cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Endogenous viral mutations, evolutionary selection, and containment policy design
Creators: name: Mellacher, Patrick
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Economics (econ.GN)
subject: FOS: Economics and business

description: How will the novel coronavirus evolve? I study a simple epidemiological model, in which mutations may change the properties of the virus and its associated disease stochastically and antigenic drifts allow new variants to partially evade immunity. I show analytically that variants with higher infectiousness, longer disease duration, and shorter latent period prove to be fitter. "Smart" containment policies targeting symptomatic individuals may redirect the evolution of the virus, as they give an edge to variants with a longer incubation period and a higher share of asymptomatic infections. Reduced mortality, on the other hand, does not per se prove to be an evolutionary advantage. I then implement this model as an agent-based simulation model in order to explore its aggregate dynamics. Monte Carlo simulations show that a) containment policy design has an impact on both speed and direction of viral evolution, b) the virus may circulate in the population indefinitely, provided that containment efforts are too relaxed and the propensity of the virus to escape immunity is high enough, and crucially c) that it may not be possible to distinguish between a slowly and a rapidly evolving virus by looking only at short-term epidemiological outcomes. Thus, what looks like a successful mitigation strategy in the short run, may prove to have devastating long-run effects. These results suggest that optimal containment policy must take the propensity of the virus to mutate and escape immunity into account, strengthening the case for genetic and antigenic surveillance even in the early stages of an epidemic.
Magnetic moments of spin--1/2 triply-heavy baryons: A study of Light-cone QCD and Quark-diquark model
Creators: name: Mutuk, Halil
name: Özdem, Ulaş
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: In this study, the magnetic moments of the spin-1/2 triply-heavy baryons have been calculated using both light-cone QCD sum rules and Quark-diquark model. Theoretical investigations on magnetic moments of the triply-heavy baryons, are crucial as their results can help us better understand their internal structure and the dynamics of the QCD as the theory of the strong interaction. We compare the results extracted for the magnetic moment with the existing theoretical predictions. It is seen that the obtained magnetic moment values are quite compatible with the results in the literature.
description: 11 pages, 3 tables
Digital Miljø Administration
Creators: Miljøstyrelsen
Publisher: name: Rigsarkivet
Year: 2024

description: DMA giver adgang til en række oplysninger om visse virksomheder og husdyrbrug: Eksempelvis hvilke miljøgodkendte aktiviteter og anlæg en given virksomhed har, hvem der er miljømyndighed for virksomheden eller husdyrbruget samt hvornår der sidst er foretaget et miljøtilsyn.
Block Alternating Bregman Majorization Minimization with Extrapolation
Creators: name: Hien, Le Thi Khanh
name: Phan, Duy Nhat
name: Gillis, Nicolas
name: Ahookhosh, Masoud
name: Patrinos, Panagiotis
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: Signal Processing (eess.SP)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In this paper, we consider a class of nonsmooth nonconvex optimization problems whose objective is the sum of a block relative smooth function and a proper and lower semicontinuous block separable function. Although the analysis of block proximal gradient (BPG) methods for the class of block $L$-smooth functions have been successfully extended to Bregman BPG methods that deal with the class of block relative smooth functions, accelerated Bregman BPG methods are scarce and challenging to design. Taking our inspiration from Nesterov-type acceleration and the majorization-minimization scheme, we propose a block alternating Bregman Majorization-Minimization framework with Extrapolation (BMME). We prove subsequential convergence of BMME to a first-order stationary point under mild assumptions, and study its global convergence under stronger conditions. We illustrate the effectiveness of BMME on the penalized orthogonal nonnegative matrix factorization problem.
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems
Creators: name: Bertram, Timo
name: Fürnkranz, Johannes
name: Müller, Martin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this paper, we study the problem of evaluating the addition of elements to a set. This problem is difficult, because it can, in the general case, not be reduced to unconditional preferences between the choices. Therefore, we model preferences based on the context of the decision. We discuss and compare two different Siamese network architectures for this task: a twin network that compares the two sets resulting after the addition, and a triplet network that models the contribution of each candidate to the existing set. We evaluate the two settings on a real-world task; learning human card preferences for deck building in the collectible card game Magic: The Gathering. We show that the triplet approach achieves a better result than the twin network and that both outperform previous results on this task.
description: arXiv admin note: substantial text overlap with arXiv:2105.11864
Sensum
Creators: Nyborg Kommune
Publisher: name: Rigsarkivet
Year: 2024

description: Systemet er oprettet som fagsystem for myndig-hedssagsbehandlingen i kommunen, på området Voksen med særlige behov. Alle borgere, der har søgt og fået afslag eller bevilget en ydelse, er registeret i systemet. Systemet er brugt som do-kumenthåndteringssystem og journalskrivning. Systemet er ligeledes anvendt til at indberette til Danmarks Statisti.
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Creators: name: Wu, Yunfan
name: Cao, Qi
name: Shen, Huawei
name: Tao, Shuchang
name: Cheng, Xueqi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Collaborative filtering is one of the most common scenarios and popular research topics in recommender systems. Among existing methods, latent factor models, i.e., learning a specific embedding for each user/item by reconstructing the observed interaction matrix, have shown excellent performances. However, such user-specific and item-specific embeddings are intrinsically transductive, making it difficult to deal with new users and new items unseen during training. Besides, the number of model parameters heavily depends on the number of all users and items, restricting its scalability to real-world applications. To solve the above challenges, in this paper, we propose a novel model-agnostic and scalable Inductive Embedding Module for collaborative filtering, namely INMO. INMO generates the inductive embeddings for users (items) by characterizing their interactions with some template items (template users), instead of employing an embedding lookup table. Under the theoretical analysis, we further propose an effective indicator for the selection of template users/items. Our proposed INMO can be attached to existing latent factor models as a pre-module, inheriting the expressiveness of backbone models, while bringing the inductive ability and reducing model parameters. We validate the generality of INMO by attaching it to both Matrix Factorization (MF) and LightGCN, which are two representative latent factor models for collaborative filtering. Extensive experiments on three public benchmarks demonstrate the effectiveness and efficiency of INMO in both transductive and inductive recommendation scenarios.
description: Accepted by SIGIR 2022
DRUG INFORMATION SERVICE GUIDE - Effect of Drug Information Service on Clinical Outcome of Patients with Type 2 Diabetes Mellitus in Padang, Indonesia
Creators: name: Lailaturrahmi, Lailaturrahmi
name: Araswati, Fuji
name: Armenia, Armenia
name: Yosmar, Rahmi
Publisher: name: Zenodo
Year: 2022
Subjects: drug information service
type 2 diabetes mellitus

description: This document describes the drug information service guide to our research that aimed to understand the effect of Drug Information Service provision on the clinical outcome of T2DM patients at Andalas Public Health Center in Padang, Indonesia.
description: This study is supported by Universitas Andalas, Indonesia, through the research grant under the Riset Dosen Pemula Scheme (based on research contract No. T/1/UN.16.17/PT.01.03/KO-RDP/2021, fiscal year of 2021).
Ekolojik Süksesyon: Bir Bilimsel Disiplin Olarak Tarihsel Gelişimi ve Ekolojik Restorasyon Çalışmalarına Yönelik Bakış Açıları
Creators: name: Tekin, Samet
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Sucession
subject: retrogression
subject: ecological restoration
subject: Habitat loss
subject: history of science

description: Ekolojik süksesyon, temel olarak bir bölgedeki bitki komünitelerinin bir süreç içerisindekideğişimini ifade eder. Bununla beraber ekolojik süksesyon süreci yalnızca bitkikomünitelerindeki değişim değil, aynı zamanda süreç boyunca değişen anakaya ve toprakyapısı, iklim, yangın ve faunadaki değişiklikler ile değerlendirilir. Bilim tarihinde uzun sürehâkim olmuş özcü düşünce, ekoloji bilimi ortaya çıkana kadar bu ekolojik süksesyonanlaşılamamıştır. Özellikle 20. yüzyılın başlarında ekolojik süksesyonun bilimsel olarakçalışmaya başlamasıyla, tahrip edilmiş doğal habitatların nasıl restore edileceğine yönelikolarak bilimsel bakış açıları dönüşüme uğramıştır. Ekolojik restorasyon çalışmaları da esasolarak doğal ikincil süksesyon sürecinin taklit edilmesiyle klimaks evresine yönelik olarakyapılması hedeflenmektedir.
description: Ecological succession refers to the process of change in plant communities within a specific area over time. However, This process extends beyond just plant communities; it also involves changes in the bedrock and soil structure, climate, fire, and fauna throughout the process. Essentialism, which dominated the history of science for a long time, prevented the understanding of ecological succession until the rise of ecology as a scientific discipline. Particularly in the early 20th century, the scientific study of ecological succession revolutionized perspectives on restoring degraded natural habitats. Ecological restoration efforts mainly aim to emulate the natural secondary succession process towards the climax stage.
The Poisson-exponential model for recurrent event data: an application to bowel motility data
Creators: name: Louzada, Francisco
name: Macera, Márcia A.C.
name: Cancho, Vicente G.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences

description: This paper presents a new parametric model for recurrent events, in which the time of each recurrence is associated to one or multiple latent causes and no information is provided about the responsible cause for the event. This model is characterized by a rate function and it is based on the Poisson-exponential distribution, namely the distribution of the maximum among a random number (truncated Poisson distributed) of exponential times. The time of each recurrence is then given by the maximum lifetime value among all latent causes. Inference is based on a maximum likelihood approach. A simulation study is performed in order to observe the frequentist properties of the estimation procedure for small and moderate sample sizes. We also investigated likelihood-based tests procedures. A real example from a gastroenterology study concerning small bowel motility during fasting state is used to illustrate the methodology. Finally, we apply the proposed model to a real data set and compare it with the classical Homogeneous Poisson model, which is a particular case.
Simple and Efficient One-Step Synthesis of a Highly Enantioselective Catalyst 3,3′-Di(pyrrolidinylmethyl)-H8BINOL
Creators: name: Gu, Shuang-Xi
name: Huang, Wen-Cai
name: Xue-Dan Wu
name: Ying, Jun
name: Pu, Lin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Molecular Biology
subject: Biochemistry

description: A concise one-step synthetic method was developed to prepare (S)-3,3′-di(pyrrolidinylmethyl)-H8BINOL via Mannich-type reaction. Under the optimal reaction conditions, the yield reached 83% (by recrystallization) and 93% (by column chromatography). This new procedure has reduced the molar ratio of pyrrolidine/paraformaldehyde/(S)-H8BINOL from 58:58:1 to 3:3:1, which simplified the previously reported two-step reaction to a one-step reaction with no need for laborious operations such as cooling and solvent degassing, and avoided discharging a large amount of dioxane-containing waste water.
Antihyperglucolipidaemic and anticarbonyl stress properties in green, yellow and red sweet bell peppers (Capsicum annuum L.)
Creators: name: Srishti Shukla
name: Dommati Anand Kumar
name: Sanga Venkata Anusha
name: Tiwari, Ashok Kumar
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 60506 Virology
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Sociology
subject: FOS: Sociology
subject: Ecology
subject: Chemistry
subject: Biotechnology
subject: Molecular Biology
subject: Cell Biology
subject: Microbiology
subject: Biochemistry

description: Effect of aqueous methanol extract of different colour sweet bell peppers (Capsicum annuum L.) on parameters of diabesity and carbonyl stress was analysed in vitro. Yellow pepper displayed significantly (p p p
On the Quantum Performance Evaluation of Two Distributed Quantum Architectures
Creators: name: Vardoyan, Gayane
name: Skrzypczyk, Matthew
name: Wehner, Stephanie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Performance (cs.PF)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Distributed quantum applications impose requirements on the quality of the quantum states that they consume. When analyzing architecture implementations of quantum hardware, characterizing this quality forms an important factor in understanding their performance. Fundamental characteristics of quantum hardware lead to inherent tradeoffs between the quality of states and traditional performance metrics such as throughput. Furthermore, any real-world implementation of quantum hardware exhibits time-dependent noise that degrades the quality of quantum states over time. Here, we study the performance of two possible architectures for interfacing a quantum processor with a quantum network. The first corresponds to the current experimental state of the art in which the same device functions both as a processor and a network device. The second corresponds to a future architecture that separates these two functions over two distinct devices. We model these architectures as Markov chains and compare their quality of executing quantum operations and producing entangled quantum states as functions of their memory lifetimes, as well as the time that it takes to perform various operations within each architecture. As an illustrative example, we apply our analysis to architectures based on Nitrogen-Vacancy centers in diamond, where we find that for present-day device parameters one architecture is more suited to computation-heavy applications, and the other for network-heavy ones. Besides the detailed study of these architectures, a novel contribution of our work are several formulas that connect an understanding of waiting time distributions to the decay of quantum quality over time for the most common noise models employed in quantum technologies. This provides a valuable new tool for performance evaluation experts, and its applications extend beyond the two architectures studied in this work.
Trafikman2
Creators: Vejdirektoratet
Publisher: name: Rigsarkivet
Year: 2024

description: Trafikcenter varetager en meget central rolle dels ved at have overblik over trafikken på statsvejene og på udvalgte kommuneveje, ved at gribe aktivt ind i trafikken, når omstændighederne tilsiger det, og ved at informere om de trafikale forhold. Denne opgave løses året rundt hele døgnet gennem overvågning af vejnettet ved hjælp af systemer, kameraer, spoler og realtidsdata. Det sker også gennem indsamling, bearbejdning og udsendelse af trafikinformation til trafikanterne og eksterne service providers. Trafikcentret indgår også i koordinering af politiets, vejmyndigheders og beredskabers indsats i tilfælde af uheld, skader på veje og udstyr eller mindre hændelser som eksempelvis tabt gods. Endelig sker styring og overvågning af Vejdirektoratets trafikledelsessystemer også fra Trafikcentret. Det primære formål med Trafikcentrets arbejde er i videst mulige omfang at skabe sikkerhed og fremkommelighed på statens veje. Trafikmedarbejdere i Trafikcentret varetager alle ovenstående opgaver via Trafikman2. Stort set al information, overvågning, dokumentation, styring og udsendelse af trafikinformation sker gennem og i dette system, der også har integrationer med en rækker andre IT-systemer.
Cyrtorizoceras Hyatt in Zittel 1900
Creators: name: Kröger, Björn
Publisher: name: Zenodo
Year: 2013
Subjects: Biodiversity
Taxonomy
Animalia
Mollusca
Cephalopoda
Oncocerida
Oncoceratidae
Cyrtorizoceras

description: Genus Cyrtorizoceras Hyatt in Zittel, 1900
Type species
Cyrtoceras minneapolis Clarke, 1897, Minneapolis, Minnesota, USA, Platteville Formation, early to mid Katian, Late Ordovician; by original designation.
Diagnosis
Compressed cyrtocones with conchs expanding constantly on anti- and prosiphuncular side; body chamber slightly contracted; aperture with deep hyponomic sinus; surface ornamented with obscure or prominent transverse costae; siphuncle close to conch margin on convex side of conch curvature, slender; siphuncular segments slightly expanded, probably empty. (Adopted from Sweet 1964a.)
Comparison
Cyrtorizoceras is similar to Richardsonoceras Foerste, 1932 in having a gradually enlarging cyrtoconic conch with a curved mature body chamber. Cyrtorizoceras differs from Richardsonoceras in having
a generally less curved conch, higher angles of expansion and a mature body chamber with a more pronounced, angular sinus on the prosiphuncular side of the mature body chamber.
Remarks
This is a species rich genus with more than 35 species described, mostly known from the Late Ordovician of North America. The genus is in need of revision, as it probably encompasses several distinct and perhaps distantly related groups of cyrtoconic oncoceratids, all possessing a simple, non gibbous body chamber.
description: Published as part of Kröger, Björn, 2013, The cephalopods of the Boda Limestone, Late Ordovician, of Dalarna, Sweden, pp. 1-110 in European Journal of Taxonomy 41 on pages 20-21, DOI: 10.5852/ejt.2013.41, http://zenodo.org/record/3814221
Statistical evaluation and modeling of cheap substrate-based cultivation medium of Chlorella vulgaris to enhance microalgae lipid as new potential feedstock for biolubricant
Creators: name: M. A. Mohammad Mirzaie
name: M. Kalbasi
name: S. M. Mousavi
name: B. Ghobadian
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: Hematology

description: Chlorella vulgaris (C. vulgaris) microalga was investigated as a new potential feedstock for the production of biodegradable lubricant. In order to enhance microalgae lipid for biolubricant production, mixotrophic growth of C. vulgaris was optimized using statistical analysis of Plackett–Burman (P-B) and response surface methodology (RSM). A cheap substrate-based medium of molasses and corn steep liquor (CSL) was used instead of expensive mineral salts to reduce the total cost of microalgae production. The effects of molasses and CSL concentration (cheap substrates) and light intensity on the growth of microalgae and their lipid content were analyzed and modeled. Designed models by RSM showed good compatibility with a 95% confidence level when compared to the cultivation system. According to the models, optimal cultivation conditions were obtained with biomass productivity of 0.123 g L−1 day−1 and lipid dry weight of 0.64 g L−1 as 35% of dry weight of C. vulgaris. The extracted microalgae lipid presented useful fatty acid for biolubricant production with viscosities of 42.00 cSt at 40°C and 8.500 cSt at 100°C, viscosity index of 185, flash point of 185°C, and pour point of −6°C. These properties showed that microalgae lipid could be used as potential feedstock for biolubricant production.
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
Creators: name: Shan, Mo
name: Feng, Qiaojun
name: Jau, You-Yi
name: Atanasov, Nikolay
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Autonomous systems need to understand the semantics and geometry of their surroundings in order to comprehend and safely execute object-level task specifications. This paper proposes an expressive yet compact model for joint object pose and shape optimization, and an associated optimization algorithm to infer an object-level map from multi-view RGB-D camera observations. The model is expressive because it captures the identities, positions, orientations, and shapes of objects in the environment. It is compact because it relies on a low-dimensional latent representation of implicit object shape, allowing onboard storage of large multi-category object maps. Different from other works that rely on a single object representation format, our approach has a bi-level object model that captures both the coarse level scale as well as the fine level shape details. Our approach is evaluated on the large-scale real-world ScanNet dataset and compared against state-of-the-art methods.
description: Accepted by ICCV 2021
Admissibility and Frame Homotopy for Quaternionic Frames
Creators: name: Needham, Tom
name: Shonkwiler, Clayton
Publisher: name: arXiv
Year: 2021
Subjects: subject: Functional Analysis (math.FA)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 42C15 (primary) 53C30, 53C40 (secondary)

description: We consider the following questions: when do there exist quaternionic frames with given frame spectrum and given frame vector norms? When such frames exist, is it always possible to interpolate between any two while fixing their spectra and norms? In other words, the first question is the admissibility question for quaternionic frames and the second is a generalization of the frame homotopy conjecture. We give complete answers to both questions. For the first question, the existence criterion is exactly the same as in the real and complex cases. For the second, the non-empty spaces of quaternionic frames with specified frame spectrum and frame vector norms are always path-connected, just as in the complex case. Our strategy for proving these results is based on interpreting equivalence classes of frames with given frame spectrum as adjoint orbits, which is an approach that is also well-suited to the study of real and complex frames.
description: 14 pages; this version streamlines the exposition and fixes some typos
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification
Creators: name: van Loon, Wouter
name: de Vos, Frank
name: Fokkema, Marjolein
name: Szabo, Botond
name: Koini, Marisa
name: Schmidt, Reinhold
name: de Rooij, Mark
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: Machine Learning (cs.LG)
subject: Applications (stat.AP)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Multi-view data refers to a setting where features are divided into feature sets, for example because they correspond to different sources. Stacked penalized logistic regression (StaPLR) is a recently introduced method that can be used for classification and automatically selecting the views that are most important for prediction. We introduce an extension of this method to a setting where the data has a hierarchical multi-view structure. We also introduce a new view importance measure for StaPLR, which allows us to compare the importance of views at any level of the hierarchy. We apply our extended StaPLR algorithm to Alzheimer's disease classification where different MRI measures have been calculated from three scan types: structural MRI, diffusion-weighted MRI, and resting-state fMRI. StaPLR can identify which scan types and which derived MRI measures are most important for classification, and it outperforms elastic net regression in classification performance.
description: 36 pages, 9 figures. Accepted manuscript
Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution
Creators: name: Afshar, Abolghasem
name: Vakili, Vahid Tabataba
name: Daei, Sajad
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This work presents a novel framework for random access in crowded scenarios of multiple-input multiple-output(MIMO) systems. A multi-antenna base station (BS) and multiple single-antenna users are considered in these systems. A huge portion of the system resources is dedicated as orthogonal pilots for accurate channel estimation which imposes a huge training overhead. This overhead can be highly mitigated by exploiting intrinsic angular domain sparsity of massive MIMO channels and the sporadic traffic of users, i.e., few number of users are active to sent or receive data in each coherence interval. In fact, the angles of arrivals (AoAs) coming from active users are continuous parameters and can take any arbitrary values. Besides, the AoAs corresponding to each active user are alongside each other forming a specific cluster. This work revolves around exploiting these features. Specifically, a blind clustering-based algorithm is proposed that not only recovers the transmitted data by users in grant free random access and primary pilots in random access blocks of coherent transmission, but also provides accurate channel estimation. Our approach is based on transforming the unknown variables into a higher dimensional space with matrix variables. An off-grid atomic norm minimization is then proposed to obtain the unknown matrix from only a few observed arrays at the BS. Then, a clustering-based approach is employed to identify which AoAs correspond to which active users. After identifying active users and their AoAs, an alternating-based approach is performed to obtain the channels and data or primary pilots of active users. Simulation results demonstrate the effectiveness of our approach in AoA detection as well as data recovery.
Den Nationale Sundhedsprofil 2021
Creators: Statens Institut for Folkesundhed
Region Hovedstaden
Region Sjælland
Region Syddanmark
Region Midtjylland
Region Nordjylland
Publisher: name: Rigsarkivet
Year: 2024

description: Den Nationale Sundhedsprofil beskriver forekomsten og fordelingen af sundhed og sygelighed i den voksne befolkning i Danmark. Beskrivelsen omfatter forekomst og fordeling af sundhed og helbredsrelateret livskvalitet, sundhedsadfærd, sygelighed, kontakt til egen læge og sociale relationer.
Formålet er at tilvejebringe datamateriale til brug for sundhedsplanlægning og til brug for analyser af regionale og kommunale forskelle. Og at beskrive udviklingen af sundhed og sygelighed i den voksne befolkning i Danmark.
A Simple and Efficient One-Step Synthesis of a Highly Enantioselective Catalyst 3,3′-Di(Pyrrolidinylmethyl)-H8BINOL
Creators: name: Gu, Shuang-Xi
name: Huang, Wen-Cai
name: Xue-Dan Wu
name: Ying, Jun
name: Pu, Lin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Molecular Biology
subject: Biochemistry

description: ABSTRACTA concise one-step synthetic method was developed to prepare 3,3′-di(pyrrolidinylmethyl)-H8BINOL via Mannich-type reaction. Under the optimal reaction conditions, the yield reached 82.7% (by recrystallization) and 93.1% (by column chromatography). This new procedure has reduced the molar ratio of pyrrolidine/paraformaldehyde/(S)-H8BINOL from 58:58:1 to 3:3:1, simplified the previous reported two-step reaction to a one-step reaction with no need of laborious operations such as cooling and solvent degassing, and avoided discharging a large amount of dioxane-containing waste water.
Out-of-plane magnetic anisotropy in bulk ilmenite $\text{CoTiO}_3$
Creators: name: Arruabarrena, M.
name: Leonardo, A.
name: Rodriguez-Vega, M.
name: Fiete, Gregory A.
name: Ayuela, A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Structural, electronic and magnetic properties of bulk ilmenite CoTiO$_3$ are analyzed in the framework of density functional theory (DFT), using the generalized gradient approximation (GGA) and Hubbard-corrected approaches. We find that the G-type antiferromagnetic (G-AFM) structure, which consists of antiferromagnetically coupled ferromagnetic $ab$ planes, is the ground-state of the system, in agreement with experiments. Furthermore, cobalt titanates present two critical temperatures related to the breaking of the inter- and intra-layer magnetic ordering. This would result in the individual planes remaining ferromagnetic even at temperatures above the Néel temperature. When spin-orbit coupling is included in our calculations, we find an out-of-plane magnetic anisotropy, which can be converted to an in-plane anisotropy with a small doping of electrons corresponding to about 2.5% Ti substitution for Co, consistent with experimental expectations. We thus present a disorder-dependent study of the magnetic anisotropy in bulk $\text{CoTiO}_3$, which will determine its magnon properties, including topological aspects.
FAST Wind Turbine simulations for mass and aerodynamic imbalance detection
Creators: name: Lecei, Ivan
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022
Subjects: subject: Wind turbine simulations
subject: DDC::500 Naturwissenschaften und Mathematik

description: The dataset was created in order to be able to train machine learning models in the domain of wind energy, especially for the use cases of predictive maintenance / condition monitoring and anomaly detection. In the wind energy domain, one usually suffers from two main problems: Firstly, the lack of sufficiently many labeled data instances, especially for rarely occurring anomalous states. Secondly, the stochastic nature of the resulting measurements, as changing and turbulent environmental conditions lead to a lot of noise in the recorded sensor signals, which in turn makes the analysis of the data very hard. To this end, a synthetic wind turbine dataset has been created, which addresses these issues. The dataset allows to obtain a more controlled view than measurements in the field would yield, since for different fixed conditions of the wind turbine, simulations have been carried out for a various number of environmental conditions. The goal is to be able to learn data representations for different states of the wind turbine from the simulated data, which would not be possible on real measurements. Moreover, as the simulations can be carried out with a very high number of different sensor outputs, the dataset offers a possibility to uncover relations between different measurements / components of the wind turbine, which are not known yet. The dataset consists strictly of highdimensional time series as output of certain setups of a 5MW wind turbine. They represent various measurements of important characteristics, such as acceleration or bending moments, on the blades, the nacelle, or different parts of the wind turbine. The dataset is created to resemble different locations and degrees of mass imbalance on one of the three wind turbine blades.
Statistical evaluation and modeling of cheap substrate-based cultivation medium of Chlorella vulgaris to enhance microalgae lipid as new potential feedstock for biolubricant
Creators: name: M. A. Mohammad Mirzaie
name: M. Kalbasi
name: S. M. Mousavi
name: B. Ghobadian
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: Hematology

description: Chlorella vulgaris (C. vulgaris) microalga was investigated as a new potential feedstock for the production of biodegradable lubricant. In order to enhance microalgae lipid for biolubricant production, mixotrophic growth of C. vulgaris was optimized using statistical analysis of Plackett–Burman (P-B) and response surface methodology (RSM). A cheap substrate-based medium of molasses and corn steep liquor (CSL) was used instead of expensive mineral salts to reduce the total cost of microalgae production. The effects of molasses and CSL concentration (cheap substrates) and light intensity on the growth of microalgae and their lipid content were analyzed and modeled. Designed models by RSM showed good compatibility with a 95% confidence level when compared to the cultivation system. According to the models, optimal cultivation conditions were obtained with biomass productivity of 0.123 g L−1 day−1 and lipid dry weight of 0.64 g L−1 as 35% of dry weight of C. vulgaris. The extracted microalgae lipid presented useful fatty acid for biolubricant production with viscosities of 42.00 cSt at 40°C and 8.500 cSt at 100°C, viscosity index of 185, flash point of 185°C, and pour point of −6°C. These properties showed that microalgae lipid could be used as potential feedstock for biolubricant production.
Undersøgelse af chikane, trusler om vold og fysisk vold rettet mod undervisningspersonale i udvalgte folkeskoler
Creators: Det Nationale Forskningscenter for Arbejdsmiljø
Birgit Aust
Publisher: name: Rigsarkivet
Year: 2024

description: Styrelsen for Undervisning og Kvalitet i Undervisningsministeriet (UVM) har ønsket at gennemføre en undersøgelse med afsæt i, at flere lærere i grundskolen rapporterer om vold og trusler fra elever. Afrapporteringen af vold og trusler er gennemført i regi af det Nationale Forskningscenter for Arbejdsmiljøs løbende overvågning af arbejdsmiljøet blandt de erhvervsaktive i Danmark. Forekomsten af vold og trusler i arbejdsmiljøet betragtes som en af de negative faktorer, der er af stor betydning for medarbejdernes trivsel og helbred.
Formålet var, at undersøgelsen ved hjælp af dels allerede indhentede data dels nye data - kvantitative såvel som kvalitative, skal tegne et billede af omfang, forekomst og karakteristika af episoder med vold og trusler fra elever rettet mod undervisningspersonalet. Derudover var formålet at belyse mulige forklaringer på udviklingen, samt undersøge hvordan vold og trusler forebygges på skolerne i dag. Undersøgelsen blev gennemført i perioden oktober 2017 – februar 2018, da der var et behov for hurtigt at skaffe viden, der kan understøtte udarbejdelsen af værktøjer og en efterfølgende dialog omkring udfordringen med en stigende grad af vold og trusler i grundskolen. Behovet for at gennemføre analysen på ganske kort tid har betydet, at det er valgt at foretage nogle afgrænsninger i omfanget af undersøgelsesgruppen og i udfoldningen af analysens resultater.
Analysen har taget sit udgangspunkt i følgende tre overordnede temaer: Forekomst af chikane, trusler og vold fra eleverne mod underviserne samt undervisningspersonalets oplevelse af dette fænomen Forekomst af chikane, trusler og vold i særlige grupper og i særlige situationer Indsatser på skolerne til forebyggelse og håndtering af chikane, trusler og vold Til gennemførsel af den kvantitative og kvalitative undersøgelse blev der udviklet henholdsvis: 1. et spørgeskema og 2. tre interviewguides.
Studying the squeezing effect and phase space distribution of single-photon-added coherent state using postselected von Neumann measurement
Creators: name: Xu, Wen Jun
name: Yusufu, Taximaiti
name: Turek, Yusuf
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper, ordinary and amplitude-squared squeezing as well as Wigner functions of single-photon-added coherent state after postselected von Neumann measurements are investigated. The analytical results show that the von Neumann type measurement which is characterized by post-selection and weak value can significantly change the squeezing feature of single-photon-added coherent state. It is also found that the postselected measurement can increase the nonclassicality of the original state in strong measurement regimes. It is anticipated that this work could may provide an alternate and effective methods to solve state optimization problems based on the postselected von Neumann measurement technique.
description: 10 pages, 14 figures
Distribution of brown trout (Salmo trutta Linnaeus, 1758) (Teleostei: Salmonidae) in its southwesternmost European limit: possible causes
Creators: name: J. E. Larios-López
name: J. M. Tierno De Figueroa
name: C. Alonso-González
name: B. Nebot Sanz
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences

description: Andalusian brown trout populations represent the southwestern limit of this species in Europe, show a high genetic diversity, are subjected to extreme habitat conditions and environmental alterations, and are very sensitive to extinction. However, there is a lack of scientific studies on them. A necessary first step to preserve them is to describe their spatial distribution. We detected the species in eastern Andalusia along almost 710 km of rivers, finding 38 populations inhabiting streams and reservoirs in the upper reaches of three basins (Guadalquivir, Segura and South) in an altitude range between 200 and 2200 m above sea level. Populations are constrained by natural causes in their upper limits, and by anthropogenic causes in their lower limits (mainly related to water management). Currently, the populations are very isolated in protected areas (62% of their distribution) or downstream of those areas (32%), and a range displacement towards higher altitudes compared with their distribution in the nineteenth century is observed.
Study of the electronic properties of topological kagome metals YV$_6$Sn$_6$ and GdV$_6$Sn$_6$
Creators: name: Pokharel, Ganesh
name: Teicher, Samuel M. L.
name: Ortiz, Brenden R.
name: Sarte, Paul M.
name: Wu, Guang
name: Peng, Shuting
name: He, Junfeng
name: Seshadri, Ram
name: Wilson, Stephen D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The synthesis and characterization of vanadium-based kagome metals YV$_6$Sn$_6$ and GdV$_6$Sn$_6$ are presented. X-ray diffraction, magnetization, magnetotransport, and heat capacity measurements reveal an ideal kagome network of V-ions coordinated by Sn and separated by triangular lattice planes of rare-earth ions. The onset of low-temperature, likely noncollinear, magnetic order of Gd spins is detected in GdV$_6$Sn$_6$, while V-ions in both compounds remain nonmagnetic. Density functional theory calculations are presented modeling the band structures of both compounds, which can be classified as $\mathbb{Z}_2$ topological metals in the paramagnetic state. Both compounds exhibit high mobility, multiband transport and present an interesting platform for controlling the interplay between magnetic order associated with the $R$-site sublattice and nontrivial band topology associated with the V-based kagome network. Our results invite future exploration of other $R$V$_6$Sn$_6$ ($R$=rare earth) variants where this interplay can be tuned via $R$-site substitution.
description: 11 pages, 10 figures
Statistical Evaluation and Modeling of Cheap Substrate-Based Cultivation Medium of Chlorella vulgaris to Enhance Microalgae Lipid as New Potential Feedstock for Biolubricant
Creators: name: M. A. Mohammad Mirzaie
name: M. Kalbasi
name: S. M. Mousavi
name: B. Ghobadian
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Hematology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Chemistry
subject: Biotechnology
subject: Biochemistry

description: Chlorella vulgaris(C. vulgaris) microalgae was investigated as a new potential feedstock for the production of biodegradable lubricant. In order to enhance microalgae lipid for biolubricant production, mixotrophic growth of C. vulgaris was optimized using statistical analysis of Plackett-Burman (P-B) and response surface methodology (RSM). Cheap substrate-based medium of molasses and corn steep liquor (CSL) was used instead of expensive mineral salts to reduce the total cost of microalgae production. The effects of molasses and CSL concentration (cheap substrates) and light intensity on the growth of microalgae and their lipid content were analyzed and modeled. Designed models by RSM showed to have good compatibility with a 95% confidence level when compared to the cultivation system. According to the models, optimal cultivation conditions were obtained with biomass productivity of 0.123 g.L−1.day−1 and lipid dry weight of 0.64 g.L−1 as 35% of dry weight of C. vulgaris. The extracted microalgae lipid presented useful fatty acid for biolubricant production with viscosities of 42.00 cSt at 40 °C and 8.500 cSt at 100 °C, viscosity index of 185, flash point of 185 °C and pour point of -6 °C. These properties showed that microalgae lipid could be used as potential feedstock for biolubricant production.
Scarcity Strategies for Product Launch - Influencing Observational Learning
Creators: Københavns Universitet, Det Samfundsvidenskabelige Fakultet
Nicholas Edward Vikander
Publisher: name: Rigsarkivet
Year: 2024

description: En vigtig komponent i et velfungerende marked er at udbud generelt skal være lig efterspørgsel. Helt præcist skal forbrugere der vil købe et nyt produkt ikke forhindres i at gøre dette på grund af varemangel. På trods af dette forekommer varemangel ofte i forbindelse med ny-lancerede produkter, hvor efterspørgsel overstiger udbud. Resultatet er at nogle forbrugere, der gerne vil købe produktet ikke er i stand til at gøre det, fordi produktet ikke er tilgængeligt. Hvorfor forekommer sådanne varemangler? Hvorfor producerer firmaerne ikke flere produkter for at forhindre varemangel, samt øge salg og profit? Dette projekt søger at give et svar på disse spørgsmål ved at udforske om firmaer nogle gange foretrækker at skabe varemangel. Ideen er at varemangel kan påvirke forbrugernes forventning til produktets popularitet, hvilket kan have indflydelse på om de tror at produktet er af høj eller lav kvalitet. Helt specifikt udvikler vi en ny teori om hvordan varemangel kan have indflydelse på forbrugernes forventninger og tester vi denne teori i laboratorie eksperimenter. Vi fokuserer på hvorvidt effekten af varemangel på firmaets profit afhænger af, hvilken information de har til rådighed.
HOSPITAL ANXIETY AND DEPRESSION OF PATIENTS WITH HEART FAILURE IN SOUTH PUNJAB PAKISTAN: A SECTIONAL SURVEY STUDY
Creators: name: Abdul Sattar Ghaffari, Ruqia Safdar Bajwa
Publisher: name: TuEngr.com
Year: 2020
Subjects: Heart failure patients
Hospitalized Patients
Borderline of anxiety and depression
Hospital Anxiety and Depression Scale (HADS)
Heart failure (HF)

description: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11, 6, 11A06C: 1-10
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Creators: name: Tanabe, Ryoji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Feature-based algorithm selection aims to automatically find the best one from a portfolio of optimization algorithms on an unseen problem based on its landscape features. Feature-based algorithm selection has recently received attention in the research field of black-box numerical optimization. However, there is still room for analysis of algorithm selection for black-box optimization. Most previous studies have focused only on whether an algorithm selection system can outperform the single-best solver in a portfolio. In addition, a benchmarking methodology for algorithm selection systems has not been well investigated in the literature. In this context, this paper analyzes algorithm selection systems on the 24 noiseless black-box optimization benchmarking functions. First, we demonstrate that the first successful performance measure is more reliable than the expected runtime measure for benchmarking algorithm selection systems. Then, we examine the influence of randomness on the performance of algorithm selection systems. We also show that the performance of algorithm selection systems can be significantly improved by using sequential least squares programming as a pre-solver. We point out that the difficulty of outperforming the single-best solver depends on algorithm portfolios, cross-validation methods, and dimensions. Finally, we demonstrate that the effectiveness of algorithm portfolios depends on various factors. These findings provide fundamental insights for algorithm selection for black-box optimization.
description: This is an accepted version of a paper published in the IEEE Transactions on Evolutionary Computation (Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software)
ROLES OF PHYSICAL ENVIRONMENT IN CHARACTERIZING THE IDENTITY OF MALAY ROYAL TOWN IN ALOR SETAR, KEDAH
Creators: name: Sharyzee Mohmad Shukri, Mohammad Hussaini Wahab
Publisher: name: TuEngr.com
Year: 2020
Subjects: Architectural identity
Malaysia town evolution
Urban form and setting
Cultural significance
Physical environment (PE)
Architectural physical characters.

description: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11, 6, 11A06D: 1-14