bluuebunny/crossref_metadata_2025_split huggingface dataset:
Einblick in die Festigkeitsberechnung nach DIN 3689 genormter hypotrochoidischer Welle-Nabe-Verbindungen unter reiner Torsionsbeanspruchung
Authors: Selzer Marcus , Ziaei Masoud , Forbrig Frank 
Published: May 2024

ZusammenfassungIm Bereich der modernen Antriebstechnik sind immer höhere Leistungsdichten gefordert, weshalb die herkömmlichen formschlüssigen Welle-Nabe-Verbindungen zunehmend an ihre mechanischen Grenzen stoßen. Vor diesem Hintergrund erschien im November 2021 die Norm DIN 3689 Teil 1 für die hypotrochoidische Profilgeometrie als vielversprechende Alternative, welche in genannter Norm die Abkürzung H‑Profil erhalten hat. Auf Basis umfangreicher Bauteilversuche nach dem Treppenstufenverfahren wurde ihr dynamisches Tragverhalten bei einer schwellenden Torsionsbelastung untersucht. Die unter dieser Vorgehensweise ermittelten experimentellen Kerbwirkungszahlen sowie ertragbaren Torsionsmomentamplituden geben einen ersten Einblick in die dynamische Torsionsbeanspruchbarkeit in Abhängigkeit der Profilparameter Mitnehmerzahl und Profilexzentrizität. Ergänzend wurde auch der Einfluss des Werkstoffs der Welle betrachtet.Für die alleinige H‑Profilwelle ohne Nabe existieren bereits verlässliche Berechnungsgleichungen, welche auf einer analytischen Methode beruhen. Für den statischen Lastfall wurden diese Gleichungen bereits experimentell abgesichert. Die Ergebnisse werden im hier vorliegenden Beitrag für die reine Torsionsbeanspruchung vorgestellt und zeitnah in den Berechnungsteil 2 der Norm DIN 3689 einfließen. Damit wird dem Konstrukteur ein Werkzeug zur Verfügung gestellt, womit er zukünftig die Auslegung der H‑Profilwellen und die Berechnung erforderlicher statischer Sicherheiten vornehmen kann. Zur Abschätzung der dynamischen Übertragungsfähigkeit werden rein rechnerische Kerbwirkungszahlen der untersuchten H‑Profilwellen vorgestellt, deren Gegenüberstellung mit den experimentellen Werten der Verbindung zudem die Wirkung der tribologischen Beanspruchung im Kontakt zwischen Welle und Nabe auf die Gestaltfestigkeit aufzeigt.Die zu den herkömmlichen Formschlussverbindungen vergleichsweise niedrigen Kerbwirkungszahlen der alleinigen H‑Profilwellen und auch der Verbindungen mit Nabe aufgrund der geometriebedingt geringeren Kerbwirkung lassen in Kombination mit einer wirtschaftlichen Herstellbarkeit hypotrochoidischer Profile eine erfolgversprechende Zukunft erwarten.
Nest excavators’ learning walks in the Australian desert ant Melophorus bagoti
Authors: Deeti Sudhakar , McLean Donald James , Cheng Ken 
Published: May 2024

Abstract
The Australian red honey ant, Melophorus bagoti, stands out as the most thermophilic ant in Australia, engaging in all outdoor activities during the hottest periods of the day during summer months. This species of desert ants often navigates by means of path integration and learning landmark cues around the nest. In our study, we observed the outdoor activities of M. bagoti workers engaged in nest excavation, the maintenance of the nest structure, primarily by taking excess sand out of the nest. Before undertaking nest excavation, the ants conducted a single exploratory walk. Following their initial learning expedition, these ants then engaged in nest excavation activities. Consistent with previous findings on pre-foraging learning walks, after just one learning walk, the desert ants in our study demonstrated the ability to return home from locations 2 m away from the nest, although not from locations 4 m away. These findings indicate that even for activities like dumping excavated sand within a range of 5–10 cm outside the nest, these ants learn and utilize the visual landmark panorama around the nest.
Optimal Scale-Invariant Wavelet Representation and Filtering of Human Otoacoustic Emissions
Authors: Moleti Arturo 
Published: May 2024

AbstractOtoacoustic emissions (OAEs) are generated in the cochlea and recorded in the ear canal either as a time domain waveform or as a collection of complex responses to tones in the frequency domain (Probst et al. J Account Soc Am 89:2027–2067, 1991). They are typically represented either in their original acquisition domain or in its Fourier-conjugated domain. Round-trip excursions to the conjugated domain are often used to perform filtering operations in the computationally simplest way, exploiting the convolution theorem. OAE signals consist of the superposition of backward waves generated in different cochlear regions by different generation mechanisms, over a wide frequency range. The cochlear scaling symmetry (cochlear physics is the same at all frequency scales), which approximately holds in the human cochlea, leaves its fingerprints in the mathematical properties of OAE signals. According to a generally accepted taxonomy (Sher and Guinan Jr, J Acoust Soc Am 105:782–798, 1999), OAEs are generated either by wave-fixed sources, moving with frequency according with the cochlear scaling (as in nonlinear distortion) or by place-fixed sources (as in coherent reflection by roughness). If scaling symmetry holds, the two generation mechanisms yield OAEs with different phase gradient delay: almost null for wave-fixed sources, and long (and scaling as 1/f) for place-fixed sources. Thus, the most effective representation of OAE signals is often that respecting the cochlear scale-invariance, such as the time-frequency domain representation provided by the wavelet transform. In the time-frequency domain, the elaborate spectra or waveforms yielded by the superposition of OAE components from different generation mechanisms assume a much clearer 2-D pattern, with each component localized in a specific and predictable region. The wavelet representation of OAE signals is optimal both for visualization purposes and for designing filters that effectively separate different OAE components, improving both the specificity and the sensitivity of OAE-based applications. Indeed, different OAE components have different physiological meanings, and filtering dramatically improves the signal-to-noise ratio.
A phase 1 study to assess the absolute bioavailability, mass balance, pharmacokinetics, metabolism, and excretion of [14C]-mobocertinib, an oral inhibitor of EGFR exon 20 insertion mutations, in healthy participants
Authors: Hanley Michael J. , Zhang Steven , Griffin Robert , Zhu Sean Xiaochun , Fram Robert J. , Lin Jianchang , Venkatakrishnan Karthik , Gupta Neeraj 
Published: May 2024

AbstractMobocertinib (TAK-788) is a first-in-class oral epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that received accelerated approval for the treatment of patients with non-small cell lung cancer with EGFR exon 20 insertion mutations previously treated with platinum-based chemotherapy. This phase 1, 2-period, study was conducted to assess the absolute bioavailability of mobocertinib (Period 1), as well as mass balance, pharmacokinetics, metabolism, and excretion of [14C]-mobocertinib (Period 2) in healthy adult males. In Period 1, participants received a single oral capsule dose of 160 mg mobocertinib, followed by a 15-minute intravenous infusion of 50 µg (~ 2 µCi) [14C]-mobocertinib administered from 3.75 to 4 h after the capsule dose. In Period 2, a single oral dose of 160 mg (~ 100 µCi) [14C]-mobocertinib was administered as an oral solution. The geometric mean absolute bioavailability of mobocertinib was determined to be 36.7%. After oral administration of [14C]-mobocertinib, mobocertinib and its active metabolites, AP32960 and AP32914, were minor components in plasma, accounting for only 0.275% of total plasma radioactivity as the majority of mobocertinib-related material was covalently bound to plasma proteins. The geometric mean percentage of the administered radioactive dose recovered in the urine and feces was 3.57% and 76.0%, respectively. Only 0.39% of the oral dose of [14C]-mobocertinib was recovered in the urine as mobocertinib; thus, indicating that renal excretion of unchanged drug was a very minor pathway of elimination. In both treatment periods, mobocertinib was generally safe and well-tolerated as all adverse events were Grade 1 in severity. (Trial registration number ClinicalTrials.gov NCT03811834. Registration date January 22, 2019).
The broken windows theory applies to technical debt
Authors: Levén William , Broman Hampus , Besker Terese , Torkar Richard 
Published: May 2024

Abstract
Context:
The term technical debt (TD) describes the aggregation of sub-optimal solutions that serve to impede the evolution and maintenance of a system. Some claim that the broken windows theory (BWT), a concept borrowed from criminology, also applies to software development projects. The theory states that the presence of indications of previous crime (such as a broken window) will increase the likelihood of further criminal activity; TD could be considered the broken windows of software systems.

Objective:
To empirically investigate the causal relationship between the TD density of a system and the propensity of developers to introduce new TD during the extension of that system.

Method:
The study used a mixed-methods research strategy consisting of a controlled experiment with an accompanying survey and follow-up interviews. The experiment had a total of 29 developers of varying experience levels completing system extension tasks in already existing systems with high or low TD density.

Results:
The analysis revealed significant effects of TD level on the subjects’ tendency to re-implement (rather than reuse) functionality, choose non-descriptive variable names, and introduce other code smells identified by the software tool , all with at least $$95\%$$

95
%

credible intervals.

Coclusions:
Three separate significant results along with a validating qualitative result combine to form substantial evidence of the BWT’s existence in software engineering contexts. This study finds that existing TD can have a major impact on developers propensity to introduce new TD of various types during development.
Life cycle sustainability assessment method for concrete
Authors: Choi Wonyoung , Tae Sungho 
Published: May 2024

AbstractThis study aimed to develop a life cycle sustainability assessment method for concrete. An environmental impact assessment method was developed using the ELCA technique announced through the ISO 14,040 Series and KOLID, one of the life cycle impact assessment indicators. A life cycle cost assessment method was developed based on the unit price of materials and energy consumption according to the Korea Price Information. A Social Impact Assessment Method was developed by identifying appropriate major social topics and analyzing those suggested by the international organizations (UNEP). In accordance with the ‘Towards a Life Cycle Sustainability Assessment’ proposed by UNEP/SETAC, a Sustainable Concrete Index (SCI) was developed that integrates environmental, economic, and social aspects. In addition, the environmental impact of Korea’s 544 concrete types was classified by compressive strength, and the mode value was proposed as a standard concrete (environmental impact 6,662–10,785 KRW(5.02–8.12 USD), production cost 66,549–79,030 KRW(50.13–59.53 USD) so that it could be compared with the assessment concrete. As a result of selecting one ready-mix concrete business place in Korea and conducting a case study by comparing it with standard concrete, EI, CI, SI, and SCI, were analyzed to be 1.135, 1.134, 0.830, and 1.033, respectively, making it possible to quantitatively evaluate concrete sustainability.
Categorial Representation Anew: What are the Categorial Representative Contents that Make Knowledge Possible?
Authors: Spano Nicola 
Published: May 2024

AbstractIn the present article, I address the issue of categorial representative contents, which, according to Husserl’s phenomenological theory, make knowledge possible by providing fullness to intuitive categorial acts. First, I discuss Husserl’s assertion that he no longer approves of his theory of categorial representation developed in Logical Investigations. I argue that the influential interpretation of Husserl’s self-criticism advanced by Dieter Lohmar is unfortunately misleading, as Husserl does not actually claim that categorial representatives are contents of reflection belonging to the realm of inner sensibility, as Lohmar contends. After offering an alternative view of Husserl’s authentic position in Logical Investigations, I examine other possible reasons for his later dissatisfaction. These reasons relate to Husserl’s changing views on the role of categorial representatives in empty thinking acts—necessarily involved in cognition—and the necessity of spontaneously repeating the passive synthesis between the intentional matters that function as categorial representatives in the predicative activity yielding knowledge.
Online Bilateral Predictive Control for Time-Delayed Teleoperation of Snake-like Robots
Authors: Ebrahimian Mahdi , Pourmokhtari Mina , Ghiyasi Morteza , Yazdankhoo Behnam , Beigzadeh Borhan 
Published: May 2024

AbstractControlling the teleoperation of snake-like robots is challenging due to complex nonlinear dynamics and communication delays. This research proposes an online bilateral predictive control architecture to address these issues. This control structure is established by predicting environment force and the user’s future motion. The former uses a model-mediated approach by creating a virtual environment on the master side and the latter adopts an artificial neural network (ANN) for online operator’s motion prediction. The slave controller utilizes transmitted data from ANN to generate required backbone lengths, which are then transformed into the slave's local bending and torsional degrees of freedom through the inverse kinematics of the robot. Motion prediction is examined in two scenarios: when the ANN predicts the trained motions, and when it predicts a different motion. Simulation studies demonstrate that the proposed online bilateral predictive teleoperation structure successfully achieves real-time position synchronization and force feedback, by effectively bypassing communication delays.
Ti3C2Tx MXene/reduced graphene oxide/cellulose nanocrystal-coated cotton fabric electrodes for supercapacitor applications
Authors: Duygun İnal Kaan , Bedeloğlu Ayşe 
Published: May 2024

AbstractTextile-based electrodes are the most important components of wearable and portable supercapacitors. Ti3C2Tx MXene and reduced graphene oxide (rGO) have a great potential for the fabrication of high-performance textile supercapacitor electrodes. In this work, rGO was synthesized with the presence of cellulose nanocrystal (CNC) and Ti3C2Tx/rGO/CNC dispersions with different rGO/CNC contents were prepared. The plain-woven cotton fabrics were coated by homogenous Ti3C2Tx and Ti3C2Tx/rGO/CNC dispersions (5% wt., 15% wt., 30% wt. and 50% wt. rGO/CNC content) and characterized by X-ray Diffraction, Fourier Transform Infrared spectroscopy and Scanning Electron Microscopy techniques. The electrochemical characterization techniques showed that Ti3C2Tx/rGO/CNC loaded fabric electrodes up to 15 wt.% rGO/CNC content exhibited a high specific capacitance of 501.1 F g−1 at a current density of 0.3 A g−1 with low internal electrode resistance, and a good electrochemical stability. The results also showed that MXene/rGO/CNC based high-performance textile supercapacitor electrodes can be prepared by simple drop-casting method.
Graphical Abstract
ON THE REDUCTION OF SOME GENERAL RICCATI-TYPE EQUATIONS
Authors: Hetmaniok Edyta , Różański Michał , Smuda Adrian , Szymura Monika , Wituła Roman 
Published: May 2024

Abstract
The first part of the paper presents a unique reduction of some general Riccati-type differential equation to the general Bernoulli-type equation. Furthermore four special theorems on reduction of some Riccati-type differential equations are considered in the second part of the paper. A number of examples are also presented to illustrate the considered issues.
Evaluating feature attribution methods in the image domain
Authors: Gevaert Arne , Rousseau Axel-Jan , Becker Thijs , Valkenborg Dirk , De Bie Tijl , Saeys Yvan 
Published: May 2024

AbstractFeature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth in popularity and available methods, the objective evaluation of such attribution maps remains an open problem. Building on previous work in this domain, we investigate existing quality metrics and propose new variants of metrics for the evaluation of attribution maps. We confirm a recent finding that different quality metrics seem to measure different underlying properties of attribution maps, and extend this finding to a larger selection of attribution methods, quality metrics, and datasets. We also find that metric results on one dataset do not necessarily generalize to other datasets, and methods with desirable theoretical properties do not necessarily outperform computationally cheaper alternatives in practice. Based on these findings, we propose a general benchmarking approach to help guide the selection of attribution methods for a given use case. Implementations of attribution metrics and our experiments are available online (https://github.com/arnegevaert/benchmark-general-imaging).
Graphical abstract
Dimensional reduction formulae for spectral traces and Casimir energies
Authors: Strohmaier Alexander 
Published: May 2024

AbstractThis short letter considers the case of acoustic scattering by several obstacles in $$\mathbb {R}^{d+r}$$

R

d
+
r

for $$r,d \ge 1$$

r
,
d
≥
1

of the form $$\Omega \times \mathbb {R}^r$$

Ω
×

R

r

, where $$\Omega $$
Ω
is a smooth bounded domain in $$\mathbb {R}^d$$

R

d

. As a main result, a von Neumann trace formula for the relative trace is obtained in this setting. As a special case, we obtain a dimensional reduction formula for the Casimir energy for the massive and massless scalar fields in this configuration $$\Omega \times \mathbb {R}^r$$

Ω
×

R

r

per unit volume in $$\mathbb {R}^r$$

R

r

.
Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning
Authors: Luckett Patrick H. , Olufawo Michael O. , Park Ki Yun , Lamichhane Bidhan , Dierker Donna , Verastegui Gabriel Trevino , Lee John J. , Yang Peter , Kim Albert , Butt Omar H. , Chheda Milan G. , Snyder Abraham Z. , Shimony Joshua S. , Leuthardt Eric C. 
Published: May 2024

Abstract
Purpose
High-grade glioma (HGG) is the most common and deadly malignant glioma of the central nervous system. The current standard of care includes surgical resection of the tumor, which can lead to functional and cognitive deficits. The aim of this study is to develop models capable of predicting functional outcomes in HGG patients before surgery, facilitating improved disease management and informed patient care.

Methods
Adult HGG patients (N = 102) from the neurosurgery brain tumor service at Washington University Medical Center were retrospectively recruited. All patients completed structural neuroimaging and resting state functional MRI prior to surgery. Demographics, measures of resting state network connectivity (FC), tumor location, and tumor volume were used to train a random forest classifier to predict functional outcomes based on Karnofsky Performance Status (KPS < 70, KPS ≥ 70).

Results
The models achieved a nested cross-validation accuracy of 94.1% and an AUC of 0.97 in classifying KPS. The strongest predictors identified by the model included FC between somatomotor, visual, auditory, and reward networks. Based on location, the relation of the tumor to dorsal attention, cingulo-opercular, and basal ganglia networks were strong predictors of KPS. Age was also a strong predictor. However, tumor volume was only a moderate predictor.

Conclusion
The current work demonstrates the ability of machine learning to classify postoperative functional outcomes in HGG patients prior to surgery accurately. Our results suggest that both FC and the tumor’s location in relation to specific networks can serve as reliable predictors of functional outcomes, leading to personalized therapeutic approaches tailored to individual patients.
Flood vulnerability assessment in rural and urban informal settlements: case study of Karonga District and Lilongwe City in Malawi
Authors: Mwalwimba Isaac Kadono , Manda Mtafu , Ngongondo Cosmo 
Published: May 2024

AbstractFlood vulnerability assessment (FVA) informs the disaster risk reduction and preparedness process in both rural and urban areas. However, many flood-vulnerable regions like Malawi still lack FVA supporting frameworks in all phases (pre-trans-post disaster). Partly, this is attributed to lack of the evidence-based studies to inform the processes. This study was therefore aimed at assessing households’ flood vulnerability (HFV) in rural and urban informal areas of Malawi, using case studies of Traditional Authority (T/A) Kilupula of Karonga District (KD) and Mtandire Ward in Lilongwe City (LC). A household survey was used to collect data from a sample of 545 household participants. Vulnerability was explored through a combination of underlying vulnerability factors (UVFs)-physical-social-economic-environmental and cultural with vulnerability components (VCs)-exposure-susceptibility and resilience. The UVFs and VCs were agglomerated using binomial multiple logit regression model. Variance inflation factor (VIF) was used to check the multicollinearity of variables in the regression model. HFV was determined based on the flood vulnerability index (FVI). The data were analysed using Multiple Correspondence Analysis (MCA), artificial neural network (ANN) and STATA. The results reveal a total average score of high vulnerability (0.62) and moderate vulnerability (0.52) on MCA in T/A Kilupula of Karonga District and Mtandire Ward of Lilongwe City respectively. The FVI revealed very high vulnerability on enviroexposure factors (EEFs) ($$0.9$$

0.9

) in LC and$$(0.8$$

(
0.8

) in KD, followed by ecoresilience factors (ERFs) (0.8) in KD and$$(0.6$$

(
0.6

) in LC and physioexposure factors (PEFs) ($$0.5)$$

0.5
)

in LC besides 0.6 in KD for the combined UVFs and VCs. The study concludes that the determinants of households’ flood vulnerability are place settlement, low-risk knowledge, communication accessibility, lack of early warning systems, and limited access to income of household heads. The study recommends that an FVA framework should be applied to strengthen the political, legal, social, and economic responsibilities of government for building the resilience of communities and supporting planning and decision-making processes in flood risk management.
Evaluating the latest trends of Industry 4.0 based on LDA topic model
Authors: Ozyurt Ozcan , Özköse Hakan , Ayaz Ahmet 
Published: May 2024

AbstractThis study employs the Latent Dirichlet allocation method, a topic modeling technique, to reveal hidden patterns in Industry 4.0 research. The dataset comprises 8584 articles published in the Scopus database from 2011 to the end of 2022. The analysis categorized the articles into 12 distinct topics. The three most prominent topics identified are “Smart Cyber-Physical Systems,” “Digital Transformation and Knowledge Management” and “Data Science in Energy,” respectively. The findings from this topic modeling provide a comprehensive overview for researchers in the field of Industry 4.0, offering valuable insights into current trends and potential future research directions.