bluuebunny/crossref_metadata_2025 huggingface dataset:
Programmed guest confinement via hierarchical cage to cage transformations
Authors: Begato Federico , Licini Giulia , Zonta Cristiano
Published: July 2023

A novel methodology based on the use of phenanthrenequinone is applied to selectively change the subcomponent of TPMA-based cages, thus controlling inclusion ratio of competing guests differing in size or chirality.
Ultrabright two-photon excitable red-emissive fluorogenic probes for fast and wash-free bioorthogonal labelling in live cells
Authors: Auvray Marie , Naud-Martin Delphine , Fontaine Gaëlle , Bolze Frédéric , Clavier Gilles , Mahuteau-Betzer Florence
Published: July 2023

Our best fluorogenic probe enables live-cell imaging with high-contrast and no need for washing steps.
Acetate exchange mechanism on a Zr12 oxo hydroxo cluster: relevance for reshaping Zr–carboxylate coordination adaptable networks
Authors: Murali Meenu , Bijani Christian , Daran Jean-Claude , Manoury Eric , Poli Rinaldo
Published: July 2023

The acetate ligand exchange with free acetic acid in [Zr6O4(OH)4(O2CCH3)12]2, used as a model of crosslink migration in [Zr6O4(OH)4]-based coordination vitrimers, has been thoroughly investigated by dynamic 1H NMR and DFT calculations.
Molecular dynamics simulation of heavy oil dissolution in supercritical water and multi-component thermal fluid
Authors: Zhao Qiuyang , Zheng Lichen , Dong Yu , Jin Hui , Wang Yechun , Guo Liejin
Published: July 2023

For upgrading, SHS was suitable for carbon residue reduction and SCW and MCTF were suitable for viscosity reduction. For thermal recovery, SCW was able to show spontaneous miscibility in shallower reservoirs compared to MCTF and SHS may form coke and plug pores.
Early freezing dynamics of an aqueous foam
Authors: Bumma Krishan , Huerre Axel , Pierre Juliette , Séon Thomas
Published: July 2023

The solidification of a liquid foam involves the coupling of complex phenomena. Aqueous foam freezing is shown to follow short diffusive dynamics and a theoretical model is built for the ice growth that agrees well with the experimental data.
Improvement effect of p-sulfonatocalix[4]arene on the performance of the PEG/salt aqueous two-phase system
Authors: Cheng Yanrong , Xu Wenlin , Wang Yaqiong , Guo Xia
Published: July 2023

SC[4] and SC[4]/[Cnmim]Br complex as adjuvants promote the transfer of the extracts into the PEG phase significantly, and the SC[4]/[Cnmim]Br complex is superior to SC[4] in enhancing the performance of the ATPS.
ZeoNet: 3D convolutional neural networks for predicting adsorption in nanoporous zeolites
Authors: Liu Yachan , Perez Gustavo , Cheng Zezhou , Sun Aaron , Hoover Samuel C. , Fan Wei , Maji Subhransu , Bai Peng
Published: July 2023

ZeoNet, based on 3D convolutional neural networks and a volumetric distance-grid representation, delivers an exceptional performance in predicting Henry's constants for adsorption of long-chain hydrocarbon molecules in all-silica zeolites.
Unique Pd/PdO–In2O3 heterostructures for the highly efficient detection of triethylamine
Authors: Zhang Yumin , Deng Zongming , Zhao Jianhong , Zhou Tong , Puente Santiago Alain R. , He Tianwei , Zhang Jin , Liu Qingju , Hu Guangzhi
Published: July 2023

Rational design of Pd/PdO–In2O3 heterojunction effectively enhanced the comprehensive triethylamine sensing performance.
Cyclic stretch modulates the cell morphology transition under geometrical confinement by covalently immobilized gelatin
Authors: Fang Kun , Müller Stefan , Ueda Motoki , Nakagawa Yasuhiro , S Furukawa Katsuko , Ushida Takashi , Ikoma Toshiyuki , Ito Yoshihiro
Published: July 2023

Fibroblasts geometrically confined by photo-immobilized gelatin micropatterns were subjected to cyclic stretch on the silicone elastomer.
Fluorination of naphthalimide–cyanostilbene derivatives to achieve dual-state emission luminogens with strong fluorescence in highly polar environments for bioimaging
Authors: Shi Qiusi , Ni Yingyong , Yang Longmei , Kong Lin , Gu Peiyang , Wang Chengyuan , Zhang Qichun , Zhou Hongping , Yang Jiaxiang
Published: July 2023

Fluorination of naphthalimide–cyanostilbene derivatives to achieve dual-state emission luminogens with good environmental stability of fluorescence in solution and two-photon absorption (2PA) properties for cell-imaging with lipid droplet targeting.
3D printing-mediated microporous starch hydrogels for wound hemostasis
Authors: Zheng Bo , Qiu Zhipeng , Xu Jinchuan , Zeng Xixi , Liu Kun , Chen Ling
Published: July 2023

3D printing-mediated microporous starch hydrogels loaded with Ca2+ coagulation factor showed great hemostatic performance and stimulation of wound healing.
Resilience analysis and optimal control of grid‐connected converters under unbalanced voltage conditions
Authors: Wang Qi , Yu Peng , Wang Peng
Published: July 2023

The operational stability of grid‐connected converters is affected by unbalanced grid voltage, which often leads to overcurrent. The traditional control method maintains the grid‐into current within the rated limit by adjusting the current reference value. However, this method limits the output active power of the converters and affects their reliability, which can cause active power shortage or even disconnection of the power grid. To deal with this issue, this paper proposes an effective control strategy. First, the interaction between AC and DC sides of the converters under unbalanced voltage conditions is analysed. Second, the resilience is defined and elaborated. Third, considering various constraints such as the grid‐into current harmonics, power fluctuations and DC side voltage fluctuations, the operation resilience range of the converters is calculated. Based on the resilience range, an optimal operating point is selected and an optimal strategy is developed. Compared with the traditional strategy, the proposed strategy allows improving the maximum active power output capacity and resilience of the grid‐connected converters under unbalanced grid conditions, while simultaneously limiting the power fluctuations and grid‐into current distortions within an allowable range. Last, simulation and experimental results show the effectiveness and feasibility of the proposed strategy.
Resilient planning for high‐renewable‐integrated transmission systems under the impacts of ice storm disasters
Authors: Niu Tao , Huang Qianqian , Fang Sidun , Chen Guanhong , Liao Ruijin
Published: July 2023

Ice storm disasters pose great challenges to the safe and stable operation of transmission systems, especially in high‐renewable‐integration scenarios. However, as one of the major types of natural disasters that can have severe consequences, ice storm disasters are much less studied than hurricanes and earthquakes. Ice storm disasters are characterized by a long duration and wide scope, which affect the source, network, and load side of the power grid. It is difficult to formulate a quantitative evaluation of resilience and establish effective planning strategies. Here, a resilient planning method considering the interactive effects of ice disasters on sources, networks, and loads is therefore proposed. First, the two‐stage Monte Carlo method is used to generate multiple grid fault scenarios for different levels of ice storm disasters. Then, an index is proposed to quantify the grid resilience as the total amount of system power loss caused by ice storm disasters. Based on this approach, a two‐layer mathematical model is established with grid resilience and total investment cost objectives in each fault scenario. Hierarchical reinforcement and the protection of generating units and transmission lines are selected as investment strategies to mitigate the impact of ice storm disasters. Finally, the IEEE‐24 node transmission system is used to verify the feasibility and effectiveness of the proposed method. Optimizing the planning strategy can significantly improve system resilience with minimal investment cost.
Direction‐of‐arrival estimation for wideband linear frequency modulated signals with weighted l1‐norm in the fractional Fourier domain
Authors: Zhong Jun , Chen Zhong , Peng Fei , Bi Xiaowen , Chen Tingting
Published: July 2023

Direction‐of‐arrival (DOA) estimation methods for wideband linear frequency modulated (LFM) signals based on fractional Fourier transform (FRFT) typically use the single snapshot vector in the fractional Fourier (FRF) domain. However, the low‐rank problem of the second‐order statistics in the single snapshot vector can decrease the DOA estimation resolution and cause issues in DOA estimation for coherent sources. In order to address these problems, a weighted l1‐norm method based on FRFT is proposed. The proposed method utilises the energy aggregation property of FRFT for LFM signals. This allows for obtaining a single snapshot vector in the FRF domain. Subsequently, a sparse representation DOA estimation model is established by taking advantage of the sparsity of the target distribution in the spatial domain. The DOA estimation is then obtained by minimising the l1‐norm. To further enhance the DOA estimation performance, we construct a matrix by rearranging the elements of the eigenvectors corresponding to the nonzero eigenvalue of the covariance matrix in the FRF domain. The rank of this matrix is equal to the number of sources, ensuring the orthogonality of the subspace obtained by the reconstructed matrix. Finally, a weighted matrix is constructed by exploiting the subspace orthogonality principle to adjust the sparsity penalty of the l1 constraint model. Simulation results demonstrate that our method is capable of achieving high angular resolution and accuracy even at low SNR and can process coherent signals directly.
Investigating Gaia EDR3 parallax systematics using asteroseismology of Cool Giant Stars observed by Kepler, K2, and TESS
Authors: Khan S. , Miglio A. , Willett E. , Mosser B. , Elsworth Y. P. , Anderson R. I. , Girardi L. , Belkacem K. , Brown A. G. A. , Cantat-Gaudin T. , Casagrande L. , Clementini G. , Vallenari A.
Published: July 2023

Gaia EDR3 has provided unprecedented data that has generated a great deal of interest in the astrophysical community, even though systematics affect the reported parallaxes at the level of ∼10 μas. Independent distance measurements are available from asteroseismology of red-giant stars with measurable parallaxes, whose magnitude and colour ranges more closely reflect those of other stars of interest. In this paper we determine distances to nearly 12 500 red-giant-branch and red clump stars observed by Kepler, K2, and TESS. This was done via a grid-based modelling method, where global asteroseismic observables, and constraints on the photospheric chemical composition and on the unreddened photometry are used as observational inputs. This large catalogue of asteroseismic distances allows us to provide a first comparison with Gaia EDR3 parallaxes. Offset values estimated with asteroseismology show no clear trend with ecliptic latitude or magnitude, and the trend whereby they increase (in absolute terms) as we move towards redder colours is dominated by the brightest stars. The correction model proposed by Lindegren et al. (2021a) is not suitable for all the fields considered in this study. We find a good agreement between asteroseismic results and model predictions of the red clump magnitude. We discuss possible trends with the Gaia scan law statistics, and show that two magnitude regimes exist where either asteroseismology or Gaia provides the best precision in parallax.
The space weather around the exoplanet GJ 436b
Authors: Bellotti S. , Fares R. , Vidotto A. A. , Morin J. , Petit P. , Hussain G. A. J. , Bourrier V. , Donati J. F. , Moutou C. , Hébrard É. M.
Published: July 2023

Context. The space environment in which planets are embedded mainly depends on the host star and impacts the evolution of the planetary atmosphere. The quiet M dwarf GJ 436 hosts a close-in hot Neptune which is known to feature a comet-like tail of hydrogen atoms that escaped from its atmosphere due to energetic stellar irradiation. Understanding such star-planet interactions is essential to shed more light on planet formation and evolution theories, in particular the scarcity of Neptune-sized planets below a 3 d orbital period, also known as the ‘Neptune desert’.

Aims. We aimed to characterise the stellar environment around GJ 436, which requires accurate knowledge of the stellar magnetic field. The latter is studied efficiently with spectropolarimetry, since it is possible to recover the geometry of the large-scale magnetic field by applying tomographic inversion on time series of circularly polarised spectra.

Methods. We used spectropolarimetric data collected in the optical domain with Narval in 2016 to compute the longitudinal magnetic field, examine its periodic content via Lomb-Scargle periodogram and Gaussian process regression analysis, and finally reconstruct the large-scale field configuration by means of Zeeman-Doppler imaging.

Results. We found an average longitudinal field of −12 G and a stellar rotation period of 46.6 d using a Gaussian process model and 40.1 d using Zeeman-Doppler imaging, which are both consistent with the literature. The Lomb-Scargle analysis did not reveal any significant periodicity. The reconstructed large-scale magnetic field is predominantly poloidal, dipolar, and axisymmetric, with a mean strength of 16 G. This is in agreement with magnetic topologies seen for other stars of a similar spectral type and rotation rate.
Design And Build A Practicum Equipment For The Law Of Conservation Of Mechanical Energy Of Rolling Objects
Authors: Yulkifli  , Darwata Siti Riva , Yohandri  , Asrizal  , Darvina Yenni , Nofriandi Alwi , Sati’at Nur Anisa
Published: July 2023

Using photo gate sensor technology and digital displays, the research team created a legal practicum for energy conservation. This study aims to replace manual practicum equipment that is prone to measurement errors during practicum. This practicum equipment is used to prove the law of conservation of mechanical energy in rolling objects. Practicum equipment is developed using a development research process that starts with identifying needs and continues through design, manufacturing, and testing. At the design stage, validation of design results is carried out, while at the manufacturing and testing stages, design specifications and performance (measurement of accuracy and precision) are carried out. Based on the results of design validation, a value of 0.85 with a valid category was obtained, while accuracy was 90.7%, with an average accuracy of 97.46%, and a relative error of 8.33%. The thoroughness of the practicum equipment for the law of conservation of mechanical energy of rolling objects is quite good. We are currently developing several pieces of practicum equipment with IoT-assisted smartphone displays.
Analysis of Vibration Patterns on Slopes Due to Vehicles On Landslides Using The Microtremor Method, Tomilito District, North Gorontalo
Authors: Hasan Rifda , Demulawa Meilan , Arbie Asri , Yunginger Raghel , Gede Eka Setiawan Dewa , Kurniasari Septiana
Published: July 2023

This study aims to determine the graphic patterns of vibration on slopes caused by vehicles, and graphic designs can be observed based on the time and frequency domains. The research data were recorded using a movable type TDL 303 S (three components) with six measurement points in Tomilito District. The recorded data were processed using the Geopsy software. The data analysis was used is HVSR analysis. HVSR research has produced timeand frequency-domain graph patterns. Based on the data analysis, in the design of the time-domain graph, locations close to the road have interference/noise caused by the vehicle amplitudes. This area does not exist, and the frequency-domain graph has natural frequency values and amplification at the peak of the H/V curve. In each morning time curve, the frequency in the range of 18-37 Hz experiences an increase in amplitude. By contrast, the amplitude did not increase significantly.
Application of the Green Curtain Concept Using Passion Fruit (Passiflora edulis) as an Energy Efficiency Solution for Residential Houses
Authors: Jahja Mohamad , Bauna Sri Yanti , Sakakibara Masayuki , Supu Idawati
Published: July 2023

The application of green curtains is one of the important things for thermal comfort and energy efficiency. This research was conducted from April to September 2022, aiming to measure differences in temperature and humidity in rooms with green curtain and without green curtain and to find out the response of occupants in room with green curtains. In this study the plant used was the passion fruit vine, because this plant is one of the many fruits that grow in tropical and sub-tropical regions. The vine medium uses aluminium wire with a diameter of 3 mm, a width of 90 cm x 1 meter long, the distance between the wires is 15 cm x 15 cm. in April there was no difference in temperature between the two rooms, with an area of 133cm2 while in September, the room temperature with the green curtain was lower than in rooms without green curtain with a difference of 1.8 ºC. In this study the application of green curtain is very significant as a solution to thermal comfort.
Endophytic Bacteria Producing Antimicrobial Compounds of Musa balbisiana Colla
Authors: Utami Lakoro Sri , Retnowati Yuliana , Uno Wirnangsi D. , Kumaji Syam , Hasan Ani M. , Nusantari Elya
Published: July 2023

This study aims to obtain endophytic bacteria on Banana Hump (Musa Balbisiana Colla), know its ability to produce antimicrobial compounds and determine the identity of endophytic bacteria producing antimicrobial compounds. This research is quantitative descriptive research. Isolation of endophytic bacteria based on streak plate method and activity analysis antimicrobials using the Kirby Bauer method. Identification of endophytic bacteria based on morphological characteristics and molecular. The results showed that there was one type of endophytic bacteria that had the potential to have antibacterial activity hinder Escherichia coli and Staphylococcus aureus with the diameter of the inhibition zone on the test bacteria Eschercia colii.e. 8,10 and on Staphylococcus aureus 7.76mm. Bacterial isolates identified as Enterobacter ronggenkampii are closely related to Enterobacter ronggenkampii strain colony 354 chromosomes with a similarity index of 99.22%.
Implementation of the Floyd-Warshall Algorithm and Bellman-Ford Algorithm to Determine the Shortest Path in the Distribution of LPG Gas
Authors: Yusuf Moh. Rizky , Nurwan Nurwan , Wungguli Djihad , Yahya Lailany
Published: July 2023

In this article, the method use to determine the shortest path in the distribution of LPG is the Floyd-Warshall algorithm and the Bellman-Ford algorithm. These two methods will be compared to find out methods that can provide the best result. The best result is the path that has the minimum distance of distribution of LPG. Both of these algorithms are focused on simulating calculations that begin by representing the map in the form of a graph. Finally, the results obtained from this study are that using the Floyd-Warshall algorithm produces a path with a total distance of 111.05 KM while the Bellman-Ford algorithm produces 332.3 KM.
Analysis of Student’s Conceptual Understanding Using Two-Tier Multiple Choice Diagnostic Test on Acid-Base Topic
Authors: Lukum Astin , Karongkong Nisma , Pikoli Masrid , Tangio Julhim S. , Mohamad Erni , Rewini Kunusa Wiwin
Published: July 2023

This study aims to determine students’ understanding of concepts using a two-tier multiple-choice diagnostic test on acid-base material. The number of samples is 31 respondents. This type of research is descriptive qualitative. The instrument used is a Two-Tier Multiple-Choice Diagnostic Test. The first level consists of 5 answer choices, and the second level consists of 5 reason choices. The number of questions is 15 items. The results showed that students in the category of understanding concepts were 78.552%, misconceptions were 13.704%, and students in the category of not understanding concepts were 7.74%. Students understand the concept is in the high category of the three categories.
Primer concentration and Pre-denaturation Time Effect on cyt-K Bacillus cereus Detection using Real-Time PCR Method
Authors: Azzahra M. , Nurjayadi M. , Pramudiyasih N. A. , Kusumawati R. N. , Maulana I. , Declan J. L. , Putri G. I. , Juliansyah D. A. , Krisdawati I. , Kurniadewi F. , Kartika I. R. , Sukmawati D. , Nastassya L. , Saamia V. , Oktaviani D.A.S. , Wiranatha M. , Ali El-Enshasy H. , Abomoelak B.
Published: July 2023

Foodborne disease is a global threat that can affect all sections of society, both in developed or developing countries. Bacillus cereus is a Gram-positive bacteria that can cause food poisoning disease in humans. [2] Real-Time PCR detection method is one of the molecular marker methods that has been widely recognized as a fast, reliable, sensitive and specific detection tool for detecting pathogenic bacteria. In previous studies, the optimum condition and formulas applied for cyt-K 2 primer pairs have been obtained using Real-Time PCR. The purpose of this study is to find out the best conditions work of the primer pair cyt-K Bacillus cereus on detecting bacteria target using variations of pre-denaturation time and primer concentration with Real-Time PCR method. The annealing temperature used for PCR is at 60°C with sample concentration 50 ng/µL of B. cereus. Real-time PCR detection of variations in pre-denaturation time and primer concentration obtained the best conditions for primer pair cyt-K work at minute 4 with a primer concentration of 10 pmol and successfully amplifying the target by producing a Ct value of B. cereus at 13.04. Based on the results of the study, the primer pair cyt-K were reproducible in detecting the target gene and in the further step, this research can be continued to developed a prototype detection kit for foodborne pathogen bacteria using Real-Time PCR method.
Der Einfluss von Selbstwirksamkeit auf die tägliche Bewältigung von Schmerzen bei Patient*innen mit muskuloskelettalen Beschwerden
Authors: Didion Nick , Kramp Annalena , Karstens Sven
Published: July 2023

Hintergrund In der Physiotherapie findet das Konzept der Selbstwirksamkeit zunehmend Anwendung. Die subjektive Überzeugung von Patient*innen, in der Lage zu sein, ein bestimmtes Leistungsniveau bei einer Tätigkeit zu erreichen, soll gefördert werden.

Ziel Die Studie soll einen Überblick geben, wie sich Selbstwirksamkeit aus subjektiver Sicht von Patient*innen mit muskuloskelettalen Erkrankungen auf ihre Schmerzbewältigung im Alltag auswirkt.

Methode Es wurde eine qualitative Synthese durchgeführt. Für die Literaturrecherche wurden die Suchmaschinen PubMed und Google Scholar genutzt. Eingeschlossen wurden qualitative Studien mit Patient*innen mit muskuloskelettalen Beschwerden, die die Auswirkungen von Selbstwirksamkeit auf physische Symptome untersuchten. Die Qualitätsüberprüfung der Studien wurde anhand der „JBI Checklist for qualitative Synthesis“ durchgeführt. Die Auswertung der Daten orientierte sich an der strukturierenden Inhaltsanalyse. Die 4 Hauptkategorien wurden zunächst deduktiv anhand einer Theorie zur Selbstwirksamkeit gebildet.

Ergebnisse Es wurden 10 Studien in die Untersuchung einbezogen. Bei der Auswertung konnte der positive Effekt der erhöhten Selbstwirksamkeit auf eine bessere Schmerzverarbeitung ermittelt werden. Weiterhin konnten eine Verbesserung der Schmerzintensität sowie eine langfristige Verbesserung in allen Bereichen der Selbstwirksamkeitsaspekte herausgearbeitet werden.

Schlussfolgerung Die Stärkung der Selbstwirksamkeit von Patient*innen mit muskuloskelettalen Beschwerden sollte in physiotherapeutische Ansätze integriert werden. Durch die Stärkung der Selbstwirksamkeit entwickeln Patient*innen eine andere Einstellung zu Beschwerden und sind darauf aufbauend in der Lage, Ziele effizienter zu erreichen. Weitere Langzeitstudien zur Erfassung der Auswirkungen von Selbstwirksamkeit im physiotherapeutischen Kontext sind empfehlenswert.
Acute Glycemic Variability and Early Outcomes After Cardiac Surgery:
A Meta-Analysis
Authors: Chang Shuo , Xu Mian , Wang Yu , Zhang Yanbo
Published: July 2023

The influence of acute glycemic variability (GV) on early outcomes of patients
after cardiac surgery remains not fully determined. We performed a systematic
review and meta-analysis to evaluate the association between acute GV and
in-hospital outcomes of patients after cardiac surgery. Relevant observational
studies were obtained by search of electronic databases including Medline,
Embase, Cochrane Library, and Web of Science. A randomized-effects model was
selected to pool the data by incorporating the influence of potential
heterogeneity. Nine cohort studies involving 16 411 patients after cardiac
surgery were included in this meta-analysis. Pooled results showed that a high
acute GV was associated with an increased risk of major adverse events (MAE)
during hospitalization for patients after cardiac surgery [odds ratio [OR]:
1.29, 95% CI: 1.15 to 1.45, p<0.001, I22=38%].
Sensitivity analysis limited to studies of on-pump surgery and GV evaluated by
coefficient of variation of blood glucose showed similar results. Subgroup
analysis suggested that a high acute GV was related to an increased incidence of
MAE in patients after coronary artery bypass graft, but not for those after
isolated valvular surgery (p=0.04), and the association was weakened
after adjustment of glycosylated hemoglobin (p=0.01). Moreover, a high
acute GV was also related to an increased risk of in-hospital mortality (OR:
1.55, 95% CI: 1.15 to 2.09, p=0.004; I22=0%). A
high acute GV may be associated with poor in-hospital outcomes in patients after
cardiac surgery.
A Case Report of Madelung's Disease
Authors: Lee Bo Hyun , Lee Young Mann , Park Seong Oh , Chang Lan Sook , Kim Youn Hawn
Published: July 2023

Madelung's disease (MD) is a rare disease characterized by diffuse, nonencapsulated, multiple fat masses in different areas of the body. In this case report, we present a case of MD in Asia and its management. A 66-year-old man with a history of hypertension presented with massive growth of soft tissue around the neck, breasts, upper back, and lower abdomen. Preoperative magnetic resonance imaging revealed remarkably hypertrophic fat tissue around the neck and anterior chest was wall, which consistent with the diagnosis of MD. Multiple linear incisions were made on the neck and 763, 186, 635 g of posterior, right, and left fat tissues were excised, respectively. A single wide, transverse incision was done to excise 1,072 g of fat from the upper back. Masses of both breasts were excised, preserving the inferior pedicle, weighing 1,086 (right) and 1,164 g (left). The recovery was optimal and the patient was discharged without complications. In this case, we excised the adipose masses as much as possible and improved contour and symmetry. However, the fat infiltrations in the patient were diffusely distributed, making total fat excision difficult. This rare case report may help in managing patients with MD.
Validity evidence for simulator-based obstetric ultrasound competency assessment tool: a multi-center study
Authors: Zhao Yongfeng , Zhou Ping , Zhu Wenhui , Xiao Jidong , Liu Wengang , Luo Yingchun , Zhang Junhui , Yang Lan , Xu Yan , Tang Xiaohong
Published: July 2023

Purpose To collect validity evidence for a simulator-based obstetric ultrasound competency assessment tool (OUCAT).

Methods 89 sonographers from three centers (XY, MC, DT), including novices (n=21), experienced trainees (n=44), and experts (n=24), participated in the competency assessment. Validity evidence of OUCAT was collected according to Standards for Educational and Psychological Testing. Content validity was ensured by reviewing guidelines and reaching expert consensus. The response process was ensured via training raters. Internal structure was explored through internal consistency, inter-rater reliability, and test-retest reliability. Relations to other variables were explored by comparing OUCAT scores of sonographers with different experience. Evidence for consequences was collected by determining the pass/fail level.

Results OUCAT included 123 items, of which 117 items could effectively distinguish novices from experts (P<0.05). The internal consistency was represented by the Cronbach’s α coefficient (0.978). The inter-rater reliability was high, with XY being 0.868, MC being 0.877, and DT being 0.937 (P<0.001). Test-retest reliability was 0.732 (P=0.001). The performance of experts was significantly better than experienced trainees, and the performance of experienced trainees was significantly better than novices (70.3±10.7 vs. 39.8±15.0 vs. 20.5±10.6, P<0.001). The pass/fail level determined by contrast group method was 45 points. The passing rate of novices, experienced trainees and experts was 0% (0/21), 31.8% (14/44), and 100% (24/24), respectively.

Conclusion Simulator-based OUCAT exhibits good reliability and validity in assessing obstetric ultrasound skills.
The Validation and Modification of the Caprini Risk Assessment Model for Evaluating Venous Thromboembolism after Joint Arthroplasty
Authors: Qiao Liang , Yao Yao , Wu Dengxian , Xu Ruijuan , Cai Honggang , Shen Ying , Xu Zhihong , Jiang Qing
Published: July 2023

Background The Caprini risk assessment model (RAM) is the most commonly used tool for evaluating venous thromboembolism (VTE) risk, a high score for arthroplasty can result in patients being classified as high risk for VTE. Therefore, its value in post-arthroplasty has been subject to debate.

Methods Retrospective data were collected from patients who underwent arthroplasty between August 2015 and December 2021. The study cohort included 3,807 patients, all of whom underwent a thorough evaluation using Caprini RAM and vascular Doppler ultrasonography preoperatively.

Results A total of 432 individuals (11.35%) developed VTE, while 3,375 did not. Furthermore, 32 (0.84%) presented with symptomatic VTE, while 400 (10.51%) were detected as asymptomatic. Additionally, 368 (9.67%) VTE events occurred during the hospitalization period, and 64 (1.68%) cases were detected during postdischarge follow-up. Statistical analysis revealed significant differences between the VTE and non-VTE groups in terms of ages, blood loss, D-dimer, body mass index >25, visible varicose veins, swollen legs, smoking, history of blood clots, broken hip, percent of female, hypertension, and knee joint arthroplasty (p < 0.05). The Caprini score was found to be significantly higher in the VTE group (10.10 ± 2.23) compared with the non-VTE group (9.35 ± 2.14) (p < 0.001). Furthermore, there was a significant correlation between the incidence of VTE and the Caprini score (r = 0.775, p = 0.003). Patients with a score ≥9 are at a high-risk threshold for postoperative VTE.

Conclusion The Caprini RAM shows a significant correlation with the occurrence of VTE. A higher score indicates a greater likelihood of developing VTE. The score ≥9 is at particularly high risk of developing VTE.
Effects of 24-week Polarized Training vs. Threshold Training in Obese
Male Adults
Authors: D’Alleva Mattia , Giovanelli Nicola , Graniero Francesco , Billat Veronique Louise , Fiori Federica , Marinoni Michela , Parpinel Maria , Lazzer Stefano
Published: July 2023

The combination of high volume of moderate-intensity continuous training with a
low volume of high-intensity interval training improved body composition and
physical capacities in individuals with obesity. However, polarized training
(POL) has never been used in adult men with obesity. Thus, the purpose of this
study was to investigate changes in body composition and physical capacities
induced by a 24-week POL or threshold (THR) program in obese male adults. Twenty
male patients (mean age 39.8±6.3 yrs; mean body mass index [BMI]
31.6±2.7 kg∙m−2) participated in
this study (n: 10 POL, n: 10 THR). After 24-week, body mass (BM) and fat mass
(FM) decreased by -3.20±3.10 kg (P<0.05) and
-3.80±2.80 kg (P<0.05), respectively, similarly in both
groups. Maximal oxygen uptake (  ̇VO2max) and
  ̇VO2 at respiratory compensation point (RCP)
increased in the POL group (+8.5±12.2
and+9.0±17.0%, P<0.05) and in the THR group
(+4.24±8.64 and+4.0±6.70%,
P<0.05), as well   ̇VO2 at gas exchange
threshold (GET) increased similarly in both groups
(+12.8±12.0%, P<0.05). POL and THR were equally
effective in improving body composition and physical capacities in obese
subjects. Future studies are needed to determine whether adherence to the
training program can be improved by adding a running competition compared with a
group without competition at the end of the training program.
Who is in the emergency room matters when we talk about door-to-needle time: a single-center experience
Authors: Brunser Alejandro M. , Nuñez Juan-Cristobal , Mansilla Eloy , Cavada Gabriel , Olavarría Verónica , Muñoz Venturelli Paula , Lavados Pablo M.
Published: July 2023

Background The efficacy of intravenous thrombolysis (IVT) is time-dependent.

Objective To compare the door-to-needle (DTN) time of stroke neurologists (SNs) versus non-stroke neurologists (NSNs) and emergency room physicians (EPs). Additionally, we aimed to determine elements associated with DTN ≤ 20 minutes.

Methods Prospective study of patients with IVT treated at Clínica Alemana between June 2016 and September 2021.

Results A total of 301 patients underwent treatment for IVT. The mean DTN time was 43.3 ± 23.6 minutes. One hundred seventy-three (57.4%) patients were evaluated by SNs, 122 (40.5%) by NSNs, and 6 (2.1%) by EPs. The mean DTN times were 40.8 ± 23, 46 ± 24.7, and 58 ± 22.5 minutes, respectively. Door-to-needle time ≤ 20 minutes occurred more frequently when patients were treated by SNs compared to NSNs and EPs: 15%, 4%, and 0%, respectively (odds ratio [OR]: 4.3, 95% confidence interval [95%CI]: 1.66–11.5, p = 0.004). In univariate analysis DTN time ≤ 20 minutes was associated with treatment by a SN (p = 0.002), coronavirus disease 2019 pandemic period (p = 0.21), time to emergency room (ER) (p = 0.21), presence of diabetes (p = 0.142), hypercholesterolemia (p = 0.007), atrial fibrillation (p < 0.09), score on the National Institutes of Health Stroke Scale (NIHSS) (p = 0.001), lower systolic (p = 0.143) and diastolic (p = 0.21) blood pressures, the Alberta Stroke Program Early CT Score (ASPECTS; p = 0.09), vessel occlusion (p = 0.05), use of tenecteplase (p = 0.18), thrombectomy (p = 0.13), and years of experience of the physician (p < 0.001). After multivariate analysis, being treated by a SN (OR: 3.95; 95%CI: 1.44–10.8; p = 0.007), NIHSS (OR: 1.07; 95%CI: 1.02–1.12; p < 0.002) and lower systolic blood pressure (OR: 0.98; 95%CI: 0.96–0.99; p < 0.003) remained significant.

Conclusion Treatment by a SN resulted in a higher probability of treating the patient in a DTN time within 20 minutes.
A novel approach to predicting customer lifetime value in B2B SaaS companies
Authors: Curiskis Stephan , Dong Xiaojing , Jiang Fan , Scarr Mark
Published: July 2023

In this paper, we propose a flexible machine learning framework to predict customer lifetime value (CLV) in the Business-to-Business (B2B) Software-as-a-Service (SaaS) setting. The substantive and modeling challenges that surface in this context relate to more nuanced customer relationships, highly heterogeneous populations, multiple product offerings, and temporal data constraints. To tackle these issues, we treat the CLV estimation as a lump sum prediction problem across multiple products and develop a hierarchical ensembled CLV model. Lump sum prediction enables the use of a wide range of supervised machine learning techniques, which provide additional flexibility, richer features and exhibit an improvement over more conventional forecasting methods. The hierarchical approach is well suited to constrained temporal data and a customer segment model ensembling strategy is introduced as a hyperparameter model-tuning step. The proposed model framework is implemented on data from a B2B SaaS company and empirical results demonstrate its advantages in tackling a practical CLV prediction problem over simpler heuristics and traditional CLV approaches. Finally, several business applications are described where CLV predictions are employed to optimize marketing spend, ROI, and drive critical managerial insights in this context.
Beyond the hype: examining the relationship between Wikipedia attention and realised skewness for crypto assets
Authors: Nyakurukwa Kingstone , Seetharam Yudhvir
Published: July 2023

This study investigates the relationship between Wikipedia searches and the next day’s realised skewness for the top four cryptocurrencies between 2020 and 2022, using a time-varying framework. Daily realised skewness was calculated using one-minute data, and Wikipedia queries were used as a proxy for investor attention. The study reports a positive time-varying relationship between today’s Wikipedia attention and the next day’s realised skewness, with increases in Wikipedia attention on a given day associated with higher realised skewness on the following day. However, there was no significant contemporaneous relationship between Wikipedia attention and realised skewness. The study also found that the relationship between Wikipedia attention and realised skewness becomes more stable over time. The findings suggest that Wikipedia attention may be a useful predictor of realised skewness for cryptocurrencies, which could have implications for investors and market participants.
A functional logic for neurotransmitter corelease in the cholinergic forebrain pathway
Authors: Nair Aditya , Teo Yue Yang , Augustine George J. , Graf Martin
Published: July 2023

The cholinergic system of the basal forebrain plays an integral part in behaviors ranging from attention to learning, partly by altering the impact of noise in neural populations. The circuit computations underlying cholinergic actions are confounded by recent findings that forebrain cholinergic neurons corelease both acetylcholine (ACh) and GABA. We have identified that corelease of ACh and GABA by cholinergic inputs to the claustrum, a structure implicated in the control of attention, has opposing effects on the electrical activity of claustrum neurons that project to cortical vs. subcortical targets. These actions differentially alter neuronal gain and dynamic range in the two types of neurons. In model networks, the differential effects of ACh and GABA toggle network efficiency and the impact of noise on population dynamics between two different projection subcircuits. Such cholinergic switching between subcircuits provides a potential logic for neurotransmitter corelease in implementing behaviorally relevant computations.
The function of extra negation
Authors: Fortuin Egbert
Published: July 2023

This paper provides insight into the phenomenon of extra negation, also known as non-compositional, expletive, or pleonastic negation. It provides a corpus-based analysis of the Dutch negative privative construction, which consists ofzonder‘without’ andniet‘not’, in which one negation does not cancel the other. Two basic factors that trigger an extra negation are discussed, and an explanation of why these factors facilitate the use of an extra negation is offered. It is argued that the extra negation has a semantic-pragmatic function that is reminiscent of similar instances of extra negation in Dutch and other languages, specifically sentences consisting of a main clause and a subordinate clause containing a word which expresses implicit negation. It is shown that in complex hypotactic constructions, the extra negation is used to make explicit in the subordinate clause that the presupposition of non-occurrence is rejected.
The socio-digital manifestations of subtitling COVID-19-related clips on social media platforms in Saudi
Arabia
Authors: Altalidi Bandar
Published: July 2023

This paper examines how digital users in the Kingdom of Saudi Arabia responded to the COVID-19 pandemic via
engaging with crisis translation by subtitling COVID-19-related videos. It explores two aspects: (1) how did social media during
the pandemic encourage subtitled videos? and (2) how were these clips distributed and received by social media users? It is argued
that during the pandemic, social media facilitated the production and circulation of user-generated content by both individuals
and institutions to subtitle global news and other genres. To understand the socio-digital dynamics of (fan)subtitling, this
article analyses the subtitled clips posted on Twitter by the Saudi Ministry of Health (MoH) and 17 fansubbers during 2020.
Subtitling is considered crucial in spreading accurate information to KSA people in time for them to take precautions against the
pandemic in 2020. Another relevant factor is the developed technological infrastructure in KSA and the increased digital practice
of Saudi Arabians using social media. Following the analysis of 175 clips from the 17 chosen fansubbers and 255 clips from the
MoH, it was discovered that social media increased the visibility of COVID-19 clips with subtitles. There was an apparent
competition among the fansubbers to accumulate social capital (social media capital), which gave rise to social media fansubbing,
a form of non-professional subtitling produced by social media users. The subtitled clips were accompanied by various digital
parataxis that supports the analysis and examination of social media fansubbing and crisis transition on Twitter1.
“Hope dies – Action begins”
Authors: Morris Hanna E.
Published: July 2023

Drawing upon motifs of death, mass extinction, and predictions of chaos and collapse, the UK-based Extinction Rebellion (XR) demarcates itself as a different kind of environmental movement precisely because it “tells the truth” (in XR’s own words) about the climate crisis during a time of supposed false hope, denial, and delusion. In this paper, I analyze – through a critical discourse analysis (CDA) – how XR’s postnatural visions shape (and limit) the movement’s demands and proposals for change. My analysis reveals how XR’s calls for action are guided by a sense of loss and mourning for a future after nature’s end that are embedded with nostalgic undercurrents of a very particular mode of green nationalism. The potential exclusions and limitations of XR’s green nationalism are explored in this paper.
Surfactant assisted dip-coating method for deposition of polyethylmethacrylate-diamond coatings
Authors: Wang Zhengzheng , Zhitomirsky Igor
Published: July 2023

This investigation is motivated by increasing interest in polymer-diamond coatings for biomedical applications in implants and sensors. A conceptually new strategy is based on the feasibility of solubilisation of polyethyl methacrylate (PEMA) in isopropanol using 18β-glycyrrhetinic acid (GRA) and rhamnolipids (RLP) as solubilising agents. This approach offers benefits for biomedical applications by avoiding the use of traditional toxic solvents for PEMA dissolution. The ability to obtain concentrated solutions of high molecular mass polymer is a crucial factor for the development of a dip coating method. Potentiodynamic and impedance spectroscopy studies indicate that PEMA films provide corrosion protection of stainless steel in 3% NaCl solutions. The use of GRA facilitates the fabrication of films with improved protective properties. PEMA films are obtained as monolayers or multilayers of controlled film mass. Another important finding is a good dispersion of chemically inert microdiamond and nanodiamond particles using GRA and RLP. For the first time composite PEMA-diamond films are obtained using GRA and RLP as solubilising agents for PEMA and dispersing agents for diamonds in isopropanol solvent. The detailed analysis of film microstructures provides an insight into the influence of chemical structure of GRA and RLP on their interactions with PEMA and diamonds. Moreover, microstructure analysis indicates that such interactions are important for preventing defects in the composite films. The benefits of steroid-like dispersants are discussed. Composite films are obtained as monolayers with different diamond content or PEMA-diamond multilayers of different composition and film mass. The method represents a versatile strategy for the fabrication of alternating PEMA/PEMA-diamond multilayers. The benefits of the obtained microstructures for biomedical applications are discussed. The approach developed in this investigation opens an avenue for the fabrication of other polymer coatings containing various functional materials.
A hybrid model-based prognostics approach for estimating remaining useful life of rolling bearings
Authors: Li Wei , Deng Linfeng
Published: July 2023

Data-driven machine learning (ML) for rolling bearing remaining useful life (RUL) prediction is a promising method in condition-based maintenance. However, due to the uncertainty of optimal hyperparameter tuning of the ML model, it is very difficult for a data-driven method to accurately predict the RUL of rolling bearings. Aiming to address this problem, this paper proposes a hybrid model-based on continuous wavelet transform (CWT), convolutional neural network (CNN), Bayesian network and long short-term memory network for estimating the remaining usage of rolling bearings lifetime. Firstly, the one-dimensional vibration signal of a bearing is divided into six segments and then it is converted into the corresponding two-dimensional time-frequency feature images via CWT. Secondly, the two-dimensional images are input into the two-dimensional CNN for deep feature extraction in order to obtain a series of one-dimensional feature vectors. Finally, it is input into a Bayesian-optimized long short-term memory model to obtain a prediction of the RUL of the bearing. The effectiveness of the proposed method is verified using bearing data. The verification results show that the proposed method has better prediction accuracy than the other two compared prediction methods, which indicates that the proposed method can effectively extract the bearing fault features and accurately predict the RUL of rolling bearings.
A study of wormhole geometries in symmetric teleparallel gravity
Authors: Saleem Rabia , Israr Aslam M , Bamba Kazuharu
Published: July 2023

In this manuscript, we obtained the exact solutions of asymptotically flat wormhole (WH) geometry in the mechanism of symmetric f(Q) gravity (vanishing curvature and torsion) where Lagrangian is a function of nonmetricity Q. In this scenario, we choose two different types of f(Q) gravity models (logarithmic and exponential) along with the special choice of shape function

b
(
r
)
=

r

exp
(
γ
(
r
−

r

0

)
)

, and red-shift function

ϕ
(
r
)
=

r

0

2
r

. Here, γ affects the radius of curvature of WH. Under this scenario, we explore the viability of the shape function and energy conditions (ECs) of the WH solutions for each model. For both models, we determine the validity regions of ECs under some parameter spaces of the model parameters. The allowed parameter spaces for logarithmic and exponential models are illustrated in tables 1 and 2, respectively. The validity region for the null EC (NEC) represents that WH geometry in chosen f(Q) gravity models is supported by ordinary matter while exotic matter elsewhere. Furthermore, we represent the WH construction by embedding diagrams and shows that the derived WH solutions are stable for the allowed range of model parameters. Finally, it is concluded that such particular modified gravity can give us a more realistic and stable WH geometry.