bluuebunny/crossref_metadata_2025_split huggingface dataset:
Age-related loss of neural stem cell O-GlcNAc promotes a glial fate switch through STAT3 activation
Authors: White Charles W. , Fan Xuelai , Maynard Jason C. , Wheatley Elizabeth G. , Bieri Gregor , Couthouis Julien , Burlingame Alma L. , Villeda Saul A. 
Published: August 2020

SignificanceDepletion of the neural stem cell (NSC) pool is a major driver of age-related regenerative decline in the hippocampus. While increased quiescence is a major contributor to this decline, NSCs can also undergo terminal differentiation into astrocytes, thus restricting the stem cell pool. The mechanisms underlying this fate switch and their relation to age-related regenerative decline have not yet been fully elucidated. In this study, we report an age-related decline in NSC O-GlcNAcylation, coincident with reduced neurogenesis and increased gliogenesis. We identify loss of O-GlcNAcylation at STAT3 T717 in the hippocampus with age, and demonstrate that O-GlcNAcylation of this site is a critical determinant of NSC fate. Our work expands our understanding of how posttranslational modifications influence the aging brain.
Control of fear extinction by hypothalamic melanin-concentrating hormone–expressing neurons
Authors: Concetti Cristina , Bracey Edward F. , Peleg-Raibstein Daria , Burdakov Denis 
Published: August 2020

Significance
Excessive fear is a hallmark of disabling anxiety disorders that affect millions of people worldwide. Its suppression is thus of great interest, but the necessary brain components remain incompletely identified. We found that inappropriate, learning-resistant fear results from disruption of brain components not previously implicated in this disorder: hypothalamic melanin-concentrating hormone–expressing neurons (MNs). We show that the brain converts fear-inducing events into MN signals. These brief signals are necessary for healthy long-term flexibility of fear behavior. Without them, a fearful experience leads to abnormal treatment-resistant, relapsing fear reminiscent of posttraumatic stress disorder. These findings identify natural brain signals that suppress excessive fear behavior.
Heraclitus armeniacus
Authors: Jeck Udo Reinhold 
Published: August 2020

Abstract
It is a great loss to philosophy that Heraclitus’s writing was
lost in antiquity, for the surviving fragments rarely contain more than one
sentence. Often, they are succinct but concise statements that contain little
text. So, when one succeeds in augmenting important fragments with a few words
or illuminating their context, there is progress in Heraclitus research.
Sometimes, however, this requires recourse to lineages outside the Greek-Latin
tradition.
An example of this is provided by fragment 123, which has played
an important role since its discovery in the Orationes of
Themistius: in the 20th century, Martin Heidegger used it several times for his
idiosyncratic interpretation of Heraclitus and the philosophy of the
Pre-Socratics. However, he did not consider that an Armenian variant of this
fragment had become available at the beginning of the 19th century. This
Armenian variant derives from a treatise of Philo of Alexandria which has only
been transmitted in Armenian and offers more text than the Greek version. As
Diels-Kranz did not include this Armenian source in their edition of The
Fragments of the Pre-Socratics, this Armenian variant fell into
oblivion and was not known to Heidegger either.
Now this article, after introductory remarks on the transmission
of Heraclitus’s sayings in Themistius and Philo’s Heraclitea,
focuses on the history of the Armenian version of fragment 123 and its primary
interpretations. It concludes with a reconstruction of the remarks which
Ferdinand Lassalle dedicated to this fragment in both its Greek and Armenian
versions in 1858.
Freundschaft und Liebe bei Platon und Plotin
Authors: Schramm Michael 
Published: August 2020

Abstrakt
Der Artikel fragt nach der Rezeption von Platons Freundschafts- und Liebesbegriff bei Plotin. Zunächst wird gezeigt, dass Platons Liebestheorie im Symposion und im Phaidros gleichermaßen auf den Aufstieg zum Ideenhimmel und die Selbstvervollkommnung des Liebenden abzielt, wobei der Phaidros mit der Freundschaft als schwächerer, durch Reziprozität gekennzeichneter Form der Liebe die soziale Dimension des Aufstiegs und der Vervollkommnung thematisiert. Dann wird nachgezeichnet, inwiefern Plotins Liebes- und Freundschaftsbegriff Theorieelemente aus Platons Symposion und Phaidros fortentwickelt. Nach Plotin ist die Liebe das Movens des Aufstiegs zum Einen und die Freundschaft das Movens des dazu komplementären Abstiegs zur Vielheit. Es wird schließlich gezeigt, dass Platon wie Plotin ausschließlich an der philosophischen Freundschaft und Liebe interessiert sind und diese zentral für ihr Konzept von Erziehung und Selbsterziehung sind.
Die proklische Diotima
Authors: Schultz Jana 
Published: August 2020

Abstract
Diotima, the priestess of Plato’s Symposium, is an important reference for Proclus’ thinking about the role of women in philosophical and religious practices. This character does not just offer Proclus an example for women’s ability to attain the same level of virtue than men, but she is also a model for the joint work of philosophical and religious practices. Thereby she stands for practices which are orientated on the human condition and therefore depend on intermediary entities as demons, and for practices which transcend both the human condition and the intermediary entities. Most interesting in Proclus’ presentation of Diotima as a priestess and a philosopher is that he does not present her to fulfill these roles by masculinizing her soul through a sole focus on the intelligible entities – as for example Porphyry advises his wife Marcella – but by using the female element in her soul, i.e. the circuit of the Different, as an intermediate through which she can get in touch with the demons and – through them – also with higher entities. The ideal which Diotima incorporates is therefore not becoming masculine (despite having a female body) but harmonizing the male and female elements within the soul.
Die Theorie des Schönen des Johannes Scottus Eriugena
Authors: Koch Philipp 
Published: August 2020

Abstrakt
Der vorliegende Artikel befasst sich mit der Theorie des Schönen und der Schönheit im Denken des Johannes Scottus Eriugena, basierend auf seinem Hauptwerk Periphyseon, den ‚Aulae sidereae‘ (Carmen 25), einem Gedicht Eriugenas, und dem Kommentar zur Schrift ‚Über die himmlische Rangfolge‘ des Pseudo-Dionysius Areopagita. Dazu werden zunächst die metaphysischen Grundlagen für eine Theorie des Schönen im System des Eriugena, wie er sie im s.o. erarbeitet, kurz und prägnant vorgestellt: Für Eriugena ist das Seiende eine Erscheinung und Manifestation Gottes, des unsagbaren Prinzips, des Einen. Danach wird aufgezeigt, wie Eriugena das Schöne als Konkretwerdung des Einen denkt, wobei zuerst die Schönheit der Natur besprochen wird, um dann einen Blick auf den Sonderfall der menschengemachten Kunst zu werfen. Das Ergebnis der Untersuchung ist, dass Eriugena die Kunst als eine reflexive Haltung des Menschen zur Welt und ihrem Ursprung versteht.
Francesco Piccolomini on honor
Authors: Guldentops Guy 
Published: August 2020

Abstract
‘Honor’ is one of the key notions in Renaissance ethics. The present paper analyzes the honor code which Francesco Piccolomini (1520–1604) articulates in his Vniuersa Philosophia de Moribus. Drawing not only on Aristotle, Plato, and ancient Stoicism, but also on medieval and early-modern Christian authorities, he argues that ‘proper honor’ is situated in the inner of a virtuous person because “everybody is the artificer of their own merits of honor.” Despite the aristocratic and patriarchal aspects of his ethics, he propounds an interiorizing and non-militarist interpretation of honor, which runs parallel with Montaigne’s concept of vray honneur and even anticipates to some extent Kant’s Ehrliebe.
Listening and comprehension in interpreting
Authors: Díaz-Galaz Stephanie 
Published: August 2020

Abstract
The study of skilled listening comprehension shows that listening is a complex, dynamic, and interactive process that
enables listeners to understand a message and respond adequately to the requirements of communicative interaction. Individual factors, such
as language proficiency, working memory capacity, and previous knowledge, interact in the listening process and performance. Moreover,
skilled listeners deploy controlled strategies directed at making the best use of their abilities to achieve a specific communicative goal.
However, our understanding of individual variables, such as language proficiency, topic-specific knowledge, and the strategies that
interpreters use when listening for interpreting, remain mostly unexplored. This article presents listening comprehension as a goal-directed
activity and articulates recent research on individual factors involved in listening comprehension with current conceptions of comprehension
for interpreting. This review identifies relevant gaps in our understanding about the comprehension process in interpreting.
A modified trifilar pendulum for simultaneously determining the moment of inertia and the mass of an irregular object
Authors: Wang Hengyu , Fang Zheng , Zhao Weiliang , Rui Yunjun 
Published: August 2020

Abstract
In college physics experiments, a pendulum is often applied to measure the moment of inertia (J) of a rigid body. In this paper, we demonstrate a trifilar pendulum to determine not only J, but also the mass (m) of an irregular object. To this end, a standard weight is used to balance the pendulum, and a laser pointer is used to observe the amount of imbalance. According to the parallel axis theorem, a formula is deduced for the first time, which is related with m, J, oscillation period (T) of the pendulum, and the position (d) of the balancing standard. By the least squares fitting of a straight line to the experimental data of T
2 ∼ d
2, m and J can be obtained from the slope and intercept, respectively. It is found that the relative differences (between the experimental and theoretical values) of m and J are both less than 5.0% when four irregular objects (a tuning fork, a stainless steel meter ruler, an apple, and a bunch of keys) are tested. The reason for the difference and the improvement of this measuring system are discussed.
Fast design of plasmonic metasurfaces enabled by deep learning
Authors: Mall Abhishek , Patil Abhijeet , Tamboli Dipesh , Sethi Amit , Kumar Anshuman 
Published: August 2020

Abstract
Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for miniaturized optical elements. Finding a new design for a metasurface or optimizing an existing design for a desired functionality is a computationally expensive and time consuming process as it is based on an iterative process of trial and error. We propose a deep learning (DL) architecture dubbed bidirectional autoencoder for nanophotonic metasurface design via a template search methodology. In contrast with the earlier approaches based on DL, our methodology addresses optimization in the space of multiple metasurface topologies instead of just one, in order to tackle the one to many mapping problem of inverse design. We demonstrate the creation of a Geometry and Parameter Space Library (GPSL) of metasurface designs with their corresponding optical response using our DL model. This GPSL acts as a universal design and response space for the optimization. As an example application, we use our methodology to design a multi-band gap-plasmon based half-wave plate metasurface. Through this example, we demonstrate the power of our technique in addressing the non-uniqueness problem of common inverse design. Our network converges aptly to multiple metasurface topologies for the desired optical response with a low mean absolute error between desired optical response and the optical response of topologies searched. Our proposed technique would enable fast and accurate design and optimization of various kinds of metasurfaces with different functionalities.
Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR
Authors: Marin Thibault , Djebra Yanis , Han Paul K , Chemli Yanis , Bloch Isabelle , El Fakhri Georges , Ouyang Jinsong , Petibon Yoann , Ma Chao 
Published: August 2020

Abstract
Image quality of positron emission tomography (PET) reconstructions is degraded by subject motion occurring during the acquisition. Magnetic resonance (MR)-based motion correction approaches have been studied for PET/MR scanners and have been successful at capturing regular motion patterns, when used in conjunction with surrogate signals (e.g. navigators) to detect motion. However, handling irregular respiratory motion and bulk motion remains challenging. In this work, we propose an MR-based motion correction method relying on subspace-based real-time MR imaging to estimate motion fields used to correct PET reconstructions. We take advantage of the low-rank characteristics of dynamic MR images to reconstruct high-resolution MR images at high frame rates from highly undersampled k-space data. Reconstructed dynamic MR images are used to determine motion phases for PET reconstruction and estimate phase-to-phase nonrigid motion fields able to capture complex motion patterns such as irregular respiratory and bulk motion. MR-derived binning and motion fields are used for PET reconstruction to generate motion-corrected PET images. The proposed method was evaluated on in vivo data with irregular motion patterns. MR reconstructions accurately captured motion, outperforming state-of-the-art dynamic MR reconstruction techniques. Evaluation of PET reconstructions demonstrated the benefits of the proposed method in terms of motion artifacts reduction, improving the contrast-to-noise ratio by up to a factor 3 and achieveing a target-to-background ratio up to 90% superior compared to standard/uncorrected methods. The proposed method can improve the image quality of motion-corrected PET reconstructions in clinical applications.
Research on SDN Multi Controller Deployment based on K-means++
Authors: Yue Li , Junyan Chen , Chuxin Liang , Xiaochun Lei 
Published: August 2020

Abstract
In large-scale SDN network, a single centralized controller can not meet the demand, and multiple controllers are needed to deal with the problem, which leads to the problem of multi control balanced deployment. In this paper, the topology of SDN switches and links is known. The main research contents are as follows: the mathematical model of SDN multi controller deployment is established, and the appropriate network topology is selected and the multi controller deployment problem is solved. In the research, the number of controllers needed in the network and the switches managed by each controller is determined by the algorithm results, and the mapping relationship between controllers and switches is established. By analyzing the deployment results of the same network topology under different algorithms, the influence of different clustering algorithms on the experimental results is obtained. At the same time, the better deployment experiment results are simulated.
Semantic understanding processing model based on machine learning
Authors: Li Kunying , Ding Yu , Shi Ying , Xu Hongchao , Zeng Yufei 
Published: August 2020

Abstract
Machine learning and artificial intelligence have become very diverse, and progress h as been made in perception technology, which can recognize the senses of machines, including hearing, vision, smell, taste and touch. We are recently studying a technological change that ha s grown the dialogue information in our lives into a mainstream recognizable digital activity. T his project will build a conversation subject model in the computing framework, which tracks t he conversation speech behavior by the functional grammar model. The recognition of Machin e Cognition and logic language is the key path of our research. The language model used is Rol e and Reference Grammar (RRG) to decompose sentences and understanding. In addition, we find an optimization scheme to assist the main body thinking is internal effect and external effect. (1) The subject has its own emotions (anger, joy, sadness, disappointment, joy), which c an affect the subject’s state at any time. (2) the external effect of the subject is determined by pe ople and other subjects, and the intelligent conversation agent will get interaction and composit e response through two effects. The RRG directional link system will be used in the language f ramework to build a language model in the software to help the machine analyze human langua ge through speech behavior. This interactive language analysis model ensures that the machine can accurately define human meaning in intelligent conversation. In this project, we will impro ve the development of machine learning and artificial intelligence in human language recogniti on and analysis, and the technology is very useful in various human behaviors such as smart ho me, enterprise management and data analysis. There is no doubt that this technology will make a great contribution to human beings in the field of Computing Science in the future.
Research on Agricultural Food Safety Based on Blockchain Technology
Authors: Wang Ya , Yang Yanmei 
Published: August 2020

Abstract
As a disruptive Internet technology, blockchain technology is more open, authentic, and traceable than traditional Internet technology. Compared with the traditional food safety tracing system, the food safety tracing system based on blockchain technology has the advantages of reducing costs, improving efficiency, and facilitating supervision by the regulatory department or the general public. However, due to the short development time of the blockchain technology, the food safety under the “blockchain + agriculture” model will still face challenges such as lack of infrastructure and talent, higher hazards of information and data leakage, and lagging of relevant laws and regulations.
A Water Surface Moving Target Detection Based on Information Fusion Using Deep Learning
Authors: Zhang Wei , Yang Chi-fu , Jiang Feng , Gao Xian-zhong , Yang Kai 
Published: August 2020

Abstract
An unmanned surface vehicle (usually referred to as USV) is an unmanned surface ship that has been developed in recent years. Surface unmanned boats can be used for a variety of civil and military missions, such as marine environmental monitoring, personnel search, anti-mine mines; island map mapping, offshore facility maintenance, and hydrographic surveys. Therefore, the research on unmanned surface vehicles has important theoretical significance and practical application value. The optical image information collected by the camera and the point cloud information collected by the laser radar are used for information fusion, and the optical image is processed by the deep neural network to obtain the target type, the detection confidence and the target position. At the same time, the point cloud information of the lidar image is used to obtain the distance and orientation information of the target. Finally, the two information is combined to obtain the type of surface target or obstacle, the confidence of the detection, and the distance and bearing information from the unmanned surface vehicles.
An experimental and theoretical study on nanomachining forces along zigzag and armchair lattice orientations of monolayer MoS2
Authors: Li Meng , Zhang Yu , Wang Lu , Xi Ning , Xin Xiaoning , Jin Xiaoshi , Wu Meile 
Published: August 2020

Abstract
Recent progresses in the synthesis of large-area and stable atomically thin MoS2 have evoked enormous interest toward the future applications of two-dimensional (2D) electronics. Although considerable theoretical researches have been conducted to examine the zigzag and armchair lattice orientations of MoS2, which are closely related to the physical and chemical properties of this material, experimental investigations into these two orientations are still quite rare. In this paper, we present an experimental study on nanofabrication along the zigzag and armchair orientations of monolayer MoS2 using normal- and phase-mode AFM. After identifying the zigzag and armchair orientations, distinctly different nanofabrication forces along these two orientations are obtained, which are approximately 15.9 nN and 35.8 nN, respectively. To determine the underlying mechanism of this discrepancy, molecular dynamics simulation is performed. The simulated nanofabrication forces along the zigzag and armchair orientations are 12.16 ± 0.59 nN and 21.45 ± 0.74 nN, respectively, in good agreement with the experimentally measured ones. The results provide a better understanding of the zigzag and armchair lattice orientations of monolayer MoS2 as well as a promising approach to closed-loop fabrication of 2D materials with desirable lattice orientations.
Measurement of the small field output factors for 10 MV photon beam using IAEA TRS-483 dosimetry protocol and implementation in Eclipse TPS commissioning
Authors: Kinhikar Rajesh , Saini Vinay , Upreti Ritu Raj , Kale Shrikant , Sutar Avadhoot , Tambe Chandrashekhar , Kadam Sudarshan 
Published: August 2020

Abstract
Dosimetry of small fields (SF) is vital for the success of highly conformal techniques. IAEA along with AAPM recently published a code of practice TRS-483 for SF dosimetry. The scope of this paper is to investigate the performance of three different detectors with 10 MV with-flatting-filter (WFF) beam using TRS-483 for SF dosimetry and subsequent commissioning of the Eclipse treatment planning system (TPS version-13.6) for SF data. SF dosimetry data (beam-quality TPR
20,10(10), cross-calibration, beam-profile, and field-output-factor (F.O.F)) measurements were performed for PTW31006-pinpoint, IBA-CC01 and IBA-EFD-3G diode detectors in nominal field size (F.S) range 0.5 × 0.5cm2 to 10 × 10 cm2 with water and solid water medium using Varian Truebeam linac. However, Eclipse-TPS commissioning data was acquired using IBA-EFD-3G diode, and absolute dose calibration was performed with FC-65G detector. The dosimetric performance of the Eclipse-TPS was validated using TLD-LiF chips, IBA-PFD, and IBA-EFD-3G diodes. Dosimetric performance of the PTW31006-pinpoint, IBA-CC01, and IBA-EFD-3G detectors was successfully tested for SF dosimetry. The F.O.Fs were generated and found in close agreement for all F.S except 0.5 × 0.5cm2. It is also found that TPR20,10(10) value can be derived within 0.5% accuracy from a non-reference field using Palmans equation. Cross-calibration can be performed in F.S 6 × 6 cm2 with a maximum variation of 0.5% with respect to 10 × 10cm2. During profile measurement, the full-width half-maxima (FWHM) of F.S 0.5 × 0.5cm2 was found maximum deviated from the geometric F.S. In addition, Eclipse-TPS was commissioned along with some limitations: F.O.F below F.S 1 × 1cm2 was ignored by TPS, PDD and profiles were dropped from configuration below F.S 2 × 2 cm2, and F.O.F which does not satisfy the condition 0.7 < A/B < 1.4 (A and B are FWHM in cross-line and in-line direction) have higher uncertainty than specified in TRS-483. Validation tests for Eclipse-TPS generated plans were also performed. The measured dose was in close agreement (3%) with TPS calculated dose up to F.S 1.5 × 1.5cm2.