bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elektrodenplatzierung in der kardialen Devicetherapie
Authors: Wörmann Jonas , Duncker David , Althoff Till , Heeger Christian , Tilz Roland , Estner Heidi , Rillig Andreas , Sommer Philipp , Iden Leon , Johnson Victoria , Chun K. R. Julian , Jansen Henning , Maurer Tilman , Busch Sonia , Steven Daniel 
Published: May 2024

ZusammenfassungDie Implantation von Elektroden aktiver Herzrhythmusimplantate („cardiac implantable electronic devices“, CIED) erfordert tiefgehendes technisches Verständnis und eine präzise Ausführung. Die Platzierung der Elektroden im rechten Ventrikel und Vorhof hat signifikante Auswirkungen auf die Patientensicherheit und die Effektivität der CIED-Therapie. Insbesondere bei der ventrikulären Platzierung wird dabei der Fokus auf die Unterscheidung zwischen apikaler und septaler Stimulation gelegt. Basierend auf der aktuellen Datenlage, stellt dieser Artikel eine praxisorientierte Anleitung dar, die Implantierende durch die einzelnen Schritte der Elektrodenplatzierung führt. Die Implantation von Elektroden zur physiologischen Stimulation („cardiac resynchronization therapy“, CRT und „conduction system pacing“, CSP) werden an anderer Stelle adressiert und sind nicht Gegenstand dieses Artikels.
The Concise Language Paradigm (CLaP), a framework for studying the intersection of comprehension and production: electrophysiological properties
Authors: Roos Natascha Marie , Chauvet Julia , Piai Vitória 
Published: May 2024

AbstractStudies investigating language commonly isolate one modality or process, focusing on comprehension or production. Here, we present a framework for a paradigm that combines both: the Concise Language Paradigm (CLaP), tapping into comprehension and production within one trial. The trial structure is identical across conditions, presenting a sentence followed by a picture to be named. We tested 21 healthy speakers with EEG to examine three time periods during a trial (sentence, pre-picture interval, picture onset), yielding contrasts of sentence comprehension, contextually and visually guided word retrieval, object recognition, and naming. In the CLaP, sentences are presented auditorily (constrained, unconstrained, reversed), and pictures appear as normal (constrained, unconstrained, bare) or scrambled objects. Imaging results revealed different evoked responses after sentence onset for normal and time-reversed speech. Further, we replicated the context effect of alpha-beta power decreases before picture onset for constrained relative to unconstrained sentences, and could clarify that this effect arises from power decreases following constrained sentences. Brain responses locked to picture-onset differed as a function of sentence context and picture type (normal vs. scrambled), and naming times were fastest for pictures in constrained sentences, followed by scrambled picture naming, and equally fast for bare and unconstrained picture naming. Finally, we also discuss the potential of the CLaP to be adapted to different focuses, using different versions of the linguistic content and tasks, in combination with electrophysiology or other imaging methods. These first results of the CLaP indicate that this paradigm offers a promising framework to investigate the language system.
A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions
Authors: Lin Jie , Zheng Hao , Jia Qiyu , Shi Jingjing , Wang Shiwei , Wang Junna , Ge Min 
Published: May 2024

Abstract
Objective
The aim of this study is to conduct a systematic evaluation of the diagnostic efficacy of Breast Imaging Reporting and Data System (BI-RADS) 4 benign and malignant breast lesions using magnetic resonance imaging (MRI) radiomics.

Methods
A systematic search identified relevant studies. Eligible studies were screened, assessed for quality, and analyzed for diagnostic accuracy. Subgroup and sensitivity analyses explored heterogeneity, while publication bias, clinical relevance and threshold effect were evaluated.

Results
This study analyzed a total of 11 studies involving 1,915 lesions in 1,893 patients with BI-RADS 4 classification. The results showed that the combined sensitivity and specificity of MRI radiomics for diagnosing BI-RADS 4 lesions were 0.88 (95% CI 0.83–0.92) and 0.79 (95% CI 0.72–0.84). The positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were 4.2 (95% CI 3.1–5.7), 0.15 (95% CI: 0.10–0.22), and 29.0 (95% CI 15–55). The summary receiver operating characteristic (SROC) analysis yielded an area under the curve (AUC) of 0.90 (95% CI 0.87–0.92), indicating good diagnostic performance. The study found no significant threshold effect or publication bias, and heterogeneity among studies was attributed to various factors like feature selection algorithm, radiomics algorithms, etc. Overall, the results suggest that MRI radiomics has the potential to improve the diagnostic accuracy of BI-RADS 4 lesions and enhance patient outcomes.

Conclusion
MRI-based radiomics is highly effective in diagnosing BI-RADS 4 benign and malignant breast lesions, enabling improving patients’ medical outcomes and quality of life.
Development of branchial ionocytes in embryonic and larval stages of cloudy catshark, Scyliorhinus torazame
Authors: Inokuchi Mayu , Someya Yumiko , Endo Keitaro , Kamioka Katsunori , Katano Wataru , Takagi Wataru , Honda Yuki , Ogawa Nobuhiro , Koshiba-Takeuchi Kazuko , Ohtani-Kaneko Ritsuko , Hyodo Susumu 
Published: May 2024

AbstractIn teleost fish, branchial ionocytes are important sites for osmoregulation and acid-base regulation by maintaining ionic balance in the body fluid. During the early developmental stages before the formation of the gills, teleost ionocytes are localized in the yolk-sac membrane and body skin. By comparing with teleost fish, much less is known about ionocytes in developing embryos of elasmobranch fish. The present study investigated the development of ionocytes in the embryo and larva of cloudy catshark, Scyliorhinus torazame. We first observed ionocyte distribution by immunohistochemical staining with anti-Na+/K+-ATPase (NKA) and anti-vacuolar-type H+-ATPase (V-ATPase) antibodies. The NKA- and V-ATPase-rich ionocytes appeared as single cells in the gill filaments from stage 31, the stage of pre-hatching, while the ionocytes on the body skin and yolk-sac membrane were also observed. From stage 32, in addition to single ionocytes on the gill filaments, some outstanding follicular structures of NKA-immunoreactive cells were developed to fill the inter-filament region of the gill septa. The follicular ionocytes possess NKA in the basolateral membrane and Na+/H+ exchanger 3 in the apical membrane, indicating that they are involved in acid-base regulation like single NKA-rich ionocytes. Three-dimensional analysis and whole-mount immunohistochemistry revealed that the distribution of follicular ionocytes was limited to the rostral side of gill septum. The rostral sides of gill septum might be exposed to faster water flow than caudal side because the gills of sharks gently curved backward. This dissymmetric distribution of follicular ionocytes is considered to facilitate efficient body-fluid homeostasis of catshark embryo.
A Comprehensive Study on Methane Adsorption Capacities and Pore Characteristics of Coal Seams: Implications for Efficient Coalbed Methane Development in the Soma Basin, Türkiye
Authors: Esen Olgun , Fişne Abdullah 
Published: May 2024

Abstract
This study represents a comprehensive assessment of methane adsorption capacity and pore characteristics for the coal seams of the Soma Basin in Western Türkiye, with a focus on their implications for coalbed methane potential. Twenty-one exploration wells were utilized to obtain coal samples from the kP1 and kM2 coal seams in the Kınık coalfield of the Soma Basin. High-pressure methane adsorption experiments using the indirect gravimetric method were conducted to quantify the storage capacities of these coal seams. Results revealed a wide range of methane adsorption capacities, ranging from 10.5 to 28.3 m3/t (air-dry basis), indicating significant methane storage potential for the kP1 and kM2 coal seams. The gas contents, ranging from 1.1 to 4.3 m3/t (as-received basis), suggested that the coal seams were undersaturated. Low-pressure N2/CO2 adsorption tests, along with standard proximate and gross calorific value analyses, were performed to investigate the influence of coal quality and pore characteristics on methane adsorption capacities. The findings demonstrated correlations between coal quality parameters and adsorption capacity, with ash yield showing a moderately negative correlation and fixed carbon content and gross calorific values exhibiting moderately positive correlations. Microporosity was identified as the critical factor governing methane adsorption, with a strong positive correlation observed between micropore surface areas and volumes and adsorption capacity. These results highlight the significant methane storage capacities of the coal seams in the Soma Basin and underscore the importance of micropores in determining methane adsorption capacity. The findings provide valuable insights for optimizing methane extraction and utilization in the region and offer important considerations for reservoir characterization and development strategies in similar low-rank coal deposits.

Highlights

Extensive evaluation of methane adsorption and pore characteristics in Soma Basin coals, uncovering substantial potential for coalbed methane.

The study reveals a diverse range of methane adsorption capacities, indicating highly promising methane storage capabilities.

Correlation between coal quality parameters and methane adsorption, offering valuable insights into gas storage influenced by coal composition.

Emphasis on the crucial role of micropores in methane storage, underscoring their significance as primary adsorption sites.

Practical implications for optimizing methane extraction and utilization, guiding reservoir development in low-rank coal deposits like Soma Basin.
Intracellular cytokines in peritoneal leukocytes relate to lifespan in aging and long-lived female mice
Authors: Martínez de Toda Irene , Félix Judith , Díaz-Del Cerro Estefanía , De la Fuente Mónica 
Published: May 2024

AbstractPeritoneal immune cell function is a reliable indicator of aging and longevity in mice and inflammaging is associated with a shorter lifespan. Nevertheless, it is unknown if the content of cytokines in these immune cells is linked to individual differences in lifespan. Therefore, this work aimed to investigate different peritoneal leukocyte populations and their content in intracellular pro-inflammatory (TNF and IL-6) and anti-inflammatory (IL-10) cytokines by flow cytometry in adult (10 months-old, n = 8) and old (18 months-old, n = 20) female Swiss/ICR mice. In addition, old mice were monitored longitudinally throughout their aging process, and the same markers were analyzed at the very old (24 months-old, n = 8) and long-lived (30 months-old, n = 4) ages. The longitudinal follow-up allowed us to relate the investigated parameters to individual lifespans. The results show that long-lived female mice exhibit an adult-like profile in most parameters investigated but also display specific immune adaptations, such as increased CD4+ and CD8+ T cells containing the pro-inflammatory TNF cytokine and CD4+ T cells and macrophages containing the anti-inflammatory cytokine IL-10. These adaptations may underlie their exceptional longevity. In addition, a negative correlation was obtained between the percentage of cytotoxic T cells, KLRG-1/CD4, large peritoneal macrophages, and the percentage of CD4+ T cells containing IL-6 and macrophages containing IL-10 in old age and lifespan, whereas a positive correlation was found between the CD4/CD8 ratio and the longevity of the animals at the same age. These results highlight the crucial role of peritoneal leukocytes in inflammaging and longevity.
Exploring the impact of the recent global warming on extreme weather events in Central Asia using the counterfactual climate data ATTRICI v1.1
Authors: Fallah Bijan , Rostami Masoud 
Published: May 2024

AbstractWe study the impact of recent global warming on extreme climatic events in Central Asia (CA) for 1901-2019 by comparing the composite representation of the observational climate with a hypothetical counterfactual one that does not include the long-term global warming trend. The counterfactual climate data are produced based on a simple detrending approach, using the global mean temperature (GMT) as the independent variable and removing the long-term trends from the climate variables of the observational data. This trend elimination is independent of causality, and the day-to-day variability in the counterfactual climate remains preserved. The analysis done in the paper shows that the increase in frequency and magnitude of extreme temperature and precipitation events can be attributed to global warming. Specifically, the probability of experiencing a +7 K temperature anomaly event in CA increases by up to a factor of seven in some areas due to global warming. The analysis reveals a significant increase in heatwave occurrences in Central Asia, with the observational climate dataset GSWP3-W5E5 (later called also factual) showing more frequent and prolonged extreme heat events than hypothetical scenarios without global warming. This trend, evident in the disparity between factual and counterfactual data, underscores the critical impact of recent climatic changes on weather patterns, highlighting the urgent need for robust adaptation and mitigation strategies. Additionally, using the self-calibrated Palmer drought severity index (scPDSI), the sensitivity of dry and wet events to the coupled precipitation and temperature changes is analyzed. The areas under dry and wet conditions are enhanced under the observational climate compared to a counterfactual scenario, especially over the largest deserts in CA. The expansion of the dry regions aligns well with the pattern of desert development observed in CA in recent decades.
Back to the origins: biopesticides as promising alternatives to conventional agrochemicals
Authors: Aioub Ahmed A. A. , Ghosh Soumya , AL-Farga Ammar , Khan Allah Nawaz , Bibi Rabia , Elwakeel Abdullah M. , Nawaz Asma , Sherif Naglaa T. , Elmasry Sohaila A. , Ammar Esraa E. 
Published: May 2024

AbstractPresently, the world is using eco-friendly products to limit pollution in soil, air, water, and marine environments and to mitigate rapid climate change according to the sustainable development goals of the United Nations Development Programme. As a result, most countries attempt to produce environmentally friendly herbicides, fertilizers, and pesticides from plants, algae (e.g., Cladophora glomerata, Laurencia pinnata, Plocamium cartilagineum, Polcamium spp.) or animal manure. Plants, such as Anethum sowa, Thymus vulgaris, Foeniculum vulgare, Syzygium aromaticum, Pinus sylvestris, Citrus spp., Piper spp. and Mentha spicata, are ecofriendly sources of essential oils, containing safe components, which can resist harmful pests. This review evaluates the common plants and algae used for extracting biopesticides, geographical distribution, target pests, mode of action, and commercial viability.
Transparency for AI systems: a value-based approach
Authors: Buijsman Stefan 
Published: May 2024

AbstractWith the widespread use of artificial intelligence, it becomes crucial to provide information about these systems and how they are used. Governments aim to disclose their use of algorithms to establish legitimacy and the EU AI Act mandates forms of transparency for all high-risk and limited-risk systems. Yet, what should the standards for transparency be? What information is needed to show to a wide public that a certain system can be used legitimately and responsibly? I argue that process-based approaches fail to satisfy, as knowledge about the development process is insufficient to predict the properties of the resulting system. Current outcome-based approaches [Mitchell et al., 2019; Loi et al., 2021] are also criticized for a lack of attention to the broader socio-technical system and failure to account for empirical results that show that people care about more than just the outcomes of a process [as reported by Meyerson et al. (Procedural justice and relational theory: Empirical, philosophical, and legal perspectives, Taylor & Francis, 2021)]. Instead, I propose value-based transparency, on which the information we need to provide is what values have been considered in the design and how successful these have been realized in the final system. This can handle the objections to other frameworks, matches with current best practices on the design of responsible AI and provides the public with information on the crucial aspects of a system’s design.
Genotype by year interaction for selected traits in sweet maize (Zea maize L.) hybrids using AMMI model
Authors: Bocianowski Jan , Waligóra Hubert , Majchrzak Leszek 
Published: May 2024

AbstractThis study investigated genotype × environment interactions for the stability of expression of four productivity traits (cobs yield, cobs I class trade share, lend of cobs and fulfilment of cobs) of sweet maize hybrids (Zea mays L.). The additive main effects and multiplicative interaction (AMMI) model was employed to assess genotype × environment interaction. AMMI stability value was used to evaluate both stability and genotype. The genotype selection index was calculated for each hybrid, incorporating both the average trait value and the stability index. Ten sweet maize hybrids were evaluated: Golda, GSS 1453, GSS 3071, GSS 5829, GSS 8529, Overland, Noa, Shinerock, Sindon, and Tessa. Trials were ran conducted over four vegetative seasons at a single location in the Wielkopolska region using replicated field experiments. The AMMI model revealed significant genotypic and environmental effects for all analyzed traits. Based on their superior stability and favorable average trait values, both the Golda cultivar and the GSS 3071 hybrid are recommended for further breeding program inclusion.
Characterization of ZmSnRK1 genes and their response to aphid feeding, drought and cold stress
Authors: Akbudak M. Aydın , Yildiz Kubra , Cetin Durmus , Filiz Ertugrul , Yukselbaba Utku , Srivastava Vibha 
Published: May 2024

Abstract
The SnRK1 complex in plants regulates metabolism in response to environmental stresses and glucose depletion, for stress adaptation and energy homeostasis. Through phosphorylation of various targets, SnRK1 orchestrates intricate regulatory mechanisms involved in autophagy, nutrient remobilization, and TOR activity inhibition, showcasing its pivotal role in coordinating plant metabolism and stress responses. The present study aimed to identify members of the SnRK1 gene family in the maize genome and characterize them using bioinformatics and expression analyses under aphid feeding, drought, and cold stress. The focus of the study was to conduct a comprehensive analysis towards determining gene diversity of ZmSnRK1 genes, constructing intricate 3D structures, and identifying stress-related cis-elements. Four SnRK1 genes were identified, which were named ZmSnRK1.1, ZmSnRK1.2, ZmSnRK1.3, and ZmSnRK1.4. The SnRK1 proteins were found to have a distribution of conserved motifs; however, the distinction between monocots and dicots in the phylogenetic tree was clearly demonstrated. Analysis of the promoter region revealed that the ZmSnRK1 genes contain stress-related cis-elements. Compared to the control, ZmSnRK1.3 significantly upregulated in response to aphid feeding and cold stress, while ZmSnRK1.2 showed elevated expression under drought conditions. The expression of the other two genes under these treatments was generally unperturbed. The findings of this study are poised to establish a valuable scientific foundation for future research on the roles of the SnRK1 gene family in plants, providing valuable insights for enhancing genetic resilience to stress and optimizing yield traits.
Improving the performance parameters of organic field-effect transistors via alkyl chain length of boronic acid self-assembled monolayers
Authors: Yılmaz Tuğbahan 
Published: May 2024

AbstractInterface modification is a promising technique for enhancing electrical parameters of Organic Field Effect Transistor (OFETs). In OFETs, self-assembled monolayer molecules are widely used for treatment dielectric/semiconductor interface layer. Modification of dielectric/semiconductor layer with SAM molecules ensures a variety of potential applications. Boronic acids with four different alkyl chain lengths (Cn-BA; n = 8, 10, 12, 14) molecules were used in this study to treat the Al2O3 dielectric surface in dinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene (DNTT) based OFETs. Treated with SAMs improve the mobility of Al2O3 surfaces for linear and saturation regime and threshold voltages shifted from positive direction. The morphological and electrical characterizations were performed for fabricated OFET. The results show that alkyl-boronic acids SAM molecules open a new perspective for further optoelectronic applications due to its application for oxide surfaces and controllability.
Optimizing Ti/TiN Multilayers for UV, Optical and Near-IR Microwave Kinetic Inductance Detectors
Authors: Ulbricht Gerhard , De Lucia Mario , Piercy Jack , Creaner Oisín , Bracken Colm , McAleer Cáthal , Ray Tom 
Published: May 2024

AbstractMicrowave Kinetic Inductance Detectors (MKIDs) combine significant advantages for photon detection like single photon counting, single pixel energy resolution, vanishing dark counts and µs time resolution with a simple design and the feasibility to scale up into the megapixel range. But high quality MKID fabrication remains challenging as established superconductors tend to either have intrinsic disadvantages, are challenging to deposit or require very low operating temperatures. As alternating stacks of thin Ti and TiN films have shown very impressive results for far-IR and sub-mm MKIDs, they promise significant improvements for UV, visible to near-IR MKIDs as well, especially as they are comparably easy to fabricate and control. In this paper, we present our ongoing project to adapt proximity coupled superconducting films for photon counting MKIDs. Some of the main advantages of Ti/TiN multilayers are their good control of critical temperature (Tc) and their great homogeneity of Tc even over large wafers, promising improved pixel yield especially for large arrays. We demonstrate the effect different temperatures during fabrication have on the detector performance and discuss excess phase noise observed caused by surface oxidization of exposed Si. Our first prototypes achieved photon energy resolving powers of up to 3.1 but turned out to be much too insensitive. As the work presented is still in progress, we also discuss further improvements planned for the near future.