Key Discoveries Research Articles

The Role of Ferromagnetic Layer Thickness and Substrate Material in Spintronic Emitters.

In this article, we investigate optically induced terahertz radiation in ferromagnetic FeCo layers of varying thickness on Si and SiO2 substrates. Efforts have been made to account for the influence of the substrate on the parameters of the THz radiation generated by the ferromagnetic FeCo film. The study reveals that the thickness of the ferromagnetic layer and the material of the substrate significantly affect the generation efficiency and spectral characteristics of the THz radiation. Our results also emphasize the importance of accounting for the reflection and transmission coefficients of the THz radiation when analyzing the generation process. The observed radiation features correlate with the magneto-dipole mechanism, triggered by the ultrafast demagnetization of the ferromagnetic material. This research contributes to a better understanding of THz radiation generation mechanisms in ferromagnetic films and may be useful for the further development of THz technology applications in the field of spintronics and other related areas. A key discovery of our study is the identification of a nonmonotonic relationship between the radiation amplitude and pump intensity for thin films on semiconductor substrates. This finding is particularly significant considering that thin films are predominantly used in spintronic emitters due to the characteristic absorption of THz radiation in metals.

The obsolescence of sensibility: aesthetics and politics in ending time by Günther Anders

Günther Anders is still an almost secret thinker, even though his work has been progressively rediscovered in the last two decades. His reflections, moreover, are contained in a dispersed and varied work. That is why the purpose of these pages is the reconstruction of an aesthetical and political notion at the same time, present throughout it, with the aim of contributing to the discovery of a reading key that allows giving a unified image of this sparse set. It is about the idea of ​​the sensible opacity of the contemporary world, which would have been camouflaged in various ways to prevent human beings from becoming aware of their situation as mere co-historical beings with the true subject of history, technique. Through the analysis of its origin in his early writings on the philosophy of particular arts (literature, music, plastic) to its generalization as a critical key to read the dangers of the contemporary world (his and ours), it is our intention to highlight the actuality of a critical and materialistic thought that, arisen in the heat of events, has left a valuable legacy to think about our own present.

Enhancing Occupants’ Thermal Comfort in Buildings by Applying Solar-Powered Techniques

As most people spend their days indoors, it is indeed important that buildings provide residents with a higher standard of health, convenience, and safety. As a result, many practices are implemented into buildings to improve the comfort of occupants, particularly thermal comfort; nevertheless, the energy required to run and maintain these applications is a significant constraint. Renewable energy sources offer alternative solutions to energy demand problems, and selecting the best renewable energy sources is crucial. In this article, we examine the health and well-being advantages to the occupants, as well as the surrounding environment, of a variety of novel strategies that may be integrated into buildings to increase occupants’ thermal comfort for conventional practices using solar power. The key discoveries explored in this article include daylighting, passive ventilation, thermal applications, cooling applications, and power generation. For this, the information was gathered by a systematic review of the relevant prior literature. In addition, the detrimental effects of existing practices on the health and well-being of residents and the environment are included. While there are still some practical obstacles to overcome in the extraction of solar energy, the technology exists. Potential future obstacles to the broad acceptance and usage of solar energy systems in buildings are highlighted, as well as possible solutions.

Gene length is a pivotal feature to explain disparities in transcript capture between single transcriptome techniques.

The scale and capability of single-cell and single-nucleus RNA-sequencing technologies are rapidly growing, enabling key discoveries and large-scale cell mapping operations. However, studies directly comparing technical differences between single-cell and single-nucleus RNA sequencing are still lacking. Here, we compared three paired single-cell and single-nucleus transcriptomes from three different organs (Heart, Lung and Kidney). Differently from previous studies that focused on cell classification, we explored disparities in the transcriptome output of whole cells relative to the nucleus. We found that the major cell clusters could be recovered by either technique from matched samples, but at different proportions. In 2/3 datasets (kidney and lung) we detected clusters exclusively present with single-nucleus RNA sequencing. In all three organ groups, we found that genomic and gene structural characteristics such as gene length and exon content significantly differed between the two techniques. Genes recovered with the single-nucleus RNA sequencing technique had longer sequence lengths and larger exon counts, whereas single-cell RNA sequencing captured short genes at higher rates. Furthermore, we found that when compared to the whole host genome (mouse for kidney and lung datasets and human for the heart dataset), single transcriptomes obtained with either technique skewed from the expected proportions in several points: a) coding sequence length, b) transcript length and c) genomic span; and d) distribution of genes based on exons counts. Interestingly, the top-100 DEG between the two techniques returned distinctive GO terms. Hence, the type of single transcriptome technique used affected the outcome of downstream analysis. In summary, our data revealed both techniques present disparities in RNA capture. Moreover, the biased RNA capture affected the calculations of basic cellular parameters, raising pivotal points about the limitations and advantages of either single transcriptome techniques.

The Most Important Archaeological Discoveries Relating to the Neolithic to Early Iron Age Cultures of Siberia

On the basis of the current knowledge, key archaeological discoveries made in Siberia and the Russian Far East over the three centuries, and spanning the interval from the Neolithic to the Early Iron Age, are assessed. Principal scholars and their works are listed. Rescue excavations have made it possible to construct archaeological typologies and to model historical and cultural processes. D.G. Messerschmidt’s role as the discoverer of the Early Iron Age of Khakassia and of the Tom rock art site is described. Later, this rock art site was thoroughly studied by A.P. Okladnikov and A.I. Martynov. Achievements of the 20th century continued those of the 18th and 19th centuries. On the basis of typologies elaborated by S.A. Teploukhov for Khakassia, similar cultural and chronological models for neighboring areas of Western Siberia were constructed. A.P. Okladnikov’s typology for the Cis-Baikal Neolithic and Bronze Age were elaborated by his colleagues and students. The earliest stages of the Amur Neolithic with the most ancient ceramics in Northern Asia, dating to 16,780–14,200 cal BC, were described. E.N. Chernykh’s and S.V. Kuzminykh’s theory of SeimaTurbino—a transcultural phenomenon of key importance for the Eurasian Bronze Age—is outlined. While its basic features are better known today, their theory has retained its relevance. With regard to the Early Iron Age, the major excavations concerned mounds such as Arzhan-1, Arzhan-2, and Chinge-Teya-1 in Tuva. In the Altai Mountains, likewise outstanding Pazyryk kurgans (600–200 BC) were excavated. An entirely new stage in Scythian age archaeology was marked by N.V. Polosmak’s excavations of “frozen”, undisturbed burials of middle-ranking and low-ranking Pazyryk people on the Ukok Plateau. Similar burials were excavated by Z. Samashev and H.P. Francfort on the western slopes of the Altai. Pazyryk chronology was elaborated owing to the use of the tree-ring analysis.

Amateur Science and Innovation in Fireworks in Nineteenth-Century Europe

The categories of “amateur” and “professional” remain central in studies on the sociology of nineteenth-century science. This article joins a growing body of literature that points out the complicated and intersecting connections between these two groups and how blurred the boundaries could be. This study focuses on pyrotechny, the art of fireworks, a field of far more obvious importance in the nineteenth century than it is today. Firework displays were mounted by artisan firework makers, who by the end of the century had become industrialists, and by military specialists, usually artillerymen. They had also become a common amateur pursuit. Across the nineteenth century, the art was transformed by the introduction of new materials, and the key discoveries were the work of enthusiasts who did not seek to profit financially from their discoveries. In this sense, they too were amateurs, although some had a scientific education. This article asks how they were able to make such major contributions to the field, and it situates them within networks that often crossed the boundaries between those who made fireworks for a living, or who studied them in military contexts, and those who were simple enthusiasts.

Key Discoveries in Plant Pathology During the Past Half Century: Impacts on the Life Sciences and on Plant Disease Management

Plant pathology plays a critical role in safeguarding plant health, food security, and food safety through science-based solutions to protect plants against recurring and emerging diseases. In addition, plant pathology contributed significantly to basic discoveries that have had broad impacts on the life sciences beyond plant pathology. In December 2021, The American Phytopathological Society (APS) conducted a survey among its members and among the readership of its journals to identify and rank key discoveries in plant pathology that have had broad impacts on science and/or practical disease management during the past half century. Based on the responses received, key discoveries that have broadly impacted the life sciences during that period include the Agrobacterium Ti plasmid and its mechanism in T-DNA transfer, bacterial ice nucleation, cloning of resistance genes, discovery of viroids, effectors and their mechanisms, pattern-triggered immunity and effector-triggered immunity, RNA interference and gene silencing, structure and function of R genes, transcription activator-like effectors, and type-III secretion system and hrp/hrc. Major advances that significantly impacted practical disease management include the deployment and management of host resistance genes; the application of disease models and forecasting systems; the introduction of modern systemic fungicides and host resistance inducers, along with a better understanding of fungicide resistance mechanisms and management; and the utilization of biological controls and suppressive soils, including the implementation of methyl-bromide alternatives. In this special issue, experts from the pertinent fields review the discovery process, recent progress, and impacts of some of the highest ranked discoveries in each category while also pointing out future directions for new discoveries in fundamental and applied plant pathology.

Walking My Path Together with W. W. Phelps

Walking My Path Together with W. W. Phelps

Carbon nanotube network formation and configuration/morphology on reinforcing and conductive performance of polymer-based nanocomposites

The present research work shows that carbon nanotube network formation and configuration/morphology play significant role in mechanical and conductive performance of polymer-based nanocomposites. Using several experimental techniques and theoretical approaches, the main entities of the established networks with aligned and random morphology were identified, the underlying mechanisms of network formation and the nature of its building blocks were revealed, and the corresponding network effects on the mechanical and electrical performances of such nanocomposites using single-walled carbon nanotubes in low- and high-density polyethylene matrices were thoroughly studied. Results show that the formed network is in majority constructed from nanotube bundles, considered as stiff rod-like Brownian particles, geometrically entangled at the critical volume fraction φcv (geometrical percolation threshold). The geometrical percolation threshold was found to be independent of the network morphology (aligned of injection molded samples and random of compression molded samples). Moreover, the mechanical and rheological properties were found to be independent of the nanocomposite morphology. However, the electrical performance of such materials was surprisingly different, strongly dependent on the morphology (aligned versus random as defined above). The random configuration significantly decreases the transition of the nanocomposites from isolator to conductor. The electrical percolation threshold, φcve, was found to be by one order of magnitude lower than the corresponding geometrical threshold, thus profoundly improving the conductivity of such nanocomposites. This key discovery enables the production of not only highly reinforced and conductive nanocomposites, but also the ones with remarkable conductivity and flexibility with minimal addition carbon nanotubes.

Comment on: Women in rheumatology: major contributions and key discoveries of the twentieth century: reply.

Comment on: Women in rheumatology: major contributions and key discoveries of the twentieth century: reply.

Comment on: Women in rheumatology: major contributions and key discoveries of the twentieth century.

Journal Article Accepted manuscript Comment on: Women in rheumatology: major contributions and key discoveries of the twentieth century Get access Ihsane Hmamouchi, Ihsane Hmamouchi Health Sciences College, International University of Rabat (UIR), Rabat, MoroccoLaboratory of Biostatistical, Clinical and Epidemiological Research (LBRCE), Faculty of Medicine and Pharmacy, Rabat, Morocco Corresponding author: Ihsane Hmamouchi, Postal address: Laboratory of Biostatistics, Clinical Research and Epidemiology (LBRCE), Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco, Mobile +212661280297, E-mail ihsane.hmamouchi@gmail.com https://orcid.org/0000-0003-4402-5034 Search for other works by this author on: Oxford Academic PubMed Google Scholar Adewale Adebajo Adewale Adebajo Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, United KingdomNIHR Sheffield Biomedical Research Centre, Sheffield, United Kingdom Search for other works by this author on: Oxford Academic PubMed Google Scholar Rheumatology, kead146, https://doi.org/10.1093/rheumatology/kead146 Published: 25 March 2023 Article history Received: 06 February 2023 Accepted: 09 February 2023 Published: 25 March 2023

Complex regulation of flowering by high temperatures.

Global warming is expected to threaten plant growth and crop production This article is protected by copyright. All rights reserved.

Bitcoin Prediction with a hybrid model

. In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction accuracy criterion and matching curve-fitting in this work demonstrated that if the residuals of the revised model are white noise, the forecasts are unbiased. Future work investigating robust hybrid model forecasting using fuzzy neural networks would be very interesting.

PKI: A bioinformatics method of quantifying the importance of nodes in gene regulatory network via a pseudo knockout index

BackgroundGene regulatory network (GRN) is a model that characterizes the complex relationships between genes and thereby provides an informatics environment to measure the importance of nodes. The evaluation of important nodes in a GRN can effectively refer to their functional implications severing as key players in particular biological processes, such as master regulator and driver gene. Currently, it is mainly based on network topological parameters and focuses only on evaluating a single node individually. However, genes and products play their functions by interacting with each other. It is worth noting that the effects of gene combinations in GRN are not simply additive. Key combinations discovery is of significance in revealing gene sets with important functions. Recently, with the development of single-cell RNA-sequencing (scRNA-seq) technology, we can quantify gene expression profiles of individual cells that provide the potential to identify crucial nodes in gene regulations regarding specific condition, e.g., stem cell differentiation. ResultsIn this paper, we propose a bioinformatics method, called Pseudo Knockout Importance (PKI), to quantify the importance of node and node sets in a specific GRN structure using time-course scRNA-seq data. First, we construct ordinary differential equations to approach the gene regulations during cell differentiation. Then we design gene pseudo knockout experiments and define PKI score evaluation criteria based on the coefficient of determination. The importance of nodes can be described as the influence on the ODE system of removing variables. For key gene combinations, PKI is derived as a combinatorial optimization problem of quantifying the in silico gene knockout effects. ConclusionsHere, we focus our analyses on the specific GRN of embryonic stem cells with time series gene expression profile. To verify the effectiveness and advantage of PKI method, we compare its node importance rankings with other twelve kinds of centrality-based methods, such as degree and Latora closeness. For key node combinations, we compare the results with the method based on minimum dominant set. Moreover, the famous combinations of transcription factors in induced pluripotent stem cell are also employed to verify the vital gene combinations identified by PKI. These results demonstrate the reliability and superiority of the proposed method.

The Impact of Solid-State Physics on Modern Science: A Critical Review

Solid-state physics has played a crucial role in the development of modern science. This critical review explores the impact that solid-state physics has had on various fields, including materials science, condensed matter physics, and electronics. Solid-state physics has enabled the creation of new materials with novel properties, such as high-temperature superconductors and semiconductors. It has also revolutionized the field of electronics, leading to the development of microprocessors and computer technology. This review examines the historical context of solid-state physics and its significant contributions to the modern scientific landscape. Furthermore, this critical review evaluates the limitations and challenges that the field currently faces and discusses future directions for research. Ultimately, this review highlights the importance of solid-state physics in modern science and its potential for further breakthroughs in various scientific fields. The abstract introduces the topic of the impact of solid-state physics on modern science and briefly mentions the various fields that solid-state physics has contributed to. It also notes some of the key advances that solid-state physics has enabled, including the development of new materials with unique properties and the creation of electronic devices such as microprocessors. The abstract then goes on to provide more detail, exploring the historical context of solid-state physics and its significant contributions to the scientific landscape. This could include a discussion of some of the key discoveries and innovations that have arisen from solid-state physics research, as well as some of the prominent scientists who have worked in the field. The abstract also touches on some of the limitations and challenges that the field currently faces, such as the difficulty of working with complex materials and the need for new theoretical frameworks to better understand solid-state systems. Finally, it highlights the potential for further breakthroughs in various scientific fields, underscoring the ongoing importance of solid-state physics research. Overall, the abstract provides a comprehensive overview of the topic, laying out the key themes and arguments that the review will explore in more detail.

Discoveries Around the Hypothalamic-Pituitary-Thyroid Axis.

Many members of the American Thyroid Association played prominent roles in discovering the various aspects of the hypothalamic-pituitary-thyroid axis. This axis is fundamental for maintaining the normal serum levels of circulating thyroid hormones (THs) and thus the euthyroid state. The pituitary glycoprotein hormone, thyrotropin (TSH), controls the activity of the thyroid gland. Thyrotropin-releasing hormone and the negative feedback mechanism of circulating TH regulate the synthesis and the secretion of TSH. The dynamic interplay of these two dominant mechanisms has essential effects on TSH release. Therefore, the finding of abnormal serum levels of TSH often indicates the presence of a disorder of thyroid gland function. A summary of key historical discoveries in the understanding of the hypothalamic-pituitary axis is presented.

Synchronized Swarmers and Sticky Stalks: Caulobacter crescentus as a Model for Bacterial Cell Biology.

First isolated and classified in the 1960s, Caulobacter crescentus has been instrumental in the study of bacterial cell biology and differentiation. C. crescentus is a Gram-negative alphaproteobacterium that exhibits a dimorphic life cycle composed of two distinct cell types: a motile swarmer cell and a nonmotile, division-competent stalked cell. Progression through the cell cycle is accentuated by tightly controlled biogenesis of appendages, morphological transitions, and distinct localization of developmental regulators. These features as well as the ability to synchronize populations of cells and follow their progression make C. crescentus an ideal model for answering questions relevant to how development and differentiation are achieved at the single-cell level. This review will explore the discovery and development of C. crescentus as a model organism before diving into several key features and discoveries that have made it such a powerful organism to study. Finally, we will summarize a few of the ongoing areas of research that are leveraging knowledge gained over the last century with C. crescentus to highlight its continuing role at the forefront of cell and developmental biology.

High-Performance Lithium Metal Batteries Enabled by a Fluorinated Cyclic Ether with a Low Reduction Potential.

Electrolyte engineering is crucial for developing high-performance lithium metal batteries (LMB). Here, we synthesized two cosolvents methyl bis(fluorosulfonyl)imide (MFSI) and 3,3,4,4-tetrafluorotetrahydrofuran (TFF) with significantly different reduction potentials and add them into LiFSI-DME electrolytes. The LiFSI/TFF-DME electrolyte gave an average Li Coulombic efficiency (CE) of 99.41 % over 200 cycles, while the average Li CEs for MFSI-based electrolyte is only 98.62 %. Additionally, the TFF-based electrolytes exhibited a more reversible performance than the state-of-the-art fluorinated 1,4-dimethoxylbutane electrolyte in both Li||Cu half-cell and anode-free Cu||LiNi0.8 Mn0.1 Co0.1 O2 full cell. More importantly, the decomposition product from bis(fluorosulfonyl)imide anion could react with ether solvent, which destroyed the SEI, thus decreasing cell performance. These key discoveries provide new insights into the rational design of electrolyte solvents and cosolvents for LMB.

High‐Performance Lithium Metal Batteries Enabled by a Fluorinated Cyclic Ether with a Low Reduction Potential

AbstractElectrolyte engineering is crucial for developing high‐performance lithium metal batteries (LMB). Here, we synthesized two cosolvents methyl bis(fluorosulfonyl)imide (MFSI) and 3,3,4,4‐tetrafluorotetrahydrofuran (TFF) with significantly different reduction potentials and add them into LiFSI‐DME electrolytes. The LiFSI/TFF‐DME electrolyte gave an average Li Coulombic efficiency (CE) of 99.41 % over 200 cycles, while the average Li CEs for MFSI‐based electrolyte is only 98.62 %. Additionally, the TFF‐based electrolytes exhibited a more reversible performance than the state‐of‐the‐art fluorinated 1,4‐dimethoxylbutane electrolyte in both Li||Cu half‐cell and anode‐free Cu||LiNi0.8Mn0.1Co0.1O2 full cell. More importantly, the decomposition product from bis(fluorosulfonyl)imide anion could react with ether solvent, which destroyed the SEI, thus decreasing cell performance. These key discoveries provide new insights into the rational design of electrolyte solvents and cosolvents for LMB.

A characteristics analysis of carbon emission based on multi-dimensional carbon emission accounting methods and structural decomposition analysis: A case study of Beijing, China

The city’s industrial transformation leads to a large amount of carbon emissions, which poses a thorny problem for the allocation of carbon responsibilities. This study established a multi-dimension long-term carbon emission analysis model to explore the characteristic of Beijing’s embodied carbon emissions, which could calculate the production-based, consumption-based and income-based carbon emissions. Then, structural decomposition analysis was adopted to quantify the contribution of socioeconomic factors in local and imported carbon emissions. In addition, emission linkage analysis was used for revealing the long-term evolutionary trajectories of sectors. The key discovery can be summarized as follows: 1) the fluctuation trend of production-side and income-side carbon emissions in Beijing is stable and decreased by 3.53% from 2002 to 2017, while consumption-side carbon emissions increased rapidly by 795.45%. 2) The energy, transportation and other services sectors from the supply, production and consumption perspectives. 3)Per capita consumption, production structure and consumption structure are the major contributors of carbon emissions. The study is expected to provide decision support for policymakers to reasonably formulate carbon mitigation policies and allocate carbon mitigation responsibilities from multiple perspectives, and promote the realization of the “carbon peak and carbon neutrality” strategy.