jimnoneill/paper-to-field-training huggingface dataset:
Effects of Hydro and Hormonal Seed Priming on Seed Germination of Milk Thistle under Saline Stress Condition

Field: Agricultural and Biological Sciences (Life Sciences)

Salinity is an abiotic stress which has harmful effects on germination of many plants. Therefore, high germination rate and vigorous early growth under salty soils is preferred. Seed priming is a way to increase salt tolerance of plants. An experiment was conducted to investigate the effect of seed priming on germination of milk thistle under salinity condition. The treatments were 4 levels of seed priming (no priming, distilled water as hydro priming and 0.5 and 1.0 mM salicylic acid) and 5 levels of salinity (0, 40 and 80 mM NaCl and 40 and 80 mM CaCl2). The experiment arranged as a factorial in a completely randomized design (CRD) with three replications. Results showed that salinity decreased germination percentage and germination rate to about 16 and 32% in 80 mM CaCl2 level compared to control, respectively. The highest mean germination time (5.7 day) were belonged to 80 mM CaCl2. Radicle and plumule length significantly decreased by 80 mM NaCl and 40 and 80 mM CaCl2. The lowest seedling weight and seed stamina observed in 80 mM CaCl2. 0.5 mM salicylic acid improved all traits except mean germination time as compared to control. Salicylic acid (0.5 mM) improved radicle length under 0, 40 and 80 mM NaCl salinity levels as well as increased plumule length at the 0 and 40 mM NaCl salinity conditions.
Percolation and limit theory for the Poisson lilypond model

Field: Mathematics (Physical Sciences)

The lilypond model on a point process in $d$-space is a growth-maximal system of non-overlapping balls centred at the points. We establish central limit theorems for the total volume and the number of components of the lilypond model on a sequence of Poisson or binomial point processes on expanding windows. For the lilypond model over a homogeneous Poisson process, we give subexponentially decaying tail bounds for the size of the cluster at the origin. Finally, we consider the enhanced Poisson lilypond model where all the balls are enlarged by a fixed amount (the enhancement parameter), and show that for $d > 1 $ the critical value of this parameter, above which the enhanced model percolates, is strictly positive.
Genetic Function Approximation and Bayesian Models for the Discovery of Future HDAC8 Inhibitors

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Background: Histone deacetylase (HDAC) 8 is one of its family members catalyzes the removal of acetyl groups from N-terminal lysine residues of histone proteins thereby restricts transcription factors from being expressed. Inhibition of HDAC8 has become an emerging and effective anti-cancer therapy for various cancers. Application computational methodologies may result in identifying the key components that can be used in developing future potent HDAC8 inhibitors. Results: Facilitating the discovery of novel and potential chemical scaffolds as starting points in the future HDAC8 inhibitor design, quantitative structure-activity relationship models were generated with 30 training set compounds using genetic function approximation (GFA) and Bayesian algorithms. Six GFA models were selected based on the significant statistical parameters calculated during model development. A Bayesian model using fingerprints was developed with a receiver operating characteristic curve cross-validation value of 0.902. An external test set of 54 diverse compounds was used in validating the models. Conclusions: Finally two out of six models based on their predictive ability over the test set compounds were selected as final GFA models. The Bayesian model has displayed a high classifying ability with the same test set compounds and the positively and negatively contributing molecular fingerprints were also unveiled by the model. The effectively contributing physicochemical properties and molecular fingerprints from a set of known HDAC8 inhibitors were identified and can be used in designing future HDAC8 inhibitors.
Preparatory Time–Related Hand Surgery Operating Room Inefficiency: A Systems Analysis

Field: Medicine (Health Sciences)

Background: No study exists on preparatory time—from patient’s entrance into the operating room to skin incision—and its role in hand surgery operating room inefficiency. The purpose of this study was to investigate the length and variability of preparatory time and assess the relationship between several variables and preparatory time. Methods: Consecutive upper extremity cases performed for a period of 1 month by hand surgeons were reviewed at 3 surgical sites. Preparatory time was compared across locations. Cases at one location were further analyzed to assess the relationship between preparatory time and several variables. Both traditional statistical methods and Shewhart control charts, a quality control tool, were used for data analysis. Results: A total of 288 cases were performed. The mean preparatory times at the 3 sites were 25.1, 25.7, and 20.7 minutes, respectivley. Aggregated preparatory time averaged 24.4 (range 7-61) minutes, was 75% the length of the surgical time, and accounted for 34% of total operating room time. Control charts confirmed substantial variability at all locations, signifying a poorly defined process. At a single site, where 189 cases were performed by 14 different surgeons, there was no difference in preparatory time by case type, American Society of Anesthesiologists status, or case start time. Preparatory time varied by surgeon and anesthesia type. Conclusions: Preparatory time was found to be a source of inefficiency, independent of the surgical site. Control charts reinforced large variations, signifying a poorly designed process. Surgeon seemingly plays an important, albeit likely indirect, role. Efforts to improve operating room workflow should include preparatory time.
Analyzing Mechanisms of Business Fluctuations involving Time-Varying Structure in Japan: Methodological Proposition and Empirical Study

Field: Economics, Econometrics and Finance (Social Sciences)

Abstract In this article, we present a comprehensive analysis of business cycles in Japan from 1975 to 2023, focusing on the mechanisms that underlie economic fluctuations. We develop a novel methodology to construct a comprehensive index of business cycles (CIBC) by integrating 30 indicators commonly used in business cycle analysis in Japan. Unlike traditional approaches, our method simultaneously incorporates all business cycle indicators with adjusted lags, which enhances its precision and scope. We decompose each indicator’s time series using an extended moving linear model, which ensures robustness amid abnormal fluctuations. We propose a two-lag time-varying loading factor model to analyze the lead-lag relationship between the CIBC and each variable using a distribution-free dynamic linear modeling method. In our analysis, we elucidate the complex interactions between key indicators and a common factor, which explains the dynamics of business fluctuations. We conducted a comprehensive empirical study using Japanese business cycle indicator data to demonstrate the performance of the proposed methodology. Despite its limitations, our study provides valuable insights that enable us to understand the mechanisms of business cycles in Japan from the perspective of empirical analysis. Our study lays the groundwork for future research in this area.
*-IDEALS AND FORMAL MORITA EQUIVALENCE OF *-ALGEBRAS

Field: Mathematics (Physical Sciences)

Motivated by deformation quantization, we introduced in an earlier work the notion of formal Morita equivalence in the category of *-algebras over a ring [Formula: see text] which is the quadratic extension by i of an ordered ring [Formula: see text]. The goal of the present paper is twofold. First, we clarify the relationship between formal Morita equivalence, Ara's notion of Morita *-equivalence of rings with involution, and strong Morita equivalence of C*-algebras. Second, in the general setting of *-algebras over [Formula: see text], we define "closed" *-ideals as the ones occurring as kernels of *-representations of these algebras on pre-Hilbert spaces. These ideals form a lattice which we show is invariant under formal Morita equivalence. This result, when applied to Pedersen ideals of C*-algebras, recovers the so-called Rieffel correspondence theorem. The triviality of the minimal element in the lattice of closed ideals, called the "minimal ideal", is also a formal Morita invariant and this fact can be used to describe a large class of examples of *-algebras over [Formula: see text] with equivalent representation theory but which are not formally Morita equivalent. We finally compute the closed *-ideals of some *-algebras arising in differential geometry.
The Current Perspectives on the Mammalian Zona Pellucida

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

The mammalian zona pellucida (ZP) is an extracellular matrix that surrounds ovarian oocytes, ovulated eggs, and preimplantation embryos, and it plays several important roles at different stages of reproduction. Newly developed technologies such as transgenic mouse production, database analysis of signal networks, and live-cell imaging have revealed novel findings about the ZP and fertilization. Assisted reproductive technology has also provided new insights into human ZP morphology and function. Recent micromanipulation technologies such as intracytoplasmic sperm injection, are very helpful for treatment of ZP-related infertility. This article describes the current understanding of the following aspects of the mammalian ZP: I) ZP structure, II) ZP functions, III) ZP-related infertility and IV) ZP-based immunocontraceptive vaccines.
A STUDY OF SMART CAMPUS ENVIRONMENT AND ITS SECURITY ATTACKS

Field: Computer Science (Physical Sciences)

Abstract. The smart campus is a sustainable and well-connected environment that aims to improve experience, efficiency and education. It uses a variety of interconnected components, smart applications and networked technologies to facilitate communication, make more efficient use of resources, improve performance, security and quality of campus services. However, as with many other smart environments, the smart campus is vulnerable to many security issues and threats that make it face many security-related challenges that limit its development. In our paper, we intend to provide an overview of smart campuses by highlighting the main applications and technologies used in this environment, presenting several vulnerabilities and susceptible attacks that affect data and information security in the smart campus. Moreover, we discuss the major challenges of smart campus and we conclude by overviewing some current security solutions to deal with campus security issues.
Central places and modality environments: An historical architecture of urban places

Field: Social Sciences (Social Sciences)

Cities, city regions and their structures are products of the historical construction of ‘hegemonic’ (Taylor 1999) networks. These networks define and make available the spaces of geopolitical entities like regions, nations, cities and neighbourhoods. Historically specific technical infrastructures – airways, waterways, motorways, railways, metros, tramways, urban streets – are the reality of these networks, articulating places and mediating action at global, regional, national, urban and neighbourhood levels. And regions, cities and intracity places are where these ‘levels’ of networks intersect and multiple logics and processes are coordinated and synchronised between. We relate this structure to Jane Jacobs’ idea of ‘organised complexity’. We explore and start to define the architecture of these spaces and places with their limits and their inter-articulations to eventually turn these into a model in the computer. This paper introduces the concepts of ‘movement culture’ and ‘modality environment’ which are designed to describe the socio-technical complexes of movement networks, travel technologies and ways of life that characterise ‘levels’ in this model and discuss what ‘level’ and ‘scale’ mean here.
Shaping a Creative Milieu: Creativity, Process, Pedagogy, Leadership, and Place

Field: Arts and Humanities (Social Sciences)

This paper surveys research in relation to the conditions and processes considered important in fostering creativity in a variety of contexts including cities, organizations, and learning environments. Two established schools of the arts, and their leaders, serve as case studies in the examination of milieu designed to foster creative thinking and work. The paper identifies ten characteristics found to be common in the formation of creative milieu by scholars in psychology, business, economics, anthropology, geography, leadership, urban studies, education, and the arts. Characteristics include exchanges across cultures and domains of knowledge, opportunities for serendipitous interactions and for solitude, risk-taking, stable economic conditions, inclusive leadership, open communication, and the presence of visual stimulants and other creative people and activity.
Neighborhood Geometric Center Scaling Embedding for SAR ATR

Field: Computer Science (Physical Sciences)

Feature extraction from high-dimensional synthetic aperture radar images is one of the key steps for SAR automatic target recognition. In this paper, we propose a new approach to SAR image feature extraction that is named neighborhood geometric center scaling embedding, which is based on manifold learning theory. In our framework, neighborhood geometric center scaling is introduced to construct neighborhood relationships. The samples are endowed with clear clustering directions in dimensionality reduction, and the classification is better conducted in the feature space than in the original space. Moreover, by introducing neighborhood geometric center scaling, the influence of neighbor parameters on recognition performance is reduced effectively. The experiment based on the Moving and Stationary Target Acquisition and Recognition database shows that the proposed method has better recognition performance and higher stability than other methods.
Field effect enhanced carrier-emission from InAs Quantum Dots

Field: Physics and Astronomy (Physical Sciences)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation S. Schulz, T. Zander, A. Schramm, Ch. Heyn, W. Hansen; Field effect enhanced carrier‐emission from InAs Quantum Dots. AIP Conf. Proc. 30 June 2005; 772 (1): 807–808. https://doi.org/10.1063/1.1994352 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Identifying molecular sugar responses in Arabidopsis

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Growth and development of a plant requires precise control and coordination mechanisms of sugar metabolism. The aim of this project is to understand how plants respond to changes in sugar levels at the molecular level. In our first approach Arabidopsis seedlings were grown in liquid medium with sucrose and then depleted of carbon before sucrose was resupplied. Soluble proteome derived phosphopeptides were analyzed quantitatively by mass spectrometry over five time points of sucrose resupply. This analysis identified a protein we named Sucrose C-terminus Dephosphorylated (SCDP). A carboxyterminal serine of SDP was rapidly dephosphorylated in response to sucrose and the same serine had previously been shown to be phosphorylated in response to ethylene. Null mutants of scdp showed a stunted growth phenotype. In our second approach we have used forward genetics to screen for suppressors of cob-2. cob-2 has an amino acid change in the COBRA protein, which is essential for cellulose biosynthesis. cob-2 is a conditional mutant showing a root swelling phenotype only in the presence of exogenous sugars. The mechanism of this sugar inducible phenotype is not known but may be linked to regulation of sugar homeostasis and sugar flux to cell walls. We screened an EMS mutagenised population of cob-2 and identified 8 mutants in which the sugar response was suppressed.
Wernicke encephalopathy with lesions in the bilateral abducens nuclei: a case report

Field: Medicine (Health Sciences)

A 35-year-old Japanese man had been treated for alcoholism until 6 months before coming to our hospital, after which he discontinued treatment for alcoholism. He noticed dizziness from two weeks ago. He visited our hospital because his dizziness was worsened and he noticed diplopia from two days ago. Physical examination revealed bilateral abducens nerve palsy, decreased limb tendon reflex, and ataxia. His blood vitamin B1 level was 16 ng/ml (normal range 24-66 ng/ml). FLAIR images on brain MRI showed high signal intensity lesions in the bilateral abducens nuclei and mammillary body. We diagnosed him as Wernicke encephalopathy (WE) with lesions in the bilateral abducens nuclei. Treatment with thiamine rapidly resulted in improvement of his neurological symptoms and MRI findings. He was discharged from our department on the 10th hospitalization day. Previous reports have shown that abducens nerve palsy and horizontal gaze evoked nystagmus may occur in the early state of WE. This case report highlights the importance to comprehend the atypical MRI findings of WE to treat a patient at the early stage.
Antibody-drug conjugate adverse effects can be understood and addressed based on immune complex clearance mechanisms

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Abstract Numerous antibody-drug conjugates (ADCs) are being developed for cancer immunotherapy. Although several of these agents have demonstrated considerable clinical efficacy and have won Food and Drug Administration (FDA) approval, in many instances, they have been characterized by adverse side effects (ASEs), which can be quite severe in a fraction of treated patients. The key hypothesis in this perspective is that many of the most serious ASEs associated with the use of ADCs in the treatment of cancer can be most readily explained and understood due to the inappropriate processing of these ADCs via pathways normally followed for immune complex clearance, which include phagocytosis and trogocytosis. We review the key published basic science experiments and clinical observations that support this idea. We propose that it is the interaction of the ADC with Fcγ receptors expressed on off-target cells and tissues that can most readily explain ADC-mediated pathologies, which therefore provides a rationale for the design of protocols to minimize ASEs. We describe measurements that should help identify those patients most likely to experience ASE due to ADC, and we propose readily available treatments as well as therapies under development for other indications that should substantially reduce ASE associated with ADC. Our focus will be on the following FDA-approved ADC for which there are substantial literatures: gemtuzumab ozogamicin and inotuzumab ozogamicin; and trastuzumab emtansine and trastuzumab deruxtecan.
Commission On Research Integrity Reshaping Definition Of Misconduct

Field: Social Sciences (Social Sciences)

RETURN TO ISSUEPREVNewsNEXTCommission On Research Integrity Reshaping Definition Of Misconduct▪ Panel members lean toward tossing out terms 'fabrication, falsification, and plagiarism' at the heart of current definitionPAMELA S. ZURERView Author Information C&EN WashingtonCite this: Chem. Eng. News 1995, 73, 27, 14–15Publication Date (Print):July 3, 1995Publication History Published online12 November 2010Published inissue 3 July 1995https://pubs.acs.org/doi/10.1021/cen-v073n027.p014https://doi.org/10.1021/cen-v073n027.p014newsACS PublicationsCopyright © 1995 American Chemical SocietyArticle Views9Altmetric-Citations1LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
Digitalization is Fueling a Revolution in Precision Oncology

Field: Medicine (Health Sciences)

In many areas of Medicine, the digital transformation has already largely impacted the way care is delivered to patients. A second transformation is underway, whereby the trove of data accumulated about individual patients' clinical journeys is exploited collectively to fuel the advent of Precision Medicine. For diseases such as cancer, it is recognized that the complexity of the pathology itself and the combinations of treatment lines goes beyond the scope of controlled randomized clinical trials. The necessary complement is real-world evidence, which can only be obtained in a statistically robust way if data can be collected from large cohorts of previously treated patients and analyzed using cutting-edge data analytics and machine learning approaches. Here we describe the challenges to overcome in order to make clinical data interoperable and accessible beyond single institutions. We also discuss the opportunities emerging from the recent ability to bring together data from increasingly rich sources such as medical imaging, digital pathology, and various -omics techniques, each of which is evolving fast, carried forward by its own digital transformation.