bluuebunny/crossref_metadata_2025_split huggingface dataset:
VAST: a practical validation framework for e-assessment solutions
Authors: van Haastrecht Max , Brinkhuis Matthieu , Wools Saskia , Spruit Marco 
Published: July 2023

AbstractThe influx of technology in education has made it increasingly difficult to assess the validity of educational assessments. The field of information systems often ignores the social dimension during validation, whereas educational research neglects the technical dimensions of designed instruments. The inseparability of social and technical elements forms the bedrock of socio-technical systems. Therefore, the current lack of validation approaches that address both dimensions is a significant gap. We address this gap by introducing VAST: a validation framework for e-assessment solutions. Examples of such solutions are technology-enhanced learning systems and e-health applications. Using multi-grounded action research as our methodology, we investigate how we can synthesise existing knowledge from information systems and educational measurement to construct our validation framework. We develop an extensive user guideline complementing our framework and find through expert interviews that VAST facilitates a comprehensive, practical approach to validating e-assessment solutions.
Factors Influencing Conventional Hazelnut Farmers to Transition to Organic Production: The Case of Türkiye
Authors: Meral Hüseyin , Millan Elena 
Published: July 2023

AbstractThis study examined the willingness of conventional hazelnut farmers to transition to organic hazelnut production and identified key factors for stimulating such a shift. Face-to-face interviews based on a structured questionnaire were conducted with Turkish farmers who use conventional methods of hazelnut production. A total of 120 interviews were conducted and subjected to data analysis. Logit analysis revealed that the farmers’ decision to transition to organic farming is significantly influenced by several demographic factors (including farmer’s experience, available family labour, available land for organic farming and sufficiency of tools and equipment) and attitudinal predispositions (holding a positive attitude towards organic agriculture). Findings suggest the need for policy actions to support a more willing acceptance of organic farming practices among conventional hazelnut growers, with anticipated positive effects on both the environment and consumer demand.
A four-echelon supply chain inventory model for growing items with imperfect quality and errors in quality inspection
Authors: Sebatjane Makoena , Adetunji Olufemi 
Published: July 2023

AbstractTo safeguard the livelihood of consumers, food producers are required, either by law or regulatory bodies, to inspect their products for quality before selling the products to consumers. This is because food processing, as is the case with most production systems, is not perfect and there is a possibility that some of the processed products do not meet the required quality standard. Likewise, the inspection process is seldom perfect, meaning that it is subject to errors and thus, some of the processed products might be incorrectly classified. In light of this, an inventory model for a four-echelon food processing supply chain is developed. The supply chain has a farming echelon where live items are grown with the possibility that some of them might not survive; a processing echelon where the live items are transformed into processed inventory; an inspection echelon where the processed inventory is classified into good and poorer quality classes under the assumption that the inspection process is subject to type I and type II errors; and a retail echelon where the processed inventory of good quality is sold to consumers. The supply chain is modelled as a profit maximisation problem and a solution procedure for solving the model is proposed. The problem is studied under both centralised and decentralised supply chain structures and from the analysis, the centralised supply chain with a profit-sharing agreement performs better in terms of profit maximisation.
Dynamics of granular debris flows against slit dams based on the CFD–DEM method: effect of grain size distribution and ambient environments
Authors: Mao Wuwei , Wang Yuhan , Yang Ping , Huang Yu , Zheng Hu 
Published: July 2023

AbstractEarth surface flows in nature, like debris flows and rock avalanches, have threatened people’s safety and infrastructure during past decades. Though grain size distribution (GSD) has been acknowledged as a crucial characteristic in granular material behaviour, its coupled effects associated with environments on engineering structures such as the slit dam remain unclear. To bridge the gap, this paper reveals the coupled effect of the GSD and ambient environments (i.e. slope angles and saturation conditions) on avalanche/debris flows’ impact on the slit dam using a Computational Fluid Dynamics/Discrete Element Method (CFD–DEM) model. To describe strain-dependent rheological characteristics of debris fluids, the Herschel–Bulkley–Papanastasiou model is implemented in the finite volume method framework. A power grain size distribution law is considered to quantify GSDs, in which a fractal parameter takes charge of GSD types. After model verification with experimental/theoretical results, the impact force against slit dams, granular dynamics and final deposit patterns under a series of ambient circumstances are presented. Taking advantage of the CFD–DEM method, the impact force and kinetic energy induced by fluid and solid phases are discriminated. The contribution of solid and fluid phases to both impact force and dynamics appears to be dependent on GSDs. Accordingly, compared with saturated avalanche flows (i.e. debris flows), slit dams result in higher retaining efficiency when confronted with dry avalanche flows. Regarding a narrow diameter range used in analyses, the grain diameter ratio is then enlarged up to eight to reveal the potential size effect. As for the coupled role of GSDs and slope angles, in contrast to slope angles, the influence of GSD on avalanche flow interaction with slit dams is much smaller. Additionally, provided a narrow diameter range, the effect of GSDs on impact force can be partially attributed to the change in average grain diameter. After presenting the significance of ambience and GSDs to avalanche/debris flows, a series of parametric studies around the effect of fluid grid size, particle shape and the initial porosity of granular samples are discussed, aiming to advance the understanding of their influence in the interactions between debris flows and the slit dam.
Crack mode-changing stress level in porous rocks under polyaxial stress conditions
Authors: Mutaz E. , Serati M. , Williams D. J. 
Published: July 2023

AbstractAs the global push towards clean energy intensifies, the demand for critical minerals has driven deep excavation in hard rock formations, posing significant challenges related to rockburst and spalling. Spalling refers to explosion-like rock fractures under high geo-stresses. Despite several successful studies and practical models, the mechanisms governing spalling propagation under polyaxial stress states remain inadequately understood, particularly in weaker and high-porosity rocks. This study introduces a novel Crack Mode-Changing Stress (CMCS) concept, which defines the minimum principal stress required to change the crack mode from shear to tensile failures when rock spalls. The concept was validated using cubed sandstone samples containing centric circular holes subjected to a range of loading conditions including uniaxial, biaxial, generalized triaxial compression, generalized triaxial tensile, and true triaxial loading stress states. Our results highlight the significance of the out-of-plane minor principal stress on the crack initiation threshold and the CMCS, emphasizing the need for careful consideration when designing openings in highly stressed environments.
Acupuncture for Low Back Pain: Reevaluation of Systematic Reviews and Meta-analyses
Authors: Yan Wen-xi , Lin Hui-ze , Wang Xiang , Zhang Wei , Liu Lan-ping , Yu Jin-na , Yang Tao 
Published: July 2023

Abstract
Purpose of Review
This overview aims to reevaluate the methodological quality, report quality, and evidence quality of systematic reviews (SRs)/meta-analyses (MAs) of acupuncture for low back pain to determine whether acupuncture effectively treats low back pain (LBP).

Recent Findings
Twenty-three SRs/MAs were deemed eligible for the present overview. The AMSTAR 2 score showed that the methodological quality of one SR/MA was of medium quality, one was of low quality, and 21 were of critically low quality. Based on the results of the PRISMA evaluation, there are certain areas for improvement in the quality of reporting of SRs/MAs. There were some reporting flaws in the topic of search strategy (8/23, 34.78%), certainty assessment (4/23, 17.39%), the certainty of evidence (4/23, 17.39%), registration and protocol (3/23, 13.04%), and availability of data, code, and other material (1/23, 4.35%). Results from the GRADE evaluation indicated that 13 of 255 outcomes were rated as moderate, 88 were low, and 154 were very low.

Summary
Acupuncture effectively treated LBP in the SRs/MAs included in the reevaluation. However, the methodological, report, and evidence-based quality of the SRs/MAs on acupuncture for LBP was low. Therefore, further rigorous and comprehensive studies are warranted to improve the quality of SRs/MAs in this field.
Solution Sets for Young Differential Inclusions
Authors: Michta Mariusz , Motyl Jerzy 
Published: July 2023

AbstractThe paper deals with some properties of solutions of differential inclusions driven by set-valued integrals of a Young type. The existence of solutions, boundedness, closedness of the set of solutions and continuous dependence type results are considered. These inclusions contain as a particular case set-valued stochastic inclusions with respect to a fractional Brownian motion (fBm), and therefore, their properties are crucial for investigation the properties of solutions of fBm stochastic differential inclusions.
Absence of evidence or evidence of absence? The microarchaeology of an ‘empty’ square enclosure of the Late Iron Age La Tène Culture
Authors: Cereda Susanna , Mayrhofer Maria , Saliari Konstantina , Zerobin Bianca , Trebsche Peter 
Published: July 2023

AbstractArchaeological features without macro-finds (i.e. finds visible with the naked eye) represent a common phenomenon that poses considerable methodological problems in interpretation. To tackle these problems, we present an approach based on integrating micro-archaeological methods and macro-observations to help elucidate ‘invisible’ activities or at least to exclude certain others. Specifically, we combine micromorphological and micro-debris analyses with the scarce macro-finds and their fragmentation degree to clarify whether the lack of evidence for certain activities really reflects their absence or merely bad preservation conditions. This study focuses on a Late Iron Age ‘empty’ enclosure excavated in the settlement site of Haselbach, Lower Austria. ‘Empty’ square enclosures of the La Tène Culture have been controversially interpreted as either sanctuaries, domestic buildings or burial enclosures, although these interpretations were rarely supported by any material evidence. Using a multi-proxy approach enables us to reconstruct the formation processes of the Haselbach feature as well as to rule out a range of activities, although a clear definition of its primary function was not reached. Based on our case study, we propose a research protocol that can be applied to research on similar ‘empty’ features in order to better validate their functional interpretations.
Adoption and impact of improved amaranth cultivars in Tanzania using DNA fingerprinting
Authors: Wanyama Rosina , Schreinemachers Pepijn , Ochieng’ Justus , Bwambo Omary , Alphonce Roselyne , Dinssa Fekadu Fufa , Lin Ya-ping , Schafleitner Roland 
Published: July 2023

Abstract
Traditional vegetables are very important for food and nutrition security in sub-Saharan Africa but have not received much attention in crop improvement research. One exception is amaranth (Amaranthus spp.) for which international breeding research began at the World Vegetable Center in Tanzania in 2004. This study is the first impact evaluation of this research program. It uses a representative sample of 1,355 amaranth-producing households from five agroecological zones of Tanzania to collect questionnaire-based data and plant material. The genetic identity of the amaranth cultivars used by the farmers was identified using DNA fingerprinting, while the impact on crop yield, production cost and sales was quantified using propensity score matching. The analysis shows that 66% of Tanzania’s cultivated area under amaranth uses cultivars derived from the amaranth breeding program. These cultivars had a mean vegetable yield that was 6.1 ton/ha higher (+ 48%; p = 0.002) than that of other cultivars, while there was no significant impact on the cost of production or quantity sold. This suggests tremendous impact of genetic improvement research in traditional vegetables.
Error analysis of laser interferometric system for measuring radius of curvature
Authors: Ali Ahmed , Amer Mohamed , Nada Nadra 
Published: July 2023

AbstractSpherical surfaces are essential components of optical systems and imaging devices. Moreover, precision spheres are calibration standards for many accurate instruments in dimensional and mass metrology. A spherical surface's main property is its radius of curvature, which can be measured using contact or non-contact methods. Interferometry is an accurate non-contact technique, but some error sources impact it. This study investigates seventeen error sources that affect a laser interferometric system for measuring the radius of curvature of a precision sphere. The measurements are obtained using a Fizeau laser interferometer (GPI-XP, Zygo) with phase-shifting capability and a displacement measuring interferometer (ZMI-1000, Zygo). A silicon–nitride precision sphere with a nominal radius of 12.49965 mm is dealt with in this study. One of the main contributions of this study is proposing three additional error sources: focal shift, optical distortion, and y-axis vibration. Besides, deadpath, nulling, and focal shift error sources contributed 70% of the total uncertainty budget. Also, to correlate measurement accuracy with the reference surface, three transmission spheres (f/3.3, f/1.5, and f/0.65) are employed; f/0.65 reported the most accurate radius measurement of 12.49922 ± 0.00089 mm. This study also investigates the dependence of the nulling error on the coverage factor that defines the tested surface area. The analysis of the measurement uncertainty and the optimum conditions that minimize the system's potential error sources are described in this work.
A pan-cancer analysis for the oncogenic role of cyclin-dependent kinase inhibitor 1B in human cancers
Authors: Huang Hao , Qiu Duoliang , Zhou Zhengyang , Wu Biaobiao , Shao Lening , Pu Yuwei , He Tengfei , Wu Yongyou , Cui Dawei , Zhong Fengyun 
Published: July 2023

Abstract
Background
Human health and life are threatened by cancer with high morbidity and mortality worldwide. In many experiments, CDKN1B level is associated with cancer risk, Nevertheless, no pan-cancer analysis has been conducted on CDKN1B in human cancers.

Methods
With the help of bioinformatics, a pan-cancer analysis was conducted on the expression levels of CDKN1B in cancer tissues and adjacent tissues from the TCGA, CPTAC and GEO databases. The CDKN1B expression levels in tumor patients was further validated using immunohistochemistry (IHC) and quantitative real-time PCR.

Results
In the study, we first investigated the cancer-related roles of CDKN1B’s in 40 tumors with malignancy. The CDKN1B gene encodes the p27Kip1 protein, which can block the production cyclin-dependent kinase (CDK), which is obviously related to the function and survival of cancer cells and alters the prognosis of cancer patients. Furthermore, CDKN1B function requires both protein processing and RNA metabolism. Additionally, the elevated expression of the CDKN1B gene and protein was validated in several cancer tissues from the patients.

Conclusions
These results showed that the levels of CDKN1B were considerably different in a number of cancer tissues, offering a potential future target for cancer therapy.
„… und dann sagten sie plötzlich Frau Lehrerin zu mir!“ Die Sommerschule als Lernfeld für Lehramtsstudierende
Authors: Lenz Sonja , Gamsjäger Manuela , Severa Margit , Kladnik Christine , Prammer Semmler Eva , Plaimauer Christine 
Published: July 2023

ZusammenfassungAls Maßnahme zur Kompensation schulischer Defizite, die durch Covid-19 entstanden sind, wurden 2020 in Österreich für betroffene Schüler*innen Sommerschulen eingerichtet. Darin übernehmen Lehramtsstudierende für zwei Wochen erstmals, größtenteils ohne Unterstützung, die Verantwortung für den Unterricht einer heterogenen Lerngruppe und stehen damit vor den komplexen Aufgaben von Berufseinsteiger*innen. Bislang liegen über die Bedeutung dieses neuen Lernfelds für die Professionalisierung der Studierenden keine Erkenntnisse vor. Dieses Desiderat aufgreifend analysiert die vorliegende Studie deskriptiv entlang der vier beruflichen Entwicklungsfelder für Berufseinsteiger*innen (Keller-Schneider 2021), welche Lerngelegenheiten sich für Studierende im Lernfeld Sommerschule am Standort Linz, Cluster Mitte als subjektiv bedeutsam erweisen und inwieweit diese von ihnen im Sinne einer Professionalisierung als Entwicklungsaufgaben bearbeitet werden. Dazu werden Daten aus Gruppendiskussionen und schriftlichen Reflexionen von Studierenden der Primar- und Sekundarstufe, die im Rahmen der begleitenden Lehrveranstaltung zur Sommerschule entstanden sind, für eine Sekundäranalyse aufbereitet und mittels qualitativer Inhaltsanalyse ausgewertet. Die Ergebnisse der explorativen Studie zeigen, dass Studierende in allen vier Entwicklungsfeldern für sich bedeutsame Lerngelegenheiten identifizieren, diese jedoch nicht immer im Sinne von Entwicklungsaufgaben bearbeiten und reflektieren. Basierend auf den Ergebnissen werden im Fazit Implikationen abgeleitet, wie die Sommerschule als Lernfeld für die (Weiter‑)Entwicklung der Professionalität der Studierenden genutzt werden kann.
Religion gegen Angst und Wut? Evangelische Religiosität und Politikvertrauen in Deutschland
Authors: Roleder Felix 
Published: July 2023

ZusammenfassungDer Beitrag analysiert die mehrdimensionalen Wirkungen evangelischer Religiosität auf das Politikvertrauen in Deutschland auf empirisch-quantitativer Grundlage. Die Untersuchung entwirft grundsätzliche Perspektiven zu den erklärenden Mikroprozessen im Zusammenspiel von religiöser Emotionalität, Weltdeutung und Vergemeinschaftung. Eine religiöse Emotionalität der verminderten Empfindung von negativen Emotionen, die in religiösen Überzeugungen und Praktiken der Situationsdeutung und der Emotionsregulation wurzelt, unterstützt das Politikvertrauen. Denn die emotionsbezogene Kontingenzbewältigung verbessert die empfundene Leistung der politischen Institutionen und ihrer Akteur:innen. Ein inklusiver Stil evangelischer Weltdeutung versteht die Gesellschaft als Ort des Engagements und der Kooperation, stärkt das Sozialvertrauen und fördert so indirekt das Politikvertrauen. Ein exklusiver Stil evangelikal-freikirchlicher Weltdeutung akzentuiert die Kooperation innerhalb der religiösen Gruppe, aber hemmt das generalisierte Sozial- und Politikvertrauen. Evangelische Gottesdienste politisieren, ohne das Vertrauen in das politische System zu stärken. Die in ihrer mehrheitlichen Ausprägung positiven Wirkungen evangelischer Religiosität auf das Politikvertrauen werden als erklärender Faktor für den positiven Zusammenhang zwischen christlicher Religiosität, Demokratieunterstützung und Populismusprävention eingeführt.
Extend Tversky’s Ratio Model to an Asymmetric Similarity Measurement Model with Three Conditional Parameters: 3p-ASM Model
Authors: He Wen , Dutta Bapi , Liu Yaya , Rodríguez Rosa M. 
Published: July 2023

AbstractGenerally, the similarity between objects is often measured by symmetric operators, such as Cosine, Dice, and Jaccard similarity. However, the ratio model originally proposed by Tversky pointed out that the similarity using the feature matching method tends to be asymmetric. Furthermore, in many practical situations, the existing similarity measures using the feature matching method have some limitations: the calculation formulas are symmetrical, it is not intuitive based on binary features, and it is not easy to calculate based on fuzzy sets. To overcome such limitations, some other asymmetries have proposed to directly combine Tversky’s ratio model with the classical symmetric similarity metric, which in turn leads to the inability to identify different features between the compared objects and affects their similarity accuracy. Therefore, aiming to avoid these, this paper will focus on extending Tversky’s ratio model to a series of 3-parameter asymmetric similarity metrics (3p-ASM), using three conditional parameters to describe both common and different features. First, the set-based 3p-ASM is achieved due to the general and fuzzy set-theoretic operations, when estimating features in$$\left\{ 0,1\right\} $$0,1and$$\left[ 0,1\right] $$0,1, respectively. Then, considering that the estimated values of features can also be expressed as vectors, it will be extended to the vector-based 3p-ASM. Finally, a vector form of 3p-ASM is compared with existing classical methods and a comparative analysis is performed to demonstrate its effectiveness and validity. It is then applied to the KNN model in order to select the most similar items.
Smart textiles for self-powered biomonitoring
Authors: Yin Junyi , Wang Shaolei , Di Carlo Aiden , Chang Austin , Wan Xiao , Xu Jing , Xiao Xiao , Chen Jun 
Published: July 2023

AbstractMerging electronics with textiles has become an emerging trend since textiles hold magnificent wearing comfort and user-friendliness compared with conventional wearable bioelectronics. Smart textiles can be effectively integrated into our daily wearing to convert on-body biomechanical, biochemical, and body heat energy into electrical signals for long-term, real-time monitoring of physiological states, showing compelling medical and economic benefits. This review summarizes the current progress in self-powered biomonitoring textiles along three pathways: biomechanical, body heat, and biochemical energy conversion. Finally, it also presents promising directions and challenges in the field, as well as insights into future development. This review aims to highlight the frontiers of smart textiles for self-powered biomonitoring, which could contribute to revolutionizing our traditional healthcare into a personalized model.
Graphical Abstract

Self-powered biomonitoring textiles via biomechanical, body heat, and biochemical energy conversion are discussed in this work. Platform technologies, including piezoelectric nanogenerators (PENGs), triboelectric nanogenerators (TENGs), and magnetoelastic generators (MEGs) for biomechanical energy conversion, thermoelectric generators (TEGs) for boy heat energy conversion, and biofuel cells (BFCs) for biochemical energy conversion, are systematically introduced and discussed in a textile form. Working in a self-powered manner with greatly improved wearing comfort, the smart biomonitoring textiles pave a compelling road to personalized healthcare.