bluuebunny/crossref_metadata_2025_split huggingface dataset:
Attachment- and Emotion-Focused Parenting Interventions for Child and Adolescent Externalizing and Internalizing Behaviors: A Meta-Analysis
Authors: Jugovac Samantha , O’Kearney Richard , Hawes David J. , Pasalich Dave S. 
Published: June 2022

AbstractAttachment- and emotion-focused parenting interventions (AE) have grown in popularity as an alternative to behavioral parent training (BPT) for children and adolescents. AE go beneath behavior by helping parents understand and respond to their child’s underlying attachment and emotional needs. Past reviews have examined their effects on attachment security and caregiver sensitivity, though less is known regarding their effects on child mental health symptoms. Reported here is the first systematic review and meta-analysis of individual and group AE on externalizing behavior (EXT) and internalizing behavior (INT) for children aged 0–18 years. A search of four databases prior to July 2021 elicited 43 studies that met eligibility criteria. Meta-analysis revealed that AE were superior to waitlist controls for EXT (SMD = − 0.17) and INT (SMD = − 0.34). Effects were sustained at follow-up periods of 6 months and greater, and AE considered to target child mental health were significantly more effective than those that did not in reducing EXT and INT. Two studies retrieved directly compared AE to BPT, which showed no evidence of a difference for follow-up measures of EXT. No studies compared AE to BPT on INT. AE demonstrated no evidence of superiority compared to controls for parent mental health. Findings support the potential for AE to reduce EXT and INT in children and adolescents; however, future research should consider the relative effectiveness of AE.
Predicting Recidivism Risk Meets AI Act
Authors: van Dijck Gijs 
Published: June 2022

Abstract
Quantitative recidivism risk assessment can be used at the pretrial detention, trial, sentencing, and / or parole stage in the justice system. It has been criticized for what is measured, whether the predictions are more accurate than those made by humans, whether it creates or increases inequality and discrimination, and whether it compromises or violates other aspects of fairness. This criticism becomes even more topical with the arrival of the Artificial Intelligence (AI) Act. This article identifies and applies the relevant rules of the proposed AI Act in relation to quantitative recidivism risk assessment. It does so by focusing on the proposed rules for the quality of the data and the models used, on biases, and on the human oversight. It is concluded that legislation may consider requiring providers of high-risk AI systems to demonstrate that their solution performs significantly better than risk assessments based on simple models, and better than human assessment. Furthermore, there is no single answer to evaluate the performance of quantitative recidivism risk assessment tools that are or may be deployed in practice. Finally, three approaches of human oversight are discussed to correct for the negative effects of quantitative risk assessment: the optional, benchmark, and feedback approach.
Valuable unintended learning outcomes when practicum for student teachers in kindergartens is carried out online
Authors: Madsen Siri Sollied , Habbestad Helge , Borch Iris H. 
Published: June 2022

AbstractThis article presents a study of an educational experiment conducted at the early childhood education programme at UiT, the Arctic University of Norway. As COVID-19 made social distancing an issue, the traditional practicum in kindergartens was moved to online platforms. Constructive alignment was used as an analytical framework to investigate the possibilities and limitations of student teachers’ learning outcomes in a collaborative online learning activity. Overall, 8 out of 9 practicum teachers found the online practicum form a better alternative than supplying the student teacher with a written assignment, and 72.7% of the student teachers agreed or somewhat agreed with facilitating learning outcomes from the online practicum regardless of social distancing. The need for professional digital competence is central, as digital technology is not simply part of pedagogical practices but is becoming an integrated part of communicating and collaborating with colleagues and parents. This study broadens the understanding of how collaborative online learning can facilitate unintended valuable learning outcomes and critically debates the limitations related to emphasising a too-strong focus on intended learning outcomes as a premise for constructive alignment in education.
Robust reputation independence in ranking systems for multiple sensitive attributes
Authors: Ramos Guilherme , Boratto Ludovico , Marras Mirko 
Published: June 2022

AbstractRanking systems have an unprecedented influence on how and what information people access, and their impact on our society is being analyzed from different perspectives, such as users’ discrimination. A notable example is represented by reputation-based ranking systems, a class of systems that rely on users’ reputation to generate a non-personalized item-ranking, proved to be biased against certain demographic classes. To safeguard that a given sensitive user’s attribute does not systematically affect the reputation of that user, prior work has operationalized a reputation independence constraint on this class of systems. In this paper, we uncover that guaranteeing reputation independence for a single sensitive attribute is not enough. When mitigating biases based on one sensitive attribute (e.g., gender), the final ranking might still be biased against certain demographic groups formed based on another attribute (e.g., age). Hence, we propose a novel approach to introduce reputation independence for multiple sensitive attributes simultaneously. We then analyze the extent to which our approach impacts on discrimination and other important properties of the ranking system, such as its quality and robustness against attacks. Experiments on two real-world datasets show that our approach leads to less biased rankings with respect to multiple users’ sensitive attributes, without affecting the system’s quality and robustness.
Market interaction structure and equilibrium price heterogeneity in monopolistic competition
Authors: Sebestyén Tamás , Szabó Balázs 
Published: June 2022

AbstractThis paper investigates the extent to which the structure of the interaction network between suppliers and buyers affects equilibrium price heterogeneity. An incomplete interaction structure leads to uneven information flows and different information bases for consumers which is then taken into account by price setting producers. This results in heterogenous prices even if producers are identical in all other respects. The complete interaction network serves as a special case resembling standard monopolistic competition models. We show that a slight deviation from the complete network results in heterogeneous prices, although this heterogeneity becomes economically significant only under sparse or small networks. Sparsity as the main determinant of price heterogeneity dominates network asymmetry: relatively dense networks show minimal price dispersion even if its degree distribution follows a power law.
Self-tracking, background(s) and hermeneutics. A qualitative approach to quantification and datafication of activity
Authors: Juchniewicz Natalia , Wieczorek Michał 
Published: June 2022

AbstractIn this article, we address the case of self-tracking as a practice in which two meaningful backgrounds (physical world and technological infrastructure) play an important role as the spatial dimension of human practices. Using a (post)phenomenological approach, we show how quantification multiplies backgrounds, while at the same time generating data about the user. As a result, we can no longer speak of a unified background of human activity, but of multiple dimensions of this background, which, additionally, is perceived as having no pivotal role in the process, often being hidden, situated beyond human consciousness, or taken for granted. Consequently, the phenomenological experience of the background turns into a hermeneutic practice focused on the interpretation of representations and descriptions. By adopting a (post)phenomenological approach, we show the problems and limitations of quantification of human activities occurring in self-tracking and the theoretical problems associated with the scheme of human-technology relations.
Technocratic Decision-Making in Times of Crisis? The Use of Data for Scientific Policy Advice in Germany’s COVID-19 Management
Authors: Kuhlmann Sabine , Franzke Jochen , Dumas Benoît Paul 
Published: June 2022

AbstractCOVID-19 has demonstrated the importance of data for scientific policy advice. Mechanisms by which data is generated, shared, and ultimately lead to policy responses are crucial for enhancing transparency and legitimacy of decisions. At the same time, the volume, complexity and volatility of data are growing. Against this background, mechanisms, actors, and problems of data-driven scientific policy advice are analysed. The study reveals role conflicts, ambiguities, and tensions in the interaction between scientific advisors and policy-makers. The assumption of a technocratic model, promoted by well-established structures and functioning processes of data-driven government, cannot be confirmed. Reality largely corresponds to the pragmatic model, in parts also the decisionist model, albeit with dysfunctional characteristics.
Judicial and Litigant Perceptions in Dutch Court Cases: Perceptions of Outcome Importance Overlap, Perceptions of Procedural Justice Diverge
Authors: Grootelaar Hilke A. M. , van den Bos Kees , Ybema Jan Fekke , Ansems Lisa F. M. 
Published: June 2022

AbstractThe current paper aims to provide insight into judges’ perceptions of how fairly they treat litigants and how important case outcomes are to litigants, and whether these perceptions relate to litigants' perceptions of procedural justice and outcome importance. Respondents were litigants involved in bankruptcy, landlord-tenant, and administrative law cases and judges handling these cases at the district court of the Mid-Netherlands. Both litigants and judges indicated outcome importance and procedural justice. Litigants also indicated their trust in judges. Multilevel analyses using hierarchical regression showed a positive association between judicial and litigant perceptions of outcome importance and no significant association between judges' and litigants’ perceptions of procedural justice. This indicates that whereas judges and litigants largely agreed on how important case outcomes were, their views about how fairly judges handled cases diverged. These insights enhance our understanding of linkages and discrepancies between judges' and litigants' views on important aspects of the legal system.
Collaborative analytics-supported reflective Assessment for Scaffolding Pre-service Teachers’ collaborative Inquiry and Knowledge Building
Authors: Yang Yuqin , Zhu Gaoxia , Sun Daner , Chan Carol K. K. 
Published: June 2022

AbstractHelping pre-service teachers (PSTs) develop competencies in collaborative inquiry and knowledge building is crucial, but this subject remains largely unexplored in CSCL. This study examines the design and process of collaborative analytics-supported reflective assessment and its effects on promoting PSTs to develop their competencies in collaborative inquiry and knowledge building. We used a quasi-experimental design that lasted 18 weeks. The experimental group was a class of 40 PSTs who took a liberal studies course with a knowledge building design enhanced by collaborative analytics-supported reflective assessment. The comparison group was a class of 28 PSTs taught by the same instructor who studied the same inquiry topics but experienced a regular knowledge building environment using portfolios. The analysis of the PSTs’ Knowledge Forum discourse showed that collaborative analytics-supported reflective assessment helps PSTs develop collaborative inquiry competencies for community knowledge advancement. The analysis of the PSTs’ reflection using collaborative analytics and prompt questions showed that the design using KBDeX visualization and knowledge building rubrics helped them engage in productive collaborative knowledge building inquiry by involving them in continuous monitoring, analysis, negotiation, synthesis of inquiry, identification of promising routes for inquiry, and actions to guide further collective inquiry. Implications for designing CSCL collaborative-analytics enriched with reflective assessment and student agency, and broadening CSCL and knowledge building approaches to pre-service teacher education are discussed.
The usefulness of vertebral needle targeting simulation training system using ray-summation imaging: experimental study
Authors: Uchiyama Fumiya , Noguchi Tomoyuki , Kamei Shunsuke , Yamashita Koji , Shida Yoshitaka , Okafuji Takashi , Kamei Ryotaro , Tajima Tsuyoshi 
Published: June 2022

Abstract
Purpose
Using the multi-detector computed tomography and related three-dimensional imaging technology, we developed a vertebral needle targeting simulation training system named spinal needling intervention practice using ray-summation imaging (SNIPURS). Herein, we assessed the utility of SNIPURS by evaluating changes in the learning curves of SNIPURS trainees.

Methods
Twenty-one examinees were enrolled: seven experienced operators (expert group), seven trainees with coaching (coaching group), and seven trainees without coaching (non-coaching group). They performed six tests of vertebral needle targeting simulation on the workstation-generated spinal ray-summation images of six patients with vertebral fractures. In each test, they determined the bilateral trans-pedicular puncture points and angles on two thoracic and two lumbar vertebrae on ray-summation imaging (i.e., 8 simulations per test). The coaching group received coaching by a trainer after Tests 1 and 4, while the others did not. Scores were given based on the trans-pedicular pathway (1 point) or not (0 point). Eight virtual needles were evaluated in each of Tests 1–6.

Results
Among the three groups, the expert group had the highest average scores on Tests 1–4 (expert: 3.86, 6.57, 7.43, and 7.57; coaching: 1.86, 6.14, 6, and 6.29; and non-coaching: 1.14, 4.14, 4.71, and 4.86). The coaching group’s scores caught up with the expert groups’ average scores on Tests 5 and 6, whereas those of the non-coaching group did not (expert and coaching: 7.86 and 8.00, non-coaching: 5.86 and 7.14). All examinees in the expert and coaching groups achieved a perfect score on the final Test 6, whereas three of the seven non-coaching trainees did not.

Conclusion
SNIPURS might be suitable for vertebral needle targeting training. The coaching provided during SNIPURS training helped the trainees to acquire the spinal puncture techniques in PVP.
Crystallographic Controls on Staurolite to Fibrolite Transformation: Petrographic Evidence from the Pangong Metamorphic Complex in Eastern Karakoram, Ladakh, India
Authors: Sharma Jeev Jatan , Pant Naresh Chandra , Singh Preeti , Saikia Ashima 
Published: June 2022

Abstract
Incomplete discontinuous reactions in metamorphic rocks provide good opportunities to investigate reaction kinetics in natural samples. This contribution discusses crystallographic controls of reacting phases on solid-state metamorphic reactions involving staurolite to fibrolite transformation in metapelites from the Pangong metamorphic complex, Ladakh. The understanding of mineral kinetics is fundamental for assessing the extent to which equilibrium is attained in metamorphic systems and constrains the disequilibrium processes in rocks. In the present study, the periodic bond chain theory is used to explain lower reaction rates on the faces parallel to the trace of c-axis (hk0) than the faces across the trace of c-axis (hkl≠0) of staurolite.
Assessment of Seismic Vulnerability using the Ambient Noise Recordings in Cachar Fold Belt, Assam
Authors: Kuldeep  , Shekar Bharath , Mohan Gollapally , Singh Sunil Kumar 
Published: June 2022

Abstract
Northeast India is a seismically active region, with frequent major earthquakes. The impact of seismicity can be assessed by using the values fundamental resonant frequency (F0) and the site amplification factor (A0) to derive the seismic vulnerability index (Kg). In 2011, a network of 65 stations was installed in the Cachar fold belt,Assam to continuously record data for a continuous period of eleven months. In this study, the horizontal-to-vertical spectral ratio (H/V) method is employed to identify the resonant frequencies and site amplification factors using ambient noise data to assess the seismic hazard potential in the Cachar fold belt. The amplification factors ranged between 1.15 to 6, while the resonance frequencies varied between 0.25 to 5 Hz. The ambient noise interferometry is utilized to estimate surface waves between station pairs and invert the group velocity dispersion curves for the near-surface S-wave velocities. The S-wave velocity for the basement rocks varied between 600 to 1600 m/s. The S-wave velocities are in turn used to derive an empirical relationship between resonant frequency and alluvium thickness valid for the study region. It is found that stations located at regions with subsurface anticlines had a relatively high resonance frequency and low amplification factor, whereas receivers in synclinal locations and with a thick layer of alluvium sedimentary deposits have a substantially higher site amplification factor and lower resonant frequencies. Further, it is observed that regions with a substantial alluvium sediment cover and near the course of the Barak river are more seismically vulnerable and susceptible to natural hazards.
Biodiversity and Ecology of Bryozoans from the Bay of Bengal, East coast of India
Authors: Symphonia Tabita , Nathan Senthil 
Published: June 2022

Abstract
The ecological record of bryozoans from the continental shelf-slope region of the southwestern Bay of Bengal is very sparse, prompting this investigation. Forty-five sea-floor sediment samples were collected along eight transects during the cruise on R/V Sagar Paschimi from the offshore region between Chennai and Cuddalore in the southwestern Bay of Bengal. The distribution of bryozoans was assessed based on the fragments of bryozoan colonies from these samples, which were collected at depths ranging from 6-308m. The goal was to determine the relationship between environmental parameters measured from the study area and the abundances of various bryozoan species. Results revealed the presence of 29 species of recent bryozoans in 24 genera pertaining to eight morphotypes. It is evident from the present investigation that the major control on the spatial distribution of bryozoan colonies is the type of substrate available, as sample sites dominated by coarse sediments showed high species richness though other factors such as ocean dynamics and rate of sedimentation also seem to regulate their abundance.
Integration of Numerical and Empirical Approaches for Assessment of Apt Support Design for Various Underground Openings of Chromite Mine
Authors: Paul Avinash , Prakash Amar , Kumar Niraj , Kumar Pramod , Singh Ashok Kumar 
Published: June 2022

Abstract
The underachievement of support systems in roof bolts layout design is one of the dominant causative factors of roof fall in underground mines. Various factors triggering the roof failure are the presence of laminated roof, the geological plane of weaknesses, the time lag in support installation, inefficient grouting/bonding of roof bolts, improper estimation of roof bolt length, the concentration of the induced stresses due to mining activities, etc. The roof fall concerns mining engineers as it seriously affects safety and productivity. Hence the stability of the openings has to be considered as a priority to suspend the movement of overlying layered strata by application of adequate support. Application of rock mass classification system helps in guiding suitable roof support design for apt stabilization of the mine openings. The study has been carried out to assess the befitting support design of v arious openings in underground chromite mine considering applicable rock mass classification systems namely Bieniawski’s Geomechanical System and Barton’s Q – system inclusive of numerical analysis. The values of rock load obtained by Bieniawski’s geomechanical system was on the higher side. Thus, in view of the safety and stability of engineering structures, Bieniawski’s geomechanical system was considered for the design of a support system. Rock load was determined for different dimensions of underground openings such as decline, cross-cut junctions, cross-cut roadways, ore drive, footwall drive, and haulage junctions, wherein width variation resulted in influencing rock load. Safety factor has also been analysed with respect to the width of the opening to demarcate stable and semi-stable zones.
New Opportunities in Global Ocean Research for Academia and Industry
Authors: Lee Sang-Mook 
Published: June 2022

AbstractSince 2017, requesting ship time has become possible for university researchers and businesses on research vessels. They include Isabu and Onnuri of the Korea Institute of Ocean Science and Technology (KIOST) and the icebreaking research vessel Araon of the Korea Polar Research Institute (KOPRI). There was no regulation barring the chartering of the significant national scientific infrastructure in the first place, but the exorbitant cost of ship time had made their usage virtually impossible. Shared Use Committee (SUC) was set up to handle applications and coordinate the cruises. A modest amount of research funds is also granted. Currently, the KIOST vessels conduct surveys in the Pacific and the central Indian Ocean annually. The KOPRI vessel routinely operates around Antarctica during the austral summer and in the Arctic seas during the boreal summer. Other government-supported institutions are likely to follow this shared used example. Here I provide a brief historical background leading to the shared use of research and information for potential applicants. The description is given from the perspective of geological oceanography, and thus some accounts may differ in other fields of study. A case study is given where a team of international university scientists successfully conducted a joint experiment to investigate the upper mantle structure by deploying ocean bottom instruments and recovering them one year later in the Pacific using Korean research vessels. Finally, some long and short-term recommendations are made to improve the system further.