bluuebunny/crossref_metadata_2025_split huggingface dataset:
Klinische Ergebnisse der Ellenbogentotalendoprothetik nach Therapieversagen bei Monteggia-like-Verletzungen
Authors: Hockmann Jan , Ott Nadine , Leschinger Tim , Müller Lars Peter , Hackl Michael 
Published: June 2023

Zusammenfassung
Hintergrund
Monteggia-like-Frakturen (MLF) sind komplexe Verletzungen mit hohen Komplikationsraten und häufig unbefriedigenden funktionellen Ergebnissen. Bei posttraumatischer Gelenkdestruktion nach MLF stellt die Implantation einer Ellenbogentotalendoprothese (EB-TEP) oftmals die einzige Option zum Erhalt der Funktionalität des Ellenbogens dar. Diese Fallserie beleuchtet die klinischen Ergebnisse der EB-TEP nach gescheiterter Behandlung einer MLF.

Methoden
Alle Patienten mit EB-TEP-Implantation (2017–2022) nach Therapieversagen bei MLF wurden retrospektiv eingeschlossen. Die Komplikationen sowie Revisionen vor und nach EB-TEP und das funktionelle Ergebnis, bemessen mittels Broberg and Morrey-Score, wurden evaluiert.

Ergebnisse
In diese Studie wurden 9 Patienten mit einem Alter zum Zeitpunkt der EB-TEP-Implantation von 68 (±7; 54 bis 79) Jahren inkludiert. Der Nachbetrachtungszeitraum betrug 12 (±9; 2 bis 27) Monate. Die wesentlichen Ursachen, die zur Gelenkdestruktion führten, waren die chronische Osteomyelitis (44,4 %), die knöcherne Instabilität durch einen Processus-coronoideus-Defekt (33,3 %) bzw. einen kombinierten Processus-coronoideus- und Radiuskopfdefekt (22,2 %) sowie die Pseudarthrose der proximalen Ulna mit Radiuskopfnekrose (11,1 %). Die Anzahl an Revisionsoperationen von der Primärversorgung bis zur EB-TEP lag bei 2,7 (±1,8; 0 bis 6) Eingriffen. Die Revisionsrate nach EB-TEP betrug 44 %. Der Broberg/Morrey Score lag zum Zeitpunkt der letzten Nachuntersuchung bei 83 (±10; 71 bis 97) Punkten.

Zusammenfassung
Die chronische Osteomyelitis und der Defekt des Processus coronoideus sind die führenden Ursachen für eine Gelenkdestruktion nach MLF, die zur EB-TEP führen. Wenngleich die klinischen Ergebnisse insgesamt zufriedenstellend sind, so muss angesichts der hohen Revisionsrate die Indikationsstellung streng selektiert werden.
Precipitation variability using GPCC data and its relationship with atmospheric teleconnections in Northeast Brazil
Authors: dos Santos Daris Correia , Santos Celso Augusto Guimarães , Brasil Neto Reginaldo Moura , da Silva Richarde Marques , dos Santos Carlos Antonio Costa 
Published: June 2023

AbstractThe present study investigates the influence of different atmospheric teleconnections on the annual precipitation variability in Northeast Brazil (NEB) based on the annual precipitation data from the Global Precipitation Climatology Center (GPCC) from 1901 to 2013. The objective of this study is to analyze the influence of different atmospheric teleconnections on the total annual precipitation of NEB for the 1901–2013 period, considering the physical characteristics of four subregions, i.e., Mid-north, Backwoods, Agreste, and Forest zone. To analyze the influence of different atmospheric teleconnections, GPCC data were used, and the behavior of the teleconnections was assessed using Pearson correlation coefficient, Rainfall Anomaly Index (RAI), and cross-wavelet analysis. The Pearson correlation was used to analyze the influence on the annual precipitation for the studied region. RAI was used to calculate the frequency of atmospheric patterns and drought episodes. The cross-wavelet analysis was applied to identify similarity signals between precipitation series and atmospheric teleconnections. The results of the Pearson correlation assessed according to Student's t test and cross-wavelet analysis showed that the Atlantic Multidecadal Oscillation (AMO) exerts a more significant influence on the Backwoods region at an interannual scale. In contrast, the Pacific Decadal Oscillation (PDO) exerts greater control over the modulation of the climatic patterns in NEB. The results of the study are insightful and reveal the differential impacts of teleconnections such as the AMO, PDO, MEI, and NAO on precipitation in the four sub-regions of NEB. The Atlantic circulation patterns strongly influence the interannual and interdecadal precipitation in the Agreste, Backwoods, and Mid-north regions, possibly associated with the Intertropical Convergence Zone (ITCZ) position. Finally, this study contributes to understanding internal climatic variability in NEB and planning of water resources and agricultural activities in such a region.
Graphic abstract
Forest gaps increase true bug diversity by recruiting open land species
Authors: Achury Rafael , Staab Michael , Blüthgen Nico , Weisser Wolfgang W. 
Published: June 2023

AbstractForests canopy gaps play an important role in forest ecology by driving the forest mosaic cycle and creating conditions for rapid plant reproduction and growth. The availability of young plants, which represent resources for herbivores, and modified environmental conditions with greater availability of light and higher temperatures, promote the colonization of animals. Remarkably, the role of gaps on insect communities has received little attention and the source of insects colonizing gaps has not been studied comprehensively. Using a replicated full-factorial forest experiment (treatments:Gap;Gap + Deadwood;Deadwood;Control), we show that following gap creation, there is a rapid change in the true bug (Heteroptera) community structure, with an increase in species that are mainly recruited from open lands. Compared with closed-canopy treatments (DeadwoodandControl), open canopy treatments (GapandGap + Deadwood) promoted an overall increase in species (+ 59.4%, estimated as number of species per plot) and individuals (+ 76.3%) of true bugs, mainly herbivores and species associated to herbaceous vegetation. Community composition also differed among treatments, and all 17 significant indicator species (out of 117 species in total) were associated with the open canopy treatments. Based on insect data collected in grasslands and forests over an 11-year period, we found that the species colonizing experimental gaps had greater body size and a greater preference for open vegetation. Our results indicate that animal communities that assemble following gap creation contain a high proportion of habitat generalists that not occurred in closed forests, contributing significantly to overall diversity in forest mosaics.
Quantitative Evaluation of the Fracturing State of Crystalline Rocks Using Infrared Thermography
Authors: Franzosi Federico , Casiraghi Stefano , Colombo Roberto , Crippa Chiara , Agliardi Federico 
Published: June 2023

AbstractThe fracturing state of rocks is a fundamental control on their hydro-mechanical properties. It can be quantified in the laboratory by non-destructive geophysical techniques that are hardly applicable in situ, where biased mapping and statistical sampling strategies are usually exploited. We explore the suitabilty of infrared thermography (IRT) to develop a quantitative, physics-based approach to predict rock fracturing starting from laboratory scales and conditions. To this aim, we performed an experimental study on the cooling behaviour of pre-fractured gneiss and mica schist samples, whose 3D fracture networks were reconstructed using Micro-CT and quantified by unbiased fracture abundance measures. We carried out cooling experiments in both controlled (laboratory) and natural (outdoor) environmental conditions and monitored temperature with a thermal camera. We extracted multi-temporal thermograms to reconstruct the spatial patterns and time histories of temperature during cooling. Their synthetic description show statistically significant correlations with fracture abundance measures. More intensely fractured rocks cool at faster rates and outdoor experiments show that differences in thermal response can be detected even in natural environmental conditions. 3D FEM models reproducing laboratory experiments outline the fundamental control of fracture pattern and convective boundary conditions on cooling dynamics. Based on a lumped capacitance approach, we provided a synthetic description of cooling curves in terms of a Curve Shape Parameter, independent on absolute thermal boundary conditions and lithology. This provides a starting point toward the development of a quantitative methodology for the contactless in situ assessment of rock mass fracturing.
A Novel Platinum Resistance-Related Immune Gene Signature for Overall Survival Prediction in Patients with Ovarian Cancer
Authors: Zhou Chenfei , Ma Junnan , Luo Wanjun , Hu Jiemei , Chen Jing , Liang Suiying , He Shanyang 
Published: June 2023

AbstractOvarian cancer (OV) is a highly heterogeneous gynecological tumor that makes the prognostic prediction challenging. Resistance to platinum-based chemotherapy is associated with a poor prognosis in OV. There seems to be an overlap between molecular mechanisms responsible for platinum resistance and immunogenicity in OV. However, the predictive role of platinum resistance-related immune genes for OV prognosis needs to be further explored. In our study, the mRNA expression data of OV patients with corresponding clinical information were collected from The Cancer Genome Atlas (TCGA) cohort and International Cancer Genome Consortium (ICGC) cohort. A multigene signature was constructed for OV patients in the TCGA cohort using the least absolute shrinkage and selection operator (LASSO) Cox regression model according to the optimal value of λ and was validated in the ICGC cohort. Furthermore, we performed functional analysis to explore the immune status between low- and high-risk groups based on the median value of the risk score for the multigene signature. Our data showed that there were 41.1% of the platinum resistance-related genes which differentially expressed between immune score low- and high-OV patients in the TCGA cohort. Univariate Cox regression analysis identified 30 differentially expressed genes (DEGs) associated with overall survival (OS) (P < 0.05). 14 genes were identified to construct a novel platinum resistance-related immune model for classifying OV patients into the low- and high- risk groups. Patients in the low-risk group showed significantly higher OS than those in the high-risk group (P < 0.0001 in the both TCGA and ICGC cohort), which was associated with different immune status for the two risk groups. A novel platinum resistance-related immune model can be used for prognostic prediction in OV. Targeting tumor immunity may be a therapeutic alternative for OV with platinum resistance.
Heat Capacity of Various (Solvent + Terpene) Mixtures as Function of Composition and Temperature
Authors: Castellanos Nicolás Stiven , Villa Aída Luz 
Published: June 2023

AbstractThe heat capacity of different mixtures of terpenes (α-pinene, β-pinene, limonene oxide) and solvents (acetone, toluene, ethyl acetate) at atmospheric pressure (85.1 kPa atm in Medellin, Colombia) were measured using a microcalorimeter at several terpene molar fractions and from room temperature to a value close to the solvent boiling point. The mixtures analyzed were acetone + α-pinene from 298.15 to 323.15 K, toluene + limonene oxide and toluene + β-pinene from 298.15 to 358.15 K, and ethyl acetate + β-pinene between 298.15 and 338.15 K. These mixtures, at the selected temperature ranges, are used in fine chemical catalytic reactions. The experimental heat capacity values were fitted to polynomials as a function of temperature. Excess heat capacity was calculated with the measured molar heat capacity for all the mixtures, it decreased with temperature. Experimental uncertainty was less than 1.5% with a confidence level of 95% using k = 2. The experimental results were consistent, for example the heat capacity of ethyl acetate + β-pinene mixture increased as the temperature increased and decreased with the composition of the solvent; at 308.15 K the heat capacity decreased from 252.73 to 245.17 J mol−1 K−1 when solvent composition increased from 0.1546 to 0.2797 and at a solvent composition of 0.1546, heat capacity increased from 237.26 to 252.73 J·mol−1·K−1 when temperature increased from 298.15 to 308.15 K.
Nitrous oxide emissions after struvite application in relation to soil P status
Authors: Yang Zhongchen , Ferron Laura M. E. , Koopmans Gerwin F. , Sievernich Angela , van Groenigen Jan Willem 
Published: June 2023

Abstract
Purpose
Although struvite (MgNH4PO4·6H2O) is mostly considered to be a novel phosphorus (P) fertiliser, it does contain a significant amount of nitrogen (N). Yet, relatively little is known about the soil N dynamics in struvite-amended soils. Here, we focus on how struvite application impacts emissions of the greenhouse gas nitrous oxide (N2O), in relation to soil P status.

Methods
We conducted a 54-day greenhouse pot experiment on two similar soils with different P status (“low-P soil”; “high-P soil”) seeded with Lolium perenne L. We applied seven fertiliser treatments (Control; Struvite granules; Struvite powder; Urea; Triple superphosphate (TSP); TSP + Struvite granule; TSP + Urea). Except for the unfertilised Control and the TSP treatments, N application rate was 150 kg N‧ha−1. Nitrous oxide (N2O) fluxes, aboveground yield, plant N and P uptake and readily plant-available soil N and P contents were measured.

Results
In the low-P soil, none of the fertiliser treatments induced a significant increase in N2O emission compared to the control. In the high-P soil, struvite application resulted in lower emissions than urea application, statistically not different from the control treatment. Struvite powder significantly increased both plant N and P uptake compared to granular struvite and the resulting yield was similar to conventional fertilisation (TSP and Urea). Any struvite application also resulted in lower readily plant-available soil nitrate contents than urea.

Conclusion
Our results suggest that struvite fertilisation can reduce the risk of gaseous N losses without compromising agronomic performance. Pulverizing struvite granules further promotes its dissolution, which could be useful for crops with early nutrient needs.
Numerical simulation and PIV measurements of the wave-induced flow field near semi-circular breakwaters
Authors: Gomaa Mona A. , Kasem Tamer H. M. A. , Huzayyin Omar A. , Schlenkhoff Andreas , Sasaki Jun 
Published: June 2023

AbstractCareful design of the high-tech semi-circular breakwaters (SBW), which are used for protection against sea waves, is essential to avoid the failure of these large-scale projects. An improved design tool adopting numerical simulations, complemented with experimental measurements is introduced. Unstructured boundary-fitted grids are used to model the curved SBW boundary accurately and resolve the flow adjacent to it. Experimental measurements based on Particle Image Velocimetry (PIV) are introduced and the numerically simulated velocity fields are validated. For the first time, the strong free surface deformation upstream of the SBW, termed trough-breaking, is reproduced numerically. The phenomenon is investigated in detail and its impact on several SBW advantages and stability is emphasized. The improved accuracy due to unstructured boundary-fitted grids complemented by the PIV data set, offers valuable prospects for performing complex designs and exploring future applications.Article HighlightsAn efficient design tool for the high-tech semi-circular breakwater is introduced adopting numerical simulations and experimental measurements.The numerical results agree well with the experimental measurements. Hence, this experimental data set should be used extensively for validation in future studies.The important flow phenomenon of “trough-breaking” is reproduced numerically for the first time, and its impact on the semi-circular breakwater features is clarified.
A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality
Authors: Nieto-Ortega Eduardo , Maldonado-del-Arenal Alejandro , Escudero-Roque Lupita , Macedo-Falcon Diana Ali , Escorcia-Saucedo Ana Elena , León-del-Ángel Adalberto , Durán-Méndez Alejandro , Rueda-Medécigo María José , García-Callejas Karla , Hernández-Islas Sergio , Romero-López Gabriel , Hernández-Romero Ángel Raúl , Pérez-Ortega Daniela , Rodríguez-Segura Estephany , Montaño‑Olmos Daniela , Hernández-Muñoz Jeffrey , Rodríguez-Peña Samuel , Magos Montserrat , Aco-Cuamani Yanira Lizeth , García-Chávez Nazareth , García-Otero Ana Lizeth , Mejía-Rangel Analiz , Gutiérrez-Losada Valeria , Cova-Bonilla Miguel , Aguilar-Arroyo Alma Delia , Sandoval-García Araceli , Martínez-Francisco Eneyda , Vázquez-García Blanca Azucena , Jardínez-Vera Aldo Christiaan , del Campo Alejandro Lechuga-Martín , Peón Alberto N. 
Published: June 2023

AbstractPrognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all withp < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all withp < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at:http://benepachuca.no-ip.org/covid/index.php
Microbial diversity in the vaginal microbiota and its link to pregnancy outcomes
Authors: Baud Agnes , Hillion Kenzo-Hugo , Plainvert Céline , Tessier Véronique , Tazi Asmaa , Mandelbrot Laurent , Poyart Claire , Kennedy Sean P. 
Published: June 2023

AbstractThe vaginal microbiota refers to the microorganisms that reside in the vagina. These microorganisms contribute significantly to a woman’s reproductive and general health. A healthy vaginal microbiota is typically a low-diversity environment with a predominance of lactic acid-producing Lactobacillus species. Factors such as antibiotic use, sexual activity, and hormonal changes can disrupt the balance of the vaginal microbiota, leading to conditions such as bacterial vaginosis. The composition of the vaginal microbiota changes and takes on added importance during pregnancy, serving as a barrier against infection for both mother and fetus. Despite the importance of the microorganisms that colonize the vagina, details of how changes in composition and diversity can impact pregnancy outcomes is poorly understood. This is especially true for woman with a high prevalence of Gardnerella vaginalis. Here we report on a diverse cohort of 749 women, enrolled in the InSPIRe cohort, during their final trimester of pregnancy. We show that Lactobacilli, including L. crispatus are important in maintaining low diversity, and that depletion in this critical community is linked with preterm delivery. We further demonstrate that it is overall diversity of the vaginal microbiota, not specific species, which provides the best indicator of risk.
Key management scheme of distributed IoT devices based on blockchains
Authors: Liu Qingyuan , Luo Lei , Wang Jian , Li Wenshun , Liu Ruijia , Yu Ming 
Published: June 2023

AbstractWith the rapid development of Internet of Things devices and communication technology, the number of devices connected to the Internet of Things is growing exponentially. However, in the context of the rapid increase in the number of devices, data security issues such as data leakage and data tampering also follow. Therefore, communication security between devices is particularly important. However, in the traditional network environment, the identity authentication and information encryption methods to ensure communication security mostly adopt centralized network structure, relying on the central equipment to manage the access edge equipment. However, due to the heterogeneity of IoT devices and limited resources, the traditional centralized management scheme does not fully comply with the IoT system. In order to solve the above problems, this paper proposes a blockchain distributed IoT device key management scheme under the blockchain technology framework, which proposes a blockchain based distributed IoT architecture, and designs a hash chain based identity authentication scheme and a key distribution scheme based on network security coding on the basis of this architecture. Because blockchain technology has the characteristics of openness, immutability, traceability and fault tolerance, it can ensure the privacy of data transmission in the IoT scene, thus providing a secure communication environment. In this paper, the performance indexes related to the scheme are evaluated, and the experimental analysis confirms the efficiency and scalability of the proposed scheme.
Performance study of HF communication using NOMA over narrowband HF channel
Authors: Ismail Ahmad , Mohamedpour Kamal 
Published: June 2023

AbstractHigh frequency systems (HF) are still used in many communication applications. Data can be sent for hundreds of kilometers at a low power cost with only one drawback, low bitrate. To increase the bitrate, several methods were reported using the single‐Tone modulation with 24 kHz bandwidth, but still not practical in real‐time applications because, the 24 kHz is unavailable due to the instability of the ionosphere layer. In this work, we propose a structured method built on the Non‐Orthogonal Multiple Access technique (NOMA) to increase the bit rate per HF narrowband channel. To increase the data rate, two parts of the data are divided and sent to one user over two different power levels. We use the NOMA technique on the receiver's side to recognize the two parts of data. The results show a significant improvement (up to 45%) using NOMA in narrowband 3 kHz channels. The bit rate at the receiver has increased up to 200 Kb/s concerning, while the maximum bit rate recorded by conventional methods used in previous studies is 138 Kb/s. The system is built on the SDR platform and tested in multiple channels, weather, and power conditions in real‐time experiments to validate its reliability.