bluuebunny/crossref_metadata_2025_split huggingface dataset:
DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks
Authors: Panner Selvam Karthick , Brorsson Mats 
Published: August 2023

AbstractDeep Learning (DL) has developed to become a corner-stone in many everyday applications that we are now relying on. However, making sure that the DL model uses the underlying hardware efficiently takes a lot of effort. Knowledge about inference characteristics can help to find the right match so that enough resources are given to the model, but not too much. We have developed a DL Inference Performance Predictive Model (DIPPM) that predicts the inference latency, energy, and memory usage of a given input DL model on the NVIDIA A100 GPU. We also devised an algorithm to suggest the appropriate A100 Multi-Instance GPU profile from the output of DIPPM. We developed a methodology to convert DL models expressed in multiple frameworks to a generalized graph structure that is used in DIPPM. It means DIPPM can parse input DL models from various frameworks. Our DIPPM can be used not only helps to find suitable hardware configurations but also helps to perform rapid design-space exploration for the inference performance of a model. We constructed a graph multi-regression dataset consisting of 10,508 different DL models to train and evaluate the performance of DIPPM, and reached a resulting Mean Absolute Percentage Error (MAPE) as low as 1.9%.
Einleitung
Authors: Zimmermann Yves Clément 
Published: August 2023

ZusammenfassungDie COVID-19-Pandemie stellt die Tourismusbranche vor enorme Herausforderungen, da internationale Reisen, Inlandstourismus, Tagesausflüge und so unterschiedliche Bereiche wie Flugverkehr, Kreuzfahrten, Bustransfers, Cafés und Gästeführungen von einem Tag auf den anderen stark eingeschränkt oder gar untersagt wurden. Der Forschungsansatz besteht darin, aus einer multidisziplinären Perspektive von Tourismus und Entrepreneurship neue Erkenntnisse über die COVID-Krise als Auslöser für Digitalisierung und Geschäftsmodellinnovation zu gewinnen, wobei der Fokus auf eine Flusskreuzfahrtdestination gerichtet ist.
Krisen und Krisenmanagement im Kontext touristischer Flusskreuzfahrtdestinationen
Authors: Zimmermann Yves Clément 
Published: August 2023

ZusammenfassungZunächst werden die Besonderheiten der Tourismuswirtschaft skizziert, bevor ein umfassender Literaturüberblick zum Destinationsbegriff präsentiert wird. Nach der Erörterung des allgemeinen Begriffs der touristischen Destination und seiner spezifischen Anwendung in der Kreuzfahrtbranche wird ein erweitertes Modell für Flusskreuzfahrtdestinationen vorgestellt, in dem die Schlüsselakteure identifiziert werden. Abschließend wird der Fokus auf die Konzeptualisierung von Krisen in touristischen Destinationen und das damit in Zusammenhang stehende Krisenmanagement gelegt.
Geschäftsmodellinnovation und Digitalisierung im Kontext von Krisen im Tourismus
Authors: Zimmermann Yves Clément 
Published: August 2023

ZusammenfassungKapitel 3 beleuchtet Geschäftsmodelle und Geschäftsmodellinnovation sowie Krisen als Auslöser von ebendieser Innovation, als Forschungsobjekt dieser Arbeit. In diesem Kontext wird auch Digitalisierung, insbesondere touristischer Geschäftsmodelle, näher problematisiert. Die Übersicht der relevanten Konzepte konzentriert sich dabei, entsprechend dem Fokus vorliegender Arbeit, auf die Literatur zum Unternehmertum, strategischem Management und der Tourismuswissenschaft.
It is (not) always on Friday: inter-hospital patient transfers in orthopedic and trauma surgery
Authors: Roos Jonas , Loy Thomas , Ploeger Milena M. , Weinhold Leonie , Schmid Matthias , Mewes Moritz , Prangenberg Christian , Gathen Martin 
Published: August 2023

Abstract
Background
While inter-hospital transfers for patients who have suffered major trauma have been well investigated, patient flows for other injured patients, or cases with orthopedic complications, are rarely described. This study aims to analyze the affected collective and to show possible reasons, patterns, and pitfalls to optimize the process in future.

Materials and methods
In a prospective cohort study, all consecutive transfers to a Level I trauma center in Germany were documented and assessed. Patients suffering a major trauma were excluded. Data on the primary treating hospital, patient characteristics, and differences between emergency and elective surgery were analyzed.

Results
A total of 227 patients were included; 162 were injured, while 65 had suffered a complication after elective orthopedic surgery or had a complex orthopedic pathology.
The most common diagnoses leading to transfer were pathologies of the extremities (n = 62), pathologies of the spine (n = 50), and infections (n = 18). The main reasons stated by the transferring hospitals were a lack of expertise (137 cases) and a lack of capacity (43 cases). There was a significantly higher rate of transfers due to trauma (n = 162) than for orthopedic patients (n = 65), p < 0.0001.

Conclusion
There is currently no structured procedure or algorithm for transferring patients in orthopedics and trauma surgery.
Heavy Metal Concentrations of Beeswax (Apis mellifera L.) at Different Ages
Authors: Hassona Nadia M. , El-Wahed Aida A. Abd 
Published: August 2023

AbstractBeeswax is a naturally occurring product that worker bees produce. Beeswax is used in a variety of industries and pharmaceuticals. Humans utilize it extensively in cosmetics, medicinal formulations, and food manufacturing. Beeswax is an essential component of advanced contemporary beekeeping. Beekeepers, in particular, utilize significant amounts of beeswax to make beeswax comb foundation. In its natural condition, beeswax is white, but it becomes yellow then dark in color when it comes into touch with honey and pollen. The ongoing use of wax comb in bee activities (such as brood rearing, storage honey and bee bread), combined with environmental factors such as heavy metal and pesticide residues, resulted in a black color. Because of heavy metals can accumulate in wax for decades, beeswax can be a helpful tool for gathering data on hazardous contaminants in the environment. Because of their lipid-based chemical composition, beeswax combs act as a sink for numerous ambient pollutants as well as poisons when in the hive. The current study aims to measure nine heavy metals and important elements, including iron (Fe), chromium (Cr), zinc (Zn), copper (Cu), nickel (Ni), manganese (Mn), lead (Pb), cadmium (Cd), and cobalt (Co) in beeswax collected in the Behaira governorate region of Egypt between 2018 and 2022. Sample collection was conducted each year in triplicate. The samples were analyzed using an atomic absorption spectrophotometer. The quantity of metals in beeswax at different ages differed significantly. Depending on the wax age, Fe has the highest concentration in the range of 2.068 to 5.041 ppm, while Cd has the lowest ratio at 0.024 to 0.054 ppm from the first to fifth years old of comb age. The findings showed that as beeswax combs aged, the concentration of heavy metals rose. According to the study, it should gradually recycle beeswax combs each year and also adding new foundations.
Effects of non-tidal loading applied in VLBI-only terrestrial reference frames
Authors: Glomsda Matthias , Seitz Manuela , Bloßfeld Mathis , Seitz Florian 
Published: August 2023

AbstractWe investigate the impact of the reduction of non-tidal loading (NTL) in the computation of secular terrestrial reference frames (TRFs) from Very Long Baseline Interferometry (VLBI) observations. There are no conventional models for NTL in the geodetic community yet, but the Global Geophysical Fluid Center prepared a set of corresponding site displacements for the 2020 realizations of the International Terrestrial Reference System. We make use of these data, which comprise the total NTL consisting of non-tidal atmospheric, oceanic, and hydrological loading. The displacement series contain linear trends (i.e., offsets plus drifts), and since these affect the estimated linear station positions and the realized geodetic datum in a secular TRF, we remove the trends before reducing the NTL in our computations. The displacements are applied at two different levels of the parameter estimation process: the observation and the normal equation level. This way, we can analyze whether the latter offers a suitable approximation if the original observations have not been reduced by NTL. We find that the TRF statistics are hardly affected by the NTL. The largest impact is given for the secular motion of antennas with short observation time spans. The application level is basically irrelevant for the linear antenna positions, but it leads to differences in the rates of the jointly estimated Earth orientation parameters (EOPs). Secular TRF solutions and session solutions deviate with respect to the parameterization of the antenna coordinates, and thus also with respect to the correlations between the estimated antenna parameters and the EOPs. Due to this, the consistently estimated EOP series also show differences. However, for both solution types the reduction of the NTL leads to a change of the annual signal in the EOP series.
Learning-Informed Parameter Identification in Nonlinear Time-Dependent PDEs
Authors: Aarset Christian , Holler Martin , Nguyen Tram Thi Ngoc 
Published: August 2023

AbstractWe introduce and analyze a method of learning-informed parameter identification for partial differential equations (PDEs) in an all-at-once framework. The underlying PDE model is formulated in a rather general setting with three unknowns: physical parameter, state and nonlinearity. Inspired by advances in machine learning, we approximate the nonlinearity via a neural network, whose parameters are learned from measurement data. The latter is assumed to be given as noisy observations of the unknown state, and both the state and the physical parameters are identified simultaneously with the parameters of the neural network. Moreover, diverging from the classical approach, the proposed all-at-once setting avoids constructing the parameter-to-state map by explicitly handling the state as additional variable. The practical feasibility of the proposed method is confirmed with experiments using two different algorithmic settings: A function-space algorithm based on analytic adjoints as well as a purely discretized setting using standard machine learning algorithms.
An efficient multi-scale channel attention network for person re-identification
Authors: Luo Qian , Shao Jie , Dang Wanli , Geng Long , Zheng Huaiyu , Liu Chang 
Published: August 2023

AbstractAt present, occlusion and similar appearance pose serious challenges to the task of person re-identification. In this work, we propose an efficient multi-scale channel attention network (EMCA) to learn robust and more discriminative features to solve these problems. Specifically, we designed a novel cross-channel attention module (CCAM) in EMCA and placed it after different layers in the backbone. The CCAM includes local cross-channel interaction (LCI) and channel weight integration (CWI). LCI focuses on both the maximum pooling features and the average pooling features to generate channel weights through convolutional layers, respectively. CWI combines the two channel weights to generate richer and more discriminant channel weights. Experiments on four popular person Re-ID datasets (Market-1501, DukeMTMC-ReID, CUHK-03 (detected) and MSMT17) show that the performance of our EMCA is consistently significantly superior to the existing state-of-the-art methods.
Ultra-crystalline pyroclastic deposits and rhyolitic lavas controlled by crystal mushes: insights from the Acoculco Caldera Complex, México
Authors: Boijseauneau-López Mario E. , Sosa-Ceballos Giovanni , Farfán Gabriela A. , Macías José Luis , Andrews Benjamin J. 
Published: August 2023

AbstractThe Acoculco Caldera Complex (ACC), located in eastern Mexico, began its activity during the Pleistocene ~ 2.7 Ma. One of the most relevant and largest rhyolitic eruption in the complex, the Piedras Encimadas Ignimbrite (PEI), occurred during the late post-caldera phase at ~ 1.2 Ma. This ignimbrite is unique with respect to the other caldera products and other contemporaneous ignimbrites in the Trans-Mexican Volcanic Belt (TMVB) because of its ultra-high crystallinity and the absence of pumice fragments. The PEI is made almost entirely of crystals where the main constituents are k-feldspars and silica polymorphs that range from ≤ 5 µm to tens of centimeters in size. XRD on bulk rock, geochemical modeling, FTIR, Raman, and EPMA analyses were carried out in all mineral phases to assess the origin and the causes of high crystallinity within the PEI. We interpret the high crystallinity on the basis of magmatic crystallization of a magma body that was remobilized and altered by post-depositional hydrothermal alteration processes. We suggest that ACC rhyolites are geochemically influenced by at least one crystal mush established during the Pleistocene. We suggest that the PEI could be the result of an erupted crystal mush (melt + crystals), or a cumulate, or an ancient and crystallized reservoir generated after the first ACC collapse due to intrusion or underplating of mafic hot magmas. Extensional episodes within the ACC facilitated the ascent of mafic magmas. This interaction increased the liquid fraction of the mush through partial melting/crystal dissolution, generating a drop in density and viscosity in the mush, thus triggering eruption. The PEI provides evidences for an association between the geochemically-diverse ACC rhyolites with the complex interaction between mafic transitional alkaline magmas and a crustal mush system, promoted by continuous changes in the stress field during the Pleistocene.
Development and validation of nomograms for predicting the risk of central lymph node metastasis of solitary papillary thyroid carcinoma of the isthmus
Authors: Li Yonghao , Gao Xuefei , Guo Tiantian , Liu Jing 
Published: August 2023

Abstract
Background
This study was conducted to develop nomograms and validate them by assessing risk factors for the development of central lymph node metastasis (CLNM) in patients with solitary papillary thyroid carcinoma of the isthmus (PTCI) for predicting the probability of CLNM.

Methods
Demographic and clinicopathological variables of patients with solitary papillary thyroid carcinoma (PTC) from May 2018 to May 2023 at the First Hospital of Shanxi Medical University were retrospectively analyzed, and the lobar group and the isthmus group were divided according to tumor location. Patients with the same sex, age difference of less than 3 years, and equal gross tumor diameter were selected from the lobar group and compared with the paraisthmic tumor group. Independent risk factors were determined using univariate and multivariate logistic regression analysis. On this basis, clinical predictive nomograms were developed and validated.

Results
Clinical data from 326 patients with solitary PTCI and 660 cases of solitary lobar PTC were used for analysis in our study. The incidence of solitary tumors CLNM located in the median isthmus, paracentral isthmus, and lobes was 69.8%, 40.9%, and 33.6%, respectively. Statistical analysis revealed that gender, age, isthmus location, maximum nodal diameter, the presence of possible CLNM in advance on preoperative ultrasound, chronic lymphocytic thyroiditis, and the lymphocyte/monocyte ratio were independent risk factors for preoperative CLNM in patients with solitary PTCI. Age, isthmus location, chronic lymphocytic thyroiditis, gross tumor diameter, presence of intraoperative extrathyroidal extension, and presence of metastasis in the Delphian lymph node on frozen section were independent risk factors for intraoperative CLNM. The concordance indices of nomograms for preoperative and intraoperative are 0.871 and 0.894 in the training set and 0.796 and 0.851 in the validation set, calibration curve and decision curve analysis also demonstrated the strong reliability and clinical applicability of this clinical prediction model.

Conclusion
In this study, we concluded that solitary PTCI is more aggressive compared to solitary lobar PTC, and we constructed nomograms and risk stratification to accurately identify patients with solitary PTCI who are at high risk of developing CLNM, which will help clinicians in personalized decision making.
Local uniqueness of blow-up solutions for critical Hartree equations in bounded domain
Authors: Squassina Marco , Yang Minbo , Zhao Shunneng 
Published: August 2023

AbstractIn this paper we are interested in the following critical Hartree equation $$\begin{aligned} {\left\{ \begin{array}{ll} -\Delta u =\displaystyle {\Big (\int _{\Omega }\frac{u^{2_{\mu }^*} (\xi )}{|x-\xi |^{\mu }}d\xi \Big )u^{2_{\mu }^*-1}}+\varepsilon u,~~~\text {in}~\Omega ,\\ u=0,~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\text {on}~\partial \Omega , \end{array}\right. } \end{aligned}$$

-
Δ
u
=

(

∫
Ω

u

2

μ

∗

(
ξ
)

|
x
-
ξ
|

μ

d
ξ

)

u

2

μ

∗

-
1

+
ε
u
,

in

Ω
,

u
=
0
,

on

∂
Ω
,

where $$N\ge 4$$

N
≥
4

, $$0<\mu \le 4$$

0
<
μ
≤
4

, $$\varepsilon >0$$

ε
>
0

is a small parameter, $$\Omega $$
Ω
is a bounded domain in $$\mathbb {R}^N$$

R

N

, and $$2_{\mu }^*=\frac{2N-\mu }{N-2}$$

2

μ

∗

=

2
N
-
μ

N
-
2

is the critical exponent in the sense of the Hardy–Littlewood–Sobolev inequality. By establishing various versions of local Pohozaev identities and applying blow-up analysis, we first investigate the location of the blow-up points for single bubbling solutions to above the Hartree equation. Next we prove the local uniqueness of the blow-up solutions that concentrates at the non-degenerate critical point of the Robin function for $$\varepsilon $$
ε
small.
Biomechanical behavior of implants with different diameters in relation to simulated bone loss— an in vitro study
Authors: Graf Tobias , Güth Jan-Frederik , Schweiger Josef , Erdelt Kurt-Jürgen , Edelhoff Daniel , Stimmelmayr Michael 
Published: August 2023

Abstract
Objectives
Bone resorption around implants could influence the resistance of the implant abutment complex (IAC). The present in vitro study aimed to assess the stability to static fatigue of implants presenting different levels of bone losses and diameters.

Materials and methods
Ninety implants with an internal conical connection with 3 different implant diameters (3.3 mm (I33), 3.8 mm (I38), and 4.3 mm (I43)) and 3 simulated bone loss settings (1.5 mm (I_15), 3.0 mm (I_30), and 4.5 mm (I_45) (n = 10)) were embedded and standard abutments were mounted. All specimens were artificially aged (1,200,000 cycles, 50 N, simultaneous thermocycling) and underwent subsequently load-to-fracture test. For statistical analysis, Kolmogorov–Smirnov test, Kruskal–Wallis test, and Mann–Whitney U test (p < 0.05) were applied.

Results
All test specimens withstood the artificial aging without damage. The mean failure values were 382.1 (± 59.2) N (I3315), 347.0 (± 35.7) N (I3330), 315.9 N (± 30.9) (I3345), 531.4 (± 36.2) N (I3815), 514.5 (± 40.8) N (I3830), 477.9 (± 26.3) N (I3845), 710.1 (± 38.2) N (I4315), 697.9 (± 65.2) N (I4330), and 662.2 N (± 45.9) (I4345). The stability of the IACs decreased in all groups when bone loss inclined. Merely, the failure load values did not significantly differ among subgroups of I43.

Conclusions
Larger implant diameters and minor circular bone loss around the implant lead to a higher stability of the IAC. The smaller the implant diameter was, the more the stability was affected by the circumferential bone level.

Clinical relevance
Preserving crestal bone level is important to ensure biomechanical sustainability at implant systems with a conical interface. It seems sensible to take the effect of eventual bone loss around implants into account during implant planning processes and restorative considerations.
Mental disorders in former street-working boys
Authors: Taib Nezar Ismet , Arinell Hans , Öster Caisa , Ramklint Mia 
Published: August 2023

AbstractThe continuity of mental disorders in street-working children is rarely studied. This study therefore investigated homotypic continuity, recurrence of the same disorder, and heterotypic continuity, when a new disorder follows on the previous, of mental disorders from childhood to adulthood in street-working boys from Duhok City, Kurdistan Region of Iraq. Mental disorders were assessed by structured diagnostic interviews in 40 street-working boys in 2004–2005 and again in 2021, when the participants’ mean ages were 12.1 (SD 1.8) and 29.7 (SD 2.3), respectively. Mental disorders were common; 24 participants (60%) satisfied the criteria for at least one diagnosis at baseline and 28 (70%) at follow-up. Comorbidity increased from 1.2 (SD 1.4) disorders initially to 2.5 (SD 1.8) at follow-up. Only anxiety disorders showed homotypic continuity. Depressive disorders exhibited the greatest increase over time whereas externalizing disorders exhibited a decreasing tendency. The number of mental disorders in adulthood was related to the number of mental disorders in childhood but not to the number of childhood traumas experienced, having previously worked for more than two hours per day, having worked for over two years on the streets, or having at least one dead parent as a child. Parental ratings on the Child Behaviour Check List (CBCL) from childhood were also unrelated to the number of adult disorders. More longitudinal studies with bigger samples of both genders are needed to fully evaluate the continuity of mental disorders in street-working children and to determine whether the number of mental disorders in childhood is a stronger predictor of being mentally disordered in adult life than psychosocial risk factors or experiences of internalizing or externalizing symptoms in childhood.
Sensitivity of TOPSIS ranks to data normalization and objective weights on the example of digital development
Authors: Bánhidi Zoltán , Dobos Imre 
Published: August 2023

AbstractThe European Commission's Digital Economy and Social Index (DESI) is a composite index that aims to measure the state of digital transformation in the European Union (EU) and its member states based on five principal dimensions. For each dimension, the Commission assigns predefined weights to determine the ranking of countries. The following paper ranks the member states using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is based on two data transformations. First, it normalizes the data according to a chosen procedure and second, it assigns weights to the criteria. The aim of the study is to evaluate how the countries of the European Union can be ranked according to the five principal dimensions of the DESI but using objective weights instead of the arbitrary predefined weights of the European Commission, testing the robustness of the ranking and its sensitivity to the methods of normalization and weighting.