Miracle-dz/UniFAR-FTUs huggingface dataset:
Do complications of percutaneous osseointegration justify a switch to transcutaneous devices? A retrospective longitudinal study on complications

Introduction: Percutaneous bone conduction implants are the standard osseointegration model used to provide an alternative treatment option for conductive and mixed hearing loss. In recent years, the indications for these implants have increased, despite concerns about their use because of local complications. The aim of this study was to describe the complications of percutaneous osseointegrated devices implanted at our hospital. Material and methods: A retrospective longitudinal study was conducted in 57 consecutive patients who received a Baha®-type percutaneous bone conduction implantation. The main clinical indications were chronic otitis media and ear malformations. Local periimplant complications were described using the Holgers classification. Results: After a mean follow-up of 12 months (range: 4-48 months), 26.31% of patients had some type of peri-implant soft tissue complication. Only one patient (1.75%) had major reactions requiring removal of the implant. Complications in the paediatric age group were notably higher, affecting 42.85% of the children. Conclusions: The local complication rate in our study was at the lower end of the range described in the literature, which reports a very wide range of rates, even reaching 70%. Most complications are minor and resolve with topical antibiotic treatment. However, the rate is higher in children.
Recent cryogenic processes at Samoylov Island, North Siberia for calibrating a stable-isotope thermometer for ice wedges

measured temperature data for a particular year. For a correlation like this it is important to understand different factors which might influence the isotope composition of the ice wedge. One such factor is isotope fractionation during refreezing, which was studied using a highresolution experiment and turned out to be negligible. Additionally environmental conditions like temperature and snow-depth influence frost cracking and therefore determine the time period of ice wedge growth. These conditions were investigated by frost-cracking experiments, which identified December as the main season for thermal-contraction cracking at Samoylov Island. Two main seasons for penetration of snow and melt water into frost cracks were found: the first one in December when frost cracking takes place and the second one at snow melt in spring. Therefore the isotope signal of an ice wedge represents spring and winter temperatures. A shift in seasonality between the first two years and the later years was observed in the isotope signal. For the years 2004 to 2010 a isotope-temperature equation was obtained. Recent ground ice from an ice-wedge was successfully attributed to the year of its formation and showed that the isotope signal from ice-wedge samples is influenced by both, spring and winter temperatures.
Theoretical Limits of the Matching Bandwidth and Output Power of AlScN-Based HEMTs

In this work, the simultaneously achievable matching bandwidth and output power of AlScN-based high electron mobility transistors (HEMTs) are derived and compared to conventional AlGaN, GaAs, and Si devices. Moll’s method is used to extract time delays resulting in carrier velocities close to <inline-formula> <tex-math notation="LaTeX">$1\times 10^{{7}}$ </tex-math></inline-formula> cm/s for sheet carrier densities <inline-formula> <tex-math notation="LaTeX">$\ge 1.5\times 10^{{13}}$ </tex-math></inline-formula> cm−2. Subsequently, theoretical current densities of 2.5–4 A/mm and a maximum transconductance higher than 600 mS/mm are derived for low barrier thicknesses of 5–10 nm and Sc-concentrations of 5%–20%. The matching bandwidth is estimated by the Bode–Fano criterion and connected to the output power of the transistor by the power-bandwidth product, which accounts for both parameters simultaneously. AlScN-based devices are found to exhibit a 4.5-times higher power-bandwidth product compared to conventional AlGaN-based HEMTs, quantifying the enormous, theoretical limits. Experimental data already show an improvement by a factor of 1.45 for AlScN-based devices, even in this early stage of development, which proves their superior properties, when aiming for wideband high-power millimeter-wave (mm-wave) devices.
Peculiarity of Autoimmune Hepatitis Triggered by SARS-CoV-2 Infection

Introduction Recently, medical interest has been growing in SARS-CoV-2 infection and its multiorgan involvement, including the liver. Up until now, a few reports have described autoimmune hepatitis (AIH) triggered by SARS-CoV-2 infection, but no data are available about the specific liver inflammatory infiltrate and cluster of differentiation. We report a case of AIH triggered by SARS-CoV-2 infection, with a particular focus on its histological and mainly immunohistochemical features. Case description A 60-year-old man, with a history of paucisymptomatic SARS-CoV-2 infection that occurred one month earlier, was admitted for alterations of hepatocellular necrosis and cholestasis indexes. He completed vaccination for SARS-CoV-2 a year earlier. The serologies for hepatotropic viruses were negative. The anti- smooth muscle antibodies (ASMA) and antinuclear antibodies (ANA) results were positive. Anti-liver kidney microsome (anti-LKM) antibodies and antimitochondrial (AMA) were negative. By liver biopsy, haematoxylin-eosin staining highlighted severe portal inflammation with a rich CD38+ plasma cell component, while immunohistochemical staining showed low cell CD4+ count and prevalence of CD8+ and CD3+. After biopsy, the patient started an immunosuppressant regimen, with benefit. Discussion We can conclude that the patient developed a type 1 AIH triggered by SARS-CoV-2 infection. The presence of CD8 T-cells at immunohistochemical examination suggests different mechanisms from classic AIH. Similar cases are described after AIH triggered by SARS-CoV-2 vaccination. Conclusion The AIH after SARS-CoV-2 infection developed by the patient showed a histological picture similar to a classic AIH for the abundant presence of plasma cells, and immunohistochemical features similar to those described after SARS-CoV-2-vaccination. LEARNING POINTS Recently, medical interest has been growing in SARS-CoV-2 infection and its multiorgan involvement, including the liver. Underlying mechanisms are not still clear, more likely consisting of an inflammatory and immune mediated process rather than a direct cytopathic damage. Our report describes a rare case of type 1 AIH triggered by SARS-CoV-2 infection, showing a peculiar histological pattern, different from classic AIH, conversely similar to AIH triggered by SARS-CoV-2 vaccination. The mechanisms underlying liver involvement in SARS-CoV-2 infection are still under investigation. Further studies should be encouraged to improve understanding on this focus and to support physicians in its management.
An Inquiry-Based Project Added to Traditional Labs: Hands-On Fish Awareness Research in Freshwater Systems Conducted by First-Year Biology Students

This project involves students in an inquiry-based project added to the introductory biology laboratory course for majors in fall 2019. Research has shown that student engagement in authentic research has significant positive impacts on development of science literacy and reasoning skills. The authentic research conducted by students was the first attempt at quantifying self-awareness in North American freshwater fishes. Self-awareness in fish has garnered attention due to media coverage of recent peer-reviewed research indicating some fish are self-aware. Connections with media coverage and fish self-awareness was used to invoke student interest and provide relevance to the study. Students observed fishes from streams in the Great Plains and collected fish from local streams and rivers. They acclimated the fish in a holding tank before placing them in isolated microcosms for study. The students generated research questions, designed experiments, collected and analyzed data
Hyperaccumulator Solanum nigrum L. Intercropping Reduced Rice Cadmium Uptake under a High-Bed and Low-Ditch Planting System

Anthropogenic activities have raised cadmium (Cd) concentrations in agricultural soil, emerging as a primary catalyst for the decline in crop yield. Intercropping of two or several plants is one technique among many Cd phytoremediation techniques that has gained enormous attention recently. However, the impact of cultivation modes on Cd movement in rice plants when intercropped with heavy metal (HM) hyperaccumulator plants remains unclear. Thus, this study was designed to explore the effects of cultivation modes and the intercropping of rice with Solanum nigrum L. on rice growth and Cd uptake in Cd-contaminated soil. The experimental design encompassed five treatments: dry cultivation of monocultured rice, monocultured Solanum nigrum L. , and intercropped rice–Solanum nigrum L. ; flood cultivation of monocultured rice; and intercropped rice–Solanum nigrum L. in a high-bed and low-ditch planting system. The results revealed a significant increase in rice growth when intercropped with Solanum nigrum L. , with a notable increase of 18.32 g∙plant−1 observed in rice biomass in dry cultivation under the intercropping system. In contrast, a more modest increase of 3.67 g∙plant−1 was observed in the high-bed and low-ditch intercropped rice–Solanum nigrum L. mode. The soil total Cd was higher in dry cultivation of monocultured rice and Solanum nigrum L. compared to intercropped rice/Solanum nigrum L. -cultivated soil, with lower values recorded for intercropped rice/Solanum nigrum L. under the high-bed and low-ditch planting system. In contrast, no significant effect was noted on soil exchangeable Cd content based on the planting pattern and cultivation mode. Intercropping with Solanum nigrum L. demonstrated a significant reduction of Cd content in various rice tissues, particularly in roots at the maturity stage, while Cd content was reduced across all rice tissues under the high-bed and low-ditch planting system. The Cd content in the stem, leaves, and bran of monocropped rice was higher compared to intercropped rice. This study suggests that the rice–Solanum nigrum L. intercropping system effectively reduces rice Cd uptake, particularly under the high-bed and low-ditch planting system.
A Novel Polymeric Membrane Sensor for Chlorhexidine Determination

In the present work, potentiometric sensors with polymer membranes used for chlorhexidine (CHXD) determination were developed. The polymer membranes were plasticized with bis(2-ethylheksyl)sebacate (DOS) or 2-nitrophenyloctyl ether (o-NPOE). The active compounds used in the membrane were cyclodextrins, crown ethers, and ion exchangers. The best-constructed electrode was based on neutral heptakis(2,3,6-tri-O-benzoyl)-β-cyclodextrin with lipophilic salt (KTpClBP)—potassium tetrakis(4-chlorophenyl) borate—dissolved in plasticizer, DOS. The presented electrode is characterized by an average cationic slope of 30.9 ± 2.9 mV decade−1 within a linear range of 1 × 10−6 to 1 × 10−3 mol × L−1, while the value of the correlation coefficient is 0.9970 ± 0.0026. The response time was about 5 s when increasing the sample concentration and about 10 s when diluting the sample. The electrode potential is independent of the pH within a range of 4.0–9.5. The polymeric membrane sensor was successfully applied for assays of chlorhexidine digluconate in pure samples and pharmaceutical samples. The relative error from three replicate measurements was determined to be 1.1%. and the accuracy was RSD = 0.3–1.1%.
Homogenized Daily Mean/Maximum/Minimum Temperature Series for China from 1960-2008

Abstract Inhomogeneities in the daily mean/maximum/ minimum temperature (Tm/Tmax/Tmin) series from 1960–2008 at 549 National Standard Stations (NSSs) in China were analyzed by using the Multiple Analysis of Series for Homogenization (MASH) software package. Typical biases in the dataset were illustrated via the cases of Beijing (BJ), Wutaishan (WT), Ürümqi (UR) and Henan (HN) stations. The homogenized dataset shows a mean warming trend of 0.261/0.193/0. 344ºC/decade for the annual series of Tm/Tmax/Tmin, slightly smaller than that of the original dataset by 0.006/0.009/0. 007ºC/decade. However, considerable differences between the adjusted and original datasets were found at the local scale. The adjusted Tmin series shows a significant warming trend almost everywhere for all seasons, while there are a number of stations with an insignificant trend in the original dataset. The adjusted Tm data exhibit significant warming trends annually as well as for the autumn and winter seasons in northern China, and cooling trends only for the summer in the middle reaches of the Yangtze River and parts of central China and for the spring in southwestern China, while the original data show cooling trends at several stations for the annual and seasonal scales in the Qinghai, Shanxi, Hebei, and Xinjiang provinces. The adjusted Tmax data exhibit cooling trends for summers at a number of stations in the mid–lower reaches of the Yangtze and Yellow Rivers and for springs and winters at a few stations in south–western China, while the original data show cooling trends at three/four stations for the annual/autumn periods in the Qinghai and Yunnan provinces. In general, the number of stations with a cooling trend was much smaller in the adjusted Tm and Tmax dataset than in the original dataset. The cooling trend for summers is mainly due to cooling in August. The results of homogenization using MASH appear to be robust; in particular, different groups of stations with consideration of elevation led to minor effects in the results.
Optimized In Vitro Restriction Digestion Protocol for Preparing Maize and Barley ddRAD-Seq Libraries

In recent years, high-throughput sequencing methods have become increasingly popular in molecular biology laboratories, mainly due to the relatively low cost of small, benchtop platforms, the simplicity of library preparation, and the low price per unit of information. Sequencing huge and complex genomes, such as cereal genomes, remains challenging and may not always be necessary. Therefore, several techniques have been developed to sequence a reduced representation of the genome. The most flexible and widely used of these is ddRAD-Seq, which uses a pair of restriction enzymes to generate a pool of DNA fragments. The aim of this study was to validate in vitro the efficacy of different combinations of restriction enzymes for ddRAD-Seq library construction in barley and maize. Eleven pairs of restriction enzymes were selected and tested to determine the concentrations of fragments with the expected length range and to select suitable pairs for sampling the genomes of these two cereals using ddRAD-Seq. For the selected pairs, i.e., PstI—MspI and HindIII—FspBI for barley and maize, respectively, libraries were prepared for NGS sequencing on Illumina MiSeq. Sequencing confirmed the suitability of the selected enzymes to perform ddRAD-Seq in different genotypes. The results presented can be used for extensive research on these important cereal species.
DoreBer: Document-Level Relation Extraction Method Based on BernNet

Document-level relation extraction (RE) task aims to predict predefined relation types of every entity pair in a given document. Compared with the sentence-level counterpart, document-level relation extraction task requires reasoning in a more complex environment, where exist much longer text and much larger amount of entities, making it a more challenging task. However, previous methods suffers from over-smoothing problem when the count of GNN layers is high enough, leading high frequency signals on graph could not pass through filter, and then resulting in an insufficient approximation of the real function and finally causing a defective performance in tasks. To solve this problem, we propose a novel model, called DoreBer, for document-level RE task, which can obtain a higher quality of graph representation. Specifically, DoreBer performs estimation of filter over the normalized Laplacian spectrum of a graph by leveraging an order-K Bernstein polynomial approximation, and designs its spectral property by setting the coefficients of the Bernstein basis. Therefore, DoreBer can alleviate the over-smoothing problem to enhance learning ability of model. In addition, DoreBer has a higher interpretability for learned parameters of graph filter. We evaluate DoreBer on the DocRED public document-level RE dataset. Online experimental results demonstrate that DoreBer achieves significant performance improvements (2.72 and 2.76 higher on Ign $F_{1}$ and $F_{1}$ respectively), over the previous state-of-the-art on sequence-based method baseline. DoreBer reveals the potential of BernNet method in document-level relation extraction tasks and sheds light on a path to learn potential representation in high-dimensional data.The source code of this paper can be obtained from https://github.com/factor77/DoreBer/.
Convergence results based on graph-Reich contraction in fuzzy metric spaces with application

This article introduces a novel class of Reich-type contractions that meet the graph preservation criteria in the context of complete fuzzy metric spaces. The provided contraction condition is satisfied through various forms of contractive mappings via directed graphs in the literature. Our key result is the natural extension of fuzzy metric spaces to fuzzy metrics enriched with a graph, which adds the understanding of fixed points in metric spaces within the realm of graph structure. The findings are further supported by examples and applications.
Carrier density dependent Auger recombination in c-plane (In,Ga)N/GaN quantum wells: insights from atomistic calculations

Understanding Auger recombination in (In,Ga)N-based quantum wells is of central importance to unravelling the experimentally observed efficiency ‘droop’ in modern (In,Ga)N light emitting diodes (LEDs). While there have been conflicting results in the literature about the importance of non-radiative Auger recombination processes for the droop phenomenon, it has been discussed that alloy fluctuations strongly enhance the Auger rate. However, these studies were often focused on bulk systems, not quantum wells, which lie at the heart of (In,Ga)N-based LEDs. In this study, we present an atomistic analysis of the carrier density dependence of the Auger recombination coefficients in (In,Ga)N/GaN quantum wells. The model accounts for random alloy fluctuations, the connected carrier localisation effects, and carrier density dependent screening of the built-in polarisation fields. Our studies reveal that at low temperatures and low carrier densities the calculated Auger coefficients are strongly dependent on the alloy microstructure. However, at elevated temperatures and carrier densities, where the localised states are starting to be saturated, the different alloy configurations studied give (very) similar Auger coefficients. We find that over the range of carrier densities investigated, the contribution of the electron-electron–hole related Auger process is of secondary importance compared to the hole-hole-electron process. Overall, for higher temperatures and carrier densities, our calculated total Auger coefficients are in excess of 10−31 cm6 s−1 and may reach 10−30 cm6 s−1, which, based on current understanding in the literature, is sufficient to result in a significant efficiency droop. Thus, our results are indicative of Auger recombination being an important contributor to the efficiency droop in (In,Ga)N-based light emitters even without defect-assisted processes.
Researches on Sand Aerosol Chemical Composition and Enrichment Factor in the Spring at Helan Mountain Area

Sand aerosols are sampled during April and May, 1996, on both side of Helan mountain: Jilantai meteorological station, inner mongolia (West side) and Yinchuan airport, Ningxia (east side). The 35 chemical elements are analysed by using neutron activated methed (NA), and the element concentration features of sand aerosol are reported in this paper. It shows that the concentration of crust elements increases when sand and dust weather occurs, and the concentration increases with the increasing sandstorm intensity. The value of crust elements as a reference material and geochemistry classification are discussed. The enrichment factor of sand aerosol which relate to crust and loess is the highest for absorbent sulphate and sedimental elements. The enrichment factor of mainly absorbent element is also high under dust and sand weather conditions.
Geology and 40Ar/39Ar geochronology of the medium- to high-K Tanaga volcanic cluster, western Aleutians

We used geologic mapping and geochemical data augmented by 40 Ar/ 39 Ar dating to establish an eruptive chronology for the Tanaga volcanic cluster in the western Aleutian arc. The Tanaga volcanic cluster is unique in comparison to other central and western Aleutian volcanoes in that it consists of three closely spaced, active, volumetrically significant edifices (Sajaka, Tanaga, and Takawangha), the eruptive products of which have unusually high K 2 O contents. Thirty-five new 40 Ar/ 39 Ar ages obtained in two different laboratories constrain the duration of Pleistocene–Holocene subaerial volcanism to younger than 295 ka. The eruptive activity has been mostly continuous for the last 150 k.y. , unlike most other well-characterized arc volcanoes, which tend to grow in discrete pulses. More than half of the analyzed Tanaga volcanic cluster lavas are basalts that have erupted throughout the lifetime of the cluster, although a considerable amount of basaltic andesite and basaltic trachyandesite has also been produced since 200 ka. Major- and trace-element variations suggest that magmas from Sajaka and Tanaga volcanoes are likely to have crystallized pyroxene and/or amphibole at greater depths than the older Takawangha magmas, which experienced a larger percentage of plagioclase-dominated fractionation at shallower depths. Magma output from Takawangha has declined over the last 86 k.y. At ca. 19 ka, the focus of magma flux shifted to the west beneath Tanaga and Sajaka volcanoes, where hotter, more mafic magma erupted.
Poleward ocean heat transports, sea ice processes, and Arctic sea ice variability in NorESM1‐M simulations

Results from the NorESM1-M coupled climate model were used to examine relationships between Arctic sea ice area and ocean heat transports through the primary Arctic gateways. Comparisons were made with two other models (CNRM-CM5 and MRI-CGM3) that are part of the CMIP5 archive which have the required outputs for calculating ocean heat transports. Based on an evaluation, NorESM1-M was found to be best suited to study the effects of heat transports on sea ice area, and conclusions are based on results from this model. The Arctic Ocean was divided into two regions, the Barents Sea and the Central Arctic Ocean. The sea ice area variability was further analyzed in terms of frazil and congelation growth, top and bottom melting, and heat transports in the Barents Sea Opening (BSO) and the Fram Strait (FS). In the Barents Sea, increased heat transport in the BSO has a strong influence on sea ice area in terms of reduced congelation growth, while bottom melting is important for the variability in the Central Arctic Ocean. The negative trend in sea ice area is considerably greater in the Barents Sea than in the Central Arctic Ocean, despite the Central Arctic Ocean area being much larger, and reflects the major trend in the BSO heat transport. The model results in this study suggest that the ocean has stronger direct impact on changes in sea ice mass in terms of freezing and melting than the atmosphere, both in the mean and with respect to variability.