bluuebunny/crossref_metadata_2025 huggingface dataset:
Population structure, allelic variation at Rht-B1 and Ppd-A1 loci and its effects on agronomic traits in Argentinian durum wheat
Authors: Achilli Ana Laura , Roncallo Pablo Federico , Larsen Adelina Olga , Dreisigacker Susanne , Echenique Viviana
Published: June 2022

Exploring the genetic variability in yield and yield-related traits is essential to continue improving genetic gains. Fifty-nine Argentinian durum wheat cultivars were analyzed for important agronomic traits in three field experiments. The collection was genotyped with 3565 genome-wide SNPs and functional markers in order to determine the allelic variation at Rht-B1 and Ppd-A1 genes. Population structure analyses revealed the presence of three main groups, composed by old, modern and genotypes with European or CIMMYT ancestry. The photoperiod sensitivity Ppd-A1b allele showed higher frequency (75%) than the insensitivity one Ppd-A1a (GS105). The semi-dwarfism Rht-B1b and the Ppd-A1a (GS105) alleles were associated with increases in harvest index and decreases in plant height, grain protein content and earlier heading date, although only the varieties carrying the Rht-B1 variants showed differences in grain yield. Out of the two main yield components, grain number per plant was affected by allelic variants at Rht-B1 and Ppd-A1 loci, while no differences were observed in thousand kernel weight. The increases in grain number per spike associated with Rht-B1b were attributed to a higher grain number per spikelet, whereas Ppd-A1a (GS105) was associated with higher grain number per spikelet, but also with lower spikelets per spike.
Combining a transosseous cerclage wire after patellar tendon reattachment to treat patella distal pole fracture did not improve functional outcome
Authors: Kuo Li-Yang , Chen Chun-Yu , Lin Kai-Cheng
Published: June 2022

This study aims to investigate whether an augmented wire in the treatment of patella distal pole fracture could improve knee range of motion (ROM) and radiographic features. Thirty-five consecutive patients with patellar distal pole fracture were analyzed from January 2014 to July 2019. The treatment is divided into two groups according to the presence or absence of augmented wire. Knee ROM, bone union, extension lag, and patellar height were compared between these two groups as the clinical and radiological outcomes. There was no significant difference in mean knee ROM (110° vs. 108°, p = 0.79), proportion of patella baja or bone union. More extension lag was noted in the augmentation group (5/20, 25%) than in the tendon reattachment group (1/15, 6.7%) with no statistically significant difference. In the augmentation group, four cases (20%) would need to remove the fixator due to irritation or broken hardware. Maintaining the patella length by preserving the distal pole and repairing the torn retinaculum allowed early motion to avoid knee stiffness safely without augmentation wire, which doesn’t improve knee ROM. The patellar tendon reattachment alone could achieve a great recovery and prevent the need for a second surgery due to broken wire or irritation.
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Authors: Bamisile Olusola , Cai Dongsheng , Oluwasanmi Ariyo , Ejiyi Chukwuebuka , Ukwuoma Chiagoziem C. , Ojo Oluwasegun , Mukhtar Mustapha , Huang Qi
Published: June 2022

Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy resources is still a major drawback for these technologies. In this study, eight different artificial intelligence (AI) models namely; convolutional neural network (CNN), artificial neural network (ANN), long short-term memory recurrent model (LSTM), eXtreme gradient boost algorithm (XG Boost), multiple linear regression (MLR), polynomial regression (PLR), decision tree regression (DTR), and random forest regression (RFR) are designed and compared for solar irradiance prediction. Additionally, two hybrid deep neural network models (ANN-CNN and CNN-LSTM-ANN) are developed in this study for the same task. This study is novel as each of the AI models developed was used to estimate solar irradiance considering different timesteps (hourly, every minute, and daily average). Also, different solar irradiance datasets (from six countries in Africa) measured with various instruments were used to train/test the AI models. With the aim to check if there is a universal AI model for solar irradiance estimation in developing countries, the results of this study show that various AI models are suitable for different solar irradiance estimation tasks. However, XG boost has a consistently high performance for all the case studies and is the best model for 10 of the 13 case studies considered in this paper. The result of this study also shows that the prediction of hourly solar irradiance is more accurate for the models when compared to daily average and minutes timestep. The specific performance of each model for all the case studies is explicated in the paper.
An effective nano drug delivery and combination therapy for the treatment of Tuberculosis
Authors: Sheikhpour Mojgan , Delorme Vincent , Kasaeian Alibakhsh , Amiri Vahid , Masoumi Morteza , Sadeghinia Mohammad , Ebrahimzadeh Nayereh , Maleki Mobina , Pourazar Shahin
Published: June 2022

Drug resistance in tuberculosis is exacerbating the threat this disease is posing to human beings. Antibiotics that were once effective against the causative agent, Mycobacterium tuberculosis (Mtb), are now no longer usable against multi- and extensively drug-resistant strains of this pathogen. To address this issue, new drug combinations and novel methods for targeted drug delivery could be of considerable value. In addition, studies have shown that the use of the antidepressant drug fluoxetine, a serotonin reuptake inhibitor, can be useful in the treatment of infectious diseases, including bacterial infections. In this study, an isoniazid and fluoxetine-conjugated multi-walled carbon nanotube nanofluid were designed to increase drug delivery efficiency alongside eliminating drug resistance in vitro. The prepared nanofluid was tested against Mtb. Expression levels of inhA and katG mRNAs were detected by Real-time PCR. ELISA was applied to measure levels of cytokine secretion (TNF-α, and IL-6) from infected macrophages treated with the nano delivery system. The results showed that these nano-drug delivery systems are effective for fluoxetine at far lower doses than for free drugs. Fluoxetine also has an additive effect on the effect of isoniazid, and their concomitant use in the delivery system can have significant effects in treating infection of all clinical strains of Mtb. In addition, it was found that the expression of isoniazid resistance genes, including inhA, katG, and the secretion of cytokines TNFα and IL6 under the influence of this drug delivery system is well regulated. It was shown that the drug conjugation can improve the antibacterial activity of them in all strains and these two drugs have an additive effect on each other both in free and conjugated forms. This nano-drug delivery method combined with host targeted molecules could be a game-changer in the development of a new generation of antibiotics that have high therapeutic efficiencies, low side effects, and the potential to overcome the problem of drug resistance.
Evoked responses to note onsets and phrase boundaries in Mozart's K448
Authors: Feng Yijing , Quon Robert J. , Jobst Barbara C. , Casey Michael A.
Published: June 2022

Understanding the neural correlates of perception of hierarchical structure in music presents a direct window into auditory organization. To examine the hypothesis that high-level and low-level structures—i.e. phrases and notes—elicit different neural responses, we collected intracranial electroencephalography (iEEG) data from eight subjects during exposure to Mozart’s K448 and directly compared Event-related potentials (ERPs) due to note onsets and those elicited by phrase boundaries. Cluster-level permutation tests revealed that note-onset-related ERPs and phrase-boundary-related ERPs were significantly different at $$-150$$

-
150

, 200, and 450 ms relative to note onset and phrase markers. We also observed increased activity in frontal brain regions when processing phrase boundaries. We relate these observations to (1) a process which syntactically binds notes together hierarchically to form larger phrases; (2) positive emotions induced by successful prediction of forthcoming phrase boundaries and violations of melodic expectations at phrase boundaries.
The role of the diffusion in the predictions of the classical nucleation theory for quasi-real systems differ in dipole moment value
Authors: Koperwas Kajetan , Kaśkosz Filip , Affouard Frederic , Grzybowski Andrzej , Paluch Marian
Published: June 2022

In this paper, we examine the crystallization tendency for two quasi-real systems, which differ exclusively in the dipole moment's value. The main advantage of the studied system is the fact that despite that their structures are entirely identical, they exhibit different physical properties. Hence, the results obtained for one of the proposed model systems cannot be scaled to reproduce the results for another corresponding system, as it can be done for simple model systems, where structural differences are modeled by the different parameters of the intermolecular interactions. Our results show that both examined systems exhibit similar stability behavior below the melting temperature. This finding is contrary to the predictions of the classical nucleation theory, which suggests a significantly higher crystallization tendency for a more polar system. Our studies indicate that the noted discrepancies are caused by the kinetic aspect of the classical nucleation theory, which overestimates the role of diffusion in the nucleation process.
Effective removal of Pb(II) ions using piperazine-modified magnetic graphene oxide nanocomposite; optimization by response surface methodology
Authors: Alboghbeish Mousa , Larki Arash , Saghanezhad Seyyed Jafar
Published: June 2022

In this research, the piperazine-modified magnetic graphene oxide (Pip@MGO) nanocomposite was synthesized and utilized as a nano-adsorbent for the removal of Pb(II) ions from environmental water and wastewater samples. The physicochemical properties of Pip@MGO nanocomposite was characterized by X-ray diffraction analysis (XRD), Field emission scanning electron microscopy (FESEM), Transmission electron microscopy (TEM), Energy-dispersive X-ray spectroscopy (EDAX), Thermo-gravimetric analysis (TGA), Vibrating Sample Magnetometery (VSM) and Fourier-transform infrared spectroscopy (FT-IR) analysis. In this method, the batch removal process were designed by response surface methodology (RSM) based on a central composite design (CCD) model. The results indicated that the highest efficiency of Pb(II) removal was obtained from the quadratic model under optimum conditions of prominent parameters (initial pH 6.0, adsorbent dosage 7 mg, initial concentration of lead 15 mg L−1 and contact time 27.5 min). Adsorption data showed that lead ions uptake on Pip@MGO nanocomposite followed the Langmuir isotherm model equation and pseudo-second order kinetic model. High adsorption capacity (558.2 mg g−1) and easy magnetic separation capability showed that the synthesized Pip@MGO nanocomposite has great potential for the removal of Pb(II) ions from contaminated wastewaters.
Multimodal detection of dopamine by sniffer cells expressing genetically encoded fluorescent sensors
Authors: Klein Herenbrink Carmen , Støier Jonatan Fullerton , Reith William Dalseg , Dagra Abeer , Gregorek Miguel Alejandro Cuadrado , Cola Reto B. , Patriarchi Tommaso , Li Yulong , Tian Lin , Gether Ulrik , Herborg Freja
Published: June 2022

Dopamine supports locomotor control and higher brain functions such as motivation and learning. Consistently, dopaminergic dysfunction is involved in a spectrum of neurological and neuropsychiatric diseases. Detailed data on dopamine dynamics is needed to understand how dopamine signals translate into cellular and behavioral responses, and to uncover pathological disturbances in dopamine-related diseases. Genetically encoded fluorescent dopamine sensors have recently enabled unprecedented monitoring of dopamine dynamics in vivo. However, these sensors’ utility for in vitro and ex vivo assays remains unexplored. Here, we present a blueprint for making dopamine sniffer cells for multimodal dopamine detection. We generated sniffer cell lines with inducible expression of seven different dopamine sensors and perform a head-to-head comparison of sensor properties to guide users in sensor selection. In proof-of-principle experiments, we apply the sniffer cells to record endogenous dopamine release from cultured neurons and striatal slices, and for determining tissue dopamine content. Furthermore, we use the sniffer cells to measure dopamine uptake and release via the dopamine transporter as a radiotracer free, high-throughput alternative to electrochemical- and radiotracer-based assays. Importantly, the sniffer cell framework can readily be applied to the growing list of genetically encoded fluorescent neurotransmitter sensors.
The phylodynamics of SARS-CoV-2 during 2020 in Finland
Authors: Truong Nguyen Phuoc , Kant Ravi , Van den Broeck Frederik , Suvanto Maija T. , Alburkat Hussein , Virtanen Jenni , Ahvenainen Ella , Castren Robert , Hong Samuel L. , Baele Guy , Ahava Maarit J. , Jarva Hanna , Jokiranta Suvi Tuulia , Kallio-Kokko Hannimari , Kekäläinen Eliisa , Kirjavainen Vesa , Kortela Elisa , Kurkela Satu , Lappalainen Maija , Liimatainen Hanna , Suchard Marc A. , Hannula Sari , Ellonen Pekka , Sironen Tarja , Lemey Philippe , Vapalahti Olli , Smura Teemu
Published: June 2022

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of infections and fatalities globally since its emergence in late 2019. The virus was first detected in Finland in January 2020, after which it rapidly spread among the populace in spring. However, compared to other European nations, Finland has had a low incidence of SARS-CoV-2. To gain insight into the origins and turnover of SARS-CoV-2 lineages circulating in Finland in 2020, we investigated the phylogeographic and -dynamic history of the virus.

Methods

The origins of SARS-CoV-2 introductions were inferred via Travel-aware Bayesian time-measured phylogeographic analyses. Sequences for the analyses included virus genomes belonging to the B.1 lineage and with the D614G mutation from countries of likely origin, which were determined utilizing Google mobility data. We collected all available sequences from spring and fall peaks to study lineage dynamics.

Results

We observed rapid turnover among Finnish lineages during this period. Clade 20C became the most prevalent among sequenced cases and was replaced by other strains in fall 2020. Bayesian phylogeographic reconstructions suggested 42 independent introductions into Finland during spring 2020, mainly from Italy, Austria, and Spain.

Conclusions

A single introduction from Spain might have seeded one-third of cases in Finland during spring in 2020. The investigations of the original introductions of SARS-CoV-2 to Finland during the early stages of the pandemic and of the subsequent lineage dynamics could be utilized to assess the role of transboundary movements and the effects of early intervention and public health measures.
High-content atomically distributed W(v,vi) on FeCo layered double hydroxide with high oxygen evolution reaction activity
Authors: Liang Xiao , Chiang Fu-Kuo , Zheng Lirong , Xiao Hong , Zhang Tengfei , Zhang Fanchao , Gao Qiuming
Published: June 2022

High-content single-atom W(v,vi) anchored on the FeCo layered double hydroxide nanosheet obtained by coprecipitation method shows a high and stable oxygen evolution reaction electrocatalytic activity.
Modulating the antibacterial activity of gold nanoparticles by balancing their monodispersity and aggregation
Authors: Wang Le , Zheng Wenfu , Li Sixiang , Hou Qinghong , Jiang Xingyu
Published: June 2022

We report a method to balance nanoparticle monodispersity and antibacterial activity. By tuning the balance between the exposure and shielding of active molecules on gold nanoparticles, a maximal antibacterial property is achieved.
A caveat of the charge-extrapolation scheme for modeling electrochemical reactions on semiconductor surfaces: an issue induced by a discontinuous Fermi level change
Authors: Liu Yu , Ding Xinlong , Chen Mohan , Xu Shenzhen
Published: June 2022

The invalidity of the constant capacitance assumption in the charge-extrapolation scheme applied for semiconductor cases, and the improved results when the cross-bandgap feature of the Fermi level variation is avoided.
Computational approaches for XANES, VtC-XES, and RIXS using linear-response time-dependent density functional theory based methods
Authors: Nascimento Daniel R. , Govind Niranjan
Published: June 2022

Time-dependent density functional theory provides a sufficiently accurate framework to study X-ray spectroscopies.
Pressure and temperature stability boundaries of cubic SiC polymorphs: a first-principles investigation
Authors: Pertierra Pilar , Salvadó Miguel A. , Franco Ruth , Recio J. Manuel
Published: June 2022

The Clapeyron pink equilibrium curve separates into two stability regions: the B3 and B1 3C–SiC polymorphs. Inside each of them, the striped lines indicate the conditions where the other phase can be found metastable due to the kinetics of the transition.
Thermodynamic stability of Pd–Ru alloy nanoparticles: combination of density functional theory calculations, supervised learning, and Wang–Landau sampling
Authors: Nanba Yusuke , Koyama Michihisa
Published: June 2022

Composition, size, and structure dependences of stable configuration of Pd–Ru alloy nanoparticles under finite temperature were theoretically investigated by using density functional theory calculation, multiple regression, and Wang–Landau sampling.
Hyperconverged autonomous organic reaction infrastructure (HAORI) driven by SpecSNN, for low dielectric constant polymer research
Authors: Xu Yanheng , Qiu Kaibin , Xiao Shuyu , Liang Jiechun , He Tingchao , Zhu Xi
Published: June 2022

We developed a hyper-converged autonomous organic reaction infrastructure (HAORI) that integrates reactions, characterization, and closed-loop optimization, driven by the Spectrum Spiking Neural Network (SpecSNN) architecture.
A BOPHY based fluorescent probe for Hg2+via NTe2 chelation
Authors: Malankar Gauri S. , Shelar Divyesh S. , M. Manikandan , Patra Malay , Butcher Ray J. , Manjare Sudesh T.
Published: June 2022

The first tellurium derivative of BOPHY is reported. The probe could detect Hg2+ inside HeLa cells with an instantaneous fluorescence turn-on response in the nanomolar range.
A sinter-free future for solid-state battery designs
Authors: Hood Zachary D. , Zhu Yuntong , Miara Lincoln J. , Chang Won Seok , Simons Philipp , Rupp Jennifer L. M.
Published: June 2022

The newly developed sequential decomposition synthesis (SDS) method permits the fabrication of ceramic solid electrolytes with thickness close to today's polymer separators and offers opportunities to obtain the desired phase at reduced temperatures.
Correction: Parallel water photo-oxidation reaction pathways in hematite photoanodes: implications for solar fuel production
Authors: Tsyganok Anton , Monroy-Castillero Paulino , Piekner Yifat , Yochelis Arik , Rothschild Avner
Published: June 2022

Correction for ‘Parallel water photo-oxidation reaction pathways in hematite photoanodes: implications for solar fuel production’ by Anton Tsyganok et al., Energy Environ. Sci., 2022, https://doi.org/10.1039/d1ee03953a.
A pilot study on extractable organofluorine and per- and polyfluoroalkyl substances (PFAS) in water from drinking water treatment plants around Taihu Lake, China: what is missed by target PFAS analysis?
Authors: Jiao Enmiao , Zhu Zhiliang , Yin Daqiang , Qiu Yanling , Kärrman Anna , Yeung Leo W. Y.
Published: June 2022

Mass balance analysis of organofluorine in raw and treated water revealed that at least 68% of EOF could not be explained by target PFAS. Ultra-short PFAS (TFA, PFPrA, TFMS, PFEtS and PFPrS) contributed to 6% to 89% of ∑PFAS.
Allicin attenuated hepatic ischemia/reperfusion injury in mice by regulating PPARγ-IRAK-M-TLR4 signal pathway
Authors: Li Weiwei , Huang Rui , Gong Xia , Zhao Zizuo , Zhang Lidan , Zhou Qin , Jiang Xujie , Tie Hongtao , Wan Jingyuan , Wang Bin
Published: June 2022

This study shows that allicin has a protective effect on hepatic I/R injury by inhibiting hepatic apoptosis, inflammation and oxidative stress. It may be involved in regulating PPARγ-IRAK-M-TLR4 signal pathway and could be used as a therapeutic drug.
Computational understanding role of vacancies and distortions in wurtzite ferroelectric memory materials: implications for device miniaturization
Authors: Wang Qiang , Go Shao-Xiang , Liu Chen , Li Minghua , Zhu Yao , Li Lunna , Lee Tae Hoon , Loke Desmond K.
Published: June 2022

Herein, we demonstrate that the stable AlScN model with wurtzite structure is described by small/negligible vacancy concentrations and minimal localized distortions.
The floating body effect of a WSe2 transistor with volatile memory performance
Authors: Wang Zhan-Peng , Xie Peng , Mao Jing-Yu , Wang Ruopeng , Yang Jia-Qin , Feng Zihao , Zhou Ye , Kuo Chi-Ching , Han Su-Ting
Published: June 2022

The innovative exploration of the floating body effect in a 2D WSe2 dual-gate transistor for the potential implementation of single-transistor capacitor-less dynamic random access memory.
Self-reporting of damage in underwater hierarchical ionic skinsviacascade reaction-regulated chemiluminescence
Authors: Jia Liangying , Xiao Jing , Cui Jiwei , Hao Jingcheng , Wang Xu
Published: June 2022

A chemiluminescence-based strategy regulated by a cascade reaction was developed and applied for the self-reporting of fracture damage of underwater hierarchical ionic skins.
Quantification and removal of carbonaceous impurities in a surfactant-assisted carbon nanotube dispersion and its implication on electronic properties
Authors: Park Minsuk , Choi In-Seung , Ju Sang-Yong
Published: June 2022

Carbonaceous impurities present in carbon nanotube batches were isolated and characterized, and their electrical and thermal properties were investigated.
Flower-like Co3Ni1B nanosheets based on reduced graphene oxide (rGO) as an efficient electrocatalyst for the oxygen evolution reaction
Authors: Ding Junxia , Yue Ruimei , Zhu Xiaolun , Liu Wentong , Pei Hebing , He Simin , Mo Zunli
Published: June 2022

Flower-like Co3Ni1B nanosheets based on a reduced graphene oxide electrocatalyst exhibit a better OER performance than commercial RuO2.
A self-cleaning hydrophobic MOF-based composite for highly efficient and recyclable separation of oil from water and emulsions
Authors: Ghosh Subhrajyoti , Rana Abhijeet , Kumar Saurav , Gogoi Chiranjib , Mukherjee Srijan , Manna Uttam , Biswas Shyam
Published: June 2022

A MOF-derived composite was utilized for fast, highly efficient and recyclable separation of oils from oil–water mixtures and water-in-oil emulsions. It also exhibited self-cleaning ability.
Structure and surface analyses of a newly synthesized acyl thiourea derivative along with its in silico and in vitro investigations for RNR, DNA binding, urease inhibition and radical scavenging activities
Authors: Khalid Aqsa , Arshad Nasima , Channar Pervaiz Ali , Saeed Aamer , Mir Muhammad Ismail , Abbas Qamar , Ejaz Syeda Abida , Hökelek Tuncer , Saeed Amna , Tehzeeb Arfa
Published: June 2022

A new acyl thiourea derivative was explored for its binding interaction with RNR and DNA and for excellent urease inhibition activity.
Combining hyperspectral imaging and electrochemical sensing for detection of Pseudomonas aeruginosa through pyocyanin production
Authors: Dunphy R. David , Lasserre Perrine , Riordan Lily , Duncan Katherine R. , McCormick Christopher , Murray Paul , Corrigan Damion K.
Published: June 2022

Pyocyanin production by Pseudomonas aeruginosa can be monitored using hyperspectral imaging and square wave voltammetry, with electrochemical impedance spectroscopy offering new avenues for low-cost sensing approaches to biofilm characterisation.
Unexpected high toughness of Samia cynthia ricini silk gut
Authors: Aznar-Cervantes Salvador D. , Cenis José Luis , Lozano-Picazo Paloma , Bruno Augusto Luis , Pagán Ana , Ruiz-León Yolanda , Candel María José , González-Nieto Daniel , Rojo Francisco Javier , Elices Manuel , Guinea Gustavo Víctor , Pérez-Rigueiro José
Published: June 2022

Samia silk gut shares the microstructure and mechanical properties with a naturally spun fiber, but reaches higher values of work to fracture.
Enhanced strains by flexible nanoscale domain structure in BNKT-SBT relaxor ferroelectrics
Authors: Sun Xiaoyuan , Qian Hao , Zheng Tianyang , Chen Fujun , Liu Yunfei , Lyu Yinong
Published: June 2022

The flexible domain structure and coexistence of R and T nanodomains are responsible for the enhanced strains and strong relaxor.
GaiaData Release 3
Authors: Blomme R. , Frémat Y. , Sartoretti P. , Guerrier A. , Panuzzo P. , Katz D. , Seabroke G. M. , Thévenin F. , Cropper M. , Benson K. , Damerdji Y. , Haigron R. , Marchal O. , Smith M. , Baker S. , Chemin L. , David M. , Dolding C. , Gosset E. , Janßen K. , Jasniewicz G. , Lobel A. , Plum G. , Samaras N. , Snaith O. , Soubiran C. , Vanel O. , Zwitter T. , Brouillet N. , Caffau E. , Crifo F. , Fabre C. , Fragkoudi F. , Huckle H. E. , Jean-Antoine Piccolo A. , Lasne Y. , Leclerc N. , Mastrobuono-Battisti A. , Royer F. , Viala Y. , Zorec J.
Published: June 2022

Context.The secondGaiadata release, DR2, contained radial velocities of stars with effective temperatures up toTeff = 6900 K. The third data release,GaiaDR3, extends this up toTeff = 14 500 K.

Aims.We derive the radial velocities for hot stars (i.e., in theTeff = 6900 − 14 500 K range) from data obtained with the Radial Velocity Spectrometer (RVS) on boardGaia.

Methods.The radial velocities were determined by the standard technique of measuring the Doppler shift of a template spectrum that was compared to the observed spectrum. The RVS wavelength range is very limited. The proximity to and systematic blueward offset of the calcium infrared triplet to the hydrogen Paschen lines in hot stars can result in a systematic offset in radial velocity. For the hot stars, we developed a specific code to improve the selection of the template spectrum, thereby avoiding this systematic offset.

Results.With the improved code, and with the correction we propose to the DR3 archive radial velocities, we obtain values that agree with reference values to within 3 km s−1(in median). Because of the required S/N for applying the improved code, the hot star radial velocities in DR3 are mostly limited to stars with a magnitude in the RVS wavelength band ≤12 mag.
Pédagogie hybride pour l’apprentissage de la conception d’un microprocesseur simplifié niveau master avec μWind
Authors: Trojman L. , Viteri F. , Sicard E.
Published: June 2022

En 2016, nous avons lancé le premier master de Nanoélectronique en Équateur à l’Universidad San Francisco de Quito (USFQ). Il s’agit d’un master en Double Diplôme dont le Master 1 (M1) se fait en Equateur et le Master 2 (M2) soit en France (Institut National Polytechnique de Toulouse, INPT) soit en Italie (Université de Calabres, UNICAL). Parmi les cours proposés le cours de design de microprocesseur de 48h est divisé en 2 parties dont une se concentrant sur le design d’un VSM (Very Simple Microprocessor). Dans une pédagogie de type classe inversée, une approche de type Apprentissage Par Projet (APP) a été choisie en utilisant comme support l’outil de design Microwind, logiciel de design de circuits intégrés incluant une perspective technologique. Ce type de travail a été reproduit tous les ans et Microwind a continué à intégrer de nouveaux noeuds technologiques avec de nouvelle architectures : planar, FinFET et plus récemment Nano-Sheet FET. De cette façon chaque nouvelle promotion peut apprendre à pratiquer l’intégration des VSM « customized » avec la possibilité d’intégrer des noeuds technologiques les plus avancés.
Les enjeux environnementaux et sociétaux en microélectronique Impacts sur la formation
Authors: Robert M. , Torres L. , Bantignies J.-L. , Laffont R.
Published: June 2022

Le monde numérique n’est pas immatériel : sa réalité physique a un impact environnemental, sociétal et énergétique croissant au vu de nos usages. Ces enjeux représentent des défis, des menaces mais aussi des opportunités. Après avoir exposé les limites et les impacts des technologies actuelles du monde numérique, nous décrirons quelques exemples d’innovations et d’opportunités, ainsi que quelques pistes pour la prise en compte de ces enjeux dans la formation des étudiants pour un numérique responsable et soutenable.
La microscopie confocale : un support de formation en micro- et nano-électronique au CCMO, pôle CFM de Rennes
Authors: Pichon L. , Landesman J. P. , Lhermite H.
Published: June 2022

L’article présente de l’apport de la microscopie confocale dans les formations en micro- et nano-technologies proposées par le CCMO (Centre Commun de Microélectronique de l’Ouest), pôle CFNM de Rennes. Un focus particulier est porté sur l’observation et la caractérisation à l’échelle micro et nanométrique d’objets (composants, nanofils,…) ou de systèmes microélectroniques (architecture physique de microprocesseurs).
Procédé plastronique Electronique Structurelle Surmoulée (ESS, IME – In Mold Electronics) dans un projet de mise en œuvre pratique
Authors: Lombard Ph , Gerges T. , Charmeau J.-Y. , Allard B. , Cabrera M.
Published: June 2022

Au croisement des métiers de la plasturgie et de l’électronique, la plastronique constitue un nouveau champ technologique et ouvre de nouvelles opportunités pour miniaturiser et intégrer de manière optimale des systèmes électroniques aux objets polymères en trois dimensions – 3D. De nouveaux procédés émergent et trouvent des applications innovantes dans de nombreux secteurs d’activité.

A cet égard, l’intérêt des industriels et des étudiants est en pleine croissance. Il convient de répondre à ces attentes avec un éventail de formations appropriées et de les accompagner par des enseignements spécifiques que nous souhaitons originaux.

Cet article introduit la plastronique et plus particulièrement le procédé plastronique 3D appelé Electronique Structurelle Surmoulée (ESS, IME – In Mold Electronics). Il présente également les étapes du travail expérimental et pratique de mise en oeuvre d’un projet étudiant. L’objectif est de s’adapter aux niveaux des apprenants et aux objectifs pédagogiques désirés. Il s’agit de réaliser, dans son ensemble, un dispositif fonctionnel concret suscitant l’éveille et l’intérêt des apprenants.
Introduction à la modélisation compacte de transistor MOS pour concepteurs de circuits intégrés : mise en pratique de la théorie
Authors: Hébrard L. , Antoni F. , Schwartz F. , Stock F. , Constantin D. , Litaudon S. , Gonzalez B.
Published: June 2022

Les étudiants en conception de circuits intégrés analogiques doivent maîtriser le fonctionnement du transistor MOS. Ceci passe par une compréhension approfondie des modèles compacts des transistors utilisés pour dimensionner et simuler les circuits, et demande un fort investissement en physique du semi-conducteur. Afin de motiver les étudiants du Master Systèmes Microélectroniques de l’Université de Strasbourg, leur cours de modélisation des composants est relié à leur stage de fabrication de transistors NMOS au Centre Interuniversitaire de Micro-Electronique et Nanotechnologies de Grenoble en leur proposant de modéliser et simuler par éléments finis les transistors qu’ils ont fabriqués. Le cours théorique établit le modèle compact et les travaux pratiques permettent de simuler les caractéristiques I-V des transistors à partir desquelles les étudiants extraient les paramètres électriques du modèle. En parallèle, les étudiants caractérisent les transistors qu’ils ont fabriqués et en déduisent par mesure les paramètres électriques qui sont comparés aux paramètres extraits des simulations. Dans cet article, nous décrivons le déroulé des enseignements que nous avons mis en place, depuis la fabrication jusqu’à l’extraction des paramètres afin de montrer la cohérence d’ensemble qui est un vrai atout pour motiver les étudiants à s’investir en physique du semi-conducteur et modélisation des composants électroniques intégrés.
Lab-On-a-Chip : réalisation d'une PCR “Polymerase Chain Reaction”
Authors: Poulichet P. , Rousseau L. , Pagazani J. , Français O.
Published: June 2022

Cet article décrit la réalisation et la mise en oeuvre du thermocycleur d’une puce PCR (Polymerase Chain Reaction) par des étudiants ingénieurs de niveau M1/M2 à ESIEE Paris. Les étudiants réalisent en salle blanche un prototype de puce PCR. Ils mettent en oeuvre une électronique de commande pour assurer les cycles de chauffage/refroidissement nécessaire à la duplication des brins d’ADN. Le procédé de micro-fabrication des puces inclut deux étapes de photolithographie avec un dépôt de métal et une passivation. L’électronique est constituée d’une partie détection de la température, d’une partie commande en température et d’une partie asservissement numérique. Ici, un Arduino est utilisé afin de contrôler les phases de température du thermocycleur. Les étudiants réalisent l’électronique sur plaquette d’essais. Un packaging imprimé en 3D, associé à des pointes en ressort, permet d’insérer la puce facilement sur la plaquette d’essais. Les étudiants restent très motivés durant l’ensemble de l’étude du thermocycleur. Ils conçoivent et réalisent une électronique sur un circuit qu’ils ont réalisé en salle blanche. Ils développent leur propre système embarqué. Le contexte de la COVID19 et la détection du virus sont également un très bon vecteur de motivation pour comprendre comment fonctionne une PCR.
Wann wir ROT sehen müssen: akute Hirnblutungen und ihr
Verlauf in der MRT
Authors: Bienias Tomasz
Published: June 2022

Die MRT zählt mittlerweile zum Goldstandard bei vielen klinischen Fragen.
Erkrankungen wie die akute Hirnblutung und deren komplexen Verlauf treten
hierbei als Zufallsbefund in Erscheinung. Die Rolle und Verantwortung des MTRA
wächst dabei in der täglichen Routine, der Teleradiologie und
der Remote-Bedienung des MRT ständig weiter, da sie die Bilder als
Erstes überprüfen. Umso wichtiger ist es, solch eine Blutung zu
erkennen.
Liebe Kolleginnen und Kollegen,
Authors: Apel Marcel
Published: June 2022

seit über zwei Jahren verlangt uns die Corona-Pandemie so einiges ab und
jetzt tobt auch noch seit Wochen ein Krieg mitten in Europa.
Einsatz des „Smart Simulators“ in der Ausbildung von Radiologietechnolog* innen
Authors: Prokopetz Martina , Maria Heide
Published: June 2022

Als österreichweit erste Hochschule bietet die FH Gesundheit ihren
Studierenden im Bachelor-Studiengang Radiologietechnologie die
Möglichkeit, den „Smart Simulator“ (Siemens
Healthineers) zu nutzen. Mit dieser innovativen Technologie können CT-,
MRT- oder PET-CT-Untersuchungen aber auch die digitale Bildnachbearbeitung
virtuell trainiert werden.
Diagnostik und Therapie von
Gefäßmalformationen
Authors: Doppler Michael , Uller Wibke
Published: June 2022

Die Gefäßmalformationen zählen zur Erkrankungsgruppe der
vaskulären Anomalien. Aufgrund ihres z. T. sehr heterogenen klinischen
Erscheinungsbildes werden die vaskulären Malformationen bzw. Anomalien
nicht immer korrekt klassifiziert und bezeichnet. Weil sich die Therapien je
nach Erkrankung jedoch erheblich unterscheiden, sind eine korrekte
Klassifikation und Diagnose essenziell für den Behandlungserfolg.
Does i-scan improve adenoma detection rate compared to high-definition colonoscopy? A systematic review and meta-analysis
Authors: Aziz Muhammad , Ahmed Zohaib , Haghbin Hossein , Pervez Asad , Goyal Hemant , Kamal Faisal , Kobeissy Abdallah , Nawras Ali , Adler Douglas G.
Published: June 2022

Background and study aims Recent studies evaluated the impact of i-scan in improving the adenoma detection rate (ADR) compared to high-definition (HD) colonoscopy. We aimed to systematically review and analyze the impact of this technique.

Methods A thorough search of the following databases was undertaken: PubMed/Medline, EMBASE, Cochrane and Web of Science. Full-text RCTs and cohort studies directly comparing i-scan and HD colonoscopy were deemed eligible for inclusion. Dichotomous outcomes were pooled and compared using random effects model and DerSimonian-Laird approach. For each outcome, relative risk (RR), 95 % confidence interval (CI), and P value was generated. P < 0.05 was considered statistically significant.

Results A total of five studies with six arms were included in this analysis. A total of 2620 patients (mean age 58.6 ± 7.2 years and female proportion 44.8 %) completed the study and were included in our analysis. ADR was significantly higher with any i-scan (RR: 1.20, [CI: 1.06–1.34], P = 0.003) compared to HD colonoscopy. Subgroup analysis demonstrated that ADR was significantly higher using i-scan with surface and contrast enhancement only (RR: 1.25, [CI: 1.07–1.47], P = 0.004).

Conclusions i-scan has the potential to increase ADR using the surface and contrast enhancement method. Future studies evaluating other outcomes of interest such as proximal adenomas and serrated lesions are warranted.
Der Schockraum als Nahtstelle zwischen Präklinik und
Klinik
Authors: Bogner-Flatz Viktoria , Hinzmann Dominik , Kanz Karl-Georg , Bernhard Michael
Published: June 2022

Die ständige Vorhaltung und Verfügbarkeit eines Schockraums zur
Versorgung von kritisch kranken und schwer verletzten Patienten ist eine
wesentliche und für die transsektorale Notfallversorgung wichtige
klinische Ressource. In diesem Artikel sollen die derzeitigen Entwicklungen der
Schockraumbereitstellung in Deutschland aufgezeigt werden.
Anti-reflux mucosectomy for refractory gastroesophageal reflux disease: a systematic review and meta-analysis
Authors: Garg Rajat , Mohammed Abdul , Singh Amandeep , Schleicher Mary , Thota Prashanthi N. , Rustagi Tarun , Sanaka Madhusudhan R
Published: June 2022

Background and study aims Anti-reflux mucosectomy (ARMS) is an emerging endoscopic treatment for refractory gastroesophageal reflux disease (GERD). We conducted a systematic review and meta-analysis to evaluate the safety and efficacy ARMS in refractory GERD.

Methods A comprehensive search of multiple databases (through March 2020) was performed to identify studies that reported outcomes of ARMS for refractory GERD. Outcomes assessed included technical success, clinical response, and adverse events (AEs). Clinical response was defined as discontinuation (complete) or reduction (partial) of proton pump inhibitors post-ARMS at follow up.

Results A total of 307 patients (mean age 46.9 [8.1] years, 41.5 % females) were included from 10 studies. The technical success and clinical response rates were 97.7 % (95 % confidence interval [CI], 94.6–99.0) and 80.1 % (95 % CI, 61.6–91.0), respectively. The pooled rate of complete and partial clinical response was 65.3 % (95 % CI, 51.4–77.0) and 21.5 % (95 % CI, 14.2–31.2), respectively. The rate of AEs was 17.2 % (95 % CI, 13.1–22.2) with most common AE being dysphagia/esophageal stricture followed by bleeding with rates of 11.4 % and 5.0 %, respectively. GERD health-related quality of life (GERD-HRQL) (mean difference [MD] = 14.9, P < 0.001), GERD questionnaire (GERD-Q) (MD = 4.85, P < 0.001) and mean acid exposure time (MD = 2.39, P = 0.01) decreased significantly post-ARMS as compared to pre-procedure. There was no difference in terms of clinical response and AEs between ARMS and ARMS with banding on subgroup analysis.

Conclusions ARMS is a safe and effective procedure for treatment of refractory GERD with high rates of clinical response, acceptable safety profile and significant improvement in GERD-related quality of life. Prospective studies are needed to validate our findings.
Update Mammakarzinom 2021 Teil 4 – Prävention und frühe Krankheitsstadien
Authors: Thomssen Christoph , Fehm Tanja N. , Stickeler Elmar , Fasching Peter A. , Janni Wolfgang , Kolberg-Liedtke Cornelia , Kolberg Hans-Christian , Lüftner Diana , Müller Volkmar , Schütz Florian , Belleville Erik , Bader Simon , Untch Michael , Welslau Manfred , Thill Marc , Hartkopf Andreas D. , Tesch Hans , Ditsch Nina , Lux Michael P. , Wöckel Achim , Aktas Bahriye , Schneeweiss Andreas , Würstlein Rachel
Published: June 2022

Im vergangenen Jahr wurden für viele Patientinnen mit Mammakarzinom in frühem Krankheitsstadium neue und effektive Optionen für eine weitere Verbesserung der Behandlungsergebnisse gezeigt. Für Patientinnen mit hormonrezeptorpositiver Erkrankung zeigte sich ein signifikanter Zusatzeffekt durch den Einsatz des CDK4/6-Inhibitors Abemaciclib zusätzlich zur endokrinen adjuvanten Therapie. Bei triple-negativer Erkrankung wurden Daten für 2 Therapieprinzipien gezeigt. Patientinnen mit fortgeschrittener Erkrankung (Stadium 2 und 3) profitieren von dem neoadjuvanten Einsatz des Immuncheckpoint-Inhibitors Pembrolizumab unabhängig von der PD‑L1-Expression in Kombination mit einer Standardchemotherapie. Bei BRCA1- oder BRCA2-Mutation wurde ein eindrucksvoller Benefit durch den Einsatz des PARP-Inhibitors Olaparib gezeigt, wenn die neoadjuvante Therapie nicht zur gewünschten Remission geführt hat. Weitere Daten betreffen translationale Fragestellungen beim HER2-positiven Mammakarzinom sowie neoadjuvante Therapieansätze mit dem oralen SERD Giredestrant und dem PARP-Inhibitor Talazoparib. In dieser Übersichtsarbeit werden die Ergebnisse der wichtigsten Studienergebnisse dieses Jahres vorgestellt und bewertet.
Hämodynamisch relevante intrathorakale Blutung nach CPR: Fallbericht über eine reanimationsassoziierte Verletzung von Interkostalarterien mit Notwendigkeit einer arteriellen
Transkatheter-Embolisation
Authors: Obermaier Manuel , Do Thuy Duong
Published: June 2022

Traumata mit Rippen(serien)- und Sternumfrakturen sind häufige Folgen einer kardiopulmonalen Reanimation. Wir stellen einen Fall vor, bei dem es infolge der Thoraxkompressionen zu einer
Rippenserienfraktur mit hämodynamisch relevanter und transfusionspflichtiger Blutung aus 3 Interkostalarterien kam. Der Befund wurde mittels interventionell-radiologischer Coilembolisation
therapiert. Nach kardiopulmonaler Reanimation sollten, insbesondere bei hämodynamischer Instabilität, Traumata in Betracht gezogen und aktiv gesucht bzw. ausgeschlossen werden.
Planar central configurations of six bodies
Authors: Fernandes Antonio Carlos , Mello Luis Fernando , Ruiz dos Santos Lucas , Vidal Claudio
Published: June 2022

Central configurations of the n-body problem play an important role in the study of celestial mechanics. In this paper, we study six-body planar central configurations having certain symmetries. Special attention is given to the existence results of such configurations. With analytic proofs, we show the existence of a new central configuration, which is convex but not strictly convex, a non-symmetric concave case of central configuration, and some cases of stacked central configurations, which are central configurations with subsets of the bodies also forming central configurations.
Modeling atomically mixed graded density impactors
Authors: Aslam Tariq D. , McBride Michael A. , Rai Nirmal , Hooks Daniel E. , Stull Jamie A. , Jensen Brian J.
Published: June 2022

Graded density impactors (GDIs) are multi-material composite impactors used in gas gun experiments to tailor the drive conditions imparted to a sample test material. Previous graded density impactors generally rely on thin, but discrete, layers of different materials. The thinner and the greater number of layers will result in smoother compression. Taken to the limit of very thin layers would be pure material 1 at one surface, such as the front surface of an impactor, smoothly transitioning at the atomic scale to pure material 2 on the back surface. Such an impactor can initially shock, then smoothly compresses a material during a dynamic experiment. This type of experiment can serve to explore a larger region of thermodynamic space than a single or even multi-shock experiments. An overview of how graded density impactors are made is reviewed and sample results are given. A strategy for modeling these kinds of impactors is presented. The length scales of constituent mixing are given from the experimental build through electrochemical-deposition. Equation of state models for pure constituents and their subsequent mixtures are presented. It is demonstrated that the time scales for pressure and temperature equilibration, for atomically mixed GDIs, are short enough to be a justifiable closure for the resulting multiphase flow. Furthermore, we present simulation results of dynamic shock followed by a ramp compression, utilizing a silver/gold graded density impactor, onto a tantalum sample.
A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks
Authors: Shahi Shahrokh , Fenton Flavio H. , Cherry Elizabeth M.
Published: June 2022

Computational modeling and experimental/clinical prediction of the complex signals during cardiac arrhythmias have the potential to lead to new approaches for prevention and treatment. Machine-learning (ML) and deep-learning approaches can be used for time-series forecasting and have recently been applied to cardiac electrophysiology. While the high spatiotemporal nonlinearity of cardiac electrical dynamics has hindered application of these approaches, the fact that cardiac voltage time series are not random suggests that reliable and efficient ML methods have the potential to predict future action potentials. This work introduces and evaluates an integrated architecture in which a long short-term memory autoencoder (AE) is integrated into the echo state network (ESN) framework. In this approach, the AE learns a compressed representation of the input nonlinear time series. Then, the trained encoder serves as a feature-extraction component, feeding the learned features into the recurrent ESN reservoir. The proposed AE-ESN approach is evaluated using synthetic and experimental voltage time series from cardiac cells, which exhibit nonlinear and chaotic behavior. Compared to the baseline and physics-informed ESN approaches, the AE-ESN yields mean absolute errors in predicted voltage 6–14 times smaller when forecasting approximately 20 future action potentials for the datasets considered. The AE-ESN also demonstrates less sensitivity to algorithmic parameter settings. Furthermore, the representation provided by the feature-extraction component removes the requirement in previous work for explicitly introducing external stimulus currents, which may not be easily extracted from real-world datasets, as additional time series, thereby making the AE-ESN easier to apply to clinical data.