies the dynamic devices landscape customization requested by the several telemedicine applications contexts (e.g. CVD, Diabetes) and demonstrate, for the first time, a concrete example of using the FHIR standard not only (as usual) for health resources representation and storage but also as instrument to enable seamless integration of IoT devices. The proposed solution also relies on mobile phone technology which is widely adopted aiming at reducing any obstacle for a larger adoption.
Revisiting the Experiential Effect: How Criminal Offending Affects Juveniles’ Perceptions of Detection Risk
Authors: Kaiser Florian , Huss Björn , Reinecke Jost 
Published: December 2021

AbstractPerceptual deterrence research has consistently found that criminal offending is inversely related to subsequent perceptions of the risk of being caught or arrested. This inverse relationship has been dubbed an “experiential effect,” reflecting the idea that people learn by committing (undetected) crimes that the detection or arrest risk is lower than first feared. The current study explores the validity of this experiential argument. It relies on self-report data from 3,259 adolescent participants in the panel study Crime in the modern City (Duisburg, Germany). We computed detection rates and risk perceptions, and used fixed effects models to investigate the proposed experiential learning process. Most findings support the experiential argument: (1) juvenile offenses were rarely detected by the police, (2) juveniles (especially those inexperienced with crime) tended to overestimate the detection risk, (3) juveniles reduced their risk perceptions when they committed crimes, (4) this reduction occurred primarily among those who overestimated the detection risk in periods when they were not committing crimes. However, the study also produced the surprising finding that the experiential effect seems to be short-lived: people appeared to return to initial risk perception levels when they stopped committing crimes. Overall, the results corroborate the experiential argument. However, they also indicate that the argument may need revision to account for the potential short-term nature of the experiential effect. This “ephemerality effect” is good news for policy, as lowered risk perceptions will in most cases only temporarily increase the likelihood of future delinquency.
Running online experiments using web-conferencing software
Authors: Li Jiawei , Leider Stephen , Beil Damian , Duenyas Izak 
Published: December 2021

AbstractWe report the results of a novel protocol for running online experiments using a combination of an online experimental platform in parallel with web-conferencing software in two formats—with and without subject webcams—to improve subjects’ attention and engagement. We compare the results between our online sessions with the offline (lab) sessions of the same experiment. We find that both online formats lead to comparable subject characteristics and performance as the offline (lab) experiment. However, the webcam-on protocol has less noisy data, and hence better statistical power, than the protocol without a webcam. The webcam-on protocol can detect reasonable effect sizes with a comparable sample size as in the offline (lab) protocol.
Technokratie und Freiheit: Zur Ideengeschichte der digitalen Steuerungsutopie
Authors: Schulz Daniel 
Published: December 2021

ZusammenfassungGegen das präsentistische (Selbst‑)Verständnis der Digitalisierung vertritt der Beitrag die These, dass die Entwicklung der digitalen Konstellation eng mit der utopischen Tradition des politischen Denkens verbunden ist. Die Idee einer technischen Steuerung politischer und sozialer Ordnungsfragen ist Ausdruck eines spezifisch modernen Verfügbarkeitsdenkens, das in der Geschichte der politischen Utopien seit Thomas Morus in verschiedenen Varianten durchgespielt wurde. Der Beitrag skizziert in einem ersten Schritt diese Vorgeschichte von der Frühen Neuzeit bis in das zwanzigste Jahrhundert, um dann im zweiten Schritt exemplarisch die behavioristische Utopie B. F. Skinners in diese Entwicklung der technischen Verhaltenskonditionierung einzureihen. Im letzten Teil wird dann gezeigt, wie das digitale Ordnungsdenken der Gegenwart im Zeichen von Big Data erneut an die umfassenden Steuerungshoffnungen der hochmodernen Humantechnik anknüpft. Abschließend wird die Frage gestellt, wie sich die politische Theorie im Deutungskonflikt der Digitalisierung verorten sollte.
Elements of the anthropological theory of didactics in the selection of contents in a course of fluid mechanics in engineering, a case study in Spanish universities
Authors: Palencia José Luis Díaz , Redondo Antonio Naranjo , Caballero Pedro Vivas 
Published: December 2021

Abstract
The Anthropological Theory of Didactics has been applied to the field of didactics of mathematics with remarkable success. Fluid Mechanics is a discipline with a strong mathematical background, where mathematics is used for modeling the continuous nature. In addition, the Fluid Mechanics concepts are essential for the future engineer or scientist. For this reason, it is worth thinking whether the content that developed in engineering schools or science faculties are those demanded by the future professionals. The analysis has been done within the context of a case study framed in the Spanish noosphere, more particularly Universities and Companies. In this direction, the objective of this article is to know the institutional distance between the University and society as a demander of technologies based on Fluid Mechanics. To this end, the methodology based on the issuance of a questionnaire to experts focused on aspects such as present and emerging content associated with the Fluid Mechanics of an engineering degree is used. Note that the number of experts selected is reduced so as to consider the study as a sourcing for introducing expert thoughts on the fluid mechanics conception between university and companies. The results highlight the existence of an institutional distance between the University and the Enterprise (as a technology executor) in the conception of contents, thus establishing an area of potential improvement within the noosphere associated with fluid mechanics in Spain.

Highlights

Questionnaire to experts to understand the current institutional relations between University and Company in the Spanish system.

Application of the Anthropological Theory of Didactics (ATD) techniques to Fluid Mechanics.

Confirmation of an institutional distance between University and Companies in Fluid Mechanics conceptions.
A novel ResNet101 model based on dense dilated convolution for image classification
Authors: Zhang Qi 
Published: December 2021

AbstractImage classification plays an important role in computer vision. The existing convolutional neural network methods have some problems during image classification process, such as low accuracy of tumor classification and poor ability of feature expression and feature extraction. Therefore, we propose a novel ResNet101 model based on dense dilated convolution for medical liver tumors classification. The multi-scale feature extraction module is used to extract multi-scale features of images, and the receptive field of the network is increased. The depth feature extraction module is used to reduce background noise information and focus on effective features of the focal region. To obtain broader and deeper semantic information, a dense dilated convolution module is deployed in the network. This module combines the advantages of Inception, residual structure, and multi-scale dilated convolution to obtain a deeper level of feature information without causing gradient explosion and gradient disappearance. To solve the common feature loss problems in the classification network, the up- down-sampling module in the network is improved, and multiple convolution kernels with different scales are cascaded to widen the network, which can effectively avoid feature loss. Finally, experiments are carried out on the proposed method. Compared with the existing mainstream classification networks, the proposed method can improve the classification performance, and finally achieve accurate classification of liver tumors. The effectiveness of the proposed method is further verified by ablation experiments.Highlights

The multi-scale feature extraction module is introduced to extract multi-scale features of images, it can extract deep context information of the lesion region and surrounding tissues to enhance the feature extraction ability of the network.

The depth feature extraction module is used to focus on the local features of the lesion region from both channel and space, weaken the influence of irrelevant information, and strengthen the recognition ability of the lesion region.

The feature extraction module is enhanced by the parallel structure of dense dilated convolution, and the deeper feature information is obtained without losing the image feature information to improve the classification accuracy.
Low awareness of community-dwelling older adults on the importance of dietary protein: new insights from four qualitative studies
Authors: Linschooten Joost O. , Verwijs Marije H. , Beelen Janne , de van der Schueren Marian A. E. , Roodenburg Annet J. C. 
Published: December 2021

Abstract
Meeting the recommended daily protein intake can be a challenge for community-dwelling older adults (CDOA). In order to understand why, we studied attitudes towards protein-rich products and healthy eating in general; identified needs and preferences, barriers and promotors and knowledge regarding dietary behaviour and implementation of high protein products. Attitudes towards protein-rich products and healthy eating were evaluated in focus groups (study 1, n 17). To gain insights in the needs and preferences of older adults with regard to meals and meal products (study 2, n 30), visual information on eating behaviour was assessed using photovoicing and verified in post-photovoice interviews. In studies 3 and 4, semi-structured interviews were conducted to identify protein consumption-related barriers, opportunities (n 20) and knowledge and communication channels (n 40), respectively. Risk of low protein intake was assessed using ProteinScreener55+ (Pro55+) in studies 2–4 (n 90). Focus groups showed that participants were unaware of potential inadequate dietary protein. Photovoicing showed that sixteen of thirty participants mainly consumed traditional Dutch products. In post-photovoice interviews, participants indicated that they were satisfied with their current eating behaviour. Barriers for adequate use of protein-rich products were ‘lack of knowledge’, ‘resistance to change habits’ and ‘no urge to receive dietary advice’. Promotors were ‘trust in professionals’ and ‘product offers’. Sixty-two percent had a low risk of low protein intake. CDOA feel low urgency to increase protein intake, possibly linked to low knowledge levels. A challenge for professionals would be to motivate older adults to change their eating pattern, to optimise protein intake.
Exact solutions and critical behaviour for a linear growth-diffusion equation on a time-dependent domain
Authors: Allwright Jane 
Published: December 2021

AbstractA linear growth-diffusion equation is studied in a time-dependent interval whose location and length both vary. We prove conditions on the boundary motion for which the solution can be found in exact form and derive the explicit expression in each case. Next, we prove the precise behaviour near the boundary in a ‘critical’ case: when the endpoints of the interval move in such a way that near the boundary there is neither exponential growth nor decay, but the solution behaves like a power law with respect to time. The proof uses a subsolution based on the Airy function with argument depending on both space and time. Interesting links are observed between this result and Bramson's logarithmic term in the nonlinear FKPP equation on the real line. Each of the main theorems is extended to higher dimensions, with a corresponding result on a ball with a time-dependent radius.