bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation des Projekts „TeleCOVID Hessen“ nach einjährigem Betrieb
Authors: Brandt Jenny , Albert Michael , Gramminger Steffen , Greim Clemens A , Khaladj Nawid , Kolb Cornelia , Risch Ben Michael , Sander Michael , von Wagner Michael , Zacharowski Kai , Muellenbach Ralf M. , Hoffmann Felix 
Published: March 2023

Zusammenfassung
Hintergrund
Die hohe Fallzahl von intensivpflichtigen COVID-19-Patienten konfrontierte Krankenhäuser weltweit mit unerwarteten Herausforderungen. Dadurch gewann die strukturierte Vernetzung von Krankenhäusern eine besondere Bedeutung. Die teleintensivmedizinische Konsil- und Austauschplattform TeleCOVID wurde entwickelt, um die intensivmedizinische Versorgungsqualität zu verbessern.

Fragestellung
Ziel der vorliegenden Studie war die Erhebung des Nutzungsverhaltens und der Nutzererfahrung der Anwender von TeleCOVID. Zusätzlich wurde untersucht, welche Implikationen sich für die Weiterentwicklung der telemedizinischen Anwendung ergeben.

Material und Methoden
Im Mai 2022 wurde eine Anwenderbefragung mittels eines Online-Fragebogens durchgeführt. Die Distribution erfolgte über das Hessische Ministerium für Soziales und Integration (HMSI). Dabei wurden alle 135 Krankenhäuser Hessens per E‑Mail angeschrieben und zur Teilnahme an der Studie eingeladen.

Ergebnisse
Die Studie hat gezeigt, dass TeleCOVID hauptsächlich für Verlegungsanfragen genutzt wurde, gefolgt vom Bedarf einer Therapiebesprechung ohne Verlegungsanfrage. Zudem zeigte sich, dass die Anwender besonders die Möglichkeit einer datenschutzkonformen und strukturierten Übermittlung von Patientendaten als vorteilhaft bewerten. Die fehlende Anbindung an das Krankenhausinformationssystem (KIS), der erhöhte Zeitaufwand durch den Log-in-Prozess sowie die eingeschränkte Primärerreichbarkeit der Ansprechpartner wurden kritisiert.

Diskussion
Bei einer Weiterentwicklung der App sollten die Anbindung an das Krankenhausinformationssystem sowie eine Reduktion des Zeitaufwands bei der Anwendung erfolgen. Weiterhin sollten eine interoperable Dateninfrastruktur und die Einführung eines Webclient angestrebt werden. Eine Weiterführung und Ausweitung der App auf andere Indikationsbereiche ist empfehlenswert.
Fifty percent of patients undergoing periacetabular osteotomy for hip dysplasia showed normal findings upon neonatal ultrasound screening
Authors: Haertlé Marco , Hawi Harun , Windhagen Henning , Becker Nils , Ahmad Sufian S. 
Published: March 2023

AbstractDevelopmental dysplasia of the hip (DDH) is characterized by the pathomorphology of inadequate acetabular coverage of the femoral head leading to increased loading of the articular surface and acetabular rim. If left untreated, this ultimately leads to osteoarthritis. Germany introduced a nationwide universal ultrasound screening program for all newborn infants in 1996. Subsequently, the incidence of undiagnosed hip dislocation was significantly reduced. In this consecutive series of patients who underwent periacetabular osteotomy for the treatment of symptomatic dysplasia of the hip between October 2014 and October 2022 data regarding the U3 screening examination were analyzed. The data included whether the examination was performed, whether the findings were positive or negative, whether the patients underwent any form of treatment in the case of a positive finding and whether a control X‑ray was performed. This study provides evidence that acetabular undercoverage cannot be ruled out based on a normal finding in ultrasonography screening. Furthermore, the study also shows that residual dysplasia may persist despite attempts of conservative treatment.
Graphic abstract
Comparison of two hybrid sentinel node tracers: indocyanine green (ICG)-99mTc-nanocolloid vs. ICG-99mTc-nanoscan from a nuclear medicine and surgical perspective
Authors: Vreeburg Manon T. A. , Azargoshasb Samaneh , van Willigen Danny , Molenaar Tom , van Oosterom Matthias N. , Buckle Tessa , Slof Leon J. , Klop Martin , Karakullukcu Baris , Donswijk Maarten , van der Poel Henk G. , van Leeuwen Fijs W. B. , Brouwer Oscar R. , Rietbergen Daphne D. D. 
Published: March 2023

Abstract
Background
Lymph node (LN) metastasis is a relevant predictor for survival in patients with a.o. penile cancer (PeCa), malignant melanoma. The sentinel node (SN) procedure comprises targeted resection of the first tumour-draining SNs. Here, the hybrid tracer indocyanine green (ICG)-99mTc-nanocolloid has been used for several years to combine optical and nuclear detection. Recently, the resource of the nanocolloid precursor stopped production and the precursor was replaced by a different but chemically comparable colloid, nanoscan. Our aim was to study the performance of ICG-99mTc-nanoscan compared to ICG-99mTc-nanocolloid from a nuclear and surgical perspective.

Methods
Twenty-four patients with either PeCa or head-and-neck (H&N) melanoma and scheduled for a SN procedure were included. The initial group (n = 11) received ICG-99mTc-nanocolloid until no longer available; the second group (n = 13) received ICG-99mTc-nanoscan. Tracer uptake was assessed on lymphoscintigraphy and single-photon emission (SPECT). Intraoperatively, SNs were identified using gamma tracing and fluorescence imaging. Ex vivo (back-table) measurements were conducted to quantify the fluorescence emissions. Chemical analysis was performed to compare the ICG assembly on both precursors.

Results
The mean tracer uptake in the SNs was similar for ICG-99mTc-nanocolloid (2.2 ± 4.3%ID) and ICG-99mTc-nanoscan (1.8 ± 2.6%ID; p = 0.68). 3 SNs (interquartile range (IQR) 3–4) were detected on lymphoscintigraphy in PeCa patients receiving ICG-99mTc-nanoscan compared to 2 SNs (IQR 2–3) in PeCa patients receiving ICG-99mTc-nanocolloid (p = 0.045), no differences were observed in H&N patients. Back-table measurements of resected SNs revealed a lower total fluorescence intensity in the ICG-99mTc-nanoscan group (24*109 arbitrary units (A.U) IQR 1.6*109–14*109 in the ICG-99mTc-nanocolloid group versus 4.6*109 A.U. IQR 2.4*109–42*109 in the ICG-99mTc-nanoscan group, p = 0.0054). This was consistent with a larger degree of “stacked” ICG observed in the nanoscan formulation. No tracer-related adverse events were reported.

Conclusions
Based on this retrospective analysis, we can conclude that ICG-99mTc-nanoscan has similar capacity for SN identification as ICG-99mTc-nanocolloid and can safely be implemented in SN procedures.
A disposable electrochemical sensor based on single-walled carbon nanotubes for the determination of anticancer drug dasatinib
Authors: Hassanpour Soodabeh , Petr Jan 
Published: March 2023

AbstractDasatinib is an anticancer drug that treats acute lymphoblastic leukemia, chronic myelogenous leukemia, and prostate cancer with several side effects. In this research, we suggest nanoparticle-modified screen-printed electrodes (SPCEs) as disposable electrochemical sensors for fast quantification of dasatinib in pharmaceutical formulations. Carbon nanotubes, single-walled carbon nanotubes (SWCNT), graphene, and graphene oxide-modified SPCEs were characterized by scanning electron microscopy. The study also recommends SWCNT-modified SPCEs as the best-performing electrode for determining dasatinib, demonstrating an excellent boosting effect on the oxidation response of dasatinib. This was accomplished using the square-wave voltammetry method. After optimization of the pH condition, pH 5.0 Britton–Robinson buffer, SWCNT-modified SPCEs demonstrated 94% recovery with optimum electro-oxidation activity. The oxidation currents exhibited linear relation with dasatinib concentration in the 0.1–100 µM. Based on the results, a limit of detection of 0.06 µM was obtained in the standard solution. The SWCNT-modified SPCEs have been applied to analyze dasatinib in pharmaceutical tablet samples. The demonstrated performance beats all comparable standard analytical tools and presumably may be used for general drug quantitation in pharmaceutical tablets.
Graphical abstract
An experimental study of fault slips under unloading condition in coal mines
Authors: Zhang Ningbo , Zhang Zong-Xian , Shan Renliang , Qi Qingxin , Zhao Shankun , Sun Zhongxue , Guo Yanshuang 
Published: March 2023

AbstractTo investigate the mechanism of fault slips in coal mines, a biaxial shear experiment was carried out under unloading condition based on the fault F16 in Yima city, China. Two rock samples were used in the experiment and each sample was composed of two triangular sandstone blocks which were put together to simulate the fault. One rock sample was used to do fault slip tests and it was called slip-test sample. The other sample for comparison with the slip-test one was untested, and it was named non-slip-test sample. During the biaxial shear experiment of the slip-test sample, normal and shear strains near the fault, acoustic emission (AE) signals, and the sliding displacement were measured. After the experiment, microscopic profiles of fault surfaces of both rock samples were examined by scanning electron microscope (SEM). In addition, a numerical simulation was conducted to model the slip of the fault F16. The results indicate that: (1) three fault slips occurred during the biaxial shear experiment, and the shear stress, normal and shear strains in the first slip showed the maximum variation among three slips; (2) Shear strains near the two ends of the fault had a more significate variation than that in the middle part, and the typical trend of shear strains was first dropping, then increasing rapidly, and then falling slowly to a specific value during the first slip; (3) The first slip had the largest sliding displacement of 29.89 $$\mu m$$

μ
m

, and in the first slip three phases including slow slip, main shock and aftershock occurred based on AE monitoring results. (4) On the fault surface of non-slip-test sample, microstructures such as bulges, voids and veins were ubiquitous and notable, making the fault surface much rough, while similar microstructures were few and the fault surface of the slip-test sample was flattened after fault slips; (5) The slipping direction in the shallow part and deep part of the fault F16 were opposite during mining.
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study
Authors: Gottlich Harrison C. , Gregory Adriana V. , Sharma Vidit , Khanna Abhinav , Moustafa Amr U. , Lohse Christine M. , Potretzke Theodora A. , Korfiatis Panagiotis , Potretzke Aaron M. , Denic Aleksandar , Rule Andrew D. , Takahashi Naoki , Erickson Bradley J. , Leibovich Bradley C. , Kline Timothy L. 
Published: March 2023

AbstractThe aim of this study is to investigate the use of an exponential-plateau model to determine the required training dataset size that yields the maximum medical image segmentation performance. CT and MR images of patients with renal tumors acquired between 1997 and 2017 were retrospectively collected from our nephrectomy registry. Modality-based datasets of 50, 100, 150, 200, 250, and 300 images were assembled to train models with an 80–20 training-validation split evaluated against 50 randomly held out test set images. A third experiment using the KiTS21 dataset was also used to explore the effects of different model architectures. Exponential-plateau models were used to establish the relationship of dataset size to model generalizability performance. For segmenting non-neoplastic kidney regions on CT and MR imaging, our model yielded test Dice score plateaus of $$0.93\pm 0.02$$

0.93
±
0.02

and $$0.92\pm 0.04$$

0.92
±
0.04

with the number of training-validation images needed to reach the plateaus of 54 and 122, respectively. For segmenting CT and MR tumor regions, we modeled a test Dice score plateau of $$0.85\pm 0.20$$

0.85
±
0.20

and $$0.76\pm 0.27$$

0.76
±
0.27

, with 125 and 389 training-validation images needed to reach the plateaus. For the KiTS21 dataset, the best Dice score plateaus for nn-UNet 2D and 3D architectures were $$0.67\pm 0.29$$

0.67
±
0.29

and $$0.84\pm 0.18$$

0.84
±
0.18

with number to reach performance plateau of 177 and 440. Our research validates that differing imaging modalities, target structures, and model architectures all affect the amount of training images required to reach a performance plateau. The modeling approach we developed will help future researchers determine for their experiments when additional training-validation images will likely not further improve model performance.
Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence
Authors: Aguirre-Correa Francisca , de Arellano Jordi Vilà-Guerau , Ronda Reinder , Lobos-Roco Felipe , Suárez Francisco , Hartogensis Oscar 
Published: March 2023

AbstractObservations in the Altiplano region of the Atacama Desert show that the atmospheric boundary layer (ABL) suddenly collapses at noon. This rapid decrease occurs simultaneously to the entrance of a thermally driven, regional flow that causes a rise in wind speed and a marked temperature decrease. We identify the main drivers that cause the observed ABL collapse by using a land–atmosphere model. The free atmosphere lapse rate and regional forcings, such as advection of mass and cold air as well as subsidence, are first estimated by combining observations from a comprehensive field campaign and a regional model. Then, to disentangle the ABL collapse, we perform a suite of numerical experiments with increasing level of complexity: from only considering local land–atmosphere interactions, to systematically including the regional contributions of mass advection, cold air advection, and subsidence. Our results show that non-local processes related to the arrival of the regional flow are the main factors explaining the boundary-layer collapse. The advection of a shallower boundary layer ($$\approx -250$$

≈
-
250

m h$$^{-1}$$

-
1

at noon) causes an immediate decrease in the ABL height (h) at midday. This occurs simultaneously with the arrival of a cold air mass, which reaches a strength of $$\approx -4$$

≈
-
4

K h$$^{-1}$$

-
1

at 1400 LT. These two external forcings become dominant over entrainment and surface processes that warm the atmosphere and increase h. As a consequence, the ABL growth is capped during the afternoon. Finally, a wind divergence of $$\approx 8 \times 10^{-5}$$

≈
8
×

10

-
5

s$$^{-1}$$

-
1

contributes to the collapse by causing subsidence motions over the ABL from 1200 LT onward. Our findings show the relevance of treating large and small-scale processes as a continuum to be able to understand the ABL dynamics.
Phytoaccumulation of trace elements (As, Cd, Co, Cu, Pb, Zn) by Nicotiana glauca and Euphorbia segetalis growing in a Technosol developed on legacy mine wastes (Domingo Rubio wetland, SW Spain)
Authors: Barba-Brioso C. , Hidalgo P. J. , Fernández-Landero S. , Giráldez I. , Fernández-Caliani J. C. 
Published: March 2023

AbstractSulfidic mine wastes have the potential to generate acid mine drainage (AMD) and release acid leachates containing high levels of iron, sulfate and potentially toxic elements (PTEs). Soils receiving AMD discharges are generally devoid of vegetation. Only a few metal-tolerant plant species can survive under such adverse soil conditions. This work investigates two plant species, Nicotiana glauca and Euphorbia segetalis, that have successfully colonized an AMD-impacted wetland area in south-western Spain. The uptake of PTEs from the soil by roots and their transfer and accumulation in the above-ground biomass were quantified. Results showed that these pioneer plants grew in patches of neutral soil within the wasteland despite the high concentrations of PTEs in the rhizosphere soil (up to: 613 mg kg−1 As, 18.7 mg kg−1 Cd, 6370 mg kg−1 Cu, 2210 mg kg−1 Pb and 5250 mg kg−1 Zn). The target organs of As, Cu and Pb accumulation were: root > leaf > stem in N. glauca, and root > stem > leaf in E. segetalis. Zinc and Cd showed a significant decrease in roots relative to aerial parts of N. glauca, and Co was preferentially partitioned in stems of N. glauca and leaves of E. segetalis. The soil–plant transfer coefficient values of PTEs in all parts of both plants were well below unity with the only exception of Cd in leaves of N. glauca (1.254), suggesting that roots acted as a barrier limiting the uptake of PTEs by plants. Interestingly, under the same soil conditions, N. glauca absorbed Cd in considerable proportions from soil and accumulated it in its leaves, while E. segetalis was not effective in transferring PTEs from roots shoots except for Co. In conclusion, soil pH and plant-related factors greatly influence the stabilization of PTE in the rhizospheric soil and produce inconsistencies in PTE phytoavailability. The findings of this study provide criteria to assist in natural remediation in other legacy contaminated sites worldwide.
Review of phenotypic response of diatoms to salinization with biotechnological relevance
Authors: Stenger-Kovács C. , Béres V. B. , Buczkó K. , Al-Imari J. T. , Lázár D. , Padisák J. , Lengyel E. 
Published: March 2023

AbstractSalinization is one of the main global environmental issues of the Anthropocene with various consequences for aquatic ecosystems. To understand diatom ecology and evolution from this perspective without knowing the impact of salinity on their physiological and molecular mechanisms is unimaginable. For this reason, we collected the existing knowledge about the intracellular and morphological changes of diatoms induced by salinity. The available studies revealed that salt stress can significantly affect, among others, their photosynthetic activities, pigment contents, growth rate, metabolism, and toxin synthesis. Acclimation capability of diatoms is apparent: they can adjust turgor pressure and ion homeostasis and produce compatible solutes for osmoprotection applying a number of biochemical pathways and complementary mechanisms. Morphological changes like shape resistance, post-auxospore formation, and several micro- and nano-sized sometimes species-specific variations can also be explained by the increasing salinity. Furthermore, abnormal forms indicate the extreme and complex effect of salinity and collateral stress factors. Their salinity tolerance threshold is species specific, which can be exploited by biotechnology. According to studies collected for this review, it is obvious that diatoms have various phenotypic responses to salinity; however, knowledge about their molecular background and long-term adaptation of the species are completely missing.
Ulva as potential stimulant and attractant for a valuable sea urchin species: a chemosensory study
Authors: Addis Pierantonio , Pasquini Viviana , Angioni Alberto , Malavasi Veronica , Moccia Davide , Solari Paolo 
Published: March 2023

AbstractThe green seaweed Ulva is close to becoming popular due to its suitability as potential feedstock production and for food items. However, there is a general lack of studies on the aversion or acceptability of this alga by marine organisms, particularly on its role as a chemoattractant and/or phagostimulant activity. Here we tested the effect of Ulva compressa and other biochemicals as potential chemostimulating compounds for a valuable sea urchin species, Paracentrotus lividus, selected as model species for our tests. Sea urchins’ chemical sensitivity was estimated by analysing movements of spines, pedicellariae, tube feet, and individual locomotion using an innovative bioassay. Our results showed that all forms of Ulva (fresh, defrosted, and fragmented) resulted in an effective stimulus, evoking in sea urchins strong responses with robust activation of spines and tube feet, where the defrosted one was the most stimulating. Among the amino acids tested, glycine, alanine, and glutamine produced a significant response, highlighting for the latter a concentration–response relationship. Sea urchins responded to glucose, not to fructose and sucrose. Spirulina resulted as the most effective stimulus, acting in a dose-dependent manner. Major results indicate the role of Ulva as a chemostimulant and strongly attractant for such herbivore species. From an applied point of view, the presence of potential Ulva’s feed-related compounds, acting as chemoattractants (to reduce food searching time) and/or feeding stimulants (to stimulate ingestion), would improve the several applications of Ulva in the formulation of the feeds for sustainable aquaculture.
Establishment of a novel glycolysis-immune-related diagnosis gene signature for endometriosis by machine learning
Authors: Chen Qizhen , Jiao Yufan , Yin Zhe , Fu Xiayan , Guo Shana , Zhou Yuhua , Wang Yanqiu 
Published: March 2023

Abstract
Purpose
The objective of this study was to investigate the key glycolysis-related genes linked to immune cell infiltration in endometriosis and to develop a new endometriosis (EMS) predictive model.

Methods
A training set and a test set were created from the Gene Expression Omnibus (GEO) public database. We identified five glycolysis-related genes using least absolute shrinkage and selection operator (LASSO) regression and the random forest method. Then, we developed and tested a prediction model for EMS diagnosis. The CIBERSORT method was used to compare the infiltration of 22 different immune cells. We examined the relationship between key glycolysis-related genes and immune factors in the eutopic endometrium of women with endometriosis. In addition, Gene Ontology (GO)-based semantic similarity and logistic regression model analyses were used to investigate core genes. Reverse real-time quantitative PCR (RT-qPCR) of 5 target genes was analysed.

Results
The five glycolysis-related hub genes (CHPF, CITED2, GPC3, PDK3, ADH6) were used to establish a predictive model for EMS. In the training and test sets, the area under the curve (AUC) of the receiver operating characteristic curve (ROC) prediction model was 0.777, 0.824, and 0.774. Additionally, there was a remarkable difference in the immune environment between the EMS and control groups. Eventually, the five target genes were verified by RT-qPCR.

Conclusion
The glycolysis-immune-based predictive model was established to forecast EMS patients’ diagnosis, and a detailed comprehension of the interactions between endometriosis, glycolysis, and the immune system may be vital for the recognition of potential novel therapeutic approaches and targets for EMS patients.
MM/GBSA prediction of relative binding affinities of carbonic anhydrase inhibitors: effect of atomic charges and comparison with Autodock4Zn
Authors: Taylor Mackenzie , Ho Junming 
Published: March 2023

AbstractCarbonic anhydrase is an attractive drug target for the treatment of many diseases. This paper examines the ability of end-state MM/GBSA methods to rank inhibitors of carbonic anhydrase in terms of their binding affinities. The MM/GBSA binding energies were evaluated using different atomic charge schemes (Mulliken, ESP and NPA) at different levels of theories, including Hartree–Fock, B3LYP-D3(BJ), and M06-2X with the 6–31G(d,p) basis set. For a large test set of 32 diverse inhibitors, the use of B3LYP-D3(BJ) ESP atomic charges yielded the strongest correlation with experiment (R2 = 0.77). The use of the recently enhanced Autodock Vina and zinc optimised AD4Zn force field also predicted ligand binding affinities with moderately strong correlation (R2 = 0.64) at significantly lower computational cost. However, the docked poses deviate significantly from crystal structures. Overall, this study demonstrates the applicability of docking to estimate ligand binding affinities for a diverse range of CA inhibitors, and indicates that more theoretically robust MM/GBSA simulations show promise for improving the accuracy of predicted binding affinities, as long as a validated set of parameters is used.
Graphical abstract