bluuebunny/crossref_metadata_2025_split huggingface dataset:
Animating memories: revealing the organisation of remembering in interaction at museum exhibits
Authors: Meechan Lucy , vom Lehn Dirk 
Published: June 2024

AbstractIn this article we will explore how people’s memories of past experiences and events are evoked through their interaction with, and around museum objects. By examining naturally-occurring interactions which emerge at exhibits, we investigate how people draw upon material objects within the museum- texts and exhibits, when vocalising their rememberings of past experiences and events, and address the role of the body in animating these occasioned memories. Thus, we can observe how memories are brought to life at exhibits- these past encounters supplying a means through which to engage in the present, and address how people’s aesthetic encounters are shaped by these vocal and bodily animated rememberings. We also examine a case in which a participant’s remembering is questioned, exploring how participants resolve the contested status of memory to arrive at a concerted way of remembering and experiencing an exhibit. The analysis contributes to discussions within the sociology of memory and memory studies, as well as to museology and related areas of research. It is based on field observations and video-recordings of interaction in museums and other exhibitions in Great Britain and Europe, adopting ethnomethodology and conversation analysis as its analytic attitude.
Influence of Solution Treatment Process on the Properties of Duplex Stainless Steels: A Comparative Study on Microstructure and Corrosion Properties of UNS S32205 and UNS S32760
Authors: Tütük İbrahim , Ural Mehmet Moğoltay , Özer Gökhan , Kisasöz Alptekin 
Published: June 2024

AbstractThe study investigated the effect of the solution treatment process on the corrosion behavior and microstructure of the duplex stainless steel. It was also aimed to reveal this effect comparatively depending on the chemical composition and alloying element content. For this purpose, UNS S32205 and UNS S32760 alloys were treated at 1000 °C, 1020 °C and 1040 °C for an hour. A solution treatment temperature was determined according to Thermo-Calc analysis. The examined samples were characterized by an optical microscope, scanning electron microscope, and XRD analysis. Also, electrochemical impedance spectroscopy and potentiodynamic polarization analyses revealed the corrosion properties of solution-treated samples. Microstructural studies showed that enhanced solution treatment temperature increased ferrite content for both alloys. A lower solution treatment temperature caused the formation of sigma in the microstructure of S32760 alloy. On the other hand, the charge transfer resistance of the passive layer was reduced after solution treatment at 1000 °C and 1020 °C, indicating decreasing corrosion resistance. A higher austenite ratio in S32205 led to pitting, while corrosion resistance improved with higher treatment temperatures. The presence of the sigma phase in S32760 significantly impacted corrosion properties by increasing ion transfer on the surface, leading to reduced corrosion resistance. It was determined that solution treatment at 1040 °C was appropriate for both alloys to achieve the desired microstructure and corrosion properties.
Optimized Compound Layer Design for Highly Loaded Nitrided Gears
Authors: Sommer Michaela , Sitzmann André , Hantzsche Kerstin , Tobie Thomas , Stahl Karsten , Fechte-Heinen Rainer , Hoja Stefanie 
Published: June 2024

AbstractNitriding is a thermochemical surface hardening process, which can be used to improve the performance properties of gears. In particular, the tooth flank and tooth root load-carrying capacity can be significantly increased by nitriding. Previous work has shown that tribological dominated failure modes and limits, such as the micro-pitting and wear load-carrying capacity of gears, can be significantly increased by a suitable compound layer structure. In this work, the relationship between compound layer design and macro-pitting load-carrying capacity of nitrided gears is explored based on experimental investigations. For this purpose, the materials EN31CrMoV9 and EN42CrMo4 were nitrided under varying nitriding conditions to produce compound layers with different structures and properties. The characteristics of the compound layer such as phase composition, compound layer thickness and pore seam were extensively characterized by means of metallographic techniques, XRD, GDOES, and EBSD. Experimental investigations of the macro-pitting load-carrying capacity were carried out on an FZG back-to-back gear test rig with center distance a = 52 mm. It was shown that the pitting load-carrying capacity depends to a large extent on the characteristics of the compound layer, in particular on the formation of the pore seam. A minimum pore seam thickness of CLTP ≥ 1.8 µm has a positive effect on the pitting load-carrying capacity. The test results for the pitting load-carrying capacity are above (σH lim ≥ 1690 N/mm2) or, in some cases, significantly above (σH lim = 1979 N/mm2) the strength values specified in ISO 6336-5:2016 for nitrided nitriding steels (σH lim = 1450 N/mm2; material quality ME) and case-hardened alloy steels (σH lim = 1650 N/mm2; material quality ME).
Adherence to Dietary Behavior Recommendations Moderates the Effect Between Time Since Metabolic and Bariatric Surgery and Percentage Total Weight Loss
Authors: Bäuerle Alexander , Marsall Matthias , Niedergethmann Marco , von Feilitzsch Maximilian Freiherr , Frewer Anna-Lena , Skoda Eva-Maria , Pouwels Sjaak , Hasenberg Till , Teufel Martin 
Published: June 2024

Abstract
Purpose
Metabolic and bariatric surgery (MBS) is the gold standard in treating severe obesity. Previous research implies that different psychological and behavior-related factors might be critical for MBS’ sustained success. Yet adherence to dietary behavior recommendations and its impact on weight development is rarely examined. This study investigated the relationship between adherence to dietary behavior recommendations and the percentage of total weight loss (%TWL) after MBS.

Materials and Methods
This study is a cohort study (acquisition in Germany). N = 485 patients after MBS, being in grade III of obesity (body mass index (BMI) ≥ 40 kg/m2) pre-MBS, were included. Participants answered a standardized assessment on the relevant constructs, including adherence to dietary behavior recommendations, depression symptoms, weight, diet, and MBS characteristics.

Results
BMI pre-MBS, type of MBS, age, regularity of physical activity, and depression symptoms were identified as significant covariates of %TWL and adherence. Within 6 months after MBS, adherence seems to peak, F(5,352) = 12.35, p < .001. Adherence and time since MBS predict %TWL. A higher adherence (moderator) is related to a higher %TWL, R2 = 52.65%, F(13,344) = 31.54, p < .001.

Conclusion
After MBS, adherence to dietary behavior recommendations seems crucial for maximizing its success. Implications for the optimization of MBS’ success in aftercare management arise. In particular, behavior modification interventions should be routinely implemented.

Graphical Abstract
A new spectrophotometric method for the quantitative determination of Metopimazine based on the absorbance of its sulfoxide
Authors: Mozgova Olena , Blazheyevskiy Mykola , Kryskiw Liubomyr , Kucher Tetyana , Shliusar Oksana , Moroz Valeriy 
Published: June 2024

AbstractMetopimazine (MPZ) is a dopamine antagonist from the phenothiazine class of drugs. It has antiemetic properties and is used to treat nausea and vomiting, including those associated with cancer chemotherapy. We have proposed a new method for the quantitative determination of Metopimazine by spectrophotometry. The drug is determined using a difference spectrophotometric technique based on the absorbance of its previously prepared sulfoxide derivative (λmax = 355 nm, ε = 4.5 × 103 L/mol cm) relative to a solution of a non-derivatised drug. The sulfoxide derivative is formed quickly and quantitatively at room temperature by adding potassium caroate solution. The difference in the absorbance of solutions at 355 nm is proportional to the concentration of MPZ in the drug. The method is specific for an intact drug in the presence of oxidative and photochemical decomposition products and excipients. The linearity range is 0.9–30.0 μg/mL. Regression line equation: ΔA = 0.0061 × c (r = 0.999), where c is the MPZ concentration in μg/mL. The limit of quantitation, LOQ (10S), is 2.8 μg/mL. The possibility of quantitative determination of MPZ content in the bulk drug and tablets of Vogalen Lyok 7.5 mg with a relative standard deviation of 1.21% (δ = + 0.05%) and 1.38% (δ = – 0.67%), respectively, was shown. │δ│ <  tα (0.95, n = 7) × RSD/√n, where δ = ($$\overline{x}$$

x
¯

–μ) × 100%/μ (μ—quantification data, given in the Certificate of Quality).
Image generation of log ends and patches of log ends with controlled properties using generative adversarial networks
Authors: Björnberg Dag , Ericsson Morgan , Lindeberg Johan , Löwe Welf , Nordqvist Jonas 
Published: June 2024

AbstractThe appearance of the log cross-section provides important information when assessing the quality of the log, where properties to consider include pith location and density of annual rings. This makes tasks like estimation of pith location and annual ring detection of great interest. However, creating labeled training data for these tasks can be time-consuming and subject to misjudgments. For this reason, we aim to create generated training data with controlled properties of pith location and amount of annual rings. We propose a two-step generator based on generative adversarial networks in which we can completely avoid manual labeling, not only when generating training data but also during training of the generator itself. This opens up the possibility to train the generator on other types of log end data without the need to manually label new training data. The same method is used to create two generated training datasets; one of entire log ends and one of patches of log ends. To evaluate how the generated data compares to real data, we train two deep learning models to perform estimation of pith location and ring counting, respectively. The models are trained separately on real and generated data and evaluated on real data only. The results show that the performance of both estimation of pith location and ring counting can be improved by replacing real training data with larger sets of generated training data.
MRD in Philadelphia Chromosome-Positive ALL: Methodologies and Clinical Implications
Authors: Tran Valerie , Salafian Kiarash , Michaels Kenan , Jones Caroline , Reed Daniel , Keng Michael , El Chaer Firas 
Published: June 2024

Abstract
Purpose of Review
Measurable residual disease (MRD) is integral in the management of Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL). This review discusses the current methods used to evaluate MRD as well as the interpretation, significance, and incorporation of MRD in current practice.

Recent Findings
New molecular technologies have allowed the detection of MRD to levels as low as 10− 6. The most used techniques to evaluate MRD are multiparametric flow cytometry (MFC), quantitative reverse transcription polymerase chain reaction (RT-qPCR), and high-throughput next-generation sequencing (NGS). Each method varies in terms of advantages, disadvantages, and MRD sensitivity. MRD negativity after induction treatment and after allogeneic hematopoietic cell transplantation (HCT) is an important prognostic marker that has consistently been shown to be associated with improved outcomes. Blinatumomab, a new targeted therapy for Ph + ALL, demonstrates high efficacy in eradicating MRD and improving patient outcomes. In the relapsed/refractory setting, the use of inotuzumab ozogamicin and tisagenlecleucel has shown promise in eradicating MRD.

Summary
The presence of MRD has become an important predictive measure in Ph + ALL. Current studies evaluate the use of MRD in treatment decisions, especially in expanding therapeutic options for Ph + ALL, including tyrosine kinase inhibitors, targeted antibody therapies, chimeric antigen receptor cell therapy, and HCT.
Owning Decisions: AI Decision-Support and the Attributability-Gap
Authors: Zeiser Jannik 
Published: June 2024

AbstractArtificial intelligence (AI) has long been recognised as a challenge to responsibility. Much of this discourse has been framed around robots, such as autonomous weapons or self-driving cars, where we arguably lack control over a machine’s behaviour and therefore struggle to identify an agent that can be held accountable. However, most of today’s AI is based on machine-learning technology that does not act on its own, but rather serves as a decision-support tool, automatically analysing data to help human agents make better decisions. I argue that decision-support tools pose a challenge to responsibility that goes beyond the familiar problem of finding someone to blame or punish for the behaviour of agent-like systems. Namely, they pose a problem for what we might call “decision ownership”: they make it difficult to identify human agents to whom we can attribute value-judgements that are reflected in decisions. Drawing on recent philosophical literature on responsibility and its various facets, I argue that this is primarily a problem of attributability rather than of accountability. This particular responsibility problem comes in different forms and degrees, most obviously when an AI provides direct recommendations for actions, but also, less obviously, when it provides mere descriptive information on the basis of which a decision is made.
What Makes Effective Acute Geriatric Care? - A mixed Methods Study From Aotearoa New Zealand
Authors: Ijadi Maghsoodi Abtin , Barlow-Armstrong Jewel , Pavlov Valery , Rouse Paul , Walker Cameron Graham , Parsons Matthew 
Published: June 2024

Structured Abstract
Objectives
Current policies for older patients do not adequately address the barriers to effective implementation of optimal care models in New Zealand, partly due to differences in patient definitions and the in-patient pathway they should follow through hospital. This research aims to: (a) synthesise a definition of a complex older patient; (b) identify and explore primary and secondary health measures; and (c) identify the primary components of a care model suitable for a tertiary hospital in the midland region of the North Island of New Zealand.

Method
This mixed-methods study utilised a convergence model, in which qualitative and quantitative data were investigated separately and then combined for interpretation. Semi-structured interviews (n=11) were analysed using a general inductive method of enquiry to develop key codes, categories and themes. Univariate data analysis was employed using six years of routinely collected data of patients admitted to the emergency department and inpatient units (n=261,773) of the tertiary hospital.

Results
A definition of a complex older patient was determined that incorporates chronic conditions, comorbidities and iatrogenic complications, functional decline, activities of daily living, case fatality, mortality, hospital length of stay, hospital costs, discharge destination, hospital readmission and emergency department revisit and age – not necessarily over 65 years old. Well-performing geriatric care models were found to include patient-centred care, frequent medical review, early rehabilitation, early discharge planning, a prepared environment and multidisciplinary teams.

Conclusions
The findings of this New Zealand study increase understanding of acute geriatric care for complex older patients by filling a gap in policies and strategies, identifying potential components of an optimal care model and defining a complex geriatric patient.

Implications for Public Health
The findings of this study present actionable opportunities for clinicians, managers, academics and policymakers to better understand a complex older patient in New Zealand, with significant relevance also for international geriatric care and to establish an effective acute geriatric care model that leads to beneficial health outcomes and provides safeguard mechanisms.
Bounded Solutions for Non-parametric Mean Curvature Problems with Nonlinear Terms
Authors: Giachetti Daniela , Oliva Francescantonio , Petitta Francesco 
Published: June 2024

AbstractIn this paper we prove existence of nonnegative bounded solutions for the non-autonomous prescribed mean curvature problem in non-parametric form on an open bounded domain $$\Omega $$
Ω
of $${{\,\mathrm{\mathbb {R}}\,}}^N$$

R

N

. The mean curvature, that depends on the location of the solution u itself, is asked to be of the form f(x)h(u), where f is a nonnegative function in $$L^{N,\infty }(\Omega )$$

L

N
,
∞

(
Ω
)

and $$h:{{\,\mathrm{\mathbb {R}}\,}}^+\mapsto {{\,\mathrm{\mathbb {R}}\,}}^+$$

h
:

R

+

↦

R

+

is merely continuous and possibly unbounded near zero. As a preparatory tool for our analysis we propose a purely PDE approach to the prescribed mean curvature problem not depending on the solution, i.e. $$h\equiv 1$$

h
≡
1

. This part, which has its own independent interest, aims to represent a modern and up-to-date account on the subject. Uniqueness is also handled in presence of a decreasing nonlinearity. The sharpness of the results is highlighted by mean of explicit examples.
Leg stiffness and energy minimisation in human running gaits
Authors: Wróblewska Zofia , Kowalczyk Piotr , Przednowek Krzysztof 
Published: June 2024

AbstractA novel application of spring-loaded inverted pendulum model is proposed in this study. In particular, we use this model to find the existence of so-called fixed points, which correspond to actual running gaits, as functions of model parameters such as stiffness and energy. Applying the model to experimental data allows us to draw justifiable conclusions on mechanical energy minimisation for running gaits. The data were collected during a study witch 105 athletes. Force was measured using a pressure plate integrated in a treadmill. Kinematic data were recorded using two high-speed video cameras and an accelerometer placed on the back sacral localization. Each athlete completed trials by running at four different targeted velocities (9, 12.5, 16, 19.5 km/h). Running velocity influenced the values of the leg spring stiffness approximations, while the values of stiffness, determined using data from the pressure plate and camera, vary only slightly. The mechanical energy corresponding to periodic running gaits was studied with leg stiffness determined from the experiment. The mechanical energy of the runner slightly exceeded the minimum value of energy required for the existence of fixed points in the model. These results contribute to the general understanding of running gaits in terms of mechanical energy optimization.
How Does Children’s Anthropomorphism of a Social Robot Develop Over Time? A Six-Wave Panel Study
Authors: Kühne Rinaldo , Peter Jochen , de Jong Chiara , Barco Alex 
Published: June 2024

AbstractResearch on children’s anthropomorphism of social robots is mostly cross-sectional and based on a single measurement. However, because social robots are new type of technology with which children have little experience, children’s initial responses to social robots may be biased by a novelty effect. Accordingly, a single measurement of anthropomorphism may not accurately reflect how children anthropomorphize social robots over time. Thus, we used data from a six-wave panel study to investigate longitudinal changes in 8- to 9-year-old children’s anthropomorphism of a social robot. Latent class growth analyses revealed that anthropomorphism peaked after the first interaction with the social robot, remained stable for a brief period of time, and then decreased. Moreover, two distinct longitudinal trajectories of anthropomorphism could be identified: one with moderate to high anthropomorphism and one with low to moderate anthropomorphism. Previous media exposure to non-fictional robots increased the probability that children experienced higher levels of anthropomorphism.
Designing Behavior Change Support Systems Targeting Blood Donation Behavior
Authors: Müller Helena M. , Reuter-Oppermann Melanie 
Published: June 2024

AbstractWhile blood is crucial for many surgeries and patient treatments worldwide, it cannot be produced artificially. Fulfilling the demand for blood products on average days is already a major challenge in countries like South Africa and Ghana. In these countries, less than 1 % of the population donates blood and most of the donations come from first-time donors who do not return. Sufficient new, first-time and even lapsed donors must be motivated to donate regularly. This study argues that blood donation behavior change support systems (BDBCSS) can be beneficially applied to support blood donor management in African countries. In this study, the design science research (DSR) approach is applied in order to derive generic design principles for BDBCSS and instantiate the design knowledge in prototypes for a blood donation app and a chatbot. The design principles were evaluated in a field study in South Africa. The results demonstrate the positive effects of BDBCSS on users’ intentional and developmental blood donation behavior. This study contributes to research and practice by proposing a new conceptualization of blood donation information systems support and a nascent design theory for BDBCSS that builds on behavioral theories as well as related work on blood donation information systems. Thus, the study provides valuable implications for designing preventive health BCSS by stating three design principles for a concrete application context in healthcare.
Ambient Radiological Condition around an Operating Uranium Mill Tailings Disposal Facility at Turamdih, India
Authors: Kumar Rajesh , Jha V. N. , Jha S. K. , Sahoo S. K. , Verma G. P. , Kulkarni M. S. 
Published: June 2024

AbstractLarge quantity of the feed forms part of the solid waste (tailings) slurry in the low grade uranium ore processing plant at Turamdih in Singhbhum region of Jharkhand, India. Coarser size fraction of this waste is used for backfilling of the underground uranium mines and fine fraction is discharged into an engineered impoundment system or tailings pond. Since inception of the discharges, field expeditions have been performed as part of the comprehensive radiological monitoring program for the facility. The monitoring program broadly consists of ambient gamma dose rate, atmospheric 222Rn and long lived alpha activity measurement around the facility and the estimation of radionuclide in diverse environmental matrices collected from the adjoining sites. Findings reflect that the radiological conditions are comparable to the pre-existing background level adjoining the tailings pond impoundment. Further, measurements for more than a decade confirm that the atmospheric radon concentration profile just a few meters beyond the embankment is indistinguishable from the background.