bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Scanning Tunneling Microscopy and Spectroscopy in the Studies of Colloidal Quantum Qots
Authors: Duan Jiaying , Wang Jiapeng , Hou Liangpeng , Ji Peixuan , Zhang Wusheng , Liu Jin , Zhu Xiaodong , Sun Zhixiang , Ma Yanqing , Ma Lei 
Published: May 2023

AbstractColloidal quantum dots display remarkable optical and electrical characteristics with the potential for extensive applications in contemporary nanotechnology. As an ideal instrument for examining surface topography and local density of states (LDOS) at an atomic scale, scanning tunneling microscopy (STM) and scanning tunneling spectroscopy (STS) has become indispensable approaches to gain better understanding of their physical properties. This article presents a comprehensive review of the research advancements in measuring the electronic orbits and corresponding energy levels of colloidal quantum dots in various systems using STM and STS. The first three sections introduce the basic principles of colloidal quantum dots synthesis and the fundamental methodology of STM research on quantum dots. The fourth section explores the latest progress in the application of STM for colloidal quantum dot studies. Finally, a summary and prospective is presented.
Instructional practices in secondary science: How teachers achieve local and standards‐based success
Authors: Covitt Beth A. , de los Santos Elizabeth Xeng , Lin Qinyun , Morrison Thomas Christie , Anderson Charles W. 
Published: June 2023

AbstractThis article reports on analyses of the instructional practices of six middle‐ and high‐school science teachers in the United States who participated in a research‐practice partnership that aims to support reform science education goals at scale. All six teachers were well qualified, experienced, and locally successful—respected by students, parents, colleagues, and administrators—but they differed in their success in supporting students' three‐dimensional learning. Our goal is to understand how the teachers' instructional practices contributed to their similarities in achieving local success and to differences in enabling students' learning, and to consider the implications of these findings for research‐practice partnerships. Data sources included classroom videos supplemented by interviews with teachers and focus students and examples of student work. We also compared students' learning gains by teacher using pre–post assessments that elicited three‐dimensional performances. Analyses of classroom videos showed how all six teachers achieved local success—they led effectively managed classrooms, covered the curriculum by teaching almost all unit activities, and assessed students' work in fair and efficient ways. There were important differences, however, in how teachers engaged students in science practices. Teachers in classrooms where students achieved lower learning gains followed a pattern of practice we describe as activity‐based teaching, in which students completed investigations and hands‐on activities with few opportunities for sensemaking discussions or three‐dimensional science performances. Teachers whose students achieved higher learning gains combined the social stability characteristic of local classroom success with more demanding instructional practices associated with scientific sensemaking and cognitive apprenticeship. We conclude with a discussion of implications for research‐practice partnerships, highlighting how partnerships need to support all teachers in achieving both local and standards‐based success.
On europium digallides
Authors: Sichevych Olga , Ramlau Reiner , Schmidt Marcus , Schnelle Walter , Grin Yuri 
Published: June 2023

AbstractThe europium gallide Eu1‐xGa2+3x (x is between 0.06 and 0.07) has been synthesized and its crystal structure has been refined from single crystal X‐ray diffraction data. Eu1‐xGa2+3x crystallizes with hexagonal structure related to the AlB2‐type (space group P6/mmm, a=4.354 Å, c=4.485 Å). The structure refinement finished with R(F)=0.015 for 1603 reflections revealing a defect occupation of the Eu position (93 %) and additional Ga position, yielding the non‐integer element ratio. From magnetic susceptibility measurements, EuGa2 and Eu1‐xGa2+3x phases show the 4f 7 (Eu+2) oxidation state. The analysis of effective atomic charges within the Quantum Theory of Atoms in Molecules reveals the formation of four‐bonded Ga species with low electron demand (in comparison to the three‐bonded in AlB2‐type and four‐bonded in the KHg2‐type structures) and shows, that Eu1‐xGa2+3x represents a new way of stabilizing intermetallic structures formed at valence electron concentration, which does not allow to apply Zintl‐like electron counting.
Development of a System for the Evaluation and Recommendation of Solution Methods for Thermally Induced Errors on Machine Tools
Authors: Gißke Carola , Fickert Axel , Wiemer Hajo 
Published: June 2023

AbstractThermally-induced displacements cause large parts of residual machining errors on modern machine tools. Their transient behavior makes it difficult to manufacture with high accuracy. To still increase machining accuracy and to meet the demands of the industry, research offers various solution methods to minimize this error.Within the Collaborative Research Centre Transregio 96 (CRC/TR96), various solutions have been developed that either try to compensate the heat flow in the machine so that large temperature gradients and resulting displacements are avoided or aim to predict the amount and direction of the thermally induced deviation at the TCP.In order to make these solutions comparable, they were first consistently classified and analyzed in terms of their implementation effort and risks. Potential benefits were proved by measurements. The benefits and efforts identified in this way were evaluated with the help of a multi-criteria decision analysis method so that the feasibility and implementation effort of the various solutions can be estimated for manufacturers and users of machine tools.A software-based tool was developed to help interested industrial users to select a suitable process for their individual production scenario from the available processes via an input mask. The tool thus fulfills two aspects. On the one hand, it facilitates the transfer of the developed solutions into industrial applications. On the other hand, it documents the research status of the various solutions, shows potential for improvement, and new methods can be uniformly documented in the future and thus, made comparable.
Smart Pressure Film Sensor for Machine Tool Optimization and Characterization of the Dynamic Pressure Field on Machine Surfaces
Authors: Erben Andreas , Geist Alexander , Voigt Immanuel , Senf Björn , Mäder Thomas , Glänzel Janine , Ihlenfeldt Steffen , Drossel Welf-Guntram 
Published: June 2023

AbstractKnowledge of thermal interactions with the environment is essential for improving the performance of machine tools. Therefore, it is necessary to detect and quantify the convective heat flows at machine tool surfaces, that occur in the workspace as a result of cutting fluid use or outside the machine due to active air flow. Thin-film sensors made of shape memory alloys with integrated small temperature sensors are suitable for detecting very fine pressure differences and can be used to estimate convective heat transfer. By measuring the pressure differences, the dynamic pressure field at the surface can be determined. Since the pressure field correlates with the flow field, conclusions can be drawn about the flow velocity. This leads to more profound and extended possibilities to match flow fields from CFD simulations with measured data. At the same time, the surface temperature is also recorded by this sensor. Reference measurements of the temperature in the free flow are used to characterize the heat transfer. By knowing the pressures, temperatures and the correlating flow velocity near the wall, the heat transfer coefficient can be determined. Against this background, this paper demonstrates the behavior of shape memory alloys as fluid pressure sensors and addresses the development of such sensors for machine tools. For this purpose, sensor units are to be developed that can be placed as a sensor network (composite of several sensors on one surface) inside and outside the workspace.
Thermally Induced Clamping Force Deviations in a Sensory Chuck for Thin-Walled Workpieces
Authors: Denkena Berend , Klemme Heinrich , Wnendt Eike , Meier Matthias 
Published: June 2023

AbstractDeviations between nominal and actual tolerances are a challenging problem during turning processes of thin-walled workpieces. One main cause of these deviations is the clamping force applied by the turning chuck to hold the workpiece. Due to the low stiffness of thin-walled workpieces, large workpiece deformations can occur even when clamping forces are low. For this reason, the clamping force needs to be precisely adjusted. A possible approach are chucks with integrated actuators. As a result of the more direct power transmission, these chucks have a potentially higher clamping force accuracy compared to conventional external actuation. However, integrated actuators are additional heart sources resulting in thermal loads and thermally induced deformations of the chuck components. Due to the resulting mechanical distortion of the chuck system, the precise adjustment of clamping forces is not possible. Thus, this paper evaluates the thermally induced clamping force deviations on a novel turning chuck with four integrated electric drives. A test bench is used to analyse both a single drive and the combination of all four drives regarding the temperature effect on the clamping force adjustability. A clamping force deviation of up to 26% is observed. Based on the measured chuck temperature, a compensation method is introduced leading to a clamping force accuracy of 96.9%.
Simulation of cBN Grain Wear During Single Grain Engagement Considering Cleavage Planes
Authors: Bredthauer Marc , Barth Sebastian , Mattfeld Patrick , Bergs Thomas 
Published: June 2023

AbstractA large part of the energy introduced during grinding is converted into heat. As not all the heat can be dissipated by the cooling lubricant, thermally induced displacements in machine components occur. These displacements have a negative influence on the component quality. Since the grinding wheel topography changes during the grinding process due to wear, the wear mechanisms of grain splintering, grain breakage as well as abrasion were identified and quantified. In addition, their effect on heat generation was investigated. To predict the wear mechanisms, a Finite Element (FE) simulation model was developed that determines the grain shape change considering the cleavage planes in the grain. Three-dimensional real cBN grain geometries were used for the simulation of a single grain engagement in the workpiece of the 100Cr6 steel. In the presented model, the orientation of the cleavage planes is varied and their influence on the wear mechanisms as well as the resulting forces is investigated. In addition, empirical tests were conducted in order to adjust the model. The simulation showed that a cleavage plane variation resulted in stronger crack propagation when the cleavage plane was oriented away from the workpiece and when the distance of the cleavage plane from the point of application of the load was smaller.
Development of a Tool Temperature Simulation During Side Milling
Authors: Helmig Thorsten , Liu Hui , Winter Simon , Bergs Thomas , Kneer Reinhold 
Published: June 2023

AbstractCurrent modeling approaches of cutting processes require on the one hand extensive numerical and analytical simulations and further an experienced user in the field of numerical simulations, which makes a large-scale application time-consuming to apply.Therefore, the goal is to implement existing models into an established side-milling simulation program aiming for a computationally fast and user-friendly simulation approach capable of predicting transient tool temperatures along the cutting edge. Aim of this work is the development of the thermal model, which can later be implemented into existing programs. The model process involves the following two major steps: First, a geometric engagement simulation of the milling process with a parameterizable tool geometry is performed. These results are used to form a database linking the specific cutting force components with the heat flux components. Second, a three-dimensional transient heat conduction model of the cutter is established, applying the calculated heat flux components as boundary conditions in the simulation. Finally, first results of the performed simulation are presented and evaluated, in particular to validate the work flow and user accessibility. Future studies will then focus on further parameter analysis and experimental validation.
Definition of a Non-contact Induction Heating of a Cutting Tool as a Substitute for the Process Heat for the Verification of a Thermal Simulation Model
Authors: Topinka Lukáš , Pruša Radomír , Huzlík Rostislav , Regel Joachim 
Published: June 2023

AbstractDuring metal machining, a large amount of heat is generated in the cutting zone, which has a negative impact on machining accuracy due to the thermal expansion of the materials. To reduce the temperature in the cutting zone, liquid coolants are used which increase the costs and can have a negative impact on the environment. This problem is being studied using Computational Fluid Dynamics (CFD) to better understand the behavior of the coolant flow in the cutting zone, which will allow optimization of the use of liquid coolants and the development of a correction method for thermal errors, resulting in more accurate machining with reduced resource and environmental footprints. However, due to the complexity of multiphase CFD simulations, the simulation model must be simplified as much as possible. This is particularly important for the process heat generation, as combining flow simulation of coolant flow around the rotating cutting tool with structural simulation of the milling process, including chip formation, would require excessive computational power. In following paper an alternative method of tool heating by electromagnetic induction is presented and the measurement dependencies required to determine the heat flux induced into the cutting tool are described. This can be further applied as a boundary condition for the numerical simulation as a verification method for the coupled Fluid-Structure Interaction FSI simulation model of the thermally induced deformations of the cutting tool and its holder.
Partnerschaftlichkeit und Machtdynamiken in der personellen Zusammenarbeit – Ergebnisse der Feldforschung
Authors: Ruppel Samantha 
Published: May 2023

ZusammenfassungDieses Kapitel wirft einen kritischen, analytischen Blick auf genau diese Zusammenarbeit und analysiert Herausforderungen, mit denen der ZFD konfrontiert wird. Insbesondere wird diese empirische Analyse deutlich machen, dass Organisationen wie der ZFD die lokalen Akteur*innen in der Zusammenarbeit ernst nehmen wollen und einen (vermeintlich) partnerschaftlichen Ansatz in ihrer Arbeit verfolgen. Sie werden jedoch mit inhärenten Machtstrukturen konfrontiert, die ihre Bemühungen um Partnerschaft, lokale Eigenverantwortung und horizontales Engagement systematisch behindern. Die Ergebnisse werden mit Hilfe von Geschichten aus der teilnehmenden Beobachtung dargestellt. Diese ethnografische, innovative Darstellungsweise ermöglicht es Lesenden die Forschung und die anschließende Reflexion besser nachvollziehen zu können.
Fazit
Authors: Ruppel Samantha 
Published: May 2023

ZusammenfassungDieses Kapitel fasst die Ergebnisse der Arbeit zusammen und schaut erneut auf die Fragestellung: „Inwiefern liegt im Kontext der Zivilen Konfliktbearbeitung eine gleichberechtige Partnerschaft der Akteur*innen vor? Inwiefern ist die Zusammenarbeit in der Zivilen Konfliktbearbeitung von Machtasymmetrien geprägt?“ Das Kapitel erläutert das „Märchen von der gleichberechtigten Partnerschaft“ und gibt Handlungsempfehlungen für Veränderungen in der Friedensarbeit.
Gauged double field theory, current algebras and heterotic sigma models
Authors: Hatsuda Machiko , Mori Haruka , Sasaki Shin , Yata Masaya 
Published: May 2023

Abstract
We study the O(D, D + n) generalized metric and the gauge symmetries in the gauged double field theory (DFT) in view of current algebras and sigma models. We show that the O(D, D + n) generalized metric in the gauged DFT is consistent with the heterotic sigma models at the leading order in the α′-corrections. We then study the non-Abelian gauge symmetries and current algebras of heterotic string theories. We show that the algebras exhibit the correct diffeomorphism, the B-field gauge transformations of the background fields together with the non-Abelian gauge transformations possibly with the appropriate local Lorentz transformations.
Entanglement entropy as an order parameter for strongly coupled nodal line semimetals
Authors: Baggioli Matteo , Liu Yan , Wu Xin-Meng 
Published: May 2023

Abstract
Topological semimetals are a class of many-body systems exhibiting novel macroscopic quantum phenomena at the interplay between high energy and condensed matter physics. They display a topological quantum phase transition (TQPT) which evades the standard Landau paradigm. In the case of Weyl semimetals, the anomalous Hall effect is a good non-local order parameter for the TQPT, as it is proportional to the separation between the Weyl nodes in momentum space. On the contrary, for nodal line semimetals (NLSM), the quest for an order parameter is still open. By taking advantage of a recently proposed holographic model for strongly-coupled NLSM, we explicitly show that entanglement entropy (EE) provides an optimal probe for nodal topology. We propose a generalized c-function, constructed from the EE, as an order parameter for the TQPT. Moreover, we find that the derivative of the renormalized EE with respect to the external coupling driving the TQPT diverges at the critical point, signaling the rise of non-local quantum correlations. Finally, we show that these quantum information quantities are able to characterize not only the critical point but also features of the quantum critical region at finite temperature.
Positivity bounds at one-loop level: the Higgs sector
Authors: Li Xu 
Published: May 2023

Abstract
In this paper, we promote the convex cone method of positive bounds from tree level to loop level. This method is general and can be applied to obtain leading s2 positivity bounds on the forward scattering process in the standard model effective field theory. To obtain the loop level bounds, the original tree level bounds are modified by loop corrections, which involve low dimensional coefficients. New positivity bounds being valid at one loop level on the four-Higgs scattering have been provided. We study some specific ultraviolet models to check the validity of the new bounds. In addition, the renormalisation group effect on positivity is explored. We point out that as long as the new bounds are satisfied at the cutoff scale Λ, they will also be satisfied at all scales below Λ.
Thermal regularization of t-channel singularities in cosmology and particle physics: the general case
Authors: Iglicki Michał 
Published: June 2023

Abstract
This paper presents a way to regularize the t-channel singularity (which appears when a massive, stable t-channel mediator of a given process is allowed to be on-shell, making the cross section infinite) in a general case of particles of any spin $$ \left(0,\frac{1}{2},1\right) $$

0

1
2

1

interacting within a thermal medium. Those interactions result in a finite lifetime of the mediator and allow to introduce an effective momentum- and temperature-dependent width. As a result, the would-be-singular cross section becomes finite. A complete derivation and an analytical result for the width are provided. For an illustration, the method is used to calculate the thermal widths and cross sections within the Vector-Fermion Dark Matter model.
In silico and in vitro studies of novel cyanoacrylamides incorporating pyrazole moiety against breast and prostate carcinomas
Authors: Sroor Farid M. , Mahrous Karima F. , Shafey Heba I. , Eid Nedal R. , Abdelhamid Ismail A. , Ibrahim Nada S. 
Published: June 2023

AbstractWe report novel cyanoacrylamide derivatives bearing the pyrazole moiety. The molecular structures of the prepared cyanoacrylamides were confirmed by the different spectral tools such as NMR, IR, and elemental analyses. The anticancer effect of all the newly prepared cyanoacrylamides was studied against four cancer cell lines (HEPG2, MCF7, PACA2, and PC3) as well as the normal cell line (BJ1). The best cytotoxic effect was shown against PC3, where compounds 5f and 5i revealed promising IC50 values (11.7 and 66.8 µM) respectively compared to doxorubicin (43.8 µM). In addition, the effective compounds were screened against a normal BJ1 cell line, which showed promising selectivity against PC3 and moderate selectivity toward MCF7 cells. The molecular docking study showed the affinities of compounds 5c and 5d toward STAT1 protein and compound 5i toward KRAS with promising energy scores. The subsequent molecular experiments were studied on compounds 5b, 5c, 5d, 5f, and 5i. Quantitative Real-time-PCR revealed that the expression of RBL2 and STAT2 genes were down-regulated in 5c and 5d treated MCF7 cells much lower than the other treated MCF7 samples. Also, the expression level of KRAS and SMAD genes was determined, which revealed the significant down-regulation of them in compounds 5f and 5i treated PC3 cells. The percentages of DNA damage were raised significantly in all treated MCF7 and PC3 samples as compared to the negative control, and the highest percentages were for compounds 5c and 5d treated MCF7 cells.
Graphical Abstract
Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection
Authors: Agarwal Siddharth , Wood David , Grzeda Mariusz , Suresh Chandhini , Din Munaib , Cole James , Modat Marc , Booth Thomas C 
Published: June 2023

Abstract
Purpose
Most studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative patient cohorts or are insufficiently well-validated, leading to poor generalisability to real-world tasks. The aim was to determine the diagnostic test accuracy and summarise the evidence supporting the use of AI models performing first-line, high-volume neuroimaging tasks.

Methods
Medline, Embase, Cochrane library and Web of Science were searched until September 2021 for studies that temporally or externally validated AI capable of detecting abnormalities in first-line computed tomography (CT) or magnetic resonance (MR) neuroimaging. A bivariate random effects model was used for meta-analysis where appropriate. This study was registered on PROSPERO as CRD42021269563.

Results
Out of 42,870 records screened, and 5734 potentially eligible full texts, only 16 studies were eligible for inclusion. Included studies were not compromised by unrepresentative datasets or inadequate validation methodology. Direct comparison with radiologists was available in 4/16 studies and 15/16 had a high risk of bias. Meta-analysis was only suitable for intracranial hemorrhage detection in CT imaging (10/16 studies), where AI systems had a pooled sensitivity and specificity 0.90 (95% confidence interval [CI] 0.85–0.94) and 0.90 (95% CI 0.83–0.95), respectively. Other AI studies using CT and MRI detected target conditions other than hemorrhage (2/16), or multiple target conditions (4/16). Only 3/16 studies implemented AI in clinical pathways, either for pre-read triage or as post-read discrepancy identifiers.

Conclusion
The paucity of eligible studies reflects that most abnormality detection AI studies were not adequately validated in representative clinical cohorts. The few studies describing how abnormality detection AI could impact patients and clinicians did not explore the full ramifications of clinical implementation.