cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Two-Photon Excitation Spectroscopy of Silicon Quantum Dots and Ramifications for Bio-Imaging
Creators: name: Furey, Brandon J.
name: Stacy, Benjamin J.
name: Shah, Tushti
name: Barba-Barba, Rodrigo M.
name: Carriles, Ramon
name: Bernal, Alan
name: Mendoza, Bernardo S.
name: Korgel, Brian A.
name: Downer, Michael C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Two-photon excitation in the near-infrared (NIR) of colloidal nanocrystalline silicon quantum dots (nc-SiQDs) with photoluminescence also in the NIR has the potential to open up new opportunities in the field of deep biological imaging. Spectra of the degenerate two-photon absorption (2PA) cross section of colloidal nc-SiQDs are measured using two-photon excitation over a spectral range $1.46 < \hbar ω< 1.91$ eV (wavelength $850 > λ> 650$ nm) above the two-photon band gap $E_g^{(QD)}/2$, and at a representative photon energy $\hbar ω= 0.99$ eV ($λ= 1250$ nm) below this gap. Two-photon excited photoluminescence (2PE-PL) spectra of nc-SiQDs with diameters $d = 1.8 \pm 0.2$ and $d = 2.3 \pm 0.3$ nm, each passivated with 1-dodecene and dispersed in toluene, are calibrated in strength against 2PE-PL from a known concentration of Rhodamine B dye in methanol. The 2PA cross section is observed to be smaller for the smaller diameter nanocrystals and the onset of 2PA is observed to be blueshifted from the two-photon indirect band gap of bulk Si, as expected for quantum confinement of excitons. The efficiencies of nc-SiQDs for bio-imaging using 2PE-PL are simulated in various biological tissues and compared to other quantum dots and molecular fluorophores and found to be superior at greater depths.
description: 35 pages, 21 figures, 79 references. The following manuscript was published in ACS Nano. This preprint is the submitted version. The peer-reviewed article can be found here: https://doi.org/10.1021/acsnano.1c11428
Comparison of plasma ionization- and secondary electrospray ionization- high-resolution mass spectrometry for real-time breath analysis
Creators: name: Zeng, Jiafa
name: Christen, Alexandra
name: Dev Singh, Kapil
name: Frey, Urs
name: Sinues, Pablo
Publisher: name: Schweizerische Chemische Gesellschaft
Year: 2022
Subjects: subject: Breath analysis
subject: Mass spectrometry
subject: Plasma ionization
subject: secondary electrospray ionization
subject: 500 - Naturwissenschaften

description: Real-time breath analysis by high-resolution mass spectrometry (HRMS) is a promising method to noninvasively retrieve relevant biochemical information. In this work, we conducted a head-to-head comparison of two ionization techniques: Secondary electrospray ionization (SESI) and plasma ionization (PI), for the analysis of exhaled breath. Two commercially available SESI and PI sources were coupled to the same HRMS device to analyze breath of two healthy individuals in a longitudinal study. We analyzed 58 breath specimens in both platforms, leading to 2,209 and 2,296 features detected by SESI-HRMS and by PI-HRMS, respectively. 60% of all the mass spectral features were detected in both platforms. However, remarkable differences were noted in terms of the signal-to-noise ratio (S/N), whereby the median (interquartile range, IQR) S/N ratio for SESI-HRMS was 115 (IQR = 408), whereas for PI-HRMS it was 5 (IQR = 5). Differences in the mass spectral profiles for the same samples make the inter-comparability of both techniques problematic. Overall, we conclude that both techniques are excellent for real-time breath analysis because of the very rich mass spectral fingerprints. However, further work is needed to fully understand the exact metabolic insights one can gather using each of these platforms.
Chiral limits and effect of light on the Hofstadter butterfly in twisted bilayer graphene
Creators: name: Benlakhouy, Nadia
name: Jellal, Ahmed
name: Bahlouli, Hocine
name: Vogl, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the magnetic field induced Hofstadter butterfly in twisted bilayer graphene (TBG) in various kinds of situations. First, we study the equilibrium case and identify the interlayer hopping processes that are most crucial for the appearance of a Hofstadter butterfly. Surprisingly, the hopping processes that are important for the appearance of the Hofstadter butterfly can be categorized as AA stacking type - that is interlayer hoppings between equivalent sublattices. This is in contrast to AB/BA-type hoppings that are important for the appearance of flat bands in magic angle TBG and were discussed in [Phys. Rev. Lett. 122, 106405 (2019)]. We also find that if AB-type interlayer-hopping processes are turned off the resulting model is chiral but differs from the model discussed in \cite{Tarnopolsky}. Therefore, TBG has two separate chiral limits - one of them is important to understand the formation of flat bands and the other for the Hofstadter butterfly. Taking this as motivation we discuss how the role of AA-type hoppings in combination with lattice relaxation effects can make individual Landau levels slightly harder to resolve in an experimental setting than one would expect from a non-relaxed lattice setting. Finally, we consider the impact of different forms of light on the fractal structure of the butterfly. Particularly, we study the impact of circularly polarized light and longitudinal light originating from a waveguide. As the system is exposed to circularly polarized light we find butterflies with increasingly pronounced asymmetry with respect to energy $E=0$. This is due to the introduction of a gap term that breaks the chiral symmetries for both of the two chiral limits mentioned above. Lastly, we study the effect of longitudinal light that can be produced at the exit of a waveguide, in a slightly simplified model. Here, we find ...
description: 13 Figures
Method Development: A non-stereotactic device based method for CSF extraction from cisterna magna in rats.
Creators: name: Namrata Chaudhari
name: Palaniyandi Ravanan
name: Talwar, Priti
Publisher: name: figshare
Year: 2017
Subjects: Neuroscience

description: Biomarker discovery has traditionally been done from serum. However, the problem with serum is that we get high abundance proteins like albumin in large quantities. These high abundance biomarkers mask the presence of biomarkers which are present in minute quantity. The aim of biomarker discovery from CSF is that it would give us rather clear repertoire of biomarkers which are of neurological importance and specific to the CNS. In this work, we propose to standardize a lab protocol for extraction of CSF from Rat brain (cisterna magna). There are two different procedures for extraction of CSF. One by lumber puncture method without sacrificing the rat and the other method is serial extraction from the cisterna magna region. The cisterna magna is located in the lowermost portion of brain from where the spinal cord starts. Our aim was to adapt the second protocol to extract the CSF from in house Rat repository. In the first step we had tried our method on dead experimented albino Wistar rats. In the next step we tested it on 12 live albino Wistar rats.
Factors affecting crash severity in Roundabouts: A comprehensive analysis in the Jordanian context
Creators: name: Ashqar, Huthaifa
name: Alhadidi, Taqwa I.
name: Elhenawy, Mohammed
name: Jaradat, Shadi
Publisher: name: Elsevier
Year: 2024
Subjects: CN2
Injury crashes
Property damages only
Random forest
Rule-based model

description: Roundabouts are widely embraced for their perceived safety advantages over other types of unsignalized intersections. However, there has been an observed increase in crash rates at roundabouts over time in Jordan. This paper delves into modeling traffic crash severity at roundabouts, considering various factors such as weather, lighting, vehicle characteristics, geometric features, and driver age and gender. To comprehensively analyze roundabout crashes in Jordan, we constructed rule-based classifiers and Random Forest models after balancing the dataset. Rule-based models offer interpretability, albeit with some simplicity trade-off, while Random Forest models provide deeper analysis but require additional explanation. Presenting both outputs to subject matter experts and policymakers facilitates a holistic understanding of factors contributing to roundabout crashes in Jordan. Subsequently, CN2 results revealed that injury severity crashes are influenced by the time of the day, driver age, day of the week, speed, and number of vehicles involved. On the other hand, property damage-only crashes are affected by the number of lanes, time of the day, type of driver fault, lighting conditions, speed, and day of the week. The RF model analysis unveiled crucial factors influencing crash severity in roundabouts, notably the varying impact of driver age, time of day, the number of vehicles involved, seasonality, and vehicle speed. This proposed approach is promising, comprehensive, and not only enhances the understanding of roundabout crashes but also informs the development of effective, localized safety interventions.
A unified theory of ferromagnetic quantum phase transitions in heavy fermion metals
Creators: name: Wang, Jiangfan
name: Yang, Yi-feng
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Motivated by the recent discovery of a continuous ferromagnetic quantum phase transition in CeRh$_6$Ge$_4$ and its distinction from other U-based heavy fermion metals such as UGe$_2$, we develop a unified explanation of their different ground state properties based on an anisotropic ferromagnetic Kondo-Heisenberg model. We employ an improved large-$N$ Schwinger boson approach and predict a full phase diagram containing both a continuous ferromagnetic quantum phase transition for large magnetic anisotropy and first-order transitions for relatively small anisotropy. Our calculations reveal three different ferromagnetic phases including a half-metallic spin selective Kondo insulator with a constant magnetization. The Fermi surface topologies are found to change abruptly between different phases, consistent with that observed in UGe$_2$. At finite temperatures, we predict the development of Kondo hybridization well above the ferromagnetic long-range order and its relocalization near the phase transition, in good agreement with band measurements in CeRh$_6$Ge$_4$. Our results highlight the importance of magnetic anisotropy and provide a unified theory for understanding the ferromagnetic quantum phase transitions in heavy fermion metals.
description: 12 pages, 7 figures
Influence of moments of inertia on transverse wobbling mode in odd-mass nuclei
Creators: name: Zhang, Hui
name: Qi, Bin
name: Wang, Xu Dong
name: Jia, Hui
name: Wang, Shou Yu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The reported transverse wobbling band in odd-mass $^{105}$Pd has been reinvestigated by the triaxial particle rotor model. Employing different parameter sets of moment of inertia (MOI), several calculated results could be in good agreement with the experimental data, which show distinct modes of rotational excitation, respectively. These modes are sensitive to the ratio between the MOI at intermediate and short axis. With the increase of this ratio, a wobble about the short axis of the total angular momentum is gradually changed to a wobble about the intermediate axis. In addition, it is exhibited that precession and tunneling are two aspects of the quantum wobbling motion. The tunneling aspect dominates in the yrare states of $^{105}$Pd. The present results in $^{105}$Pd show the complexity of the transverse wobbling mode.
description: 21 pages, 7 figures
Ozone - Molecule of the Month March 1998 [Archived version]
Creators: name: Stattersfield, Eloise
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for March 1998 about ozone. It is a pdf archive version of the HTML webpage.
Complications in extracorporeal shockwave lithotripsy: a cohort study
Creators: name: Wagenius, Magnus
name: Jakobsson, Jon
name: Stranne, Johan
name: Linder, Adam
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Objective: The aim of this study was to evaluate clinically relevant complications within 14 days after extracorporeal shockwave lithotripsy (ESWL) in a modern setting. Materials and methods: Consecutive ESWL treatments between 2009 and 2015 in Ängelholm Hospital, Sweden, were analyzed retrospectively. The primary outcome was complications in patients seeking medical attention within 14 days after ESWL. Multivariable analysis was used to adjust for confounders such as diabetes, stone size and location, and presence of a urinary stent. Results: In total, 1838 stones were treated: 1185 (64.4%) localized in the renal pelvis, and 415 (22.5%) in the upper two-thirds and 205 (11.1%) in the lower third of the ureter. Overall, 116 out of 1838 cases (6.4%) needed medical attention within 14 days after ESWL and 75 (4%) crequired hospital care. Infection was found in 44 cases (2.4%), with a positive urine culture in 33 cases. Invasive/operative interventions were performed in 41 cases (2.2%). Distal stones had a lower risk of complications (p = 0.02) with ESWL. Diabetes (p = 0.02), larger stones (11–20 mm, p = 0.03; 21–30 mm, p = 0.009) and a need for antiemetics during treatment (p = 0.02) were significantly associated with an increased risk of complications. Conclusions: Few complications are associated with modern ESWL treatment. A frequency of 1 Hz should be used to reduce complications (p = 0.025). Diabetes and larger stone size increase the risk of complications. The need for antiemetics during ESWL requires special consideration and further study. Distal stones seem to carry a lower risk of complications (p = 0.017).
Modelling mass transfer from a packed bed by fluid extraction
Creators: name: Myers, Timothy G.
name: Valverde, Abel
name: Aguareles, Maria
name: Calvo-Schwarzwalder, Marc
name: Font, Francesc
Publisher: name: arXiv
Year: 2022
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A mathematical model describing the erosion or leaching of a solid material by a flowing fluid in a column is developed. This involves an advection-diffusion equation coupled to a linear kinetic reaction describing the mass transfer between the solid and fluid. Two specific cases are analysed, the first where the extracted material has the same saturation solubility and rate of mass transfer throughout the process, the second where the solubility switches after a certain amount of erosion. In the first case there are only two model unknowns, the solubility and mass transfer coefficient, in the second there is a third unknown, the second solubility. Exploiting the fact that erosion is a slow process (relative to the flow rate) a perturbation solution based on the smallness of the amount removed is developed to describe the concentration and radius throughout the column. From this an analytical expression for the extracted fraction is obtained. The extracted fraction has a large linear section which results in a simple calculation to estimate the initial solubility from a very few or even a single data point. The remaining unknowns may also be easily calculated from the formula and later data points. A numerical solution, using finite differences, is developed to verify the perturbation solution. The analytical solution is also verified against experimental data for the removal of lanolin from wool fibres with a supercritical CO$_\text{2}$/ethanol solvent. Values for the mass transfer rate and two solubilities are obtained for different pressures and shown to provide excellent agreement with a series of experimental results for the extracted fraction.
Two new 7, 20-epoxy-ent-kauranes from the aerial parts of Isodon eriocalyx
Creators: name: Li, Shu-Ying
name: Zhu, Li-Hua
name: Rao, Zheng-Yun
name: Wang, Chao-Jun
name: Jiang, Min
name: Zhang, Jian
name: Yin, Zhi-Qi
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Space Science
subject: Physical Sciences not elsewhere classified
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified

description: Two previously undescribed 7, 20-epoxy-ent-kauranes along with six known ent-kauranoids, were isolated from the aerial parts of Isodon eriocalyx. The structures of new compounds were established on the basis of extensive spectroscopic analyses. Compound 2 could inhibit the production of interleukin - 1β (IL - 1β) in monosodium urate (MSU) and lipopolysaccharide (LPS) induced macrophages.
The mechanical characterization of welded hybrid joints based on a fast-curing epoxy composite with an integrated phenoxy coupling layer
Creators: name: Zweifel, Lucian
name: Ritter, Klaus
name: Brauner, Christian
Publisher: name: MDPI
Year: 2022
Subjects: subject: 620 - Ingenieurwissenschaften und Maschinenbau

description: The joining of composites mostly relies on traditional joining technologies, such as film or paste adhesives, or mechanical fasteners. This study focuses on the appealing approach of using standard thermoplastic welding processes to join thermosets. To achieve this, a thermoplastic coupling layer is created by curing with a thermoset composite part. This leads to a functional surface that can be utilized with thermoplastic welding methods. The thermoplastic coupling layer is integrated as a thin film, compatible with the thermoset resin in the sense that it can partially diffuse in a controlled way into the thermoset resin during the curing cycle. Recent studies showed the high affinity for the interphase formation of poly hydroxy ether (phenoxy) film as coupling layer, in combination with a fast-curing epoxy system that cures within 1 min at 140 °C. In this study, an investigation based on resistance and ultrasonic welding techniques with different testing conditions of single-lap shear samples (at room temperature, 60 °C, and 80 °C) was performed. The results showed strong mechanical strengths of 28.9 MPa (±0.7%) for resistance welding and 24.5 MPa (±0.1%) for ultrasonic welding, with only a minor reduction in mechanical properties up to the glass transition temperature of phenoxy (90 °C). The combination of a fast-curing composite material with an ultra-fast ultrasonic joining technology clearly demonstrates the high potential of this joining technique for industrial applications, such as automotive, sporting goods, or wind energy. The innovation allowing structural joining performance presents key advantages versus traditional methods: the thermoplastic film positioning in the mold can be automated and localized, joint formation requires only a fraction of a second, and the joining operation does not require surface preparation/cleaning or structure deterioration (drilling).
Performance of the modified Becke-Johnson potential employing the pseudopotential plane-wave approach for band structure calculations
Creators: name: Abu-Farsakh, Hazem
name: Qteish, Abdallah
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: The modified Becke-Johnson exchange potential combined with local-density approximation correlation (mBJLDA) has recently attracted interest because it provides highly improved band gaps at a very low computational cost. In this work we performed an extensive investigation of the performance of the mBJLDA potential employing a norm-conserving pseudopotential plane-waves approach (mBJLDA@PP), as implemented in the abinit code, using a test set of 83 solids representing a wide range of semiconductors and insulators. Our results confirm the conclusion of our previous study that the number of electrons treated as valence in the pseudopotentials of the cations can have a significant impact on the calculated mBJLDA@PP band gaps. More specifically, while the use of typical pseudopotentials leads to accurate band gaps of certain systems, it yields significantly underestimated band gaps for other systems compared to experiment and to those of the all-electron mBJLDA (mBJLDA@AE) approach. The classes of the latter systems are identified, and this problem is resolved by including some outer core states as valence. The resulting mean absolute error in the calculated band gaps (compared to experiment) is of 0.46 eV, which is comparable to that of the mBJLDA@AE band gaps, reflecting the accuracy and reliability of the mBJLDA@PP approach for the band gap calculations.
Geochronology, geochemistry and isotope systematics of a mafic–intermediate dyke complex in the İstanbul Zone. New constraints on the evolution of the Black Sea in NW Turkey
Creators: name: Namık Aysal
name: Keskin, Mehmet
name: Peytcheva, Irena
name: Duru, Olgun
Publisher: name: Geological Society of London
Year: 2017
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences

description: Supplementary Table 1. Representative chemical composition (wt.%) of feldspars from the mafic–intermediate dykes.
A Multi-task Learning Framework for Product Ranking with BERT
Creators: name: Wu, Xuyang
name: Magnani, Alessandro
name: Chaidaroon, Suthee
name: Puthenputhussery, Ajit
name: Liao, Ciya
name: Fang, Yi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Product ranking is a crucial component for many e-commerce services. One of the major challenges in product search is the vocabulary mismatch between query and products, which may be a larger vocabulary gap problem compared to other information retrieval domains. While there is a growing collection of neural learning to match methods aimed specifically at overcoming this issue, they do not leverage the recent advances of large language models for product search. On the other hand, product ranking often deals with multiple types of engagement signals such as clicks, add-to-cart, and purchases, while most of the existing works are focused on optimizing one single metric such as click-through rate, which may suffer from data sparsity. In this work, we propose a novel end-to-end multi-task learning framework for product ranking with BERT to address the above challenges. The proposed model utilizes domain-specific BERT with fine-tuning to bridge the vocabulary gap and employs multi-task learning to optimize multiple objectives simultaneously, which yields a general end-to-end learning framework for product search. We conduct a set of comprehensive experiments on a real-world e-commerce dataset and demonstrate significant improvement of the proposed approach over the state-of-the-art baseline methods.
description: accepted by WWW22
23CH-1 (3D model)
Creators: name: Richard, Nicolas
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2022

description: Source: ANR INTERRUPTIONS (ANR-21-CE03-0017)
Effective Actor-centric Human-object Interaction Detection
Creators: name: Xu, Kunlun
name: Li, Zhimin
name: Zhang, Zhijun
name: Dong, Leizhen
name: Xu, Wenhui
name: Yan, Luxin
name: Zhong, Sheng
name: Zou, Xu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: While Human-Object Interaction(HOI) Detection has achieved tremendous advances in recent, it still remains challenging due to complex interactions with multiple humans and objects occurring in images, which would inevitably lead to ambiguities. Most existing methods either generate all human-object pair candidates and infer their relationships by cropped local features successively in a two-stage manner, or directly predict interaction points in a one-stage procedure. However, the lack of spatial configurations or reasoning steps of two- or one- stage methods respectively limits their performance in such complex scenes. To avoid this ambiguity, we propose a novel actor-centric framework. The main ideas are that when inferring interactions: 1) the non-local features of the entire image guided by actor position are obtained to model the relationship between the actor and context, and then 2) we use an object branch to generate pixel-wise interaction area prediction, where the interaction area denotes the object central area. Moreover, we also use an actor branch to get interaction prediction of the actor and propose a novel composition strategy based on center-point indexing to generate the final HOI prediction. Thanks to the usage of the non-local features and the partly-coupled property of the human-objects composition strategy, our proposed framework can detect HOI more accurately especially for complex images. Extensive experimental results show that our method achieves the state-of-the-art on the challenging V-COCO and HICO-DET benchmarks and is more robust especially in multiple persons and/or objects scenes.
description: 11 pages
Geochronology, geochemistry and isotope systematics of a mafic–intermediate dyke complex in the İstanbul Zone. New constraints on the evolution of the Black Sea in NW Turkey
Creators: name: Namık Aysal
name: Keskin, Mehmet
name: Peytcheva, Irena
name: Duru, Olgun
Publisher: name: Geological Society of London
Year: 2017
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences

description: Supplementary Table 3. Representative chemical composition (wt.%) of amphiboles from the mafic–intermediate dykes.
High efficiency coherent microwave-to-optics conversion via off-resonant scattering
Creators: name: Tu, Hai-Tao
name: Liao, Kai-Yu
name: Zhang, Zuan-Xian
name: Liu, Xiao-Hong
name: Zheng, Shun-Yuan
name: Yang, Shu-Zhe
name: Zhang, Xin-Ding
name: Yan, Hui
name: Zhu, Shi-Liang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Quantum transducers that can convert quantum signals from the microwave to the optical domain are a crucial optical interface for quantum information technology. Coherent microwave-to-optics conversions have been realized with various physical platforms, but all of them are limited to low efficiencies of less than 50\%, the threshold of the no-cloning quantum regime. Here we report a coherent microwave-to-optics transduction using Rydberg atoms and off-resonant scattering technique with an efficiency of $82\pm 2\%$ and a bandwidth of about 1 MHz. The high conversion efficiency is maintained for microwave photons range from thousands to about 50, suggesting that our transduction is readily applicable to the single-photon level. Without requiring cavities or aggressive cooling to quantum ground states, our results would push atomic transducers closer to practical applications in quantum technologies.
description: Nature Photonics(2022)
Recent advances in understanding bacterial and archaeoeukaryotic primases
Creators: name: Lipps, Georg
Publisher: name: Elsevier
Year: 2019
Subjects: replication primase

description: DNA replication in all forms of life relies upon the initiation of synthesis on a single strand template by formation of a short oligonucleotide primer, which is subsequently elongated by DNA polymerases. Two structurally distinct classes of enzymes have evolved to perform this function, namely the bacterial DnaG-type primases and the Archaeal and Eukaryotic primases (AEP). Structural and mechanistic insights have provided a clear understanding of the role of the different domains of these enzymes in the context of the replisome and recent work sheds light upon primase-substrate interactions. We herein review the emerging picture of the primase mechanism on the basis of the structural knowledge obtained to date and propose future directions of this essential aspect of DNA replication.
Additional file 6 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 6. The log2 fold change of up- and down-regulated differentially expressed mRNAs related to lncRNA TCONS_00230836 (PCC ≥0.950, or PCC ≤ -0.950, P < 0.05) in stearic acid-induced β-TC6 cells by high-throughput RNA-sequencing.
On the Excitation and Radiative Decay Rates of Plasmonic Nanoantennas
Creators: name: Bedingfield, Kalun
name: Demetriadou, Angela
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Plasmonic nanoantennas have the ability to confine and enhance incident electromagnetic fields into very sub-wavelength volumes, while at the same time efficiently radiating energy to the far-field. These properties have allowed plasmonic nanoantennas to be extensively used for exciting quantum emitters-such as molecules and quantum dots-and also for the extraction of photons from them for measurements in the far-field. Due to electromagnetic reciprocity, it is expected that plasmonic nanoantennas radiate energy as efficiently as an external source can couple energy to them. In this paper, we adopt a multipole expansion (Mie theory) and numerical simulations to show that although reciprocity holds, certain plasmonic antennas radiate energy much more efficiently than one can couple energy into them. This work paves the way towards designing plasmonic antennas with specific properties for applications where the near-to-far-field relationship is of high significance, such as: surface-enhanced Raman spectroscopy, strong coupling at room temperature, and the engineering of quantum states in nanoplasmonic devices.
description: 22 pages (1.5 linespacing), 6 figures
Places and perpetrators of violence against people with disability in Australia - Fact Sheet No.5
Creators: name: SUTHERLAND, GEORGINA
name: KRNJACKI, LAUREN
name: HARGRAVE, JEN
name: KAVANAGH, ANNE
name: Llewellyn, Gwynnyth
name: KAVENAGH, MELLISSA
name: Bollier, Anne-Marie
Publisher: name: University of Melbourne
Year: 2022
Subjects: People with disability
Public health not elsewhere classified
Social change
Social policy

description: In Australia people with disability are more likely to experience violence* from someone they know than by a stranger.
This fact sheet is the final in a series on violence against people with disability in Australia and is based on current data for men and women aged 18-64 years. Data are sourced from the Australian Bureau of Statistics 2016 Personal Safety Survey. Data are based on reporting of individual’s most recent incident of violence. We recognise that not all people with disability arerepresented in this survey and that experiences of violence are under-reported.
*Violence includes physical or sexual violence, emotional abuse, intimate partner violence, stalking and/or harassment.
The Violence and Disability Fact Sheets were produced by the team at the Centre of Research Excellence in Disability and Health (CRE-DH) and funded by the Melbourne Disability Institute.

www.credh.org.au
ML-CCD: machine learning model to predict concrete cover delamination failure mode in reinforced concrete beams strengthened with FRP sheets
Creators: name: Salahat, Fahed H.
name: Rasheed, Hayder A.
name: Ashqar, Huthaifa
Publisher: name: Elsevier
Year: 2024
Subjects: Machine learning
ACI440.2
Concrete cover delamination
FRP strengthening
Python
RC beams

description: ML-CCD is an open-source Python software based on a Machine-Learning model that was utilized to predict the premature failure of reinforced concrete (RC) beams strengthened with Fiber Reinforced Polymers (FRP). The model was trained using a database consisting of 70 experimentally tested beams that failed prematurely due to Concrete Cover Delamination (CCD). The significant beams parameters that influence the CCD failure were used in training the ML-CCD. This software predicts the ultimate strain in the FRP sheets at failure, thus finding its ultimate tensile strength and the effective strengthening ratio for design purposes.
Places and perpetrators of violence against people with disability in Australia - Fact Sheet No.5
Creators: name: SUTHERLAND, GEORGINA
name: KRNJACKI, LAUREN
name: HARGRAVE, JEN
name: KAVANAGH, ANNE
name: Llewellyn, Gwynnyth
name: KAVENAGH, MELLISSA
name: Bollier, Anne-Marie
Publisher: name: University of Melbourne
Year: 2020
Subjects: People with disability
Public health not elsewhere classified
Social change
Social policy

description: In Australia people with disability are more likely to experience violence* from someone they know than by a stranger.
This fact sheet is the final in a series on violence against people with disability in Australia and is based on current data for men and women aged 18-64 years. Data are sourced from the Australian Bureau of Statistics 2016 Personal Safety Survey. Data are based on reporting of individual’s most recent incident of violence. We recognise that not all people with disability arerepresented in this survey and that experiences of violence are under-reported.
*Violence includes physical or sexual violence, emotional abuse, intimate partner violence, stalking and/or harassment.
The Violence and Disability Fact Sheets were produced by the team at the Centre of Research Excellence in Disability and Health (CRE-DH) and funded by the Melbourne Disability Institute.

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www.credh.org.au
Geochronology, geochemistry and isotope systematics of a mafic–intermediate dyke complex in the İstanbul Zone. New constraints on the evolution of the Black Sea in NW Turkey
Creators: name: Namık Aysal
name: Keskin, Mehmet
name: Peytcheva, Irena
name: Duru, Olgun
Publisher: name: Geological Society of London
Year: 2017
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences

description: Supplementary Table 2. Representative chemical composition (wt.%) of pyroxenes from the mafic–intermediate dykes (calculated with using Winpyrox software, Yavuz 2013).
Additional file 5 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 5. The intracellular insulin content in β-TC6 cells after transfection of the TCONS_00230836 Smart Silencer in the absence or presence of stearic acid. n = 3 cell cultures per group. Ctrl, control group; SA, stearic acid, si-lnc836, Smart Silencer for TCONS_00230836.
Detailed procedures of synthesis and characterization of compounds 2a - 2c, Fig. S1 - S6 (DSC curves no shown in text), Fig. S7 - S34 (NMR), Fig. S35 - S45 (HRMS). from New azobenzene liquid crystal with dihydropyrazole heterocycle and photoisomerization studies
Creators: name: Wang, Xiaoxuan
name: Li, Zhaoxia
name: Zhao, Haiying
name: Chen, Shufeng
Publisher: name: The Royal Society
Year: 2020

description: New azobenzene derivatives with dihydropyrazole heterocycle have been prepared and characterized. According to thermal polarizing microscopy and differential scanning calorimetry studies, the compounds consisting four linearly linked rings and a long alkoxy chain on the azobenzene side (3a-8 and 3a-14) displayed no liquid crystal properties. When the length of mesogenic unit increased to five rings, except for compound 5a-8, all compounds from 5a-10 to 5a-16 containing a long chain of ten 10–16 carbon atoms on the side of ester group displayed liquid crystalline properties, and the mesogenic domain gradually narrowed with increase of the chain length. However, in the case of the molecular with long alkoxy chains on both sides, only 5c-16 with a long chain of sixteen carbon atoms exhibited liquid crystal behaviour. In addition, these azo compounds underwent isomerization from E to Z under ultraviolet irradiation and then thermal back relaxation slowly in the dark, which can be recycled many times.
A Deep Learning Framework to Reconstruct Face under Mask
Creators: name: Modak, Gourango
name: Das, Shuvra Smaran
name: Miraj, Md. Ajharul Islam
name: Morol, Md. Kishor
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing consistency to gender, ethnicity, expression, and other characteristics like the topological structure of the face. The purpose of this work is to extract the mask region from a masked image and rebuild the area that has been detected. This problem is complex because (i) it is difficult to determine the gender of an image hidden behind a mask, which causes the network to become confused and reconstruct the male face as a female or vice versa; (ii) we may receive images from multiple angles, making it extremely difficult to maintain the actual shape, topological structure of the face and a natural image; and (iii) there are problems with various mask forms because, in some cases, the area of the mask cannot be anticipated precisely; certain parts of the mask remain on the face after completion. To solve this complex task, we split the problem into three phases: landmark detection, object detection for the targeted mask area, and inpainting the addressed mask region. To begin, to solve the first problem, we have used gender classification, which detects the actual gender behind a mask, then we detect the landmark of the masked facial image. Second, we identified the non-face item, i.e., the mask, and used the Mask R-CNN network to create the binary mask of the observed mask area. Thirdly, we developed an inpainting network that uses anticipated landmarks to create realistic images. To segment the mask, this article uses a mask R-CNN and offers a binary segmentation map for identifying the mask area. Additionally, we generated the image utilizing landmarks as structural guidance through a GAN-based network. The studies presented in this paper use the FFHQ and CelebA datasets.
description: 6 pages, 9 figures, 2022 7th Conference on Data Science and Machine Learning Applications (CDMA)
Studie «always on». Wie Jugendliche das ständige Online-Sein erleben
Creators: name: Steiner, Olivier
name: Heeg, Rahel
Publisher: name: Hochschule für Soziale Arbeit FHNW
Year: 2019

description: Die Studie «always on» untersucht, wie Jugendliche das kontinuierliche Online-Sein erleben, wie sie damit umgehen und inwiefern das Erleben von und der Umgang mit «always on» jugendtypisch ist.
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios
Creators: name: Masri, Sari
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: Urban traffic management faces significant challenges due to the dynamic environments, and traditional algorithms fail to quickly adapt to this environment in real-time and predict possible conflicts. This study explores the ability of a Large Language Model (LLM), specifically, GPT-4o-mini to improve traffic management at urban intersections. We recruited GPT-4o-mini to analyze, predict position, detect and resolve the conflicts at an intersection in real-time for various basic scenarios. The key findings of this study to investigate whether LLMs can logically reason and understand the scenarios to enhance the traffic efficiency and safety by providing real-time analysis. The study highlights the potential of LLMs in urban traffic management creating more intelligent and more adaptive systems. Results showed the GPT-4o-mini was effectively able to detect and resolve conflicts in heavy traffic, congestion, and mixed-speed conditions. The complex scenario of multiple intersections with obstacles and pedestrians saw successful conflict management as well. Results show that the integration of LLMs promises to improve the effectiveness of traffic control for safer and more efficient urban intersection management.
Digitale Vernetzung des Einkaufs wächst
Creators: name: Tanner, Christian
name: Leimstoll, Uwe
Publisher: name: Verein procure.ch
Year: 2015
Subjects: subject: E-Procurement
subject: Studie
subject: Grossunternehmen
subject: Einkauf
subject: 650 - Management

description: Der IT-Einsatz in der Beschaffung ist für Schweizer Grossunternehmen von grosser Bedeutung. Der Wunsch nach mehr Effizienz und Transparenz kennzeichnet die heutige Situation und die geplante Weiterentwicklung. Eine neue Auflage der Studienreihe von FHNW und procure.ch gibt Aufschluss über die neuesten Erkenntnisse.
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Creators: name: Elhenawy, Mohammed
name: Abutahoun, Ahmad
name: Alhadidi, Taqwa I.
name: Jaber, Ahmed
name: Ashqar, Huthaifa
name: Jaradat, Shadi
name: Abdelhay, Ahmed
name: Glaser, Sebastien
name: Rakotonirainy, Andry
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: Multimodal Large Language Models (MLLMs) harness comprehensive knowledge spanning text, images, and audio to adeptly tackle complex problems, including zero-shot in-context learning scenarios. This study explores the ability of MLLMs in visually solving the Traveling Salesman Problem (TSP) and Multiple Traveling Salesman Problem (mTSP) using images that portray point distributions on a two-dimensional plane. We introduce a novel approach employing multiple specialized agents within the MLLM framework, each dedicated to optimizing solutions for these combinatorial challenges. Our experimental investigation includes rigorous evaluations across zero-shot settings and introduces innovative multi-agent zero-shot in-context scenarios. The results demonstrated that both multi-agent models. Multi-Agent 1, which includes the Initializer, Critic, and Scorer agents, and Multi-Agent 2, which comprises only the Initializer and Critic agents; significantly improved solution quality for TSP and mTSP problems. Multi-Agent 1 excelled in environments requiring detailed route refinement and evaluation, providing a robust framework for sophisticated optimizations. In contrast, Multi-Agent 2, focusing on iterative refinements by the Initializer and Critic, proved effective for rapid decision-making scenarios. These experiments yield promising outcomes, showcasing the robust visual reasoning capabilities of MLLMs in addressing diverse combinatorial problems. The findings underscore the potential of MLLMs as powerful tools in computational optimization, offering insights that could inspire further advancements in this promising field. Project link: https://github.com/ahmed-abdulhuy/Solving-TSP-and-mTSP-Combinatorial-Challenges-using-Visual-Reasoning-and-Multi-Agent-Approach-MLLMs-.git
The Paris Agreement: resolving the inconsistency between global goals and national contributions
Creators: name: Höhne, Niklas
name: Kuramochi, Takeshi
name: Warnecke, Carsten
name: Röser, Frauke
name: Fekete, Hanna
name: Hagemann, Markus
name: Day, Thomas
name: Ritika Tewari
name: Kurdziel, Marie
name: Sterl, Sebastian
name: Gonzales, Sofia
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: The adoption of the Paris Agreement in December 2015 moved the world a step closer to avoiding dangerous climate change. The aggregated individual intended nationally determined contributions (INDCs) are not yet sufficient to be consistent with the long-term goals of the agreement of ‘holding the increase in global average temperature to well below 2°C’ and ‘pursuing efforts’ towards 1.5°C. However, the Paris Agreement gives hope that this inconsistency can be resolved. We find that many of the contributions are conservative and in some cases may be overachieved. We also find that the preparation of the INDCs has advanced national climate policy-making, notably in developing countries. Moreover, provisions in the Paris Agreement require countries to regularly review, update and strengthen these actions. In addition, the significant number of non-state actions launched in recent years is not yet adequately captured in the INDCs. Finally, we discuss decarbonization, which has happened faster in some sectors than expected, giving hope that such a transition can also be accomplished in other sectors. Taken together, there is reason to be optimistic that eventually national action to reduce emissions will be more consistent with the agreed global temperature limits. Policy relevance The next step for the global response to climate change is not only implementation, but also strengthening, of the Paris Agreement. To this end, national governments must formulate and implement policies to meet their INDC pledges, and at the same time consider how to raise their level of ambition. For many developing countries, implementation and tougher targets will require financial, technological and other forms of support. The findings of this article are highly relevant for both national governments and support organizations in helping them to set their implementation priorities. Its findings also put existing INDCs in the context of the Paris Agreement's global goals, indicating the extent to which current national commitments need to be strengthened, and possible ways in which this could be done.