cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
L’empowerment des patients, l’affaire de tous les soignants.
Creators: name: Uka, Donika
name: Jousson, Liza Andrea
name: Robidel, Chloe Lisa
Publisher: name: Unknown
Year: 0
Subjects: subject: infirmière
subject: interventions infirmières
subject: empowerment
subject: auto-efficacité
subject: qualité de vie
subject: bien-être psychologique
subject: stratégies d'adaptation/coping
subject: croyances
subject: personnes âgées de 65 ans et plus
subject: douleur chronique non cancéreuse
subject: alliance thérapeutique
subject: hesav TB SI

description: Problématique : L’empowerment est un élément crucial dans la prise en charge des patients douloureux chroniques. En effet, placer le patient au centre et lui redonner le plein pouvoir concernant la gestion de sa santé favorise son sentiment d’auto-efficacité et son bien-être psychologique. Objectif : Par le biais d’une revue de littérature, l’objectif de ce travail était de déterminer quelles interventions infirmières pouvaient favoriser l’empowerment des patients de 65 ans et plus, souffrant de douleurs chroniques non-cancéreuses, afin de diminuer les douleurs et ainsi améliorer la qualité de vie. Méthode : La stratégie de recherche a été effectuée à l’aide des bases de données PubMed et CINHAL afin de pouvoir identifier et sélectionner six articles pertinents pour notre question de recherche. Les six articles retenus ont été analysés à l’aide des tableaux d’extraction des résultats. Résultats : La plupart des résultats des études sélectionnées démontrent que les douleurs chroniques ont un impact important sur les scores de dépression et d’anxiété, et donc une diminution du bien-être psychologique et de la qualité de vie. La plupart des interventions proposées ont permis de diminuer ces deux facteurs avec un impact clinique positif sur la qualité de vie, malgré qu’il ne soit pas statistiquement significatif. Ensuite, les résultats ont été mis en résonnance avec le modèle infirmier de McGill. Conclusion : Les patients bénéficient fortement d’un accompagnement infirmier centré sur eux et leurs forces, leurs priorités, leurs besoins et leurs objectifs, en prenant en compte leurs environnement et leur entourage. L’entretien motivationnel s’est révélé être un bon outil afin d’atteindre ce but, au travers d’une approche holistique et systémique.
Trovos nuevos en que un galán enamorado de su dama le manifiesta el escesivo amor: Digital edition
Creators: name: Leblanc Elina
Publisher: name: Zenodo
Year: 2024
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel, published by the Andalusian printer José María Moreno (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool Transkribus (PAGE-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
RNA-Seq profile of flavescence dorée phytoplasma in grapevine
Creators: name: Abba', Simona
name: Galetto, Luciana
name: Carle, Patricia
name: Carrère, Sébastien
name: Delledonne, Massimo
name: Foissac, Xavier
name: Palmano, Sabrina
name: Veratti, Flavio
name: Marzachì, Cristina
Publisher: name: figshare
Year: 2015
Subjects: subject: Computational Biology
subject: Plant Biology
subject: FOS: Biological sciences

description: Background The phytoplasma-borne disease flavescence dorée is still a threat to European viticulture, despite mandatory control measures and prophylaxis against the leafhopper vector. Given the economic importance of grapevine, it is essential to find alternative strategies to contain the spread, in order to possibly reduce the current use of harmful insecticides. Further studies of the pathogen, the vector and the mechanisms of phytoplasma-host interactions could improve our understanding of the disease. In this work, RNA-Seq technology followed by three de novo assembly strategies was used to provide the first comprehensive transcriptomics landscape of flavescence dorée phytoplasma (FD) infecting field-grown Vitis vinifera leaves. Results With an average of 8300 FD-mapped reads per library, we assembled 347 sequences, corresponding to 215 annotated genes, and identified 10 previously unannotated genes, 15 polycistronic transcripts and three genes supposedly localized in the gaps of the FD92 draft genome. Furthermore, we improved the annotation of 44 genes with the addition of 5′/3′ untranslated regions. Functional classification revealed that the most expressed genes were either related to translation and protein biosynthesis or hypothetical proteins with unknown function. Some of these hypothetical proteins were predicted to be secreted, so they could be bacterial effectors with a potential role in modulating the interaction with the host plant. Interestingly, qRT-PCR validation of the RNA-Seq expression values confirmed that a group II intron represented the FD genomic region with the highest expression during grapevine infection. This mobile element may contribute to the genomic plasticity that is necessary for the phytoplasma to increase its fitness and endorse host-adaptive strategies. Conclusions The RNA-Seq technology was successfully applied for the first time to analyse the FD global transcriptome profile during grapevine infection. Our results provided new insights into the transcriptional organization and gene structure of FD. This may represent the starting point for the application of high-throughput sequencing technologies to study differential expression in FD and in other phytoplasmas with an unprecedented resolution.
A Globally and Superlinearly Convergent Modified BFGS Algorithm for Unconstrained Optimization
Creators: name: Yang, Yaguang
Publisher: name: arXiv
Year: 2012
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: In this paper, a modified BFGS algorithm is proposed. The modified BFGS matrix estimates a modified Hessian matrix which is a convex combination of an identity matrix for the steepest descent algorithm and a Hessian matrix for the Newton algorithm. The coefficient of the convex combination in the modified BFGS algorithm is dynamically chosen in every iteration. It is proved that, for any twice differentiable nonlinear function (convex or non-convex), the algorithm is globally convergent to a stationary point. If the stationary point is a local optimizer where the Hessian is strongly positive definite in a neighborhood of the optimizer, the iterates will eventually enter and stay in the neighborhood, and the modified BFGS algorithm reduces to the BFGS algorithm in this neighborhood. Therefore, the modified BFGS algorithm is super-linearly convergent. Moreover, the computational cost of the modified BFGS in each iteration is almost the same as the cost of the BFGS. Numerical test on the CUTE test set is reported. The performance of the modified BFGS algorithm implemented in our MATLAB function is compared to the BFGS algorithm implemented in the MATLAB Optimization Toolbox function, a limited memory BFGS implemented as L-BFGS, a descent conjugate gradient algorithm implemented as CG-Descent 5.3, and a limited memory, descent and conjugate algorithm implemented as L-CG-Descent. This result shows that the modified BFGS algorithm may be very effective.
description: arXiv admin note: text overlap with arXiv:1212.5452
A Non-classification Result for Wild Knots
Creators: name: Kulikov, Vadim
Publisher: name: arXiv
Year: 2015
Subjects: subject: Geometric Topology (math.GT)
subject: General Topology (math.GN)
subject: FOS: Mathematics
subject: 03E15, 57M30, 57M25

description: Using methods of descriptive theory it is shown that the classification problem for wild knots is strictly harder than that for countable structures.
description: 29 pages, 2 figures
Trovos nuevos en que un galán enamorado de su dama le manifiesta el escesivo amor: Digital edition
Creators: name: Leblanc Elina
Publisher: name: Zenodo
Year: 2021
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel, published by the Andalusian printer José María Moreno (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool Transkribus (PAGE-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2022), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Trovos nuevos en que un galán enamorado de su dama le manifiesta el escesivo amor: Digital edition
Creators: name: Leblanc Elina
Publisher: name: Zenodo
Year: 2022
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel, published by the Andalusian printer José María Moreno (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool Transkribus (PAGE-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
NA Sequencing
Creators: name: R. Muthuvijayaragavan1* and K. Krishna Surendar2
Publisher: name: trends in Agriculture Science
Year: 2024

description: DNA double helix structure was first explained by Watson and Crick. The first natural polynucleotide DNA sequence was announced in 1953. Due to the development of many sequencing techniques, the entire human genome was sequenced in 2003 as a result of the Human Genome Project.  The goal of the Genome Project, a large-scale scientific initiative, is to investigate and evaluate the chemical sequence of the 50 000-100 000 genes that make up the human genome or the entire collection of all genetic material. The separation and examination of the genetic code included in DNA provide the basis for this huge project. Considering the size of the human genome, scientists must have developed new techniques for DNA analysis that can quickly, cheaply, and reliably analyse massive amounts of data. DNA sequencing methods requiring large- scale application have driven technology to both enhance capacity and decrease instrument size. This demand has prompted the creation of automated equipment that speeds up and lowers the cost of biochemical processes connected to sequencing, enhances the analysis of these reactions, and makes it simpler to enter the resulting data into databases (Behjati and Tarpey 2013). It was not possible for scientists at the time to sequence nearly a full gene because they could only sequence a few base pairs per year. Despite difficulties in the sequencing process, the first complete genome sequencing was completed with an explosion of RNA and DNA sequencing that improved procedures and provided new data. This eventually gave rise to the Maxam and Gilbert chemical degradation DNA sequencing method, which physically separates terminally tagged DNA fragments by electrophoresis and chemically cleaves specific bases of those pieces (Collings et al., 1998). Maxam-Gilbert, called the first-generation sequencing method, is based on chemical fragmentation of DNA and imaging with electrophoresis (Dogan et al., 2017). Later, a new technique with higher simplicity, reliability, and a lower hazardous level was developed. It was simply called the Sanger sequencing method. Automated Sanger DNA sequencing with fluorescent dye labels predominated when the Human Genome Project was finished in 2003 (Behjati and Tarpey 2013). Sanger technique, which uses fewer chemicals and is less harmful, is still regarded as the gold standard today (Zhang et al., 2021).

DNA sequencing refers to methods for determining the order of the nucleotide bases adenine,  guanine, cytosine, and thymine in a molecule of DNA. The first DNA sequence was obtained by academic researchers, using laboratories methods based on 2- dimensional chromatography in the early 1970s. By the development of dye based sequencing method with automated analysis, DNA sequencing has become easier and faster.
Extremality and dynamically defined measures, part II: Measures from conformal dynamical systems
Creators: name: Das, Tushar
name: Fishman, Lior
name: Simmons, David
name: Urbański, Mariusz
Publisher: name: arXiv
Year: 2015
Subjects: subject: Dynamical Systems (math.DS)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11J13, 11J83, 28A75, 37F35

description: We present a new method of proving the Diophantine extremality of various dynamically defined measures, vastly expanding the class of measures known to be extremal. This generalizes and improves the celebrated theorem of Kleinbock and Margulis [{\it Invent. Math.} {\bf 138}(3) (1999), 451--494] resolving Sprind\v zuk's conjecture, as well as its extension by Kleinbock, Lindenstrauss, and Weiss [On fractal measures and Diophantine approximation. {\it Selecta Math.} {\bf 10} (2004), 479--523], hereafter abbreviated KLW. As applications we prove the extremality of all hyperbolic measures of smooth dynamical systems with sufficiently large Hausdorff dimension, and of the Patterson--Sullivan measures of all nonplanar geometrically finite groups. The key technical idea, which has led to a plethora of new applications, is a significant weakening of KLW's sufficient conditions for extremality. In the first of this series of papers [{\it Selecta Math.} {\bf 24}(3) (2018), 2165--2206], we introduce and develop a systematic account of two classes of measures, which we call {\it quasi-decaying} and {\it weakly quasi-decaying}. We prove that weak quasi-decay implies strong extremality in the matrix approximation framework, as well as proving the ``inherited exponent of irrationality'' version of this theorem. In this paper, the second of the series, we establish sufficient conditions on various classes of conformal dynamical systems for their measures to be quasi-decaying. In particular, we prove the above-mentioned result about Patterson--Sullivan measures, and we show that equilibrium states (including conformal measures) of nonplanar infinite iterated function systems (including those which do not satisfy the open set condition) and rational functions are quasi-decaying.
description: Link to Part I: arXiv:1504.04778
Fixed Field Alternating Gradient Accelerators
Creators: name: Sheehy, Suzie
Publisher: name: CERN
Year: 2017
Subjects: Accelerators

description: These notes provide an overview of fixed-field alternating gradient accelerators (FFAGs) for medical applications. We begin with a review of the basic prin- ciples of this type of accelerator including the scaling and non-scaling FFAG types, highlighting beam dynamics issues that are of relevance to hadron accel- erators. The potential of the FFAG in the field of hadron therapy is discussed in detail including an overview of existing medical FFAG designs. The options for FFAG treatment gantries are also considered.
description: CERN Yellow Reports: School Proceedings, Vol 1 (2017): Proceedings of the CAS-CERN Accelerator School on Accelerators for Medical Applications
Reproductive consequences of transient pathogen exposure across host genotypes and generations
Creators: name: Ordovas-Montanes, Maria
name: Preston, Gail M.
name: Drew, Georgia C.
name: Rafaluk-Mohr, Charlotte
name: King, Kayla C.
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Caenorhabditis elegans
subject: host–pathogen interaction
subject: immunity
subject: maternal infection
subject: reproduction
subject: transgenerational effects
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: To maximize fitness upon pathogenic infection, host organisms might reallocate energy and resources among life-history traits, such as reproduction and defense. The fitness costs of infection can result from both immune upregulation and direct pathogen exploitation. The extent to which these costs, separately and together, vary by host genotype and across generations is unknown. We attempted to disentangle these costs by transiently exposing wild isolates and a lab-domesticated strain of Caenorhabditis elegans nematodes to the pathogen Staphylococcus aureus, using exposure to heat-killed pathogens to distinguish costs due to immune upregulation and pathogen exploitation. We found that host nematodes exhibit a short-term delay in offspring production when exposed to live and heat-killed pathogen, but their lifetime fecundity (total offspring produced) recovered to control levels. We also found genetic variation between host isolates for both cumulative offspring production and magnitude of fitness costs. We further investigated whether there were maternal pathogen exposure costs (or benefits) to offspring and revealed a positive correlation between the magnitude of the pathogen-induced delay in the parent's first day of reproduction and the cost to offspring population growth. Our findings highlight the capacity for hosts to recover fecundity after transient exposure to a pathogen.
The Impact and Opportunities of Generative AI in Fact-Checking
Creators: name: Wolfe, Robert
name: Mitra, Tanushree
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Generative AI appears poised to transform white collar professions, with more than 90% of Fortune 500 companies using OpenAI's flagship GPT models, which have been characterized as "general purpose technologies" capable of effecting epochal changes in the economy. But how will such technologies impact organizations whose job is to verify and report factual information, and to ensure the health of the information ecosystem? To investigate this question, we conducted 30 interviews with N=38 participants working at 29 fact-checking organizations across six continents, asking about how they use generative AI and the opportunities and challenges they see in the technology. We found that uses of generative AI envisioned by fact-checkers differ based on organizational infrastructure, with applications for quality assurance in Editing, for trend analysis in Investigation, and for information literacy in Advocacy. We used the TOE framework to describe participant concerns ranging from the Technological (lack of transparency), to the Organizational (resource constraints), to the Environmental (uncertain and evolving policy). Building on the insights of our participants, we describe value tensions between fact-checking and generative AI, and propose a novel Verification dimension to the design space of generative models for information verification work. Finally, we outline an agenda for fairness, accountability, and transparency research to support the responsible use of generative AI in fact-checking. Throughout, we highlight the importance of human infrastructure and labor in producing verified information in collaboration with AI. We expect that this work will inform not only the scientific literature on fact-checking, but also contribute to understanding of organizational adaptation to a powerful but unreliable new technology.
description: To be published at the ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2024
Ad hoc learning of peptide fragmentation from mass spectra enables an interpretable detection of phosphorylated and cross-linked peptides
Creators: name: Altenburg, Tom
name: Giese, Sven
name: Wang, Shengbo
name: Muth, Thilo
name: Renard, Bernhard Y.
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Machine learning
subject: Mass spectrometry
subject: Artificial Intelligence
subject: 000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik

description: Mass spectrometry-based proteomics provides a holistic snapshot of the entire protein set of living cells on a molecular level. Currently, only a few deep learning approaches exist that involve peptide fragmentation spectra, which represent partial sequence information of proteins. Commonly, these approaches lack the ability to characterize less studied or even unknown patterns in spectra because of their use of explicit domain knowledge. Here, to elevate unrestricted learning from spectra, we introduce ‘ad hoc learning of fragmentation’ (AHLF), a deep learning model that is end-to-end trained on 19.2 million spectra from several phosphoproteomic datasets. AHLF is interpretable, and we show that peak-level feature importance values and pairwise interactions between peaks are in line with corresponding peptide fragments. We demonstrate our approach by detecting post-translational modifications, specifically protein phosphorylation based on only the fragmentation spectrum without a database search. AHLF increases the area under the receiver operating characteristic curve (AUC) by an average of 9.4% on recent phosphoproteomic data compared with the current state of the art on this task. Furthermore, use of AHLF in rescoring search results increases the number of phosphopeptide identifications by a margin of up to 15.1% at a constant false discovery rate. To show the broad applicability of AHLF, we use transfer learning to also detect cross-linked peptides, as used in protein structure analysis, with an AUC of up to 94%.
Atomistic insight into the essential binding event of ACE2-derived peptides to the SARS-CoV-2 spike protein
Creators: name: Sarto, Carolina
name: Florez-Rueda, Sebastián
name: Arrar, Mehrnoosh
name: Hackenberger, Christian P. R.
name: Lauster, Daniel
name: Di Lella, Santiago
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: antivirals
subject: COVID-19
subject: inhibitors
subject: molecular dynamics
subject: MST
subject: RBD
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: The pathogenic agent of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters into human cells through the interaction between the receptor binding domain (RBD) of its spike glycoprotein and the angiotensin-converting enzyme 2 (ACE2) receptor. Efforts have been made towards finding antivirals that block this interaction, therefore preventing infection. Here, we determined the binding affinity of ACE2-derived peptides to the RBD of SARS-CoV-2 experimentally and performed MD simulations in order to understand key characteristics of their interaction. One of the peptides, p6, binds to the RBD of SARS-CoV-2 with nM affinity. Although the ACE2-derived peptides retain conformational flexibility when bound to SARS-CoV-2 RBD, we identified residues T27 and K353 as critical anchors mediating the interaction. New ACE2-derived peptides were developed based on the p6-RBD interface analysis and expecting the native conformation of the ACE2 to be maintained. Furthermore, we found a correlation between the helicity in trifluoroethanol and the binding affinity to RBD of the new peptides. Under the hypothesis that the conservation of peptide secondary structure is decisive to the binding affinity, we developed a cyclized version of p6 which had more helicity than p6 and approximately half of its K D value.
Fixed-Field Alternating-Gradient Accelerators
Creators: name: Sheehy, S. L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: These notes provide an overview of Fixed-Field Alternating-Gradient (FFAG) accelerators for medical applications. We begin with a review of the basic principles of this type of accelerator, including the scaling and non-scaling types, highlighting beam dynamics issues that are of relevance to hadron ac- celerators. The potential of FFAG accelerators in the field of hadron therapy is discussed in detail, including an overview of existing medical FFAG designs. The options for FFAG treatment gantries are also considered.
description: Notes composed for the 2015 CERN Specialised Accelerator School on Medical Accelerators. Submitted to CERN Yellow Reports series
Pemilihan Fitur Citra Hiperspektral Hymap Dan Model Prediksi Panen Padi Menggunakan Algoritma Genetika Dan Regresi Komponen Utama
Creators: name: Fanany, Mohamad Ivan
Publisher: name: figshare
Year: 2015
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences
subject: Soil Science
subject: Applied Computer Science

description: Citra hiperspektral Hymap yang terdiri dari jumlah band yang sangat banyak, memerlukan metode analisa yang canggih untuk menganalisanya. Salah satu pendekatannya adalah mengurangi computational cost, dengan mengeliminasi band yang tidak memberikan nilai tambah terhadap analisa maupun model prediksi yang akan dilakukan, yaitu dengan menggunakan algoritma genetika yang dipadukan dengan regresi komponen utama. Nilai fitness yang digunakan untuk menentukan jumlah band yang paling optimal adalah nilai error terkecil berdasarkan kaidah norm dari model prediksi yang dibangun. Model prediksi yang terbangun ini dapat diaplikasikan ke dalam citra hiperspektral Hymapuntuk mengetahui sebaran produksifitas padi di suatu wilayah. Citra hiperspektral Hymap yang terdiri dari jumlah band yang sangat banyak, memerlukan metode analisa yang canggih untuk menganalisanya. Salah satu pendekatannya adalah mengurangi computational cost, dengan mengeliminasi band yang tidak memberikan nilai tambah terhadap analisa maupun model prediksi yang akan dilakukan, yaitu dengan menggunakan algoritma genetika yang dipadukan dengan regresi komponen utama. Nilai fitness yang digunakan untuk menentukan jumlah band yang paling optimal adalah nilai error terkecil berdasarkan kaidah norm dari model prediksi yang dibangun. Model prediksi yang terbangun ini dapat diaplikasikan ke dalam citra hiperspektral Hymapuntuk mengetahui sebaran produksifitas padi di suatu wilayah.
ปัจจัยเสี่ยงที่มีความสัมพันธ์กับระดับตะกั่วในเลือดของเด็กอายุต่ำกว่า 5 ปีที่พักอาศัยอยู่ในชุมชนที่มีการประกอบอาชีพคัดแยกซากผลิตกัณฑ์เครื่องใช้ไฟฟ้าและอิเล็กทรอนิกส์: ตำบลแดงใหญ่ อำเภอบ้านใหม่ไชยพจน์ จังหวัดบุรีรัมย์
Creators: name: จักรี ศรีแสง
Publisher: name: สำนักจัดการความรู้ กรมควบคุมโรค กระทรวงสาธารณสุข
Year: 2556
Subjects: ระดับตะกั่วในเลือด
เด็กรับสัมผัสตะกั่ว
อาชีพการคัดแยกซากผลิตภัณฑ์เครื่องใช้ไฟฟ้าและอิเล็กทรอนิกส์

description: วารสารควบคุมโรค, 39, 4, 289-296
Identifying cow – level factors and farm characteristics associated with locomotion scores in dairy cows using cumulative link mixed models
Creators: name: Oehm, Andreas W.
name: Merle, Roswitha
name: Tautenhahn, Annegret
name: Jensen, K. Charlotte
name: Müller, Kerstin-Elisabeth
name: Feist, Melanie
name: Zablotski, Yury
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Biological locomotion
subject: Milk
subject: Gait analysis
subject: 600 Technik, Medizin, angewandte Wissenschaften::630 Landwirtschaft::630 Landwirtschaft und verwandte Bereiche

description: Lameness is a tremendous problem in intensively managed dairy herds all over the world. It has been associated with considerable adverse effects on animal welfare and economic viability. The majority of studies have evaluated factors associated with gait disturbance by categorising cows into lame and non-lame. This procedure yet entails a loss of information and precision. In the present study, we extend the binomial response to five categories acknowledging the ordered categorical nature of locomotion assessments, which conserves a higher level of information. A cumulative link mixed modelling approach was used to identify factors associated with increasing locomotion scores. The analysis revealed that a low body condition, elevated somatic cell count, more severe hock lesions, increasing parity, absence of pasture access, and poor udder cleanliness were relevant variables associated with higher locomotion scores. Furthermore, distinct differences in the locomotion scores assigned were identified in regard to breed, observer, and season. Using locomotion scores rather than a dichotomised response variable uncovers more refined relationships between gait disturbances and associated factors. This will help to understand the intricate nature of gait disturbances in dairy cows more deeply.
First-Fit coloring of Cartesian product graphs and its defining sets
Creators: name: Zaker, Manouchehr
Publisher: name: arXiv
Year: 2016
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Let the vertices of a Cartesian product graph $G\Box H$ be ordered by an ordering $σ$. By the First-Fit coloring of $(G\Box H, σ)$ we mean the vertex coloring procedure which scans the vertices according to the ordering $σ$ and for each vertex assigns the smallest available color. Let $FF(G\Box H,σ)$ be the number of colors used in this coloring. By introducing the concept of descent we obtain a sufficient condition to determine whether $FF(G\Box H,σ)=FF(G\Box H,τ)$, where $σ$ and $τ$ are arbitrary orders. We study and obtain some bounds for $FF(G\Box H,σ)$, where $σ$ is any quasi-lexicographic ordering. The First-Fit coloring of $(G\Box H, σ)$ does not always yield an optimum coloring. A greedy defining set of $(G\Box H, σ)$ is a subset $S$ of vertices in the graph together with a suitable pre-coloring of $S$ such that by fixing the colors of $S$ the First-Fit coloring of $(G\Box H, σ)$ yields an optimum coloring. We show that the First-Fit coloring and greedy defining sets of $G\Box H$ with respect to any quasi-lexicographic ordering (including the known lexicographic order) are all the same. We obtain upper and lower bounds for the smallest cardinality of a greedy defining set in $G\Box H$, including some extremal results for Latin squares.
description: Accepted for publication in Contributions to Discrete Mathematics
The intrinsically disordered TSSC4 protein acts as a helicase inhibitor, placeholder and multi-interaction coordinator during snRNP assembly and recycling
Creators: name: Bergfort, Alexandra
name: Hilal, Tarek
name: Kuropka, Benno
name: Ilik, İbrahim Avşar
name: Weber, Gert
name: Aktaş, Tuğçe
name: Freund, Christian
name: Wahl, Markus C.
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Biochemistry
subject: Molecular Biology
subject: Structural Biology
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: Biogenesis of spliceosomal small nuclear ribonucleoproteins (snRNPs) and their recycling after splicing require numerous assembly/recycling factors whose modes of action are often poorly understood. The intrinsically disordered TSSC4 protein has been identified as a nuclear-localized U5 snRNP and U4/U6-U5 tri-snRNP assembly/recycling factor, but how TSSC4’s intrinsic disorder supports TSSC4 functions remains unknown. Using diverse interaction assays and cryogenic electron microscopy-based structural analysis, we show that TSSC4 employs four conserved, non-contiguous regions to bind the PRPF8 Jab1/MPN domain and the SNRNP200 helicase at functionally important sites. It thereby inhibits SNRNP200 helicase activity, spatially aligns the proteins, coordinates formation of a U5 sub-module and transiently blocks premature interaction of SNRNP200 with at least three other spliceosomal factors. Guided by the structure, we designed a TSSC4 variant that lacks stable binding to the PRPF8 Jab1/MPN domain or SNRNP200 in vitro. Comparative immunoprecipitation/mass spectrometry from HEK293 nuclear extract revealed distinct interaction profiles of wild type TSSC4 and the variant deficient in PRPF8/SNRNP200 binding with snRNP proteins, other spliceosomal proteins as well as snRNP assembly/recycling factors and chaperones. Our findings elucidate molecular strategies employed by an intrinsically disordered protein to promote snRNP assembly, and suggest multiple TSSC4-dependent stages during snRNP assembly/recycling.
Expansivity and Shadowing in Linear Dynamics
Creators: name: Bernardes, Nilson C.
name: Cirilo, Patricia R.
name: Darji, Udayan B.
name: Messaoudi, Ali
name: Pujals, Enrique R.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: Primary 47A16. Secondary 37B05, 37C50, 54H20

description: In the early 1970's Eisenberg and Hedlund investigated relationships between expansivity and spectrum of operators on Banach spaces. In this paper we establish relationships between notions of expansivity and hypercyclicity, supercyclicity, Li-Yorke chaos and shadowing. In the case that the Banach space is $c_0$ or $\ell_p$ ($1 \leq p < \infty$), we give complete characterizations of weighted shifts which satisfy various notions of expansivity. We also establish new relationships between notions of expansivity and spectrum. Moreover, we study various notions of shadowing for operators on Banach spaces. In particular, we solve a basic problem in linear dynamics by proving the existence of nonhyperbolic invertible operators with the shadowing property. This also contrasts with the expected results for nonlinear dynamics on compact manifolds, illuminating the richness of dynamics of infinite dimensional linear operators.
Online Marginalized Linear Stacked Denoising Autoencoders for Learning from Big Data Stream
Creators: name: Fanany, Mohamad Ivan
Publisher: name: figshare
Year: 2016
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: Applied Computer Science
subject: Computer Engineering

description: Big non-stationary data, which comes in gradual fashion or stream, is one important issue in the application of big data to train deep learning machines. In this paper, we focused on a unique variant of traditional autoencoder, which is called Marginalized Linear Stacked Denoising Autoencoder (MLSDA). MLSDA uses a simple linear model. It is faster and uses less number of parameters than the traditional SDA. It also takes advantages of convex optimization. It has better improvement in the bag of words feature representation. However, the traditional SDA with stochastic gradient descent has been more widely accepted in many applications. The stochastic gradient descent is naturally an online learning. It makes the traditional SDA more scalable for streaming big data. This paper proposes a simple modification of MLSDA. Our modification uses matrix multiplication concept for online learning. The experiment result showed the similar accuracy level compared with a batch version of MLSDA and using lower computation resources. The online MLSDA will improve the scalability of MLSDA for handling streaming big data that representing bag of words features for natural language processing, information retrieval, and computer vision.
POSSIBILITIES OF SOCIAL AND SPIRITUAL SUPPORT FOR WOMEN AND IMPROVING LEGAL CULTURE
Creators: name: Rahmonova, Feruza
Publisher: name: Zenodo
Year: 2024

description: this article analyzes the improvement and strengthening of moral, political, social, legal, religious, spiritual and ideological relations between citizens in the process of the formation and development of civil society, the integration of education and upbringing in the process of social and spiritual support of women, the rise of their worldview .
How media presence triggers participation in citizen science—The case of the mosquito monitoring project ‘Mückenatlas‘
Creators: name: Pernat, Nadja
name: Zscheischler, Jana
name: Kampen, Helge
name: Ostermann-Miyashita, Emu-Felicitas
name: Jeschke, Jonathan M.
name: Werner, Doreen
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Mosquitoes
subject: Citizen science
subject: Scientists
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: Since 2012, the citizen science project ‘Mückenatlas’ has been supplementing the German mosquito monitoring programme with over 28,000 submissions of physical insect samples. As the factors triggering people to catch mosquitoes for science are still unknown, we analysed the influence of mass media reports on mosquito submission numbers. Based on a theoretical framework of how mass media affect citizen responsiveness, we identified five possible influencing factors related to citizen science: (i) project awareness and knowledge, (ii) attention (economy), (iii) individual characteristics of citizen scientists and targeted communication, (iv) spatial differences and varying affectedness, and (v) media landscape. Hypotheses based on these influencing factors were quantitatively and qualitatively tested with two datasets: clipping data of mass media reports (online, television, radio and print) referring to or focussing on the ‘Mückenatlas’, and corresponding data of ‘Mückenatlas’ submissions between 2014 and 2017. In general, the number of media reports positively affected the number of mosquito submissions on a temporal and spatial scale, i.e. many media reports provoke many mosquito submissions. We found that an already heightened public and media awareness of mosquito-relevant topics combined with a direct call-to-action in a media report title led to a maximum participation. Differences on federal state level, however, suggest that factors additional to quantitative media coverage trigger participation in the ‘Mückenatlas’, in particular the mosquito affectedness of the resident population. Lastly, media types appear to differ in their effects on the number of submissions. Our results show under which circumstances the media presence of the ’Mückenatlas’ is most effective in activating people to submit mosquito samples, and thus provide advice for designing communication strategies for citizen science projects.
Clidicostigus Jaloszynski, Brunke & Bai 2017
Creators: name: Cao, Hai-Jing
name: Liu, Yu-Wei
name: Liu, Hao-Yu
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Staphylinidae
Clidicostigus

description: Genus Clidicostigus Jałoszyński, Brunke & Bai, 2017
Clidicostigus Jałoszyński, Brunke & Bai, 2017: 112. Type species: Clidicostigus arachnipes Jałoszyński, Brunke & Bai, 2017. Cascomastigus Yin & Cai, 2017: 2. Type species: Cascomastigus monstrabilis Yin & Cai, 2017. Synonymized by Jałoszyński et al, 2018: 19.
description: Published as part of Cao, Hai-Jing, Liu, Yu-Wei & Liu, Hao-Yu, 2025, Taxonomic notes on † Clidicostigus arachnipes Jałoszyński, Brunke & Bai, 2017, a predominant ant-like stone beetle in the mid-Cretaceous Burmese amber, pp. 493-500 in Zootaxa 5621 (4) on page 495, DOI: 10.11646/zootaxa.5621.4.8, http://zenodo.org/record/15263131
What are ecological mechanisms? Suggestions for a fine-grained description of causal mechanisms in invasion ecology
Creators: name: Heger, Tina
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Invasion ecology
subject: Mechanistic explanation
subject: Hierarchy-of-hypotheses approach
subject: Causal network graphs
subject: Multicausality
subject: Connecting empiricism and theory
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: Invasion ecology addresses the spread of species outside of their native ranges. A central aim of this field is to find mechanistic explanations for why species are able to establish and spread in an area in which they did not evolve. Usually it remains unclear, however, what exactly is meant by ‘mechanistic explanation’ or ‘mechanism’. The paper argues that the field can benefit from the philosophical discussion of what a mechanism is. Based on conceptions of mechanisms as processes in concrete systems, causal mechanisms can be defined as one type of mechanism, representing recurring networks of causal relationships. With the example of a well-known hypothesized mechanism in invasion ecology, namely enemy release, the paper demonstrates how such causal mechanisms can be depicted as causal network diagrams. This approach could facilitate the development of step-by-step explanations, enhance clear argumentation and allow for more precise linkage of empirical tests to theory. Challenges to assessing the empirical relevance of hypothesized mechanisms are discussed, and suggestions are made concerning how the proposed approach could help in overcoming some of them.
Pose-based 3D Human Motion Analysis Using Extreme Learning Machine
Creators: name: Fanany, Mohamad Ivan
Publisher: name: figshare
Year: 2016
Subjects: subject: Computer Engineering
subject: Applied Computer Science
subject: 80104 Computer Vision
subject: FOS: Computer and information sciences
subject: 80602 Computer-Human Interaction
subject: FOS: Psychology

description: In 3D human motion pose-based analysis, the main problem is how to classify multi-class label activities based on primitive action (pose) inputs efficiently for both accuracy and processing time. Because, pose is not unique and the same pose can be anywhere on different activity classes. In this paper, we evaluate the effectiveness of Extreme Learning Machine (ELM) in 3D human motion analysis based on pose cluster. ELM has
reputation as eager classifier with fast training and testing time but the classification result originally has still low testing accuracy even by increasing the hidden nodes number and adding more training data. To achieve better accuracy, we pursue a feature
selection method to reduce the dimension of pose cluster training data in time sequence. We propose to use frequency of pose occurrence. This method is similar like bag of words which is a sparse vector of occurrence counts of poses in histogram as features for training data (bag of poses). By using bag of poses as the optimum feature selection, the ELM performance can be improved without adding network complexity (Hidden nodes number and training data).
The personality traits of self-made and inherited millionaires
Creators: name: Leckelt, Marius
name: König, Johannes
name: Richter, David
name: Back, Mitja D.
name: Schröder, Carsten
Publisher: name: Freie Universität Berlin
Year: 2022
Subjects: subject: Economics
subject: Psychology
subject: FOS: Psychology
subject: millionaires
subject: 300 Sozialwissenschaften::330 Wirtschaft::330 Wirtschaft

description: Very wealthy people influence political and societal processes by wielding their economic power through foundations, lobbying groups, media campaigns, as investors and employers. Because personality shapes goals, attitudes, and behaviour, it is important to understand the personality traits that characterize the rich. We used representative survey data to construct two large samples, one from the general population and one consisting of individuals with at least 1 million euros in individual net wealth, to analyse what personality traits characterize the wealthy and why their traits differ from those of the general population. High wealth was associated with higher Risk tolerance, Emotional Stability, Openness, Extraversion, and Conscientiousness. This “rich” personality profile was more prominent among individuals who had accumulated wealth through their own efforts (“self-mades”) than among individuals who had been born into wealth (“inheritors”). Thus, our evidence is suggestive of a unique configuration of personality traits contributing to self-made millionaires’ economic success.
Nearly Optimal Stochastic Approximation for Online Principal Subspace Estimation
Creators: name: Liang, Xin
name: Guo, Zhen-Chen
name: Wang, Li
name: Li, Ren-Cang
name: Lin, Wen-Wei
Publisher: name: arXiv
Year: 2017
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 65F99, 62H25, 68W27, secondary 62H12

description: Principal component analysis (PCA) has been widely used in analyzing high-dimensional data. It converts a set of observed data points of possibly correlated variables into a set of linearly uncorrelated variables via an orthogonal transformation. To handle streaming data and reduce the complexities of PCA, (subspace) online PCA iterations were proposed to iteratively update the orthogonal transformation by taking one observed data point at a time. Existing works on the convergence of (subspace) online PCA iterations mostly focus on the case where sample are almost surely uniformly bounded. In this paper, we analyze the convergence of a subspace online PCA iteration under more practical assumption and obtain a nearly optimal finite-sample error bound. Our convergence rate almost matches the minimax information lower bound. We prove that the convergence is nearly global in the sense that the subspace online PCA iteration is convergent with high probability for random initial guesses. This work also leads to a simpler proof of the recent work on analyzing online PCA for the first principal component only.
description: 34 pages. Accepted for publication in SCIENCE CHINA Mathematics
Partial vertex covers and the complexity of some problems concerning static and dynamic monopolies
Creators: name: Soltani, Hossein
name: Zaker, Manouchehr
Publisher: name: arXiv
Year: 2018
Subjects: subject: Combinatorics (math.CO)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Let $G$ be a graph and $τ$ be an assignment of nonnegative integer thresholds to the vertices of $G$. Denote the average of thresholds in $τ$ by $\barτ$. A subset of vertices $D$ is said to be a $τ$-dynamic monopoly, if $V(G)$ can be partitioned into subsets $D_0, D_1, \ldots, D_k$ such that $D_0=D$ and for any $i\in \{0, \ldots, k-1\}$, each vertex $v$ in $D_{i+1}$ has at least $τ(v)$ neighbors in $D_0\cup \ldots \cup D_i$. Denote the size of smallest $τ$-dynamic monopoly by $dyn_τ(G)$. Also a subset of vertices $M$ is said to be a $τ$-static monopoly (or simply $τ$-monopoly) if any vertex $v\in V(G)\setminus M$ has at least $τ(v)$ neighbors in $M$. Denote the size of smallest $τ$-monopoly by $mon_τ(G)$. For a given positive number $t$, denote by $Sdyn_t(G)$ (resp. $Smon_t(G)$), the minimum $dyn_τ(G)$ (resp. $mon_τ(G)$) among all threshold assignments $τ$ with $\overlineτ\geq t$. In this paper we consider the concept of partial vertex cover as follows. Let $G=(V, E)$ be a graph and $t$ be any positive integer. A subset $S\subseteq V$ is said to be a $t$-partial vertex cover of $G$, if $S$ covers at least $t$ edges of $G$. Denote the smallest size of a $t$-partial vertex cover of $G$ by $Pβ_t(G)$. Let $ρ$, $0<ρ<1$ be any fixed number and $G$ be a given bipartite graph with $m$ edges. We first prove that to determine the smallest cardinality of a set $S\subseteq V(G)$ such that $S$ covers at least $ρm$ edges of $G$, is an NP-hard problem. Then we prove that for any constant $t$, $Sdyn_{t}(G)=Pβ_{nt-m}(G)$ and $Smon_t(G)=Pβ_{nt/2}(G)$, where $n$ and $m$ are the order and size of $G$, respectively.