bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die proximale Humerusfraktur: Ist die Operation immer die beste Wahl
Authors: Fenwick Annabel , Schreiner Sabine , Bund Theresa , Gilbert Fabian , Reichel Thomas , Meffert Rainer , Eden Lars 
Published: June 2023

ZusammenfassungHintergrundProximale Humerusfrakturen gehören zu den dritthäufigsten, osteoporotischen Verletzungen mit steigender Inzidenz. Die Indikationsstellung wird weiterhin kontrovers diskutiert. Ziel unserer Studie war es herauszufinden, ob der Trend zur konservativen Therapie gerechtfertigt ist und sich hiermit v. a. beim geriatrischen Patienten vergleichbare, reproduzierbare Ergebnisse erreichen lassen.Material und MethodenIn die retrospektive Single-center-Studie wurden 128 Patienten mit konservativer und kopferhaltender operativer Therapie zwischen 2013 und 2015 eingeschlossen und davon wurden 91 nachuntersucht. Demografische Daten, operative Versorgung sowie Komplikationen wurden erhoben. Eine Follow-up-Untersuchung fand statt, in der Subjective Shoulder Value (SSV), visuelle Analogskala (VAS), Disability of Arm, Shoulder and Hand Questionnaire (DASH), Constant Murley Score (CMS) und Bewegungsausmaß erhoben wurden. Eine radiologische Auswertung wurde durchgeführt.ErgebnisseIn den Scores wurden folgende Ergebnisse für konservative und operative Therapie erzielt (konservativ: VAS Schmerz 0,89 Punkte, CMS abs. 70,7 Punkte, DASH: 16,5 Punkte; operativ: VAS Schmerz 1,7 Punkte, CMS abs. 63,5 Punkte, DASH: 24,2 Punkte). Es zeigte sich kein signifikanter Unterschied zwischen Nagel- und Plattenosteosynthese. Die Komplikationsrate betrug 20 %. Die konservative Gruppe erzielte ein besseres Bewegungsausmaß. Die dislozierten Frakturen waren auffallend, wenngleich nicht statistisch signifikant schlechter im Vergleich zu den Neer-1-Frakturen und nur leichtgradig schlechter als die operativ versorgten Patienten.SchlussfolgerungDie Behandlung der proximalen Humerusfraktur bleibt weiterhin eine individuelle Entscheidung abhängig von Funktionsanspruch, Alter und Komorbiditäten. Die konservative Therapie kann in Erwägung gezogen werden, teils auch bei formell bestehender Operationsindikation (v. a. 2‑ und 3‑Part-Frakturen), da sich hiermit vergleichbare Langzeitergebnisse mit hoher Patientenzufriedenheit und reduziertem (perioperativem) Risiko erzielen lassen.
Layout optimization of steel reinforcement in concrete structure using a truss-continuum model
Authors: Chen Anbang , Lin Xiaoshan , Zhao Zi-Long , Xie Yi Min 
Published: June 2023

AbstractOwing to advancement in advanced manufacturing technology, the reinforcement design of concrete structures has become an important topic in structural engineering. Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in this study to optimize the reinforcement layout in steel-reinforced concrete (SRC) structures. This approach combines a minimum compliance objective function with a hybrid truss-continuum model. Furthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposed to control the level of tensile stress in concrete. To fully utilize the tensile strength of steel and the compressive strength of concrete, the optimization sensitivity of steel in a concrete–steel composite is integrated with the average normal stress of a neighboring concrete. To demonstrate the effectiveness of the proposed procedures, reinforcement layout optimizations of a simply supported beam, a corbel, and a wall with a window are conducted. Clear steel trajectories of SRC structures can be obtained using both methods. The area of critical tensile stress in concrete yielded by the M-BESO is more than 40% lower than that yielded by the uniform design and BESO. Hence, the M-BESO facilitates a fully digital workflow that can be extremely effective for improving the design of steel reinforcements in concrete structures.
Rethinking Vulnerability as a Radically Ethical Device: Ethical Vulnerability Analysis and the EU’s “Migration Crisis”
Authors: Da Lomba Sylvie , Vermeylen Saskia 
Published: June 2023

AbstractWe reinvigorate vulnerability theory as a radically ethical device — ethical vulnerability analysis. We bring together fuller vulnerability analysis as theorized by Fineman and Grear in conversation with Levinas and Derrida’s radical vulnerability and the ethics of hospitality to construct a theoretical framework that is firmly anchored in the realities of the everyday that are vulnerability and migration. This novel framework offers a thinking space to subvert approaches to migrants and migration as it compels us to come face-to face with the “other”, which in turn renders the political accountable by her.We deploy ethical vulnerability analysis to deconstruct the EU’s “migration crisis” and investigate whether the activation of temporary protection for displaced persons from Ukraine signifies a humanizing turn in the EU’s asylum and migration policies. In this regard, we submit that this hospitable moment constitutes an “exception to the rule” rather than a paradigm shift.
Basic psychological needs and suicidal ideation: testing an integrative model in referred and non-referred adolescents
Authors: Nieto-Casado Francisco J. , Vansteenkiste Maarten , Brenning Katrijn , Oliva Alfredo , Rodríguez-Meirinhos Ana , Antolín-Suárez Lucía 
Published: June 2023

AbstractThis study tested an integrative model linking experiences of need frustration and need satisfaction with suicidal ideation through a risk-enhancing (via anxious-depressive symptoms) and a risk-reducing pathway (via positive cognitions) in adolescents. The generalizability of the model based on the clinical status of the participants was also explored. A matched sample of referred (n = 210) and non-referred (n = 210) adolescents aged between 12 and 17 years old completed self-report measures of psychological need-based experiences, suicidal ideation, positive cognitions, and anxious-depressive symptoms. Structural equation modeling was used to explore the proposed model. Mediation analysis showed that need frustration was positively associated with suicidal ideation through anxious-depressive symptoms, while need satisfaction was negatively associated with suicidal ideation through positive cognitions. Invariance analysis pointed to limited differences in the model associations as a function of clinical status. These initial findings suggest the relevance of consider need frustration and need satisfaction in explaining suicidal ideation. The integration of risk and protective factors and the study of the generalizability of the data across the clinical status of adolescents provide preliminary implications for the development of interventions to prevent suicidal ideation.
Anthropic Vulnerability of a Hydrothermal Mineral Deposit and Related Mining Heritage, a Case Study from a Medieval Gold-Silver Mining Area, Telkibánya, Hungary
Authors: Szepesi János , Sütő László , Novák Tibor József , Ésik Zsuzsanna , Benkó Zsolt , Gruber Péter , Mcintosh Richard William , Harangi Szabolcs , Lukács Réka 
Published: June 2023

AbstractThe movable geoheritage elements (minerals, fossils, rocks) are important part of geodiversity. Their anthropic vulnerability includes collection by geo-amateurs and professionals which has become a very popular activity in the last decades. The in situ protection of such geoheritage elements preserves their authenticity and integrity, but needs detailed inventory and assessment providing recommendation for geoconservation. The aim of this study is to investigate a medieval mining site of the Carpathians (Telkibánya, Hungary) where recent anthropic vulnerability related to mineral collecting. Earlier works emphasized the scientific, aesthetic, and geo-educational potential of the mineral association and mining heritage of the study area. Our field survey gives a review of medieval mining works and the current state of the surviving infrastructure identifies the major areas of mineral collecting disturbances and the integrity of the main and additional geological elements. Based on the degradation risk assessment, further conservation management initiatives are proposed by open collecting outcrops (exposure sites) and declared protection with controlled collecting (finite sites).
MOB kinase activator 1A acts as an oncogene by targeting PI3K/AKT/mTOR in ovarian cancer
Authors: Lei Jian , Xu Jing-Ying , Hu Min , Wu San-Gang , Zhou Juan 
Published: June 2023

AbstractBackgroundTo illuminate the precise roles of MOB Kinase Activator 1 A (MOB1A) in the development of ovarian cancer (OC).MethodsMOB1A expression and clinical data of OC were obtained from the public database on gene expression and proteomics. Meanwhile, verification of expression was carried out in Gene Expression Omnibus, the Human Protein Atlas, and OC cell lines. The prognosis of MOB1A was explored in the Kaplan-Meier plotter. RNA interference and lentivirus vectors were applied to construct knockdown and overexpressed cell models. Changes in the malignant behaviors of OC cells were detected by cholecystokinin octopeptide cell counting kit, wound healing, colony formation assay, transwell, flow cytometry assays, and in vivo experiments. Changes in proteins in the PI3K and autophagy-related makers were detected by western blot analysis.ResultsThe expression of MOB1A was significantly upregulated and accompanied by an inferior survival rate in OC. Knockdown of MOB1A inhibited the proliferation, invasion, migration, and cell cycle of OC cells, whereas induced cell autophagy. MOB1A upregulation had the opposite effects. In addition, bioinformatics analysis and western blot experiments showed that MOB1A plays an important role in the PI3K/AKT/mTOR pathway.ConclusionsOur findings indicated that MOB1A is highly expressed and related to poor prognosis in OC. MOB1A plays a role in promoting the malignant biological behavior of tumor cells through PI3K/AKT/mTOR signaling pathway.
A Recommender Approach to Enable Effective and Efficient Self-Service Analytics in Data Lakes
Authors: Stach Christoph , Eichler Rebecca , Schmidt Simone 
Published: June 2023

AbstractAs a result of the paradigm shift away from rather rigid data warehouses to general-purpose data lakes, fully flexible self-service analytics is made possible. However, this also increases the complexity for domain experts who perform these analyses, since comprehensive data preparation tasks have to be implemented for each data access. For this reason, we developed BARENTS, a toolset that enables domain experts to specify data preparation tasks as ontology rules, which are then applied to the data involved. Although our evaluation of BARENTS showed that it is a valuable contribution to self-service analytics, a major drawback is that domain experts do not receive any semantic support when specifying the rules. In this paper, we therefore address how a recommender approach can provide additional support to domain experts by identifying supplementary datasets that might be relevant for their analyses or additional data processing steps to improve data refinement. This recommender operates on the set of data preparation rules specified in BARENTS—i.e., the accumulated knowledge of all domain experts is factored into the data preparation for each new analysis. Evaluation results indicate that such a recommender approach further contributes to the practicality of BARENTS and thus represents a step towards effective and efficient self-service analytics in data lakes.
Investigation of the optimal indocyanine green dose in real-time fluorescent cholangiography during laparoscopic cholecystectomy with an ultra-high-definition 4K fluorescent system: a randomized controlled trial
Authors: Liu Hui , Kuang Jiao , Xu Yujie , Li Tianyang , Li Peilin , Huang Zisheng , Zhang Shuai , Weng Jiefeng , Lai Yueyuan , Wu Zhaofeng , Lin Fan , Gu Weili , Huang Yu 
Published: June 2023

AbstractThis study aimed to investigate the indocyanine green (ICG) dose in real‐time fluorescent cholangiography during laparoscopic cholecystectomy (LC) with a 4K fluorescent system. A randomized controlled clinical trial was conducted in patients who underwent LC for treatment of cholelithiasis. Using the OptoMedic 4K fluorescent endoscopic system, we compared four different doses of ICG (1, 10, 25, and 100 µg) administered intravenously within 30 min preoperatively and evaluated the fluorescence intensity (FI) of the common bile duct and liver background and the bile-to-liver ratio (BLR) of the FI at three timepoints: before surgical dissection of the cystohepatic triangle, before clipping the cystic duct, and before closure. Forty patients were randomized into four groups, and 33 patients were fully analyzed, with 10 patients in Group A (1 µg), 7 patients in Group B (10 µg), 9 patients in Group C (25 µg), and 7 patients in Group D (100 µg). The preoperative baseline characteristics were compared among groups (p > 0.05). Group A showed no or minimal FI in the bile duct and liver background, while Group D showed extremely high FIs in the bile duct and in the liver background at the three timepoints. Groups B and C presented with visible FI in the bile duct and low FI in the liver background. With increasing ICG doses, the FIs in the liver background and bile duct gradually increased at the three timepoints. The BLR, however, showed no increasing trend with an increasing ICG dose. A relatively high BLR on average was found in Group B, without a significant difference compared to the other groups (p > 0.05). An ICG dose ranging from 10 to 25 µg by intravenous administration within 30 min preoperatively was appropriate for real‐time fluorescent cholangiography in LC with a 4K fluorescent system. Registration: This study was registered in the Chinese Clinical Trial Registry (ChiCTR No: ChiCTR2200064726).
AI-Based Estimation of Swelling Stress for Soils in South Africa
Authors: Aneke Frank I. , Onyelowe Kennedy C. , Ebid Ahmed M. 
Published: June 2023

AbstractSoil swelling is one of the major causes of structural failure, due to excessive moisture saturation and desaturation moisture. In situ measurement of swelling stress is somewhat impossible and requires tedious routine site observation. The use of artificial intelligence to predict the swelling stress of in situ soil is highly recommended, because of the complex behavior of soil upon moisture absorption. Because of this challenge, this study is channeled towards the prediction of swelling stress using basic geotechnical properties to save the challenges of repeating geotechnical experimental tests. In this study, the swelling stress of soils collected from 15 locations in 5 sites across South Africa has been predicted by using the artificial neural network (ANN), genetic programming (GP), and evolutionary polynomial regression (EPR)-based intelligent techniques. Multiple data were collected through laboratory experiments on the predictors: gravimetric moisture content (GMC), plasticity index (Ip), dry density (γd), free swell index (FSI), degree of saturation (S), matric suction (Ψm) and the target, and swelling stress (Psm). This predictive model was aimed at proposing models, which will help earthwork designers and constructors in South Africa overcome the rampant visit to the laboratory in search of soil data needed for geotechnical engineering designs. The soils showed their potential for swelling, which was eventually confirmed by the sensitivity analysis of the intelligent models. The performance indices of the models showed that ANN outclassed the other techniques with a performance accuracy of 93.6% at an error of 1.9%. Also, the sensitivity analysis showed that the plasticity index and matric suction were the most influential to the models. With the predicted models, future earthworks in South Africa can quickly forecast swelling stress prior to designs and construction more so in hydraulically bound environments.
Erythropoiesis in Cushing syndrome: sex-related and subtype-specific differences. Results from a monocentric study
Authors: Detomas M. , Deutschbein T. , Tamburello M. , Chifu I. , Kimpel O. , Sbiera S. , Kroiss M. , Fassnacht M. , Altieri B. 
Published: June 2023

Abstract
Context
Cushing syndrome (CS) is associated with different hematological abnormalities. Nevertheless, conflicting data about erythropoiesis in CS have been reported. Furthermore, it is unclear whether CS sex and subtype-specific alterations in red blood cells (RBC) parameters are present.

Objective
To investigate sex and subtype-specific changes in RBC in patients with CS at initial diagnosis and after remission.

Design
Retrospective, monocentric study including 210 patients with CS (women, n = 162) matched 1:1 for sex and age to patients with pituitary microadenomas or adrenal incidentalomas (both hormonally inactive). RBC parameters were evaluated at initial diagnosis and after remission.

Results
Women with CS had higher hematocrit (median 42.2 vs 39.7%), hemoglobin (14.1 vs 13.4 g/dl) and mean corpuscular volume (MCV) (91.2 vs 87.9 fl) compared to the controls (all p < 0.0001). Women with Cushing disease (CD) showed higher hematocrit, RBC and hemoglobin levels than those with ectopic Cushing (ECS) (all p < 0.005). Men with CS had lower hematocrit (42.9 vs 44.7%), RBC count (4.8 vs 5.1n*106/µl) and hemoglobin (14.2 vs 15.4 g/dl), but higher MCV (90.8 vs 87.5 fl) than controls (all p < 0.05). In men with CS, no subtype-specific differences were identified. Three months after remission hemoglobin decreased in both sexes.

Conclusion
CS is characterized by sexual and subtype-specific differences in RBC parameters. Compared to controls, women with CS showed higher hematocrit/hemoglobin levels, whereas men had lower hematocrit/hemoglobin, which further decreased directly after remission. Therefore, anemia should be considered as complication of CS in men. In women, differences in RBC parameters may help to differentiate CD from ECS.
A problem-specific parallel pareto local search for the reactive decision support of a special RCPSP extension
Authors: Cai Junqi , Peng Zhihong , Ding Shuxin , Wang Zhiguo , Wei Yue 
Published: June 2023

AbstractThe disaster information collection mission should be executed after the disaster occurs to provide details for the decision-makers. During the execution of the information collection mission, some disruptions may occur and prevent the resource used for information collection from completing the mission as planned. It is difficult for decision-makers to make reactive resource scheduling plan that optimize the mission’s execution time, quality, and cost at the same time under such circumstances. This article focuses on designing the reactive decision support algorithm for the disaster information collection resource scheduling, which aims to provide multi high-quality scheduling plans for decision-makers to choose. The problem studied in this article is modeled as an extension of Resource-Constrained Project Scheduling Problem (RCPSP). First, the basic problem formulation for a normal schedule and two disruption recovery models are presented. Second, a novel framework of a parallel pareto local search based on decomposition is designed to repair the schedule within the time limit. Third, two solution acceptance criteria based on constraint handling and negative correlation are specially designed to maintain high-quality population with diversity. The experiments show that the proposed method outperforms the other competitors with respect to Inverted Generational Distance, Spacing, and Hypervolume, which means that the proposed method can help decision-makers to make better decisions.
$${L_1}$$-2-Type Surfaces in 3-Dimensional De Sitter and Anti De Sitter Spaces
Authors: García-Martínez S. Carolina , Lucas Pascual , Ramírez-Ospina H. Fabián 
Published: June 2023

AbstractLet $$M_s^2$$

M
s
2

be an orientable surface immersed in the De Sitter space $$\mathbb {S}_1^3\subset \mathbb {R}^4_1$$

S
1
3

⊂

R

1
4

or anti de Sitter space $$\mathbb {H}_1^3\subset \mathbb {R}^4_2$$

H
1
3

⊂

R

2
4

. In the case that $$M_s^2$$

M
s
2

is of $$L_1$$

L
1

-2-type we prove that the following conditions are equivalent to each other: $$M_s^2$$

M
s
2

has a constant principal curvature; $$M_s^2$$

M
s
2

has constant mean curvature; $$M_s^2$$

M
s
2

has constant second mean curvature. As a consequence, we also show that an $$L_1$$

L
1

-2-type surface is either an open portion of a standard pseudo-Riemannian product, or a B-scroll over a null curve, or else its mean curvature, its Gaussian curvature and its principal curvatures are all non-constant.
ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs
Authors: Riedel Pascal , von Schwerin Reinhold , Schaudt Daniel , Hafner Alexander , Späte Christian 
Published: June 2023

AbstractPersonal health data is subject to privacy regulations, making it challenging to apply centralized data-driven methods in healthcare, where personalized training data is frequently used. Federated Learning (FL) promises to provide a decentralized solution to this problem. In FL, siloed data is used for the model training to ensure data privacy. In this paper, we investigate the viability of the federated approach using the detection of COVID-19 pneumonia as a use case. 1411 individual chest radiographs, sourced from the public data repository COVIDx8 are used. The dataset contains radiographs of 753 normal lung findings and 658 COVID-19 related pneumonias. We partition the data unevenly across five separate data silos in order to reflect a typical FL scenario. For the binary image classification analysis of these radiographs, we propose ResNetFed, a pre-trained ResNet50 model modified for federation so that it supports Differential Privacy. In addition, we provide a customized FL strategy for the model training with COVID-19 radiographs. The experimental results show that ResNetFed clearly outperforms locally trained ResNet50 models. Due to the uneven distribution of the data in the silos, we observe that the locally trained ResNet50 models perform significantly worse than ResNetFed models (mean accuracies of 63% and 82.82%, respectively). In particular, ResNetFed shows excellent model performance in underpopulated data silos, achieving up to +34.9 percentage points higher accuracy compared to local ResNet50 models. Thus, with ResNetFed, we provide a federated solution that can assist the initial COVID-19 screening in medical centers in a privacy-preserving manner.
Teacher Re-novicing on the Path to Integrating Computational Thinking in High School Physics Instruction
Authors: Lane W. Brian , Galanti Terrie M. , Rozas X. L. 
Published: June 2023

AbstractIntegrating computational thinking (CT) into STEM disciplines requires secondary teachers to develop their pedagogical content knowledge of computing and content integration. Experienced teachers who choose to integrate CT in their secondary STEM courses may struggle in the same ways as novice teachers as they learn about programming and its potential use within their content areas. This study describes these potential struggles as teacher re-novicing in the context of high school physics. The research team facilitated a week-long computing integration workshop for physics teachers (n = 24) from three countries. The teachers engaged with computational learning activities in Jupyter Notebooks with the goal of developing their capacity to integrate Python in physics applications. Qualitative analysis of teacher surveys supported our theorization of a pathway of CT integration knowledge development. We describe these professional learning needs in four illustrative cases, building a grounded theory for teacher re-novicing as a pathway beginning with computing knowledge, moving through physics applications of computing, and arriving at pedagogical knowledge for physics-CT integration.