cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Cart. 188 (11 H 73), f. 0209r
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
name: Archives Départementales De La Côte-D'Or
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0209r, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0209r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
Framework for the local talent management centres
Creators: name: Lapeyre, Guillaume Frederic
name: Håvik, Bjarte
Publisher: name: DocTalent4EU Consortium
Year: 2024

description: The present deliverable presents the common conceptual and operational framework to be applied in the seven pilot centres within the DocTalent4EU project. This common conceptual and operational framework was developed through a mapping exercise of existing resources and structures carried out by each Higher Education Institution partner.

DocTalent4EU is a HORIZON EUROPE funded project which aims to enhance PhD employability through a strong, visible and innovative recognition-system of the most in-demand transferable skills that early-career researchers acquire or will acquire through their doctoral training and research activities.
Framework for the local talent management centres
Creators: name: Lapeyre, Guillaume Frederic
name: Håvik, Bjarte
Publisher: name: DocTalent4EU Consortium
Year: 2023

description: The present deliverable presents the common conceptual and operational framework to be applied in the seven pilot centres within the DocTalent4EU project. This common conceptual and operational framework was developed through a mapping exercise of existing resources and structures carried out by each Higher Education Institution partner.

DocTalent4EU is a HORIZON EUROPE funded project which aims to enhance PhD employability through a strong, visible and innovative recognition-system of the most in-demand transferable skills that early-career researchers acquire or will acquire through their doctoral training and research activities.
title: Appendix to Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry
Creators: name: Lohmer, Jacob Julien
Publisher: name: Technische Universität Dresden
Year: 2020
Subjects: Information Technology
Economics

description: Appendix to "Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry", accepted for publication in the 2020 IEEE International Conference on Industrial Engineering and Engineering Management. This research was supported in part by the EU project iDev40. The iDev40 project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 783163. The JU receives support from the European Union’s Horizon 2020 research and innovation program. It is co-funded by the consortium members, as well as grants from Austria, Germany, Belgium, Italy, Spain, and Romania. The content of this article does not reflect the official opinion of the Joint Undertaking ECSEL. Responsibility for the information and views expressed in the article lies entirely with the authors.
title: «Позитивный человек» в русской языковой картине мира
Creators: name: Зиновьева, Елена
name: Соколова, Анастасия
Publisher: name: Новгородский государственный университет имени Ярослава Мудрого (НовГУ)
Year: 2022

description: Человеческие эмоции универсальны, однако их вербализация в национальном языке имеет свои особенности. Статья посвящена исследованию прилагательного «позитивный», относящегося к ближней периферии синонимического ряда русских прилагательных, обозначающих приподнятое эмоциональное состояние. Прилагательное анализируется в аспекте отображения соответствующего фрагмента русской языковой картины мира. В статье подробно рассматриваются особенности семантики прилагательного, выявляются основные характеристики, входящие в представление о данном свойстве личности в русской лингвокультуре, особенности употребления прилагательного, грамматические параметры, а также оценка прилагательного носителями русского языка. Исследование осуществляется на основании данных лексикографических источников, контекстов «Национального корпуса русского языка» и интернет-источников, а также результатов анкетирования носителей русского языка. Результатом работы стало выявление стереотипного представления о позитивном человеке в русской языковой картине мира.
In planta functions of cytochrome P450 monooxygenase genes in the phytocassane biosynthetic gene cluster on rice chromosome 2
Creators: name: Zhongfeng Ye
name: Yamazaki, Kohei
name: Minoda, Hiromi
name: Miyamoto, Koji
name: Miyazaki, Sho
name: Kawaide, Hiroshi
name: Yajima, Arata
name: Nojiri, Hideaki
name: Yamane, Hisakazu
name: Okada, Kazunori
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: In response to environmental stressors such as blast fungal infections, rice produces phytoalexins, an antimicrobial diterpenoid compound. Together with momilactones, phytocassanes are among the major diterpenoid phytoalexins. The biosynthetic genes of diterpenoid phytoalexin are organized on the chromosome in functional gene clusters, comprising diterpene cyclase, dehydrogenase, and cytochrome P450 monooxygenase genes. Their functions have been studied extensively using in vitro enzyme assay systems. Specifically, P450 genes (CYP71Z6, Z7; CYP76M5, M6, M7, M8) on rice chromosome 2 have multifunctional activities associated with ent-copalyl diphosphate-related diterpene hydrocarbons, but the in planta contribution of these genes to diterpenoid phytoalexin production remains unknown. Here, we characterized cyp71z7 T-DNA mutant and CYP76M7/M8 RNAi lines to find that potential phytoalexin intermediates accumulated in these P450-suppressed rice plants. The results suggested that in planta, CYP71Z7 is responsible for C2-hydroxylation of phytocassanes and that CYP76M7/M8 is involved in C11α-hydroxylation of 3-hydroxy-cassadiene. Based on these results, we proposed potential routes of phytocassane biosynthesis in planta. C2-hydoroxylation and C11-hydorxylation are active in planta catalyzed by CYP71Z7 and CYP76M7/M8 leading to phytocassanes. New intermediates are found in this study.
EMPIRICAL INVESTIGATION OF THE EFFECT OF MANDATORY AUDITOR ROTATION AND FIRM SIZE ON AUDIT QUALITY IN GHANA
Creators: name: Solberg, Horve, Mishiwo
Publisher: name: SADI journals
Year: 2024
Subjects: MAR
Firm size
Audit quality
Hausman test
Keywords: MAR, Firm size, Audit quality, Hausman test, Random

description: Previous studies have verified that mandatory rotation of auditors enhances auditors’ independence and results in elevated audit criteria. The aim of this study is to analyze the influence of required auditor rotation (MAR) and firm size on the quality of audits while considering the factors of auditor experience and auditor independence, which have been overlooked in prior research. This research will substantially impact the existing body of knowledge. The study collected secondary data from 20 publicly traded companies on the Ghana stock exchange market, spanning 2014 to 2023. The Hausman test was applied to determine the random-effects logistic regression model. The results indicated that MAR, firm size, and auditor independence have a positive and significant impact on the audit quality of a firm. This suggests that higher MAR, larger firm size, and greater auditor independence are more likely to improve audit quality. Therefore, it is crucial for Ghanaian firms and other firms in Western African communities, as well as emerging economies worldwide, to implement mandatory auditor rotation to enhance auditor independence and audit quality. This, in turn, will positively impact the firm’s overall performance during the fiscal year
Computational elucidation, mutational and hot spot-based designing of potential inhibitors against human acid-sensing ion channels (hASIC-1a) to treat various physiological conditions
Creators: name: Anurag Singh Chauhan
name: Md Yousuf Ansari
name: Mansuri, Rani
name: Manas Ranjan Dikhit
name: Vahab Ali
name: Sahoo, Ganesh Chandra
name: Das, Pradeep
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified

description: Acid-sensing ion channels are ligand/proton-gated ion channels belonging to the family of the degenerin/epithelial Na+ channel (DEG/ENaC). They function as a sodium-selective pore for Ca2+ entry into neuronal cells during pathological conditions. The blocking of this channel has therapeutic importance, because at basal physiological pH (7.2), it is in a closed state and under a more acidic condition, and the ASIC1a ion channel is activated. To investigate the different states of the hASIC1a channel based on mutational analysis, structure-based virtual screening and molecular dynamics simulation studies. The system showed stability after 30 ns (after 1500 frame), and it was stabilized to an average value around 2.2Å. During the simulation, the ion channel residues in persistent contact with toxin PcTx1 were D237, E238, D347, D351, E219 and E355. These residues are important physiologically for the activation of the channel. From in silico alanine scanning, the significant hotspots obtained in hASIC1 are E344, P347, F352, D351, E355 and E219. From the sitemap analysis, it was evident that the sitemap found one of the active sites at the PcTx1 binding site with a site score of 1.086 and a D-score of 1.035 for hASIC1. We obtained a few promising hits and final potential hits from the virtual screening in hASIC1 that made interactions with the residues in the acidic pocket (E344, P347, F352, D351, E355 and E219). Based on these studies, the hits and scaffolds of potential therapeutic interest against various pathological conditions are associated with hASIC1a for future studies.
Imbalanced plasma ACE and ACE2 level in the uremic patients with cardiovascular diseases and its change during a single hemodialysis session
Creators: name: Chung-Wei Yang
name: Li-Che Lu
name: Chia-Chu Chang
name: Ching-Chang Cho
name: Wen-Yeh Hsieh
name: Chin-Hung Tsai
name: Yi-Chang Lin
name: Chih-Sheng Lin
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Ecology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Background: The renin-angiotensin system (RAS) has significant influences on heart and renal disease progression. Angiotensin converting enzyme (ACE) and angiotensin converting enzyme II (ACE2) are major peptidases of RAS components and play counteracting functions through angiotensin II (Ang II)/ATIR and angiotensin-(1–7) (Ang-(1–7))/Mas axis, respectively. Methods: There were 360 uremic patients on regular hemodialysis (HD) treatment (inclusive of 119 HD patients with cardiovascular diseases (CVD) and 241 HD patients without CVD and 50 healthy subjects were enrolled in this study. Plasma ACE, ACE2, Ang II and Ang-(1–7) levels of the HD patients were determined. Results: We compared pre-HD levels of plasma ACE, ACE2, Ang II and Ang-(1–7) in the HD patients with and without CVD to those of the controls. The HD patients, particularly those with CVD, showed a significant increase in the levels of ACE and Ang II, whereas ACE2 and Ang-(1–7) levels were lower than those in the healthy controls. Therefore, imbalanced ACE/ACE2 was observed in the HD patients with CVD. In the course of a single HD session, the plasma ACE, ACE/ACE2 and Ang II levels in the HD patients with CVD were increased from pre-HD to post-HD. On the contrary, ACE2 levels were decreased after the HD session. These changes were not detected in the HD patients without CVD. Conclusions: Pathogenically imbalanced circulating ACE/ACE2 was detected in the HD patients, particularly those with CVD. HD session could increase ACE/Ang II/AT1R axis and decrease ACE2/Ang-(1–7)/Mas axis activity in the circulation of HD patients with CVD.
Small spotted bodies with multiple specific mitochondrial DNAs: existence of diverse and differentiated tigrina lineages or species (Leopardus spp: Felidae, Mammalia) throughout Latin America
Creators: name: Ruiz-García, Manuel
name: Myreya Pinedo-Castro
name: Shostell, Joseph Mark
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Plant Biology

description: We analysed two sets of mitochondrial (mt) DNA data from tigrinas (traditionally, Leopardus tigrinus) we sampled in Costa Rica, Venezuela, Colombia, Ecuador, Peru, Bolivia, northwestern and northeastern Argentina and southern Brazil. Additionally, the analysis included some GenBank sequences from southern, central and northeastern Brazil. The first mt set (mt ATP8+mt 16S rRNA with 41 tigrina) revealed the existence of seven different tigrina-like haplogroups. They could represent, at least, 4–6 different tigrina species following the Phylogenetic Species Concept (PSC). In the second mt set (mitogenomics with 18 tigrinas), we detected six different tigrina-like haplogroups. They could represent 4–5 different tigrina species – including a possible full new species, which has gone previously unnoticed to the world of science both morphologic and molecularly. Coat patterns of several of these different tigrinas support the molecular differences. We also detected intense hybridization in many Andean tigrina with margays (Leopardus wiedii) and ocelots (Leopardus pardalis) as well as hybridization of one Bolivian tigrina with Leopardus geoffroyi. Similar hybridization was found for many of the southern Brazilian tigrina (Leopardus guttulus). All of the temporal split estimates for these tigrina haplogroups, together with those of the Leopardus species recognized to date, began in the late Pliocene but mostly occurred during the Pleistocene. In agreement with the existence of multiple species within the traditional L. tigrinus species, we detected strong and significant spatial structure in the two mt data sets. There were clear circular clines. A major part of the analyses detected more genetic resemblance between the Central American + trans Andean Colombian and Ecuadorian tigrina (L. oncilla) with the most geographically distant tigrina from central and southern Brazil (L. guttulus; pure individuals not hybridized with L. geoffroyi). In comparison, the Andean tigrina taxa had intermediate geographical origins but were highly genetically differentiated both from the Central American + trans Andean Colombian-Ecuadorian tigrina and from the central and southern Brazilian tigrina.
title: ADCO, Boursier de Cîteaux : comptes (1489-1493) (11 H 1166), f. 00479
Creators: name: de la Côte-d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2019
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Chartes de la Bourgogne du Moyen Âge
subject: comptes
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi

description: Boursier de Cîteaux : comptes (1489-1493), Archives départementales de la Côte-d'Or, (11 H 1166). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Boursier de Cîteaux : comptes (1489-1493), Archives départementales de la Côte-d'Or, (11 H 1166), f. 00479, in Projet CBMA - Corpus Burgundiae Medii Aevi \[Ressource en ligne\], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Discrete stochastic analogs of Erlang epidemic models
Creators: name: Getz, Wayne M.
name: Dougherty, Eric R.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Erlang differential equation models of epidemic processes provide more realistic disease-class transition dynamics from susceptible (S) to exposed (E) to infectious (I) and removed (R) categories than the ubiquitous SEIR model. The latter is itself is at one end of the spectrum of Erlang SEmInR models with m≥1 concatenated E compartments and n≥1 concatenated I compartments. Discrete-time models, however, are computationally much simpler to simulate and fit to epidemic outbreak data than continuous-time differential equations, and are also much more readily extended to include demographic and other types of stochasticity. Here we formulate discrete-time deterministic analogs of the Erlang models, and their stochastic extension, based on a time-to-go distributional principle. Depending on which distributions are used (e.g. discretized Erlang, Gamma, Beta, or Uniform distributions), we demonstrate that our formulation represents both a discretization of Erlang epidemic models and generalizations thereof. We consider the challenges of fitting SEmInR models and our discrete-time analog to data (the recent outbreak of Ebola in Liberia). We demonstrate that the latter performs much better than the former; although confining fits to strict SEIR formulations reduces the numerical challenges, but sacrifices best-fit likelihood scores by at least 7%.
Assessing trends and seasonal changes in elephant poaching risk at the small area level using spatio-temporal Bayesian modeling
Creators: name: Parinaz Rashidi
name: Skidmore, Andrew
name: Tiejun Wang
name: Roshanak Darvishzadeh
name: Shadrack Ngene
name: Vrieling, Anton
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Plant Biology

description: Knowledge about changes in wildlife poaching risk at fine spatial scale can provide essential background intelligence for law enforcement and crime prevention. We assessed interannual trends and seasonal changes in elephant poaching risk for Kenya’s Greater Tsavo ecosystem for 2002 to 2012 using spatio-temporal Bayesian modeling. Poaching data were obtained from the Kenya Wildlife Service’s database on elephant mortality. The novelty of our paper is (1) combining space and time when defining poaching risk for elephant; (2) the inclusion of environmental risk factors to improve the accuracy of the spatio-temporal Bayesian model; and (3) the separate analysis of dry and wet seasons to understand season-dependent poaching patterns. Although Tsavo’s overall poaching level increased over time, the risk of poaching differed significantly across space. Three of the 34 spatial units had a consistently high poaching risk regardless of whether models included environmental risk factors. Adding risk factors enhanced the model’s predictive power. We found that highest poaching risk areas differed between the wet and dry season. The findings improve our understanding of elephant poaching and highlight high risk areas within Tsavo where action to reduce elephant poaching is required.
title: ADCO, Cart. 186 (11 H 71), f. 0200v
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la Côte-d'Or, C
art. 186 (11 H 71). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la
 Côte-d'Or, Cart. 186 (11 H 71), f. 0200v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-
project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Discrete stochastic analogs of Erlang epidemic models
Creators: name: Getz, Wayne M.
name: Dougherty, Eric R.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Erlang differential equation models of epidemic processes provide more realistic disease-class transition dynamics from susceptible (S) to exposed (E) to infectious (I) and removed (R) categories than the ubiquitous SEIR model. The latter is itself is at one end of the spectrum of Erlang SEmInR models with m≥1 concatenated E compartments and n≥1 concatenated I compartments. Discrete-time models, however, are computationally much simpler to simulate and fit to epidemic outbreak data than continuous-time differential equations, and are also much more readily extended to include demographic and other types of stochasticity. Here we formulate discrete-time deterministic analogs of the Erlang models, and their stochastic extension, based on a time-to-go distributional principle. Depending on which distributions are used (e.g. discretized Erlang, Gamma, Beta, or Uniform distributions), we demonstrate that our formulation represents both a discretization of Erlang epidemic models and generalizations thereof. We consider the challenges of fitting SEmInR models and our discrete-time analog to data (the recent outbreak of Ebola in Liberia). We demonstrate that the latter performs much better than the former; although confining fits to strict SEIR formulations reduces the numerical challenges, but sacrifices best-fit likelihood scores by at least 7%.
A systematic mapping study of process mining
Creators: name: Maita, Ana Rocío Cárdenas
name: Martins, Lucas Corrêa
name: Paz, Carlos Ramón López
name: Rafferty, Laura
name: Hung, Patrick C. K.
name: Sarajane Marques Peres
name: Fantinato, Marcelo
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.
Management of gastrointestinal complications in hereditary transthyretin amyloidosis: a single-center experience over 40 years
Creators: name: Wixner, Jonas
name: Suhr, Ole B.
name: Anan, Intissar
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases
subject: Computational Biology

description: Introduction: Hereditary transthyretin amyloidosis (ATTRm amyloidosis) is a rare disease caused by the deposition and accumulation of insoluble non-native transthyretin fibrils in the body. The disease inevitably results in widespread organ disruption, and poor life expectancy. The GI tract is one organ system vulnerable to disruption and, although the clinical presentation of the disease varies, GI involvement affects most patients with ATTRm amyloidosis. Areas covered: This article presents our experience with diagnosing and treating the GI symptoms of ATTRm amyloidosis patients at our center over the last 40 years, in the Swedish clustering area of the disease. Our aim is to help other physicians to better manage GI complications in patients with this rare but widespread condition. Expert commentary: GI symptoms are debilitating complications for ATTRm amyloidosis patients to experience, yet with the appropriate questioning and diagnosis methods, symptomatic treatments of these symptoms can be implemented to provide relief. Further, patients with fewer GI complications and a good nutritional status are also better candidates for liver transplantation which, in selected cases, is the best disease-modifying treatment of ATTRm amyloidosis to date.
The role of Divine Mother – Ācārya dr. Sthaneshwar Timalsina
Creators: name: Timalsina, Staneshwar
Publisher: name: Zenodo
Year: 2022
Subjects: Guhyakālī
Kubjika
amnaya
Kaula
timalsina
Divine Mother
consciousness
krama
Kula
Īśāna
shakta upāya
Saundaryalahari
Mālinīvijayottaratantra
Chandi
advaita vedanta
sthaneshwar timalsina
vimarsha-foundation
Sarvamnaya
Abhinavagupta
vedanta
Kali
Devi Mahatmya
trika
Spanda
Shiva Sutra
Tantra
mahadeva
saivadvaita
shakti
sarvamnaya-oral-tradition-archive
Vasugupta
Tripura Rahasya
sarvamnaya
anava upaya
agama
Sadāśiva
Camunda
Shiva
Bhairava
yantra
Mahakali
tripura
Tantric philosophy
Shaiva
tantraloka
Durga
shambhava
Kashmir Shaivism
Tripurasundari

description: NEXT FREE COURSE – ON DEVĪ MĀHĀTMYA offered by Śaivācārya Prof. Sthaneshwar Timalsina:
https://www.vimarshafoundation.org/courses

In this clip from his dialogue with Swami Sarvapriyananda, the role of the Divine Mother is explained by Śaivācārya Sthaneshwar Timalsina, and how she is non-different from Supreme Consciousness. She is the power of reflectivity(vimarśa) or autonomy(svātantrya) of the Consciousness, the means by which the Absolute can manifest the manifold, without losing his pristine state.

https://www.vimarshafoundation.org/courses

The full video: https://www.youtube.com/watch?v=V-vDexl5xTw

Original YouTube video: https://www.youtube.com/watch?v=8p-HfGSED5s

This presentation is part of the Sarvāmnāya Oral Tradition Archive.
Vimarsha Foundation. (2025). The Sarvāmnāya Oral Tradition Archive [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15188107
Learning from conditionals: A critical assessment of recent proposals
Creators: name: Lipp, Tobias
Publisher: name: Zenodo
Year: 2022
Subjects: learning conditional information
Jeffrey conditionalization
Bayesian conditionalization
indicative conditionals
minimization of f-divergences
Judy Benjamin problem
Lena the scientiest problem
Bayesian epistemiology
Bayesianism
Belief revision

description: An agent who learns the indicative conditional ’If A, then B.’ should update her credences P over A and B. The central question is how should the update be. The learning is typically modelled in a probabilistic framework which allows to consider non-strict conditionals and partial believes and to apply the reasoning from Bayesian epistemiology. It is generally thought that if the conditional is non-strict, the problem is underdetermined by Bayesian norms. In this article we show that this is actually not the case. There is no need/space for additional principles. Jeffrey conditionalisation determines completely the update. The update is appropriate for the Judy Benjamin problem and for the more general Lena the scientist problem.
description: {"references": ["Bradley, R. (2005). Radical probabilism and bayesian conditioning. Philosophy of Sci- ence 72 (2), 342\u2013364.", "Douven, I. and J.-W. Romeijn (2011). A new resolution of the judy benjamin problem. Mind 120 (479), 637\u2013670.", "Eva, B., S. Hartmann, and S. R. Rad (2020). Learning from conditionals. Mind 129 (514), 461\u2013508.", "Hartmann, S. and U. Hahn (2021). How to revise beliefs from conditionals: A new proposal. In Proceedings of the Annual Meeting of the Cognitive Science Society, Vol- ume 43.", "Popper, K. and D. Miller (1983). A proof of the impossibility of inductive probability. Nature 302 (5910), 687\u2013688.", "van Fraassen, B. C. (1981). A problem for relative information minimizers in probability kinematics. The British Journal for the Philosophy of Science 32 (4), 375\u2013379."]}
A systematic mapping study of process mining
Creators: name: Maita, Ana Rocío Cárdenas
name: Martins, Lucas Corrêa
name: Paz, Carlos Ramón López
name: Rafferty, Laura
name: Hung, Patrick C. K.
name: Sarajane Marques Peres
name: Fantinato, Marcelo
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery (71%) as the main type of process mining addressed and ‘categorical prediction (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation (9%) and ‘decision tree (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.
title: ADCO, Cartulaire de Cîteaux pour la grange et seigneurie d'Ouges (XVe siècle), Cart. 173 (11 H 939), 226 folios, f. 0466
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2015
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge

description: Cartulaire de Cîteaux pour la grange et seigneurie d'Ouges (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 173 (11 H 939), 226 folios, f. 0466, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour la grange et seigneurie d'Ouges (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 173 (11 H 939), 226 folios, f. 0466, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
A converse and contrast rescaling method for x-ray images
Creators: name: Watcharabutsarakham, Sarin
name: Narkbuakaew, Walita
Publisher: name: Monash University
Year: 2017
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: 80109 Pattern Recognition and Data Mining

description: The contrast of intensity in x-ray images prior to image processing but contrast process dose not include any degradation of images. Many x-ray images are damage due to converse and contrast process. This paper proposed the technique for converse the gray level from the x-ray projection images and contrast-stretching the images. The characteristic of the objects are clearly appearing by this technique. Otherwise, the technique is suitable for the large variety of gray tones of image data. The experiment section uses the CNR to verify the contrast of images. This experiment results are satisfy as a preprocess prior to reconstruction process. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
Redlining in Prince George’s County, Maryland
Creators: name: Cheng, Edward
name: Kim, Bo
name: Martinez, Angela
name: Thapa, Mimika
name: Thomas, Lauren
Publisher: name: Partnership for Action Learning in Sustainability (PALS)
Year: 2019
Subjects: National Center for Smart Growth
PALS
Sustainability
Maryland
Prince George's County
iSchool
Community and Social Sustainability
Fall 2019
TJ Rainsford

description: Final project for INST490: Integrative Capstone (Fall 2019). University of Maryland, College Park.
description: The project goal was to provide the Prince George’s Planning Department with geographic information regarding historical redlining in the County. Redlining is the act of denying a person the ability to buy property or a house within a specific area due to their race or ethnicity. This project allowed us to understand the impact that redlining has on Prince George’s County. In PGAtlas.com, we obtained county addresses and their associated plat numbers to look up subdivision plats. We scanned property deeds that accompany subdivision plats to see if there were any deed restrictions that might indicate redlining. We compiled a data table of 15 redlined addresses in the County and provided map entries for a story map on the ArcGis story map. The story map helps show how certain areas in the County were targeted with redlining in the 1890s through the 1940s. In addition, the story map outlines the history of redlining in other areas and how Prince George’s County is one of many communities to have been affected. Our contacts for the project were Prince George’s County Planning Department staff, Dr. Jennifer Stabler and Karen Mierow. We also worked with Kimberly Fisher and Lily Murnen of the Partnership for Action Learning in Sustainability (PALS) program. Our project required understanding both clients’ goals and objectives to achieve a final product agreed on by both parties.
Integrating biological information for enhanced function annotation of serine proteases in Drosophila melanogaster
Creators: name: Tripathi, Lokesh P.
Publisher: name: Monash University
Year: 2017
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: 80109 Pattern Recognition and Data Mining

description: Uncovering functional associations for genes and gene products is a significant challenge. Studies have emerged that employ knowledge-based procedures to extract functional data for genes from a variety of biological sources. However, data derived from a single biological resource often provides only a limited perspective on their functional associations largely due to systematic bias in the underlying data. The post-genomic era has seen the emergence of studies that aim to infer functional associations by combining many biological evidence types. These are expected to provide better insights into the functional aspects of diverse genes, genomes and networks. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
Determining the main factors contributing to xylanase resistance to different pH by applying the asymptotic distribution of a transformation on the Pearson correlation coefficient
Creators: name: Ebrahimi, Esmaeil
name: Ebrahimi, Mansour
name: Ebrahimi, Mahdi
name: Zinati, Zahra
name: Delavari, Azar
name: Mohammadi-Dehchesmah, M.
Publisher: name: Monash University
Year: 2017
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: 80109 Pattern Recognition and Data Mining

description: The main role of xylanolytic enzyme, β-endoxylanase (1,4-β-D-xylan xylanohydrolase, EC 3.2.1.8) is to convert the polymer xylan to xylosaccharides. Many xylanase and xylosidase genes from fungi and bacteria have been analyzed and their encoded enzymes have been isolated and characterized. It has already been shown that those enzymes are active at a limited range of pH (with maximum, minimum and mean ± SE, 8, 2 and 5.47 ± 0.286, respectively). In some industries need for active enzymes in both alkaline and acidic pH have been elaborated and understanding the main factors contributing in pH resistance of theses enzymes are very important. So we looked at more than seventy properties of 30 xylanase proteins (active in different pH) by applying a feature selection algorithm which assigned a p value to each attribute based on the asymptotic distribution of a transformation on the Pearson correlation coefficient. The attributes were then sorted in a descending order of their importance to xylanase pH resistance based on calculated p values. The results showed that the frequency of Arg, Ser, Pro, Tyr, the count of Arg, Pro, Trp, Gly, Leu, Gln, the frequency of positively charged residues, the count of hydrophobic residues, the count of positively charged residues, non-reduced cycteins extinctoin coefficient and reduced cycteins extinctoin coefficient were the most important features contributing to the resistance of xylanases at different pH, and thirteen other attributes were considered to have a marginal contribution to this function, while the other features were revealed to be unimportant. The significance of "important" and "marginal" properties in xylanase activity in both alkaline and acidic pH has been discussed in this paper. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
Standards Barriers to Bioinformatics Research
Creators: name: Fernando, J. I. E.
Publisher: name: Monash University
Year: 2017
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: 80109 Pattern Recognition and Data Mining

description: Although new and emerging information technologies (IT) can enable the analysis of rapidly expanding bioinformatics data, no standards exists. Standards validate a technology or process against a compilation of consolidated best practice specifications. Standards development represents an effective way to retrieve textual evidence, work collaboratively, and integrate bioinformatics with global e-health initiatives. Thus, standards barriers can impede otherwise productive research efforts. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.
Analysis of Diurnal Air Temperature Trends and Pattern Similarities in Highland and Lowland Stations of Italy and UK
Creators: name: Meo, Chalachew Muluken Liyew. Rosa
name: Ferraris, Stefano
name: Di Nardo, Elvira
Publisher: name: arXiv
Year: 2024
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: In this paper, an analysis of hourly air temperatures in four groups of 32 stations of the UK highland (five stations), UK lowland (four stations), Italian highland (eleven stations), and Italian lowland (twelve stations) at various altitudes was conducted over the period from 2002 to 2021. The study aimed to examine the trends of each hour of the day in that period, over different averaging time windows (-10 day, -30 day, and -60 day). The trends were computed using the Mann-Kendall trend test and Sen's slope estimator. The similarity of trends within and across the groups of stations was assessed using the hierarchical clustering with dynamic time warping technique. An additional analysis was conducted to show the correlation of trends among the group of stations using the correlation distance matrix. Hierarchical clustering and distance correlation analysis show trend similarities and correlations, also indicating dissimilarities among different groups. Using 30 day averages, significant warming trends in specific months at the Italian stations are evident, especially in February, July, August, and December. The UK highland stations did not show statistically significant trends, but clear pattern similarities were found within the groups, especially in certain months. The ultimate goal of this paper is to provide insights into temperature dynamics and climate change characteristics on regional and diurnal scales.
Statistical analysis of drug treated cell morphologies from HCS image data
Creators: name: Ng, Alvin
name: Horodincu, Victor
name: Rajapakse, Jagath C.
name: Welsch, Roy E.
name: Matsudaira, Paul
name: Evans, James G.
Publisher: name: Monash University
Year: 2017
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: 80109 Pattern Recognition and Data Mining

description: We have developed a framework for analyzing image data from High Content Screening (HCS) experiments. The Kolomogorov-Smirnov Statistic is used to identify statistically significant image parameters for use in K-means clustering. Clusters that are underrepresented in drug-treated cell populations can be "enriched" via normalizing by the control clusters. This general methodology can be applied at different drug treatment conditions to identify "interesting" clusters. We demonstrate how the resulting clusters of morphologies aid in the understanding of the underlying biology of drug-treated cell populations PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.