cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Moderate varus/valgus malalignment after total knee arthroplasty has little effect on knee function or muscle strength
Creators: name: Stucinskas, Justinas
name: Robertsson, Otto
name: Sirka, Aurimas
name: Lebedev, Aleksej
name: Wingstrand, Hans
name: Sarunas Tarasevicius
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Physiology
subject: Medicine

description: Background and purpose — Postoperative muscle strength and component alignment are important factors affecting functional results after total knee arthroplasty (TKA). We are not aware of any studies that have investigated the relationship between them. We therefore investigated whether coronal malalignment of the mechanical axis and/or of individual implant components would affect knee muscle strength and function 1 year after TKA surgery.Patients and methods — We included 120 consecutive osteoarthritis (OA) patients admitted for TKA. Preoperative active range of motion (ROM) of the knee, patient age, sex, and BMI were recorded and the Knee Society score (KSS) and knee joint extensor/flexor muscle strength were assessed. At 1-year follow-up, the mechanical and coronal component alignment was measured from a postoperative long standing radiograph, and ROM, KSS, and muscle strength measurements were taken in 91 patients. Functional outcome and muscle strength measurements were compared between normally aligned and malaligned TKA groups.Results — 29 of 91 TKAs were malaligned, i.e. they deviated more than 3° from the neutral mechanical axis. 18 femoral components and 15 tibial components were malaligned. Before surgery, the malaligned and normally aligned groups were similar regarding sex distribution, BMI, ROM, KSS, and muscle strength. At the 1-year follow-up, the differences between the groups regarding knee joint function and muscle strength were small, not statistically significant, and barely clinically relevant.Interpretation — Moderate varus/valgus malalignment of the mechanical axis or of individual components has no relevant clinical effect on function or muscle strength 1 year after TKA surgery.
Open reduction and internal fixation aided by intraoperative 3-dimensional imaging improved the articular reduction in 72 displaced acetabular fractures
Creators: name: Eckardt, Henrik
name: Lind, Dennis
name: Toendevold, Erik
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Physiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Medicine
subject: Engineering
subject: Biophysics

description: Background and purpose — During acetabular fracture surgery, the acetabular roof is difficult to visualize with 2-dimensional fluoroscopic views. We assessed whether intraoperative 3-dimensional (3D) imaging can aid the surgeon to achieve better articular reduction and improve implant fixation.Patients and methods — We operated on 72 acetabular fractures using intraoperative 3D imaging and compared the operative results, duration of surgery, and complications with those for 42 consecutive acetabular fracture operations conducted using conventional fluoroscopic imaging. Postoperative reduction was evaluated on reconstructed coronal and sagittal images of the acetabulum.Results — The fracture severity and patient characteristics were similar in the 2 groups. In the 3D group, 46 of 72 patients (0.6) had a perfect result after open reduction and internal fixation, and in the control group, 17 of 42 (0.4) had a perfect result. The mean difference in postoperative articular incongruity was 0.5 mm (95% CI: 0.4–0.7). In 29 of 72 operations, the intraoperative 3D scans led to intraoperative correction of the reduction and an improved result. The duration of surgery and infection rate were similar in the 2 groups.Interpretation — Intraoperative 3D imaging, which is not time-consuming, allowed the surgeon to correct malreductions and screw placement in 29 of 72 operations, leading to better articular reduction and more precise screw placement than in operations where conventional fluoroscopic imaging was used to control the reduction.
Finite Size Effects in Addition and Chipping Processes
Creators: name: Dyachenko, Roman R.
name: Matveev, Sergey A.
name: Krapivsky, P. L.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Numerical Analysis (math.NA)
subject: Classical Analysis and ODEs (math.CA)
subject: Statistics Theory (math.ST)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: I.6.1; G.1.7; G.1.1
subject: 82M31, 65L07, 65L99, 60G99

description: We investigate analytically and numerically a system of clusters evolving via collisions with clusters of minimal mass (monomers). Each collision either leads to the addition of the monomer to the cluster or the chipping of a monomer from the cluster, and emerging behaviors depend on which of the two processes is more probable. If addition prevails, monomers disappear in a time that scales as $\ln N$ with the total mass $N\gg 1$, and the system reaches a jammed state. When chipping prevails, the system remains in a quasi-stationary state for a time that scales exponentially with $N$, but eventually, a giant fluctuation leads to the disappearance of monomers. In the marginal case, monomers disappear in a time that scales linearly with $N$, and the final supercluster state is a peculiar jammed state, viz., it is not extensive.
description: 18 pages, 8 figures, 45 references
Synthesis, characterization, and antitumor properties of ruthenium(II) anthraquinone complexes
Creators: name: Wang, Jin-Quan
name: Zi-Zhuo Zhao
name: Hua-Ben Bo
name: Qi-Zhu Chen
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Three new Ru(II) complexes, [Ru(dmb)2(ipad)](ClO4)2 (dmb = 4,4′-dimethyl-2,2′-bipyridine, ipad = 2-(anthracene-9,10-dione-2-yl) imidazo[4,5-f][1,10]phenanthroline, 1), [Ru(dmp)2(ipad)](ClO4)2 (dmp = 2,9-dimethyl-1,10-phenanthroline, 2), and [Ru(dip)2(ipad)](ClO4)2 (dip = 4,7-diphenyl-1,10-phenanthroline, 3), have been synthesized and characterized. The three Ru(II) complexes intercalate with the base pairs of DNA. The in vitro antiproliferative activities and apoptosis-inducing characteristics of these complexes were investigated. The complexes exhibited cytotoxicity against various human cancer cell lines. BEL-7402 cells displayed the highest sensitivity to 1, accounted for by the greatest cellular uptake. Complex 1 was shown to accumulate preferentially in the nuclei of BEL-7402 cells and cause DNA damage and induce apoptosis, which involved cell cycle arrest and reactive oxygen species generation.
On the use of associative memory in Hopfield networks designed to solve propositional satisfiability problems
Creators: name: Weber, Natalya
name: Koch, Werner
name: Erdem, Ozan
name: Froese, Tom
Publisher: name: arXiv
Year: 2023
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Artificial Intelligence (cs.AI)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Hopfield networks are an attractive choice for solving many types of computational problems because they provide a biologically plausible mechanism. The Self-Optimization (SO) model adds to the Hopfield network by using a biologically founded Hebbian learning rule, in combination with repeated network resets to arbitrary initial states, for optimizing its own behavior towards some desirable goal state encoded in the network. In order to better understand that process, we demonstrate first that the SO model can solve concrete combinatorial problems in SAT form, using two examples of the Liars problem and the map coloring problem. In addition, we show how under some conditions critical information might get lost forever with the learned network producing seemingly optimal solutions that are in fact inappropriate for the problem it was tasked to solve. What appears to be an undesirable side-effect of the SO model, can provide insight into its process for solving intractable problems.
description: 7 pages, 4 figures
Intermediate Charge-Breaking Phases and Symmetry Non-Restoration in the 2-Higgs-Doublet Model
Creators: name: Aoki, Mayumi
name: Biermann, Lisa
name: Borschensky, Christoph
name: Ivanov, Igor P.
name: Mühlleitner, Margarete
name: Shibuya, Hiroto
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The Higgs potentials of extended Higgs sectors exhibit a complex and interesting vacuum structure. When travelling back in time, i.e. going to higher temperatures, the structure may change and exhibit interesting phase patterns and sequences of phases related to the respective minima of the potential. The investigation of the vacuum structure can give us indirect insights in beyond-Standard-Model physics and the evolution of the Universe. In this paper, we investigate the possibility of an intermediate charge-breaking (CB) phase in the 2-Higgs-Doublet Model (2HDM) type I. The existence has been reported previously by using a simple potential setup. We here confirm that the intermediate CB phase can still exist when using the one-loop corrected effective potential including thermal masses. We discuss its features and the relation with SU(2) symmetry (non-)restoration as well as its consistency with the current experimental data. Lastly, we show for some selected benchmark points the rich and interesting phase patterns and sequences that the 2HDM can undergo during its evolution from the early Universe to today's electroweak vacuum.
description: 39 pages, 7 figures, 3 tables; references added, improved presentation of results, added appendix B; matches version published in JHEP
Synthesis, characterization, and antitumor properties of ruthenium(II) anthraquinone complexes
Creators: name: Wang, Jin-Quan
name: Zi-Zhuo Zhao
name: Hua-Ben Bo
name: Qi-Zhu Chen
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Three new Ru(II) complexes, [Ru(dmb)2(ipad)](ClO4)2 (dmb = 4,4′-dimethyl-2,2′-bipyridine, ipad = 2-(anthracene-9,10-dione-2-yl) imidazo[4,5-f][1,10]phenanthroline, 1), [Ru(dmp)2(ipad)](ClO4)2 (dmp = 2,9-dimethyl-1,10-phenanthroline, 2), and [Ru(dip)2(ipad)](ClO4)2 (dip = 4,7-diphenyl-1,10-phenanthroline, 3), have been synthesized and characterized. The three Ru(II) complexes intercalate with the base pairs of DNA. The in vitro antiproliferative activities and apoptosis-inducing characteristics of these complexes were investigated. The complexes exhibited cytotoxicity against various human cancer cell lines. BEL-7402 cells displayed the highest sensitivity to 1, accounted for by the greatest cellular uptake. Complex 1 was shown to accumulate preferentially in the nuclei of BEL-7402 cells and cause DNA damage and induce apoptosis, which involved cell cycle arrest and reactive oxygen species generation.
Large Language Models to Identify Social Determinants of Health in Electronic Health Records
Creators: name: Guevara, Marco
name: Chen, Shan
name: Thomas, Spencer
name: Chaunzwa, Tafadzwa L.
name: Franco, Idalid
name: Kann, Benjamin
name: Moningi, Shalini
name: Qian, Jack
name: Goldstein, Madeleine
name: Harper, Susan
name: Aerts, Hugo JWL
name: Savova, Guergana K.
name: Mak, Raymond H.
name: Bitterman, Danielle S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language models to extract SDoH from free text in EHRs, where they are most commonly documented, and explored the role of synthetic clinical text for improving the extraction of these scarcely documented, yet extremely valuable, clinical data. 800 patient notes were annotated for SDoH categories, and several transformer-based models were evaluated. The study also experimented with synthetic data generation and assessed for algorithmic bias. Our best-performing models were fine-tuned Flan-T5 XL (macro-F1 0.71) for any SDoH, and Flan-T5 XXL (macro-F1 0.70). The benefit of augmenting fine-tuning with synthetic data varied across model architecture and size, with smaller Flan-T5 models (base and large) showing the greatest improvements in performance (delta F1 +0.12 to +0.23). Model performance was similar on the in-hospital system dataset but worse on the MIMIC-III dataset. Our best-performing fine-tuned models outperformed zero- and few-shot performance of ChatGPT-family models for both tasks. These fine-tuned models were less likely than ChatGPT to change their prediction when race/ethnicity and gender descriptors were added to the text, suggesting less algorithmic bias (p<0.05). At the patient-level, our models identified 93.8% of patients with adverse SDoH, while ICD-10 codes captured 2.0%. Our method can effectively extracted SDoH information from clinic notes, performing better compare to GPT zero- and few-shot settings. These models could enhance real-world evidence on SDoH and aid in identifying patients needing social support.
description: Peer-reviewed version published at NPJ Digital Medicine: https://www.nature.com/articles/s41746-023-00970-0
Taking Aim at Moving Targests in Computational Cell MIgration
Creators: name: Masuzzo, Paola
Publisher: name: figshare
Year: 2015
Subjects: subject: Computational Biology
subject: 60102 Bioinformatics
subject: FOS: Computer and information sciences
subject: Cell Biology

description: A review on computational methods and tools for the analysis of cell migration experiments.
Exploring the Optimal Cycle for Quantum Heat Engine using Reinforcement Learning
Creators: name: Deng, Gao-xiang
name: Ai, Haoqiang
name: Wang, Bingcheng
name: Shao, Wei
name: Liu, Yu
name: Cui, Zheng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum thermodynamic relationships in emerging nanodevices are significant but often complex to deal with. The application of machine learning in quantum thermodynamics has provided a new perspective. This study employs reinforcement learning to output the optimal cycle of quantum heat engine. Specifically, the soft actor-critic algorithm is adopted to optimize the cycle of three-level coherent quantum heat engine with the aim of maximal average power. The results show that the optimal average output power of the coherent three-level heat engine is 1.28 times greater than the original cycle (steady limit). Meanwhile, the efficiency of the optimal cycle is greater than the Curzon-Ahlborn efficiency as well as reporting by other researchers. Notably, this optimal cycle can be fitted as an Otto-like cycle by applying the Boltzmann function during the compression and expansion processes, which illustrates the effectiveness of the method.
Bound circumplanetary orbits under the influence of radiation pressure: Application to dust in directly imaged exoplanet systems
Creators: name: Hansen, Brad M. S.
name: Hayakawa, Kevin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We examine the population of simply periodic orbits in the Hill problem with radiation pressure included, in order to understand the distribution of gravitationally bound dust in orbit around a planet. We study a wide range of radiation pressure strengths, which requires the inclusion of additional terms beyond those discussed in previous analyses of this problem. In particular, our solutions reveal two distinct populations of stable wide, retrograde, orbits, as opposed to the single family that exists in the purely gravitational problem.
 We use the result of these calculations to study the observational shape of dust populations bound to extrasolar planets, that might be observable in scattered or reradiated light. In particular, we find that such dusty clouds should be elongated along the star--planet axis, and that the elongation of the bound population increases with $β$, a measure of the strength of the radiation pressure.
 As an application of this model, we consider the properties of the Fomalhaut system. The unusual orbital properties of the object Fomalhaut~b can be explained if the observed light was scattered by dust that was released from an object in a quasi-satellite orbit about a planet located in, or near, the observed debris ring. Within the context of the model of Hayakawa \& Hansen (2023), we find that the dust cloud around such a planet is still approximately an order of magnitude fainter than the limits set by current JWST data.
description: 21 pages, 22 figures
Physicians’ attitudes toward home healthcare services in Turkey: A qualitative study
Creators: name: Aksoy, Hilal
name: Kahveci, Rabia
name: Pınar Döner
name: İhsan Aksoy
name: Ayhan, Duygu
name: E. Meltem Koç
name: İrfan Şencan
name: İsmail Kasım
name: Özkara, Adem
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Ecology
subject: FOS: Biological sciences

description: ABSTRACTBackground: Because of the growth of the older population and the prevalence of chronic diseases, home care services (HCS) have become an important aspect of healthcare worldwide. However, various difficulties and deficiencies are present in the provision of these recently implemented services in Turkey. Modifications to home healthcare services are in progress.Objective: Physicians have an active role in home healthcare services. The present study was performed to examine physicians’ attitudes toward this service in detail.Methods: Twenty-six physicians who provide home healthcare services in the city of Ankara were included in the study. We conducted in-depth, semi-structured, face-to-face interviews. The interviews were audio-recorded, transcribed, and qualitatively analysed.Results: Most physicians thought that home care could be provided to patients who are bedridden, are very old, have a chronic disease, have problems leaving the house, or do not have family support. They also expressed displeasure about the abuse of services and discordance of organization between hospitals and primary care centres. They noted that real circumstances in practice were not compatible with regulations and that cooperation and coordination between departments are necessary and important.Conclusion: The current study underlines physicians’ interest in and support of the home care system, which has various drawbacks and limitations. Legislation needs to be further changed to improve the quality of service and eliminate deficiencies in home healthcare.
Revealing process and material parameter effects on densification via phase-field studies
Creators: name: Seiz, Marco
name: Hierl, Henrik
name: Nestler, Britta
name: Rheinheimer, Wolfgang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Sintering is an important processing step in both ceramics and metals processing. The microstructure resulting from this process determines many materials properties of interest. Hence the accurate prediction of the microstructure, depending on processing and materials parameters, is of great importance. The phase-field method offers a way of predicting this microstructural evolution on a mesoscopic scale. The present paper employs this method to investigate concurrent densification and grain growth and the influence of stress on densification. Furthermore, the method is applied to simulate the entire freeze-casting process chain for the first time ever by simulating the freezing and sintering processes separately and passing the frozen microstructure to the present sintering model.
description: 27 pages, 11 figures; updated with reviewer comments. Supplementary material is available at https://doi.org/10.5281/zenodo.8263532
The 21-cm bispectrum from neutral hydrogen islands at z < 6
Creators: name: Raste, Janakee
name: Kulkarni, Girish
name: Watkinson, Catherine A.
name: Keating, Laura C.
name: Haehnelt, Martin G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Spatial variations in the Lyman-$α$ forest opacity at $z<6$ seem to require a late end to cosmic reionization. In this picture, the universe contains neutral hydrogen 'islands' of up to 100 cMpc$/h$ in extent down to redshifts as low as $z\sim 5.3$. This delayed end to reionization also seems to be corroborated by various other observables. An implication of this scenario is that the power spectrum of the cosmological 21-cm signal at $z<6$ is enhanced relative to conventional reionization models by orders of magnitude. However, these neutral hydrogen islands are also predicted to be at the locations of the deepest voids in the cosmological large-scale structure. As a result, the distribution of the 21-cm signal from them is highly non-Gaussian. We derive the 21-cm bispectrum signal from these regions using high-dynamic-range radiative transfer simulations of reionization. We find that relative to conventional models in which reionization is complete at $z>6$, our model has a significantly larger value of the 21-cm bispectrum. The neutral islands also imprint a feature in the isosceles bispectrum at a characteristic scale of $\sim 1$ cMpc$^{-1}$. We also study the 21-cm bispectrum for general triangle configuration by defining a triangle index. It should be possible to detect the 21-cm bispectrum signal at $ν\gtrsim 200$ MHz using SKA1-LOW for 1080 hours of observation, assuming optimistic foreground removal.
description: 12 pages, 12 figures
Additional file 1 of Healthcare team resilience during COVID-19: a qualitative study
Creators: name: Ambrose, John W.
name: Catchpole, Ken
name: Evans, Heather L.
name: Nemeth, Lynne S.
name: Layne, Diana M.
name: Nichols, Michelle
Publisher: name: figshare
Year: 2024
Subjects: Space Science
Medicine
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary Material 1
Traversable wormholes in $f(R)$ gravity sourced by a cloud of strings
Creators: name: Goswami, Parangam
name: Baruah, Anshuman
name: Deshamukhya, Atri
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Wormhole solutions in General Relativity (GR) require \textit{exotic} matter sources that violate the null energy condition (NEC), and it is well known that higher-order modifications of GR and some alternative matter sources can support wormholes. In this study, we explore the possibility of formulating traversable wormholes in $f(R)$ modified gravity, which is perhaps the most widely discussed modification of GR, with two approaches. First, to investigate the effects of geometrical constraints on the global characteristics, we gauge the $rr$-component of the metric tensor, and employ Padè approximation to check whether a well-constrained \textit{shape function} can be formulated in this manner. We then derive the field equations with a background of string cloud, and numerically analyse the energy conditions, stability, and amount of exotic matter in this space-time. Next, as an alternative source in a simple $f(R)$ gravity model, we use the background cloud of strings to estimate the wormhole shape function, and analyse the relevant properties of the space-time. These results are then compared with those of wormholes threaded by normal matter in the simple $f(R)$ gravity model considered. The results demonstrate that wormholes with NEC violations are feasible; however, the wormhole space-times in the simple $f(R)$ gravity model are unstable.
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
Creators: name: Koursioumpas, Nikolaos
name: Magoula, Lina
name: Petropouleas, Nikolaos
name: Thanopoulos, Alexandros-Ioannis
name: Panagea, Theodora
name: Alonistioti, Nancy
name: Gutierrez-Estevez, M. A.
name: Khalili, Ramin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Progressing towards a new era of Artificial Intelligence (AI) - enabled wireless networks, concerns regarding the environmental impact of AI have been raised both in industry and academia. Federated Learning (FL) has emerged as a key privacy preserving decentralized AI technique. Despite efforts currently being made in FL, its environmental impact is still an open problem. Targeting the minimization of the overall energy consumption of an FL process, we propose the orchestration of computational and communication resources of the involved devices to minimize the total energy required, while guaranteeing a certain performance of the model. To this end, we propose a Soft Actor Critic Deep Reinforcement Learning (DRL) solution, where a penalty function is introduced during training, penalizing the strategies that violate the constraints of the environment, and contributing towards a safe RL process. A device level synchronization method, along with a computationally cost effective FL environment are proposed, with the goal of further reducing the energy consumption and communication overhead. Evaluation results show the effectiveness and robustness of the proposed scheme compared to four state-of-the-art baseline solutions on different network environments and FL architectures, achieving a decrease of up to 94% in the total energy consumption.
description: 12 Pages Double Column, 6 Figures, Accepted for publication in the IEEE Transactions on Green Communications and Networking (TGCN). arXiv admin note: text overlap with arXiv:2306.14237
Development and validation of the short version of the diabetes obstacles questionnaire (DOQ-30) in six European countries
Creators: name: Pilv, Liina
name: Vermeire, Etienne
name: Rätsep, Anneli
name: Moreau, Alain
name: Nikolić, Dragica
name: Davorina Petek
name: Yaman, Hakan
name: Oona, Marje
name: Kalda, Ruth
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Background: Patients with type 2 diabetes reveal different obstacles in living with the disease. The EGPRN initiated a qualitative research EUROBSTACLE to create a broadly conceptualized diabetes-related quality of life (DR-QoL) instrument. It led to the development of the diabetes obstacle questionnaire (DOQ), a five-point Likert-scaled measure, consisting of 78 items in eight scales. Objectives: To develop and validate a short, easy-to-use version of the DOQ. Methods: A cross-sectional study with the DOQ was carried out. Participants answered the DOQ and GPs added some clinical data from their medical records. Data of 853 patients from Belgium, France, Estonia, Serbia, Slovenia, and Turkey were included in the analysis. The selection of items for the short version of the DOQ was achieved with exploratory factor analysis (EFA). Construct validity was proved with EFA and Pearson correlations between the DOQ and the new DOQ-30. Internal reliability was established with Cronbach’s alpha. Results: DOQ-30 resulted in 30 items in nine subscales. It explained 49.8% of items’ variance. It shows a considerable good internal reliability and construct validity. Conclusion: The DOQ-30 is a five-point Likert-scaled broadly conceptualized measure of DR-QoL. It addresses a variety of obstacles, such as social, psychological, cognitive and behavioural. The DOQ-30 is ready for implementation in general practice and research in Europe as a valuable instrument to assess DR-QoL.
Unstable Cores are the source of instability in chemical reaction networks
Creators: name: Vassena, Nicola
name: Stadler, Peter F.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Molecular Networks (q-bio.MN)
subject: Dynamical Systems (math.DS)
subject: FOS: Biological sciences
subject: FOS: Mathematics
subject: 05C92, 37N25, 92C40, 92C42, 92E10

description: In biochemical networks, complex dynamical features such as superlinear growth and oscillations are classically considered a consequence of autocatalysis. For the large class of parameter-rich kinetic models, which includes Generalized Mass Action kinetics and Michaelis-Menten kinetics, we show that certain submatrices of the stoichiometric matrix, so-called unstable cores, are sufficient for a reaction network to admit instability and potentially give rise to such complex dynamical behavior. The determinant of the submatrix distinguishes unstable-positive feedbacks, with a single real-positive eigenvalue, and unstable-negative feedbacks without real-positive eigenvalues. Autocatalytic cores turn out to be exactly the unstable-positive feedbacks that are Metzler matrices. Thus there are sources of dynamical instability in chemical networks that are unrelated to autocatalysis. We use such intuition to design non-autocatalytic biochemical networks with superlinear growth and oscillations.
description: 42 pages
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System
Creators: name: Pan, Yunzhu
name: Li, Nian
name: Gao, Chen
name: Chang, Jianxin
name: Niu, Yanan
name: Song, Yang
name: Jin, Depeng
name: Li, Yong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Short-video recommendation is one of the most important recommendation applications in today's industrial information systems. Compared with other recommendation tasks, the enormous amount of feedback is the most typical characteristic. Specifically, in short-video recommendation, the easiest-to-collect user feedback is the skipping behavior, which leads to two critical challenges for the recommendation model. First, the skipping behavior reflects implicit user preferences, and thus, it is challenging for interest extraction. Second, this kind of special feedback involves multiple objectives, such as total watching time and skipping rate, which is also very challenging. In this paper, we present our industrial solution in Kuaishou, which serves billion-level users every day. Specifically, we deploy a feedback-aware encoding module that extracts user preferences, taking the impact of context into consideration. We further design a multi-objective prediction module which well distinguishes the relation and differences among different model objectives in the short-video recommendation. We conduct extensive online A/B tests, along with detailed and careful analysis, which verify the effectiveness of our solution.
description: Accepted by CIKM'23
On learning latent dynamics of the AUG plasma state
Creators: name: Kit, A.
name: Järvinen, A. E.
name: Poels, Y. R. J.
name: Wiesen, S.
name: Menkovski, V.
name: Fischer, R.
name: Dunne, M.
name: Team, ASDEX-Upgrade
Publisher: name: arXiv
Year: 2023
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: In this work, we demonstrate the utility of state representation learning applied to modeling the time evolution of electron density and temperature profiles at ASDEX-Upgrade (AUG). The proposed model is a deep neural network which learns to map the high dimensional profile observations to a lower dimensional state. The mapped states, alongside the original profile's corresponding machine parameters are used to learn a forward model to propagate the state in time. We show that this approach is able to predict AUG discharges using only a selected set of machine parameters. The state is then further conditioned to encode information about the confinement regime, which yields a simple baseline linear classifier, while still retaining the information needed to predict the evolution of profiles. We then discuss the potential use cases and limitations of state representation learning algorithms applied to fusion devices.
description: 9 pages, 11 figures, 4th International Conference on Data-Driven Plasma Sciences
Development and validation of the short version of the diabetes obstacles questionnaire (DOQ-30) in six European countries
Creators: name: Pilv, Liina
name: Vermeire, Etienne
name: Rätsep, Anneli
name: Moreau, Alain
name: Nikolić, Dragica
name: Davorina Petek
name: Yaman, Hakan
name: Oona, Marje
name: Kalda, Ruth
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Space Science
subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Background: Patients with type 2 diabetes reveal different obstacles in living with the disease. The EGPRN initiated a qualitative research EUROBSTACLE to create a broadly conceptualized diabetes-related quality of life (DR-QoL) instrument. It led to the development of the diabetes obstacle questionnaire (DOQ), a five-point Likert-scaled measure, consisting of 78 items in eight scales. Objectives: To develop and validate a short, easy-to-use version of the DOQ. Methods: A cross-sectional study with the DOQ was carried out. Participants answered the DOQ and GPs added some clinical data from their medical records. Data of 853 patients from Belgium, France, Estonia, Serbia, Slovenia, and Turkey were included in the analysis. The selection of items for the short version of the DOQ was achieved with exploratory factor analysis (EFA). Construct validity was proved with EFA and Pearson correlations between the DOQ and the new DOQ-30. Internal reliability was established with Cronbach’s alpha. Results: DOQ-30 resulted in 30 items in nine subscales. It explained 49.8% of items’ variance. It shows a considerable good internal reliability and construct validity. Conclusion: The DOQ-30 is a five-point Likert-scaled broadly conceptualized measure of DR-QoL. It addresses a variety of obstacles, such as social, psychological, cognitive and behavioural. The DOQ-30 is ready for implementation in general practice and research in Europe as a valuable instrument to assess DR-QoL.
Constraints on Axion-like Particles from Observations of Mrk 421 using the ${\rm CL_s}$ Method
Creators: name: Gao, Lin-Qing
name: Bi, Xiao-Jun
name: Guo, Jun-Guang
name: Lin, Wenbin
name: Yin, Peng-Fei
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Axion-like particles (ALPs) may undergo mixing with photons in the presence of astrophysical magnetic fields, leading to alterations in the observed high energy $γ$-ray spectra. In this study, we investigate the ALP-photon oscillation effect using the spectra of the blazar Mrk 421 over 15 observation periods measured by Major Atmospheric Gamma Imaging Cherenkov Telescopes (MAGIC) and Fermi Large Area Telescope (Fermi-LAT). Compared with previous studies, we generate mock data under the ALP hypothesis and employ the ${\rm CL_s}$ method to set constraints on the ALP parameters. This method is widely utilized in high energy experiments and avoids the exclusion of specific parameter regions where distinguishing between the null and ALP hypotheses is challenging. We find that the ALP-photon coupling $g_{aγ}$ is constrained to be smaller than $\sim 2\times10^{-11}$ GeV$^{-1}$ for ALP masses ranging from $10^{-9}$ eV to $10^{-7}$ eV at the 95\% confidence level. We also present the constraints derived from the TS distribution under the null hypothesis, which is commonly utilized in previous astrophysical ALP studies. Our results reveal that the combined constraints of all the periods obtained from both methods are consistent. However, the ${\rm CL_s}$ method remains effective in cases where the latter method fails to provide constraints for specific observation periods.
description: 10 pages, 27 figures
Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments
Creators: name: Randriamiarintsoa, Elie
name: Laconte, Johann
name: Thuilot, Benoit
name: Aufrère, Romuald
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Autonomous navigation in unknown 3D environments is a key issue for intelligent transportation, while still being an open problem. Conventionally, navigation risk has been focused on mitigating collisions with obstacles, neglecting the varying degrees of harm that collisions can cause. In this context, we propose a new risk-aware navigation framework, whose purpose is to directly handle interactions with the environment, including those involving minor collisions. We introduce a physically interpretable risk function that quantifies the maximum potential energy that the robot wheels absorb as a result of a collision. By considering this physical risk in navigation, our approach significantly broadens the spectrum of situations that the robot can undertake, such as speed bumps or small road curbs. Using this framework, we are able to plan safe trajectories that not only ensure safety but also actively address the risks arising from interactions with the environment.
description: \copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Partial characterization of an extracellular polysaccharide produced by the moderately halophilic bacterium Halomonas xianhensis SUR308
Creators: name: Jhuma Biswas
name: J. Ganguly
name: A.K. Paul
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Physiology
subject: Genetics
subject: Cell Biology
subject: Biochemistry

description: A moderately halophilic bacterium, Halomonas xianhensis SUR308 (Genbank Accession No. KJ933394) was isolated from a multi-pond solar saltern at Surala, Ganjam district, Odisha, India. The isolate produced a significant amount (7.87 g l−1) of extracellular polysaccharides (EPS) when grown in malt extract–yeast extract medium supplemented with 2.5% NaCl, 0.5% casein hydrolysate and 3% glucose. The EPS was isolated and purified following the conventional method of precipitation and dialysis. Chromatographic analysis (paper, GC and GC-MS) of the hydrolyzed EPS confirmed its heteropolymeric nature and showed that it is composed mainly of glucose (45.74 mol%), galactose (33.67 mol %) and mannose (17.83 mol%). Fourier-transform infrared spectroscopy indicated the presence of methylene and carboxyl groups as characteristic functional groups. In addition, its proton nuclear magnetic resonance spectrum revealed functional groups specific for extracellular polysaccharides. X-ray diffraction analysis revealed the amorphous nature (CIxrd, 0.56) of the EPS. It was thermostable up to 250°C and displayed pseudoplastic rheology and remarkable stability against pH and salts. These unique properties of the EPS produced by H. xianhensis indicate its potential to act as an agent for detoxification, emulsification and diverse biological activities.
On the invariant subspace problem via universal Toeplitz operators on the Hardy space $H^{2}(\mathbb{D}^{2})$
Creators: name: Carmo, João Marcos R. do
name: Ferreira, Marcos S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: The Invariant Subspace Problem (ISP) for Hilbert spaces asks if every bounded linear operator has a non-trivial closed invariant subspace. Due to the existence of universal operators (in the sense of Rota) the ISP can be solved by proving that every minimal invariant subspace of a universal operator is one dimensional. In this paper, we obtain a nontrivial invariant subspace of $T^{*}_φ|_{M}$, where $T_φ$ is the Toeplitz operator on the Hardy space over the bidisk $H^{2}(\mathbb{D}^{2})$ induced by the symbol $φ\in H^{\infty}(\mathbb{D})$ and $M$ is a $T_φ^{*}$-invariant subspace. We use this fact to get sufficient conditions for the ISP.
description: 7 pages
Additional file 1 of Successful ECMO treatment in patients with cerebral hemorrhage and PROC gene mutation associated with VTE: a case report
Creators: name: Wang, Lijie
name: Ma, Chengyong
name: Wang, Luping
name: Ding, Qianrong
name: Yang, Hao
name: Wang, Bo
name: Wu, Qin
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Molecular Biology
Neuroscience
Environmental Sciences not elsewhere classified
Cancer
Mental Health

description: Supplementary Material 1.
Towards Accurate Modeling of Line-Intensity Mapping One-Point Statistics: Including Extended Profiles
Creators: name: Bernal, José Luis
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Line-intensity mapping (LIM) is quickly attracting attention as an alternative technique to probe large-scale structure and galaxy formation and evolution at high redshift. LIM one-point statistics are motivated because they provide access to the highly non-Gaussian information present in line-intensity maps and contribute to break degeneracies between cosmology and astrophysics. Now that promising surveys are underway, an accurate model for the LIM probability distribution function (PDF) is necessary to employ one-point statistics. We consider the impact of extended emission and limited experimental resolution in the LIM PDF for the first time. We find that these effects result in a lower and broader peak at low intensities and a lower tail towards high intensities. Focusing on the distribution of intensities in the observed map, we perform the first model validation of LIM one-point statistics with simulations and find good qualitative agreement. We also discuss the impact on the covariance, and demonstrate that if not accounted for, large biases in the astrophysical parameters can be expected in parameter inference. These effects are also relevant for any summary statistic estimated from the LIM PDF, and must be implemented to avoid biased results. The comparison with simulations shows, however, that there are still deviations, mostly related with the modeling of the clustering of emitters, which encourage further development of the modeling of LIM one-point statistics.
description: 13 pages (+3 pages of references), 7 figures. Minimal changes in the text, results and conclusions unchanged, matches accepted version
TA2M2: (Inter)National Networking
Creators: name: Fichtmueller, David
name: Engel, Judith
name: Sauerland, Kristin
name: Luther, Katja
name: Güntsch, Anton
Publisher: name: Zenodo
Year: 2024
Subjects: AllHands4Biodiv

description: This poster describes the national and international networking activities of the NFDI4Biodiversity project as documented by the Measure 2 Task 2. The poster shows which projects, initiatives and organizations are relevant partners and planned future activities of the task.

It was presented during the poster session at the NFDI4Biodiversity All Hands Conference on 2024-04-25 in Munich.
Specific identification and detection of Pantoea stewartii subsp. stewartii using a membrane-based multi-gene oligonucleotide array
Creators: name: Tambong, James T.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 60506 Virology
subject: FOS: Biological sciences
subject: Plant Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Cancer
subject: Developmental Biology
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biotechnology
subject: Molecular Biology
subject: Genetics
subject: Cell Biology
subject: Microbiology
subject: Medicine
subject: Engineering

description: The Stewart’s wilt pathogen (Pantoea stewartii subsp. stewartii; Pss) of sweet corn is classified as a quarantine bacterium, requiring certification of grain shipments made to over 60 countries. This study reports the development and validation of the first multi-gene array for accurate and specific differentiation of Pss from Pantoea stewartii subsp. indologenes (Psi) and other Pantoea species using DNA, or RNA after generation of cDNA. The technique consisted of multiplex (16S rRNA, leuS, gyrB, rpoB, cpsD) PCR amplifications using universal and specific primers in a single reaction, followed by the hybridization of the digoxigenin-labelled amplicons to 22 specific oligonucleotide probes (19- to 24-mers) immobilized on a nylon membrane. The sensitivity of the array (10 fg of DNA) compared favourably with TaqMan real-time PCR. The specificity and reliability of the array was tested on 65 bacterial strains consisting of Pantoea species, closely and distantly related bacterial genera. Specific detection of Pss in infected corn leaves and seed homogenates was also validated using growth chamber-inoculated plants. The reported multi-gene DNA array could be a reliable tool for routine and specific detection of Pss.
Team-building and information flow for large groups such as online hackathons
Creators: name: Balli, Fabio
Publisher: name: Zenodo
Year: 2020
Subjects: team building
group regulation
stages of group development
co-decision
open collaboration
resource allocation
governance
imago adjustment
open access commons
game matchmaking
Laugeri's Three Contracts method
Emerging Change
Leonardo 3.4.5 team profile
systemics
social constructionism

description: April 24-26, 60’000 people will join the European Union challenge. Total time invested: 164 years, plus the wisdom of the crowd. Imagine these 60’000 people transform into one living organism. What could we dream this ‘super-body’ could achieve? The model presented replicates how the body works: as little information as needed (vs information overload): each person closely interacts with 14 people. coordinated work across teams (vs waste of resources): every individual contributes to one congruent whole. Leaders can rely on autonomous teams to support them. Individuals support each other to be part of a meaningful whole. There is a feeling of belonging, and projects sustain. Building on Laugeri's Three Contracts model, Leonardo 3.4.5 team profile, and matchmaking process
description: The event is only an example to illustrate the concept.